Hritik commited on
Commit
a88c987
1 Parent(s): 47adeb4

first commit

Browse files
Files changed (7) hide show
  1. optimizer.pt +3 -0
  2. pytorch_model.bin +3 -0
  3. rng_state.pth +3 -0
  4. scaler.pt +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +816 -0
  7. training_args.bin +3 -0
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a4c8341d772f9a71bfc3481f2616a0721b3651c231ee04ed3e4210adcab702f
3
+ size 134358981
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5ac96bcedd2453d32162690d0458bd9599c7895436541c9530f8c37cea23adc
3
+ size 7074279085
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d152c322ccb6c2b2de355ea6d185cc25d7807cbd026d0d0c251368c76d3c8c9
3
+ size 14575
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a9231265124867f19e61ab3114384304e7fcaf669e948772279f4fae1a4b413
3
+ size 557
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a183dde7057304298c24481ed4707b640a5c16f56af9175a2cc55341df222027
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,816 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.985976939856653,
5
+ "global_step": 4000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.06,
12
+ "learning_rate": 4.2e-05,
13
+ "loss": 0.8909,
14
+ "step": 50
15
+ },
16
+ {
17
+ "epoch": 0.12,
18
+ "learning_rate": 9.1e-05,
19
+ "loss": 0.8023,
20
+ "step": 100
21
+ },
22
+ {
23
+ "epoch": 0.12,
24
+ "eval_loss": 0.7678152918815613,
25
+ "eval_runtime": 2324.1166,
26
+ "eval_samples_per_second": 0.632,
27
+ "eval_steps_per_second": 0.632,
28
+ "step": 100
29
+ },
30
+ {
31
+ "epoch": 0.19,
32
+ "learning_rate": 9.895140664961637e-05,
33
+ "loss": 0.7815,
34
+ "step": 150
35
+ },
36
+ {
37
+ "epoch": 0.25,
38
+ "learning_rate": 9.767263427109975e-05,
39
+ "loss": 0.8184,
40
+ "step": 200
41
+ },
42
+ {
43
+ "epoch": 0.25,
44
+ "eval_loss": 0.7796664834022522,
45
+ "eval_runtime": 2323.4202,
46
+ "eval_samples_per_second": 0.633,
47
+ "eval_steps_per_second": 0.633,
48
+ "step": 200
49
+ },
50
+ {
51
+ "epoch": 0.31,
52
+ "learning_rate": 9.639386189258313e-05,
53
+ "loss": 0.7501,
54
+ "step": 250
55
+ },
56
+ {
57
+ "epoch": 0.37,
58
+ "learning_rate": 9.51150895140665e-05,
59
+ "loss": 0.7786,
60
+ "step": 300
61
+ },
62
+ {
63
+ "epoch": 0.37,
64
+ "eval_loss": 0.7461986541748047,
65
+ "eval_runtime": 2323.156,
66
+ "eval_samples_per_second": 0.633,
67
+ "eval_steps_per_second": 0.633,
68
+ "step": 300
69
+ },
70
+ {
71
+ "epoch": 0.44,
72
+ "learning_rate": 9.383631713554988e-05,
73
+ "loss": 0.7247,
74
+ "step": 350
75
+ },
76
+ {
77
+ "epoch": 0.5,
78
+ "learning_rate": 9.255754475703325e-05,
79
+ "loss": 0.699,
80
+ "step": 400
81
+ },
82
+ {
83
+ "epoch": 0.5,
84
+ "eval_loss": 0.7154579162597656,
85
+ "eval_runtime": 2326.716,
86
+ "eval_samples_per_second": 0.632,
87
+ "eval_steps_per_second": 0.632,
88
+ "step": 400
89
+ },
90
+ {
91
+ "epoch": 0.56,
92
+ "learning_rate": 9.127877237851663e-05,
93
+ "loss": 0.7498,
94
+ "step": 450
95
+ },
96
+ {
97
+ "epoch": 0.62,
98
+ "learning_rate": 9e-05,
99
+ "loss": 0.6729,
100
+ "step": 500
101
+ },
102
+ {
103
+ "epoch": 0.62,
104
+ "eval_loss": 0.6918142437934875,
105
+ "eval_runtime": 2326.9582,
106
+ "eval_samples_per_second": 0.632,
107
+ "eval_steps_per_second": 0.632,
108
+ "step": 500
109
+ },
110
+ {
111
+ "epoch": 0.69,
112
+ "learning_rate": 8.872122762148338e-05,
113
+ "loss": 0.6821,
114
+ "step": 550
115
+ },
116
+ {
117
+ "epoch": 0.75,
118
+ "learning_rate": 8.744245524296676e-05,
119
+ "loss": 0.7392,
120
+ "step": 600
121
+ },
122
+ {
123
+ "epoch": 0.75,
124
+ "eval_loss": 0.6949509978294373,
125
+ "eval_runtime": 2328.8704,
126
+ "eval_samples_per_second": 0.631,
127
+ "eval_steps_per_second": 0.631,
128
+ "step": 600
129
+ },
130
+ {
131
+ "epoch": 0.81,
132
+ "learning_rate": 8.616368286445013e-05,
133
+ "loss": 0.6848,
134
+ "step": 650
135
+ },
136
+ {
137
+ "epoch": 0.87,
138
+ "learning_rate": 8.488491048593351e-05,
139
+ "loss": 0.7601,
140
+ "step": 700
141
+ },
142
+ {
143
+ "epoch": 0.87,
144
+ "eval_loss": 0.6541839241981506,
145
+ "eval_runtime": 2322.3854,
146
+ "eval_samples_per_second": 0.633,
147
+ "eval_steps_per_second": 0.633,
148
+ "step": 700
149
+ },
150
+ {
151
+ "epoch": 0.93,
152
+ "learning_rate": 8.360613810741689e-05,
153
+ "loss": 0.7163,
154
+ "step": 750
155
+ },
156
+ {
157
+ "epoch": 1.0,
158
+ "learning_rate": 8.232736572890026e-05,
159
+ "loss": 0.7121,
160
+ "step": 800
161
+ },
162
+ {
163
+ "epoch": 1.0,
164
+ "eval_loss": 0.7020866274833679,
165
+ "eval_runtime": 2329.0246,
166
+ "eval_samples_per_second": 0.631,
167
+ "eval_steps_per_second": 0.631,
168
+ "step": 800
169
+ },
170
+ {
171
+ "epoch": 1.06,
172
+ "learning_rate": 8.104859335038364e-05,
173
+ "loss": 0.6303,
174
+ "step": 850
175
+ },
176
+ {
177
+ "epoch": 1.12,
178
+ "learning_rate": 7.992327365728901e-05,
179
+ "loss": 0.834,
180
+ "step": 900
181
+ },
182
+ {
183
+ "epoch": 1.12,
184
+ "eval_loss": 0.8280826210975647,
185
+ "eval_runtime": 2322.7118,
186
+ "eval_samples_per_second": 0.633,
187
+ "eval_steps_per_second": 0.633,
188
+ "step": 900
189
+ },
190
+ {
191
+ "epoch": 1.18,
192
+ "learning_rate": 7.867007672634272e-05,
193
+ "loss": 0.7102,
194
+ "step": 950
195
+ },
196
+ {
197
+ "epoch": 1.25,
198
+ "learning_rate": 7.73913043478261e-05,
199
+ "loss": 0.6845,
200
+ "step": 1000
201
+ },
202
+ {
203
+ "epoch": 1.25,
204
+ "eval_loss": 0.684939444065094,
205
+ "eval_runtime": 2322.9147,
206
+ "eval_samples_per_second": 0.633,
207
+ "eval_steps_per_second": 0.633,
208
+ "step": 1000
209
+ },
210
+ {
211
+ "epoch": 1.31,
212
+ "learning_rate": 7.611253196930947e-05,
213
+ "loss": 0.6918,
214
+ "step": 1050
215
+ },
216
+ {
217
+ "epoch": 1.37,
218
+ "learning_rate": 7.483375959079285e-05,
219
+ "loss": 0.7139,
220
+ "step": 1100
221
+ },
222
+ {
223
+ "epoch": 1.37,
224
+ "eval_loss": 0.682366132736206,
225
+ "eval_runtime": 2323.8642,
226
+ "eval_samples_per_second": 0.633,
227
+ "eval_steps_per_second": 0.633,
228
+ "step": 1100
229
+ },
230
+ {
231
+ "epoch": 1.43,
232
+ "learning_rate": 7.355498721227622e-05,
233
+ "loss": 0.6513,
234
+ "step": 1150
235
+ },
236
+ {
237
+ "epoch": 1.5,
238
+ "learning_rate": 7.22762148337596e-05,
239
+ "loss": 0.6515,
240
+ "step": 1200
241
+ },
242
+ {
243
+ "epoch": 1.5,
244
+ "eval_loss": 0.6614900827407837,
245
+ "eval_runtime": 2324.2619,
246
+ "eval_samples_per_second": 0.632,
247
+ "eval_steps_per_second": 0.632,
248
+ "step": 1200
249
+ },
250
+ {
251
+ "epoch": 1.56,
252
+ "learning_rate": 7.099744245524297e-05,
253
+ "loss": 0.6325,
254
+ "step": 1250
255
+ },
256
+ {
257
+ "epoch": 1.62,
258
+ "learning_rate": 6.971867007672635e-05,
259
+ "loss": 0.6658,
260
+ "step": 1300
261
+ },
262
+ {
263
+ "epoch": 1.62,
264
+ "eval_loss": 0.6691812872886658,
265
+ "eval_runtime": 2322.8992,
266
+ "eval_samples_per_second": 0.633,
267
+ "eval_steps_per_second": 0.633,
268
+ "step": 1300
269
+ },
270
+ {
271
+ "epoch": 1.68,
272
+ "learning_rate": 6.843989769820973e-05,
273
+ "loss": 0.6709,
274
+ "step": 1350
275
+ },
276
+ {
277
+ "epoch": 1.75,
278
+ "learning_rate": 6.71611253196931e-05,
279
+ "loss": 0.6571,
280
+ "step": 1400
281
+ },
282
+ {
283
+ "epoch": 1.75,
284
+ "eval_loss": 0.7406654357910156,
285
+ "eval_runtime": 2323.316,
286
+ "eval_samples_per_second": 0.633,
287
+ "eval_steps_per_second": 0.633,
288
+ "step": 1400
289
+ },
290
+ {
291
+ "epoch": 1.81,
292
+ "learning_rate": 6.588235294117648e-05,
293
+ "loss": 0.6527,
294
+ "step": 1450
295
+ },
296
+ {
297
+ "epoch": 1.87,
298
+ "learning_rate": 6.460358056265985e-05,
299
+ "loss": 0.6432,
300
+ "step": 1500
301
+ },
302
+ {
303
+ "epoch": 1.87,
304
+ "eval_loss": 0.6645843982696533,
305
+ "eval_runtime": 2325.3057,
306
+ "eval_samples_per_second": 0.632,
307
+ "eval_steps_per_second": 0.632,
308
+ "step": 1500
309
+ },
310
+ {
311
+ "epoch": 1.93,
312
+ "learning_rate": 6.332480818414323e-05,
313
+ "loss": 0.6998,
314
+ "step": 1550
315
+ },
316
+ {
317
+ "epoch": 1.99,
318
+ "learning_rate": 6.20460358056266e-05,
319
+ "loss": 0.6777,
320
+ "step": 1600
321
+ },
322
+ {
323
+ "epoch": 1.99,
324
+ "eval_loss": 0.7001596093177795,
325
+ "eval_runtime": 2324.698,
326
+ "eval_samples_per_second": 0.632,
327
+ "eval_steps_per_second": 0.632,
328
+ "step": 1600
329
+ },
330
+ {
331
+ "epoch": 2.06,
332
+ "learning_rate": 6.0767263427109976e-05,
333
+ "loss": 0.63,
334
+ "step": 1650
335
+ },
336
+ {
337
+ "epoch": 2.12,
338
+ "learning_rate": 5.948849104859335e-05,
339
+ "loss": 0.6027,
340
+ "step": 1700
341
+ },
342
+ {
343
+ "epoch": 2.12,
344
+ "eval_loss": 0.6740280389785767,
345
+ "eval_runtime": 2325.0824,
346
+ "eval_samples_per_second": 0.632,
347
+ "eval_steps_per_second": 0.632,
348
+ "step": 1700
349
+ },
350
+ {
351
+ "epoch": 2.18,
352
+ "learning_rate": 5.820971867007673e-05,
353
+ "loss": 0.6171,
354
+ "step": 1750
355
+ },
356
+ {
357
+ "epoch": 2.24,
358
+ "learning_rate": 5.6930946291560104e-05,
359
+ "loss": 0.5711,
360
+ "step": 1800
361
+ },
362
+ {
363
+ "epoch": 2.24,
364
+ "eval_loss": 0.6770710349082947,
365
+ "eval_runtime": 2324.7006,
366
+ "eval_samples_per_second": 0.632,
367
+ "eval_steps_per_second": 0.632,
368
+ "step": 1800
369
+ },
370
+ {
371
+ "epoch": 2.31,
372
+ "learning_rate": 5.565217391304348e-05,
373
+ "loss": 0.6193,
374
+ "step": 1850
375
+ },
376
+ {
377
+ "epoch": 2.37,
378
+ "learning_rate": 5.4373401534526856e-05,
379
+ "loss": 0.6544,
380
+ "step": 1900
381
+ },
382
+ {
383
+ "epoch": 2.37,
384
+ "eval_loss": 0.7468971014022827,
385
+ "eval_runtime": 2324.7323,
386
+ "eval_samples_per_second": 0.632,
387
+ "eval_steps_per_second": 0.632,
388
+ "step": 1900
389
+ },
390
+ {
391
+ "epoch": 2.43,
392
+ "learning_rate": 5.309462915601023e-05,
393
+ "loss": 0.6559,
394
+ "step": 1950
395
+ },
396
+ {
397
+ "epoch": 2.49,
398
+ "learning_rate": 5.181585677749361e-05,
399
+ "loss": 0.6981,
400
+ "step": 2000
401
+ },
402
+ {
403
+ "epoch": 2.49,
404
+ "eval_loss": 0.6552309393882751,
405
+ "eval_runtime": 2325.8405,
406
+ "eval_samples_per_second": 0.632,
407
+ "eval_steps_per_second": 0.632,
408
+ "step": 2000
409
+ },
410
+ {
411
+ "epoch": 2.56,
412
+ "learning_rate": 5.0537084398976984e-05,
413
+ "loss": 0.6161,
414
+ "step": 2050
415
+ },
416
+ {
417
+ "epoch": 2.62,
418
+ "learning_rate": 4.925831202046036e-05,
419
+ "loss": 0.6425,
420
+ "step": 2100
421
+ },
422
+ {
423
+ "epoch": 2.62,
424
+ "eval_loss": 0.6608405113220215,
425
+ "eval_runtime": 2324.8602,
426
+ "eval_samples_per_second": 0.632,
427
+ "eval_steps_per_second": 0.632,
428
+ "step": 2100
429
+ },
430
+ {
431
+ "epoch": 2.68,
432
+ "learning_rate": 4.7979539641943737e-05,
433
+ "loss": 0.5966,
434
+ "step": 2150
435
+ },
436
+ {
437
+ "epoch": 2.74,
438
+ "learning_rate": 4.670076726342711e-05,
439
+ "loss": 0.6435,
440
+ "step": 2200
441
+ },
442
+ {
443
+ "epoch": 2.74,
444
+ "eval_loss": 0.6722382307052612,
445
+ "eval_runtime": 2325.4748,
446
+ "eval_samples_per_second": 0.632,
447
+ "eval_steps_per_second": 0.632,
448
+ "step": 2200
449
+ },
450
+ {
451
+ "epoch": 2.8,
452
+ "learning_rate": 4.542199488491049e-05,
453
+ "loss": 0.6493,
454
+ "step": 2250
455
+ },
456
+ {
457
+ "epoch": 2.87,
458
+ "learning_rate": 4.4143222506393865e-05,
459
+ "loss": 0.6281,
460
+ "step": 2300
461
+ },
462
+ {
463
+ "epoch": 2.87,
464
+ "eval_loss": 0.6553158760070801,
465
+ "eval_runtime": 2324.9442,
466
+ "eval_samples_per_second": 0.632,
467
+ "eval_steps_per_second": 0.632,
468
+ "step": 2300
469
+ },
470
+ {
471
+ "epoch": 2.93,
472
+ "learning_rate": 4.286445012787724e-05,
473
+ "loss": 0.5495,
474
+ "step": 2350
475
+ },
476
+ {
477
+ "epoch": 2.99,
478
+ "learning_rate": 4.158567774936061e-05,
479
+ "loss": 0.6129,
480
+ "step": 2400
481
+ },
482
+ {
483
+ "epoch": 2.99,
484
+ "eval_loss": 0.6536511182785034,
485
+ "eval_runtime": 2325.6669,
486
+ "eval_samples_per_second": 0.632,
487
+ "eval_steps_per_second": 0.632,
488
+ "step": 2400
489
+ },
490
+ {
491
+ "epoch": 3.05,
492
+ "learning_rate": 4.0306905370843986e-05,
493
+ "loss": 0.5085,
494
+ "step": 2450
495
+ },
496
+ {
497
+ "epoch": 3.12,
498
+ "learning_rate": 3.902813299232736e-05,
499
+ "loss": 0.5443,
500
+ "step": 2500
501
+ },
502
+ {
503
+ "epoch": 3.12,
504
+ "eval_loss": 0.659809947013855,
505
+ "eval_runtime": 2326.2914,
506
+ "eval_samples_per_second": 0.632,
507
+ "eval_steps_per_second": 0.632,
508
+ "step": 2500
509
+ },
510
+ {
511
+ "epoch": 3.18,
512
+ "learning_rate": 3.774936061381074e-05,
513
+ "loss": 0.5447,
514
+ "step": 2550
515
+ },
516
+ {
517
+ "epoch": 3.24,
518
+ "learning_rate": 3.6470588235294114e-05,
519
+ "loss": 0.535,
520
+ "step": 2600
521
+ },
522
+ {
523
+ "epoch": 3.24,
524
+ "eval_loss": 0.6724178194999695,
525
+ "eval_runtime": 2327.4156,
526
+ "eval_samples_per_second": 0.632,
527
+ "eval_steps_per_second": 0.632,
528
+ "step": 2600
529
+ },
530
+ {
531
+ "epoch": 3.3,
532
+ "learning_rate": 3.519181585677749e-05,
533
+ "loss": 0.6094,
534
+ "step": 2650
535
+ },
536
+ {
537
+ "epoch": 3.37,
538
+ "learning_rate": 3.3913043478260867e-05,
539
+ "loss": 0.5347,
540
+ "step": 2700
541
+ },
542
+ {
543
+ "epoch": 3.37,
544
+ "eval_loss": 0.6599487662315369,
545
+ "eval_runtime": 2327.143,
546
+ "eval_samples_per_second": 0.632,
547
+ "eval_steps_per_second": 0.632,
548
+ "step": 2700
549
+ },
550
+ {
551
+ "epoch": 3.43,
552
+ "learning_rate": 3.263427109974424e-05,
553
+ "loss": 0.572,
554
+ "step": 2750
555
+ },
556
+ {
557
+ "epoch": 3.49,
558
+ "learning_rate": 3.135549872122762e-05,
559
+ "loss": 0.5493,
560
+ "step": 2800
561
+ },
562
+ {
563
+ "epoch": 3.49,
564
+ "eval_loss": 0.6231494545936584,
565
+ "eval_runtime": 2326.2678,
566
+ "eval_samples_per_second": 0.632,
567
+ "eval_steps_per_second": 0.632,
568
+ "step": 2800
569
+ },
570
+ {
571
+ "epoch": 3.55,
572
+ "learning_rate": 3.0076726342710998e-05,
573
+ "loss": 0.5566,
574
+ "step": 2850
575
+ },
576
+ {
577
+ "epoch": 3.61,
578
+ "learning_rate": 2.8797953964194374e-05,
579
+ "loss": 0.5564,
580
+ "step": 2900
581
+ },
582
+ {
583
+ "epoch": 3.61,
584
+ "eval_loss": 0.6593871116638184,
585
+ "eval_runtime": 2327.2395,
586
+ "eval_samples_per_second": 0.632,
587
+ "eval_steps_per_second": 0.632,
588
+ "step": 2900
589
+ },
590
+ {
591
+ "epoch": 3.68,
592
+ "learning_rate": 2.751918158567775e-05,
593
+ "loss": 0.5787,
594
+ "step": 2950
595
+ },
596
+ {
597
+ "epoch": 3.74,
598
+ "learning_rate": 2.6240409207161126e-05,
599
+ "loss": 0.509,
600
+ "step": 3000
601
+ },
602
+ {
603
+ "epoch": 3.74,
604
+ "eval_loss": 0.6348086595535278,
605
+ "eval_runtime": 2326.4619,
606
+ "eval_samples_per_second": 0.632,
607
+ "eval_steps_per_second": 0.632,
608
+ "step": 3000
609
+ },
610
+ {
611
+ "epoch": 3.8,
612
+ "learning_rate": 2.4961636828644502e-05,
613
+ "loss": 0.5356,
614
+ "step": 3050
615
+ },
616
+ {
617
+ "epoch": 3.86,
618
+ "learning_rate": 2.368286445012788e-05,
619
+ "loss": 0.52,
620
+ "step": 3100
621
+ },
622
+ {
623
+ "epoch": 3.86,
624
+ "eval_loss": 0.6384520530700684,
625
+ "eval_runtime": 2327.6186,
626
+ "eval_samples_per_second": 0.632,
627
+ "eval_steps_per_second": 0.632,
628
+ "step": 3100
629
+ },
630
+ {
631
+ "epoch": 3.93,
632
+ "learning_rate": 2.2404092071611255e-05,
633
+ "loss": 0.5418,
634
+ "step": 3150
635
+ },
636
+ {
637
+ "epoch": 3.99,
638
+ "learning_rate": 2.112531969309463e-05,
639
+ "loss": 0.5569,
640
+ "step": 3200
641
+ },
642
+ {
643
+ "epoch": 3.99,
644
+ "eval_loss": 0.6191104650497437,
645
+ "eval_runtime": 2329.026,
646
+ "eval_samples_per_second": 0.631,
647
+ "eval_steps_per_second": 0.631,
648
+ "step": 3200
649
+ },
650
+ {
651
+ "epoch": 4.05,
652
+ "learning_rate": 1.9846547314578007e-05,
653
+ "loss": 0.4716,
654
+ "step": 3250
655
+ },
656
+ {
657
+ "epoch": 4.11,
658
+ "learning_rate": 1.8567774936061383e-05,
659
+ "loss": 0.501,
660
+ "step": 3300
661
+ },
662
+ {
663
+ "epoch": 4.11,
664
+ "eval_loss": 0.6244591474533081,
665
+ "eval_runtime": 2328.4154,
666
+ "eval_samples_per_second": 0.631,
667
+ "eval_steps_per_second": 0.631,
668
+ "step": 3300
669
+ },
670
+ {
671
+ "epoch": 4.18,
672
+ "learning_rate": 1.728900255754476e-05,
673
+ "loss": 0.4853,
674
+ "step": 3350
675
+ },
676
+ {
677
+ "epoch": 4.24,
678
+ "learning_rate": 1.6010230179028135e-05,
679
+ "loss": 0.5105,
680
+ "step": 3400
681
+ },
682
+ {
683
+ "epoch": 4.24,
684
+ "eval_loss": 0.6227459907531738,
685
+ "eval_runtime": 2328.6203,
686
+ "eval_samples_per_second": 0.631,
687
+ "eval_steps_per_second": 0.631,
688
+ "step": 3400
689
+ },
690
+ {
691
+ "epoch": 4.3,
692
+ "learning_rate": 1.4731457800511508e-05,
693
+ "loss": 0.4757,
694
+ "step": 3450
695
+ },
696
+ {
697
+ "epoch": 4.36,
698
+ "learning_rate": 1.3452685421994884e-05,
699
+ "loss": 0.5064,
700
+ "step": 3500
701
+ },
702
+ {
703
+ "epoch": 4.36,
704
+ "eval_loss": 0.628924548625946,
705
+ "eval_runtime": 2328.7385,
706
+ "eval_samples_per_second": 0.631,
707
+ "eval_steps_per_second": 0.631,
708
+ "step": 3500
709
+ },
710
+ {
711
+ "epoch": 4.43,
712
+ "learning_rate": 1.2173913043478261e-05,
713
+ "loss": 0.5107,
714
+ "step": 3550
715
+ },
716
+ {
717
+ "epoch": 4.49,
718
+ "learning_rate": 1.0895140664961638e-05,
719
+ "loss": 0.5088,
720
+ "step": 3600
721
+ },
722
+ {
723
+ "epoch": 4.49,
724
+ "eval_loss": 0.620337724685669,
725
+ "eval_runtime": 2329.0799,
726
+ "eval_samples_per_second": 0.631,
727
+ "eval_steps_per_second": 0.631,
728
+ "step": 3600
729
+ },
730
+ {
731
+ "epoch": 4.55,
732
+ "learning_rate": 9.616368286445012e-06,
733
+ "loss": 0.5184,
734
+ "step": 3650
735
+ },
736
+ {
737
+ "epoch": 4.61,
738
+ "learning_rate": 8.337595907928388e-06,
739
+ "loss": 0.5246,
740
+ "step": 3700
741
+ },
742
+ {
743
+ "epoch": 4.61,
744
+ "eval_loss": 0.618162989616394,
745
+ "eval_runtime": 2327.9739,
746
+ "eval_samples_per_second": 0.631,
747
+ "eval_steps_per_second": 0.631,
748
+ "step": 3700
749
+ },
750
+ {
751
+ "epoch": 4.67,
752
+ "learning_rate": 7.058823529411765e-06,
753
+ "loss": 0.5027,
754
+ "step": 3750
755
+ },
756
+ {
757
+ "epoch": 4.74,
758
+ "learning_rate": 5.780051150895141e-06,
759
+ "loss": 0.4927,
760
+ "step": 3800
761
+ },
762
+ {
763
+ "epoch": 4.74,
764
+ "eval_loss": 0.6198447942733765,
765
+ "eval_runtime": 2328.8672,
766
+ "eval_samples_per_second": 0.631,
767
+ "eval_steps_per_second": 0.631,
768
+ "step": 3800
769
+ },
770
+ {
771
+ "epoch": 4.8,
772
+ "learning_rate": 4.501278772378517e-06,
773
+ "loss": 0.5568,
774
+ "step": 3850
775
+ },
776
+ {
777
+ "epoch": 4.86,
778
+ "learning_rate": 3.2225063938618927e-06,
779
+ "loss": 0.5038,
780
+ "step": 3900
781
+ },
782
+ {
783
+ "epoch": 4.86,
784
+ "eval_loss": 0.6127236485481262,
785
+ "eval_runtime": 2329.1619,
786
+ "eval_samples_per_second": 0.631,
787
+ "eval_steps_per_second": 0.631,
788
+ "step": 3900
789
+ },
790
+ {
791
+ "epoch": 4.92,
792
+ "learning_rate": 1.943734015345269e-06,
793
+ "loss": 0.5114,
794
+ "step": 3950
795
+ },
796
+ {
797
+ "epoch": 4.99,
798
+ "learning_rate": 6.649616368286445e-07,
799
+ "loss": 0.5494,
800
+ "step": 4000
801
+ },
802
+ {
803
+ "epoch": 4.99,
804
+ "eval_loss": 0.614413321018219,
805
+ "eval_runtime": 2328.9991,
806
+ "eval_samples_per_second": 0.631,
807
+ "eval_steps_per_second": 0.631,
808
+ "step": 4000
809
+ }
810
+ ],
811
+ "max_steps": 4010,
812
+ "num_train_epochs": 5,
813
+ "total_flos": 3.2509882552308204e+18,
814
+ "trial_name": null,
815
+ "trial_params": null
816
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b429dc1da5ecc6af491b3db29c7d759edf5a407a82e094de4d15506500ff1084
3
+ size 4027