vuongnhathien commited on
Commit
1c5939f
1 Parent(s): 148d3ec

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.9391650099403579
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/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.2472
36
- - Accuracy: 0.9392
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9406746031746032
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/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.2411
36
+ - Accuracy: 0.9407
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1.301428412334932e+19,
4
+ "train_loss": 0.4344568561488005,
5
+ "train_runtime": 10707.0666,
6
+ "train_samples_per_second": 16.42,
7
+ "train_steps_per_second": 1.026
8
+ }
runs/May29_14-25-59_98d4b90d4047/events.out.tfevents.1717003707.98d4b90d4047.24.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:373ab08f3b60e24fe496f405f6050abb2569a09ac04b4809056790c8aae3aa7c
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1.301428412334932e+19,
4
+ "train_loss": 0.4344568561488005,
5
+ "train_runtime": 10707.0666,
6
+ "train_samples_per_second": 16.42,
7
+ "train_steps_per_second": 1.026
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,883 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.24724383652210236,
3
+ "best_model_checkpoint": "./convnext-tiny-new-8e-5/checkpoint-10990",
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 10990,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09,
13
+ "grad_norm": 29.175199508666992,
14
+ "learning_rate": 7.998365801595384e-05,
15
+ "loss": 2.5434,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.18,
20
+ "grad_norm": 22.305095672607422,
21
+ "learning_rate": 7.993464541683746e-05,
22
+ "loss": 1.4809,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.27,
27
+ "grad_norm": 20.301076889038086,
28
+ "learning_rate": 7.98530022508065e-05,
29
+ "loss": 1.2073,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.36,
34
+ "grad_norm": 33.55647277832031,
35
+ "learning_rate": 7.973879522842682e-05,
36
+ "loss": 1.0004,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.45,
41
+ "grad_norm": 17.641550064086914,
42
+ "learning_rate": 7.959211766816531e-05,
43
+ "loss": 0.9589,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.55,
48
+ "grad_norm": 32.2988395690918,
49
+ "learning_rate": 7.941308942013942e-05,
50
+ "loss": 0.898,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.64,
55
+ "grad_norm": 26.12941551208496,
56
+ "learning_rate": 7.920185676818782e-05,
57
+ "loss": 0.8587,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.73,
62
+ "grad_norm": 24.61394500732422,
63
+ "learning_rate": 7.895859231034193e-05,
64
+ "loss": 0.8375,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.82,
69
+ "grad_norm": 18.921947479248047,
70
+ "learning_rate": 7.86834948177962e-05,
71
+ "loss": 0.7619,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.91,
76
+ "grad_norm": 25.84251594543457,
77
+ "learning_rate": 7.837678907249235e-05,
78
+ "loss": 0.7951,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_accuracy": 0.8675944333996024,
84
+ "eval_loss": 0.46665650606155396,
85
+ "eval_runtime": 70.753,
86
+ "eval_samples_per_second": 35.546,
87
+ "eval_steps_per_second": 2.233,
88
+ "step": 1099
89
+ },
90
+ {
91
+ "epoch": 1.0,
92
+ "grad_norm": 23.708938598632812,
93
+ "learning_rate": 7.80387256834502e-05,
94
+ "loss": 0.818,
95
+ "step": 1100
96
+ },
97
+ {
98
+ "epoch": 1.09,
99
+ "grad_norm": 20.49905776977539,
100
+ "learning_rate": 7.766958088199526e-05,
101
+ "loss": 0.6782,
102
+ "step": 1200
103
+ },
104
+ {
105
+ "epoch": 1.18,
106
+ "grad_norm": 17.50190544128418,
107
+ "learning_rate": 7.726965629605035e-05,
108
+ "loss": 0.6853,
109
+ "step": 1300
110
+ },
111
+ {
112
+ "epoch": 1.27,
113
+ "grad_norm": 13.767265319824219,
114
+ "learning_rate": 7.683927870367564e-05,
115
+ "loss": 0.6206,
116
+ "step": 1400
117
+ },
118
+ {
119
+ "epoch": 1.36,
120
+ "grad_norm": 16.55619239807129,
121
+ "learning_rate": 7.637879976605853e-05,
122
+ "loss": 0.626,
123
+ "step": 1500
124
+ },
125
+ {
126
+ "epoch": 1.46,
127
+ "grad_norm": 17.5218448638916,
128
+ "learning_rate": 7.588859574017165e-05,
129
+ "loss": 0.6076,
130
+ "step": 1600
131
+ },
132
+ {
133
+ "epoch": 1.55,
134
+ "grad_norm": 15.644243240356445,
135
+ "learning_rate": 7.53690671713335e-05,
136
+ "loss": 0.6628,
137
+ "step": 1700
138
+ },
139
+ {
140
+ "epoch": 1.64,
141
+ "grad_norm": 27.80687141418457,
142
+ "learning_rate": 7.482063856592323e-05,
143
+ "loss": 0.6677,
144
+ "step": 1800
145
+ },
146
+ {
147
+ "epoch": 1.73,
148
+ "grad_norm": 18.660202026367188,
149
+ "learning_rate": 7.42437580445169e-05,
150
+ "loss": 0.6035,
151
+ "step": 1900
152
+ },
153
+ {
154
+ "epoch": 1.82,
155
+ "grad_norm": 14.59585189819336,
156
+ "learning_rate": 7.363889697572835e-05,
157
+ "loss": 0.5851,
158
+ "step": 2000
159
+ },
160
+ {
161
+ "epoch": 1.91,
162
+ "grad_norm": 26.08392333984375,
163
+ "learning_rate": 7.300654959105439e-05,
164
+ "loss": 0.6475,
165
+ "step": 2100
166
+ },
167
+ {
168
+ "epoch": 2.0,
169
+ "eval_accuracy": 0.8946322067594433,
170
+ "eval_loss": 0.3611379563808441,
171
+ "eval_runtime": 70.7224,
172
+ "eval_samples_per_second": 35.562,
173
+ "eval_steps_per_second": 2.234,
174
+ "step": 2198
175
+ },
176
+ {
177
+ "epoch": 2.0,
178
+ "grad_norm": 29.798437118530273,
179
+ "learning_rate": 7.234723258103863e-05,
180
+ "loss": 0.6025,
181
+ "step": 2200
182
+ },
183
+ {
184
+ "epoch": 2.09,
185
+ "grad_norm": 12.655051231384277,
186
+ "learning_rate": 7.1661484673084e-05,
187
+ "loss": 0.5006,
188
+ "step": 2300
189
+ },
190
+ {
191
+ "epoch": 2.18,
192
+ "grad_norm": 20.051542282104492,
193
+ "learning_rate": 7.094986619125911e-05,
194
+ "loss": 0.584,
195
+ "step": 2400
196
+ },
197
+ {
198
+ "epoch": 2.27,
199
+ "grad_norm": 18.924829483032227,
200
+ "learning_rate": 7.02129585984578e-05,
201
+ "loss": 0.5216,
202
+ "step": 2500
203
+ },
204
+ {
205
+ "epoch": 2.37,
206
+ "grad_norm": 10.966821670532227,
207
+ "learning_rate": 6.945136402128628e-05,
208
+ "loss": 0.5582,
209
+ "step": 2600
210
+ },
211
+ {
212
+ "epoch": 2.46,
213
+ "grad_norm": 19.123348236083984,
214
+ "learning_rate": 6.86657047580661e-05,
215
+ "loss": 0.4905,
216
+ "step": 2700
217
+ },
218
+ {
219
+ "epoch": 2.55,
220
+ "grad_norm": 18.773359298706055,
221
+ "learning_rate": 6.785662277035447e-05,
222
+ "loss": 0.5437,
223
+ "step": 2800
224
+ },
225
+ {
226
+ "epoch": 2.64,
227
+ "grad_norm": 24.286714553833008,
228
+ "learning_rate": 6.702477915839819e-05,
229
+ "loss": 0.5196,
230
+ "step": 2900
231
+ },
232
+ {
233
+ "epoch": 2.73,
234
+ "grad_norm": 10.000174522399902,
235
+ "learning_rate": 6.617085362094902e-05,
236
+ "loss": 0.5377,
237
+ "step": 3000
238
+ },
239
+ {
240
+ "epoch": 2.82,
241
+ "grad_norm": 13.052635192871094,
242
+ "learning_rate": 6.529554389988243e-05,
243
+ "loss": 0.5193,
244
+ "step": 3100
245
+ },
246
+ {
247
+ "epoch": 2.91,
248
+ "grad_norm": 39.736412048339844,
249
+ "learning_rate": 6.43995652100733e-05,
250
+ "loss": 0.4676,
251
+ "step": 3200
252
+ },
253
+ {
254
+ "epoch": 3.0,
255
+ "eval_accuracy": 0.8990059642147117,
256
+ "eval_loss": 0.3682761788368225,
257
+ "eval_runtime": 70.3285,
258
+ "eval_samples_per_second": 35.761,
259
+ "eval_steps_per_second": 2.247,
260
+ "step": 3297
261
+ },
262
+ {
263
+ "epoch": 3.0,
264
+ "grad_norm": 11.428489685058594,
265
+ "learning_rate": 6.348364965499434e-05,
266
+ "loss": 0.5334,
267
+ "step": 3300
268
+ },
269
+ {
270
+ "epoch": 3.09,
271
+ "grad_norm": 6.339554786682129,
272
+ "learning_rate": 6.2548545628515e-05,
273
+ "loss": 0.4044,
274
+ "step": 3400
275
+ },
276
+ {
277
+ "epoch": 3.18,
278
+ "grad_norm": 11.18062973022461,
279
+ "learning_rate": 6.159501720338938e-05,
280
+ "loss": 0.4676,
281
+ "step": 3500
282
+ },
283
+ {
284
+ "epoch": 3.28,
285
+ "grad_norm": 21.28518295288086,
286
+ "learning_rate": 6.062384350693302e-05,
287
+ "loss": 0.4708,
288
+ "step": 3600
289
+ },
290
+ {
291
+ "epoch": 3.37,
292
+ "grad_norm": 20.110240936279297,
293
+ "learning_rate": 5.9635818084398626e-05,
294
+ "loss": 0.3822,
295
+ "step": 3700
296
+ },
297
+ {
298
+ "epoch": 3.46,
299
+ "grad_norm": 19.29351806640625,
300
+ "learning_rate": 5.86317482505708e-05,
301
+ "loss": 0.4701,
302
+ "step": 3800
303
+ },
304
+ {
305
+ "epoch": 3.55,
306
+ "grad_norm": 15.384368896484375,
307
+ "learning_rate": 5.7612454430109804e-05,
308
+ "loss": 0.4838,
309
+ "step": 3900
310
+ },
311
+ {
312
+ "epoch": 3.64,
313
+ "grad_norm": 12.109505653381348,
314
+ "learning_rate": 5.657876948718328e-05,
315
+ "loss": 0.4809,
316
+ "step": 4000
317
+ },
318
+ {
319
+ "epoch": 3.73,
320
+ "grad_norm": 14.05909538269043,
321
+ "learning_rate": 5.5531538044933525e-05,
322
+ "loss": 0.4506,
323
+ "step": 4100
324
+ },
325
+ {
326
+ "epoch": 3.82,
327
+ "grad_norm": 4.24497652053833,
328
+ "learning_rate": 5.447161579533662e-05,
329
+ "loss": 0.4336,
330
+ "step": 4200
331
+ },
332
+ {
333
+ "epoch": 3.91,
334
+ "grad_norm": 35.757415771484375,
335
+ "learning_rate": 5.339986880001724e-05,
336
+ "loss": 0.4181,
337
+ "step": 4300
338
+ },
339
+ {
340
+ "epoch": 4.0,
341
+ "eval_accuracy": 0.9240556660039762,
342
+ "eval_loss": 0.28567156195640564,
343
+ "eval_runtime": 70.8856,
344
+ "eval_samples_per_second": 35.48,
345
+ "eval_steps_per_second": 2.229,
346
+ "step": 4396
347
+ },
348
+ {
349
+ "epoch": 4.0,
350
+ "grad_norm": 9.548322677612305,
351
+ "learning_rate": 5.2317172782590326e-05,
352
+ "loss": 0.3696,
353
+ "step": 4400
354
+ },
355
+ {
356
+ "epoch": 4.09,
357
+ "grad_norm": 14.217641830444336,
358
+ "learning_rate": 5.122441241310807e-05,
359
+ "loss": 0.3903,
360
+ "step": 4500
361
+ },
362
+ {
363
+ "epoch": 4.19,
364
+ "grad_norm": 19.054006576538086,
365
+ "learning_rate": 5.012248058519667e-05,
366
+ "loss": 0.3971,
367
+ "step": 4600
368
+ },
369
+ {
370
+ "epoch": 4.28,
371
+ "grad_norm": 32.285396575927734,
372
+ "learning_rate": 4.9012277686473734e-05,
373
+ "loss": 0.3846,
374
+ "step": 4700
375
+ },
376
+ {
377
+ "epoch": 4.37,
378
+ "grad_norm": 17.186689376831055,
379
+ "learning_rate": 4.789471086284219e-05,
380
+ "loss": 0.3451,
381
+ "step": 4800
382
+ },
383
+ {
384
+ "epoch": 4.46,
385
+ "grad_norm": 17.26174545288086,
386
+ "learning_rate": 4.6770693277262165e-05,
387
+ "loss": 0.3571,
388
+ "step": 4900
389
+ },
390
+ {
391
+ "epoch": 4.55,
392
+ "grad_norm": 9.664530754089355,
393
+ "learning_rate": 4.5641143363606216e-05,
394
+ "loss": 0.3848,
395
+ "step": 5000
396
+ },
397
+ {
398
+ "epoch": 4.64,
399
+ "grad_norm": 22.393651962280273,
400
+ "learning_rate": 4.450698407620776e-05,
401
+ "loss": 0.3829,
402
+ "step": 5100
403
+ },
404
+ {
405
+ "epoch": 4.73,
406
+ "grad_norm": 17.044584274291992,
407
+ "learning_rate": 4.33691421357158e-05,
408
+ "loss": 0.4061,
409
+ "step": 5200
410
+ },
411
+ {
412
+ "epoch": 4.82,
413
+ "grad_norm": 18.844833374023438,
414
+ "learning_rate": 4.22285472718723e-05,
415
+ "loss": 0.3932,
416
+ "step": 5300
417
+ },
418
+ {
419
+ "epoch": 4.91,
420
+ "grad_norm": 9.084076881408691,
421
+ "learning_rate": 4.108613146383063e-05,
422
+ "loss": 0.3648,
423
+ "step": 5400
424
+ },
425
+ {
426
+ "epoch": 5.0,
427
+ "eval_accuracy": 0.9149105367793241,
428
+ "eval_loss": 0.29945191740989685,
429
+ "eval_runtime": 70.985,
430
+ "eval_samples_per_second": 35.43,
431
+ "eval_steps_per_second": 2.226,
432
+ "step": 5495
433
+ },
434
+ {
435
+ "epoch": 5.0,
436
+ "grad_norm": 15.977156639099121,
437
+ "learning_rate": 3.994282817863628e-05,
438
+ "loss": 0.3724,
439
+ "step": 5500
440
+ },
441
+ {
442
+ "epoch": 5.1,
443
+ "grad_norm": 24.990800857543945,
444
+ "learning_rate": 3.879957160849155e-05,
445
+ "loss": 0.3132,
446
+ "step": 5600
447
+ },
448
+ {
449
+ "epoch": 5.19,
450
+ "grad_norm": 18.232803344726562,
451
+ "learning_rate": 3.7657295907427964e-05,
452
+ "loss": 0.3289,
453
+ "step": 5700
454
+ },
455
+ {
456
+ "epoch": 5.28,
457
+ "grad_norm": 11.785863876342773,
458
+ "learning_rate": 3.651693442800964e-05,
459
+ "loss": 0.3282,
460
+ "step": 5800
461
+ },
462
+ {
463
+ "epoch": 5.37,
464
+ "grad_norm": 15.59240436553955,
465
+ "learning_rate": 3.537941895869179e-05,
466
+ "loss": 0.3132,
467
+ "step": 5900
468
+ },
469
+ {
470
+ "epoch": 5.46,
471
+ "grad_norm": 17.803436279296875,
472
+ "learning_rate": 3.4245678962457005e-05,
473
+ "loss": 0.3315,
474
+ "step": 6000
475
+ },
476
+ {
477
+ "epoch": 5.55,
478
+ "grad_norm": 18.81922149658203,
479
+ "learning_rate": 3.31166408173518e-05,
480
+ "loss": 0.3341,
481
+ "step": 6100
482
+ },
483
+ {
484
+ "epoch": 5.64,
485
+ "grad_norm": 16.756589889526367,
486
+ "learning_rate": 3.199322705954396e-05,
487
+ "loss": 0.2879,
488
+ "step": 6200
489
+ },
490
+ {
491
+ "epoch": 5.73,
492
+ "grad_norm": 24.542482376098633,
493
+ "learning_rate": 3.087635562951882e-05,
494
+ "loss": 0.3407,
495
+ "step": 6300
496
+ },
497
+ {
498
+ "epoch": 5.82,
499
+ "grad_norm": 13.775747299194336,
500
+ "learning_rate": 2.9766939122030964e-05,
501
+ "loss": 0.3307,
502
+ "step": 6400
503
+ },
504
+ {
505
+ "epoch": 5.91,
506
+ "grad_norm": 21.864892959594727,
507
+ "learning_rate": 2.866588404042364e-05,
508
+ "loss": 0.3241,
509
+ "step": 6500
510
+ },
511
+ {
512
+ "epoch": 6.0,
513
+ "eval_accuracy": 0.9312127236580517,
514
+ "eval_loss": 0.27873358130455017,
515
+ "eval_runtime": 70.6524,
516
+ "eval_samples_per_second": 35.597,
517
+ "eval_steps_per_second": 2.236,
518
+ "step": 6594
519
+ },
520
+ {
521
+ "epoch": 6.01,
522
+ "grad_norm": 11.553291320800781,
523
+ "learning_rate": 2.757409005592578e-05,
524
+ "loss": 0.338,
525
+ "step": 6600
526
+ },
527
+ {
528
+ "epoch": 6.1,
529
+ "grad_norm": 28.648635864257812,
530
+ "learning_rate": 2.6492449272531175e-05,
531
+ "loss": 0.2619,
532
+ "step": 6700
533
+ },
534
+ {
535
+ "epoch": 6.19,
536
+ "grad_norm": 25.280593872070312,
537
+ "learning_rate": 2.5421845498061117e-05,
538
+ "loss": 0.3074,
539
+ "step": 6800
540
+ },
541
+ {
542
+ "epoch": 6.28,
543
+ "grad_norm": 14.692756652832031,
544
+ "learning_rate": 2.4363153522005743e-05,
545
+ "loss": 0.317,
546
+ "step": 6900
547
+ },
548
+ {
549
+ "epoch": 6.37,
550
+ "grad_norm": 6.455191135406494,
551
+ "learning_rate": 2.3317238400734145e-05,
552
+ "loss": 0.2545,
553
+ "step": 7000
554
+ },
555
+ {
556
+ "epoch": 6.46,
557
+ "grad_norm": 10.77437973022461,
558
+ "learning_rate": 2.228495475065759e-05,
559
+ "loss": 0.3033,
560
+ "step": 7100
561
+ },
562
+ {
563
+ "epoch": 6.55,
564
+ "grad_norm": 5.588379383087158,
565
+ "learning_rate": 2.1267146049923167e-05,
566
+ "loss": 0.2548,
567
+ "step": 7200
568
+ },
569
+ {
570
+ "epoch": 6.64,
571
+ "grad_norm": 11.461979866027832,
572
+ "learning_rate": 2.02646439492083e-05,
573
+ "loss": 0.26,
574
+ "step": 7300
575
+ },
576
+ {
577
+ "epoch": 6.73,
578
+ "grad_norm": 32.82159423828125,
579
+ "learning_rate": 1.9278267592179803e-05,
580
+ "loss": 0.2757,
581
+ "step": 7400
582
+ },
583
+ {
584
+ "epoch": 6.82,
585
+ "grad_norm": 7.980381965637207,
586
+ "learning_rate": 1.8308822946172174e-05,
587
+ "loss": 0.2665,
588
+ "step": 7500
589
+ },
590
+ {
591
+ "epoch": 6.92,
592
+ "grad_norm": 1.7043112516403198,
593
+ "learning_rate": 1.7357102143632386e-05,
594
+ "loss": 0.2845,
595
+ "step": 7600
596
+ },
597
+ {
598
+ "epoch": 7.0,
599
+ "eval_accuracy": 0.9351888667992048,
600
+ "eval_loss": 0.2659090757369995,
601
+ "eval_runtime": 70.8922,
602
+ "eval_samples_per_second": 35.476,
603
+ "eval_steps_per_second": 2.229,
604
+ "step": 7693
605
+ },
606
+ {
607
+ "epoch": 7.01,
608
+ "grad_norm": 27.45222282409668,
609
+ "learning_rate": 1.6423882834868976e-05,
610
+ "loss": 0.2111,
611
+ "step": 7700
612
+ },
613
+ {
614
+ "epoch": 7.1,
615
+ "grad_norm": 24.539175033569336,
616
+ "learning_rate": 1.550992755263471e-05,
617
+ "loss": 0.2432,
618
+ "step": 7800
619
+ },
620
+ {
621
+ "epoch": 7.19,
622
+ "grad_norm": 12.749982833862305,
623
+ "learning_rate": 1.4615983089061678e-05,
624
+ "loss": 0.2416,
625
+ "step": 7900
626
+ },
627
+ {
628
+ "epoch": 7.28,
629
+ "grad_norm": 7.099791049957275,
630
+ "learning_rate": 1.3742779885457966e-05,
631
+ "loss": 0.2546,
632
+ "step": 8000
633
+ },
634
+ {
635
+ "epoch": 7.37,
636
+ "grad_norm": 17.301631927490234,
637
+ "learning_rate": 1.2891031435464663e-05,
638
+ "loss": 0.2551,
639
+ "step": 8100
640
+ },
641
+ {
642
+ "epoch": 7.46,
643
+ "grad_norm": 4.71995735168457,
644
+ "learning_rate": 1.206143370206086e-05,
645
+ "loss": 0.2446,
646
+ "step": 8200
647
+ },
648
+ {
649
+ "epoch": 7.55,
650
+ "grad_norm": 26.869333267211914,
651
+ "learning_rate": 1.1254664548892755e-05,
652
+ "loss": 0.2178,
653
+ "step": 8300
654
+ },
655
+ {
656
+ "epoch": 7.64,
657
+ "grad_norm": 10.9271821975708,
658
+ "learning_rate": 1.0471383186391817e-05,
659
+ "loss": 0.2505,
660
+ "step": 8400
661
+ },
662
+ {
663
+ "epoch": 7.73,
664
+ "grad_norm": 2.89125657081604,
665
+ "learning_rate": 9.712229633134562e-06,
666
+ "loss": 0.2039,
667
+ "step": 8500
668
+ },
669
+ {
670
+ "epoch": 7.83,
671
+ "grad_norm": 24.978134155273438,
672
+ "learning_rate": 8.977824192883772e-06,
673
+ "loss": 0.2622,
674
+ "step": 8600
675
+ },
676
+ {
677
+ "epoch": 7.92,
678
+ "grad_norm": 4.031610488891602,
679
+ "learning_rate": 8.26876694773886e-06,
680
+ "loss": 0.2132,
681
+ "step": 8700
682
+ },
683
+ {
684
+ "epoch": 8.0,
685
+ "eval_accuracy": 0.9359840954274354,
686
+ "eval_loss": 0.25515902042388916,
687
+ "eval_runtime": 70.3386,
688
+ "eval_samples_per_second": 35.756,
689
+ "eval_steps_per_second": 2.246,
690
+ "step": 8792
691
+ },
692
+ {
693
+ "epoch": 8.01,
694
+ "grad_norm": 12.905261993408203,
695
+ "learning_rate": 7.5856372678091964e-06,
696
+ "loss": 0.2099,
697
+ "step": 8800
698
+ },
699
+ {
700
+ "epoch": 8.1,
701
+ "grad_norm": 14.154178619384766,
702
+ "learning_rate": 6.928993337811354e-06,
703
+ "loss": 0.2228,
704
+ "step": 8900
705
+ },
706
+ {
707
+ "epoch": 8.19,
708
+ "grad_norm": 4.56654167175293,
709
+ "learning_rate": 6.29937170097672e-06,
710
+ "loss": 0.2123,
711
+ "step": 9000
712
+ },
713
+ {
714
+ "epoch": 8.28,
715
+ "grad_norm": 7.129326820373535,
716
+ "learning_rate": 5.697286820642514e-06,
717
+ "loss": 0.182,
718
+ "step": 9100
719
+ },
720
+ {
721
+ "epoch": 8.37,
722
+ "grad_norm": 4.556196212768555,
723
+ "learning_rate": 5.123230659884178e-06,
724
+ "loss": 0.2376,
725
+ "step": 9200
726
+ },
727
+ {
728
+ "epoch": 8.46,
729
+ "grad_norm": 2.216639518737793,
730
+ "learning_rate": 4.577672279532746e-06,
731
+ "loss": 0.19,
732
+ "step": 9300
733
+ },
734
+ {
735
+ "epoch": 8.55,
736
+ "grad_norm": 7.883602142333984,
737
+ "learning_rate": 4.061057454905615e-06,
738
+ "loss": 0.222,
739
+ "step": 9400
740
+ },
741
+ {
742
+ "epoch": 8.64,
743
+ "grad_norm": 13.847503662109375,
744
+ "learning_rate": 3.573808311563891e-06,
745
+ "loss": 0.2279,
746
+ "step": 9500
747
+ },
748
+ {
749
+ "epoch": 8.74,
750
+ "grad_norm": 8.522872924804688,
751
+ "learning_rate": 3.116322980393922e-06,
752
+ "loss": 0.2201,
753
+ "step": 9600
754
+ },
755
+ {
756
+ "epoch": 8.83,
757
+ "grad_norm": 12.57330322265625,
758
+ "learning_rate": 2.68897527229488e-06,
759
+ "loss": 0.2548,
760
+ "step": 9700
761
+ },
762
+ {
763
+ "epoch": 8.92,
764
+ "grad_norm": 34.16948318481445,
765
+ "learning_rate": 2.2921143727381525e-06,
766
+ "loss": 0.177,
767
+ "step": 9800
768
+ },
769
+ {
770
+ "epoch": 9.0,
771
+ "eval_accuracy": 0.9371769383697813,
772
+ "eval_loss": 0.25127747654914856,
773
+ "eval_runtime": 70.7449,
774
+ "eval_samples_per_second": 35.55,
775
+ "eval_steps_per_second": 2.233,
776
+ "step": 9891
777
+ },
778
+ {
779
+ "epoch": 9.01,
780
+ "grad_norm": 13.760716438293457,
781
+ "learning_rate": 1.926064556448202e-06,
782
+ "loss": 0.1822,
783
+ "step": 9900
784
+ },
785
+ {
786
+ "epoch": 9.1,
787
+ "grad_norm": 4.8457350730896,
788
+ "learning_rate": 1.5911249224379189e-06,
789
+ "loss": 0.2013,
790
+ "step": 10000
791
+ },
792
+ {
793
+ "epoch": 9.19,
794
+ "grad_norm": 22.193262100219727,
795
+ "learning_rate": 1.28756914961508e-06,
796
+ "loss": 0.198,
797
+ "step": 10100
798
+ },
799
+ {
800
+ "epoch": 9.28,
801
+ "grad_norm": 18.170265197753906,
802
+ "learning_rate": 1.0156452731595112e-06,
803
+ "loss": 0.1789,
804
+ "step": 10200
805
+ },
806
+ {
807
+ "epoch": 9.37,
808
+ "grad_norm": 17.805940628051758,
809
+ "learning_rate": 7.755754818537542e-07,
810
+ "loss": 0.224,
811
+ "step": 10300
812
+ },
813
+ {
814
+ "epoch": 9.46,
815
+ "grad_norm": 12.388289451599121,
816
+ "learning_rate": 5.675559365327798e-07,
817
+ "loss": 0.1946,
818
+ "step": 10400
819
+ },
820
+ {
821
+ "epoch": 9.55,
822
+ "grad_norm": 6.379385948181152,
823
+ "learning_rate": 3.917566098011438e-07,
824
+ "loss": 0.2367,
825
+ "step": 10500
826
+ },
827
+ {
828
+ "epoch": 9.65,
829
+ "grad_norm": 19.94425392150879,
830
+ "learning_rate": 2.4832114714847367e-07,
831
+ "loss": 0.2286,
832
+ "step": 10600
833
+ },
834
+ {
835
+ "epoch": 9.74,
836
+ "grad_norm": 18.711742401123047,
837
+ "learning_rate": 1.3736674957689045e-07,
838
+ "loss": 0.2218,
839
+ "step": 10700
840
+ },
841
+ {
842
+ "epoch": 9.83,
843
+ "grad_norm": 9.24134349822998,
844
+ "learning_rate": 5.898407783614169e-08,
845
+ "loss": 0.2121,
846
+ "step": 10800
847
+ },
848
+ {
849
+ "epoch": 9.92,
850
+ "grad_norm": 14.733855247497559,
851
+ "learning_rate": 1.3237178344787106e-08,
852
+ "loss": 0.2131,
853
+ "step": 10900
854
+ },
855
+ {
856
+ "epoch": 10.0,
857
+ "eval_accuracy": 0.9391650099403579,
858
+ "eval_loss": 0.24724383652210236,
859
+ "eval_runtime": 71.3719,
860
+ "eval_samples_per_second": 35.238,
861
+ "eval_steps_per_second": 2.214,
862
+ "step": 10990
863
+ },
864
+ {
865
+ "epoch": 10.0,
866
+ "step": 10990,
867
+ "total_flos": 1.301428412334932e+19,
868
+ "train_loss": 0.4344568561488005,
869
+ "train_runtime": 10707.0666,
870
+ "train_samples_per_second": 16.42,
871
+ "train_steps_per_second": 1.026
872
+ }
873
+ ],
874
+ "logging_steps": 100,
875
+ "max_steps": 10990,
876
+ "num_input_tokens_seen": 0,
877
+ "num_train_epochs": 10,
878
+ "save_steps": 500,
879
+ "total_flos": 1.301428412334932e+19,
880
+ "train_batch_size": 16,
881
+ "trial_name": null,
882
+ "trial_params": null
883
+ }