sooks commited on
Commit
8f22f13
1 Parent(s): 0970da3

🍻 cheers

Browse files
README.md CHANGED
@@ -2,6 +2,7 @@
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
 
5
  - generated_from_trainer
6
  metrics:
7
  - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # id1
17
 
18
- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.6181
21
  - Accuracy: 0.6535
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
5
+ - image-classification
6
  - generated_from_trainer
7
  metrics:
8
  - accuracy
 
16
 
17
  # id1
18
 
19
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the sooks/id1 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.6181
22
  - Accuracy: 0.6535
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.6535040710028017,
4
+ "eval_loss": 0.6181166768074036,
5
+ "eval_runtime": 365.5073,
6
+ "eval_samples_per_second": 145.499,
7
+ "eval_steps_per_second": 18.188,
8
+ "total_flos": 1.40117450989583e+20,
9
+ "train_loss": 0.6729164371932674,
10
+ "train_runtime": 20561.1299,
11
+ "train_samples_per_second": 87.94,
12
+ "train_steps_per_second": 5.496
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.6535040710028017,
4
+ "eval_loss": 0.6181166768074036,
5
+ "eval_runtime": 365.5073,
6
+ "eval_samples_per_second": 145.499,
7
+ "eval_steps_per_second": 18.188
8
+ }
runs/Jan01_06-59-39_a0707a466317/events.out.tfevents.1704113310.a0707a466317.8840.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab5f2c784e1a2a2f754429a62d283a722048dd27bdfebf50efbdcb7d33a8993a
3
+ size 417
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "total_flos": 1.40117450989583e+20,
4
+ "train_loss": 0.6729164371932674,
5
+ "train_runtime": 20561.1299,
6
+ "train_samples_per_second": 87.94,
7
+ "train_steps_per_second": 5.496
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,807 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6181166768074036,
3
+ "best_model_checkpoint": "./id1/checkpoint-110000",
4
+ "epoch": 6.0,
5
+ "eval_steps": 10000,
6
+ "global_step": 113010,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05,
13
+ "learning_rate": 0.00019823024511105212,
14
+ "loss": 0.6956,
15
+ "step": 1000
16
+ },
17
+ {
18
+ "epoch": 0.11,
19
+ "learning_rate": 0.0001964622599769932,
20
+ "loss": 0.6938,
21
+ "step": 2000
22
+ },
23
+ {
24
+ "epoch": 0.16,
25
+ "learning_rate": 0.0001946925050880453,
26
+ "loss": 0.6937,
27
+ "step": 3000
28
+ },
29
+ {
30
+ "epoch": 0.21,
31
+ "learning_rate": 0.00019292275019909742,
32
+ "loss": 0.6935,
33
+ "step": 4000
34
+ },
35
+ {
36
+ "epoch": 0.27,
37
+ "learning_rate": 0.00019115299531014955,
38
+ "loss": 0.6933,
39
+ "step": 5000
40
+ },
41
+ {
42
+ "epoch": 0.32,
43
+ "learning_rate": 0.0001893832404212017,
44
+ "loss": 0.6932,
45
+ "step": 6000
46
+ },
47
+ {
48
+ "epoch": 0.37,
49
+ "learning_rate": 0.00018761525528714274,
50
+ "loss": 0.6933,
51
+ "step": 7000
52
+ },
53
+ {
54
+ "epoch": 0.42,
55
+ "learning_rate": 0.00018584550039819485,
56
+ "loss": 0.6933,
57
+ "step": 8000
58
+ },
59
+ {
60
+ "epoch": 0.48,
61
+ "learning_rate": 0.000184075745509247,
62
+ "loss": 0.6933,
63
+ "step": 9000
64
+ },
65
+ {
66
+ "epoch": 0.53,
67
+ "learning_rate": 0.0001823059906202991,
68
+ "loss": 0.6933,
69
+ "step": 10000
70
+ },
71
+ {
72
+ "epoch": 0.53,
73
+ "eval_accuracy": 0.5007803538857862,
74
+ "eval_loss": 0.6931997537612915,
75
+ "eval_runtime": 359.7161,
76
+ "eval_samples_per_second": 147.842,
77
+ "eval_steps_per_second": 18.481,
78
+ "step": 10000
79
+ },
80
+ {
81
+ "epoch": 0.58,
82
+ "learning_rate": 0.00018053800548624015,
83
+ "loss": 0.6933,
84
+ "step": 11000
85
+ },
86
+ {
87
+ "epoch": 0.64,
88
+ "learning_rate": 0.0001787682505972923,
89
+ "loss": 0.6933,
90
+ "step": 12000
91
+ },
92
+ {
93
+ "epoch": 0.69,
94
+ "learning_rate": 0.00017700026546323337,
95
+ "loss": 0.6932,
96
+ "step": 13000
97
+ },
98
+ {
99
+ "epoch": 0.74,
100
+ "learning_rate": 0.00017523051057428547,
101
+ "loss": 0.6933,
102
+ "step": 14000
103
+ },
104
+ {
105
+ "epoch": 0.8,
106
+ "learning_rate": 0.00017346252544022655,
107
+ "loss": 0.6933,
108
+ "step": 15000
109
+ },
110
+ {
111
+ "epoch": 0.85,
112
+ "learning_rate": 0.00017169277055127866,
113
+ "loss": 0.6932,
114
+ "step": 16000
115
+ },
116
+ {
117
+ "epoch": 0.9,
118
+ "learning_rate": 0.00016992478541721971,
119
+ "loss": 0.6933,
120
+ "step": 17000
121
+ },
122
+ {
123
+ "epoch": 0.96,
124
+ "learning_rate": 0.00016815503052827185,
125
+ "loss": 0.6932,
126
+ "step": 18000
127
+ },
128
+ {
129
+ "epoch": 1.01,
130
+ "learning_rate": 0.0001663870453942129,
131
+ "loss": 0.6932,
132
+ "step": 19000
133
+ },
134
+ {
135
+ "epoch": 1.06,
136
+ "learning_rate": 0.000164617290505265,
137
+ "loss": 0.6933,
138
+ "step": 20000
139
+ },
140
+ {
141
+ "epoch": 1.06,
142
+ "eval_accuracy": 0.4992196461142137,
143
+ "eval_loss": 0.6932681202888489,
144
+ "eval_runtime": 360.8474,
145
+ "eval_samples_per_second": 147.378,
146
+ "eval_steps_per_second": 18.423,
147
+ "step": 20000
148
+ },
149
+ {
150
+ "epoch": 1.11,
151
+ "learning_rate": 0.00016284930537120612,
152
+ "loss": 0.6931,
153
+ "step": 21000
154
+ },
155
+ {
156
+ "epoch": 1.17,
157
+ "learning_rate": 0.00016107955048225823,
158
+ "loss": 0.6933,
159
+ "step": 22000
160
+ },
161
+ {
162
+ "epoch": 1.22,
163
+ "learning_rate": 0.00015931156534819928,
164
+ "loss": 0.6932,
165
+ "step": 23000
166
+ },
167
+ {
168
+ "epoch": 1.27,
169
+ "learning_rate": 0.00015754181045925142,
170
+ "loss": 0.6932,
171
+ "step": 24000
172
+ },
173
+ {
174
+ "epoch": 1.33,
175
+ "learning_rate": 0.00015577382532519247,
176
+ "loss": 0.6932,
177
+ "step": 25000
178
+ },
179
+ {
180
+ "epoch": 1.38,
181
+ "learning_rate": 0.00015400407043624458,
182
+ "loss": 0.6931,
183
+ "step": 26000
184
+ },
185
+ {
186
+ "epoch": 1.43,
187
+ "learning_rate": 0.00015223608530218565,
188
+ "loss": 0.6934,
189
+ "step": 27000
190
+ },
191
+ {
192
+ "epoch": 1.49,
193
+ "learning_rate": 0.00015046633041323776,
194
+ "loss": 0.6932,
195
+ "step": 28000
196
+ },
197
+ {
198
+ "epoch": 1.54,
199
+ "learning_rate": 0.00014869834527917884,
200
+ "loss": 0.6933,
201
+ "step": 29000
202
+ },
203
+ {
204
+ "epoch": 1.59,
205
+ "learning_rate": 0.00014692859039023098,
206
+ "loss": 0.6933,
207
+ "step": 30000
208
+ },
209
+ {
210
+ "epoch": 1.59,
211
+ "eval_accuracy": 0.5007803538857862,
212
+ "eval_loss": 0.6931193470954895,
213
+ "eval_runtime": 356.4083,
214
+ "eval_samples_per_second": 149.214,
215
+ "eval_steps_per_second": 18.653,
216
+ "step": 30000
217
+ },
218
+ {
219
+ "epoch": 1.65,
220
+ "learning_rate": 0.00014516060525617203,
221
+ "loss": 0.6932,
222
+ "step": 31000
223
+ },
224
+ {
225
+ "epoch": 1.7,
226
+ "learning_rate": 0.00014339085036722414,
227
+ "loss": 0.6932,
228
+ "step": 32000
229
+ },
230
+ {
231
+ "epoch": 1.75,
232
+ "learning_rate": 0.00014162109547827628,
233
+ "loss": 0.6932,
234
+ "step": 33000
235
+ },
236
+ {
237
+ "epoch": 1.81,
238
+ "learning_rate": 0.0001398513405893284,
239
+ "loss": 0.6932,
240
+ "step": 34000
241
+ },
242
+ {
243
+ "epoch": 1.86,
244
+ "learning_rate": 0.00013808335545526944,
245
+ "loss": 0.6932,
246
+ "step": 35000
247
+ },
248
+ {
249
+ "epoch": 1.91,
250
+ "learning_rate": 0.00013631360056632158,
251
+ "loss": 0.6932,
252
+ "step": 36000
253
+ },
254
+ {
255
+ "epoch": 1.96,
256
+ "learning_rate": 0.00013454561543226263,
257
+ "loss": 0.6931,
258
+ "step": 37000
259
+ },
260
+ {
261
+ "epoch": 2.02,
262
+ "learning_rate": 0.00013277586054331476,
263
+ "loss": 0.6932,
264
+ "step": 38000
265
+ },
266
+ {
267
+ "epoch": 2.07,
268
+ "learning_rate": 0.00013100787540925584,
269
+ "loss": 0.6932,
270
+ "step": 39000
271
+ },
272
+ {
273
+ "epoch": 2.12,
274
+ "learning_rate": 0.00012923812052030795,
275
+ "loss": 0.6933,
276
+ "step": 40000
277
+ },
278
+ {
279
+ "epoch": 2.12,
280
+ "eval_accuracy": 0.5161429833963258,
281
+ "eval_loss": 0.6930696368217468,
282
+ "eval_runtime": 359.7266,
283
+ "eval_samples_per_second": 147.837,
284
+ "eval_steps_per_second": 18.481,
285
+ "step": 40000
286
+ },
287
+ {
288
+ "epoch": 2.18,
289
+ "learning_rate": 0.000127470135386249,
290
+ "loss": 0.6932,
291
+ "step": 41000
292
+ },
293
+ {
294
+ "epoch": 2.23,
295
+ "learning_rate": 0.00012570038049730114,
296
+ "loss": 0.6932,
297
+ "step": 42000
298
+ },
299
+ {
300
+ "epoch": 2.28,
301
+ "learning_rate": 0.0001239323953632422,
302
+ "loss": 0.693,
303
+ "step": 43000
304
+ },
305
+ {
306
+ "epoch": 2.34,
307
+ "learning_rate": 0.0001221626404742943,
308
+ "loss": 0.6932,
309
+ "step": 44000
310
+ },
311
+ {
312
+ "epoch": 2.39,
313
+ "learning_rate": 0.00012039465534023538,
314
+ "loss": 0.6931,
315
+ "step": 45000
316
+ },
317
+ {
318
+ "epoch": 2.44,
319
+ "learning_rate": 0.00011862490045128752,
320
+ "loss": 0.6932,
321
+ "step": 46000
322
+ },
323
+ {
324
+ "epoch": 2.5,
325
+ "learning_rate": 0.00011685691531722858,
326
+ "loss": 0.6931,
327
+ "step": 47000
328
+ },
329
+ {
330
+ "epoch": 2.55,
331
+ "learning_rate": 0.00011508716042828069,
332
+ "loss": 0.6932,
333
+ "step": 48000
334
+ },
335
+ {
336
+ "epoch": 2.6,
337
+ "learning_rate": 0.00011331917529422176,
338
+ "loss": 0.6932,
339
+ "step": 49000
340
+ },
341
+ {
342
+ "epoch": 2.65,
343
+ "learning_rate": 0.00011154942040527388,
344
+ "loss": 0.6931,
345
+ "step": 50000
346
+ },
347
+ {
348
+ "epoch": 2.65,
349
+ "eval_accuracy": 0.4991068238656663,
350
+ "eval_loss": 0.6932998895645142,
351
+ "eval_runtime": 359.6843,
352
+ "eval_samples_per_second": 147.855,
353
+ "eval_steps_per_second": 18.483,
354
+ "step": 50000
355
+ },
356
+ {
357
+ "epoch": 2.71,
358
+ "learning_rate": 0.00010978143527121494,
359
+ "loss": 0.6931,
360
+ "step": 51000
361
+ },
362
+ {
363
+ "epoch": 2.76,
364
+ "learning_rate": 0.00010801168038226705,
365
+ "loss": 0.6931,
366
+ "step": 52000
367
+ },
368
+ {
369
+ "epoch": 2.81,
370
+ "learning_rate": 0.00010624369524820812,
371
+ "loss": 0.6929,
372
+ "step": 53000
373
+ },
374
+ {
375
+ "epoch": 2.87,
376
+ "learning_rate": 0.00010447571011414921,
377
+ "loss": 0.6931,
378
+ "step": 54000
379
+ },
380
+ {
381
+ "epoch": 2.92,
382
+ "learning_rate": 0.00010270595522520132,
383
+ "loss": 0.6926,
384
+ "step": 55000
385
+ },
386
+ {
387
+ "epoch": 2.97,
388
+ "learning_rate": 0.00010093620033625344,
389
+ "loss": 0.6914,
390
+ "step": 56000
391
+ },
392
+ {
393
+ "epoch": 3.03,
394
+ "learning_rate": 9.916644544730555e-05,
395
+ "loss": 0.6929,
396
+ "step": 57000
397
+ },
398
+ {
399
+ "epoch": 3.08,
400
+ "learning_rate": 9.740023006813557e-05,
401
+ "loss": 0.6932,
402
+ "step": 58000
403
+ },
404
+ {
405
+ "epoch": 3.13,
406
+ "learning_rate": 9.563578444385452e-05,
407
+ "loss": 0.693,
408
+ "step": 59000
409
+ },
410
+ {
411
+ "epoch": 3.19,
412
+ "learning_rate": 9.386602955490666e-05,
413
+ "loss": 0.6932,
414
+ "step": 60000
415
+ },
416
+ {
417
+ "epoch": 3.19,
418
+ "eval_accuracy": 0.4991068238656663,
419
+ "eval_loss": 0.6932001709938049,
420
+ "eval_runtime": 363.5383,
421
+ "eval_samples_per_second": 146.287,
422
+ "eval_steps_per_second": 18.287,
423
+ "step": 60000
424
+ },
425
+ {
426
+ "epoch": 3.24,
427
+ "learning_rate": 9.209627466595877e-05,
428
+ "loss": 0.693,
429
+ "step": 61000
430
+ },
431
+ {
432
+ "epoch": 3.29,
433
+ "learning_rate": 9.032651977701089e-05,
434
+ "loss": 0.6931,
435
+ "step": 62000
436
+ },
437
+ {
438
+ "epoch": 3.34,
439
+ "learning_rate": 8.8556764888063e-05,
440
+ "loss": 0.6912,
441
+ "step": 63000
442
+ },
443
+ {
444
+ "epoch": 3.4,
445
+ "learning_rate": 8.678700999911514e-05,
446
+ "loss": 0.6923,
447
+ "step": 64000
448
+ },
449
+ {
450
+ "epoch": 3.45,
451
+ "learning_rate": 8.50190248650562e-05,
452
+ "loss": 0.6864,
453
+ "step": 65000
454
+ },
455
+ {
456
+ "epoch": 3.5,
457
+ "learning_rate": 8.324926997610831e-05,
458
+ "loss": 0.6833,
459
+ "step": 66000
460
+ },
461
+ {
462
+ "epoch": 3.56,
463
+ "learning_rate": 8.148128484204938e-05,
464
+ "loss": 0.6827,
465
+ "step": 67000
466
+ },
467
+ {
468
+ "epoch": 3.61,
469
+ "learning_rate": 7.97115299531015e-05,
470
+ "loss": 0.6778,
471
+ "step": 68000
472
+ },
473
+ {
474
+ "epoch": 3.66,
475
+ "learning_rate": 7.794177506415362e-05,
476
+ "loss": 0.6766,
477
+ "step": 69000
478
+ },
479
+ {
480
+ "epoch": 3.72,
481
+ "learning_rate": 7.617202017520573e-05,
482
+ "loss": 0.6746,
483
+ "step": 70000
484
+ },
485
+ {
486
+ "epoch": 3.72,
487
+ "eval_accuracy": 0.5796054982042459,
488
+ "eval_loss": 0.6725409030914307,
489
+ "eval_runtime": 362.6905,
490
+ "eval_samples_per_second": 146.629,
491
+ "eval_steps_per_second": 18.33,
492
+ "step": 70000
493
+ },
494
+ {
495
+ "epoch": 3.77,
496
+ "learning_rate": 7.440226528625786e-05,
497
+ "loss": 0.6729,
498
+ "step": 71000
499
+ },
500
+ {
501
+ "epoch": 3.82,
502
+ "learning_rate": 7.263251039730997e-05,
503
+ "loss": 0.6683,
504
+ "step": 72000
505
+ },
506
+ {
507
+ "epoch": 3.88,
508
+ "learning_rate": 7.08627555083621e-05,
509
+ "loss": 0.6649,
510
+ "step": 73000
511
+ },
512
+ {
513
+ "epoch": 3.93,
514
+ "learning_rate": 6.909300061941421e-05,
515
+ "loss": 0.666,
516
+ "step": 74000
517
+ },
518
+ {
519
+ "epoch": 3.98,
520
+ "learning_rate": 6.732324573046634e-05,
521
+ "loss": 0.6647,
522
+ "step": 75000
523
+ },
524
+ {
525
+ "epoch": 4.04,
526
+ "learning_rate": 6.555349084151845e-05,
527
+ "loss": 0.6674,
528
+ "step": 76000
529
+ },
530
+ {
531
+ "epoch": 4.09,
532
+ "learning_rate": 6.378550570745952e-05,
533
+ "loss": 0.6645,
534
+ "step": 77000
535
+ },
536
+ {
537
+ "epoch": 4.14,
538
+ "learning_rate": 6.201575081851165e-05,
539
+ "loss": 0.6644,
540
+ "step": 78000
541
+ },
542
+ {
543
+ "epoch": 4.19,
544
+ "learning_rate": 6.024599592956376e-05,
545
+ "loss": 0.6605,
546
+ "step": 79000
547
+ },
548
+ {
549
+ "epoch": 4.25,
550
+ "learning_rate": 5.847624104061587e-05,
551
+ "loss": 0.6582,
552
+ "step": 80000
553
+ },
554
+ {
555
+ "epoch": 4.25,
556
+ "eval_accuracy": 0.6032229555668378,
557
+ "eval_loss": 0.6613653898239136,
558
+ "eval_runtime": 359.5282,
559
+ "eval_samples_per_second": 147.919,
560
+ "eval_steps_per_second": 18.491,
561
+ "step": 80000
562
+ },
563
+ {
564
+ "epoch": 4.3,
565
+ "learning_rate": 5.67100256614459e-05,
566
+ "loss": 0.6565,
567
+ "step": 81000
568
+ },
569
+ {
570
+ "epoch": 4.35,
571
+ "learning_rate": 5.4942040527386965e-05,
572
+ "loss": 0.6561,
573
+ "step": 82000
574
+ },
575
+ {
576
+ "epoch": 4.41,
577
+ "learning_rate": 5.317228563843908e-05,
578
+ "loss": 0.6562,
579
+ "step": 83000
580
+ },
581
+ {
582
+ "epoch": 4.46,
583
+ "learning_rate": 5.14025307494912e-05,
584
+ "loss": 0.6558,
585
+ "step": 84000
586
+ },
587
+ {
588
+ "epoch": 4.51,
589
+ "learning_rate": 4.963277586054332e-05,
590
+ "loss": 0.6553,
591
+ "step": 85000
592
+ },
593
+ {
594
+ "epoch": 4.57,
595
+ "learning_rate": 4.786302097159544e-05,
596
+ "loss": 0.652,
597
+ "step": 86000
598
+ },
599
+ {
600
+ "epoch": 4.62,
601
+ "learning_rate": 4.60950358375365e-05,
602
+ "loss": 0.6519,
603
+ "step": 87000
604
+ },
605
+ {
606
+ "epoch": 4.67,
607
+ "learning_rate": 4.432528094858862e-05,
608
+ "loss": 0.6475,
609
+ "step": 88000
610
+ },
611
+ {
612
+ "epoch": 4.73,
613
+ "learning_rate": 4.255552605964074e-05,
614
+ "loss": 0.6517,
615
+ "step": 89000
616
+ },
617
+ {
618
+ "epoch": 4.78,
619
+ "learning_rate": 4.078754092558181e-05,
620
+ "loss": 0.6455,
621
+ "step": 90000
622
+ },
623
+ {
624
+ "epoch": 4.78,
625
+ "eval_accuracy": 0.6132265282713751,
626
+ "eval_loss": 0.6466211676597595,
627
+ "eval_runtime": 358.035,
628
+ "eval_samples_per_second": 148.536,
629
+ "eval_steps_per_second": 18.568,
630
+ "step": 90000
631
+ },
632
+ {
633
+ "epoch": 4.83,
634
+ "learning_rate": 3.901778603663393e-05,
635
+ "loss": 0.6411,
636
+ "step": 91000
637
+ },
638
+ {
639
+ "epoch": 4.88,
640
+ "learning_rate": 3.7251570657463943e-05,
641
+ "loss": 0.6418,
642
+ "step": 92000
643
+ },
644
+ {
645
+ "epoch": 4.94,
646
+ "learning_rate": 3.548181576851607e-05,
647
+ "loss": 0.6419,
648
+ "step": 93000
649
+ },
650
+ {
651
+ "epoch": 4.99,
652
+ "learning_rate": 3.371206087956818e-05,
653
+ "loss": 0.6403,
654
+ "step": 94000
655
+ },
656
+ {
657
+ "epoch": 5.04,
658
+ "learning_rate": 3.194407574550925e-05,
659
+ "loss": 0.6358,
660
+ "step": 95000
661
+ },
662
+ {
663
+ "epoch": 5.1,
664
+ "learning_rate": 3.0176090611450313e-05,
665
+ "loss": 0.633,
666
+ "step": 96000
667
+ },
668
+ {
669
+ "epoch": 5.15,
670
+ "learning_rate": 2.8406335722502436e-05,
671
+ "loss": 0.6315,
672
+ "step": 97000
673
+ },
674
+ {
675
+ "epoch": 5.2,
676
+ "learning_rate": 2.6636580833554553e-05,
677
+ "loss": 0.6315,
678
+ "step": 98000
679
+ },
680
+ {
681
+ "epoch": 5.26,
682
+ "learning_rate": 2.4866825944606673e-05,
683
+ "loss": 0.6284,
684
+ "step": 99000
685
+ },
686
+ {
687
+ "epoch": 5.31,
688
+ "learning_rate": 2.309884081054774e-05,
689
+ "loss": 0.6256,
690
+ "step": 100000
691
+ },
692
+ {
693
+ "epoch": 5.31,
694
+ "eval_accuracy": 0.6391004306049153,
695
+ "eval_loss": 0.6324899196624756,
696
+ "eval_runtime": 358.7004,
697
+ "eval_samples_per_second": 148.26,
698
+ "eval_steps_per_second": 18.534,
699
+ "step": 100000
700
+ },
701
+ {
702
+ "epoch": 5.36,
703
+ "learning_rate": 2.1329085921599857e-05,
704
+ "loss": 0.6267,
705
+ "step": 101000
706
+ },
707
+ {
708
+ "epoch": 5.42,
709
+ "learning_rate": 1.9561100787540926e-05,
710
+ "loss": 0.6261,
711
+ "step": 102000
712
+ },
713
+ {
714
+ "epoch": 5.47,
715
+ "learning_rate": 1.7791345898593046e-05,
716
+ "loss": 0.6263,
717
+ "step": 103000
718
+ },
719
+ {
720
+ "epoch": 5.52,
721
+ "learning_rate": 1.6021591009645165e-05,
722
+ "loss": 0.6233,
723
+ "step": 104000
724
+ },
725
+ {
726
+ "epoch": 5.57,
727
+ "learning_rate": 1.4253605875586232e-05,
728
+ "loss": 0.6206,
729
+ "step": 105000
730
+ },
731
+ {
732
+ "epoch": 5.63,
733
+ "learning_rate": 1.2483850986638352e-05,
734
+ "loss": 0.6205,
735
+ "step": 106000
736
+ },
737
+ {
738
+ "epoch": 5.68,
739
+ "learning_rate": 1.071409609769047e-05,
740
+ "loss": 0.6173,
741
+ "step": 107000
742
+ },
743
+ {
744
+ "epoch": 5.73,
745
+ "learning_rate": 8.944341208742588e-06,
746
+ "loss": 0.6188,
747
+ "step": 108000
748
+ },
749
+ {
750
+ "epoch": 5.79,
751
+ "learning_rate": 7.178125829572605e-06,
752
+ "loss": 0.6193,
753
+ "step": 109000
754
+ },
755
+ {
756
+ "epoch": 5.84,
757
+ "learning_rate": 5.408370940624724e-06,
758
+ "loss": 0.6144,
759
+ "step": 110000
760
+ },
761
+ {
762
+ "epoch": 5.84,
763
+ "eval_accuracy": 0.6535040710028017,
764
+ "eval_loss": 0.6181166768074036,
765
+ "eval_runtime": 370.6733,
766
+ "eval_samples_per_second": 143.471,
767
+ "eval_steps_per_second": 17.935,
768
+ "step": 110000
769
+ },
770
+ {
771
+ "epoch": 5.89,
772
+ "learning_rate": 3.638616051676843e-06,
773
+ "loss": 0.6189,
774
+ "step": 111000
775
+ },
776
+ {
777
+ "epoch": 5.95,
778
+ "learning_rate": 1.8688611627289622e-06,
779
+ "loss": 0.6177,
780
+ "step": 112000
781
+ },
782
+ {
783
+ "epoch": 6.0,
784
+ "learning_rate": 9.910627378108132e-08,
785
+ "loss": 0.6149,
786
+ "step": 113000
787
+ },
788
+ {
789
+ "epoch": 6.0,
790
+ "step": 113010,
791
+ "total_flos": 1.40117450989583e+20,
792
+ "train_loss": 0.6729164371932674,
793
+ "train_runtime": 20561.1299,
794
+ "train_samples_per_second": 87.94,
795
+ "train_steps_per_second": 5.496
796
+ }
797
+ ],
798
+ "logging_steps": 1000,
799
+ "max_steps": 113010,
800
+ "num_input_tokens_seen": 0,
801
+ "num_train_epochs": 6,
802
+ "save_steps": 10000,
803
+ "total_flos": 1.40117450989583e+20,
804
+ "train_batch_size": 16,
805
+ "trial_name": null,
806
+ "trial_params": null
807
+ }