logoyazilim commited on
Commit
7a6be3c
1 Parent(s): bc74061

commit files to HF hub

Browse files
Files changed (5) hide show
  1. config.json +31 -0
  2. hyper_params.json +8 -0
  3. pytorch_model.bin +3 -0
  4. trainer_state.json +685 -0
  5. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "logoyazilim/qna_model_0000_1",
3
+ "architectures": [
4
+ "MT5ForConditionalGeneration"
5
+ ],
6
+ "d_ff": 1024,
7
+ "d_kv": 64,
8
+ "d_model": 512,
9
+ "decoder_start_token_id": 0,
10
+ "dense_act_fn": "gelu_new",
11
+ "dropout_rate": 0.1,
12
+ "eos_token_id": 1,
13
+ "feed_forward_proj": "gated-gelu",
14
+ "initializer_factor": 1.0,
15
+ "is_encoder_decoder": true,
16
+ "is_gated_act": true,
17
+ "layer_norm_epsilon": 1e-06,
18
+ "model_type": "mt5",
19
+ "num_decoder_layers": 8,
20
+ "num_heads": 6,
21
+ "num_layers": 8,
22
+ "pad_token_id": 0,
23
+ "relative_attention_max_distance": 128,
24
+ "relative_attention_num_buckets": 32,
25
+ "tie_word_embeddings": false,
26
+ "tokenizer_class": "T5Tokenizer",
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.22.2",
29
+ "use_cache": true,
30
+ "vocab_size": 250102
31
+ }
hyper_params.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "per_device_train_batch_size": 8,
3
+ "per_device_eval_batch_size": 8,
4
+ "gradient_accumulation_steps": 4,
5
+ "learning_rate": 0.0005,
6
+ "num_train_epochs": 8,
7
+ "max_steps": -1
8
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15b41170dceb5ff10d9f3d7e556578d49d4516cfeb18046b185be4459d67e055
3
+ size 1200729797
trainer_state.json ADDED
@@ -0,0 +1,685 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 7.999927855133107,
5
+ "global_step": 55440,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 0.0004954906204906205,
13
+ "loss": 0.5606,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.14,
18
+ "learning_rate": 0.000490981240981241,
19
+ "loss": 0.4359,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.22,
24
+ "learning_rate": 0.00048647186147186144,
25
+ "loss": 0.3852,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.29,
30
+ "learning_rate": 0.000481962481962482,
31
+ "loss": 0.3778,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.36,
36
+ "learning_rate": 0.00047745310245310245,
37
+ "loss": 0.3523,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.43,
42
+ "learning_rate": 0.0004729437229437229,
43
+ "loss": 0.3319,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.51,
48
+ "learning_rate": 0.00046843434343434346,
49
+ "loss": 0.3153,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.58,
54
+ "learning_rate": 0.00046392496392496394,
55
+ "loss": 0.3027,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.65,
60
+ "learning_rate": 0.0004594155844155844,
61
+ "loss": 0.3063,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.72,
66
+ "learning_rate": 0.00045490620490620494,
67
+ "loss": 0.292,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.79,
72
+ "learning_rate": 0.0004503968253968254,
73
+ "loss": 0.2802,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.87,
78
+ "learning_rate": 0.0004458874458874459,
79
+ "loss": 0.2705,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.94,
84
+ "learning_rate": 0.0004413780663780664,
85
+ "loss": 0.2669,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 1.01,
90
+ "learning_rate": 0.00043686868686868685,
91
+ "loss": 0.2616,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 1.08,
96
+ "learning_rate": 0.00043235930735930733,
97
+ "loss": 0.2486,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 1.15,
102
+ "learning_rate": 0.00042784992784992786,
103
+ "loss": 0.2432,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 1.23,
108
+ "learning_rate": 0.00042334054834054834,
109
+ "loss": 0.2413,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 1.3,
114
+ "learning_rate": 0.0004188311688311688,
115
+ "loss": 0.2479,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 1.37,
120
+ "learning_rate": 0.00041432178932178935,
121
+ "loss": 0.2344,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 1.44,
126
+ "learning_rate": 0.0004098124098124098,
127
+ "loss": 0.2363,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 1.52,
132
+ "learning_rate": 0.0004053030303030303,
133
+ "loss": 0.2328,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 1.59,
138
+ "learning_rate": 0.00040079365079365083,
139
+ "loss": 0.237,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 1.66,
144
+ "learning_rate": 0.0003962842712842713,
145
+ "loss": 0.2284,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 1.73,
150
+ "learning_rate": 0.0003917748917748918,
151
+ "loss": 0.2286,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 1.8,
156
+ "learning_rate": 0.00038726551226551226,
157
+ "loss": 0.222,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 1.88,
162
+ "learning_rate": 0.00038275613275613274,
163
+ "loss": 0.2144,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 1.95,
168
+ "learning_rate": 0.0003782467532467532,
169
+ "loss": 0.2272,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 2.02,
174
+ "learning_rate": 0.00037373737373737375,
175
+ "loss": 0.2107,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 2.09,
180
+ "learning_rate": 0.0003692279942279942,
181
+ "loss": 0.2054,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 2.16,
186
+ "learning_rate": 0.0003647186147186147,
187
+ "loss": 0.1953,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 2.24,
192
+ "learning_rate": 0.00036020923520923523,
193
+ "loss": 0.1955,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 2.31,
198
+ "learning_rate": 0.0003556998556998557,
199
+ "loss": 0.2012,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 2.38,
204
+ "learning_rate": 0.0003511904761904762,
205
+ "loss": 0.1938,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 2.45,
210
+ "learning_rate": 0.0003466810966810967,
211
+ "loss": 0.1932,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 2.53,
216
+ "learning_rate": 0.0003421717171717172,
217
+ "loss": 0.1944,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 2.6,
222
+ "learning_rate": 0.00033766233766233767,
223
+ "loss": 0.1967,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 2.67,
228
+ "learning_rate": 0.00033315295815295815,
229
+ "loss": 0.1955,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 2.74,
234
+ "learning_rate": 0.0003286435786435786,
235
+ "loss": 0.1906,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 2.81,
240
+ "learning_rate": 0.0003241341991341991,
241
+ "loss": 0.1894,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 2.89,
246
+ "learning_rate": 0.00031962481962481964,
247
+ "loss": 0.1908,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 2.96,
252
+ "learning_rate": 0.0003151154401154401,
253
+ "loss": 0.1835,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 3.03,
258
+ "learning_rate": 0.0003106060606060606,
259
+ "loss": 0.1755,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 3.1,
264
+ "learning_rate": 0.0003060966810966811,
265
+ "loss": 0.1725,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 3.17,
270
+ "learning_rate": 0.0003015873015873016,
271
+ "loss": 0.172,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 3.25,
276
+ "learning_rate": 0.0002970779220779221,
277
+ "loss": 0.172,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 3.32,
282
+ "learning_rate": 0.0002925685425685426,
283
+ "loss": 0.1649,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 3.39,
288
+ "learning_rate": 0.0002880591630591631,
289
+ "loss": 0.1683,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 3.46,
294
+ "learning_rate": 0.00028354978354978356,
295
+ "loss": 0.1696,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 3.54,
300
+ "learning_rate": 0.00027904040404040404,
301
+ "loss": 0.1695,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 3.61,
306
+ "learning_rate": 0.0002745310245310245,
307
+ "loss": 0.1705,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 3.68,
312
+ "learning_rate": 0.000270021645021645,
313
+ "loss": 0.1659,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 3.75,
318
+ "learning_rate": 0.0002655122655122655,
319
+ "loss": 0.1694,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 3.82,
324
+ "learning_rate": 0.000261002886002886,
325
+ "loss": 0.1599,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 3.9,
330
+ "learning_rate": 0.0002564935064935065,
331
+ "loss": 0.1638,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 3.97,
336
+ "learning_rate": 0.000251984126984127,
337
+ "loss": 0.1662,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 4.04,
342
+ "learning_rate": 0.0002474747474747475,
343
+ "loss": 0.1587,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 4.11,
348
+ "learning_rate": 0.00024296536796536796,
349
+ "loss": 0.1453,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 4.18,
354
+ "learning_rate": 0.00023845598845598847,
355
+ "loss": 0.1505,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 4.26,
360
+ "learning_rate": 0.00023394660894660897,
361
+ "loss": 0.1498,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 4.33,
366
+ "learning_rate": 0.00022943722943722945,
367
+ "loss": 0.145,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 4.4,
372
+ "learning_rate": 0.00022492784992784992,
373
+ "loss": 0.1446,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 4.47,
378
+ "learning_rate": 0.00022041847041847043,
379
+ "loss": 0.1425,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 4.55,
384
+ "learning_rate": 0.0002159090909090909,
385
+ "loss": 0.1465,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 4.62,
390
+ "learning_rate": 0.0002113997113997114,
391
+ "loss": 0.1501,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 4.69,
396
+ "learning_rate": 0.00020689033189033191,
397
+ "loss": 0.1488,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 4.76,
402
+ "learning_rate": 0.0002023809523809524,
403
+ "loss": 0.1506,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 4.83,
408
+ "learning_rate": 0.00019787157287157287,
409
+ "loss": 0.1457,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 4.91,
414
+ "learning_rate": 0.00019336219336219337,
415
+ "loss": 0.1436,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 4.98,
420
+ "learning_rate": 0.00018885281385281385,
421
+ "loss": 0.1447,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 5.05,
426
+ "learning_rate": 0.00018434343434343435,
427
+ "loss": 0.1381,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 5.12,
432
+ "learning_rate": 0.00017983405483405486,
433
+ "loss": 0.1297,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 5.19,
438
+ "learning_rate": 0.00017532467532467534,
439
+ "loss": 0.1284,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 5.27,
444
+ "learning_rate": 0.0001708152958152958,
445
+ "loss": 0.1375,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 5.34,
450
+ "learning_rate": 0.00016630591630591632,
451
+ "loss": 0.1326,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 5.41,
456
+ "learning_rate": 0.0001617965367965368,
457
+ "loss": 0.1351,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 5.48,
462
+ "learning_rate": 0.00015728715728715727,
463
+ "loss": 0.1338,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 5.56,
468
+ "learning_rate": 0.0001527777777777778,
469
+ "loss": 0.1303,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 5.63,
474
+ "learning_rate": 0.00014826839826839828,
475
+ "loss": 0.1311,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 5.7,
480
+ "learning_rate": 0.00014375901875901876,
481
+ "loss": 0.1332,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 5.77,
486
+ "learning_rate": 0.00013924963924963926,
487
+ "loss": 0.132,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 5.84,
492
+ "learning_rate": 0.00013474025974025974,
493
+ "loss": 0.1299,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 5.92,
498
+ "learning_rate": 0.00013023088023088021,
499
+ "loss": 0.128,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 5.99,
504
+ "learning_rate": 0.00012572150072150075,
505
+ "loss": 0.131,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 6.06,
510
+ "learning_rate": 0.00012121212121212122,
511
+ "loss": 0.1173,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 6.13,
516
+ "learning_rate": 0.0001167027417027417,
517
+ "loss": 0.1195,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 6.2,
522
+ "learning_rate": 0.00011219336219336219,
523
+ "loss": 0.1184,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 6.28,
528
+ "learning_rate": 0.0001076839826839827,
529
+ "loss": 0.1226,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 6.35,
534
+ "learning_rate": 0.00010317460317460317,
535
+ "loss": 0.1182,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 6.42,
540
+ "learning_rate": 9.866522366522366e-05,
541
+ "loss": 0.1249,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 6.49,
546
+ "learning_rate": 9.415584415584417e-05,
547
+ "loss": 0.1187,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 6.57,
552
+ "learning_rate": 8.964646464646464e-05,
553
+ "loss": 0.1214,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 6.64,
558
+ "learning_rate": 8.513708513708513e-05,
559
+ "loss": 0.1194,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 6.71,
564
+ "learning_rate": 8.062770562770564e-05,
565
+ "loss": 0.1187,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 6.78,
570
+ "learning_rate": 7.611832611832612e-05,
571
+ "loss": 0.1168,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 6.85,
576
+ "learning_rate": 7.16089466089466e-05,
577
+ "loss": 0.12,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 6.93,
582
+ "learning_rate": 6.709956709956711e-05,
583
+ "loss": 0.1198,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 7.0,
588
+ "learning_rate": 6.259018759018759e-05,
589
+ "loss": 0.1189,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 7.07,
594
+ "learning_rate": 5.808080808080808e-05,
595
+ "loss": 0.1116,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 7.14,
600
+ "learning_rate": 5.357142857142857e-05,
601
+ "loss": 0.1114,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 7.21,
606
+ "learning_rate": 4.9062049062049066e-05,
607
+ "loss": 0.1108,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 7.29,
612
+ "learning_rate": 4.455266955266955e-05,
613
+ "loss": 0.1101,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 7.36,
618
+ "learning_rate": 4.004329004329004e-05,
619
+ "loss": 0.1062,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 7.43,
624
+ "learning_rate": 3.553391053391054e-05,
625
+ "loss": 0.1141,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 7.5,
630
+ "learning_rate": 3.102453102453102e-05,
631
+ "loss": 0.1106,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 7.58,
636
+ "learning_rate": 2.6515151515151516e-05,
637
+ "loss": 0.1105,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 7.65,
642
+ "learning_rate": 2.2005772005772003e-05,
643
+ "loss": 0.11,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 7.72,
648
+ "learning_rate": 1.7496392496392497e-05,
649
+ "loss": 0.1117,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 7.79,
654
+ "learning_rate": 1.2987012987012988e-05,
655
+ "loss": 0.111,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 7.86,
660
+ "learning_rate": 8.477633477633478e-06,
661
+ "loss": 0.1144,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 7.94,
666
+ "learning_rate": 3.968253968253968e-06,
667
+ "loss": 0.1126,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 8.0,
672
+ "step": 55440,
673
+ "total_flos": 9.377895890180506e+17,
674
+ "train_loss": 0.18044453823205198,
675
+ "train_runtime": 140707.6037,
676
+ "train_samples_per_second": 12.609,
677
+ "train_steps_per_second": 0.394
678
+ }
679
+ ],
680
+ "max_steps": 55440,
681
+ "num_train_epochs": 8,
682
+ "total_flos": 9.377895890180506e+17,
683
+ "trial_name": null,
684
+ "trial_params": null
685
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1119915735c3ff6ede8e35e5249fe528efa032125381474a056d5503ac033301
3
+ size 3375