Augusto777 commited on
Commit
13fb073
·
verified ·
1 Parent(s): e880d41

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.6521739130434783
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 [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.3849
36
- - Accuracy: 0.6522
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.7391304347826086
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 [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.7057
36
+ - Accuracy: 0.7391
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 73.85,
3
+ "eval_accuracy": 0.7391304347826086,
4
+ "eval_loss": 0.7056962847709656,
5
+ "eval_runtime": 1.0391,
6
+ "eval_samples_per_second": 44.271,
7
+ "eval_steps_per_second": 1.925,
8
+ "train_loss": 0.3953114648660024,
9
+ "train_runtime": 812.6336,
10
+ "train_samples_per_second": 80.627,
11
+ "train_steps_per_second": 0.591
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 73.85,
3
+ "eval_accuracy": 0.7391304347826086,
4
+ "eval_loss": 0.7056962847709656,
5
+ "eval_runtime": 1.0391,
6
+ "eval_samples_per_second": 44.271,
7
+ "eval_steps_per_second": 1.925
8
+ }
runs/Jun12_11-10-47_DESKTOP-SKBE9FB/events.out.tfevents.1718213091.DESKTOP-SKBE9FB.6148.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5712bf259a7419ccbf76fa976a7c1f96c3c5026aa41f6b2712c110b0645121bc
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 73.85,
3
+ "train_loss": 0.3953114648660024,
4
+ "train_runtime": 812.6336,
5
+ "train_samples_per_second": 80.627,
6
+ "train_steps_per_second": 0.591
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,984 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7391304347826086,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-ve-U13-b-80b\\checkpoint-110",
4
+ "epoch": 73.84615384615384,
5
+ "eval_steps": 500,
6
+ "global_step": 480,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.92,
13
+ "eval_accuracy": 0.13043478260869565,
14
+ "eval_loss": 1.386070728302002,
15
+ "eval_runtime": 0.764,
16
+ "eval_samples_per_second": 60.21,
17
+ "eval_steps_per_second": 2.618,
18
+ "step": 6
19
+ },
20
+ {
21
+ "epoch": 1.54,
22
+ "learning_rate": 1.0416666666666668e-05,
23
+ "loss": 1.386,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "eval_accuracy": 0.43478260869565216,
29
+ "eval_loss": 1.3836690187454224,
30
+ "eval_runtime": 0.7849,
31
+ "eval_samples_per_second": 58.605,
32
+ "eval_steps_per_second": 2.548,
33
+ "step": 13
34
+ },
35
+ {
36
+ "epoch": 2.92,
37
+ "eval_accuracy": 0.30434782608695654,
38
+ "eval_loss": 1.377610445022583,
39
+ "eval_runtime": 0.8024,
40
+ "eval_samples_per_second": 57.325,
41
+ "eval_steps_per_second": 2.492,
42
+ "step": 19
43
+ },
44
+ {
45
+ "epoch": 3.08,
46
+ "learning_rate": 2.0833333333333336e-05,
47
+ "loss": 1.3807,
48
+ "step": 20
49
+ },
50
+ {
51
+ "epoch": 4.0,
52
+ "eval_accuracy": 0.2391304347826087,
53
+ "eval_loss": 1.3570277690887451,
54
+ "eval_runtime": 0.7958,
55
+ "eval_samples_per_second": 57.804,
56
+ "eval_steps_per_second": 2.513,
57
+ "step": 26
58
+ },
59
+ {
60
+ "epoch": 4.62,
61
+ "learning_rate": 3.125e-05,
62
+ "loss": 1.3386,
63
+ "step": 30
64
+ },
65
+ {
66
+ "epoch": 4.92,
67
+ "eval_accuracy": 0.21739130434782608,
68
+ "eval_loss": 1.3224332332611084,
69
+ "eval_runtime": 0.8074,
70
+ "eval_samples_per_second": 56.972,
71
+ "eval_steps_per_second": 2.477,
72
+ "step": 32
73
+ },
74
+ {
75
+ "epoch": 6.0,
76
+ "eval_accuracy": 0.34782608695652173,
77
+ "eval_loss": 1.2084624767303467,
78
+ "eval_runtime": 0.7704,
79
+ "eval_samples_per_second": 59.709,
80
+ "eval_steps_per_second": 2.596,
81
+ "step": 39
82
+ },
83
+ {
84
+ "epoch": 6.15,
85
+ "learning_rate": 4.166666666666667e-05,
86
+ "loss": 1.209,
87
+ "step": 40
88
+ },
89
+ {
90
+ "epoch": 6.92,
91
+ "eval_accuracy": 0.45652173913043476,
92
+ "eval_loss": 1.1055656671524048,
93
+ "eval_runtime": 0.743,
94
+ "eval_samples_per_second": 61.909,
95
+ "eval_steps_per_second": 2.692,
96
+ "step": 45
97
+ },
98
+ {
99
+ "epoch": 7.69,
100
+ "learning_rate": 4.976851851851852e-05,
101
+ "loss": 1.0561,
102
+ "step": 50
103
+ },
104
+ {
105
+ "epoch": 8.0,
106
+ "eval_accuracy": 0.4782608695652174,
107
+ "eval_loss": 1.0506606101989746,
108
+ "eval_runtime": 0.8037,
109
+ "eval_samples_per_second": 57.235,
110
+ "eval_steps_per_second": 2.488,
111
+ "step": 52
112
+ },
113
+ {
114
+ "epoch": 8.92,
115
+ "eval_accuracy": 0.45652173913043476,
116
+ "eval_loss": 1.0161159038543701,
117
+ "eval_runtime": 0.8335,
118
+ "eval_samples_per_second": 55.191,
119
+ "eval_steps_per_second": 2.4,
120
+ "step": 58
121
+ },
122
+ {
123
+ "epoch": 9.23,
124
+ "learning_rate": 4.8611111111111115e-05,
125
+ "loss": 0.9157,
126
+ "step": 60
127
+ },
128
+ {
129
+ "epoch": 10.0,
130
+ "eval_accuracy": 0.6304347826086957,
131
+ "eval_loss": 0.8612546324729919,
132
+ "eval_runtime": 0.7953,
133
+ "eval_samples_per_second": 57.84,
134
+ "eval_steps_per_second": 2.515,
135
+ "step": 65
136
+ },
137
+ {
138
+ "epoch": 10.77,
139
+ "learning_rate": 4.745370370370371e-05,
140
+ "loss": 0.8002,
141
+ "step": 70
142
+ },
143
+ {
144
+ "epoch": 10.92,
145
+ "eval_accuracy": 0.5652173913043478,
146
+ "eval_loss": 0.9073187112808228,
147
+ "eval_runtime": 0.8049,
148
+ "eval_samples_per_second": 57.148,
149
+ "eval_steps_per_second": 2.485,
150
+ "step": 71
151
+ },
152
+ {
153
+ "epoch": 12.0,
154
+ "eval_accuracy": 0.6304347826086957,
155
+ "eval_loss": 0.8299533128738403,
156
+ "eval_runtime": 0.7627,
157
+ "eval_samples_per_second": 60.309,
158
+ "eval_steps_per_second": 2.622,
159
+ "step": 78
160
+ },
161
+ {
162
+ "epoch": 12.31,
163
+ "learning_rate": 4.62962962962963e-05,
164
+ "loss": 0.7181,
165
+ "step": 80
166
+ },
167
+ {
168
+ "epoch": 12.92,
169
+ "eval_accuracy": 0.5869565217391305,
170
+ "eval_loss": 0.8958278894424438,
171
+ "eval_runtime": 0.7599,
172
+ "eval_samples_per_second": 60.536,
173
+ "eval_steps_per_second": 2.632,
174
+ "step": 84
175
+ },
176
+ {
177
+ "epoch": 13.85,
178
+ "learning_rate": 4.5138888888888894e-05,
179
+ "loss": 0.6405,
180
+ "step": 90
181
+ },
182
+ {
183
+ "epoch": 14.0,
184
+ "eval_accuracy": 0.717391304347826,
185
+ "eval_loss": 0.8074582815170288,
186
+ "eval_runtime": 0.7518,
187
+ "eval_samples_per_second": 61.185,
188
+ "eval_steps_per_second": 2.66,
189
+ "step": 91
190
+ },
191
+ {
192
+ "epoch": 14.92,
193
+ "eval_accuracy": 0.6956521739130435,
194
+ "eval_loss": 0.7477785348892212,
195
+ "eval_runtime": 0.8063,
196
+ "eval_samples_per_second": 57.054,
197
+ "eval_steps_per_second": 2.481,
198
+ "step": 97
199
+ },
200
+ {
201
+ "epoch": 15.38,
202
+ "learning_rate": 4.3981481481481486e-05,
203
+ "loss": 0.6064,
204
+ "step": 100
205
+ },
206
+ {
207
+ "epoch": 16.0,
208
+ "eval_accuracy": 0.717391304347826,
209
+ "eval_loss": 0.7370060682296753,
210
+ "eval_runtime": 0.7799,
211
+ "eval_samples_per_second": 58.981,
212
+ "eval_steps_per_second": 2.564,
213
+ "step": 104
214
+ },
215
+ {
216
+ "epoch": 16.92,
217
+ "learning_rate": 4.282407407407408e-05,
218
+ "loss": 0.5556,
219
+ "step": 110
220
+ },
221
+ {
222
+ "epoch": 16.92,
223
+ "eval_accuracy": 0.7391304347826086,
224
+ "eval_loss": 0.7056962847709656,
225
+ "eval_runtime": 0.7596,
226
+ "eval_samples_per_second": 60.555,
227
+ "eval_steps_per_second": 2.633,
228
+ "step": 110
229
+ },
230
+ {
231
+ "epoch": 18.0,
232
+ "eval_accuracy": 0.6521739130434783,
233
+ "eval_loss": 0.7395027279853821,
234
+ "eval_runtime": 0.7798,
235
+ "eval_samples_per_second": 58.99,
236
+ "eval_steps_per_second": 2.565,
237
+ "step": 117
238
+ },
239
+ {
240
+ "epoch": 18.46,
241
+ "learning_rate": 4.166666666666667e-05,
242
+ "loss": 0.4822,
243
+ "step": 120
244
+ },
245
+ {
246
+ "epoch": 18.92,
247
+ "eval_accuracy": 0.6956521739130435,
248
+ "eval_loss": 0.8733614087104797,
249
+ "eval_runtime": 0.776,
250
+ "eval_samples_per_second": 59.279,
251
+ "eval_steps_per_second": 2.577,
252
+ "step": 123
253
+ },
254
+ {
255
+ "epoch": 20.0,
256
+ "learning_rate": 4.0509259259259265e-05,
257
+ "loss": 0.4241,
258
+ "step": 130
259
+ },
260
+ {
261
+ "epoch": 20.0,
262
+ "eval_accuracy": 0.6739130434782609,
263
+ "eval_loss": 0.999085545539856,
264
+ "eval_runtime": 0.7575,
265
+ "eval_samples_per_second": 60.726,
266
+ "eval_steps_per_second": 2.64,
267
+ "step": 130
268
+ },
269
+ {
270
+ "epoch": 20.92,
271
+ "eval_accuracy": 0.717391304347826,
272
+ "eval_loss": 0.8415805101394653,
273
+ "eval_runtime": 0.7877,
274
+ "eval_samples_per_second": 58.398,
275
+ "eval_steps_per_second": 2.539,
276
+ "step": 136
277
+ },
278
+ {
279
+ "epoch": 21.54,
280
+ "learning_rate": 3.935185185185186e-05,
281
+ "loss": 0.4307,
282
+ "step": 140
283
+ },
284
+ {
285
+ "epoch": 22.0,
286
+ "eval_accuracy": 0.6956521739130435,
287
+ "eval_loss": 0.9194854497909546,
288
+ "eval_runtime": 0.7525,
289
+ "eval_samples_per_second": 61.128,
290
+ "eval_steps_per_second": 2.658,
291
+ "step": 143
292
+ },
293
+ {
294
+ "epoch": 22.92,
295
+ "eval_accuracy": 0.6521739130434783,
296
+ "eval_loss": 0.9211203455924988,
297
+ "eval_runtime": 0.8883,
298
+ "eval_samples_per_second": 51.787,
299
+ "eval_steps_per_second": 2.252,
300
+ "step": 149
301
+ },
302
+ {
303
+ "epoch": 23.08,
304
+ "learning_rate": 3.8194444444444444e-05,
305
+ "loss": 0.381,
306
+ "step": 150
307
+ },
308
+ {
309
+ "epoch": 24.0,
310
+ "eval_accuracy": 0.6086956521739131,
311
+ "eval_loss": 0.9683218598365784,
312
+ "eval_runtime": 0.7845,
313
+ "eval_samples_per_second": 58.637,
314
+ "eval_steps_per_second": 2.549,
315
+ "step": 156
316
+ },
317
+ {
318
+ "epoch": 24.62,
319
+ "learning_rate": 3.7037037037037037e-05,
320
+ "loss": 0.3707,
321
+ "step": 160
322
+ },
323
+ {
324
+ "epoch": 24.92,
325
+ "eval_accuracy": 0.6739130434782609,
326
+ "eval_loss": 1.0067435503005981,
327
+ "eval_runtime": 0.7893,
328
+ "eval_samples_per_second": 58.283,
329
+ "eval_steps_per_second": 2.534,
330
+ "step": 162
331
+ },
332
+ {
333
+ "epoch": 26.0,
334
+ "eval_accuracy": 0.6521739130434783,
335
+ "eval_loss": 0.9793215394020081,
336
+ "eval_runtime": 0.7771,
337
+ "eval_samples_per_second": 59.195,
338
+ "eval_steps_per_second": 2.574,
339
+ "step": 169
340
+ },
341
+ {
342
+ "epoch": 26.15,
343
+ "learning_rate": 3.587962962962963e-05,
344
+ "loss": 0.3918,
345
+ "step": 170
346
+ },
347
+ {
348
+ "epoch": 26.92,
349
+ "eval_accuracy": 0.6739130434782609,
350
+ "eval_loss": 0.9757705926895142,
351
+ "eval_runtime": 0.7633,
352
+ "eval_samples_per_second": 60.262,
353
+ "eval_steps_per_second": 2.62,
354
+ "step": 175
355
+ },
356
+ {
357
+ "epoch": 27.69,
358
+ "learning_rate": 3.472222222222222e-05,
359
+ "loss": 0.3513,
360
+ "step": 180
361
+ },
362
+ {
363
+ "epoch": 28.0,
364
+ "eval_accuracy": 0.6739130434782609,
365
+ "eval_loss": 0.976148784160614,
366
+ "eval_runtime": 0.7679,
367
+ "eval_samples_per_second": 59.906,
368
+ "eval_steps_per_second": 2.605,
369
+ "step": 182
370
+ },
371
+ {
372
+ "epoch": 28.92,
373
+ "eval_accuracy": 0.6304347826086957,
374
+ "eval_loss": 1.074488878250122,
375
+ "eval_runtime": 0.7646,
376
+ "eval_samples_per_second": 60.16,
377
+ "eval_steps_per_second": 2.616,
378
+ "step": 188
379
+ },
380
+ {
381
+ "epoch": 29.23,
382
+ "learning_rate": 3.3564814814814815e-05,
383
+ "loss": 0.2739,
384
+ "step": 190
385
+ },
386
+ {
387
+ "epoch": 30.0,
388
+ "eval_accuracy": 0.6739130434782609,
389
+ "eval_loss": 1.0775023698806763,
390
+ "eval_runtime": 0.7662,
391
+ "eval_samples_per_second": 60.04,
392
+ "eval_steps_per_second": 2.61,
393
+ "step": 195
394
+ },
395
+ {
396
+ "epoch": 30.77,
397
+ "learning_rate": 3.240740740740741e-05,
398
+ "loss": 0.2882,
399
+ "step": 200
400
+ },
401
+ {
402
+ "epoch": 30.92,
403
+ "eval_accuracy": 0.6739130434782609,
404
+ "eval_loss": 1.1521120071411133,
405
+ "eval_runtime": 0.7664,
406
+ "eval_samples_per_second": 60.024,
407
+ "eval_steps_per_second": 2.61,
408
+ "step": 201
409
+ },
410
+ {
411
+ "epoch": 32.0,
412
+ "eval_accuracy": 0.6521739130434783,
413
+ "eval_loss": 1.207231879234314,
414
+ "eval_runtime": 0.7362,
415
+ "eval_samples_per_second": 62.485,
416
+ "eval_steps_per_second": 2.717,
417
+ "step": 208
418
+ },
419
+ {
420
+ "epoch": 32.31,
421
+ "learning_rate": 3.125e-05,
422
+ "loss": 0.2588,
423
+ "step": 210
424
+ },
425
+ {
426
+ "epoch": 32.92,
427
+ "eval_accuracy": 0.6739130434782609,
428
+ "eval_loss": 1.1374139785766602,
429
+ "eval_runtime": 0.7423,
430
+ "eval_samples_per_second": 61.972,
431
+ "eval_steps_per_second": 2.694,
432
+ "step": 214
433
+ },
434
+ {
435
+ "epoch": 33.85,
436
+ "learning_rate": 3.0092592592592593e-05,
437
+ "loss": 0.2498,
438
+ "step": 220
439
+ },
440
+ {
441
+ "epoch": 34.0,
442
+ "eval_accuracy": 0.6521739130434783,
443
+ "eval_loss": 1.2130507230758667,
444
+ "eval_runtime": 0.7716,
445
+ "eval_samples_per_second": 59.613,
446
+ "eval_steps_per_second": 2.592,
447
+ "step": 221
448
+ },
449
+ {
450
+ "epoch": 34.92,
451
+ "eval_accuracy": 0.7391304347826086,
452
+ "eval_loss": 1.130850911140442,
453
+ "eval_runtime": 0.76,
454
+ "eval_samples_per_second": 60.526,
455
+ "eval_steps_per_second": 2.632,
456
+ "step": 227
457
+ },
458
+ {
459
+ "epoch": 35.38,
460
+ "learning_rate": 2.8935185185185186e-05,
461
+ "loss": 0.2584,
462
+ "step": 230
463
+ },
464
+ {
465
+ "epoch": 36.0,
466
+ "eval_accuracy": 0.6956521739130435,
467
+ "eval_loss": 1.2827527523040771,
468
+ "eval_runtime": 0.773,
469
+ "eval_samples_per_second": 59.507,
470
+ "eval_steps_per_second": 2.587,
471
+ "step": 234
472
+ },
473
+ {
474
+ "epoch": 36.92,
475
+ "learning_rate": 2.777777777777778e-05,
476
+ "loss": 0.2228,
477
+ "step": 240
478
+ },
479
+ {
480
+ "epoch": 36.92,
481
+ "eval_accuracy": 0.6739130434782609,
482
+ "eval_loss": 1.1380703449249268,
483
+ "eval_runtime": 0.7667,
484
+ "eval_samples_per_second": 59.997,
485
+ "eval_steps_per_second": 2.609,
486
+ "step": 240
487
+ },
488
+ {
489
+ "epoch": 38.0,
490
+ "eval_accuracy": 0.6521739130434783,
491
+ "eval_loss": 1.211645483970642,
492
+ "eval_runtime": 0.7622,
493
+ "eval_samples_per_second": 60.348,
494
+ "eval_steps_per_second": 2.624,
495
+ "step": 247
496
+ },
497
+ {
498
+ "epoch": 38.46,
499
+ "learning_rate": 2.6620370370370372e-05,
500
+ "loss": 0.2408,
501
+ "step": 250
502
+ },
503
+ {
504
+ "epoch": 38.92,
505
+ "eval_accuracy": 0.6739130434782609,
506
+ "eval_loss": 1.19622004032135,
507
+ "eval_runtime": 0.759,
508
+ "eval_samples_per_second": 60.603,
509
+ "eval_steps_per_second": 2.635,
510
+ "step": 253
511
+ },
512
+ {
513
+ "epoch": 40.0,
514
+ "learning_rate": 2.5462962962962965e-05,
515
+ "loss": 0.2042,
516
+ "step": 260
517
+ },
518
+ {
519
+ "epoch": 40.0,
520
+ "eval_accuracy": 0.6739130434782609,
521
+ "eval_loss": 1.2557106018066406,
522
+ "eval_runtime": 0.736,
523
+ "eval_samples_per_second": 62.499,
524
+ "eval_steps_per_second": 2.717,
525
+ "step": 260
526
+ },
527
+ {
528
+ "epoch": 40.92,
529
+ "eval_accuracy": 0.6739130434782609,
530
+ "eval_loss": 1.3511183261871338,
531
+ "eval_runtime": 0.8239,
532
+ "eval_samples_per_second": 55.831,
533
+ "eval_steps_per_second": 2.427,
534
+ "step": 266
535
+ },
536
+ {
537
+ "epoch": 41.54,
538
+ "learning_rate": 2.4305555555555558e-05,
539
+ "loss": 0.2141,
540
+ "step": 270
541
+ },
542
+ {
543
+ "epoch": 42.0,
544
+ "eval_accuracy": 0.6304347826086957,
545
+ "eval_loss": 1.3635742664337158,
546
+ "eval_runtime": 0.7567,
547
+ "eval_samples_per_second": 60.794,
548
+ "eval_steps_per_second": 2.643,
549
+ "step": 273
550
+ },
551
+ {
552
+ "epoch": 42.92,
553
+ "eval_accuracy": 0.6304347826086957,
554
+ "eval_loss": 1.308355450630188,
555
+ "eval_runtime": 0.7361,
556
+ "eval_samples_per_second": 62.489,
557
+ "eval_steps_per_second": 2.717,
558
+ "step": 279
559
+ },
560
+ {
561
+ "epoch": 43.08,
562
+ "learning_rate": 2.314814814814815e-05,
563
+ "loss": 0.2135,
564
+ "step": 280
565
+ },
566
+ {
567
+ "epoch": 44.0,
568
+ "eval_accuracy": 0.6086956521739131,
569
+ "eval_loss": 1.384713053703308,
570
+ "eval_runtime": 0.7775,
571
+ "eval_samples_per_second": 59.161,
572
+ "eval_steps_per_second": 2.572,
573
+ "step": 286
574
+ },
575
+ {
576
+ "epoch": 44.62,
577
+ "learning_rate": 2.1990740740740743e-05,
578
+ "loss": 0.191,
579
+ "step": 290
580
+ },
581
+ {
582
+ "epoch": 44.92,
583
+ "eval_accuracy": 0.6956521739130435,
584
+ "eval_loss": 1.240804672241211,
585
+ "eval_runtime": 0.7487,
586
+ "eval_samples_per_second": 61.439,
587
+ "eval_steps_per_second": 2.671,
588
+ "step": 292
589
+ },
590
+ {
591
+ "epoch": 46.0,
592
+ "eval_accuracy": 0.717391304347826,
593
+ "eval_loss": 1.1749811172485352,
594
+ "eval_runtime": 0.8109,
595
+ "eval_samples_per_second": 56.73,
596
+ "eval_steps_per_second": 2.467,
597
+ "step": 299
598
+ },
599
+ {
600
+ "epoch": 46.15,
601
+ "learning_rate": 2.0833333333333336e-05,
602
+ "loss": 0.1833,
603
+ "step": 300
604
+ },
605
+ {
606
+ "epoch": 46.92,
607
+ "eval_accuracy": 0.6956521739130435,
608
+ "eval_loss": 1.18035089969635,
609
+ "eval_runtime": 0.8181,
610
+ "eval_samples_per_second": 56.228,
611
+ "eval_steps_per_second": 2.445,
612
+ "step": 305
613
+ },
614
+ {
615
+ "epoch": 47.69,
616
+ "learning_rate": 1.967592592592593e-05,
617
+ "loss": 0.189,
618
+ "step": 310
619
+ },
620
+ {
621
+ "epoch": 48.0,
622
+ "eval_accuracy": 0.717391304347826,
623
+ "eval_loss": 1.1867014169692993,
624
+ "eval_runtime": 0.7734,
625
+ "eval_samples_per_second": 59.478,
626
+ "eval_steps_per_second": 2.586,
627
+ "step": 312
628
+ },
629
+ {
630
+ "epoch": 48.92,
631
+ "eval_accuracy": 0.7391304347826086,
632
+ "eval_loss": 1.0623193979263306,
633
+ "eval_runtime": 0.7663,
634
+ "eval_samples_per_second": 60.026,
635
+ "eval_steps_per_second": 2.61,
636
+ "step": 318
637
+ },
638
+ {
639
+ "epoch": 49.23,
640
+ "learning_rate": 1.8518518518518518e-05,
641
+ "loss": 0.2196,
642
+ "step": 320
643
+ },
644
+ {
645
+ "epoch": 50.0,
646
+ "eval_accuracy": 0.6956521739130435,
647
+ "eval_loss": 1.2625775337219238,
648
+ "eval_runtime": 0.7498,
649
+ "eval_samples_per_second": 61.348,
650
+ "eval_steps_per_second": 2.667,
651
+ "step": 325
652
+ },
653
+ {
654
+ "epoch": 50.77,
655
+ "learning_rate": 1.736111111111111e-05,
656
+ "loss": 0.1505,
657
+ "step": 330
658
+ },
659
+ {
660
+ "epoch": 50.92,
661
+ "eval_accuracy": 0.6956521739130435,
662
+ "eval_loss": 1.2744964361190796,
663
+ "eval_runtime": 0.7827,
664
+ "eval_samples_per_second": 58.771,
665
+ "eval_steps_per_second": 2.555,
666
+ "step": 331
667
+ },
668
+ {
669
+ "epoch": 52.0,
670
+ "eval_accuracy": 0.6956521739130435,
671
+ "eval_loss": 1.3472591638565063,
672
+ "eval_runtime": 0.7536,
673
+ "eval_samples_per_second": 61.04,
674
+ "eval_steps_per_second": 2.654,
675
+ "step": 338
676
+ },
677
+ {
678
+ "epoch": 52.31,
679
+ "learning_rate": 1.6203703703703704e-05,
680
+ "loss": 0.1604,
681
+ "step": 340
682
+ },
683
+ {
684
+ "epoch": 52.92,
685
+ "eval_accuracy": 0.6521739130434783,
686
+ "eval_loss": 1.353513240814209,
687
+ "eval_runtime": 0.7485,
688
+ "eval_samples_per_second": 61.457,
689
+ "eval_steps_per_second": 2.672,
690
+ "step": 344
691
+ },
692
+ {
693
+ "epoch": 53.85,
694
+ "learning_rate": 1.5046296296296297e-05,
695
+ "loss": 0.1377,
696
+ "step": 350
697
+ },
698
+ {
699
+ "epoch": 54.0,
700
+ "eval_accuracy": 0.6521739130434783,
701
+ "eval_loss": 1.3873109817504883,
702
+ "eval_runtime": 0.7846,
703
+ "eval_samples_per_second": 58.626,
704
+ "eval_steps_per_second": 2.549,
705
+ "step": 351
706
+ },
707
+ {
708
+ "epoch": 54.92,
709
+ "eval_accuracy": 0.6521739130434783,
710
+ "eval_loss": 1.428697943687439,
711
+ "eval_runtime": 0.7641,
712
+ "eval_samples_per_second": 60.202,
713
+ "eval_steps_per_second": 2.617,
714
+ "step": 357
715
+ },
716
+ {
717
+ "epoch": 55.38,
718
+ "learning_rate": 1.388888888888889e-05,
719
+ "loss": 0.1752,
720
+ "step": 360
721
+ },
722
+ {
723
+ "epoch": 56.0,
724
+ "eval_accuracy": 0.6956521739130435,
725
+ "eval_loss": 1.30143404006958,
726
+ "eval_runtime": 0.7694,
727
+ "eval_samples_per_second": 59.786,
728
+ "eval_steps_per_second": 2.599,
729
+ "step": 364
730
+ },
731
+ {
732
+ "epoch": 56.92,
733
+ "learning_rate": 1.2731481481481482e-05,
734
+ "loss": 0.1684,
735
+ "step": 370
736
+ },
737
+ {
738
+ "epoch": 56.92,
739
+ "eval_accuracy": 0.6739130434782609,
740
+ "eval_loss": 1.3564342260360718,
741
+ "eval_runtime": 0.7829,
742
+ "eval_samples_per_second": 58.754,
743
+ "eval_steps_per_second": 2.555,
744
+ "step": 370
745
+ },
746
+ {
747
+ "epoch": 58.0,
748
+ "eval_accuracy": 0.6956521739130435,
749
+ "eval_loss": 1.4164601564407349,
750
+ "eval_runtime": 0.7693,
751
+ "eval_samples_per_second": 59.794,
752
+ "eval_steps_per_second": 2.6,
753
+ "step": 377
754
+ },
755
+ {
756
+ "epoch": 58.46,
757
+ "learning_rate": 1.1574074074074075e-05,
758
+ "loss": 0.1597,
759
+ "step": 380
760
+ },
761
+ {
762
+ "epoch": 58.92,
763
+ "eval_accuracy": 0.6739130434782609,
764
+ "eval_loss": 1.362408995628357,
765
+ "eval_runtime": 0.7996,
766
+ "eval_samples_per_second": 57.528,
767
+ "eval_steps_per_second": 2.501,
768
+ "step": 383
769
+ },
770
+ {
771
+ "epoch": 60.0,
772
+ "learning_rate": 1.0416666666666668e-05,
773
+ "loss": 0.1393,
774
+ "step": 390
775
+ },
776
+ {
777
+ "epoch": 60.0,
778
+ "eval_accuracy": 0.6956521739130435,
779
+ "eval_loss": 1.3018492460250854,
780
+ "eval_runtime": 0.7661,
781
+ "eval_samples_per_second": 60.042,
782
+ "eval_steps_per_second": 2.611,
783
+ "step": 390
784
+ },
785
+ {
786
+ "epoch": 60.92,
787
+ "eval_accuracy": 0.6739130434782609,
788
+ "eval_loss": 1.319698452949524,
789
+ "eval_runtime": 0.7596,
790
+ "eval_samples_per_second": 60.562,
791
+ "eval_steps_per_second": 2.633,
792
+ "step": 396
793
+ },
794
+ {
795
+ "epoch": 61.54,
796
+ "learning_rate": 9.259259259259259e-06,
797
+ "loss": 0.1347,
798
+ "step": 400
799
+ },
800
+ {
801
+ "epoch": 62.0,
802
+ "eval_accuracy": 0.6739130434782609,
803
+ "eval_loss": 1.3542139530181885,
804
+ "eval_runtime": 0.7528,
805
+ "eval_samples_per_second": 61.108,
806
+ "eval_steps_per_second": 2.657,
807
+ "step": 403
808
+ },
809
+ {
810
+ "epoch": 62.92,
811
+ "eval_accuracy": 0.6739130434782609,
812
+ "eval_loss": 1.3459587097167969,
813
+ "eval_runtime": 0.7286,
814
+ "eval_samples_per_second": 63.139,
815
+ "eval_steps_per_second": 2.745,
816
+ "step": 409
817
+ },
818
+ {
819
+ "epoch": 63.08,
820
+ "learning_rate": 8.101851851851852e-06,
821
+ "loss": 0.155,
822
+ "step": 410
823
+ },
824
+ {
825
+ "epoch": 64.0,
826
+ "eval_accuracy": 0.6739130434782609,
827
+ "eval_loss": 1.3998229503631592,
828
+ "eval_runtime": 0.7524,
829
+ "eval_samples_per_second": 61.141,
830
+ "eval_steps_per_second": 2.658,
831
+ "step": 416
832
+ },
833
+ {
834
+ "epoch": 64.62,
835
+ "learning_rate": 6.944444444444445e-06,
836
+ "loss": 0.1198,
837
+ "step": 420
838
+ },
839
+ {
840
+ "epoch": 64.92,
841
+ "eval_accuracy": 0.6739130434782609,
842
+ "eval_loss": 1.3982192277908325,
843
+ "eval_runtime": 0.7529,
844
+ "eval_samples_per_second": 61.101,
845
+ "eval_steps_per_second": 2.657,
846
+ "step": 422
847
+ },
848
+ {
849
+ "epoch": 66.0,
850
+ "eval_accuracy": 0.6521739130434783,
851
+ "eval_loss": 1.3988677263259888,
852
+ "eval_runtime": 0.7526,
853
+ "eval_samples_per_second": 61.121,
854
+ "eval_steps_per_second": 2.657,
855
+ "step": 429
856
+ },
857
+ {
858
+ "epoch": 66.15,
859
+ "learning_rate": 5.787037037037038e-06,
860
+ "loss": 0.1318,
861
+ "step": 430
862
+ },
863
+ {
864
+ "epoch": 66.92,
865
+ "eval_accuracy": 0.6521739130434783,
866
+ "eval_loss": 1.4035125970840454,
867
+ "eval_runtime": 0.7663,
868
+ "eval_samples_per_second": 60.028,
869
+ "eval_steps_per_second": 2.61,
870
+ "step": 435
871
+ },
872
+ {
873
+ "epoch": 67.69,
874
+ "learning_rate": 4.6296296296296296e-06,
875
+ "loss": 0.1382,
876
+ "step": 440
877
+ },
878
+ {
879
+ "epoch": 68.0,
880
+ "eval_accuracy": 0.6521739130434783,
881
+ "eval_loss": 1.3625603914260864,
882
+ "eval_runtime": 0.7684,
883
+ "eval_samples_per_second": 59.861,
884
+ "eval_steps_per_second": 2.603,
885
+ "step": 442
886
+ },
887
+ {
888
+ "epoch": 68.92,
889
+ "eval_accuracy": 0.6521739130434783,
890
+ "eval_loss": 1.371445655822754,
891
+ "eval_runtime": 0.7666,
892
+ "eval_samples_per_second": 60.005,
893
+ "eval_steps_per_second": 2.609,
894
+ "step": 448
895
+ },
896
+ {
897
+ "epoch": 69.23,
898
+ "learning_rate": 3.4722222222222224e-06,
899
+ "loss": 0.1451,
900
+ "step": 450
901
+ },
902
+ {
903
+ "epoch": 70.0,
904
+ "eval_accuracy": 0.6739130434782609,
905
+ "eval_loss": 1.4174377918243408,
906
+ "eval_runtime": 0.7523,
907
+ "eval_samples_per_second": 61.143,
908
+ "eval_steps_per_second": 2.658,
909
+ "step": 455
910
+ },
911
+ {
912
+ "epoch": 70.77,
913
+ "learning_rate": 2.3148148148148148e-06,
914
+ "loss": 0.1203,
915
+ "step": 460
916
+ },
917
+ {
918
+ "epoch": 70.92,
919
+ "eval_accuracy": 0.6739130434782609,
920
+ "eval_loss": 1.4342718124389648,
921
+ "eval_runtime": 0.7407,
922
+ "eval_samples_per_second": 62.103,
923
+ "eval_steps_per_second": 2.7,
924
+ "step": 461
925
+ },
926
+ {
927
+ "epoch": 72.0,
928
+ "eval_accuracy": 0.6521739130434783,
929
+ "eval_loss": 1.4045405387878418,
930
+ "eval_runtime": 0.7688,
931
+ "eval_samples_per_second": 59.83,
932
+ "eval_steps_per_second": 2.601,
933
+ "step": 468
934
+ },
935
+ {
936
+ "epoch": 72.31,
937
+ "learning_rate": 1.1574074074074074e-06,
938
+ "loss": 0.141,
939
+ "step": 470
940
+ },
941
+ {
942
+ "epoch": 72.92,
943
+ "eval_accuracy": 0.6521739130434783,
944
+ "eval_loss": 1.3903690576553345,
945
+ "eval_runtime": 0.7374,
946
+ "eval_samples_per_second": 62.385,
947
+ "eval_steps_per_second": 2.712,
948
+ "step": 474
949
+ },
950
+ {
951
+ "epoch": 73.85,
952
+ "learning_rate": 0.0,
953
+ "loss": 0.1516,
954
+ "step": 480
955
+ },
956
+ {
957
+ "epoch": 73.85,
958
+ "eval_accuracy": 0.6521739130434783,
959
+ "eval_loss": 1.3849464654922485,
960
+ "eval_runtime": 0.7559,
961
+ "eval_samples_per_second": 60.851,
962
+ "eval_steps_per_second": 2.646,
963
+ "step": 480
964
+ },
965
+ {
966
+ "epoch": 73.85,
967
+ "step": 480,
968
+ "total_flos": 1.9681438145406566e+18,
969
+ "train_loss": 0.3953114648660024,
970
+ "train_runtime": 812.6336,
971
+ "train_samples_per_second": 80.627,
972
+ "train_steps_per_second": 0.591
973
+ }
974
+ ],
975
+ "logging_steps": 10,
976
+ "max_steps": 480,
977
+ "num_input_tokens_seen": 0,
978
+ "num_train_epochs": 80,
979
+ "save_steps": 500,
980
+ "total_flos": 1.9681438145406566e+18,
981
+ "train_batch_size": 32,
982
+ "trial_name": null,
983
+ "trial_params": null
984
+ }