jatinarora2702 commited on
Commit
481e40c
·
1 Parent(s): c46bfce

first model version

Browse files
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "allenai/scibert_scivocab_uncased",
3
+ "architectures": [
4
+ "NerModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "LABEL_0",
13
+ "1": "LABEL_1",
14
+ "2": "LABEL_2",
15
+ "3": "LABEL_3"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "LABEL_0": 0,
21
+ "LABEL_1": 1,
22
+ "LABEL_2": 2,
23
+ "LABEL_3": 3
24
+ },
25
+ "layer_norm_eps": 1e-12,
26
+ "max_position_embeddings": 512,
27
+ "model_type": "bert",
28
+ "num_attention_heads": 12,
29
+ "num_hidden_layers": 12,
30
+ "pad_token_id": 0,
31
+ "position_embedding_type": "absolute",
32
+ "type_vocab_size": 2,
33
+ "vocab_size": 31090
34
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b22e3a45b62776f88520839a79d412c03a9af2987feb9650fa7782d5cd414c43
3
+ size 935931429
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7720ce8051f3bb4818371c54d508126437cf9429be51f64b69e85af47d6b647b
3
+ size 467991679
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9f8d239deb3d530c21e4c2a74107a7685526048d9288f2a3552f0015175a80f
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_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "allenai/scibert_scivocab_uncased", "do_basic_tokenize": true, "never_split": null}
trainer_state.json ADDED
@@ -0,0 +1,604 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8643187872085794,
3
+ "best_model_checkpoint": "../out/bio/ner-scibert-qa4-querytype4-char-pattern3-subtext-dim50-new/checkpoints/checkpoint-29601",
4
+ "epoch": 39.0,
5
+ "global_step": 29601,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.6587615283267457,
12
+ "learning_rate": 9.97804128238911e-06,
13
+ "loss": 0.037110485076904294,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_loss": 0.011046583764255047,
19
+ "eval_micro_f1": 0.7884588313085232,
20
+ "step": 759
21
+ },
22
+ {
23
+ "epoch": 1.3175230566534915,
24
+ "learning_rate": 9.956082564778218e-06,
25
+ "loss": 0.01054325771331787,
26
+ "step": 1000
27
+ },
28
+ {
29
+ "epoch": 1.9762845849802373,
30
+ "learning_rate": 9.934123847167326e-06,
31
+ "loss": 0.007474568367004395,
32
+ "step": 1500
33
+ },
34
+ {
35
+ "epoch": 2.0,
36
+ "eval_loss": 0.010235792025923729,
37
+ "eval_micro_f1": 0.8130828840406419,
38
+ "step": 1518
39
+ },
40
+ {
41
+ "epoch": 2.635046113306983,
42
+ "learning_rate": 9.912165129556434e-06,
43
+ "loss": 0.004817815780639648,
44
+ "step": 2000
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_loss": 0.010428558103740215,
49
+ "eval_micro_f1": 0.8344238970819677,
50
+ "step": 2277
51
+ },
52
+ {
53
+ "epoch": 3.2938076416337285,
54
+ "learning_rate": 9.890206411945543e-06,
55
+ "loss": 0.004297223091125488,
56
+ "step": 2500
57
+ },
58
+ {
59
+ "epoch": 3.9525691699604746,
60
+ "learning_rate": 9.868247694334652e-06,
61
+ "loss": 0.00321596097946167,
62
+ "step": 3000
63
+ },
64
+ {
65
+ "epoch": 4.0,
66
+ "eval_loss": 0.011789126321673393,
67
+ "eval_micro_f1": 0.8403736228094328,
68
+ "step": 3036
69
+ },
70
+ {
71
+ "epoch": 4.61133069828722,
72
+ "learning_rate": 9.84628897672376e-06,
73
+ "loss": 0.00230128288269043,
74
+ "step": 3500
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_loss": 0.012464746832847595,
79
+ "eval_micro_f1": 0.837059846869405,
80
+ "step": 3795
81
+ },
82
+ {
83
+ "epoch": 5.270092226613966,
84
+ "learning_rate": 9.824330259112868e-06,
85
+ "loss": 0.0020059123039245608,
86
+ "step": 4000
87
+ },
88
+ {
89
+ "epoch": 5.928853754940711,
90
+ "learning_rate": 9.802371541501977e-06,
91
+ "loss": 0.0016852006912231445,
92
+ "step": 4500
93
+ },
94
+ {
95
+ "epoch": 6.0,
96
+ "eval_loss": 0.013810090720653534,
97
+ "eval_micro_f1": 0.8396595969605289,
98
+ "step": 4554
99
+ },
100
+ {
101
+ "epoch": 6.587615283267457,
102
+ "learning_rate": 9.780412823891085e-06,
103
+ "loss": 0.001301923632621765,
104
+ "step": 5000
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_loss": 0.01601485349237919,
109
+ "eval_micro_f1": 0.8524957931061408,
110
+ "step": 5313
111
+ },
112
+ {
113
+ "epoch": 7.246376811594203,
114
+ "learning_rate": 9.758454106280194e-06,
115
+ "loss": 0.0010347318649291991,
116
+ "step": 5500
117
+ },
118
+ {
119
+ "epoch": 7.905138339920948,
120
+ "learning_rate": 9.736495388669303e-06,
121
+ "loss": 0.0009287782907485962,
122
+ "step": 6000
123
+ },
124
+ {
125
+ "epoch": 8.0,
126
+ "eval_loss": 0.019377898424863815,
127
+ "eval_micro_f1": 0.8397115912912296,
128
+ "step": 6072
129
+ },
130
+ {
131
+ "epoch": 8.563899868247695,
132
+ "learning_rate": 9.714536671058412e-06,
133
+ "loss": 0.0007228772044181824,
134
+ "step": 6500
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_loss": 0.01860038936138153,
139
+ "eval_micro_f1": 0.8470322848517083,
140
+ "step": 6831
141
+ },
142
+ {
143
+ "epoch": 9.22266139657444,
144
+ "learning_rate": 9.692577953447519e-06,
145
+ "loss": 0.0006817178130149841,
146
+ "step": 7000
147
+ },
148
+ {
149
+ "epoch": 9.881422924901186,
150
+ "learning_rate": 9.670619235836628e-06,
151
+ "loss": 0.000784088134765625,
152
+ "step": 7500
153
+ },
154
+ {
155
+ "epoch": 10.0,
156
+ "eval_loss": 0.017025897279381752,
157
+ "eval_micro_f1": 0.8547868618338511,
158
+ "step": 7590
159
+ },
160
+ {
161
+ "epoch": 10.540184453227932,
162
+ "learning_rate": 9.648660518225737e-06,
163
+ "loss": 0.0006126079559326172,
164
+ "step": 8000
165
+ },
166
+ {
167
+ "epoch": 11.0,
168
+ "eval_loss": 0.01750860922038555,
169
+ "eval_micro_f1": 0.8490513387855172,
170
+ "step": 8349
171
+ },
172
+ {
173
+ "epoch": 11.198945981554678,
174
+ "learning_rate": 9.626701800614845e-06,
175
+ "loss": 0.0005611885190010071,
176
+ "step": 8500
177
+ },
178
+ {
179
+ "epoch": 11.857707509881424,
180
+ "learning_rate": 9.604743083003954e-06,
181
+ "loss": 0.0005836631059646607,
182
+ "step": 9000
183
+ },
184
+ {
185
+ "epoch": 12.0,
186
+ "eval_loss": 0.017635338008403778,
187
+ "eval_micro_f1": 0.8532005684902128,
188
+ "step": 9108
189
+ },
190
+ {
191
+ "epoch": 12.516469038208168,
192
+ "learning_rate": 9.582784365393061e-06,
193
+ "loss": 0.0004462006688117981,
194
+ "step": 9500
195
+ },
196
+ {
197
+ "epoch": 13.0,
198
+ "eval_loss": 0.01813138835132122,
199
+ "eval_micro_f1": 0.848467809452106,
200
+ "step": 9867
201
+ },
202
+ {
203
+ "epoch": 13.175230566534914,
204
+ "learning_rate": 9.56082564778217e-06,
205
+ "loss": 0.0004592849016189575,
206
+ "step": 10000
207
+ },
208
+ {
209
+ "epoch": 13.83399209486166,
210
+ "learning_rate": 9.538866930171279e-06,
211
+ "loss": 0.00033676078915596006,
212
+ "step": 10500
213
+ },
214
+ {
215
+ "epoch": 14.0,
216
+ "eval_loss": 0.018653256818652153,
217
+ "eval_micro_f1": 0.8516164681375102,
218
+ "step": 10626
219
+ },
220
+ {
221
+ "epoch": 14.492753623188406,
222
+ "learning_rate": 9.516908212560388e-06,
223
+ "loss": 0.0003650049865245819,
224
+ "step": 11000
225
+ },
226
+ {
227
+ "epoch": 15.0,
228
+ "eval_loss": 0.019014721736311913,
229
+ "eval_micro_f1": 0.8508441462836741,
230
+ "step": 11385
231
+ },
232
+ {
233
+ "epoch": 15.151515151515152,
234
+ "learning_rate": 9.494949494949497e-06,
235
+ "loss": 0.00036732107400894165,
236
+ "step": 11500
237
+ },
238
+ {
239
+ "epoch": 15.810276679841897,
240
+ "learning_rate": 9.472990777338604e-06,
241
+ "loss": 0.000251627117395401,
242
+ "step": 12000
243
+ },
244
+ {
245
+ "epoch": 16.0,
246
+ "eval_loss": 0.019610272720456123,
247
+ "eval_micro_f1": 0.8487043739773622,
248
+ "step": 12144
249
+ },
250
+ {
251
+ "epoch": 16.469038208168644,
252
+ "learning_rate": 9.451032059727712e-06,
253
+ "loss": 0.0005120611190795898,
254
+ "step": 12500
255
+ },
256
+ {
257
+ "epoch": 17.0,
258
+ "eval_loss": 0.018985049799084663,
259
+ "eval_micro_f1": 0.8462077662179299,
260
+ "step": 12903
261
+ },
262
+ {
263
+ "epoch": 17.12779973649539,
264
+ "learning_rate": 9.429073342116821e-06,
265
+ "loss": 0.00031096377968788146,
266
+ "step": 13000
267
+ },
268
+ {
269
+ "epoch": 17.786561264822133,
270
+ "learning_rate": 9.40711462450593e-06,
271
+ "loss": 0.00019182461500167846,
272
+ "step": 13500
273
+ },
274
+ {
275
+ "epoch": 18.0,
276
+ "eval_loss": 0.01964498870074749,
277
+ "eval_micro_f1": 0.8557531957198969,
278
+ "step": 13662
279
+ },
280
+ {
281
+ "epoch": 18.44532279314888,
282
+ "learning_rate": 9.385155906895039e-06,
283
+ "loss": 0.00024452657997608187,
284
+ "step": 14000
285
+ },
286
+ {
287
+ "epoch": 19.0,
288
+ "eval_loss": 0.021180404350161552,
289
+ "eval_micro_f1": 0.8577108770917136,
290
+ "step": 14421
291
+ },
292
+ {
293
+ "epoch": 19.104084321475625,
294
+ "learning_rate": 9.363197189284146e-06,
295
+ "loss": 0.0002680089771747589,
296
+ "step": 14500
297
+ },
298
+ {
299
+ "epoch": 19.76284584980237,
300
+ "learning_rate": 9.341238471673255e-06,
301
+ "loss": 0.0002937615513801575,
302
+ "step": 15000
303
+ },
304
+ {
305
+ "epoch": 20.0,
306
+ "eval_loss": 0.020903080701828003,
307
+ "eval_micro_f1": 0.8581900192349345,
308
+ "step": 15180
309
+ },
310
+ {
311
+ "epoch": 20.421607378129117,
312
+ "learning_rate": 9.319279754062364e-06,
313
+ "loss": 0.00018737909197807313,
314
+ "step": 15500
315
+ },
316
+ {
317
+ "epoch": 21.0,
318
+ "eval_loss": 0.021407702937722206,
319
+ "eval_micro_f1": 0.8597197164416296,
320
+ "step": 15939
321
+ },
322
+ {
323
+ "epoch": 21.080368906455863,
324
+ "learning_rate": 9.297321036451472e-06,
325
+ "loss": 0.0001290062665939331,
326
+ "step": 16000
327
+ },
328
+ {
329
+ "epoch": 21.73913043478261,
330
+ "learning_rate": 9.275362318840581e-06,
331
+ "loss": 0.0001307707875967026,
332
+ "step": 16500
333
+ },
334
+ {
335
+ "epoch": 22.0,
336
+ "eval_loss": 0.02195800468325615,
337
+ "eval_micro_f1": 0.8524727572533776,
338
+ "step": 16698
339
+ },
340
+ {
341
+ "epoch": 22.397891963109355,
342
+ "learning_rate": 9.253403601229688e-06,
343
+ "loss": 0.00023717455565929412,
344
+ "step": 17000
345
+ },
346
+ {
347
+ "epoch": 23.0,
348
+ "eval_loss": 0.022745156660676003,
349
+ "eval_micro_f1": 0.8558443397926969,
350
+ "step": 17457
351
+ },
352
+ {
353
+ "epoch": 23.0566534914361,
354
+ "learning_rate": 9.231444883618797e-06,
355
+ "loss": 0.00017341481149196625,
356
+ "step": 17500
357
+ },
358
+ {
359
+ "epoch": 23.715415019762847,
360
+ "learning_rate": 9.209486166007906e-06,
361
+ "loss": 0.00025756615400314333,
362
+ "step": 18000
363
+ },
364
+ {
365
+ "epoch": 24.0,
366
+ "eval_loss": 0.02122940495610237,
367
+ "eval_micro_f1": 0.8519865691696683,
368
+ "step": 18216
369
+ },
370
+ {
371
+ "epoch": 24.37417654808959,
372
+ "learning_rate": 9.187527448397015e-06,
373
+ "loss": 0.0001464369297027588,
374
+ "step": 18500
375
+ },
376
+ {
377
+ "epoch": 25.0,
378
+ "eval_loss": 0.02185015007853508,
379
+ "eval_micro_f1": 0.8496085697511283,
380
+ "step": 18975
381
+ },
382
+ {
383
+ "epoch": 25.032938076416336,
384
+ "learning_rate": 9.165568730786123e-06,
385
+ "loss": 0.0001510075181722641,
386
+ "step": 19000
387
+ },
388
+ {
389
+ "epoch": 25.691699604743082,
390
+ "learning_rate": 9.143610013175232e-06,
391
+ "loss": 0.00016037344932556152,
392
+ "step": 19500
393
+ },
394
+ {
395
+ "epoch": 26.0,
396
+ "eval_loss": 0.022148123010993004,
397
+ "eval_micro_f1": 0.8574194435600588,
398
+ "step": 19734
399
+ },
400
+ {
401
+ "epoch": 26.350461133069828,
402
+ "learning_rate": 9.12165129556434e-06,
403
+ "loss": 0.000233057901263237,
404
+ "step": 20000
405
+ },
406
+ {
407
+ "epoch": 27.0,
408
+ "eval_loss": 0.022844456136226654,
409
+ "eval_micro_f1": 0.8623087616694572,
410
+ "step": 20493
411
+ },
412
+ {
413
+ "epoch": 27.009222661396574,
414
+ "learning_rate": 9.099692577953448e-06,
415
+ "loss": 0.00011244810372591019,
416
+ "step": 20500
417
+ },
418
+ {
419
+ "epoch": 27.66798418972332,
420
+ "learning_rate": 9.077733860342557e-06,
421
+ "loss": 0.00013506200909614563,
422
+ "step": 21000
423
+ },
424
+ {
425
+ "epoch": 28.0,
426
+ "eval_loss": 0.022953923791646957,
427
+ "eval_micro_f1": 0.8545429086416555,
428
+ "step": 21252
429
+ },
430
+ {
431
+ "epoch": 28.326745718050066,
432
+ "learning_rate": 9.055775142731666e-06,
433
+ "loss": 0.00026963132619857785,
434
+ "step": 21500
435
+ },
436
+ {
437
+ "epoch": 28.985507246376812,
438
+ "learning_rate": 9.033816425120775e-06,
439
+ "loss": 0.00014831958711147307,
440
+ "step": 22000
441
+ },
442
+ {
443
+ "epoch": 29.0,
444
+ "eval_loss": 0.023488974198698997,
445
+ "eval_micro_f1": 0.8477237043668356,
446
+ "step": 22011
447
+ },
448
+ {
449
+ "epoch": 29.64426877470356,
450
+ "learning_rate": 9.011857707509882e-06,
451
+ "loss": 0.0001335151344537735,
452
+ "step": 22500
453
+ },
454
+ {
455
+ "epoch": 30.0,
456
+ "eval_loss": 0.019763289019465446,
457
+ "eval_micro_f1": 0.8529330757872978,
458
+ "step": 22770
459
+ },
460
+ {
461
+ "epoch": 30.303030303030305,
462
+ "learning_rate": 8.98989898989899e-06,
463
+ "loss": 0.00023964977264404297,
464
+ "step": 23000
465
+ },
466
+ {
467
+ "epoch": 30.961791831357047,
468
+ "learning_rate": 8.9679402722881e-06,
469
+ "loss": 0.00018574166297912598,
470
+ "step": 23500
471
+ },
472
+ {
473
+ "epoch": 31.0,
474
+ "eval_loss": 0.02139969728887081,
475
+ "eval_micro_f1": 0.8617217410970216,
476
+ "step": 23529
477
+ },
478
+ {
479
+ "epoch": 31.620553359683793,
480
+ "learning_rate": 8.945981554677208e-06,
481
+ "loss": 7.593867182731629e-05,
482
+ "step": 24000
483
+ },
484
+ {
485
+ "epoch": 32.0,
486
+ "eval_loss": 0.027622610330581665,
487
+ "eval_micro_f1": 0.8440183166154224,
488
+ "step": 24288
489
+ },
490
+ {
491
+ "epoch": 32.27931488801054,
492
+ "learning_rate": 8.924022837066317e-06,
493
+ "loss": 6.25964105129242e-05,
494
+ "step": 24500
495
+ },
496
+ {
497
+ "epoch": 32.93807641633729,
498
+ "learning_rate": 8.902064119455424e-06,
499
+ "loss": 9.8123200237751e-05,
500
+ "step": 25000
501
+ },
502
+ {
503
+ "epoch": 33.0,
504
+ "eval_loss": 0.025167174637317657,
505
+ "eval_micro_f1": 0.8521543222259202,
506
+ "step": 25047
507
+ },
508
+ {
509
+ "epoch": 33.59683794466403,
510
+ "learning_rate": 8.880105401844533e-06,
511
+ "loss": 0.00018300886452198028,
512
+ "step": 25500
513
+ },
514
+ {
515
+ "epoch": 34.0,
516
+ "eval_loss": 0.023568451404571533,
517
+ "eval_micro_f1": 0.851057944458968,
518
+ "step": 25806
519
+ },
520
+ {
521
+ "epoch": 34.25559947299078,
522
+ "learning_rate": 8.858146684233642e-06,
523
+ "loss": 0.00012137698382139205,
524
+ "step": 26000
525
+ },
526
+ {
527
+ "epoch": 34.91436100131752,
528
+ "learning_rate": 8.83618796662275e-06,
529
+ "loss": 0.00019975709915161132,
530
+ "step": 26500
531
+ },
532
+ {
533
+ "epoch": 35.0,
534
+ "eval_loss": 0.022091668099164963,
535
+ "eval_micro_f1": 0.8548590655495029,
536
+ "step": 26565
537
+ },
538
+ {
539
+ "epoch": 35.573122529644266,
540
+ "learning_rate": 8.81422924901186e-06,
541
+ "loss": 0.00012561745941638947,
542
+ "step": 27000
543
+ },
544
+ {
545
+ "epoch": 36.0,
546
+ "eval_loss": 0.02340899035334587,
547
+ "eval_micro_f1": 0.8555708385644274,
548
+ "step": 27324
549
+ },
550
+ {
551
+ "epoch": 36.231884057971016,
552
+ "learning_rate": 8.792270531400966e-06,
553
+ "loss": 0.000144828662276268,
554
+ "step": 27500
555
+ },
556
+ {
557
+ "epoch": 36.89064558629776,
558
+ "learning_rate": 8.770311813790075e-06,
559
+ "loss": 7.70660936832428e-05,
560
+ "step": 28000
561
+ },
562
+ {
563
+ "epoch": 37.0,
564
+ "eval_loss": 0.022807367146015167,
565
+ "eval_micro_f1": 0.8562674089705398,
566
+ "step": 28083
567
+ },
568
+ {
569
+ "epoch": 37.54940711462451,
570
+ "learning_rate": 8.748353096179184e-06,
571
+ "loss": 8.054495602846145e-05,
572
+ "step": 28500
573
+ },
574
+ {
575
+ "epoch": 38.0,
576
+ "eval_loss": 0.021150145679712296,
577
+ "eval_micro_f1": 0.8554654733605974,
578
+ "step": 28842
579
+ },
580
+ {
581
+ "epoch": 38.20816864295125,
582
+ "learning_rate": 8.726394378568293e-06,
583
+ "loss": 0.00011904157698154449,
584
+ "step": 29000
585
+ },
586
+ {
587
+ "epoch": 38.866930171278,
588
+ "learning_rate": 8.704435660957402e-06,
589
+ "loss": 0.00016540713608264923,
590
+ "step": 29500
591
+ },
592
+ {
593
+ "epoch": 39.0,
594
+ "eval_loss": 0.021935490891337395,
595
+ "eval_micro_f1": 0.8643187872085794,
596
+ "step": 29601
597
+ }
598
+ ],
599
+ "max_steps": 227700,
600
+ "num_train_epochs": 300,
601
+ "total_flos": 125343142215754368,
602
+ "trial_name": null,
603
+ "trial_params": null
604
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dccc28ee3c7a41bbda57a8c3e419ebf09c5290923d201e40953a5f443069c5a0
3
+ size 2031
vocab.txt ADDED
The diff for this file is too large to render. See raw diff