Upload folder using huggingface_hub
Browse files- added_tokens.json +40 -0
- config.json +34 -0
- generation_config.json +4 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +348 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +324 -0
- trainer_state.json +2821 -0
- training_args.bin +3 -0
- vocab.json +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"\t\t": 50294,
|
3 |
+
"\t\t\t": 50293,
|
4 |
+
"\t\t\t\t": 50292,
|
5 |
+
"\t\t\t\t\t": 50291,
|
6 |
+
"\t\t\t\t\t\t": 50290,
|
7 |
+
"\t\t\t\t\t\t\t": 50289,
|
8 |
+
"\t\t\t\t\t\t\t\t": 50288,
|
9 |
+
"\t\t\t\t\t\t\t\t\t": 50287,
|
10 |
+
" ": 50286,
|
11 |
+
" ": 50285,
|
12 |
+
" ": 50284,
|
13 |
+
" ": 50283,
|
14 |
+
" ": 50282,
|
15 |
+
" ": 50281,
|
16 |
+
" ": 50280,
|
17 |
+
" ": 50279,
|
18 |
+
" ": 50278,
|
19 |
+
" ": 50277,
|
20 |
+
" ": 50276,
|
21 |
+
" ": 50275,
|
22 |
+
" ": 50274,
|
23 |
+
" ": 50273,
|
24 |
+
" ": 50272,
|
25 |
+
" ": 50271,
|
26 |
+
" ": 50270,
|
27 |
+
" ": 50269,
|
28 |
+
" ": 50268,
|
29 |
+
" ": 50267,
|
30 |
+
" ": 50266,
|
31 |
+
" ": 50265,
|
32 |
+
" ": 50264,
|
33 |
+
" ": 50263,
|
34 |
+
" ": 50262,
|
35 |
+
" ": 50261,
|
36 |
+
" ": 50260,
|
37 |
+
" ": 50259,
|
38 |
+
" ": 50258,
|
39 |
+
" ": 50257
|
40 |
+
}
|
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/phi-1_5",
|
3 |
+
"architectures": [
|
4 |
+
"PhiForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"auto_map": {
|
8 |
+
"AutoConfig": "microsoft/phi-1_5--configuration_phi.PhiConfig",
|
9 |
+
"AutoModelForCausalLM": "microsoft/phi-1_5--modeling_phi.PhiForCausalLM"
|
10 |
+
},
|
11 |
+
"bos_token_id": null,
|
12 |
+
"embd_pdrop": 0.0,
|
13 |
+
"eos_token_id": null,
|
14 |
+
"hidden_act": "gelu_new",
|
15 |
+
"hidden_size": 2048,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 8192,
|
18 |
+
"layer_norm_eps": 1e-05,
|
19 |
+
"max_position_embeddings": 2048,
|
20 |
+
"model_type": "phi",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 24,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"partial_rotary_factor": 0.5,
|
25 |
+
"qk_layernorm": false,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rope_scaling": null,
|
28 |
+
"rope_theta": 10000.0,
|
29 |
+
"tie_word_embeddings": false,
|
30 |
+
"torch_dtype": "float32",
|
31 |
+
"transformers_version": "4.40.0.dev0",
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 51200
|
34 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"transformers_version": "4.40.0.dev0"
|
4 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c643397a1fffd256f28678860c5658452141b39b6b2558c486d49be1132fc84
|
3 |
+
size 4984916152
|
model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dff6572c722e6b21ba240230fc49f692453ecd8d4319d4cf36f895d50783cea4
|
3 |
+
size 688204064
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,348 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 5673082880
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.bias": "model-00002-of-00002.safetensors",
|
7 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
8 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.final_layernorm.bias": "model-00002-of-00002.safetensors",
|
10 |
+
"model.final_layernorm.weight": "model-00002-of-00002.safetensors",
|
11 |
+
"model.layers.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.0.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.0.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.1.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.1.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.1.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.1.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.1.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.1.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.10.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.10.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.10.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.10.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.10.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.10.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.11.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.11.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.11.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.11.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.11.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.11.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.12.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.12.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.12.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.12.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.12.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.12.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.13.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.13.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.13.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.13.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.13.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.13.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.14.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.14.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.14.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.14.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.14.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.14.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.15.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.15.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.15.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.15.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.15.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.15.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.16.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.16.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.16.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.16.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.16.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.16.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.17.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.17.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.17.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.17.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.17.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.17.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
153 |
+
"model.layers.18.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
154 |
+
"model.layers.18.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"model.layers.18.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
156 |
+
"model.layers.18.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
157 |
+
"model.layers.18.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.18.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.19.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.19.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.19.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.19.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.19.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.19.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.2.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.2.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.2.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.2.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.2.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.2.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.20.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.20.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.20.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.20.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.20.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
200 |
+
"model.layers.20.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
201 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
202 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
203 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
204 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
205 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
206 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
207 |
+
"model.layers.21.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
208 |
+
"model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
209 |
+
"model.layers.21.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
210 |
+
"model.layers.21.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
211 |
+
"model.layers.21.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
212 |
+
"model.layers.21.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
213 |
+
"model.layers.21.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
214 |
+
"model.layers.21.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
215 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
216 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
217 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
218 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
219 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
220 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
221 |
+
"model.layers.22.input_layernorm.bias": "model-00002-of-00002.safetensors",
|
222 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
223 |
+
"model.layers.22.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
224 |
+
"model.layers.22.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
225 |
+
"model.layers.22.mlp.fc2.bias": "model-00002-of-00002.safetensors",
|
226 |
+
"model.layers.22.mlp.fc2.weight": "model-00002-of-00002.safetensors",
|
227 |
+
"model.layers.22.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
228 |
+
"model.layers.22.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
229 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
230 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
231 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
232 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
233 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
234 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
235 |
+
"model.layers.23.input_layernorm.bias": "model-00002-of-00002.safetensors",
|
236 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
237 |
+
"model.layers.23.mlp.fc1.bias": "model-00002-of-00002.safetensors",
|
238 |
+
"model.layers.23.mlp.fc1.weight": "model-00002-of-00002.safetensors",
|
239 |
+
"model.layers.23.mlp.fc2.bias": "model-00002-of-00002.safetensors",
|
240 |
+
"model.layers.23.mlp.fc2.weight": "model-00002-of-00002.safetensors",
|
241 |
+
"model.layers.23.self_attn.dense.bias": "model-00002-of-00002.safetensors",
|
242 |
+
"model.layers.23.self_attn.dense.weight": "model-00002-of-00002.safetensors",
|
243 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
244 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
245 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
246 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
247 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
248 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
249 |
+
"model.layers.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
250 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
251 |
+
"model.layers.3.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
252 |
+
"model.layers.3.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
253 |
+
"model.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
254 |
+
"model.layers.3.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
255 |
+
"model.layers.3.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
256 |
+
"model.layers.3.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
257 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
258 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
259 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
260 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
262 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"model.layers.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
264 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
265 |
+
"model.layers.4.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
266 |
+
"model.layers.4.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"model.layers.4.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.4.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"model.layers.4.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
270 |
+
"model.layers.4.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
271 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
272 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
274 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
276 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
277 |
+
"model.layers.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
278 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.5.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.5.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
281 |
+
"model.layers.5.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
282 |
+
"model.layers.5.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.5.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.5.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.6.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.6.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"model.layers.6.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
296 |
+
"model.layers.6.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
297 |
+
"model.layers.6.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
298 |
+
"model.layers.6.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
300 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
301 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
302 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"model.layers.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
306 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
307 |
+
"model.layers.7.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
308 |
+
"model.layers.7.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
309 |
+
"model.layers.7.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
310 |
+
"model.layers.7.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"model.layers.7.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
312 |
+
"model.layers.7.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"model.layers.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
320 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"model.layers.8.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
322 |
+
"model.layers.8.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
323 |
+
"model.layers.8.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
324 |
+
"model.layers.8.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
325 |
+
"model.layers.8.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
326 |
+
"model.layers.8.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
332 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
333 |
+
"model.layers.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
|
334 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
335 |
+
"model.layers.9.mlp.fc1.bias": "model-00001-of-00002.safetensors",
|
336 |
+
"model.layers.9.mlp.fc1.weight": "model-00001-of-00002.safetensors",
|
337 |
+
"model.layers.9.mlp.fc2.bias": "model-00001-of-00002.safetensors",
|
338 |
+
"model.layers.9.mlp.fc2.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"model.layers.9.self_attn.dense.bias": "model-00001-of-00002.safetensors",
|
340 |
+
"model.layers.9.self_attn.dense.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
344 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
345 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
346 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors"
|
347 |
+
}
|
348 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4ca90f3f877b5498eecfa0ce9da5dea4c9f0e414f2d9b532c103d3462123e8f
|
3 |
+
size 6583930
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9196a1e708bf24d6abba41cce3f8558820acc3e50f9394c5955e29eb41ffea3d
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a45c96fd3949f68c33124ac2bd0d0b4975eb375c304d25e9fb175936010afb1f
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,324 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"50256": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"50257": {
|
13 |
+
"content": " ",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": false
|
19 |
+
},
|
20 |
+
"50258": {
|
21 |
+
"content": " ",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": false
|
27 |
+
},
|
28 |
+
"50259": {
|
29 |
+
"content": " ",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": false
|
35 |
+
},
|
36 |
+
"50260": {
|
37 |
+
"content": " ",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": true,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": false
|
43 |
+
},
|
44 |
+
"50261": {
|
45 |
+
"content": " ",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": false
|
51 |
+
},
|
52 |
+
"50262": {
|
53 |
+
"content": " ",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": true,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": false
|
59 |
+
},
|
60 |
+
"50263": {
|
61 |
+
"content": " ",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": true,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": false
|
67 |
+
},
|
68 |
+
"50264": {
|
69 |
+
"content": " ",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": true,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": false
|
75 |
+
},
|
76 |
+
"50265": {
|
77 |
+
"content": " ",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": true,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": false
|
83 |
+
},
|
84 |
+
"50266": {
|
85 |
+
"content": " ",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": true,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": false
|
91 |
+
},
|
92 |
+
"50267": {
|
93 |
+
"content": " ",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": true,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": false
|
99 |
+
},
|
100 |
+
"50268": {
|
101 |
+
"content": " ",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": true,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": false
|
107 |
+
},
|
108 |
+
"50269": {
|
109 |
+
"content": " ",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": true,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": false
|
115 |
+
},
|
116 |
+
"50270": {
|
117 |
+
"content": " ",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": true,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": false
|
123 |
+
},
|
124 |
+
"50271": {
|
125 |
+
"content": " ",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": true,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": false
|
131 |
+
},
|
132 |
+
"50272": {
|
133 |
+
"content": " ",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": true,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": false
|
139 |
+
},
|
140 |
+
"50273": {
|
141 |
+
"content": " ",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": true,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": false
|
147 |
+
},
|
148 |
+
"50274": {
|
149 |
+
"content": " ",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": true,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": false
|
155 |
+
},
|
156 |
+
"50275": {
|
157 |
+
"content": " ",
|
158 |
+
"lstrip": false,
|
159 |
+
"normalized": true,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"50276": {
|
165 |
+
"content": " ",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": true,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": false
|
171 |
+
},
|
172 |
+
"50277": {
|
173 |
+
"content": " ",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": true,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": false
|
179 |
+
},
|
180 |
+
"50278": {
|
181 |
+
"content": " ",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": true,
|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": false
|
187 |
+
},
|
188 |
+
"50279": {
|
189 |
+
"content": " ",
|
190 |
+
"lstrip": false,
|
191 |
+
"normalized": true,
|
192 |
+
"rstrip": false,
|
193 |
+
"single_word": false,
|
194 |
+
"special": false
|
195 |
+
},
|
196 |
+
"50280": {
|
197 |
+
"content": " ",
|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": true,
|
200 |
+
"rstrip": false,
|
201 |
+
"single_word": false,
|
202 |
+
"special": false
|
203 |
+
},
|
204 |
+
"50281": {
|
205 |
+
"content": " ",
|
206 |
+
"lstrip": false,
|
207 |
+
"normalized": true,
|
208 |
+
"rstrip": false,
|
209 |
+
"single_word": false,
|
210 |
+
"special": false
|
211 |
+
},
|
212 |
+
"50282": {
|
213 |
+
"content": " ",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": true,
|
216 |
+
"rstrip": false,
|
217 |
+
"single_word": false,
|
218 |
+
"special": false
|
219 |
+
},
|
220 |
+
"50283": {
|
221 |
+
"content": " ",
|
222 |
+
"lstrip": false,
|
223 |
+
"normalized": true,
|
224 |
+
"rstrip": false,
|
225 |
+
"single_word": false,
|
226 |
+
"special": false
|
227 |
+
},
|
228 |
+
"50284": {
|
229 |
+
"content": " ",
|
230 |
+
"lstrip": false,
|
231 |
+
"normalized": true,
|
232 |
+
"rstrip": false,
|
233 |
+
"single_word": false,
|
234 |
+
"special": false
|
235 |
+
},
|
236 |
+
"50285": {
|
237 |
+
"content": " ",
|
238 |
+
"lstrip": false,
|
239 |
+
"normalized": true,
|
240 |
+
"rstrip": false,
|
241 |
+
"single_word": false,
|
242 |
+
"special": false
|
243 |
+
},
|
244 |
+
"50286": {
|
245 |
+
"content": " ",
|
246 |
+
"lstrip": false,
|
247 |
+
"normalized": true,
|
248 |
+
"rstrip": false,
|
249 |
+
"single_word": false,
|
250 |
+
"special": false
|
251 |
+
},
|
252 |
+
"50287": {
|
253 |
+
"content": "\t\t\t\t\t\t\t\t\t",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": true,
|
256 |
+
"rstrip": false,
|
257 |
+
"single_word": false,
|
258 |
+
"special": false
|
259 |
+
},
|
260 |
+
"50288": {
|
261 |
+
"content": "\t\t\t\t\t\t\t\t",
|
262 |
+
"lstrip": false,
|
263 |
+
"normalized": true,
|
264 |
+
"rstrip": false,
|
265 |
+
"single_word": false,
|
266 |
+
"special": false
|
267 |
+
},
|
268 |
+
"50289": {
|
269 |
+
"content": "\t\t\t\t\t\t\t",
|
270 |
+
"lstrip": false,
|
271 |
+
"normalized": true,
|
272 |
+
"rstrip": false,
|
273 |
+
"single_word": false,
|
274 |
+
"special": false
|
275 |
+
},
|
276 |
+
"50290": {
|
277 |
+
"content": "\t\t\t\t\t\t",
|
278 |
+
"lstrip": false,
|
279 |
+
"normalized": true,
|
280 |
+
"rstrip": false,
|
281 |
+
"single_word": false,
|
282 |
+
"special": false
|
283 |
+
},
|
284 |
+
"50291": {
|
285 |
+
"content": "\t\t\t\t\t",
|
286 |
+
"lstrip": false,
|
287 |
+
"normalized": true,
|
288 |
+
"rstrip": false,
|
289 |
+
"single_word": false,
|
290 |
+
"special": false
|
291 |
+
},
|
292 |
+
"50292": {
|
293 |
+
"content": "\t\t\t\t",
|
294 |
+
"lstrip": false,
|
295 |
+
"normalized": true,
|
296 |
+
"rstrip": false,
|
297 |
+
"single_word": false,
|
298 |
+
"special": false
|
299 |
+
},
|
300 |
+
"50293": {
|
301 |
+
"content": "\t\t\t",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": true,
|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": false
|
307 |
+
},
|
308 |
+
"50294": {
|
309 |
+
"content": "\t\t",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": true,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": false
|
315 |
+
}
|
316 |
+
},
|
317 |
+
"bos_token": "<|endoftext|>",
|
318 |
+
"clean_up_tokenization_spaces": true,
|
319 |
+
"eos_token": "<|endoftext|>",
|
320 |
+
"model_max_length": 2048,
|
321 |
+
"pad_token": "<|endoftext|>",
|
322 |
+
"tokenizer_class": "CodeGenTokenizer",
|
323 |
+
"unk_token": "<|endoftext|>"
|
324 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2821 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.7681277767781762,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 40000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 1.627527117729187,
|
14 |
+
"learning_rate": 2.0000000000000002e-07,
|
15 |
+
"loss": 1.6515,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"grad_norm": 3.3607966899871826,
|
21 |
+
"learning_rate": 4.0000000000000003e-07,
|
22 |
+
"loss": 1.5943,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02,
|
27 |
+
"grad_norm": 2.29317569732666,
|
28 |
+
"learning_rate": 6.000000000000001e-07,
|
29 |
+
"loss": 1.5328,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.03,
|
34 |
+
"grad_norm": 2.983344793319702,
|
35 |
+
"learning_rate": 8.000000000000001e-07,
|
36 |
+
"loss": 1.442,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.03,
|
41 |
+
"grad_norm": 1.250658392906189,
|
42 |
+
"learning_rate": 1.0000000000000002e-06,
|
43 |
+
"loss": 1.4485,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"grad_norm": 2.972992181777954,
|
49 |
+
"learning_rate": 1.2000000000000002e-06,
|
50 |
+
"loss": 1.4266,
|
51 |
+
"step": 600
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.05,
|
55 |
+
"grad_norm": 1.000815987586975,
|
56 |
+
"learning_rate": 1.4000000000000001e-06,
|
57 |
+
"loss": 1.4383,
|
58 |
+
"step": 700
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.06,
|
62 |
+
"grad_norm": 2.1002461910247803,
|
63 |
+
"learning_rate": 1.6000000000000001e-06,
|
64 |
+
"loss": 1.3659,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.06,
|
69 |
+
"grad_norm": 3.4979097843170166,
|
70 |
+
"learning_rate": 1.8000000000000001e-06,
|
71 |
+
"loss": 1.3398,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.07,
|
76 |
+
"grad_norm": 1.488598108291626,
|
77 |
+
"learning_rate": 2.0000000000000003e-06,
|
78 |
+
"loss": 1.3205,
|
79 |
+
"step": 1000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.08,
|
83 |
+
"grad_norm": 2.3284659385681152,
|
84 |
+
"learning_rate": 2.2e-06,
|
85 |
+
"loss": 1.3387,
|
86 |
+
"step": 1100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.08,
|
90 |
+
"grad_norm": 1.0155582427978516,
|
91 |
+
"learning_rate": 2.4000000000000003e-06,
|
92 |
+
"loss": 1.3109,
|
93 |
+
"step": 1200
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.09,
|
97 |
+
"grad_norm": 1.5492284297943115,
|
98 |
+
"learning_rate": 2.6e-06,
|
99 |
+
"loss": 1.3412,
|
100 |
+
"step": 1300
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.1,
|
104 |
+
"grad_norm": 2.186521053314209,
|
105 |
+
"learning_rate": 2.8000000000000003e-06,
|
106 |
+
"loss": 1.2986,
|
107 |
+
"step": 1400
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.1,
|
111 |
+
"grad_norm": 2.881683826446533,
|
112 |
+
"learning_rate": 3e-06,
|
113 |
+
"loss": 1.2885,
|
114 |
+
"step": 1500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.11,
|
118 |
+
"grad_norm": 1.8918137550354004,
|
119 |
+
"learning_rate": 3.2000000000000003e-06,
|
120 |
+
"loss": 1.2758,
|
121 |
+
"step": 1600
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.12,
|
125 |
+
"grad_norm": 1.7110064029693604,
|
126 |
+
"learning_rate": 3.4000000000000005e-06,
|
127 |
+
"loss": 1.25,
|
128 |
+
"step": 1700
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.12,
|
132 |
+
"grad_norm": 1.2428609132766724,
|
133 |
+
"learning_rate": 3.6000000000000003e-06,
|
134 |
+
"loss": 1.2522,
|
135 |
+
"step": 1800
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.13,
|
139 |
+
"grad_norm": 1.486438274383545,
|
140 |
+
"learning_rate": 3.8000000000000005e-06,
|
141 |
+
"loss": 1.2921,
|
142 |
+
"step": 1900
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.14,
|
146 |
+
"grad_norm": 1.3330516815185547,
|
147 |
+
"learning_rate": 4.000000000000001e-06,
|
148 |
+
"loss": 1.2726,
|
149 |
+
"step": 2000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.15,
|
153 |
+
"grad_norm": 1.2707250118255615,
|
154 |
+
"learning_rate": 4.2000000000000004e-06,
|
155 |
+
"loss": 1.2611,
|
156 |
+
"step": 2100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.15,
|
160 |
+
"grad_norm": 1.2464886903762817,
|
161 |
+
"learning_rate": 4.4e-06,
|
162 |
+
"loss": 1.1845,
|
163 |
+
"step": 2200
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.16,
|
167 |
+
"grad_norm": 2.0787854194641113,
|
168 |
+
"learning_rate": 4.600000000000001e-06,
|
169 |
+
"loss": 1.232,
|
170 |
+
"step": 2300
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.17,
|
174 |
+
"grad_norm": 1.1252142190933228,
|
175 |
+
"learning_rate": 4.800000000000001e-06,
|
176 |
+
"loss": 1.2238,
|
177 |
+
"step": 2400
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.17,
|
181 |
+
"grad_norm": 2.1759724617004395,
|
182 |
+
"learning_rate": 5e-06,
|
183 |
+
"loss": 1.2241,
|
184 |
+
"step": 2500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.18,
|
188 |
+
"grad_norm": 1.2348289489746094,
|
189 |
+
"learning_rate": 5.2e-06,
|
190 |
+
"loss": 1.2061,
|
191 |
+
"step": 2600
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.19,
|
195 |
+
"grad_norm": 1.6029518842697144,
|
196 |
+
"learning_rate": 5.400000000000001e-06,
|
197 |
+
"loss": 1.231,
|
198 |
+
"step": 2700
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.19,
|
202 |
+
"grad_norm": 1.6929903030395508,
|
203 |
+
"learning_rate": 5.600000000000001e-06,
|
204 |
+
"loss": 1.2483,
|
205 |
+
"step": 2800
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.2,
|
209 |
+
"grad_norm": 1.3111672401428223,
|
210 |
+
"learning_rate": 5.8e-06,
|
211 |
+
"loss": 1.1867,
|
212 |
+
"step": 2900
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.21,
|
216 |
+
"grad_norm": 1.8920849561691284,
|
217 |
+
"learning_rate": 6e-06,
|
218 |
+
"loss": 1.2196,
|
219 |
+
"step": 3000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.21,
|
223 |
+
"grad_norm": 1.2619389295578003,
|
224 |
+
"learning_rate": 6.200000000000001e-06,
|
225 |
+
"loss": 1.1967,
|
226 |
+
"step": 3100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.22,
|
230 |
+
"grad_norm": 1.2584483623504639,
|
231 |
+
"learning_rate": 6.4000000000000006e-06,
|
232 |
+
"loss": 1.2241,
|
233 |
+
"step": 3200
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.23,
|
237 |
+
"grad_norm": 2.4540085792541504,
|
238 |
+
"learning_rate": 6.600000000000001e-06,
|
239 |
+
"loss": 1.2085,
|
240 |
+
"step": 3300
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.24,
|
244 |
+
"grad_norm": 1.9549946784973145,
|
245 |
+
"learning_rate": 6.800000000000001e-06,
|
246 |
+
"loss": 1.2147,
|
247 |
+
"step": 3400
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.24,
|
251 |
+
"grad_norm": 1.6350594758987427,
|
252 |
+
"learning_rate": 7e-06,
|
253 |
+
"loss": 1.1885,
|
254 |
+
"step": 3500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.25,
|
258 |
+
"grad_norm": 1.2129911184310913,
|
259 |
+
"learning_rate": 7.2000000000000005e-06,
|
260 |
+
"loss": 1.1798,
|
261 |
+
"step": 3600
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.26,
|
265 |
+
"grad_norm": 1.8281323909759521,
|
266 |
+
"learning_rate": 7.4e-06,
|
267 |
+
"loss": 1.2138,
|
268 |
+
"step": 3700
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.26,
|
272 |
+
"grad_norm": 1.2283638715744019,
|
273 |
+
"learning_rate": 7.600000000000001e-06,
|
274 |
+
"loss": 1.1912,
|
275 |
+
"step": 3800
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.27,
|
279 |
+
"grad_norm": 1.0899721384048462,
|
280 |
+
"learning_rate": 7.800000000000002e-06,
|
281 |
+
"loss": 1.1669,
|
282 |
+
"step": 3900
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.28,
|
286 |
+
"grad_norm": 2.278108835220337,
|
287 |
+
"learning_rate": 8.000000000000001e-06,
|
288 |
+
"loss": 1.1874,
|
289 |
+
"step": 4000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.28,
|
293 |
+
"grad_norm": 1.3872917890548706,
|
294 |
+
"learning_rate": 8.2e-06,
|
295 |
+
"loss": 1.137,
|
296 |
+
"step": 4100
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.29,
|
300 |
+
"grad_norm": 1.3998219966888428,
|
301 |
+
"learning_rate": 8.400000000000001e-06,
|
302 |
+
"loss": 1.195,
|
303 |
+
"step": 4200
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.3,
|
307 |
+
"grad_norm": 1.7483501434326172,
|
308 |
+
"learning_rate": 8.6e-06,
|
309 |
+
"loss": 1.1831,
|
310 |
+
"step": 4300
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.3,
|
314 |
+
"grad_norm": 1.5719019174575806,
|
315 |
+
"learning_rate": 8.8e-06,
|
316 |
+
"loss": 1.1504,
|
317 |
+
"step": 4400
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.31,
|
321 |
+
"grad_norm": 2.4657835960388184,
|
322 |
+
"learning_rate": 9e-06,
|
323 |
+
"loss": 1.1649,
|
324 |
+
"step": 4500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.32,
|
328 |
+
"grad_norm": 1.1862558126449585,
|
329 |
+
"learning_rate": 9.200000000000002e-06,
|
330 |
+
"loss": 1.171,
|
331 |
+
"step": 4600
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.33,
|
335 |
+
"grad_norm": 1.7354410886764526,
|
336 |
+
"learning_rate": 9.4e-06,
|
337 |
+
"loss": 1.1662,
|
338 |
+
"step": 4700
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.33,
|
342 |
+
"grad_norm": 1.0458894968032837,
|
343 |
+
"learning_rate": 9.600000000000001e-06,
|
344 |
+
"loss": 1.1723,
|
345 |
+
"step": 4800
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.34,
|
349 |
+
"grad_norm": 1.53070068359375,
|
350 |
+
"learning_rate": 9.800000000000001e-06,
|
351 |
+
"loss": 1.142,
|
352 |
+
"step": 4900
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.35,
|
356 |
+
"grad_norm": 1.8468633890151978,
|
357 |
+
"learning_rate": 1e-05,
|
358 |
+
"loss": 1.1439,
|
359 |
+
"step": 5000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.35,
|
363 |
+
"grad_norm": 3.052553415298462,
|
364 |
+
"learning_rate": 9.998862920520419e-06,
|
365 |
+
"loss": 1.1258,
|
366 |
+
"step": 5100
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.36,
|
370 |
+
"grad_norm": 1.6377853155136108,
|
371 |
+
"learning_rate": 9.997725841040839e-06,
|
372 |
+
"loss": 1.158,
|
373 |
+
"step": 5200
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.37,
|
377 |
+
"grad_norm": 1.6240949630737305,
|
378 |
+
"learning_rate": 9.996588761561257e-06,
|
379 |
+
"loss": 1.1527,
|
380 |
+
"step": 5300
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.37,
|
384 |
+
"grad_norm": 1.140751838684082,
|
385 |
+
"learning_rate": 9.995451682081675e-06,
|
386 |
+
"loss": 1.1249,
|
387 |
+
"step": 5400
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.38,
|
391 |
+
"grad_norm": 1.3971983194351196,
|
392 |
+
"learning_rate": 9.994314602602093e-06,
|
393 |
+
"loss": 1.1209,
|
394 |
+
"step": 5500
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.39,
|
398 |
+
"grad_norm": 1.5263160467147827,
|
399 |
+
"learning_rate": 9.993177523122513e-06,
|
400 |
+
"loss": 1.143,
|
401 |
+
"step": 5600
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.39,
|
405 |
+
"grad_norm": 1.9025936126708984,
|
406 |
+
"learning_rate": 9.992040443642932e-06,
|
407 |
+
"loss": 1.1446,
|
408 |
+
"step": 5700
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.4,
|
412 |
+
"grad_norm": 1.5196770429611206,
|
413 |
+
"learning_rate": 9.99090336416335e-06,
|
414 |
+
"loss": 1.128,
|
415 |
+
"step": 5800
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.41,
|
419 |
+
"grad_norm": 1.6052297353744507,
|
420 |
+
"learning_rate": 9.989766284683768e-06,
|
421 |
+
"loss": 1.1516,
|
422 |
+
"step": 5900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.42,
|
426 |
+
"grad_norm": 1.380449891090393,
|
427 |
+
"learning_rate": 9.988629205204186e-06,
|
428 |
+
"loss": 1.145,
|
429 |
+
"step": 6000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.42,
|
433 |
+
"grad_norm": 2.3284366130828857,
|
434 |
+
"learning_rate": 9.987492125724604e-06,
|
435 |
+
"loss": 1.1037,
|
436 |
+
"step": 6100
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.43,
|
440 |
+
"grad_norm": 1.3824948072433472,
|
441 |
+
"learning_rate": 9.986355046245022e-06,
|
442 |
+
"loss": 1.1199,
|
443 |
+
"step": 6200
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.44,
|
447 |
+
"grad_norm": 1.4291472434997559,
|
448 |
+
"learning_rate": 9.98521796676544e-06,
|
449 |
+
"loss": 1.1105,
|
450 |
+
"step": 6300
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.44,
|
454 |
+
"grad_norm": 1.066612720489502,
|
455 |
+
"learning_rate": 9.98408088728586e-06,
|
456 |
+
"loss": 1.1156,
|
457 |
+
"step": 6400
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.45,
|
461 |
+
"grad_norm": 1.5840893983840942,
|
462 |
+
"learning_rate": 9.982943807806279e-06,
|
463 |
+
"loss": 1.1309,
|
464 |
+
"step": 6500
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.46,
|
468 |
+
"grad_norm": 1.7354705333709717,
|
469 |
+
"learning_rate": 9.981806728326697e-06,
|
470 |
+
"loss": 1.1295,
|
471 |
+
"step": 6600
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.46,
|
475 |
+
"grad_norm": 1.6103971004486084,
|
476 |
+
"learning_rate": 9.980669648847115e-06,
|
477 |
+
"loss": 1.0882,
|
478 |
+
"step": 6700
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.47,
|
482 |
+
"grad_norm": 1.776055097579956,
|
483 |
+
"learning_rate": 9.979532569367535e-06,
|
484 |
+
"loss": 1.1341,
|
485 |
+
"step": 6800
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.48,
|
489 |
+
"grad_norm": 1.616837501525879,
|
490 |
+
"learning_rate": 9.978395489887953e-06,
|
491 |
+
"loss": 1.1135,
|
492 |
+
"step": 6900
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.48,
|
496 |
+
"grad_norm": 1.9637792110443115,
|
497 |
+
"learning_rate": 9.977258410408371e-06,
|
498 |
+
"loss": 1.1072,
|
499 |
+
"step": 7000
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.49,
|
503 |
+
"grad_norm": 1.27550208568573,
|
504 |
+
"learning_rate": 9.97612133092879e-06,
|
505 |
+
"loss": 1.106,
|
506 |
+
"step": 7100
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.5,
|
510 |
+
"grad_norm": 1.0396106243133545,
|
511 |
+
"learning_rate": 9.97498425144921e-06,
|
512 |
+
"loss": 1.1229,
|
513 |
+
"step": 7200
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.51,
|
517 |
+
"grad_norm": 0.9161854982376099,
|
518 |
+
"learning_rate": 9.973847171969628e-06,
|
519 |
+
"loss": 1.1276,
|
520 |
+
"step": 7300
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.51,
|
524 |
+
"grad_norm": 1.9152147769927979,
|
525 |
+
"learning_rate": 9.972710092490046e-06,
|
526 |
+
"loss": 1.0951,
|
527 |
+
"step": 7400
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.52,
|
531 |
+
"grad_norm": 2.0047073364257812,
|
532 |
+
"learning_rate": 9.971573013010464e-06,
|
533 |
+
"loss": 1.1064,
|
534 |
+
"step": 7500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.53,
|
538 |
+
"grad_norm": 1.2931337356567383,
|
539 |
+
"learning_rate": 9.970435933530884e-06,
|
540 |
+
"loss": 1.0791,
|
541 |
+
"step": 7600
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.53,
|
545 |
+
"grad_norm": 1.5274972915649414,
|
546 |
+
"learning_rate": 9.969298854051302e-06,
|
547 |
+
"loss": 1.0997,
|
548 |
+
"step": 7700
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.54,
|
552 |
+
"grad_norm": 0.8224054574966431,
|
553 |
+
"learning_rate": 9.96816177457172e-06,
|
554 |
+
"loss": 1.1097,
|
555 |
+
"step": 7800
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.55,
|
559 |
+
"grad_norm": 2.06256365776062,
|
560 |
+
"learning_rate": 9.967024695092138e-06,
|
561 |
+
"loss": 1.097,
|
562 |
+
"step": 7900
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.55,
|
566 |
+
"grad_norm": 1.4321802854537964,
|
567 |
+
"learning_rate": 9.965887615612557e-06,
|
568 |
+
"loss": 1.0709,
|
569 |
+
"step": 8000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.56,
|
573 |
+
"grad_norm": 0.9085447788238525,
|
574 |
+
"learning_rate": 9.964750536132975e-06,
|
575 |
+
"loss": 1.0864,
|
576 |
+
"step": 8100
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.57,
|
580 |
+
"grad_norm": 0.9192917346954346,
|
581 |
+
"learning_rate": 9.963613456653393e-06,
|
582 |
+
"loss": 1.0833,
|
583 |
+
"step": 8200
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.57,
|
587 |
+
"grad_norm": 1.2630648612976074,
|
588 |
+
"learning_rate": 9.962476377173811e-06,
|
589 |
+
"loss": 1.0876,
|
590 |
+
"step": 8300
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.58,
|
594 |
+
"grad_norm": 1.2019109725952148,
|
595 |
+
"learning_rate": 9.961339297694231e-06,
|
596 |
+
"loss": 1.1205,
|
597 |
+
"step": 8400
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.59,
|
601 |
+
"grad_norm": 1.5144940614700317,
|
602 |
+
"learning_rate": 9.96020221821465e-06,
|
603 |
+
"loss": 1.0736,
|
604 |
+
"step": 8500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.6,
|
608 |
+
"grad_norm": 1.3178256750106812,
|
609 |
+
"learning_rate": 9.959065138735068e-06,
|
610 |
+
"loss": 1.0578,
|
611 |
+
"step": 8600
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.6,
|
615 |
+
"grad_norm": 1.9414783716201782,
|
616 |
+
"learning_rate": 9.957928059255486e-06,
|
617 |
+
"loss": 1.0648,
|
618 |
+
"step": 8700
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.61,
|
622 |
+
"grad_norm": 1.009035587310791,
|
623 |
+
"learning_rate": 9.956790979775906e-06,
|
624 |
+
"loss": 1.1005,
|
625 |
+
"step": 8800
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.62,
|
629 |
+
"grad_norm": 2.1268045902252197,
|
630 |
+
"learning_rate": 9.955653900296324e-06,
|
631 |
+
"loss": 1.0857,
|
632 |
+
"step": 8900
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.62,
|
636 |
+
"grad_norm": 1.950700283050537,
|
637 |
+
"learning_rate": 9.954516820816742e-06,
|
638 |
+
"loss": 1.0715,
|
639 |
+
"step": 9000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.63,
|
643 |
+
"grad_norm": 1.882338047027588,
|
644 |
+
"learning_rate": 9.953379741337162e-06,
|
645 |
+
"loss": 1.0584,
|
646 |
+
"step": 9100
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.64,
|
650 |
+
"grad_norm": 2.4511005878448486,
|
651 |
+
"learning_rate": 9.95224266185758e-06,
|
652 |
+
"loss": 1.1142,
|
653 |
+
"step": 9200
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.64,
|
657 |
+
"grad_norm": 1.4707541465759277,
|
658 |
+
"learning_rate": 9.951105582377998e-06,
|
659 |
+
"loss": 1.0862,
|
660 |
+
"step": 9300
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.65,
|
664 |
+
"grad_norm": 0.9369533061981201,
|
665 |
+
"learning_rate": 9.949968502898416e-06,
|
666 |
+
"loss": 1.0902,
|
667 |
+
"step": 9400
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.66,
|
671 |
+
"grad_norm": 1.7777900695800781,
|
672 |
+
"learning_rate": 9.948831423418836e-06,
|
673 |
+
"loss": 1.0858,
|
674 |
+
"step": 9500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.66,
|
678 |
+
"grad_norm": 1.0641835927963257,
|
679 |
+
"learning_rate": 9.947694343939254e-06,
|
680 |
+
"loss": 1.0954,
|
681 |
+
"step": 9600
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.67,
|
685 |
+
"grad_norm": 2.4711039066314697,
|
686 |
+
"learning_rate": 9.946557264459673e-06,
|
687 |
+
"loss": 1.052,
|
688 |
+
"step": 9700
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.68,
|
692 |
+
"grad_norm": 1.4093924760818481,
|
693 |
+
"learning_rate": 9.945420184980091e-06,
|
694 |
+
"loss": 1.0951,
|
695 |
+
"step": 9800
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.69,
|
699 |
+
"grad_norm": 1.1232469081878662,
|
700 |
+
"learning_rate": 9.944283105500509e-06,
|
701 |
+
"loss": 1.0856,
|
702 |
+
"step": 9900
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.69,
|
706 |
+
"grad_norm": 1.0345300436019897,
|
707 |
+
"learning_rate": 9.943146026020927e-06,
|
708 |
+
"loss": 1.0577,
|
709 |
+
"step": 10000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.7,
|
713 |
+
"grad_norm": 1.1365901231765747,
|
714 |
+
"learning_rate": 9.942008946541345e-06,
|
715 |
+
"loss": 1.0579,
|
716 |
+
"step": 10100
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.71,
|
720 |
+
"grad_norm": 0.9016490578651428,
|
721 |
+
"learning_rate": 9.940871867061764e-06,
|
722 |
+
"loss": 1.0661,
|
723 |
+
"step": 10200
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.71,
|
727 |
+
"grad_norm": 1.1943278312683105,
|
728 |
+
"learning_rate": 9.939734787582184e-06,
|
729 |
+
"loss": 1.0778,
|
730 |
+
"step": 10300
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.72,
|
734 |
+
"grad_norm": 1.2874445915222168,
|
735 |
+
"learning_rate": 9.938597708102602e-06,
|
736 |
+
"loss": 1.1045,
|
737 |
+
"step": 10400
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.73,
|
741 |
+
"grad_norm": 1.7601507902145386,
|
742 |
+
"learning_rate": 9.93746062862302e-06,
|
743 |
+
"loss": 1.0521,
|
744 |
+
"step": 10500
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.73,
|
748 |
+
"grad_norm": 1.2193288803100586,
|
749 |
+
"learning_rate": 9.936323549143438e-06,
|
750 |
+
"loss": 1.0855,
|
751 |
+
"step": 10600
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.74,
|
755 |
+
"grad_norm": 1.0256872177124023,
|
756 |
+
"learning_rate": 9.935186469663858e-06,
|
757 |
+
"loss": 1.0768,
|
758 |
+
"step": 10700
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.75,
|
762 |
+
"grad_norm": 1.682442307472229,
|
763 |
+
"learning_rate": 9.934049390184276e-06,
|
764 |
+
"loss": 1.0736,
|
765 |
+
"step": 10800
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.75,
|
769 |
+
"grad_norm": 1.5826842784881592,
|
770 |
+
"learning_rate": 9.932912310704694e-06,
|
771 |
+
"loss": 1.0808,
|
772 |
+
"step": 10900
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.76,
|
776 |
+
"grad_norm": 1.4181288480758667,
|
777 |
+
"learning_rate": 9.931775231225113e-06,
|
778 |
+
"loss": 1.0662,
|
779 |
+
"step": 11000
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.77,
|
783 |
+
"grad_norm": 1.71955144405365,
|
784 |
+
"learning_rate": 9.930638151745532e-06,
|
785 |
+
"loss": 1.0682,
|
786 |
+
"step": 11100
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.78,
|
790 |
+
"grad_norm": 1.7443710565567017,
|
791 |
+
"learning_rate": 9.92950107226595e-06,
|
792 |
+
"loss": 1.044,
|
793 |
+
"step": 11200
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.78,
|
797 |
+
"grad_norm": 1.341009259223938,
|
798 |
+
"learning_rate": 9.928363992786369e-06,
|
799 |
+
"loss": 1.0687,
|
800 |
+
"step": 11300
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.79,
|
804 |
+
"grad_norm": 2.1241507530212402,
|
805 |
+
"learning_rate": 9.927226913306787e-06,
|
806 |
+
"loss": 1.0528,
|
807 |
+
"step": 11400
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.8,
|
811 |
+
"grad_norm": 1.1826814413070679,
|
812 |
+
"learning_rate": 9.926089833827207e-06,
|
813 |
+
"loss": 1.0714,
|
814 |
+
"step": 11500
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.8,
|
818 |
+
"grad_norm": 2.4907405376434326,
|
819 |
+
"learning_rate": 9.924952754347625e-06,
|
820 |
+
"loss": 1.0646,
|
821 |
+
"step": 11600
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.81,
|
825 |
+
"grad_norm": 0.9846525192260742,
|
826 |
+
"learning_rate": 9.923815674868043e-06,
|
827 |
+
"loss": 1.0336,
|
828 |
+
"step": 11700
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.82,
|
832 |
+
"grad_norm": 1.6937077045440674,
|
833 |
+
"learning_rate": 9.922678595388461e-06,
|
834 |
+
"loss": 1.0621,
|
835 |
+
"step": 11800
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.82,
|
839 |
+
"grad_norm": 1.8943909406661987,
|
840 |
+
"learning_rate": 9.92154151590888e-06,
|
841 |
+
"loss": 1.0664,
|
842 |
+
"step": 11900
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.83,
|
846 |
+
"grad_norm": 1.0186892747879028,
|
847 |
+
"learning_rate": 9.920404436429298e-06,
|
848 |
+
"loss": 1.0676,
|
849 |
+
"step": 12000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.84,
|
853 |
+
"grad_norm": 1.0398705005645752,
|
854 |
+
"learning_rate": 9.919267356949716e-06,
|
855 |
+
"loss": 1.0734,
|
856 |
+
"step": 12100
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.84,
|
860 |
+
"grad_norm": 0.8972682356834412,
|
861 |
+
"learning_rate": 9.918130277470134e-06,
|
862 |
+
"loss": 1.0375,
|
863 |
+
"step": 12200
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.85,
|
867 |
+
"grad_norm": 1.8658572435379028,
|
868 |
+
"learning_rate": 9.916993197990554e-06,
|
869 |
+
"loss": 1.0504,
|
870 |
+
"step": 12300
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.86,
|
874 |
+
"grad_norm": 0.9073976874351501,
|
875 |
+
"learning_rate": 9.915856118510972e-06,
|
876 |
+
"loss": 1.067,
|
877 |
+
"step": 12400
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.87,
|
881 |
+
"grad_norm": 0.9834826588630676,
|
882 |
+
"learning_rate": 9.91471903903139e-06,
|
883 |
+
"loss": 1.0523,
|
884 |
+
"step": 12500
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.87,
|
888 |
+
"grad_norm": 1.1358979940414429,
|
889 |
+
"learning_rate": 9.913581959551809e-06,
|
890 |
+
"loss": 1.0493,
|
891 |
+
"step": 12600
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.88,
|
895 |
+
"grad_norm": 1.9334028959274292,
|
896 |
+
"learning_rate": 9.912444880072229e-06,
|
897 |
+
"loss": 1.0238,
|
898 |
+
"step": 12700
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.89,
|
902 |
+
"grad_norm": 1.7353044748306274,
|
903 |
+
"learning_rate": 9.911307800592647e-06,
|
904 |
+
"loss": 1.0596,
|
905 |
+
"step": 12800
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.89,
|
909 |
+
"grad_norm": 0.8831369280815125,
|
910 |
+
"learning_rate": 9.910170721113065e-06,
|
911 |
+
"loss": 1.0315,
|
912 |
+
"step": 12900
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.9,
|
916 |
+
"grad_norm": 1.3458607196807861,
|
917 |
+
"learning_rate": 9.909033641633485e-06,
|
918 |
+
"loss": 1.0433,
|
919 |
+
"step": 13000
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.91,
|
923 |
+
"grad_norm": 1.3131276369094849,
|
924 |
+
"learning_rate": 9.907896562153903e-06,
|
925 |
+
"loss": 1.0351,
|
926 |
+
"step": 13100
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.91,
|
930 |
+
"grad_norm": 1.3655180931091309,
|
931 |
+
"learning_rate": 9.906759482674321e-06,
|
932 |
+
"loss": 1.0285,
|
933 |
+
"step": 13200
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.92,
|
937 |
+
"grad_norm": 0.9609765410423279,
|
938 |
+
"learning_rate": 9.90562240319474e-06,
|
939 |
+
"loss": 1.0576,
|
940 |
+
"step": 13300
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.93,
|
944 |
+
"grad_norm": 1.7138615846633911,
|
945 |
+
"learning_rate": 9.904485323715158e-06,
|
946 |
+
"loss": 1.0398,
|
947 |
+
"step": 13400
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.93,
|
951 |
+
"grad_norm": 1.7960714101791382,
|
952 |
+
"learning_rate": 9.903348244235577e-06,
|
953 |
+
"loss": 1.0295,
|
954 |
+
"step": 13500
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.94,
|
958 |
+
"grad_norm": 1.0612984895706177,
|
959 |
+
"learning_rate": 9.902211164755996e-06,
|
960 |
+
"loss": 1.0227,
|
961 |
+
"step": 13600
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.95,
|
965 |
+
"grad_norm": 1.1201436519622803,
|
966 |
+
"learning_rate": 9.901074085276414e-06,
|
967 |
+
"loss": 1.0059,
|
968 |
+
"step": 13700
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.96,
|
972 |
+
"grad_norm": 1.7197813987731934,
|
973 |
+
"learning_rate": 9.899937005796832e-06,
|
974 |
+
"loss": 1.0301,
|
975 |
+
"step": 13800
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.96,
|
979 |
+
"grad_norm": 0.7565794587135315,
|
980 |
+
"learning_rate": 9.89879992631725e-06,
|
981 |
+
"loss": 1.0067,
|
982 |
+
"step": 13900
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.97,
|
986 |
+
"grad_norm": 1.3532627820968628,
|
987 |
+
"learning_rate": 9.897662846837668e-06,
|
988 |
+
"loss": 1.0246,
|
989 |
+
"step": 14000
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.98,
|
993 |
+
"grad_norm": 2.138787031173706,
|
994 |
+
"learning_rate": 9.896525767358087e-06,
|
995 |
+
"loss": 1.0198,
|
996 |
+
"step": 14100
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.98,
|
1000 |
+
"grad_norm": 1.3896641731262207,
|
1001 |
+
"learning_rate": 9.895388687878506e-06,
|
1002 |
+
"loss": 1.0398,
|
1003 |
+
"step": 14200
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.99,
|
1007 |
+
"grad_norm": 1.6460121870040894,
|
1008 |
+
"learning_rate": 9.894251608398925e-06,
|
1009 |
+
"loss": 1.0256,
|
1010 |
+
"step": 14300
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 1.0,
|
1014 |
+
"grad_norm": 1.1678521633148193,
|
1015 |
+
"learning_rate": 9.893114528919343e-06,
|
1016 |
+
"loss": 1.0554,
|
1017 |
+
"step": 14400
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 1.0,
|
1021 |
+
"grad_norm": 0.9618099331855774,
|
1022 |
+
"learning_rate": 9.891977449439761e-06,
|
1023 |
+
"loss": 0.9914,
|
1024 |
+
"step": 14500
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 1.01,
|
1028 |
+
"grad_norm": 1.1903871297836304,
|
1029 |
+
"learning_rate": 9.890840369960181e-06,
|
1030 |
+
"loss": 0.9472,
|
1031 |
+
"step": 14600
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 1.02,
|
1035 |
+
"grad_norm": 1.767334222793579,
|
1036 |
+
"learning_rate": 9.889703290480599e-06,
|
1037 |
+
"loss": 0.9224,
|
1038 |
+
"step": 14700
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 1.02,
|
1042 |
+
"grad_norm": 1.2896144390106201,
|
1043 |
+
"learning_rate": 9.888566211001017e-06,
|
1044 |
+
"loss": 0.9282,
|
1045 |
+
"step": 14800
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 1.03,
|
1049 |
+
"grad_norm": 1.1667003631591797,
|
1050 |
+
"learning_rate": 9.887429131521435e-06,
|
1051 |
+
"loss": 0.937,
|
1052 |
+
"step": 14900
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 1.04,
|
1056 |
+
"grad_norm": 2.0861318111419678,
|
1057 |
+
"learning_rate": 9.886292052041855e-06,
|
1058 |
+
"loss": 0.9305,
|
1059 |
+
"step": 15000
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 1.04,
|
1063 |
+
"grad_norm": 1.5151538848876953,
|
1064 |
+
"learning_rate": 9.885154972562274e-06,
|
1065 |
+
"loss": 0.9057,
|
1066 |
+
"step": 15100
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 1.05,
|
1070 |
+
"grad_norm": 1.0254782438278198,
|
1071 |
+
"learning_rate": 9.884017893082692e-06,
|
1072 |
+
"loss": 0.9261,
|
1073 |
+
"step": 15200
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 1.06,
|
1077 |
+
"grad_norm": 1.060323715209961,
|
1078 |
+
"learning_rate": 9.88288081360311e-06,
|
1079 |
+
"loss": 0.9385,
|
1080 |
+
"step": 15300
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.07,
|
1084 |
+
"grad_norm": 2.0122482776641846,
|
1085 |
+
"learning_rate": 9.881743734123528e-06,
|
1086 |
+
"loss": 0.9131,
|
1087 |
+
"step": 15400
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 1.07,
|
1091 |
+
"grad_norm": 0.8877888917922974,
|
1092 |
+
"learning_rate": 9.880606654643948e-06,
|
1093 |
+
"loss": 0.9137,
|
1094 |
+
"step": 15500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 1.08,
|
1098 |
+
"grad_norm": 1.576613187789917,
|
1099 |
+
"learning_rate": 9.879469575164366e-06,
|
1100 |
+
"loss": 0.9269,
|
1101 |
+
"step": 15600
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 1.09,
|
1105 |
+
"grad_norm": 1.2704845666885376,
|
1106 |
+
"learning_rate": 9.878332495684784e-06,
|
1107 |
+
"loss": 0.9551,
|
1108 |
+
"step": 15700
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 1.09,
|
1112 |
+
"grad_norm": 1.7557117938995361,
|
1113 |
+
"learning_rate": 9.877195416205203e-06,
|
1114 |
+
"loss": 0.9283,
|
1115 |
+
"step": 15800
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 1.1,
|
1119 |
+
"grad_norm": 1.1681592464447021,
|
1120 |
+
"learning_rate": 9.87605833672562e-06,
|
1121 |
+
"loss": 0.9225,
|
1122 |
+
"step": 15900
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 1.11,
|
1126 |
+
"grad_norm": 1.4231480360031128,
|
1127 |
+
"learning_rate": 9.874921257246039e-06,
|
1128 |
+
"loss": 0.9428,
|
1129 |
+
"step": 16000
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 1.11,
|
1133 |
+
"grad_norm": 1.051456332206726,
|
1134 |
+
"learning_rate": 9.873784177766457e-06,
|
1135 |
+
"loss": 0.9181,
|
1136 |
+
"step": 16100
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 1.12,
|
1140 |
+
"grad_norm": 0.7242355942726135,
|
1141 |
+
"learning_rate": 9.872647098286877e-06,
|
1142 |
+
"loss": 0.9314,
|
1143 |
+
"step": 16200
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 1.13,
|
1147 |
+
"grad_norm": 0.947436511516571,
|
1148 |
+
"learning_rate": 9.871510018807295e-06,
|
1149 |
+
"loss": 0.9006,
|
1150 |
+
"step": 16300
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 1.13,
|
1154 |
+
"grad_norm": 1.7714190483093262,
|
1155 |
+
"learning_rate": 9.870372939327713e-06,
|
1156 |
+
"loss": 0.9091,
|
1157 |
+
"step": 16400
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 1.14,
|
1161 |
+
"grad_norm": 1.1276748180389404,
|
1162 |
+
"learning_rate": 9.869235859848132e-06,
|
1163 |
+
"loss": 0.9062,
|
1164 |
+
"step": 16500
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 1.15,
|
1168 |
+
"grad_norm": 0.9799456000328064,
|
1169 |
+
"learning_rate": 9.868098780368551e-06,
|
1170 |
+
"loss": 0.9307,
|
1171 |
+
"step": 16600
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 1.16,
|
1175 |
+
"grad_norm": 1.2444039583206177,
|
1176 |
+
"learning_rate": 9.86696170088897e-06,
|
1177 |
+
"loss": 0.9035,
|
1178 |
+
"step": 16700
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 1.16,
|
1182 |
+
"grad_norm": 1.5004302263259888,
|
1183 |
+
"learning_rate": 9.865824621409388e-06,
|
1184 |
+
"loss": 0.9264,
|
1185 |
+
"step": 16800
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 1.17,
|
1189 |
+
"grad_norm": 0.9542568922042847,
|
1190 |
+
"learning_rate": 9.864687541929808e-06,
|
1191 |
+
"loss": 0.9377,
|
1192 |
+
"step": 16900
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 1.18,
|
1196 |
+
"grad_norm": 1.1164984703063965,
|
1197 |
+
"learning_rate": 9.863550462450226e-06,
|
1198 |
+
"loss": 0.9018,
|
1199 |
+
"step": 17000
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 1.18,
|
1203 |
+
"grad_norm": 1.2734311819076538,
|
1204 |
+
"learning_rate": 9.862413382970644e-06,
|
1205 |
+
"loss": 0.9087,
|
1206 |
+
"step": 17100
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 1.19,
|
1210 |
+
"grad_norm": 0.9980836510658264,
|
1211 |
+
"learning_rate": 9.861276303491062e-06,
|
1212 |
+
"loss": 0.9053,
|
1213 |
+
"step": 17200
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 1.2,
|
1217 |
+
"grad_norm": 1.1885040998458862,
|
1218 |
+
"learning_rate": 9.86013922401148e-06,
|
1219 |
+
"loss": 0.9205,
|
1220 |
+
"step": 17300
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 1.2,
|
1224 |
+
"grad_norm": 2.014282464981079,
|
1225 |
+
"learning_rate": 9.859002144531899e-06,
|
1226 |
+
"loss": 0.8998,
|
1227 |
+
"step": 17400
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 1.21,
|
1231 |
+
"grad_norm": 1.1313024759292603,
|
1232 |
+
"learning_rate": 9.857865065052319e-06,
|
1233 |
+
"loss": 0.9457,
|
1234 |
+
"step": 17500
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 1.22,
|
1238 |
+
"grad_norm": 1.415302038192749,
|
1239 |
+
"learning_rate": 9.856727985572737e-06,
|
1240 |
+
"loss": 0.8939,
|
1241 |
+
"step": 17600
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 1.22,
|
1245 |
+
"grad_norm": 1.4687055349349976,
|
1246 |
+
"learning_rate": 9.855590906093155e-06,
|
1247 |
+
"loss": 0.89,
|
1248 |
+
"step": 17700
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 1.23,
|
1252 |
+
"grad_norm": 1.1880871057510376,
|
1253 |
+
"learning_rate": 9.854453826613573e-06,
|
1254 |
+
"loss": 0.9006,
|
1255 |
+
"step": 17800
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 1.24,
|
1259 |
+
"grad_norm": 1.7778316736221313,
|
1260 |
+
"learning_rate": 9.853316747133991e-06,
|
1261 |
+
"loss": 0.8958,
|
1262 |
+
"step": 17900
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 1.25,
|
1266 |
+
"grad_norm": 2.280698299407959,
|
1267 |
+
"learning_rate": 9.85217966765441e-06,
|
1268 |
+
"loss": 0.9095,
|
1269 |
+
"step": 18000
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 1.25,
|
1273 |
+
"grad_norm": 1.3831247091293335,
|
1274 |
+
"learning_rate": 9.85104258817483e-06,
|
1275 |
+
"loss": 0.8949,
|
1276 |
+
"step": 18100
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 1.26,
|
1280 |
+
"grad_norm": 1.5787330865859985,
|
1281 |
+
"learning_rate": 9.849905508695248e-06,
|
1282 |
+
"loss": 0.9068,
|
1283 |
+
"step": 18200
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 1.27,
|
1287 |
+
"grad_norm": 1.9541946649551392,
|
1288 |
+
"learning_rate": 9.848768429215666e-06,
|
1289 |
+
"loss": 0.9017,
|
1290 |
+
"step": 18300
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 1.27,
|
1294 |
+
"grad_norm": 1.1015405654907227,
|
1295 |
+
"learning_rate": 9.847631349736084e-06,
|
1296 |
+
"loss": 0.9105,
|
1297 |
+
"step": 18400
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 1.28,
|
1301 |
+
"grad_norm": 1.1862188577651978,
|
1302 |
+
"learning_rate": 9.846494270256504e-06,
|
1303 |
+
"loss": 0.9022,
|
1304 |
+
"step": 18500
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.29,
|
1308 |
+
"grad_norm": 1.726610541343689,
|
1309 |
+
"learning_rate": 9.845357190776922e-06,
|
1310 |
+
"loss": 0.8913,
|
1311 |
+
"step": 18600
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 1.29,
|
1315 |
+
"grad_norm": 2.2111854553222656,
|
1316 |
+
"learning_rate": 9.84422011129734e-06,
|
1317 |
+
"loss": 0.9308,
|
1318 |
+
"step": 18700
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 1.3,
|
1322 |
+
"grad_norm": 1.4199172258377075,
|
1323 |
+
"learning_rate": 9.843083031817758e-06,
|
1324 |
+
"loss": 0.9016,
|
1325 |
+
"step": 18800
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 1.31,
|
1329 |
+
"grad_norm": 1.193987250328064,
|
1330 |
+
"learning_rate": 9.841945952338178e-06,
|
1331 |
+
"loss": 0.9231,
|
1332 |
+
"step": 18900
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 1.31,
|
1336 |
+
"grad_norm": 1.3451498746871948,
|
1337 |
+
"learning_rate": 9.840808872858597e-06,
|
1338 |
+
"loss": 0.9353,
|
1339 |
+
"step": 19000
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 1.32,
|
1343 |
+
"grad_norm": 2.0807037353515625,
|
1344 |
+
"learning_rate": 9.839671793379015e-06,
|
1345 |
+
"loss": 0.89,
|
1346 |
+
"step": 19100
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 1.33,
|
1350 |
+
"grad_norm": 0.9238150119781494,
|
1351 |
+
"learning_rate": 9.838534713899433e-06,
|
1352 |
+
"loss": 0.899,
|
1353 |
+
"step": 19200
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 1.34,
|
1357 |
+
"grad_norm": 1.6666918992996216,
|
1358 |
+
"learning_rate": 9.837397634419851e-06,
|
1359 |
+
"loss": 0.895,
|
1360 |
+
"step": 19300
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 1.34,
|
1364 |
+
"grad_norm": 1.6730952262878418,
|
1365 |
+
"learning_rate": 9.83626055494027e-06,
|
1366 |
+
"loss": 0.9387,
|
1367 |
+
"step": 19400
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 1.35,
|
1371 |
+
"grad_norm": 1.3776484727859497,
|
1372 |
+
"learning_rate": 9.835123475460689e-06,
|
1373 |
+
"loss": 0.8894,
|
1374 |
+
"step": 19500
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 1.36,
|
1378 |
+
"grad_norm": 1.1120022535324097,
|
1379 |
+
"learning_rate": 9.833986395981107e-06,
|
1380 |
+
"loss": 0.9263,
|
1381 |
+
"step": 19600
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 1.36,
|
1385 |
+
"grad_norm": 1.3148831129074097,
|
1386 |
+
"learning_rate": 9.832849316501526e-06,
|
1387 |
+
"loss": 0.9168,
|
1388 |
+
"step": 19700
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.37,
|
1392 |
+
"grad_norm": 0.9045352935791016,
|
1393 |
+
"learning_rate": 9.831712237021944e-06,
|
1394 |
+
"loss": 0.925,
|
1395 |
+
"step": 19800
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 1.38,
|
1399 |
+
"grad_norm": 1.147387981414795,
|
1400 |
+
"learning_rate": 9.830575157542362e-06,
|
1401 |
+
"loss": 0.9148,
|
1402 |
+
"step": 19900
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 1.38,
|
1406 |
+
"grad_norm": 0.984752893447876,
|
1407 |
+
"learning_rate": 9.82943807806278e-06,
|
1408 |
+
"loss": 0.9066,
|
1409 |
+
"step": 20000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 1.39,
|
1413 |
+
"grad_norm": 1.0837643146514893,
|
1414 |
+
"learning_rate": 9.8283009985832e-06,
|
1415 |
+
"loss": 0.9082,
|
1416 |
+
"step": 20100
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 1.4,
|
1420 |
+
"grad_norm": 1.017741322517395,
|
1421 |
+
"learning_rate": 9.827163919103618e-06,
|
1422 |
+
"loss": 0.9204,
|
1423 |
+
"step": 20200
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 1.4,
|
1427 |
+
"grad_norm": 1.281540036201477,
|
1428 |
+
"learning_rate": 9.826026839624036e-06,
|
1429 |
+
"loss": 0.8799,
|
1430 |
+
"step": 20300
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 1.41,
|
1434 |
+
"grad_norm": 2.103954792022705,
|
1435 |
+
"learning_rate": 9.824889760144455e-06,
|
1436 |
+
"loss": 0.9065,
|
1437 |
+
"step": 20400
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 1.42,
|
1441 |
+
"grad_norm": 1.3087769746780396,
|
1442 |
+
"learning_rate": 9.823752680664874e-06,
|
1443 |
+
"loss": 0.8975,
|
1444 |
+
"step": 20500
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 1.43,
|
1448 |
+
"grad_norm": 3.2738139629364014,
|
1449 |
+
"learning_rate": 9.822615601185293e-06,
|
1450 |
+
"loss": 0.9209,
|
1451 |
+
"step": 20600
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 1.43,
|
1455 |
+
"grad_norm": 1.9032375812530518,
|
1456 |
+
"learning_rate": 9.82147852170571e-06,
|
1457 |
+
"loss": 0.9078,
|
1458 |
+
"step": 20700
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 1.44,
|
1462 |
+
"grad_norm": 0.9968279004096985,
|
1463 |
+
"learning_rate": 9.82034144222613e-06,
|
1464 |
+
"loss": 0.9237,
|
1465 |
+
"step": 20800
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 1.45,
|
1469 |
+
"grad_norm": 1.273147702217102,
|
1470 |
+
"learning_rate": 9.819204362746549e-06,
|
1471 |
+
"loss": 0.9031,
|
1472 |
+
"step": 20900
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 1.45,
|
1476 |
+
"grad_norm": 1.0796046257019043,
|
1477 |
+
"learning_rate": 9.818067283266967e-06,
|
1478 |
+
"loss": 0.8912,
|
1479 |
+
"step": 21000
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 1.46,
|
1483 |
+
"grad_norm": 1.3366023302078247,
|
1484 |
+
"learning_rate": 9.816930203787385e-06,
|
1485 |
+
"loss": 0.9101,
|
1486 |
+
"step": 21100
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 1.47,
|
1490 |
+
"grad_norm": 1.4351803064346313,
|
1491 |
+
"learning_rate": 9.815793124307803e-06,
|
1492 |
+
"loss": 0.8803,
|
1493 |
+
"step": 21200
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 1.47,
|
1497 |
+
"grad_norm": 0.9139238595962524,
|
1498 |
+
"learning_rate": 9.814656044828222e-06,
|
1499 |
+
"loss": 0.913,
|
1500 |
+
"step": 21300
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 1.48,
|
1504 |
+
"grad_norm": 1.4106611013412476,
|
1505 |
+
"learning_rate": 9.81351896534864e-06,
|
1506 |
+
"loss": 0.9046,
|
1507 |
+
"step": 21400
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 1.49,
|
1511 |
+
"grad_norm": 1.4196314811706543,
|
1512 |
+
"learning_rate": 9.81238188586906e-06,
|
1513 |
+
"loss": 0.9064,
|
1514 |
+
"step": 21500
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.49,
|
1518 |
+
"grad_norm": 2.133652687072754,
|
1519 |
+
"learning_rate": 9.811244806389478e-06,
|
1520 |
+
"loss": 0.9176,
|
1521 |
+
"step": 21600
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 1.5,
|
1525 |
+
"grad_norm": 1.1416988372802734,
|
1526 |
+
"learning_rate": 9.810107726909896e-06,
|
1527 |
+
"loss": 0.8887,
|
1528 |
+
"step": 21700
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 1.51,
|
1532 |
+
"grad_norm": 1.0987539291381836,
|
1533 |
+
"learning_rate": 9.808970647430314e-06,
|
1534 |
+
"loss": 0.8923,
|
1535 |
+
"step": 21800
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 1.52,
|
1539 |
+
"grad_norm": 1.660126805305481,
|
1540 |
+
"learning_rate": 9.807833567950732e-06,
|
1541 |
+
"loss": 0.8997,
|
1542 |
+
"step": 21900
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 1.52,
|
1546 |
+
"grad_norm": 1.923581838607788,
|
1547 |
+
"learning_rate": 9.806696488471152e-06,
|
1548 |
+
"loss": 0.9102,
|
1549 |
+
"step": 22000
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 1.53,
|
1553 |
+
"grad_norm": 2.376243829727173,
|
1554 |
+
"learning_rate": 9.80555940899157e-06,
|
1555 |
+
"loss": 0.9137,
|
1556 |
+
"step": 22100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.54,
|
1560 |
+
"grad_norm": 1.3887842893600464,
|
1561 |
+
"learning_rate": 9.804422329511989e-06,
|
1562 |
+
"loss": 0.9365,
|
1563 |
+
"step": 22200
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 1.54,
|
1567 |
+
"grad_norm": 1.7829182147979736,
|
1568 |
+
"learning_rate": 9.803285250032407e-06,
|
1569 |
+
"loss": 0.8967,
|
1570 |
+
"step": 22300
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 1.55,
|
1574 |
+
"grad_norm": 2.1731655597686768,
|
1575 |
+
"learning_rate": 9.802148170552827e-06,
|
1576 |
+
"loss": 0.8714,
|
1577 |
+
"step": 22400
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 1.56,
|
1581 |
+
"grad_norm": 1.6525793075561523,
|
1582 |
+
"learning_rate": 9.801011091073245e-06,
|
1583 |
+
"loss": 0.9253,
|
1584 |
+
"step": 22500
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 1.56,
|
1588 |
+
"grad_norm": 1.4795466661453247,
|
1589 |
+
"learning_rate": 9.799874011593663e-06,
|
1590 |
+
"loss": 0.8951,
|
1591 |
+
"step": 22600
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 1.57,
|
1595 |
+
"grad_norm": 1.6822344064712524,
|
1596 |
+
"learning_rate": 9.798736932114081e-06,
|
1597 |
+
"loss": 0.9116,
|
1598 |
+
"step": 22700
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 1.58,
|
1602 |
+
"grad_norm": 1.9475494623184204,
|
1603 |
+
"learning_rate": 9.797599852634501e-06,
|
1604 |
+
"loss": 0.9008,
|
1605 |
+
"step": 22800
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 1.58,
|
1609 |
+
"grad_norm": 1.5294418334960938,
|
1610 |
+
"learning_rate": 9.79646277315492e-06,
|
1611 |
+
"loss": 0.8961,
|
1612 |
+
"step": 22900
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 1.59,
|
1616 |
+
"grad_norm": 1.5802712440490723,
|
1617 |
+
"learning_rate": 9.795325693675338e-06,
|
1618 |
+
"loss": 0.9188,
|
1619 |
+
"step": 23000
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 1.6,
|
1623 |
+
"grad_norm": 1.4192116260528564,
|
1624 |
+
"learning_rate": 9.794188614195756e-06,
|
1625 |
+
"loss": 0.8709,
|
1626 |
+
"step": 23100
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 1.61,
|
1630 |
+
"grad_norm": 0.9766781330108643,
|
1631 |
+
"learning_rate": 9.793051534716174e-06,
|
1632 |
+
"loss": 0.8785,
|
1633 |
+
"step": 23200
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 1.61,
|
1637 |
+
"grad_norm": 1.2057669162750244,
|
1638 |
+
"learning_rate": 9.791914455236592e-06,
|
1639 |
+
"loss": 0.9029,
|
1640 |
+
"step": 23300
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 1.62,
|
1644 |
+
"grad_norm": 1.041031837463379,
|
1645 |
+
"learning_rate": 9.790777375757012e-06,
|
1646 |
+
"loss": 0.9188,
|
1647 |
+
"step": 23400
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 1.63,
|
1651 |
+
"grad_norm": 1.1729304790496826,
|
1652 |
+
"learning_rate": 9.78964029627743e-06,
|
1653 |
+
"loss": 0.8952,
|
1654 |
+
"step": 23500
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 1.63,
|
1658 |
+
"grad_norm": 1.5667890310287476,
|
1659 |
+
"learning_rate": 9.788503216797848e-06,
|
1660 |
+
"loss": 0.9055,
|
1661 |
+
"step": 23600
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 1.64,
|
1665 |
+
"grad_norm": 1.3759227991104126,
|
1666 |
+
"learning_rate": 9.787366137318267e-06,
|
1667 |
+
"loss": 0.8754,
|
1668 |
+
"step": 23700
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 1.65,
|
1672 |
+
"grad_norm": 0.9667372107505798,
|
1673 |
+
"learning_rate": 9.786229057838685e-06,
|
1674 |
+
"loss": 0.8957,
|
1675 |
+
"step": 23800
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 1.65,
|
1679 |
+
"grad_norm": 0.901483952999115,
|
1680 |
+
"learning_rate": 9.785091978359103e-06,
|
1681 |
+
"loss": 0.8859,
|
1682 |
+
"step": 23900
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 1.66,
|
1686 |
+
"grad_norm": 1.2951709032058716,
|
1687 |
+
"learning_rate": 9.783954898879523e-06,
|
1688 |
+
"loss": 0.8729,
|
1689 |
+
"step": 24000
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 1.67,
|
1693 |
+
"grad_norm": 1.6786147356033325,
|
1694 |
+
"learning_rate": 9.782817819399941e-06,
|
1695 |
+
"loss": 0.8855,
|
1696 |
+
"step": 24100
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 1.67,
|
1700 |
+
"grad_norm": 1.43426513671875,
|
1701 |
+
"learning_rate": 9.78168073992036e-06,
|
1702 |
+
"loss": 0.9136,
|
1703 |
+
"step": 24200
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 1.68,
|
1707 |
+
"grad_norm": 2.1875064373016357,
|
1708 |
+
"learning_rate": 9.780543660440778e-06,
|
1709 |
+
"loss": 0.8972,
|
1710 |
+
"step": 24300
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 1.69,
|
1714 |
+
"grad_norm": 1.5822653770446777,
|
1715 |
+
"learning_rate": 9.779406580961197e-06,
|
1716 |
+
"loss": 0.8803,
|
1717 |
+
"step": 24400
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 1.7,
|
1721 |
+
"grad_norm": 1.4301044940948486,
|
1722 |
+
"learning_rate": 9.778269501481616e-06,
|
1723 |
+
"loss": 0.9092,
|
1724 |
+
"step": 24500
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.7,
|
1728 |
+
"grad_norm": 1.7241953611373901,
|
1729 |
+
"learning_rate": 9.777132422002034e-06,
|
1730 |
+
"loss": 0.888,
|
1731 |
+
"step": 24600
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 1.71,
|
1735 |
+
"grad_norm": 1.6373679637908936,
|
1736 |
+
"learning_rate": 9.775995342522454e-06,
|
1737 |
+
"loss": 0.9205,
|
1738 |
+
"step": 24700
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 1.72,
|
1742 |
+
"grad_norm": 2.0019736289978027,
|
1743 |
+
"learning_rate": 9.774858263042872e-06,
|
1744 |
+
"loss": 0.918,
|
1745 |
+
"step": 24800
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 1.72,
|
1749 |
+
"grad_norm": 0.8956846594810486,
|
1750 |
+
"learning_rate": 9.77372118356329e-06,
|
1751 |
+
"loss": 0.8772,
|
1752 |
+
"step": 24900
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 1.73,
|
1756 |
+
"grad_norm": 1.0477770566940308,
|
1757 |
+
"learning_rate": 9.772584104083708e-06,
|
1758 |
+
"loss": 0.9064,
|
1759 |
+
"step": 25000
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 1.74,
|
1763 |
+
"grad_norm": 1.1832882165908813,
|
1764 |
+
"learning_rate": 9.771447024604126e-06,
|
1765 |
+
"loss": 0.8985,
|
1766 |
+
"step": 25100
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 1.74,
|
1770 |
+
"grad_norm": 1.3693238496780396,
|
1771 |
+
"learning_rate": 9.770309945124545e-06,
|
1772 |
+
"loss": 0.885,
|
1773 |
+
"step": 25200
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 1.75,
|
1777 |
+
"grad_norm": 1.1425739526748657,
|
1778 |
+
"learning_rate": 9.769172865644963e-06,
|
1779 |
+
"loss": 0.9147,
|
1780 |
+
"step": 25300
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 1.76,
|
1784 |
+
"grad_norm": 1.2872096300125122,
|
1785 |
+
"learning_rate": 9.768035786165383e-06,
|
1786 |
+
"loss": 0.8638,
|
1787 |
+
"step": 25400
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 1.76,
|
1791 |
+
"grad_norm": 1.7341827154159546,
|
1792 |
+
"learning_rate": 9.766898706685801e-06,
|
1793 |
+
"loss": 0.9283,
|
1794 |
+
"step": 25500
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 1.77,
|
1798 |
+
"grad_norm": 1.4707129001617432,
|
1799 |
+
"learning_rate": 9.765761627206219e-06,
|
1800 |
+
"loss": 0.8996,
|
1801 |
+
"step": 25600
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 1.78,
|
1805 |
+
"grad_norm": 1.0794835090637207,
|
1806 |
+
"learning_rate": 9.764624547726637e-06,
|
1807 |
+
"loss": 0.8979,
|
1808 |
+
"step": 25700
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.79,
|
1812 |
+
"grad_norm": 1.6539565324783325,
|
1813 |
+
"learning_rate": 9.763487468247055e-06,
|
1814 |
+
"loss": 0.8903,
|
1815 |
+
"step": 25800
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 1.79,
|
1819 |
+
"grad_norm": 0.811819314956665,
|
1820 |
+
"learning_rate": 9.762350388767475e-06,
|
1821 |
+
"loss": 0.8835,
|
1822 |
+
"step": 25900
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 1.8,
|
1826 |
+
"grad_norm": 1.258812665939331,
|
1827 |
+
"learning_rate": 9.761213309287894e-06,
|
1828 |
+
"loss": 0.8811,
|
1829 |
+
"step": 26000
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 1.81,
|
1833 |
+
"grad_norm": 1.6438548564910889,
|
1834 |
+
"learning_rate": 9.760076229808312e-06,
|
1835 |
+
"loss": 0.8932,
|
1836 |
+
"step": 26100
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 1.81,
|
1840 |
+
"grad_norm": 2.2002038955688477,
|
1841 |
+
"learning_rate": 9.75893915032873e-06,
|
1842 |
+
"loss": 0.899,
|
1843 |
+
"step": 26200
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 1.82,
|
1847 |
+
"grad_norm": 1.6393821239471436,
|
1848 |
+
"learning_rate": 9.75780207084915e-06,
|
1849 |
+
"loss": 0.9077,
|
1850 |
+
"step": 26300
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.83,
|
1854 |
+
"grad_norm": 1.0851778984069824,
|
1855 |
+
"learning_rate": 9.756664991369568e-06,
|
1856 |
+
"loss": 0.8809,
|
1857 |
+
"step": 26400
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 1.83,
|
1861 |
+
"grad_norm": 1.0167458057403564,
|
1862 |
+
"learning_rate": 9.755527911889986e-06,
|
1863 |
+
"loss": 0.8785,
|
1864 |
+
"step": 26500
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 1.84,
|
1868 |
+
"grad_norm": 1.453165888786316,
|
1869 |
+
"learning_rate": 9.754390832410404e-06,
|
1870 |
+
"loss": 0.8669,
|
1871 |
+
"step": 26600
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.85,
|
1875 |
+
"grad_norm": 1.2992256879806519,
|
1876 |
+
"learning_rate": 9.753253752930824e-06,
|
1877 |
+
"loss": 0.9003,
|
1878 |
+
"step": 26700
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 1.85,
|
1882 |
+
"grad_norm": 1.559043049812317,
|
1883 |
+
"learning_rate": 9.752116673451242e-06,
|
1884 |
+
"loss": 0.8969,
|
1885 |
+
"step": 26800
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 1.86,
|
1889 |
+
"grad_norm": 0.9057093858718872,
|
1890 |
+
"learning_rate": 9.75097959397166e-06,
|
1891 |
+
"loss": 0.8917,
|
1892 |
+
"step": 26900
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.87,
|
1896 |
+
"grad_norm": 2.022493600845337,
|
1897 |
+
"learning_rate": 9.749842514492079e-06,
|
1898 |
+
"loss": 0.8981,
|
1899 |
+
"step": 27000
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 1.88,
|
1903 |
+
"grad_norm": 0.9346056580543518,
|
1904 |
+
"learning_rate": 9.748705435012497e-06,
|
1905 |
+
"loss": 0.8784,
|
1906 |
+
"step": 27100
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 1.88,
|
1910 |
+
"grad_norm": 1.9903109073638916,
|
1911 |
+
"learning_rate": 9.747568355532915e-06,
|
1912 |
+
"loss": 0.8796,
|
1913 |
+
"step": 27200
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.89,
|
1917 |
+
"grad_norm": 1.170636534690857,
|
1918 |
+
"learning_rate": 9.746431276053333e-06,
|
1919 |
+
"loss": 0.8838,
|
1920 |
+
"step": 27300
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 1.9,
|
1924 |
+
"grad_norm": 0.965701162815094,
|
1925 |
+
"learning_rate": 9.745294196573753e-06,
|
1926 |
+
"loss": 0.8845,
|
1927 |
+
"step": 27400
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 1.9,
|
1931 |
+
"grad_norm": 1.3994944095611572,
|
1932 |
+
"learning_rate": 9.744157117094171e-06,
|
1933 |
+
"loss": 0.8898,
|
1934 |
+
"step": 27500
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.91,
|
1938 |
+
"grad_norm": 1.881723165512085,
|
1939 |
+
"learning_rate": 9.74302003761459e-06,
|
1940 |
+
"loss": 0.8674,
|
1941 |
+
"step": 27600
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 1.92,
|
1945 |
+
"grad_norm": 1.5024915933609009,
|
1946 |
+
"learning_rate": 9.741882958135008e-06,
|
1947 |
+
"loss": 0.8786,
|
1948 |
+
"step": 27700
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 1.92,
|
1952 |
+
"grad_norm": 1.1712627410888672,
|
1953 |
+
"learning_rate": 9.740745878655426e-06,
|
1954 |
+
"loss": 0.9035,
|
1955 |
+
"step": 27800
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.93,
|
1959 |
+
"grad_norm": 1.244718313217163,
|
1960 |
+
"learning_rate": 9.739608799175846e-06,
|
1961 |
+
"loss": 0.9025,
|
1962 |
+
"step": 27900
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 1.94,
|
1966 |
+
"grad_norm": 0.9487987756729126,
|
1967 |
+
"learning_rate": 9.738471719696264e-06,
|
1968 |
+
"loss": 0.873,
|
1969 |
+
"step": 28000
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 1.94,
|
1973 |
+
"grad_norm": 1.7128610610961914,
|
1974 |
+
"learning_rate": 9.737334640216682e-06,
|
1975 |
+
"loss": 0.8922,
|
1976 |
+
"step": 28100
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.95,
|
1980 |
+
"grad_norm": 1.2584545612335205,
|
1981 |
+
"learning_rate": 9.7361975607371e-06,
|
1982 |
+
"loss": 0.8837,
|
1983 |
+
"step": 28200
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 1.96,
|
1987 |
+
"grad_norm": 2.9237279891967773,
|
1988 |
+
"learning_rate": 9.73506048125752e-06,
|
1989 |
+
"loss": 0.8869,
|
1990 |
+
"step": 28300
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 1.97,
|
1994 |
+
"grad_norm": 1.2407294511795044,
|
1995 |
+
"learning_rate": 9.733923401777939e-06,
|
1996 |
+
"loss": 0.8946,
|
1997 |
+
"step": 28400
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 1.97,
|
2001 |
+
"grad_norm": 1.7751291990280151,
|
2002 |
+
"learning_rate": 9.732786322298357e-06,
|
2003 |
+
"loss": 0.8887,
|
2004 |
+
"step": 28500
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 1.98,
|
2008 |
+
"grad_norm": 1.5226610898971558,
|
2009 |
+
"learning_rate": 9.731649242818777e-06,
|
2010 |
+
"loss": 0.8781,
|
2011 |
+
"step": 28600
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 1.99,
|
2015 |
+
"grad_norm": 1.1699825525283813,
|
2016 |
+
"learning_rate": 9.730512163339195e-06,
|
2017 |
+
"loss": 0.8943,
|
2018 |
+
"step": 28700
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.99,
|
2022 |
+
"grad_norm": 1.861343502998352,
|
2023 |
+
"learning_rate": 9.729375083859613e-06,
|
2024 |
+
"loss": 0.8881,
|
2025 |
+
"step": 28800
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 2.0,
|
2029 |
+
"grad_norm": 1.4747081995010376,
|
2030 |
+
"learning_rate": 9.728238004380031e-06,
|
2031 |
+
"loss": 0.8886,
|
2032 |
+
"step": 28900
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 2.01,
|
2036 |
+
"grad_norm": 1.088890552520752,
|
2037 |
+
"learning_rate": 9.72710092490045e-06,
|
2038 |
+
"loss": 0.7441,
|
2039 |
+
"step": 29000
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 2.01,
|
2043 |
+
"grad_norm": 0.9987432956695557,
|
2044 |
+
"learning_rate": 9.725963845420868e-06,
|
2045 |
+
"loss": 0.7582,
|
2046 |
+
"step": 29100
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 2.02,
|
2050 |
+
"grad_norm": 1.0923954248428345,
|
2051 |
+
"learning_rate": 9.724826765941286e-06,
|
2052 |
+
"loss": 0.7519,
|
2053 |
+
"step": 29200
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 2.03,
|
2057 |
+
"grad_norm": 1.1200125217437744,
|
2058 |
+
"learning_rate": 9.723689686461704e-06,
|
2059 |
+
"loss": 0.7418,
|
2060 |
+
"step": 29300
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 2.03,
|
2064 |
+
"grad_norm": 1.1910890340805054,
|
2065 |
+
"learning_rate": 9.722552606982124e-06,
|
2066 |
+
"loss": 0.7468,
|
2067 |
+
"step": 29400
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 2.04,
|
2071 |
+
"grad_norm": 1.258558750152588,
|
2072 |
+
"learning_rate": 9.721415527502542e-06,
|
2073 |
+
"loss": 0.7504,
|
2074 |
+
"step": 29500
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 2.05,
|
2078 |
+
"grad_norm": 1.5713021755218506,
|
2079 |
+
"learning_rate": 9.72027844802296e-06,
|
2080 |
+
"loss": 0.7535,
|
2081 |
+
"step": 29600
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 2.06,
|
2085 |
+
"grad_norm": 1.168602705001831,
|
2086 |
+
"learning_rate": 9.719141368543378e-06,
|
2087 |
+
"loss": 0.7585,
|
2088 |
+
"step": 29700
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 2.06,
|
2092 |
+
"grad_norm": 1.3702242374420166,
|
2093 |
+
"learning_rate": 9.718004289063798e-06,
|
2094 |
+
"loss": 0.7292,
|
2095 |
+
"step": 29800
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 2.07,
|
2099 |
+
"grad_norm": 1.2426716089248657,
|
2100 |
+
"learning_rate": 9.716867209584216e-06,
|
2101 |
+
"loss": 0.7463,
|
2102 |
+
"step": 29900
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 2.08,
|
2106 |
+
"grad_norm": 1.0902788639068604,
|
2107 |
+
"learning_rate": 9.715730130104635e-06,
|
2108 |
+
"loss": 0.7719,
|
2109 |
+
"step": 30000
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 2.08,
|
2113 |
+
"grad_norm": 1.0159074068069458,
|
2114 |
+
"learning_rate": 9.714593050625053e-06,
|
2115 |
+
"loss": 0.734,
|
2116 |
+
"step": 30100
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 2.09,
|
2120 |
+
"grad_norm": 1.5543040037155151,
|
2121 |
+
"learning_rate": 9.713455971145473e-06,
|
2122 |
+
"loss": 0.7672,
|
2123 |
+
"step": 30200
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 2.1,
|
2127 |
+
"grad_norm": 1.5157111883163452,
|
2128 |
+
"learning_rate": 9.712318891665891e-06,
|
2129 |
+
"loss": 0.7537,
|
2130 |
+
"step": 30300
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 2.1,
|
2134 |
+
"grad_norm": 1.1269359588623047,
|
2135 |
+
"learning_rate": 9.711181812186309e-06,
|
2136 |
+
"loss": 0.7299,
|
2137 |
+
"step": 30400
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 2.11,
|
2141 |
+
"grad_norm": 1.2218953371047974,
|
2142 |
+
"learning_rate": 9.710044732706727e-06,
|
2143 |
+
"loss": 0.7467,
|
2144 |
+
"step": 30500
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 2.12,
|
2148 |
+
"grad_norm": 1.5376088619232178,
|
2149 |
+
"learning_rate": 9.708907653227147e-06,
|
2150 |
+
"loss": 0.7743,
|
2151 |
+
"step": 30600
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 2.12,
|
2155 |
+
"grad_norm": 0.9877933859825134,
|
2156 |
+
"learning_rate": 9.707770573747565e-06,
|
2157 |
+
"loss": 0.748,
|
2158 |
+
"step": 30700
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 2.13,
|
2162 |
+
"grad_norm": 1.4562112092971802,
|
2163 |
+
"learning_rate": 9.706633494267984e-06,
|
2164 |
+
"loss": 0.7289,
|
2165 |
+
"step": 30800
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 2.14,
|
2169 |
+
"grad_norm": 1.0615695714950562,
|
2170 |
+
"learning_rate": 9.705496414788402e-06,
|
2171 |
+
"loss": 0.7461,
|
2172 |
+
"step": 30900
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 2.15,
|
2176 |
+
"grad_norm": 1.3564727306365967,
|
2177 |
+
"learning_rate": 9.70435933530882e-06,
|
2178 |
+
"loss": 0.7548,
|
2179 |
+
"step": 31000
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 2.15,
|
2183 |
+
"grad_norm": 1.1372426748275757,
|
2184 |
+
"learning_rate": 9.703222255829238e-06,
|
2185 |
+
"loss": 0.7657,
|
2186 |
+
"step": 31100
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 2.16,
|
2190 |
+
"grad_norm": 1.0807079076766968,
|
2191 |
+
"learning_rate": 9.702085176349656e-06,
|
2192 |
+
"loss": 0.7405,
|
2193 |
+
"step": 31200
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 2.17,
|
2197 |
+
"grad_norm": 1.3630435466766357,
|
2198 |
+
"learning_rate": 9.700948096870074e-06,
|
2199 |
+
"loss": 0.7564,
|
2200 |
+
"step": 31300
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 2.17,
|
2204 |
+
"grad_norm": 1.4270291328430176,
|
2205 |
+
"learning_rate": 9.699811017390494e-06,
|
2206 |
+
"loss": 0.7568,
|
2207 |
+
"step": 31400
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 2.18,
|
2211 |
+
"grad_norm": 1.4675869941711426,
|
2212 |
+
"learning_rate": 9.698673937910913e-06,
|
2213 |
+
"loss": 0.7449,
|
2214 |
+
"step": 31500
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 2.19,
|
2218 |
+
"grad_norm": 1.6441352367401123,
|
2219 |
+
"learning_rate": 9.69753685843133e-06,
|
2220 |
+
"loss": 0.7377,
|
2221 |
+
"step": 31600
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 2.19,
|
2225 |
+
"grad_norm": 0.9643974304199219,
|
2226 |
+
"learning_rate": 9.696399778951749e-06,
|
2227 |
+
"loss": 0.7444,
|
2228 |
+
"step": 31700
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 2.2,
|
2232 |
+
"grad_norm": 1.1708444356918335,
|
2233 |
+
"learning_rate": 9.695262699472169e-06,
|
2234 |
+
"loss": 0.735,
|
2235 |
+
"step": 31800
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 2.21,
|
2239 |
+
"grad_norm": 1.3973842859268188,
|
2240 |
+
"learning_rate": 9.694125619992587e-06,
|
2241 |
+
"loss": 0.7431,
|
2242 |
+
"step": 31900
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 2.21,
|
2246 |
+
"grad_norm": 1.874589443206787,
|
2247 |
+
"learning_rate": 9.692988540513005e-06,
|
2248 |
+
"loss": 0.7351,
|
2249 |
+
"step": 32000
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 2.22,
|
2253 |
+
"grad_norm": 1.3498945236206055,
|
2254 |
+
"learning_rate": 9.691851461033423e-06,
|
2255 |
+
"loss": 0.7634,
|
2256 |
+
"step": 32100
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 2.23,
|
2260 |
+
"grad_norm": 0.9219258427619934,
|
2261 |
+
"learning_rate": 9.690714381553843e-06,
|
2262 |
+
"loss": 0.7463,
|
2263 |
+
"step": 32200
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 2.24,
|
2267 |
+
"grad_norm": 1.0574524402618408,
|
2268 |
+
"learning_rate": 9.689577302074261e-06,
|
2269 |
+
"loss": 0.7614,
|
2270 |
+
"step": 32300
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 2.24,
|
2274 |
+
"grad_norm": 1.3175101280212402,
|
2275 |
+
"learning_rate": 9.68844022259468e-06,
|
2276 |
+
"loss": 0.7596,
|
2277 |
+
"step": 32400
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 2.25,
|
2281 |
+
"grad_norm": 1.9520835876464844,
|
2282 |
+
"learning_rate": 9.6873031431151e-06,
|
2283 |
+
"loss": 0.7389,
|
2284 |
+
"step": 32500
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 2.26,
|
2288 |
+
"grad_norm": 1.323140025138855,
|
2289 |
+
"learning_rate": 9.686166063635518e-06,
|
2290 |
+
"loss": 0.752,
|
2291 |
+
"step": 32600
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 2.26,
|
2295 |
+
"grad_norm": 1.7792108058929443,
|
2296 |
+
"learning_rate": 9.685028984155936e-06,
|
2297 |
+
"loss": 0.7344,
|
2298 |
+
"step": 32700
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 2.27,
|
2302 |
+
"grad_norm": 1.1545817852020264,
|
2303 |
+
"learning_rate": 9.683891904676354e-06,
|
2304 |
+
"loss": 0.7491,
|
2305 |
+
"step": 32800
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 2.28,
|
2309 |
+
"grad_norm": 1.9984090328216553,
|
2310 |
+
"learning_rate": 9.682754825196772e-06,
|
2311 |
+
"loss": 0.7483,
|
2312 |
+
"step": 32900
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 2.28,
|
2316 |
+
"grad_norm": 1.0549036264419556,
|
2317 |
+
"learning_rate": 9.68161774571719e-06,
|
2318 |
+
"loss": 0.746,
|
2319 |
+
"step": 33000
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 2.29,
|
2323 |
+
"grad_norm": 1.4079967737197876,
|
2324 |
+
"learning_rate": 9.680480666237609e-06,
|
2325 |
+
"loss": 0.7523,
|
2326 |
+
"step": 33100
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 2.3,
|
2330 |
+
"grad_norm": 1.9782769680023193,
|
2331 |
+
"learning_rate": 9.679343586758027e-06,
|
2332 |
+
"loss": 0.7441,
|
2333 |
+
"step": 33200
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 2.3,
|
2337 |
+
"grad_norm": 1.1346936225891113,
|
2338 |
+
"learning_rate": 9.678206507278447e-06,
|
2339 |
+
"loss": 0.7471,
|
2340 |
+
"step": 33300
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 2.31,
|
2344 |
+
"grad_norm": 1.1705242395401,
|
2345 |
+
"learning_rate": 9.677069427798865e-06,
|
2346 |
+
"loss": 0.7464,
|
2347 |
+
"step": 33400
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 2.32,
|
2351 |
+
"grad_norm": 1.5971590280532837,
|
2352 |
+
"learning_rate": 9.675932348319283e-06,
|
2353 |
+
"loss": 0.7304,
|
2354 |
+
"step": 33500
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 2.33,
|
2358 |
+
"grad_norm": 1.3200665712356567,
|
2359 |
+
"learning_rate": 9.674795268839701e-06,
|
2360 |
+
"loss": 0.751,
|
2361 |
+
"step": 33600
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 2.33,
|
2365 |
+
"grad_norm": 1.4499751329421997,
|
2366 |
+
"learning_rate": 9.673658189360121e-06,
|
2367 |
+
"loss": 0.7511,
|
2368 |
+
"step": 33700
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 2.34,
|
2372 |
+
"grad_norm": 1.175971269607544,
|
2373 |
+
"learning_rate": 9.67252110988054e-06,
|
2374 |
+
"loss": 0.7543,
|
2375 |
+
"step": 33800
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 2.35,
|
2379 |
+
"grad_norm": 1.4881532192230225,
|
2380 |
+
"learning_rate": 9.671384030400958e-06,
|
2381 |
+
"loss": 0.7638,
|
2382 |
+
"step": 33900
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 2.35,
|
2386 |
+
"grad_norm": 1.8659014701843262,
|
2387 |
+
"learning_rate": 9.670246950921376e-06,
|
2388 |
+
"loss": 0.7568,
|
2389 |
+
"step": 34000
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 2.36,
|
2393 |
+
"grad_norm": 1.0910565853118896,
|
2394 |
+
"learning_rate": 9.669109871441796e-06,
|
2395 |
+
"loss": 0.7309,
|
2396 |
+
"step": 34100
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 2.37,
|
2400 |
+
"grad_norm": 1.7868353128433228,
|
2401 |
+
"learning_rate": 9.667972791962214e-06,
|
2402 |
+
"loss": 0.7526,
|
2403 |
+
"step": 34200
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 2.37,
|
2407 |
+
"grad_norm": 1.785824179649353,
|
2408 |
+
"learning_rate": 9.666835712482632e-06,
|
2409 |
+
"loss": 0.7407,
|
2410 |
+
"step": 34300
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 2.38,
|
2414 |
+
"grad_norm": 1.1215893030166626,
|
2415 |
+
"learning_rate": 9.66569863300305e-06,
|
2416 |
+
"loss": 0.7661,
|
2417 |
+
"step": 34400
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 2.39,
|
2421 |
+
"grad_norm": 1.122859239578247,
|
2422 |
+
"learning_rate": 9.66456155352347e-06,
|
2423 |
+
"loss": 0.7699,
|
2424 |
+
"step": 34500
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 2.39,
|
2428 |
+
"grad_norm": 1.5451531410217285,
|
2429 |
+
"learning_rate": 9.663424474043888e-06,
|
2430 |
+
"loss": 0.7674,
|
2431 |
+
"step": 34600
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 2.4,
|
2435 |
+
"grad_norm": 1.5229209661483765,
|
2436 |
+
"learning_rate": 9.662287394564307e-06,
|
2437 |
+
"loss": 0.769,
|
2438 |
+
"step": 34700
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 2.41,
|
2442 |
+
"grad_norm": 1.0651535987854004,
|
2443 |
+
"learning_rate": 9.661150315084725e-06,
|
2444 |
+
"loss": 0.773,
|
2445 |
+
"step": 34800
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 2.42,
|
2449 |
+
"grad_norm": 1.4791786670684814,
|
2450 |
+
"learning_rate": 9.660013235605143e-06,
|
2451 |
+
"loss": 0.7367,
|
2452 |
+
"step": 34900
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 2.42,
|
2456 |
+
"grad_norm": 1.1090731620788574,
|
2457 |
+
"learning_rate": 9.658876156125561e-06,
|
2458 |
+
"loss": 0.7548,
|
2459 |
+
"step": 35000
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 2.43,
|
2463 |
+
"grad_norm": 2.275923728942871,
|
2464 |
+
"learning_rate": 9.65773907664598e-06,
|
2465 |
+
"loss": 0.731,
|
2466 |
+
"step": 35100
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 2.44,
|
2470 |
+
"grad_norm": 1.143157958984375,
|
2471 |
+
"learning_rate": 9.656601997166397e-06,
|
2472 |
+
"loss": 0.7414,
|
2473 |
+
"step": 35200
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 2.44,
|
2477 |
+
"grad_norm": 1.456304907798767,
|
2478 |
+
"learning_rate": 9.655464917686817e-06,
|
2479 |
+
"loss": 0.7658,
|
2480 |
+
"step": 35300
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 2.45,
|
2484 |
+
"grad_norm": 1.6997617483139038,
|
2485 |
+
"learning_rate": 9.654327838207236e-06,
|
2486 |
+
"loss": 0.7433,
|
2487 |
+
"step": 35400
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 2.46,
|
2491 |
+
"grad_norm": 1.1651383638381958,
|
2492 |
+
"learning_rate": 9.653190758727654e-06,
|
2493 |
+
"loss": 0.7524,
|
2494 |
+
"step": 35500
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 2.46,
|
2498 |
+
"grad_norm": 1.3326326608657837,
|
2499 |
+
"learning_rate": 9.652053679248072e-06,
|
2500 |
+
"loss": 0.7567,
|
2501 |
+
"step": 35600
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 2.47,
|
2505 |
+
"grad_norm": 2.015740156173706,
|
2506 |
+
"learning_rate": 9.650916599768492e-06,
|
2507 |
+
"loss": 0.7521,
|
2508 |
+
"step": 35700
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 2.48,
|
2512 |
+
"grad_norm": 1.1610100269317627,
|
2513 |
+
"learning_rate": 9.64977952028891e-06,
|
2514 |
+
"loss": 0.7534,
|
2515 |
+
"step": 35800
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 2.48,
|
2519 |
+
"grad_norm": 1.8438266515731812,
|
2520 |
+
"learning_rate": 9.648642440809328e-06,
|
2521 |
+
"loss": 0.7596,
|
2522 |
+
"step": 35900
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 2.49,
|
2526 |
+
"grad_norm": 1.3691192865371704,
|
2527 |
+
"learning_rate": 9.647505361329746e-06,
|
2528 |
+
"loss": 0.7555,
|
2529 |
+
"step": 36000
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 2.5,
|
2533 |
+
"grad_norm": 1.08921480178833,
|
2534 |
+
"learning_rate": 9.646368281850166e-06,
|
2535 |
+
"loss": 0.7555,
|
2536 |
+
"step": 36100
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 2.51,
|
2540 |
+
"grad_norm": 1.491302490234375,
|
2541 |
+
"learning_rate": 9.645231202370584e-06,
|
2542 |
+
"loss": 0.7493,
|
2543 |
+
"step": 36200
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 2.51,
|
2547 |
+
"grad_norm": 1.3344277143478394,
|
2548 |
+
"learning_rate": 9.644094122891003e-06,
|
2549 |
+
"loss": 0.7324,
|
2550 |
+
"step": 36300
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 2.52,
|
2554 |
+
"grad_norm": 1.5226786136627197,
|
2555 |
+
"learning_rate": 9.642957043411423e-06,
|
2556 |
+
"loss": 0.7627,
|
2557 |
+
"step": 36400
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 2.53,
|
2561 |
+
"grad_norm": 1.1613144874572754,
|
2562 |
+
"learning_rate": 9.64181996393184e-06,
|
2563 |
+
"loss": 0.761,
|
2564 |
+
"step": 36500
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 2.53,
|
2568 |
+
"grad_norm": 1.027484655380249,
|
2569 |
+
"learning_rate": 9.640682884452259e-06,
|
2570 |
+
"loss": 0.7402,
|
2571 |
+
"step": 36600
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 2.54,
|
2575 |
+
"grad_norm": 1.2822198867797852,
|
2576 |
+
"learning_rate": 9.639545804972677e-06,
|
2577 |
+
"loss": 0.7431,
|
2578 |
+
"step": 36700
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 2.55,
|
2582 |
+
"grad_norm": 1.3637478351593018,
|
2583 |
+
"learning_rate": 9.638408725493095e-06,
|
2584 |
+
"loss": 0.7379,
|
2585 |
+
"step": 36800
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 2.55,
|
2589 |
+
"grad_norm": 1.5146301984786987,
|
2590 |
+
"learning_rate": 9.637271646013513e-06,
|
2591 |
+
"loss": 0.7418,
|
2592 |
+
"step": 36900
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 2.56,
|
2596 |
+
"grad_norm": 2.1688733100891113,
|
2597 |
+
"learning_rate": 9.636134566533932e-06,
|
2598 |
+
"loss": 0.7502,
|
2599 |
+
"step": 37000
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 2.57,
|
2603 |
+
"grad_norm": 1.2492934465408325,
|
2604 |
+
"learning_rate": 9.63499748705435e-06,
|
2605 |
+
"loss": 0.7559,
|
2606 |
+
"step": 37100
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 2.57,
|
2610 |
+
"grad_norm": 1.2392542362213135,
|
2611 |
+
"learning_rate": 9.63386040757477e-06,
|
2612 |
+
"loss": 0.7577,
|
2613 |
+
"step": 37200
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 2.58,
|
2617 |
+
"grad_norm": 1.7133578062057495,
|
2618 |
+
"learning_rate": 9.632723328095188e-06,
|
2619 |
+
"loss": 0.7445,
|
2620 |
+
"step": 37300
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 2.59,
|
2624 |
+
"grad_norm": 1.3718565702438354,
|
2625 |
+
"learning_rate": 9.631586248615606e-06,
|
2626 |
+
"loss": 0.7497,
|
2627 |
+
"step": 37400
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 2.6,
|
2631 |
+
"grad_norm": 1.1081408262252808,
|
2632 |
+
"learning_rate": 9.630449169136024e-06,
|
2633 |
+
"loss": 0.7497,
|
2634 |
+
"step": 37500
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 2.6,
|
2638 |
+
"grad_norm": 1.456451177597046,
|
2639 |
+
"learning_rate": 9.629312089656444e-06,
|
2640 |
+
"loss": 0.7602,
|
2641 |
+
"step": 37600
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 2.61,
|
2645 |
+
"grad_norm": 1.5611923933029175,
|
2646 |
+
"learning_rate": 9.628175010176862e-06,
|
2647 |
+
"loss": 0.7491,
|
2648 |
+
"step": 37700
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 2.62,
|
2652 |
+
"grad_norm": 1.4570584297180176,
|
2653 |
+
"learning_rate": 9.62703793069728e-06,
|
2654 |
+
"loss": 0.7284,
|
2655 |
+
"step": 37800
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 2.62,
|
2659 |
+
"grad_norm": 1.5079962015151978,
|
2660 |
+
"learning_rate": 9.625900851217699e-06,
|
2661 |
+
"loss": 0.7444,
|
2662 |
+
"step": 37900
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 2.63,
|
2666 |
+
"grad_norm": 1.2449984550476074,
|
2667 |
+
"learning_rate": 9.624763771738119e-06,
|
2668 |
+
"loss": 0.7434,
|
2669 |
+
"step": 38000
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 2.64,
|
2673 |
+
"grad_norm": 1.5426061153411865,
|
2674 |
+
"learning_rate": 9.623626692258537e-06,
|
2675 |
+
"loss": 0.7236,
|
2676 |
+
"step": 38100
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 2.64,
|
2680 |
+
"grad_norm": 0.9547230005264282,
|
2681 |
+
"learning_rate": 9.622489612778955e-06,
|
2682 |
+
"loss": 0.7658,
|
2683 |
+
"step": 38200
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 2.65,
|
2687 |
+
"grad_norm": 2.019867420196533,
|
2688 |
+
"learning_rate": 9.621352533299373e-06,
|
2689 |
+
"loss": 0.7639,
|
2690 |
+
"step": 38300
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 2.66,
|
2694 |
+
"grad_norm": 1.23647141456604,
|
2695 |
+
"learning_rate": 9.620215453819793e-06,
|
2696 |
+
"loss": 0.7394,
|
2697 |
+
"step": 38400
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 2.66,
|
2701 |
+
"grad_norm": 1.0223355293273926,
|
2702 |
+
"learning_rate": 9.619078374340211e-06,
|
2703 |
+
"loss": 0.7504,
|
2704 |
+
"step": 38500
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 2.67,
|
2708 |
+
"grad_norm": 1.6476218700408936,
|
2709 |
+
"learning_rate": 9.61794129486063e-06,
|
2710 |
+
"loss": 0.7399,
|
2711 |
+
"step": 38600
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 2.68,
|
2715 |
+
"grad_norm": 1.613430380821228,
|
2716 |
+
"learning_rate": 9.616804215381048e-06,
|
2717 |
+
"loss": 0.7516,
|
2718 |
+
"step": 38700
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 2.69,
|
2722 |
+
"grad_norm": 1.429872989654541,
|
2723 |
+
"learning_rate": 9.615667135901466e-06,
|
2724 |
+
"loss": 0.7447,
|
2725 |
+
"step": 38800
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 2.69,
|
2729 |
+
"grad_norm": 1.2421847581863403,
|
2730 |
+
"learning_rate": 9.614530056421884e-06,
|
2731 |
+
"loss": 0.7277,
|
2732 |
+
"step": 38900
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 2.7,
|
2736 |
+
"grad_norm": 0.9920752048492432,
|
2737 |
+
"learning_rate": 9.613392976942302e-06,
|
2738 |
+
"loss": 0.7593,
|
2739 |
+
"step": 39000
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 2.71,
|
2743 |
+
"grad_norm": 1.0799416303634644,
|
2744 |
+
"learning_rate": 9.61225589746272e-06,
|
2745 |
+
"loss": 0.7356,
|
2746 |
+
"step": 39100
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 2.71,
|
2750 |
+
"grad_norm": 1.5203379392623901,
|
2751 |
+
"learning_rate": 9.61111881798314e-06,
|
2752 |
+
"loss": 0.7244,
|
2753 |
+
"step": 39200
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 2.72,
|
2757 |
+
"grad_norm": 1.0241066217422485,
|
2758 |
+
"learning_rate": 9.609981738503558e-06,
|
2759 |
+
"loss": 0.7461,
|
2760 |
+
"step": 39300
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 2.73,
|
2764 |
+
"grad_norm": 1.334892749786377,
|
2765 |
+
"learning_rate": 9.608844659023977e-06,
|
2766 |
+
"loss": 0.7389,
|
2767 |
+
"step": 39400
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 2.73,
|
2771 |
+
"grad_norm": 1.5321505069732666,
|
2772 |
+
"learning_rate": 9.607707579544395e-06,
|
2773 |
+
"loss": 0.7576,
|
2774 |
+
"step": 39500
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 2.74,
|
2778 |
+
"grad_norm": 1.002794861793518,
|
2779 |
+
"learning_rate": 9.606570500064815e-06,
|
2780 |
+
"loss": 0.7433,
|
2781 |
+
"step": 39600
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 2.75,
|
2785 |
+
"grad_norm": 1.5852782726287842,
|
2786 |
+
"learning_rate": 9.605433420585233e-06,
|
2787 |
+
"loss": 0.727,
|
2788 |
+
"step": 39700
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 2.75,
|
2792 |
+
"grad_norm": 1.0254426002502441,
|
2793 |
+
"learning_rate": 9.604296341105651e-06,
|
2794 |
+
"loss": 0.7325,
|
2795 |
+
"step": 39800
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 2.76,
|
2799 |
+
"grad_norm": 1.2515307664871216,
|
2800 |
+
"learning_rate": 9.60315926162607e-06,
|
2801 |
+
"loss": 0.7474,
|
2802 |
+
"step": 39900
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 2.77,
|
2806 |
+
"grad_norm": 1.156690239906311,
|
2807 |
+
"learning_rate": 9.60202218214649e-06,
|
2808 |
+
"loss": 0.7277,
|
2809 |
+
"step": 40000
|
2810 |
+
}
|
2811 |
+
],
|
2812 |
+
"logging_steps": 100,
|
2813 |
+
"max_steps": 884446,
|
2814 |
+
"num_input_tokens_seen": 0,
|
2815 |
+
"num_train_epochs": 62,
|
2816 |
+
"save_steps": 10000,
|
2817 |
+
"total_flos": 3.9504708298170163e+18,
|
2818 |
+
"train_batch_size": 1,
|
2819 |
+
"trial_name": null,
|
2820 |
+
"trial_params": null
|
2821 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:316c850def51c89ae3e4422ac179bdf90da7d51c0dc61744b2dde9f216af468f
|
3 |
+
size 4920
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|