Public Release
Browse files- all_results.json +15 -0
- config.json +25 -0
- eval_results.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- train_results.json +8 -0
- trainer_state.json +1147 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 128.95,
|
3 |
+
"eval_accuracy": 0.7366529161278139,
|
4 |
+
"eval_loss": 1.1318359375,
|
5 |
+
"eval_runtime": 325.6978,
|
6 |
+
"eval_samples": 125529,
|
7 |
+
"eval_samples_per_second": 385.416,
|
8 |
+
"eval_steps_per_second": 1.508,
|
9 |
+
"perplexity": 3.101345152387537,
|
10 |
+
"train_loss": 0.110439400390625,
|
11 |
+
"train_runtime": 5222.9883,
|
12 |
+
"train_samples": 2976812,
|
13 |
+
"train_samples_per_second": 73521.13,
|
14 |
+
"train_steps_per_second": 35.899
|
15 |
+
}
|
config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/grand/projects/SolarWindowsADSP/pankaj/polaris_outputs/BERT-uncased-from-scratch/checkpoint-170000",
|
3 |
+
"architectures": [
|
4 |
+
"BertForMaskedLM"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.1,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 3072,
|
13 |
+
"layer_norm_eps": 1e-12,
|
14 |
+
"max_position_embeddings": 512,
|
15 |
+
"model_type": "bert",
|
16 |
+
"num_attention_heads": 12,
|
17 |
+
"num_hidden_layers": 12,
|
18 |
+
"pad_token_id": 0,
|
19 |
+
"position_embedding_type": "absolute",
|
20 |
+
"torch_dtype": "float16",
|
21 |
+
"transformers_version": "4.25.1",
|
22 |
+
"type_vocab_size": 2,
|
23 |
+
"use_cache": true,
|
24 |
+
"vocab_size": 30522
|
25 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 128.95,
|
3 |
+
"eval_accuracy": 0.7366529161278139,
|
4 |
+
"eval_loss": 1.1318359375,
|
5 |
+
"eval_runtime": 325.6978,
|
6 |
+
"eval_samples": 125529,
|
7 |
+
"eval_samples_per_second": 385.416,
|
8 |
+
"eval_steps_per_second": 1.508,
|
9 |
+
"perplexity": 3.101345152387537
|
10 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:906e52a8a17ee9b4cc65c68ddc53fa4c36397584d5c42bdb7f8d0ca61ee77180
|
3 |
+
size 219061539
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_lower_case": true,
|
4 |
+
"mask_token": "[MASK]",
|
5 |
+
"model_max_length": 512,
|
6 |
+
"name_or_path": "/grand/projects/SolarWindowsADSP/pankaj/polaris_outputs/tokenizer-bert-base-uncased-all",
|
7 |
+
"pad_token": "[PAD]",
|
8 |
+
"sep_token": "[SEP]",
|
9 |
+
"special_tokens_map_file": null,
|
10 |
+
"strip_accents": null,
|
11 |
+
"tokenize_chinese_chars": true,
|
12 |
+
"tokenizer_class": "BertTokenizer",
|
13 |
+
"unk_token": "[UNK]"
|
14 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 128.95,
|
3 |
+
"train_loss": 0.110439400390625,
|
4 |
+
"train_runtime": 5222.9883,
|
5 |
+
"train_samples": 2976812,
|
6 |
+
"train_samples_per_second": 73521.13,
|
7 |
+
"train_steps_per_second": 35.899
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 128.95460797799174,
|
5 |
+
"global_step": 187500,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.69,
|
12 |
+
"learning_rate": 7.864000000000001e-06,
|
13 |
+
"loss": 8.2609,
|
14 |
+
"step": 1000
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.38,
|
18 |
+
"learning_rate": 1.5856e-05,
|
19 |
+
"loss": 6.5066,
|
20 |
+
"step": 2000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 2.06,
|
24 |
+
"learning_rate": 2.3848e-05,
|
25 |
+
"loss": 6.1594,
|
26 |
+
"step": 3000
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.75,
|
30 |
+
"learning_rate": 3.184000000000001e-05,
|
31 |
+
"loss": 5.9447,
|
32 |
+
"step": 4000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 3.44,
|
36 |
+
"learning_rate": 3.9832e-05,
|
37 |
+
"loss": 5.798,
|
38 |
+
"step": 5000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 4.13,
|
42 |
+
"learning_rate": 4.7824e-05,
|
43 |
+
"loss": 5.6962,
|
44 |
+
"step": 6000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 4.81,
|
48 |
+
"learning_rate": 5.5816e-05,
|
49 |
+
"loss": 5.621,
|
50 |
+
"step": 7000
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 5.5,
|
54 |
+
"learning_rate": 6.380800000000001e-05,
|
55 |
+
"loss": 5.5589,
|
56 |
+
"step": 8000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 6.19,
|
60 |
+
"learning_rate": 7.18e-05,
|
61 |
+
"loss": 5.5164,
|
62 |
+
"step": 9000
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 6.88,
|
66 |
+
"learning_rate": 7.9792e-05,
|
67 |
+
"loss": 5.4815,
|
68 |
+
"step": 10000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 7.57,
|
72 |
+
"learning_rate": 7.95614647887324e-05,
|
73 |
+
"loss": 5.4511,
|
74 |
+
"step": 11000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 8.25,
|
78 |
+
"learning_rate": 7.911121126760565e-05,
|
79 |
+
"loss": 5.4282,
|
80 |
+
"step": 12000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 8.94,
|
84 |
+
"learning_rate": 7.866095774647888e-05,
|
85 |
+
"loss": 5.4113,
|
86 |
+
"step": 13000
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 9.63,
|
90 |
+
"learning_rate": 7.821070422535212e-05,
|
91 |
+
"loss": 5.396,
|
92 |
+
"step": 14000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 10.32,
|
96 |
+
"learning_rate": 7.776045070422535e-05,
|
97 |
+
"loss": 5.3815,
|
98 |
+
"step": 15000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 11.0,
|
102 |
+
"learning_rate": 7.73101971830986e-05,
|
103 |
+
"loss": 5.3724,
|
104 |
+
"step": 16000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 11.69,
|
108 |
+
"learning_rate": 7.685994366197184e-05,
|
109 |
+
"loss": 5.3629,
|
110 |
+
"step": 17000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 12.38,
|
114 |
+
"learning_rate": 7.640969014084507e-05,
|
115 |
+
"loss": 5.3524,
|
116 |
+
"step": 18000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 13.07,
|
120 |
+
"learning_rate": 7.595943661971832e-05,
|
121 |
+
"loss": 5.3473,
|
122 |
+
"step": 19000
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 13.76,
|
126 |
+
"learning_rate": 7.550918309859156e-05,
|
127 |
+
"loss": 5.3371,
|
128 |
+
"step": 20000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 14.44,
|
132 |
+
"learning_rate": 7.505892957746479e-05,
|
133 |
+
"loss": 5.3312,
|
134 |
+
"step": 21000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 15.13,
|
138 |
+
"learning_rate": 7.460867605633804e-05,
|
139 |
+
"loss": 5.328,
|
140 |
+
"step": 22000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 15.82,
|
144 |
+
"learning_rate": 7.415842253521126e-05,
|
145 |
+
"loss": 5.3214,
|
146 |
+
"step": 23000
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 16.51,
|
150 |
+
"learning_rate": 7.370816901408451e-05,
|
151 |
+
"loss": 5.2554,
|
152 |
+
"step": 24000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 17.19,
|
156 |
+
"learning_rate": 7.325791549295775e-05,
|
157 |
+
"loss": 4.7986,
|
158 |
+
"step": 25000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 17.88,
|
162 |
+
"learning_rate": 7.2807661971831e-05,
|
163 |
+
"loss": 3.9095,
|
164 |
+
"step": 26000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 18.57,
|
168 |
+
"learning_rate": 7.235740845070423e-05,
|
169 |
+
"loss": 2.6754,
|
170 |
+
"step": 27000
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 19.26,
|
174 |
+
"learning_rate": 7.190715492957747e-05,
|
175 |
+
"loss": 2.3377,
|
176 |
+
"step": 28000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 19.94,
|
180 |
+
"learning_rate": 7.145690140845072e-05,
|
181 |
+
"loss": 2.1672,
|
182 |
+
"step": 29000
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 20.63,
|
186 |
+
"learning_rate": 7.100664788732395e-05,
|
187 |
+
"loss": 2.0414,
|
188 |
+
"step": 30000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 21.32,
|
192 |
+
"learning_rate": 7.055639436619719e-05,
|
193 |
+
"loss": 1.9491,
|
194 |
+
"step": 31000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 22.01,
|
198 |
+
"learning_rate": 7.010614084507043e-05,
|
199 |
+
"loss": 1.8796,
|
200 |
+
"step": 32000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 22.7,
|
204 |
+
"learning_rate": 6.965588732394366e-05,
|
205 |
+
"loss": 1.8244,
|
206 |
+
"step": 33000
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 23.38,
|
210 |
+
"learning_rate": 6.920563380281691e-05,
|
211 |
+
"loss": 1.7778,
|
212 |
+
"step": 34000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 24.07,
|
216 |
+
"learning_rate": 6.875538028169015e-05,
|
217 |
+
"loss": 1.7414,
|
218 |
+
"step": 35000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 24.76,
|
222 |
+
"learning_rate": 6.830512676056338e-05,
|
223 |
+
"loss": 1.7093,
|
224 |
+
"step": 36000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 25.45,
|
228 |
+
"learning_rate": 6.785487323943663e-05,
|
229 |
+
"loss": 1.68,
|
230 |
+
"step": 37000
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 26.13,
|
234 |
+
"learning_rate": 6.740461971830987e-05,
|
235 |
+
"loss": 1.6544,
|
236 |
+
"step": 38000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 26.82,
|
240 |
+
"learning_rate": 6.69543661971831e-05,
|
241 |
+
"loss": 1.6316,
|
242 |
+
"step": 39000
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 27.51,
|
246 |
+
"learning_rate": 6.650411267605634e-05,
|
247 |
+
"loss": 1.611,
|
248 |
+
"step": 40000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 28.2,
|
252 |
+
"learning_rate": 6.605385915492959e-05,
|
253 |
+
"loss": 1.5917,
|
254 |
+
"step": 41000
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 28.89,
|
258 |
+
"learning_rate": 6.560360563380282e-05,
|
259 |
+
"loss": 1.5737,
|
260 |
+
"step": 42000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 29.57,
|
264 |
+
"learning_rate": 6.515335211267606e-05,
|
265 |
+
"loss": 1.5566,
|
266 |
+
"step": 43000
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 30.26,
|
270 |
+
"learning_rate": 6.47030985915493e-05,
|
271 |
+
"loss": 1.5425,
|
272 |
+
"step": 44000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 30.95,
|
276 |
+
"learning_rate": 6.425284507042254e-05,
|
277 |
+
"loss": 1.5281,
|
278 |
+
"step": 45000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 31.64,
|
282 |
+
"learning_rate": 6.380259154929578e-05,
|
283 |
+
"loss": 1.5159,
|
284 |
+
"step": 46000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 32.32,
|
288 |
+
"learning_rate": 6.335233802816903e-05,
|
289 |
+
"loss": 1.504,
|
290 |
+
"step": 47000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 33.01,
|
294 |
+
"learning_rate": 6.290208450704226e-05,
|
295 |
+
"loss": 1.4925,
|
296 |
+
"step": 48000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 33.7,
|
300 |
+
"learning_rate": 6.24518309859155e-05,
|
301 |
+
"loss": 1.4811,
|
302 |
+
"step": 49000
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 34.39,
|
306 |
+
"learning_rate": 6.200157746478873e-05,
|
307 |
+
"loss": 1.4724,
|
308 |
+
"step": 50000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 35.08,
|
312 |
+
"learning_rate": 6.155132394366198e-05,
|
313 |
+
"loss": 1.4627,
|
314 |
+
"step": 51000
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 35.76,
|
318 |
+
"learning_rate": 6.110107042253522e-05,
|
319 |
+
"loss": 1.4542,
|
320 |
+
"step": 52000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 36.45,
|
324 |
+
"learning_rate": 6.0650816901408453e-05,
|
325 |
+
"loss": 1.4449,
|
326 |
+
"step": 53000
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 37.14,
|
330 |
+
"learning_rate": 6.0200563380281696e-05,
|
331 |
+
"loss": 1.4365,
|
332 |
+
"step": 54000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 37.83,
|
336 |
+
"learning_rate": 5.975030985915493e-05,
|
337 |
+
"loss": 1.4287,
|
338 |
+
"step": 55000
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 38.51,
|
342 |
+
"learning_rate": 5.9300056338028174e-05,
|
343 |
+
"loss": 1.4216,
|
344 |
+
"step": 56000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 39.2,
|
348 |
+
"learning_rate": 5.8849802816901416e-05,
|
349 |
+
"loss": 1.414,
|
350 |
+
"step": 57000
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 39.89,
|
354 |
+
"learning_rate": 5.839954929577465e-05,
|
355 |
+
"loss": 1.4082,
|
356 |
+
"step": 58000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 40.58,
|
360 |
+
"learning_rate": 5.7949295774647894e-05,
|
361 |
+
"loss": 1.4009,
|
362 |
+
"step": 59000
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 41.27,
|
366 |
+
"learning_rate": 5.7499042253521136e-05,
|
367 |
+
"loss": 1.3951,
|
368 |
+
"step": 60000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 41.95,
|
372 |
+
"learning_rate": 5.7048788732394365e-05,
|
373 |
+
"loss": 1.3894,
|
374 |
+
"step": 61000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 42.64,
|
378 |
+
"learning_rate": 5.659853521126761e-05,
|
379 |
+
"loss": 1.3837,
|
380 |
+
"step": 62000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 43.33,
|
384 |
+
"learning_rate": 5.614828169014085e-05,
|
385 |
+
"loss": 1.3782,
|
386 |
+
"step": 63000
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 44.02,
|
390 |
+
"learning_rate": 5.569802816901409e-05,
|
391 |
+
"loss": 1.3711,
|
392 |
+
"step": 64000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 44.7,
|
396 |
+
"learning_rate": 5.524777464788733e-05,
|
397 |
+
"loss": 1.3684,
|
398 |
+
"step": 65000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 45.39,
|
402 |
+
"learning_rate": 5.479752112676057e-05,
|
403 |
+
"loss": 1.362,
|
404 |
+
"step": 66000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 46.08,
|
408 |
+
"learning_rate": 5.434726760563381e-05,
|
409 |
+
"loss": 1.3588,
|
410 |
+
"step": 67000
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 46.77,
|
414 |
+
"learning_rate": 5.389701408450704e-05,
|
415 |
+
"loss": 1.3527,
|
416 |
+
"step": 68000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 47.46,
|
420 |
+
"learning_rate": 5.3446760563380284e-05,
|
421 |
+
"loss": 1.3484,
|
422 |
+
"step": 69000
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 48.14,
|
426 |
+
"learning_rate": 5.2996507042253526e-05,
|
427 |
+
"loss": 1.3441,
|
428 |
+
"step": 70000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 48.83,
|
432 |
+
"learning_rate": 5.254625352112676e-05,
|
433 |
+
"loss": 1.3403,
|
434 |
+
"step": 71000
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 49.52,
|
438 |
+
"learning_rate": 5.2096000000000004e-05,
|
439 |
+
"loss": 1.3362,
|
440 |
+
"step": 72000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 50.21,
|
444 |
+
"learning_rate": 5.1645746478873246e-05,
|
445 |
+
"loss": 1.3325,
|
446 |
+
"step": 73000
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 50.89,
|
450 |
+
"learning_rate": 5.119549295774648e-05,
|
451 |
+
"loss": 1.3282,
|
452 |
+
"step": 74000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 51.58,
|
456 |
+
"learning_rate": 5.0745239436619724e-05,
|
457 |
+
"loss": 1.3243,
|
458 |
+
"step": 75000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 52.27,
|
462 |
+
"learning_rate": 5.029498591549297e-05,
|
463 |
+
"loss": 1.3211,
|
464 |
+
"step": 76000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 52.96,
|
468 |
+
"learning_rate": 4.9844732394366195e-05,
|
469 |
+
"loss": 1.3179,
|
470 |
+
"step": 77000
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 53.65,
|
474 |
+
"learning_rate": 4.939447887323944e-05,
|
475 |
+
"loss": 1.3145,
|
476 |
+
"step": 78000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 54.33,
|
480 |
+
"learning_rate": 4.894422535211268e-05,
|
481 |
+
"loss": 1.3101,
|
482 |
+
"step": 79000
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 55.02,
|
486 |
+
"learning_rate": 4.8493971830985916e-05,
|
487 |
+
"loss": 1.3087,
|
488 |
+
"step": 80000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 55.71,
|
492 |
+
"learning_rate": 4.804371830985916e-05,
|
493 |
+
"loss": 1.3034,
|
494 |
+
"step": 81000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 56.4,
|
498 |
+
"learning_rate": 4.75934647887324e-05,
|
499 |
+
"loss": 1.3019,
|
500 |
+
"step": 82000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 57.08,
|
504 |
+
"learning_rate": 4.714321126760564e-05,
|
505 |
+
"loss": 1.2984,
|
506 |
+
"step": 83000
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 57.77,
|
510 |
+
"learning_rate": 4.669295774647888e-05,
|
511 |
+
"loss": 1.2969,
|
512 |
+
"step": 84000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 58.46,
|
516 |
+
"learning_rate": 4.624270422535212e-05,
|
517 |
+
"loss": 1.2925,
|
518 |
+
"step": 85000
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 59.15,
|
522 |
+
"learning_rate": 4.5792450704225356e-05,
|
523 |
+
"loss": 1.2898,
|
524 |
+
"step": 86000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 59.83,
|
528 |
+
"learning_rate": 4.534219718309859e-05,
|
529 |
+
"loss": 1.2878,
|
530 |
+
"step": 87000
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 60.52,
|
534 |
+
"learning_rate": 4.4891943661971834e-05,
|
535 |
+
"loss": 1.2842,
|
536 |
+
"step": 88000
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 61.21,
|
540 |
+
"learning_rate": 4.4441690140845077e-05,
|
541 |
+
"loss": 1.2826,
|
542 |
+
"step": 89000
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 61.9,
|
546 |
+
"learning_rate": 4.399143661971831e-05,
|
547 |
+
"loss": 1.2804,
|
548 |
+
"step": 90000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 62.59,
|
552 |
+
"learning_rate": 4.3541183098591555e-05,
|
553 |
+
"loss": 1.2781,
|
554 |
+
"step": 91000
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 63.27,
|
558 |
+
"learning_rate": 4.30909295774648e-05,
|
559 |
+
"loss": 1.2757,
|
560 |
+
"step": 92000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 63.96,
|
564 |
+
"learning_rate": 4.2640676056338026e-05,
|
565 |
+
"loss": 1.2727,
|
566 |
+
"step": 93000
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 64.65,
|
570 |
+
"learning_rate": 4.219042253521127e-05,
|
571 |
+
"loss": 1.2703,
|
572 |
+
"step": 94000
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 65.34,
|
576 |
+
"learning_rate": 4.174016901408451e-05,
|
577 |
+
"loss": 1.2689,
|
578 |
+
"step": 95000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 66.02,
|
582 |
+
"learning_rate": 4.1289915492957746e-05,
|
583 |
+
"loss": 1.2669,
|
584 |
+
"step": 96000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 66.71,
|
588 |
+
"learning_rate": 4.083966197183099e-05,
|
589 |
+
"loss": 1.2649,
|
590 |
+
"step": 97000
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 67.4,
|
594 |
+
"learning_rate": 4.038940845070423e-05,
|
595 |
+
"loss": 1.2624,
|
596 |
+
"step": 98000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 68.09,
|
600 |
+
"learning_rate": 3.9939154929577466e-05,
|
601 |
+
"loss": 1.2606,
|
602 |
+
"step": 99000
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 68.78,
|
606 |
+
"learning_rate": 3.948890140845071e-05,
|
607 |
+
"loss": 1.2589,
|
608 |
+
"step": 100000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 69.46,
|
612 |
+
"learning_rate": 3.903864788732395e-05,
|
613 |
+
"loss": 1.2574,
|
614 |
+
"step": 101000
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 70.15,
|
618 |
+
"learning_rate": 3.8588394366197187e-05,
|
619 |
+
"loss": 1.2548,
|
620 |
+
"step": 102000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 70.84,
|
624 |
+
"learning_rate": 3.813814084507042e-05,
|
625 |
+
"loss": 1.2534,
|
626 |
+
"step": 103000
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 71.53,
|
630 |
+
"learning_rate": 3.7687887323943664e-05,
|
631 |
+
"loss": 1.252,
|
632 |
+
"step": 104000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 72.21,
|
636 |
+
"learning_rate": 3.723763380281691e-05,
|
637 |
+
"loss": 1.2505,
|
638 |
+
"step": 105000
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 72.9,
|
642 |
+
"learning_rate": 3.678738028169015e-05,
|
643 |
+
"loss": 1.2479,
|
644 |
+
"step": 106000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 73.59,
|
648 |
+
"learning_rate": 3.6337126760563385e-05,
|
649 |
+
"loss": 1.2455,
|
650 |
+
"step": 107000
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 74.28,
|
654 |
+
"learning_rate": 3.588687323943662e-05,
|
655 |
+
"loss": 1.2454,
|
656 |
+
"step": 108000
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 74.97,
|
660 |
+
"learning_rate": 3.543661971830986e-05,
|
661 |
+
"loss": 1.2433,
|
662 |
+
"step": 109000
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 75.65,
|
666 |
+
"learning_rate": 3.49863661971831e-05,
|
667 |
+
"loss": 1.2406,
|
668 |
+
"step": 110000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 76.34,
|
672 |
+
"learning_rate": 3.453611267605634e-05,
|
673 |
+
"loss": 1.239,
|
674 |
+
"step": 111000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 77.03,
|
678 |
+
"learning_rate": 3.408585915492958e-05,
|
679 |
+
"loss": 1.2383,
|
680 |
+
"step": 112000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 77.72,
|
684 |
+
"learning_rate": 3.363560563380282e-05,
|
685 |
+
"loss": 1.2364,
|
686 |
+
"step": 113000
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 78.4,
|
690 |
+
"learning_rate": 3.3185352112676054e-05,
|
691 |
+
"loss": 1.236,
|
692 |
+
"step": 114000
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 79.09,
|
696 |
+
"learning_rate": 3.2735098591549296e-05,
|
697 |
+
"loss": 1.2341,
|
698 |
+
"step": 115000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 79.78,
|
702 |
+
"learning_rate": 3.228484507042254e-05,
|
703 |
+
"loss": 1.2328,
|
704 |
+
"step": 116000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 80.47,
|
708 |
+
"learning_rate": 3.183459154929578e-05,
|
709 |
+
"loss": 1.2316,
|
710 |
+
"step": 117000
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 81.16,
|
714 |
+
"learning_rate": 3.138433802816902e-05,
|
715 |
+
"loss": 1.2297,
|
716 |
+
"step": 118000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 81.84,
|
720 |
+
"learning_rate": 3.093408450704225e-05,
|
721 |
+
"loss": 1.2283,
|
722 |
+
"step": 119000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 82.53,
|
726 |
+
"learning_rate": 3.0483830985915498e-05,
|
727 |
+
"loss": 1.2266,
|
728 |
+
"step": 120000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 83.22,
|
732 |
+
"learning_rate": 3.0033577464788734e-05,
|
733 |
+
"loss": 1.2267,
|
734 |
+
"step": 121000
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 83.91,
|
738 |
+
"learning_rate": 2.9583323943661973e-05,
|
739 |
+
"loss": 1.2253,
|
740 |
+
"step": 122000
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 84.59,
|
744 |
+
"learning_rate": 2.9133070422535215e-05,
|
745 |
+
"loss": 1.2237,
|
746 |
+
"step": 123000
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 85.28,
|
750 |
+
"learning_rate": 2.8682816901408454e-05,
|
751 |
+
"loss": 1.2228,
|
752 |
+
"step": 124000
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 85.97,
|
756 |
+
"learning_rate": 2.8232563380281693e-05,
|
757 |
+
"loss": 1.2214,
|
758 |
+
"step": 125000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 86.66,
|
762 |
+
"learning_rate": 2.7782309859154932e-05,
|
763 |
+
"loss": 1.2214,
|
764 |
+
"step": 126000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 87.35,
|
768 |
+
"learning_rate": 2.733205633802817e-05,
|
769 |
+
"loss": 1.2193,
|
770 |
+
"step": 127000
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 88.03,
|
774 |
+
"learning_rate": 2.6881802816901413e-05,
|
775 |
+
"loss": 1.2171,
|
776 |
+
"step": 128000
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 88.72,
|
780 |
+
"learning_rate": 2.643154929577465e-05,
|
781 |
+
"loss": 1.2166,
|
782 |
+
"step": 129000
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 89.41,
|
786 |
+
"learning_rate": 2.5981295774647888e-05,
|
787 |
+
"loss": 1.2173,
|
788 |
+
"step": 130000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 90.1,
|
792 |
+
"learning_rate": 2.553104225352113e-05,
|
793 |
+
"loss": 1.2138,
|
794 |
+
"step": 131000
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 90.78,
|
798 |
+
"learning_rate": 2.508078873239437e-05,
|
799 |
+
"loss": 1.2139,
|
800 |
+
"step": 132000
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 91.47,
|
804 |
+
"learning_rate": 2.4630535211267605e-05,
|
805 |
+
"loss": 1.2133,
|
806 |
+
"step": 133000
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 92.16,
|
810 |
+
"learning_rate": 2.4180281690140847e-05,
|
811 |
+
"loss": 1.2114,
|
812 |
+
"step": 134000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 92.85,
|
816 |
+
"learning_rate": 2.3730028169014086e-05,
|
817 |
+
"loss": 1.2107,
|
818 |
+
"step": 135000
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 93.54,
|
822 |
+
"learning_rate": 2.327977464788733e-05,
|
823 |
+
"loss": 1.2104,
|
824 |
+
"step": 136000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 94.22,
|
828 |
+
"learning_rate": 2.2829521126760564e-05,
|
829 |
+
"loss": 1.2097,
|
830 |
+
"step": 137000
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 94.91,
|
834 |
+
"learning_rate": 2.2379267605633803e-05,
|
835 |
+
"loss": 1.2085,
|
836 |
+
"step": 138000
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 95.6,
|
840 |
+
"learning_rate": 2.1929014084507045e-05,
|
841 |
+
"loss": 1.2066,
|
842 |
+
"step": 139000
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 96.29,
|
846 |
+
"learning_rate": 2.1478760563380284e-05,
|
847 |
+
"loss": 1.2061,
|
848 |
+
"step": 140000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 96.97,
|
852 |
+
"learning_rate": 2.102850704225352e-05,
|
853 |
+
"loss": 1.206,
|
854 |
+
"step": 141000
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 97.66,
|
858 |
+
"learning_rate": 2.0578253521126762e-05,
|
859 |
+
"loss": 1.2041,
|
860 |
+
"step": 142000
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 98.35,
|
864 |
+
"learning_rate": 2.0128e-05,
|
865 |
+
"loss": 1.2045,
|
866 |
+
"step": 143000
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 99.04,
|
870 |
+
"learning_rate": 1.967774647887324e-05,
|
871 |
+
"loss": 1.2035,
|
872 |
+
"step": 144000
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 99.72,
|
876 |
+
"learning_rate": 1.9227492957746482e-05,
|
877 |
+
"loss": 1.2024,
|
878 |
+
"step": 145000
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 100.41,
|
882 |
+
"learning_rate": 1.877723943661972e-05,
|
883 |
+
"loss": 1.2015,
|
884 |
+
"step": 146000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 101.1,
|
888 |
+
"learning_rate": 1.8326985915492957e-05,
|
889 |
+
"loss": 1.202,
|
890 |
+
"step": 147000
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 101.79,
|
894 |
+
"learning_rate": 1.78767323943662e-05,
|
895 |
+
"loss": 1.2004,
|
896 |
+
"step": 148000
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 102.48,
|
900 |
+
"learning_rate": 1.7426478873239438e-05,
|
901 |
+
"loss": 1.1994,
|
902 |
+
"step": 149000
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 103.16,
|
906 |
+
"learning_rate": 1.6976225352112677e-05,
|
907 |
+
"loss": 1.1981,
|
908 |
+
"step": 150000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 103.85,
|
912 |
+
"learning_rate": 1.6525971830985916e-05,
|
913 |
+
"loss": 1.1981,
|
914 |
+
"step": 151000
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 104.54,
|
918 |
+
"learning_rate": 1.6075718309859155e-05,
|
919 |
+
"loss": 1.1964,
|
920 |
+
"step": 152000
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 105.23,
|
924 |
+
"learning_rate": 1.5625464788732398e-05,
|
925 |
+
"loss": 1.1976,
|
926 |
+
"step": 153000
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 105.91,
|
930 |
+
"learning_rate": 1.5175211267605635e-05,
|
931 |
+
"loss": 1.1964,
|
932 |
+
"step": 154000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 106.6,
|
936 |
+
"learning_rate": 1.4724957746478874e-05,
|
937 |
+
"loss": 1.1957,
|
938 |
+
"step": 155000
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 107.29,
|
942 |
+
"learning_rate": 1.4274704225352114e-05,
|
943 |
+
"loss": 1.1953,
|
944 |
+
"step": 156000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 107.98,
|
948 |
+
"learning_rate": 1.3824450704225353e-05,
|
949 |
+
"loss": 1.1939,
|
950 |
+
"step": 157000
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 108.67,
|
954 |
+
"learning_rate": 1.3374197183098592e-05,
|
955 |
+
"loss": 1.1926,
|
956 |
+
"step": 158000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 109.35,
|
960 |
+
"learning_rate": 1.2923943661971831e-05,
|
961 |
+
"loss": 1.1921,
|
962 |
+
"step": 159000
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 110.04,
|
966 |
+
"learning_rate": 1.2473690140845072e-05,
|
967 |
+
"loss": 1.1924,
|
968 |
+
"step": 160000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 110.73,
|
972 |
+
"learning_rate": 1.2023436619718311e-05,
|
973 |
+
"loss": 1.1912,
|
974 |
+
"step": 161000
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 111.42,
|
978 |
+
"learning_rate": 1.157318309859155e-05,
|
979 |
+
"loss": 1.1909,
|
980 |
+
"step": 162000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 112.1,
|
984 |
+
"learning_rate": 1.1122929577464789e-05,
|
985 |
+
"loss": 1.1908,
|
986 |
+
"step": 163000
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 112.79,
|
990 |
+
"learning_rate": 1.067267605633803e-05,
|
991 |
+
"loss": 1.1897,
|
992 |
+
"step": 164000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 113.48,
|
996 |
+
"learning_rate": 1.022242253521127e-05,
|
997 |
+
"loss": 1.1891,
|
998 |
+
"step": 165000
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 114.17,
|
1002 |
+
"learning_rate": 9.772169014084507e-06,
|
1003 |
+
"loss": 1.1891,
|
1004 |
+
"step": 166000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 114.86,
|
1008 |
+
"learning_rate": 9.321915492957746e-06,
|
1009 |
+
"loss": 1.1884,
|
1010 |
+
"step": 167000
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 115.54,
|
1014 |
+
"learning_rate": 8.871661971830987e-06,
|
1015 |
+
"loss": 1.189,
|
1016 |
+
"step": 168000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 116.23,
|
1020 |
+
"learning_rate": 8.421408450704226e-06,
|
1021 |
+
"loss": 1.1874,
|
1022 |
+
"step": 169000
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 116.92,
|
1026 |
+
"learning_rate": 7.971154929577467e-06,
|
1027 |
+
"loss": 1.187,
|
1028 |
+
"step": 170000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 117.61,
|
1032 |
+
"learning_rate": 7.520901408450705e-06,
|
1033 |
+
"loss": 1.1861,
|
1034 |
+
"step": 171000
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 118.29,
|
1038 |
+
"learning_rate": 7.070647887323944e-06,
|
1039 |
+
"loss": 1.1856,
|
1040 |
+
"step": 172000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 118.98,
|
1044 |
+
"learning_rate": 6.620394366197184e-06,
|
1045 |
+
"loss": 1.1854,
|
1046 |
+
"step": 173000
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 119.67,
|
1050 |
+
"learning_rate": 6.170140845070423e-06,
|
1051 |
+
"loss": 1.1849,
|
1052 |
+
"step": 174000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 120.36,
|
1056 |
+
"learning_rate": 5.719887323943662e-06,
|
1057 |
+
"loss": 1.1848,
|
1058 |
+
"step": 175000
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 121.05,
|
1062 |
+
"learning_rate": 5.269633802816901e-06,
|
1063 |
+
"loss": 1.1852,
|
1064 |
+
"step": 176000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 121.73,
|
1068 |
+
"learning_rate": 4.819380281690141e-06,
|
1069 |
+
"loss": 1.1839,
|
1070 |
+
"step": 177000
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 122.42,
|
1074 |
+
"learning_rate": 4.369126760563381e-06,
|
1075 |
+
"loss": 1.1843,
|
1076 |
+
"step": 178000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 123.11,
|
1080 |
+
"learning_rate": 3.91887323943662e-06,
|
1081 |
+
"loss": 1.1834,
|
1082 |
+
"step": 179000
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 123.8,
|
1086 |
+
"learning_rate": 3.4686197183098598e-06,
|
1087 |
+
"loss": 1.183,
|
1088 |
+
"step": 180000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 124.48,
|
1092 |
+
"learning_rate": 3.018366197183099e-06,
|
1093 |
+
"loss": 1.183,
|
1094 |
+
"step": 181000
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 125.17,
|
1098 |
+
"learning_rate": 2.568112676056338e-06,
|
1099 |
+
"loss": 1.1828,
|
1100 |
+
"step": 182000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 125.86,
|
1104 |
+
"learning_rate": 2.1178591549295775e-06,
|
1105 |
+
"loss": 1.1813,
|
1106 |
+
"step": 183000
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 126.55,
|
1110 |
+
"learning_rate": 1.6676056338028171e-06,
|
1111 |
+
"loss": 1.1819,
|
1112 |
+
"step": 184000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 127.24,
|
1116 |
+
"learning_rate": 1.2173521126760563e-06,
|
1117 |
+
"loss": 1.1819,
|
1118 |
+
"step": 185000
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 127.92,
|
1122 |
+
"learning_rate": 7.670985915492958e-07,
|
1123 |
+
"loss": 1.1809,
|
1124 |
+
"step": 186000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 128.61,
|
1128 |
+
"learning_rate": 3.1684507042253523e-07,
|
1129 |
+
"loss": 1.1809,
|
1130 |
+
"step": 187000
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 128.95,
|
1134 |
+
"step": 187500,
|
1135 |
+
"total_flos": 1.0103830689474203e+20,
|
1136 |
+
"train_loss": 0.110439400390625,
|
1137 |
+
"train_runtime": 5222.9883,
|
1138 |
+
"train_samples_per_second": 73521.13,
|
1139 |
+
"train_steps_per_second": 35.899
|
1140 |
+
}
|
1141 |
+
],
|
1142 |
+
"max_steps": 187500,
|
1143 |
+
"num_train_epochs": 129,
|
1144 |
+
"total_flos": 1.0103830689474203e+20,
|
1145 |
+
"trial_name": null,
|
1146 |
+
"trial_params": null
|
1147 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a2936ccbbb89b1daec3f4da8f80e9c26e43f42798c620bb645316cb02a244a90
|
3 |
+
size 4271
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|