nicolasdupuisroy commited on
Commit
4fe24a2
1 Parent(s): bcdb08c

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
 
 
5
  - generated_from_trainer
6
  datasets:
7
  - imagefolder
@@ -32,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.0185
36
  - Accuracy: 1.0
37
 
38
  ## Model description
 
2
  license: apache-2.0
3
  base_model: google/vit-base-patch16-224-in21k
4
  tags:
5
+ - image-classification
6
+ - vision
7
  - generated_from_trainer
8
  datasets:
9
  - imagefolder
 
34
 
35
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
36
  It achieves the following results on the evaluation set:
37
+ - Loss: 0.0186
38
  - Accuracy: 1.0
39
 
40
  ## Model description
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 120.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 0.0186475720256567,
5
+ "eval_runtime": 6.0071,
6
+ "eval_samples_per_second": 1.498,
7
+ "eval_steps_per_second": 0.166,
8
+ "train_loss": 0.07813952726622422,
9
+ "train_runtime": 1030.5859,
10
+ "train_samples_per_second": 5.938,
11
+ "train_steps_per_second": 0.116
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 120.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 0.0186475720256567,
5
+ "eval_runtime": 6.0071,
6
+ "eval_samples_per_second": 1.498,
7
+ "eval_steps_per_second": 0.166
8
+ }
runs/Dec19_00-25-43_b6c43624a1ee/events.out.tfevents.1702946597.b6c43624a1ee.6546.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e74b338be4e2e5598d48702393dc2043e0619b2ab84bdb59d6f6493836580c3
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 120.0,
3
+ "train_loss": 0.07813952726622422,
4
+ "train_runtime": 1030.5859,
5
+ "train_samples_per_second": 5.938,
6
+ "train_steps_per_second": 0.116
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.018274879083037376,
3
+ "best_model_checkpoint": "./drive/MyDrive/repositories/torch_example_image-classification/outputs3/checkpoint-115",
4
+ "epoch": 120.0,
5
+ "eval_steps": 500,
6
+ "global_step": 120,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 1.0,
14
+ "eval_loss": 0.5751205682754517,
15
+ "eval_runtime": 6.6033,
16
+ "eval_samples_per_second": 1.363,
17
+ "eval_steps_per_second": 0.151,
18
+ "step": 1
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 1.0,
23
+ "eval_loss": 0.508073091506958,
24
+ "eval_runtime": 0.1375,
25
+ "eval_samples_per_second": 65.474,
26
+ "eval_steps_per_second": 7.275,
27
+ "step": 2
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 1.0,
32
+ "eval_loss": 0.46539825201034546,
33
+ "eval_runtime": 0.1277,
34
+ "eval_samples_per_second": 70.471,
35
+ "eval_steps_per_second": 7.83,
36
+ "step": 3
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 1.0,
41
+ "eval_loss": 0.4014008939266205,
42
+ "eval_runtime": 0.1365,
43
+ "eval_samples_per_second": 65.949,
44
+ "eval_steps_per_second": 7.328,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 5.0,
49
+ "eval_accuracy": 1.0,
50
+ "eval_loss": 0.3691883683204651,
51
+ "eval_runtime": 0.1452,
52
+ "eval_samples_per_second": 62.003,
53
+ "eval_steps_per_second": 6.889,
54
+ "step": 5
55
+ },
56
+ {
57
+ "epoch": 6.0,
58
+ "eval_accuracy": 1.0,
59
+ "eval_loss": 0.33271580934524536,
60
+ "eval_runtime": 0.1543,
61
+ "eval_samples_per_second": 58.338,
62
+ "eval_steps_per_second": 6.482,
63
+ "step": 6
64
+ },
65
+ {
66
+ "epoch": 7.0,
67
+ "eval_accuracy": 1.0,
68
+ "eval_loss": 0.29366230964660645,
69
+ "eval_runtime": 0.1402,
70
+ "eval_samples_per_second": 64.178,
71
+ "eval_steps_per_second": 7.131,
72
+ "step": 7
73
+ },
74
+ {
75
+ "epoch": 8.0,
76
+ "eval_accuracy": 1.0,
77
+ "eval_loss": 0.27746275067329407,
78
+ "eval_runtime": 0.1482,
79
+ "eval_samples_per_second": 60.711,
80
+ "eval_steps_per_second": 6.746,
81
+ "step": 8
82
+ },
83
+ {
84
+ "epoch": 9.0,
85
+ "eval_accuracy": 1.0,
86
+ "eval_loss": 0.23346243798732758,
87
+ "eval_runtime": 0.1319,
88
+ "eval_samples_per_second": 68.21,
89
+ "eval_steps_per_second": 7.579,
90
+ "step": 9
91
+ },
92
+ {
93
+ "epoch": 10.0,
94
+ "learning_rate": 1.8333333333333333e-05,
95
+ "loss": 0.4432,
96
+ "step": 10
97
+ },
98
+ {
99
+ "epoch": 10.0,
100
+ "eval_accuracy": 1.0,
101
+ "eval_loss": 0.2092142403125763,
102
+ "eval_runtime": 0.1641,
103
+ "eval_samples_per_second": 54.858,
104
+ "eval_steps_per_second": 6.095,
105
+ "step": 10
106
+ },
107
+ {
108
+ "epoch": 11.0,
109
+ "eval_accuracy": 1.0,
110
+ "eval_loss": 0.20070181787014008,
111
+ "eval_runtime": 0.1365,
112
+ "eval_samples_per_second": 65.913,
113
+ "eval_steps_per_second": 7.324,
114
+ "step": 11
115
+ },
116
+ {
117
+ "epoch": 12.0,
118
+ "eval_accuracy": 1.0,
119
+ "eval_loss": 0.16740131378173828,
120
+ "eval_runtime": 0.1357,
121
+ "eval_samples_per_second": 66.338,
122
+ "eval_steps_per_second": 7.371,
123
+ "step": 12
124
+ },
125
+ {
126
+ "epoch": 13.0,
127
+ "eval_accuracy": 1.0,
128
+ "eval_loss": 0.1546010971069336,
129
+ "eval_runtime": 0.1323,
130
+ "eval_samples_per_second": 68.042,
131
+ "eval_steps_per_second": 7.56,
132
+ "step": 13
133
+ },
134
+ {
135
+ "epoch": 14.0,
136
+ "eval_accuracy": 1.0,
137
+ "eval_loss": 0.13928303122520447,
138
+ "eval_runtime": 0.1256,
139
+ "eval_samples_per_second": 71.669,
140
+ "eval_steps_per_second": 7.963,
141
+ "step": 14
142
+ },
143
+ {
144
+ "epoch": 15.0,
145
+ "eval_accuracy": 1.0,
146
+ "eval_loss": 0.12973126769065857,
147
+ "eval_runtime": 0.1598,
148
+ "eval_samples_per_second": 56.334,
149
+ "eval_steps_per_second": 6.259,
150
+ "step": 15
151
+ },
152
+ {
153
+ "epoch": 16.0,
154
+ "eval_accuracy": 1.0,
155
+ "eval_loss": 0.12185994535684586,
156
+ "eval_runtime": 0.129,
157
+ "eval_samples_per_second": 69.791,
158
+ "eval_steps_per_second": 7.755,
159
+ "step": 16
160
+ },
161
+ {
162
+ "epoch": 17.0,
163
+ "eval_accuracy": 1.0,
164
+ "eval_loss": 0.10901562124490738,
165
+ "eval_runtime": 0.1351,
166
+ "eval_samples_per_second": 66.632,
167
+ "eval_steps_per_second": 7.404,
168
+ "step": 17
169
+ },
170
+ {
171
+ "epoch": 18.0,
172
+ "eval_accuracy": 1.0,
173
+ "eval_loss": 0.10118965059518814,
174
+ "eval_runtime": 0.1339,
175
+ "eval_samples_per_second": 67.193,
176
+ "eval_steps_per_second": 7.466,
177
+ "step": 18
178
+ },
179
+ {
180
+ "epoch": 19.0,
181
+ "eval_accuracy": 1.0,
182
+ "eval_loss": 0.09813226014375687,
183
+ "eval_runtime": 0.1408,
184
+ "eval_samples_per_second": 63.926,
185
+ "eval_steps_per_second": 7.103,
186
+ "step": 19
187
+ },
188
+ {
189
+ "epoch": 20.0,
190
+ "learning_rate": 1.6666666666666667e-05,
191
+ "loss": 0.1696,
192
+ "step": 20
193
+ },
194
+ {
195
+ "epoch": 20.0,
196
+ "eval_accuracy": 1.0,
197
+ "eval_loss": 0.08743412792682648,
198
+ "eval_runtime": 0.1305,
199
+ "eval_samples_per_second": 68.95,
200
+ "eval_steps_per_second": 7.661,
201
+ "step": 20
202
+ },
203
+ {
204
+ "epoch": 21.0,
205
+ "eval_accuracy": 1.0,
206
+ "eval_loss": 0.08119351416826248,
207
+ "eval_runtime": 0.1384,
208
+ "eval_samples_per_second": 65.021,
209
+ "eval_steps_per_second": 7.225,
210
+ "step": 21
211
+ },
212
+ {
213
+ "epoch": 22.0,
214
+ "eval_accuracy": 1.0,
215
+ "eval_loss": 0.07503622770309448,
216
+ "eval_runtime": 0.1377,
217
+ "eval_samples_per_second": 65.382,
218
+ "eval_steps_per_second": 7.265,
219
+ "step": 22
220
+ },
221
+ {
222
+ "epoch": 23.0,
223
+ "eval_accuracy": 1.0,
224
+ "eval_loss": 0.07538507133722305,
225
+ "eval_runtime": 0.1454,
226
+ "eval_samples_per_second": 61.884,
227
+ "eval_steps_per_second": 6.876,
228
+ "step": 23
229
+ },
230
+ {
231
+ "epoch": 24.0,
232
+ "eval_accuracy": 1.0,
233
+ "eval_loss": 0.06934237480163574,
234
+ "eval_runtime": 0.1277,
235
+ "eval_samples_per_second": 70.459,
236
+ "eval_steps_per_second": 7.829,
237
+ "step": 24
238
+ },
239
+ {
240
+ "epoch": 25.0,
241
+ "eval_accuracy": 1.0,
242
+ "eval_loss": 0.06419406086206436,
243
+ "eval_runtime": 0.1298,
244
+ "eval_samples_per_second": 69.338,
245
+ "eval_steps_per_second": 7.704,
246
+ "step": 25
247
+ },
248
+ {
249
+ "epoch": 26.0,
250
+ "eval_accuracy": 1.0,
251
+ "eval_loss": 0.06099466606974602,
252
+ "eval_runtime": 0.1313,
253
+ "eval_samples_per_second": 68.527,
254
+ "eval_steps_per_second": 7.614,
255
+ "step": 26
256
+ },
257
+ {
258
+ "epoch": 27.0,
259
+ "eval_accuracy": 1.0,
260
+ "eval_loss": 0.058600153774023056,
261
+ "eval_runtime": 2.7473,
262
+ "eval_samples_per_second": 3.276,
263
+ "eval_steps_per_second": 0.364,
264
+ "step": 27
265
+ },
266
+ {
267
+ "epoch": 28.0,
268
+ "eval_accuracy": 1.0,
269
+ "eval_loss": 0.05692301690578461,
270
+ "eval_runtime": 0.1269,
271
+ "eval_samples_per_second": 70.898,
272
+ "eval_steps_per_second": 7.878,
273
+ "step": 28
274
+ },
275
+ {
276
+ "epoch": 29.0,
277
+ "eval_accuracy": 1.0,
278
+ "eval_loss": 0.05317116528749466,
279
+ "eval_runtime": 0.1357,
280
+ "eval_samples_per_second": 66.346,
281
+ "eval_steps_per_second": 7.372,
282
+ "step": 29
283
+ },
284
+ {
285
+ "epoch": 30.0,
286
+ "learning_rate": 1.5000000000000002e-05,
287
+ "loss": 0.0792,
288
+ "step": 30
289
+ },
290
+ {
291
+ "epoch": 30.0,
292
+ "eval_accuracy": 1.0,
293
+ "eval_loss": 0.0506051704287529,
294
+ "eval_runtime": 0.1381,
295
+ "eval_samples_per_second": 65.164,
296
+ "eval_steps_per_second": 7.24,
297
+ "step": 30
298
+ },
299
+ {
300
+ "epoch": 31.0,
301
+ "eval_accuracy": 1.0,
302
+ "eval_loss": 0.049507126212120056,
303
+ "eval_runtime": 0.1288,
304
+ "eval_samples_per_second": 69.852,
305
+ "eval_steps_per_second": 7.761,
306
+ "step": 31
307
+ },
308
+ {
309
+ "epoch": 32.0,
310
+ "eval_accuracy": 1.0,
311
+ "eval_loss": 0.047622185200452805,
312
+ "eval_runtime": 0.1335,
313
+ "eval_samples_per_second": 67.403,
314
+ "eval_steps_per_second": 7.489,
315
+ "step": 32
316
+ },
317
+ {
318
+ "epoch": 33.0,
319
+ "eval_accuracy": 1.0,
320
+ "eval_loss": 0.04570432007312775,
321
+ "eval_runtime": 0.1542,
322
+ "eval_samples_per_second": 58.363,
323
+ "eval_steps_per_second": 6.485,
324
+ "step": 33
325
+ },
326
+ {
327
+ "epoch": 34.0,
328
+ "eval_accuracy": 1.0,
329
+ "eval_loss": 0.04416535794734955,
330
+ "eval_runtime": 0.1278,
331
+ "eval_samples_per_second": 70.446,
332
+ "eval_steps_per_second": 7.827,
333
+ "step": 34
334
+ },
335
+ {
336
+ "epoch": 35.0,
337
+ "eval_accuracy": 1.0,
338
+ "eval_loss": 0.041947636753320694,
339
+ "eval_runtime": 0.1271,
340
+ "eval_samples_per_second": 70.804,
341
+ "eval_steps_per_second": 7.867,
342
+ "step": 35
343
+ },
344
+ {
345
+ "epoch": 36.0,
346
+ "eval_accuracy": 1.0,
347
+ "eval_loss": 0.04041131213307381,
348
+ "eval_runtime": 0.1382,
349
+ "eval_samples_per_second": 65.106,
350
+ "eval_steps_per_second": 7.234,
351
+ "step": 36
352
+ },
353
+ {
354
+ "epoch": 37.0,
355
+ "eval_accuracy": 1.0,
356
+ "eval_loss": 0.03958812355995178,
357
+ "eval_runtime": 0.149,
358
+ "eval_samples_per_second": 60.405,
359
+ "eval_steps_per_second": 6.712,
360
+ "step": 37
361
+ },
362
+ {
363
+ "epoch": 38.0,
364
+ "eval_accuracy": 1.0,
365
+ "eval_loss": 0.0383819043636322,
366
+ "eval_runtime": 0.1281,
367
+ "eval_samples_per_second": 70.282,
368
+ "eval_steps_per_second": 7.809,
369
+ "step": 38
370
+ },
371
+ {
372
+ "epoch": 39.0,
373
+ "eval_accuracy": 1.0,
374
+ "eval_loss": 0.03773792088031769,
375
+ "eval_runtime": 0.1297,
376
+ "eval_samples_per_second": 69.409,
377
+ "eval_steps_per_second": 7.712,
378
+ "step": 39
379
+ },
380
+ {
381
+ "epoch": 40.0,
382
+ "learning_rate": 1.3333333333333333e-05,
383
+ "loss": 0.049,
384
+ "step": 40
385
+ },
386
+ {
387
+ "epoch": 40.0,
388
+ "eval_accuracy": 1.0,
389
+ "eval_loss": 0.03664920851588249,
390
+ "eval_runtime": 0.1332,
391
+ "eval_samples_per_second": 67.583,
392
+ "eval_steps_per_second": 7.509,
393
+ "step": 40
394
+ },
395
+ {
396
+ "epoch": 41.0,
397
+ "eval_accuracy": 1.0,
398
+ "eval_loss": 0.03701655566692352,
399
+ "eval_runtime": 0.1399,
400
+ "eval_samples_per_second": 64.34,
401
+ "eval_steps_per_second": 7.149,
402
+ "step": 41
403
+ },
404
+ {
405
+ "epoch": 42.0,
406
+ "eval_accuracy": 1.0,
407
+ "eval_loss": 0.03389488160610199,
408
+ "eval_runtime": 0.1394,
409
+ "eval_samples_per_second": 64.543,
410
+ "eval_steps_per_second": 7.171,
411
+ "step": 42
412
+ },
413
+ {
414
+ "epoch": 43.0,
415
+ "eval_accuracy": 1.0,
416
+ "eval_loss": 0.03304838761687279,
417
+ "eval_runtime": 0.1264,
418
+ "eval_samples_per_second": 71.198,
419
+ "eval_steps_per_second": 7.911,
420
+ "step": 43
421
+ },
422
+ {
423
+ "epoch": 44.0,
424
+ "eval_accuracy": 1.0,
425
+ "eval_loss": 0.03438062593340874,
426
+ "eval_runtime": 0.1325,
427
+ "eval_samples_per_second": 67.899,
428
+ "eval_steps_per_second": 7.544,
429
+ "step": 44
430
+ },
431
+ {
432
+ "epoch": 45.0,
433
+ "eval_accuracy": 1.0,
434
+ "eval_loss": 0.032368406653404236,
435
+ "eval_runtime": 0.1314,
436
+ "eval_samples_per_second": 68.518,
437
+ "eval_steps_per_second": 7.613,
438
+ "step": 45
439
+ },
440
+ {
441
+ "epoch": 46.0,
442
+ "eval_accuracy": 1.0,
443
+ "eval_loss": 0.03226124122738838,
444
+ "eval_runtime": 0.1386,
445
+ "eval_samples_per_second": 64.933,
446
+ "eval_steps_per_second": 7.215,
447
+ "step": 46
448
+ },
449
+ {
450
+ "epoch": 47.0,
451
+ "eval_accuracy": 1.0,
452
+ "eval_loss": 0.031140118837356567,
453
+ "eval_runtime": 0.1386,
454
+ "eval_samples_per_second": 64.914,
455
+ "eval_steps_per_second": 7.213,
456
+ "step": 47
457
+ },
458
+ {
459
+ "epoch": 48.0,
460
+ "eval_accuracy": 1.0,
461
+ "eval_loss": 0.030753135681152344,
462
+ "eval_runtime": 0.1285,
463
+ "eval_samples_per_second": 70.06,
464
+ "eval_steps_per_second": 7.784,
465
+ "step": 48
466
+ },
467
+ {
468
+ "epoch": 49.0,
469
+ "eval_accuracy": 1.0,
470
+ "eval_loss": 0.029377290979027748,
471
+ "eval_runtime": 0.134,
472
+ "eval_samples_per_second": 67.146,
473
+ "eval_steps_per_second": 7.461,
474
+ "step": 49
475
+ },
476
+ {
477
+ "epoch": 50.0,
478
+ "learning_rate": 1.1666666666666668e-05,
479
+ "loss": 0.0359,
480
+ "step": 50
481
+ },
482
+ {
483
+ "epoch": 50.0,
484
+ "eval_accuracy": 1.0,
485
+ "eval_loss": 0.02965053915977478,
486
+ "eval_runtime": 0.1451,
487
+ "eval_samples_per_second": 62.041,
488
+ "eval_steps_per_second": 6.893,
489
+ "step": 50
490
+ },
491
+ {
492
+ "epoch": 51.0,
493
+ "eval_accuracy": 1.0,
494
+ "eval_loss": 0.02891460806131363,
495
+ "eval_runtime": 0.1394,
496
+ "eval_samples_per_second": 64.561,
497
+ "eval_steps_per_second": 7.173,
498
+ "step": 51
499
+ },
500
+ {
501
+ "epoch": 52.0,
502
+ "eval_accuracy": 1.0,
503
+ "eval_loss": 0.028457429260015488,
504
+ "eval_runtime": 0.1579,
505
+ "eval_samples_per_second": 56.996,
506
+ "eval_steps_per_second": 6.333,
507
+ "step": 52
508
+ },
509
+ {
510
+ "epoch": 53.0,
511
+ "eval_accuracy": 1.0,
512
+ "eval_loss": 0.027989288792014122,
513
+ "eval_runtime": 2.6177,
514
+ "eval_samples_per_second": 3.438,
515
+ "eval_steps_per_second": 0.382,
516
+ "step": 53
517
+ },
518
+ {
519
+ "epoch": 54.0,
520
+ "eval_accuracy": 1.0,
521
+ "eval_loss": 0.02697157859802246,
522
+ "eval_runtime": 0.1341,
523
+ "eval_samples_per_second": 67.138,
524
+ "eval_steps_per_second": 7.46,
525
+ "step": 54
526
+ },
527
+ {
528
+ "epoch": 55.0,
529
+ "eval_accuracy": 1.0,
530
+ "eval_loss": 0.026479896157979965,
531
+ "eval_runtime": 0.138,
532
+ "eval_samples_per_second": 65.23,
533
+ "eval_steps_per_second": 7.248,
534
+ "step": 55
535
+ },
536
+ {
537
+ "epoch": 56.0,
538
+ "eval_accuracy": 1.0,
539
+ "eval_loss": 0.02658195048570633,
540
+ "eval_runtime": 0.1301,
541
+ "eval_samples_per_second": 69.158,
542
+ "eval_steps_per_second": 7.684,
543
+ "step": 56
544
+ },
545
+ {
546
+ "epoch": 57.0,
547
+ "eval_accuracy": 1.0,
548
+ "eval_loss": 0.026072878390550613,
549
+ "eval_runtime": 0.137,
550
+ "eval_samples_per_second": 65.67,
551
+ "eval_steps_per_second": 7.297,
552
+ "step": 57
553
+ },
554
+ {
555
+ "epoch": 58.0,
556
+ "eval_accuracy": 1.0,
557
+ "eval_loss": 0.026831289753317833,
558
+ "eval_runtime": 0.1385,
559
+ "eval_samples_per_second": 64.98,
560
+ "eval_steps_per_second": 7.22,
561
+ "step": 58
562
+ },
563
+ {
564
+ "epoch": 59.0,
565
+ "eval_accuracy": 1.0,
566
+ "eval_loss": 0.025475598871707916,
567
+ "eval_runtime": 0.1444,
568
+ "eval_samples_per_second": 62.335,
569
+ "eval_steps_per_second": 6.926,
570
+ "step": 59
571
+ },
572
+ {
573
+ "epoch": 60.0,
574
+ "learning_rate": 1e-05,
575
+ "loss": 0.0293,
576
+ "step": 60
577
+ },
578
+ {
579
+ "epoch": 60.0,
580
+ "eval_accuracy": 1.0,
581
+ "eval_loss": 0.0254827793687582,
582
+ "eval_runtime": 0.1362,
583
+ "eval_samples_per_second": 66.058,
584
+ "eval_steps_per_second": 7.34,
585
+ "step": 60
586
+ },
587
+ {
588
+ "epoch": 61.0,
589
+ "eval_accuracy": 1.0,
590
+ "eval_loss": 0.02456030063331127,
591
+ "eval_runtime": 0.1455,
592
+ "eval_samples_per_second": 61.856,
593
+ "eval_steps_per_second": 6.873,
594
+ "step": 61
595
+ },
596
+ {
597
+ "epoch": 62.0,
598
+ "eval_accuracy": 1.0,
599
+ "eval_loss": 0.025619812309741974,
600
+ "eval_runtime": 0.14,
601
+ "eval_samples_per_second": 64.308,
602
+ "eval_steps_per_second": 7.145,
603
+ "step": 62
604
+ },
605
+ {
606
+ "epoch": 63.0,
607
+ "eval_accuracy": 1.0,
608
+ "eval_loss": 0.024687545374035835,
609
+ "eval_runtime": 0.1341,
610
+ "eval_samples_per_second": 67.136,
611
+ "eval_steps_per_second": 7.46,
612
+ "step": 63
613
+ },
614
+ {
615
+ "epoch": 64.0,
616
+ "eval_accuracy": 1.0,
617
+ "eval_loss": 0.02405836433172226,
618
+ "eval_runtime": 0.1463,
619
+ "eval_samples_per_second": 61.502,
620
+ "eval_steps_per_second": 6.834,
621
+ "step": 64
622
+ },
623
+ {
624
+ "epoch": 65.0,
625
+ "eval_accuracy": 1.0,
626
+ "eval_loss": 0.02410367876291275,
627
+ "eval_runtime": 0.1336,
628
+ "eval_samples_per_second": 67.368,
629
+ "eval_steps_per_second": 7.485,
630
+ "step": 65
631
+ },
632
+ {
633
+ "epoch": 66.0,
634
+ "eval_accuracy": 1.0,
635
+ "eval_loss": 0.02341434732079506,
636
+ "eval_runtime": 0.1326,
637
+ "eval_samples_per_second": 67.862,
638
+ "eval_steps_per_second": 7.54,
639
+ "step": 66
640
+ },
641
+ {
642
+ "epoch": 67.0,
643
+ "eval_accuracy": 1.0,
644
+ "eval_loss": 0.023647040128707886,
645
+ "eval_runtime": 0.1325,
646
+ "eval_samples_per_second": 67.902,
647
+ "eval_steps_per_second": 7.545,
648
+ "step": 67
649
+ },
650
+ {
651
+ "epoch": 68.0,
652
+ "eval_accuracy": 1.0,
653
+ "eval_loss": 0.02281663753092289,
654
+ "eval_runtime": 0.1334,
655
+ "eval_samples_per_second": 67.464,
656
+ "eval_steps_per_second": 7.496,
657
+ "step": 68
658
+ },
659
+ {
660
+ "epoch": 69.0,
661
+ "eval_accuracy": 1.0,
662
+ "eval_loss": 0.023257458582520485,
663
+ "eval_runtime": 0.1308,
664
+ "eval_samples_per_second": 68.813,
665
+ "eval_steps_per_second": 7.646,
666
+ "step": 69
667
+ },
668
+ {
669
+ "epoch": 70.0,
670
+ "learning_rate": 8.333333333333334e-06,
671
+ "loss": 0.0256,
672
+ "step": 70
673
+ },
674
+ {
675
+ "epoch": 70.0,
676
+ "eval_accuracy": 1.0,
677
+ "eval_loss": 0.022747112438082695,
678
+ "eval_runtime": 0.1352,
679
+ "eval_samples_per_second": 66.563,
680
+ "eval_steps_per_second": 7.396,
681
+ "step": 70
682
+ },
683
+ {
684
+ "epoch": 71.0,
685
+ "eval_accuracy": 1.0,
686
+ "eval_loss": 0.022654477506875992,
687
+ "eval_runtime": 0.138,
688
+ "eval_samples_per_second": 65.228,
689
+ "eval_steps_per_second": 7.248,
690
+ "step": 71
691
+ },
692
+ {
693
+ "epoch": 72.0,
694
+ "eval_accuracy": 1.0,
695
+ "eval_loss": 0.022984912618994713,
696
+ "eval_runtime": 0.1431,
697
+ "eval_samples_per_second": 62.899,
698
+ "eval_steps_per_second": 6.989,
699
+ "step": 72
700
+ },
701
+ {
702
+ "epoch": 73.0,
703
+ "eval_accuracy": 1.0,
704
+ "eval_loss": 0.022151878103613853,
705
+ "eval_runtime": 0.137,
706
+ "eval_samples_per_second": 65.705,
707
+ "eval_steps_per_second": 7.301,
708
+ "step": 73
709
+ },
710
+ {
711
+ "epoch": 74.0,
712
+ "eval_accuracy": 1.0,
713
+ "eval_loss": 0.022022059187293053,
714
+ "eval_runtime": 0.1274,
715
+ "eval_samples_per_second": 70.646,
716
+ "eval_steps_per_second": 7.85,
717
+ "step": 74
718
+ },
719
+ {
720
+ "epoch": 75.0,
721
+ "eval_accuracy": 1.0,
722
+ "eval_loss": 0.02206052653491497,
723
+ "eval_runtime": 0.1313,
724
+ "eval_samples_per_second": 68.558,
725
+ "eval_steps_per_second": 7.618,
726
+ "step": 75
727
+ },
728
+ {
729
+ "epoch": 76.0,
730
+ "eval_accuracy": 1.0,
731
+ "eval_loss": 0.021884923800826073,
732
+ "eval_runtime": 0.1275,
733
+ "eval_samples_per_second": 70.602,
734
+ "eval_steps_per_second": 7.845,
735
+ "step": 76
736
+ },
737
+ {
738
+ "epoch": 77.0,
739
+ "eval_accuracy": 1.0,
740
+ "eval_loss": 0.021523766219615936,
741
+ "eval_runtime": 0.1281,
742
+ "eval_samples_per_second": 70.269,
743
+ "eval_steps_per_second": 7.808,
744
+ "step": 77
745
+ },
746
+ {
747
+ "epoch": 78.0,
748
+ "eval_accuracy": 1.0,
749
+ "eval_loss": 0.02103014849126339,
750
+ "eval_runtime": 0.1284,
751
+ "eval_samples_per_second": 70.078,
752
+ "eval_steps_per_second": 7.786,
753
+ "step": 78
754
+ },
755
+ {
756
+ "epoch": 79.0,
757
+ "eval_accuracy": 1.0,
758
+ "eval_loss": 0.020907729864120483,
759
+ "eval_runtime": 0.1402,
760
+ "eval_samples_per_second": 64.198,
761
+ "eval_steps_per_second": 7.133,
762
+ "step": 79
763
+ },
764
+ {
765
+ "epoch": 80.0,
766
+ "learning_rate": 6.666666666666667e-06,
767
+ "loss": 0.0234,
768
+ "step": 80
769
+ },
770
+ {
771
+ "epoch": 80.0,
772
+ "eval_accuracy": 1.0,
773
+ "eval_loss": 0.021248452365398407,
774
+ "eval_runtime": 0.138,
775
+ "eval_samples_per_second": 65.201,
776
+ "eval_steps_per_second": 7.245,
777
+ "step": 80
778
+ },
779
+ {
780
+ "epoch": 81.0,
781
+ "eval_accuracy": 1.0,
782
+ "eval_loss": 0.02118901163339615,
783
+ "eval_runtime": 1.9564,
784
+ "eval_samples_per_second": 4.6,
785
+ "eval_steps_per_second": 0.511,
786
+ "step": 81
787
+ },
788
+ {
789
+ "epoch": 82.0,
790
+ "eval_accuracy": 1.0,
791
+ "eval_loss": 0.020638220012187958,
792
+ "eval_runtime": 0.1298,
793
+ "eval_samples_per_second": 69.343,
794
+ "eval_steps_per_second": 7.705,
795
+ "step": 82
796
+ },
797
+ {
798
+ "epoch": 83.0,
799
+ "eval_accuracy": 1.0,
800
+ "eval_loss": 0.0210101418197155,
801
+ "eval_runtime": 0.1332,
802
+ "eval_samples_per_second": 67.563,
803
+ "eval_steps_per_second": 7.507,
804
+ "step": 83
805
+ },
806
+ {
807
+ "epoch": 84.0,
808
+ "eval_accuracy": 1.0,
809
+ "eval_loss": 0.020395496860146523,
810
+ "eval_runtime": 0.1435,
811
+ "eval_samples_per_second": 62.705,
812
+ "eval_steps_per_second": 6.967,
813
+ "step": 84
814
+ },
815
+ {
816
+ "epoch": 85.0,
817
+ "eval_accuracy": 1.0,
818
+ "eval_loss": 0.02046314626932144,
819
+ "eval_runtime": 0.1272,
820
+ "eval_samples_per_second": 70.782,
821
+ "eval_steps_per_second": 7.865,
822
+ "step": 85
823
+ },
824
+ {
825
+ "epoch": 86.0,
826
+ "eval_accuracy": 1.0,
827
+ "eval_loss": 0.020390955731272697,
828
+ "eval_runtime": 0.131,
829
+ "eval_samples_per_second": 68.683,
830
+ "eval_steps_per_second": 7.631,
831
+ "step": 86
832
+ },
833
+ {
834
+ "epoch": 87.0,
835
+ "eval_accuracy": 1.0,
836
+ "eval_loss": 0.02033914439380169,
837
+ "eval_runtime": 0.1316,
838
+ "eval_samples_per_second": 68.365,
839
+ "eval_steps_per_second": 7.596,
840
+ "step": 87
841
+ },
842
+ {
843
+ "epoch": 88.0,
844
+ "eval_accuracy": 1.0,
845
+ "eval_loss": 0.02000078745186329,
846
+ "eval_runtime": 0.1264,
847
+ "eval_samples_per_second": 71.187,
848
+ "eval_steps_per_second": 7.91,
849
+ "step": 88
850
+ },
851
+ {
852
+ "epoch": 89.0,
853
+ "eval_accuracy": 1.0,
854
+ "eval_loss": 0.020298130810260773,
855
+ "eval_runtime": 0.1425,
856
+ "eval_samples_per_second": 63.148,
857
+ "eval_steps_per_second": 7.016,
858
+ "step": 89
859
+ },
860
+ {
861
+ "epoch": 90.0,
862
+ "learning_rate": 5e-06,
863
+ "loss": 0.0218,
864
+ "step": 90
865
+ },
866
+ {
867
+ "epoch": 90.0,
868
+ "eval_accuracy": 1.0,
869
+ "eval_loss": 0.01956954225897789,
870
+ "eval_runtime": 0.1265,
871
+ "eval_samples_per_second": 71.16,
872
+ "eval_steps_per_second": 7.907,
873
+ "step": 90
874
+ },
875
+ {
876
+ "epoch": 91.0,
877
+ "eval_accuracy": 1.0,
878
+ "eval_loss": 0.01989126391708851,
879
+ "eval_runtime": 0.1281,
880
+ "eval_samples_per_second": 70.264,
881
+ "eval_steps_per_second": 7.807,
882
+ "step": 91
883
+ },
884
+ {
885
+ "epoch": 92.0,
886
+ "eval_accuracy": 1.0,
887
+ "eval_loss": 0.019824812188744545,
888
+ "eval_runtime": 0.138,
889
+ "eval_samples_per_second": 65.198,
890
+ "eval_steps_per_second": 7.244,
891
+ "step": 92
892
+ },
893
+ {
894
+ "epoch": 93.0,
895
+ "eval_accuracy": 1.0,
896
+ "eval_loss": 0.019585557281970978,
897
+ "eval_runtime": 0.1356,
898
+ "eval_samples_per_second": 66.353,
899
+ "eval_steps_per_second": 7.373,
900
+ "step": 93
901
+ },
902
+ {
903
+ "epoch": 94.0,
904
+ "eval_accuracy": 1.0,
905
+ "eval_loss": 0.019477464258670807,
906
+ "eval_runtime": 6.0159,
907
+ "eval_samples_per_second": 1.496,
908
+ "eval_steps_per_second": 0.166,
909
+ "step": 94
910
+ },
911
+ {
912
+ "epoch": 95.0,
913
+ "eval_accuracy": 1.0,
914
+ "eval_loss": 0.019807875156402588,
915
+ "eval_runtime": 0.1312,
916
+ "eval_samples_per_second": 68.571,
917
+ "eval_steps_per_second": 7.619,
918
+ "step": 95
919
+ },
920
+ {
921
+ "epoch": 96.0,
922
+ "eval_accuracy": 1.0,
923
+ "eval_loss": 0.019691793248057365,
924
+ "eval_runtime": 0.1276,
925
+ "eval_samples_per_second": 70.51,
926
+ "eval_steps_per_second": 7.834,
927
+ "step": 96
928
+ },
929
+ {
930
+ "epoch": 97.0,
931
+ "eval_accuracy": 1.0,
932
+ "eval_loss": 0.01933690346777439,
933
+ "eval_runtime": 0.1347,
934
+ "eval_samples_per_second": 66.808,
935
+ "eval_steps_per_second": 7.423,
936
+ "step": 97
937
+ },
938
+ {
939
+ "epoch": 98.0,
940
+ "eval_accuracy": 1.0,
941
+ "eval_loss": 0.019513830542564392,
942
+ "eval_runtime": 0.1261,
943
+ "eval_samples_per_second": 71.367,
944
+ "eval_steps_per_second": 7.93,
945
+ "step": 98
946
+ },
947
+ {
948
+ "epoch": 99.0,
949
+ "eval_accuracy": 1.0,
950
+ "eval_loss": 0.019352566450834274,
951
+ "eval_runtime": 0.1395,
952
+ "eval_samples_per_second": 64.504,
953
+ "eval_steps_per_second": 7.167,
954
+ "step": 99
955
+ },
956
+ {
957
+ "epoch": 100.0,
958
+ "learning_rate": 3.3333333333333333e-06,
959
+ "loss": 0.0208,
960
+ "step": 100
961
+ },
962
+ {
963
+ "epoch": 100.0,
964
+ "eval_accuracy": 1.0,
965
+ "eval_loss": 0.01923985406756401,
966
+ "eval_runtime": 5.8953,
967
+ "eval_samples_per_second": 1.527,
968
+ "eval_steps_per_second": 0.17,
969
+ "step": 100
970
+ },
971
+ {
972
+ "epoch": 101.0,
973
+ "eval_accuracy": 1.0,
974
+ "eval_loss": 0.01895654946565628,
975
+ "eval_runtime": 6.9547,
976
+ "eval_samples_per_second": 1.294,
977
+ "eval_steps_per_second": 0.144,
978
+ "step": 101
979
+ },
980
+ {
981
+ "epoch": 102.0,
982
+ "eval_accuracy": 1.0,
983
+ "eval_loss": 0.018784379586577415,
984
+ "eval_runtime": 0.153,
985
+ "eval_samples_per_second": 58.805,
986
+ "eval_steps_per_second": 6.534,
987
+ "step": 102
988
+ },
989
+ {
990
+ "epoch": 103.0,
991
+ "eval_accuracy": 1.0,
992
+ "eval_loss": 0.019066665321588516,
993
+ "eval_runtime": 0.1378,
994
+ "eval_samples_per_second": 65.292,
995
+ "eval_steps_per_second": 7.255,
996
+ "step": 103
997
+ },
998
+ {
999
+ "epoch": 104.0,
1000
+ "eval_accuracy": 1.0,
1001
+ "eval_loss": 0.01931922882795334,
1002
+ "eval_runtime": 0.1359,
1003
+ "eval_samples_per_second": 66.226,
1004
+ "eval_steps_per_second": 7.358,
1005
+ "step": 104
1006
+ },
1007
+ {
1008
+ "epoch": 105.0,
1009
+ "eval_accuracy": 1.0,
1010
+ "eval_loss": 0.019273685291409492,
1011
+ "eval_runtime": 0.1487,
1012
+ "eval_samples_per_second": 60.506,
1013
+ "eval_steps_per_second": 6.723,
1014
+ "step": 105
1015
+ },
1016
+ {
1017
+ "epoch": 106.0,
1018
+ "eval_accuracy": 1.0,
1019
+ "eval_loss": 0.018980564549565315,
1020
+ "eval_runtime": 0.1426,
1021
+ "eval_samples_per_second": 63.122,
1022
+ "eval_steps_per_second": 7.014,
1023
+ "step": 106
1024
+ },
1025
+ {
1026
+ "epoch": 107.0,
1027
+ "eval_accuracy": 1.0,
1028
+ "eval_loss": 0.01911451853811741,
1029
+ "eval_runtime": 5.4956,
1030
+ "eval_samples_per_second": 1.638,
1031
+ "eval_steps_per_second": 0.182,
1032
+ "step": 107
1033
+ },
1034
+ {
1035
+ "epoch": 108.0,
1036
+ "eval_accuracy": 1.0,
1037
+ "eval_loss": 0.018641483038663864,
1038
+ "eval_runtime": 0.156,
1039
+ "eval_samples_per_second": 57.704,
1040
+ "eval_steps_per_second": 6.412,
1041
+ "step": 108
1042
+ },
1043
+ {
1044
+ "epoch": 109.0,
1045
+ "eval_accuracy": 1.0,
1046
+ "eval_loss": 0.018821991980075836,
1047
+ "eval_runtime": 0.191,
1048
+ "eval_samples_per_second": 47.114,
1049
+ "eval_steps_per_second": 5.235,
1050
+ "step": 109
1051
+ },
1052
+ {
1053
+ "epoch": 110.0,
1054
+ "learning_rate": 1.6666666666666667e-06,
1055
+ "loss": 0.0202,
1056
+ "step": 110
1057
+ },
1058
+ {
1059
+ "epoch": 110.0,
1060
+ "eval_accuracy": 1.0,
1061
+ "eval_loss": 0.018715376034379005,
1062
+ "eval_runtime": 5.378,
1063
+ "eval_samples_per_second": 1.673,
1064
+ "eval_steps_per_second": 0.186,
1065
+ "step": 110
1066
+ },
1067
+ {
1068
+ "epoch": 111.0,
1069
+ "eval_accuracy": 1.0,
1070
+ "eval_loss": 0.01905597560107708,
1071
+ "eval_runtime": 0.1393,
1072
+ "eval_samples_per_second": 64.614,
1073
+ "eval_steps_per_second": 7.179,
1074
+ "step": 111
1075
+ },
1076
+ {
1077
+ "epoch": 112.0,
1078
+ "eval_accuracy": 1.0,
1079
+ "eval_loss": 0.01877736486494541,
1080
+ "eval_runtime": 0.1478,
1081
+ "eval_samples_per_second": 60.896,
1082
+ "eval_steps_per_second": 6.766,
1083
+ "step": 112
1084
+ },
1085
+ {
1086
+ "epoch": 113.0,
1087
+ "eval_accuracy": 1.0,
1088
+ "eval_loss": 0.01854606531560421,
1089
+ "eval_runtime": 5.9004,
1090
+ "eval_samples_per_second": 1.525,
1091
+ "eval_steps_per_second": 0.169,
1092
+ "step": 113
1093
+ },
1094
+ {
1095
+ "epoch": 114.0,
1096
+ "eval_accuracy": 1.0,
1097
+ "eval_loss": 0.018782339990139008,
1098
+ "eval_runtime": 0.141,
1099
+ "eval_samples_per_second": 63.82,
1100
+ "eval_steps_per_second": 7.091,
1101
+ "step": 114
1102
+ },
1103
+ {
1104
+ "epoch": 115.0,
1105
+ "eval_accuracy": 1.0,
1106
+ "eval_loss": 0.018274879083037376,
1107
+ "eval_runtime": 6.7975,
1108
+ "eval_samples_per_second": 1.324,
1109
+ "eval_steps_per_second": 0.147,
1110
+ "step": 115
1111
+ },
1112
+ {
1113
+ "epoch": 116.0,
1114
+ "eval_accuracy": 1.0,
1115
+ "eval_loss": 0.018706435337662697,
1116
+ "eval_runtime": 0.1365,
1117
+ "eval_samples_per_second": 65.941,
1118
+ "eval_steps_per_second": 7.327,
1119
+ "step": 116
1120
+ },
1121
+ {
1122
+ "epoch": 117.0,
1123
+ "eval_accuracy": 1.0,
1124
+ "eval_loss": 0.018547622486948967,
1125
+ "eval_runtime": 2.2842,
1126
+ "eval_samples_per_second": 3.94,
1127
+ "eval_steps_per_second": 0.438,
1128
+ "step": 117
1129
+ },
1130
+ {
1131
+ "epoch": 118.0,
1132
+ "eval_accuracy": 1.0,
1133
+ "eval_loss": 0.018446724861860275,
1134
+ "eval_runtime": 6.0918,
1135
+ "eval_samples_per_second": 1.477,
1136
+ "eval_steps_per_second": 0.164,
1137
+ "step": 118
1138
+ },
1139
+ {
1140
+ "epoch": 119.0,
1141
+ "eval_accuracy": 1.0,
1142
+ "eval_loss": 0.018762176856398582,
1143
+ "eval_runtime": 0.1343,
1144
+ "eval_samples_per_second": 67.039,
1145
+ "eval_steps_per_second": 7.449,
1146
+ "step": 119
1147
+ },
1148
+ {
1149
+ "epoch": 120.0,
1150
+ "learning_rate": 0.0,
1151
+ "loss": 0.0197,
1152
+ "step": 120
1153
+ },
1154
+ {
1155
+ "epoch": 120.0,
1156
+ "eval_accuracy": 1.0,
1157
+ "eval_loss": 0.01847647689282894,
1158
+ "eval_runtime": 0.1403,
1159
+ "eval_samples_per_second": 64.13,
1160
+ "eval_steps_per_second": 7.126,
1161
+ "step": 120
1162
+ },
1163
+ {
1164
+ "epoch": 120.0,
1165
+ "step": 120,
1166
+ "total_flos": 4.7425097644130304e+17,
1167
+ "train_loss": 0.07813952726622422,
1168
+ "train_runtime": 1030.5859,
1169
+ "train_samples_per_second": 5.938,
1170
+ "train_steps_per_second": 0.116
1171
+ }
1172
+ ],
1173
+ "logging_steps": 10,
1174
+ "max_steps": 120,
1175
+ "num_input_tokens_seen": 0,
1176
+ "num_train_epochs": 120,
1177
+ "save_steps": 500,
1178
+ "total_flos": 4.7425097644130304e+17,
1179
+ "train_batch_size": 200,
1180
+ "trial_name": null,
1181
+ "trial_params": null
1182
+ }