Abhiram4 commited on
Commit
6b2c227
1 Parent(s): 107fa5e

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +13 -0
  2. eval_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +469 -0
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.9665621116174469,
4
+ "eval_loss": 0.09518735855817795,
5
+ "eval_runtime": 166.01,
6
+ "eval_samples_per_second": 101.783,
7
+ "eval_steps_per_second": 0.801,
8
+ "total_flos": 1.1536340155092173e+19,
9
+ "train_loss": 0.19495156454661536,
10
+ "train_runtime": 10434.9174,
11
+ "train_samples_per_second": 34.004,
12
+ "train_steps_per_second": 0.066
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.9665621116174469,
4
+ "eval_loss": 0.09518735855817795,
5
+ "eval_runtime": 166.01,
6
+ "eval_samples_per_second": 101.783,
7
+ "eval_steps_per_second": 0.801
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 1.1536340155092173e+19,
4
+ "train_loss": 0.19495156454661536,
5
+ "train_runtime": 10434.9174,
6
+ "train_samples_per_second": 34.004,
7
+ "train_steps_per_second": 0.066
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,469 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9665621116174469,
3
+ "best_model_checkpoint": "SwinMark2/checkpoint-693",
4
+ "epoch": 2.996756756756757,
5
+ "eval_steps": 500,
6
+ "global_step": 693,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04,
13
+ "learning_rate": 7.142857142857143e-06,
14
+ "loss": 1.3098,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.09,
19
+ "learning_rate": 1.4285714285714285e-05,
20
+ "loss": 1.1138,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.13,
25
+ "learning_rate": 2.1428571428571428e-05,
26
+ "loss": 0.8719,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.17,
31
+ "learning_rate": 2.857142857142857e-05,
32
+ "loss": 0.6339,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.22,
37
+ "learning_rate": 3.571428571428572e-05,
38
+ "loss": 0.4509,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.26,
43
+ "learning_rate": 4.2857142857142856e-05,
44
+ "loss": 0.3485,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.3,
49
+ "learning_rate": 5e-05,
50
+ "loss": 0.3103,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.35,
55
+ "learning_rate": 4.919743178170145e-05,
56
+ "loss": 0.2529,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.39,
61
+ "learning_rate": 4.839486356340289e-05,
62
+ "loss": 0.2251,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.43,
67
+ "learning_rate": 4.759229534510434e-05,
68
+ "loss": 0.2148,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.48,
73
+ "learning_rate": 4.678972712680578e-05,
74
+ "loss": 0.2153,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.52,
79
+ "learning_rate": 4.598715890850723e-05,
80
+ "loss": 0.1991,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.56,
85
+ "learning_rate": 4.5184590690208673e-05,
86
+ "loss": 0.1931,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.61,
91
+ "learning_rate": 4.438202247191011e-05,
92
+ "loss": 0.1893,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.65,
97
+ "learning_rate": 4.357945425361156e-05,
98
+ "loss": 0.1806,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.69,
103
+ "learning_rate": 4.2776886035313e-05,
104
+ "loss": 0.1581,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.74,
109
+ "learning_rate": 4.197431781701445e-05,
110
+ "loss": 0.1654,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.78,
115
+ "learning_rate": 4.117174959871589e-05,
116
+ "loss": 0.1606,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.82,
121
+ "learning_rate": 4.036918138041734e-05,
122
+ "loss": 0.1579,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.86,
127
+ "learning_rate": 3.956661316211878e-05,
128
+ "loss": 0.1584,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.91,
133
+ "learning_rate": 3.876404494382023e-05,
134
+ "loss": 0.1931,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 0.95,
139
+ "learning_rate": 3.796147672552167e-05,
140
+ "loss": 0.1474,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 0.99,
145
+ "learning_rate": 3.715890850722312e-05,
146
+ "loss": 0.1407,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 1.0,
151
+ "eval_accuracy": 0.9586317097709652,
152
+ "eval_loss": 0.12301469594240189,
153
+ "eval_runtime": 259.331,
154
+ "eval_samples_per_second": 65.156,
155
+ "eval_steps_per_second": 0.513,
156
+ "step": 231
157
+ },
158
+ {
159
+ "epoch": 1.04,
160
+ "learning_rate": 3.6356340288924564e-05,
161
+ "loss": 0.1519,
162
+ "step": 240
163
+ },
164
+ {
165
+ "epoch": 1.08,
166
+ "learning_rate": 3.555377207062601e-05,
167
+ "loss": 0.1442,
168
+ "step": 250
169
+ },
170
+ {
171
+ "epoch": 1.12,
172
+ "learning_rate": 3.4751203852327454e-05,
173
+ "loss": 0.1409,
174
+ "step": 260
175
+ },
176
+ {
177
+ "epoch": 1.17,
178
+ "learning_rate": 3.394863563402889e-05,
179
+ "loss": 0.1468,
180
+ "step": 270
181
+ },
182
+ {
183
+ "epoch": 1.21,
184
+ "learning_rate": 3.314606741573034e-05,
185
+ "loss": 0.1337,
186
+ "step": 280
187
+ },
188
+ {
189
+ "epoch": 1.25,
190
+ "learning_rate": 3.234349919743178e-05,
191
+ "loss": 0.146,
192
+ "step": 290
193
+ },
194
+ {
195
+ "epoch": 1.3,
196
+ "learning_rate": 3.154093097913323e-05,
197
+ "loss": 0.1486,
198
+ "step": 300
199
+ },
200
+ {
201
+ "epoch": 1.34,
202
+ "learning_rate": 3.073836276083467e-05,
203
+ "loss": 0.1386,
204
+ "step": 310
205
+ },
206
+ {
207
+ "epoch": 1.38,
208
+ "learning_rate": 2.9935794542536115e-05,
209
+ "loss": 0.13,
210
+ "step": 320
211
+ },
212
+ {
213
+ "epoch": 1.43,
214
+ "learning_rate": 2.913322632423756e-05,
215
+ "loss": 0.1192,
216
+ "step": 330
217
+ },
218
+ {
219
+ "epoch": 1.47,
220
+ "learning_rate": 2.8330658105939005e-05,
221
+ "loss": 0.1418,
222
+ "step": 340
223
+ },
224
+ {
225
+ "epoch": 1.51,
226
+ "learning_rate": 2.752808988764045e-05,
227
+ "loss": 0.1171,
228
+ "step": 350
229
+ },
230
+ {
231
+ "epoch": 1.56,
232
+ "learning_rate": 2.6725521669341895e-05,
233
+ "loss": 0.1251,
234
+ "step": 360
235
+ },
236
+ {
237
+ "epoch": 1.6,
238
+ "learning_rate": 2.592295345104334e-05,
239
+ "loss": 0.1261,
240
+ "step": 370
241
+ },
242
+ {
243
+ "epoch": 1.64,
244
+ "learning_rate": 2.5120385232744786e-05,
245
+ "loss": 0.1282,
246
+ "step": 380
247
+ },
248
+ {
249
+ "epoch": 1.69,
250
+ "learning_rate": 2.4317817014446228e-05,
251
+ "loss": 0.1235,
252
+ "step": 390
253
+ },
254
+ {
255
+ "epoch": 1.73,
256
+ "learning_rate": 2.3515248796147673e-05,
257
+ "loss": 0.1269,
258
+ "step": 400
259
+ },
260
+ {
261
+ "epoch": 1.77,
262
+ "learning_rate": 2.2712680577849118e-05,
263
+ "loss": 0.119,
264
+ "step": 410
265
+ },
266
+ {
267
+ "epoch": 1.82,
268
+ "learning_rate": 2.1910112359550563e-05,
269
+ "loss": 0.1296,
270
+ "step": 420
271
+ },
272
+ {
273
+ "epoch": 1.86,
274
+ "learning_rate": 2.1107544141252008e-05,
275
+ "loss": 0.1114,
276
+ "step": 430
277
+ },
278
+ {
279
+ "epoch": 1.9,
280
+ "learning_rate": 2.030497592295345e-05,
281
+ "loss": 0.1334,
282
+ "step": 440
283
+ },
284
+ {
285
+ "epoch": 1.95,
286
+ "learning_rate": 1.9502407704654895e-05,
287
+ "loss": 0.118,
288
+ "step": 450
289
+ },
290
+ {
291
+ "epoch": 1.99,
292
+ "learning_rate": 1.869983948635634e-05,
293
+ "loss": 0.1209,
294
+ "step": 460
295
+ },
296
+ {
297
+ "epoch": 2.0,
298
+ "eval_accuracy": 0.9630111854175297,
299
+ "eval_loss": 0.10658775269985199,
300
+ "eval_runtime": 231.585,
301
+ "eval_samples_per_second": 72.962,
302
+ "eval_steps_per_second": 0.574,
303
+ "step": 462
304
+ },
305
+ {
306
+ "epoch": 2.03,
307
+ "learning_rate": 1.7897271268057786e-05,
308
+ "loss": 0.1038,
309
+ "step": 470
310
+ },
311
+ {
312
+ "epoch": 2.08,
313
+ "learning_rate": 1.709470304975923e-05,
314
+ "loss": 0.1159,
315
+ "step": 480
316
+ },
317
+ {
318
+ "epoch": 2.12,
319
+ "learning_rate": 1.6292134831460676e-05,
320
+ "loss": 0.0992,
321
+ "step": 490
322
+ },
323
+ {
324
+ "epoch": 2.16,
325
+ "learning_rate": 1.548956661316212e-05,
326
+ "loss": 0.1166,
327
+ "step": 500
328
+ },
329
+ {
330
+ "epoch": 2.21,
331
+ "learning_rate": 1.4686998394863563e-05,
332
+ "loss": 0.1046,
333
+ "step": 510
334
+ },
335
+ {
336
+ "epoch": 2.25,
337
+ "learning_rate": 1.3884430176565008e-05,
338
+ "loss": 0.0994,
339
+ "step": 520
340
+ },
341
+ {
342
+ "epoch": 2.29,
343
+ "learning_rate": 1.3081861958266453e-05,
344
+ "loss": 0.124,
345
+ "step": 530
346
+ },
347
+ {
348
+ "epoch": 2.34,
349
+ "learning_rate": 1.2279293739967898e-05,
350
+ "loss": 0.1113,
351
+ "step": 540
352
+ },
353
+ {
354
+ "epoch": 2.38,
355
+ "learning_rate": 1.1476725521669344e-05,
356
+ "loss": 0.1106,
357
+ "step": 550
358
+ },
359
+ {
360
+ "epoch": 2.42,
361
+ "learning_rate": 1.0674157303370787e-05,
362
+ "loss": 0.1083,
363
+ "step": 560
364
+ },
365
+ {
366
+ "epoch": 2.46,
367
+ "learning_rate": 9.871589085072232e-06,
368
+ "loss": 0.1108,
369
+ "step": 570
370
+ },
371
+ {
372
+ "epoch": 2.51,
373
+ "learning_rate": 9.069020866773677e-06,
374
+ "loss": 0.1093,
375
+ "step": 580
376
+ },
377
+ {
378
+ "epoch": 2.55,
379
+ "learning_rate": 8.26645264847512e-06,
380
+ "loss": 0.0975,
381
+ "step": 590
382
+ },
383
+ {
384
+ "epoch": 2.59,
385
+ "learning_rate": 7.463884430176565e-06,
386
+ "loss": 0.1041,
387
+ "step": 600
388
+ },
389
+ {
390
+ "epoch": 2.64,
391
+ "learning_rate": 6.66131621187801e-06,
392
+ "loss": 0.1157,
393
+ "step": 610
394
+ },
395
+ {
396
+ "epoch": 2.68,
397
+ "learning_rate": 5.858747993579455e-06,
398
+ "loss": 0.1005,
399
+ "step": 620
400
+ },
401
+ {
402
+ "epoch": 2.72,
403
+ "learning_rate": 5.056179775280899e-06,
404
+ "loss": 0.1097,
405
+ "step": 630
406
+ },
407
+ {
408
+ "epoch": 2.77,
409
+ "learning_rate": 4.253611556982344e-06,
410
+ "loss": 0.1102,
411
+ "step": 640
412
+ },
413
+ {
414
+ "epoch": 2.81,
415
+ "learning_rate": 3.4510433386837885e-06,
416
+ "loss": 0.111,
417
+ "step": 650
418
+ },
419
+ {
420
+ "epoch": 2.85,
421
+ "learning_rate": 2.648475120385233e-06,
422
+ "loss": 0.0956,
423
+ "step": 660
424
+ },
425
+ {
426
+ "epoch": 2.9,
427
+ "learning_rate": 1.8459069020866775e-06,
428
+ "loss": 0.1079,
429
+ "step": 670
430
+ },
431
+ {
432
+ "epoch": 2.94,
433
+ "learning_rate": 1.043338683788122e-06,
434
+ "loss": 0.1047,
435
+ "step": 680
436
+ },
437
+ {
438
+ "epoch": 2.98,
439
+ "learning_rate": 2.407704654895666e-07,
440
+ "loss": 0.0987,
441
+ "step": 690
442
+ },
443
+ {
444
+ "epoch": 3.0,
445
+ "eval_accuracy": 0.9665621116174469,
446
+ "eval_loss": 0.09518735855817795,
447
+ "eval_runtime": 181.4053,
448
+ "eval_samples_per_second": 93.145,
449
+ "eval_steps_per_second": 0.733,
450
+ "step": 693
451
+ },
452
+ {
453
+ "epoch": 3.0,
454
+ "step": 693,
455
+ "total_flos": 1.1536340155092173e+19,
456
+ "train_loss": 0.19495156454661536,
457
+ "train_runtime": 10434.9174,
458
+ "train_samples_per_second": 34.004,
459
+ "train_steps_per_second": 0.066
460
+ }
461
+ ],
462
+ "logging_steps": 10,
463
+ "max_steps": 693,
464
+ "num_train_epochs": 3,
465
+ "save_steps": 500,
466
+ "total_flos": 1.1536340155092173e+19,
467
+ "trial_name": null,
468
+ "trial_params": null
469
+ }