ALM-AHME commited on
Commit
7e246b4
1 Parent(s): bb284ff

End of training

Browse files
Files changed (5) hide show
  1. README.md +3 -3
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +871 -0
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.3238095238095238
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-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.0994
36
- - Accuracy: 0.3238
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9681063122923588
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-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.1174
36
+ - Accuracy: 0.9681
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.94,
3
+ "eval_accuracy": 0.9681063122923588,
4
+ "eval_loss": 0.1173594519495964,
5
+ "eval_runtime": 42.9138,
6
+ "eval_samples_per_second": 105.211,
7
+ "eval_steps_per_second": 6.595,
8
+ "total_flos": 7.375405476885369e+18,
9
+ "train_loss": 0.7435173462795955,
10
+ "train_runtime": 8012.7314,
11
+ "train_samples_per_second": 5.229,
12
+ "train_steps_per_second": 0.081
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.94,
3
+ "eval_accuracy": 0.9681063122923588,
4
+ "eval_loss": 0.1173594519495964,
5
+ "eval_runtime": 42.9138,
6
+ "eval_samples_per_second": 105.211,
7
+ "eval_steps_per_second": 6.595
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.94,
3
+ "total_flos": 7.375405476885369e+18,
4
+ "train_loss": 0.7435173462795955,
5
+ "train_runtime": 8012.7314,
6
+ "train_samples_per_second": 5.229,
7
+ "train_steps_per_second": 0.081
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,871 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9681063122923588,
3
+ "best_model_checkpoint": "convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30-Shuffled-3rd/checkpoint-93",
4
+ "epoch": 6.944,
5
+ "eval_steps": 500,
6
+ "global_step": 651,
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": 7.668711656441718e-06,
14
+ "loss": 1.094,
15
+ "step": 5
16
+ },
17
+ {
18
+ "epoch": 0.11,
19
+ "learning_rate": 1.5337423312883436e-05,
20
+ "loss": 1.0587,
21
+ "step": 10
22
+ },
23
+ {
24
+ "epoch": 0.16,
25
+ "learning_rate": 2.300613496932515e-05,
26
+ "loss": 0.9946,
27
+ "step": 15
28
+ },
29
+ {
30
+ "epoch": 0.21,
31
+ "learning_rate": 3.067484662576687e-05,
32
+ "loss": 0.9056,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 0.27,
37
+ "learning_rate": 3.834355828220859e-05,
38
+ "loss": 0.7914,
39
+ "step": 25
40
+ },
41
+ {
42
+ "epoch": 0.32,
43
+ "learning_rate": 4.60122699386503e-05,
44
+ "loss": 0.65,
45
+ "step": 30
46
+ },
47
+ {
48
+ "epoch": 0.37,
49
+ "learning_rate": 5.368098159509203e-05,
50
+ "loss": 0.4872,
51
+ "step": 35
52
+ },
53
+ {
54
+ "epoch": 0.43,
55
+ "learning_rate": 6.134969325153375e-05,
56
+ "loss": 0.3592,
57
+ "step": 40
58
+ },
59
+ {
60
+ "epoch": 0.48,
61
+ "learning_rate": 6.901840490797547e-05,
62
+ "loss": 0.3144,
63
+ "step": 45
64
+ },
65
+ {
66
+ "epoch": 0.53,
67
+ "learning_rate": 7.668711656441718e-05,
68
+ "loss": 0.2393,
69
+ "step": 50
70
+ },
71
+ {
72
+ "epoch": 0.59,
73
+ "learning_rate": 8.43558282208589e-05,
74
+ "loss": 0.1919,
75
+ "step": 55
76
+ },
77
+ {
78
+ "epoch": 0.64,
79
+ "learning_rate": 9.20245398773006e-05,
80
+ "loss": 0.2532,
81
+ "step": 60
82
+ },
83
+ {
84
+ "epoch": 0.69,
85
+ "learning_rate": 9.969325153374233e-05,
86
+ "loss": 0.1908,
87
+ "step": 65
88
+ },
89
+ {
90
+ "epoch": 0.75,
91
+ "learning_rate": 0.00010736196319018406,
92
+ "loss": 0.1911,
93
+ "step": 70
94
+ },
95
+ {
96
+ "epoch": 0.8,
97
+ "learning_rate": 0.00011503067484662577,
98
+ "loss": 0.1464,
99
+ "step": 75
100
+ },
101
+ {
102
+ "epoch": 0.85,
103
+ "learning_rate": 0.0001226993865030675,
104
+ "loss": 0.1723,
105
+ "step": 80
106
+ },
107
+ {
108
+ "epoch": 0.91,
109
+ "learning_rate": 0.0001303680981595092,
110
+ "loss": 0.3376,
111
+ "step": 85
112
+ },
113
+ {
114
+ "epoch": 0.96,
115
+ "learning_rate": 0.00013803680981595094,
116
+ "loss": 0.1749,
117
+ "step": 90
118
+ },
119
+ {
120
+ "epoch": 0.99,
121
+ "eval_accuracy": 0.9681063122923588,
122
+ "eval_loss": 0.1173594519495964,
123
+ "eval_runtime": 2947.7804,
124
+ "eval_samples_per_second": 1.532,
125
+ "eval_steps_per_second": 0.096,
126
+ "step": 93
127
+ },
128
+ {
129
+ "epoch": 1.01,
130
+ "learning_rate": 0.00014570552147239263,
131
+ "loss": 0.2813,
132
+ "step": 95
133
+ },
134
+ {
135
+ "epoch": 1.07,
136
+ "learning_rate": 0.00015337423312883436,
137
+ "loss": 0.2519,
138
+ "step": 100
139
+ },
140
+ {
141
+ "epoch": 1.12,
142
+ "learning_rate": 0.00016104294478527608,
143
+ "loss": 0.1291,
144
+ "step": 105
145
+ },
146
+ {
147
+ "epoch": 1.17,
148
+ "learning_rate": 0.0001687116564417178,
149
+ "loss": 0.1866,
150
+ "step": 110
151
+ },
152
+ {
153
+ "epoch": 1.23,
154
+ "learning_rate": 0.00017638036809815953,
155
+ "loss": 0.1476,
156
+ "step": 115
157
+ },
158
+ {
159
+ "epoch": 1.28,
160
+ "learning_rate": 0.0001840490797546012,
161
+ "loss": 0.2151,
162
+ "step": 120
163
+ },
164
+ {
165
+ "epoch": 1.33,
166
+ "learning_rate": 0.00019171779141104295,
167
+ "loss": 0.166,
168
+ "step": 125
169
+ },
170
+ {
171
+ "epoch": 1.39,
172
+ "learning_rate": 0.00019938650306748466,
173
+ "loss": 0.2285,
174
+ "step": 130
175
+ },
176
+ {
177
+ "epoch": 1.44,
178
+ "learning_rate": 0.00020705521472392637,
179
+ "loss": 0.26,
180
+ "step": 135
181
+ },
182
+ {
183
+ "epoch": 1.49,
184
+ "learning_rate": 0.0002147239263803681,
185
+ "loss": 0.2665,
186
+ "step": 140
187
+ },
188
+ {
189
+ "epoch": 1.55,
190
+ "learning_rate": 0.00022239263803680982,
191
+ "loss": 0.3498,
192
+ "step": 145
193
+ },
194
+ {
195
+ "epoch": 1.6,
196
+ "learning_rate": 0.00023006134969325153,
197
+ "loss": 0.2542,
198
+ "step": 150
199
+ },
200
+ {
201
+ "epoch": 1.65,
202
+ "learning_rate": 0.00023773006134969325,
203
+ "loss": 0.2703,
204
+ "step": 155
205
+ },
206
+ {
207
+ "epoch": 1.71,
208
+ "learning_rate": 0.000245398773006135,
209
+ "loss": 0.3452,
210
+ "step": 160
211
+ },
212
+ {
213
+ "epoch": 1.76,
214
+ "learning_rate": 0.00025306748466257667,
215
+ "loss": 0.2412,
216
+ "step": 165
217
+ },
218
+ {
219
+ "epoch": 1.81,
220
+ "learning_rate": 0.0002607361963190184,
221
+ "loss": 0.2198,
222
+ "step": 170
223
+ },
224
+ {
225
+ "epoch": 1.87,
226
+ "learning_rate": 0.00026840490797546015,
227
+ "loss": 0.2265,
228
+ "step": 175
229
+ },
230
+ {
231
+ "epoch": 1.92,
232
+ "learning_rate": 0.0002760736196319019,
233
+ "loss": 0.35,
234
+ "step": 180
235
+ },
236
+ {
237
+ "epoch": 1.97,
238
+ "learning_rate": 0.00028374233128834357,
239
+ "loss": 0.3183,
240
+ "step": 185
241
+ },
242
+ {
243
+ "epoch": 1.99,
244
+ "eval_accuracy": 0.9246954595791805,
245
+ "eval_loss": 0.17996589839458466,
246
+ "eval_runtime": 43.3309,
247
+ "eval_samples_per_second": 104.198,
248
+ "eval_steps_per_second": 6.531,
249
+ "step": 187
250
+ },
251
+ {
252
+ "epoch": 2.03,
253
+ "learning_rate": 0.00029141104294478525,
254
+ "loss": 0.2368,
255
+ "step": 190
256
+ },
257
+ {
258
+ "epoch": 2.08,
259
+ "learning_rate": 0.000299079754601227,
260
+ "loss": 0.2482,
261
+ "step": 195
262
+ },
263
+ {
264
+ "epoch": 2.13,
265
+ "learning_rate": 0.00030674846625766873,
266
+ "loss": 0.1572,
267
+ "step": 200
268
+ },
269
+ {
270
+ "epoch": 2.19,
271
+ "learning_rate": 0.00031441717791411047,
272
+ "loss": 0.1358,
273
+ "step": 205
274
+ },
275
+ {
276
+ "epoch": 2.24,
277
+ "learning_rate": 0.00032208588957055215,
278
+ "loss": 0.1966,
279
+ "step": 210
280
+ },
281
+ {
282
+ "epoch": 2.29,
283
+ "learning_rate": 0.00032975460122699384,
284
+ "loss": 0.1984,
285
+ "step": 215
286
+ },
287
+ {
288
+ "epoch": 2.35,
289
+ "learning_rate": 0.0003374233128834356,
290
+ "loss": 0.2055,
291
+ "step": 220
292
+ },
293
+ {
294
+ "epoch": 2.4,
295
+ "learning_rate": 0.0003450920245398773,
296
+ "loss": 0.2273,
297
+ "step": 225
298
+ },
299
+ {
300
+ "epoch": 2.45,
301
+ "learning_rate": 0.00035276073619631905,
302
+ "loss": 0.1351,
303
+ "step": 230
304
+ },
305
+ {
306
+ "epoch": 2.51,
307
+ "learning_rate": 0.00036042944785276074,
308
+ "loss": 0.17,
309
+ "step": 235
310
+ },
311
+ {
312
+ "epoch": 2.56,
313
+ "learning_rate": 0.0003680981595092024,
314
+ "loss": 0.2857,
315
+ "step": 240
316
+ },
317
+ {
318
+ "epoch": 2.61,
319
+ "learning_rate": 0.00037576687116564416,
320
+ "loss": 0.1333,
321
+ "step": 245
322
+ },
323
+ {
324
+ "epoch": 2.67,
325
+ "learning_rate": 0.0003834355828220859,
326
+ "loss": 0.5189,
327
+ "step": 250
328
+ },
329
+ {
330
+ "epoch": 2.72,
331
+ "learning_rate": 0.00039110429447852764,
332
+ "loss": 0.1638,
333
+ "step": 255
334
+ },
335
+ {
336
+ "epoch": 2.77,
337
+ "learning_rate": 0.0003987730061349693,
338
+ "loss": 0.1754,
339
+ "step": 260
340
+ },
341
+ {
342
+ "epoch": 2.83,
343
+ "learning_rate": 0.00040644171779141106,
344
+ "loss": 0.197,
345
+ "step": 265
346
+ },
347
+ {
348
+ "epoch": 2.88,
349
+ "learning_rate": 0.00041411042944785274,
350
+ "loss": 0.1543,
351
+ "step": 270
352
+ },
353
+ {
354
+ "epoch": 2.93,
355
+ "learning_rate": 0.0004217791411042945,
356
+ "loss": 0.2147,
357
+ "step": 275
358
+ },
359
+ {
360
+ "epoch": 2.99,
361
+ "learning_rate": 0.0004294478527607362,
362
+ "loss": 0.3048,
363
+ "step": 280
364
+ },
365
+ {
366
+ "epoch": 3.0,
367
+ "eval_accuracy": 0.9233665559246954,
368
+ "eval_loss": 0.18979668617248535,
369
+ "eval_runtime": 43.4199,
370
+ "eval_samples_per_second": 103.985,
371
+ "eval_steps_per_second": 6.518,
372
+ "step": 281
373
+ },
374
+ {
375
+ "epoch": 3.04,
376
+ "learning_rate": 0.0004371165644171779,
377
+ "loss": 0.16,
378
+ "step": 285
379
+ },
380
+ {
381
+ "epoch": 3.09,
382
+ "learning_rate": 0.00044478527607361964,
383
+ "loss": 0.132,
384
+ "step": 290
385
+ },
386
+ {
387
+ "epoch": 3.15,
388
+ "learning_rate": 0.0004524539877300614,
389
+ "loss": 0.5492,
390
+ "step": 295
391
+ },
392
+ {
393
+ "epoch": 3.2,
394
+ "learning_rate": 0.00046012269938650307,
395
+ "loss": 1.1128,
396
+ "step": 300
397
+ },
398
+ {
399
+ "epoch": 3.25,
400
+ "learning_rate": 0.0004677914110429448,
401
+ "loss": 1.2612,
402
+ "step": 305
403
+ },
404
+ {
405
+ "epoch": 3.31,
406
+ "learning_rate": 0.0004754601226993865,
407
+ "loss": 1.154,
408
+ "step": 310
409
+ },
410
+ {
411
+ "epoch": 3.36,
412
+ "learning_rate": 0.00048312883435582823,
413
+ "loss": 1.1277,
414
+ "step": 315
415
+ },
416
+ {
417
+ "epoch": 3.41,
418
+ "learning_rate": 0.00049079754601227,
419
+ "loss": 1.1094,
420
+ "step": 320
421
+ },
422
+ {
423
+ "epoch": 3.47,
424
+ "learning_rate": 0.0004984662576687117,
425
+ "loss": 1.0978,
426
+ "step": 325
427
+ },
428
+ {
429
+ "epoch": 3.52,
430
+ "learning_rate": 0.0004938461538461538,
431
+ "loss": 1.1128,
432
+ "step": 330
433
+ },
434
+ {
435
+ "epoch": 3.57,
436
+ "learning_rate": 0.0004861538461538462,
437
+ "loss": 1.0989,
438
+ "step": 335
439
+ },
440
+ {
441
+ "epoch": 3.63,
442
+ "learning_rate": 0.00047846153846153844,
443
+ "loss": 1.1081,
444
+ "step": 340
445
+ },
446
+ {
447
+ "epoch": 3.68,
448
+ "learning_rate": 0.00047076923076923077,
449
+ "loss": 1.0983,
450
+ "step": 345
451
+ },
452
+ {
453
+ "epoch": 3.73,
454
+ "learning_rate": 0.00046307692307692304,
455
+ "loss": 1.1016,
456
+ "step": 350
457
+ },
458
+ {
459
+ "epoch": 3.79,
460
+ "learning_rate": 0.0004553846153846154,
461
+ "loss": 1.099,
462
+ "step": 355
463
+ },
464
+ {
465
+ "epoch": 3.84,
466
+ "learning_rate": 0.0004476923076923077,
467
+ "loss": 1.0987,
468
+ "step": 360
469
+ },
470
+ {
471
+ "epoch": 3.89,
472
+ "learning_rate": 0.00044,
473
+ "loss": 1.1142,
474
+ "step": 365
475
+ },
476
+ {
477
+ "epoch": 3.95,
478
+ "learning_rate": 0.0004323076923076923,
479
+ "loss": 1.0999,
480
+ "step": 370
481
+ },
482
+ {
483
+ "epoch": 4.0,
484
+ "learning_rate": 0.0004246153846153846,
485
+ "loss": 1.1006,
486
+ "step": 375
487
+ },
488
+ {
489
+ "epoch": 4.0,
490
+ "eval_accuracy": 0.3337763012181617,
491
+ "eval_loss": 1.1143020391464233,
492
+ "eval_runtime": 43.0798,
493
+ "eval_samples_per_second": 104.806,
494
+ "eval_steps_per_second": 6.569,
495
+ "step": 375
496
+ },
497
+ {
498
+ "epoch": 4.05,
499
+ "learning_rate": 0.0004169230769230769,
500
+ "loss": 1.1025,
501
+ "step": 380
502
+ },
503
+ {
504
+ "epoch": 4.11,
505
+ "learning_rate": 0.00040923076923076926,
506
+ "loss": 1.112,
507
+ "step": 385
508
+ },
509
+ {
510
+ "epoch": 4.16,
511
+ "learning_rate": 0.00040153846153846153,
512
+ "loss": 1.1014,
513
+ "step": 390
514
+ },
515
+ {
516
+ "epoch": 4.21,
517
+ "learning_rate": 0.00039384615384615386,
518
+ "loss": 1.1004,
519
+ "step": 395
520
+ },
521
+ {
522
+ "epoch": 4.27,
523
+ "learning_rate": 0.0003861538461538462,
524
+ "loss": 1.1119,
525
+ "step": 400
526
+ },
527
+ {
528
+ "epoch": 4.32,
529
+ "learning_rate": 0.00037846153846153845,
530
+ "loss": 1.1033,
531
+ "step": 405
532
+ },
533
+ {
534
+ "epoch": 4.37,
535
+ "learning_rate": 0.0003707692307692308,
536
+ "loss": 1.1073,
537
+ "step": 410
538
+ },
539
+ {
540
+ "epoch": 4.43,
541
+ "learning_rate": 0.0003630769230769231,
542
+ "loss": 1.0973,
543
+ "step": 415
544
+ },
545
+ {
546
+ "epoch": 4.48,
547
+ "learning_rate": 0.00035538461538461543,
548
+ "loss": 1.1094,
549
+ "step": 420
550
+ },
551
+ {
552
+ "epoch": 4.53,
553
+ "learning_rate": 0.0003476923076923077,
554
+ "loss": 1.0951,
555
+ "step": 425
556
+ },
557
+ {
558
+ "epoch": 4.59,
559
+ "learning_rate": 0.00034,
560
+ "loss": 1.1049,
561
+ "step": 430
562
+ },
563
+ {
564
+ "epoch": 4.64,
565
+ "learning_rate": 0.0003323076923076923,
566
+ "loss": 1.1005,
567
+ "step": 435
568
+ },
569
+ {
570
+ "epoch": 4.69,
571
+ "learning_rate": 0.0003246153846153846,
572
+ "loss": 1.1,
573
+ "step": 440
574
+ },
575
+ {
576
+ "epoch": 4.75,
577
+ "learning_rate": 0.00031692307692307695,
578
+ "loss": 1.0979,
579
+ "step": 445
580
+ },
581
+ {
582
+ "epoch": 4.8,
583
+ "learning_rate": 0.00030923076923076927,
584
+ "loss": 1.1013,
585
+ "step": 450
586
+ },
587
+ {
588
+ "epoch": 4.85,
589
+ "learning_rate": 0.00030153846153846154,
590
+ "loss": 1.1027,
591
+ "step": 455
592
+ },
593
+ {
594
+ "epoch": 4.91,
595
+ "learning_rate": 0.00029384615384615387,
596
+ "loss": 1.0969,
597
+ "step": 460
598
+ },
599
+ {
600
+ "epoch": 4.96,
601
+ "learning_rate": 0.00028615384615384614,
602
+ "loss": 1.0988,
603
+ "step": 465
604
+ },
605
+ {
606
+ "epoch": 4.99,
607
+ "eval_accuracy": 0.3238095238095238,
608
+ "eval_loss": 1.0992164611816406,
609
+ "eval_runtime": 42.9354,
610
+ "eval_samples_per_second": 105.158,
611
+ "eval_steps_per_second": 6.591,
612
+ "step": 468
613
+ },
614
+ {
615
+ "epoch": 5.01,
616
+ "learning_rate": 0.00027846153846153846,
617
+ "loss": 1.1023,
618
+ "step": 470
619
+ },
620
+ {
621
+ "epoch": 5.07,
622
+ "learning_rate": 0.0002707692307692308,
623
+ "loss": 1.1027,
624
+ "step": 475
625
+ },
626
+ {
627
+ "epoch": 5.12,
628
+ "learning_rate": 0.0002630769230769231,
629
+ "loss": 1.1045,
630
+ "step": 480
631
+ },
632
+ {
633
+ "epoch": 5.17,
634
+ "learning_rate": 0.0002553846153846154,
635
+ "loss": 1.0956,
636
+ "step": 485
637
+ },
638
+ {
639
+ "epoch": 5.23,
640
+ "learning_rate": 0.0002476923076923077,
641
+ "loss": 1.1015,
642
+ "step": 490
643
+ },
644
+ {
645
+ "epoch": 5.28,
646
+ "learning_rate": 0.00024,
647
+ "loss": 1.101,
648
+ "step": 495
649
+ },
650
+ {
651
+ "epoch": 5.33,
652
+ "learning_rate": 0.0002323076923076923,
653
+ "loss": 1.0938,
654
+ "step": 500
655
+ },
656
+ {
657
+ "epoch": 5.39,
658
+ "learning_rate": 0.0002246153846153846,
659
+ "loss": 1.0983,
660
+ "step": 505
661
+ },
662
+ {
663
+ "epoch": 5.44,
664
+ "learning_rate": 0.00021692307692307693,
665
+ "loss": 1.0988,
666
+ "step": 510
667
+ },
668
+ {
669
+ "epoch": 5.49,
670
+ "learning_rate": 0.00020923076923076922,
671
+ "loss": 1.1023,
672
+ "step": 515
673
+ },
674
+ {
675
+ "epoch": 5.55,
676
+ "learning_rate": 0.00020153846153846152,
677
+ "loss": 1.1016,
678
+ "step": 520
679
+ },
680
+ {
681
+ "epoch": 5.6,
682
+ "learning_rate": 0.00019384615384615385,
683
+ "loss": 1.0993,
684
+ "step": 525
685
+ },
686
+ {
687
+ "epoch": 5.65,
688
+ "learning_rate": 0.00018615384615384615,
689
+ "loss": 1.0945,
690
+ "step": 530
691
+ },
692
+ {
693
+ "epoch": 5.71,
694
+ "learning_rate": 0.00017846153846153844,
695
+ "loss": 1.1035,
696
+ "step": 535
697
+ },
698
+ {
699
+ "epoch": 5.76,
700
+ "learning_rate": 0.00017076923076923077,
701
+ "loss": 1.1048,
702
+ "step": 540
703
+ },
704
+ {
705
+ "epoch": 5.81,
706
+ "learning_rate": 0.00016307692307692307,
707
+ "loss": 1.1051,
708
+ "step": 545
709
+ },
710
+ {
711
+ "epoch": 5.87,
712
+ "learning_rate": 0.00015538461538461536,
713
+ "loss": 1.0989,
714
+ "step": 550
715
+ },
716
+ {
717
+ "epoch": 5.92,
718
+ "learning_rate": 0.00014769230769230772,
719
+ "loss": 1.0994,
720
+ "step": 555
721
+ },
722
+ {
723
+ "epoch": 5.97,
724
+ "learning_rate": 0.00014000000000000001,
725
+ "loss": 1.0961,
726
+ "step": 560
727
+ },
728
+ {
729
+ "epoch": 5.99,
730
+ "eval_accuracy": 0.3238095238095238,
731
+ "eval_loss": 1.1005984544754028,
732
+ "eval_runtime": 43.2538,
733
+ "eval_samples_per_second": 104.384,
734
+ "eval_steps_per_second": 6.543,
735
+ "step": 562
736
+ },
737
+ {
738
+ "epoch": 6.03,
739
+ "learning_rate": 0.0001323076923076923,
740
+ "loss": 1.0989,
741
+ "step": 565
742
+ },
743
+ {
744
+ "epoch": 6.08,
745
+ "learning_rate": 0.0001246153846153846,
746
+ "loss": 1.0992,
747
+ "step": 570
748
+ },
749
+ {
750
+ "epoch": 6.13,
751
+ "learning_rate": 0.00011692307692307692,
752
+ "loss": 1.096,
753
+ "step": 575
754
+ },
755
+ {
756
+ "epoch": 6.19,
757
+ "learning_rate": 0.00010923076923076923,
758
+ "loss": 1.1023,
759
+ "step": 580
760
+ },
761
+ {
762
+ "epoch": 6.24,
763
+ "learning_rate": 0.00010153846153846153,
764
+ "loss": 1.0979,
765
+ "step": 585
766
+ },
767
+ {
768
+ "epoch": 6.29,
769
+ "learning_rate": 9.384615384615384e-05,
770
+ "loss": 1.1023,
771
+ "step": 590
772
+ },
773
+ {
774
+ "epoch": 6.35,
775
+ "learning_rate": 8.615384615384615e-05,
776
+ "loss": 1.0991,
777
+ "step": 595
778
+ },
779
+ {
780
+ "epoch": 6.4,
781
+ "learning_rate": 7.846153846153845e-05,
782
+ "loss": 1.0971,
783
+ "step": 600
784
+ },
785
+ {
786
+ "epoch": 6.45,
787
+ "learning_rate": 7.076923076923076e-05,
788
+ "loss": 1.0987,
789
+ "step": 605
790
+ },
791
+ {
792
+ "epoch": 6.51,
793
+ "learning_rate": 6.307692307692308e-05,
794
+ "loss": 1.095,
795
+ "step": 610
796
+ },
797
+ {
798
+ "epoch": 6.56,
799
+ "learning_rate": 5.538461538461539e-05,
800
+ "loss": 1.1003,
801
+ "step": 615
802
+ },
803
+ {
804
+ "epoch": 6.61,
805
+ "learning_rate": 4.769230769230769e-05,
806
+ "loss": 1.0994,
807
+ "step": 620
808
+ },
809
+ {
810
+ "epoch": 6.67,
811
+ "learning_rate": 4e-05,
812
+ "loss": 1.1029,
813
+ "step": 625
814
+ },
815
+ {
816
+ "epoch": 6.72,
817
+ "learning_rate": 3.230769230769231e-05,
818
+ "loss": 1.1004,
819
+ "step": 630
820
+ },
821
+ {
822
+ "epoch": 6.77,
823
+ "learning_rate": 2.4615384615384616e-05,
824
+ "loss": 1.098,
825
+ "step": 635
826
+ },
827
+ {
828
+ "epoch": 6.83,
829
+ "learning_rate": 1.6923076923076924e-05,
830
+ "loss": 1.0991,
831
+ "step": 640
832
+ },
833
+ {
834
+ "epoch": 6.88,
835
+ "learning_rate": 9.230769230769232e-06,
836
+ "loss": 1.0984,
837
+ "step": 645
838
+ },
839
+ {
840
+ "epoch": 6.93,
841
+ "learning_rate": 1.5384615384615385e-06,
842
+ "loss": 1.0987,
843
+ "step": 650
844
+ },
845
+ {
846
+ "epoch": 6.94,
847
+ "eval_accuracy": 0.3238095238095238,
848
+ "eval_loss": 1.0993690490722656,
849
+ "eval_runtime": 43.0492,
850
+ "eval_samples_per_second": 104.88,
851
+ "eval_steps_per_second": 6.574,
852
+ "step": 651
853
+ },
854
+ {
855
+ "epoch": 6.94,
856
+ "step": 651,
857
+ "total_flos": 7.375405476885369e+18,
858
+ "train_loss": 0.7435173462795955,
859
+ "train_runtime": 8012.7314,
860
+ "train_samples_per_second": 5.229,
861
+ "train_steps_per_second": 0.081
862
+ }
863
+ ],
864
+ "logging_steps": 5,
865
+ "max_steps": 651,
866
+ "num_train_epochs": 7,
867
+ "save_steps": 500,
868
+ "total_flos": 7.375405476885369e+18,
869
+ "trial_name": null,
870
+ "trial_params": null
871
+ }