Token Classification
Transformers
Safetensors
bert
Inference Endpoints
Xmm commited on
Commit
ee18b0a
1 Parent(s): 37a579c

Upload 11 files

Browse files
config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-multilingual-cased",
3
+ "architectures": [
4
+ "BertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "directionality": "bidi",
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
+ },
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "LABEL_0": 0,
25
+ "LABEL_1": 1,
26
+ "LABEL_2": 2,
27
+ "LABEL_3": 3,
28
+ "LABEL_4": 4,
29
+ "LABEL_5": 5,
30
+ "LABEL_6": 6
31
+ },
32
+ "layer_norm_eps": 1e-12,
33
+ "max_position_embeddings": 512,
34
+ "model_type": "bert",
35
+ "num_attention_heads": 12,
36
+ "num_hidden_layers": 12,
37
+ "pad_token_id": 0,
38
+ "pooler_fc_size": 768,
39
+ "pooler_num_attention_heads": 12,
40
+ "pooler_num_fc_layers": 3,
41
+ "pooler_size_per_head": 128,
42
+ "pooler_type": "first_token_transform",
43
+ "position_embedding_type": "absolute",
44
+ "torch_dtype": "float32",
45
+ "transformers_version": "4.38.1",
46
+ "type_vocab_size": 2,
47
+ "use_cache": true,
48
+ "vocab_size": 119547
49
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3464507543bcd5a63144ad9e7c40083a605e6ae28e76daa26b9df5a09404d6c
3
+ size 709096284
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c4762c65f673b48b6e30a37ae48167d77dc5e9c0f1ef957bfd9c54a2b27f232
3
+ size 1418312250
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e173b028a7b49b7598e1d0be461b9d1381eae9728de0257e5a2a3230ba0a5ad5
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e9d47ac0c4a6583ddb94f81f2a71d6ba82f5603d2acd75906e08ceb02509c00
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": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
trainer_state.json ADDED
@@ -0,0 +1,483 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9518328315919957,
5
+ "eval_steps": 1000,
6
+ "global_step": 21500,
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": 16.78230857849121,
14
+ "learning_rate": 1.987315680989377e-05,
15
+ "loss": 0.7008,
16
+ "step": 1000
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "eval_LOC_f1": 0.7083043365359647,
21
+ "eval_ORG_f1": 0.5623498694516972,
22
+ "eval_PER_f1": 0.7100647964924535,
23
+ "eval_loss": 0.525841236114502,
24
+ "eval_overall_accuracy": 0.839431747364137,
25
+ "eval_overall_f1": 0.6684494885258021,
26
+ "eval_overall_precision": 0.6813296398891967,
27
+ "eval_overall_recall": 0.656047285763059,
28
+ "eval_runtime": 178.5538,
29
+ "eval_samples_per_second": 365.156,
30
+ "eval_steps_per_second": 22.822,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.09,
35
+ "grad_norm": 9.70958137512207,
36
+ "learning_rate": 1.974631361978754e-05,
37
+ "loss": 0.4865,
38
+ "step": 2000
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "eval_LOC_f1": 0.7016948849995092,
43
+ "eval_ORG_f1": 0.590386287417712,
44
+ "eval_PER_f1": 0.744081694250214,
45
+ "eval_loss": 0.4681616723537445,
46
+ "eval_overall_accuracy": 0.8518320678647284,
47
+ "eval_overall_f1": 0.6854302821050324,
48
+ "eval_overall_precision": 0.6610573746663495,
49
+ "eval_overall_recall": 0.7116692272675543,
50
+ "eval_runtime": 178.958,
51
+ "eval_samples_per_second": 364.331,
52
+ "eval_steps_per_second": 22.771,
53
+ "step": 2000
54
+ },
55
+ {
56
+ "epoch": 0.13,
57
+ "grad_norm": 15.70914077758789,
58
+ "learning_rate": 1.961947042968131e-05,
59
+ "loss": 0.4382,
60
+ "step": 3000
61
+ },
62
+ {
63
+ "epoch": 0.13,
64
+ "eval_LOC_f1": 0.7578888199720886,
65
+ "eval_ORG_f1": 0.6413910093299406,
66
+ "eval_PER_f1": 0.7750323494978126,
67
+ "eval_loss": 0.4217945635318756,
68
+ "eval_overall_accuracy": 0.8756332018861953,
69
+ "eval_overall_f1": 0.7298225286836603,
70
+ "eval_overall_precision": 0.7249466651695486,
71
+ "eval_overall_recall": 0.7347644247183339,
72
+ "eval_runtime": 177.7042,
73
+ "eval_samples_per_second": 366.902,
74
+ "eval_steps_per_second": 22.931,
75
+ "step": 3000
76
+ },
77
+ {
78
+ "epoch": 0.18,
79
+ "grad_norm": 0.9930562376976013,
80
+ "learning_rate": 1.9492627239575078e-05,
81
+ "loss": 0.3973,
82
+ "step": 4000
83
+ },
84
+ {
85
+ "epoch": 0.18,
86
+ "eval_LOC_f1": 0.7571125548125672,
87
+ "eval_ORG_f1": 0.648735892760337,
88
+ "eval_PER_f1": 0.7869654790165547,
89
+ "eval_loss": 0.37678804993629456,
90
+ "eval_overall_accuracy": 0.8835828734179773,
91
+ "eval_overall_f1": 0.7360367198972751,
92
+ "eval_overall_precision": 0.7341253555609017,
93
+ "eval_overall_recall": 0.7379580630476841,
94
+ "eval_runtime": 176.7693,
95
+ "eval_samples_per_second": 368.842,
96
+ "eval_steps_per_second": 23.053,
97
+ "step": 4000
98
+ },
99
+ {
100
+ "epoch": 0.22,
101
+ "grad_norm": 10.682718276977539,
102
+ "learning_rate": 1.9365784049468845e-05,
103
+ "loss": 0.3937,
104
+ "step": 5000
105
+ },
106
+ {
107
+ "epoch": 0.22,
108
+ "eval_LOC_f1": 0.7778496267121274,
109
+ "eval_ORG_f1": 0.6430323934146428,
110
+ "eval_PER_f1": 0.7986373262130558,
111
+ "eval_loss": 0.4208361804485321,
112
+ "eval_overall_accuracy": 0.8810407141986101,
113
+ "eval_overall_f1": 0.7449750865636349,
114
+ "eval_overall_precision": 0.7371928798261742,
115
+ "eval_overall_recall": 0.7529233526800956,
116
+ "eval_runtime": 175.2138,
117
+ "eval_samples_per_second": 372.117,
118
+ "eval_steps_per_second": 23.257,
119
+ "step": 5000
120
+ },
121
+ {
122
+ "epoch": 0.27,
123
+ "grad_norm": 9.084446907043457,
124
+ "learning_rate": 1.924106352298313e-05,
125
+ "loss": 0.3536,
126
+ "step": 6000
127
+ },
128
+ {
129
+ "epoch": 0.27,
130
+ "eval_LOC_f1": 0.7828708236001125,
131
+ "eval_ORG_f1": 0.6829649863421904,
132
+ "eval_PER_f1": 0.799357419856545,
133
+ "eval_loss": 0.36626189947128296,
134
+ "eval_overall_accuracy": 0.8907383203725096,
135
+ "eval_overall_f1": 0.760005685048323,
136
+ "eval_overall_precision": 0.7663556759390631,
137
+ "eval_overall_recall": 0.7537600608939571,
138
+ "eval_runtime": 1096.1574,
139
+ "eval_samples_per_second": 59.937,
140
+ "eval_steps_per_second": 0.118,
141
+ "step": 6000
142
+ },
143
+ {
144
+ "epoch": 0.31,
145
+ "grad_norm": 17.549041748046875,
146
+ "learning_rate": 1.9114574110146982e-05,
147
+ "loss": 0.3432,
148
+ "step": 7000
149
+ },
150
+ {
151
+ "epoch": 0.31,
152
+ "eval_LOC_f1": 0.7952019006963426,
153
+ "eval_ORG_f1": 0.6895359096523734,
154
+ "eval_PER_f1": 0.8176749430952034,
155
+ "eval_loss": 0.3385719060897827,
156
+ "eval_overall_accuracy": 0.8962171463957795,
157
+ "eval_overall_f1": 0.771180360157569,
158
+ "eval_overall_precision": 0.7696968420461406,
159
+ "eval_overall_recall": 0.772669607995151,
160
+ "eval_runtime": 858.9522,
161
+ "eval_samples_per_second": 76.489,
162
+ "eval_steps_per_second": 0.15,
163
+ "step": 7000
164
+ },
165
+ {
166
+ "epoch": 0.35,
167
+ "grad_norm": 24.70513916015625,
168
+ "learning_rate": 1.8988084697310836e-05,
169
+ "loss": 0.3278,
170
+ "step": 8000
171
+ },
172
+ {
173
+ "epoch": 0.35,
174
+ "eval_LOC_f1": 0.8013627254509018,
175
+ "eval_ORG_f1": 0.6951269959460578,
176
+ "eval_PER_f1": 0.8197644808913556,
177
+ "eval_loss": 0.34438127279281616,
178
+ "eval_overall_accuracy": 0.898079396458301,
179
+ "eval_overall_f1": 0.7756412540713129,
180
+ "eval_overall_precision": 0.7844467189482182,
181
+ "eval_overall_recall": 0.7670312786321413,
182
+ "eval_runtime": 858.3259,
183
+ "eval_samples_per_second": 76.544,
184
+ "eval_steps_per_second": 0.15,
185
+ "step": 8000
186
+ },
187
+ {
188
+ "epoch": 0.4,
189
+ "grad_norm": 9.711076736450195,
190
+ "learning_rate": 1.8861595284474693e-05,
191
+ "loss": 0.3262,
192
+ "step": 9000
193
+ },
194
+ {
195
+ "epoch": 0.4,
196
+ "eval_LOC_f1": 0.813213095471476,
197
+ "eval_ORG_f1": 0.7107696972759894,
198
+ "eval_PER_f1": 0.8219371637919723,
199
+ "eval_loss": 0.3584470748901367,
200
+ "eval_overall_accuracy": 0.898605619797311,
201
+ "eval_overall_f1": 0.7873656115410829,
202
+ "eval_overall_precision": 0.7973837314349728,
203
+ "eval_overall_recall": 0.7775960982760808,
204
+ "eval_runtime": 870.9363,
205
+ "eval_samples_per_second": 75.436,
206
+ "eval_steps_per_second": 0.148,
207
+ "step": 9000
208
+ },
209
+ {
210
+ "epoch": 0.44,
211
+ "grad_norm": 1.0706424713134766,
212
+ "learning_rate": 1.8735105871638546e-05,
213
+ "loss": 0.3224,
214
+ "step": 10000
215
+ },
216
+ {
217
+ "epoch": 0.44,
218
+ "eval_LOC_f1": 0.8127321363277717,
219
+ "eval_ORG_f1": 0.7053217033370902,
220
+ "eval_PER_f1": 0.8284614520690605,
221
+ "eval_loss": 0.3149181008338928,
222
+ "eval_overall_accuracy": 0.9003740874825833,
223
+ "eval_overall_f1": 0.78723937113973,
224
+ "eval_overall_precision": 0.7880037567703074,
225
+ "eval_overall_recall": 0.7864764670228211,
226
+ "eval_runtime": 905.7017,
227
+ "eval_samples_per_second": 72.54,
228
+ "eval_steps_per_second": 0.142,
229
+ "step": 10000
230
+ },
231
+ {
232
+ "epoch": 0.49,
233
+ "grad_norm": 5.779551982879639,
234
+ "learning_rate": 1.86086164588024e-05,
235
+ "loss": 0.323,
236
+ "step": 11000
237
+ },
238
+ {
239
+ "epoch": 0.49,
240
+ "eval_LOC_f1": 0.8184425456746753,
241
+ "eval_ORG_f1": 0.7099403917116094,
242
+ "eval_PER_f1": 0.8274642760571583,
243
+ "eval_loss": 0.32969576120376587,
244
+ "eval_overall_accuracy": 0.8986934477379095,
245
+ "eval_overall_f1": 0.787954918665525,
246
+ "eval_overall_precision": 0.7845852840472364,
247
+ "eval_overall_recall": 0.7913536219218246,
248
+ "eval_runtime": 904.0471,
249
+ "eval_samples_per_second": 72.673,
250
+ "eval_steps_per_second": 0.143,
251
+ "step": 11000
252
+ },
253
+ {
254
+ "epoch": 0.53,
255
+ "grad_norm": 0.5029723048210144,
256
+ "learning_rate": 1.8482127045966253e-05,
257
+ "loss": 0.307,
258
+ "step": 12000
259
+ },
260
+ {
261
+ "epoch": 0.53,
262
+ "eval_LOC_f1": 0.8216145583120352,
263
+ "eval_ORG_f1": 0.7225526656894693,
264
+ "eval_PER_f1": 0.8273035359038698,
265
+ "eval_loss": 0.3300624191761017,
266
+ "eval_overall_accuracy": 0.9015344583248979,
267
+ "eval_overall_f1": 0.7950728742961997,
268
+ "eval_overall_precision": 0.7871480673058326,
269
+ "eval_overall_recall": 0.8031588740256262,
270
+ "eval_runtime": 864.0266,
271
+ "eval_samples_per_second": 76.039,
272
+ "eval_steps_per_second": 0.149,
273
+ "step": 12000
274
+ },
275
+ {
276
+ "epoch": 0.58,
277
+ "grad_norm": 3.1533098220825195,
278
+ "learning_rate": 1.8355637633130106e-05,
279
+ "loss": 0.3176,
280
+ "step": 13000
281
+ },
282
+ {
283
+ "epoch": 0.58,
284
+ "eval_LOC_f1": 0.8250715828125148,
285
+ "eval_ORG_f1": 0.7192632496804788,
286
+ "eval_PER_f1": 0.8411864068909802,
287
+ "eval_loss": 0.32228201627731323,
288
+ "eval_overall_accuracy": 0.9048257731835991,
289
+ "eval_overall_f1": 0.7993031971987119,
290
+ "eval_overall_precision": 0.7982273018015168,
291
+ "eval_overall_recall": 0.8003819968143439,
292
+ "eval_runtime": 861.5394,
293
+ "eval_samples_per_second": 76.259,
294
+ "eval_steps_per_second": 0.15,
295
+ "step": 13000
296
+ },
297
+ {
298
+ "epoch": 0.62,
299
+ "grad_norm": 27.121158599853516,
300
+ "learning_rate": 1.8229148220293963e-05,
301
+ "loss": 0.3026,
302
+ "step": 14000
303
+ },
304
+ {
305
+ "epoch": 0.62,
306
+ "eval_LOC_f1": 0.813366057700572,
307
+ "eval_ORG_f1": 0.7255497858288067,
308
+ "eval_PER_f1": 0.8334248928753359,
309
+ "eval_loss": 0.31955230236053467,
310
+ "eval_overall_accuracy": 0.9049277429112431,
311
+ "eval_overall_f1": 0.7948808632215472,
312
+ "eval_overall_precision": 0.7823057288325302,
313
+ "eval_overall_recall": 0.8078668790437393,
314
+ "eval_runtime": 870.9305,
315
+ "eval_samples_per_second": 75.437,
316
+ "eval_steps_per_second": 0.148,
317
+ "step": 14000
318
+ },
319
+ {
320
+ "epoch": 0.66,
321
+ "grad_norm": 2.3121883869171143,
322
+ "learning_rate": 1.8102658807457817e-05,
323
+ "loss": 0.3148,
324
+ "step": 15000
325
+ },
326
+ {
327
+ "epoch": 0.66,
328
+ "eval_LOC_f1": 0.8302503673286692,
329
+ "eval_ORG_f1": 0.7304969576437721,
330
+ "eval_PER_f1": 0.8389894805913836,
331
+ "eval_loss": 0.3013811409473419,
332
+ "eval_overall_accuracy": 0.9075328089459457,
333
+ "eval_overall_f1": 0.8036533849292605,
334
+ "eval_overall_precision": 0.8008272039526633,
335
+ "eval_overall_recall": 0.8064995841732094,
336
+ "eval_runtime": 915.5251,
337
+ "eval_samples_per_second": 71.762,
338
+ "eval_steps_per_second": 0.141,
339
+ "step": 15000
340
+ },
341
+ {
342
+ "epoch": 0.71,
343
+ "grad_norm": 9.053048133850098,
344
+ "learning_rate": 1.7976169394621674e-05,
345
+ "loss": 0.2919,
346
+ "step": 16000
347
+ },
348
+ {
349
+ "epoch": 0.71,
350
+ "eval_LOC_f1": 0.8302478759061501,
351
+ "eval_ORG_f1": 0.731782075129564,
352
+ "eval_PER_f1": 0.8492362049256988,
353
+ "eval_loss": 0.29880577325820923,
354
+ "eval_overall_accuracy": 0.9072484845958724,
355
+ "eval_overall_f1": 0.8070731973229327,
356
+ "eval_overall_precision": 0.8054613737671545,
357
+ "eval_overall_recall": 0.8086914847130795,
358
+ "eval_runtime": 868.8985,
359
+ "eval_samples_per_second": 75.613,
360
+ "eval_steps_per_second": 0.148,
361
+ "step": 16000
362
+ },
363
+ {
364
+ "epoch": 0.75,
365
+ "grad_norm": 10.181853294372559,
366
+ "learning_rate": 1.7849679981785527e-05,
367
+ "loss": 0.284,
368
+ "step": 17000
369
+ },
370
+ {
371
+ "epoch": 0.75,
372
+ "eval_LOC_f1": 0.8266632184651193,
373
+ "eval_ORG_f1": 0.7243731835870154,
374
+ "eval_PER_f1": 0.8473984474857374,
375
+ "eval_loss": 0.32140275835990906,
376
+ "eval_overall_accuracy": 0.9021306462945541,
377
+ "eval_overall_f1": 0.8045739646627278,
378
+ "eval_overall_precision": 0.7991697840325968,
379
+ "eval_overall_recall": 0.8100517316719056,
380
+ "eval_runtime": 858.2577,
381
+ "eval_samples_per_second": 76.55,
382
+ "eval_steps_per_second": 0.15,
383
+ "step": 17000
384
+ },
385
+ {
386
+ "epoch": 0.8,
387
+ "grad_norm": 5.25670862197876,
388
+ "learning_rate": 1.772319056894938e-05,
389
+ "loss": 0.3011,
390
+ "step": 18000
391
+ },
392
+ {
393
+ "epoch": 0.8,
394
+ "eval_LOC_f1": 0.8265056399966245,
395
+ "eval_ORG_f1": 0.7394759212033855,
396
+ "eval_PER_f1": 0.8559909523111401,
397
+ "eval_loss": 0.30769339203834534,
398
+ "eval_overall_accuracy": 0.9103075764251944,
399
+ "eval_overall_f1": 0.8115094912358725,
400
+ "eval_overall_precision": 0.8128234861554996,
401
+ "eval_overall_recall": 0.8101997378176846,
402
+ "eval_runtime": 857.6527,
403
+ "eval_samples_per_second": 76.604,
404
+ "eval_steps_per_second": 0.15,
405
+ "step": 18000
406
+ },
407
+ {
408
+ "epoch": 0.84,
409
+ "grad_norm": 3.439514398574829,
410
+ "learning_rate": 1.7596701156113234e-05,
411
+ "loss": 0.2913,
412
+ "step": 19000
413
+ },
414
+ {
415
+ "epoch": 0.84,
416
+ "eval_LOC_f1": 0.827463843173361,
417
+ "eval_ORG_f1": 0.7474629390110435,
418
+ "eval_PER_f1": 0.8510804051006602,
419
+ "eval_loss": 0.3055616617202759,
420
+ "eval_overall_accuracy": 0.9091010586988365,
421
+ "eval_overall_f1": 0.8128348309192438,
422
+ "eval_overall_precision": 0.817294400980434,
423
+ "eval_overall_recall": 0.8084236640683365,
424
+ "eval_runtime": 881.3321,
425
+ "eval_samples_per_second": 74.546,
426
+ "eval_steps_per_second": 0.146,
427
+ "step": 19000
428
+ },
429
+ {
430
+ "epoch": 0.89,
431
+ "grad_norm": 4.887170791625977,
432
+ "learning_rate": 1.747021174327709e-05,
433
+ "loss": 0.2927,
434
+ "step": 20000
435
+ },
436
+ {
437
+ "epoch": 0.89,
438
+ "eval_LOC_f1": 0.8435358479700547,
439
+ "eval_ORG_f1": 0.7490680162942847,
440
+ "eval_PER_f1": 0.859867877786953,
441
+ "eval_loss": 0.28957998752593994,
442
+ "eval_overall_accuracy": 0.9142888616308011,
443
+ "eval_overall_f1": 0.8220150311968236,
444
+ "eval_overall_precision": 0.8269754768392371,
445
+ "eval_overall_recall": 0.8171137391990753,
446
+ "eval_runtime": 908.0817,
447
+ "eval_samples_per_second": 72.35,
448
+ "eval_steps_per_second": 0.142,
449
+ "step": 20000
450
+ },
451
+ {
452
+ "epoch": 0.93,
453
+ "grad_norm": 24.44190216064453,
454
+ "learning_rate": 1.7343722330440944e-05,
455
+ "loss": 0.2833,
456
+ "step": 21000
457
+ },
458
+ {
459
+ "epoch": 0.93,
460
+ "eval_LOC_f1": 0.8368153269843636,
461
+ "eval_ORG_f1": 0.7463167531278608,
462
+ "eval_PER_f1": 0.8518246438142143,
463
+ "eval_loss": 0.3060026466846466,
464
+ "eval_overall_accuracy": 0.9097895404365793,
465
+ "eval_overall_f1": 0.8159558988135214,
466
+ "eval_overall_precision": 0.8099609727642672,
467
+ "eval_overall_recall": 0.8220402294800051,
468
+ "eval_runtime": 860.9742,
469
+ "eval_samples_per_second": 76.309,
470
+ "eval_steps_per_second": 0.15,
471
+ "step": 21000
472
+ }
473
+ ],
474
+ "logging_steps": 1000,
475
+ "max_steps": 158116,
476
+ "num_input_tokens_seen": 0,
477
+ "num_train_epochs": 7,
478
+ "save_steps": 500,
479
+ "total_flos": 5913608888301312.0,
480
+ "train_batch_size": 8,
481
+ "trial_name": null,
482
+ "trial_params": null
483
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0f7a60270f3ee223660c001ddc4e29051fd77c829918010af9f92d6bd976d2e
3
+ size 4856
vocab.txt ADDED
The diff for this file is too large to render. See raw diff