chizhik commited on
Commit
0420977
·
1 Parent(s): ea57e6f

add model weights

Browse files
config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/beegfs/mc000051/CERPLES/Models/bert-base-spanish-wwm-cased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "LABEL_0",
14
+ "1": "LABEL_1",
15
+ "2": "LABEL_2",
16
+ "3": "LABEL_3",
17
+ "4": "LABEL_4",
18
+ "5": "LABEL_5",
19
+ "6": "LABEL_6",
20
+ "7": "LABEL_7",
21
+ "8": "LABEL_8",
22
+ "9": "LABEL_9",
23
+ "10": "LABEL_10",
24
+ "11": "LABEL_11",
25
+ "12": "LABEL_12",
26
+ "13": "LABEL_13",
27
+ "14": "LABEL_14",
28
+ "15": "LABEL_15"
29
+ },
30
+ "initializer_range": 0.02,
31
+ "intermediate_size": 3072,
32
+ "label2id": {
33
+ "LABEL_0": 0,
34
+ "LABEL_1": 1,
35
+ "LABEL_10": 10,
36
+ "LABEL_11": 11,
37
+ "LABEL_12": 12,
38
+ "LABEL_13": 13,
39
+ "LABEL_14": 14,
40
+ "LABEL_15": 15,
41
+ "LABEL_2": 2,
42
+ "LABEL_3": 3,
43
+ "LABEL_4": 4,
44
+ "LABEL_5": 5,
45
+ "LABEL_6": 6,
46
+ "LABEL_7": 7,
47
+ "LABEL_8": 8,
48
+ "LABEL_9": 9
49
+ },
50
+ "layer_norm_eps": 1e-12,
51
+ "max_position_embeddings": 512,
52
+ "model_type": "bert",
53
+ "num_attention_heads": 12,
54
+ "num_hidden_layers": 12,
55
+ "output_past": true,
56
+ "pad_token_id": 1,
57
+ "position_embedding_type": "absolute",
58
+ "problem_type": "multi_label_classification",
59
+ "torch_dtype": "float32",
60
+ "transformers_version": "4.19.2",
61
+ "type_vocab_size": 2,
62
+ "use_cache": true,
63
+ "vocab_size": 31002
64
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d31a759ec106786b7d14b9db5903a8d1fc4094c5aba3dfa09c784b33bcb11b8
3
+ size 879021981
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd2df4b7c392b8d623f36a4e2ef75af9a85e57170bab256fcca5ab95d80e9cf7
3
+ size 439523757
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f01fef0c59d4860e25106e718f35edb1ef106ebaa4b62dfd95f8e7e4cf4e146e
3
+ size 14567
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:392a982a9ac8e9d0e956548d877a9d8bcc8f61fbe896d0a05495f841534dd993
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "name_or_path": "/mnt/beegfs/mc000051/CERPLES/Models/bert-base-spanish-wwm-cased", "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": "/mnt/beegfs/mc000051/CERPLES/Models/bert-base-spanish-wwm-cased/special_tokens_map.json", "tokenizer_class": "BertTokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6235998688300035,
3
+ "best_model_checkpoint": "./CARES/checkpoints/bert-bas/checkpoint-3500",
4
+ "epoch": 24.822695035460992,
5
+ "global_step": 3500,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 3.55,
12
+ "learning_rate": 2.8936170212765956e-05,
13
+ "loss": 0.2014,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 3.55,
18
+ "eval_loss": 0.15534088015556335,
19
+ "eval_macro_f1": 0.34191398087233876,
20
+ "eval_macro_precision": 0.4575725498723576,
21
+ "eval_macro_recall": 0.32634682637580636,
22
+ "eval_micro_f1": 0.7120380534211489,
23
+ "eval_micro_precision": 0.8108333333333333,
24
+ "eval_micro_recall": 0.634703196347032,
25
+ "eval_runtime": 2.9867,
26
+ "eval_samples_per_second": 323.432,
27
+ "eval_steps_per_second": 20.424,
28
+ "step": 500
29
+ },
30
+ {
31
+ "epoch": 7.09,
32
+ "learning_rate": 2.7872340425531914e-05,
33
+ "loss": 0.0909,
34
+ "step": 1000
35
+ },
36
+ {
37
+ "epoch": 7.09,
38
+ "eval_loss": 0.14328321814537048,
39
+ "eval_macro_f1": 0.5216600519885811,
40
+ "eval_macro_precision": 0.6582415980876382,
41
+ "eval_macro_recall": 0.45829582028075544,
42
+ "eval_micro_f1": 0.7527932960893854,
43
+ "eval_micro_precision": 0.8099173553719008,
44
+ "eval_micro_recall": 0.7031963470319634,
45
+ "eval_runtime": 2.9852,
46
+ "eval_samples_per_second": 323.592,
47
+ "eval_steps_per_second": 20.434,
48
+ "step": 1000
49
+ },
50
+ {
51
+ "epoch": 10.64,
52
+ "learning_rate": 2.6808510638297873e-05,
53
+ "loss": 0.0428,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 10.64,
58
+ "eval_loss": 0.1534910351037979,
59
+ "eval_macro_f1": 0.5762696837727688,
60
+ "eval_macro_precision": 0.6633765574994241,
61
+ "eval_macro_recall": 0.5217654870639399,
62
+ "eval_micro_f1": 0.7763426240652617,
63
+ "eval_micro_precision": 0.8105039034776437,
64
+ "eval_micro_recall": 0.7449445531637312,
65
+ "eval_runtime": 2.9874,
66
+ "eval_samples_per_second": 323.358,
67
+ "eval_steps_per_second": 20.419,
68
+ "step": 1500
69
+ },
70
+ {
71
+ "epoch": 14.18,
72
+ "learning_rate": 2.574468085106383e-05,
73
+ "loss": 0.0231,
74
+ "step": 2000
75
+ },
76
+ {
77
+ "epoch": 14.18,
78
+ "eval_loss": 0.15115897357463837,
79
+ "eval_macro_f1": 0.5809807709622608,
80
+ "eval_macro_precision": 0.6166814111331129,
81
+ "eval_macro_recall": 0.5608937720056061,
82
+ "eval_micro_f1": 0.7775925308436145,
83
+ "eval_micro_precision": 0.7953615279672579,
84
+ "eval_micro_recall": 0.7606001304631441,
85
+ "eval_runtime": 2.985,
86
+ "eval_samples_per_second": 323.621,
87
+ "eval_steps_per_second": 20.436,
88
+ "step": 2000
89
+ },
90
+ {
91
+ "epoch": 17.73,
92
+ "learning_rate": 2.4680851063829786e-05,
93
+ "loss": 0.0137,
94
+ "step": 2500
95
+ },
96
+ {
97
+ "epoch": 17.73,
98
+ "eval_loss": 0.16502933204174042,
99
+ "eval_macro_f1": 0.5991629446392395,
100
+ "eval_macro_precision": 0.6221331811310129,
101
+ "eval_macro_recall": 0.5815882875339234,
102
+ "eval_micro_f1": 0.7877187190491911,
103
+ "eval_micro_precision": 0.7974598930481284,
104
+ "eval_micro_recall": 0.7782126549249837,
105
+ "eval_runtime": 2.9854,
106
+ "eval_samples_per_second": 323.576,
107
+ "eval_steps_per_second": 20.433,
108
+ "step": 2500
109
+ },
110
+ {
111
+ "epoch": 21.28,
112
+ "learning_rate": 2.3617021276595744e-05,
113
+ "loss": 0.0087,
114
+ "step": 3000
115
+ },
116
+ {
117
+ "epoch": 21.28,
118
+ "eval_loss": 0.1669953465461731,
119
+ "eval_macro_f1": 0.6173151275498924,
120
+ "eval_macro_precision": 0.6814989884732782,
121
+ "eval_macro_recall": 0.5992296363093449,
122
+ "eval_micro_f1": 0.7861842105263159,
123
+ "eval_micro_precision": 0.7929661579296616,
124
+ "eval_micro_recall": 0.7795172863666014,
125
+ "eval_runtime": 2.9877,
126
+ "eval_samples_per_second": 323.321,
127
+ "eval_steps_per_second": 20.417,
128
+ "step": 3000
129
+ },
130
+ {
131
+ "epoch": 24.82,
132
+ "learning_rate": 2.2553191489361703e-05,
133
+ "loss": 0.0063,
134
+ "step": 3500
135
+ },
136
+ {
137
+ "epoch": 24.82,
138
+ "eval_loss": 0.18081951141357422,
139
+ "eval_macro_f1": 0.6235998688300035,
140
+ "eval_macro_precision": 0.6667425956441049,
141
+ "eval_macro_recall": 0.5993735670848622,
142
+ "eval_micro_f1": 0.7835120643431636,
143
+ "eval_micro_precision": 0.8056512749827704,
144
+ "eval_micro_recall": 0.7625570776255708,
145
+ "eval_runtime": 2.9803,
146
+ "eval_samples_per_second": 324.127,
147
+ "eval_steps_per_second": 20.468,
148
+ "step": 3500
149
+ }
150
+ ],
151
+ "max_steps": 14100,
152
+ "num_train_epochs": 100,
153
+ "total_flos": 1.4624642507081568e+16,
154
+ "trial_name": null,
155
+ "trial_params": null
156
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b32d80d5d5dce67c9a2a11756aa0d57c15b20ca460c1ef2d87c1f7b006d31804
3
+ size 3247
vocab.txt ADDED
The diff for this file is too large to render. See raw diff