RobertoSonic commited on
Commit
855a929
·
verified ·
1 Parent(s): 6d13a5f

End of training

Browse files
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.7712
22
- - Accuracy: 0.7727
23
 
24
  ## Model description
25
 
 
18
 
19
  This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.7678
22
+ - Accuracy: 0.8068
23
 
24
  ## Model description
25
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.76190476190476,
3
+ "eval_accuracy": 0.8068181818181818,
4
+ "eval_loss": 0.7677886486053467,
5
+ "eval_runtime": 2.5988,
6
+ "eval_samples_per_second": 33.861,
7
+ "eval_steps_per_second": 1.154,
8
+ "total_flos": 9.011135985411686e+17,
9
+ "train_loss": 0.39907308292388916,
10
+ "train_runtime": 596.2283,
11
+ "train_samples_per_second": 55.6,
12
+ "train_steps_per_second": 0.419
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.76190476190476,
3
+ "eval_accuracy": 0.8068181818181818,
4
+ "eval_loss": 0.7677886486053467,
5
+ "eval_runtime": 2.5988,
6
+ "eval_samples_per_second": 33.861,
7
+ "eval_steps_per_second": 1.154
8
+ }
runs/Feb10_01-45-09_e3629502e642/events.out.tfevents.1739152558.e3629502e642.51423.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2dd1a8d021cdb62878f5e0874270b2f96904a53820df5edabdb526dc4af5e6b3
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.76190476190476,
3
+ "total_flos": 9.011135985411686e+17,
4
+ "train_loss": 0.39907308292388916,
5
+ "train_runtime": 596.2283,
6
+ "train_samples_per_second": 55.6,
7
+ "train_steps_per_second": 0.419
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,560 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8068181818181818,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-humeda-DAV55/checkpoint-102",
4
+ "epoch": 41.76190476190476,
5
+ "eval_steps": 500,
6
+ "global_step": 250,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.06818181818181818,
14
+ "eval_loss": 1.715864658355713,
15
+ "eval_runtime": 1.5297,
16
+ "eval_samples_per_second": 57.528,
17
+ "eval_steps_per_second": 1.961,
18
+ "step": 6
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "grad_norm": 1.5547009706497192,
23
+ "learning_rate": 2.4e-05,
24
+ "loss": 1.4016,
25
+ "step": 12
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "eval_accuracy": 0.125,
30
+ "eval_loss": 1.6803200244903564,
31
+ "eval_runtime": 2.2184,
32
+ "eval_samples_per_second": 39.669,
33
+ "eval_steps_per_second": 1.352,
34
+ "step": 12
35
+ },
36
+ {
37
+ "epoch": 3.0,
38
+ "eval_accuracy": 0.29545454545454547,
39
+ "eval_loss": 1.5241920948028564,
40
+ "eval_runtime": 2.1977,
41
+ "eval_samples_per_second": 40.042,
42
+ "eval_steps_per_second": 1.365,
43
+ "step": 18
44
+ },
45
+ {
46
+ "epoch": 4.0,
47
+ "grad_norm": 2.8719537258148193,
48
+ "learning_rate": 4.8e-05,
49
+ "loss": 1.105,
50
+ "step": 24
51
+ },
52
+ {
53
+ "epoch": 4.0,
54
+ "eval_accuracy": 0.4318181818181818,
55
+ "eval_loss": 1.2325453758239746,
56
+ "eval_runtime": 2.3307,
57
+ "eval_samples_per_second": 37.757,
58
+ "eval_steps_per_second": 1.287,
59
+ "step": 24
60
+ },
61
+ {
62
+ "epoch": 5.0,
63
+ "eval_accuracy": 0.5113636363636364,
64
+ "eval_loss": 1.2531273365020752,
65
+ "eval_runtime": 1.8518,
66
+ "eval_samples_per_second": 47.521,
67
+ "eval_steps_per_second": 1.62,
68
+ "step": 30
69
+ },
70
+ {
71
+ "epoch": 6.0,
72
+ "grad_norm": 5.038722991943359,
73
+ "learning_rate": 4.9705709536163824e-05,
74
+ "loss": 0.8077,
75
+ "step": 36
76
+ },
77
+ {
78
+ "epoch": 6.0,
79
+ "eval_accuracy": 0.5,
80
+ "eval_loss": 1.1025725603103638,
81
+ "eval_runtime": 1.5547,
82
+ "eval_samples_per_second": 56.604,
83
+ "eval_steps_per_second": 1.93,
84
+ "step": 36
85
+ },
86
+ {
87
+ "epoch": 7.0,
88
+ "eval_accuracy": 0.5909090909090909,
89
+ "eval_loss": 0.9851853847503662,
90
+ "eval_runtime": 1.5272,
91
+ "eval_samples_per_second": 57.623,
92
+ "eval_steps_per_second": 1.964,
93
+ "step": 42
94
+ },
95
+ {
96
+ "epoch": 8.0,
97
+ "grad_norm": 3.3146438598632812,
98
+ "learning_rate": 4.8721900291112415e-05,
99
+ "loss": 0.6405,
100
+ "step": 48
101
+ },
102
+ {
103
+ "epoch": 8.0,
104
+ "eval_accuracy": 0.7045454545454546,
105
+ "eval_loss": 0.8992521166801453,
106
+ "eval_runtime": 1.5232,
107
+ "eval_samples_per_second": 57.773,
108
+ "eval_steps_per_second": 1.97,
109
+ "step": 48
110
+ },
111
+ {
112
+ "epoch": 9.0,
113
+ "eval_accuracy": 0.6363636363636364,
114
+ "eval_loss": 0.9155292510986328,
115
+ "eval_runtime": 1.5814,
116
+ "eval_samples_per_second": 55.646,
117
+ "eval_steps_per_second": 1.897,
118
+ "step": 54
119
+ },
120
+ {
121
+ "epoch": 10.0,
122
+ "grad_norm": 4.260365009307861,
123
+ "learning_rate": 4.707368982147318e-05,
124
+ "loss": 0.5807,
125
+ "step": 60
126
+ },
127
+ {
128
+ "epoch": 10.0,
129
+ "eval_accuracy": 0.5568181818181818,
130
+ "eval_loss": 1.044386863708496,
131
+ "eval_runtime": 1.5257,
132
+ "eval_samples_per_second": 57.677,
133
+ "eval_steps_per_second": 1.966,
134
+ "step": 60
135
+ },
136
+ {
137
+ "epoch": 11.0,
138
+ "eval_accuracy": 0.7727272727272727,
139
+ "eval_loss": 0.7695552706718445,
140
+ "eval_runtime": 1.5142,
141
+ "eval_samples_per_second": 58.118,
142
+ "eval_steps_per_second": 1.981,
143
+ "step": 66
144
+ },
145
+ {
146
+ "epoch": 12.0,
147
+ "grad_norm": 8.558947563171387,
148
+ "learning_rate": 4.480724108387977e-05,
149
+ "loss": 0.511,
150
+ "step": 72
151
+ },
152
+ {
153
+ "epoch": 12.0,
154
+ "eval_accuracy": 0.7159090909090909,
155
+ "eval_loss": 0.9045647978782654,
156
+ "eval_runtime": 1.569,
157
+ "eval_samples_per_second": 56.087,
158
+ "eval_steps_per_second": 1.912,
159
+ "step": 72
160
+ },
161
+ {
162
+ "epoch": 13.0,
163
+ "eval_accuracy": 0.7727272727272727,
164
+ "eval_loss": 0.7709473967552185,
165
+ "eval_runtime": 1.5249,
166
+ "eval_samples_per_second": 57.71,
167
+ "eval_steps_per_second": 1.967,
168
+ "step": 78
169
+ },
170
+ {
171
+ "epoch": 14.0,
172
+ "grad_norm": 6.5993757247924805,
173
+ "learning_rate": 4.198603260653792e-05,
174
+ "loss": 0.4578,
175
+ "step": 84
176
+ },
177
+ {
178
+ "epoch": 14.0,
179
+ "eval_accuracy": 0.7272727272727273,
180
+ "eval_loss": 0.8067413568496704,
181
+ "eval_runtime": 2.3833,
182
+ "eval_samples_per_second": 36.923,
183
+ "eval_steps_per_second": 1.259,
184
+ "step": 84
185
+ },
186
+ {
187
+ "epoch": 15.0,
188
+ "eval_accuracy": 0.7613636363636364,
189
+ "eval_loss": 0.8393685817718506,
190
+ "eval_runtime": 2.2836,
191
+ "eval_samples_per_second": 38.536,
192
+ "eval_steps_per_second": 1.314,
193
+ "step": 90
194
+ },
195
+ {
196
+ "epoch": 16.0,
197
+ "grad_norm": 8.13113021850586,
198
+ "learning_rate": 3.868908058731376e-05,
199
+ "loss": 0.357,
200
+ "step": 96
201
+ },
202
+ {
203
+ "epoch": 16.0,
204
+ "eval_accuracy": 0.7727272727272727,
205
+ "eval_loss": 0.7472593188285828,
206
+ "eval_runtime": 2.2018,
207
+ "eval_samples_per_second": 39.967,
208
+ "eval_steps_per_second": 1.363,
209
+ "step": 96
210
+ },
211
+ {
212
+ "epoch": 17.0,
213
+ "eval_accuracy": 0.8068181818181818,
214
+ "eval_loss": 0.7677886486053467,
215
+ "eval_runtime": 2.2228,
216
+ "eval_samples_per_second": 39.591,
217
+ "eval_steps_per_second": 1.35,
218
+ "step": 102
219
+ },
220
+ {
221
+ "epoch": 18.0,
222
+ "grad_norm": 5.903696060180664,
223
+ "learning_rate": 3.5008725813922386e-05,
224
+ "loss": 0.313,
225
+ "step": 108
226
+ },
227
+ {
228
+ "epoch": 18.0,
229
+ "eval_accuracy": 0.7613636363636364,
230
+ "eval_loss": 0.7593179941177368,
231
+ "eval_runtime": 2.1703,
232
+ "eval_samples_per_second": 40.547,
233
+ "eval_steps_per_second": 1.382,
234
+ "step": 108
235
+ },
236
+ {
237
+ "epoch": 19.0,
238
+ "eval_accuracy": 0.7840909090909091,
239
+ "eval_loss": 0.759705126285553,
240
+ "eval_runtime": 2.1997,
241
+ "eval_samples_per_second": 40.006,
242
+ "eval_steps_per_second": 1.364,
243
+ "step": 114
244
+ },
245
+ {
246
+ "epoch": 20.0,
247
+ "grad_norm": 2.582517147064209,
248
+ "learning_rate": 3.104804738999169e-05,
249
+ "loss": 0.2741,
250
+ "step": 120
251
+ },
252
+ {
253
+ "epoch": 20.0,
254
+ "eval_accuracy": 0.75,
255
+ "eval_loss": 0.7861429452896118,
256
+ "eval_runtime": 2.2726,
257
+ "eval_samples_per_second": 38.723,
258
+ "eval_steps_per_second": 1.32,
259
+ "step": 120
260
+ },
261
+ {
262
+ "epoch": 21.0,
263
+ "eval_accuracy": 0.7386363636363636,
264
+ "eval_loss": 0.7381357550621033,
265
+ "eval_runtime": 2.2359,
266
+ "eval_samples_per_second": 39.358,
267
+ "eval_steps_per_second": 1.342,
268
+ "step": 126
269
+ },
270
+ {
271
+ "epoch": 22.0,
272
+ "grad_norm": 4.310458660125732,
273
+ "learning_rate": 2.6917975703170466e-05,
274
+ "loss": 0.2508,
275
+ "step": 132
276
+ },
277
+ {
278
+ "epoch": 22.0,
279
+ "eval_accuracy": 0.7954545454545454,
280
+ "eval_loss": 0.7421664595603943,
281
+ "eval_runtime": 2.1769,
282
+ "eval_samples_per_second": 40.424,
283
+ "eval_steps_per_second": 1.378,
284
+ "step": 132
285
+ },
286
+ {
287
+ "epoch": 23.0,
288
+ "eval_accuracy": 0.75,
289
+ "eval_loss": 0.7751468420028687,
290
+ "eval_runtime": 2.2291,
291
+ "eval_samples_per_second": 39.478,
292
+ "eval_steps_per_second": 1.346,
293
+ "step": 138
294
+ },
295
+ {
296
+ "epoch": 24.0,
297
+ "grad_norm": 2.611931562423706,
298
+ "learning_rate": 2.2734185495055503e-05,
299
+ "loss": 0.1992,
300
+ "step": 144
301
+ },
302
+ {
303
+ "epoch": 24.0,
304
+ "eval_accuracy": 0.7386363636363636,
305
+ "eval_loss": 0.7757924795150757,
306
+ "eval_runtime": 2.2227,
307
+ "eval_samples_per_second": 39.592,
308
+ "eval_steps_per_second": 1.35,
309
+ "step": 144
310
+ },
311
+ {
312
+ "epoch": 25.0,
313
+ "eval_accuracy": 0.7840909090909091,
314
+ "eval_loss": 0.7272288799285889,
315
+ "eval_runtime": 2.1971,
316
+ "eval_samples_per_second": 40.052,
317
+ "eval_steps_per_second": 1.365,
318
+ "step": 150
319
+ },
320
+ {
321
+ "epoch": 26.0,
322
+ "grad_norm": 1.5732656717300415,
323
+ "learning_rate": 1.8613856051605243e-05,
324
+ "loss": 0.1897,
325
+ "step": 156
326
+ },
327
+ {
328
+ "epoch": 26.0,
329
+ "eval_accuracy": 0.7840909090909091,
330
+ "eval_loss": 0.7842504978179932,
331
+ "eval_runtime": 2.1412,
332
+ "eval_samples_per_second": 41.099,
333
+ "eval_steps_per_second": 1.401,
334
+ "step": 156
335
+ },
336
+ {
337
+ "epoch": 27.0,
338
+ "eval_accuracy": 0.7727272727272727,
339
+ "eval_loss": 0.7606151700019836,
340
+ "eval_runtime": 2.0615,
341
+ "eval_samples_per_second": 42.687,
342
+ "eval_steps_per_second": 1.455,
343
+ "step": 162
344
+ },
345
+ {
346
+ "epoch": 28.0,
347
+ "grad_norm": 3.5426816940307617,
348
+ "learning_rate": 1.467238925438646e-05,
349
+ "loss": 0.2024,
350
+ "step": 168
351
+ },
352
+ {
353
+ "epoch": 28.0,
354
+ "eval_accuracy": 0.7954545454545454,
355
+ "eval_loss": 0.7455670833587646,
356
+ "eval_runtime": 1.8782,
357
+ "eval_samples_per_second": 46.853,
358
+ "eval_steps_per_second": 1.597,
359
+ "step": 168
360
+ },
361
+ {
362
+ "epoch": 29.0,
363
+ "eval_accuracy": 0.7954545454545454,
364
+ "eval_loss": 0.7653156518936157,
365
+ "eval_runtime": 1.985,
366
+ "eval_samples_per_second": 44.333,
367
+ "eval_steps_per_second": 1.511,
368
+ "step": 174
369
+ },
370
+ {
371
+ "epoch": 30.0,
372
+ "grad_norm": 3.386720895767212,
373
+ "learning_rate": 1.1020177413231334e-05,
374
+ "loss": 0.172,
375
+ "step": 180
376
+ },
377
+ {
378
+ "epoch": 30.0,
379
+ "eval_accuracy": 0.7727272727272727,
380
+ "eval_loss": 0.7677273154258728,
381
+ "eval_runtime": 2.0548,
382
+ "eval_samples_per_second": 42.826,
383
+ "eval_steps_per_second": 1.46,
384
+ "step": 180
385
+ },
386
+ {
387
+ "epoch": 31.0,
388
+ "eval_accuracy": 0.7613636363636364,
389
+ "eval_loss": 0.7420690059661865,
390
+ "eval_runtime": 2.0796,
391
+ "eval_samples_per_second": 42.315,
392
+ "eval_steps_per_second": 1.443,
393
+ "step": 186
394
+ },
395
+ {
396
+ "epoch": 32.0,
397
+ "grad_norm": 0.8537516593933105,
398
+ "learning_rate": 7.759511406608255e-06,
399
+ "loss": 0.1561,
400
+ "step": 192
401
+ },
402
+ {
403
+ "epoch": 32.0,
404
+ "eval_accuracy": 0.7613636363636364,
405
+ "eval_loss": 0.7326412796974182,
406
+ "eval_runtime": 2.0655,
407
+ "eval_samples_per_second": 42.605,
408
+ "eval_steps_per_second": 1.452,
409
+ "step": 192
410
+ },
411
+ {
412
+ "epoch": 33.0,
413
+ "eval_accuracy": 0.7613636363636364,
414
+ "eval_loss": 0.7541264891624451,
415
+ "eval_runtime": 1.9193,
416
+ "eval_samples_per_second": 45.851,
417
+ "eval_steps_per_second": 1.563,
418
+ "step": 198
419
+ },
420
+ {
421
+ "epoch": 34.0,
422
+ "grad_norm": 3.0382492542266846,
423
+ "learning_rate": 4.981715726281666e-06,
424
+ "loss": 0.1472,
425
+ "step": 204
426
+ },
427
+ {
428
+ "epoch": 34.0,
429
+ "eval_accuracy": 0.7727272727272727,
430
+ "eval_loss": 0.7634887099266052,
431
+ "eval_runtime": 2.3886,
432
+ "eval_samples_per_second": 36.842,
433
+ "eval_steps_per_second": 1.256,
434
+ "step": 204
435
+ },
436
+ {
437
+ "epoch": 35.0,
438
+ "eval_accuracy": 0.7727272727272727,
439
+ "eval_loss": 0.7503542304039001,
440
+ "eval_runtime": 1.5141,
441
+ "eval_samples_per_second": 58.122,
442
+ "eval_steps_per_second": 1.981,
443
+ "step": 210
444
+ },
445
+ {
446
+ "epoch": 36.0,
447
+ "grad_norm": 0.8586391806602478,
448
+ "learning_rate": 2.764590667717562e-06,
449
+ "loss": 0.1402,
450
+ "step": 216
451
+ },
452
+ {
453
+ "epoch": 36.0,
454
+ "eval_accuracy": 0.7727272727272727,
455
+ "eval_loss": 0.7600700855255127,
456
+ "eval_runtime": 1.4959,
457
+ "eval_samples_per_second": 58.826,
458
+ "eval_steps_per_second": 2.005,
459
+ "step": 216
460
+ },
461
+ {
462
+ "epoch": 37.0,
463
+ "eval_accuracy": 0.7840909090909091,
464
+ "eval_loss": 0.7682745456695557,
465
+ "eval_runtime": 1.5095,
466
+ "eval_samples_per_second": 58.296,
467
+ "eval_steps_per_second": 1.987,
468
+ "step": 222
469
+ },
470
+ {
471
+ "epoch": 38.0,
472
+ "grad_norm": 0.7802270650863647,
473
+ "learning_rate": 1.170233305176327e-06,
474
+ "loss": 0.1414,
475
+ "step": 228
476
+ },
477
+ {
478
+ "epoch": 38.0,
479
+ "eval_accuracy": 0.7840909090909091,
480
+ "eval_loss": 0.7706876993179321,
481
+ "eval_runtime": 1.5074,
482
+ "eval_samples_per_second": 58.378,
483
+ "eval_steps_per_second": 1.99,
484
+ "step": 228
485
+ },
486
+ {
487
+ "epoch": 39.0,
488
+ "eval_accuracy": 0.7727272727272727,
489
+ "eval_loss": 0.7727323174476624,
490
+ "eval_runtime": 1.5866,
491
+ "eval_samples_per_second": 55.463,
492
+ "eval_steps_per_second": 1.891,
493
+ "step": 234
494
+ },
495
+ {
496
+ "epoch": 40.0,
497
+ "grad_norm": 2.9806997776031494,
498
+ "learning_rate": 2.4329828146074095e-07,
499
+ "loss": 0.1344,
500
+ "step": 240
501
+ },
502
+ {
503
+ "epoch": 40.0,
504
+ "eval_accuracy": 0.7727272727272727,
505
+ "eval_loss": 0.7721273303031921,
506
+ "eval_runtime": 1.5038,
507
+ "eval_samples_per_second": 58.517,
508
+ "eval_steps_per_second": 1.995,
509
+ "step": 240
510
+ },
511
+ {
512
+ "epoch": 41.0,
513
+ "eval_accuracy": 0.7727272727272727,
514
+ "eval_loss": 0.7714928984642029,
515
+ "eval_runtime": 1.5205,
516
+ "eval_samples_per_second": 57.876,
517
+ "eval_steps_per_second": 1.973,
518
+ "step": 246
519
+ },
520
+ {
521
+ "epoch": 41.76190476190476,
522
+ "eval_accuracy": 0.7727272727272727,
523
+ "eval_loss": 0.771232008934021,
524
+ "eval_runtime": 1.8203,
525
+ "eval_samples_per_second": 48.344,
526
+ "eval_steps_per_second": 1.648,
527
+ "step": 250
528
+ },
529
+ {
530
+ "epoch": 41.76190476190476,
531
+ "step": 250,
532
+ "total_flos": 9.011135985411686e+17,
533
+ "train_loss": 0.39907308292388916,
534
+ "train_runtime": 596.2283,
535
+ "train_samples_per_second": 55.6,
536
+ "train_steps_per_second": 0.419
537
+ }
538
+ ],
539
+ "logging_steps": 12,
540
+ "max_steps": 250,
541
+ "num_input_tokens_seen": 0,
542
+ "num_train_epochs": 50,
543
+ "save_steps": 500,
544
+ "stateful_callbacks": {
545
+ "TrainerControl": {
546
+ "args": {
547
+ "should_epoch_stop": false,
548
+ "should_evaluate": false,
549
+ "should_log": false,
550
+ "should_save": true,
551
+ "should_training_stop": true
552
+ },
553
+ "attributes": {}
554
+ }
555
+ },
556
+ "total_flos": 9.011135985411686e+17,
557
+ "train_batch_size": 32,
558
+ "trial_name": null,
559
+ "trial_params": null
560
+ }