BilalMuftuoglu commited on
Commit
86d8a61
1 Parent(s): dffa182

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.5277777777777778
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.0858
36
- - Accuracy: 0.5278
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.6944444444444444
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.9277
36
+ - Accuracy: 0.6944
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 57.142857142857146,
3
+ "eval_accuracy": 0.6944444444444444,
4
+ "eval_loss": 0.9276576638221741,
5
+ "eval_runtime": 0.5568,
6
+ "eval_samples_per_second": 64.661,
7
+ "eval_steps_per_second": 3.592,
8
+ "total_flos": 8.770779002957046e+17,
9
+ "train_loss": 0.5723180460929871,
10
+ "train_runtime": 553.2491,
11
+ "train_samples_per_second": 35.789,
12
+ "train_steps_per_second": 0.181
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 57.142857142857146,
3
+ "eval_accuracy": 0.6944444444444444,
4
+ "eval_loss": 0.9276576638221741,
5
+ "eval_runtime": 0.5568,
6
+ "eval_samples_per_second": 64.661,
7
+ "eval_steps_per_second": 3.592
8
+ }
runs/May22_13-33-41_927069b479b5/events.out.tfevents.1716385396.927069b479b5.252.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9963146724f184f0c8de6bd2ebf443274142af7840a61a4f103cb10413458476
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 57.142857142857146,
3
+ "total_flos": 8.770779002957046e+17,
4
+ "train_loss": 0.5723180460929871,
5
+ "train_runtime": 553.2491,
6
+ "train_samples_per_second": 35.789,
7
+ "train_steps_per_second": 0.181
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,643 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6944444444444444,
3
+ "best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-55-fold1/checkpoint-26",
4
+ "epoch": 57.142857142857146,
5
+ "eval_steps": 500,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5714285714285714,
13
+ "eval_accuracy": 0.4444444444444444,
14
+ "eval_loss": 1.1037373542785645,
15
+ "eval_runtime": 0.4817,
16
+ "eval_samples_per_second": 74.733,
17
+ "eval_steps_per_second": 4.152,
18
+ "step": 1
19
+ },
20
+ {
21
+ "epoch": 1.7142857142857144,
22
+ "eval_accuracy": 0.3888888888888889,
23
+ "eval_loss": 1.0649282932281494,
24
+ "eval_runtime": 0.4961,
25
+ "eval_samples_per_second": 72.566,
26
+ "eval_steps_per_second": 4.031,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 2.857142857142857,
31
+ "eval_accuracy": 0.4166666666666667,
32
+ "eval_loss": 1.072746753692627,
33
+ "eval_runtime": 0.4913,
34
+ "eval_samples_per_second": 73.282,
35
+ "eval_steps_per_second": 4.071,
36
+ "step": 5
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 0.5,
41
+ "eval_loss": 1.0622544288635254,
42
+ "eval_runtime": 0.5294,
43
+ "eval_samples_per_second": 68.005,
44
+ "eval_steps_per_second": 3.778,
45
+ "step": 7
46
+ },
47
+ {
48
+ "epoch": 4.571428571428571,
49
+ "eval_accuracy": 0.4722222222222222,
50
+ "eval_loss": 1.0530375242233276,
51
+ "eval_runtime": 0.5115,
52
+ "eval_samples_per_second": 70.381,
53
+ "eval_steps_per_second": 3.91,
54
+ "step": 8
55
+ },
56
+ {
57
+ "epoch": 5.714285714285714,
58
+ "grad_norm": 2.886908769607544,
59
+ "learning_rate": 5e-05,
60
+ "loss": 1.065,
61
+ "step": 10
62
+ },
63
+ {
64
+ "epoch": 5.714285714285714,
65
+ "eval_accuracy": 0.5277777777777778,
66
+ "eval_loss": 1.0509940385818481,
67
+ "eval_runtime": 0.5018,
68
+ "eval_samples_per_second": 71.743,
69
+ "eval_steps_per_second": 3.986,
70
+ "step": 10
71
+ },
72
+ {
73
+ "epoch": 6.857142857142857,
74
+ "eval_accuracy": 0.6111111111111112,
75
+ "eval_loss": 1.0744811296463013,
76
+ "eval_runtime": 0.4917,
77
+ "eval_samples_per_second": 73.209,
78
+ "eval_steps_per_second": 4.067,
79
+ "step": 12
80
+ },
81
+ {
82
+ "epoch": 8.0,
83
+ "eval_accuracy": 0.5,
84
+ "eval_loss": 1.05109441280365,
85
+ "eval_runtime": 0.508,
86
+ "eval_samples_per_second": 70.869,
87
+ "eval_steps_per_second": 3.937,
88
+ "step": 14
89
+ },
90
+ {
91
+ "epoch": 8.571428571428571,
92
+ "eval_accuracy": 0.5555555555555556,
93
+ "eval_loss": 1.0157655477523804,
94
+ "eval_runtime": 0.495,
95
+ "eval_samples_per_second": 72.732,
96
+ "eval_steps_per_second": 4.041,
97
+ "step": 15
98
+ },
99
+ {
100
+ "epoch": 9.714285714285714,
101
+ "eval_accuracy": 0.6388888888888888,
102
+ "eval_loss": 0.9998018741607666,
103
+ "eval_runtime": 0.4874,
104
+ "eval_samples_per_second": 73.856,
105
+ "eval_steps_per_second": 4.103,
106
+ "step": 17
107
+ },
108
+ {
109
+ "epoch": 10.857142857142858,
110
+ "eval_accuracy": 0.5555555555555556,
111
+ "eval_loss": 1.0471947193145752,
112
+ "eval_runtime": 0.4963,
113
+ "eval_samples_per_second": 72.536,
114
+ "eval_steps_per_second": 4.03,
115
+ "step": 19
116
+ },
117
+ {
118
+ "epoch": 11.428571428571429,
119
+ "grad_norm": 4.345711708068848,
120
+ "learning_rate": 4.4444444444444447e-05,
121
+ "loss": 0.9239,
122
+ "step": 20
123
+ },
124
+ {
125
+ "epoch": 12.0,
126
+ "eval_accuracy": 0.5833333333333334,
127
+ "eval_loss": 0.9674879908561707,
128
+ "eval_runtime": 0.4968,
129
+ "eval_samples_per_second": 72.459,
130
+ "eval_steps_per_second": 4.025,
131
+ "step": 21
132
+ },
133
+ {
134
+ "epoch": 12.571428571428571,
135
+ "eval_accuracy": 0.5277777777777778,
136
+ "eval_loss": 0.9731967449188232,
137
+ "eval_runtime": 0.5023,
138
+ "eval_samples_per_second": 71.675,
139
+ "eval_steps_per_second": 3.982,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 13.714285714285714,
144
+ "eval_accuracy": 0.5,
145
+ "eval_loss": 0.9489168524742126,
146
+ "eval_runtime": 0.4888,
147
+ "eval_samples_per_second": 73.643,
148
+ "eval_steps_per_second": 4.091,
149
+ "step": 24
150
+ },
151
+ {
152
+ "epoch": 14.857142857142858,
153
+ "eval_accuracy": 0.6944444444444444,
154
+ "eval_loss": 0.9276576638221741,
155
+ "eval_runtime": 0.4932,
156
+ "eval_samples_per_second": 72.996,
157
+ "eval_steps_per_second": 4.055,
158
+ "step": 26
159
+ },
160
+ {
161
+ "epoch": 16.0,
162
+ "eval_accuracy": 0.5833333333333334,
163
+ "eval_loss": 0.9243949055671692,
164
+ "eval_runtime": 0.4933,
165
+ "eval_samples_per_second": 72.984,
166
+ "eval_steps_per_second": 4.055,
167
+ "step": 28
168
+ },
169
+ {
170
+ "epoch": 16.571428571428573,
171
+ "eval_accuracy": 0.5833333333333334,
172
+ "eval_loss": 0.964252769947052,
173
+ "eval_runtime": 0.4952,
174
+ "eval_samples_per_second": 72.703,
175
+ "eval_steps_per_second": 4.039,
176
+ "step": 29
177
+ },
178
+ {
179
+ "epoch": 17.142857142857142,
180
+ "grad_norm": 3.782306432723999,
181
+ "learning_rate": 3.888888888888889e-05,
182
+ "loss": 0.7838,
183
+ "step": 30
184
+ },
185
+ {
186
+ "epoch": 17.714285714285715,
187
+ "eval_accuracy": 0.5277777777777778,
188
+ "eval_loss": 0.9721066951751709,
189
+ "eval_runtime": 0.5046,
190
+ "eval_samples_per_second": 71.35,
191
+ "eval_steps_per_second": 3.964,
192
+ "step": 31
193
+ },
194
+ {
195
+ "epoch": 18.857142857142858,
196
+ "eval_accuracy": 0.6111111111111112,
197
+ "eval_loss": 0.9432339072227478,
198
+ "eval_runtime": 0.502,
199
+ "eval_samples_per_second": 71.712,
200
+ "eval_steps_per_second": 3.984,
201
+ "step": 33
202
+ },
203
+ {
204
+ "epoch": 20.0,
205
+ "eval_accuracy": 0.6388888888888888,
206
+ "eval_loss": 0.9336562752723694,
207
+ "eval_runtime": 0.4955,
208
+ "eval_samples_per_second": 72.651,
209
+ "eval_steps_per_second": 4.036,
210
+ "step": 35
211
+ },
212
+ {
213
+ "epoch": 20.571428571428573,
214
+ "eval_accuracy": 0.5555555555555556,
215
+ "eval_loss": 0.9368643164634705,
216
+ "eval_runtime": 0.4873,
217
+ "eval_samples_per_second": 73.884,
218
+ "eval_steps_per_second": 4.105,
219
+ "step": 36
220
+ },
221
+ {
222
+ "epoch": 21.714285714285715,
223
+ "eval_accuracy": 0.6111111111111112,
224
+ "eval_loss": 0.9481333494186401,
225
+ "eval_runtime": 0.4924,
226
+ "eval_samples_per_second": 73.112,
227
+ "eval_steps_per_second": 4.062,
228
+ "step": 38
229
+ },
230
+ {
231
+ "epoch": 22.857142857142858,
232
+ "grad_norm": 5.4750075340271,
233
+ "learning_rate": 3.3333333333333335e-05,
234
+ "loss": 0.6124,
235
+ "step": 40
236
+ },
237
+ {
238
+ "epoch": 22.857142857142858,
239
+ "eval_accuracy": 0.6111111111111112,
240
+ "eval_loss": 0.9642544984817505,
241
+ "eval_runtime": 0.4904,
242
+ "eval_samples_per_second": 73.406,
243
+ "eval_steps_per_second": 4.078,
244
+ "step": 40
245
+ },
246
+ {
247
+ "epoch": 24.0,
248
+ "eval_accuracy": 0.6111111111111112,
249
+ "eval_loss": 0.9299950003623962,
250
+ "eval_runtime": 0.5066,
251
+ "eval_samples_per_second": 71.062,
252
+ "eval_steps_per_second": 3.948,
253
+ "step": 42
254
+ },
255
+ {
256
+ "epoch": 24.571428571428573,
257
+ "eval_accuracy": 0.6388888888888888,
258
+ "eval_loss": 0.9628922343254089,
259
+ "eval_runtime": 0.4946,
260
+ "eval_samples_per_second": 72.788,
261
+ "eval_steps_per_second": 4.044,
262
+ "step": 43
263
+ },
264
+ {
265
+ "epoch": 25.714285714285715,
266
+ "eval_accuracy": 0.5555555555555556,
267
+ "eval_loss": 0.9200094938278198,
268
+ "eval_runtime": 0.5146,
269
+ "eval_samples_per_second": 69.962,
270
+ "eval_steps_per_second": 3.887,
271
+ "step": 45
272
+ },
273
+ {
274
+ "epoch": 26.857142857142858,
275
+ "eval_accuracy": 0.5,
276
+ "eval_loss": 1.0088926553726196,
277
+ "eval_runtime": 0.4921,
278
+ "eval_samples_per_second": 73.154,
279
+ "eval_steps_per_second": 4.064,
280
+ "step": 47
281
+ },
282
+ {
283
+ "epoch": 28.0,
284
+ "eval_accuracy": 0.5833333333333334,
285
+ "eval_loss": 0.9979636073112488,
286
+ "eval_runtime": 0.4918,
287
+ "eval_samples_per_second": 73.206,
288
+ "eval_steps_per_second": 4.067,
289
+ "step": 49
290
+ },
291
+ {
292
+ "epoch": 28.571428571428573,
293
+ "grad_norm": 5.6271796226501465,
294
+ "learning_rate": 2.777777777777778e-05,
295
+ "loss": 0.5068,
296
+ "step": 50
297
+ },
298
+ {
299
+ "epoch": 28.571428571428573,
300
+ "eval_accuracy": 0.5555555555555556,
301
+ "eval_loss": 0.9875730872154236,
302
+ "eval_runtime": 0.4927,
303
+ "eval_samples_per_second": 73.068,
304
+ "eval_steps_per_second": 4.059,
305
+ "step": 50
306
+ },
307
+ {
308
+ "epoch": 29.714285714285715,
309
+ "eval_accuracy": 0.5,
310
+ "eval_loss": 1.0463812351226807,
311
+ "eval_runtime": 0.4966,
312
+ "eval_samples_per_second": 72.495,
313
+ "eval_steps_per_second": 4.027,
314
+ "step": 52
315
+ },
316
+ {
317
+ "epoch": 30.857142857142858,
318
+ "eval_accuracy": 0.5555555555555556,
319
+ "eval_loss": 1.0311660766601562,
320
+ "eval_runtime": 0.4913,
321
+ "eval_samples_per_second": 73.277,
322
+ "eval_steps_per_second": 4.071,
323
+ "step": 54
324
+ },
325
+ {
326
+ "epoch": 32.0,
327
+ "eval_accuracy": 0.5277777777777778,
328
+ "eval_loss": 1.0946307182312012,
329
+ "eval_runtime": 0.495,
330
+ "eval_samples_per_second": 72.731,
331
+ "eval_steps_per_second": 4.041,
332
+ "step": 56
333
+ },
334
+ {
335
+ "epoch": 32.57142857142857,
336
+ "eval_accuracy": 0.5,
337
+ "eval_loss": 1.1676592826843262,
338
+ "eval_runtime": 0.5005,
339
+ "eval_samples_per_second": 71.929,
340
+ "eval_steps_per_second": 3.996,
341
+ "step": 57
342
+ },
343
+ {
344
+ "epoch": 33.714285714285715,
345
+ "eval_accuracy": 0.4722222222222222,
346
+ "eval_loss": 1.1615511178970337,
347
+ "eval_runtime": 0.4916,
348
+ "eval_samples_per_second": 73.227,
349
+ "eval_steps_per_second": 4.068,
350
+ "step": 59
351
+ },
352
+ {
353
+ "epoch": 34.285714285714285,
354
+ "grad_norm": 6.785258769989014,
355
+ "learning_rate": 2.2222222222222223e-05,
356
+ "loss": 0.4375,
357
+ "step": 60
358
+ },
359
+ {
360
+ "epoch": 34.857142857142854,
361
+ "eval_accuracy": 0.5555555555555556,
362
+ "eval_loss": 1.0658056735992432,
363
+ "eval_runtime": 0.5148,
364
+ "eval_samples_per_second": 69.929,
365
+ "eval_steps_per_second": 3.885,
366
+ "step": 61
367
+ },
368
+ {
369
+ "epoch": 36.0,
370
+ "eval_accuracy": 0.6111111111111112,
371
+ "eval_loss": 1.092119574546814,
372
+ "eval_runtime": 0.4917,
373
+ "eval_samples_per_second": 73.216,
374
+ "eval_steps_per_second": 4.068,
375
+ "step": 63
376
+ },
377
+ {
378
+ "epoch": 36.57142857142857,
379
+ "eval_accuracy": 0.6388888888888888,
380
+ "eval_loss": 1.0800608396530151,
381
+ "eval_runtime": 0.4952,
382
+ "eval_samples_per_second": 72.699,
383
+ "eval_steps_per_second": 4.039,
384
+ "step": 64
385
+ },
386
+ {
387
+ "epoch": 37.714285714285715,
388
+ "eval_accuracy": 0.5555555555555556,
389
+ "eval_loss": 1.0586397647857666,
390
+ "eval_runtime": 0.4991,
391
+ "eval_samples_per_second": 72.134,
392
+ "eval_steps_per_second": 4.007,
393
+ "step": 66
394
+ },
395
+ {
396
+ "epoch": 38.857142857142854,
397
+ "eval_accuracy": 0.5,
398
+ "eval_loss": 1.215223789215088,
399
+ "eval_runtime": 0.5061,
400
+ "eval_samples_per_second": 71.136,
401
+ "eval_steps_per_second": 3.952,
402
+ "step": 68
403
+ },
404
+ {
405
+ "epoch": 40.0,
406
+ "grad_norm": 5.2041168212890625,
407
+ "learning_rate": 1.6666666666666667e-05,
408
+ "loss": 0.3932,
409
+ "step": 70
410
+ },
411
+ {
412
+ "epoch": 40.0,
413
+ "eval_accuracy": 0.5,
414
+ "eval_loss": 1.154255747795105,
415
+ "eval_runtime": 0.5115,
416
+ "eval_samples_per_second": 70.382,
417
+ "eval_steps_per_second": 3.91,
418
+ "step": 70
419
+ },
420
+ {
421
+ "epoch": 40.57142857142857,
422
+ "eval_accuracy": 0.5555555555555556,
423
+ "eval_loss": 1.0654683113098145,
424
+ "eval_runtime": 0.5011,
425
+ "eval_samples_per_second": 71.848,
426
+ "eval_steps_per_second": 3.992,
427
+ "step": 71
428
+ },
429
+ {
430
+ "epoch": 41.714285714285715,
431
+ "eval_accuracy": 0.5555555555555556,
432
+ "eval_loss": 0.99521803855896,
433
+ "eval_runtime": 0.4942,
434
+ "eval_samples_per_second": 72.839,
435
+ "eval_steps_per_second": 4.047,
436
+ "step": 73
437
+ },
438
+ {
439
+ "epoch": 42.857142857142854,
440
+ "eval_accuracy": 0.5277777777777778,
441
+ "eval_loss": 0.9986051917076111,
442
+ "eval_runtime": 0.5007,
443
+ "eval_samples_per_second": 71.905,
444
+ "eval_steps_per_second": 3.995,
445
+ "step": 75
446
+ },
447
+ {
448
+ "epoch": 44.0,
449
+ "eval_accuracy": 0.5555555555555556,
450
+ "eval_loss": 1.0175378322601318,
451
+ "eval_runtime": 0.4946,
452
+ "eval_samples_per_second": 72.79,
453
+ "eval_steps_per_second": 4.044,
454
+ "step": 77
455
+ },
456
+ {
457
+ "epoch": 44.57142857142857,
458
+ "eval_accuracy": 0.5555555555555556,
459
+ "eval_loss": 1.0233629941940308,
460
+ "eval_runtime": 0.5225,
461
+ "eval_samples_per_second": 68.901,
462
+ "eval_steps_per_second": 3.828,
463
+ "step": 78
464
+ },
465
+ {
466
+ "epoch": 45.714285714285715,
467
+ "grad_norm": 3.7592148780822754,
468
+ "learning_rate": 1.1111111111111112e-05,
469
+ "loss": 0.3539,
470
+ "step": 80
471
+ },
472
+ {
473
+ "epoch": 45.714285714285715,
474
+ "eval_accuracy": 0.5555555555555556,
475
+ "eval_loss": 1.0385427474975586,
476
+ "eval_runtime": 0.4956,
477
+ "eval_samples_per_second": 72.634,
478
+ "eval_steps_per_second": 4.035,
479
+ "step": 80
480
+ },
481
+ {
482
+ "epoch": 46.857142857142854,
483
+ "eval_accuracy": 0.5277777777777778,
484
+ "eval_loss": 1.0191251039505005,
485
+ "eval_runtime": 0.5016,
486
+ "eval_samples_per_second": 71.772,
487
+ "eval_steps_per_second": 3.987,
488
+ "step": 82
489
+ },
490
+ {
491
+ "epoch": 48.0,
492
+ "eval_accuracy": 0.5555555555555556,
493
+ "eval_loss": 1.0150564908981323,
494
+ "eval_runtime": 0.4942,
495
+ "eval_samples_per_second": 72.845,
496
+ "eval_steps_per_second": 4.047,
497
+ "step": 84
498
+ },
499
+ {
500
+ "epoch": 48.57142857142857,
501
+ "eval_accuracy": 0.5555555555555556,
502
+ "eval_loss": 1.0203356742858887,
503
+ "eval_runtime": 0.4974,
504
+ "eval_samples_per_second": 72.378,
505
+ "eval_steps_per_second": 4.021,
506
+ "step": 85
507
+ },
508
+ {
509
+ "epoch": 49.714285714285715,
510
+ "eval_accuracy": 0.5555555555555556,
511
+ "eval_loss": 1.034138560295105,
512
+ "eval_runtime": 0.5058,
513
+ "eval_samples_per_second": 71.177,
514
+ "eval_steps_per_second": 3.954,
515
+ "step": 87
516
+ },
517
+ {
518
+ "epoch": 50.857142857142854,
519
+ "eval_accuracy": 0.5555555555555556,
520
+ "eval_loss": 1.0719671249389648,
521
+ "eval_runtime": 0.498,
522
+ "eval_samples_per_second": 72.294,
523
+ "eval_steps_per_second": 4.016,
524
+ "step": 89
525
+ },
526
+ {
527
+ "epoch": 51.42857142857143,
528
+ "grad_norm": 5.022873401641846,
529
+ "learning_rate": 5.555555555555556e-06,
530
+ "loss": 0.3257,
531
+ "step": 90
532
+ },
533
+ {
534
+ "epoch": 52.0,
535
+ "eval_accuracy": 0.5555555555555556,
536
+ "eval_loss": 1.0951011180877686,
537
+ "eval_runtime": 0.4928,
538
+ "eval_samples_per_second": 73.058,
539
+ "eval_steps_per_second": 4.059,
540
+ "step": 91
541
+ },
542
+ {
543
+ "epoch": 52.57142857142857,
544
+ "eval_accuracy": 0.5555555555555556,
545
+ "eval_loss": 1.0926969051361084,
546
+ "eval_runtime": 0.503,
547
+ "eval_samples_per_second": 71.576,
548
+ "eval_steps_per_second": 3.976,
549
+ "step": 92
550
+ },
551
+ {
552
+ "epoch": 53.714285714285715,
553
+ "eval_accuracy": 0.5555555555555556,
554
+ "eval_loss": 1.0882978439331055,
555
+ "eval_runtime": 0.497,
556
+ "eval_samples_per_second": 72.435,
557
+ "eval_steps_per_second": 4.024,
558
+ "step": 94
559
+ },
560
+ {
561
+ "epoch": 54.857142857142854,
562
+ "eval_accuracy": 0.5555555555555556,
563
+ "eval_loss": 1.0874247550964355,
564
+ "eval_runtime": 0.4964,
565
+ "eval_samples_per_second": 72.527,
566
+ "eval_steps_per_second": 4.029,
567
+ "step": 96
568
+ },
569
+ {
570
+ "epoch": 56.0,
571
+ "eval_accuracy": 0.5277777777777778,
572
+ "eval_loss": 1.08829927444458,
573
+ "eval_runtime": 0.4929,
574
+ "eval_samples_per_second": 73.04,
575
+ "eval_steps_per_second": 4.058,
576
+ "step": 98
577
+ },
578
+ {
579
+ "epoch": 56.57142857142857,
580
+ "eval_accuracy": 0.5277777777777778,
581
+ "eval_loss": 1.0868247747421265,
582
+ "eval_runtime": 0.5059,
583
+ "eval_samples_per_second": 71.156,
584
+ "eval_steps_per_second": 3.953,
585
+ "step": 99
586
+ },
587
+ {
588
+ "epoch": 57.142857142857146,
589
+ "grad_norm": 5.025148391723633,
590
+ "learning_rate": 0.0,
591
+ "loss": 0.321,
592
+ "step": 100
593
+ },
594
+ {
595
+ "epoch": 57.142857142857146,
596
+ "eval_accuracy": 0.5277777777777778,
597
+ "eval_loss": 1.0857826471328735,
598
+ "eval_runtime": 0.494,
599
+ "eval_samples_per_second": 72.876,
600
+ "eval_steps_per_second": 4.049,
601
+ "step": 100
602
+ },
603
+ {
604
+ "epoch": 57.142857142857146,
605
+ "step": 100,
606
+ "total_flos": 8.770779002957046e+17,
607
+ "train_loss": 0.5723180460929871,
608
+ "train_runtime": 553.2491,
609
+ "train_samples_per_second": 35.789,
610
+ "train_steps_per_second": 0.181
611
+ },
612
+ {
613
+ "epoch": 57.142857142857146,
614
+ "eval_accuracy": 0.6944444444444444,
615
+ "eval_loss": 0.9276576638221741,
616
+ "eval_runtime": 0.5568,
617
+ "eval_samples_per_second": 64.661,
618
+ "eval_steps_per_second": 3.592,
619
+ "step": 100
620
+ }
621
+ ],
622
+ "logging_steps": 10,
623
+ "max_steps": 100,
624
+ "num_input_tokens_seen": 0,
625
+ "num_train_epochs": 100,
626
+ "save_steps": 500,
627
+ "stateful_callbacks": {
628
+ "TrainerControl": {
629
+ "args": {
630
+ "should_epoch_stop": false,
631
+ "should_evaluate": false,
632
+ "should_log": false,
633
+ "should_save": true,
634
+ "should_training_stop": true
635
+ },
636
+ "attributes": {}
637
+ }
638
+ },
639
+ "total_flos": 8.770779002957046e+17,
640
+ "train_batch_size": 32,
641
+ "trial_name": null,
642
+ "trial_params": null
643
+ }