emendes3 commited on
Commit
0d6772f
·
verified ·
1 Parent(s): c760b2f

End of training

Browse files
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 1.6014
19
 
20
  ## Model description
21
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:-----:|:----:|:---------------:|
54
- | 0.9019 | 1.0 | 9 | 1.0177 |
55
- | 0.2356 | 2.0 | 18 | 1.1177 |
56
- | 0.0761 | 3.0 | 27 | 1.1808 |
57
- | 0.0304 | 4.0 | 36 | 1.3987 |
58
- | 0.0092 | 5.0 | 45 | 1.4471 |
59
- | 0.009 | 6.0 | 54 | 1.4910 |
60
- | 0.0055 | 7.0 | 63 | 1.5329 |
61
- | 0.0022 | 8.0 | 72 | 1.5343 |
62
- | 0.002 | 9.0 | 81 | 1.5295 |
63
- | 0.0011 | 10.0 | 90 | 1.6014 |
64
 
65
 
66
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.6820
19
 
20
  ## Model description
21
 
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:-----:|:----:|:---------------:|
54
+ | 0.8996 | 1.0 | 9 | 1.0150 |
55
+ | 0.2338 | 2.0 | 18 | 1.1114 |
56
+ | 0.0743 | 3.0 | 27 | 1.1836 |
57
+ | 0.0278 | 4.0 | 36 | 1.4034 |
58
+ | 0.0122 | 5.0 | 45 | 1.4664 |
59
+ | 0.0129 | 6.0 | 54 | 1.4691 |
60
+ | 0.0062 | 7.0 | 63 | 1.4761 |
61
+ | 0.0026 | 8.0 | 72 | 1.4731 |
62
+ | 0.0018 | 9.0 | 81 | 1.6151 |
63
+ | 0.0012 | 10.0 | 90 | 1.6820 |
64
 
65
 
66
  ### Framework versions
adapter_config.json CHANGED
@@ -20,13 +20,13 @@
20
  "rank_pattern": {},
21
  "revision": null,
22
  "target_modules": [
23
- "gate_proj",
24
- "v_proj",
25
- "k_proj",
26
- "o_proj",
27
  "up_proj",
 
28
  "q_proj",
29
- "down_proj"
 
 
30
  ],
31
  "task_type": "CAUSAL_LM",
32
  "use_dora": false,
 
20
  "rank_pattern": {},
21
  "revision": null,
22
  "target_modules": [
23
+ "down_proj",
 
 
 
24
  "up_proj",
25
+ "v_proj",
26
  "q_proj",
27
+ "o_proj",
28
+ "k_proj",
29
+ "gate_proj"
30
  ],
31
  "task_type": "CAUSAL_LM",
32
  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5cde74d154b0ceab1269ba61d5a4b6fb8824ca53401ce2d7883ea4260038dbb7
3
  size 1001466944
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4b07faf4303adce1d3a5f06a333f3e2a732a9b2281ecf992f74156c62e7efd3
3
  size 1001466944
trainer_state.json CHANGED
@@ -17,93 +17,93 @@
17
  {
18
  "epoch": 0.22,
19
  "learning_rate": 0.00012618595071429146,
20
- "loss": 1.3352,
21
  "step": 2
22
  },
23
  {
24
  "epoch": 0.33,
25
  "learning_rate": 0.0002,
26
- "loss": 1.4468,
27
  "step": 3
28
  },
29
  {
30
  "epoch": 0.44,
31
  "learning_rate": 0.0002,
32
- "loss": 1.2444,
33
  "step": 4
34
  },
35
  {
36
  "epoch": 0.56,
37
  "learning_rate": 0.0002,
38
- "loss": 1.1357,
39
  "step": 5
40
  },
41
  {
42
  "epoch": 0.67,
43
  "learning_rate": 0.0002,
44
- "loss": 1.0412,
45
  "step": 6
46
  },
47
  {
48
  "epoch": 0.78,
49
  "learning_rate": 0.0002,
50
- "loss": 0.9966,
51
  "step": 7
52
  },
53
  {
54
  "epoch": 0.89,
55
  "learning_rate": 0.0002,
56
- "loss": 0.8682,
57
  "step": 8
58
  },
59
  {
60
  "epoch": 1.0,
61
  "learning_rate": 0.0002,
62
- "loss": 0.9019,
63
  "step": 9
64
  },
65
  {
66
  "epoch": 1.0,
67
- "eval_loss": 1.0177268981933594,
68
- "eval_runtime": 11.4956,
69
- "eval_samples_per_second": 4.349,
70
- "eval_steps_per_second": 0.174,
71
  "step": 9
72
  },
73
  {
74
  "epoch": 1.11,
75
  "learning_rate": 0.0002,
76
- "loss": 0.6961,
77
  "step": 10
78
  },
79
  {
80
  "epoch": 1.22,
81
  "learning_rate": 0.0002,
82
- "loss": 0.5139,
83
  "step": 11
84
  },
85
  {
86
  "epoch": 1.33,
87
  "learning_rate": 0.0002,
88
- "loss": 0.4883,
89
  "step": 12
90
  },
91
  {
92
  "epoch": 1.44,
93
  "learning_rate": 0.0002,
94
- "loss": 0.5516,
95
  "step": 13
96
  },
97
  {
98
  "epoch": 1.56,
99
  "learning_rate": 0.0002,
100
- "loss": 0.4948,
101
  "step": 14
102
  },
103
  {
104
  "epoch": 1.67,
105
  "learning_rate": 0.0002,
106
- "loss": 0.4729,
107
  "step": 15
108
  },
109
  {
@@ -115,527 +115,527 @@
115
  {
116
  "epoch": 1.89,
117
  "learning_rate": 0.0002,
118
- "loss": 0.2823,
119
  "step": 17
120
  },
121
  {
122
  "epoch": 2.0,
123
  "learning_rate": 0.0002,
124
- "loss": 0.2356,
125
  "step": 18
126
  },
127
  {
128
  "epoch": 2.0,
129
- "eval_loss": 1.1176843643188477,
130
- "eval_runtime": 6.3692,
131
- "eval_samples_per_second": 7.85,
132
- "eval_steps_per_second": 0.314,
133
  "step": 18
134
  },
135
  {
136
  "epoch": 2.11,
137
  "learning_rate": 0.0002,
138
- "loss": 0.1731,
139
  "step": 19
140
  },
141
  {
142
  "epoch": 2.22,
143
  "learning_rate": 0.0002,
144
- "loss": 0.1148,
145
  "step": 20
146
  },
147
  {
148
  "epoch": 2.33,
149
  "learning_rate": 0.0002,
150
- "loss": 0.1148,
151
  "step": 21
152
  },
153
  {
154
  "epoch": 2.44,
155
  "learning_rate": 0.0002,
156
- "loss": 0.133,
157
  "step": 22
158
  },
159
  {
160
  "epoch": 2.56,
161
  "learning_rate": 0.0002,
162
- "loss": 0.0924,
163
  "step": 23
164
  },
165
  {
166
  "epoch": 2.67,
167
  "learning_rate": 0.0002,
168
- "loss": 0.0582,
169
  "step": 24
170
  },
171
  {
172
  "epoch": 2.78,
173
  "learning_rate": 0.0002,
174
- "loss": 0.0998,
175
  "step": 25
176
  },
177
  {
178
  "epoch": 2.89,
179
  "learning_rate": 0.0002,
180
- "loss": 0.099,
181
  "step": 26
182
  },
183
  {
184
  "epoch": 3.0,
185
  "learning_rate": 0.0002,
186
- "loss": 0.0761,
187
  "step": 27
188
  },
189
  {
190
  "epoch": 3.0,
191
- "eval_loss": 1.1807804107666016,
192
- "eval_runtime": 6.295,
193
- "eval_samples_per_second": 7.943,
194
- "eval_steps_per_second": 0.318,
195
  "step": 27
196
  },
197
  {
198
  "epoch": 3.11,
199
  "learning_rate": 0.0002,
200
- "loss": 0.0424,
201
  "step": 28
202
  },
203
  {
204
  "epoch": 3.22,
205
  "learning_rate": 0.0002,
206
- "loss": 0.0367,
207
  "step": 29
208
  },
209
  {
210
  "epoch": 3.33,
211
  "learning_rate": 0.0002,
212
- "loss": 0.0423,
213
  "step": 30
214
  },
215
  {
216
  "epoch": 3.44,
217
  "learning_rate": 0.0002,
218
- "loss": 0.0236,
219
  "step": 31
220
  },
221
  {
222
  "epoch": 3.56,
223
  "learning_rate": 0.0002,
224
- "loss": 0.0347,
225
  "step": 32
226
  },
227
  {
228
  "epoch": 3.67,
229
  "learning_rate": 0.0002,
230
- "loss": 0.0352,
231
  "step": 33
232
  },
233
  {
234
  "epoch": 3.78,
235
  "learning_rate": 0.0002,
236
- "loss": 0.0333,
237
  "step": 34
238
  },
239
  {
240
  "epoch": 3.89,
241
  "learning_rate": 0.0002,
242
- "loss": 0.0491,
243
  "step": 35
244
  },
245
  {
246
  "epoch": 4.0,
247
  "learning_rate": 0.0002,
248
- "loss": 0.0304,
249
  "step": 36
250
  },
251
  {
252
  "epoch": 4.0,
253
- "eval_loss": 1.3986564874649048,
254
- "eval_runtime": 6.3879,
255
- "eval_samples_per_second": 7.827,
256
- "eval_steps_per_second": 0.313,
257
  "step": 36
258
  },
259
  {
260
  "epoch": 4.11,
261
  "learning_rate": 0.0002,
262
- "loss": 0.0099,
263
  "step": 37
264
  },
265
  {
266
  "epoch": 4.22,
267
  "learning_rate": 0.0002,
268
- "loss": 0.016,
269
  "step": 38
270
  },
271
  {
272
  "epoch": 4.33,
273
  "learning_rate": 0.0002,
274
- "loss": 0.0133,
275
  "step": 39
276
  },
277
  {
278
  "epoch": 4.44,
279
  "learning_rate": 0.0002,
280
- "loss": 0.0128,
281
  "step": 40
282
  },
283
  {
284
  "epoch": 4.56,
285
  "learning_rate": 0.0002,
286
- "loss": 0.0101,
287
  "step": 41
288
  },
289
  {
290
  "epoch": 4.67,
291
  "learning_rate": 0.0002,
292
- "loss": 0.0204,
293
  "step": 42
294
  },
295
  {
296
  "epoch": 4.78,
297
  "learning_rate": 0.0002,
298
- "loss": 0.0263,
299
  "step": 43
300
  },
301
  {
302
  "epoch": 4.89,
303
  "learning_rate": 0.0002,
304
- "loss": 0.0111,
305
  "step": 44
306
  },
307
  {
308
  "epoch": 5.0,
309
  "learning_rate": 0.0002,
310
- "loss": 0.0092,
311
  "step": 45
312
  },
313
  {
314
  "epoch": 5.0,
315
- "eval_loss": 1.4470524787902832,
316
- "eval_runtime": 6.2792,
317
- "eval_samples_per_second": 7.963,
318
- "eval_steps_per_second": 0.319,
319
  "step": 45
320
  },
321
  {
322
  "epoch": 5.11,
323
  "learning_rate": 0.0002,
324
- "loss": 0.0043,
325
  "step": 46
326
  },
327
  {
328
  "epoch": 5.22,
329
  "learning_rate": 0.0002,
330
- "loss": 0.0111,
331
  "step": 47
332
  },
333
  {
334
  "epoch": 5.33,
335
  "learning_rate": 0.0002,
336
- "loss": 0.0084,
337
  "step": 48
338
  },
339
  {
340
  "epoch": 5.44,
341
  "learning_rate": 0.0002,
342
- "loss": 0.0075,
343
  "step": 49
344
  },
345
  {
346
  "epoch": 5.56,
347
  "learning_rate": 0.0002,
348
- "loss": 0.0048,
349
  "step": 50
350
  },
351
  {
352
  "epoch": 5.67,
353
  "learning_rate": 0.0002,
354
- "loss": 0.0125,
355
  "step": 51
356
  },
357
  {
358
  "epoch": 5.78,
359
  "learning_rate": 0.0002,
360
- "loss": 0.0069,
361
  "step": 52
362
  },
363
  {
364
  "epoch": 5.89,
365
  "learning_rate": 0.0002,
366
- "loss": 0.0058,
367
  "step": 53
368
  },
369
  {
370
  "epoch": 6.0,
371
  "learning_rate": 0.0002,
372
- "loss": 0.009,
373
  "step": 54
374
  },
375
  {
376
  "epoch": 6.0,
377
- "eval_loss": 1.4909963607788086,
378
- "eval_runtime": 6.398,
379
- "eval_samples_per_second": 7.815,
380
- "eval_steps_per_second": 0.313,
381
  "step": 54
382
  },
383
  {
384
  "epoch": 6.11,
385
  "learning_rate": 0.0002,
386
- "loss": 0.0041,
387
  "step": 55
388
  },
389
  {
390
  "epoch": 6.22,
391
  "learning_rate": 0.0002,
392
- "loss": 0.0048,
393
  "step": 56
394
  },
395
  {
396
  "epoch": 6.33,
397
  "learning_rate": 0.0002,
398
- "loss": 0.0053,
399
  "step": 57
400
  },
401
  {
402
  "epoch": 6.44,
403
  "learning_rate": 0.0002,
404
- "loss": 0.0045,
405
  "step": 58
406
  },
407
  {
408
  "epoch": 6.56,
409
  "learning_rate": 0.0002,
410
- "loss": 0.0109,
411
  "step": 59
412
  },
413
  {
414
  "epoch": 6.67,
415
  "learning_rate": 0.0002,
416
- "loss": 0.0064,
417
  "step": 60
418
  },
419
  {
420
  "epoch": 6.78,
421
  "learning_rate": 0.0002,
422
- "loss": 0.0056,
423
  "step": 61
424
  },
425
  {
426
  "epoch": 6.89,
427
  "learning_rate": 0.0002,
428
- "loss": 0.0038,
429
  "step": 62
430
  },
431
  {
432
  "epoch": 7.0,
433
  "learning_rate": 0.0002,
434
- "loss": 0.0055,
435
  "step": 63
436
  },
437
  {
438
  "epoch": 7.0,
439
- "eval_loss": 1.5328795909881592,
440
- "eval_runtime": 6.3671,
441
- "eval_samples_per_second": 7.853,
442
- "eval_steps_per_second": 0.314,
443
  "step": 63
444
  },
445
  {
446
  "epoch": 7.11,
447
  "learning_rate": 0.0002,
448
- "loss": 0.0022,
449
  "step": 64
450
  },
451
  {
452
  "epoch": 7.22,
453
  "learning_rate": 0.0002,
454
- "loss": 0.0022,
455
  "step": 65
456
  },
457
  {
458
  "epoch": 7.33,
459
  "learning_rate": 0.0002,
460
- "loss": 0.0089,
461
  "step": 66
462
  },
463
  {
464
  "epoch": 7.44,
465
  "learning_rate": 0.0002,
466
- "loss": 0.0057,
467
  "step": 67
468
  },
469
  {
470
  "epoch": 7.56,
471
  "learning_rate": 0.0002,
472
- "loss": 0.0073,
473
  "step": 68
474
  },
475
  {
476
  "epoch": 7.67,
477
  "learning_rate": 0.0002,
478
- "loss": 0.0038,
479
  "step": 69
480
  },
481
  {
482
  "epoch": 7.78,
483
  "learning_rate": 0.0002,
484
- "loss": 0.0137,
485
  "step": 70
486
  },
487
  {
488
  "epoch": 7.89,
489
  "learning_rate": 0.0002,
490
- "loss": 0.0055,
491
  "step": 71
492
  },
493
  {
494
  "epoch": 8.0,
495
  "learning_rate": 0.0002,
496
- "loss": 0.0022,
497
  "step": 72
498
  },
499
  {
500
  "epoch": 8.0,
501
- "eval_loss": 1.534345269203186,
502
- "eval_runtime": 6.3998,
503
- "eval_samples_per_second": 7.813,
504
- "eval_steps_per_second": 0.313,
505
  "step": 72
506
  },
507
  {
508
  "epoch": 8.11,
509
  "learning_rate": 0.0002,
510
- "loss": 0.0016,
511
  "step": 73
512
  },
513
  {
514
  "epoch": 8.22,
515
  "learning_rate": 0.0002,
516
- "loss": 0.0041,
517
  "step": 74
518
  },
519
  {
520
  "epoch": 8.33,
521
  "learning_rate": 0.0002,
522
- "loss": 0.0069,
523
  "step": 75
524
  },
525
  {
526
  "epoch": 8.44,
527
  "learning_rate": 0.0002,
528
- "loss": 0.0036,
529
  "step": 76
530
  },
531
  {
532
  "epoch": 8.56,
533
  "learning_rate": 0.0002,
534
- "loss": 0.0043,
535
  "step": 77
536
  },
537
  {
538
  "epoch": 8.67,
539
  "learning_rate": 0.0002,
540
- "loss": 0.0019,
541
  "step": 78
542
  },
543
  {
544
  "epoch": 8.78,
545
  "learning_rate": 0.0002,
546
- "loss": 0.0027,
547
  "step": 79
548
  },
549
  {
550
  "epoch": 8.89,
551
  "learning_rate": 0.0002,
552
- "loss": 0.0081,
553
  "step": 80
554
  },
555
  {
556
  "epoch": 9.0,
557
  "learning_rate": 0.0002,
558
- "loss": 0.002,
559
  "step": 81
560
  },
561
  {
562
  "epoch": 9.0,
563
- "eval_loss": 1.5295281410217285,
564
- "eval_runtime": 6.3871,
565
- "eval_samples_per_second": 7.828,
566
- "eval_steps_per_second": 0.313,
567
  "step": 81
568
  },
569
  {
570
  "epoch": 9.11,
571
  "learning_rate": 0.0002,
572
- "loss": 0.003,
573
  "step": 82
574
  },
575
  {
576
  "epoch": 9.22,
577
  "learning_rate": 0.0002,
578
- "loss": 0.0029,
579
  "step": 83
580
  },
581
  {
582
  "epoch": 9.33,
583
  "learning_rate": 0.0002,
584
- "loss": 0.0024,
585
  "step": 84
586
  },
587
  {
588
  "epoch": 9.44,
589
  "learning_rate": 0.0002,
590
- "loss": 0.002,
591
  "step": 85
592
  },
593
  {
594
  "epoch": 9.56,
595
  "learning_rate": 0.0002,
596
- "loss": 0.0028,
597
  "step": 86
598
  },
599
  {
600
  "epoch": 9.67,
601
  "learning_rate": 0.0002,
602
- "loss": 0.0036,
603
  "step": 87
604
  },
605
  {
606
  "epoch": 9.78,
607
  "learning_rate": 0.0002,
608
- "loss": 0.0021,
609
  "step": 88
610
  },
611
  {
612
  "epoch": 9.89,
613
  "learning_rate": 0.0002,
614
- "loss": 0.0033,
615
  "step": 89
616
  },
617
  {
618
  "epoch": 10.0,
619
  "learning_rate": 0.0002,
620
- "loss": 0.0011,
621
  "step": 90
622
  },
623
  {
624
  "epoch": 10.0,
625
- "eval_loss": 1.6014364957809448,
626
- "eval_runtime": 6.3819,
627
- "eval_samples_per_second": 7.835,
628
- "eval_steps_per_second": 0.313,
629
  "step": 90
630
  },
631
  {
632
  "epoch": 10.0,
633
  "step": 90,
634
  "total_flos": 1.6878235281679974e+17,
635
- "train_loss": 0.18350568334701367,
636
- "train_runtime": 641.931,
637
- "train_samples_per_second": 4.409,
638
- "train_steps_per_second": 0.14
639
  }
640
  ],
641
  "logging_steps": 1.0,
 
17
  {
18
  "epoch": 0.22,
19
  "learning_rate": 0.00012618595071429146,
20
+ "loss": 1.3368,
21
  "step": 2
22
  },
23
  {
24
  "epoch": 0.33,
25
  "learning_rate": 0.0002,
26
+ "loss": 1.4472,
27
  "step": 3
28
  },
29
  {
30
  "epoch": 0.44,
31
  "learning_rate": 0.0002,
32
+ "loss": 1.2461,
33
  "step": 4
34
  },
35
  {
36
  "epoch": 0.56,
37
  "learning_rate": 0.0002,
38
+ "loss": 1.1358,
39
  "step": 5
40
  },
41
  {
42
  "epoch": 0.67,
43
  "learning_rate": 0.0002,
44
+ "loss": 1.0415,
45
  "step": 6
46
  },
47
  {
48
  "epoch": 0.78,
49
  "learning_rate": 0.0002,
50
+ "loss": 0.9974,
51
  "step": 7
52
  },
53
  {
54
  "epoch": 0.89,
55
  "learning_rate": 0.0002,
56
+ "loss": 0.8689,
57
  "step": 8
58
  },
59
  {
60
  "epoch": 1.0,
61
  "learning_rate": 0.0002,
62
+ "loss": 0.8996,
63
  "step": 9
64
  },
65
  {
66
  "epoch": 1.0,
67
+ "eval_loss": 1.0149524211883545,
68
+ "eval_runtime": 6.1319,
69
+ "eval_samples_per_second": 8.154,
70
+ "eval_steps_per_second": 0.326,
71
  "step": 9
72
  },
73
  {
74
  "epoch": 1.11,
75
  "learning_rate": 0.0002,
76
+ "loss": 0.6935,
77
  "step": 10
78
  },
79
  {
80
  "epoch": 1.22,
81
  "learning_rate": 0.0002,
82
+ "loss": 0.5113,
83
  "step": 11
84
  },
85
  {
86
  "epoch": 1.33,
87
  "learning_rate": 0.0002,
88
+ "loss": 0.488,
89
  "step": 12
90
  },
91
  {
92
  "epoch": 1.44,
93
  "learning_rate": 0.0002,
94
+ "loss": 0.5482,
95
  "step": 13
96
  },
97
  {
98
  "epoch": 1.56,
99
  "learning_rate": 0.0002,
100
+ "loss": 0.4923,
101
  "step": 14
102
  },
103
  {
104
  "epoch": 1.67,
105
  "learning_rate": 0.0002,
106
+ "loss": 0.4704,
107
  "step": 15
108
  },
109
  {
 
115
  {
116
  "epoch": 1.89,
117
  "learning_rate": 0.0002,
118
+ "loss": 0.2821,
119
  "step": 17
120
  },
121
  {
122
  "epoch": 2.0,
123
  "learning_rate": 0.0002,
124
+ "loss": 0.2338,
125
  "step": 18
126
  },
127
  {
128
  "epoch": 2.0,
129
+ "eval_loss": 1.1113728284835815,
130
+ "eval_runtime": 6.1196,
131
+ "eval_samples_per_second": 8.17,
132
+ "eval_steps_per_second": 0.327,
133
  "step": 18
134
  },
135
  {
136
  "epoch": 2.11,
137
  "learning_rate": 0.0002,
138
+ "loss": 0.171,
139
  "step": 19
140
  },
141
  {
142
  "epoch": 2.22,
143
  "learning_rate": 0.0002,
144
+ "loss": 0.1126,
145
  "step": 20
146
  },
147
  {
148
  "epoch": 2.33,
149
  "learning_rate": 0.0002,
150
+ "loss": 0.1116,
151
  "step": 21
152
  },
153
  {
154
  "epoch": 2.44,
155
  "learning_rate": 0.0002,
156
+ "loss": 0.1327,
157
  "step": 22
158
  },
159
  {
160
  "epoch": 2.56,
161
  "learning_rate": 0.0002,
162
+ "loss": 0.09,
163
  "step": 23
164
  },
165
  {
166
  "epoch": 2.67,
167
  "learning_rate": 0.0002,
168
+ "loss": 0.0599,
169
  "step": 24
170
  },
171
  {
172
  "epoch": 2.78,
173
  "learning_rate": 0.0002,
174
+ "loss": 0.1018,
175
  "step": 25
176
  },
177
  {
178
  "epoch": 2.89,
179
  "learning_rate": 0.0002,
180
+ "loss": 0.0996,
181
  "step": 26
182
  },
183
  {
184
  "epoch": 3.0,
185
  "learning_rate": 0.0002,
186
+ "loss": 0.0743,
187
  "step": 27
188
  },
189
  {
190
  "epoch": 3.0,
191
+ "eval_loss": 1.183627724647522,
192
+ "eval_runtime": 6.1208,
193
+ "eval_samples_per_second": 8.169,
194
+ "eval_steps_per_second": 0.327,
195
  "step": 27
196
  },
197
  {
198
  "epoch": 3.11,
199
  "learning_rate": 0.0002,
200
+ "loss": 0.0415,
201
  "step": 28
202
  },
203
  {
204
  "epoch": 3.22,
205
  "learning_rate": 0.0002,
206
+ "loss": 0.0361,
207
  "step": 29
208
  },
209
  {
210
  "epoch": 3.33,
211
  "learning_rate": 0.0002,
212
+ "loss": 0.0414,
213
  "step": 30
214
  },
215
  {
216
  "epoch": 3.44,
217
  "learning_rate": 0.0002,
218
+ "loss": 0.0251,
219
  "step": 31
220
  },
221
  {
222
  "epoch": 3.56,
223
  "learning_rate": 0.0002,
224
+ "loss": 0.0348,
225
  "step": 32
226
  },
227
  {
228
  "epoch": 3.67,
229
  "learning_rate": 0.0002,
230
+ "loss": 0.0364,
231
  "step": 33
232
  },
233
  {
234
  "epoch": 3.78,
235
  "learning_rate": 0.0002,
236
+ "loss": 0.0334,
237
  "step": 34
238
  },
239
  {
240
  "epoch": 3.89,
241
  "learning_rate": 0.0002,
242
+ "loss": 0.0443,
243
  "step": 35
244
  },
245
  {
246
  "epoch": 4.0,
247
  "learning_rate": 0.0002,
248
+ "loss": 0.0278,
249
  "step": 36
250
  },
251
  {
252
  "epoch": 4.0,
253
+ "eval_loss": 1.4033983945846558,
254
+ "eval_runtime": 6.2763,
255
+ "eval_samples_per_second": 7.966,
256
+ "eval_steps_per_second": 0.319,
257
  "step": 36
258
  },
259
  {
260
  "epoch": 4.11,
261
  "learning_rate": 0.0002,
262
+ "loss": 0.0107,
263
  "step": 37
264
  },
265
  {
266
  "epoch": 4.22,
267
  "learning_rate": 0.0002,
268
+ "loss": 0.0149,
269
  "step": 38
270
  },
271
  {
272
  "epoch": 4.33,
273
  "learning_rate": 0.0002,
274
+ "loss": 0.0131,
275
  "step": 39
276
  },
277
  {
278
  "epoch": 4.44,
279
  "learning_rate": 0.0002,
280
+ "loss": 0.0121,
281
  "step": 40
282
  },
283
  {
284
  "epoch": 4.56,
285
  "learning_rate": 0.0002,
286
+ "loss": 0.0107,
287
  "step": 41
288
  },
289
  {
290
  "epoch": 4.67,
291
  "learning_rate": 0.0002,
292
+ "loss": 0.0186,
293
  "step": 42
294
  },
295
  {
296
  "epoch": 4.78,
297
  "learning_rate": 0.0002,
298
+ "loss": 0.0241,
299
  "step": 43
300
  },
301
  {
302
  "epoch": 4.89,
303
  "learning_rate": 0.0002,
304
+ "loss": 0.0122,
305
  "step": 44
306
  },
307
  {
308
  "epoch": 5.0,
309
  "learning_rate": 0.0002,
310
+ "loss": 0.0122,
311
  "step": 45
312
  },
313
  {
314
  "epoch": 5.0,
315
+ "eval_loss": 1.4663941860198975,
316
+ "eval_runtime": 6.1899,
317
+ "eval_samples_per_second": 8.078,
318
+ "eval_steps_per_second": 0.323,
319
  "step": 45
320
  },
321
  {
322
  "epoch": 5.11,
323
  "learning_rate": 0.0002,
324
+ "loss": 0.0065,
325
  "step": 46
326
  },
327
  {
328
  "epoch": 5.22,
329
  "learning_rate": 0.0002,
330
+ "loss": 0.0114,
331
  "step": 47
332
  },
333
  {
334
  "epoch": 5.33,
335
  "learning_rate": 0.0002,
336
+ "loss": 0.0099,
337
  "step": 48
338
  },
339
  {
340
  "epoch": 5.44,
341
  "learning_rate": 0.0002,
342
+ "loss": 0.0098,
343
  "step": 49
344
  },
345
  {
346
  "epoch": 5.56,
347
  "learning_rate": 0.0002,
348
+ "loss": 0.0099,
349
  "step": 50
350
  },
351
  {
352
  "epoch": 5.67,
353
  "learning_rate": 0.0002,
354
+ "loss": 0.0163,
355
  "step": 51
356
  },
357
  {
358
  "epoch": 5.78,
359
  "learning_rate": 0.0002,
360
+ "loss": 0.0134,
361
  "step": 52
362
  },
363
  {
364
  "epoch": 5.89,
365
  "learning_rate": 0.0002,
366
+ "loss": 0.0075,
367
  "step": 53
368
  },
369
  {
370
  "epoch": 6.0,
371
  "learning_rate": 0.0002,
372
+ "loss": 0.0129,
373
  "step": 54
374
  },
375
  {
376
  "epoch": 6.0,
377
+ "eval_loss": 1.4691095352172852,
378
+ "eval_runtime": 6.2165,
379
+ "eval_samples_per_second": 8.043,
380
+ "eval_steps_per_second": 0.322,
381
  "step": 54
382
  },
383
  {
384
  "epoch": 6.11,
385
  "learning_rate": 0.0002,
386
+ "loss": 0.005,
387
  "step": 55
388
  },
389
  {
390
  "epoch": 6.22,
391
  "learning_rate": 0.0002,
392
+ "loss": 0.0072,
393
  "step": 56
394
  },
395
  {
396
  "epoch": 6.33,
397
  "learning_rate": 0.0002,
398
+ "loss": 0.0103,
399
  "step": 57
400
  },
401
  {
402
  "epoch": 6.44,
403
  "learning_rate": 0.0002,
404
+ "loss": 0.0076,
405
  "step": 58
406
  },
407
  {
408
  "epoch": 6.56,
409
  "learning_rate": 0.0002,
410
+ "loss": 0.0119,
411
  "step": 59
412
  },
413
  {
414
  "epoch": 6.67,
415
  "learning_rate": 0.0002,
416
+ "loss": 0.0065,
417
  "step": 60
418
  },
419
  {
420
  "epoch": 6.78,
421
  "learning_rate": 0.0002,
422
+ "loss": 0.0115,
423
  "step": 61
424
  },
425
  {
426
  "epoch": 6.89,
427
  "learning_rate": 0.0002,
428
+ "loss": 0.0086,
429
  "step": 62
430
  },
431
  {
432
  "epoch": 7.0,
433
  "learning_rate": 0.0002,
434
+ "loss": 0.0062,
435
  "step": 63
436
  },
437
  {
438
  "epoch": 7.0,
439
+ "eval_loss": 1.4760642051696777,
440
+ "eval_runtime": 6.1472,
441
+ "eval_samples_per_second": 8.134,
442
+ "eval_steps_per_second": 0.325,
443
  "step": 63
444
  },
445
  {
446
  "epoch": 7.11,
447
  "learning_rate": 0.0002,
448
+ "loss": 0.0035,
449
  "step": 64
450
  },
451
  {
452
  "epoch": 7.22,
453
  "learning_rate": 0.0002,
454
+ "loss": 0.0025,
455
  "step": 65
456
  },
457
  {
458
  "epoch": 7.33,
459
  "learning_rate": 0.0002,
460
+ "loss": 0.0053,
461
  "step": 66
462
  },
463
  {
464
  "epoch": 7.44,
465
  "learning_rate": 0.0002,
466
+ "loss": 0.0114,
467
  "step": 67
468
  },
469
  {
470
  "epoch": 7.56,
471
  "learning_rate": 0.0002,
472
+ "loss": 0.0067,
473
  "step": 68
474
  },
475
  {
476
  "epoch": 7.67,
477
  "learning_rate": 0.0002,
478
+ "loss": 0.007,
479
  "step": 69
480
  },
481
  {
482
  "epoch": 7.78,
483
  "learning_rate": 0.0002,
484
+ "loss": 0.0096,
485
  "step": 70
486
  },
487
  {
488
  "epoch": 7.89,
489
  "learning_rate": 0.0002,
490
+ "loss": 0.0066,
491
  "step": 71
492
  },
493
  {
494
  "epoch": 8.0,
495
  "learning_rate": 0.0002,
496
+ "loss": 0.0026,
497
  "step": 72
498
  },
499
  {
500
  "epoch": 8.0,
501
+ "eval_loss": 1.4730503559112549,
502
+ "eval_runtime": 6.2469,
503
+ "eval_samples_per_second": 8.004,
504
+ "eval_steps_per_second": 0.32,
505
  "step": 72
506
  },
507
  {
508
  "epoch": 8.11,
509
  "learning_rate": 0.0002,
510
+ "loss": 0.0077,
511
  "step": 73
512
  },
513
  {
514
  "epoch": 8.22,
515
  "learning_rate": 0.0002,
516
+ "loss": 0.0019,
517
  "step": 74
518
  },
519
  {
520
  "epoch": 8.33,
521
  "learning_rate": 0.0002,
522
+ "loss": 0.0033,
523
  "step": 75
524
  },
525
  {
526
  "epoch": 8.44,
527
  "learning_rate": 0.0002,
528
+ "loss": 0.0038,
529
  "step": 76
530
  },
531
  {
532
  "epoch": 8.56,
533
  "learning_rate": 0.0002,
534
+ "loss": 0.0034,
535
  "step": 77
536
  },
537
  {
538
  "epoch": 8.67,
539
  "learning_rate": 0.0002,
540
+ "loss": 0.0021,
541
  "step": 78
542
  },
543
  {
544
  "epoch": 8.78,
545
  "learning_rate": 0.0002,
546
+ "loss": 0.0054,
547
  "step": 79
548
  },
549
  {
550
  "epoch": 8.89,
551
  "learning_rate": 0.0002,
552
+ "loss": 0.0067,
553
  "step": 80
554
  },
555
  {
556
  "epoch": 9.0,
557
  "learning_rate": 0.0002,
558
+ "loss": 0.0018,
559
  "step": 81
560
  },
561
  {
562
  "epoch": 9.0,
563
+ "eval_loss": 1.6150561571121216,
564
+ "eval_runtime": 6.1573,
565
+ "eval_samples_per_second": 8.12,
566
+ "eval_steps_per_second": 0.325,
567
  "step": 81
568
  },
569
  {
570
  "epoch": 9.11,
571
  "learning_rate": 0.0002,
572
+ "loss": 0.0011,
573
  "step": 82
574
  },
575
  {
576
  "epoch": 9.22,
577
  "learning_rate": 0.0002,
578
+ "loss": 0.0018,
579
  "step": 83
580
  },
581
  {
582
  "epoch": 9.33,
583
  "learning_rate": 0.0002,
584
+ "loss": 0.001,
585
  "step": 84
586
  },
587
  {
588
  "epoch": 9.44,
589
  "learning_rate": 0.0002,
590
+ "loss": 0.0029,
591
  "step": 85
592
  },
593
  {
594
  "epoch": 9.56,
595
  "learning_rate": 0.0002,
596
+ "loss": 0.0024,
597
  "step": 86
598
  },
599
  {
600
  "epoch": 9.67,
601
  "learning_rate": 0.0002,
602
+ "loss": 0.0017,
603
  "step": 87
604
  },
605
  {
606
  "epoch": 9.78,
607
  "learning_rate": 0.0002,
608
+ "loss": 0.0009,
609
  "step": 88
610
  },
611
  {
612
  "epoch": 9.89,
613
  "learning_rate": 0.0002,
614
+ "loss": 0.0075,
615
  "step": 89
616
  },
617
  {
618
  "epoch": 10.0,
619
  "learning_rate": 0.0002,
620
+ "loss": 0.0012,
621
  "step": 90
622
  },
623
  {
624
  "epoch": 10.0,
625
+ "eval_loss": 1.6820263862609863,
626
+ "eval_runtime": 6.2532,
627
+ "eval_samples_per_second": 7.996,
628
+ "eval_steps_per_second": 0.32,
629
  "step": 90
630
  },
631
  {
632
  "epoch": 10.0,
633
  "step": 90,
634
  "total_flos": 1.6878235281679974e+17,
635
+ "train_loss": 0.1837897605379112,
636
+ "train_runtime": 624.5113,
637
+ "train_samples_per_second": 4.532,
638
+ "train_steps_per_second": 0.144
639
  }
640
  ],
641
  "logging_steps": 1.0,
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d8ba27cdb68d41d4f248028ec3da3e3cb2d03762a55467bbf3f3c07ea03c0280
3
  size 6776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94d9c4e3c43ca40b0d080c22917683f4e3bcdd739601b7ea1dbeedb9fc115178
3
  size 6776