APJ23 commited on
Commit
0d273b8
·
1 Parent(s): 4f511a7

Upload 5 files

Browse files
config (3).json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-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
+ },
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 3072,
22
+ "label2id": {
23
+ "LABEL_0": 0,
24
+ "LABEL_1": 1,
25
+ "LABEL_2": 2,
26
+ "LABEL_3": 3,
27
+ "LABEL_4": 4,
28
+ "LABEL_5": 5
29
+ },
30
+ "layer_norm_eps": 1e-12,
31
+ "max_position_embeddings": 512,
32
+ "model_type": "bert",
33
+ "num_attention_heads": 12,
34
+ "num_hidden_layers": 12,
35
+ "pad_token_id": 0,
36
+ "position_embedding_type": "absolute",
37
+ "problem_type": "single_label_classification",
38
+ "torch_dtype": "float32",
39
+ "transformers_version": "4.28.1",
40
+ "type_vocab_size": 2,
41
+ "use_cache": true,
42
+ "vocab_size": 28996
43
+ }
rng_state (1).pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f59a86174567743dbba554ef7f6638075a8093746de00056da4244f5adbf765
3
+ size 13553
scheduler (1).pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8347f1c7314f6c68f76795f6c7f833d38efe6feff47ff93669dbeda77645d2e3
3
+ size 627
trainer_state (1).json ADDED
@@ -0,0 +1,916 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.2820078962210942,
5
+ "global_step": 1500,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 1.0000000000000002e-06,
13
+ "loss": 1.7773,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.0,
18
+ "learning_rate": 2.0000000000000003e-06,
19
+ "loss": 1.7255,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 3e-06,
25
+ "loss": 1.5729,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.000000000000001e-06,
31
+ "loss": 1.3541,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.0505,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.01,
42
+ "learning_rate": 6e-06,
43
+ "loss": 0.7144,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.01,
48
+ "learning_rate": 7.000000000000001e-06,
49
+ "loss": 0.3478,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 8.000000000000001e-06,
55
+ "loss": 0.1306,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.02,
60
+ "learning_rate": 9e-06,
61
+ "loss": 0.0424,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.02,
66
+ "learning_rate": 1e-05,
67
+ "loss": 0.0169,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.02,
72
+ "learning_rate": 1.1000000000000001e-05,
73
+ "loss": 0.0355,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.02,
78
+ "learning_rate": 1.2e-05,
79
+ "loss": 0.0346,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.02,
84
+ "learning_rate": 1.3000000000000001e-05,
85
+ "loss": 0.0904,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.03,
90
+ "learning_rate": 1.4000000000000001e-05,
91
+ "loss": 0.0351,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.03,
96
+ "learning_rate": 1.5e-05,
97
+ "loss": 0.0337,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.03,
102
+ "learning_rate": 1.6000000000000003e-05,
103
+ "loss": 0.033,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.03,
108
+ "learning_rate": 1.7000000000000003e-05,
109
+ "loss": 0.0901,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.03,
114
+ "learning_rate": 1.8e-05,
115
+ "loss": 0.0081,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.04,
120
+ "learning_rate": 1.9e-05,
121
+ "loss": 0.0335,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.04,
126
+ "learning_rate": 2e-05,
127
+ "loss": 0.0036,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.04,
132
+ "learning_rate": 2.1e-05,
133
+ "loss": 0.0652,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.04,
138
+ "learning_rate": 2.2000000000000003e-05,
139
+ "loss": 0.0346,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.04,
144
+ "learning_rate": 2.3000000000000003e-05,
145
+ "loss": 0.0891,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.05,
150
+ "learning_rate": 2.4e-05,
151
+ "loss": 0.0925,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.05,
156
+ "learning_rate": 2.5e-05,
157
+ "loss": 0.1139,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.05,
162
+ "learning_rate": 2.6000000000000002e-05,
163
+ "loss": 0.0577,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.05,
168
+ "learning_rate": 2.7000000000000002e-05,
169
+ "loss": 0.0073,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.05,
174
+ "learning_rate": 2.8000000000000003e-05,
175
+ "loss": 0.0298,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.05,
180
+ "learning_rate": 2.9e-05,
181
+ "loss": 0.0357,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.06,
186
+ "learning_rate": 3e-05,
187
+ "loss": 0.1385,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.06,
192
+ "learning_rate": 3.1e-05,
193
+ "loss": 0.0063,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.06,
198
+ "learning_rate": 3.2000000000000005e-05,
199
+ "loss": 0.002,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.06,
204
+ "learning_rate": 3.3e-05,
205
+ "loss": 0.0694,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.06,
210
+ "learning_rate": 3.4000000000000007e-05,
211
+ "loss": 0.0315,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.07,
216
+ "learning_rate": 3.5e-05,
217
+ "loss": 0.0035,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.07,
222
+ "learning_rate": 3.6e-05,
223
+ "loss": 0.0327,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.07,
228
+ "learning_rate": 3.7e-05,
229
+ "loss": 0.0324,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.07,
234
+ "learning_rate": 3.8e-05,
235
+ "loss": 0.0025,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.07,
240
+ "learning_rate": 3.9000000000000006e-05,
241
+ "loss": 0.0014,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.08,
246
+ "learning_rate": 4e-05,
247
+ "loss": 0.074,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.08,
252
+ "learning_rate": 4.1e-05,
253
+ "loss": 0.0029,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.08,
258
+ "learning_rate": 4.2e-05,
259
+ "loss": 0.0335,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.08,
264
+ "learning_rate": 4.3e-05,
265
+ "loss": 0.0599,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.08,
270
+ "learning_rate": 4.4000000000000006e-05,
271
+ "loss": 0.0321,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.08,
276
+ "learning_rate": 4.5e-05,
277
+ "loss": 0.0862,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.09,
282
+ "learning_rate": 4.600000000000001e-05,
283
+ "loss": 0.1408,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.09,
288
+ "learning_rate": 4.7e-05,
289
+ "loss": 0.0924,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.09,
294
+ "learning_rate": 4.8e-05,
295
+ "loss": 0.0052,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.09,
300
+ "learning_rate": 4.9e-05,
301
+ "loss": 0.0319,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.09,
306
+ "learning_rate": 5e-05,
307
+ "loss": 0.0654,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.1,
312
+ "learning_rate": 4.995068060761492e-05,
313
+ "loss": 0.0847,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.1,
318
+ "learning_rate": 4.990136121522983e-05,
319
+ "loss": 0.0073,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.1,
324
+ "learning_rate": 4.9852041822844744e-05,
325
+ "loss": 0.0351,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.1,
330
+ "learning_rate": 4.980272243045966e-05,
331
+ "loss": 0.123,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.1,
336
+ "learning_rate": 4.975340303807458e-05,
337
+ "loss": 0.0059,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.11,
342
+ "learning_rate": 4.9704083645689486e-05,
343
+ "loss": 0.0299,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.11,
348
+ "learning_rate": 4.96547642533044e-05,
349
+ "loss": 0.0552,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.11,
354
+ "learning_rate": 4.960544486091931e-05,
355
+ "loss": 0.0616,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.11,
360
+ "learning_rate": 4.955612546853423e-05,
361
+ "loss": 0.0049,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.11,
366
+ "learning_rate": 4.9506806076149144e-05,
367
+ "loss": 0.003,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.11,
372
+ "learning_rate": 4.945748668376406e-05,
373
+ "loss": 0.0688,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.12,
378
+ "learning_rate": 4.940816729137897e-05,
379
+ "loss": 0.1185,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.12,
384
+ "learning_rate": 4.9358847898993886e-05,
385
+ "loss": 0.007,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.12,
390
+ "learning_rate": 4.9309528506608796e-05,
391
+ "loss": 0.058,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.12,
396
+ "learning_rate": 4.926020911422372e-05,
397
+ "loss": 0.0864,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.12,
402
+ "learning_rate": 4.921088972183863e-05,
403
+ "loss": 0.0788,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.13,
408
+ "learning_rate": 4.9161570329453544e-05,
409
+ "loss": 0.0614,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.13,
414
+ "learning_rate": 4.911225093706846e-05,
415
+ "loss": 0.0632,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.13,
420
+ "learning_rate": 4.906293154468337e-05,
421
+ "loss": 0.0834,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.13,
426
+ "learning_rate": 4.9013612152298286e-05,
427
+ "loss": 0.0792,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.13,
432
+ "learning_rate": 4.89642927599132e-05,
433
+ "loss": 0.0096,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.14,
438
+ "learning_rate": 4.891497336752812e-05,
439
+ "loss": 0.0601,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.14,
444
+ "learning_rate": 4.886565397514303e-05,
445
+ "loss": 0.0041,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.14,
450
+ "learning_rate": 4.8816334582757945e-05,
451
+ "loss": 0.0025,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.14,
456
+ "learning_rate": 4.8767015190372854e-05,
457
+ "loss": 0.0326,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.14,
462
+ "learning_rate": 4.871769579798777e-05,
463
+ "loss": 0.0017,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.14,
468
+ "learning_rate": 4.8668376405602686e-05,
469
+ "loss": 0.0015,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.15,
474
+ "learning_rate": 4.86190570132176e-05,
475
+ "loss": 0.0913,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.15,
480
+ "learning_rate": 4.856973762083251e-05,
481
+ "loss": 0.1069,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.15,
486
+ "learning_rate": 4.852041822844743e-05,
487
+ "loss": 0.0625,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.15,
492
+ "learning_rate": 4.847109883606234e-05,
493
+ "loss": 0.0062,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.15,
498
+ "learning_rate": 4.8421779443677254e-05,
499
+ "loss": 0.061,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.16,
504
+ "learning_rate": 4.837246005129217e-05,
505
+ "loss": 0.0311,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.16,
510
+ "learning_rate": 4.8323140658907086e-05,
511
+ "loss": 0.0339,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.16,
516
+ "learning_rate": 4.8273821266522e-05,
517
+ "loss": 0.0028,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.16,
522
+ "learning_rate": 4.822450187413691e-05,
523
+ "loss": 0.0588,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.16,
528
+ "learning_rate": 4.817518248175183e-05,
529
+ "loss": 0.0638,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.17,
534
+ "learning_rate": 4.812586308936674e-05,
535
+ "loss": 0.0035,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.17,
540
+ "learning_rate": 4.8076543696981654e-05,
541
+ "loss": 0.0297,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.17,
546
+ "learning_rate": 4.802722430459657e-05,
547
+ "loss": 0.0028,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.17,
552
+ "learning_rate": 4.7977904912211487e-05,
553
+ "loss": 0.0307,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.17,
558
+ "learning_rate": 4.7928585519826396e-05,
559
+ "loss": 0.0638,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.17,
564
+ "learning_rate": 4.787926612744131e-05,
565
+ "loss": 0.0292,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.18,
570
+ "learning_rate": 4.782994673505622e-05,
571
+ "loss": 0.0308,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.18,
576
+ "learning_rate": 4.7780627342671145e-05,
577
+ "loss": 0.0305,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.18,
582
+ "learning_rate": 4.7731307950286054e-05,
583
+ "loss": 0.0589,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.18,
588
+ "learning_rate": 4.768198855790097e-05,
589
+ "loss": 0.0821,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.18,
594
+ "learning_rate": 4.763266916551588e-05,
595
+ "loss": 0.032,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.19,
600
+ "learning_rate": 4.7583349773130796e-05,
601
+ "loss": 0.0051,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.19,
606
+ "learning_rate": 4.7534030380745706e-05,
607
+ "loss": 0.0464,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 0.19,
612
+ "learning_rate": 4.748471098836063e-05,
613
+ "loss": 0.1152,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 0.19,
618
+ "learning_rate": 4.7435391595975545e-05,
619
+ "loss": 0.0045,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 0.19,
624
+ "learning_rate": 4.7386072203590454e-05,
625
+ "loss": 0.0552,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 0.2,
630
+ "learning_rate": 4.733675281120537e-05,
631
+ "loss": 0.0593,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 0.2,
636
+ "learning_rate": 4.728743341882028e-05,
637
+ "loss": 0.0318,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 0.2,
642
+ "learning_rate": 4.7238114026435196e-05,
643
+ "loss": 0.0297,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 0.2,
648
+ "learning_rate": 4.718879463405011e-05,
649
+ "loss": 0.0424,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 0.2,
654
+ "learning_rate": 4.713947524166503e-05,
655
+ "loss": 0.0565,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 0.2,
660
+ "learning_rate": 4.709015584927994e-05,
661
+ "loss": 0.0029,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 0.21,
666
+ "learning_rate": 4.7040836456894854e-05,
667
+ "loss": 0.0593,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 0.21,
672
+ "learning_rate": 4.6991517064509764e-05,
673
+ "loss": 0.0327,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 0.21,
678
+ "learning_rate": 4.694219767212468e-05,
679
+ "loss": 0.03,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 0.21,
684
+ "learning_rate": 4.6892878279739596e-05,
685
+ "loss": 0.0304,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 0.21,
690
+ "learning_rate": 4.684355888735451e-05,
691
+ "loss": 0.0619,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 0.22,
696
+ "learning_rate": 4.679423949496942e-05,
697
+ "loss": 0.0385,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 0.22,
702
+ "learning_rate": 4.674492010258434e-05,
703
+ "loss": 0.0313,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 0.22,
708
+ "learning_rate": 4.669560071019925e-05,
709
+ "loss": 0.0281,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 0.22,
714
+ "learning_rate": 4.6646281317814164e-05,
715
+ "loss": 0.0304,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 0.22,
720
+ "learning_rate": 4.659696192542909e-05,
721
+ "loss": 0.0319,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 0.23,
726
+ "learning_rate": 4.6547642533043996e-05,
727
+ "loss": 0.0021,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 0.23,
732
+ "learning_rate": 4.649832314065891e-05,
733
+ "loss": 0.0018,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 0.23,
738
+ "learning_rate": 4.644900374827382e-05,
739
+ "loss": 0.0625,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 0.23,
744
+ "learning_rate": 4.639968435588874e-05,
745
+ "loss": 0.0023,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 0.23,
750
+ "learning_rate": 4.635036496350365e-05,
751
+ "loss": 0.0303,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 0.24,
756
+ "learning_rate": 4.630104557111857e-05,
757
+ "loss": 0.0886,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 0.24,
762
+ "learning_rate": 4.625172617873348e-05,
763
+ "loss": 0.0029,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 0.24,
768
+ "learning_rate": 4.6202406786348396e-05,
769
+ "loss": 0.0836,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 0.24,
774
+ "learning_rate": 4.6153087393963306e-05,
775
+ "loss": 0.0289,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 0.24,
780
+ "learning_rate": 4.610376800157822e-05,
781
+ "loss": 0.0665,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 0.24,
786
+ "learning_rate": 4.605444860919313e-05,
787
+ "loss": 0.0053,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 0.25,
792
+ "learning_rate": 4.6005129216808054e-05,
793
+ "loss": 0.0335,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 0.25,
798
+ "learning_rate": 4.5955809824422964e-05,
799
+ "loss": 0.0027,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 0.25,
804
+ "learning_rate": 4.590649043203788e-05,
805
+ "loss": 0.0021,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 0.25,
810
+ "learning_rate": 4.585717103965279e-05,
811
+ "loss": 0.0326,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 0.25,
816
+ "learning_rate": 4.5807851647267706e-05,
817
+ "loss": 0.03,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 0.26,
822
+ "learning_rate": 4.575853225488262e-05,
823
+ "loss": 0.1424,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 0.26,
828
+ "learning_rate": 4.570921286249754e-05,
829
+ "loss": 0.0091,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 0.26,
834
+ "learning_rate": 4.5659893470112455e-05,
835
+ "loss": 0.0032,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 0.26,
840
+ "learning_rate": 4.5610574077727364e-05,
841
+ "loss": 0.0319,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 0.26,
846
+ "learning_rate": 4.556125468534228e-05,
847
+ "loss": 0.0602,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 0.27,
852
+ "learning_rate": 4.551193529295719e-05,
853
+ "loss": 0.0325,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 0.27,
858
+ "learning_rate": 4.5462615900572106e-05,
859
+ "loss": 0.0871,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 0.27,
864
+ "learning_rate": 4.541329650818702e-05,
865
+ "loss": 0.0039,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 0.27,
870
+ "learning_rate": 4.536397711580194e-05,
871
+ "loss": 0.119,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 0.27,
876
+ "learning_rate": 4.531465772341685e-05,
877
+ "loss": 0.0058,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 0.27,
882
+ "learning_rate": 4.5265338331031764e-05,
883
+ "loss": 0.0586,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 0.28,
888
+ "learning_rate": 4.5216018938646674e-05,
889
+ "loss": 0.03,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 0.28,
894
+ "learning_rate": 4.516669954626159e-05,
895
+ "loss": 0.0594,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 0.28,
900
+ "learning_rate": 4.5117380153876506e-05,
901
+ "loss": 0.0663,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 0.28,
906
+ "learning_rate": 4.506806076149142e-05,
907
+ "loss": 0.032,
908
+ "step": 1500
909
+ }
910
+ ],
911
+ "max_steps": 10638,
912
+ "num_train_epochs": 2,
913
+ "total_flos": 9472338173952000.0,
914
+ "trial_name": null,
915
+ "trial_params": null
916
+ }
training_args (1).bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2ec049d4430a0f4619a1bf6076acb5fdee3110102fdcc72c8da1eca7429ee2e
3
+ size 3515