BilalMuftuoglu commited on
Commit
b711e4a
1 Parent(s): f929525

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.8227848101265823
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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.8061
36
- - Accuracy: 0.8228
37
 
38
  ## Model description
39
 
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8607594936708861
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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.3405
36
+ - Accuracy: 0.8608
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 85.71428571428571,
3
+ "eval_accuracy": 0.8607594936708861,
4
+ "eval_loss": 0.3405309021472931,
5
+ "eval_runtime": 1.2249,
6
+ "eval_samples_per_second": 64.497,
7
+ "eval_steps_per_second": 2.449,
8
+ "total_flos": 2.9349165326823014e+18,
9
+ "train_loss": 0.24419225533803304,
10
+ "train_runtime": 1773.1424,
11
+ "train_samples_per_second": 24.927,
12
+ "train_steps_per_second": 0.169
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 85.71428571428571,
3
+ "eval_accuracy": 0.8607594936708861,
4
+ "eval_loss": 0.3405309021472931,
5
+ "eval_runtime": 1.2249,
6
+ "eval_samples_per_second": 64.497,
7
+ "eval_steps_per_second": 2.449
8
+ }
runs/May20_12-47-55_b94dbfcd7693/events.out.tfevents.1716211065.b94dbfcd7693.1289.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb2eb34036c5f45b6f615bce6ec772a0f9f121e798431645d51e16359c080e01
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 85.71428571428571,
3
+ "total_flos": 2.9349165326823014e+18,
4
+ "train_loss": 0.24419225533803304,
5
+ "train_runtime": 1773.1424,
6
+ "train_samples_per_second": 24.927,
7
+ "train_steps_per_second": 0.169
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1023 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8607594936708861,
3
+ "best_model_checkpoint": "beit-base-patch16-224-fold2/checkpoint-77",
4
+ "epoch": 85.71428571428571,
5
+ "eval_steps": 500,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.8571428571428571,
13
+ "eval_accuracy": 0.6075949367088608,
14
+ "eval_loss": 0.678494930267334,
15
+ "eval_runtime": 1.1189,
16
+ "eval_samples_per_second": 70.604,
17
+ "eval_steps_per_second": 2.681,
18
+ "step": 3
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.6329113924050633,
23
+ "eval_loss": 0.6621109843254089,
24
+ "eval_runtime": 1.1177,
25
+ "eval_samples_per_second": 70.683,
26
+ "eval_steps_per_second": 2.684,
27
+ "step": 7
28
+ },
29
+ {
30
+ "epoch": 2.857142857142857,
31
+ "grad_norm": 6.013461112976074,
32
+ "learning_rate": 1.6666666666666667e-05,
33
+ "loss": 0.7083,
34
+ "step": 10
35
+ },
36
+ {
37
+ "epoch": 2.857142857142857,
38
+ "eval_accuracy": 0.5822784810126582,
39
+ "eval_loss": 0.6433596014976501,
40
+ "eval_runtime": 1.1574,
41
+ "eval_samples_per_second": 68.257,
42
+ "eval_steps_per_second": 2.592,
43
+ "step": 10
44
+ },
45
+ {
46
+ "epoch": 4.0,
47
+ "eval_accuracy": 0.569620253164557,
48
+ "eval_loss": 0.6708337068557739,
49
+ "eval_runtime": 1.1991,
50
+ "eval_samples_per_second": 65.882,
51
+ "eval_steps_per_second": 2.502,
52
+ "step": 14
53
+ },
54
+ {
55
+ "epoch": 4.857142857142857,
56
+ "eval_accuracy": 0.6075949367088608,
57
+ "eval_loss": 0.6701093316078186,
58
+ "eval_runtime": 1.2358,
59
+ "eval_samples_per_second": 63.928,
60
+ "eval_steps_per_second": 2.428,
61
+ "step": 17
62
+ },
63
+ {
64
+ "epoch": 5.714285714285714,
65
+ "grad_norm": 14.194457054138184,
66
+ "learning_rate": 3.3333333333333335e-05,
67
+ "loss": 0.6009,
68
+ "step": 20
69
+ },
70
+ {
71
+ "epoch": 6.0,
72
+ "eval_accuracy": 0.5949367088607594,
73
+ "eval_loss": 0.7957927584648132,
74
+ "eval_runtime": 1.2868,
75
+ "eval_samples_per_second": 61.391,
76
+ "eval_steps_per_second": 2.331,
77
+ "step": 21
78
+ },
79
+ {
80
+ "epoch": 6.857142857142857,
81
+ "eval_accuracy": 0.6455696202531646,
82
+ "eval_loss": 0.5951915979385376,
83
+ "eval_runtime": 1.2473,
84
+ "eval_samples_per_second": 63.338,
85
+ "eval_steps_per_second": 2.405,
86
+ "step": 24
87
+ },
88
+ {
89
+ "epoch": 8.0,
90
+ "eval_accuracy": 0.6962025316455697,
91
+ "eval_loss": 0.8007984757423401,
92
+ "eval_runtime": 1.2233,
93
+ "eval_samples_per_second": 64.58,
94
+ "eval_steps_per_second": 2.452,
95
+ "step": 28
96
+ },
97
+ {
98
+ "epoch": 8.571428571428571,
99
+ "grad_norm": 9.016133308410645,
100
+ "learning_rate": 5e-05,
101
+ "loss": 0.5315,
102
+ "step": 30
103
+ },
104
+ {
105
+ "epoch": 8.857142857142858,
106
+ "eval_accuracy": 0.6329113924050633,
107
+ "eval_loss": 0.8903242945671082,
108
+ "eval_runtime": 1.2441,
109
+ "eval_samples_per_second": 63.497,
110
+ "eval_steps_per_second": 2.411,
111
+ "step": 31
112
+ },
113
+ {
114
+ "epoch": 10.0,
115
+ "eval_accuracy": 0.6708860759493671,
116
+ "eval_loss": 0.7070391178131104,
117
+ "eval_runtime": 1.269,
118
+ "eval_samples_per_second": 62.255,
119
+ "eval_steps_per_second": 2.364,
120
+ "step": 35
121
+ },
122
+ {
123
+ "epoch": 10.857142857142858,
124
+ "eval_accuracy": 0.759493670886076,
125
+ "eval_loss": 0.5331233739852905,
126
+ "eval_runtime": 1.2407,
127
+ "eval_samples_per_second": 63.672,
128
+ "eval_steps_per_second": 2.418,
129
+ "step": 38
130
+ },
131
+ {
132
+ "epoch": 11.428571428571429,
133
+ "grad_norm": 4.008541584014893,
134
+ "learning_rate": 4.814814814814815e-05,
135
+ "loss": 0.5756,
136
+ "step": 40
137
+ },
138
+ {
139
+ "epoch": 12.0,
140
+ "eval_accuracy": 0.7468354430379747,
141
+ "eval_loss": 0.5307104587554932,
142
+ "eval_runtime": 1.2262,
143
+ "eval_samples_per_second": 64.427,
144
+ "eval_steps_per_second": 2.447,
145
+ "step": 42
146
+ },
147
+ {
148
+ "epoch": 12.857142857142858,
149
+ "eval_accuracy": 0.7468354430379747,
150
+ "eval_loss": 0.5069800615310669,
151
+ "eval_runtime": 1.286,
152
+ "eval_samples_per_second": 61.429,
153
+ "eval_steps_per_second": 2.333,
154
+ "step": 45
155
+ },
156
+ {
157
+ "epoch": 14.0,
158
+ "eval_accuracy": 0.7215189873417721,
159
+ "eval_loss": 0.6117033958435059,
160
+ "eval_runtime": 1.239,
161
+ "eval_samples_per_second": 63.763,
162
+ "eval_steps_per_second": 2.421,
163
+ "step": 49
164
+ },
165
+ {
166
+ "epoch": 14.285714285714286,
167
+ "grad_norm": 13.79133129119873,
168
+ "learning_rate": 4.62962962962963e-05,
169
+ "loss": 0.4519,
170
+ "step": 50
171
+ },
172
+ {
173
+ "epoch": 14.857142857142858,
174
+ "eval_accuracy": 0.7468354430379747,
175
+ "eval_loss": 0.4667030870914459,
176
+ "eval_runtime": 1.2442,
177
+ "eval_samples_per_second": 63.495,
178
+ "eval_steps_per_second": 2.411,
179
+ "step": 52
180
+ },
181
+ {
182
+ "epoch": 16.0,
183
+ "eval_accuracy": 0.7848101265822784,
184
+ "eval_loss": 0.41506943106651306,
185
+ "eval_runtime": 1.2516,
186
+ "eval_samples_per_second": 63.12,
187
+ "eval_steps_per_second": 2.397,
188
+ "step": 56
189
+ },
190
+ {
191
+ "epoch": 16.857142857142858,
192
+ "eval_accuracy": 0.7721518987341772,
193
+ "eval_loss": 0.4434549808502197,
194
+ "eval_runtime": 1.2483,
195
+ "eval_samples_per_second": 63.284,
196
+ "eval_steps_per_second": 2.403,
197
+ "step": 59
198
+ },
199
+ {
200
+ "epoch": 17.142857142857142,
201
+ "grad_norm": 4.975181579589844,
202
+ "learning_rate": 4.4444444444444447e-05,
203
+ "loss": 0.3821,
204
+ "step": 60
205
+ },
206
+ {
207
+ "epoch": 18.0,
208
+ "eval_accuracy": 0.7974683544303798,
209
+ "eval_loss": 0.41142967343330383,
210
+ "eval_runtime": 1.2652,
211
+ "eval_samples_per_second": 62.442,
212
+ "eval_steps_per_second": 2.371,
213
+ "step": 63
214
+ },
215
+ {
216
+ "epoch": 18.857142857142858,
217
+ "eval_accuracy": 0.810126582278481,
218
+ "eval_loss": 0.4066586494445801,
219
+ "eval_runtime": 1.24,
220
+ "eval_samples_per_second": 63.712,
221
+ "eval_steps_per_second": 2.419,
222
+ "step": 66
223
+ },
224
+ {
225
+ "epoch": 20.0,
226
+ "grad_norm": 5.205602645874023,
227
+ "learning_rate": 4.259259259259259e-05,
228
+ "loss": 0.328,
229
+ "step": 70
230
+ },
231
+ {
232
+ "epoch": 20.0,
233
+ "eval_accuracy": 0.810126582278481,
234
+ "eval_loss": 0.4459022879600525,
235
+ "eval_runtime": 1.2373,
236
+ "eval_samples_per_second": 63.847,
237
+ "eval_steps_per_second": 2.425,
238
+ "step": 70
239
+ },
240
+ {
241
+ "epoch": 20.857142857142858,
242
+ "eval_accuracy": 0.8354430379746836,
243
+ "eval_loss": 0.38586243987083435,
244
+ "eval_runtime": 1.2783,
245
+ "eval_samples_per_second": 61.799,
246
+ "eval_steps_per_second": 2.347,
247
+ "step": 73
248
+ },
249
+ {
250
+ "epoch": 22.0,
251
+ "eval_accuracy": 0.8607594936708861,
252
+ "eval_loss": 0.3405309021472931,
253
+ "eval_runtime": 1.2673,
254
+ "eval_samples_per_second": 62.336,
255
+ "eval_steps_per_second": 2.367,
256
+ "step": 77
257
+ },
258
+ {
259
+ "epoch": 22.857142857142858,
260
+ "grad_norm": 9.780171394348145,
261
+ "learning_rate": 4.074074074074074e-05,
262
+ "loss": 0.3344,
263
+ "step": 80
264
+ },
265
+ {
266
+ "epoch": 22.857142857142858,
267
+ "eval_accuracy": 0.8354430379746836,
268
+ "eval_loss": 0.3702424168586731,
269
+ "eval_runtime": 1.2485,
270
+ "eval_samples_per_second": 63.277,
271
+ "eval_steps_per_second": 2.403,
272
+ "step": 80
273
+ },
274
+ {
275
+ "epoch": 24.0,
276
+ "eval_accuracy": 0.7848101265822784,
277
+ "eval_loss": 0.4351886808872223,
278
+ "eval_runtime": 1.2427,
279
+ "eval_samples_per_second": 63.569,
280
+ "eval_steps_per_second": 2.414,
281
+ "step": 84
282
+ },
283
+ {
284
+ "epoch": 24.857142857142858,
285
+ "eval_accuracy": 0.7341772151898734,
286
+ "eval_loss": 0.6776776313781738,
287
+ "eval_runtime": 1.2553,
288
+ "eval_samples_per_second": 62.931,
289
+ "eval_steps_per_second": 2.39,
290
+ "step": 87
291
+ },
292
+ {
293
+ "epoch": 25.714285714285715,
294
+ "grad_norm": 5.561969757080078,
295
+ "learning_rate": 3.888888888888889e-05,
296
+ "loss": 0.2747,
297
+ "step": 90
298
+ },
299
+ {
300
+ "epoch": 26.0,
301
+ "eval_accuracy": 0.7974683544303798,
302
+ "eval_loss": 0.5707988739013672,
303
+ "eval_runtime": 1.2633,
304
+ "eval_samples_per_second": 62.533,
305
+ "eval_steps_per_second": 2.375,
306
+ "step": 91
307
+ },
308
+ {
309
+ "epoch": 26.857142857142858,
310
+ "eval_accuracy": 0.810126582278481,
311
+ "eval_loss": 0.4431754946708679,
312
+ "eval_runtime": 1.2698,
313
+ "eval_samples_per_second": 62.215,
314
+ "eval_steps_per_second": 2.363,
315
+ "step": 94
316
+ },
317
+ {
318
+ "epoch": 28.0,
319
+ "eval_accuracy": 0.810126582278481,
320
+ "eval_loss": 0.37358519434928894,
321
+ "eval_runtime": 1.2475,
322
+ "eval_samples_per_second": 63.326,
323
+ "eval_steps_per_second": 2.405,
324
+ "step": 98
325
+ },
326
+ {
327
+ "epoch": 28.571428571428573,
328
+ "grad_norm": 4.9703569412231445,
329
+ "learning_rate": 3.7037037037037037e-05,
330
+ "loss": 0.2634,
331
+ "step": 100
332
+ },
333
+ {
334
+ "epoch": 28.857142857142858,
335
+ "eval_accuracy": 0.8227848101265823,
336
+ "eval_loss": 0.39375337958335876,
337
+ "eval_runtime": 1.2572,
338
+ "eval_samples_per_second": 62.84,
339
+ "eval_steps_per_second": 2.386,
340
+ "step": 101
341
+ },
342
+ {
343
+ "epoch": 30.0,
344
+ "eval_accuracy": 0.8354430379746836,
345
+ "eval_loss": 0.44604796171188354,
346
+ "eval_runtime": 1.2495,
347
+ "eval_samples_per_second": 63.226,
348
+ "eval_steps_per_second": 2.401,
349
+ "step": 105
350
+ },
351
+ {
352
+ "epoch": 30.857142857142858,
353
+ "eval_accuracy": 0.810126582278481,
354
+ "eval_loss": 0.4381825029850006,
355
+ "eval_runtime": 1.2425,
356
+ "eval_samples_per_second": 63.58,
357
+ "eval_steps_per_second": 2.414,
358
+ "step": 108
359
+ },
360
+ {
361
+ "epoch": 31.428571428571427,
362
+ "grad_norm": 5.964456081390381,
363
+ "learning_rate": 3.518518518518519e-05,
364
+ "loss": 0.2306,
365
+ "step": 110
366
+ },
367
+ {
368
+ "epoch": 32.0,
369
+ "eval_accuracy": 0.810126582278481,
370
+ "eval_loss": 0.5574378967285156,
371
+ "eval_runtime": 1.2448,
372
+ "eval_samples_per_second": 63.462,
373
+ "eval_steps_per_second": 2.41,
374
+ "step": 112
375
+ },
376
+ {
377
+ "epoch": 32.857142857142854,
378
+ "eval_accuracy": 0.8354430379746836,
379
+ "eval_loss": 0.3862878680229187,
380
+ "eval_runtime": 1.2372,
381
+ "eval_samples_per_second": 63.854,
382
+ "eval_steps_per_second": 2.425,
383
+ "step": 115
384
+ },
385
+ {
386
+ "epoch": 34.0,
387
+ "eval_accuracy": 0.8481012658227848,
388
+ "eval_loss": 0.4390255808830261,
389
+ "eval_runtime": 1.2617,
390
+ "eval_samples_per_second": 62.614,
391
+ "eval_steps_per_second": 2.378,
392
+ "step": 119
393
+ },
394
+ {
395
+ "epoch": 34.285714285714285,
396
+ "grad_norm": 3.8251123428344727,
397
+ "learning_rate": 3.3333333333333335e-05,
398
+ "loss": 0.2214,
399
+ "step": 120
400
+ },
401
+ {
402
+ "epoch": 34.857142857142854,
403
+ "eval_accuracy": 0.8481012658227848,
404
+ "eval_loss": 0.48393675684928894,
405
+ "eval_runtime": 1.2419,
406
+ "eval_samples_per_second": 63.611,
407
+ "eval_steps_per_second": 2.416,
408
+ "step": 122
409
+ },
410
+ {
411
+ "epoch": 36.0,
412
+ "eval_accuracy": 0.8354430379746836,
413
+ "eval_loss": 0.4523105323314667,
414
+ "eval_runtime": 1.2521,
415
+ "eval_samples_per_second": 63.092,
416
+ "eval_steps_per_second": 2.396,
417
+ "step": 126
418
+ },
419
+ {
420
+ "epoch": 36.857142857142854,
421
+ "eval_accuracy": 0.8354430379746836,
422
+ "eval_loss": 0.40220630168914795,
423
+ "eval_runtime": 1.2399,
424
+ "eval_samples_per_second": 63.715,
425
+ "eval_steps_per_second": 2.42,
426
+ "step": 129
427
+ },
428
+ {
429
+ "epoch": 37.142857142857146,
430
+ "grad_norm": 5.482424736022949,
431
+ "learning_rate": 3.148148148148148e-05,
432
+ "loss": 0.1945,
433
+ "step": 130
434
+ },
435
+ {
436
+ "epoch": 38.0,
437
+ "eval_accuracy": 0.8354430379746836,
438
+ "eval_loss": 0.4408385455608368,
439
+ "eval_runtime": 1.2496,
440
+ "eval_samples_per_second": 63.22,
441
+ "eval_steps_per_second": 2.401,
442
+ "step": 133
443
+ },
444
+ {
445
+ "epoch": 38.857142857142854,
446
+ "eval_accuracy": 0.8354430379746836,
447
+ "eval_loss": 0.39884084463119507,
448
+ "eval_runtime": 1.2583,
449
+ "eval_samples_per_second": 62.782,
450
+ "eval_steps_per_second": 2.384,
451
+ "step": 136
452
+ },
453
+ {
454
+ "epoch": 40.0,
455
+ "grad_norm": 5.258836269378662,
456
+ "learning_rate": 2.962962962962963e-05,
457
+ "loss": 0.1863,
458
+ "step": 140
459
+ },
460
+ {
461
+ "epoch": 40.0,
462
+ "eval_accuracy": 0.8481012658227848,
463
+ "eval_loss": 0.4467245042324066,
464
+ "eval_runtime": 1.2362,
465
+ "eval_samples_per_second": 63.907,
466
+ "eval_steps_per_second": 2.427,
467
+ "step": 140
468
+ },
469
+ {
470
+ "epoch": 40.857142857142854,
471
+ "eval_accuracy": 0.810126582278481,
472
+ "eval_loss": 0.478800505399704,
473
+ "eval_runtime": 1.2478,
474
+ "eval_samples_per_second": 63.31,
475
+ "eval_steps_per_second": 2.404,
476
+ "step": 143
477
+ },
478
+ {
479
+ "epoch": 42.0,
480
+ "eval_accuracy": 0.8354430379746836,
481
+ "eval_loss": 0.4749128222465515,
482
+ "eval_runtime": 1.2505,
483
+ "eval_samples_per_second": 63.175,
484
+ "eval_steps_per_second": 2.399,
485
+ "step": 147
486
+ },
487
+ {
488
+ "epoch": 42.857142857142854,
489
+ "grad_norm": 4.518224716186523,
490
+ "learning_rate": 2.777777777777778e-05,
491
+ "loss": 0.1718,
492
+ "step": 150
493
+ },
494
+ {
495
+ "epoch": 42.857142857142854,
496
+ "eval_accuracy": 0.8227848101265823,
497
+ "eval_loss": 0.47265732288360596,
498
+ "eval_runtime": 1.2572,
499
+ "eval_samples_per_second": 62.836,
500
+ "eval_steps_per_second": 2.386,
501
+ "step": 150
502
+ },
503
+ {
504
+ "epoch": 44.0,
505
+ "eval_accuracy": 0.8481012658227848,
506
+ "eval_loss": 0.4632214307785034,
507
+ "eval_runtime": 1.2427,
508
+ "eval_samples_per_second": 63.57,
509
+ "eval_steps_per_second": 2.414,
510
+ "step": 154
511
+ },
512
+ {
513
+ "epoch": 44.857142857142854,
514
+ "eval_accuracy": 0.8354430379746836,
515
+ "eval_loss": 0.45606979727745056,
516
+ "eval_runtime": 1.2354,
517
+ "eval_samples_per_second": 63.948,
518
+ "eval_steps_per_second": 2.428,
519
+ "step": 157
520
+ },
521
+ {
522
+ "epoch": 45.714285714285715,
523
+ "grad_norm": 6.867657661437988,
524
+ "learning_rate": 2.5925925925925925e-05,
525
+ "loss": 0.1535,
526
+ "step": 160
527
+ },
528
+ {
529
+ "epoch": 46.0,
530
+ "eval_accuracy": 0.810126582278481,
531
+ "eval_loss": 0.5113399028778076,
532
+ "eval_runtime": 1.238,
533
+ "eval_samples_per_second": 63.815,
534
+ "eval_steps_per_second": 2.423,
535
+ "step": 161
536
+ },
537
+ {
538
+ "epoch": 46.857142857142854,
539
+ "eval_accuracy": 0.8481012658227848,
540
+ "eval_loss": 0.6505078673362732,
541
+ "eval_runtime": 1.274,
542
+ "eval_samples_per_second": 62.008,
543
+ "eval_steps_per_second": 2.355,
544
+ "step": 164
545
+ },
546
+ {
547
+ "epoch": 48.0,
548
+ "eval_accuracy": 0.8227848101265823,
549
+ "eval_loss": 0.5612393021583557,
550
+ "eval_runtime": 1.2503,
551
+ "eval_samples_per_second": 63.184,
552
+ "eval_steps_per_second": 2.399,
553
+ "step": 168
554
+ },
555
+ {
556
+ "epoch": 48.57142857142857,
557
+ "grad_norm": 2.030773401260376,
558
+ "learning_rate": 2.4074074074074074e-05,
559
+ "loss": 0.1454,
560
+ "step": 170
561
+ },
562
+ {
563
+ "epoch": 48.857142857142854,
564
+ "eval_accuracy": 0.8354430379746836,
565
+ "eval_loss": 0.6824959516525269,
566
+ "eval_runtime": 1.2393,
567
+ "eval_samples_per_second": 63.745,
568
+ "eval_steps_per_second": 2.421,
569
+ "step": 171
570
+ },
571
+ {
572
+ "epoch": 50.0,
573
+ "eval_accuracy": 0.8354430379746836,
574
+ "eval_loss": 0.7959554195404053,
575
+ "eval_runtime": 1.2446,
576
+ "eval_samples_per_second": 63.472,
577
+ "eval_steps_per_second": 2.41,
578
+ "step": 175
579
+ },
580
+ {
581
+ "epoch": 50.857142857142854,
582
+ "eval_accuracy": 0.8227848101265823,
583
+ "eval_loss": 0.5914857387542725,
584
+ "eval_runtime": 1.2425,
585
+ "eval_samples_per_second": 63.581,
586
+ "eval_steps_per_second": 2.414,
587
+ "step": 178
588
+ },
589
+ {
590
+ "epoch": 51.42857142857143,
591
+ "grad_norm": 5.444547176361084,
592
+ "learning_rate": 2.2222222222222223e-05,
593
+ "loss": 0.1327,
594
+ "step": 180
595
+ },
596
+ {
597
+ "epoch": 52.0,
598
+ "eval_accuracy": 0.8354430379746836,
599
+ "eval_loss": 0.6199972629547119,
600
+ "eval_runtime": 1.2836,
601
+ "eval_samples_per_second": 61.544,
602
+ "eval_steps_per_second": 2.337,
603
+ "step": 182
604
+ },
605
+ {
606
+ "epoch": 52.857142857142854,
607
+ "eval_accuracy": 0.8354430379746836,
608
+ "eval_loss": 0.49771010875701904,
609
+ "eval_runtime": 1.254,
610
+ "eval_samples_per_second": 63.001,
611
+ "eval_steps_per_second": 2.392,
612
+ "step": 185
613
+ },
614
+ {
615
+ "epoch": 54.0,
616
+ "eval_accuracy": 0.8607594936708861,
617
+ "eval_loss": 0.6180350184440613,
618
+ "eval_runtime": 1.2463,
619
+ "eval_samples_per_second": 63.389,
620
+ "eval_steps_per_second": 2.407,
621
+ "step": 189
622
+ },
623
+ {
624
+ "epoch": 54.285714285714285,
625
+ "grad_norm": 6.831031799316406,
626
+ "learning_rate": 2.037037037037037e-05,
627
+ "loss": 0.1491,
628
+ "step": 190
629
+ },
630
+ {
631
+ "epoch": 54.857142857142854,
632
+ "eval_accuracy": 0.8607594936708861,
633
+ "eval_loss": 0.6473775506019592,
634
+ "eval_runtime": 1.244,
635
+ "eval_samples_per_second": 63.505,
636
+ "eval_steps_per_second": 2.412,
637
+ "step": 192
638
+ },
639
+ {
640
+ "epoch": 56.0,
641
+ "eval_accuracy": 0.8481012658227848,
642
+ "eval_loss": 0.5886236429214478,
643
+ "eval_runtime": 1.2691,
644
+ "eval_samples_per_second": 62.249,
645
+ "eval_steps_per_second": 2.364,
646
+ "step": 196
647
+ },
648
+ {
649
+ "epoch": 56.857142857142854,
650
+ "eval_accuracy": 0.8481012658227848,
651
+ "eval_loss": 0.6742523312568665,
652
+ "eval_runtime": 1.2454,
653
+ "eval_samples_per_second": 63.433,
654
+ "eval_steps_per_second": 2.409,
655
+ "step": 199
656
+ },
657
+ {
658
+ "epoch": 57.142857142857146,
659
+ "grad_norm": 6.931390762329102,
660
+ "learning_rate": 1.8518518518518518e-05,
661
+ "loss": 0.1666,
662
+ "step": 200
663
+ },
664
+ {
665
+ "epoch": 58.0,
666
+ "eval_accuracy": 0.8354430379746836,
667
+ "eval_loss": 0.6475793123245239,
668
+ "eval_runtime": 1.2506,
669
+ "eval_samples_per_second": 63.17,
670
+ "eval_steps_per_second": 2.399,
671
+ "step": 203
672
+ },
673
+ {
674
+ "epoch": 58.857142857142854,
675
+ "eval_accuracy": 0.8481012658227848,
676
+ "eval_loss": 0.6483187079429626,
677
+ "eval_runtime": 1.244,
678
+ "eval_samples_per_second": 63.507,
679
+ "eval_steps_per_second": 2.412,
680
+ "step": 206
681
+ },
682
+ {
683
+ "epoch": 60.0,
684
+ "grad_norm": 2.6429920196533203,
685
+ "learning_rate": 1.6666666666666667e-05,
686
+ "loss": 0.1219,
687
+ "step": 210
688
+ },
689
+ {
690
+ "epoch": 60.0,
691
+ "eval_accuracy": 0.8354430379746836,
692
+ "eval_loss": 0.7215976119041443,
693
+ "eval_runtime": 1.257,
694
+ "eval_samples_per_second": 62.847,
695
+ "eval_steps_per_second": 2.387,
696
+ "step": 210
697
+ },
698
+ {
699
+ "epoch": 60.857142857142854,
700
+ "eval_accuracy": 0.8354430379746836,
701
+ "eval_loss": 0.6541433334350586,
702
+ "eval_runtime": 1.255,
703
+ "eval_samples_per_second": 62.949,
704
+ "eval_steps_per_second": 2.39,
705
+ "step": 213
706
+ },
707
+ {
708
+ "epoch": 62.0,
709
+ "eval_accuracy": 0.8354430379746836,
710
+ "eval_loss": 0.6635527014732361,
711
+ "eval_runtime": 1.2585,
712
+ "eval_samples_per_second": 62.774,
713
+ "eval_steps_per_second": 2.384,
714
+ "step": 217
715
+ },
716
+ {
717
+ "epoch": 62.857142857142854,
718
+ "grad_norm": 2.814028739929199,
719
+ "learning_rate": 1.4814814814814815e-05,
720
+ "loss": 0.1339,
721
+ "step": 220
722
+ },
723
+ {
724
+ "epoch": 62.857142857142854,
725
+ "eval_accuracy": 0.8354430379746836,
726
+ "eval_loss": 0.6707887053489685,
727
+ "eval_runtime": 1.262,
728
+ "eval_samples_per_second": 62.601,
729
+ "eval_steps_per_second": 2.377,
730
+ "step": 220
731
+ },
732
+ {
733
+ "epoch": 64.0,
734
+ "eval_accuracy": 0.8481012658227848,
735
+ "eval_loss": 0.6735276579856873,
736
+ "eval_runtime": 1.2462,
737
+ "eval_samples_per_second": 63.393,
738
+ "eval_steps_per_second": 2.407,
739
+ "step": 224
740
+ },
741
+ {
742
+ "epoch": 64.85714285714286,
743
+ "eval_accuracy": 0.8354430379746836,
744
+ "eval_loss": 0.7030315399169922,
745
+ "eval_runtime": 1.2489,
746
+ "eval_samples_per_second": 63.256,
747
+ "eval_steps_per_second": 2.402,
748
+ "step": 227
749
+ },
750
+ {
751
+ "epoch": 65.71428571428571,
752
+ "grad_norm": 5.088428020477295,
753
+ "learning_rate": 1.2962962962962962e-05,
754
+ "loss": 0.1227,
755
+ "step": 230
756
+ },
757
+ {
758
+ "epoch": 66.0,
759
+ "eval_accuracy": 0.8227848101265823,
760
+ "eval_loss": 0.6779046654701233,
761
+ "eval_runtime": 1.2468,
762
+ "eval_samples_per_second": 63.364,
763
+ "eval_steps_per_second": 2.406,
764
+ "step": 231
765
+ },
766
+ {
767
+ "epoch": 66.85714285714286,
768
+ "eval_accuracy": 0.8354430379746836,
769
+ "eval_loss": 0.7091224193572998,
770
+ "eval_runtime": 1.2843,
771
+ "eval_samples_per_second": 61.512,
772
+ "eval_steps_per_second": 2.336,
773
+ "step": 234
774
+ },
775
+ {
776
+ "epoch": 68.0,
777
+ "eval_accuracy": 0.8354430379746836,
778
+ "eval_loss": 0.6858163475990295,
779
+ "eval_runtime": 1.2712,
780
+ "eval_samples_per_second": 62.148,
781
+ "eval_steps_per_second": 2.36,
782
+ "step": 238
783
+ },
784
+ {
785
+ "epoch": 68.57142857142857,
786
+ "grad_norm": 7.267394065856934,
787
+ "learning_rate": 1.1111111111111112e-05,
788
+ "loss": 0.1316,
789
+ "step": 240
790
+ },
791
+ {
792
+ "epoch": 68.85714285714286,
793
+ "eval_accuracy": 0.8354430379746836,
794
+ "eval_loss": 0.6668309569358826,
795
+ "eval_runtime": 1.2603,
796
+ "eval_samples_per_second": 62.681,
797
+ "eval_steps_per_second": 2.38,
798
+ "step": 241
799
+ },
800
+ {
801
+ "epoch": 70.0,
802
+ "eval_accuracy": 0.8354430379746836,
803
+ "eval_loss": 0.6490625739097595,
804
+ "eval_runtime": 1.2412,
805
+ "eval_samples_per_second": 63.648,
806
+ "eval_steps_per_second": 2.417,
807
+ "step": 245
808
+ },
809
+ {
810
+ "epoch": 70.85714285714286,
811
+ "eval_accuracy": 0.8481012658227848,
812
+ "eval_loss": 0.7164068222045898,
813
+ "eval_runtime": 1.2338,
814
+ "eval_samples_per_second": 64.032,
815
+ "eval_steps_per_second": 2.432,
816
+ "step": 248
817
+ },
818
+ {
819
+ "epoch": 71.42857142857143,
820
+ "grad_norm": 4.775552749633789,
821
+ "learning_rate": 9.259259259259259e-06,
822
+ "loss": 0.1124,
823
+ "step": 250
824
+ },
825
+ {
826
+ "epoch": 72.0,
827
+ "eval_accuracy": 0.8354430379746836,
828
+ "eval_loss": 0.8063094019889832,
829
+ "eval_runtime": 1.2431,
830
+ "eval_samples_per_second": 63.551,
831
+ "eval_steps_per_second": 2.413,
832
+ "step": 252
833
+ },
834
+ {
835
+ "epoch": 72.85714285714286,
836
+ "eval_accuracy": 0.8481012658227848,
837
+ "eval_loss": 0.7436769604682922,
838
+ "eval_runtime": 1.2512,
839
+ "eval_samples_per_second": 63.141,
840
+ "eval_steps_per_second": 2.398,
841
+ "step": 255
842
+ },
843
+ {
844
+ "epoch": 74.0,
845
+ "eval_accuracy": 0.8354430379746836,
846
+ "eval_loss": 0.8528115153312683,
847
+ "eval_runtime": 1.2483,
848
+ "eval_samples_per_second": 63.285,
849
+ "eval_steps_per_second": 2.403,
850
+ "step": 259
851
+ },
852
+ {
853
+ "epoch": 74.28571428571429,
854
+ "grad_norm": 3.7733418941497803,
855
+ "learning_rate": 7.4074074074074075e-06,
856
+ "loss": 0.1036,
857
+ "step": 260
858
+ },
859
+ {
860
+ "epoch": 74.85714285714286,
861
+ "eval_accuracy": 0.810126582278481,
862
+ "eval_loss": 0.9348064661026001,
863
+ "eval_runtime": 1.2578,
864
+ "eval_samples_per_second": 62.809,
865
+ "eval_steps_per_second": 2.385,
866
+ "step": 262
867
+ },
868
+ {
869
+ "epoch": 76.0,
870
+ "eval_accuracy": 0.8354430379746836,
871
+ "eval_loss": 0.8077890872955322,
872
+ "eval_runtime": 1.2522,
873
+ "eval_samples_per_second": 63.09,
874
+ "eval_steps_per_second": 2.396,
875
+ "step": 266
876
+ },
877
+ {
878
+ "epoch": 76.85714285714286,
879
+ "eval_accuracy": 0.8481012658227848,
880
+ "eval_loss": 0.7697485685348511,
881
+ "eval_runtime": 1.231,
882
+ "eval_samples_per_second": 64.173,
883
+ "eval_steps_per_second": 2.437,
884
+ "step": 269
885
+ },
886
+ {
887
+ "epoch": 77.14285714285714,
888
+ "grad_norm": 6.019745826721191,
889
+ "learning_rate": 5.555555555555556e-06,
890
+ "loss": 0.1057,
891
+ "step": 270
892
+ },
893
+ {
894
+ "epoch": 78.0,
895
+ "eval_accuracy": 0.8481012658227848,
896
+ "eval_loss": 0.8040142059326172,
897
+ "eval_runtime": 1.2413,
898
+ "eval_samples_per_second": 63.641,
899
+ "eval_steps_per_second": 2.417,
900
+ "step": 273
901
+ },
902
+ {
903
+ "epoch": 78.85714285714286,
904
+ "eval_accuracy": 0.8481012658227848,
905
+ "eval_loss": 0.8197168111801147,
906
+ "eval_runtime": 1.2521,
907
+ "eval_samples_per_second": 63.095,
908
+ "eval_steps_per_second": 2.396,
909
+ "step": 276
910
+ },
911
+ {
912
+ "epoch": 80.0,
913
+ "grad_norm": 5.121321201324463,
914
+ "learning_rate": 3.7037037037037037e-06,
915
+ "loss": 0.099,
916
+ "step": 280
917
+ },
918
+ {
919
+ "epoch": 80.0,
920
+ "eval_accuracy": 0.8354430379746836,
921
+ "eval_loss": 0.8256491422653198,
922
+ "eval_runtime": 1.2518,
923
+ "eval_samples_per_second": 63.109,
924
+ "eval_steps_per_second": 2.397,
925
+ "step": 280
926
+ },
927
+ {
928
+ "epoch": 80.85714285714286,
929
+ "eval_accuracy": 0.8227848101265823,
930
+ "eval_loss": 0.8057142496109009,
931
+ "eval_runtime": 1.2389,
932
+ "eval_samples_per_second": 63.765,
933
+ "eval_steps_per_second": 2.421,
934
+ "step": 283
935
+ },
936
+ {
937
+ "epoch": 82.0,
938
+ "eval_accuracy": 0.8354430379746836,
939
+ "eval_loss": 0.7797062397003174,
940
+ "eval_runtime": 1.2603,
941
+ "eval_samples_per_second": 62.684,
942
+ "eval_steps_per_second": 2.38,
943
+ "step": 287
944
+ },
945
+ {
946
+ "epoch": 82.85714285714286,
947
+ "grad_norm": 4.244006156921387,
948
+ "learning_rate": 1.8518518518518519e-06,
949
+ "loss": 0.0927,
950
+ "step": 290
951
+ },
952
+ {
953
+ "epoch": 82.85714285714286,
954
+ "eval_accuracy": 0.8354430379746836,
955
+ "eval_loss": 0.7806990742683411,
956
+ "eval_runtime": 1.2548,
957
+ "eval_samples_per_second": 62.959,
958
+ "eval_steps_per_second": 2.391,
959
+ "step": 290
960
+ },
961
+ {
962
+ "epoch": 84.0,
963
+ "eval_accuracy": 0.8227848101265823,
964
+ "eval_loss": 0.7956676483154297,
965
+ "eval_runtime": 1.2427,
966
+ "eval_samples_per_second": 63.572,
967
+ "eval_steps_per_second": 2.414,
968
+ "step": 294
969
+ },
970
+ {
971
+ "epoch": 84.85714285714286,
972
+ "eval_accuracy": 0.8227848101265823,
973
+ "eval_loss": 0.8031200766563416,
974
+ "eval_runtime": 1.241,
975
+ "eval_samples_per_second": 63.659,
976
+ "eval_steps_per_second": 2.417,
977
+ "step": 297
978
+ },
979
+ {
980
+ "epoch": 85.71428571428571,
981
+ "grad_norm": 3.5336740016937256,
982
+ "learning_rate": 0.0,
983
+ "loss": 0.0995,
984
+ "step": 300
985
+ },
986
+ {
987
+ "epoch": 85.71428571428571,
988
+ "eval_accuracy": 0.8227848101265823,
989
+ "eval_loss": 0.806117594242096,
990
+ "eval_runtime": 1.2702,
991
+ "eval_samples_per_second": 62.195,
992
+ "eval_steps_per_second": 2.362,
993
+ "step": 300
994
+ },
995
+ {
996
+ "epoch": 85.71428571428571,
997
+ "step": 300,
998
+ "total_flos": 2.9349165326823014e+18,
999
+ "train_loss": 0.24419225533803304,
1000
+ "train_runtime": 1773.1424,
1001
+ "train_samples_per_second": 24.927,
1002
+ "train_steps_per_second": 0.169
1003
+ },
1004
+ {
1005
+ "epoch": 85.71428571428571,
1006
+ "eval_accuracy": 0.8607594936708861,
1007
+ "eval_loss": 0.3405309021472931,
1008
+ "eval_runtime": 1.2249,
1009
+ "eval_samples_per_second": 64.497,
1010
+ "eval_steps_per_second": 2.449,
1011
+ "step": 300
1012
+ }
1013
+ ],
1014
+ "logging_steps": 10,
1015
+ "max_steps": 300,
1016
+ "num_input_tokens_seen": 0,
1017
+ "num_train_epochs": 100,
1018
+ "save_steps": 500,
1019
+ "total_flos": 2.9349165326823014e+18,
1020
+ "train_batch_size": 32,
1021
+ "trial_name": null,
1022
+ "trial_params": null
1023
+ }