Upload 11 files
Browse files- config.json +43 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- trainer_state.json +857 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "distilbert/distilbert-base-multilingual-cased",
|
3 |
+
"activation": "gelu",
|
4 |
+
"architectures": [
|
5 |
+
"DistilBertForTokenClassification"
|
6 |
+
],
|
7 |
+
"attention_dropout": 0.1,
|
8 |
+
"dim": 768,
|
9 |
+
"dropout": 0.1,
|
10 |
+
"hidden_dim": 3072,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0",
|
13 |
+
"1": "LABEL_1",
|
14 |
+
"2": "LABEL_2",
|
15 |
+
"3": "LABEL_3",
|
16 |
+
"4": "LABEL_4",
|
17 |
+
"5": "LABEL_5",
|
18 |
+
"6": "LABEL_6"
|
19 |
+
},
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"label2id": {
|
22 |
+
"LABEL_0": 0,
|
23 |
+
"LABEL_1": 1,
|
24 |
+
"LABEL_2": 2,
|
25 |
+
"LABEL_3": 3,
|
26 |
+
"LABEL_4": 4,
|
27 |
+
"LABEL_5": 5,
|
28 |
+
"LABEL_6": 6
|
29 |
+
},
|
30 |
+
"max_position_embeddings": 512,
|
31 |
+
"model_type": "distilbert",
|
32 |
+
"n_heads": 12,
|
33 |
+
"n_layers": 6,
|
34 |
+
"output_past": true,
|
35 |
+
"pad_token_id": 0,
|
36 |
+
"qa_dropout": 0.1,
|
37 |
+
"seq_classif_dropout": 0.2,
|
38 |
+
"sinusoidal_pos_embds": false,
|
39 |
+
"tie_weights_": true,
|
40 |
+
"torch_dtype": "float32",
|
41 |
+
"transformers_version": "4.38.1",
|
42 |
+
"vocab_size": 119547
|
43 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84c0bb10949406cb6df26debebce6c9656292ed2b60159c6198cd5ac24eae851
|
3 |
+
size 538970204
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26f85619284e424f80785941a7c41bf6472c0b35bd3ed0af33e104d8e7f80402
|
3 |
+
size 1078001210
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1c40320c990f6d4f4b1a7f099cce71625488a96db8ee382390e1c67b6493ad17
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b6bf7bee8311866377924a92ff23fd8566865c824dac56b32549b589e46b209
|
3 |
+
size 1064
|
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 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_lower_case": false,
|
47 |
+
"mask_token": "[MASK]",
|
48 |
+
"model_max_length": 1000000000000000019884624838656,
|
49 |
+
"pad_token": "[PAD]",
|
50 |
+
"sep_token": "[SEP]",
|
51 |
+
"strip_accents": null,
|
52 |
+
"tokenize_chinese_chars": true,
|
53 |
+
"tokenizer_class": "DistilBertTokenizer",
|
54 |
+
"unk_token": "[UNK]"
|
55 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,857 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.704444837967062,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 38500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"grad_norm": 11.598106384277344,
|
14 |
+
"learning_rate": 1.9873510587163855e-05,
|
15 |
+
"loss": 0.7232,
|
16 |
+
"step": 1000
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"eval_LOC_f1": 0.6290546246963268,
|
21 |
+
"eval_ORG_f1": 0.5215345154455224,
|
22 |
+
"eval_PER_f1": 0.6879167213048609,
|
23 |
+
"eval_loss": 0.5066247582435608,
|
24 |
+
"eval_overall_accuracy": 0.8370397334429099,
|
25 |
+
"eval_overall_f1": 0.6156872111156381,
|
26 |
+
"eval_overall_precision": 0.6129916634028982,
|
27 |
+
"eval_overall_recall": 0.6184065701464736,
|
28 |
+
"eval_runtime": 273.4377,
|
29 |
+
"eval_samples_per_second": 240.274,
|
30 |
+
"eval_steps_per_second": 1.88,
|
31 |
+
"step": 1000
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.09,
|
35 |
+
"grad_norm": 10.799552917480469,
|
36 |
+
"learning_rate": 1.974702117432771e-05,
|
37 |
+
"loss": 0.5027,
|
38 |
+
"step": 2000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.09,
|
42 |
+
"eval_LOC_f1": 0.7183374430474798,
|
43 |
+
"eval_ORG_f1": 0.5772430933256492,
|
44 |
+
"eval_PER_f1": 0.7319963163818684,
|
45 |
+
"eval_loss": 0.4309352934360504,
|
46 |
+
"eval_overall_accuracy": 0.8618575027245279,
|
47 |
+
"eval_overall_f1": 0.6810770980734424,
|
48 |
+
"eval_overall_precision": 0.6907076628408085,
|
49 |
+
"eval_overall_recall": 0.6717113989783535,
|
50 |
+
"eval_runtime": 510.4367,
|
51 |
+
"eval_samples_per_second": 128.713,
|
52 |
+
"eval_steps_per_second": 1.007,
|
53 |
+
"step": 2000
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.13,
|
57 |
+
"grad_norm": 6.027167797088623,
|
58 |
+
"learning_rate": 1.9620531761491565e-05,
|
59 |
+
"loss": 0.4459,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.13,
|
64 |
+
"eval_LOC_f1": 0.725799810401126,
|
65 |
+
"eval_ORG_f1": 0.6044215496887744,
|
66 |
+
"eval_PER_f1": 0.7564098621149212,
|
67 |
+
"eval_loss": 0.40737923979759216,
|
68 |
+
"eval_overall_accuracy": 0.867908783401521,
|
69 |
+
"eval_overall_f1": 0.7006346252072851,
|
70 |
+
"eval_overall_precision": 0.6948635032545487,
|
71 |
+
"eval_overall_recall": 0.706502413004826,
|
72 |
+
"eval_runtime": 385.809,
|
73 |
+
"eval_samples_per_second": 170.292,
|
74 |
+
"eval_steps_per_second": 1.332,
|
75 |
+
"step": 3000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.18,
|
79 |
+
"grad_norm": 3.919013023376465,
|
80 |
+
"learning_rate": 1.949404234865542e-05,
|
81 |
+
"loss": 0.4238,
|
82 |
+
"step": 4000
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.18,
|
86 |
+
"eval_LOC_f1": 0.7514409560614181,
|
87 |
+
"eval_ORG_f1": 0.6140201882946715,
|
88 |
+
"eval_PER_f1": 0.7751705876362154,
|
89 |
+
"eval_loss": 0.3706400394439697,
|
90 |
+
"eval_overall_accuracy": 0.8801371494589654,
|
91 |
+
"eval_overall_f1": 0.7200897664191354,
|
92 |
+
"eval_overall_precision": 0.711405652907357,
|
93 |
+
"eval_overall_recall": 0.7289885135325826,
|
94 |
+
"eval_runtime": 364.1549,
|
95 |
+
"eval_samples_per_second": 180.418,
|
96 |
+
"eval_steps_per_second": 1.411,
|
97 |
+
"step": 4000
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.22,
|
101 |
+
"grad_norm": 1.984628677368164,
|
102 |
+
"learning_rate": 1.9367552935819272e-05,
|
103 |
+
"loss": 0.3889,
|
104 |
+
"step": 5000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.22,
|
108 |
+
"eval_LOC_f1": 0.747598650693943,
|
109 |
+
"eval_ORG_f1": 0.6493777882131956,
|
110 |
+
"eval_PER_f1": 0.7714610460826736,
|
111 |
+
"eval_loss": 0.3741539716720581,
|
112 |
+
"eval_overall_accuracy": 0.8788552814154443,
|
113 |
+
"eval_overall_f1": 0.7267549997033853,
|
114 |
+
"eval_overall_precision": 0.7189698622570512,
|
115 |
+
"eval_overall_recall": 0.7347105805322722,
|
116 |
+
"eval_runtime": 381.1257,
|
117 |
+
"eval_samples_per_second": 172.384,
|
118 |
+
"eval_steps_per_second": 1.349,
|
119 |
+
"step": 5000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.27,
|
123 |
+
"grad_norm": 9.616731643676758,
|
124 |
+
"learning_rate": 1.924106352298313e-05,
|
125 |
+
"loss": 0.3741,
|
126 |
+
"step": 6000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.27,
|
130 |
+
"eval_LOC_f1": 0.7834622535184133,
|
131 |
+
"eval_ORG_f1": 0.6557229099335325,
|
132 |
+
"eval_PER_f1": 0.7861336370240923,
|
133 |
+
"eval_loss": 0.34435510635375977,
|
134 |
+
"eval_overall_accuracy": 0.8897586038506661,
|
135 |
+
"eval_overall_f1": 0.7479976639412649,
|
136 |
+
"eval_overall_precision": 0.7372337801167668,
|
137 |
+
"eval_overall_recall": 0.7590805181610363,
|
138 |
+
"eval_runtime": 322.2713,
|
139 |
+
"eval_samples_per_second": 203.866,
|
140 |
+
"eval_steps_per_second": 1.595,
|
141 |
+
"step": 6000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.31,
|
145 |
+
"grad_norm": 23.724206924438477,
|
146 |
+
"learning_rate": 1.9114574110146982e-05,
|
147 |
+
"loss": 0.3565,
|
148 |
+
"step": 7000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 0.31,
|
152 |
+
"eval_LOC_f1": 0.7660811273670305,
|
153 |
+
"eval_ORG_f1": 0.6701080291970803,
|
154 |
+
"eval_PER_f1": 0.8082118790158281,
|
155 |
+
"eval_loss": 0.3384684920310974,
|
156 |
+
"eval_overall_accuracy": 0.893588575444113,
|
157 |
+
"eval_overall_f1": 0.7513199894189224,
|
158 |
+
"eval_overall_precision": 0.7511583787634086,
|
159 |
+
"eval_overall_recall": 0.751481669630006,
|
160 |
+
"eval_runtime": 380.8076,
|
161 |
+
"eval_samples_per_second": 172.528,
|
162 |
+
"eval_steps_per_second": 1.35,
|
163 |
+
"step": 7000
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.35,
|
167 |
+
"grad_norm": 12.36683177947998,
|
168 |
+
"learning_rate": 1.8988084697310836e-05,
|
169 |
+
"loss": 0.3438,
|
170 |
+
"step": 8000
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.35,
|
174 |
+
"eval_LOC_f1": 0.7931912766836788,
|
175 |
+
"eval_ORG_f1": 0.6588008889092534,
|
176 |
+
"eval_PER_f1": 0.801709206691627,
|
177 |
+
"eval_loss": 0.33696234226226807,
|
178 |
+
"eval_overall_accuracy": 0.8917491469101174,
|
179 |
+
"eval_overall_f1": 0.7552752293577981,
|
180 |
+
"eval_overall_precision": 0.7441655025063686,
|
181 |
+
"eval_overall_recall": 0.7667217001100669,
|
182 |
+
"eval_runtime": 319.19,
|
183 |
+
"eval_samples_per_second": 205.834,
|
184 |
+
"eval_steps_per_second": 1.61,
|
185 |
+
"step": 8000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.4,
|
189 |
+
"grad_norm": 11.394143104553223,
|
190 |
+
"learning_rate": 1.8861595284474693e-05,
|
191 |
+
"loss": 0.3371,
|
192 |
+
"step": 9000
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.4,
|
196 |
+
"eval_LOC_f1": 0.7949055775142732,
|
197 |
+
"eval_ORG_f1": 0.69052384904555,
|
198 |
+
"eval_PER_f1": 0.8017390414812541,
|
199 |
+
"eval_loss": 0.3417092263698578,
|
200 |
+
"eval_overall_accuracy": 0.8959111238156492,
|
201 |
+
"eval_overall_f1": 0.7671861870625006,
|
202 |
+
"eval_overall_precision": 0.7645921077527909,
|
203 |
+
"eval_overall_recall": 0.7697979284847458,
|
204 |
+
"eval_runtime": 381.3721,
|
205 |
+
"eval_samples_per_second": 172.273,
|
206 |
+
"eval_steps_per_second": 1.348,
|
207 |
+
"step": 9000
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.44,
|
211 |
+
"grad_norm": 3.7753918170928955,
|
212 |
+
"learning_rate": 1.8735105871638546e-05,
|
213 |
+
"loss": 0.3352,
|
214 |
+
"step": 10000
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.44,
|
218 |
+
"eval_LOC_f1": 0.797682178676422,
|
219 |
+
"eval_ORG_f1": 0.6847098624696625,
|
220 |
+
"eval_PER_f1": 0.8165334907549915,
|
221 |
+
"eval_loss": 0.30863526463508606,
|
222 |
+
"eval_overall_accuracy": 0.8984957032855126,
|
223 |
+
"eval_overall_f1": 0.7713626684335284,
|
224 |
+
"eval_overall_precision": 0.7747418167842222,
|
225 |
+
"eval_overall_recall": 0.7680128693590721,
|
226 |
+
"eval_runtime": 353.766,
|
227 |
+
"eval_samples_per_second": 185.716,
|
228 |
+
"eval_steps_per_second": 1.453,
|
229 |
+
"step": 10000
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.49,
|
233 |
+
"grad_norm": 4.4588704109191895,
|
234 |
+
"learning_rate": 1.86086164588024e-05,
|
235 |
+
"loss": 0.3294,
|
236 |
+
"step": 11000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.49,
|
240 |
+
"eval_LOC_f1": 0.8038860433458362,
|
241 |
+
"eval_ORG_f1": 0.6876538381909779,
|
242 |
+
"eval_PER_f1": 0.8135372012007188,
|
243 |
+
"eval_loss": 0.3306277096271515,
|
244 |
+
"eval_overall_accuracy": 0.8961009474806305,
|
245 |
+
"eval_overall_f1": 0.7722079415779226,
|
246 |
+
"eval_overall_precision": 0.7585587302451574,
|
247 |
+
"eval_overall_recall": 0.7863573504924788,
|
248 |
+
"eval_runtime": 386.1174,
|
249 |
+
"eval_samples_per_second": 170.155,
|
250 |
+
"eval_steps_per_second": 1.331,
|
251 |
+
"step": 11000
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.53,
|
255 |
+
"grad_norm": 0.8787571787834167,
|
256 |
+
"learning_rate": 1.8482127045966253e-05,
|
257 |
+
"loss": 0.3164,
|
258 |
+
"step": 12000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.53,
|
262 |
+
"eval_LOC_f1": 0.7928661730178796,
|
263 |
+
"eval_ORG_f1": 0.6923009590976729,
|
264 |
+
"eval_PER_f1": 0.8189351776068096,
|
265 |
+
"eval_loss": 0.32749465107917786,
|
266 |
+
"eval_overall_accuracy": 0.8991314264615677,
|
267 |
+
"eval_overall_f1": 0.7738191399005043,
|
268 |
+
"eval_overall_precision": 0.7606578382394035,
|
269 |
+
"eval_overall_recall": 0.7874439082211497,
|
270 |
+
"eval_runtime": 369.9388,
|
271 |
+
"eval_samples_per_second": 177.597,
|
272 |
+
"eval_steps_per_second": 1.389,
|
273 |
+
"step": 12000
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.58,
|
277 |
+
"grad_norm": 7.5162811279296875,
|
278 |
+
"learning_rate": 1.8355637633130106e-05,
|
279 |
+
"loss": 0.3248,
|
280 |
+
"step": 13000
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 0.58,
|
284 |
+
"eval_LOC_f1": 0.8073569920769398,
|
285 |
+
"eval_ORG_f1": 0.6888664253138371,
|
286 |
+
"eval_PER_f1": 0.813194105996661,
|
287 |
+
"eval_loss": 0.31697988510131836,
|
288 |
+
"eval_overall_accuracy": 0.9009842543130915,
|
289 |
+
"eval_overall_f1": 0.7742117470068326,
|
290 |
+
"eval_overall_precision": 0.7643891570738953,
|
291 |
+
"eval_overall_recall": 0.7842900685801372,
|
292 |
+
"eval_runtime": 387.7862,
|
293 |
+
"eval_samples_per_second": 169.423,
|
294 |
+
"eval_steps_per_second": 1.325,
|
295 |
+
"step": 13000
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.62,
|
299 |
+
"grad_norm": 15.765552520751953,
|
300 |
+
"learning_rate": 1.8229148220293963e-05,
|
301 |
+
"loss": 0.3031,
|
302 |
+
"step": 14000
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.62,
|
306 |
+
"eval_LOC_f1": 0.8060124842017926,
|
307 |
+
"eval_ORG_f1": 0.7039925586720092,
|
308 |
+
"eval_PER_f1": 0.8251789914844223,
|
309 |
+
"eval_loss": 0.3116307258605957,
|
310 |
+
"eval_overall_accuracy": 0.9031675986636414,
|
311 |
+
"eval_overall_f1": 0.7825302431386867,
|
312 |
+
"eval_overall_precision": 0.7787194499951092,
|
313 |
+
"eval_overall_recall": 0.7863785172014789,
|
314 |
+
"eval_runtime": 393.4395,
|
315 |
+
"eval_samples_per_second": 166.989,
|
316 |
+
"eval_steps_per_second": 1.306,
|
317 |
+
"step": 14000
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.66,
|
321 |
+
"grad_norm": 7.4173808097839355,
|
322 |
+
"learning_rate": 1.8102658807457817e-05,
|
323 |
+
"loss": 0.3215,
|
324 |
+
"step": 15000
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.66,
|
328 |
+
"eval_LOC_f1": 0.8202011293152209,
|
329 |
+
"eval_ORG_f1": 0.7058145261059131,
|
330 |
+
"eval_PER_f1": 0.831773061514806,
|
331 |
+
"eval_loss": 0.2920757532119751,
|
332 |
+
"eval_overall_accuracy": 0.9057320791572127,
|
333 |
+
"eval_overall_f1": 0.7904764259051951,
|
334 |
+
"eval_overall_precision": 0.791295187324571,
|
335 |
+
"eval_overall_recall": 0.7896593570964919,
|
336 |
+
"eval_runtime": 358.5756,
|
337 |
+
"eval_samples_per_second": 183.225,
|
338 |
+
"eval_steps_per_second": 1.433,
|
339 |
+
"step": 15000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.71,
|
343 |
+
"grad_norm": 2.693660259246826,
|
344 |
+
"learning_rate": 1.7976169394621674e-05,
|
345 |
+
"loss": 0.3004,
|
346 |
+
"step": 16000
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.71,
|
350 |
+
"eval_LOC_f1": 0.820160121404321,
|
351 |
+
"eval_ORG_f1": 0.7145462460731136,
|
352 |
+
"eval_PER_f1": 0.8352356233778416,
|
353 |
+
"eval_loss": 0.2958711087703705,
|
354 |
+
"eval_overall_accuracy": 0.9059717780596597,
|
355 |
+
"eval_overall_f1": 0.793620583311305,
|
356 |
+
"eval_overall_precision": 0.7928911988619157,
|
357 |
+
"eval_overall_recall": 0.7943513109248441,
|
358 |
+
"eval_runtime": 381.2154,
|
359 |
+
"eval_samples_per_second": 172.343,
|
360 |
+
"eval_steps_per_second": 1.348,
|
361 |
+
"step": 16000
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.75,
|
365 |
+
"grad_norm": 3.5598666667938232,
|
366 |
+
"learning_rate": 1.7849679981785527e-05,
|
367 |
+
"loss": 0.2963,
|
368 |
+
"step": 17000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.75,
|
372 |
+
"eval_LOC_f1": 0.8227697858804539,
|
373 |
+
"eval_ORG_f1": 0.7160294907475222,
|
374 |
+
"eval_PER_f1": 0.8368475991649269,
|
375 |
+
"eval_loss": 0.2975331246852875,
|
376 |
+
"eval_overall_accuracy": 0.9079280784187614,
|
377 |
+
"eval_overall_f1": 0.7966393323888228,
|
378 |
+
"eval_overall_precision": 0.7978373328992902,
|
379 |
+
"eval_overall_recall": 0.7954449242231818,
|
380 |
+
"eval_runtime": 335.9278,
|
381 |
+
"eval_samples_per_second": 195.578,
|
382 |
+
"eval_steps_per_second": 1.53,
|
383 |
+
"step": 17000
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.8,
|
387 |
+
"grad_norm": 4.444880485534668,
|
388 |
+
"learning_rate": 1.772319056894938e-05,
|
389 |
+
"loss": 0.3037,
|
390 |
+
"step": 18000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.8,
|
394 |
+
"eval_LOC_f1": 0.8179091806697487,
|
395 |
+
"eval_ORG_f1": 0.7172501033887172,
|
396 |
+
"eval_PER_f1": 0.8379966394973857,
|
397 |
+
"eval_loss": 0.29457131028175354,
|
398 |
+
"eval_overall_accuracy": 0.9080412282112209,
|
399 |
+
"eval_overall_f1": 0.7957346666573557,
|
400 |
+
"eval_overall_precision": 0.7876546623349693,
|
401 |
+
"eval_overall_recall": 0.8039821635198826,
|
402 |
+
"eval_runtime": 382.8523,
|
403 |
+
"eval_samples_per_second": 171.607,
|
404 |
+
"eval_steps_per_second": 1.343,
|
405 |
+
"step": 18000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.84,
|
409 |
+
"grad_norm": 3.651078701019287,
|
410 |
+
"learning_rate": 1.7596701156113234e-05,
|
411 |
+
"loss": 0.2893,
|
412 |
+
"step": 19000
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.84,
|
416 |
+
"eval_LOC_f1": 0.8096252541880508,
|
417 |
+
"eval_ORG_f1": 0.722521212121212,
|
418 |
+
"eval_PER_f1": 0.8371796558038832,
|
419 |
+
"eval_loss": 0.30927255749702454,
|
420 |
+
"eval_overall_accuracy": 0.90601644245142,
|
421 |
+
"eval_overall_f1": 0.7939453776936077,
|
422 |
+
"eval_overall_precision": 0.7907640837923529,
|
423 |
+
"eval_overall_recall": 0.797152372082522,
|
424 |
+
"eval_runtime": 321.3057,
|
425 |
+
"eval_samples_per_second": 204.478,
|
426 |
+
"eval_steps_per_second": 1.6,
|
427 |
+
"step": 19000
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.89,
|
431 |
+
"grad_norm": 7.439753532409668,
|
432 |
+
"learning_rate": 1.747021174327709e-05,
|
433 |
+
"loss": 0.2948,
|
434 |
+
"step": 20000
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.89,
|
438 |
+
"eval_LOC_f1": 0.82627274528115,
|
439 |
+
"eval_ORG_f1": 0.714928600160901,
|
440 |
+
"eval_PER_f1": 0.8321251892983341,
|
441 |
+
"eval_loss": 0.2865753769874573,
|
442 |
+
"eval_overall_accuracy": 0.9090692536282374,
|
443 |
+
"eval_overall_f1": 0.7971877602217748,
|
444 |
+
"eval_overall_precision": 0.7939824049383752,
|
445 |
+
"eval_overall_recall": 0.8004191008382017,
|
446 |
+
"eval_runtime": 380.5435,
|
447 |
+
"eval_samples_per_second": 172.648,
|
448 |
+
"eval_steps_per_second": 1.351,
|
449 |
+
"step": 20000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.93,
|
453 |
+
"grad_norm": 23.34659767150879,
|
454 |
+
"learning_rate": 1.7343722330440944e-05,
|
455 |
+
"loss": 0.2868,
|
456 |
+
"step": 21000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.93,
|
460 |
+
"eval_LOC_f1": 0.8167083361060147,
|
461 |
+
"eval_ORG_f1": 0.727712241345968,
|
462 |
+
"eval_PER_f1": 0.840251831974404,
|
463 |
+
"eval_loss": 0.29932352900505066,
|
464 |
+
"eval_overall_accuracy": 0.9084059874105967,
|
465 |
+
"eval_overall_f1": 0.798865244242835,
|
466 |
+
"eval_overall_precision": 0.7950827119165264,
|
467 |
+
"eval_overall_recall": 0.8026839387012107,
|
468 |
+
"eval_runtime": 351.3256,
|
469 |
+
"eval_samples_per_second": 187.006,
|
470 |
+
"eval_steps_per_second": 1.463,
|
471 |
+
"step": 21000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.97,
|
475 |
+
"grad_norm": 10.305853843688965,
|
476 |
+
"learning_rate": 1.7217232917604798e-05,
|
477 |
+
"loss": 0.2977,
|
478 |
+
"step": 22000
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.97,
|
482 |
+
"eval_LOC_f1": 0.8263365865270175,
|
483 |
+
"eval_ORG_f1": 0.7257252830008247,
|
484 |
+
"eval_PER_f1": 0.8407604251839738,
|
485 |
+
"eval_loss": 0.2778206169605255,
|
486 |
+
"eval_overall_accuracy": 0.9105640219391492,
|
487 |
+
"eval_overall_f1": 0.8018860680855222,
|
488 |
+
"eval_overall_precision": 0.7934180537329926,
|
489 |
+
"eval_overall_recall": 0.8105367877402422,
|
490 |
+
"eval_runtime": 394.5686,
|
491 |
+
"eval_samples_per_second": 166.511,
|
492 |
+
"eval_steps_per_second": 1.303,
|
493 |
+
"step": 22000
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.02,
|
497 |
+
"grad_norm": 11.687705993652344,
|
498 |
+
"learning_rate": 1.709074350476865e-05,
|
499 |
+
"loss": 0.2585,
|
500 |
+
"step": 23000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.02,
|
504 |
+
"eval_LOC_f1": 0.8267493620904808,
|
505 |
+
"eval_ORG_f1": 0.7272141627126203,
|
506 |
+
"eval_PER_f1": 0.8396679597210218,
|
507 |
+
"eval_loss": 0.2966572642326355,
|
508 |
+
"eval_overall_accuracy": 0.9093171410025072,
|
509 |
+
"eval_overall_f1": 0.8032836474772869,
|
510 |
+
"eval_overall_precision": 0.7918766066838047,
|
511 |
+
"eval_overall_recall": 0.8150241300482601,
|
512 |
+
"eval_runtime": 380.5595,
|
513 |
+
"eval_samples_per_second": 172.641,
|
514 |
+
"eval_steps_per_second": 1.351,
|
515 |
+
"step": 23000
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.06,
|
519 |
+
"grad_norm": 3.907621383666992,
|
520 |
+
"learning_rate": 1.6964254091932504e-05,
|
521 |
+
"loss": 0.2362,
|
522 |
+
"step": 24000
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.06,
|
526 |
+
"eval_LOC_f1": 0.8330133267755635,
|
527 |
+
"eval_ORG_f1": 0.7180792210666076,
|
528 |
+
"eval_PER_f1": 0.830729295671386,
|
529 |
+
"eval_loss": 0.3153696358203888,
|
530 |
+
"eval_overall_accuracy": 0.9078134398132433,
|
531 |
+
"eval_overall_f1": 0.7997513906153431,
|
532 |
+
"eval_overall_precision": 0.7873453202980789,
|
533 |
+
"eval_overall_recall": 0.8125546806649169,
|
534 |
+
"eval_runtime": 373.8915,
|
535 |
+
"eval_samples_per_second": 175.719,
|
536 |
+
"eval_steps_per_second": 1.375,
|
537 |
+
"step": 24000
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 1.11,
|
541 |
+
"grad_norm": 8.853696823120117,
|
542 |
+
"learning_rate": 1.683776467909636e-05,
|
543 |
+
"loss": 0.2223,
|
544 |
+
"step": 25000
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 1.11,
|
548 |
+
"eval_LOC_f1": 0.827347355217957,
|
549 |
+
"eval_ORG_f1": 0.7285489531647101,
|
550 |
+
"eval_PER_f1": 0.8452979544031824,
|
551 |
+
"eval_loss": 0.29239869117736816,
|
552 |
+
"eval_overall_accuracy": 0.9101635312263651,
|
553 |
+
"eval_overall_f1": 0.8052130812290949,
|
554 |
+
"eval_overall_precision": 0.7913853365400993,
|
555 |
+
"eval_overall_recall": 0.8195326390652782,
|
556 |
+
"eval_runtime": 381.4229,
|
557 |
+
"eval_samples_per_second": 172.25,
|
558 |
+
"eval_steps_per_second": 1.348,
|
559 |
+
"step": 25000
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 1.15,
|
563 |
+
"grad_norm": 0.670585572719574,
|
564 |
+
"learning_rate": 1.6711275266260215e-05,
|
565 |
+
"loss": 0.2339,
|
566 |
+
"step": 26000
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 1.15,
|
570 |
+
"eval_LOC_f1": 0.835739538961472,
|
571 |
+
"eval_ORG_f1": 0.7377061141106085,
|
572 |
+
"eval_PER_f1": 0.8477990752245738,
|
573 |
+
"eval_loss": 0.2966776490211487,
|
574 |
+
"eval_overall_accuracy": 0.9133503355784635,
|
575 |
+
"eval_overall_f1": 0.8116372709464219,
|
576 |
+
"eval_overall_precision": 0.8062829412297131,
|
577 |
+
"eval_overall_recall": 0.8170631896819349,
|
578 |
+
"eval_runtime": 348.6318,
|
579 |
+
"eval_samples_per_second": 188.451,
|
580 |
+
"eval_steps_per_second": 1.474,
|
581 |
+
"step": 26000
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.2,
|
585 |
+
"grad_norm": 5.636080741882324,
|
586 |
+
"learning_rate": 1.658478585342407e-05,
|
587 |
+
"loss": 0.2318,
|
588 |
+
"step": 27000
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.2,
|
592 |
+
"eval_LOC_f1": 0.8379575082665046,
|
593 |
+
"eval_ORG_f1": 0.741773869167331,
|
594 |
+
"eval_PER_f1": 0.8468086407796683,
|
595 |
+
"eval_loss": 0.297035276889801,
|
596 |
+
"eval_overall_accuracy": 0.9143232749123089,
|
597 |
+
"eval_overall_f1": 0.8128532056457225,
|
598 |
+
"eval_overall_precision": 0.8019583070120025,
|
599 |
+
"eval_overall_recall": 0.8240482036519629,
|
600 |
+
"eval_runtime": 381.0554,
|
601 |
+
"eval_samples_per_second": 172.416,
|
602 |
+
"eval_steps_per_second": 1.349,
|
603 |
+
"step": 27000
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 1.24,
|
607 |
+
"grad_norm": 11.75963306427002,
|
608 |
+
"learning_rate": 1.6458296440587925e-05,
|
609 |
+
"loss": 0.2261,
|
610 |
+
"step": 28000
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 1.24,
|
614 |
+
"eval_LOC_f1": 0.8355374639087424,
|
615 |
+
"eval_ORG_f1": 0.7354031739753795,
|
616 |
+
"eval_PER_f1": 0.8533292168364721,
|
617 |
+
"eval_loss": 0.28783518075942993,
|
618 |
+
"eval_overall_accuracy": 0.914816072034731,
|
619 |
+
"eval_overall_f1": 0.813075185134273,
|
620 |
+
"eval_overall_precision": 0.8123622174798036,
|
621 |
+
"eval_overall_recall": 0.8137894053565885,
|
622 |
+
"eval_runtime": 319.3665,
|
623 |
+
"eval_samples_per_second": 205.72,
|
624 |
+
"eval_steps_per_second": 1.609,
|
625 |
+
"step": 28000
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.28,
|
629 |
+
"grad_norm": 0.3197329342365265,
|
630 |
+
"learning_rate": 1.633180702775178e-05,
|
631 |
+
"loss": 0.2209,
|
632 |
+
"step": 29000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.28,
|
636 |
+
"eval_LOC_f1": 0.8348409410512713,
|
637 |
+
"eval_ORG_f1": 0.7400960885063363,
|
638 |
+
"eval_PER_f1": 0.852092035253628,
|
639 |
+
"eval_loss": 0.28716719150543213,
|
640 |
+
"eval_overall_accuracy": 0.9143351854167783,
|
641 |
+
"eval_overall_f1": 0.8130391159543484,
|
642 |
+
"eval_overall_precision": 0.8030238383615944,
|
643 |
+
"eval_overall_recall": 0.8233073688369599,
|
644 |
+
"eval_runtime": 381.0776,
|
645 |
+
"eval_samples_per_second": 172.406,
|
646 |
+
"eval_steps_per_second": 1.349,
|
647 |
+
"step": 29000
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.33,
|
651 |
+
"grad_norm": 2.500840663909912,
|
652 |
+
"learning_rate": 1.6205317614915632e-05,
|
653 |
+
"loss": 0.2326,
|
654 |
+
"step": 30000
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.33,
|
658 |
+
"eval_LOC_f1": 0.835323589241317,
|
659 |
+
"eval_ORG_f1": 0.7427079308204821,
|
660 |
+
"eval_PER_f1": 0.8500763485649586,
|
661 |
+
"eval_loss": 0.28030699491500854,
|
662 |
+
"eval_overall_accuracy": 0.914723765625093,
|
663 |
+
"eval_overall_f1": 0.8127800899066888,
|
664 |
+
"eval_overall_precision": 0.8005707559436636,
|
665 |
+
"eval_overall_recall": 0.8253675951796348,
|
666 |
+
"eval_runtime": 325.8915,
|
667 |
+
"eval_samples_per_second": 201.601,
|
668 |
+
"eval_steps_per_second": 1.577,
|
669 |
+
"step": 30000
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.37,
|
673 |
+
"grad_norm": 0.524834156036377,
|
674 |
+
"learning_rate": 1.607882820207949e-05,
|
675 |
+
"loss": 0.2198,
|
676 |
+
"step": 31000
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.37,
|
680 |
+
"eval_LOC_f1": 0.8371461143834315,
|
681 |
+
"eval_ORG_f1": 0.7432512590283674,
|
682 |
+
"eval_PER_f1": 0.8540951115999625,
|
683 |
+
"eval_loss": 0.28697240352630615,
|
684 |
+
"eval_overall_accuracy": 0.9156036541427712,
|
685 |
+
"eval_overall_f1": 0.8147560933208163,
|
686 |
+
"eval_overall_precision": 0.8031779980531677,
|
687 |
+
"eval_overall_recall": 0.8266728755679733,
|
688 |
+
"eval_runtime": 381.127,
|
689 |
+
"eval_samples_per_second": 172.383,
|
690 |
+
"eval_steps_per_second": 1.349,
|
691 |
+
"step": 31000
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 1.42,
|
695 |
+
"grad_norm": 18.899179458618164,
|
696 |
+
"learning_rate": 1.5952338789243342e-05,
|
697 |
+
"loss": 0.221,
|
698 |
+
"step": 32000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.42,
|
702 |
+
"eval_LOC_f1": 0.8441860465116279,
|
703 |
+
"eval_ORG_f1": 0.7411915135442319,
|
704 |
+
"eval_PER_f1": 0.8485990299434801,
|
705 |
+
"eval_loss": 0.28265270590782166,
|
706 |
+
"eval_overall_accuracy": 0.9150192950172404,
|
707 |
+
"eval_overall_f1": 0.8153681889236267,
|
708 |
+
"eval_overall_precision": 0.8065649592710203,
|
709 |
+
"eval_overall_recall": 0.8243657042869641,
|
710 |
+
"eval_runtime": 346.0172,
|
711 |
+
"eval_samples_per_second": 189.875,
|
712 |
+
"eval_steps_per_second": 1.485,
|
713 |
+
"step": 32000
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 1.46,
|
717 |
+
"grad_norm": 9.521773338317871,
|
718 |
+
"learning_rate": 1.5825849376407196e-05,
|
719 |
+
"loss": 0.2319,
|
720 |
+
"step": 33000
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.46,
|
724 |
+
"eval_LOC_f1": 0.8391690707524869,
|
725 |
+
"eval_ORG_f1": 0.7463789877336044,
|
726 |
+
"eval_PER_f1": 0.8572165373824064,
|
727 |
+
"eval_loss": 0.27687233686447144,
|
728 |
+
"eval_overall_accuracy": 0.9169562408065793,
|
729 |
+
"eval_overall_f1": 0.8172862291713824,
|
730 |
+
"eval_overall_precision": 0.8068870201398582,
|
731 |
+
"eval_overall_recall": 0.8279569892473119,
|
732 |
+
"eval_runtime": 385.1918,
|
733 |
+
"eval_samples_per_second": 170.564,
|
734 |
+
"eval_steps_per_second": 1.334,
|
735 |
+
"step": 33000
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 1.51,
|
739 |
+
"grad_norm": 4.6437883377075195,
|
740 |
+
"learning_rate": 1.569935996357105e-05,
|
741 |
+
"loss": 0.2284,
|
742 |
+
"step": 34000
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 1.51,
|
746 |
+
"eval_LOC_f1": 0.8413632604389053,
|
747 |
+
"eval_ORG_f1": 0.7468433377658009,
|
748 |
+
"eval_PER_f1": 0.8579245204510465,
|
749 |
+
"eval_loss": 0.2682867646217346,
|
750 |
+
"eval_overall_accuracy": 0.918707829370113,
|
751 |
+
"eval_overall_f1": 0.8187739611430496,
|
752 |
+
"eval_overall_precision": 0.8141108359780979,
|
753 |
+
"eval_overall_recall": 0.823490813648294,
|
754 |
+
"eval_runtime": 389.0432,
|
755 |
+
"eval_samples_per_second": 168.876,
|
756 |
+
"eval_steps_per_second": 1.321,
|
757 |
+
"step": 34000
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.55,
|
761 |
+
"grad_norm": 8.055586814880371,
|
762 |
+
"learning_rate": 1.5572870550734906e-05,
|
763 |
+
"loss": 0.222,
|
764 |
+
"step": 35000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.55,
|
768 |
+
"eval_LOC_f1": 0.8416752574836452,
|
769 |
+
"eval_ORG_f1": 0.7401676189600267,
|
770 |
+
"eval_PER_f1": 0.8485277320098252,
|
771 |
+
"eval_loss": 0.2882651388645172,
|
772 |
+
"eval_overall_accuracy": 0.9156967049589385,
|
773 |
+
"eval_overall_f1": 0.8135379092525155,
|
774 |
+
"eval_overall_precision": 0.7963817723503612,
|
775 |
+
"eval_overall_recall": 0.8314494962323258,
|
776 |
+
"eval_runtime": 364.9994,
|
777 |
+
"eval_samples_per_second": 180.0,
|
778 |
+
"eval_steps_per_second": 1.408,
|
779 |
+
"step": 35000
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.59,
|
783 |
+
"grad_norm": 2.8561666011810303,
|
784 |
+
"learning_rate": 1.544638113789876e-05,
|
785 |
+
"loss": 0.2272,
|
786 |
+
"step": 36000
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.59,
|
790 |
+
"eval_LOC_f1": 0.843695144769584,
|
791 |
+
"eval_ORG_f1": 0.7492301387506587,
|
792 |
+
"eval_PER_f1": 0.8506844052649669,
|
793 |
+
"eval_loss": 0.2805135250091553,
|
794 |
+
"eval_overall_accuracy": 0.9165698938178527,
|
795 |
+
"eval_overall_f1": 0.8180830193920244,
|
796 |
+
"eval_overall_precision": 0.805384452359629,
|
797 |
+
"eval_overall_recall": 0.8311884401546581,
|
798 |
+
"eval_runtime": 381.2063,
|
799 |
+
"eval_samples_per_second": 172.348,
|
800 |
+
"eval_steps_per_second": 1.348,
|
801 |
+
"step": 36000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 1.64,
|
805 |
+
"grad_norm": 3.3037211894989014,
|
806 |
+
"learning_rate": 1.5319891725062616e-05,
|
807 |
+
"loss": 0.2086,
|
808 |
+
"step": 37000
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 1.64,
|
812 |
+
"eval_LOC_f1": 0.8383752402995496,
|
813 |
+
"eval_ORG_f1": 0.7563655598566996,
|
814 |
+
"eval_PER_f1": 0.8609615664428694,
|
815 |
+
"eval_loss": 0.2780158519744873,
|
816 |
+
"eval_overall_accuracy": 0.9186519988804126,
|
817 |
+
"eval_overall_f1": 0.822004740154319,
|
818 |
+
"eval_overall_precision": 0.8205800667955704,
|
819 |
+
"eval_overall_recall": 0.8234343690909603,
|
820 |
+
"eval_runtime": 332.7363,
|
821 |
+
"eval_samples_per_second": 197.454,
|
822 |
+
"eval_steps_per_second": 1.545,
|
823 |
+
"step": 37000
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.68,
|
827 |
+
"grad_norm": 3.0146262645721436,
|
828 |
+
"learning_rate": 1.5193402312226468e-05,
|
829 |
+
"loss": 0.2283,
|
830 |
+
"step": 38000
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.68,
|
834 |
+
"eval_LOC_f1": 0.8468252837536212,
|
835 |
+
"eval_ORG_f1": 0.7509236309217602,
|
836 |
+
"eval_PER_f1": 0.8619782260977246,
|
837 |
+
"eval_loss": 0.27215901017189026,
|
838 |
+
"eval_overall_accuracy": 0.9187383500378159,
|
839 |
+
"eval_overall_f1": 0.8234198288625827,
|
840 |
+
"eval_overall_precision": 0.8114117405301733,
|
841 |
+
"eval_overall_recall": 0.8357886715773432,
|
842 |
+
"eval_runtime": 305.4831,
|
843 |
+
"eval_samples_per_second": 215.069,
|
844 |
+
"eval_steps_per_second": 1.683,
|
845 |
+
"step": 38000
|
846 |
+
}
|
847 |
+
],
|
848 |
+
"logging_steps": 1000,
|
849 |
+
"max_steps": 158116,
|
850 |
+
"num_input_tokens_seen": 0,
|
851 |
+
"num_train_epochs": 7,
|
852 |
+
"save_steps": 500,
|
853 |
+
"total_flos": 5313197707682040.0,
|
854 |
+
"train_batch_size": 8,
|
855 |
+
"trial_name": null,
|
856 |
+
"trial_params": null
|
857 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68c3a5740e100dbfa14dbda8a5e3586aad084b4dc14da196be76e7c102216e95
|
3 |
+
size 4856
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|