Upload folder using huggingface_hub
Browse files- added_tokens.json +5 -0
- checkpoint-1687/config.json +32 -0
- checkpoint-1687/generation_config.json +7 -0
- checkpoint-1687/model.safetensors +3 -0
- checkpoint-1687/optimizer.pt +3 -0
- checkpoint-1687/rng_state.pth +3 -0
- checkpoint-1687/scheduler.pt +3 -0
- checkpoint-1687/trainer_state.json +1209 -0
- checkpoint-1687/training_args.bin +3 -0
- config.json +32 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +44 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +69 -0
- training_args.bin +3 -0
added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[BOS]": 32001,
|
3 |
+
"[EOS]": 32002,
|
4 |
+
"[PAD]": 32000
|
5 |
+
}
|
checkpoint-1687/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "appvoid/arco-mini-run-2",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"head_dim": 96,
|
11 |
+
"hidden_act": "silu",
|
12 |
+
"hidden_size": 1536,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"max_position_embeddings": 2048,
|
16 |
+
"mlp_bias": false,
|
17 |
+
"model_type": "llama",
|
18 |
+
"num_attention_heads": 8,
|
19 |
+
"num_hidden_layers": 8,
|
20 |
+
"num_key_value_heads": 8,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"pretraining_tp": 1,
|
23 |
+
"rms_norm_eps": 1e-05,
|
24 |
+
"rope_scaling": null,
|
25 |
+
"rope_theta": 100000,
|
26 |
+
"sliding_window": null,
|
27 |
+
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "float32",
|
29 |
+
"transformers_version": "4.45.1",
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 32003
|
32 |
+
}
|
checkpoint-1687/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.45.1"
|
7 |
+
}
|
checkpoint-1687/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b9d27ac4b295e4746555823edebfe9e7fba8277f49704ed1b90b09f0bca4b24
|
3 |
+
size 997345472
|
checkpoint-1687/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f20dbe3427785d24816e157e6103f4212a3b982bff3365373a75f7e0cf334b1c
|
3 |
+
size 1994737722
|
checkpoint-1687/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
3 |
+
size 14244
|
checkpoint-1687/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:607c2a40623d630951be1e137e8a77a03c45e2b37089ed9decc753aa53bdeaa1
|
3 |
+
size 1064
|
checkpoint-1687/trainer_state.json
ADDED
@@ -0,0 +1,1209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9997037037037036,
|
5 |
+
"eval_steps": 5000,
|
6 |
+
"global_step": 1687,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.005925925925925926,
|
13 |
+
"grad_norm": 0.5658125281333923,
|
14 |
+
"learning_rate": 2.0000000000000003e-06,
|
15 |
+
"loss": 1.9859,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.011851851851851851,
|
20 |
+
"grad_norm": 0.4840392470359802,
|
21 |
+
"learning_rate": 4.000000000000001e-06,
|
22 |
+
"loss": 1.9552,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.017777777777777778,
|
27 |
+
"grad_norm": 0.5106642246246338,
|
28 |
+
"learning_rate": 6e-06,
|
29 |
+
"loss": 1.8641,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.023703703703703703,
|
34 |
+
"grad_norm": 0.3882107436656952,
|
35 |
+
"learning_rate": 8.000000000000001e-06,
|
36 |
+
"loss": 1.8952,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02962962962962963,
|
41 |
+
"grad_norm": 0.5257787704467773,
|
42 |
+
"learning_rate": 1e-05,
|
43 |
+
"loss": 2.0206,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.035555555555555556,
|
48 |
+
"grad_norm": 0.466878741979599,
|
49 |
+
"learning_rate": 1.2e-05,
|
50 |
+
"loss": 1.8342,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.04148148148148148,
|
55 |
+
"grad_norm": 0.5169644355773926,
|
56 |
+
"learning_rate": 1.4000000000000001e-05,
|
57 |
+
"loss": 1.9108,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.047407407407407405,
|
62 |
+
"grad_norm": 0.5135151743888855,
|
63 |
+
"learning_rate": 1.6000000000000003e-05,
|
64 |
+
"loss": 2.0776,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.05333333333333334,
|
69 |
+
"grad_norm": 0.6329066157341003,
|
70 |
+
"learning_rate": 1.8e-05,
|
71 |
+
"loss": 2.0294,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.05925925925925926,
|
76 |
+
"grad_norm": 0.5724173188209534,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 2.0369,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.06518518518518518,
|
83 |
+
"grad_norm": 0.6717743277549744,
|
84 |
+
"learning_rate": 2.2000000000000003e-05,
|
85 |
+
"loss": 2.0009,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07111111111111111,
|
90 |
+
"grad_norm": 0.7047879099845886,
|
91 |
+
"learning_rate": 2.4e-05,
|
92 |
+
"loss": 2.1022,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.07703703703703704,
|
97 |
+
"grad_norm": 0.5536562204360962,
|
98 |
+
"learning_rate": 2.6000000000000002e-05,
|
99 |
+
"loss": 1.9473,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.08296296296296296,
|
104 |
+
"grad_norm": 0.7499417066574097,
|
105 |
+
"learning_rate": 2.8000000000000003e-05,
|
106 |
+
"loss": 1.8281,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.08888888888888889,
|
111 |
+
"grad_norm": 0.767043948173523,
|
112 |
+
"learning_rate": 3e-05,
|
113 |
+
"loss": 2.0454,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.09481481481481481,
|
118 |
+
"grad_norm": 0.717535138130188,
|
119 |
+
"learning_rate": 3.2000000000000005e-05,
|
120 |
+
"loss": 1.9561,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.10074074074074074,
|
125 |
+
"grad_norm": 0.6414211392402649,
|
126 |
+
"learning_rate": 3.4000000000000007e-05,
|
127 |
+
"loss": 1.9112,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.10666666666666667,
|
132 |
+
"grad_norm": 0.6495911478996277,
|
133 |
+
"learning_rate": 3.6e-05,
|
134 |
+
"loss": 1.96,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.11259259259259259,
|
139 |
+
"grad_norm": 0.6383408308029175,
|
140 |
+
"learning_rate": 3.8e-05,
|
141 |
+
"loss": 1.9678,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.11851851851851852,
|
146 |
+
"grad_norm": 0.5086091756820679,
|
147 |
+
"learning_rate": 4e-05,
|
148 |
+
"loss": 1.863,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.12444444444444444,
|
153 |
+
"grad_norm": 0.6146989464759827,
|
154 |
+
"learning_rate": 4.2e-05,
|
155 |
+
"loss": 1.8957,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.13037037037037036,
|
160 |
+
"grad_norm": 0.8208276629447937,
|
161 |
+
"learning_rate": 4.4000000000000006e-05,
|
162 |
+
"loss": 1.8206,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1362962962962963,
|
167 |
+
"grad_norm": 0.7568028569221497,
|
168 |
+
"learning_rate": 4.600000000000001e-05,
|
169 |
+
"loss": 1.952,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.14222222222222222,
|
174 |
+
"grad_norm": 0.7779513597488403,
|
175 |
+
"learning_rate": 4.8e-05,
|
176 |
+
"loss": 2.037,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.14814814814814814,
|
181 |
+
"grad_norm": 0.6543411016464233,
|
182 |
+
"learning_rate": 5e-05,
|
183 |
+
"loss": 1.9939,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.15407407407407409,
|
188 |
+
"grad_norm": 0.6476520895957947,
|
189 |
+
"learning_rate": 5.2000000000000004e-05,
|
190 |
+
"loss": 1.8528,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.16,
|
195 |
+
"grad_norm": 0.5776610374450684,
|
196 |
+
"learning_rate": 5.4000000000000005e-05,
|
197 |
+
"loss": 2.0216,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.16592592592592592,
|
202 |
+
"grad_norm": 0.6913073658943176,
|
203 |
+
"learning_rate": 5.6000000000000006e-05,
|
204 |
+
"loss": 2.0332,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.17185185185185184,
|
209 |
+
"grad_norm": 0.7126554250717163,
|
210 |
+
"learning_rate": 5.8e-05,
|
211 |
+
"loss": 2.071,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.17777777777777778,
|
216 |
+
"grad_norm": 0.7475311756134033,
|
217 |
+
"learning_rate": 6e-05,
|
218 |
+
"loss": 2.0481,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1837037037037037,
|
223 |
+
"grad_norm": 0.6156488656997681,
|
224 |
+
"learning_rate": 6.2e-05,
|
225 |
+
"loss": 2.0077,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.18962962962962962,
|
230 |
+
"grad_norm": 0.6974404454231262,
|
231 |
+
"learning_rate": 6.400000000000001e-05,
|
232 |
+
"loss": 2.0649,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.19555555555555557,
|
237 |
+
"grad_norm": 0.6685057282447815,
|
238 |
+
"learning_rate": 6.6e-05,
|
239 |
+
"loss": 2.0685,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.20148148148148148,
|
244 |
+
"grad_norm": 0.5366894006729126,
|
245 |
+
"learning_rate": 6.800000000000001e-05,
|
246 |
+
"loss": 1.8826,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.2074074074074074,
|
251 |
+
"grad_norm": 0.6276523470878601,
|
252 |
+
"learning_rate": 7e-05,
|
253 |
+
"loss": 1.9935,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.21333333333333335,
|
258 |
+
"grad_norm": 0.5763794779777527,
|
259 |
+
"learning_rate": 7.2e-05,
|
260 |
+
"loss": 1.7043,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.21925925925925926,
|
265 |
+
"grad_norm": 0.7299754023551941,
|
266 |
+
"learning_rate": 7.4e-05,
|
267 |
+
"loss": 1.9996,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.22518518518518518,
|
272 |
+
"grad_norm": 0.7397586107254028,
|
273 |
+
"learning_rate": 7.6e-05,
|
274 |
+
"loss": 2.0128,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.2311111111111111,
|
279 |
+
"grad_norm": 0.5862900614738464,
|
280 |
+
"learning_rate": 7.800000000000001e-05,
|
281 |
+
"loss": 1.8096,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.23703703703703705,
|
286 |
+
"grad_norm": 0.5037183165550232,
|
287 |
+
"learning_rate": 8e-05,
|
288 |
+
"loss": 2.0381,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.24296296296296296,
|
293 |
+
"grad_norm": 0.5471982359886169,
|
294 |
+
"learning_rate": 8.2e-05,
|
295 |
+
"loss": 1.9769,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.24888888888888888,
|
300 |
+
"grad_norm": 0.6831430792808533,
|
301 |
+
"learning_rate": 8.4e-05,
|
302 |
+
"loss": 2.0524,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.2548148148148148,
|
307 |
+
"grad_norm": 0.7648348808288574,
|
308 |
+
"learning_rate": 8.6e-05,
|
309 |
+
"loss": 2.0836,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.2607407407407407,
|
314 |
+
"grad_norm": 0.7717330455780029,
|
315 |
+
"learning_rate": 8.800000000000001e-05,
|
316 |
+
"loss": 2.0693,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.26666666666666666,
|
321 |
+
"grad_norm": 0.6415191292762756,
|
322 |
+
"learning_rate": 9e-05,
|
323 |
+
"loss": 2.0827,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.2725925925925926,
|
328 |
+
"grad_norm": 0.6595004796981812,
|
329 |
+
"learning_rate": 9.200000000000001e-05,
|
330 |
+
"loss": 1.7722,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.2785185185185185,
|
335 |
+
"grad_norm": 0.6670510768890381,
|
336 |
+
"learning_rate": 9.4e-05,
|
337 |
+
"loss": 2.0679,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.28444444444444444,
|
342 |
+
"grad_norm": 0.6167762875556946,
|
343 |
+
"learning_rate": 9.6e-05,
|
344 |
+
"loss": 2.1062,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.2903703703703704,
|
349 |
+
"grad_norm": 0.657123863697052,
|
350 |
+
"learning_rate": 9.8e-05,
|
351 |
+
"loss": 1.9496,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.2962962962962963,
|
356 |
+
"grad_norm": 0.7975080013275146,
|
357 |
+
"learning_rate": 0.0001,
|
358 |
+
"loss": 2.0326,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.3022222222222222,
|
363 |
+
"grad_norm": 0.5824917554855347,
|
364 |
+
"learning_rate": 9.91575400168492e-05,
|
365 |
+
"loss": 1.9284,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.30814814814814817,
|
370 |
+
"grad_norm": 0.608211874961853,
|
371 |
+
"learning_rate": 9.83150800336984e-05,
|
372 |
+
"loss": 1.955,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.31407407407407406,
|
377 |
+
"grad_norm": 0.6209816336631775,
|
378 |
+
"learning_rate": 9.74726200505476e-05,
|
379 |
+
"loss": 2.0276,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.32,
|
384 |
+
"grad_norm": 0.5495818853378296,
|
385 |
+
"learning_rate": 9.66301600673968e-05,
|
386 |
+
"loss": 1.9229,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.32592592592592595,
|
391 |
+
"grad_norm": 0.5053668022155762,
|
392 |
+
"learning_rate": 9.5787700084246e-05,
|
393 |
+
"loss": 1.8056,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.33185185185185184,
|
398 |
+
"grad_norm": 0.518039882183075,
|
399 |
+
"learning_rate": 9.49452401010952e-05,
|
400 |
+
"loss": 1.9308,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.3377777777777778,
|
405 |
+
"grad_norm": 0.6717711687088013,
|
406 |
+
"learning_rate": 9.41027801179444e-05,
|
407 |
+
"loss": 1.9352,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.3437037037037037,
|
412 |
+
"grad_norm": 0.7411617636680603,
|
413 |
+
"learning_rate": 9.32603201347936e-05,
|
414 |
+
"loss": 2.0059,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.3496296296296296,
|
419 |
+
"grad_norm": 0.48582813143730164,
|
420 |
+
"learning_rate": 9.24178601516428e-05,
|
421 |
+
"loss": 1.8693,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.35555555555555557,
|
426 |
+
"grad_norm": 0.5219349265098572,
|
427 |
+
"learning_rate": 9.1575400168492e-05,
|
428 |
+
"loss": 1.9478,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.36148148148148146,
|
433 |
+
"grad_norm": 0.6107354760169983,
|
434 |
+
"learning_rate": 9.07329401853412e-05,
|
435 |
+
"loss": 1.9171,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.3674074074074074,
|
440 |
+
"grad_norm": 0.6376306414604187,
|
441 |
+
"learning_rate": 8.98904802021904e-05,
|
442 |
+
"loss": 2.0132,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.37333333333333335,
|
447 |
+
"grad_norm": 0.5478475093841553,
|
448 |
+
"learning_rate": 8.90480202190396e-05,
|
449 |
+
"loss": 1.863,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.37925925925925924,
|
454 |
+
"grad_norm": 0.5968965291976929,
|
455 |
+
"learning_rate": 8.82055602358888e-05,
|
456 |
+
"loss": 1.9489,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.3851851851851852,
|
461 |
+
"grad_norm": 0.6038496494293213,
|
462 |
+
"learning_rate": 8.736310025273799e-05,
|
463 |
+
"loss": 1.7222,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.39111111111111113,
|
468 |
+
"grad_norm": 0.5897707343101501,
|
469 |
+
"learning_rate": 8.652064026958719e-05,
|
470 |
+
"loss": 1.951,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.397037037037037,
|
475 |
+
"grad_norm": 0.5143914222717285,
|
476 |
+
"learning_rate": 8.567818028643639e-05,
|
477 |
+
"loss": 2.0544,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.40296296296296297,
|
482 |
+
"grad_norm": 0.5237649083137512,
|
483 |
+
"learning_rate": 8.483572030328559e-05,
|
484 |
+
"loss": 2.002,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.4088888888888889,
|
489 |
+
"grad_norm": 0.6607901453971863,
|
490 |
+
"learning_rate": 8.399326032013479e-05,
|
491 |
+
"loss": 1.968,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.4148148148148148,
|
496 |
+
"grad_norm": 0.816532552242279,
|
497 |
+
"learning_rate": 8.3150800336984e-05,
|
498 |
+
"loss": 1.8108,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.42074074074074075,
|
503 |
+
"grad_norm": 0.5817467570304871,
|
504 |
+
"learning_rate": 8.23083403538332e-05,
|
505 |
+
"loss": 1.9755,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.4266666666666667,
|
510 |
+
"grad_norm": 0.5732384324073792,
|
511 |
+
"learning_rate": 8.146588037068241e-05,
|
512 |
+
"loss": 1.9885,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.4325925925925926,
|
517 |
+
"grad_norm": 0.7058317065238953,
|
518 |
+
"learning_rate": 8.06234203875316e-05,
|
519 |
+
"loss": 2.0017,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.43851851851851853,
|
524 |
+
"grad_norm": 0.589218258857727,
|
525 |
+
"learning_rate": 7.97809604043808e-05,
|
526 |
+
"loss": 2.094,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.4444444444444444,
|
531 |
+
"grad_norm": 0.4636491537094116,
|
532 |
+
"learning_rate": 7.893850042123e-05,
|
533 |
+
"loss": 1.8869,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.45037037037037037,
|
538 |
+
"grad_norm": 0.6695517301559448,
|
539 |
+
"learning_rate": 7.80960404380792e-05,
|
540 |
+
"loss": 1.8622,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.4562962962962963,
|
545 |
+
"grad_norm": 0.545862078666687,
|
546 |
+
"learning_rate": 7.72535804549284e-05,
|
547 |
+
"loss": 1.7885,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.4622222222222222,
|
552 |
+
"grad_norm": 0.7133297920227051,
|
553 |
+
"learning_rate": 7.64111204717776e-05,
|
554 |
+
"loss": 2.1167,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.46814814814814815,
|
559 |
+
"grad_norm": 0.5214343667030334,
|
560 |
+
"learning_rate": 7.55686604886268e-05,
|
561 |
+
"loss": 1.9065,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.4740740740740741,
|
566 |
+
"grad_norm": 0.46373251080513,
|
567 |
+
"learning_rate": 7.4726200505476e-05,
|
568 |
+
"loss": 1.8037,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.48,
|
573 |
+
"grad_norm": 0.646965742111206,
|
574 |
+
"learning_rate": 7.388374052232519e-05,
|
575 |
+
"loss": 1.7713,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.48592592592592593,
|
580 |
+
"grad_norm": 0.5974875092506409,
|
581 |
+
"learning_rate": 7.304128053917439e-05,
|
582 |
+
"loss": 1.7497,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.4918518518518519,
|
587 |
+
"grad_norm": 0.5363378524780273,
|
588 |
+
"learning_rate": 7.219882055602359e-05,
|
589 |
+
"loss": 1.8432,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.49777777777777776,
|
594 |
+
"grad_norm": 0.5419060587882996,
|
595 |
+
"learning_rate": 7.135636057287279e-05,
|
596 |
+
"loss": 1.8984,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.5037037037037037,
|
601 |
+
"grad_norm": 0.5365799069404602,
|
602 |
+
"learning_rate": 7.0513900589722e-05,
|
603 |
+
"loss": 1.9747,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.5096296296296297,
|
608 |
+
"grad_norm": 0.5691491365432739,
|
609 |
+
"learning_rate": 6.96714406065712e-05,
|
610 |
+
"loss": 2.0097,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.5155555555555555,
|
615 |
+
"grad_norm": 0.4764457643032074,
|
616 |
+
"learning_rate": 6.88289806234204e-05,
|
617 |
+
"loss": 2.0322,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.5214814814814814,
|
622 |
+
"grad_norm": 0.532008707523346,
|
623 |
+
"learning_rate": 6.79865206402696e-05,
|
624 |
+
"loss": 1.8917,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.5274074074074074,
|
629 |
+
"grad_norm": 0.6209381818771362,
|
630 |
+
"learning_rate": 6.714406065711879e-05,
|
631 |
+
"loss": 1.9184,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.5333333333333333,
|
636 |
+
"grad_norm": 0.5349578857421875,
|
637 |
+
"learning_rate": 6.630160067396799e-05,
|
638 |
+
"loss": 1.8408,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.5392592592592592,
|
643 |
+
"grad_norm": 0.5553748607635498,
|
644 |
+
"learning_rate": 6.545914069081719e-05,
|
645 |
+
"loss": 2.0037,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.5451851851851852,
|
650 |
+
"grad_norm": 0.5438774228096008,
|
651 |
+
"learning_rate": 6.461668070766639e-05,
|
652 |
+
"loss": 1.9709,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.5511111111111111,
|
657 |
+
"grad_norm": 0.5479866862297058,
|
658 |
+
"learning_rate": 6.377422072451559e-05,
|
659 |
+
"loss": 2.0121,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.557037037037037,
|
664 |
+
"grad_norm": 0.479965478181839,
|
665 |
+
"learning_rate": 6.293176074136478e-05,
|
666 |
+
"loss": 1.7643,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.562962962962963,
|
671 |
+
"grad_norm": 0.41314756870269775,
|
672 |
+
"learning_rate": 6.208930075821398e-05,
|
673 |
+
"loss": 1.9746,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.5688888888888889,
|
678 |
+
"grad_norm": 0.5965597629547119,
|
679 |
+
"learning_rate": 6.124684077506318e-05,
|
680 |
+
"loss": 1.9464,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.5748148148148148,
|
685 |
+
"grad_norm": 0.5767338275909424,
|
686 |
+
"learning_rate": 6.0404380791912386e-05,
|
687 |
+
"loss": 1.9955,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.5807407407407408,
|
692 |
+
"grad_norm": 0.5822139978408813,
|
693 |
+
"learning_rate": 5.9561920808761584e-05,
|
694 |
+
"loss": 1.9824,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.5866666666666667,
|
699 |
+
"grad_norm": 0.5352127552032471,
|
700 |
+
"learning_rate": 5.871946082561078e-05,
|
701 |
+
"loss": 2.0282,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.5925925925925926,
|
706 |
+
"grad_norm": 0.4747357964515686,
|
707 |
+
"learning_rate": 5.787700084245998e-05,
|
708 |
+
"loss": 1.9458,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.5985185185185186,
|
713 |
+
"grad_norm": 0.6914563775062561,
|
714 |
+
"learning_rate": 5.703454085930918e-05,
|
715 |
+
"loss": 1.8725,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.6044444444444445,
|
720 |
+
"grad_norm": 0.5494988560676575,
|
721 |
+
"learning_rate": 5.6192080876158384e-05,
|
722 |
+
"loss": 1.986,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.6103703703703703,
|
727 |
+
"grad_norm": 0.5098171830177307,
|
728 |
+
"learning_rate": 5.534962089300758e-05,
|
729 |
+
"loss": 1.8683,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.6162962962962963,
|
734 |
+
"grad_norm": 0.6599770784378052,
|
735 |
+
"learning_rate": 5.450716090985678e-05,
|
736 |
+
"loss": 1.7654,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.6222222222222222,
|
741 |
+
"grad_norm": 0.6061760783195496,
|
742 |
+
"learning_rate": 5.366470092670598e-05,
|
743 |
+
"loss": 1.9257,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.6281481481481481,
|
748 |
+
"grad_norm": 0.4598886966705322,
|
749 |
+
"learning_rate": 5.282224094355518e-05,
|
750 |
+
"loss": 1.8542,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.6340740740740741,
|
755 |
+
"grad_norm": 0.7132225632667542,
|
756 |
+
"learning_rate": 5.1979780960404376e-05,
|
757 |
+
"loss": 1.878,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.64,
|
762 |
+
"grad_norm": 0.47084617614746094,
|
763 |
+
"learning_rate": 5.113732097725358e-05,
|
764 |
+
"loss": 1.785,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.6459259259259259,
|
769 |
+
"grad_norm": 0.4628468453884125,
|
770 |
+
"learning_rate": 5.029486099410278e-05,
|
771 |
+
"loss": 1.6897,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.6518518518518519,
|
776 |
+
"grad_norm": 0.4679886996746063,
|
777 |
+
"learning_rate": 4.9452401010951984e-05,
|
778 |
+
"loss": 1.7765,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.6577777777777778,
|
783 |
+
"grad_norm": 0.6136245727539062,
|
784 |
+
"learning_rate": 4.860994102780118e-05,
|
785 |
+
"loss": 1.7136,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.6637037037037037,
|
790 |
+
"grad_norm": 0.5701176524162292,
|
791 |
+
"learning_rate": 4.776748104465038e-05,
|
792 |
+
"loss": 1.9895,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.6696296296296296,
|
797 |
+
"grad_norm": 0.5996720194816589,
|
798 |
+
"learning_rate": 4.692502106149958e-05,
|
799 |
+
"loss": 1.9563,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.6755555555555556,
|
804 |
+
"grad_norm": 0.5536661744117737,
|
805 |
+
"learning_rate": 4.608256107834878e-05,
|
806 |
+
"loss": 1.8388,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.6814814814814815,
|
811 |
+
"grad_norm": 0.47468143701553345,
|
812 |
+
"learning_rate": 4.5240101095197975e-05,
|
813 |
+
"loss": 1.8644,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.6874074074074074,
|
818 |
+
"grad_norm": 0.5488613843917847,
|
819 |
+
"learning_rate": 4.439764111204718e-05,
|
820 |
+
"loss": 1.8448,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.6933333333333334,
|
825 |
+
"grad_norm": 0.5627337098121643,
|
826 |
+
"learning_rate": 4.355518112889638e-05,
|
827 |
+
"loss": 1.8129,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.6992592592592592,
|
832 |
+
"grad_norm": 0.5869198441505432,
|
833 |
+
"learning_rate": 4.271272114574558e-05,
|
834 |
+
"loss": 1.8029,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.7051851851851851,
|
839 |
+
"grad_norm": 0.5446140170097351,
|
840 |
+
"learning_rate": 4.1870261162594775e-05,
|
841 |
+
"loss": 1.7783,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.7111111111111111,
|
846 |
+
"grad_norm": 0.6113932728767395,
|
847 |
+
"learning_rate": 4.102780117944398e-05,
|
848 |
+
"loss": 1.7782,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.717037037037037,
|
853 |
+
"grad_norm": 0.49301135540008545,
|
854 |
+
"learning_rate": 4.018534119629318e-05,
|
855 |
+
"loss": 1.7719,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.7229629629629629,
|
860 |
+
"grad_norm": 0.6062334179878235,
|
861 |
+
"learning_rate": 3.934288121314238e-05,
|
862 |
+
"loss": 1.8681,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.7288888888888889,
|
867 |
+
"grad_norm": 0.4924413561820984,
|
868 |
+
"learning_rate": 3.850042122999158e-05,
|
869 |
+
"loss": 1.7276,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.7348148148148148,
|
874 |
+
"grad_norm": 0.5645489692687988,
|
875 |
+
"learning_rate": 3.765796124684078e-05,
|
876 |
+
"loss": 1.8095,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.7407407407407407,
|
881 |
+
"grad_norm": 0.5494862198829651,
|
882 |
+
"learning_rate": 3.681550126368998e-05,
|
883 |
+
"loss": 1.9272,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.7466666666666667,
|
888 |
+
"grad_norm": 0.45363616943359375,
|
889 |
+
"learning_rate": 3.597304128053918e-05,
|
890 |
+
"loss": 1.6991,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.7525925925925926,
|
895 |
+
"grad_norm": 0.5172736644744873,
|
896 |
+
"learning_rate": 3.5130581297388375e-05,
|
897 |
+
"loss": 1.6942,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.7585185185185185,
|
902 |
+
"grad_norm": 0.5237290859222412,
|
903 |
+
"learning_rate": 3.4288121314237574e-05,
|
904 |
+
"loss": 1.834,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.7644444444444445,
|
909 |
+
"grad_norm": 0.685662031173706,
|
910 |
+
"learning_rate": 3.344566133108677e-05,
|
911 |
+
"loss": 1.6324,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.7703703703703704,
|
916 |
+
"grad_norm": 0.5649334192276001,
|
917 |
+
"learning_rate": 3.260320134793598e-05,
|
918 |
+
"loss": 1.9939,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.7762962962962963,
|
923 |
+
"grad_norm": 0.5103081464767456,
|
924 |
+
"learning_rate": 3.1760741364785175e-05,
|
925 |
+
"loss": 1.7158,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.7822222222222223,
|
930 |
+
"grad_norm": 0.5990691781044006,
|
931 |
+
"learning_rate": 3.0918281381634374e-05,
|
932 |
+
"loss": 1.8249,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.7881481481481482,
|
937 |
+
"grad_norm": 0.4889729917049408,
|
938 |
+
"learning_rate": 3.0075821398483572e-05,
|
939 |
+
"loss": 2.0304,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.794074074074074,
|
944 |
+
"grad_norm": 0.5077411532402039,
|
945 |
+
"learning_rate": 2.923336141533277e-05,
|
946 |
+
"loss": 1.8993,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.8,
|
951 |
+
"grad_norm": 0.4161909818649292,
|
952 |
+
"learning_rate": 2.8390901432181972e-05,
|
953 |
+
"loss": 1.8544,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.8059259259259259,
|
958 |
+
"grad_norm": 0.3950774669647217,
|
959 |
+
"learning_rate": 2.754844144903117e-05,
|
960 |
+
"loss": 1.9056,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.8118518518518518,
|
965 |
+
"grad_norm": 0.4794867932796478,
|
966 |
+
"learning_rate": 2.670598146588037e-05,
|
967 |
+
"loss": 1.9091,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.8177777777777778,
|
972 |
+
"grad_norm": 0.5798467397689819,
|
973 |
+
"learning_rate": 2.586352148272957e-05,
|
974 |
+
"loss": 1.7677,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.8237037037037037,
|
979 |
+
"grad_norm": 0.42939475178718567,
|
980 |
+
"learning_rate": 2.502106149957877e-05,
|
981 |
+
"loss": 1.4855,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.8296296296296296,
|
986 |
+
"grad_norm": 0.5029926300048828,
|
987 |
+
"learning_rate": 2.417860151642797e-05,
|
988 |
+
"loss": 1.7523,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.8355555555555556,
|
993 |
+
"grad_norm": 0.5045111775398254,
|
994 |
+
"learning_rate": 2.333614153327717e-05,
|
995 |
+
"loss": 1.7036,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.8414814814814815,
|
1000 |
+
"grad_norm": 0.45949357748031616,
|
1001 |
+
"learning_rate": 2.249368155012637e-05,
|
1002 |
+
"loss": 1.7477,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.8474074074074074,
|
1007 |
+
"grad_norm": 0.6068927645683289,
|
1008 |
+
"learning_rate": 2.165122156697557e-05,
|
1009 |
+
"loss": 1.7256,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.8533333333333334,
|
1014 |
+
"grad_norm": 0.47375020384788513,
|
1015 |
+
"learning_rate": 2.080876158382477e-05,
|
1016 |
+
"loss": 1.6821,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.8592592592592593,
|
1021 |
+
"grad_norm": 0.6090928316116333,
|
1022 |
+
"learning_rate": 1.996630160067397e-05,
|
1023 |
+
"loss": 1.7821,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.8651851851851852,
|
1028 |
+
"grad_norm": 0.4479965567588806,
|
1029 |
+
"learning_rate": 1.912384161752317e-05,
|
1030 |
+
"loss": 1.7752,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.8711111111111111,
|
1035 |
+
"grad_norm": 0.502055287361145,
|
1036 |
+
"learning_rate": 1.828138163437237e-05,
|
1037 |
+
"loss": 1.7502,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.8770370370370371,
|
1042 |
+
"grad_norm": 0.5576585531234741,
|
1043 |
+
"learning_rate": 1.7438921651221567e-05,
|
1044 |
+
"loss": 1.7943,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.882962962962963,
|
1049 |
+
"grad_norm": 0.443153977394104,
|
1050 |
+
"learning_rate": 1.659646166807077e-05,
|
1051 |
+
"loss": 1.7002,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.8888888888888888,
|
1056 |
+
"grad_norm": 0.5595043301582336,
|
1057 |
+
"learning_rate": 1.5754001684919967e-05,
|
1058 |
+
"loss": 1.8032,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.8948148148148148,
|
1063 |
+
"grad_norm": 0.5037031769752502,
|
1064 |
+
"learning_rate": 1.4911541701769167e-05,
|
1065 |
+
"loss": 1.9339,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.9007407407407407,
|
1070 |
+
"grad_norm": 0.592262327671051,
|
1071 |
+
"learning_rate": 1.4069081718618365e-05,
|
1072 |
+
"loss": 1.7636,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.9066666666666666,
|
1077 |
+
"grad_norm": 0.48528340458869934,
|
1078 |
+
"learning_rate": 1.3226621735467565e-05,
|
1079 |
+
"loss": 1.5757,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.9125925925925926,
|
1084 |
+
"grad_norm": 0.5274297595024109,
|
1085 |
+
"learning_rate": 1.2384161752316765e-05,
|
1086 |
+
"loss": 1.7721,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.9185185185185185,
|
1091 |
+
"grad_norm": 0.5855200886726379,
|
1092 |
+
"learning_rate": 1.1541701769165965e-05,
|
1093 |
+
"loss": 1.8039,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.9244444444444444,
|
1098 |
+
"grad_norm": 0.46873489022254944,
|
1099 |
+
"learning_rate": 1.0699241786015165e-05,
|
1100 |
+
"loss": 1.7628,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.9303703703703704,
|
1105 |
+
"grad_norm": 0.4692378044128418,
|
1106 |
+
"learning_rate": 9.856781802864365e-06,
|
1107 |
+
"loss": 1.6898,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.9362962962962963,
|
1112 |
+
"grad_norm": 0.4950474500656128,
|
1113 |
+
"learning_rate": 9.014321819713565e-06,
|
1114 |
+
"loss": 1.882,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.9422222222222222,
|
1119 |
+
"grad_norm": 0.5897673964500427,
|
1120 |
+
"learning_rate": 8.171861836562763e-06,
|
1121 |
+
"loss": 1.8277,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.9481481481481482,
|
1126 |
+
"grad_norm": 0.5677273273468018,
|
1127 |
+
"learning_rate": 7.329401853411963e-06,
|
1128 |
+
"loss": 1.771,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.9540740740740741,
|
1133 |
+
"grad_norm": 1.664191484451294,
|
1134 |
+
"learning_rate": 6.4869418702611624e-06,
|
1135 |
+
"loss": 1.7564,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.96,
|
1140 |
+
"grad_norm": 0.45749393105506897,
|
1141 |
+
"learning_rate": 5.644481887110362e-06,
|
1142 |
+
"loss": 1.7552,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.965925925925926,
|
1147 |
+
"grad_norm": 0.6322038769721985,
|
1148 |
+
"learning_rate": 4.802021903959562e-06,
|
1149 |
+
"loss": 2.0075,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.9718518518518519,
|
1154 |
+
"grad_norm": 0.5579991340637207,
|
1155 |
+
"learning_rate": 3.9595619208087616e-06,
|
1156 |
+
"loss": 1.8782,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.9777777777777777,
|
1161 |
+
"grad_norm": 0.48121675848960876,
|
1162 |
+
"learning_rate": 3.1171019376579616e-06,
|
1163 |
+
"loss": 1.7393,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.9837037037037037,
|
1168 |
+
"grad_norm": 0.5826757550239563,
|
1169 |
+
"learning_rate": 2.274641954507161e-06,
|
1170 |
+
"loss": 2.0148,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.9896296296296296,
|
1175 |
+
"grad_norm": 0.513190746307373,
|
1176 |
+
"learning_rate": 1.4321819713563607e-06,
|
1177 |
+
"loss": 1.6227,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.9955555555555555,
|
1182 |
+
"grad_norm": 0.5289293527603149,
|
1183 |
+
"learning_rate": 5.897219882055603e-07,
|
1184 |
+
"loss": 1.7117,
|
1185 |
+
"step": 1680
|
1186 |
+
}
|
1187 |
+
],
|
1188 |
+
"logging_steps": 10,
|
1189 |
+
"max_steps": 1687,
|
1190 |
+
"num_input_tokens_seen": 0,
|
1191 |
+
"num_train_epochs": 1,
|
1192 |
+
"save_steps": 5000,
|
1193 |
+
"stateful_callbacks": {
|
1194 |
+
"TrainerControl": {
|
1195 |
+
"args": {
|
1196 |
+
"should_epoch_stop": false,
|
1197 |
+
"should_evaluate": false,
|
1198 |
+
"should_log": false,
|
1199 |
+
"should_save": true,
|
1200 |
+
"should_training_stop": true
|
1201 |
+
},
|
1202 |
+
"attributes": {}
|
1203 |
+
}
|
1204 |
+
},
|
1205 |
+
"total_flos": 6.639446638618214e+16,
|
1206 |
+
"train_batch_size": 4,
|
1207 |
+
"trial_name": null,
|
1208 |
+
"trial_params": null
|
1209 |
+
}
|
checkpoint-1687/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:18f379789a412824aa75f55527d6dd364a65b19a1b15e49a719ab8565c81e3a1
|
3 |
+
size 5176
|
config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "appvoid/arco-mini-run-2",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"head_dim": 96,
|
11 |
+
"hidden_act": "silu",
|
12 |
+
"hidden_size": 1536,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"max_position_embeddings": 2048,
|
16 |
+
"mlp_bias": false,
|
17 |
+
"model_type": "llama",
|
18 |
+
"num_attention_heads": 8,
|
19 |
+
"num_hidden_layers": 8,
|
20 |
+
"num_key_value_heads": 8,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"pretraining_tp": 1,
|
23 |
+
"rms_norm_eps": 1e-05,
|
24 |
+
"rope_scaling": null,
|
25 |
+
"rope_theta": 100000,
|
26 |
+
"sliding_window": null,
|
27 |
+
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "float32",
|
29 |
+
"transformers_version": "4.45.1",
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 32003
|
32 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.45.1"
|
7 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b9d27ac4b295e4746555823edebfe9e7fba8277f49704ed1b90b09f0bca4b24
|
3 |
+
size 997345472
|
special_tokens_map.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "[BOS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
+
"content": "[EOS]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"pad_token": {
|
24 |
+
"content": "[PAD]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"sep_token": {
|
31 |
+
"content": "</s>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"unk_token": {
|
38 |
+
"content": "<unk>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
}
|
44 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "[PAD]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "[BOS]",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "[EOS]",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"additional_special_tokens": [],
|
56 |
+
"bos_token": "[BOS]",
|
57 |
+
"clean_up_tokenization_spaces": false,
|
58 |
+
"cls_token": "</s>",
|
59 |
+
"eos_token": "[EOS]",
|
60 |
+
"legacy": true,
|
61 |
+
"model_max_length": 1000000000000000019884624838656,
|
62 |
+
"pad_token": "[PAD]",
|
63 |
+
"sep_token": "</s>",
|
64 |
+
"sp_model_kwargs": {},
|
65 |
+
"spaces_between_special_tokens": false,
|
66 |
+
"tokenizer_class": "LlamaTokenizer",
|
67 |
+
"unk_token": "<unk>",
|
68 |
+
"use_default_system_prompt": false
|
69 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:18f379789a412824aa75f55527d6dd364a65b19a1b15e49a719ab8565c81e3a1
|
3 |
+
size 5176
|