Cameron Clarke commited on
Commit
bd0ca45
1 Parent(s): 9c41f4d

add fixed model files

Browse files
config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-cased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
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
+ "4": "LABEL_4",
17
+ "5": "LABEL_5",
18
+ "6": "LABEL_6",
19
+ "7": "LABEL_7"
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
+ "LABEL_7": 7
32
+ },
33
+ "layer_norm_eps": 1e-12,
34
+ "max_position_embeddings": 512,
35
+ "model_type": "bert",
36
+ "num_attention_heads": 12,
37
+ "num_hidden_layers": 12,
38
+ "pad_token_id": 0,
39
+ "position_embedding_type": "absolute",
40
+ "transformers_version": "4.5.0",
41
+ "type_vocab_size": 2,
42
+ "use_cache": true,
43
+ "vocab_size": 28996
44
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d43c1cf8684f1f9c06ab0752add7ab22ac8a65b9658242cadbffd88d28359363
3
+ size 866657937
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37ae6819c0642b8697ab639bd2221f6bc25706d203509e20888cf0adb3b23ad6
3
+ size 433355017
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:957734ee0e9226541e4336e70cd66e445454b6366001b11c95af8146d7b3cbc0
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": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-cased"}
trainer_state.json ADDED
@@ -0,0 +1,824 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7773735903965078,
3
+ "best_model_checkpoint": "/scratch/ccc779/sbic_targetcategory_model/checkpoint-32985",
4
+ "epoch": 2.0,
5
+ "global_step": 65970,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.2089215154878955e-05,
13
+ "loss": 1.5864,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 1.199688878283925e-05,
19
+ "loss": 1.2104,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.05,
24
+ "learning_rate": 1.1904562410799545e-05,
25
+ "loss": 1.2276,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 1.181223603875984e-05,
31
+ "loss": 1.2612,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.08,
36
+ "learning_rate": 1.1719909666720135e-05,
37
+ "loss": 1.1934,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "learning_rate": 1.1627583294680432e-05,
43
+ "loss": 1.1754,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.11,
48
+ "learning_rate": 1.1535256922640727e-05,
49
+ "loss": 1.2006,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.12,
54
+ "learning_rate": 1.144293055060102e-05,
55
+ "loss": 1.1315,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.14,
60
+ "learning_rate": 1.1350604178561317e-05,
61
+ "loss": 1.1612,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.15,
66
+ "learning_rate": 1.1258277806521612e-05,
67
+ "loss": 1.1651,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.17,
72
+ "learning_rate": 1.1165951434481907e-05,
73
+ "loss": 1.2153,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.18,
78
+ "learning_rate": 1.1073625062442202e-05,
79
+ "loss": 1.1769,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.2,
84
+ "learning_rate": 1.0981298690402497e-05,
85
+ "loss": 0.9871,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.21,
90
+ "learning_rate": 1.0888972318362792e-05,
91
+ "loss": 1.0295,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.23,
96
+ "learning_rate": 1.0796645946323087e-05,
97
+ "loss": 1.0582,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.24,
102
+ "learning_rate": 1.0704319574283382e-05,
103
+ "loss": 1.1231,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.26,
108
+ "learning_rate": 1.0611993202243677e-05,
109
+ "loss": 1.036,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.27,
114
+ "learning_rate": 1.0519666830203972e-05,
115
+ "loss": 1.0158,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.29,
120
+ "learning_rate": 1.0427340458164267e-05,
121
+ "loss": 0.9902,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.3,
126
+ "learning_rate": 1.0335014086124564e-05,
127
+ "loss": 1.0596,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.32,
132
+ "learning_rate": 1.0242687714084859e-05,
133
+ "loss": 1.0969,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.33,
138
+ "learning_rate": 1.0150361342045152e-05,
139
+ "loss": 1.0643,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.35,
144
+ "learning_rate": 1.0058034970005447e-05,
145
+ "loss": 0.9806,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.36,
150
+ "learning_rate": 9.965708597965744e-06,
151
+ "loss": 1.057,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.38,
156
+ "learning_rate": 9.873382225926039e-06,
157
+ "loss": 1.0682,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.39,
162
+ "learning_rate": 9.781055853886334e-06,
163
+ "loss": 1.1143,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.41,
168
+ "learning_rate": 9.688729481846629e-06,
169
+ "loss": 0.9714,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.42,
174
+ "learning_rate": 9.596403109806924e-06,
175
+ "loss": 1.0199,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.44,
180
+ "learning_rate": 9.504076737767219e-06,
181
+ "loss": 0.9187,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.45,
186
+ "learning_rate": 9.411750365727514e-06,
187
+ "loss": 0.9385,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.47,
192
+ "learning_rate": 9.31942399368781e-06,
193
+ "loss": 0.9898,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.49,
198
+ "learning_rate": 9.227097621648104e-06,
199
+ "loss": 1.036,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.5,
204
+ "learning_rate": 9.134771249608399e-06,
205
+ "loss": 0.928,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.52,
210
+ "learning_rate": 9.042444877568694e-06,
211
+ "loss": 0.9821,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.53,
216
+ "learning_rate": 8.95011850552899e-06,
217
+ "loss": 0.9844,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.55,
222
+ "learning_rate": 8.857792133489285e-06,
223
+ "loss": 0.9938,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.56,
228
+ "learning_rate": 8.765465761449579e-06,
229
+ "loss": 0.8945,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.58,
234
+ "learning_rate": 8.673139389409876e-06,
235
+ "loss": 1.0655,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.59,
240
+ "learning_rate": 8.58081301737017e-06,
241
+ "loss": 0.9115,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.61,
246
+ "learning_rate": 8.488486645330466e-06,
247
+ "loss": 0.9287,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.62,
252
+ "learning_rate": 8.39616027329076e-06,
253
+ "loss": 0.9015,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.64,
258
+ "learning_rate": 8.303833901251056e-06,
259
+ "loss": 0.9908,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.65,
264
+ "learning_rate": 8.21150752921135e-06,
265
+ "loss": 1.0955,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.67,
270
+ "learning_rate": 8.119181157171646e-06,
271
+ "loss": 0.9731,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.68,
276
+ "learning_rate": 8.026854785131942e-06,
277
+ "loss": 0.8865,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.7,
282
+ "learning_rate": 7.934528413092236e-06,
283
+ "loss": 0.9823,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.71,
288
+ "learning_rate": 7.84220204105253e-06,
289
+ "loss": 0.9258,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.73,
294
+ "learning_rate": 7.749875669012826e-06,
295
+ "loss": 0.8959,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.74,
300
+ "learning_rate": 7.657549296973122e-06,
301
+ "loss": 1.0291,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.76,
306
+ "learning_rate": 7.5652229249334165e-06,
307
+ "loss": 0.8294,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.77,
312
+ "learning_rate": 7.4728965528937115e-06,
313
+ "loss": 0.9083,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.79,
318
+ "learning_rate": 7.3805701808540065e-06,
319
+ "loss": 1.0509,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.8,
324
+ "learning_rate": 7.288243808814302e-06,
325
+ "loss": 0.9337,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.82,
330
+ "learning_rate": 7.195917436774597e-06,
331
+ "loss": 0.9458,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.83,
336
+ "learning_rate": 7.1035910647348915e-06,
337
+ "loss": 0.9063,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.85,
342
+ "learning_rate": 7.011264692695188e-06,
343
+ "loss": 0.8929,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.86,
348
+ "learning_rate": 6.918938320655482e-06,
349
+ "loss": 0.8642,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.88,
354
+ "learning_rate": 6.826611948615777e-06,
355
+ "loss": 0.845,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.89,
360
+ "learning_rate": 6.7342855765760724e-06,
361
+ "loss": 0.8494,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.91,
366
+ "learning_rate": 6.641959204536368e-06,
367
+ "loss": 0.8934,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.92,
372
+ "learning_rate": 6.549632832496663e-06,
373
+ "loss": 0.8529,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.94,
378
+ "learning_rate": 6.457306460456958e-06,
379
+ "loss": 0.9276,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.95,
384
+ "learning_rate": 6.364980088417254e-06,
385
+ "loss": 0.9077,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.97,
390
+ "learning_rate": 6.272653716377549e-06,
391
+ "loss": 0.8587,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.99,
396
+ "learning_rate": 6.180327344337843e-06,
397
+ "loss": 0.9533,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 1.0,
402
+ "eval_accuracy": 0.7773735903965078,
403
+ "eval_f1": 0.7773735903965078,
404
+ "eval_loss": 1.080080270767212,
405
+ "eval_precision": 0.7773735903965078,
406
+ "eval_recall": 0.7773735903965078,
407
+ "eval_runtime": 45.2439,
408
+ "eval_samples_per_second": 243.038,
409
+ "step": 32985
410
+ },
411
+ {
412
+ "epoch": 1.0,
413
+ "learning_rate": 6.088000972298139e-06,
414
+ "loss": 0.7506,
415
+ "step": 33000
416
+ },
417
+ {
418
+ "epoch": 1.02,
419
+ "learning_rate": 5.995674600258433e-06,
420
+ "loss": 0.6419,
421
+ "step": 33500
422
+ },
423
+ {
424
+ "epoch": 1.03,
425
+ "learning_rate": 5.903348228218729e-06,
426
+ "loss": 0.5962,
427
+ "step": 34000
428
+ },
429
+ {
430
+ "epoch": 1.05,
431
+ "learning_rate": 5.811021856179024e-06,
432
+ "loss": 0.6539,
433
+ "step": 34500
434
+ },
435
+ {
436
+ "epoch": 1.06,
437
+ "learning_rate": 5.718695484139319e-06,
438
+ "loss": 0.6921,
439
+ "step": 35000
440
+ },
441
+ {
442
+ "epoch": 1.08,
443
+ "learning_rate": 5.626369112099615e-06,
444
+ "loss": 0.5754,
445
+ "step": 35500
446
+ },
447
+ {
448
+ "epoch": 1.09,
449
+ "learning_rate": 5.534042740059909e-06,
450
+ "loss": 0.6421,
451
+ "step": 36000
452
+ },
453
+ {
454
+ "epoch": 1.11,
455
+ "learning_rate": 5.441716368020205e-06,
456
+ "loss": 0.6803,
457
+ "step": 36500
458
+ },
459
+ {
460
+ "epoch": 1.12,
461
+ "learning_rate": 5.3493899959805e-06,
462
+ "loss": 0.7151,
463
+ "step": 37000
464
+ },
465
+ {
466
+ "epoch": 1.14,
467
+ "learning_rate": 5.257063623940795e-06,
468
+ "loss": 0.5593,
469
+ "step": 37500
470
+ },
471
+ {
472
+ "epoch": 1.15,
473
+ "learning_rate": 5.16473725190109e-06,
474
+ "loss": 0.5911,
475
+ "step": 38000
476
+ },
477
+ {
478
+ "epoch": 1.17,
479
+ "learning_rate": 5.072410879861385e-06,
480
+ "loss": 0.628,
481
+ "step": 38500
482
+ },
483
+ {
484
+ "epoch": 1.18,
485
+ "learning_rate": 4.98008450782168e-06,
486
+ "loss": 0.6334,
487
+ "step": 39000
488
+ },
489
+ {
490
+ "epoch": 1.2,
491
+ "learning_rate": 4.887758135781975e-06,
492
+ "loss": 0.6261,
493
+ "step": 39500
494
+ },
495
+ {
496
+ "epoch": 1.21,
497
+ "learning_rate": 4.795431763742271e-06,
498
+ "loss": 0.6338,
499
+ "step": 40000
500
+ },
501
+ {
502
+ "epoch": 1.23,
503
+ "learning_rate": 4.703105391702566e-06,
504
+ "loss": 0.6761,
505
+ "step": 40500
506
+ },
507
+ {
508
+ "epoch": 1.24,
509
+ "learning_rate": 4.610779019662861e-06,
510
+ "loss": 0.6878,
511
+ "step": 41000
512
+ },
513
+ {
514
+ "epoch": 1.26,
515
+ "learning_rate": 4.518452647623156e-06,
516
+ "loss": 0.6907,
517
+ "step": 41500
518
+ },
519
+ {
520
+ "epoch": 1.27,
521
+ "learning_rate": 4.426126275583451e-06,
522
+ "loss": 0.6187,
523
+ "step": 42000
524
+ },
525
+ {
526
+ "epoch": 1.29,
527
+ "learning_rate": 4.333799903543746e-06,
528
+ "loss": 0.6238,
529
+ "step": 42500
530
+ },
531
+ {
532
+ "epoch": 1.3,
533
+ "learning_rate": 4.241473531504042e-06,
534
+ "loss": 0.6785,
535
+ "step": 43000
536
+ },
537
+ {
538
+ "epoch": 1.32,
539
+ "learning_rate": 4.149147159464336e-06,
540
+ "loss": 0.6033,
541
+ "step": 43500
542
+ },
543
+ {
544
+ "epoch": 1.33,
545
+ "learning_rate": 4.056820787424632e-06,
546
+ "loss": 0.6451,
547
+ "step": 44000
548
+ },
549
+ {
550
+ "epoch": 1.35,
551
+ "learning_rate": 3.964494415384927e-06,
552
+ "loss": 0.6872,
553
+ "step": 44500
554
+ },
555
+ {
556
+ "epoch": 1.36,
557
+ "learning_rate": 3.872168043345222e-06,
558
+ "loss": 0.6623,
559
+ "step": 45000
560
+ },
561
+ {
562
+ "epoch": 1.38,
563
+ "learning_rate": 3.7798416713055174e-06,
564
+ "loss": 0.6111,
565
+ "step": 45500
566
+ },
567
+ {
568
+ "epoch": 1.39,
569
+ "learning_rate": 3.687515299265812e-06,
570
+ "loss": 0.7073,
571
+ "step": 46000
572
+ },
573
+ {
574
+ "epoch": 1.41,
575
+ "learning_rate": 3.5951889272261075e-06,
576
+ "loss": 0.6318,
577
+ "step": 46500
578
+ },
579
+ {
580
+ "epoch": 1.42,
581
+ "learning_rate": 3.5028625551864025e-06,
582
+ "loss": 0.6551,
583
+ "step": 47000
584
+ },
585
+ {
586
+ "epoch": 1.44,
587
+ "learning_rate": 3.410536183146698e-06,
588
+ "loss": 0.5685,
589
+ "step": 47500
590
+ },
591
+ {
592
+ "epoch": 1.46,
593
+ "learning_rate": 3.3182098111069925e-06,
594
+ "loss": 0.6836,
595
+ "step": 48000
596
+ },
597
+ {
598
+ "epoch": 1.47,
599
+ "learning_rate": 3.225883439067288e-06,
600
+ "loss": 0.6461,
601
+ "step": 48500
602
+ },
603
+ {
604
+ "epoch": 1.49,
605
+ "learning_rate": 3.1335570670275834e-06,
606
+ "loss": 0.5755,
607
+ "step": 49000
608
+ },
609
+ {
610
+ "epoch": 1.5,
611
+ "learning_rate": 3.041230694987878e-06,
612
+ "loss": 0.5359,
613
+ "step": 49500
614
+ },
615
+ {
616
+ "epoch": 1.52,
617
+ "learning_rate": 2.9489043229481734e-06,
618
+ "loss": 0.6455,
619
+ "step": 50000
620
+ },
621
+ {
622
+ "epoch": 1.53,
623
+ "learning_rate": 2.856577950908469e-06,
624
+ "loss": 0.737,
625
+ "step": 50500
626
+ },
627
+ {
628
+ "epoch": 1.55,
629
+ "learning_rate": 2.764251578868764e-06,
630
+ "loss": 0.6399,
631
+ "step": 51000
632
+ },
633
+ {
634
+ "epoch": 1.56,
635
+ "learning_rate": 2.671925206829059e-06,
636
+ "loss": 0.587,
637
+ "step": 51500
638
+ },
639
+ {
640
+ "epoch": 1.58,
641
+ "learning_rate": 2.579598834789354e-06,
642
+ "loss": 0.5731,
643
+ "step": 52000
644
+ },
645
+ {
646
+ "epoch": 1.59,
647
+ "learning_rate": 2.487272462749649e-06,
648
+ "loss": 0.6493,
649
+ "step": 52500
650
+ },
651
+ {
652
+ "epoch": 1.61,
653
+ "learning_rate": 2.3949460907099443e-06,
654
+ "loss": 0.6159,
655
+ "step": 53000
656
+ },
657
+ {
658
+ "epoch": 1.62,
659
+ "learning_rate": 2.3026197186702393e-06,
660
+ "loss": 0.5018,
661
+ "step": 53500
662
+ },
663
+ {
664
+ "epoch": 1.64,
665
+ "learning_rate": 2.2102933466305343e-06,
666
+ "loss": 0.5409,
667
+ "step": 54000
668
+ },
669
+ {
670
+ "epoch": 1.65,
671
+ "learning_rate": 2.1179669745908293e-06,
672
+ "loss": 0.5077,
673
+ "step": 54500
674
+ },
675
+ {
676
+ "epoch": 1.67,
677
+ "learning_rate": 2.0256406025511248e-06,
678
+ "loss": 0.6574,
679
+ "step": 55000
680
+ },
681
+ {
682
+ "epoch": 1.68,
683
+ "learning_rate": 1.93331423051142e-06,
684
+ "loss": 0.5516,
685
+ "step": 55500
686
+ },
687
+ {
688
+ "epoch": 1.7,
689
+ "learning_rate": 1.840987858471715e-06,
690
+ "loss": 0.6192,
691
+ "step": 56000
692
+ },
693
+ {
694
+ "epoch": 1.71,
695
+ "learning_rate": 1.7486614864320102e-06,
696
+ "loss": 0.5709,
697
+ "step": 56500
698
+ },
699
+ {
700
+ "epoch": 1.73,
701
+ "learning_rate": 1.6563351143923052e-06,
702
+ "loss": 0.6052,
703
+ "step": 57000
704
+ },
705
+ {
706
+ "epoch": 1.74,
707
+ "learning_rate": 1.5640087423526005e-06,
708
+ "loss": 0.5838,
709
+ "step": 57500
710
+ },
711
+ {
712
+ "epoch": 1.76,
713
+ "learning_rate": 1.4716823703128957e-06,
714
+ "loss": 0.6324,
715
+ "step": 58000
716
+ },
717
+ {
718
+ "epoch": 1.77,
719
+ "learning_rate": 1.3793559982731907e-06,
720
+ "loss": 0.5654,
721
+ "step": 58500
722
+ },
723
+ {
724
+ "epoch": 1.79,
725
+ "learning_rate": 1.287029626233486e-06,
726
+ "loss": 0.6369,
727
+ "step": 59000
728
+ },
729
+ {
730
+ "epoch": 1.8,
731
+ "learning_rate": 1.194703254193781e-06,
732
+ "loss": 0.6101,
733
+ "step": 59500
734
+ },
735
+ {
736
+ "epoch": 1.82,
737
+ "learning_rate": 1.102376882154076e-06,
738
+ "loss": 0.609,
739
+ "step": 60000
740
+ },
741
+ {
742
+ "epoch": 1.83,
743
+ "learning_rate": 1.0100505101143714e-06,
744
+ "loss": 0.5838,
745
+ "step": 60500
746
+ },
747
+ {
748
+ "epoch": 1.85,
749
+ "learning_rate": 9.177241380746664e-07,
750
+ "loss": 0.5898,
751
+ "step": 61000
752
+ },
753
+ {
754
+ "epoch": 1.86,
755
+ "learning_rate": 8.253977660349615e-07,
756
+ "loss": 0.5207,
757
+ "step": 61500
758
+ },
759
+ {
760
+ "epoch": 1.88,
761
+ "learning_rate": 7.330713939952566e-07,
762
+ "loss": 0.5671,
763
+ "step": 62000
764
+ },
765
+ {
766
+ "epoch": 1.89,
767
+ "learning_rate": 6.407450219555517e-07,
768
+ "loss": 0.5419,
769
+ "step": 62500
770
+ },
771
+ {
772
+ "epoch": 1.91,
773
+ "learning_rate": 5.48418649915847e-07,
774
+ "loss": 0.5781,
775
+ "step": 63000
776
+ },
777
+ {
778
+ "epoch": 1.93,
779
+ "learning_rate": 4.5609227787614203e-07,
780
+ "loss": 0.5255,
781
+ "step": 63500
782
+ },
783
+ {
784
+ "epoch": 1.94,
785
+ "learning_rate": 3.6376590583643715e-07,
786
+ "loss": 0.5419,
787
+ "step": 64000
788
+ },
789
+ {
790
+ "epoch": 1.96,
791
+ "learning_rate": 2.714395337967323e-07,
792
+ "loss": 0.63,
793
+ "step": 64500
794
+ },
795
+ {
796
+ "epoch": 1.97,
797
+ "learning_rate": 1.7911316175702744e-07,
798
+ "loss": 0.5792,
799
+ "step": 65000
800
+ },
801
+ {
802
+ "epoch": 1.99,
803
+ "learning_rate": 8.678678971732258e-08,
804
+ "loss": 0.6106,
805
+ "step": 65500
806
+ },
807
+ {
808
+ "epoch": 2.0,
809
+ "eval_accuracy": 0.7744634412513641,
810
+ "eval_f1": 0.7744634412513641,
811
+ "eval_loss": 1.3352124691009521,
812
+ "eval_precision": 0.7744634412513641,
813
+ "eval_recall": 0.7744634412513641,
814
+ "eval_runtime": 55.8298,
815
+ "eval_samples_per_second": 196.956,
816
+ "step": 65970
817
+ }
818
+ ],
819
+ "max_steps": 65970,
820
+ "num_train_epochs": 2,
821
+ "total_flos": 3284044576091760.0,
822
+ "trial_name": null,
823
+ "trial_params": null
824
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c16e94b626c6d088f9c6a0189b96f387c1f4d290bbfb9dc96d91a3e6acf8491
3
+ size 2351
vocab.txt ADDED
The diff for this file is too large to render. See raw diff