Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- checkpoint-1000/config.json +30 -0
- checkpoint-1000/generation_config.json +7 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/trainer_state.json +749 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1500/config.json +30 -0
- checkpoint-1500/generation_config.json +7 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/trainer_state.json +1107 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-2000/config.json +30 -0
- checkpoint-2000/generation_config.json +7 -0
- checkpoint-2000/model.safetensors +3 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/trainer_state.json +1465 -0
- checkpoint-2000/training_args.bin +3 -0
- checkpoint-2500/config.json +30 -0
- checkpoint-2500/generation_config.json +7 -0
- checkpoint-2500/model.safetensors +3 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/trainer_state.json +1823 -0
- checkpoint-2500/training_args.bin +3 -0
- checkpoint-3000/config.json +30 -0
- checkpoint-3000/generation_config.json +7 -0
- checkpoint-3000/model.safetensors +3 -0
- checkpoint-3000/optimizer.pt +3 -0
- checkpoint-3000/rng_state.pth +3 -0
- checkpoint-3000/scheduler.pt +3 -0
- checkpoint-3000/trainer_state.json +2181 -0
- checkpoint-3000/training_args.bin +3 -0
- checkpoint-3500/config.json +30 -0
- checkpoint-3500/generation_config.json +7 -0
- checkpoint-3500/model.safetensors +3 -0
- checkpoint-3500/optimizer.pt +3 -0
- checkpoint-3500/rng_state.pth +3 -0
- checkpoint-3500/scheduler.pt +3 -0
- checkpoint-3500/trainer_state.json +2539 -0
- checkpoint-3500/training_args.bin +3 -0
- checkpoint-4000/config.json +30 -0
- checkpoint-4000/generation_config.json +7 -0
checkpoint-1000/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-1000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-1000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83b2283690c190c43aa549a22d1a3fda798ff4530c240e2c8cc935eb7bbf3396
|
3 |
+
size 802337544
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf1f00b3b4a003d644afab735229e0db118f4bbda037c2de97ab85a9e7b88d9e
|
3 |
+
size 2407189434
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f56790c3ee491baab329d1fe00f10cb0b9f5114649fad9b4021437c861c9b810
|
3 |
+
size 13990
|
checkpoint-1000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42670ac61cea9c26497d71cb2283cdd42e4f835a074a8600a4087204b15b45a5
|
3 |
+
size 1000
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,749 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9072233438491821,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-1000",
|
4 |
+
"epoch": 1.4970059880239521,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
}
|
727 |
+
],
|
728 |
+
"logging_steps": 10,
|
729 |
+
"max_steps": 9000,
|
730 |
+
"num_input_tokens_seen": 0,
|
731 |
+
"num_train_epochs": 14,
|
732 |
+
"save_steps": 500,
|
733 |
+
"stateful_callbacks": {
|
734 |
+
"TrainerControl": {
|
735 |
+
"args": {
|
736 |
+
"should_epoch_stop": false,
|
737 |
+
"should_evaluate": false,
|
738 |
+
"should_log": false,
|
739 |
+
"should_save": true,
|
740 |
+
"should_training_stop": false
|
741 |
+
},
|
742 |
+
"attributes": {}
|
743 |
+
}
|
744 |
+
},
|
745 |
+
"total_flos": 6.954005429747712e+16,
|
746 |
+
"train_batch_size": 16,
|
747 |
+
"trial_name": null,
|
748 |
+
"trial_params": null
|
749 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-1500/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-1500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-1500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:17deca4da9ef56af97f362253eddabc09ca7f3579e6794f92d70a1673e3bd15d
|
3 |
+
size 802337544
|
checkpoint-1500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4127998d8e3413a0c6fb58f1542d1de1e36359c372bb0a354cce7caaf12c16a2
|
3 |
+
size 2407189434
|
checkpoint-1500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e721764cfe6d7ef80d19a2ff27d723d65ac25eb377b60bb6e4c10a66202a1bf
|
3 |
+
size 13990
|
checkpoint-1500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a4963c3a03730b160fe3c8dc1c59fbd690229290da46d26feac9ca8ca03aa9a5
|
3 |
+
size 1000
|
checkpoint-1500/trainer_state.json
ADDED
@@ -0,0 +1,1107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7798940539360046,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-1500",
|
4 |
+
"epoch": 2.245508982035928,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.5119760479041915,
|
729 |
+
"grad_norm": 0.2890625,
|
730 |
+
"learning_rate": 0.00019416730477082533,
|
731 |
+
"loss": 0.9444,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.5269461077844313,
|
736 |
+
"grad_norm": 0.296875,
|
737 |
+
"learning_rate": 0.00019404886375423984,
|
738 |
+
"loss": 0.9829,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.5419161676646707,
|
743 |
+
"grad_norm": 0.27734375,
|
744 |
+
"learning_rate": 0.00019392926910386353,
|
745 |
+
"loss": 0.9532,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.55688622754491,
|
750 |
+
"grad_norm": 0.265625,
|
751 |
+
"learning_rate": 0.00019380852228668304,
|
752 |
+
"loss": 0.9769,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.5718562874251498,
|
757 |
+
"grad_norm": 0.275390625,
|
758 |
+
"learning_rate": 0.00019368662478381799,
|
759 |
+
"loss": 0.9783,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.5868263473053892,
|
764 |
+
"grad_norm": 0.2890625,
|
765 |
+
"learning_rate": 0.00019356357809050247,
|
766 |
+
"loss": 0.9881,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.6017964071856288,
|
771 |
+
"grad_norm": 0.232421875,
|
772 |
+
"learning_rate": 0.00019343938371606712,
|
773 |
+
"loss": 0.9883,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.6167664670658684,
|
778 |
+
"grad_norm": 0.2734375,
|
779 |
+
"learning_rate": 0.00019331404318392027,
|
780 |
+
"loss": 0.9893,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.6317365269461077,
|
785 |
+
"grad_norm": 0.248046875,
|
786 |
+
"learning_rate": 0.00019318755803152945,
|
787 |
+
"loss": 0.9851,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.6467065868263473,
|
792 |
+
"grad_norm": 0.28515625,
|
793 |
+
"learning_rate": 0.00019305992981040246,
|
794 |
+
"loss": 0.9531,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.6616766467065869,
|
799 |
+
"grad_norm": 0.275390625,
|
800 |
+
"learning_rate": 0.00019293116008606837,
|
801 |
+
"loss": 0.9717,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.6766467065868262,
|
806 |
+
"grad_norm": 0.232421875,
|
807 |
+
"learning_rate": 0.00019280125043805824,
|
808 |
+
"loss": 0.9699,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.6916167664670658,
|
813 |
+
"grad_norm": 0.2294921875,
|
814 |
+
"learning_rate": 0.00019267020245988592,
|
815 |
+
"loss": 0.9407,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.7065868263473054,
|
820 |
+
"grad_norm": 0.251953125,
|
821 |
+
"learning_rate": 0.00019253801775902824,
|
822 |
+
"loss": 0.977,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.7215568862275448,
|
827 |
+
"grad_norm": 0.287109375,
|
828 |
+
"learning_rate": 0.0001924046979569055,
|
829 |
+
"loss": 0.9549,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.7365269461077846,
|
834 |
+
"grad_norm": 0.248046875,
|
835 |
+
"learning_rate": 0.00019227024468886157,
|
836 |
+
"loss": 0.9824,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.751497005988024,
|
841 |
+
"grad_norm": 0.259765625,
|
842 |
+
"learning_rate": 0.00019213465960414368,
|
843 |
+
"loss": 0.9936,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.7664670658682635,
|
848 |
+
"grad_norm": 0.29296875,
|
849 |
+
"learning_rate": 0.00019199794436588243,
|
850 |
+
"loss": 1.0042,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.781437125748503,
|
855 |
+
"grad_norm": 0.23828125,
|
856 |
+
"learning_rate": 0.0001918601006510711,
|
857 |
+
"loss": 0.9629,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.7964071856287425,
|
862 |
+
"grad_norm": 0.2890625,
|
863 |
+
"learning_rate": 0.00019172113015054532,
|
864 |
+
"loss": 0.9522,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.811377245508982,
|
869 |
+
"grad_norm": 0.26953125,
|
870 |
+
"learning_rate": 0.0001915810345689622,
|
871 |
+
"loss": 0.9806,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.8263473053892216,
|
876 |
+
"grad_norm": 0.263671875,
|
877 |
+
"learning_rate": 0.00019143981562477947,
|
878 |
+
"loss": 0.9736,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.841317365269461,
|
883 |
+
"grad_norm": 0.2578125,
|
884 |
+
"learning_rate": 0.00019129747505023436,
|
885 |
+
"loss": 0.9701,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.8562874251497006,
|
890 |
+
"grad_norm": 0.22265625,
|
891 |
+
"learning_rate": 0.00019115401459132247,
|
892 |
+
"loss": 0.9494,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.8712574850299402,
|
897 |
+
"grad_norm": 0.251953125,
|
898 |
+
"learning_rate": 0.00019100943600777615,
|
899 |
+
"loss": 0.9922,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.8862275449101795,
|
904 |
+
"grad_norm": 0.2490234375,
|
905 |
+
"learning_rate": 0.00019086374107304312,
|
906 |
+
"loss": 0.9711,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.9011976047904193,
|
911 |
+
"grad_norm": 0.25390625,
|
912 |
+
"learning_rate": 0.00019071693157426457,
|
913 |
+
"loss": 0.9664,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.9161676646706587,
|
918 |
+
"grad_norm": 0.26171875,
|
919 |
+
"learning_rate": 0.00019056900931225333,
|
920 |
+
"loss": 0.9591,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.931137724550898,
|
925 |
+
"grad_norm": 0.380859375,
|
926 |
+
"learning_rate": 0.00019041997610147167,
|
927 |
+
"loss": 0.9942,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.9461077844311379,
|
932 |
+
"grad_norm": 0.2294921875,
|
933 |
+
"learning_rate": 0.0001902698337700092,
|
934 |
+
"loss": 0.9391,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9610778443113772,
|
939 |
+
"grad_norm": 0.298828125,
|
940 |
+
"learning_rate": 0.00019011858415956038,
|
941 |
+
"loss": 0.9993,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.9760479041916168,
|
946 |
+
"grad_norm": 0.29296875,
|
947 |
+
"learning_rate": 0.0001899662291254018,
|
948 |
+
"loss": 0.9571,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.9910179640718564,
|
953 |
+
"grad_norm": 0.283203125,
|
954 |
+
"learning_rate": 0.0001898127705363696,
|
955 |
+
"loss": 0.9835,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.0059880239520957,
|
960 |
+
"grad_norm": 0.27734375,
|
961 |
+
"learning_rate": 0.00018965821027483654,
|
962 |
+
"loss": 0.9305,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.020958083832335,
|
967 |
+
"grad_norm": 0.26171875,
|
968 |
+
"learning_rate": 0.00018950255023668876,
|
969 |
+
"loss": 0.8295,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 2.035928143712575,
|
974 |
+
"grad_norm": 0.240234375,
|
975 |
+
"learning_rate": 0.00018934579233130267,
|
976 |
+
"loss": 0.7653,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 2.0508982035928143,
|
981 |
+
"grad_norm": 0.29296875,
|
982 |
+
"learning_rate": 0.00018918793848152142,
|
983 |
+
"loss": 0.7581,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.065868263473054,
|
988 |
+
"grad_norm": 0.29296875,
|
989 |
+
"learning_rate": 0.00018902899062363143,
|
990 |
+
"loss": 0.7983,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 2.0808383233532934,
|
995 |
+
"grad_norm": 0.279296875,
|
996 |
+
"learning_rate": 0.0001888689507073385,
|
997 |
+
"loss": 0.8187,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.095808383233533,
|
1002 |
+
"grad_norm": 0.29296875,
|
1003 |
+
"learning_rate": 0.0001887078206957441,
|
1004 |
+
"loss": 0.7879,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.1107784431137726,
|
1009 |
+
"grad_norm": 0.2734375,
|
1010 |
+
"learning_rate": 0.000188545602565321,
|
1011 |
+
"loss": 0.8083,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 2.125748502994012,
|
1016 |
+
"grad_norm": 0.263671875,
|
1017 |
+
"learning_rate": 0.00018838229830588934,
|
1018 |
+
"loss": 0.8057,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 2.1407185628742513,
|
1023 |
+
"grad_norm": 0.244140625,
|
1024 |
+
"learning_rate": 0.00018821790992059196,
|
1025 |
+
"loss": 0.8194,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.155688622754491,
|
1030 |
+
"grad_norm": 0.2451171875,
|
1031 |
+
"learning_rate": 0.00018805243942587,
|
1032 |
+
"loss": 0.7958,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.1706586826347305,
|
1037 |
+
"grad_norm": 0.248046875,
|
1038 |
+
"learning_rate": 0.00018788588885143808,
|
1039 |
+
"loss": 0.8169,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.18562874251497,
|
1044 |
+
"grad_norm": 0.265625,
|
1045 |
+
"learning_rate": 0.00018771826024025946,
|
1046 |
+
"loss": 0.7722,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.2005988023952097,
|
1051 |
+
"grad_norm": 0.265625,
|
1052 |
+
"learning_rate": 0.0001875495556485208,
|
1053 |
+
"loss": 0.7934,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.215568862275449,
|
1058 |
+
"grad_norm": 0.244140625,
|
1059 |
+
"learning_rate": 0.00018737977714560738,
|
1060 |
+
"loss": 0.7915,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.230538922155689,
|
1065 |
+
"grad_norm": 0.310546875,
|
1066 |
+
"learning_rate": 0.00018720892681407708,
|
1067 |
+
"loss": 0.8021,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.245508982035928,
|
1072 |
+
"grad_norm": 0.298828125,
|
1073 |
+
"learning_rate": 0.00018703700674963547,
|
1074 |
+
"loss": 0.7987,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.245508982035928,
|
1079 |
+
"eval_loss": 0.7798940539360046,
|
1080 |
+
"eval_runtime": 109.62,
|
1081 |
+
"eval_samples_per_second": 9.122,
|
1082 |
+
"eval_steps_per_second": 1.14,
|
1083 |
+
"step": 1500
|
1084 |
+
}
|
1085 |
+
],
|
1086 |
+
"logging_steps": 10,
|
1087 |
+
"max_steps": 9000,
|
1088 |
+
"num_input_tokens_seen": 0,
|
1089 |
+
"num_train_epochs": 14,
|
1090 |
+
"save_steps": 500,
|
1091 |
+
"stateful_callbacks": {
|
1092 |
+
"TrainerControl": {
|
1093 |
+
"args": {
|
1094 |
+
"should_epoch_stop": false,
|
1095 |
+
"should_evaluate": false,
|
1096 |
+
"should_log": false,
|
1097 |
+
"should_save": true,
|
1098 |
+
"should_training_stop": false
|
1099 |
+
},
|
1100 |
+
"attributes": {}
|
1101 |
+
}
|
1102 |
+
},
|
1103 |
+
"total_flos": 1.0428398435303424e+17,
|
1104 |
+
"train_batch_size": 16,
|
1105 |
+
"trial_name": null,
|
1106 |
+
"trial_params": null
|
1107 |
+
}
|
checkpoint-1500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-2000/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-2000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-2000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea1ad04a15feae5c1349d35fac34da52c910834ee59e290b444a7f2ef8ac7a96
|
3 |
+
size 802337544
|
checkpoint-2000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0dabd483f1784f8dc4753f8788c023fef83497a8090bd80b3e4e539a614d2bc4
|
3 |
+
size 2407189434
|
checkpoint-2000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d77bc69a6941ab95918ba94cb68ce1fc6e31fd48c77db098e43e275b8386fcb6
|
3 |
+
size 13990
|
checkpoint-2000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75e45437b62903a953b21df5ba0bc38684d1cc900ef4c0d2bf23f2ad8aafefb4
|
3 |
+
size 1000
|
checkpoint-2000/trainer_state.json
ADDED
@@ -0,0 +1,1465 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6911507844924927,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-2000",
|
4 |
+
"epoch": 2.9940119760479043,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.5119760479041915,
|
729 |
+
"grad_norm": 0.2890625,
|
730 |
+
"learning_rate": 0.00019416730477082533,
|
731 |
+
"loss": 0.9444,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.5269461077844313,
|
736 |
+
"grad_norm": 0.296875,
|
737 |
+
"learning_rate": 0.00019404886375423984,
|
738 |
+
"loss": 0.9829,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.5419161676646707,
|
743 |
+
"grad_norm": 0.27734375,
|
744 |
+
"learning_rate": 0.00019392926910386353,
|
745 |
+
"loss": 0.9532,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.55688622754491,
|
750 |
+
"grad_norm": 0.265625,
|
751 |
+
"learning_rate": 0.00019380852228668304,
|
752 |
+
"loss": 0.9769,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.5718562874251498,
|
757 |
+
"grad_norm": 0.275390625,
|
758 |
+
"learning_rate": 0.00019368662478381799,
|
759 |
+
"loss": 0.9783,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.5868263473053892,
|
764 |
+
"grad_norm": 0.2890625,
|
765 |
+
"learning_rate": 0.00019356357809050247,
|
766 |
+
"loss": 0.9881,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.6017964071856288,
|
771 |
+
"grad_norm": 0.232421875,
|
772 |
+
"learning_rate": 0.00019343938371606712,
|
773 |
+
"loss": 0.9883,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.6167664670658684,
|
778 |
+
"grad_norm": 0.2734375,
|
779 |
+
"learning_rate": 0.00019331404318392027,
|
780 |
+
"loss": 0.9893,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.6317365269461077,
|
785 |
+
"grad_norm": 0.248046875,
|
786 |
+
"learning_rate": 0.00019318755803152945,
|
787 |
+
"loss": 0.9851,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.6467065868263473,
|
792 |
+
"grad_norm": 0.28515625,
|
793 |
+
"learning_rate": 0.00019305992981040246,
|
794 |
+
"loss": 0.9531,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.6616766467065869,
|
799 |
+
"grad_norm": 0.275390625,
|
800 |
+
"learning_rate": 0.00019293116008606837,
|
801 |
+
"loss": 0.9717,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.6766467065868262,
|
806 |
+
"grad_norm": 0.232421875,
|
807 |
+
"learning_rate": 0.00019280125043805824,
|
808 |
+
"loss": 0.9699,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.6916167664670658,
|
813 |
+
"grad_norm": 0.2294921875,
|
814 |
+
"learning_rate": 0.00019267020245988592,
|
815 |
+
"loss": 0.9407,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.7065868263473054,
|
820 |
+
"grad_norm": 0.251953125,
|
821 |
+
"learning_rate": 0.00019253801775902824,
|
822 |
+
"loss": 0.977,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.7215568862275448,
|
827 |
+
"grad_norm": 0.287109375,
|
828 |
+
"learning_rate": 0.0001924046979569055,
|
829 |
+
"loss": 0.9549,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.7365269461077846,
|
834 |
+
"grad_norm": 0.248046875,
|
835 |
+
"learning_rate": 0.00019227024468886157,
|
836 |
+
"loss": 0.9824,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.751497005988024,
|
841 |
+
"grad_norm": 0.259765625,
|
842 |
+
"learning_rate": 0.00019213465960414368,
|
843 |
+
"loss": 0.9936,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.7664670658682635,
|
848 |
+
"grad_norm": 0.29296875,
|
849 |
+
"learning_rate": 0.00019199794436588243,
|
850 |
+
"loss": 1.0042,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.781437125748503,
|
855 |
+
"grad_norm": 0.23828125,
|
856 |
+
"learning_rate": 0.0001918601006510711,
|
857 |
+
"loss": 0.9629,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.7964071856287425,
|
862 |
+
"grad_norm": 0.2890625,
|
863 |
+
"learning_rate": 0.00019172113015054532,
|
864 |
+
"loss": 0.9522,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.811377245508982,
|
869 |
+
"grad_norm": 0.26953125,
|
870 |
+
"learning_rate": 0.0001915810345689622,
|
871 |
+
"loss": 0.9806,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.8263473053892216,
|
876 |
+
"grad_norm": 0.263671875,
|
877 |
+
"learning_rate": 0.00019143981562477947,
|
878 |
+
"loss": 0.9736,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.841317365269461,
|
883 |
+
"grad_norm": 0.2578125,
|
884 |
+
"learning_rate": 0.00019129747505023436,
|
885 |
+
"loss": 0.9701,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.8562874251497006,
|
890 |
+
"grad_norm": 0.22265625,
|
891 |
+
"learning_rate": 0.00019115401459132247,
|
892 |
+
"loss": 0.9494,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.8712574850299402,
|
897 |
+
"grad_norm": 0.251953125,
|
898 |
+
"learning_rate": 0.00019100943600777615,
|
899 |
+
"loss": 0.9922,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.8862275449101795,
|
904 |
+
"grad_norm": 0.2490234375,
|
905 |
+
"learning_rate": 0.00019086374107304312,
|
906 |
+
"loss": 0.9711,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.9011976047904193,
|
911 |
+
"grad_norm": 0.25390625,
|
912 |
+
"learning_rate": 0.00019071693157426457,
|
913 |
+
"loss": 0.9664,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.9161676646706587,
|
918 |
+
"grad_norm": 0.26171875,
|
919 |
+
"learning_rate": 0.00019056900931225333,
|
920 |
+
"loss": 0.9591,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.931137724550898,
|
925 |
+
"grad_norm": 0.380859375,
|
926 |
+
"learning_rate": 0.00019041997610147167,
|
927 |
+
"loss": 0.9942,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.9461077844311379,
|
932 |
+
"grad_norm": 0.2294921875,
|
933 |
+
"learning_rate": 0.0001902698337700092,
|
934 |
+
"loss": 0.9391,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9610778443113772,
|
939 |
+
"grad_norm": 0.298828125,
|
940 |
+
"learning_rate": 0.00019011858415956038,
|
941 |
+
"loss": 0.9993,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.9760479041916168,
|
946 |
+
"grad_norm": 0.29296875,
|
947 |
+
"learning_rate": 0.0001899662291254018,
|
948 |
+
"loss": 0.9571,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.9910179640718564,
|
953 |
+
"grad_norm": 0.283203125,
|
954 |
+
"learning_rate": 0.0001898127705363696,
|
955 |
+
"loss": 0.9835,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.0059880239520957,
|
960 |
+
"grad_norm": 0.27734375,
|
961 |
+
"learning_rate": 0.00018965821027483654,
|
962 |
+
"loss": 0.9305,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.020958083832335,
|
967 |
+
"grad_norm": 0.26171875,
|
968 |
+
"learning_rate": 0.00018950255023668876,
|
969 |
+
"loss": 0.8295,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 2.035928143712575,
|
974 |
+
"grad_norm": 0.240234375,
|
975 |
+
"learning_rate": 0.00018934579233130267,
|
976 |
+
"loss": 0.7653,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 2.0508982035928143,
|
981 |
+
"grad_norm": 0.29296875,
|
982 |
+
"learning_rate": 0.00018918793848152142,
|
983 |
+
"loss": 0.7581,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.065868263473054,
|
988 |
+
"grad_norm": 0.29296875,
|
989 |
+
"learning_rate": 0.00018902899062363143,
|
990 |
+
"loss": 0.7983,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 2.0808383233532934,
|
995 |
+
"grad_norm": 0.279296875,
|
996 |
+
"learning_rate": 0.0001888689507073385,
|
997 |
+
"loss": 0.8187,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.095808383233533,
|
1002 |
+
"grad_norm": 0.29296875,
|
1003 |
+
"learning_rate": 0.0001887078206957441,
|
1004 |
+
"loss": 0.7879,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.1107784431137726,
|
1009 |
+
"grad_norm": 0.2734375,
|
1010 |
+
"learning_rate": 0.000188545602565321,
|
1011 |
+
"loss": 0.8083,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 2.125748502994012,
|
1016 |
+
"grad_norm": 0.263671875,
|
1017 |
+
"learning_rate": 0.00018838229830588934,
|
1018 |
+
"loss": 0.8057,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 2.1407185628742513,
|
1023 |
+
"grad_norm": 0.244140625,
|
1024 |
+
"learning_rate": 0.00018821790992059196,
|
1025 |
+
"loss": 0.8194,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.155688622754491,
|
1030 |
+
"grad_norm": 0.2451171875,
|
1031 |
+
"learning_rate": 0.00018805243942587,
|
1032 |
+
"loss": 0.7958,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.1706586826347305,
|
1037 |
+
"grad_norm": 0.248046875,
|
1038 |
+
"learning_rate": 0.00018788588885143808,
|
1039 |
+
"loss": 0.8169,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.18562874251497,
|
1044 |
+
"grad_norm": 0.265625,
|
1045 |
+
"learning_rate": 0.00018771826024025946,
|
1046 |
+
"loss": 0.7722,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.2005988023952097,
|
1051 |
+
"grad_norm": 0.265625,
|
1052 |
+
"learning_rate": 0.0001875495556485208,
|
1053 |
+
"loss": 0.7934,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.215568862275449,
|
1058 |
+
"grad_norm": 0.244140625,
|
1059 |
+
"learning_rate": 0.00018737977714560738,
|
1060 |
+
"loss": 0.7915,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.230538922155689,
|
1065 |
+
"grad_norm": 0.310546875,
|
1066 |
+
"learning_rate": 0.00018720892681407708,
|
1067 |
+
"loss": 0.8021,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.245508982035928,
|
1072 |
+
"grad_norm": 0.298828125,
|
1073 |
+
"learning_rate": 0.00018703700674963547,
|
1074 |
+
"loss": 0.7987,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.245508982035928,
|
1079 |
+
"eval_loss": 0.7798940539360046,
|
1080 |
+
"eval_runtime": 109.62,
|
1081 |
+
"eval_samples_per_second": 9.122,
|
1082 |
+
"eval_steps_per_second": 1.14,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 2.2604790419161676,
|
1087 |
+
"grad_norm": 0.259765625,
|
1088 |
+
"learning_rate": 0.00018686401906110964,
|
1089 |
+
"loss": 0.7979,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 2.2754491017964074,
|
1094 |
+
"grad_norm": 0.265625,
|
1095 |
+
"learning_rate": 0.00018668996587042252,
|
1096 |
+
"loss": 0.8255,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 2.2904191616766467,
|
1101 |
+
"grad_norm": 0.2470703125,
|
1102 |
+
"learning_rate": 0.00018651484931256685,
|
1103 |
+
"loss": 0.8252,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 2.305389221556886,
|
1108 |
+
"grad_norm": 0.25,
|
1109 |
+
"learning_rate": 0.00018633867153557905,
|
1110 |
+
"loss": 0.8455,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 2.320359281437126,
|
1115 |
+
"grad_norm": 0.302734375,
|
1116 |
+
"learning_rate": 0.00018616143470051263,
|
1117 |
+
"loss": 0.8118,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.3353293413173652,
|
1122 |
+
"grad_norm": 0.283203125,
|
1123 |
+
"learning_rate": 0.00018598314098141206,
|
1124 |
+
"loss": 0.8122,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 2.3502994011976046,
|
1129 |
+
"grad_norm": 0.24609375,
|
1130 |
+
"learning_rate": 0.00018580379256528576,
|
1131 |
+
"loss": 0.7965,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 2.3652694610778444,
|
1136 |
+
"grad_norm": 0.279296875,
|
1137 |
+
"learning_rate": 0.00018562339165207936,
|
1138 |
+
"loss": 0.8309,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 2.3802395209580838,
|
1143 |
+
"grad_norm": 0.31640625,
|
1144 |
+
"learning_rate": 0.00018544194045464886,
|
1145 |
+
"loss": 0.8046,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 2.3952095808383236,
|
1150 |
+
"grad_norm": 0.2734375,
|
1151 |
+
"learning_rate": 0.0001852594411987334,
|
1152 |
+
"loss": 0.8467,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 2.410179640718563,
|
1157 |
+
"grad_norm": 0.275390625,
|
1158 |
+
"learning_rate": 0.00018507589612292783,
|
1159 |
+
"loss": 0.8566,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.4251497005988023,
|
1164 |
+
"grad_norm": 0.30859375,
|
1165 |
+
"learning_rate": 0.00018489130747865548,
|
1166 |
+
"loss": 0.8297,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 2.440119760479042,
|
1171 |
+
"grad_norm": 0.359375,
|
1172 |
+
"learning_rate": 0.00018470567753014035,
|
1173 |
+
"loss": 0.7823,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.4550898203592815,
|
1178 |
+
"grad_norm": 0.29296875,
|
1179 |
+
"learning_rate": 0.0001845190085543795,
|
1180 |
+
"loss": 0.8558,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 2.470059880239521,
|
1185 |
+
"grad_norm": 0.3046875,
|
1186 |
+
"learning_rate": 0.0001843313028411149,
|
1187 |
+
"loss": 0.8262,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 2.4850299401197606,
|
1192 |
+
"grad_norm": 0.2578125,
|
1193 |
+
"learning_rate": 0.00018414256269280564,
|
1194 |
+
"loss": 0.7982,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 2.5,
|
1199 |
+
"grad_norm": 0.314453125,
|
1200 |
+
"learning_rate": 0.00018395279042459937,
|
1201 |
+
"loss": 0.8182,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.5149700598802394,
|
1206 |
+
"grad_norm": 0.328125,
|
1207 |
+
"learning_rate": 0.00018376198836430417,
|
1208 |
+
"loss": 0.8275,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 2.529940119760479,
|
1213 |
+
"grad_norm": 0.271484375,
|
1214 |
+
"learning_rate": 0.00018357015885235982,
|
1215 |
+
"loss": 0.8102,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 2.5449101796407185,
|
1220 |
+
"grad_norm": 0.3125,
|
1221 |
+
"learning_rate": 0.0001833773042418092,
|
1222 |
+
"loss": 0.8145,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 2.5598802395209583,
|
1227 |
+
"grad_norm": 1.40625,
|
1228 |
+
"learning_rate": 0.00018318342689826938,
|
1229 |
+
"loss": 0.8279,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.5748502994011977,
|
1234 |
+
"grad_norm": 0.275390625,
|
1235 |
+
"learning_rate": 0.00018298852919990252,
|
1236 |
+
"loss": 0.8354,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 2.589820359281437,
|
1241 |
+
"grad_norm": 0.3125,
|
1242 |
+
"learning_rate": 0.0001827926135373869,
|
1243 |
+
"loss": 0.8106,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.6047904191616764,
|
1248 |
+
"grad_norm": 0.267578125,
|
1249 |
+
"learning_rate": 0.00018259568231388738,
|
1250 |
+
"loss": 0.7983,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 2.6197604790419162,
|
1255 |
+
"grad_norm": 0.251953125,
|
1256 |
+
"learning_rate": 0.00018239773794502607,
|
1257 |
+
"loss": 0.8183,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.6347305389221556,
|
1262 |
+
"grad_norm": 0.294921875,
|
1263 |
+
"learning_rate": 0.00018219878285885267,
|
1264 |
+
"loss": 0.8462,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 2.6497005988023954,
|
1269 |
+
"grad_norm": 0.283203125,
|
1270 |
+
"learning_rate": 0.0001819988194958146,
|
1271 |
+
"loss": 0.8227,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 2.6646706586826348,
|
1276 |
+
"grad_norm": 0.2431640625,
|
1277 |
+
"learning_rate": 0.0001817978503087272,
|
1278 |
+
"loss": 0.8104,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 2.679640718562874,
|
1283 |
+
"grad_norm": 0.271484375,
|
1284 |
+
"learning_rate": 0.0001815958777627435,
|
1285 |
+
"loss": 0.7972,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.694610778443114,
|
1290 |
+
"grad_norm": 0.283203125,
|
1291 |
+
"learning_rate": 0.00018139290433532416,
|
1292 |
+
"loss": 0.8339,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 2.7095808383233533,
|
1297 |
+
"grad_norm": 0.298828125,
|
1298 |
+
"learning_rate": 0.00018118893251620682,
|
1299 |
+
"loss": 0.8723,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 2.724550898203593,
|
1304 |
+
"grad_norm": 0.3203125,
|
1305 |
+
"learning_rate": 0.00018098396480737585,
|
1306 |
+
"loss": 0.8544,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 2.7395209580838324,
|
1311 |
+
"grad_norm": 0.265625,
|
1312 |
+
"learning_rate": 0.0001807780037230315,
|
1313 |
+
"loss": 0.8557,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 2.754491017964072,
|
1318 |
+
"grad_norm": 0.279296875,
|
1319 |
+
"learning_rate": 0.00018057105178955905,
|
1320 |
+
"loss": 0.8283,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 2.769461077844311,
|
1325 |
+
"grad_norm": 0.3828125,
|
1326 |
+
"learning_rate": 0.00018036311154549784,
|
1327 |
+
"loss": 0.7906,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.784431137724551,
|
1332 |
+
"grad_norm": 0.2490234375,
|
1333 |
+
"learning_rate": 0.0001801541855415102,
|
1334 |
+
"loss": 0.8036,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 2.7994011976047903,
|
1339 |
+
"grad_norm": 0.298828125,
|
1340 |
+
"learning_rate": 0.00017994427634035015,
|
1341 |
+
"loss": 0.7828,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 2.81437125748503,
|
1346 |
+
"grad_norm": 0.306640625,
|
1347 |
+
"learning_rate": 0.00017973338651683176,
|
1348 |
+
"loss": 0.7915,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 2.8293413173652695,
|
1353 |
+
"grad_norm": 0.228515625,
|
1354 |
+
"learning_rate": 0.00017952151865779792,
|
1355 |
+
"loss": 0.8141,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 2.844311377245509,
|
1360 |
+
"grad_norm": 0.349609375,
|
1361 |
+
"learning_rate": 0.00017930867536208826,
|
1362 |
+
"loss": 0.8155,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 2.8592814371257482,
|
1367 |
+
"grad_norm": 0.310546875,
|
1368 |
+
"learning_rate": 0.00017909485924050758,
|
1369 |
+
"loss": 0.8004,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.874251497005988,
|
1374 |
+
"grad_norm": 0.2470703125,
|
1375 |
+
"learning_rate": 0.00017888007291579357,
|
1376 |
+
"loss": 0.803,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 2.8892215568862274,
|
1381 |
+
"grad_norm": 0.275390625,
|
1382 |
+
"learning_rate": 0.00017866431902258478,
|
1383 |
+
"loss": 0.804,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 2.904191616766467,
|
1388 |
+
"grad_norm": 0.310546875,
|
1389 |
+
"learning_rate": 0.00017844760020738827,
|
1390 |
+
"loss": 0.8154,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 2.9191616766467066,
|
1395 |
+
"grad_norm": 0.251953125,
|
1396 |
+
"learning_rate": 0.00017822991912854713,
|
1397 |
+
"loss": 0.8257,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 2.934131736526946,
|
1402 |
+
"grad_norm": 0.3125,
|
1403 |
+
"learning_rate": 0.00017801127845620793,
|
1404 |
+
"loss": 0.8386,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 2.9491017964071857,
|
1409 |
+
"grad_norm": 0.275390625,
|
1410 |
+
"learning_rate": 0.0001777916808722879,
|
1411 |
+
"loss": 0.8003,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.964071856287425,
|
1416 |
+
"grad_norm": 0.28515625,
|
1417 |
+
"learning_rate": 0.000177571129070442,
|
1418 |
+
"loss": 0.8055,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 2.979041916167665,
|
1423 |
+
"grad_norm": 0.271484375,
|
1424 |
+
"learning_rate": 0.00017734962575603,
|
1425 |
+
"loss": 0.8233,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 2.9940119760479043,
|
1430 |
+
"grad_norm": 0.255859375,
|
1431 |
+
"learning_rate": 0.00017712717364608328,
|
1432 |
+
"loss": 0.8106,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 2.9940119760479043,
|
1437 |
+
"eval_loss": 0.6911507844924927,
|
1438 |
+
"eval_runtime": 109.6711,
|
1439 |
+
"eval_samples_per_second": 9.118,
|
1440 |
+
"eval_steps_per_second": 1.14,
|
1441 |
+
"step": 2000
|
1442 |
+
}
|
1443 |
+
],
|
1444 |
+
"logging_steps": 10,
|
1445 |
+
"max_steps": 9000,
|
1446 |
+
"num_input_tokens_seen": 0,
|
1447 |
+
"num_train_epochs": 14,
|
1448 |
+
"save_steps": 500,
|
1449 |
+
"stateful_callbacks": {
|
1450 |
+
"TrainerControl": {
|
1451 |
+
"args": {
|
1452 |
+
"should_epoch_stop": false,
|
1453 |
+
"should_evaluate": false,
|
1454 |
+
"should_log": false,
|
1455 |
+
"should_save": true,
|
1456 |
+
"should_training_stop": false
|
1457 |
+
},
|
1458 |
+
"attributes": {}
|
1459 |
+
}
|
1460 |
+
},
|
1461 |
+
"total_flos": 1.3908010859495424e+17,
|
1462 |
+
"train_batch_size": 16,
|
1463 |
+
"trial_name": null,
|
1464 |
+
"trial_params": null
|
1465 |
+
}
|
checkpoint-2000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-2500/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-2500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-2500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:52a16fe3362916915dc5d75ad40ef5e7b0c09db26414471854e035adc89d33a4
|
3 |
+
size 802337544
|
checkpoint-2500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be83f8da8b0cb4c5561c901003da5411475cad4e09175269dcefd49854843c1d
|
3 |
+
size 2407189434
|
checkpoint-2500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:df83af33d9dd44ccaa55fb5093a41268b23107a4fc8be829b05e8a59317adb75
|
3 |
+
size 13990
|
checkpoint-2500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25287cc2d60649428b47465bf2d1382b4eb9beedc34f870ac3e779ed505ba32c
|
3 |
+
size 1000
|
checkpoint-2500/trainer_state.json
ADDED
@@ -0,0 +1,1823 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5838193893432617,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-2500",
|
4 |
+
"epoch": 3.7425149700598803,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.5119760479041915,
|
729 |
+
"grad_norm": 0.2890625,
|
730 |
+
"learning_rate": 0.00019416730477082533,
|
731 |
+
"loss": 0.9444,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.5269461077844313,
|
736 |
+
"grad_norm": 0.296875,
|
737 |
+
"learning_rate": 0.00019404886375423984,
|
738 |
+
"loss": 0.9829,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.5419161676646707,
|
743 |
+
"grad_norm": 0.27734375,
|
744 |
+
"learning_rate": 0.00019392926910386353,
|
745 |
+
"loss": 0.9532,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.55688622754491,
|
750 |
+
"grad_norm": 0.265625,
|
751 |
+
"learning_rate": 0.00019380852228668304,
|
752 |
+
"loss": 0.9769,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.5718562874251498,
|
757 |
+
"grad_norm": 0.275390625,
|
758 |
+
"learning_rate": 0.00019368662478381799,
|
759 |
+
"loss": 0.9783,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.5868263473053892,
|
764 |
+
"grad_norm": 0.2890625,
|
765 |
+
"learning_rate": 0.00019356357809050247,
|
766 |
+
"loss": 0.9881,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.6017964071856288,
|
771 |
+
"grad_norm": 0.232421875,
|
772 |
+
"learning_rate": 0.00019343938371606712,
|
773 |
+
"loss": 0.9883,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.6167664670658684,
|
778 |
+
"grad_norm": 0.2734375,
|
779 |
+
"learning_rate": 0.00019331404318392027,
|
780 |
+
"loss": 0.9893,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.6317365269461077,
|
785 |
+
"grad_norm": 0.248046875,
|
786 |
+
"learning_rate": 0.00019318755803152945,
|
787 |
+
"loss": 0.9851,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.6467065868263473,
|
792 |
+
"grad_norm": 0.28515625,
|
793 |
+
"learning_rate": 0.00019305992981040246,
|
794 |
+
"loss": 0.9531,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.6616766467065869,
|
799 |
+
"grad_norm": 0.275390625,
|
800 |
+
"learning_rate": 0.00019293116008606837,
|
801 |
+
"loss": 0.9717,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.6766467065868262,
|
806 |
+
"grad_norm": 0.232421875,
|
807 |
+
"learning_rate": 0.00019280125043805824,
|
808 |
+
"loss": 0.9699,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.6916167664670658,
|
813 |
+
"grad_norm": 0.2294921875,
|
814 |
+
"learning_rate": 0.00019267020245988592,
|
815 |
+
"loss": 0.9407,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.7065868263473054,
|
820 |
+
"grad_norm": 0.251953125,
|
821 |
+
"learning_rate": 0.00019253801775902824,
|
822 |
+
"loss": 0.977,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.7215568862275448,
|
827 |
+
"grad_norm": 0.287109375,
|
828 |
+
"learning_rate": 0.0001924046979569055,
|
829 |
+
"loss": 0.9549,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.7365269461077846,
|
834 |
+
"grad_norm": 0.248046875,
|
835 |
+
"learning_rate": 0.00019227024468886157,
|
836 |
+
"loss": 0.9824,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.751497005988024,
|
841 |
+
"grad_norm": 0.259765625,
|
842 |
+
"learning_rate": 0.00019213465960414368,
|
843 |
+
"loss": 0.9936,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.7664670658682635,
|
848 |
+
"grad_norm": 0.29296875,
|
849 |
+
"learning_rate": 0.00019199794436588243,
|
850 |
+
"loss": 1.0042,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.781437125748503,
|
855 |
+
"grad_norm": 0.23828125,
|
856 |
+
"learning_rate": 0.0001918601006510711,
|
857 |
+
"loss": 0.9629,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.7964071856287425,
|
862 |
+
"grad_norm": 0.2890625,
|
863 |
+
"learning_rate": 0.00019172113015054532,
|
864 |
+
"loss": 0.9522,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.811377245508982,
|
869 |
+
"grad_norm": 0.26953125,
|
870 |
+
"learning_rate": 0.0001915810345689622,
|
871 |
+
"loss": 0.9806,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.8263473053892216,
|
876 |
+
"grad_norm": 0.263671875,
|
877 |
+
"learning_rate": 0.00019143981562477947,
|
878 |
+
"loss": 0.9736,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.841317365269461,
|
883 |
+
"grad_norm": 0.2578125,
|
884 |
+
"learning_rate": 0.00019129747505023436,
|
885 |
+
"loss": 0.9701,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.8562874251497006,
|
890 |
+
"grad_norm": 0.22265625,
|
891 |
+
"learning_rate": 0.00019115401459132247,
|
892 |
+
"loss": 0.9494,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.8712574850299402,
|
897 |
+
"grad_norm": 0.251953125,
|
898 |
+
"learning_rate": 0.00019100943600777615,
|
899 |
+
"loss": 0.9922,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.8862275449101795,
|
904 |
+
"grad_norm": 0.2490234375,
|
905 |
+
"learning_rate": 0.00019086374107304312,
|
906 |
+
"loss": 0.9711,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.9011976047904193,
|
911 |
+
"grad_norm": 0.25390625,
|
912 |
+
"learning_rate": 0.00019071693157426457,
|
913 |
+
"loss": 0.9664,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.9161676646706587,
|
918 |
+
"grad_norm": 0.26171875,
|
919 |
+
"learning_rate": 0.00019056900931225333,
|
920 |
+
"loss": 0.9591,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.931137724550898,
|
925 |
+
"grad_norm": 0.380859375,
|
926 |
+
"learning_rate": 0.00019041997610147167,
|
927 |
+
"loss": 0.9942,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.9461077844311379,
|
932 |
+
"grad_norm": 0.2294921875,
|
933 |
+
"learning_rate": 0.0001902698337700092,
|
934 |
+
"loss": 0.9391,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9610778443113772,
|
939 |
+
"grad_norm": 0.298828125,
|
940 |
+
"learning_rate": 0.00019011858415956038,
|
941 |
+
"loss": 0.9993,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.9760479041916168,
|
946 |
+
"grad_norm": 0.29296875,
|
947 |
+
"learning_rate": 0.0001899662291254018,
|
948 |
+
"loss": 0.9571,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.9910179640718564,
|
953 |
+
"grad_norm": 0.283203125,
|
954 |
+
"learning_rate": 0.0001898127705363696,
|
955 |
+
"loss": 0.9835,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.0059880239520957,
|
960 |
+
"grad_norm": 0.27734375,
|
961 |
+
"learning_rate": 0.00018965821027483654,
|
962 |
+
"loss": 0.9305,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.020958083832335,
|
967 |
+
"grad_norm": 0.26171875,
|
968 |
+
"learning_rate": 0.00018950255023668876,
|
969 |
+
"loss": 0.8295,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 2.035928143712575,
|
974 |
+
"grad_norm": 0.240234375,
|
975 |
+
"learning_rate": 0.00018934579233130267,
|
976 |
+
"loss": 0.7653,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 2.0508982035928143,
|
981 |
+
"grad_norm": 0.29296875,
|
982 |
+
"learning_rate": 0.00018918793848152142,
|
983 |
+
"loss": 0.7581,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.065868263473054,
|
988 |
+
"grad_norm": 0.29296875,
|
989 |
+
"learning_rate": 0.00018902899062363143,
|
990 |
+
"loss": 0.7983,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 2.0808383233532934,
|
995 |
+
"grad_norm": 0.279296875,
|
996 |
+
"learning_rate": 0.0001888689507073385,
|
997 |
+
"loss": 0.8187,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.095808383233533,
|
1002 |
+
"grad_norm": 0.29296875,
|
1003 |
+
"learning_rate": 0.0001887078206957441,
|
1004 |
+
"loss": 0.7879,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.1107784431137726,
|
1009 |
+
"grad_norm": 0.2734375,
|
1010 |
+
"learning_rate": 0.000188545602565321,
|
1011 |
+
"loss": 0.8083,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 2.125748502994012,
|
1016 |
+
"grad_norm": 0.263671875,
|
1017 |
+
"learning_rate": 0.00018838229830588934,
|
1018 |
+
"loss": 0.8057,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 2.1407185628742513,
|
1023 |
+
"grad_norm": 0.244140625,
|
1024 |
+
"learning_rate": 0.00018821790992059196,
|
1025 |
+
"loss": 0.8194,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.155688622754491,
|
1030 |
+
"grad_norm": 0.2451171875,
|
1031 |
+
"learning_rate": 0.00018805243942587,
|
1032 |
+
"loss": 0.7958,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.1706586826347305,
|
1037 |
+
"grad_norm": 0.248046875,
|
1038 |
+
"learning_rate": 0.00018788588885143808,
|
1039 |
+
"loss": 0.8169,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.18562874251497,
|
1044 |
+
"grad_norm": 0.265625,
|
1045 |
+
"learning_rate": 0.00018771826024025946,
|
1046 |
+
"loss": 0.7722,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.2005988023952097,
|
1051 |
+
"grad_norm": 0.265625,
|
1052 |
+
"learning_rate": 0.0001875495556485208,
|
1053 |
+
"loss": 0.7934,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.215568862275449,
|
1058 |
+
"grad_norm": 0.244140625,
|
1059 |
+
"learning_rate": 0.00018737977714560738,
|
1060 |
+
"loss": 0.7915,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.230538922155689,
|
1065 |
+
"grad_norm": 0.310546875,
|
1066 |
+
"learning_rate": 0.00018720892681407708,
|
1067 |
+
"loss": 0.8021,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.245508982035928,
|
1072 |
+
"grad_norm": 0.298828125,
|
1073 |
+
"learning_rate": 0.00018703700674963547,
|
1074 |
+
"loss": 0.7987,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.245508982035928,
|
1079 |
+
"eval_loss": 0.7798940539360046,
|
1080 |
+
"eval_runtime": 109.62,
|
1081 |
+
"eval_samples_per_second": 9.122,
|
1082 |
+
"eval_steps_per_second": 1.14,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 2.2604790419161676,
|
1087 |
+
"grad_norm": 0.259765625,
|
1088 |
+
"learning_rate": 0.00018686401906110964,
|
1089 |
+
"loss": 0.7979,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 2.2754491017964074,
|
1094 |
+
"grad_norm": 0.265625,
|
1095 |
+
"learning_rate": 0.00018668996587042252,
|
1096 |
+
"loss": 0.8255,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 2.2904191616766467,
|
1101 |
+
"grad_norm": 0.2470703125,
|
1102 |
+
"learning_rate": 0.00018651484931256685,
|
1103 |
+
"loss": 0.8252,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 2.305389221556886,
|
1108 |
+
"grad_norm": 0.25,
|
1109 |
+
"learning_rate": 0.00018633867153557905,
|
1110 |
+
"loss": 0.8455,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 2.320359281437126,
|
1115 |
+
"grad_norm": 0.302734375,
|
1116 |
+
"learning_rate": 0.00018616143470051263,
|
1117 |
+
"loss": 0.8118,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.3353293413173652,
|
1122 |
+
"grad_norm": 0.283203125,
|
1123 |
+
"learning_rate": 0.00018598314098141206,
|
1124 |
+
"loss": 0.8122,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 2.3502994011976046,
|
1129 |
+
"grad_norm": 0.24609375,
|
1130 |
+
"learning_rate": 0.00018580379256528576,
|
1131 |
+
"loss": 0.7965,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 2.3652694610778444,
|
1136 |
+
"grad_norm": 0.279296875,
|
1137 |
+
"learning_rate": 0.00018562339165207936,
|
1138 |
+
"loss": 0.8309,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 2.3802395209580838,
|
1143 |
+
"grad_norm": 0.31640625,
|
1144 |
+
"learning_rate": 0.00018544194045464886,
|
1145 |
+
"loss": 0.8046,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 2.3952095808383236,
|
1150 |
+
"grad_norm": 0.2734375,
|
1151 |
+
"learning_rate": 0.0001852594411987334,
|
1152 |
+
"loss": 0.8467,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 2.410179640718563,
|
1157 |
+
"grad_norm": 0.275390625,
|
1158 |
+
"learning_rate": 0.00018507589612292783,
|
1159 |
+
"loss": 0.8566,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.4251497005988023,
|
1164 |
+
"grad_norm": 0.30859375,
|
1165 |
+
"learning_rate": 0.00018489130747865548,
|
1166 |
+
"loss": 0.8297,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 2.440119760479042,
|
1171 |
+
"grad_norm": 0.359375,
|
1172 |
+
"learning_rate": 0.00018470567753014035,
|
1173 |
+
"loss": 0.7823,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.4550898203592815,
|
1178 |
+
"grad_norm": 0.29296875,
|
1179 |
+
"learning_rate": 0.0001845190085543795,
|
1180 |
+
"loss": 0.8558,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 2.470059880239521,
|
1185 |
+
"grad_norm": 0.3046875,
|
1186 |
+
"learning_rate": 0.0001843313028411149,
|
1187 |
+
"loss": 0.8262,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 2.4850299401197606,
|
1192 |
+
"grad_norm": 0.2578125,
|
1193 |
+
"learning_rate": 0.00018414256269280564,
|
1194 |
+
"loss": 0.7982,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 2.5,
|
1199 |
+
"grad_norm": 0.314453125,
|
1200 |
+
"learning_rate": 0.00018395279042459937,
|
1201 |
+
"loss": 0.8182,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.5149700598802394,
|
1206 |
+
"grad_norm": 0.328125,
|
1207 |
+
"learning_rate": 0.00018376198836430417,
|
1208 |
+
"loss": 0.8275,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 2.529940119760479,
|
1213 |
+
"grad_norm": 0.271484375,
|
1214 |
+
"learning_rate": 0.00018357015885235982,
|
1215 |
+
"loss": 0.8102,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 2.5449101796407185,
|
1220 |
+
"grad_norm": 0.3125,
|
1221 |
+
"learning_rate": 0.0001833773042418092,
|
1222 |
+
"loss": 0.8145,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 2.5598802395209583,
|
1227 |
+
"grad_norm": 1.40625,
|
1228 |
+
"learning_rate": 0.00018318342689826938,
|
1229 |
+
"loss": 0.8279,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.5748502994011977,
|
1234 |
+
"grad_norm": 0.275390625,
|
1235 |
+
"learning_rate": 0.00018298852919990252,
|
1236 |
+
"loss": 0.8354,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 2.589820359281437,
|
1241 |
+
"grad_norm": 0.3125,
|
1242 |
+
"learning_rate": 0.0001827926135373869,
|
1243 |
+
"loss": 0.8106,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.6047904191616764,
|
1248 |
+
"grad_norm": 0.267578125,
|
1249 |
+
"learning_rate": 0.00018259568231388738,
|
1250 |
+
"loss": 0.7983,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 2.6197604790419162,
|
1255 |
+
"grad_norm": 0.251953125,
|
1256 |
+
"learning_rate": 0.00018239773794502607,
|
1257 |
+
"loss": 0.8183,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.6347305389221556,
|
1262 |
+
"grad_norm": 0.294921875,
|
1263 |
+
"learning_rate": 0.00018219878285885267,
|
1264 |
+
"loss": 0.8462,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 2.6497005988023954,
|
1269 |
+
"grad_norm": 0.283203125,
|
1270 |
+
"learning_rate": 0.0001819988194958146,
|
1271 |
+
"loss": 0.8227,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 2.6646706586826348,
|
1276 |
+
"grad_norm": 0.2431640625,
|
1277 |
+
"learning_rate": 0.0001817978503087272,
|
1278 |
+
"loss": 0.8104,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 2.679640718562874,
|
1283 |
+
"grad_norm": 0.271484375,
|
1284 |
+
"learning_rate": 0.0001815958777627435,
|
1285 |
+
"loss": 0.7972,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.694610778443114,
|
1290 |
+
"grad_norm": 0.283203125,
|
1291 |
+
"learning_rate": 0.00018139290433532416,
|
1292 |
+
"loss": 0.8339,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 2.7095808383233533,
|
1297 |
+
"grad_norm": 0.298828125,
|
1298 |
+
"learning_rate": 0.00018118893251620682,
|
1299 |
+
"loss": 0.8723,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 2.724550898203593,
|
1304 |
+
"grad_norm": 0.3203125,
|
1305 |
+
"learning_rate": 0.00018098396480737585,
|
1306 |
+
"loss": 0.8544,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 2.7395209580838324,
|
1311 |
+
"grad_norm": 0.265625,
|
1312 |
+
"learning_rate": 0.0001807780037230315,
|
1313 |
+
"loss": 0.8557,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 2.754491017964072,
|
1318 |
+
"grad_norm": 0.279296875,
|
1319 |
+
"learning_rate": 0.00018057105178955905,
|
1320 |
+
"loss": 0.8283,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 2.769461077844311,
|
1325 |
+
"grad_norm": 0.3828125,
|
1326 |
+
"learning_rate": 0.00018036311154549784,
|
1327 |
+
"loss": 0.7906,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.784431137724551,
|
1332 |
+
"grad_norm": 0.2490234375,
|
1333 |
+
"learning_rate": 0.0001801541855415102,
|
1334 |
+
"loss": 0.8036,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 2.7994011976047903,
|
1339 |
+
"grad_norm": 0.298828125,
|
1340 |
+
"learning_rate": 0.00017994427634035015,
|
1341 |
+
"loss": 0.7828,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 2.81437125748503,
|
1346 |
+
"grad_norm": 0.306640625,
|
1347 |
+
"learning_rate": 0.00017973338651683176,
|
1348 |
+
"loss": 0.7915,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 2.8293413173652695,
|
1353 |
+
"grad_norm": 0.228515625,
|
1354 |
+
"learning_rate": 0.00017952151865779792,
|
1355 |
+
"loss": 0.8141,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 2.844311377245509,
|
1360 |
+
"grad_norm": 0.349609375,
|
1361 |
+
"learning_rate": 0.00017930867536208826,
|
1362 |
+
"loss": 0.8155,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 2.8592814371257482,
|
1367 |
+
"grad_norm": 0.310546875,
|
1368 |
+
"learning_rate": 0.00017909485924050758,
|
1369 |
+
"loss": 0.8004,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.874251497005988,
|
1374 |
+
"grad_norm": 0.2470703125,
|
1375 |
+
"learning_rate": 0.00017888007291579357,
|
1376 |
+
"loss": 0.803,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 2.8892215568862274,
|
1381 |
+
"grad_norm": 0.275390625,
|
1382 |
+
"learning_rate": 0.00017866431902258478,
|
1383 |
+
"loss": 0.804,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 2.904191616766467,
|
1388 |
+
"grad_norm": 0.310546875,
|
1389 |
+
"learning_rate": 0.00017844760020738827,
|
1390 |
+
"loss": 0.8154,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 2.9191616766467066,
|
1395 |
+
"grad_norm": 0.251953125,
|
1396 |
+
"learning_rate": 0.00017822991912854713,
|
1397 |
+
"loss": 0.8257,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 2.934131736526946,
|
1402 |
+
"grad_norm": 0.3125,
|
1403 |
+
"learning_rate": 0.00017801127845620793,
|
1404 |
+
"loss": 0.8386,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 2.9491017964071857,
|
1409 |
+
"grad_norm": 0.275390625,
|
1410 |
+
"learning_rate": 0.0001777916808722879,
|
1411 |
+
"loss": 0.8003,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.964071856287425,
|
1416 |
+
"grad_norm": 0.28515625,
|
1417 |
+
"learning_rate": 0.000177571129070442,
|
1418 |
+
"loss": 0.8055,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 2.979041916167665,
|
1423 |
+
"grad_norm": 0.271484375,
|
1424 |
+
"learning_rate": 0.00017734962575603,
|
1425 |
+
"loss": 0.8233,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 2.9940119760479043,
|
1430 |
+
"grad_norm": 0.255859375,
|
1431 |
+
"learning_rate": 0.00017712717364608328,
|
1432 |
+
"loss": 0.8106,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 2.9940119760479043,
|
1437 |
+
"eval_loss": 0.6911507844924927,
|
1438 |
+
"eval_runtime": 109.6711,
|
1439 |
+
"eval_samples_per_second": 9.118,
|
1440 |
+
"eval_steps_per_second": 1.14,
|
1441 |
+
"step": 2000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 3.0089820359281436,
|
1445 |
+
"grad_norm": 0.37890625,
|
1446 |
+
"learning_rate": 0.00017690377546927133,
|
1447 |
+
"loss": 0.7276,
|
1448 |
+
"step": 2010
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 3.0239520958083834,
|
1452 |
+
"grad_norm": 0.27734375,
|
1453 |
+
"learning_rate": 0.00017667943396586848,
|
1454 |
+
"loss": 0.6882,
|
1455 |
+
"step": 2020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.038922155688623,
|
1459 |
+
"grad_norm": 0.291015625,
|
1460 |
+
"learning_rate": 0.0001764541518877202,
|
1461 |
+
"loss": 0.6786,
|
1462 |
+
"step": 2030
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 3.053892215568862,
|
1466 |
+
"grad_norm": 0.31640625,
|
1467 |
+
"learning_rate": 0.00017622793199820934,
|
1468 |
+
"loss": 0.6352,
|
1469 |
+
"step": 2040
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 3.068862275449102,
|
1473 |
+
"grad_norm": 0.294921875,
|
1474 |
+
"learning_rate": 0.00017600077707222224,
|
1475 |
+
"loss": 0.6648,
|
1476 |
+
"step": 2050
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.0838323353293413,
|
1480 |
+
"grad_norm": 0.294921875,
|
1481 |
+
"learning_rate": 0.00017577268989611472,
|
1482 |
+
"loss": 0.6601,
|
1483 |
+
"step": 2060
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 3.0988023952095807,
|
1487 |
+
"grad_norm": 0.361328125,
|
1488 |
+
"learning_rate": 0.00017554367326767792,
|
1489 |
+
"loss": 0.6645,
|
1490 |
+
"step": 2070
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 3.1137724550898205,
|
1494 |
+
"grad_norm": 0.251953125,
|
1495 |
+
"learning_rate": 0.00017531372999610384,
|
1496 |
+
"loss": 0.6631,
|
1497 |
+
"step": 2080
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 3.12874251497006,
|
1501 |
+
"grad_norm": 0.30078125,
|
1502 |
+
"learning_rate": 0.0001750828629019511,
|
1503 |
+
"loss": 0.6451,
|
1504 |
+
"step": 2090
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 3.143712574850299,
|
1508 |
+
"grad_norm": 0.365234375,
|
1509 |
+
"learning_rate": 0.00017485107481711012,
|
1510 |
+
"loss": 0.6703,
|
1511 |
+
"step": 2100
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 3.158682634730539,
|
1515 |
+
"grad_norm": 0.341796875,
|
1516 |
+
"learning_rate": 0.00017461836858476856,
|
1517 |
+
"loss": 0.6598,
|
1518 |
+
"step": 2110
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 3.1736526946107784,
|
1522 |
+
"grad_norm": 0.287109375,
|
1523 |
+
"learning_rate": 0.00017438474705937639,
|
1524 |
+
"loss": 0.6689,
|
1525 |
+
"step": 2120
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 3.1886227544910177,
|
1529 |
+
"grad_norm": 0.3125,
|
1530 |
+
"learning_rate": 0.0001741502131066107,
|
1531 |
+
"loss": 0.6741,
|
1532 |
+
"step": 2130
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 3.2035928143712575,
|
1536 |
+
"grad_norm": 0.31640625,
|
1537 |
+
"learning_rate": 0.000173914769603341,
|
1538 |
+
"loss": 0.6691,
|
1539 |
+
"step": 2140
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 3.218562874251497,
|
1543 |
+
"grad_norm": 0.322265625,
|
1544 |
+
"learning_rate": 0.00017367841943759338,
|
1545 |
+
"loss": 0.6702,
|
1546 |
+
"step": 2150
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 3.2335329341317367,
|
1550 |
+
"grad_norm": 0.265625,
|
1551 |
+
"learning_rate": 0.00017344116550851543,
|
1552 |
+
"loss": 0.6451,
|
1553 |
+
"step": 2160
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 3.248502994011976,
|
1557 |
+
"grad_norm": 0.328125,
|
1558 |
+
"learning_rate": 0.00017320301072634066,
|
1559 |
+
"loss": 0.6507,
|
1560 |
+
"step": 2170
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 3.2634730538922154,
|
1564 |
+
"grad_norm": 0.32421875,
|
1565 |
+
"learning_rate": 0.00017296395801235265,
|
1566 |
+
"loss": 0.695,
|
1567 |
+
"step": 2180
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 3.2784431137724552,
|
1571 |
+
"grad_norm": 0.31640625,
|
1572 |
+
"learning_rate": 0.00017272401029884933,
|
1573 |
+
"loss": 0.6798,
|
1574 |
+
"step": 2190
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 3.2934131736526946,
|
1578 |
+
"grad_norm": 0.330078125,
|
1579 |
+
"learning_rate": 0.000172483170529107,
|
1580 |
+
"loss": 0.6526,
|
1581 |
+
"step": 2200
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 3.308383233532934,
|
1585 |
+
"grad_norm": 0.35546875,
|
1586 |
+
"learning_rate": 0.00017224144165734417,
|
1587 |
+
"loss": 0.6538,
|
1588 |
+
"step": 2210
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 3.3233532934131738,
|
1592 |
+
"grad_norm": 0.291015625,
|
1593 |
+
"learning_rate": 0.00017199882664868538,
|
1594 |
+
"loss": 0.6777,
|
1595 |
+
"step": 2220
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 3.338323353293413,
|
1599 |
+
"grad_norm": 0.28515625,
|
1600 |
+
"learning_rate": 0.00017175532847912487,
|
1601 |
+
"loss": 0.6762,
|
1602 |
+
"step": 2230
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 3.3532934131736525,
|
1606 |
+
"grad_norm": 0.3203125,
|
1607 |
+
"learning_rate": 0.00017151095013548994,
|
1608 |
+
"loss": 0.673,
|
1609 |
+
"step": 2240
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 3.3682634730538923,
|
1613 |
+
"grad_norm": 0.318359375,
|
1614 |
+
"learning_rate": 0.00017126569461540443,
|
1615 |
+
"loss": 0.6757,
|
1616 |
+
"step": 2250
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 3.3832335329341316,
|
1620 |
+
"grad_norm": 0.3046875,
|
1621 |
+
"learning_rate": 0.00017101956492725185,
|
1622 |
+
"loss": 0.6563,
|
1623 |
+
"step": 2260
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 3.3982035928143715,
|
1627 |
+
"grad_norm": 0.267578125,
|
1628 |
+
"learning_rate": 0.00017077256409013866,
|
1629 |
+
"loss": 0.6877,
|
1630 |
+
"step": 2270
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 3.413173652694611,
|
1634 |
+
"grad_norm": 0.328125,
|
1635 |
+
"learning_rate": 0.000170524695133857,
|
1636 |
+
"loss": 0.67,
|
1637 |
+
"step": 2280
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 3.42814371257485,
|
1641 |
+
"grad_norm": 0.326171875,
|
1642 |
+
"learning_rate": 0.00017027596109884768,
|
1643 |
+
"loss": 0.6808,
|
1644 |
+
"step": 2290
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 3.44311377245509,
|
1648 |
+
"grad_norm": 0.318359375,
|
1649 |
+
"learning_rate": 0.00017002636503616282,
|
1650 |
+
"loss": 0.6941,
|
1651 |
+
"step": 2300
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 3.4580838323353293,
|
1655 |
+
"grad_norm": 0.279296875,
|
1656 |
+
"learning_rate": 0.00016977591000742854,
|
1657 |
+
"loss": 0.6798,
|
1658 |
+
"step": 2310
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 3.4730538922155687,
|
1662 |
+
"grad_norm": 0.287109375,
|
1663 |
+
"learning_rate": 0.0001695245990848072,
|
1664 |
+
"loss": 0.6718,
|
1665 |
+
"step": 2320
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 3.4880239520958085,
|
1669 |
+
"grad_norm": 0.30859375,
|
1670 |
+
"learning_rate": 0.00016927243535095997,
|
1671 |
+
"loss": 0.6483,
|
1672 |
+
"step": 2330
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 3.502994011976048,
|
1676 |
+
"grad_norm": 0.333984375,
|
1677 |
+
"learning_rate": 0.00016901942189900867,
|
1678 |
+
"loss": 0.7177,
|
1679 |
+
"step": 2340
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 3.5179640718562872,
|
1683 |
+
"grad_norm": 0.34765625,
|
1684 |
+
"learning_rate": 0.00016876556183249822,
|
1685 |
+
"loss": 0.6833,
|
1686 |
+
"step": 2350
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 3.532934131736527,
|
1690 |
+
"grad_norm": 0.365234375,
|
1691 |
+
"learning_rate": 0.00016851085826535838,
|
1692 |
+
"loss": 0.6826,
|
1693 |
+
"step": 2360
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 3.5479041916167664,
|
1697 |
+
"grad_norm": 0.396484375,
|
1698 |
+
"learning_rate": 0.00016825531432186543,
|
1699 |
+
"loss": 0.6835,
|
1700 |
+
"step": 2370
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 3.562874251497006,
|
1704 |
+
"grad_norm": 0.359375,
|
1705 |
+
"learning_rate": 0.00016799893313660408,
|
1706 |
+
"loss": 0.6791,
|
1707 |
+
"step": 2380
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 3.5778443113772456,
|
1711 |
+
"grad_norm": 0.291015625,
|
1712 |
+
"learning_rate": 0.0001677417178544289,
|
1713 |
+
"loss": 0.6787,
|
1714 |
+
"step": 2390
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 3.592814371257485,
|
1718 |
+
"grad_norm": 0.296875,
|
1719 |
+
"learning_rate": 0.00016748367163042576,
|
1720 |
+
"loss": 0.6542,
|
1721 |
+
"step": 2400
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 3.6077844311377243,
|
1725 |
+
"grad_norm": 0.30078125,
|
1726 |
+
"learning_rate": 0.00016722479762987317,
|
1727 |
+
"loss": 0.6805,
|
1728 |
+
"step": 2410
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 3.622754491017964,
|
1732 |
+
"grad_norm": 0.314453125,
|
1733 |
+
"learning_rate": 0.0001669650990282033,
|
1734 |
+
"loss": 0.6859,
|
1735 |
+
"step": 2420
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 3.6377245508982035,
|
1739 |
+
"grad_norm": 0.32421875,
|
1740 |
+
"learning_rate": 0.00016670457901096328,
|
1741 |
+
"loss": 0.6633,
|
1742 |
+
"step": 2430
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 3.6526946107784433,
|
1746 |
+
"grad_norm": 0.32421875,
|
1747 |
+
"learning_rate": 0.00016644324077377592,
|
1748 |
+
"loss": 0.6958,
|
1749 |
+
"step": 2440
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 3.6676646706586826,
|
1753 |
+
"grad_norm": 0.3125,
|
1754 |
+
"learning_rate": 0.00016618108752230052,
|
1755 |
+
"loss": 0.6965,
|
1756 |
+
"step": 2450
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 3.682634730538922,
|
1760 |
+
"grad_norm": 0.3046875,
|
1761 |
+
"learning_rate": 0.00016591812247219377,
|
1762 |
+
"loss": 0.6851,
|
1763 |
+
"step": 2460
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 3.697604790419162,
|
1767 |
+
"grad_norm": 0.400390625,
|
1768 |
+
"learning_rate": 0.00016565434884907002,
|
1769 |
+
"loss": 0.6669,
|
1770 |
+
"step": 2470
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 3.712574850299401,
|
1774 |
+
"grad_norm": 0.306640625,
|
1775 |
+
"learning_rate": 0.0001653897698884619,
|
1776 |
+
"loss": 0.6672,
|
1777 |
+
"step": 2480
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 3.727544910179641,
|
1781 |
+
"grad_norm": 0.30078125,
|
1782 |
+
"learning_rate": 0.00016512438883578044,
|
1783 |
+
"loss": 0.7049,
|
1784 |
+
"step": 2490
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 3.7425149700598803,
|
1788 |
+
"grad_norm": 0.30859375,
|
1789 |
+
"learning_rate": 0.0001648582089462756,
|
1790 |
+
"loss": 0.6821,
|
1791 |
+
"step": 2500
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 3.7425149700598803,
|
1795 |
+
"eval_loss": 0.5838193893432617,
|
1796 |
+
"eval_runtime": 109.8377,
|
1797 |
+
"eval_samples_per_second": 9.104,
|
1798 |
+
"eval_steps_per_second": 1.138,
|
1799 |
+
"step": 2500
|
1800 |
+
}
|
1801 |
+
],
|
1802 |
+
"logging_steps": 10,
|
1803 |
+
"max_steps": 9000,
|
1804 |
+
"num_input_tokens_seen": 0,
|
1805 |
+
"num_train_epochs": 14,
|
1806 |
+
"save_steps": 500,
|
1807 |
+
"stateful_callbacks": {
|
1808 |
+
"TrainerControl": {
|
1809 |
+
"args": {
|
1810 |
+
"should_epoch_stop": false,
|
1811 |
+
"should_evaluate": false,
|
1812 |
+
"should_log": false,
|
1813 |
+
"should_save": true,
|
1814 |
+
"should_training_stop": false
|
1815 |
+
},
|
1816 |
+
"attributes": {}
|
1817 |
+
}
|
1818 |
+
},
|
1819 |
+
"total_flos": 1.7382403865051136e+17,
|
1820 |
+
"train_batch_size": 16,
|
1821 |
+
"trial_name": null,
|
1822 |
+
"trial_params": null
|
1823 |
+
}
|
checkpoint-2500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-3000/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-3000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-3000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:934de6ff7a1b01db74ef49b5e5e6f4d53426ee825586e588cbe50d8e2bbc3569
|
3 |
+
size 802337544
|
checkpoint-3000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b91b3b7e32d3071cc3dfde4214de43638e048a379f2ae76999ec2e7fed6a12f2
|
3 |
+
size 2407189434
|
checkpoint-3000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31d69d8d5303b7ea25dd0db67bae0f13352c8bdadb4cb9c5111205c24fdcf26f
|
3 |
+
size 13990
|
checkpoint-3000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75f3beb3f58cdbe1a0ab21470e56d6a585cfcabbe063c7a960acbddbe0d6e3b2
|
3 |
+
size 1000
|
checkpoint-3000/trainer_state.json
ADDED
@@ -0,0 +1,2181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.49006855487823486,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-3000",
|
4 |
+
"epoch": 4.491017964071856,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.5119760479041915,
|
729 |
+
"grad_norm": 0.2890625,
|
730 |
+
"learning_rate": 0.00019416730477082533,
|
731 |
+
"loss": 0.9444,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.5269461077844313,
|
736 |
+
"grad_norm": 0.296875,
|
737 |
+
"learning_rate": 0.00019404886375423984,
|
738 |
+
"loss": 0.9829,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.5419161676646707,
|
743 |
+
"grad_norm": 0.27734375,
|
744 |
+
"learning_rate": 0.00019392926910386353,
|
745 |
+
"loss": 0.9532,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.55688622754491,
|
750 |
+
"grad_norm": 0.265625,
|
751 |
+
"learning_rate": 0.00019380852228668304,
|
752 |
+
"loss": 0.9769,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.5718562874251498,
|
757 |
+
"grad_norm": 0.275390625,
|
758 |
+
"learning_rate": 0.00019368662478381799,
|
759 |
+
"loss": 0.9783,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.5868263473053892,
|
764 |
+
"grad_norm": 0.2890625,
|
765 |
+
"learning_rate": 0.00019356357809050247,
|
766 |
+
"loss": 0.9881,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.6017964071856288,
|
771 |
+
"grad_norm": 0.232421875,
|
772 |
+
"learning_rate": 0.00019343938371606712,
|
773 |
+
"loss": 0.9883,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.6167664670658684,
|
778 |
+
"grad_norm": 0.2734375,
|
779 |
+
"learning_rate": 0.00019331404318392027,
|
780 |
+
"loss": 0.9893,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.6317365269461077,
|
785 |
+
"grad_norm": 0.248046875,
|
786 |
+
"learning_rate": 0.00019318755803152945,
|
787 |
+
"loss": 0.9851,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.6467065868263473,
|
792 |
+
"grad_norm": 0.28515625,
|
793 |
+
"learning_rate": 0.00019305992981040246,
|
794 |
+
"loss": 0.9531,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.6616766467065869,
|
799 |
+
"grad_norm": 0.275390625,
|
800 |
+
"learning_rate": 0.00019293116008606837,
|
801 |
+
"loss": 0.9717,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.6766467065868262,
|
806 |
+
"grad_norm": 0.232421875,
|
807 |
+
"learning_rate": 0.00019280125043805824,
|
808 |
+
"loss": 0.9699,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.6916167664670658,
|
813 |
+
"grad_norm": 0.2294921875,
|
814 |
+
"learning_rate": 0.00019267020245988592,
|
815 |
+
"loss": 0.9407,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.7065868263473054,
|
820 |
+
"grad_norm": 0.251953125,
|
821 |
+
"learning_rate": 0.00019253801775902824,
|
822 |
+
"loss": 0.977,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.7215568862275448,
|
827 |
+
"grad_norm": 0.287109375,
|
828 |
+
"learning_rate": 0.0001924046979569055,
|
829 |
+
"loss": 0.9549,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.7365269461077846,
|
834 |
+
"grad_norm": 0.248046875,
|
835 |
+
"learning_rate": 0.00019227024468886157,
|
836 |
+
"loss": 0.9824,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.751497005988024,
|
841 |
+
"grad_norm": 0.259765625,
|
842 |
+
"learning_rate": 0.00019213465960414368,
|
843 |
+
"loss": 0.9936,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.7664670658682635,
|
848 |
+
"grad_norm": 0.29296875,
|
849 |
+
"learning_rate": 0.00019199794436588243,
|
850 |
+
"loss": 1.0042,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.781437125748503,
|
855 |
+
"grad_norm": 0.23828125,
|
856 |
+
"learning_rate": 0.0001918601006510711,
|
857 |
+
"loss": 0.9629,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.7964071856287425,
|
862 |
+
"grad_norm": 0.2890625,
|
863 |
+
"learning_rate": 0.00019172113015054532,
|
864 |
+
"loss": 0.9522,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.811377245508982,
|
869 |
+
"grad_norm": 0.26953125,
|
870 |
+
"learning_rate": 0.0001915810345689622,
|
871 |
+
"loss": 0.9806,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.8263473053892216,
|
876 |
+
"grad_norm": 0.263671875,
|
877 |
+
"learning_rate": 0.00019143981562477947,
|
878 |
+
"loss": 0.9736,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.841317365269461,
|
883 |
+
"grad_norm": 0.2578125,
|
884 |
+
"learning_rate": 0.00019129747505023436,
|
885 |
+
"loss": 0.9701,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.8562874251497006,
|
890 |
+
"grad_norm": 0.22265625,
|
891 |
+
"learning_rate": 0.00019115401459132247,
|
892 |
+
"loss": 0.9494,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.8712574850299402,
|
897 |
+
"grad_norm": 0.251953125,
|
898 |
+
"learning_rate": 0.00019100943600777615,
|
899 |
+
"loss": 0.9922,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.8862275449101795,
|
904 |
+
"grad_norm": 0.2490234375,
|
905 |
+
"learning_rate": 0.00019086374107304312,
|
906 |
+
"loss": 0.9711,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.9011976047904193,
|
911 |
+
"grad_norm": 0.25390625,
|
912 |
+
"learning_rate": 0.00019071693157426457,
|
913 |
+
"loss": 0.9664,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.9161676646706587,
|
918 |
+
"grad_norm": 0.26171875,
|
919 |
+
"learning_rate": 0.00019056900931225333,
|
920 |
+
"loss": 0.9591,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.931137724550898,
|
925 |
+
"grad_norm": 0.380859375,
|
926 |
+
"learning_rate": 0.00019041997610147167,
|
927 |
+
"loss": 0.9942,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.9461077844311379,
|
932 |
+
"grad_norm": 0.2294921875,
|
933 |
+
"learning_rate": 0.0001902698337700092,
|
934 |
+
"loss": 0.9391,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9610778443113772,
|
939 |
+
"grad_norm": 0.298828125,
|
940 |
+
"learning_rate": 0.00019011858415956038,
|
941 |
+
"loss": 0.9993,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.9760479041916168,
|
946 |
+
"grad_norm": 0.29296875,
|
947 |
+
"learning_rate": 0.0001899662291254018,
|
948 |
+
"loss": 0.9571,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.9910179640718564,
|
953 |
+
"grad_norm": 0.283203125,
|
954 |
+
"learning_rate": 0.0001898127705363696,
|
955 |
+
"loss": 0.9835,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.0059880239520957,
|
960 |
+
"grad_norm": 0.27734375,
|
961 |
+
"learning_rate": 0.00018965821027483654,
|
962 |
+
"loss": 0.9305,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.020958083832335,
|
967 |
+
"grad_norm": 0.26171875,
|
968 |
+
"learning_rate": 0.00018950255023668876,
|
969 |
+
"loss": 0.8295,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 2.035928143712575,
|
974 |
+
"grad_norm": 0.240234375,
|
975 |
+
"learning_rate": 0.00018934579233130267,
|
976 |
+
"loss": 0.7653,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 2.0508982035928143,
|
981 |
+
"grad_norm": 0.29296875,
|
982 |
+
"learning_rate": 0.00018918793848152142,
|
983 |
+
"loss": 0.7581,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.065868263473054,
|
988 |
+
"grad_norm": 0.29296875,
|
989 |
+
"learning_rate": 0.00018902899062363143,
|
990 |
+
"loss": 0.7983,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 2.0808383233532934,
|
995 |
+
"grad_norm": 0.279296875,
|
996 |
+
"learning_rate": 0.0001888689507073385,
|
997 |
+
"loss": 0.8187,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.095808383233533,
|
1002 |
+
"grad_norm": 0.29296875,
|
1003 |
+
"learning_rate": 0.0001887078206957441,
|
1004 |
+
"loss": 0.7879,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.1107784431137726,
|
1009 |
+
"grad_norm": 0.2734375,
|
1010 |
+
"learning_rate": 0.000188545602565321,
|
1011 |
+
"loss": 0.8083,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 2.125748502994012,
|
1016 |
+
"grad_norm": 0.263671875,
|
1017 |
+
"learning_rate": 0.00018838229830588934,
|
1018 |
+
"loss": 0.8057,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 2.1407185628742513,
|
1023 |
+
"grad_norm": 0.244140625,
|
1024 |
+
"learning_rate": 0.00018821790992059196,
|
1025 |
+
"loss": 0.8194,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.155688622754491,
|
1030 |
+
"grad_norm": 0.2451171875,
|
1031 |
+
"learning_rate": 0.00018805243942587,
|
1032 |
+
"loss": 0.7958,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.1706586826347305,
|
1037 |
+
"grad_norm": 0.248046875,
|
1038 |
+
"learning_rate": 0.00018788588885143808,
|
1039 |
+
"loss": 0.8169,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.18562874251497,
|
1044 |
+
"grad_norm": 0.265625,
|
1045 |
+
"learning_rate": 0.00018771826024025946,
|
1046 |
+
"loss": 0.7722,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.2005988023952097,
|
1051 |
+
"grad_norm": 0.265625,
|
1052 |
+
"learning_rate": 0.0001875495556485208,
|
1053 |
+
"loss": 0.7934,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.215568862275449,
|
1058 |
+
"grad_norm": 0.244140625,
|
1059 |
+
"learning_rate": 0.00018737977714560738,
|
1060 |
+
"loss": 0.7915,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.230538922155689,
|
1065 |
+
"grad_norm": 0.310546875,
|
1066 |
+
"learning_rate": 0.00018720892681407708,
|
1067 |
+
"loss": 0.8021,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.245508982035928,
|
1072 |
+
"grad_norm": 0.298828125,
|
1073 |
+
"learning_rate": 0.00018703700674963547,
|
1074 |
+
"loss": 0.7987,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.245508982035928,
|
1079 |
+
"eval_loss": 0.7798940539360046,
|
1080 |
+
"eval_runtime": 109.62,
|
1081 |
+
"eval_samples_per_second": 9.122,
|
1082 |
+
"eval_steps_per_second": 1.14,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 2.2604790419161676,
|
1087 |
+
"grad_norm": 0.259765625,
|
1088 |
+
"learning_rate": 0.00018686401906110964,
|
1089 |
+
"loss": 0.7979,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 2.2754491017964074,
|
1094 |
+
"grad_norm": 0.265625,
|
1095 |
+
"learning_rate": 0.00018668996587042252,
|
1096 |
+
"loss": 0.8255,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 2.2904191616766467,
|
1101 |
+
"grad_norm": 0.2470703125,
|
1102 |
+
"learning_rate": 0.00018651484931256685,
|
1103 |
+
"loss": 0.8252,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 2.305389221556886,
|
1108 |
+
"grad_norm": 0.25,
|
1109 |
+
"learning_rate": 0.00018633867153557905,
|
1110 |
+
"loss": 0.8455,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 2.320359281437126,
|
1115 |
+
"grad_norm": 0.302734375,
|
1116 |
+
"learning_rate": 0.00018616143470051263,
|
1117 |
+
"loss": 0.8118,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.3353293413173652,
|
1122 |
+
"grad_norm": 0.283203125,
|
1123 |
+
"learning_rate": 0.00018598314098141206,
|
1124 |
+
"loss": 0.8122,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 2.3502994011976046,
|
1129 |
+
"grad_norm": 0.24609375,
|
1130 |
+
"learning_rate": 0.00018580379256528576,
|
1131 |
+
"loss": 0.7965,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 2.3652694610778444,
|
1136 |
+
"grad_norm": 0.279296875,
|
1137 |
+
"learning_rate": 0.00018562339165207936,
|
1138 |
+
"loss": 0.8309,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 2.3802395209580838,
|
1143 |
+
"grad_norm": 0.31640625,
|
1144 |
+
"learning_rate": 0.00018544194045464886,
|
1145 |
+
"loss": 0.8046,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 2.3952095808383236,
|
1150 |
+
"grad_norm": 0.2734375,
|
1151 |
+
"learning_rate": 0.0001852594411987334,
|
1152 |
+
"loss": 0.8467,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 2.410179640718563,
|
1157 |
+
"grad_norm": 0.275390625,
|
1158 |
+
"learning_rate": 0.00018507589612292783,
|
1159 |
+
"loss": 0.8566,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.4251497005988023,
|
1164 |
+
"grad_norm": 0.30859375,
|
1165 |
+
"learning_rate": 0.00018489130747865548,
|
1166 |
+
"loss": 0.8297,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 2.440119760479042,
|
1171 |
+
"grad_norm": 0.359375,
|
1172 |
+
"learning_rate": 0.00018470567753014035,
|
1173 |
+
"loss": 0.7823,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.4550898203592815,
|
1178 |
+
"grad_norm": 0.29296875,
|
1179 |
+
"learning_rate": 0.0001845190085543795,
|
1180 |
+
"loss": 0.8558,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 2.470059880239521,
|
1185 |
+
"grad_norm": 0.3046875,
|
1186 |
+
"learning_rate": 0.0001843313028411149,
|
1187 |
+
"loss": 0.8262,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 2.4850299401197606,
|
1192 |
+
"grad_norm": 0.2578125,
|
1193 |
+
"learning_rate": 0.00018414256269280564,
|
1194 |
+
"loss": 0.7982,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 2.5,
|
1199 |
+
"grad_norm": 0.314453125,
|
1200 |
+
"learning_rate": 0.00018395279042459937,
|
1201 |
+
"loss": 0.8182,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.5149700598802394,
|
1206 |
+
"grad_norm": 0.328125,
|
1207 |
+
"learning_rate": 0.00018376198836430417,
|
1208 |
+
"loss": 0.8275,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 2.529940119760479,
|
1213 |
+
"grad_norm": 0.271484375,
|
1214 |
+
"learning_rate": 0.00018357015885235982,
|
1215 |
+
"loss": 0.8102,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 2.5449101796407185,
|
1220 |
+
"grad_norm": 0.3125,
|
1221 |
+
"learning_rate": 0.0001833773042418092,
|
1222 |
+
"loss": 0.8145,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 2.5598802395209583,
|
1227 |
+
"grad_norm": 1.40625,
|
1228 |
+
"learning_rate": 0.00018318342689826938,
|
1229 |
+
"loss": 0.8279,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.5748502994011977,
|
1234 |
+
"grad_norm": 0.275390625,
|
1235 |
+
"learning_rate": 0.00018298852919990252,
|
1236 |
+
"loss": 0.8354,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 2.589820359281437,
|
1241 |
+
"grad_norm": 0.3125,
|
1242 |
+
"learning_rate": 0.0001827926135373869,
|
1243 |
+
"loss": 0.8106,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.6047904191616764,
|
1248 |
+
"grad_norm": 0.267578125,
|
1249 |
+
"learning_rate": 0.00018259568231388738,
|
1250 |
+
"loss": 0.7983,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 2.6197604790419162,
|
1255 |
+
"grad_norm": 0.251953125,
|
1256 |
+
"learning_rate": 0.00018239773794502607,
|
1257 |
+
"loss": 0.8183,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.6347305389221556,
|
1262 |
+
"grad_norm": 0.294921875,
|
1263 |
+
"learning_rate": 0.00018219878285885267,
|
1264 |
+
"loss": 0.8462,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 2.6497005988023954,
|
1269 |
+
"grad_norm": 0.283203125,
|
1270 |
+
"learning_rate": 0.0001819988194958146,
|
1271 |
+
"loss": 0.8227,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 2.6646706586826348,
|
1276 |
+
"grad_norm": 0.2431640625,
|
1277 |
+
"learning_rate": 0.0001817978503087272,
|
1278 |
+
"loss": 0.8104,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 2.679640718562874,
|
1283 |
+
"grad_norm": 0.271484375,
|
1284 |
+
"learning_rate": 0.0001815958777627435,
|
1285 |
+
"loss": 0.7972,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.694610778443114,
|
1290 |
+
"grad_norm": 0.283203125,
|
1291 |
+
"learning_rate": 0.00018139290433532416,
|
1292 |
+
"loss": 0.8339,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 2.7095808383233533,
|
1297 |
+
"grad_norm": 0.298828125,
|
1298 |
+
"learning_rate": 0.00018118893251620682,
|
1299 |
+
"loss": 0.8723,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 2.724550898203593,
|
1304 |
+
"grad_norm": 0.3203125,
|
1305 |
+
"learning_rate": 0.00018098396480737585,
|
1306 |
+
"loss": 0.8544,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 2.7395209580838324,
|
1311 |
+
"grad_norm": 0.265625,
|
1312 |
+
"learning_rate": 0.0001807780037230315,
|
1313 |
+
"loss": 0.8557,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 2.754491017964072,
|
1318 |
+
"grad_norm": 0.279296875,
|
1319 |
+
"learning_rate": 0.00018057105178955905,
|
1320 |
+
"loss": 0.8283,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 2.769461077844311,
|
1325 |
+
"grad_norm": 0.3828125,
|
1326 |
+
"learning_rate": 0.00018036311154549784,
|
1327 |
+
"loss": 0.7906,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.784431137724551,
|
1332 |
+
"grad_norm": 0.2490234375,
|
1333 |
+
"learning_rate": 0.0001801541855415102,
|
1334 |
+
"loss": 0.8036,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 2.7994011976047903,
|
1339 |
+
"grad_norm": 0.298828125,
|
1340 |
+
"learning_rate": 0.00017994427634035015,
|
1341 |
+
"loss": 0.7828,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 2.81437125748503,
|
1346 |
+
"grad_norm": 0.306640625,
|
1347 |
+
"learning_rate": 0.00017973338651683176,
|
1348 |
+
"loss": 0.7915,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 2.8293413173652695,
|
1353 |
+
"grad_norm": 0.228515625,
|
1354 |
+
"learning_rate": 0.00017952151865779792,
|
1355 |
+
"loss": 0.8141,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 2.844311377245509,
|
1360 |
+
"grad_norm": 0.349609375,
|
1361 |
+
"learning_rate": 0.00017930867536208826,
|
1362 |
+
"loss": 0.8155,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 2.8592814371257482,
|
1367 |
+
"grad_norm": 0.310546875,
|
1368 |
+
"learning_rate": 0.00017909485924050758,
|
1369 |
+
"loss": 0.8004,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.874251497005988,
|
1374 |
+
"grad_norm": 0.2470703125,
|
1375 |
+
"learning_rate": 0.00017888007291579357,
|
1376 |
+
"loss": 0.803,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 2.8892215568862274,
|
1381 |
+
"grad_norm": 0.275390625,
|
1382 |
+
"learning_rate": 0.00017866431902258478,
|
1383 |
+
"loss": 0.804,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 2.904191616766467,
|
1388 |
+
"grad_norm": 0.310546875,
|
1389 |
+
"learning_rate": 0.00017844760020738827,
|
1390 |
+
"loss": 0.8154,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 2.9191616766467066,
|
1395 |
+
"grad_norm": 0.251953125,
|
1396 |
+
"learning_rate": 0.00017822991912854713,
|
1397 |
+
"loss": 0.8257,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 2.934131736526946,
|
1402 |
+
"grad_norm": 0.3125,
|
1403 |
+
"learning_rate": 0.00017801127845620793,
|
1404 |
+
"loss": 0.8386,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 2.9491017964071857,
|
1409 |
+
"grad_norm": 0.275390625,
|
1410 |
+
"learning_rate": 0.0001777916808722879,
|
1411 |
+
"loss": 0.8003,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.964071856287425,
|
1416 |
+
"grad_norm": 0.28515625,
|
1417 |
+
"learning_rate": 0.000177571129070442,
|
1418 |
+
"loss": 0.8055,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 2.979041916167665,
|
1423 |
+
"grad_norm": 0.271484375,
|
1424 |
+
"learning_rate": 0.00017734962575603,
|
1425 |
+
"loss": 0.8233,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 2.9940119760479043,
|
1430 |
+
"grad_norm": 0.255859375,
|
1431 |
+
"learning_rate": 0.00017712717364608328,
|
1432 |
+
"loss": 0.8106,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 2.9940119760479043,
|
1437 |
+
"eval_loss": 0.6911507844924927,
|
1438 |
+
"eval_runtime": 109.6711,
|
1439 |
+
"eval_samples_per_second": 9.118,
|
1440 |
+
"eval_steps_per_second": 1.14,
|
1441 |
+
"step": 2000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 3.0089820359281436,
|
1445 |
+
"grad_norm": 0.37890625,
|
1446 |
+
"learning_rate": 0.00017690377546927133,
|
1447 |
+
"loss": 0.7276,
|
1448 |
+
"step": 2010
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 3.0239520958083834,
|
1452 |
+
"grad_norm": 0.27734375,
|
1453 |
+
"learning_rate": 0.00017667943396586848,
|
1454 |
+
"loss": 0.6882,
|
1455 |
+
"step": 2020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.038922155688623,
|
1459 |
+
"grad_norm": 0.291015625,
|
1460 |
+
"learning_rate": 0.0001764541518877202,
|
1461 |
+
"loss": 0.6786,
|
1462 |
+
"step": 2030
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 3.053892215568862,
|
1466 |
+
"grad_norm": 0.31640625,
|
1467 |
+
"learning_rate": 0.00017622793199820934,
|
1468 |
+
"loss": 0.6352,
|
1469 |
+
"step": 2040
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 3.068862275449102,
|
1473 |
+
"grad_norm": 0.294921875,
|
1474 |
+
"learning_rate": 0.00017600077707222224,
|
1475 |
+
"loss": 0.6648,
|
1476 |
+
"step": 2050
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.0838323353293413,
|
1480 |
+
"grad_norm": 0.294921875,
|
1481 |
+
"learning_rate": 0.00017577268989611472,
|
1482 |
+
"loss": 0.6601,
|
1483 |
+
"step": 2060
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 3.0988023952095807,
|
1487 |
+
"grad_norm": 0.361328125,
|
1488 |
+
"learning_rate": 0.00017554367326767792,
|
1489 |
+
"loss": 0.6645,
|
1490 |
+
"step": 2070
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 3.1137724550898205,
|
1494 |
+
"grad_norm": 0.251953125,
|
1495 |
+
"learning_rate": 0.00017531372999610384,
|
1496 |
+
"loss": 0.6631,
|
1497 |
+
"step": 2080
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 3.12874251497006,
|
1501 |
+
"grad_norm": 0.30078125,
|
1502 |
+
"learning_rate": 0.0001750828629019511,
|
1503 |
+
"loss": 0.6451,
|
1504 |
+
"step": 2090
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 3.143712574850299,
|
1508 |
+
"grad_norm": 0.365234375,
|
1509 |
+
"learning_rate": 0.00017485107481711012,
|
1510 |
+
"loss": 0.6703,
|
1511 |
+
"step": 2100
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 3.158682634730539,
|
1515 |
+
"grad_norm": 0.341796875,
|
1516 |
+
"learning_rate": 0.00017461836858476856,
|
1517 |
+
"loss": 0.6598,
|
1518 |
+
"step": 2110
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 3.1736526946107784,
|
1522 |
+
"grad_norm": 0.287109375,
|
1523 |
+
"learning_rate": 0.00017438474705937639,
|
1524 |
+
"loss": 0.6689,
|
1525 |
+
"step": 2120
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 3.1886227544910177,
|
1529 |
+
"grad_norm": 0.3125,
|
1530 |
+
"learning_rate": 0.0001741502131066107,
|
1531 |
+
"loss": 0.6741,
|
1532 |
+
"step": 2130
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 3.2035928143712575,
|
1536 |
+
"grad_norm": 0.31640625,
|
1537 |
+
"learning_rate": 0.000173914769603341,
|
1538 |
+
"loss": 0.6691,
|
1539 |
+
"step": 2140
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 3.218562874251497,
|
1543 |
+
"grad_norm": 0.322265625,
|
1544 |
+
"learning_rate": 0.00017367841943759338,
|
1545 |
+
"loss": 0.6702,
|
1546 |
+
"step": 2150
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 3.2335329341317367,
|
1550 |
+
"grad_norm": 0.265625,
|
1551 |
+
"learning_rate": 0.00017344116550851543,
|
1552 |
+
"loss": 0.6451,
|
1553 |
+
"step": 2160
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 3.248502994011976,
|
1557 |
+
"grad_norm": 0.328125,
|
1558 |
+
"learning_rate": 0.00017320301072634066,
|
1559 |
+
"loss": 0.6507,
|
1560 |
+
"step": 2170
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 3.2634730538922154,
|
1564 |
+
"grad_norm": 0.32421875,
|
1565 |
+
"learning_rate": 0.00017296395801235265,
|
1566 |
+
"loss": 0.695,
|
1567 |
+
"step": 2180
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 3.2784431137724552,
|
1571 |
+
"grad_norm": 0.31640625,
|
1572 |
+
"learning_rate": 0.00017272401029884933,
|
1573 |
+
"loss": 0.6798,
|
1574 |
+
"step": 2190
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 3.2934131736526946,
|
1578 |
+
"grad_norm": 0.330078125,
|
1579 |
+
"learning_rate": 0.000172483170529107,
|
1580 |
+
"loss": 0.6526,
|
1581 |
+
"step": 2200
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 3.308383233532934,
|
1585 |
+
"grad_norm": 0.35546875,
|
1586 |
+
"learning_rate": 0.00017224144165734417,
|
1587 |
+
"loss": 0.6538,
|
1588 |
+
"step": 2210
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 3.3233532934131738,
|
1592 |
+
"grad_norm": 0.291015625,
|
1593 |
+
"learning_rate": 0.00017199882664868538,
|
1594 |
+
"loss": 0.6777,
|
1595 |
+
"step": 2220
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 3.338323353293413,
|
1599 |
+
"grad_norm": 0.28515625,
|
1600 |
+
"learning_rate": 0.00017175532847912487,
|
1601 |
+
"loss": 0.6762,
|
1602 |
+
"step": 2230
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 3.3532934131736525,
|
1606 |
+
"grad_norm": 0.3203125,
|
1607 |
+
"learning_rate": 0.00017151095013548994,
|
1608 |
+
"loss": 0.673,
|
1609 |
+
"step": 2240
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 3.3682634730538923,
|
1613 |
+
"grad_norm": 0.318359375,
|
1614 |
+
"learning_rate": 0.00017126569461540443,
|
1615 |
+
"loss": 0.6757,
|
1616 |
+
"step": 2250
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 3.3832335329341316,
|
1620 |
+
"grad_norm": 0.3046875,
|
1621 |
+
"learning_rate": 0.00017101956492725185,
|
1622 |
+
"loss": 0.6563,
|
1623 |
+
"step": 2260
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 3.3982035928143715,
|
1627 |
+
"grad_norm": 0.267578125,
|
1628 |
+
"learning_rate": 0.00017077256409013866,
|
1629 |
+
"loss": 0.6877,
|
1630 |
+
"step": 2270
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 3.413173652694611,
|
1634 |
+
"grad_norm": 0.328125,
|
1635 |
+
"learning_rate": 0.000170524695133857,
|
1636 |
+
"loss": 0.67,
|
1637 |
+
"step": 2280
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 3.42814371257485,
|
1641 |
+
"grad_norm": 0.326171875,
|
1642 |
+
"learning_rate": 0.00017027596109884768,
|
1643 |
+
"loss": 0.6808,
|
1644 |
+
"step": 2290
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 3.44311377245509,
|
1648 |
+
"grad_norm": 0.318359375,
|
1649 |
+
"learning_rate": 0.00017002636503616282,
|
1650 |
+
"loss": 0.6941,
|
1651 |
+
"step": 2300
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 3.4580838323353293,
|
1655 |
+
"grad_norm": 0.279296875,
|
1656 |
+
"learning_rate": 0.00016977591000742854,
|
1657 |
+
"loss": 0.6798,
|
1658 |
+
"step": 2310
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 3.4730538922155687,
|
1662 |
+
"grad_norm": 0.287109375,
|
1663 |
+
"learning_rate": 0.0001695245990848072,
|
1664 |
+
"loss": 0.6718,
|
1665 |
+
"step": 2320
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 3.4880239520958085,
|
1669 |
+
"grad_norm": 0.30859375,
|
1670 |
+
"learning_rate": 0.00016927243535095997,
|
1671 |
+
"loss": 0.6483,
|
1672 |
+
"step": 2330
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 3.502994011976048,
|
1676 |
+
"grad_norm": 0.333984375,
|
1677 |
+
"learning_rate": 0.00016901942189900867,
|
1678 |
+
"loss": 0.7177,
|
1679 |
+
"step": 2340
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 3.5179640718562872,
|
1683 |
+
"grad_norm": 0.34765625,
|
1684 |
+
"learning_rate": 0.00016876556183249822,
|
1685 |
+
"loss": 0.6833,
|
1686 |
+
"step": 2350
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 3.532934131736527,
|
1690 |
+
"grad_norm": 0.365234375,
|
1691 |
+
"learning_rate": 0.00016851085826535838,
|
1692 |
+
"loss": 0.6826,
|
1693 |
+
"step": 2360
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 3.5479041916167664,
|
1697 |
+
"grad_norm": 0.396484375,
|
1698 |
+
"learning_rate": 0.00016825531432186543,
|
1699 |
+
"loss": 0.6835,
|
1700 |
+
"step": 2370
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 3.562874251497006,
|
1704 |
+
"grad_norm": 0.359375,
|
1705 |
+
"learning_rate": 0.00016799893313660408,
|
1706 |
+
"loss": 0.6791,
|
1707 |
+
"step": 2380
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 3.5778443113772456,
|
1711 |
+
"grad_norm": 0.291015625,
|
1712 |
+
"learning_rate": 0.0001677417178544289,
|
1713 |
+
"loss": 0.6787,
|
1714 |
+
"step": 2390
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 3.592814371257485,
|
1718 |
+
"grad_norm": 0.296875,
|
1719 |
+
"learning_rate": 0.00016748367163042576,
|
1720 |
+
"loss": 0.6542,
|
1721 |
+
"step": 2400
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 3.6077844311377243,
|
1725 |
+
"grad_norm": 0.30078125,
|
1726 |
+
"learning_rate": 0.00016722479762987317,
|
1727 |
+
"loss": 0.6805,
|
1728 |
+
"step": 2410
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 3.622754491017964,
|
1732 |
+
"grad_norm": 0.314453125,
|
1733 |
+
"learning_rate": 0.0001669650990282033,
|
1734 |
+
"loss": 0.6859,
|
1735 |
+
"step": 2420
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 3.6377245508982035,
|
1739 |
+
"grad_norm": 0.32421875,
|
1740 |
+
"learning_rate": 0.00016670457901096328,
|
1741 |
+
"loss": 0.6633,
|
1742 |
+
"step": 2430
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 3.6526946107784433,
|
1746 |
+
"grad_norm": 0.32421875,
|
1747 |
+
"learning_rate": 0.00016644324077377592,
|
1748 |
+
"loss": 0.6958,
|
1749 |
+
"step": 2440
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 3.6676646706586826,
|
1753 |
+
"grad_norm": 0.3125,
|
1754 |
+
"learning_rate": 0.00016618108752230052,
|
1755 |
+
"loss": 0.6965,
|
1756 |
+
"step": 2450
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 3.682634730538922,
|
1760 |
+
"grad_norm": 0.3046875,
|
1761 |
+
"learning_rate": 0.00016591812247219377,
|
1762 |
+
"loss": 0.6851,
|
1763 |
+
"step": 2460
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 3.697604790419162,
|
1767 |
+
"grad_norm": 0.400390625,
|
1768 |
+
"learning_rate": 0.00016565434884907002,
|
1769 |
+
"loss": 0.6669,
|
1770 |
+
"step": 2470
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 3.712574850299401,
|
1774 |
+
"grad_norm": 0.306640625,
|
1775 |
+
"learning_rate": 0.0001653897698884619,
|
1776 |
+
"loss": 0.6672,
|
1777 |
+
"step": 2480
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 3.727544910179641,
|
1781 |
+
"grad_norm": 0.30078125,
|
1782 |
+
"learning_rate": 0.00016512438883578044,
|
1783 |
+
"loss": 0.7049,
|
1784 |
+
"step": 2490
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 3.7425149700598803,
|
1788 |
+
"grad_norm": 0.30859375,
|
1789 |
+
"learning_rate": 0.0001648582089462756,
|
1790 |
+
"loss": 0.6821,
|
1791 |
+
"step": 2500
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 3.7425149700598803,
|
1795 |
+
"eval_loss": 0.5838193893432617,
|
1796 |
+
"eval_runtime": 109.8377,
|
1797 |
+
"eval_samples_per_second": 9.104,
|
1798 |
+
"eval_steps_per_second": 1.138,
|
1799 |
+
"step": 2500
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 3.7574850299401197,
|
1803 |
+
"grad_norm": 0.302734375,
|
1804 |
+
"learning_rate": 0.000164591233484996,
|
1805 |
+
"loss": 0.6775,
|
1806 |
+
"step": 2510
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 3.772455089820359,
|
1810 |
+
"grad_norm": 0.328125,
|
1811 |
+
"learning_rate": 0.00016432346572674896,
|
1812 |
+
"loss": 0.6718,
|
1813 |
+
"step": 2520
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 3.787425149700599,
|
1817 |
+
"grad_norm": 0.337890625,
|
1818 |
+
"learning_rate": 0.00016405490895606052,
|
1819 |
+
"loss": 0.6989,
|
1820 |
+
"step": 2530
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 3.802395209580838,
|
1824 |
+
"grad_norm": 0.2890625,
|
1825 |
+
"learning_rate": 0.00016378556646713484,
|
1826 |
+
"loss": 0.6681,
|
1827 |
+
"step": 2540
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 3.817365269461078,
|
1831 |
+
"grad_norm": 0.298828125,
|
1832 |
+
"learning_rate": 0.00016351544156381414,
|
1833 |
+
"loss": 0.6687,
|
1834 |
+
"step": 2550
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 3.8323353293413174,
|
1838 |
+
"grad_norm": 0.318359375,
|
1839 |
+
"learning_rate": 0.00016324453755953773,
|
1840 |
+
"loss": 0.6771,
|
1841 |
+
"step": 2560
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 3.8473053892215567,
|
1845 |
+
"grad_norm": 0.3359375,
|
1846 |
+
"learning_rate": 0.0001629728577773019,
|
1847 |
+
"loss": 0.668,
|
1848 |
+
"step": 2570
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 3.8622754491017965,
|
1852 |
+
"grad_norm": 0.345703125,
|
1853 |
+
"learning_rate": 0.00016270040554961868,
|
1854 |
+
"loss": 0.7025,
|
1855 |
+
"step": 2580
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 3.877245508982036,
|
1859 |
+
"grad_norm": 0.3046875,
|
1860 |
+
"learning_rate": 0.00016242718421847528,
|
1861 |
+
"loss": 0.6885,
|
1862 |
+
"step": 2590
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 3.8922155688622757,
|
1866 |
+
"grad_norm": 0.349609375,
|
1867 |
+
"learning_rate": 0.00016215319713529293,
|
1868 |
+
"loss": 0.6989,
|
1869 |
+
"step": 2600
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 3.907185628742515,
|
1873 |
+
"grad_norm": 0.314453125,
|
1874 |
+
"learning_rate": 0.00016187844766088586,
|
1875 |
+
"loss": 0.6555,
|
1876 |
+
"step": 2610
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 3.9221556886227544,
|
1880 |
+
"grad_norm": 0.349609375,
|
1881 |
+
"learning_rate": 0.00016160293916541997,
|
1882 |
+
"loss": 0.6777,
|
1883 |
+
"step": 2620
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 3.937125748502994,
|
1887 |
+
"grad_norm": 0.3046875,
|
1888 |
+
"learning_rate": 0.00016132667502837165,
|
1889 |
+
"loss": 0.6907,
|
1890 |
+
"step": 2630
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 3.9520958083832336,
|
1894 |
+
"grad_norm": 0.3515625,
|
1895 |
+
"learning_rate": 0.00016104965863848617,
|
1896 |
+
"loss": 0.6832,
|
1897 |
+
"step": 2640
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 3.967065868263473,
|
1901 |
+
"grad_norm": 0.3828125,
|
1902 |
+
"learning_rate": 0.00016077189339373614,
|
1903 |
+
"loss": 0.6816,
|
1904 |
+
"step": 2650
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 3.9820359281437128,
|
1908 |
+
"grad_norm": 0.287109375,
|
1909 |
+
"learning_rate": 0.00016049338270127998,
|
1910 |
+
"loss": 0.6616,
|
1911 |
+
"step": 2660
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 3.997005988023952,
|
1915 |
+
"grad_norm": 0.31640625,
|
1916 |
+
"learning_rate": 0.00016021412997741993,
|
1917 |
+
"loss": 0.6717,
|
1918 |
+
"step": 2670
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 4.0119760479041915,
|
1922 |
+
"grad_norm": 0.34375,
|
1923 |
+
"learning_rate": 0.0001599341386475603,
|
1924 |
+
"loss": 0.5491,
|
1925 |
+
"step": 2680
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 4.026946107784431,
|
1929 |
+
"grad_norm": 0.33984375,
|
1930 |
+
"learning_rate": 0.00015965341214616523,
|
1931 |
+
"loss": 0.539,
|
1932 |
+
"step": 2690
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 4.04191616766467,
|
1936 |
+
"grad_norm": 0.373046875,
|
1937 |
+
"learning_rate": 0.0001593719539167169,
|
1938 |
+
"loss": 0.5273,
|
1939 |
+
"step": 2700
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 4.0568862275449105,
|
1943 |
+
"grad_norm": 0.349609375,
|
1944 |
+
"learning_rate": 0.00015908976741167295,
|
1945 |
+
"loss": 0.5344,
|
1946 |
+
"step": 2710
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 4.07185628742515,
|
1950 |
+
"grad_norm": 0.275390625,
|
1951 |
+
"learning_rate": 0.00015880685609242438,
|
1952 |
+
"loss": 0.5228,
|
1953 |
+
"step": 2720
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 4.086826347305389,
|
1957 |
+
"grad_norm": 0.330078125,
|
1958 |
+
"learning_rate": 0.00015852322342925295,
|
1959 |
+
"loss": 0.4878,
|
1960 |
+
"step": 2730
|
1961 |
+
},
|
1962 |
+
{
|
1963 |
+
"epoch": 4.1017964071856285,
|
1964 |
+
"grad_norm": 0.361328125,
|
1965 |
+
"learning_rate": 0.00015823887290128868,
|
1966 |
+
"loss": 0.5228,
|
1967 |
+
"step": 2740
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 4.116766467065868,
|
1971 |
+
"grad_norm": 0.3984375,
|
1972 |
+
"learning_rate": 0.00015795380799646716,
|
1973 |
+
"loss": 0.5453,
|
1974 |
+
"step": 2750
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 4.131736526946108,
|
1978 |
+
"grad_norm": 0.326171875,
|
1979 |
+
"learning_rate": 0.00015766803221148673,
|
1980 |
+
"loss": 0.533,
|
1981 |
+
"step": 2760
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 4.1467065868263475,
|
1985 |
+
"grad_norm": 0.296875,
|
1986 |
+
"learning_rate": 0.00015738154905176562,
|
1987 |
+
"loss": 0.5336,
|
1988 |
+
"step": 2770
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 4.161676646706587,
|
1992 |
+
"grad_norm": 0.390625,
|
1993 |
+
"learning_rate": 0.00015709436203139893,
|
1994 |
+
"loss": 0.5573,
|
1995 |
+
"step": 2780
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 4.176646706586826,
|
1999 |
+
"grad_norm": 0.31640625,
|
2000 |
+
"learning_rate": 0.00015680647467311557,
|
2001 |
+
"loss": 0.5451,
|
2002 |
+
"step": 2790
|
2003 |
+
},
|
2004 |
+
{
|
2005 |
+
"epoch": 4.191616766467066,
|
2006 |
+
"grad_norm": 0.318359375,
|
2007 |
+
"learning_rate": 0.00015651789050823508,
|
2008 |
+
"loss": 0.5308,
|
2009 |
+
"step": 2800
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 4.206586826347305,
|
2013 |
+
"grad_norm": 0.375,
|
2014 |
+
"learning_rate": 0.00015622861307662414,
|
2015 |
+
"loss": 0.5224,
|
2016 |
+
"step": 2810
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 4.221556886227545,
|
2020 |
+
"grad_norm": 0.376953125,
|
2021 |
+
"learning_rate": 0.00015593864592665333,
|
2022 |
+
"loss": 0.555,
|
2023 |
+
"step": 2820
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 4.236526946107785,
|
2027 |
+
"grad_norm": 0.3125,
|
2028 |
+
"learning_rate": 0.00015564799261515356,
|
2029 |
+
"loss": 0.5702,
|
2030 |
+
"step": 2830
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 4.251497005988024,
|
2034 |
+
"grad_norm": 0.34375,
|
2035 |
+
"learning_rate": 0.0001553566567073723,
|
2036 |
+
"loss": 0.5246,
|
2037 |
+
"step": 2840
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 4.266467065868263,
|
2041 |
+
"grad_norm": 0.337890625,
|
2042 |
+
"learning_rate": 0.0001550646417769301,
|
2043 |
+
"loss": 0.5411,
|
2044 |
+
"step": 2850
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 4.281437125748503,
|
2048 |
+
"grad_norm": 0.474609375,
|
2049 |
+
"learning_rate": 0.00015477195140577662,
|
2050 |
+
"loss": 0.5637,
|
2051 |
+
"step": 2860
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 4.296407185628743,
|
2055 |
+
"grad_norm": 0.318359375,
|
2056 |
+
"learning_rate": 0.00015447858918414656,
|
2057 |
+
"loss": 0.5507,
|
2058 |
+
"step": 2870
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 4.311377245508982,
|
2062 |
+
"grad_norm": 0.341796875,
|
2063 |
+
"learning_rate": 0.00015418455871051592,
|
2064 |
+
"loss": 0.5451,
|
2065 |
+
"step": 2880
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 4.326347305389222,
|
2069 |
+
"grad_norm": 0.328125,
|
2070 |
+
"learning_rate": 0.00015388986359155758,
|
2071 |
+
"loss": 0.5485,
|
2072 |
+
"step": 2890
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 4.341317365269461,
|
2076 |
+
"grad_norm": 0.3203125,
|
2077 |
+
"learning_rate": 0.0001535945074420972,
|
2078 |
+
"loss": 0.5347,
|
2079 |
+
"step": 2900
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 4.3562874251497,
|
2083 |
+
"grad_norm": 0.3203125,
|
2084 |
+
"learning_rate": 0.00015329849388506886,
|
2085 |
+
"loss": 0.5242,
|
2086 |
+
"step": 2910
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 4.37125748502994,
|
2090 |
+
"grad_norm": 0.3359375,
|
2091 |
+
"learning_rate": 0.00015300182655147068,
|
2092 |
+
"loss": 0.5513,
|
2093 |
+
"step": 2920
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 4.38622754491018,
|
2097 |
+
"grad_norm": 0.345703125,
|
2098 |
+
"learning_rate": 0.00015270450908032012,
|
2099 |
+
"loss": 0.5713,
|
2100 |
+
"step": 2930
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 4.401197604790419,
|
2104 |
+
"grad_norm": 0.37109375,
|
2105 |
+
"learning_rate": 0.0001524065451186095,
|
2106 |
+
"loss": 0.5441,
|
2107 |
+
"step": 2940
|
2108 |
+
},
|
2109 |
+
{
|
2110 |
+
"epoch": 4.416167664670659,
|
2111 |
+
"grad_norm": 0.3984375,
|
2112 |
+
"learning_rate": 0.00015210793832126112,
|
2113 |
+
"loss": 0.548,
|
2114 |
+
"step": 2950
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 4.431137724550898,
|
2118 |
+
"grad_norm": 0.419921875,
|
2119 |
+
"learning_rate": 0.00015180869235108263,
|
2120 |
+
"loss": 0.5245,
|
2121 |
+
"step": 2960
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 4.446107784431137,
|
2125 |
+
"grad_norm": 0.341796875,
|
2126 |
+
"learning_rate": 0.00015150881087872185,
|
2127 |
+
"loss": 0.5238,
|
2128 |
+
"step": 2970
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 4.461077844311378,
|
2132 |
+
"grad_norm": 0.37109375,
|
2133 |
+
"learning_rate": 0.000151208297582622,
|
2134 |
+
"loss": 0.5681,
|
2135 |
+
"step": 2980
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 4.476047904191617,
|
2139 |
+
"grad_norm": 0.455078125,
|
2140 |
+
"learning_rate": 0.00015090715614897633,
|
2141 |
+
"loss": 0.5413,
|
2142 |
+
"step": 2990
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 4.491017964071856,
|
2146 |
+
"grad_norm": 0.361328125,
|
2147 |
+
"learning_rate": 0.00015060539027168316,
|
2148 |
+
"loss": 0.563,
|
2149 |
+
"step": 3000
|
2150 |
+
},
|
2151 |
+
{
|
2152 |
+
"epoch": 4.491017964071856,
|
2153 |
+
"eval_loss": 0.49006855487823486,
|
2154 |
+
"eval_runtime": 109.8413,
|
2155 |
+
"eval_samples_per_second": 9.104,
|
2156 |
+
"eval_steps_per_second": 1.138,
|
2157 |
+
"step": 3000
|
2158 |
+
}
|
2159 |
+
],
|
2160 |
+
"logging_steps": 10,
|
2161 |
+
"max_steps": 9000,
|
2162 |
+
"num_input_tokens_seen": 0,
|
2163 |
+
"num_train_epochs": 14,
|
2164 |
+
"save_steps": 500,
|
2165 |
+
"stateful_callbacks": {
|
2166 |
+
"TrainerControl": {
|
2167 |
+
"args": {
|
2168 |
+
"should_epoch_stop": false,
|
2169 |
+
"should_evaluate": false,
|
2170 |
+
"should_log": false,
|
2171 |
+
"should_save": true,
|
2172 |
+
"should_training_stop": false
|
2173 |
+
},
|
2174 |
+
"attributes": {}
|
2175 |
+
}
|
2176 |
+
},
|
2177 |
+
"total_flos": 2.0856796870606848e+17,
|
2178 |
+
"train_batch_size": 16,
|
2179 |
+
"trial_name": null,
|
2180 |
+
"trial_params": null
|
2181 |
+
}
|
checkpoint-3000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-3500/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-3500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|
checkpoint-3500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1d5eea19448e090a91fa5ea43f0d79c56a781afe864b7a227e38c8b8936b467
|
3 |
+
size 802337544
|
checkpoint-3500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1dd3b6b44333371c1d0e5b24eec6db7e92701c0082af10e811e0b982578dc15f
|
3 |
+
size 2407189434
|
checkpoint-3500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:268a65589b6324f2064569fb6037f45292809742fb53ca02cbf8e73f85c160a6
|
3 |
+
size 13990
|
checkpoint-3500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1eaeae1e6a0e5c875209bd9dbb27fd931b7036ff6fd03d97a0a34099962ef5f0
|
3 |
+
size 1000
|
checkpoint-3500/trainer_state.json
ADDED
@@ -0,0 +1,2539 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.4033271074295044,
|
3 |
+
"best_model_checkpoint": "./0.4b_finetuned_results/checkpoint-3500",
|
4 |
+
"epoch": 5.2395209580838324,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014970059880239521,
|
13 |
+
"grad_norm": 4.375,
|
14 |
+
"learning_rate": 6.666666666666667e-05,
|
15 |
+
"loss": 3.8882,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.029940119760479042,
|
20 |
+
"grad_norm": 6.0625,
|
21 |
+
"learning_rate": 0.00013333333333333334,
|
22 |
+
"loss": 3.2257,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04491017964071856,
|
27 |
+
"grad_norm": 6.28125,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.92,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.059880239520958084,
|
34 |
+
"grad_norm": 1.9765625,
|
35 |
+
"learning_rate": 0.00019999938668382333,
|
36 |
+
"loss": 2.3984,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0748502994011976,
|
41 |
+
"grad_norm": 1.484375,
|
42 |
+
"learning_rate": 0.00019999754674281632,
|
43 |
+
"loss": 2.1626,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08982035928143713,
|
48 |
+
"grad_norm": 3.375,
|
49 |
+
"learning_rate": 0.0001999944801995484,
|
50 |
+
"loss": 2.0388,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10479041916167664,
|
55 |
+
"grad_norm": 1.7890625,
|
56 |
+
"learning_rate": 0.0001999901870916347,
|
57 |
+
"loss": 2.0121,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11976047904191617,
|
62 |
+
"grad_norm": 1.609375,
|
63 |
+
"learning_rate": 0.00019998466747173592,
|
64 |
+
"loss": 1.8579,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1347305389221557,
|
69 |
+
"grad_norm": 0.81640625,
|
70 |
+
"learning_rate": 0.00019997792140755746,
|
71 |
+
"loss": 1.8254,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1497005988023952,
|
76 |
+
"grad_norm": 1.515625,
|
77 |
+
"learning_rate": 0.0001999699489818488,
|
78 |
+
"loss": 1.7037,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.16467065868263472,
|
83 |
+
"grad_norm": 0.94140625,
|
84 |
+
"learning_rate": 0.00019996075029240219,
|
85 |
+
"loss": 1.6647,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17964071856287425,
|
90 |
+
"grad_norm": 0.61328125,
|
91 |
+
"learning_rate": 0.0001999503254520518,
|
92 |
+
"loss": 1.5988,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19461077844311378,
|
97 |
+
"grad_norm": 0.337890625,
|
98 |
+
"learning_rate": 0.00019993867458867207,
|
99 |
+
"loss": 1.6197,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.20958083832335328,
|
104 |
+
"grad_norm": 0.47265625,
|
105 |
+
"learning_rate": 0.00019992579784517626,
|
106 |
+
"loss": 1.5954,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.2245508982035928,
|
111 |
+
"grad_norm": 0.33203125,
|
112 |
+
"learning_rate": 0.00019991169537951468,
|
113 |
+
"loss": 1.5666,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23952095808383234,
|
118 |
+
"grad_norm": 0.52734375,
|
119 |
+
"learning_rate": 0.00019989636736467278,
|
120 |
+
"loss": 1.5227,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.25449101796407186,
|
125 |
+
"grad_norm": 0.34375,
|
126 |
+
"learning_rate": 0.00019987981398866887,
|
127 |
+
"loss": 1.5048,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2694610778443114,
|
132 |
+
"grad_norm": 0.46875,
|
133 |
+
"learning_rate": 0.00019986203545455203,
|
134 |
+
"loss": 1.4755,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2844311377245509,
|
139 |
+
"grad_norm": 0.51953125,
|
140 |
+
"learning_rate": 0.0001998430319803996,
|
141 |
+
"loss": 1.4505,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2994011976047904,
|
146 |
+
"grad_norm": 0.38671875,
|
147 |
+
"learning_rate": 0.00019982280379931422,
|
148 |
+
"loss": 1.4295,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3143712574850299,
|
153 |
+
"grad_norm": 0.34765625,
|
154 |
+
"learning_rate": 0.00019980135115942136,
|
155 |
+
"loss": 1.4683,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.32934131736526945,
|
160 |
+
"grad_norm": 0.306640625,
|
161 |
+
"learning_rate": 0.00019977867432386604,
|
162 |
+
"loss": 1.4427,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.344311377245509,
|
167 |
+
"grad_norm": 0.357421875,
|
168 |
+
"learning_rate": 0.00019975477357080966,
|
169 |
+
"loss": 1.3852,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3592814371257485,
|
174 |
+
"grad_norm": 0.361328125,
|
175 |
+
"learning_rate": 0.00019972964919342663,
|
176 |
+
"loss": 1.427,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37425149700598803,
|
181 |
+
"grad_norm": 0.306640625,
|
182 |
+
"learning_rate": 0.00019970330149990062,
|
183 |
+
"loss": 1.3759,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.38922155688622756,
|
188 |
+
"grad_norm": 0.3515625,
|
189 |
+
"learning_rate": 0.00019967573081342103,
|
190 |
+
"loss": 1.3559,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4041916167664671,
|
195 |
+
"grad_norm": 0.28515625,
|
196 |
+
"learning_rate": 0.00019964693747217874,
|
197 |
+
"loss": 1.3715,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.41916167664670656,
|
202 |
+
"grad_norm": 0.30859375,
|
203 |
+
"learning_rate": 0.00019961692182936225,
|
204 |
+
"loss": 1.2932,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.4341317365269461,
|
209 |
+
"grad_norm": 0.306640625,
|
210 |
+
"learning_rate": 0.00019958568425315314,
|
211 |
+
"loss": 1.3086,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.4491017964071856,
|
216 |
+
"grad_norm": 0.291015625,
|
217 |
+
"learning_rate": 0.00019955322512672162,
|
218 |
+
"loss": 1.3091,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46407185628742514,
|
223 |
+
"grad_norm": 0.248046875,
|
224 |
+
"learning_rate": 0.00019951954484822182,
|
225 |
+
"loss": 1.3196,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.47904191616766467,
|
230 |
+
"grad_norm": 0.267578125,
|
231 |
+
"learning_rate": 0.00019948464383078696,
|
232 |
+
"loss": 1.2944,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4940119760479042,
|
237 |
+
"grad_norm": 0.375,
|
238 |
+
"learning_rate": 0.00019944852250252418,
|
239 |
+
"loss": 1.3461,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5089820359281437,
|
244 |
+
"grad_norm": 0.275390625,
|
245 |
+
"learning_rate": 0.00019941118130650942,
|
246 |
+
"loss": 1.3221,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5239520958083832,
|
251 |
+
"grad_norm": 0.23828125,
|
252 |
+
"learning_rate": 0.00019937262070078183,
|
253 |
+
"loss": 1.3111,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5389221556886228,
|
258 |
+
"grad_norm": 0.2578125,
|
259 |
+
"learning_rate": 0.0001993328411583383,
|
260 |
+
"loss": 1.3128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5538922155688623,
|
265 |
+
"grad_norm": 0.2578125,
|
266 |
+
"learning_rate": 0.00019929184316712758,
|
267 |
+
"loss": 1.2618,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5688622754491018,
|
272 |
+
"grad_norm": 0.29296875,
|
273 |
+
"learning_rate": 0.00019924962723004425,
|
274 |
+
"loss": 1.2893,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5838323353293413,
|
279 |
+
"grad_norm": 0.30859375,
|
280 |
+
"learning_rate": 0.0001992061938649227,
|
281 |
+
"loss": 1.2727,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5988023952095808,
|
286 |
+
"grad_norm": 0.3359375,
|
287 |
+
"learning_rate": 0.0001991615436045306,
|
288 |
+
"loss": 1.293,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6137724550898204,
|
293 |
+
"grad_norm": 0.314453125,
|
294 |
+
"learning_rate": 0.0001991156769965625,
|
295 |
+
"loss": 1.2692,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6287425149700598,
|
300 |
+
"grad_norm": 0.326171875,
|
301 |
+
"learning_rate": 0.00019906859460363307,
|
302 |
+
"loss": 1.2588,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6437125748502994,
|
307 |
+
"grad_norm": 0.26953125,
|
308 |
+
"learning_rate": 0.00019902029700327018,
|
309 |
+
"loss": 1.2576,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.6586826347305389,
|
314 |
+
"grad_norm": 0.2890625,
|
315 |
+
"learning_rate": 0.0001989707847879078,
|
316 |
+
"loss": 1.2595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6736526946107785,
|
321 |
+
"grad_norm": 0.337890625,
|
322 |
+
"learning_rate": 0.00019892005856487878,
|
323 |
+
"loss": 1.2331,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.688622754491018,
|
328 |
+
"grad_norm": 0.28515625,
|
329 |
+
"learning_rate": 0.0001988681189564074,
|
330 |
+
"loss": 1.2161,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7035928143712575,
|
335 |
+
"grad_norm": 0.25390625,
|
336 |
+
"learning_rate": 0.0001988149665996017,
|
337 |
+
"loss": 1.2675,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.718562874251497,
|
342 |
+
"grad_norm": 0.26953125,
|
343 |
+
"learning_rate": 0.00019876060214644566,
|
344 |
+
"loss": 1.269,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7335329341317365,
|
349 |
+
"grad_norm": 0.40625,
|
350 |
+
"learning_rate": 0.00019870502626379127,
|
351 |
+
"loss": 1.2342,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7485029940119761,
|
356 |
+
"grad_norm": 0.298828125,
|
357 |
+
"learning_rate": 0.00019864823963335033,
|
358 |
+
"loss": 1.2351,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7485029940119761,
|
363 |
+
"eval_loss": 1.1021808385849,
|
364 |
+
"eval_runtime": 109.4058,
|
365 |
+
"eval_samples_per_second": 9.14,
|
366 |
+
"eval_steps_per_second": 1.143,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.7634730538922155,
|
371 |
+
"grad_norm": 0.3671875,
|
372 |
+
"learning_rate": 0.00019859024295168593,
|
373 |
+
"loss": 1.2235,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.7784431137724551,
|
378 |
+
"grad_norm": 0.267578125,
|
379 |
+
"learning_rate": 0.0001985310369302042,
|
380 |
+
"loss": 1.2353,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.7934131736526946,
|
385 |
+
"grad_norm": 0.24609375,
|
386 |
+
"learning_rate": 0.00019847062229514533,
|
387 |
+
"loss": 1.2445,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.8083832335329342,
|
392 |
+
"grad_norm": 0.265625,
|
393 |
+
"learning_rate": 0.00019840899978757485,
|
394 |
+
"loss": 1.2687,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.8233532934131736,
|
399 |
+
"grad_norm": 0.2138671875,
|
400 |
+
"learning_rate": 0.0001983461701633742,
|
401 |
+
"loss": 1.2026,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.8383233532934131,
|
406 |
+
"grad_norm": 0.283203125,
|
407 |
+
"learning_rate": 0.00019828213419323208,
|
408 |
+
"loss": 1.2304,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.8532934131736527,
|
413 |
+
"grad_norm": 0.26953125,
|
414 |
+
"learning_rate": 0.00019821689266263427,
|
415 |
+
"loss": 1.1961,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.8682634730538922,
|
420 |
+
"grad_norm": 0.251953125,
|
421 |
+
"learning_rate": 0.00019815044637185456,
|
422 |
+
"loss": 1.158,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.8832335329341318,
|
427 |
+
"grad_norm": 0.251953125,
|
428 |
+
"learning_rate": 0.00019808279613594464,
|
429 |
+
"loss": 1.1804,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.8982035928143712,
|
434 |
+
"grad_norm": 0.25390625,
|
435 |
+
"learning_rate": 0.00019801394278472418,
|
436 |
+
"loss": 1.1705,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.9131736526946108,
|
441 |
+
"grad_norm": 0.259765625,
|
442 |
+
"learning_rate": 0.0001979438871627707,
|
443 |
+
"loss": 1.1816,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.9281437125748503,
|
448 |
+
"grad_norm": 0.3515625,
|
449 |
+
"learning_rate": 0.00019787263012940905,
|
450 |
+
"loss": 1.2516,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.9431137724550899,
|
455 |
+
"grad_norm": 0.2734375,
|
456 |
+
"learning_rate": 0.00019780017255870114,
|
457 |
+
"loss": 1.2214,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9580838323353293,
|
462 |
+
"grad_norm": 0.27734375,
|
463 |
+
"learning_rate": 0.00019772651533943493,
|
464 |
+
"loss": 1.1855,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.9730538922155688,
|
469 |
+
"grad_norm": 0.345703125,
|
470 |
+
"learning_rate": 0.0001976516593751137,
|
471 |
+
"loss": 1.1784,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.9880239520958084,
|
476 |
+
"grad_norm": 0.32421875,
|
477 |
+
"learning_rate": 0.00019757560558394493,
|
478 |
+
"loss": 1.194,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.0029940119760479,
|
483 |
+
"grad_norm": 0.283203125,
|
484 |
+
"learning_rate": 0.00019749835489882905,
|
485 |
+
"loss": 1.198,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.0179640718562875,
|
490 |
+
"grad_norm": 0.255859375,
|
491 |
+
"learning_rate": 0.00019741990826734794,
|
492 |
+
"loss": 1.0274,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.032934131736527,
|
497 |
+
"grad_norm": 0.30078125,
|
498 |
+
"learning_rate": 0.00019734026665175334,
|
499 |
+
"loss": 0.9878,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.0479041916167664,
|
504 |
+
"grad_norm": 0.32421875,
|
505 |
+
"learning_rate": 0.0001972594310289551,
|
506 |
+
"loss": 1.0292,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.062874251497006,
|
511 |
+
"grad_norm": 0.2890625,
|
512 |
+
"learning_rate": 0.00019717740239050914,
|
513 |
+
"loss": 1.0265,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.0778443113772456,
|
518 |
+
"grad_norm": 0.314453125,
|
519 |
+
"learning_rate": 0.0001970941817426052,
|
520 |
+
"loss": 0.9696,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.092814371257485,
|
525 |
+
"grad_norm": 0.4453125,
|
526 |
+
"learning_rate": 0.0001970097701060548,
|
527 |
+
"loss": 0.9735,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.1077844311377245,
|
532 |
+
"grad_norm": 0.33984375,
|
533 |
+
"learning_rate": 0.00019692416851627826,
|
534 |
+
"loss": 1.0029,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.122754491017964,
|
539 |
+
"grad_norm": 0.26171875,
|
540 |
+
"learning_rate": 0.00019683737802329244,
|
541 |
+
"loss": 1.0072,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.1377245508982037,
|
546 |
+
"grad_norm": 0.271484375,
|
547 |
+
"learning_rate": 0.0001967493996916976,
|
548 |
+
"loss": 1.0173,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.152694610778443,
|
553 |
+
"grad_norm": 0.267578125,
|
554 |
+
"learning_rate": 0.00019666023460066442,
|
555 |
+
"loss": 0.9945,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.1676646706586826,
|
560 |
+
"grad_norm": 0.287109375,
|
561 |
+
"learning_rate": 0.00019656988384392075,
|
562 |
+
"loss": 0.9927,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.1826347305389222,
|
567 |
+
"grad_norm": 0.283203125,
|
568 |
+
"learning_rate": 0.00019647834852973818,
|
569 |
+
"loss": 0.9995,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.1976047904191618,
|
574 |
+
"grad_norm": 0.29296875,
|
575 |
+
"learning_rate": 0.00019638562978091853,
|
576 |
+
"loss": 0.9957,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.2125748502994012,
|
581 |
+
"grad_norm": 0.2490234375,
|
582 |
+
"learning_rate": 0.00019629172873477995,
|
583 |
+
"loss": 0.9653,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.2275449101796407,
|
588 |
+
"grad_norm": 0.2451171875,
|
589 |
+
"learning_rate": 0.00019619664654314302,
|
590 |
+
"loss": 0.9714,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.2425149700598803,
|
595 |
+
"grad_norm": 0.302734375,
|
596 |
+
"learning_rate": 0.0001961003843723167,
|
597 |
+
"loss": 1.0226,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.2574850299401197,
|
602 |
+
"grad_norm": 0.283203125,
|
603 |
+
"learning_rate": 0.00019600294340308398,
|
604 |
+
"loss": 1.0417,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.2724550898203593,
|
609 |
+
"grad_norm": 0.287109375,
|
610 |
+
"learning_rate": 0.00019590432483068722,
|
611 |
+
"loss": 0.9593,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.2874251497005988,
|
616 |
+
"grad_norm": 0.27734375,
|
617 |
+
"learning_rate": 0.00019580452986481378,
|
618 |
+
"loss": 1.0255,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 1.3023952095808382,
|
623 |
+
"grad_norm": 0.341796875,
|
624 |
+
"learning_rate": 0.00019570355972958097,
|
625 |
+
"loss": 0.9971,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.3173652694610778,
|
630 |
+
"grad_norm": 0.322265625,
|
631 |
+
"learning_rate": 0.00019560141566352115,
|
632 |
+
"loss": 0.9914,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.3323353293413174,
|
637 |
+
"grad_norm": 0.2255859375,
|
638 |
+
"learning_rate": 0.0001954980989195665,
|
639 |
+
"loss": 0.9699,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.347305389221557,
|
644 |
+
"grad_norm": 0.25390625,
|
645 |
+
"learning_rate": 0.0001953936107650336,
|
646 |
+
"loss": 0.9667,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3622754491017965,
|
651 |
+
"grad_norm": 0.28515625,
|
652 |
+
"learning_rate": 0.00019528795248160795,
|
653 |
+
"loss": 0.9813,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.377245508982036,
|
658 |
+
"grad_norm": 0.23828125,
|
659 |
+
"learning_rate": 0.0001951811253653283,
|
660 |
+
"loss": 0.9861,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.3922155688622755,
|
665 |
+
"grad_norm": 0.26953125,
|
666 |
+
"learning_rate": 0.00019507313072657055,
|
667 |
+
"loss": 0.9772,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.407185628742515,
|
672 |
+
"grad_norm": 0.259765625,
|
673 |
+
"learning_rate": 0.00019496396989003193,
|
674 |
+
"loss": 1.0045,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.4221556886227544,
|
679 |
+
"grad_norm": 0.302734375,
|
680 |
+
"learning_rate": 0.00019485364419471454,
|
681 |
+
"loss": 0.9919,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.437125748502994,
|
686 |
+
"grad_norm": 0.279296875,
|
687 |
+
"learning_rate": 0.00019474215499390912,
|
688 |
+
"loss": 0.9796,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.4520958083832336,
|
693 |
+
"grad_norm": 0.26171875,
|
694 |
+
"learning_rate": 0.00019462950365517817,
|
695 |
+
"loss": 0.9821,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.467065868263473,
|
700 |
+
"grad_norm": 0.3203125,
|
701 |
+
"learning_rate": 0.00019451569156033954,
|
702 |
+
"loss": 1.0337,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.4820359281437125,
|
707 |
+
"grad_norm": 0.310546875,
|
708 |
+
"learning_rate": 0.00019440072010544918,
|
709 |
+
"loss": 0.9987,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4970059880239521,
|
714 |
+
"grad_norm": 0.27734375,
|
715 |
+
"learning_rate": 0.00019428459070078416,
|
716 |
+
"loss": 1.004,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.4970059880239521,
|
721 |
+
"eval_loss": 0.9072233438491821,
|
722 |
+
"eval_runtime": 109.5318,
|
723 |
+
"eval_samples_per_second": 9.13,
|
724 |
+
"eval_steps_per_second": 1.141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.5119760479041915,
|
729 |
+
"grad_norm": 0.2890625,
|
730 |
+
"learning_rate": 0.00019416730477082533,
|
731 |
+
"loss": 0.9444,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.5269461077844313,
|
736 |
+
"grad_norm": 0.296875,
|
737 |
+
"learning_rate": 0.00019404886375423984,
|
738 |
+
"loss": 0.9829,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.5419161676646707,
|
743 |
+
"grad_norm": 0.27734375,
|
744 |
+
"learning_rate": 0.00019392926910386353,
|
745 |
+
"loss": 0.9532,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.55688622754491,
|
750 |
+
"grad_norm": 0.265625,
|
751 |
+
"learning_rate": 0.00019380852228668304,
|
752 |
+
"loss": 0.9769,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.5718562874251498,
|
757 |
+
"grad_norm": 0.275390625,
|
758 |
+
"learning_rate": 0.00019368662478381799,
|
759 |
+
"loss": 0.9783,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.5868263473053892,
|
764 |
+
"grad_norm": 0.2890625,
|
765 |
+
"learning_rate": 0.00019356357809050247,
|
766 |
+
"loss": 0.9881,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.6017964071856288,
|
771 |
+
"grad_norm": 0.232421875,
|
772 |
+
"learning_rate": 0.00019343938371606712,
|
773 |
+
"loss": 0.9883,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.6167664670658684,
|
778 |
+
"grad_norm": 0.2734375,
|
779 |
+
"learning_rate": 0.00019331404318392027,
|
780 |
+
"loss": 0.9893,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.6317365269461077,
|
785 |
+
"grad_norm": 0.248046875,
|
786 |
+
"learning_rate": 0.00019318755803152945,
|
787 |
+
"loss": 0.9851,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.6467065868263473,
|
792 |
+
"grad_norm": 0.28515625,
|
793 |
+
"learning_rate": 0.00019305992981040246,
|
794 |
+
"loss": 0.9531,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.6616766467065869,
|
799 |
+
"grad_norm": 0.275390625,
|
800 |
+
"learning_rate": 0.00019293116008606837,
|
801 |
+
"loss": 0.9717,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.6766467065868262,
|
806 |
+
"grad_norm": 0.232421875,
|
807 |
+
"learning_rate": 0.00019280125043805824,
|
808 |
+
"loss": 0.9699,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.6916167664670658,
|
813 |
+
"grad_norm": 0.2294921875,
|
814 |
+
"learning_rate": 0.00019267020245988592,
|
815 |
+
"loss": 0.9407,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.7065868263473054,
|
820 |
+
"grad_norm": 0.251953125,
|
821 |
+
"learning_rate": 0.00019253801775902824,
|
822 |
+
"loss": 0.977,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.7215568862275448,
|
827 |
+
"grad_norm": 0.287109375,
|
828 |
+
"learning_rate": 0.0001924046979569055,
|
829 |
+
"loss": 0.9549,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.7365269461077846,
|
834 |
+
"grad_norm": 0.248046875,
|
835 |
+
"learning_rate": 0.00019227024468886157,
|
836 |
+
"loss": 0.9824,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.751497005988024,
|
841 |
+
"grad_norm": 0.259765625,
|
842 |
+
"learning_rate": 0.00019213465960414368,
|
843 |
+
"loss": 0.9936,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.7664670658682635,
|
848 |
+
"grad_norm": 0.29296875,
|
849 |
+
"learning_rate": 0.00019199794436588243,
|
850 |
+
"loss": 1.0042,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.781437125748503,
|
855 |
+
"grad_norm": 0.23828125,
|
856 |
+
"learning_rate": 0.0001918601006510711,
|
857 |
+
"loss": 0.9629,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.7964071856287425,
|
862 |
+
"grad_norm": 0.2890625,
|
863 |
+
"learning_rate": 0.00019172113015054532,
|
864 |
+
"loss": 0.9522,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.811377245508982,
|
869 |
+
"grad_norm": 0.26953125,
|
870 |
+
"learning_rate": 0.0001915810345689622,
|
871 |
+
"loss": 0.9806,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.8263473053892216,
|
876 |
+
"grad_norm": 0.263671875,
|
877 |
+
"learning_rate": 0.00019143981562477947,
|
878 |
+
"loss": 0.9736,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.841317365269461,
|
883 |
+
"grad_norm": 0.2578125,
|
884 |
+
"learning_rate": 0.00019129747505023436,
|
885 |
+
"loss": 0.9701,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.8562874251497006,
|
890 |
+
"grad_norm": 0.22265625,
|
891 |
+
"learning_rate": 0.00019115401459132247,
|
892 |
+
"loss": 0.9494,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.8712574850299402,
|
897 |
+
"grad_norm": 0.251953125,
|
898 |
+
"learning_rate": 0.00019100943600777615,
|
899 |
+
"loss": 0.9922,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.8862275449101795,
|
904 |
+
"grad_norm": 0.2490234375,
|
905 |
+
"learning_rate": 0.00019086374107304312,
|
906 |
+
"loss": 0.9711,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.9011976047904193,
|
911 |
+
"grad_norm": 0.25390625,
|
912 |
+
"learning_rate": 0.00019071693157426457,
|
913 |
+
"loss": 0.9664,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.9161676646706587,
|
918 |
+
"grad_norm": 0.26171875,
|
919 |
+
"learning_rate": 0.00019056900931225333,
|
920 |
+
"loss": 0.9591,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.931137724550898,
|
925 |
+
"grad_norm": 0.380859375,
|
926 |
+
"learning_rate": 0.00019041997610147167,
|
927 |
+
"loss": 0.9942,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.9461077844311379,
|
932 |
+
"grad_norm": 0.2294921875,
|
933 |
+
"learning_rate": 0.0001902698337700092,
|
934 |
+
"loss": 0.9391,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9610778443113772,
|
939 |
+
"grad_norm": 0.298828125,
|
940 |
+
"learning_rate": 0.00019011858415956038,
|
941 |
+
"loss": 0.9993,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.9760479041916168,
|
946 |
+
"grad_norm": 0.29296875,
|
947 |
+
"learning_rate": 0.0001899662291254018,
|
948 |
+
"loss": 0.9571,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.9910179640718564,
|
953 |
+
"grad_norm": 0.283203125,
|
954 |
+
"learning_rate": 0.0001898127705363696,
|
955 |
+
"loss": 0.9835,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.0059880239520957,
|
960 |
+
"grad_norm": 0.27734375,
|
961 |
+
"learning_rate": 0.00018965821027483654,
|
962 |
+
"loss": 0.9305,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.020958083832335,
|
967 |
+
"grad_norm": 0.26171875,
|
968 |
+
"learning_rate": 0.00018950255023668876,
|
969 |
+
"loss": 0.8295,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 2.035928143712575,
|
974 |
+
"grad_norm": 0.240234375,
|
975 |
+
"learning_rate": 0.00018934579233130267,
|
976 |
+
"loss": 0.7653,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 2.0508982035928143,
|
981 |
+
"grad_norm": 0.29296875,
|
982 |
+
"learning_rate": 0.00018918793848152142,
|
983 |
+
"loss": 0.7581,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.065868263473054,
|
988 |
+
"grad_norm": 0.29296875,
|
989 |
+
"learning_rate": 0.00018902899062363143,
|
990 |
+
"loss": 0.7983,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 2.0808383233532934,
|
995 |
+
"grad_norm": 0.279296875,
|
996 |
+
"learning_rate": 0.0001888689507073385,
|
997 |
+
"loss": 0.8187,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.095808383233533,
|
1002 |
+
"grad_norm": 0.29296875,
|
1003 |
+
"learning_rate": 0.0001887078206957441,
|
1004 |
+
"loss": 0.7879,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.1107784431137726,
|
1009 |
+
"grad_norm": 0.2734375,
|
1010 |
+
"learning_rate": 0.000188545602565321,
|
1011 |
+
"loss": 0.8083,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 2.125748502994012,
|
1016 |
+
"grad_norm": 0.263671875,
|
1017 |
+
"learning_rate": 0.00018838229830588934,
|
1018 |
+
"loss": 0.8057,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 2.1407185628742513,
|
1023 |
+
"grad_norm": 0.244140625,
|
1024 |
+
"learning_rate": 0.00018821790992059196,
|
1025 |
+
"loss": 0.8194,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.155688622754491,
|
1030 |
+
"grad_norm": 0.2451171875,
|
1031 |
+
"learning_rate": 0.00018805243942587,
|
1032 |
+
"loss": 0.7958,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.1706586826347305,
|
1037 |
+
"grad_norm": 0.248046875,
|
1038 |
+
"learning_rate": 0.00018788588885143808,
|
1039 |
+
"loss": 0.8169,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.18562874251497,
|
1044 |
+
"grad_norm": 0.265625,
|
1045 |
+
"learning_rate": 0.00018771826024025946,
|
1046 |
+
"loss": 0.7722,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.2005988023952097,
|
1051 |
+
"grad_norm": 0.265625,
|
1052 |
+
"learning_rate": 0.0001875495556485208,
|
1053 |
+
"loss": 0.7934,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.215568862275449,
|
1058 |
+
"grad_norm": 0.244140625,
|
1059 |
+
"learning_rate": 0.00018737977714560738,
|
1060 |
+
"loss": 0.7915,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.230538922155689,
|
1065 |
+
"grad_norm": 0.310546875,
|
1066 |
+
"learning_rate": 0.00018720892681407708,
|
1067 |
+
"loss": 0.8021,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.245508982035928,
|
1072 |
+
"grad_norm": 0.298828125,
|
1073 |
+
"learning_rate": 0.00018703700674963547,
|
1074 |
+
"loss": 0.7987,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.245508982035928,
|
1079 |
+
"eval_loss": 0.7798940539360046,
|
1080 |
+
"eval_runtime": 109.62,
|
1081 |
+
"eval_samples_per_second": 9.122,
|
1082 |
+
"eval_steps_per_second": 1.14,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 2.2604790419161676,
|
1087 |
+
"grad_norm": 0.259765625,
|
1088 |
+
"learning_rate": 0.00018686401906110964,
|
1089 |
+
"loss": 0.7979,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 2.2754491017964074,
|
1094 |
+
"grad_norm": 0.265625,
|
1095 |
+
"learning_rate": 0.00018668996587042252,
|
1096 |
+
"loss": 0.8255,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 2.2904191616766467,
|
1101 |
+
"grad_norm": 0.2470703125,
|
1102 |
+
"learning_rate": 0.00018651484931256685,
|
1103 |
+
"loss": 0.8252,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 2.305389221556886,
|
1108 |
+
"grad_norm": 0.25,
|
1109 |
+
"learning_rate": 0.00018633867153557905,
|
1110 |
+
"loss": 0.8455,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 2.320359281437126,
|
1115 |
+
"grad_norm": 0.302734375,
|
1116 |
+
"learning_rate": 0.00018616143470051263,
|
1117 |
+
"loss": 0.8118,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.3353293413173652,
|
1122 |
+
"grad_norm": 0.283203125,
|
1123 |
+
"learning_rate": 0.00018598314098141206,
|
1124 |
+
"loss": 0.8122,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 2.3502994011976046,
|
1129 |
+
"grad_norm": 0.24609375,
|
1130 |
+
"learning_rate": 0.00018580379256528576,
|
1131 |
+
"loss": 0.7965,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 2.3652694610778444,
|
1136 |
+
"grad_norm": 0.279296875,
|
1137 |
+
"learning_rate": 0.00018562339165207936,
|
1138 |
+
"loss": 0.8309,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 2.3802395209580838,
|
1143 |
+
"grad_norm": 0.31640625,
|
1144 |
+
"learning_rate": 0.00018544194045464886,
|
1145 |
+
"loss": 0.8046,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 2.3952095808383236,
|
1150 |
+
"grad_norm": 0.2734375,
|
1151 |
+
"learning_rate": 0.0001852594411987334,
|
1152 |
+
"loss": 0.8467,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 2.410179640718563,
|
1157 |
+
"grad_norm": 0.275390625,
|
1158 |
+
"learning_rate": 0.00018507589612292783,
|
1159 |
+
"loss": 0.8566,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.4251497005988023,
|
1164 |
+
"grad_norm": 0.30859375,
|
1165 |
+
"learning_rate": 0.00018489130747865548,
|
1166 |
+
"loss": 0.8297,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 2.440119760479042,
|
1171 |
+
"grad_norm": 0.359375,
|
1172 |
+
"learning_rate": 0.00018470567753014035,
|
1173 |
+
"loss": 0.7823,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.4550898203592815,
|
1178 |
+
"grad_norm": 0.29296875,
|
1179 |
+
"learning_rate": 0.0001845190085543795,
|
1180 |
+
"loss": 0.8558,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 2.470059880239521,
|
1185 |
+
"grad_norm": 0.3046875,
|
1186 |
+
"learning_rate": 0.0001843313028411149,
|
1187 |
+
"loss": 0.8262,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 2.4850299401197606,
|
1192 |
+
"grad_norm": 0.2578125,
|
1193 |
+
"learning_rate": 0.00018414256269280564,
|
1194 |
+
"loss": 0.7982,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 2.5,
|
1199 |
+
"grad_norm": 0.314453125,
|
1200 |
+
"learning_rate": 0.00018395279042459937,
|
1201 |
+
"loss": 0.8182,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.5149700598802394,
|
1206 |
+
"grad_norm": 0.328125,
|
1207 |
+
"learning_rate": 0.00018376198836430417,
|
1208 |
+
"loss": 0.8275,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 2.529940119760479,
|
1213 |
+
"grad_norm": 0.271484375,
|
1214 |
+
"learning_rate": 0.00018357015885235982,
|
1215 |
+
"loss": 0.8102,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 2.5449101796407185,
|
1220 |
+
"grad_norm": 0.3125,
|
1221 |
+
"learning_rate": 0.0001833773042418092,
|
1222 |
+
"loss": 0.8145,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 2.5598802395209583,
|
1227 |
+
"grad_norm": 1.40625,
|
1228 |
+
"learning_rate": 0.00018318342689826938,
|
1229 |
+
"loss": 0.8279,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.5748502994011977,
|
1234 |
+
"grad_norm": 0.275390625,
|
1235 |
+
"learning_rate": 0.00018298852919990252,
|
1236 |
+
"loss": 0.8354,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 2.589820359281437,
|
1241 |
+
"grad_norm": 0.3125,
|
1242 |
+
"learning_rate": 0.0001827926135373869,
|
1243 |
+
"loss": 0.8106,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.6047904191616764,
|
1248 |
+
"grad_norm": 0.267578125,
|
1249 |
+
"learning_rate": 0.00018259568231388738,
|
1250 |
+
"loss": 0.7983,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 2.6197604790419162,
|
1255 |
+
"grad_norm": 0.251953125,
|
1256 |
+
"learning_rate": 0.00018239773794502607,
|
1257 |
+
"loss": 0.8183,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.6347305389221556,
|
1262 |
+
"grad_norm": 0.294921875,
|
1263 |
+
"learning_rate": 0.00018219878285885267,
|
1264 |
+
"loss": 0.8462,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 2.6497005988023954,
|
1269 |
+
"grad_norm": 0.283203125,
|
1270 |
+
"learning_rate": 0.0001819988194958146,
|
1271 |
+
"loss": 0.8227,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 2.6646706586826348,
|
1276 |
+
"grad_norm": 0.2431640625,
|
1277 |
+
"learning_rate": 0.0001817978503087272,
|
1278 |
+
"loss": 0.8104,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 2.679640718562874,
|
1283 |
+
"grad_norm": 0.271484375,
|
1284 |
+
"learning_rate": 0.0001815958777627435,
|
1285 |
+
"loss": 0.7972,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.694610778443114,
|
1290 |
+
"grad_norm": 0.283203125,
|
1291 |
+
"learning_rate": 0.00018139290433532416,
|
1292 |
+
"loss": 0.8339,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 2.7095808383233533,
|
1297 |
+
"grad_norm": 0.298828125,
|
1298 |
+
"learning_rate": 0.00018118893251620682,
|
1299 |
+
"loss": 0.8723,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 2.724550898203593,
|
1304 |
+
"grad_norm": 0.3203125,
|
1305 |
+
"learning_rate": 0.00018098396480737585,
|
1306 |
+
"loss": 0.8544,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 2.7395209580838324,
|
1311 |
+
"grad_norm": 0.265625,
|
1312 |
+
"learning_rate": 0.0001807780037230315,
|
1313 |
+
"loss": 0.8557,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 2.754491017964072,
|
1318 |
+
"grad_norm": 0.279296875,
|
1319 |
+
"learning_rate": 0.00018057105178955905,
|
1320 |
+
"loss": 0.8283,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 2.769461077844311,
|
1325 |
+
"grad_norm": 0.3828125,
|
1326 |
+
"learning_rate": 0.00018036311154549784,
|
1327 |
+
"loss": 0.7906,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.784431137724551,
|
1332 |
+
"grad_norm": 0.2490234375,
|
1333 |
+
"learning_rate": 0.0001801541855415102,
|
1334 |
+
"loss": 0.8036,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 2.7994011976047903,
|
1339 |
+
"grad_norm": 0.298828125,
|
1340 |
+
"learning_rate": 0.00017994427634035015,
|
1341 |
+
"loss": 0.7828,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 2.81437125748503,
|
1346 |
+
"grad_norm": 0.306640625,
|
1347 |
+
"learning_rate": 0.00017973338651683176,
|
1348 |
+
"loss": 0.7915,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 2.8293413173652695,
|
1353 |
+
"grad_norm": 0.228515625,
|
1354 |
+
"learning_rate": 0.00017952151865779792,
|
1355 |
+
"loss": 0.8141,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 2.844311377245509,
|
1360 |
+
"grad_norm": 0.349609375,
|
1361 |
+
"learning_rate": 0.00017930867536208826,
|
1362 |
+
"loss": 0.8155,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 2.8592814371257482,
|
1367 |
+
"grad_norm": 0.310546875,
|
1368 |
+
"learning_rate": 0.00017909485924050758,
|
1369 |
+
"loss": 0.8004,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.874251497005988,
|
1374 |
+
"grad_norm": 0.2470703125,
|
1375 |
+
"learning_rate": 0.00017888007291579357,
|
1376 |
+
"loss": 0.803,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 2.8892215568862274,
|
1381 |
+
"grad_norm": 0.275390625,
|
1382 |
+
"learning_rate": 0.00017866431902258478,
|
1383 |
+
"loss": 0.804,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 2.904191616766467,
|
1388 |
+
"grad_norm": 0.310546875,
|
1389 |
+
"learning_rate": 0.00017844760020738827,
|
1390 |
+
"loss": 0.8154,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 2.9191616766467066,
|
1395 |
+
"grad_norm": 0.251953125,
|
1396 |
+
"learning_rate": 0.00017822991912854713,
|
1397 |
+
"loss": 0.8257,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 2.934131736526946,
|
1402 |
+
"grad_norm": 0.3125,
|
1403 |
+
"learning_rate": 0.00017801127845620793,
|
1404 |
+
"loss": 0.8386,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 2.9491017964071857,
|
1409 |
+
"grad_norm": 0.275390625,
|
1410 |
+
"learning_rate": 0.0001777916808722879,
|
1411 |
+
"loss": 0.8003,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.964071856287425,
|
1416 |
+
"grad_norm": 0.28515625,
|
1417 |
+
"learning_rate": 0.000177571129070442,
|
1418 |
+
"loss": 0.8055,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 2.979041916167665,
|
1423 |
+
"grad_norm": 0.271484375,
|
1424 |
+
"learning_rate": 0.00017734962575603,
|
1425 |
+
"loss": 0.8233,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 2.9940119760479043,
|
1430 |
+
"grad_norm": 0.255859375,
|
1431 |
+
"learning_rate": 0.00017712717364608328,
|
1432 |
+
"loss": 0.8106,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 2.9940119760479043,
|
1437 |
+
"eval_loss": 0.6911507844924927,
|
1438 |
+
"eval_runtime": 109.6711,
|
1439 |
+
"eval_samples_per_second": 9.118,
|
1440 |
+
"eval_steps_per_second": 1.14,
|
1441 |
+
"step": 2000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 3.0089820359281436,
|
1445 |
+
"grad_norm": 0.37890625,
|
1446 |
+
"learning_rate": 0.00017690377546927133,
|
1447 |
+
"loss": 0.7276,
|
1448 |
+
"step": 2010
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 3.0239520958083834,
|
1452 |
+
"grad_norm": 0.27734375,
|
1453 |
+
"learning_rate": 0.00017667943396586848,
|
1454 |
+
"loss": 0.6882,
|
1455 |
+
"step": 2020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.038922155688623,
|
1459 |
+
"grad_norm": 0.291015625,
|
1460 |
+
"learning_rate": 0.0001764541518877202,
|
1461 |
+
"loss": 0.6786,
|
1462 |
+
"step": 2030
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 3.053892215568862,
|
1466 |
+
"grad_norm": 0.31640625,
|
1467 |
+
"learning_rate": 0.00017622793199820934,
|
1468 |
+
"loss": 0.6352,
|
1469 |
+
"step": 2040
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 3.068862275449102,
|
1473 |
+
"grad_norm": 0.294921875,
|
1474 |
+
"learning_rate": 0.00017600077707222224,
|
1475 |
+
"loss": 0.6648,
|
1476 |
+
"step": 2050
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.0838323353293413,
|
1480 |
+
"grad_norm": 0.294921875,
|
1481 |
+
"learning_rate": 0.00017577268989611472,
|
1482 |
+
"loss": 0.6601,
|
1483 |
+
"step": 2060
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 3.0988023952095807,
|
1487 |
+
"grad_norm": 0.361328125,
|
1488 |
+
"learning_rate": 0.00017554367326767792,
|
1489 |
+
"loss": 0.6645,
|
1490 |
+
"step": 2070
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 3.1137724550898205,
|
1494 |
+
"grad_norm": 0.251953125,
|
1495 |
+
"learning_rate": 0.00017531372999610384,
|
1496 |
+
"loss": 0.6631,
|
1497 |
+
"step": 2080
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 3.12874251497006,
|
1501 |
+
"grad_norm": 0.30078125,
|
1502 |
+
"learning_rate": 0.0001750828629019511,
|
1503 |
+
"loss": 0.6451,
|
1504 |
+
"step": 2090
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 3.143712574850299,
|
1508 |
+
"grad_norm": 0.365234375,
|
1509 |
+
"learning_rate": 0.00017485107481711012,
|
1510 |
+
"loss": 0.6703,
|
1511 |
+
"step": 2100
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 3.158682634730539,
|
1515 |
+
"grad_norm": 0.341796875,
|
1516 |
+
"learning_rate": 0.00017461836858476856,
|
1517 |
+
"loss": 0.6598,
|
1518 |
+
"step": 2110
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 3.1736526946107784,
|
1522 |
+
"grad_norm": 0.287109375,
|
1523 |
+
"learning_rate": 0.00017438474705937639,
|
1524 |
+
"loss": 0.6689,
|
1525 |
+
"step": 2120
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 3.1886227544910177,
|
1529 |
+
"grad_norm": 0.3125,
|
1530 |
+
"learning_rate": 0.0001741502131066107,
|
1531 |
+
"loss": 0.6741,
|
1532 |
+
"step": 2130
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 3.2035928143712575,
|
1536 |
+
"grad_norm": 0.31640625,
|
1537 |
+
"learning_rate": 0.000173914769603341,
|
1538 |
+
"loss": 0.6691,
|
1539 |
+
"step": 2140
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 3.218562874251497,
|
1543 |
+
"grad_norm": 0.322265625,
|
1544 |
+
"learning_rate": 0.00017367841943759338,
|
1545 |
+
"loss": 0.6702,
|
1546 |
+
"step": 2150
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 3.2335329341317367,
|
1550 |
+
"grad_norm": 0.265625,
|
1551 |
+
"learning_rate": 0.00017344116550851543,
|
1552 |
+
"loss": 0.6451,
|
1553 |
+
"step": 2160
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 3.248502994011976,
|
1557 |
+
"grad_norm": 0.328125,
|
1558 |
+
"learning_rate": 0.00017320301072634066,
|
1559 |
+
"loss": 0.6507,
|
1560 |
+
"step": 2170
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 3.2634730538922154,
|
1564 |
+
"grad_norm": 0.32421875,
|
1565 |
+
"learning_rate": 0.00017296395801235265,
|
1566 |
+
"loss": 0.695,
|
1567 |
+
"step": 2180
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 3.2784431137724552,
|
1571 |
+
"grad_norm": 0.31640625,
|
1572 |
+
"learning_rate": 0.00017272401029884933,
|
1573 |
+
"loss": 0.6798,
|
1574 |
+
"step": 2190
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 3.2934131736526946,
|
1578 |
+
"grad_norm": 0.330078125,
|
1579 |
+
"learning_rate": 0.000172483170529107,
|
1580 |
+
"loss": 0.6526,
|
1581 |
+
"step": 2200
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 3.308383233532934,
|
1585 |
+
"grad_norm": 0.35546875,
|
1586 |
+
"learning_rate": 0.00017224144165734417,
|
1587 |
+
"loss": 0.6538,
|
1588 |
+
"step": 2210
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 3.3233532934131738,
|
1592 |
+
"grad_norm": 0.291015625,
|
1593 |
+
"learning_rate": 0.00017199882664868538,
|
1594 |
+
"loss": 0.6777,
|
1595 |
+
"step": 2220
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 3.338323353293413,
|
1599 |
+
"grad_norm": 0.28515625,
|
1600 |
+
"learning_rate": 0.00017175532847912487,
|
1601 |
+
"loss": 0.6762,
|
1602 |
+
"step": 2230
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 3.3532934131736525,
|
1606 |
+
"grad_norm": 0.3203125,
|
1607 |
+
"learning_rate": 0.00017151095013548994,
|
1608 |
+
"loss": 0.673,
|
1609 |
+
"step": 2240
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 3.3682634730538923,
|
1613 |
+
"grad_norm": 0.318359375,
|
1614 |
+
"learning_rate": 0.00017126569461540443,
|
1615 |
+
"loss": 0.6757,
|
1616 |
+
"step": 2250
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 3.3832335329341316,
|
1620 |
+
"grad_norm": 0.3046875,
|
1621 |
+
"learning_rate": 0.00017101956492725185,
|
1622 |
+
"loss": 0.6563,
|
1623 |
+
"step": 2260
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 3.3982035928143715,
|
1627 |
+
"grad_norm": 0.267578125,
|
1628 |
+
"learning_rate": 0.00017077256409013866,
|
1629 |
+
"loss": 0.6877,
|
1630 |
+
"step": 2270
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 3.413173652694611,
|
1634 |
+
"grad_norm": 0.328125,
|
1635 |
+
"learning_rate": 0.000170524695133857,
|
1636 |
+
"loss": 0.67,
|
1637 |
+
"step": 2280
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 3.42814371257485,
|
1641 |
+
"grad_norm": 0.326171875,
|
1642 |
+
"learning_rate": 0.00017027596109884768,
|
1643 |
+
"loss": 0.6808,
|
1644 |
+
"step": 2290
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 3.44311377245509,
|
1648 |
+
"grad_norm": 0.318359375,
|
1649 |
+
"learning_rate": 0.00017002636503616282,
|
1650 |
+
"loss": 0.6941,
|
1651 |
+
"step": 2300
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 3.4580838323353293,
|
1655 |
+
"grad_norm": 0.279296875,
|
1656 |
+
"learning_rate": 0.00016977591000742854,
|
1657 |
+
"loss": 0.6798,
|
1658 |
+
"step": 2310
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 3.4730538922155687,
|
1662 |
+
"grad_norm": 0.287109375,
|
1663 |
+
"learning_rate": 0.0001695245990848072,
|
1664 |
+
"loss": 0.6718,
|
1665 |
+
"step": 2320
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 3.4880239520958085,
|
1669 |
+
"grad_norm": 0.30859375,
|
1670 |
+
"learning_rate": 0.00016927243535095997,
|
1671 |
+
"loss": 0.6483,
|
1672 |
+
"step": 2330
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 3.502994011976048,
|
1676 |
+
"grad_norm": 0.333984375,
|
1677 |
+
"learning_rate": 0.00016901942189900867,
|
1678 |
+
"loss": 0.7177,
|
1679 |
+
"step": 2340
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 3.5179640718562872,
|
1683 |
+
"grad_norm": 0.34765625,
|
1684 |
+
"learning_rate": 0.00016876556183249822,
|
1685 |
+
"loss": 0.6833,
|
1686 |
+
"step": 2350
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 3.532934131736527,
|
1690 |
+
"grad_norm": 0.365234375,
|
1691 |
+
"learning_rate": 0.00016851085826535838,
|
1692 |
+
"loss": 0.6826,
|
1693 |
+
"step": 2360
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 3.5479041916167664,
|
1697 |
+
"grad_norm": 0.396484375,
|
1698 |
+
"learning_rate": 0.00016825531432186543,
|
1699 |
+
"loss": 0.6835,
|
1700 |
+
"step": 2370
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 3.562874251497006,
|
1704 |
+
"grad_norm": 0.359375,
|
1705 |
+
"learning_rate": 0.00016799893313660408,
|
1706 |
+
"loss": 0.6791,
|
1707 |
+
"step": 2380
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 3.5778443113772456,
|
1711 |
+
"grad_norm": 0.291015625,
|
1712 |
+
"learning_rate": 0.0001677417178544289,
|
1713 |
+
"loss": 0.6787,
|
1714 |
+
"step": 2390
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 3.592814371257485,
|
1718 |
+
"grad_norm": 0.296875,
|
1719 |
+
"learning_rate": 0.00016748367163042576,
|
1720 |
+
"loss": 0.6542,
|
1721 |
+
"step": 2400
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 3.6077844311377243,
|
1725 |
+
"grad_norm": 0.30078125,
|
1726 |
+
"learning_rate": 0.00016722479762987317,
|
1727 |
+
"loss": 0.6805,
|
1728 |
+
"step": 2410
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 3.622754491017964,
|
1732 |
+
"grad_norm": 0.314453125,
|
1733 |
+
"learning_rate": 0.0001669650990282033,
|
1734 |
+
"loss": 0.6859,
|
1735 |
+
"step": 2420
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 3.6377245508982035,
|
1739 |
+
"grad_norm": 0.32421875,
|
1740 |
+
"learning_rate": 0.00016670457901096328,
|
1741 |
+
"loss": 0.6633,
|
1742 |
+
"step": 2430
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 3.6526946107784433,
|
1746 |
+
"grad_norm": 0.32421875,
|
1747 |
+
"learning_rate": 0.00016644324077377592,
|
1748 |
+
"loss": 0.6958,
|
1749 |
+
"step": 2440
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 3.6676646706586826,
|
1753 |
+
"grad_norm": 0.3125,
|
1754 |
+
"learning_rate": 0.00016618108752230052,
|
1755 |
+
"loss": 0.6965,
|
1756 |
+
"step": 2450
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 3.682634730538922,
|
1760 |
+
"grad_norm": 0.3046875,
|
1761 |
+
"learning_rate": 0.00016591812247219377,
|
1762 |
+
"loss": 0.6851,
|
1763 |
+
"step": 2460
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 3.697604790419162,
|
1767 |
+
"grad_norm": 0.400390625,
|
1768 |
+
"learning_rate": 0.00016565434884907002,
|
1769 |
+
"loss": 0.6669,
|
1770 |
+
"step": 2470
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 3.712574850299401,
|
1774 |
+
"grad_norm": 0.306640625,
|
1775 |
+
"learning_rate": 0.0001653897698884619,
|
1776 |
+
"loss": 0.6672,
|
1777 |
+
"step": 2480
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 3.727544910179641,
|
1781 |
+
"grad_norm": 0.30078125,
|
1782 |
+
"learning_rate": 0.00016512438883578044,
|
1783 |
+
"loss": 0.7049,
|
1784 |
+
"step": 2490
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 3.7425149700598803,
|
1788 |
+
"grad_norm": 0.30859375,
|
1789 |
+
"learning_rate": 0.0001648582089462756,
|
1790 |
+
"loss": 0.6821,
|
1791 |
+
"step": 2500
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 3.7425149700598803,
|
1795 |
+
"eval_loss": 0.5838193893432617,
|
1796 |
+
"eval_runtime": 109.8377,
|
1797 |
+
"eval_samples_per_second": 9.104,
|
1798 |
+
"eval_steps_per_second": 1.138,
|
1799 |
+
"step": 2500
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 3.7574850299401197,
|
1803 |
+
"grad_norm": 0.302734375,
|
1804 |
+
"learning_rate": 0.000164591233484996,
|
1805 |
+
"loss": 0.6775,
|
1806 |
+
"step": 2510
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 3.772455089820359,
|
1810 |
+
"grad_norm": 0.328125,
|
1811 |
+
"learning_rate": 0.00016432346572674896,
|
1812 |
+
"loss": 0.6718,
|
1813 |
+
"step": 2520
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 3.787425149700599,
|
1817 |
+
"grad_norm": 0.337890625,
|
1818 |
+
"learning_rate": 0.00016405490895606052,
|
1819 |
+
"loss": 0.6989,
|
1820 |
+
"step": 2530
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 3.802395209580838,
|
1824 |
+
"grad_norm": 0.2890625,
|
1825 |
+
"learning_rate": 0.00016378556646713484,
|
1826 |
+
"loss": 0.6681,
|
1827 |
+
"step": 2540
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 3.817365269461078,
|
1831 |
+
"grad_norm": 0.298828125,
|
1832 |
+
"learning_rate": 0.00016351544156381414,
|
1833 |
+
"loss": 0.6687,
|
1834 |
+
"step": 2550
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 3.8323353293413174,
|
1838 |
+
"grad_norm": 0.318359375,
|
1839 |
+
"learning_rate": 0.00016324453755953773,
|
1840 |
+
"loss": 0.6771,
|
1841 |
+
"step": 2560
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 3.8473053892215567,
|
1845 |
+
"grad_norm": 0.3359375,
|
1846 |
+
"learning_rate": 0.0001629728577773019,
|
1847 |
+
"loss": 0.668,
|
1848 |
+
"step": 2570
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 3.8622754491017965,
|
1852 |
+
"grad_norm": 0.345703125,
|
1853 |
+
"learning_rate": 0.00016270040554961868,
|
1854 |
+
"loss": 0.7025,
|
1855 |
+
"step": 2580
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 3.877245508982036,
|
1859 |
+
"grad_norm": 0.3046875,
|
1860 |
+
"learning_rate": 0.00016242718421847528,
|
1861 |
+
"loss": 0.6885,
|
1862 |
+
"step": 2590
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 3.8922155688622757,
|
1866 |
+
"grad_norm": 0.349609375,
|
1867 |
+
"learning_rate": 0.00016215319713529293,
|
1868 |
+
"loss": 0.6989,
|
1869 |
+
"step": 2600
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 3.907185628742515,
|
1873 |
+
"grad_norm": 0.314453125,
|
1874 |
+
"learning_rate": 0.00016187844766088586,
|
1875 |
+
"loss": 0.6555,
|
1876 |
+
"step": 2610
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 3.9221556886227544,
|
1880 |
+
"grad_norm": 0.349609375,
|
1881 |
+
"learning_rate": 0.00016160293916541997,
|
1882 |
+
"loss": 0.6777,
|
1883 |
+
"step": 2620
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 3.937125748502994,
|
1887 |
+
"grad_norm": 0.3046875,
|
1888 |
+
"learning_rate": 0.00016132667502837165,
|
1889 |
+
"loss": 0.6907,
|
1890 |
+
"step": 2630
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 3.9520958083832336,
|
1894 |
+
"grad_norm": 0.3515625,
|
1895 |
+
"learning_rate": 0.00016104965863848617,
|
1896 |
+
"loss": 0.6832,
|
1897 |
+
"step": 2640
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 3.967065868263473,
|
1901 |
+
"grad_norm": 0.3828125,
|
1902 |
+
"learning_rate": 0.00016077189339373614,
|
1903 |
+
"loss": 0.6816,
|
1904 |
+
"step": 2650
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 3.9820359281437128,
|
1908 |
+
"grad_norm": 0.287109375,
|
1909 |
+
"learning_rate": 0.00016049338270127998,
|
1910 |
+
"loss": 0.6616,
|
1911 |
+
"step": 2660
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 3.997005988023952,
|
1915 |
+
"grad_norm": 0.31640625,
|
1916 |
+
"learning_rate": 0.00016021412997741993,
|
1917 |
+
"loss": 0.6717,
|
1918 |
+
"step": 2670
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 4.0119760479041915,
|
1922 |
+
"grad_norm": 0.34375,
|
1923 |
+
"learning_rate": 0.0001599341386475603,
|
1924 |
+
"loss": 0.5491,
|
1925 |
+
"step": 2680
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 4.026946107784431,
|
1929 |
+
"grad_norm": 0.33984375,
|
1930 |
+
"learning_rate": 0.00015965341214616523,
|
1931 |
+
"loss": 0.539,
|
1932 |
+
"step": 2690
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 4.04191616766467,
|
1936 |
+
"grad_norm": 0.373046875,
|
1937 |
+
"learning_rate": 0.0001593719539167169,
|
1938 |
+
"loss": 0.5273,
|
1939 |
+
"step": 2700
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 4.0568862275449105,
|
1943 |
+
"grad_norm": 0.349609375,
|
1944 |
+
"learning_rate": 0.00015908976741167295,
|
1945 |
+
"loss": 0.5344,
|
1946 |
+
"step": 2710
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 4.07185628742515,
|
1950 |
+
"grad_norm": 0.275390625,
|
1951 |
+
"learning_rate": 0.00015880685609242438,
|
1952 |
+
"loss": 0.5228,
|
1953 |
+
"step": 2720
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 4.086826347305389,
|
1957 |
+
"grad_norm": 0.330078125,
|
1958 |
+
"learning_rate": 0.00015852322342925295,
|
1959 |
+
"loss": 0.4878,
|
1960 |
+
"step": 2730
|
1961 |
+
},
|
1962 |
+
{
|
1963 |
+
"epoch": 4.1017964071856285,
|
1964 |
+
"grad_norm": 0.361328125,
|
1965 |
+
"learning_rate": 0.00015823887290128868,
|
1966 |
+
"loss": 0.5228,
|
1967 |
+
"step": 2740
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 4.116766467065868,
|
1971 |
+
"grad_norm": 0.3984375,
|
1972 |
+
"learning_rate": 0.00015795380799646716,
|
1973 |
+
"loss": 0.5453,
|
1974 |
+
"step": 2750
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 4.131736526946108,
|
1978 |
+
"grad_norm": 0.326171875,
|
1979 |
+
"learning_rate": 0.00015766803221148673,
|
1980 |
+
"loss": 0.533,
|
1981 |
+
"step": 2760
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 4.1467065868263475,
|
1985 |
+
"grad_norm": 0.296875,
|
1986 |
+
"learning_rate": 0.00015738154905176562,
|
1987 |
+
"loss": 0.5336,
|
1988 |
+
"step": 2770
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 4.161676646706587,
|
1992 |
+
"grad_norm": 0.390625,
|
1993 |
+
"learning_rate": 0.00015709436203139893,
|
1994 |
+
"loss": 0.5573,
|
1995 |
+
"step": 2780
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 4.176646706586826,
|
1999 |
+
"grad_norm": 0.31640625,
|
2000 |
+
"learning_rate": 0.00015680647467311557,
|
2001 |
+
"loss": 0.5451,
|
2002 |
+
"step": 2790
|
2003 |
+
},
|
2004 |
+
{
|
2005 |
+
"epoch": 4.191616766467066,
|
2006 |
+
"grad_norm": 0.318359375,
|
2007 |
+
"learning_rate": 0.00015651789050823508,
|
2008 |
+
"loss": 0.5308,
|
2009 |
+
"step": 2800
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 4.206586826347305,
|
2013 |
+
"grad_norm": 0.375,
|
2014 |
+
"learning_rate": 0.00015622861307662414,
|
2015 |
+
"loss": 0.5224,
|
2016 |
+
"step": 2810
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 4.221556886227545,
|
2020 |
+
"grad_norm": 0.376953125,
|
2021 |
+
"learning_rate": 0.00015593864592665333,
|
2022 |
+
"loss": 0.555,
|
2023 |
+
"step": 2820
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 4.236526946107785,
|
2027 |
+
"grad_norm": 0.3125,
|
2028 |
+
"learning_rate": 0.00015564799261515356,
|
2029 |
+
"loss": 0.5702,
|
2030 |
+
"step": 2830
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 4.251497005988024,
|
2034 |
+
"grad_norm": 0.34375,
|
2035 |
+
"learning_rate": 0.0001553566567073723,
|
2036 |
+
"loss": 0.5246,
|
2037 |
+
"step": 2840
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 4.266467065868263,
|
2041 |
+
"grad_norm": 0.337890625,
|
2042 |
+
"learning_rate": 0.0001550646417769301,
|
2043 |
+
"loss": 0.5411,
|
2044 |
+
"step": 2850
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 4.281437125748503,
|
2048 |
+
"grad_norm": 0.474609375,
|
2049 |
+
"learning_rate": 0.00015477195140577662,
|
2050 |
+
"loss": 0.5637,
|
2051 |
+
"step": 2860
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 4.296407185628743,
|
2055 |
+
"grad_norm": 0.318359375,
|
2056 |
+
"learning_rate": 0.00015447858918414656,
|
2057 |
+
"loss": 0.5507,
|
2058 |
+
"step": 2870
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 4.311377245508982,
|
2062 |
+
"grad_norm": 0.341796875,
|
2063 |
+
"learning_rate": 0.00015418455871051592,
|
2064 |
+
"loss": 0.5451,
|
2065 |
+
"step": 2880
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 4.326347305389222,
|
2069 |
+
"grad_norm": 0.328125,
|
2070 |
+
"learning_rate": 0.00015388986359155758,
|
2071 |
+
"loss": 0.5485,
|
2072 |
+
"step": 2890
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 4.341317365269461,
|
2076 |
+
"grad_norm": 0.3203125,
|
2077 |
+
"learning_rate": 0.0001535945074420972,
|
2078 |
+
"loss": 0.5347,
|
2079 |
+
"step": 2900
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 4.3562874251497,
|
2083 |
+
"grad_norm": 0.3203125,
|
2084 |
+
"learning_rate": 0.00015329849388506886,
|
2085 |
+
"loss": 0.5242,
|
2086 |
+
"step": 2910
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 4.37125748502994,
|
2090 |
+
"grad_norm": 0.3359375,
|
2091 |
+
"learning_rate": 0.00015300182655147068,
|
2092 |
+
"loss": 0.5513,
|
2093 |
+
"step": 2920
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 4.38622754491018,
|
2097 |
+
"grad_norm": 0.345703125,
|
2098 |
+
"learning_rate": 0.00015270450908032012,
|
2099 |
+
"loss": 0.5713,
|
2100 |
+
"step": 2930
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 4.401197604790419,
|
2104 |
+
"grad_norm": 0.37109375,
|
2105 |
+
"learning_rate": 0.0001524065451186095,
|
2106 |
+
"loss": 0.5441,
|
2107 |
+
"step": 2940
|
2108 |
+
},
|
2109 |
+
{
|
2110 |
+
"epoch": 4.416167664670659,
|
2111 |
+
"grad_norm": 0.3984375,
|
2112 |
+
"learning_rate": 0.00015210793832126112,
|
2113 |
+
"loss": 0.548,
|
2114 |
+
"step": 2950
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 4.431137724550898,
|
2118 |
+
"grad_norm": 0.419921875,
|
2119 |
+
"learning_rate": 0.00015180869235108263,
|
2120 |
+
"loss": 0.5245,
|
2121 |
+
"step": 2960
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 4.446107784431137,
|
2125 |
+
"grad_norm": 0.341796875,
|
2126 |
+
"learning_rate": 0.00015150881087872185,
|
2127 |
+
"loss": 0.5238,
|
2128 |
+
"step": 2970
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 4.461077844311378,
|
2132 |
+
"grad_norm": 0.37109375,
|
2133 |
+
"learning_rate": 0.000151208297582622,
|
2134 |
+
"loss": 0.5681,
|
2135 |
+
"step": 2980
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 4.476047904191617,
|
2139 |
+
"grad_norm": 0.455078125,
|
2140 |
+
"learning_rate": 0.00015090715614897633,
|
2141 |
+
"loss": 0.5413,
|
2142 |
+
"step": 2990
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 4.491017964071856,
|
2146 |
+
"grad_norm": 0.361328125,
|
2147 |
+
"learning_rate": 0.00015060539027168316,
|
2148 |
+
"loss": 0.563,
|
2149 |
+
"step": 3000
|
2150 |
+
},
|
2151 |
+
{
|
2152 |
+
"epoch": 4.491017964071856,
|
2153 |
+
"eval_loss": 0.49006855487823486,
|
2154 |
+
"eval_runtime": 109.8413,
|
2155 |
+
"eval_samples_per_second": 9.104,
|
2156 |
+
"eval_steps_per_second": 1.138,
|
2157 |
+
"step": 3000
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 4.505988023952096,
|
2161 |
+
"grad_norm": 0.3515625,
|
2162 |
+
"learning_rate": 0.00015030300365230037,
|
2163 |
+
"loss": 0.5549,
|
2164 |
+
"step": 3010
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 4.520958083832335,
|
2168 |
+
"grad_norm": 0.36328125,
|
2169 |
+
"learning_rate": 0.00015000000000000001,
|
2170 |
+
"loss": 0.5628,
|
2171 |
+
"step": 3020
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 4.5359281437125745,
|
2175 |
+
"grad_norm": 0.390625,
|
2176 |
+
"learning_rate": 0.00014969638303152295,
|
2177 |
+
"loss": 0.5382,
|
2178 |
+
"step": 3030
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 4.550898203592815,
|
2182 |
+
"grad_norm": 0.39453125,
|
2183 |
+
"learning_rate": 0.00014939215647113318,
|
2184 |
+
"loss": 0.5595,
|
2185 |
+
"step": 3040
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 4.565868263473054,
|
2189 |
+
"grad_norm": 0.318359375,
|
2190 |
+
"learning_rate": 0.00014908732405057208,
|
2191 |
+
"loss": 0.5244,
|
2192 |
+
"step": 3050
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 4.580838323353293,
|
2196 |
+
"grad_norm": 0.353515625,
|
2197 |
+
"learning_rate": 0.00014878188950901276,
|
2198 |
+
"loss": 0.5385,
|
2199 |
+
"step": 3060
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 4.595808383233533,
|
2203 |
+
"grad_norm": 0.400390625,
|
2204 |
+
"learning_rate": 0.0001484758565930141,
|
2205 |
+
"loss": 0.5468,
|
2206 |
+
"step": 3070
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 4.610778443113772,
|
2210 |
+
"grad_norm": 0.36328125,
|
2211 |
+
"learning_rate": 0.00014816922905647485,
|
2212 |
+
"loss": 0.5334,
|
2213 |
+
"step": 3080
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 4.625748502994012,
|
2217 |
+
"grad_norm": 0.380859375,
|
2218 |
+
"learning_rate": 0.00014786201066058766,
|
2219 |
+
"loss": 0.5373,
|
2220 |
+
"step": 3090
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 4.640718562874252,
|
2224 |
+
"grad_norm": 0.328125,
|
2225 |
+
"learning_rate": 0.0001475542051737927,
|
2226 |
+
"loss": 0.572,
|
2227 |
+
"step": 3100
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 4.655688622754491,
|
2231 |
+
"grad_norm": 0.421875,
|
2232 |
+
"learning_rate": 0.00014724581637173164,
|
2233 |
+
"loss": 0.5445,
|
2234 |
+
"step": 3110
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 4.6706586826347305,
|
2238 |
+
"grad_norm": 0.380859375,
|
2239 |
+
"learning_rate": 0.00014693684803720138,
|
2240 |
+
"loss": 0.541,
|
2241 |
+
"step": 3120
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 4.68562874251497,
|
2245 |
+
"grad_norm": 0.34765625,
|
2246 |
+
"learning_rate": 0.0001466273039601074,
|
2247 |
+
"loss": 0.5388,
|
2248 |
+
"step": 3130
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 4.700598802395209,
|
2252 |
+
"grad_norm": 0.416015625,
|
2253 |
+
"learning_rate": 0.00014631718793741753,
|
2254 |
+
"loss": 0.5485,
|
2255 |
+
"step": 3140
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 4.7155688622754495,
|
2259 |
+
"grad_norm": 0.302734375,
|
2260 |
+
"learning_rate": 0.00014600650377311522,
|
2261 |
+
"loss": 0.5594,
|
2262 |
+
"step": 3150
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 4.730538922155689,
|
2266 |
+
"grad_norm": 0.46484375,
|
2267 |
+
"learning_rate": 0.00014569525527815297,
|
2268 |
+
"loss": 0.5648,
|
2269 |
+
"step": 3160
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 4.745508982035928,
|
2273 |
+
"grad_norm": 0.32421875,
|
2274 |
+
"learning_rate": 0.0001453834462704055,
|
2275 |
+
"loss": 0.5642,
|
2276 |
+
"step": 3170
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 4.7604790419161676,
|
2280 |
+
"grad_norm": 0.37109375,
|
2281 |
+
"learning_rate": 0.00014507108057462296,
|
2282 |
+
"loss": 0.5443,
|
2283 |
+
"step": 3180
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 4.775449101796407,
|
2287 |
+
"grad_norm": 0.3671875,
|
2288 |
+
"learning_rate": 0.00014475816202238413,
|
2289 |
+
"loss": 0.5249,
|
2290 |
+
"step": 3190
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 4.790419161676647,
|
2294 |
+
"grad_norm": 0.390625,
|
2295 |
+
"learning_rate": 0.00014444469445204906,
|
2296 |
+
"loss": 0.5496,
|
2297 |
+
"step": 3200
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 4.8053892215568865,
|
2301 |
+
"grad_norm": 0.357421875,
|
2302 |
+
"learning_rate": 0.0001441306817087125,
|
2303 |
+
"loss": 0.5723,
|
2304 |
+
"step": 3210
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 4.820359281437126,
|
2308 |
+
"grad_norm": 0.3359375,
|
2309 |
+
"learning_rate": 0.00014381612764415635,
|
2310 |
+
"loss": 0.5551,
|
2311 |
+
"step": 3220
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 4.835329341317365,
|
2315 |
+
"grad_norm": 0.345703125,
|
2316 |
+
"learning_rate": 0.00014350103611680248,
|
2317 |
+
"loss": 0.5748,
|
2318 |
+
"step": 3230
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 4.850299401197605,
|
2322 |
+
"grad_norm": 0.34375,
|
2323 |
+
"learning_rate": 0.00014318541099166555,
|
2324 |
+
"loss": 0.5515,
|
2325 |
+
"step": 3240
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 4.865269461077844,
|
2329 |
+
"grad_norm": 0.3984375,
|
2330 |
+
"learning_rate": 0.00014286925614030542,
|
2331 |
+
"loss": 0.5261,
|
2332 |
+
"step": 3250
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 4.880239520958084,
|
2336 |
+
"grad_norm": 0.310546875,
|
2337 |
+
"learning_rate": 0.0001425525754407798,
|
2338 |
+
"loss": 0.5381,
|
2339 |
+
"step": 3260
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 4.895209580838324,
|
2343 |
+
"grad_norm": 0.333984375,
|
2344 |
+
"learning_rate": 0.00014223537277759666,
|
2345 |
+
"loss": 0.5496,
|
2346 |
+
"step": 3270
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 4.910179640718563,
|
2350 |
+
"grad_norm": 0.451171875,
|
2351 |
+
"learning_rate": 0.00014191765204166643,
|
2352 |
+
"loss": 0.5407,
|
2353 |
+
"step": 3280
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 4.925149700598802,
|
2357 |
+
"grad_norm": 0.3671875,
|
2358 |
+
"learning_rate": 0.00014159941713025447,
|
2359 |
+
"loss": 0.5703,
|
2360 |
+
"step": 3290
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 4.940119760479042,
|
2364 |
+
"grad_norm": 0.349609375,
|
2365 |
+
"learning_rate": 0.00014128067194693316,
|
2366 |
+
"loss": 0.5523,
|
2367 |
+
"step": 3300
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 4.955089820359282,
|
2371 |
+
"grad_norm": 0.361328125,
|
2372 |
+
"learning_rate": 0.000140961420401534,
|
2373 |
+
"loss": 0.5366,
|
2374 |
+
"step": 3310
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 4.970059880239521,
|
2378 |
+
"grad_norm": 0.357421875,
|
2379 |
+
"learning_rate": 0.00014064166641009982,
|
2380 |
+
"loss": 0.5777,
|
2381 |
+
"step": 3320
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 4.985029940119761,
|
2385 |
+
"grad_norm": 0.318359375,
|
2386 |
+
"learning_rate": 0.00014032141389483648,
|
2387 |
+
"loss": 0.5649,
|
2388 |
+
"step": 3330
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 5.0,
|
2392 |
+
"grad_norm": 0.56640625,
|
2393 |
+
"learning_rate": 0.000140000666784065,
|
2394 |
+
"loss": 0.5502,
|
2395 |
+
"step": 3340
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 5.014970059880239,
|
2399 |
+
"grad_norm": 0.373046875,
|
2400 |
+
"learning_rate": 0.0001396794290121731,
|
2401 |
+
"loss": 0.436,
|
2402 |
+
"step": 3350
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 5.029940119760479,
|
2406 |
+
"grad_norm": 0.34765625,
|
2407 |
+
"learning_rate": 0.0001393577045195673,
|
2408 |
+
"loss": 0.4013,
|
2409 |
+
"step": 3360
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 5.044910179640719,
|
2413 |
+
"grad_norm": 0.376953125,
|
2414 |
+
"learning_rate": 0.00013903549725262433,
|
2415 |
+
"loss": 0.4434,
|
2416 |
+
"step": 3370
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 5.059880239520958,
|
2420 |
+
"grad_norm": 0.384765625,
|
2421 |
+
"learning_rate": 0.0001387128111636427,
|
2422 |
+
"loss": 0.4261,
|
2423 |
+
"step": 3380
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 5.074850299401198,
|
2427 |
+
"grad_norm": 0.400390625,
|
2428 |
+
"learning_rate": 0.00013838965021079446,
|
2429 |
+
"loss": 0.416,
|
2430 |
+
"step": 3390
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 5.089820359281437,
|
2434 |
+
"grad_norm": 0.400390625,
|
2435 |
+
"learning_rate": 0.00013806601835807637,
|
2436 |
+
"loss": 0.4205,
|
2437 |
+
"step": 3400
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 5.104790419161676,
|
2441 |
+
"grad_norm": 0.421875,
|
2442 |
+
"learning_rate": 0.00013774191957526143,
|
2443 |
+
"loss": 0.4286,
|
2444 |
+
"step": 3410
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 5.119760479041916,
|
2448 |
+
"grad_norm": 0.38671875,
|
2449 |
+
"learning_rate": 0.0001374173578378502,
|
2450 |
+
"loss": 0.4198,
|
2451 |
+
"step": 3420
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 5.134730538922156,
|
2455 |
+
"grad_norm": 0.373046875,
|
2456 |
+
"learning_rate": 0.00013709233712702197,
|
2457 |
+
"loss": 0.4341,
|
2458 |
+
"step": 3430
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 5.149700598802395,
|
2462 |
+
"grad_norm": 0.40234375,
|
2463 |
+
"learning_rate": 0.00013676686142958586,
|
2464 |
+
"loss": 0.4431,
|
2465 |
+
"step": 3440
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 5.164670658682635,
|
2469 |
+
"grad_norm": 0.375,
|
2470 |
+
"learning_rate": 0.00013644093473793215,
|
2471 |
+
"loss": 0.4194,
|
2472 |
+
"step": 3450
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 5.179640718562874,
|
2476 |
+
"grad_norm": 0.41796875,
|
2477 |
+
"learning_rate": 0.00013611456104998303,
|
2478 |
+
"loss": 0.417,
|
2479 |
+
"step": 3460
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 5.1946107784431135,
|
2483 |
+
"grad_norm": 0.357421875,
|
2484 |
+
"learning_rate": 0.0001357877443691438,
|
2485 |
+
"loss": 0.4467,
|
2486 |
+
"step": 3470
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 5.209580838323353,
|
2490 |
+
"grad_norm": 0.359375,
|
2491 |
+
"learning_rate": 0.00013546048870425356,
|
2492 |
+
"loss": 0.4206,
|
2493 |
+
"step": 3480
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 5.224550898203593,
|
2497 |
+
"grad_norm": 0.369140625,
|
2498 |
+
"learning_rate": 0.00013513279806953623,
|
2499 |
+
"loss": 0.4148,
|
2500 |
+
"step": 3490
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 5.2395209580838324,
|
2504 |
+
"grad_norm": 0.36328125,
|
2505 |
+
"learning_rate": 0.0001348046764845511,
|
2506 |
+
"loss": 0.415,
|
2507 |
+
"step": 3500
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 5.2395209580838324,
|
2511 |
+
"eval_loss": 0.4033271074295044,
|
2512 |
+
"eval_runtime": 109.9729,
|
2513 |
+
"eval_samples_per_second": 9.093,
|
2514 |
+
"eval_steps_per_second": 1.137,
|
2515 |
+
"step": 3500
|
2516 |
+
}
|
2517 |
+
],
|
2518 |
+
"logging_steps": 10,
|
2519 |
+
"max_steps": 9000,
|
2520 |
+
"num_input_tokens_seen": 0,
|
2521 |
+
"num_train_epochs": 14,
|
2522 |
+
"save_steps": 500,
|
2523 |
+
"stateful_callbacks": {
|
2524 |
+
"TrainerControl": {
|
2525 |
+
"args": {
|
2526 |
+
"should_epoch_stop": false,
|
2527 |
+
"should_evaluate": false,
|
2528 |
+
"should_log": false,
|
2529 |
+
"should_save": true,
|
2530 |
+
"should_training_stop": false
|
2531 |
+
},
|
2532 |
+
"attributes": {}
|
2533 |
+
}
|
2534 |
+
},
|
2535 |
+
"total_flos": 2.433118987616256e+17,
|
2536 |
+
"train_batch_size": 16,
|
2537 |
+
"trial_name": null,
|
2538 |
+
"trial_params": null
|
2539 |
+
}
|
checkpoint-3500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348daaccb41aadfbde16c1e7cfc25845c19b3830f0c06870086619db652baae1
|
3 |
+
size 5176
|
checkpoint-4000/config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nisten/Biggie-SmoLlm-0.4B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 960,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 2560,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 15,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 5,
|
20 |
+
"pad_token_id": 2,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": true,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.44.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 49152
|
30 |
+
}
|
checkpoint-4000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 2,
|
6 |
+
"transformers_version": "4.44.0"
|
7 |
+
}
|