lucnha commited on
Commit
55d053c
1 Parent(s): 4efe9b8

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.903954802259887
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-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.3816
36
- - Accuracy: 0.9040
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9096045197740112
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-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.3801
36
+ - Accuracy: 0.9096
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.97,
3
+ "eval_accuracy": 0.9096045197740112,
4
+ "eval_loss": 0.3801310956478119,
5
+ "eval_runtime": 5.8514,
6
+ "eval_samples_per_second": 30.249,
7
+ "eval_steps_per_second": 7.69,
8
+ "train_loss": 0.23395052750905354,
9
+ "train_runtime": 1693.9771,
10
+ "train_samples_per_second": 9.357,
11
+ "train_steps_per_second": 0.584
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.97,
3
+ "eval_accuracy": 0.9096045197740112,
4
+ "eval_loss": 0.3801310956478119,
5
+ "eval_runtime": 5.8514,
6
+ "eval_samples_per_second": 30.249,
7
+ "eval_steps_per_second": 7.69
8
+ }
runs/Feb18_00-56-09_LPP00266034A.fsoft.fpt.vn/events.out.tfevents.1708219329.LPP00266034A.fsoft.fpt.vn.79790.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fb2c5fd4ca62bef256d39fbedd78271d52ad64036a4336929f8b99764d8de21
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.97,
3
+ "train_loss": 0.23395052750905354,
4
+ "train_runtime": 1693.9771,
5
+ "train_samples_per_second": 9.357,
6
+ "train_steps_per_second": 0.584
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,714 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9096045197740112,
3
+ "best_model_checkpoint": "convnextv2-base-22k-224-finetuned-eurosat-2/checkpoint-694",
4
+ "epoch": 9.974811083123425,
5
+ "eval_steps": 500,
6
+ "global_step": 990,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1,
13
+ "learning_rate": 5.050505050505051e-06,
14
+ "loss": 1.2172,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.2,
19
+ "learning_rate": 1.0101010101010101e-05,
20
+ "loss": 1.0082,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.3,
25
+ "learning_rate": 1.5151515151515153e-05,
26
+ "loss": 0.8736,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.4,
31
+ "learning_rate": 2.0202020202020203e-05,
32
+ "loss": 0.6853,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.5,
37
+ "learning_rate": 2.5252525252525256e-05,
38
+ "loss": 0.7756,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.6,
43
+ "learning_rate": 3.0303030303030306e-05,
44
+ "loss": 0.71,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.71,
49
+ "learning_rate": 3.535353535353535e-05,
50
+ "loss": 0.5979,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.81,
55
+ "learning_rate": 4.0404040404040405e-05,
56
+ "loss": 0.6413,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.91,
61
+ "learning_rate": 4.545454545454546e-05,
62
+ "loss": 0.5227,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 1.0,
67
+ "eval_accuracy": 0.7796610169491526,
68
+ "eval_loss": 0.5333397388458252,
69
+ "eval_runtime": 5.7182,
70
+ "eval_samples_per_second": 30.954,
71
+ "eval_steps_per_second": 7.87,
72
+ "step": 99
73
+ },
74
+ {
75
+ "epoch": 1.01,
76
+ "learning_rate": 4.994388327721661e-05,
77
+ "loss": 0.5778,
78
+ "step": 100
79
+ },
80
+ {
81
+ "epoch": 1.11,
82
+ "learning_rate": 4.938271604938271e-05,
83
+ "loss": 0.5749,
84
+ "step": 110
85
+ },
86
+ {
87
+ "epoch": 1.21,
88
+ "learning_rate": 4.882154882154882e-05,
89
+ "loss": 0.4366,
90
+ "step": 120
91
+ },
92
+ {
93
+ "epoch": 1.31,
94
+ "learning_rate": 4.8260381593714935e-05,
95
+ "loss": 0.3629,
96
+ "step": 130
97
+ },
98
+ {
99
+ "epoch": 1.41,
100
+ "learning_rate": 4.7699214365881036e-05,
101
+ "loss": 0.5,
102
+ "step": 140
103
+ },
104
+ {
105
+ "epoch": 1.51,
106
+ "learning_rate": 4.713804713804714e-05,
107
+ "loss": 0.4734,
108
+ "step": 150
109
+ },
110
+ {
111
+ "epoch": 1.61,
112
+ "learning_rate": 4.6576879910213244e-05,
113
+ "loss": 0.4109,
114
+ "step": 160
115
+ },
116
+ {
117
+ "epoch": 1.71,
118
+ "learning_rate": 4.601571268237935e-05,
119
+ "loss": 0.5251,
120
+ "step": 170
121
+ },
122
+ {
123
+ "epoch": 1.81,
124
+ "learning_rate": 4.545454545454546e-05,
125
+ "loss": 0.3881,
126
+ "step": 180
127
+ },
128
+ {
129
+ "epoch": 1.91,
130
+ "learning_rate": 4.4893378226711566e-05,
131
+ "loss": 0.4248,
132
+ "step": 190
133
+ },
134
+ {
135
+ "epoch": 1.99,
136
+ "eval_accuracy": 0.8531073446327684,
137
+ "eval_loss": 0.4144964814186096,
138
+ "eval_runtime": 5.6437,
139
+ "eval_samples_per_second": 31.363,
140
+ "eval_steps_per_second": 7.974,
141
+ "step": 198
142
+ },
143
+ {
144
+ "epoch": 2.02,
145
+ "learning_rate": 4.433221099887767e-05,
146
+ "loss": 0.3864,
147
+ "step": 200
148
+ },
149
+ {
150
+ "epoch": 2.12,
151
+ "learning_rate": 4.3771043771043774e-05,
152
+ "loss": 0.2727,
153
+ "step": 210
154
+ },
155
+ {
156
+ "epoch": 2.22,
157
+ "learning_rate": 4.3209876543209875e-05,
158
+ "loss": 0.3986,
159
+ "step": 220
160
+ },
161
+ {
162
+ "epoch": 2.32,
163
+ "learning_rate": 4.264870931537598e-05,
164
+ "loss": 0.2392,
165
+ "step": 230
166
+ },
167
+ {
168
+ "epoch": 2.42,
169
+ "learning_rate": 4.208754208754209e-05,
170
+ "loss": 0.357,
171
+ "step": 240
172
+ },
173
+ {
174
+ "epoch": 2.52,
175
+ "learning_rate": 4.15263748597082e-05,
176
+ "loss": 0.2285,
177
+ "step": 250
178
+ },
179
+ {
180
+ "epoch": 2.62,
181
+ "learning_rate": 4.0965207631874305e-05,
182
+ "loss": 0.3227,
183
+ "step": 260
184
+ },
185
+ {
186
+ "epoch": 2.72,
187
+ "learning_rate": 4.0404040404040405e-05,
188
+ "loss": 0.1759,
189
+ "step": 270
190
+ },
191
+ {
192
+ "epoch": 2.82,
193
+ "learning_rate": 3.984287317620651e-05,
194
+ "loss": 0.3358,
195
+ "step": 280
196
+ },
197
+ {
198
+ "epoch": 2.92,
199
+ "learning_rate": 3.9281705948372613e-05,
200
+ "loss": 0.2998,
201
+ "step": 290
202
+ },
203
+ {
204
+ "epoch": 2.99,
205
+ "eval_accuracy": 0.8757062146892656,
206
+ "eval_loss": 0.33070680499076843,
207
+ "eval_runtime": 5.6516,
208
+ "eval_samples_per_second": 31.318,
209
+ "eval_steps_per_second": 7.962,
210
+ "step": 297
211
+ },
212
+ {
213
+ "epoch": 3.02,
214
+ "learning_rate": 3.872053872053872e-05,
215
+ "loss": 0.4704,
216
+ "step": 300
217
+ },
218
+ {
219
+ "epoch": 3.12,
220
+ "learning_rate": 3.815937149270483e-05,
221
+ "loss": 0.1983,
222
+ "step": 310
223
+ },
224
+ {
225
+ "epoch": 3.22,
226
+ "learning_rate": 3.7598204264870936e-05,
227
+ "loss": 0.188,
228
+ "step": 320
229
+ },
230
+ {
231
+ "epoch": 3.32,
232
+ "learning_rate": 3.7037037037037037e-05,
233
+ "loss": 0.2139,
234
+ "step": 330
235
+ },
236
+ {
237
+ "epoch": 3.43,
238
+ "learning_rate": 3.6475869809203144e-05,
239
+ "loss": 0.2216,
240
+ "step": 340
241
+ },
242
+ {
243
+ "epoch": 3.53,
244
+ "learning_rate": 3.5914702581369245e-05,
245
+ "loss": 0.2099,
246
+ "step": 350
247
+ },
248
+ {
249
+ "epoch": 3.63,
250
+ "learning_rate": 3.535353535353535e-05,
251
+ "loss": 0.278,
252
+ "step": 360
253
+ },
254
+ {
255
+ "epoch": 3.73,
256
+ "learning_rate": 3.4792368125701466e-05,
257
+ "loss": 0.226,
258
+ "step": 370
259
+ },
260
+ {
261
+ "epoch": 3.83,
262
+ "learning_rate": 3.423120089786757e-05,
263
+ "loss": 0.169,
264
+ "step": 380
265
+ },
266
+ {
267
+ "epoch": 3.93,
268
+ "learning_rate": 3.3670033670033675e-05,
269
+ "loss": 0.1704,
270
+ "step": 390
271
+ },
272
+ {
273
+ "epoch": 4.0,
274
+ "eval_accuracy": 0.8926553672316384,
275
+ "eval_loss": 0.26643165946006775,
276
+ "eval_runtime": 5.6592,
277
+ "eval_samples_per_second": 31.277,
278
+ "eval_steps_per_second": 7.952,
279
+ "step": 397
280
+ },
281
+ {
282
+ "epoch": 4.03,
283
+ "learning_rate": 3.3108866442199775e-05,
284
+ "loss": 0.1063,
285
+ "step": 400
286
+ },
287
+ {
288
+ "epoch": 4.13,
289
+ "learning_rate": 3.254769921436588e-05,
290
+ "loss": 0.2143,
291
+ "step": 410
292
+ },
293
+ {
294
+ "epoch": 4.23,
295
+ "learning_rate": 3.198653198653199e-05,
296
+ "loss": 0.1802,
297
+ "step": 420
298
+ },
299
+ {
300
+ "epoch": 4.33,
301
+ "learning_rate": 3.14253647586981e-05,
302
+ "loss": 0.1159,
303
+ "step": 430
304
+ },
305
+ {
306
+ "epoch": 4.43,
307
+ "learning_rate": 3.08641975308642e-05,
308
+ "loss": 0.1606,
309
+ "step": 440
310
+ },
311
+ {
312
+ "epoch": 4.53,
313
+ "learning_rate": 3.0303030303030306e-05,
314
+ "loss": 0.1828,
315
+ "step": 450
316
+ },
317
+ {
318
+ "epoch": 4.63,
319
+ "learning_rate": 2.9741863075196406e-05,
320
+ "loss": 0.1338,
321
+ "step": 460
322
+ },
323
+ {
324
+ "epoch": 4.74,
325
+ "learning_rate": 2.9180695847362517e-05,
326
+ "loss": 0.208,
327
+ "step": 470
328
+ },
329
+ {
330
+ "epoch": 4.84,
331
+ "learning_rate": 2.8619528619528618e-05,
332
+ "loss": 0.1392,
333
+ "step": 480
334
+ },
335
+ {
336
+ "epoch": 4.94,
337
+ "learning_rate": 2.8058361391694725e-05,
338
+ "loss": 0.0684,
339
+ "step": 490
340
+ },
341
+ {
342
+ "epoch": 5.0,
343
+ "eval_accuracy": 0.8700564971751412,
344
+ "eval_loss": 0.4352767765522003,
345
+ "eval_runtime": 5.6244,
346
+ "eval_samples_per_second": 31.47,
347
+ "eval_steps_per_second": 8.001,
348
+ "step": 496
349
+ },
350
+ {
351
+ "epoch": 5.04,
352
+ "learning_rate": 2.7497194163860833e-05,
353
+ "loss": 0.1994,
354
+ "step": 500
355
+ },
356
+ {
357
+ "epoch": 5.14,
358
+ "learning_rate": 2.6936026936026937e-05,
359
+ "loss": 0.1901,
360
+ "step": 510
361
+ },
362
+ {
363
+ "epoch": 5.24,
364
+ "learning_rate": 2.6374859708193044e-05,
365
+ "loss": 0.1812,
366
+ "step": 520
367
+ },
368
+ {
369
+ "epoch": 5.34,
370
+ "learning_rate": 2.581369248035915e-05,
371
+ "loss": 0.1002,
372
+ "step": 530
373
+ },
374
+ {
375
+ "epoch": 5.44,
376
+ "learning_rate": 2.5252525252525256e-05,
377
+ "loss": 0.0685,
378
+ "step": 540
379
+ },
380
+ {
381
+ "epoch": 5.54,
382
+ "learning_rate": 2.4691358024691357e-05,
383
+ "loss": 0.1548,
384
+ "step": 550
385
+ },
386
+ {
387
+ "epoch": 5.64,
388
+ "learning_rate": 2.4130190796857467e-05,
389
+ "loss": 0.1409,
390
+ "step": 560
391
+ },
392
+ {
393
+ "epoch": 5.74,
394
+ "learning_rate": 2.356902356902357e-05,
395
+ "loss": 0.1636,
396
+ "step": 570
397
+ },
398
+ {
399
+ "epoch": 5.84,
400
+ "learning_rate": 2.3007856341189676e-05,
401
+ "loss": 0.1475,
402
+ "step": 580
403
+ },
404
+ {
405
+ "epoch": 5.94,
406
+ "learning_rate": 2.2446689113355783e-05,
407
+ "loss": 0.1546,
408
+ "step": 590
409
+ },
410
+ {
411
+ "epoch": 5.99,
412
+ "eval_accuracy": 0.8870056497175142,
413
+ "eval_loss": 0.39201802015304565,
414
+ "eval_runtime": 5.5831,
415
+ "eval_samples_per_second": 31.703,
416
+ "eval_steps_per_second": 8.06,
417
+ "step": 595
418
+ },
419
+ {
420
+ "epoch": 6.05,
421
+ "learning_rate": 2.1885521885521887e-05,
422
+ "loss": 0.1232,
423
+ "step": 600
424
+ },
425
+ {
426
+ "epoch": 6.15,
427
+ "learning_rate": 2.132435465768799e-05,
428
+ "loss": 0.0651,
429
+ "step": 610
430
+ },
431
+ {
432
+ "epoch": 6.25,
433
+ "learning_rate": 2.07631874298541e-05,
434
+ "loss": 0.0332,
435
+ "step": 620
436
+ },
437
+ {
438
+ "epoch": 6.35,
439
+ "learning_rate": 2.0202020202020203e-05,
440
+ "loss": 0.0536,
441
+ "step": 630
442
+ },
443
+ {
444
+ "epoch": 6.45,
445
+ "learning_rate": 1.9640852974186307e-05,
446
+ "loss": 0.2526,
447
+ "step": 640
448
+ },
449
+ {
450
+ "epoch": 6.55,
451
+ "learning_rate": 1.9079685746352414e-05,
452
+ "loss": 0.218,
453
+ "step": 650
454
+ },
455
+ {
456
+ "epoch": 6.65,
457
+ "learning_rate": 1.8518518518518518e-05,
458
+ "loss": 0.0199,
459
+ "step": 660
460
+ },
461
+ {
462
+ "epoch": 6.75,
463
+ "learning_rate": 1.7957351290684622e-05,
464
+ "loss": 0.0679,
465
+ "step": 670
466
+ },
467
+ {
468
+ "epoch": 6.85,
469
+ "learning_rate": 1.7396184062850733e-05,
470
+ "loss": 0.1341,
471
+ "step": 680
472
+ },
473
+ {
474
+ "epoch": 6.95,
475
+ "learning_rate": 1.6835016835016837e-05,
476
+ "loss": 0.0593,
477
+ "step": 690
478
+ },
479
+ {
480
+ "epoch": 6.99,
481
+ "eval_accuracy": 0.9096045197740112,
482
+ "eval_loss": 0.3801310956478119,
483
+ "eval_runtime": 5.6406,
484
+ "eval_samples_per_second": 31.379,
485
+ "eval_steps_per_second": 7.978,
486
+ "step": 694
487
+ },
488
+ {
489
+ "epoch": 7.05,
490
+ "learning_rate": 1.627384960718294e-05,
491
+ "loss": 0.0364,
492
+ "step": 700
493
+ },
494
+ {
495
+ "epoch": 7.15,
496
+ "learning_rate": 1.571268237934905e-05,
497
+ "loss": 0.0853,
498
+ "step": 710
499
+ },
500
+ {
501
+ "epoch": 7.25,
502
+ "learning_rate": 1.5151515151515153e-05,
503
+ "loss": 0.1463,
504
+ "step": 720
505
+ },
506
+ {
507
+ "epoch": 7.36,
508
+ "learning_rate": 1.4590347923681259e-05,
509
+ "loss": 0.0741,
510
+ "step": 730
511
+ },
512
+ {
513
+ "epoch": 7.46,
514
+ "learning_rate": 1.4029180695847363e-05,
515
+ "loss": 0.0982,
516
+ "step": 740
517
+ },
518
+ {
519
+ "epoch": 7.56,
520
+ "learning_rate": 1.3468013468013468e-05,
521
+ "loss": 0.0335,
522
+ "step": 750
523
+ },
524
+ {
525
+ "epoch": 7.66,
526
+ "learning_rate": 1.2906846240179574e-05,
527
+ "loss": 0.0494,
528
+ "step": 760
529
+ },
530
+ {
531
+ "epoch": 7.76,
532
+ "learning_rate": 1.2345679012345678e-05,
533
+ "loss": 0.0645,
534
+ "step": 770
535
+ },
536
+ {
537
+ "epoch": 7.86,
538
+ "learning_rate": 1.1784511784511786e-05,
539
+ "loss": 0.0971,
540
+ "step": 780
541
+ },
542
+ {
543
+ "epoch": 7.96,
544
+ "learning_rate": 1.1223344556677892e-05,
545
+ "loss": 0.0745,
546
+ "step": 790
547
+ },
548
+ {
549
+ "epoch": 8.0,
550
+ "eval_accuracy": 0.8983050847457628,
551
+ "eval_loss": 0.40303125977516174,
552
+ "eval_runtime": 5.6355,
553
+ "eval_samples_per_second": 31.408,
554
+ "eval_steps_per_second": 7.985,
555
+ "step": 794
556
+ },
557
+ {
558
+ "epoch": 8.06,
559
+ "learning_rate": 1.0662177328843996e-05,
560
+ "loss": 0.095,
561
+ "step": 800
562
+ },
563
+ {
564
+ "epoch": 8.16,
565
+ "learning_rate": 1.0101010101010101e-05,
566
+ "loss": 0.0438,
567
+ "step": 810
568
+ },
569
+ {
570
+ "epoch": 8.26,
571
+ "learning_rate": 9.539842873176207e-06,
572
+ "loss": 0.0136,
573
+ "step": 820
574
+ },
575
+ {
576
+ "epoch": 8.36,
577
+ "learning_rate": 8.978675645342311e-06,
578
+ "loss": 0.0702,
579
+ "step": 830
580
+ },
581
+ {
582
+ "epoch": 8.46,
583
+ "learning_rate": 8.417508417508419e-06,
584
+ "loss": 0.0943,
585
+ "step": 840
586
+ },
587
+ {
588
+ "epoch": 8.56,
589
+ "learning_rate": 7.856341189674524e-06,
590
+ "loss": 0.0746,
591
+ "step": 850
592
+ },
593
+ {
594
+ "epoch": 8.66,
595
+ "learning_rate": 7.295173961840629e-06,
596
+ "loss": 0.0562,
597
+ "step": 860
598
+ },
599
+ {
600
+ "epoch": 8.77,
601
+ "learning_rate": 6.734006734006734e-06,
602
+ "loss": 0.0372,
603
+ "step": 870
604
+ },
605
+ {
606
+ "epoch": 8.87,
607
+ "learning_rate": 6.172839506172839e-06,
608
+ "loss": 0.0282,
609
+ "step": 880
610
+ },
611
+ {
612
+ "epoch": 8.97,
613
+ "learning_rate": 5.611672278338946e-06,
614
+ "loss": 0.0877,
615
+ "step": 890
616
+ },
617
+ {
618
+ "epoch": 9.0,
619
+ "eval_accuracy": 0.903954802259887,
620
+ "eval_loss": 0.38457363843917847,
621
+ "eval_runtime": 5.5773,
622
+ "eval_samples_per_second": 31.736,
623
+ "eval_steps_per_second": 8.068,
624
+ "step": 893
625
+ },
626
+ {
627
+ "epoch": 9.07,
628
+ "learning_rate": 5.050505050505051e-06,
629
+ "loss": 0.0087,
630
+ "step": 900
631
+ },
632
+ {
633
+ "epoch": 9.17,
634
+ "learning_rate": 4.489337822671156e-06,
635
+ "loss": 0.1049,
636
+ "step": 910
637
+ },
638
+ {
639
+ "epoch": 9.27,
640
+ "learning_rate": 3.928170594837262e-06,
641
+ "loss": 0.0294,
642
+ "step": 920
643
+ },
644
+ {
645
+ "epoch": 9.37,
646
+ "learning_rate": 3.367003367003367e-06,
647
+ "loss": 0.0892,
648
+ "step": 930
649
+ },
650
+ {
651
+ "epoch": 9.47,
652
+ "learning_rate": 2.805836139169473e-06,
653
+ "loss": 0.1025,
654
+ "step": 940
655
+ },
656
+ {
657
+ "epoch": 9.57,
658
+ "learning_rate": 2.244668911335578e-06,
659
+ "loss": 0.1009,
660
+ "step": 950
661
+ },
662
+ {
663
+ "epoch": 9.67,
664
+ "learning_rate": 1.6835016835016836e-06,
665
+ "loss": 0.0784,
666
+ "step": 960
667
+ },
668
+ {
669
+ "epoch": 9.77,
670
+ "learning_rate": 1.122334455667789e-06,
671
+ "loss": 0.0662,
672
+ "step": 970
673
+ },
674
+ {
675
+ "epoch": 9.87,
676
+ "learning_rate": 5.611672278338944e-07,
677
+ "loss": 0.0257,
678
+ "step": 980
679
+ },
680
+ {
681
+ "epoch": 9.97,
682
+ "learning_rate": 0.0,
683
+ "loss": 0.09,
684
+ "step": 990
685
+ },
686
+ {
687
+ "epoch": 9.97,
688
+ "eval_accuracy": 0.903954802259887,
689
+ "eval_loss": 0.3815687894821167,
690
+ "eval_runtime": 5.5808,
691
+ "eval_samples_per_second": 31.716,
692
+ "eval_steps_per_second": 8.063,
693
+ "step": 990
694
+ },
695
+ {
696
+ "epoch": 9.97,
697
+ "step": 990,
698
+ "total_flos": 1.252454560310016e+18,
699
+ "train_loss": 0.23395052750905354,
700
+ "train_runtime": 1693.9771,
701
+ "train_samples_per_second": 9.357,
702
+ "train_steps_per_second": 0.584
703
+ }
704
+ ],
705
+ "logging_steps": 10,
706
+ "max_steps": 990,
707
+ "num_input_tokens_seen": 0,
708
+ "num_train_epochs": 10,
709
+ "save_steps": 500,
710
+ "total_flos": 1.252454560310016e+18,
711
+ "train_batch_size": 4,
712
+ "trial_name": null,
713
+ "trial_params": null
714
+ }