End of training
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +317 -371
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 1.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second":
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 33.33,
|
3 |
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.10236643999814987,
|
5 |
+
"eval_runtime": 0.1221,
|
6 |
+
"eval_samples_per_second": 139.257,
|
7 |
+
"eval_steps_per_second": 8.192,
|
8 |
+
"train_loss": 0.26825646698474886,
|
9 |
+
"train_runtime": 260.0145,
|
10 |
+
"train_samples_per_second": 29.037,
|
11 |
+
"train_steps_per_second": 0.192
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 1.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 33.33,
|
3 |
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.10236643999814987,
|
5 |
+
"eval_runtime": 0.1221,
|
6 |
+
"eval_samples_per_second": 139.257,
|
7 |
+
"eval_steps_per_second": 8.192
|
8 |
}
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 33.33,
|
3 |
+
"train_loss": 0.26825646698474886,
|
4 |
+
"train_runtime": 260.0145,
|
5 |
+
"train_samples_per_second": 29.037,
|
6 |
+
"train_steps_per_second": 0.192
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,685 +1,631 @@
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
-
"best_model_checkpoint": "vit-base-patch16-224-Trial008-YEL_STEM2/checkpoint-
|
4 |
-
"epoch":
|
5 |
"global_step": 50,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch": 0.
|
12 |
"learning_rate": 1e-05,
|
13 |
-
"loss": 0.
|
14 |
"step": 1
|
15 |
},
|
16 |
{
|
17 |
-
"epoch": 0.
|
18 |
-
"eval_accuracy": 0.
|
19 |
-
"eval_loss": 0.
|
20 |
-
"eval_runtime": 0.
|
21 |
-
"eval_samples_per_second":
|
22 |
-
"eval_steps_per_second":
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 1.
|
27 |
"learning_rate": 2e-05,
|
28 |
-
"loss": 0.
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
-
"epoch":
|
33 |
-
"eval_accuracy": 0.7777777777777778,
|
34 |
-
"eval_loss": 0.5949051976203918,
|
35 |
-
"eval_runtime": 0.1691,
|
36 |
-
"eval_samples_per_second": 159.667,
|
37 |
-
"eval_steps_per_second": 5.914,
|
38 |
-
"step": 2
|
39 |
-
},
|
40 |
-
{
|
41 |
-
"epoch": 2.4,
|
42 |
"learning_rate": 3e-05,
|
43 |
-
"loss": 0.
|
44 |
"step": 3
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 2.
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_loss": 0.
|
50 |
-
"eval_runtime": 0.
|
51 |
-
"eval_samples_per_second":
|
52 |
-
"eval_steps_per_second":
|
53 |
"step": 3
|
54 |
},
|
55 |
{
|
56 |
-
"epoch":
|
57 |
"learning_rate": 4e-05,
|
58 |
-
"loss": 0.
|
59 |
"step": 4
|
60 |
},
|
61 |
{
|
62 |
-
"epoch":
|
63 |
-
"
|
64 |
-
"
|
65 |
-
"
|
|
|
|
|
|
|
66 |
},
|
67 |
{
|
68 |
-
"epoch":
|
69 |
-
"
|
70 |
-
"
|
71 |
-
"eval_runtime": 0.1681,
|
72 |
-
"eval_samples_per_second": 160.574,
|
73 |
-
"eval_steps_per_second": 5.947,
|
74 |
"step": 5
|
75 |
},
|
76 |
{
|
77 |
-
"epoch": 4.
|
78 |
"learning_rate": 4.888888888888889e-05,
|
79 |
-
"loss": 0.
|
80 |
"step": 6
|
81 |
},
|
82 |
{
|
83 |
-
"epoch": 4.
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"eval_runtime": 0.
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second":
|
89 |
"step": 6
|
90 |
},
|
91 |
{
|
92 |
-
"epoch":
|
93 |
"learning_rate": 4.7777777777777784e-05,
|
94 |
-
"loss": 0.
|
95 |
"step": 7
|
96 |
},
|
97 |
{
|
98 |
-
"epoch":
|
99 |
-
"eval_accuracy": 0.
|
100 |
-
"eval_loss": 0.
|
101 |
-
"eval_runtime": 0.
|
102 |
-
"eval_samples_per_second":
|
103 |
-
"eval_steps_per_second":
|
104 |
"step": 7
|
105 |
},
|
106 |
{
|
107 |
-
"epoch":
|
108 |
"learning_rate": 4.666666666666667e-05,
|
109 |
-
"loss": 0.
|
110 |
"step": 8
|
111 |
},
|
112 |
{
|
113 |
-
"epoch": 6.
|
114 |
-
"
|
115 |
-
"
|
116 |
-
"
|
117 |
-
"eval_samples_per_second": 161.655,
|
118 |
-
"eval_steps_per_second": 5.987,
|
119 |
-
"step": 8
|
120 |
},
|
121 |
{
|
122 |
-
"epoch":
|
123 |
-
"
|
124 |
-
"
|
|
|
|
|
|
|
125 |
"step": 9
|
126 |
},
|
127 |
{
|
128 |
-
"epoch":
|
129 |
"learning_rate": 4.4444444444444447e-05,
|
130 |
-
"loss": 0.
|
131 |
"step": 10
|
132 |
},
|
133 |
{
|
134 |
-
"epoch":
|
135 |
-
"eval_accuracy": 0
|
136 |
-
"eval_loss": 0.
|
137 |
-
"eval_runtime": 0.
|
138 |
-
"eval_samples_per_second":
|
139 |
-
"eval_steps_per_second":
|
140 |
"step": 10
|
141 |
},
|
142 |
{
|
143 |
-
"epoch":
|
144 |
"learning_rate": 4.3333333333333334e-05,
|
145 |
-
"loss": 0.
|
146 |
-
"step": 11
|
147 |
-
},
|
148 |
-
{
|
149 |
-
"epoch": 8.8,
|
150 |
-
"eval_accuracy": 0.7777777777777778,
|
151 |
-
"eval_loss": 0.37759944796562195,
|
152 |
-
"eval_runtime": 0.1672,
|
153 |
-
"eval_samples_per_second": 161.516,
|
154 |
-
"eval_steps_per_second": 5.982,
|
155 |
"step": 11
|
156 |
},
|
157 |
{
|
158 |
-
"epoch":
|
159 |
"learning_rate": 4.222222222222222e-05,
|
160 |
-
"loss": 0.
|
161 |
"step": 12
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
-
"eval_accuracy": 0
|
166 |
-
"eval_loss": 0.
|
167 |
-
"eval_runtime": 0.
|
168 |
-
"eval_samples_per_second":
|
169 |
-
"eval_steps_per_second":
|
170 |
"step": 12
|
171 |
},
|
172 |
{
|
173 |
-
"epoch":
|
174 |
"learning_rate": 4.111111111111111e-05,
|
175 |
-
"loss": 0.
|
176 |
"step": 13
|
177 |
},
|
178 |
{
|
179 |
-
"epoch":
|
180 |
-
"eval_accuracy": 0
|
181 |
-
"eval_loss": 0.
|
182 |
-
"eval_runtime": 0.
|
183 |
-
"eval_samples_per_second":
|
184 |
-
"eval_steps_per_second":
|
185 |
"step": 13
|
186 |
},
|
187 |
{
|
188 |
-
"epoch":
|
189 |
"learning_rate": 4e-05,
|
190 |
-
"loss": 0.
|
191 |
"step": 14
|
192 |
},
|
193 |
{
|
194 |
-
"epoch":
|
195 |
"learning_rate": 3.888888888888889e-05,
|
196 |
-
"loss": 0.
|
197 |
"step": 15
|
198 |
},
|
199 |
{
|
200 |
-
"epoch":
|
201 |
-
"eval_accuracy": 0
|
202 |
-
"eval_loss": 0.
|
203 |
-
"eval_runtime": 0.
|
204 |
-
"eval_samples_per_second":
|
205 |
-
"eval_steps_per_second":
|
206 |
"step": 15
|
207 |
},
|
208 |
{
|
209 |
-
"epoch":
|
210 |
"learning_rate": 3.777777777777778e-05,
|
211 |
-
"loss": 0.
|
212 |
"step": 16
|
213 |
},
|
214 |
{
|
215 |
-
"epoch":
|
216 |
-
"eval_accuracy": 0
|
217 |
-
"eval_loss": 0.
|
218 |
-
"eval_runtime": 0.
|
219 |
-
"eval_samples_per_second":
|
220 |
-
"eval_steps_per_second":
|
221 |
"step": 16
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
"learning_rate": 3.6666666666666666e-05,
|
226 |
-
"loss": 0.
|
227 |
"step": 17
|
228 |
},
|
229 |
{
|
230 |
-
"epoch":
|
231 |
-
"eval_accuracy": 0.8888888888888888,
|
232 |
-
"eval_loss": 0.20562799274921417,
|
233 |
-
"eval_runtime": 0.1749,
|
234 |
-
"eval_samples_per_second": 154.356,
|
235 |
-
"eval_steps_per_second": 5.717,
|
236 |
-
"step": 17
|
237 |
-
},
|
238 |
-
{
|
239 |
-
"epoch": 14.4,
|
240 |
"learning_rate": 3.555555555555556e-05,
|
241 |
-
"loss": 0.
|
242 |
"step": 18
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
-
"eval_accuracy": 0
|
247 |
-
"eval_loss": 0.
|
248 |
-
"eval_runtime": 0.
|
249 |
-
"eval_samples_per_second":
|
250 |
-
"eval_steps_per_second":
|
251 |
"step": 18
|
252 |
},
|
253 |
{
|
254 |
-
"epoch":
|
255 |
"learning_rate": 3.444444444444445e-05,
|
256 |
-
"loss": 0.
|
257 |
"step": 19
|
258 |
},
|
259 |
{
|
260 |
-
"epoch":
|
261 |
-
"
|
262 |
-
"
|
263 |
-
"
|
|
|
|
|
|
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"
|
268 |
-
"
|
269 |
-
"eval_runtime": 0.174,
|
270 |
-
"eval_samples_per_second": 155.172,
|
271 |
-
"eval_steps_per_second": 5.747,
|
272 |
"step": 20
|
273 |
},
|
274 |
{
|
275 |
-
"epoch":
|
276 |
"learning_rate": 3.222222222222223e-05,
|
277 |
-
"loss": 0.
|
278 |
"step": 21
|
279 |
},
|
280 |
{
|
281 |
-
"epoch":
|
282 |
-
"eval_accuracy": 0
|
283 |
-
"eval_loss": 0.
|
284 |
-
"eval_runtime": 0.
|
285 |
-
"eval_samples_per_second":
|
286 |
-
"eval_steps_per_second":
|
287 |
"step": 21
|
288 |
},
|
289 |
{
|
290 |
-
"epoch":
|
291 |
"learning_rate": 3.111111111111111e-05,
|
292 |
-
"loss": 0.
|
293 |
"step": 22
|
294 |
},
|
295 |
{
|
296 |
-
"epoch":
|
297 |
-
"eval_accuracy": 0
|
298 |
-
"eval_loss": 0.
|
299 |
-
"eval_runtime": 0.
|
300 |
-
"eval_samples_per_second":
|
301 |
-
"eval_steps_per_second":
|
302 |
"step": 22
|
303 |
},
|
304 |
{
|
305 |
-
"epoch":
|
306 |
"learning_rate": 3e-05,
|
307 |
-
"loss": 0.
|
308 |
"step": 23
|
309 |
},
|
310 |
{
|
311 |
-
"epoch":
|
312 |
-
"
|
313 |
-
"
|
314 |
-
"
|
315 |
-
"eval_samples_per_second": 154.56,
|
316 |
-
"eval_steps_per_second": 5.724,
|
317 |
-
"step": 23
|
318 |
},
|
319 |
{
|
320 |
-
"epoch":
|
321 |
-
"
|
322 |
-
"
|
|
|
|
|
|
|
323 |
"step": 24
|
324 |
},
|
325 |
{
|
326 |
-
"epoch":
|
327 |
"learning_rate": 2.777777777777778e-05,
|
328 |
-
"loss": 0.
|
329 |
"step": 25
|
330 |
},
|
331 |
{
|
332 |
-
"epoch":
|
333 |
"eval_accuracy": 1.0,
|
334 |
-
"eval_loss": 0.
|
335 |
-
"eval_runtime": 0.
|
336 |
-
"eval_samples_per_second":
|
337 |
-
"eval_steps_per_second":
|
338 |
"step": 25
|
339 |
},
|
340 |
{
|
341 |
-
"epoch":
|
342 |
"learning_rate": 2.6666666666666667e-05,
|
343 |
-
"loss": 0.
|
344 |
"step": 26
|
345 |
},
|
346 |
{
|
347 |
-
"epoch":
|
348 |
-
"eval_accuracy": 1.0,
|
349 |
-
"eval_loss": 0.05862481892108917,
|
350 |
-
"eval_runtime": 0.1702,
|
351 |
-
"eval_samples_per_second": 158.644,
|
352 |
-
"eval_steps_per_second": 5.876,
|
353 |
-
"step": 26
|
354 |
-
},
|
355 |
-
{
|
356 |
-
"epoch": 21.6,
|
357 |
"learning_rate": 2.5555555555555554e-05,
|
358 |
-
"loss": 0.
|
359 |
"step": 27
|
360 |
},
|
361 |
{
|
362 |
-
"epoch":
|
363 |
"eval_accuracy": 1.0,
|
364 |
-
"eval_loss": 0.
|
365 |
-
"eval_runtime": 0.
|
366 |
-
"eval_samples_per_second":
|
367 |
-
"eval_steps_per_second":
|
368 |
"step": 27
|
369 |
},
|
370 |
{
|
371 |
-
"epoch":
|
372 |
"learning_rate": 2.4444444444444445e-05,
|
373 |
-
"loss": 0.
|
374 |
"step": 28
|
375 |
},
|
376 |
{
|
377 |
-
"epoch":
|
378 |
-
"eval_accuracy": 0
|
379 |
-
"eval_loss": 0.
|
380 |
-
"eval_runtime": 0.
|
381 |
-
"eval_samples_per_second":
|
382 |
-
"eval_steps_per_second":
|
383 |
"step": 28
|
384 |
},
|
385 |
{
|
386 |
-
"epoch":
|
387 |
"learning_rate": 2.3333333333333336e-05,
|
388 |
-
"loss": 0.
|
389 |
"step": 29
|
390 |
},
|
391 |
{
|
392 |
-
"epoch":
|
393 |
"learning_rate": 2.2222222222222223e-05,
|
394 |
-
"loss": 0.
|
395 |
"step": 30
|
396 |
},
|
397 |
{
|
398 |
-
"epoch":
|
399 |
-
"eval_accuracy": 0
|
400 |
-
"eval_loss": 0.
|
401 |
-
"eval_runtime": 0.
|
402 |
-
"eval_samples_per_second":
|
403 |
-
"eval_steps_per_second":
|
404 |
"step": 30
|
405 |
},
|
406 |
{
|
407 |
-
"epoch":
|
408 |
"learning_rate": 2.111111111111111e-05,
|
409 |
-
"loss": 0.
|
410 |
"step": 31
|
411 |
},
|
412 |
{
|
413 |
-
"epoch":
|
414 |
-
"eval_accuracy": 0
|
415 |
-
"eval_loss": 0.
|
416 |
-
"eval_runtime": 0.
|
417 |
-
"eval_samples_per_second":
|
418 |
-
"eval_steps_per_second":
|
419 |
"step": 31
|
420 |
},
|
421 |
{
|
422 |
-
"epoch":
|
423 |
"learning_rate": 2e-05,
|
424 |
-
"loss": 0.
|
425 |
"step": 32
|
426 |
},
|
427 |
{
|
428 |
-
"epoch":
|
429 |
-
"eval_accuracy": 0.9259259259259259,
|
430 |
-
"eval_loss": 0.13248541951179504,
|
431 |
-
"eval_runtime": 0.1763,
|
432 |
-
"eval_samples_per_second": 153.175,
|
433 |
-
"eval_steps_per_second": 5.673,
|
434 |
-
"step": 32
|
435 |
-
},
|
436 |
-
{
|
437 |
-
"epoch": 26.4,
|
438 |
"learning_rate": 1.888888888888889e-05,
|
439 |
-
"loss": 0.
|
440 |
"step": 33
|
441 |
},
|
442 |
{
|
443 |
-
"epoch":
|
444 |
-
"eval_accuracy": 0
|
445 |
-
"eval_loss": 0.
|
446 |
-
"eval_runtime": 0.
|
447 |
-
"eval_samples_per_second":
|
448 |
-
"eval_steps_per_second":
|
449 |
"step": 33
|
450 |
},
|
451 |
{
|
452 |
-
"epoch":
|
453 |
"learning_rate": 1.777777777777778e-05,
|
454 |
-
"loss": 0.
|
455 |
"step": 34
|
456 |
},
|
457 |
{
|
458 |
-
"epoch":
|
459 |
-
"
|
460 |
-
"
|
461 |
-
"
|
|
|
|
|
|
|
462 |
},
|
463 |
{
|
464 |
-
"epoch":
|
465 |
-
"
|
466 |
-
"
|
467 |
-
"eval_runtime": 0.1697,
|
468 |
-
"eval_samples_per_second": 159.125,
|
469 |
-
"eval_steps_per_second": 5.894,
|
470 |
"step": 35
|
471 |
},
|
472 |
{
|
473 |
-
"epoch":
|
474 |
"learning_rate": 1.5555555555555555e-05,
|
475 |
-
"loss": 0.
|
476 |
"step": 36
|
477 |
},
|
478 |
{
|
479 |
-
"epoch":
|
480 |
"eval_accuracy": 1.0,
|
481 |
-
"eval_loss": 0.
|
482 |
-
"eval_runtime": 0.
|
483 |
-
"eval_samples_per_second":
|
484 |
-
"eval_steps_per_second":
|
485 |
"step": 36
|
486 |
},
|
487 |
{
|
488 |
-
"epoch":
|
489 |
"learning_rate": 1.4444444444444444e-05,
|
490 |
-
"loss": 0.
|
491 |
"step": 37
|
492 |
},
|
493 |
{
|
494 |
-
"epoch":
|
495 |
"eval_accuracy": 1.0,
|
496 |
-
"eval_loss": 0.
|
497 |
-
"eval_runtime": 0.
|
498 |
-
"eval_samples_per_second":
|
499 |
-
"eval_steps_per_second":
|
500 |
"step": 37
|
501 |
},
|
502 |
{
|
503 |
-
"epoch":
|
504 |
"learning_rate": 1.3333333333333333e-05,
|
505 |
-
"loss": 0.
|
506 |
"step": 38
|
507 |
},
|
508 |
{
|
509 |
-
"epoch":
|
510 |
-
"
|
511 |
-
"
|
512 |
-
"
|
513 |
-
"eval_samples_per_second": 157.765,
|
514 |
-
"eval_steps_per_second": 5.843,
|
515 |
-
"step": 38
|
516 |
},
|
517 |
{
|
518 |
-
"epoch":
|
519 |
-
"
|
520 |
-
"
|
|
|
|
|
|
|
521 |
"step": 39
|
522 |
},
|
523 |
{
|
524 |
-
"epoch":
|
525 |
"learning_rate": 1.1111111111111112e-05,
|
526 |
-
"loss": 0.
|
527 |
"step": 40
|
528 |
},
|
529 |
{
|
530 |
-
"epoch":
|
531 |
"eval_accuracy": 1.0,
|
532 |
-
"eval_loss": 0.
|
533 |
-
"eval_runtime": 0.
|
534 |
-
"eval_samples_per_second":
|
535 |
-
"eval_steps_per_second":
|
536 |
"step": 40
|
537 |
},
|
538 |
{
|
539 |
-
"epoch":
|
540 |
"learning_rate": 1e-05,
|
541 |
-
"loss": 0.
|
542 |
-
"step": 41
|
543 |
-
},
|
544 |
-
{
|
545 |
-
"epoch": 32.8,
|
546 |
-
"eval_accuracy": 1.0,
|
547 |
-
"eval_loss": 0.030854476615786552,
|
548 |
-
"eval_runtime": 0.1698,
|
549 |
-
"eval_samples_per_second": 158.993,
|
550 |
-
"eval_steps_per_second": 5.889,
|
551 |
"step": 41
|
552 |
},
|
553 |
{
|
554 |
-
"epoch":
|
555 |
"learning_rate": 8.88888888888889e-06,
|
556 |
-
"loss": 0.
|
557 |
"step": 42
|
558 |
},
|
559 |
{
|
560 |
-
"epoch":
|
561 |
"eval_accuracy": 1.0,
|
562 |
-
"eval_loss": 0.
|
563 |
-
"eval_runtime": 0.
|
564 |
-
"eval_samples_per_second":
|
565 |
-
"eval_steps_per_second":
|
566 |
"step": 42
|
567 |
},
|
568 |
{
|
569 |
-
"epoch":
|
570 |
"learning_rate": 7.777777777777777e-06,
|
571 |
-
"loss": 0.
|
572 |
"step": 43
|
573 |
},
|
574 |
{
|
575 |
-
"epoch":
|
576 |
"eval_accuracy": 1.0,
|
577 |
-
"eval_loss": 0.
|
578 |
-
"eval_runtime": 0.
|
579 |
-
"eval_samples_per_second":
|
580 |
-
"eval_steps_per_second":
|
581 |
"step": 43
|
582 |
},
|
583 |
{
|
584 |
-
"epoch":
|
585 |
"learning_rate": 6.666666666666667e-06,
|
586 |
-
"loss": 0.
|
587 |
"step": 44
|
588 |
},
|
589 |
{
|
590 |
-
"epoch":
|
591 |
"learning_rate": 5.555555555555556e-06,
|
592 |
-
"loss": 0.
|
593 |
"step": 45
|
594 |
},
|
595 |
{
|
596 |
-
"epoch":
|
597 |
"eval_accuracy": 1.0,
|
598 |
-
"eval_loss": 0.
|
599 |
-
"eval_runtime": 0.
|
600 |
-
"eval_samples_per_second":
|
601 |
-
"eval_steps_per_second":
|
602 |
"step": 45
|
603 |
},
|
604 |
{
|
605 |
-
"epoch":
|
606 |
"learning_rate": 4.444444444444445e-06,
|
607 |
-
"loss": 0.
|
608 |
"step": 46
|
609 |
},
|
610 |
{
|
611 |
-
"epoch":
|
612 |
"eval_accuracy": 1.0,
|
613 |
-
"eval_loss": 0.
|
614 |
-
"eval_runtime": 0.
|
615 |
-
"eval_samples_per_second":
|
616 |
-
"eval_steps_per_second":
|
617 |
"step": 46
|
618 |
},
|
619 |
{
|
620 |
-
"epoch":
|
621 |
"learning_rate": 3.3333333333333333e-06,
|
622 |
-
"loss": 0.
|
623 |
-
"step": 47
|
624 |
-
},
|
625 |
-
{
|
626 |
-
"epoch": 37.6,
|
627 |
-
"eval_accuracy": 1.0,
|
628 |
-
"eval_loss": 0.02463681250810623,
|
629 |
-
"eval_runtime": 0.1666,
|
630 |
-
"eval_samples_per_second": 162.113,
|
631 |
-
"eval_steps_per_second": 6.004,
|
632 |
"step": 47
|
633 |
},
|
634 |
{
|
635 |
-
"epoch":
|
636 |
"learning_rate": 2.2222222222222225e-06,
|
637 |
-
"loss": 0.
|
638 |
"step": 48
|
639 |
},
|
640 |
{
|
641 |
-
"epoch":
|
642 |
"eval_accuracy": 1.0,
|
643 |
-
"eval_loss": 0.
|
644 |
-
"eval_runtime": 0.
|
645 |
-
"eval_samples_per_second":
|
646 |
-
"eval_steps_per_second":
|
647 |
"step": 48
|
648 |
},
|
649 |
{
|
650 |
-
"epoch":
|
651 |
"learning_rate": 1.1111111111111112e-06,
|
652 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
653 |
"step": 49
|
654 |
},
|
655 |
{
|
656 |
-
"epoch":
|
657 |
"learning_rate": 0.0,
|
658 |
-
"loss": 0.
|
659 |
"step": 50
|
660 |
},
|
661 |
{
|
662 |
-
"epoch":
|
663 |
"eval_accuracy": 1.0,
|
664 |
-
"eval_loss": 0.
|
665 |
-
"eval_runtime": 0.
|
666 |
-
"eval_samples_per_second":
|
667 |
-
"eval_steps_per_second":
|
668 |
"step": 50
|
669 |
},
|
670 |
{
|
671 |
-
"epoch":
|
672 |
"step": 50,
|
673 |
-
"total_flos":
|
674 |
-
"train_loss": 0.
|
675 |
-
"train_runtime":
|
676 |
-
"train_samples_per_second":
|
677 |
-
"train_steps_per_second": 0.
|
678 |
}
|
679 |
],
|
680 |
"max_steps": 50,
|
681 |
"num_train_epochs": 50,
|
682 |
-
"total_flos":
|
683 |
"trial_name": null,
|
684 |
"trial_params": null
|
685 |
}
|
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-Trial008-YEL_STEM2/checkpoint-10",
|
4 |
+
"epoch": 33.333333333333336,
|
5 |
"global_step": 50,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.67,
|
12 |
"learning_rate": 1e-05,
|
13 |
+
"loss": 0.7598,
|
14 |
"step": 1
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.67,
|
18 |
+
"eval_accuracy": 0.6470588235294118,
|
19 |
+
"eval_loss": 0.6967736482620239,
|
20 |
+
"eval_runtime": 0.1155,
|
21 |
+
"eval_samples_per_second": 147.167,
|
22 |
+
"eval_steps_per_second": 8.657,
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 1.33,
|
27 |
"learning_rate": 2e-05,
|
28 |
+
"loss": 0.7926,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"epoch": 2.0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
"learning_rate": 3e-05,
|
34 |
+
"loss": 0.7294,
|
35 |
"step": 3
|
36 |
},
|
37 |
{
|
38 |
+
"epoch": 2.0,
|
39 |
+
"eval_accuracy": 0.47058823529411764,
|
40 |
+
"eval_loss": 0.766238808631897,
|
41 |
+
"eval_runtime": 0.1178,
|
42 |
+
"eval_samples_per_second": 144.35,
|
43 |
+
"eval_steps_per_second": 8.491,
|
44 |
"step": 3
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 2.67,
|
48 |
"learning_rate": 4e-05,
|
49 |
+
"loss": 0.6662,
|
50 |
"step": 4
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 2.67,
|
54 |
+
"eval_accuracy": 0.5882352941176471,
|
55 |
+
"eval_loss": 0.7196066379547119,
|
56 |
+
"eval_runtime": 0.1128,
|
57 |
+
"eval_samples_per_second": 150.728,
|
58 |
+
"eval_steps_per_second": 8.866,
|
59 |
+
"step": 4
|
60 |
},
|
61 |
{
|
62 |
+
"epoch": 3.33,
|
63 |
+
"learning_rate": 5e-05,
|
64 |
+
"loss": 0.6872,
|
|
|
|
|
|
|
65 |
"step": 5
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 4.0,
|
69 |
"learning_rate": 4.888888888888889e-05,
|
70 |
+
"loss": 0.5662,
|
71 |
"step": 6
|
72 |
},
|
73 |
{
|
74 |
+
"epoch": 4.0,
|
75 |
+
"eval_accuracy": 0.8235294117647058,
|
76 |
+
"eval_loss": 0.3941333293914795,
|
77 |
+
"eval_runtime": 0.1124,
|
78 |
+
"eval_samples_per_second": 151.225,
|
79 |
+
"eval_steps_per_second": 8.896,
|
80 |
"step": 6
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 4.67,
|
84 |
"learning_rate": 4.7777777777777784e-05,
|
85 |
+
"loss": 0.4781,
|
86 |
"step": 7
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 4.67,
|
90 |
+
"eval_accuracy": 0.8235294117647058,
|
91 |
+
"eval_loss": 0.3458152413368225,
|
92 |
+
"eval_runtime": 0.1128,
|
93 |
+
"eval_samples_per_second": 150.724,
|
94 |
+
"eval_steps_per_second": 8.866,
|
95 |
"step": 7
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 5.33,
|
99 |
"learning_rate": 4.666666666666667e-05,
|
100 |
+
"loss": 0.3621,
|
101 |
"step": 8
|
102 |
},
|
103 |
{
|
104 |
+
"epoch": 6.0,
|
105 |
+
"learning_rate": 4.555555555555556e-05,
|
106 |
+
"loss": 0.3259,
|
107 |
+
"step": 9
|
|
|
|
|
|
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 6.0,
|
111 |
+
"eval_accuracy": 0.9411764705882353,
|
112 |
+
"eval_loss": 0.16989070177078247,
|
113 |
+
"eval_runtime": 0.1116,
|
114 |
+
"eval_samples_per_second": 152.266,
|
115 |
+
"eval_steps_per_second": 8.957,
|
116 |
"step": 9
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 6.67,
|
120 |
"learning_rate": 4.4444444444444447e-05,
|
121 |
+
"loss": 0.2903,
|
122 |
"step": 10
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 6.67,
|
126 |
+
"eval_accuracy": 1.0,
|
127 |
+
"eval_loss": 0.10236643999814987,
|
128 |
+
"eval_runtime": 0.112,
|
129 |
+
"eval_samples_per_second": 151.781,
|
130 |
+
"eval_steps_per_second": 8.928,
|
131 |
"step": 10
|
132 |
},
|
133 |
{
|
134 |
+
"epoch": 7.33,
|
135 |
"learning_rate": 4.3333333333333334e-05,
|
136 |
+
"loss": 0.2539,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
137 |
"step": 11
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 8.0,
|
141 |
"learning_rate": 4.222222222222222e-05,
|
142 |
+
"loss": 0.2206,
|
143 |
"step": 12
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 8.0,
|
147 |
+
"eval_accuracy": 1.0,
|
148 |
+
"eval_loss": 0.07876813411712646,
|
149 |
+
"eval_runtime": 0.1154,
|
150 |
+
"eval_samples_per_second": 147.279,
|
151 |
+
"eval_steps_per_second": 8.663,
|
152 |
"step": 12
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 8.67,
|
156 |
"learning_rate": 4.111111111111111e-05,
|
157 |
+
"loss": 0.3215,
|
158 |
"step": 13
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 8.67,
|
162 |
+
"eval_accuracy": 1.0,
|
163 |
+
"eval_loss": 0.04137047752737999,
|
164 |
+
"eval_runtime": 0.1141,
|
165 |
+
"eval_samples_per_second": 148.944,
|
166 |
+
"eval_steps_per_second": 8.761,
|
167 |
"step": 13
|
168 |
},
|
169 |
{
|
170 |
+
"epoch": 9.33,
|
171 |
"learning_rate": 4e-05,
|
172 |
+
"loss": 0.1603,
|
173 |
"step": 14
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 10.0,
|
177 |
"learning_rate": 3.888888888888889e-05,
|
178 |
+
"loss": 0.1741,
|
179 |
"step": 15
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 10.0,
|
183 |
+
"eval_accuracy": 1.0,
|
184 |
+
"eval_loss": 0.021776309236884117,
|
185 |
+
"eval_runtime": 0.1108,
|
186 |
+
"eval_samples_per_second": 153.382,
|
187 |
+
"eval_steps_per_second": 9.022,
|
188 |
"step": 15
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 10.67,
|
192 |
"learning_rate": 3.777777777777778e-05,
|
193 |
+
"loss": 0.2222,
|
194 |
"step": 16
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 10.67,
|
198 |
+
"eval_accuracy": 1.0,
|
199 |
+
"eval_loss": 0.020698698237538338,
|
200 |
+
"eval_runtime": 0.1126,
|
201 |
+
"eval_samples_per_second": 151.006,
|
202 |
+
"eval_steps_per_second": 8.883,
|
203 |
"step": 16
|
204 |
},
|
205 |
{
|
206 |
+
"epoch": 11.33,
|
207 |
"learning_rate": 3.6666666666666666e-05,
|
208 |
+
"loss": 0.228,
|
209 |
"step": 17
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 12.0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
213 |
"learning_rate": 3.555555555555556e-05,
|
214 |
+
"loss": 0.1534,
|
215 |
"step": 18
|
216 |
},
|
217 |
{
|
218 |
+
"epoch": 12.0,
|
219 |
+
"eval_accuracy": 1.0,
|
220 |
+
"eval_loss": 0.012763559818267822,
|
221 |
+
"eval_runtime": 0.1133,
|
222 |
+
"eval_samples_per_second": 150.062,
|
223 |
+
"eval_steps_per_second": 8.827,
|
224 |
"step": 18
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 12.67,
|
228 |
"learning_rate": 3.444444444444445e-05,
|
229 |
+
"loss": 0.273,
|
230 |
"step": 19
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 12.67,
|
234 |
+
"eval_accuracy": 1.0,
|
235 |
+
"eval_loss": 0.010324841365218163,
|
236 |
+
"eval_runtime": 0.1154,
|
237 |
+
"eval_samples_per_second": 147.298,
|
238 |
+
"eval_steps_per_second": 8.665,
|
239 |
+
"step": 19
|
240 |
},
|
241 |
{
|
242 |
+
"epoch": 13.33,
|
243 |
+
"learning_rate": 3.3333333333333335e-05,
|
244 |
+
"loss": 0.3743,
|
|
|
|
|
|
|
245 |
"step": 20
|
246 |
},
|
247 |
{
|
248 |
+
"epoch": 14.0,
|
249 |
"learning_rate": 3.222222222222223e-05,
|
250 |
+
"loss": 0.2021,
|
251 |
"step": 21
|
252 |
},
|
253 |
{
|
254 |
+
"epoch": 14.0,
|
255 |
+
"eval_accuracy": 1.0,
|
256 |
+
"eval_loss": 0.007954830303788185,
|
257 |
+
"eval_runtime": 0.1144,
|
258 |
+
"eval_samples_per_second": 148.646,
|
259 |
+
"eval_steps_per_second": 8.744,
|
260 |
"step": 21
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 14.67,
|
264 |
"learning_rate": 3.111111111111111e-05,
|
265 |
+
"loss": 0.2193,
|
266 |
"step": 22
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 14.67,
|
270 |
+
"eval_accuracy": 1.0,
|
271 |
+
"eval_loss": 0.009969166480004787,
|
272 |
+
"eval_runtime": 0.113,
|
273 |
+
"eval_samples_per_second": 150.48,
|
274 |
+
"eval_steps_per_second": 8.852,
|
275 |
"step": 22
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 15.33,
|
279 |
"learning_rate": 3e-05,
|
280 |
+
"loss": 0.1586,
|
281 |
"step": 23
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 16.0,
|
285 |
+
"learning_rate": 2.8888888888888888e-05,
|
286 |
+
"loss": 0.2132,
|
287 |
+
"step": 24
|
|
|
|
|
|
|
288 |
},
|
289 |
{
|
290 |
+
"epoch": 16.0,
|
291 |
+
"eval_accuracy": 1.0,
|
292 |
+
"eval_loss": 0.02467266283929348,
|
293 |
+
"eval_runtime": 0.114,
|
294 |
+
"eval_samples_per_second": 149.139,
|
295 |
+
"eval_steps_per_second": 8.773,
|
296 |
"step": 24
|
297 |
},
|
298 |
{
|
299 |
+
"epoch": 16.67,
|
300 |
"learning_rate": 2.777777777777778e-05,
|
301 |
+
"loss": 0.2163,
|
302 |
"step": 25
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 16.67,
|
306 |
"eval_accuracy": 1.0,
|
307 |
+
"eval_loss": 0.02664419636130333,
|
308 |
+
"eval_runtime": 0.1146,
|
309 |
+
"eval_samples_per_second": 148.38,
|
310 |
+
"eval_steps_per_second": 8.728,
|
311 |
"step": 25
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 17.33,
|
315 |
"learning_rate": 2.6666666666666667e-05,
|
316 |
+
"loss": 0.2017,
|
317 |
"step": 26
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 18.0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
321 |
"learning_rate": 2.5555555555555554e-05,
|
322 |
+
"loss": 0.1626,
|
323 |
"step": 27
|
324 |
},
|
325 |
{
|
326 |
+
"epoch": 18.0,
|
327 |
"eval_accuracy": 1.0,
|
328 |
+
"eval_loss": 0.01014714501798153,
|
329 |
+
"eval_runtime": 0.1128,
|
330 |
+
"eval_samples_per_second": 150.755,
|
331 |
+
"eval_steps_per_second": 8.868,
|
332 |
"step": 27
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 18.67,
|
336 |
"learning_rate": 2.4444444444444445e-05,
|
337 |
+
"loss": 0.2492,
|
338 |
"step": 28
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 18.67,
|
342 |
+
"eval_accuracy": 1.0,
|
343 |
+
"eval_loss": 0.005902642849832773,
|
344 |
+
"eval_runtime": 0.1149,
|
345 |
+
"eval_samples_per_second": 147.968,
|
346 |
+
"eval_steps_per_second": 8.704,
|
347 |
"step": 28
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 19.33,
|
351 |
"learning_rate": 2.3333333333333336e-05,
|
352 |
+
"loss": 0.1315,
|
353 |
"step": 29
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 20.0,
|
357 |
"learning_rate": 2.2222222222222223e-05,
|
358 |
+
"loss": 0.1308,
|
359 |
"step": 30
|
360 |
},
|
361 |
{
|
362 |
+
"epoch": 20.0,
|
363 |
+
"eval_accuracy": 1.0,
|
364 |
+
"eval_loss": 0.005620644427835941,
|
365 |
+
"eval_runtime": 0.1147,
|
366 |
+
"eval_samples_per_second": 148.149,
|
367 |
+
"eval_steps_per_second": 8.715,
|
368 |
"step": 30
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 20.67,
|
372 |
"learning_rate": 2.111111111111111e-05,
|
373 |
+
"loss": 0.2144,
|
374 |
"step": 31
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 20.67,
|
378 |
+
"eval_accuracy": 1.0,
|
379 |
+
"eval_loss": 0.006035304628312588,
|
380 |
+
"eval_runtime": 0.1154,
|
381 |
+
"eval_samples_per_second": 147.274,
|
382 |
+
"eval_steps_per_second": 8.663,
|
383 |
"step": 31
|
384 |
},
|
385 |
{
|
386 |
+
"epoch": 21.33,
|
387 |
"learning_rate": 2e-05,
|
388 |
+
"loss": 0.1608,
|
389 |
"step": 32
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 22.0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
393 |
"learning_rate": 1.888888888888889e-05,
|
394 |
+
"loss": 0.1389,
|
395 |
"step": 33
|
396 |
},
|
397 |
{
|
398 |
+
"epoch": 22.0,
|
399 |
+
"eval_accuracy": 1.0,
|
400 |
+
"eval_loss": 0.004421359859406948,
|
401 |
+
"eval_runtime": 0.1131,
|
402 |
+
"eval_samples_per_second": 150.363,
|
403 |
+
"eval_steps_per_second": 8.845,
|
404 |
"step": 33
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 22.67,
|
408 |
"learning_rate": 1.777777777777778e-05,
|
409 |
+
"loss": 0.2548,
|
410 |
"step": 34
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 22.67,
|
414 |
+
"eval_accuracy": 1.0,
|
415 |
+
"eval_loss": 0.004027603659778833,
|
416 |
+
"eval_runtime": 0.113,
|
417 |
+
"eval_samples_per_second": 150.382,
|
418 |
+
"eval_steps_per_second": 8.846,
|
419 |
+
"step": 34
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 23.33,
|
423 |
+
"learning_rate": 1.6666666666666667e-05,
|
424 |
+
"loss": 0.1916,
|
|
|
|
|
|
|
425 |
"step": 35
|
426 |
},
|
427 |
{
|
428 |
+
"epoch": 24.0,
|
429 |
"learning_rate": 1.5555555555555555e-05,
|
430 |
+
"loss": 0.1324,
|
431 |
"step": 36
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 24.0,
|
435 |
"eval_accuracy": 1.0,
|
436 |
+
"eval_loss": 0.0037342249415814877,
|
437 |
+
"eval_runtime": 0.1133,
|
438 |
+
"eval_samples_per_second": 150.098,
|
439 |
+
"eval_steps_per_second": 8.829,
|
440 |
"step": 36
|
441 |
},
|
442 |
{
|
443 |
+
"epoch": 24.67,
|
444 |
"learning_rate": 1.4444444444444444e-05,
|
445 |
+
"loss": 0.1958,
|
446 |
"step": 37
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 24.67,
|
450 |
"eval_accuracy": 1.0,
|
451 |
+
"eval_loss": 0.0036163795739412308,
|
452 |
+
"eval_runtime": 0.1138,
|
453 |
+
"eval_samples_per_second": 149.366,
|
454 |
+
"eval_steps_per_second": 8.786,
|
455 |
"step": 37
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 25.33,
|
459 |
"learning_rate": 1.3333333333333333e-05,
|
460 |
+
"loss": 0.1812,
|
461 |
"step": 38
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 26.0,
|
465 |
+
"learning_rate": 1.2222222222222222e-05,
|
466 |
+
"loss": 0.2476,
|
467 |
+
"step": 39
|
|
|
|
|
|
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 26.0,
|
471 |
+
"eval_accuracy": 1.0,
|
472 |
+
"eval_loss": 0.0034641919191926718,
|
473 |
+
"eval_runtime": 0.1123,
|
474 |
+
"eval_samples_per_second": 151.377,
|
475 |
+
"eval_steps_per_second": 8.905,
|
476 |
"step": 39
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 26.67,
|
480 |
"learning_rate": 1.1111111111111112e-05,
|
481 |
+
"loss": 0.1439,
|
482 |
"step": 40
|
483 |
},
|
484 |
{
|
485 |
+
"epoch": 26.67,
|
486 |
"eval_accuracy": 1.0,
|
487 |
+
"eval_loss": 0.0033218893222510815,
|
488 |
+
"eval_runtime": 0.116,
|
489 |
+
"eval_samples_per_second": 146.604,
|
490 |
+
"eval_steps_per_second": 8.624,
|
491 |
"step": 40
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 27.33,
|
495 |
"learning_rate": 1e-05,
|
496 |
+
"loss": 0.1375,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
497 |
"step": 41
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 28.0,
|
501 |
"learning_rate": 8.88888888888889e-06,
|
502 |
+
"loss": 0.1202,
|
503 |
"step": 42
|
504 |
},
|
505 |
{
|
506 |
+
"epoch": 28.0,
|
507 |
"eval_accuracy": 1.0,
|
508 |
+
"eval_loss": 0.002967243082821369,
|
509 |
+
"eval_runtime": 0.1135,
|
510 |
+
"eval_samples_per_second": 149.812,
|
511 |
+
"eval_steps_per_second": 8.812,
|
512 |
"step": 42
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 28.67,
|
516 |
"learning_rate": 7.777777777777777e-06,
|
517 |
+
"loss": 0.1368,
|
518 |
"step": 43
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 28.67,
|
522 |
"eval_accuracy": 1.0,
|
523 |
+
"eval_loss": 0.002836533123627305,
|
524 |
+
"eval_runtime": 0.1133,
|
525 |
+
"eval_samples_per_second": 150.077,
|
526 |
+
"eval_steps_per_second": 8.828,
|
527 |
"step": 43
|
528 |
},
|
529 |
{
|
530 |
+
"epoch": 29.33,
|
531 |
"learning_rate": 6.666666666666667e-06,
|
532 |
+
"loss": 0.403,
|
533 |
"step": 44
|
534 |
},
|
535 |
{
|
536 |
+
"epoch": 30.0,
|
537 |
"learning_rate": 5.555555555555556e-06,
|
538 |
+
"loss": 0.1016,
|
539 |
"step": 45
|
540 |
},
|
541 |
{
|
542 |
+
"epoch": 30.0,
|
543 |
"eval_accuracy": 1.0,
|
544 |
+
"eval_loss": 0.0027249290142208338,
|
545 |
+
"eval_runtime": 0.1143,
|
546 |
+
"eval_samples_per_second": 148.728,
|
547 |
+
"eval_steps_per_second": 8.749,
|
548 |
"step": 45
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 30.67,
|
552 |
"learning_rate": 4.444444444444445e-06,
|
553 |
+
"loss": 0.1282,
|
554 |
"step": 46
|
555 |
},
|
556 |
{
|
557 |
+
"epoch": 30.67,
|
558 |
"eval_accuracy": 1.0,
|
559 |
+
"eval_loss": 0.0026905094273388386,
|
560 |
+
"eval_runtime": 0.1127,
|
561 |
+
"eval_samples_per_second": 150.9,
|
562 |
+
"eval_steps_per_second": 8.876,
|
563 |
"step": 46
|
564 |
},
|
565 |
{
|
566 |
+
"epoch": 31.33,
|
567 |
"learning_rate": 3.3333333333333333e-06,
|
568 |
+
"loss": 0.0778,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
569 |
"step": 47
|
570 |
},
|
571 |
{
|
572 |
+
"epoch": 32.0,
|
573 |
"learning_rate": 2.2222222222222225e-06,
|
574 |
+
"loss": 0.1128,
|
575 |
"step": 48
|
576 |
},
|
577 |
{
|
578 |
+
"epoch": 32.0,
|
579 |
"eval_accuracy": 1.0,
|
580 |
+
"eval_loss": 0.0026230851653963327,
|
581 |
+
"eval_runtime": 0.1139,
|
582 |
+
"eval_samples_per_second": 149.284,
|
583 |
+
"eval_steps_per_second": 8.781,
|
584 |
"step": 48
|
585 |
},
|
586 |
{
|
587 |
+
"epoch": 32.67,
|
588 |
"learning_rate": 1.1111111111111112e-06,
|
589 |
+
"loss": 0.2366,
|
590 |
+
"step": 49
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 32.67,
|
594 |
+
"eval_accuracy": 1.0,
|
595 |
+
"eval_loss": 0.0026192485820502043,
|
596 |
+
"eval_runtime": 0.1122,
|
597 |
+
"eval_samples_per_second": 151.562,
|
598 |
+
"eval_steps_per_second": 8.915,
|
599 |
"step": 49
|
600 |
},
|
601 |
{
|
602 |
+
"epoch": 33.33,
|
603 |
"learning_rate": 0.0,
|
604 |
+
"loss": 0.1727,
|
605 |
"step": 50
|
606 |
},
|
607 |
{
|
608 |
+
"epoch": 33.33,
|
609 |
"eval_accuracy": 1.0,
|
610 |
+
"eval_loss": 0.002621703315526247,
|
611 |
+
"eval_runtime": 0.1147,
|
612 |
+
"eval_samples_per_second": 148.149,
|
613 |
+
"eval_steps_per_second": 8.715,
|
614 |
"step": 50
|
615 |
},
|
616 |
{
|
617 |
+
"epoch": 33.33,
|
618 |
"step": 50,
|
619 |
+
"total_flos": 3.9079210362638746e+17,
|
620 |
+
"train_loss": 0.26825646698474886,
|
621 |
+
"train_runtime": 260.0145,
|
622 |
+
"train_samples_per_second": 29.037,
|
623 |
+
"train_steps_per_second": 0.192
|
624 |
}
|
625 |
],
|
626 |
"max_steps": 50,
|
627 |
"num_train_epochs": 50,
|
628 |
+
"total_flos": 3.9079210362638746e+17,
|
629 |
"trial_name": null,
|
630 |
"trial_params": null
|
631 |
}
|