c14kevincardenas commited on
Commit
87da958
·
verified ·
1 Parent(s): bdf0c22

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: c14kevincardenas/beit-large-patch16-384-limb-person-crop
5
  tags:
 
 
6
  - generated_from_trainer
7
  metrics:
8
  - accuracy
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  # finetuned-beit-limb-seq-t4-8heads-1layers-1e-4lr
18
 
19
- This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb-person-crop](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb-person-crop) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.3986
22
- - Accuracy: 0.9210
23
 
24
  ## Model description
25
 
 
3
  license: apache-2.0
4
  base_model: c14kevincardenas/beit-large-patch16-384-limb-person-crop
5
  tags:
6
+ - image-sequence-classification
7
+ - vision
8
  - generated_from_trainer
9
  metrics:
10
  - accuracy
 
18
 
19
  # finetuned-beit-limb-seq-t4-8heads-1layers-1e-4lr
20
 
21
+ This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb-person-crop](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb-person-crop) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_4 dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.3927
24
+ - Accuracy: 0.9174
25
 
26
  ## Model description
27
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9173652694610779,
4
+ "eval_loss": 0.3927362263202667,
5
+ "eval_runtime": 59.0745,
6
+ "eval_samples_per_second": 14.135,
7
+ "eval_steps_per_second": 0.457,
8
+ "total_flos": 0.0,
9
+ "train_loss": 0.43191270973231344,
10
+ "train_runtime": 11059.7547,
11
+ "train_samples_per_second": 8.552,
12
+ "train_steps_per_second": 0.268
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9173652694610779,
4
+ "eval_loss": 0.3927362263202667,
5
+ "eval_runtime": 59.0745,
6
+ "eval_samples_per_second": 14.135,
7
+ "eval_steps_per_second": 0.457
8
+ }
runs/Feb05_18-47-22_galactica.ad.cirange.net/events.out.tfevents.1738792601.galactica.ad.cirange.net.1303711.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:608b5795b3127874b09fee1a0e8f87e2754d1ed32cb7ca1ea340d33ef4165d5e
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 0.43191270973231344,
5
+ "train_runtime": 11059.7547,
6
+ "train_samples_per_second": 8.552,
7
+ "train_steps_per_second": 0.268
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1048 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.3927362263202667,
3
+ "best_model_checkpoint": "limb_classification_person_crop_seq/t4_8heads_1layers_1e-4lr/checkpoint-1776",
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2960,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.16891891891891891,
13
+ "grad_norm": 358243.25,
14
+ "learning_rate": 1e-05,
15
+ "loss": 1.3942,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.33783783783783783,
20
+ "grad_norm": 251778.359375,
21
+ "learning_rate": 2e-05,
22
+ "loss": 1.3603,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.5067567567567568,
27
+ "grad_norm": 132885.078125,
28
+ "learning_rate": 3e-05,
29
+ "loss": 1.2986,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.6756756756756757,
34
+ "grad_norm": 586557.4375,
35
+ "learning_rate": 4e-05,
36
+ "loss": 1.1933,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.8445945945945946,
41
+ "grad_norm": 172983.421875,
42
+ "learning_rate": 5e-05,
43
+ "loss": 1.0563,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 1.0,
48
+ "eval_accuracy": 0.8754491017964072,
49
+ "eval_loss": 0.5863036513328552,
50
+ "eval_runtime": 60.375,
51
+ "eval_samples_per_second": 13.83,
52
+ "eval_steps_per_second": 0.447,
53
+ "step": 148
54
+ },
55
+ {
56
+ "epoch": 1.0135135135135136,
57
+ "grad_norm": 176986.609375,
58
+ "learning_rate": 6e-05,
59
+ "loss": 0.7536,
60
+ "step": 150
61
+ },
62
+ {
63
+ "epoch": 1.1824324324324325,
64
+ "grad_norm": 141175.546875,
65
+ "learning_rate": 7e-05,
66
+ "loss": 0.5917,
67
+ "step": 175
68
+ },
69
+ {
70
+ "epoch": 1.3513513513513513,
71
+ "grad_norm": 171763.8125,
72
+ "learning_rate": 8e-05,
73
+ "loss": 0.5229,
74
+ "step": 200
75
+ },
76
+ {
77
+ "epoch": 1.5202702702702702,
78
+ "grad_norm": 235346.625,
79
+ "learning_rate": 9e-05,
80
+ "loss": 0.4497,
81
+ "step": 225
82
+ },
83
+ {
84
+ "epoch": 1.689189189189189,
85
+ "grad_norm": 91142.6953125,
86
+ "learning_rate": 0.0001,
87
+ "loss": 0.443,
88
+ "step": 250
89
+ },
90
+ {
91
+ "epoch": 1.8581081081081081,
92
+ "grad_norm": 174055.0,
93
+ "learning_rate": 9.907749077490776e-05,
94
+ "loss": 0.4235,
95
+ "step": 275
96
+ },
97
+ {
98
+ "epoch": 2.0,
99
+ "eval_accuracy": 0.8982035928143712,
100
+ "eval_loss": 0.4248776435852051,
101
+ "eval_runtime": 60.0285,
102
+ "eval_samples_per_second": 13.91,
103
+ "eval_steps_per_second": 0.45,
104
+ "step": 296
105
+ },
106
+ {
107
+ "epoch": 2.027027027027027,
108
+ "grad_norm": 457668.3125,
109
+ "learning_rate": 9.81549815498155e-05,
110
+ "loss": 0.4702,
111
+ "step": 300
112
+ },
113
+ {
114
+ "epoch": 2.195945945945946,
115
+ "grad_norm": 132193.171875,
116
+ "learning_rate": 9.723247232472326e-05,
117
+ "loss": 0.4457,
118
+ "step": 325
119
+ },
120
+ {
121
+ "epoch": 2.364864864864865,
122
+ "grad_norm": 96091.71875,
123
+ "learning_rate": 9.6309963099631e-05,
124
+ "loss": 0.4403,
125
+ "step": 350
126
+ },
127
+ {
128
+ "epoch": 2.5337837837837838,
129
+ "grad_norm": 161375.140625,
130
+ "learning_rate": 9.538745387453874e-05,
131
+ "loss": 0.423,
132
+ "step": 375
133
+ },
134
+ {
135
+ "epoch": 2.7027027027027026,
136
+ "grad_norm": 130612.0078125,
137
+ "learning_rate": 9.44649446494465e-05,
138
+ "loss": 0.43,
139
+ "step": 400
140
+ },
141
+ {
142
+ "epoch": 2.8716216216216215,
143
+ "grad_norm": 238536.953125,
144
+ "learning_rate": 9.354243542435425e-05,
145
+ "loss": 0.4494,
146
+ "step": 425
147
+ },
148
+ {
149
+ "epoch": 3.0,
150
+ "eval_accuracy": 0.9089820359281438,
151
+ "eval_loss": 0.42482611536979675,
152
+ "eval_runtime": 59.7234,
153
+ "eval_samples_per_second": 13.981,
154
+ "eval_steps_per_second": 0.452,
155
+ "step": 444
156
+ },
157
+ {
158
+ "epoch": 3.0405405405405403,
159
+ "grad_norm": 60061.19921875,
160
+ "learning_rate": 9.2619926199262e-05,
161
+ "loss": 0.4362,
162
+ "step": 450
163
+ },
164
+ {
165
+ "epoch": 3.2094594594594597,
166
+ "grad_norm": 96977.171875,
167
+ "learning_rate": 9.169741697416975e-05,
168
+ "loss": 0.4302,
169
+ "step": 475
170
+ },
171
+ {
172
+ "epoch": 3.3783783783783785,
173
+ "grad_norm": 98531.53125,
174
+ "learning_rate": 9.077490774907749e-05,
175
+ "loss": 0.409,
176
+ "step": 500
177
+ },
178
+ {
179
+ "epoch": 3.5472972972972974,
180
+ "grad_norm": 101922.609375,
181
+ "learning_rate": 8.985239852398525e-05,
182
+ "loss": 0.3979,
183
+ "step": 525
184
+ },
185
+ {
186
+ "epoch": 3.7162162162162162,
187
+ "grad_norm": 108008.8671875,
188
+ "learning_rate": 8.892988929889299e-05,
189
+ "loss": 0.4353,
190
+ "step": 550
191
+ },
192
+ {
193
+ "epoch": 3.885135135135135,
194
+ "grad_norm": 93226.5390625,
195
+ "learning_rate": 8.800738007380073e-05,
196
+ "loss": 0.4183,
197
+ "step": 575
198
+ },
199
+ {
200
+ "epoch": 4.0,
201
+ "eval_accuracy": 0.8934131736526946,
202
+ "eval_loss": 0.43285271525382996,
203
+ "eval_runtime": 60.1768,
204
+ "eval_samples_per_second": 13.876,
205
+ "eval_steps_per_second": 0.449,
206
+ "step": 592
207
+ },
208
+ {
209
+ "epoch": 4.054054054054054,
210
+ "grad_norm": 104521.6328125,
211
+ "learning_rate": 8.708487084870849e-05,
212
+ "loss": 0.4753,
213
+ "step": 600
214
+ },
215
+ {
216
+ "epoch": 4.222972972972973,
217
+ "grad_norm": 67537.2265625,
218
+ "learning_rate": 8.616236162361624e-05,
219
+ "loss": 0.3917,
220
+ "step": 625
221
+ },
222
+ {
223
+ "epoch": 4.391891891891892,
224
+ "grad_norm": 150912.1875,
225
+ "learning_rate": 8.523985239852399e-05,
226
+ "loss": 0.4119,
227
+ "step": 650
228
+ },
229
+ {
230
+ "epoch": 4.5608108108108105,
231
+ "grad_norm": 73587.5078125,
232
+ "learning_rate": 8.431734317343174e-05,
233
+ "loss": 0.4247,
234
+ "step": 675
235
+ },
236
+ {
237
+ "epoch": 4.72972972972973,
238
+ "grad_norm": 115034.75,
239
+ "learning_rate": 8.339483394833948e-05,
240
+ "loss": 0.4285,
241
+ "step": 700
242
+ },
243
+ {
244
+ "epoch": 4.898648648648649,
245
+ "grad_norm": 99327.8828125,
246
+ "learning_rate": 8.247232472324724e-05,
247
+ "loss": 0.4203,
248
+ "step": 725
249
+ },
250
+ {
251
+ "epoch": 5.0,
252
+ "eval_accuracy": 0.918562874251497,
253
+ "eval_loss": 0.39791449904441833,
254
+ "eval_runtime": 60.3518,
255
+ "eval_samples_per_second": 13.836,
256
+ "eval_steps_per_second": 0.447,
257
+ "step": 740
258
+ },
259
+ {
260
+ "epoch": 5.0675675675675675,
261
+ "grad_norm": 198293.546875,
262
+ "learning_rate": 8.154981549815498e-05,
263
+ "loss": 0.4155,
264
+ "step": 750
265
+ },
266
+ {
267
+ "epoch": 5.236486486486487,
268
+ "grad_norm": 82787.34375,
269
+ "learning_rate": 8.062730627306274e-05,
270
+ "loss": 0.3911,
271
+ "step": 775
272
+ },
273
+ {
274
+ "epoch": 5.405405405405405,
275
+ "grad_norm": 114961.9765625,
276
+ "learning_rate": 7.970479704797048e-05,
277
+ "loss": 0.4102,
278
+ "step": 800
279
+ },
280
+ {
281
+ "epoch": 5.574324324324325,
282
+ "grad_norm": 153899.546875,
283
+ "learning_rate": 7.878228782287823e-05,
284
+ "loss": 0.419,
285
+ "step": 825
286
+ },
287
+ {
288
+ "epoch": 5.743243243243243,
289
+ "grad_norm": 108072.7109375,
290
+ "learning_rate": 7.785977859778598e-05,
291
+ "loss": 0.4064,
292
+ "step": 850
293
+ },
294
+ {
295
+ "epoch": 5.912162162162162,
296
+ "grad_norm": 73436.2421875,
297
+ "learning_rate": 7.693726937269373e-05,
298
+ "loss": 0.4073,
299
+ "step": 875
300
+ },
301
+ {
302
+ "epoch": 6.0,
303
+ "eval_accuracy": 0.9149700598802395,
304
+ "eval_loss": 0.39525091648101807,
305
+ "eval_runtime": 59.9209,
306
+ "eval_samples_per_second": 13.935,
307
+ "eval_steps_per_second": 0.451,
308
+ "step": 888
309
+ },
310
+ {
311
+ "epoch": 6.081081081081081,
312
+ "grad_norm": 109643.8359375,
313
+ "learning_rate": 7.601476014760149e-05,
314
+ "loss": 0.4227,
315
+ "step": 900
316
+ },
317
+ {
318
+ "epoch": 6.25,
319
+ "grad_norm": 103467.765625,
320
+ "learning_rate": 7.509225092250923e-05,
321
+ "loss": 0.3968,
322
+ "step": 925
323
+ },
324
+ {
325
+ "epoch": 6.418918918918919,
326
+ "grad_norm": 114479.0859375,
327
+ "learning_rate": 7.416974169741697e-05,
328
+ "loss": 0.4118,
329
+ "step": 950
330
+ },
331
+ {
332
+ "epoch": 6.587837837837838,
333
+ "grad_norm": 171495.734375,
334
+ "learning_rate": 7.324723247232473e-05,
335
+ "loss": 0.4134,
336
+ "step": 975
337
+ },
338
+ {
339
+ "epoch": 6.756756756756757,
340
+ "grad_norm": 166568.453125,
341
+ "learning_rate": 7.232472324723247e-05,
342
+ "loss": 0.3839,
343
+ "step": 1000
344
+ },
345
+ {
346
+ "epoch": 6.925675675675675,
347
+ "grad_norm": 68976.8828125,
348
+ "learning_rate": 7.140221402214023e-05,
349
+ "loss": 0.3927,
350
+ "step": 1025
351
+ },
352
+ {
353
+ "epoch": 7.0,
354
+ "eval_accuracy": 0.9209580838323354,
355
+ "eval_loss": 0.39880236983299255,
356
+ "eval_runtime": 60.3856,
357
+ "eval_samples_per_second": 13.828,
358
+ "eval_steps_per_second": 0.447,
359
+ "step": 1036
360
+ },
361
+ {
362
+ "epoch": 7.094594594594595,
363
+ "grad_norm": 101431.9921875,
364
+ "learning_rate": 7.047970479704797e-05,
365
+ "loss": 0.4122,
366
+ "step": 1050
367
+ },
368
+ {
369
+ "epoch": 7.263513513513513,
370
+ "grad_norm": 44332.38671875,
371
+ "learning_rate": 6.955719557195572e-05,
372
+ "loss": 0.4072,
373
+ "step": 1075
374
+ },
375
+ {
376
+ "epoch": 7.4324324324324325,
377
+ "grad_norm": 120717.484375,
378
+ "learning_rate": 6.863468634686348e-05,
379
+ "loss": 0.4207,
380
+ "step": 1100
381
+ },
382
+ {
383
+ "epoch": 7.601351351351351,
384
+ "grad_norm": 141817.53125,
385
+ "learning_rate": 6.771217712177122e-05,
386
+ "loss": 0.3748,
387
+ "step": 1125
388
+ },
389
+ {
390
+ "epoch": 7.77027027027027,
391
+ "grad_norm": 108992.875,
392
+ "learning_rate": 6.678966789667896e-05,
393
+ "loss": 0.3973,
394
+ "step": 1150
395
+ },
396
+ {
397
+ "epoch": 7.9391891891891895,
398
+ "grad_norm": 125266.5390625,
399
+ "learning_rate": 6.586715867158672e-05,
400
+ "loss": 0.3931,
401
+ "step": 1175
402
+ },
403
+ {
404
+ "epoch": 8.0,
405
+ "eval_accuracy": 0.9173652694610779,
406
+ "eval_loss": 0.4065897464752197,
407
+ "eval_runtime": 59.0702,
408
+ "eval_samples_per_second": 14.136,
409
+ "eval_steps_per_second": 0.457,
410
+ "step": 1184
411
+ },
412
+ {
413
+ "epoch": 8.108108108108109,
414
+ "grad_norm": 79784.984375,
415
+ "learning_rate": 6.494464944649446e-05,
416
+ "loss": 0.3869,
417
+ "step": 1200
418
+ },
419
+ {
420
+ "epoch": 8.277027027027026,
421
+ "grad_norm": 58690.61328125,
422
+ "learning_rate": 6.402214022140222e-05,
423
+ "loss": 0.3796,
424
+ "step": 1225
425
+ },
426
+ {
427
+ "epoch": 8.445945945945946,
428
+ "grad_norm": 79699.40625,
429
+ "learning_rate": 6.309963099630997e-05,
430
+ "loss": 0.4066,
431
+ "step": 1250
432
+ },
433
+ {
434
+ "epoch": 8.614864864864865,
435
+ "grad_norm": 116672.609375,
436
+ "learning_rate": 6.217712177121771e-05,
437
+ "loss": 0.3723,
438
+ "step": 1275
439
+ },
440
+ {
441
+ "epoch": 8.783783783783784,
442
+ "grad_norm": 84205.125,
443
+ "learning_rate": 6.125461254612547e-05,
444
+ "loss": 0.419,
445
+ "step": 1300
446
+ },
447
+ {
448
+ "epoch": 8.952702702702704,
449
+ "grad_norm": 194455.796875,
450
+ "learning_rate": 6.033210332103322e-05,
451
+ "loss": 0.4225,
452
+ "step": 1325
453
+ },
454
+ {
455
+ "epoch": 9.0,
456
+ "eval_accuracy": 0.9221556886227545,
457
+ "eval_loss": 0.39390280842781067,
458
+ "eval_runtime": 59.2665,
459
+ "eval_samples_per_second": 14.089,
460
+ "eval_steps_per_second": 0.456,
461
+ "step": 1332
462
+ },
463
+ {
464
+ "epoch": 9.121621621621621,
465
+ "grad_norm": 124840.765625,
466
+ "learning_rate": 5.940959409594096e-05,
467
+ "loss": 0.3988,
468
+ "step": 1350
469
+ },
470
+ {
471
+ "epoch": 9.29054054054054,
472
+ "grad_norm": 166515.8125,
473
+ "learning_rate": 5.848708487084871e-05,
474
+ "loss": 0.4045,
475
+ "step": 1375
476
+ },
477
+ {
478
+ "epoch": 9.45945945945946,
479
+ "grad_norm": 69126.875,
480
+ "learning_rate": 5.756457564575646e-05,
481
+ "loss": 0.3878,
482
+ "step": 1400
483
+ },
484
+ {
485
+ "epoch": 9.628378378378379,
486
+ "grad_norm": 93407.296875,
487
+ "learning_rate": 5.664206642066421e-05,
488
+ "loss": 0.3846,
489
+ "step": 1425
490
+ },
491
+ {
492
+ "epoch": 9.797297297297296,
493
+ "grad_norm": 70069.578125,
494
+ "learning_rate": 5.5719557195571956e-05,
495
+ "loss": 0.4031,
496
+ "step": 1450
497
+ },
498
+ {
499
+ "epoch": 9.966216216216216,
500
+ "grad_norm": 89726.5859375,
501
+ "learning_rate": 5.479704797047971e-05,
502
+ "loss": 0.3768,
503
+ "step": 1475
504
+ },
505
+ {
506
+ "epoch": 10.0,
507
+ "eval_accuracy": 0.911377245508982,
508
+ "eval_loss": 0.404273122549057,
509
+ "eval_runtime": 59.2046,
510
+ "eval_samples_per_second": 14.104,
511
+ "eval_steps_per_second": 0.456,
512
+ "step": 1480
513
+ },
514
+ {
515
+ "epoch": 10.135135135135135,
516
+ "grad_norm": 50900.421875,
517
+ "learning_rate": 5.387453874538746e-05,
518
+ "loss": 0.3971,
519
+ "step": 1500
520
+ },
521
+ {
522
+ "epoch": 10.304054054054054,
523
+ "grad_norm": 195171.375,
524
+ "learning_rate": 5.295202952029521e-05,
525
+ "loss": 0.4006,
526
+ "step": 1525
527
+ },
528
+ {
529
+ "epoch": 10.472972972972974,
530
+ "grad_norm": 133812.78125,
531
+ "learning_rate": 5.202952029520295e-05,
532
+ "loss": 0.3527,
533
+ "step": 1550
534
+ },
535
+ {
536
+ "epoch": 10.641891891891891,
537
+ "grad_norm": 77933.1328125,
538
+ "learning_rate": 5.11070110701107e-05,
539
+ "loss": 0.377,
540
+ "step": 1575
541
+ },
542
+ {
543
+ "epoch": 10.81081081081081,
544
+ "grad_norm": 141872.90625,
545
+ "learning_rate": 5.018450184501845e-05,
546
+ "loss": 0.4182,
547
+ "step": 1600
548
+ },
549
+ {
550
+ "epoch": 10.97972972972973,
551
+ "grad_norm": 105366.984375,
552
+ "learning_rate": 4.92619926199262e-05,
553
+ "loss": 0.3918,
554
+ "step": 1625
555
+ },
556
+ {
557
+ "epoch": 11.0,
558
+ "eval_accuracy": 0.9101796407185628,
559
+ "eval_loss": 0.4043692350387573,
560
+ "eval_runtime": 58.8135,
561
+ "eval_samples_per_second": 14.197,
562
+ "eval_steps_per_second": 0.459,
563
+ "step": 1628
564
+ },
565
+ {
566
+ "epoch": 11.14864864864865,
567
+ "grad_norm": 102680.625,
568
+ "learning_rate": 4.833948339483395e-05,
569
+ "loss": 0.4068,
570
+ "step": 1650
571
+ },
572
+ {
573
+ "epoch": 11.317567567567568,
574
+ "grad_norm": 54038.0625,
575
+ "learning_rate": 4.74169741697417e-05,
576
+ "loss": 0.3948,
577
+ "step": 1675
578
+ },
579
+ {
580
+ "epoch": 11.486486486486486,
581
+ "grad_norm": 104827.5078125,
582
+ "learning_rate": 4.6494464944649444e-05,
583
+ "loss": 0.3606,
584
+ "step": 1700
585
+ },
586
+ {
587
+ "epoch": 11.655405405405405,
588
+ "grad_norm": 120384.34375,
589
+ "learning_rate": 4.55719557195572e-05,
590
+ "loss": 0.3815,
591
+ "step": 1725
592
+ },
593
+ {
594
+ "epoch": 11.824324324324325,
595
+ "grad_norm": 236821.96875,
596
+ "learning_rate": 4.464944649446495e-05,
597
+ "loss": 0.3613,
598
+ "step": 1750
599
+ },
600
+ {
601
+ "epoch": 11.993243243243244,
602
+ "grad_norm": 83007.3359375,
603
+ "learning_rate": 4.37269372693727e-05,
604
+ "loss": 0.398,
605
+ "step": 1775
606
+ },
607
+ {
608
+ "epoch": 12.0,
609
+ "eval_accuracy": 0.9173652694610779,
610
+ "eval_loss": 0.3927362263202667,
611
+ "eval_runtime": 59.8526,
612
+ "eval_samples_per_second": 13.951,
613
+ "eval_steps_per_second": 0.451,
614
+ "step": 1776
615
+ },
616
+ {
617
+ "epoch": 12.162162162162161,
618
+ "grad_norm": 114086.703125,
619
+ "learning_rate": 4.280442804428044e-05,
620
+ "loss": 0.3695,
621
+ "step": 1800
622
+ },
623
+ {
624
+ "epoch": 12.33108108108108,
625
+ "grad_norm": 189440.21875,
626
+ "learning_rate": 4.1881918819188195e-05,
627
+ "loss": 0.3917,
628
+ "step": 1825
629
+ },
630
+ {
631
+ "epoch": 12.5,
632
+ "grad_norm": 77842.9921875,
633
+ "learning_rate": 4.0959409594095944e-05,
634
+ "loss": 0.3908,
635
+ "step": 1850
636
+ },
637
+ {
638
+ "epoch": 12.66891891891892,
639
+ "grad_norm": 106204.4609375,
640
+ "learning_rate": 4.003690036900369e-05,
641
+ "loss": 0.4054,
642
+ "step": 1875
643
+ },
644
+ {
645
+ "epoch": 12.837837837837839,
646
+ "grad_norm": 79211.3125,
647
+ "learning_rate": 3.911439114391144e-05,
648
+ "loss": 0.381,
649
+ "step": 1900
650
+ },
651
+ {
652
+ "epoch": 13.0,
653
+ "eval_accuracy": 0.9173652694610779,
654
+ "eval_loss": 0.39785751700401306,
655
+ "eval_runtime": 59.3643,
656
+ "eval_samples_per_second": 14.066,
657
+ "eval_steps_per_second": 0.455,
658
+ "step": 1924
659
+ },
660
+ {
661
+ "epoch": 13.006756756756756,
662
+ "grad_norm": 96323.5703125,
663
+ "learning_rate": 3.819188191881919e-05,
664
+ "loss": 0.3419,
665
+ "step": 1925
666
+ },
667
+ {
668
+ "epoch": 13.175675675675675,
669
+ "grad_norm": 179315.421875,
670
+ "learning_rate": 3.726937269372694e-05,
671
+ "loss": 0.3987,
672
+ "step": 1950
673
+ },
674
+ {
675
+ "epoch": 13.344594594594595,
676
+ "grad_norm": 99669.9609375,
677
+ "learning_rate": 3.634686346863469e-05,
678
+ "loss": 0.3626,
679
+ "step": 1975
680
+ },
681
+ {
682
+ "epoch": 13.513513513513514,
683
+ "grad_norm": 90959.078125,
684
+ "learning_rate": 3.542435424354244e-05,
685
+ "loss": 0.3744,
686
+ "step": 2000
687
+ },
688
+ {
689
+ "epoch": 13.682432432432432,
690
+ "grad_norm": 123356.265625,
691
+ "learning_rate": 3.4501845018450186e-05,
692
+ "loss": 0.3613,
693
+ "step": 2025
694
+ },
695
+ {
696
+ "epoch": 13.85135135135135,
697
+ "grad_norm": 62648.0234375,
698
+ "learning_rate": 3.3579335793357934e-05,
699
+ "loss": 0.3817,
700
+ "step": 2050
701
+ },
702
+ {
703
+ "epoch": 14.0,
704
+ "eval_accuracy": 0.9137724550898204,
705
+ "eval_loss": 0.4134121239185333,
706
+ "eval_runtime": 60.0106,
707
+ "eval_samples_per_second": 13.914,
708
+ "eval_steps_per_second": 0.45,
709
+ "step": 2072
710
+ },
711
+ {
712
+ "epoch": 14.02027027027027,
713
+ "grad_norm": 104165.796875,
714
+ "learning_rate": 3.265682656826568e-05,
715
+ "loss": 0.3751,
716
+ "step": 2075
717
+ },
718
+ {
719
+ "epoch": 14.18918918918919,
720
+ "grad_norm": 69535.90625,
721
+ "learning_rate": 3.173431734317343e-05,
722
+ "loss": 0.3675,
723
+ "step": 2100
724
+ },
725
+ {
726
+ "epoch": 14.358108108108109,
727
+ "grad_norm": 103158.5,
728
+ "learning_rate": 3.081180811808118e-05,
729
+ "loss": 0.39,
730
+ "step": 2125
731
+ },
732
+ {
733
+ "epoch": 14.527027027027026,
734
+ "grad_norm": 68135.5859375,
735
+ "learning_rate": 2.9889298892988933e-05,
736
+ "loss": 0.3658,
737
+ "step": 2150
738
+ },
739
+ {
740
+ "epoch": 14.695945945945946,
741
+ "grad_norm": 167864.78125,
742
+ "learning_rate": 2.8966789667896682e-05,
743
+ "loss": 0.3857,
744
+ "step": 2175
745
+ },
746
+ {
747
+ "epoch": 14.864864864864865,
748
+ "grad_norm": 98201.515625,
749
+ "learning_rate": 2.8044280442804427e-05,
750
+ "loss": 0.3815,
751
+ "step": 2200
752
+ },
753
+ {
754
+ "epoch": 15.0,
755
+ "eval_accuracy": 0.9173652694610779,
756
+ "eval_loss": 0.40676751732826233,
757
+ "eval_runtime": 58.4707,
758
+ "eval_samples_per_second": 14.281,
759
+ "eval_steps_per_second": 0.462,
760
+ "step": 2220
761
+ },
762
+ {
763
+ "epoch": 15.033783783783784,
764
+ "grad_norm": 186007.90625,
765
+ "learning_rate": 2.7121771217712176e-05,
766
+ "loss": 0.3717,
767
+ "step": 2225
768
+ },
769
+ {
770
+ "epoch": 15.202702702702704,
771
+ "grad_norm": 157017.15625,
772
+ "learning_rate": 2.619926199261993e-05,
773
+ "loss": 0.3717,
774
+ "step": 2250
775
+ },
776
+ {
777
+ "epoch": 15.371621621621621,
778
+ "grad_norm": 74874.7109375,
779
+ "learning_rate": 2.5276752767527677e-05,
780
+ "loss": 0.3537,
781
+ "step": 2275
782
+ },
783
+ {
784
+ "epoch": 15.54054054054054,
785
+ "grad_norm": 92439.0078125,
786
+ "learning_rate": 2.4354243542435426e-05,
787
+ "loss": 0.3535,
788
+ "step": 2300
789
+ },
790
+ {
791
+ "epoch": 15.70945945945946,
792
+ "grad_norm": 164555.34375,
793
+ "learning_rate": 2.3431734317343175e-05,
794
+ "loss": 0.3645,
795
+ "step": 2325
796
+ },
797
+ {
798
+ "epoch": 15.878378378378379,
799
+ "grad_norm": 91601.59375,
800
+ "learning_rate": 2.2509225092250924e-05,
801
+ "loss": 0.3774,
802
+ "step": 2350
803
+ },
804
+ {
805
+ "epoch": 16.0,
806
+ "eval_accuracy": 0.9233532934131736,
807
+ "eval_loss": 0.39439886808395386,
808
+ "eval_runtime": 58.9596,
809
+ "eval_samples_per_second": 14.162,
810
+ "eval_steps_per_second": 0.458,
811
+ "step": 2368
812
+ },
813
+ {
814
+ "epoch": 16.0472972972973,
815
+ "grad_norm": 82947.125,
816
+ "learning_rate": 2.1586715867158673e-05,
817
+ "loss": 0.3644,
818
+ "step": 2375
819
+ },
820
+ {
821
+ "epoch": 16.216216216216218,
822
+ "grad_norm": 77509.625,
823
+ "learning_rate": 2.066420664206642e-05,
824
+ "loss": 0.3418,
825
+ "step": 2400
826
+ },
827
+ {
828
+ "epoch": 16.385135135135137,
829
+ "grad_norm": 63176.84765625,
830
+ "learning_rate": 1.974169741697417e-05,
831
+ "loss": 0.3502,
832
+ "step": 2425
833
+ },
834
+ {
835
+ "epoch": 16.554054054054053,
836
+ "grad_norm": 194086.15625,
837
+ "learning_rate": 1.881918819188192e-05,
838
+ "loss": 0.3788,
839
+ "step": 2450
840
+ },
841
+ {
842
+ "epoch": 16.722972972972972,
843
+ "grad_norm": 81391.1171875,
844
+ "learning_rate": 1.7896678966789668e-05,
845
+ "loss": 0.347,
846
+ "step": 2475
847
+ },
848
+ {
849
+ "epoch": 16.89189189189189,
850
+ "grad_norm": 34088.36328125,
851
+ "learning_rate": 1.6974169741697417e-05,
852
+ "loss": 0.3499,
853
+ "step": 2500
854
+ },
855
+ {
856
+ "epoch": 17.0,
857
+ "eval_accuracy": 0.9209580838323354,
858
+ "eval_loss": 0.3971590995788574,
859
+ "eval_runtime": 59.2527,
860
+ "eval_samples_per_second": 14.092,
861
+ "eval_steps_per_second": 0.456,
862
+ "step": 2516
863
+ },
864
+ {
865
+ "epoch": 17.06081081081081,
866
+ "grad_norm": 151931.296875,
867
+ "learning_rate": 1.6051660516605166e-05,
868
+ "loss": 0.3927,
869
+ "step": 2525
870
+ },
871
+ {
872
+ "epoch": 17.22972972972973,
873
+ "grad_norm": 76409.84375,
874
+ "learning_rate": 1.5129151291512916e-05,
875
+ "loss": 0.3497,
876
+ "step": 2550
877
+ },
878
+ {
879
+ "epoch": 17.39864864864865,
880
+ "grad_norm": 65936.53125,
881
+ "learning_rate": 1.4206642066420663e-05,
882
+ "loss": 0.363,
883
+ "step": 2575
884
+ },
885
+ {
886
+ "epoch": 17.56756756756757,
887
+ "grad_norm": 50398.3203125,
888
+ "learning_rate": 1.3284132841328414e-05,
889
+ "loss": 0.3499,
890
+ "step": 2600
891
+ },
892
+ {
893
+ "epoch": 17.736486486486488,
894
+ "grad_norm": 109634.046875,
895
+ "learning_rate": 1.2361623616236164e-05,
896
+ "loss": 0.337,
897
+ "step": 2625
898
+ },
899
+ {
900
+ "epoch": 17.905405405405407,
901
+ "grad_norm": 40496.69921875,
902
+ "learning_rate": 1.1439114391143913e-05,
903
+ "loss": 0.3825,
904
+ "step": 2650
905
+ },
906
+ {
907
+ "epoch": 18.0,
908
+ "eval_accuracy": 0.9197604790419162,
909
+ "eval_loss": 0.4014655351638794,
910
+ "eval_runtime": 59.3898,
911
+ "eval_samples_per_second": 14.06,
912
+ "eval_steps_per_second": 0.455,
913
+ "step": 2664
914
+ },
915
+ {
916
+ "epoch": 18.074324324324323,
917
+ "grad_norm": 117493.03125,
918
+ "learning_rate": 1.0516605166051662e-05,
919
+ "loss": 0.3519,
920
+ "step": 2675
921
+ },
922
+ {
923
+ "epoch": 18.243243243243242,
924
+ "grad_norm": 46973.1875,
925
+ "learning_rate": 9.59409594095941e-06,
926
+ "loss": 0.3237,
927
+ "step": 2700
928
+ },
929
+ {
930
+ "epoch": 18.41216216216216,
931
+ "grad_norm": 114745.4609375,
932
+ "learning_rate": 8.67158671586716e-06,
933
+ "loss": 0.3714,
934
+ "step": 2725
935
+ },
936
+ {
937
+ "epoch": 18.58108108108108,
938
+ "grad_norm": 38971.9296875,
939
+ "learning_rate": 7.749077490774908e-06,
940
+ "loss": 0.3231,
941
+ "step": 2750
942
+ },
943
+ {
944
+ "epoch": 18.75,
945
+ "grad_norm": 156186.84375,
946
+ "learning_rate": 6.826568265682657e-06,
947
+ "loss": 0.3416,
948
+ "step": 2775
949
+ },
950
+ {
951
+ "epoch": 18.91891891891892,
952
+ "grad_norm": 76312.9921875,
953
+ "learning_rate": 5.904059040590406e-06,
954
+ "loss": 0.3731,
955
+ "step": 2800
956
+ },
957
+ {
958
+ "epoch": 19.0,
959
+ "eval_accuracy": 0.918562874251497,
960
+ "eval_loss": 0.39593929052352905,
961
+ "eval_runtime": 58.8099,
962
+ "eval_samples_per_second": 14.198,
963
+ "eval_steps_per_second": 0.459,
964
+ "step": 2812
965
+ },
966
+ {
967
+ "epoch": 19.08783783783784,
968
+ "grad_norm": 91183.2109375,
969
+ "learning_rate": 4.981549815498155e-06,
970
+ "loss": 0.3723,
971
+ "step": 2825
972
+ },
973
+ {
974
+ "epoch": 19.256756756756758,
975
+ "grad_norm": 80640.0234375,
976
+ "learning_rate": 4.059040590405904e-06,
977
+ "loss": 0.3349,
978
+ "step": 2850
979
+ },
980
+ {
981
+ "epoch": 19.425675675675677,
982
+ "grad_norm": 89848.125,
983
+ "learning_rate": 3.136531365313653e-06,
984
+ "loss": 0.3679,
985
+ "step": 2875
986
+ },
987
+ {
988
+ "epoch": 19.594594594594593,
989
+ "grad_norm": 107155.53125,
990
+ "learning_rate": 2.2140221402214023e-06,
991
+ "loss": 0.3463,
992
+ "step": 2900
993
+ },
994
+ {
995
+ "epoch": 19.763513513513512,
996
+ "grad_norm": 128204.28125,
997
+ "learning_rate": 1.2915129151291513e-06,
998
+ "loss": 0.3549,
999
+ "step": 2925
1000
+ },
1001
+ {
1002
+ "epoch": 19.93243243243243,
1003
+ "grad_norm": 91720.7734375,
1004
+ "learning_rate": 3.690036900369004e-07,
1005
+ "loss": 0.323,
1006
+ "step": 2950
1007
+ },
1008
+ {
1009
+ "epoch": 20.0,
1010
+ "eval_accuracy": 0.9209580838323354,
1011
+ "eval_loss": 0.3986169397830963,
1012
+ "eval_runtime": 58.2229,
1013
+ "eval_samples_per_second": 14.341,
1014
+ "eval_steps_per_second": 0.464,
1015
+ "step": 2960
1016
+ },
1017
+ {
1018
+ "epoch": 20.0,
1019
+ "step": 2960,
1020
+ "total_flos": 0.0,
1021
+ "train_loss": 0.43191270973231344,
1022
+ "train_runtime": 11059.7547,
1023
+ "train_samples_per_second": 8.552,
1024
+ "train_steps_per_second": 0.268
1025
+ }
1026
+ ],
1027
+ "logging_steps": 25,
1028
+ "max_steps": 2960,
1029
+ "num_input_tokens_seen": 0,
1030
+ "num_train_epochs": 20,
1031
+ "save_steps": 500,
1032
+ "stateful_callbacks": {
1033
+ "TrainerControl": {
1034
+ "args": {
1035
+ "should_epoch_stop": false,
1036
+ "should_evaluate": false,
1037
+ "should_log": false,
1038
+ "should_save": true,
1039
+ "should_training_stop": true
1040
+ },
1041
+ "attributes": {}
1042
+ }
1043
+ },
1044
+ "total_flos": 0.0,
1045
+ "train_batch_size": 32,
1046
+ "trial_name": null,
1047
+ "trial_params": null
1048
+ }