DrishtiSharma commited on
Commit
5dda484
1 Parent(s): f8cc129
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9373007438894793,
4
+ "eval_loss": 0.2868094742298126,
5
+ "eval_runtime": 41.7259,
6
+ "eval_samples_per_second": 22.552,
7
+ "eval_steps_per_second": 2.828,
8
+ "total_flos": 2.6257169541360845e+18,
9
+ "train_loss": 0.509146851408589,
10
+ "train_runtime": 2159.6535,
11
+ "train_samples_per_second": 12.335,
12
+ "train_steps_per_second": 0.771
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9373007438894793,
4
+ "eval_loss": 0.2868094742298126,
5
+ "eval_runtime": 41.7259,
6
+ "eval_samples_per_second": 22.552,
7
+ "eval_steps_per_second": 2.828
8
+ }
runs/Sep02_13-36-21_e0877e99f71e/events.out.tfevents.1662128357.e0877e99f71e.69.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d51cfc9711add2e20f8810785d48b74447c5235ddfcf064cb319ea3b28ec7c18
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2.6257169541360845e+18,
4
+ "train_loss": 0.509146851408589,
5
+ "train_runtime": 2159.6535,
6
+ "train_samples_per_second": 12.335,
7
+ "train_steps_per_second": 0.771
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1165 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.2868094742298126,
3
+ "best_model_checkpoint": "DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v1/checkpoint-1400",
4
+ "epoch": 5.0,
5
+ "global_step": 1665,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 0.0001992792792792793,
13
+ "loss": 8.5776,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.06,
18
+ "learning_rate": 0.00019807807807807807,
19
+ "loss": 4.601,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.09,
24
+ "learning_rate": 0.00019687687687687687,
25
+ "loss": 2.306,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.12,
30
+ "learning_rate": 0.00019567567567567567,
31
+ "loss": 1.784,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.15,
36
+ "learning_rate": 0.00019447447447447448,
37
+ "loss": 1.8375,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.18,
42
+ "learning_rate": 0.0001932732732732733,
43
+ "loss": 1.2307,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.21,
48
+ "learning_rate": 0.00019207207207207208,
49
+ "loss": 1.2008,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.24,
54
+ "learning_rate": 0.00019087087087087088,
55
+ "loss": 1.1303,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.27,
60
+ "learning_rate": 0.00018966966966966968,
61
+ "loss": 0.7806,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.3,
66
+ "learning_rate": 0.00018846846846846848,
67
+ "loss": 1.2433,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.3,
72
+ "eval_accuracy": 0.8193411264612115,
73
+ "eval_loss": 0.7067487239837646,
74
+ "eval_runtime": 41.0344,
75
+ "eval_samples_per_second": 22.932,
76
+ "eval_steps_per_second": 2.876,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 0.33,
81
+ "learning_rate": 0.00018726726726726726,
82
+ "loss": 1.2738,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 0.36,
87
+ "learning_rate": 0.00018606606606606606,
88
+ "loss": 0.9205,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 0.39,
93
+ "learning_rate": 0.00018486486486486486,
94
+ "loss": 1.0657,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 0.42,
99
+ "learning_rate": 0.00018366366366366366,
100
+ "loss": 0.7326,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 0.45,
105
+ "learning_rate": 0.0001824624624624625,
106
+ "loss": 0.9267,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 0.48,
111
+ "learning_rate": 0.00018126126126126127,
112
+ "loss": 0.6556,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 0.51,
117
+ "learning_rate": 0.00018006006006006007,
118
+ "loss": 0.9394,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 0.54,
123
+ "learning_rate": 0.00017885885885885887,
124
+ "loss": 0.8358,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 0.57,
129
+ "learning_rate": 0.00017765765765765767,
130
+ "loss": 0.8192,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 0.6,
135
+ "learning_rate": 0.00017645645645645647,
136
+ "loss": 0.6458,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 0.6,
141
+ "eval_accuracy": 0.8788522848034006,
142
+ "eval_loss": 0.4691758453845978,
143
+ "eval_runtime": 40.9715,
144
+ "eval_samples_per_second": 22.967,
145
+ "eval_steps_per_second": 2.88,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 0.63,
150
+ "learning_rate": 0.00017525525525525525,
151
+ "loss": 0.7785,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 0.66,
156
+ "learning_rate": 0.00017405405405405405,
157
+ "loss": 0.7238,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 0.69,
162
+ "learning_rate": 0.00017285285285285285,
163
+ "loss": 0.6252,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 0.72,
168
+ "learning_rate": 0.00017165165165165168,
169
+ "loss": 0.5769,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 0.75,
174
+ "learning_rate": 0.00017045045045045045,
175
+ "loss": 0.7919,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 0.78,
180
+ "learning_rate": 0.00016924924924924926,
181
+ "loss": 0.9191,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 0.81,
186
+ "learning_rate": 0.00016804804804804806,
187
+ "loss": 0.7977,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 0.84,
192
+ "learning_rate": 0.00016684684684684686,
193
+ "loss": 1.0148,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 0.87,
198
+ "learning_rate": 0.00016564564564564566,
199
+ "loss": 0.6755,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 0.9,
204
+ "learning_rate": 0.00016444444444444444,
205
+ "loss": 0.635,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 0.9,
210
+ "eval_accuracy": 0.8682252922422954,
211
+ "eval_loss": 0.48639556765556335,
212
+ "eval_runtime": 40.8306,
213
+ "eval_samples_per_second": 23.046,
214
+ "eval_steps_per_second": 2.89,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 0.93,
219
+ "learning_rate": 0.00016324324324324324,
220
+ "loss": 0.6479,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 0.96,
225
+ "learning_rate": 0.00016204204204204204,
226
+ "loss": 0.6987,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 0.99,
231
+ "learning_rate": 0.00016084084084084087,
232
+ "loss": 0.6282,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 1.02,
237
+ "learning_rate": 0.00015963963963963964,
238
+ "loss": 0.6216,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 1.05,
243
+ "learning_rate": 0.00015843843843843844,
244
+ "loss": 0.539,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 1.08,
249
+ "learning_rate": 0.00015723723723723725,
250
+ "loss": 0.2988,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 1.11,
255
+ "learning_rate": 0.00015603603603603605,
256
+ "loss": 0.3224,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 1.14,
261
+ "learning_rate": 0.00015483483483483485,
262
+ "loss": 0.6158,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 1.17,
267
+ "learning_rate": 0.00015363363363363362,
268
+ "loss": 0.484,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 1.2,
273
+ "learning_rate": 0.00015243243243243243,
274
+ "loss": 0.6219,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 1.2,
279
+ "eval_accuracy": 0.8831030818278427,
280
+ "eval_loss": 0.4240102171897888,
281
+ "eval_runtime": 40.6001,
282
+ "eval_samples_per_second": 23.177,
283
+ "eval_steps_per_second": 2.906,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 1.23,
288
+ "learning_rate": 0.00015123123123123123,
289
+ "loss": 0.5453,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 1.26,
294
+ "learning_rate": 0.00015003003003003006,
295
+ "loss": 0.56,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 1.29,
300
+ "learning_rate": 0.00014882882882882883,
301
+ "loss": 0.3875,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 1.32,
306
+ "learning_rate": 0.00014762762762762763,
307
+ "loss": 0.5187,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 1.35,
312
+ "learning_rate": 0.00014642642642642643,
313
+ "loss": 0.5176,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 1.38,
318
+ "learning_rate": 0.00014522522522522524,
319
+ "loss": 0.8876,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 1.41,
324
+ "learning_rate": 0.00014402402402402404,
325
+ "loss": 0.3874,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 1.44,
330
+ "learning_rate": 0.0001428228228228228,
331
+ "loss": 0.7958,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 1.47,
336
+ "learning_rate": 0.00014162162162162161,
337
+ "loss": 0.5271,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 1.5,
342
+ "learning_rate": 0.00014042042042042042,
343
+ "loss": 0.4889,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 1.5,
348
+ "eval_accuracy": 0.8947927736450585,
349
+ "eval_loss": 0.3840125799179077,
350
+ "eval_runtime": 41.0356,
351
+ "eval_samples_per_second": 22.931,
352
+ "eval_steps_per_second": 2.876,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 1.53,
357
+ "learning_rate": 0.00013921921921921924,
358
+ "loss": 0.5692,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 1.56,
363
+ "learning_rate": 0.00013801801801801802,
364
+ "loss": 0.5541,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 1.59,
369
+ "learning_rate": 0.00013681681681681682,
370
+ "loss": 0.6267,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 1.62,
375
+ "learning_rate": 0.00013561561561561562,
376
+ "loss": 0.55,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 1.65,
381
+ "learning_rate": 0.00013441441441441442,
382
+ "loss": 0.425,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 1.68,
387
+ "learning_rate": 0.00013321321321321323,
388
+ "loss": 0.3501,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 1.71,
393
+ "learning_rate": 0.000132012012012012,
394
+ "loss": 0.5891,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 1.74,
399
+ "learning_rate": 0.0001308108108108108,
400
+ "loss": 0.5129,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 1.77,
405
+ "learning_rate": 0.00012960960960960963,
406
+ "loss": 0.6074,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 1.8,
411
+ "learning_rate": 0.00012840840840840843,
412
+ "loss": 0.2963,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 1.8,
417
+ "eval_accuracy": 0.895855472901169,
418
+ "eval_loss": 0.42787039279937744,
419
+ "eval_runtime": 40.9188,
420
+ "eval_samples_per_second": 22.997,
421
+ "eval_steps_per_second": 2.884,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 1.83,
426
+ "learning_rate": 0.00012720720720720723,
427
+ "loss": 0.3153,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 1.86,
432
+ "learning_rate": 0.000126006006006006,
433
+ "loss": 0.4458,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 1.89,
438
+ "learning_rate": 0.0001248048048048048,
439
+ "loss": 0.5593,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 1.92,
444
+ "learning_rate": 0.0001236036036036036,
445
+ "loss": 0.4581,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 1.95,
450
+ "learning_rate": 0.0001224024024024024,
451
+ "loss": 0.4293,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 1.98,
456
+ "learning_rate": 0.0001212012012012012,
457
+ "loss": 0.3959,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 2.01,
462
+ "learning_rate": 0.00012,
463
+ "loss": 0.6051,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 2.04,
468
+ "learning_rate": 0.0001187987987987988,
469
+ "loss": 0.4068,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 2.07,
474
+ "learning_rate": 0.0001175975975975976,
475
+ "loss": 0.4732,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 2.1,
480
+ "learning_rate": 0.00011639639639639641,
481
+ "loss": 0.4405,
482
+ "step": 700
483
+ },
484
+ {
485
+ "epoch": 2.1,
486
+ "eval_accuracy": 0.9117959617428267,
487
+ "eval_loss": 0.35077255964279175,
488
+ "eval_runtime": 41.1075,
489
+ "eval_samples_per_second": 22.891,
490
+ "eval_steps_per_second": 2.871,
491
+ "step": 700
492
+ },
493
+ {
494
+ "epoch": 2.13,
495
+ "learning_rate": 0.0001151951951951952,
496
+ "loss": 0.2055,
497
+ "step": 710
498
+ },
499
+ {
500
+ "epoch": 2.16,
501
+ "learning_rate": 0.000113993993993994,
502
+ "loss": 0.3782,
503
+ "step": 720
504
+ },
505
+ {
506
+ "epoch": 2.19,
507
+ "learning_rate": 0.0001127927927927928,
508
+ "loss": 0.2767,
509
+ "step": 730
510
+ },
511
+ {
512
+ "epoch": 2.22,
513
+ "learning_rate": 0.0001115915915915916,
514
+ "loss": 0.275,
515
+ "step": 740
516
+ },
517
+ {
518
+ "epoch": 2.25,
519
+ "learning_rate": 0.00011039039039039039,
520
+ "loss": 0.3466,
521
+ "step": 750
522
+ },
523
+ {
524
+ "epoch": 2.28,
525
+ "learning_rate": 0.00010918918918918919,
526
+ "loss": 0.5017,
527
+ "step": 760
528
+ },
529
+ {
530
+ "epoch": 2.31,
531
+ "learning_rate": 0.00010798798798798799,
532
+ "loss": 0.3676,
533
+ "step": 770
534
+ },
535
+ {
536
+ "epoch": 2.34,
537
+ "learning_rate": 0.0001067867867867868,
538
+ "loss": 0.3576,
539
+ "step": 780
540
+ },
541
+ {
542
+ "epoch": 2.37,
543
+ "learning_rate": 0.0001055855855855856,
544
+ "loss": 0.4545,
545
+ "step": 790
546
+ },
547
+ {
548
+ "epoch": 2.4,
549
+ "learning_rate": 0.00010438438438438438,
550
+ "loss": 0.3803,
551
+ "step": 800
552
+ },
553
+ {
554
+ "epoch": 2.4,
555
+ "eval_accuracy": 0.9086078639744952,
556
+ "eval_loss": 0.36589011549949646,
557
+ "eval_runtime": 40.8562,
558
+ "eval_samples_per_second": 23.032,
559
+ "eval_steps_per_second": 2.888,
560
+ "step": 800
561
+ },
562
+ {
563
+ "epoch": 2.43,
564
+ "learning_rate": 0.00010318318318318319,
565
+ "loss": 0.2818,
566
+ "step": 810
567
+ },
568
+ {
569
+ "epoch": 2.46,
570
+ "learning_rate": 0.00010198198198198199,
571
+ "loss": 0.4102,
572
+ "step": 820
573
+ },
574
+ {
575
+ "epoch": 2.49,
576
+ "learning_rate": 0.00010078078078078079,
577
+ "loss": 0.3617,
578
+ "step": 830
579
+ },
580
+ {
581
+ "epoch": 2.52,
582
+ "learning_rate": 9.957957957957959e-05,
583
+ "loss": 0.4926,
584
+ "step": 840
585
+ },
586
+ {
587
+ "epoch": 2.55,
588
+ "learning_rate": 9.837837837837839e-05,
589
+ "loss": 0.2893,
590
+ "step": 850
591
+ },
592
+ {
593
+ "epoch": 2.58,
594
+ "learning_rate": 9.717717717717718e-05,
595
+ "loss": 0.2848,
596
+ "step": 860
597
+ },
598
+ {
599
+ "epoch": 2.61,
600
+ "learning_rate": 9.597597597597598e-05,
601
+ "loss": 0.292,
602
+ "step": 870
603
+ },
604
+ {
605
+ "epoch": 2.64,
606
+ "learning_rate": 9.477477477477478e-05,
607
+ "loss": 0.5481,
608
+ "step": 880
609
+ },
610
+ {
611
+ "epoch": 2.67,
612
+ "learning_rate": 9.357357357357359e-05,
613
+ "loss": 0.2587,
614
+ "step": 890
615
+ },
616
+ {
617
+ "epoch": 2.7,
618
+ "learning_rate": 9.237237237237237e-05,
619
+ "loss": 0.3499,
620
+ "step": 900
621
+ },
622
+ {
623
+ "epoch": 2.7,
624
+ "eval_accuracy": 0.9213602550478215,
625
+ "eval_loss": 0.33470773696899414,
626
+ "eval_runtime": 40.8732,
627
+ "eval_samples_per_second": 23.022,
628
+ "eval_steps_per_second": 2.887,
629
+ "step": 900
630
+ },
631
+ {
632
+ "epoch": 2.73,
633
+ "learning_rate": 9.117117117117118e-05,
634
+ "loss": 0.3355,
635
+ "step": 910
636
+ },
637
+ {
638
+ "epoch": 2.76,
639
+ "learning_rate": 8.996996996996996e-05,
640
+ "loss": 0.3938,
641
+ "step": 920
642
+ },
643
+ {
644
+ "epoch": 2.79,
645
+ "learning_rate": 8.876876876876878e-05,
646
+ "loss": 0.3229,
647
+ "step": 930
648
+ },
649
+ {
650
+ "epoch": 2.82,
651
+ "learning_rate": 8.756756756756758e-05,
652
+ "loss": 0.2761,
653
+ "step": 940
654
+ },
655
+ {
656
+ "epoch": 2.85,
657
+ "learning_rate": 8.636636636636637e-05,
658
+ "loss": 0.362,
659
+ "step": 950
660
+ },
661
+ {
662
+ "epoch": 2.88,
663
+ "learning_rate": 8.516516516516517e-05,
664
+ "loss": 0.3807,
665
+ "step": 960
666
+ },
667
+ {
668
+ "epoch": 2.91,
669
+ "learning_rate": 8.396396396396397e-05,
670
+ "loss": 0.3084,
671
+ "step": 970
672
+ },
673
+ {
674
+ "epoch": 2.94,
675
+ "learning_rate": 8.276276276276277e-05,
676
+ "loss": 0.664,
677
+ "step": 980
678
+ },
679
+ {
680
+ "epoch": 2.97,
681
+ "learning_rate": 8.156156156156156e-05,
682
+ "loss": 0.3162,
683
+ "step": 990
684
+ },
685
+ {
686
+ "epoch": 3.0,
687
+ "learning_rate": 8.036036036036036e-05,
688
+ "loss": 0.3131,
689
+ "step": 1000
690
+ },
691
+ {
692
+ "epoch": 3.0,
693
+ "eval_accuracy": 0.9277364505844846,
694
+ "eval_loss": 0.290975421667099,
695
+ "eval_runtime": 40.7778,
696
+ "eval_samples_per_second": 23.076,
697
+ "eval_steps_per_second": 2.894,
698
+ "step": 1000
699
+ },
700
+ {
701
+ "epoch": 3.03,
702
+ "learning_rate": 7.915915915915915e-05,
703
+ "loss": 0.152,
704
+ "step": 1010
705
+ },
706
+ {
707
+ "epoch": 3.06,
708
+ "learning_rate": 7.795795795795797e-05,
709
+ "loss": 0.3068,
710
+ "step": 1020
711
+ },
712
+ {
713
+ "epoch": 3.09,
714
+ "learning_rate": 7.675675675675677e-05,
715
+ "loss": 0.1023,
716
+ "step": 1030
717
+ },
718
+ {
719
+ "epoch": 3.12,
720
+ "learning_rate": 7.555555555555556e-05,
721
+ "loss": 0.4051,
722
+ "step": 1040
723
+ },
724
+ {
725
+ "epoch": 3.15,
726
+ "learning_rate": 7.435435435435436e-05,
727
+ "loss": 0.2915,
728
+ "step": 1050
729
+ },
730
+ {
731
+ "epoch": 3.18,
732
+ "learning_rate": 7.315315315315316e-05,
733
+ "loss": 0.1638,
734
+ "step": 1060
735
+ },
736
+ {
737
+ "epoch": 3.21,
738
+ "learning_rate": 7.195195195195196e-05,
739
+ "loss": 0.1406,
740
+ "step": 1070
741
+ },
742
+ {
743
+ "epoch": 3.24,
744
+ "learning_rate": 7.075075075075075e-05,
745
+ "loss": 0.1844,
746
+ "step": 1080
747
+ },
748
+ {
749
+ "epoch": 3.27,
750
+ "learning_rate": 6.954954954954955e-05,
751
+ "loss": 0.4238,
752
+ "step": 1090
753
+ },
754
+ {
755
+ "epoch": 3.3,
756
+ "learning_rate": 6.834834834834835e-05,
757
+ "loss": 0.3036,
758
+ "step": 1100
759
+ },
760
+ {
761
+ "epoch": 3.3,
762
+ "eval_accuracy": 0.9107332624867163,
763
+ "eval_loss": 0.3937636613845825,
764
+ "eval_runtime": 40.8699,
765
+ "eval_samples_per_second": 23.024,
766
+ "eval_steps_per_second": 2.887,
767
+ "step": 1100
768
+ },
769
+ {
770
+ "epoch": 3.33,
771
+ "learning_rate": 6.714714714714715e-05,
772
+ "loss": 0.366,
773
+ "step": 1110
774
+ },
775
+ {
776
+ "epoch": 3.36,
777
+ "learning_rate": 6.594594594594596e-05,
778
+ "loss": 0.1498,
779
+ "step": 1120
780
+ },
781
+ {
782
+ "epoch": 3.39,
783
+ "learning_rate": 6.474474474474474e-05,
784
+ "loss": 0.241,
785
+ "step": 1130
786
+ },
787
+ {
788
+ "epoch": 3.42,
789
+ "learning_rate": 6.354354354354355e-05,
790
+ "loss": 0.3446,
791
+ "step": 1140
792
+ },
793
+ {
794
+ "epoch": 3.45,
795
+ "learning_rate": 6.234234234234235e-05,
796
+ "loss": 0.1943,
797
+ "step": 1150
798
+ },
799
+ {
800
+ "epoch": 3.48,
801
+ "learning_rate": 6.114114114114115e-05,
802
+ "loss": 0.2137,
803
+ "step": 1160
804
+ },
805
+ {
806
+ "epoch": 3.51,
807
+ "learning_rate": 5.993993993993994e-05,
808
+ "loss": 0.1259,
809
+ "step": 1170
810
+ },
811
+ {
812
+ "epoch": 3.54,
813
+ "learning_rate": 5.873873873873874e-05,
814
+ "loss": 0.1947,
815
+ "step": 1180
816
+ },
817
+ {
818
+ "epoch": 3.57,
819
+ "learning_rate": 5.753753753753755e-05,
820
+ "loss": 0.138,
821
+ "step": 1190
822
+ },
823
+ {
824
+ "epoch": 3.6,
825
+ "learning_rate": 5.6336336336336336e-05,
826
+ "loss": 0.2697,
827
+ "step": 1200
828
+ },
829
+ {
830
+ "epoch": 3.6,
831
+ "eval_accuracy": 0.9171094580233794,
832
+ "eval_loss": 0.35658442974090576,
833
+ "eval_runtime": 40.9373,
834
+ "eval_samples_per_second": 22.986,
835
+ "eval_steps_per_second": 2.882,
836
+ "step": 1200
837
+ },
838
+ {
839
+ "epoch": 3.63,
840
+ "learning_rate": 5.5135135135135144e-05,
841
+ "loss": 0.1748,
842
+ "step": 1210
843
+ },
844
+ {
845
+ "epoch": 3.66,
846
+ "learning_rate": 5.393393393393393e-05,
847
+ "loss": 0.1407,
848
+ "step": 1220
849
+ },
850
+ {
851
+ "epoch": 3.69,
852
+ "learning_rate": 5.2732732732732734e-05,
853
+ "loss": 0.316,
854
+ "step": 1230
855
+ },
856
+ {
857
+ "epoch": 3.72,
858
+ "learning_rate": 5.153153153153153e-05,
859
+ "loss": 0.1369,
860
+ "step": 1240
861
+ },
862
+ {
863
+ "epoch": 3.75,
864
+ "learning_rate": 5.033033033033033e-05,
865
+ "loss": 0.2623,
866
+ "step": 1250
867
+ },
868
+ {
869
+ "epoch": 3.78,
870
+ "learning_rate": 4.912912912912913e-05,
871
+ "loss": 0.0935,
872
+ "step": 1260
873
+ },
874
+ {
875
+ "epoch": 3.81,
876
+ "learning_rate": 4.792792792792793e-05,
877
+ "loss": 0.2738,
878
+ "step": 1270
879
+ },
880
+ {
881
+ "epoch": 3.84,
882
+ "learning_rate": 4.672672672672673e-05,
883
+ "loss": 0.35,
884
+ "step": 1280
885
+ },
886
+ {
887
+ "epoch": 3.87,
888
+ "learning_rate": 4.5525525525525524e-05,
889
+ "loss": 0.1173,
890
+ "step": 1290
891
+ },
892
+ {
893
+ "epoch": 3.9,
894
+ "learning_rate": 4.432432432432433e-05,
895
+ "loss": 0.1551,
896
+ "step": 1300
897
+ },
898
+ {
899
+ "epoch": 3.9,
900
+ "eval_accuracy": 0.9341126461211477,
901
+ "eval_loss": 0.3369457423686981,
902
+ "eval_runtime": 41.1834,
903
+ "eval_samples_per_second": 22.849,
904
+ "eval_steps_per_second": 2.865,
905
+ "step": 1300
906
+ },
907
+ {
908
+ "epoch": 3.93,
909
+ "learning_rate": 4.312312312312313e-05,
910
+ "loss": 0.3394,
911
+ "step": 1310
912
+ },
913
+ {
914
+ "epoch": 3.96,
915
+ "learning_rate": 4.192192192192192e-05,
916
+ "loss": 0.2533,
917
+ "step": 1320
918
+ },
919
+ {
920
+ "epoch": 3.99,
921
+ "learning_rate": 4.0720720720720724e-05,
922
+ "loss": 0.1894,
923
+ "step": 1330
924
+ },
925
+ {
926
+ "epoch": 4.02,
927
+ "learning_rate": 3.951951951951952e-05,
928
+ "loss": 0.1789,
929
+ "step": 1340
930
+ },
931
+ {
932
+ "epoch": 4.05,
933
+ "learning_rate": 3.831831831831832e-05,
934
+ "loss": 0.0723,
935
+ "step": 1350
936
+ },
937
+ {
938
+ "epoch": 4.08,
939
+ "learning_rate": 3.7117117117117115e-05,
940
+ "loss": 0.1718,
941
+ "step": 1360
942
+ },
943
+ {
944
+ "epoch": 4.11,
945
+ "learning_rate": 3.591591591591592e-05,
946
+ "loss": 0.1439,
947
+ "step": 1370
948
+ },
949
+ {
950
+ "epoch": 4.14,
951
+ "learning_rate": 3.471471471471472e-05,
952
+ "loss": 0.2211,
953
+ "step": 1380
954
+ },
955
+ {
956
+ "epoch": 4.17,
957
+ "learning_rate": 3.351351351351352e-05,
958
+ "loss": 0.079,
959
+ "step": 1390
960
+ },
961
+ {
962
+ "epoch": 4.2,
963
+ "learning_rate": 3.2312312312312315e-05,
964
+ "loss": 0.0752,
965
+ "step": 1400
966
+ },
967
+ {
968
+ "epoch": 4.2,
969
+ "eval_accuracy": 0.9373007438894793,
970
+ "eval_loss": 0.2868094742298126,
971
+ "eval_runtime": 41.4456,
972
+ "eval_samples_per_second": 22.704,
973
+ "eval_steps_per_second": 2.847,
974
+ "step": 1400
975
+ },
976
+ {
977
+ "epoch": 4.23,
978
+ "learning_rate": 3.111111111111111e-05,
979
+ "loss": 0.0999,
980
+ "step": 1410
981
+ },
982
+ {
983
+ "epoch": 4.26,
984
+ "learning_rate": 2.990990990990991e-05,
985
+ "loss": 0.1528,
986
+ "step": 1420
987
+ },
988
+ {
989
+ "epoch": 4.29,
990
+ "learning_rate": 2.870870870870871e-05,
991
+ "loss": 0.1456,
992
+ "step": 1430
993
+ },
994
+ {
995
+ "epoch": 4.32,
996
+ "learning_rate": 2.7507507507507508e-05,
997
+ "loss": 0.1389,
998
+ "step": 1440
999
+ },
1000
+ {
1001
+ "epoch": 4.35,
1002
+ "learning_rate": 2.6306306306306306e-05,
1003
+ "loss": 0.0957,
1004
+ "step": 1450
1005
+ },
1006
+ {
1007
+ "epoch": 4.38,
1008
+ "learning_rate": 2.5105105105105108e-05,
1009
+ "loss": 0.1156,
1010
+ "step": 1460
1011
+ },
1012
+ {
1013
+ "epoch": 4.41,
1014
+ "learning_rate": 2.3903903903903903e-05,
1015
+ "loss": 0.16,
1016
+ "step": 1470
1017
+ },
1018
+ {
1019
+ "epoch": 4.44,
1020
+ "learning_rate": 2.2702702702702705e-05,
1021
+ "loss": 0.1485,
1022
+ "step": 1480
1023
+ },
1024
+ {
1025
+ "epoch": 4.47,
1026
+ "learning_rate": 2.1501501501501503e-05,
1027
+ "loss": 0.1667,
1028
+ "step": 1490
1029
+ },
1030
+ {
1031
+ "epoch": 4.5,
1032
+ "learning_rate": 2.03003003003003e-05,
1033
+ "loss": 0.132,
1034
+ "step": 1500
1035
+ },
1036
+ {
1037
+ "epoch": 4.5,
1038
+ "eval_accuracy": 0.9373007438894793,
1039
+ "eval_loss": 0.3023243546485901,
1040
+ "eval_runtime": 41.2414,
1041
+ "eval_samples_per_second": 22.817,
1042
+ "eval_steps_per_second": 2.861,
1043
+ "step": 1500
1044
+ },
1045
+ {
1046
+ "epoch": 4.53,
1047
+ "learning_rate": 1.90990990990991e-05,
1048
+ "loss": 0.2626,
1049
+ "step": 1510
1050
+ },
1051
+ {
1052
+ "epoch": 4.56,
1053
+ "learning_rate": 1.78978978978979e-05,
1054
+ "loss": 0.2645,
1055
+ "step": 1520
1056
+ },
1057
+ {
1058
+ "epoch": 4.59,
1059
+ "learning_rate": 1.66966966966967e-05,
1060
+ "loss": 0.1691,
1061
+ "step": 1530
1062
+ },
1063
+ {
1064
+ "epoch": 4.62,
1065
+ "learning_rate": 1.5495495495495498e-05,
1066
+ "loss": 0.1964,
1067
+ "step": 1540
1068
+ },
1069
+ {
1070
+ "epoch": 4.65,
1071
+ "learning_rate": 1.4294294294294294e-05,
1072
+ "loss": 0.1062,
1073
+ "step": 1550
1074
+ },
1075
+ {
1076
+ "epoch": 4.68,
1077
+ "learning_rate": 1.3093093093093094e-05,
1078
+ "loss": 0.1863,
1079
+ "step": 1560
1080
+ },
1081
+ {
1082
+ "epoch": 4.71,
1083
+ "learning_rate": 1.1891891891891893e-05,
1084
+ "loss": 0.1155,
1085
+ "step": 1570
1086
+ },
1087
+ {
1088
+ "epoch": 4.74,
1089
+ "learning_rate": 1.0690690690690691e-05,
1090
+ "loss": 0.1222,
1091
+ "step": 1580
1092
+ },
1093
+ {
1094
+ "epoch": 4.77,
1095
+ "learning_rate": 9.489489489489491e-06,
1096
+ "loss": 0.0238,
1097
+ "step": 1590
1098
+ },
1099
+ {
1100
+ "epoch": 4.8,
1101
+ "learning_rate": 8.288288288288289e-06,
1102
+ "loss": 0.1133,
1103
+ "step": 1600
1104
+ },
1105
+ {
1106
+ "epoch": 4.8,
1107
+ "eval_accuracy": 0.9415515409139213,
1108
+ "eval_loss": 0.29777178168296814,
1109
+ "eval_runtime": 41.1597,
1110
+ "eval_samples_per_second": 22.862,
1111
+ "eval_steps_per_second": 2.867,
1112
+ "step": 1600
1113
+ },
1114
+ {
1115
+ "epoch": 4.83,
1116
+ "learning_rate": 7.0870870870870866e-06,
1117
+ "loss": 0.1734,
1118
+ "step": 1610
1119
+ },
1120
+ {
1121
+ "epoch": 4.86,
1122
+ "learning_rate": 5.8858858858858865e-06,
1123
+ "loss": 0.086,
1124
+ "step": 1620
1125
+ },
1126
+ {
1127
+ "epoch": 4.89,
1128
+ "learning_rate": 4.684684684684685e-06,
1129
+ "loss": 0.0928,
1130
+ "step": 1630
1131
+ },
1132
+ {
1133
+ "epoch": 4.92,
1134
+ "learning_rate": 3.4834834834834835e-06,
1135
+ "loss": 0.2043,
1136
+ "step": 1640
1137
+ },
1138
+ {
1139
+ "epoch": 4.95,
1140
+ "learning_rate": 2.2822822822822822e-06,
1141
+ "loss": 0.1768,
1142
+ "step": 1650
1143
+ },
1144
+ {
1145
+ "epoch": 4.98,
1146
+ "learning_rate": 1.0810810810810812e-06,
1147
+ "loss": 0.0674,
1148
+ "step": 1660
1149
+ },
1150
+ {
1151
+ "epoch": 5.0,
1152
+ "step": 1665,
1153
+ "total_flos": 2.6257169541360845e+18,
1154
+ "train_loss": 0.509146851408589,
1155
+ "train_runtime": 2159.6535,
1156
+ "train_samples_per_second": 12.335,
1157
+ "train_steps_per_second": 0.771
1158
+ }
1159
+ ],
1160
+ "max_steps": 1665,
1161
+ "num_train_epochs": 5,
1162
+ "total_flos": 2.6257169541360845e+18,
1163
+ "trial_name": null,
1164
+ "trial_params": null
1165
+ }