End of training
Browse files- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Apr13_14-54-16_67071951de9d/events.out.tfevents.1713021034.67071951de9d.6427.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +612 -360
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"total_flos": 2.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 1.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.9844,
|
4 |
+
"eval_loss": 0.04590694606304169,
|
5 |
+
"eval_runtime": 32.7189,
|
6 |
+
"eval_samples_per_second": 305.634,
|
7 |
+
"eval_steps_per_second": 9.566,
|
8 |
+
"total_flos": 2.930358373492064e+18,
|
9 |
+
"train_loss": 0.33610059461023056,
|
10 |
+
"train_runtime": 935.657,
|
11 |
+
"train_samples_per_second": 160.315,
|
12 |
+
"train_steps_per_second": 1.25
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.9844,
|
4 |
+
"eval_loss": 0.04590694606304169,
|
5 |
+
"eval_runtime": 32.7189,
|
6 |
+
"eval_samples_per_second": 305.634,
|
7 |
+
"eval_steps_per_second": 9.566
|
8 |
}
|
runs/Apr13_14-54-16_67071951de9d/events.out.tfevents.1713021034.67071951de9d.6427.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b142f82300c3b85bcbfdc744203b64d047b3b7d888be2ef12e6a2ec6e995de5
|
3 |
+
size 411
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
-
"total_flos": 2.
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.99,
|
3 |
+
"total_flos": 2.930358373492064e+18,
|
4 |
+
"train_loss": 0.33610059461023056,
|
5 |
+
"train_runtime": 935.657,
|
6 |
+
"train_samples_per_second": 160.315,
|
7 |
+
"train_steps_per_second": 1.25
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,623 +1,875 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "vit-small-patch16-224-finetuned-cifar10/checkpoint-
|
4 |
-
"epoch": 2.
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
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.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 2.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm": 7.
|
21 |
-
"learning_rate":
|
22 |
-
"loss": 2.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm": 7.
|
28 |
-
"learning_rate": 1.
|
29 |
-
"loss": 1.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm": 6.
|
35 |
-
"learning_rate":
|
36 |
-
"loss": 1.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm": 6.
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm": 5.
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 0.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 0.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
-
"epoch": 0.
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm": 6.
|
77 |
-
"learning_rate": 4.
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"grad_norm": 5.
|
84 |
-
"learning_rate": 4.
|
85 |
-
"loss": 0.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
-
"epoch": 0.
|
90 |
-
"grad_norm": 5.
|
91 |
-
"learning_rate": 4.
|
92 |
-
"loss": 0.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"grad_norm":
|
98 |
-
"learning_rate": 4.
|
99 |
-
"loss": 0.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
-
"epoch": 0.
|
104 |
-
"grad_norm":
|
105 |
-
"learning_rate": 4.
|
106 |
-
"loss": 0.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0.
|
111 |
-
"grad_norm": 5.
|
112 |
-
"learning_rate": 4.
|
113 |
-
"loss": 0.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate": 4.
|
120 |
-
"loss": 0.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate": 4.
|
127 |
-
"loss": 0.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0.
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate": 4.
|
134 |
-
"loss": 0.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate": 4.
|
141 |
-
"loss": 0.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
-
"epoch": 0.
|
146 |
-
"grad_norm": 5.
|
147 |
-
"learning_rate": 4.
|
148 |
-
"loss": 0.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate": 4.
|
155 |
-
"loss": 0.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
-
"epoch": 0.
|
160 |
-
"grad_norm":
|
161 |
-
"learning_rate": 4.
|
162 |
-
"loss": 0.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
-
"epoch": 0.
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 0.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
-
"epoch": 0.
|
174 |
-
"grad_norm":
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 0.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate":
|
183 |
-
"loss": 0.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
-
"epoch": 0.
|
188 |
-
"grad_norm":
|
189 |
-
"learning_rate":
|
190 |
-
"loss": 0.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
-
"epoch": 0.
|
195 |
-
"grad_norm":
|
196 |
-
"learning_rate":
|
197 |
-
"loss": 0.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
-
"epoch":
|
202 |
-
"
|
203 |
-
"
|
204 |
-
"
|
205 |
-
"eval_samples_per_second": 336.613,
|
206 |
-
"eval_steps_per_second": 10.525,
|
207 |
-
"step": 273
|
208 |
-
},
|
209 |
-
{
|
210 |
-
"epoch": 1.02,
|
211 |
-
"grad_norm": 5.443094253540039,
|
212 |
-
"learning_rate": 3.656716417910448e-05,
|
213 |
-
"loss": 0.292,
|
214 |
"step": 280
|
215 |
},
|
216 |
{
|
217 |
-
"epoch":
|
218 |
-
"grad_norm":
|
219 |
-
"learning_rate":
|
220 |
-
"loss": 0.
|
221 |
"step": 290
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
-
"grad_norm": 5.
|
226 |
-
"learning_rate":
|
227 |
-
"loss": 0.
|
228 |
"step": 300
|
229 |
},
|
230 |
{
|
231 |
-
"epoch":
|
232 |
-
"grad_norm": 4.
|
233 |
-
"learning_rate":
|
234 |
-
"loss": 0.
|
235 |
"step": 310
|
236 |
},
|
237 |
{
|
238 |
-
"epoch":
|
239 |
-
"grad_norm": 5.
|
240 |
-
"learning_rate":
|
241 |
-
"loss": 0.
|
242 |
"step": 320
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
-
"grad_norm":
|
247 |
-
"learning_rate": 3.
|
248 |
-
"loss": 0.
|
249 |
"step": 330
|
250 |
},
|
251 |
{
|
252 |
-
"epoch":
|
253 |
-
"grad_norm": 4.
|
254 |
-
"learning_rate": 3.
|
255 |
-
"loss": 0.
|
256 |
"step": 340
|
257 |
},
|
258 |
{
|
259 |
-
"epoch":
|
260 |
-
"grad_norm":
|
261 |
-
"learning_rate": 3.
|
262 |
-
"loss": 0.
|
263 |
"step": 350
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"grad_norm":
|
268 |
-
"learning_rate": 3.
|
269 |
-
"loss": 0.
|
270 |
"step": 360
|
271 |
},
|
272 |
{
|
273 |
-
"epoch":
|
274 |
-
"grad_norm": 5.
|
275 |
-
"learning_rate": 3.
|
276 |
-
"loss": 0.
|
277 |
"step": 370
|
278 |
},
|
279 |
{
|
280 |
-
"epoch":
|
281 |
-
"grad_norm": 4.
|
282 |
-
"learning_rate":
|
283 |
-
"loss": 0.
|
284 |
"step": 380
|
285 |
},
|
286 |
{
|
287 |
-
"epoch": 1.
|
288 |
-
"grad_norm":
|
289 |
-
"learning_rate":
|
290 |
-
"loss": 0.
|
291 |
"step": 390
|
292 |
},
|
293 |
{
|
294 |
-
"epoch": 1.
|
295 |
-
"
|
296 |
-
"
|
297 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
298 |
"step": 400
|
299 |
},
|
300 |
{
|
301 |
-
"epoch": 1.
|
302 |
-
"grad_norm": 3.
|
303 |
-
"learning_rate":
|
304 |
-
"loss": 0.
|
305 |
"step": 410
|
306 |
},
|
307 |
{
|
308 |
-
"epoch": 1.
|
309 |
-
"grad_norm":
|
310 |
-
"learning_rate":
|
311 |
-
"loss": 0.
|
312 |
"step": 420
|
313 |
},
|
314 |
{
|
315 |
-
"epoch": 1.
|
316 |
-
"grad_norm":
|
317 |
-
"learning_rate":
|
318 |
-
"loss": 0.
|
319 |
"step": 430
|
320 |
},
|
321 |
{
|
322 |
-
"epoch": 1.
|
323 |
-
"grad_norm":
|
324 |
-
"learning_rate":
|
325 |
-
"loss": 0.
|
326 |
"step": 440
|
327 |
},
|
328 |
{
|
329 |
-
"epoch": 1.
|
330 |
-
"grad_norm": 5.
|
331 |
-
"learning_rate":
|
332 |
-
"loss": 0.
|
333 |
"step": 450
|
334 |
},
|
335 |
{
|
336 |
-
"epoch": 1.
|
337 |
-
"grad_norm":
|
338 |
-
"learning_rate":
|
339 |
-
"loss": 0.
|
340 |
"step": 460
|
341 |
},
|
342 |
{
|
343 |
-
"epoch": 1.
|
344 |
-
"grad_norm":
|
345 |
-
"learning_rate":
|
346 |
-
"loss": 0.
|
347 |
"step": 470
|
348 |
},
|
349 |
{
|
350 |
-
"epoch": 1.
|
351 |
-
"grad_norm":
|
352 |
-
"learning_rate":
|
353 |
-
"loss": 0.
|
354 |
"step": 480
|
355 |
},
|
356 |
{
|
357 |
-
"epoch": 1.
|
358 |
-
"grad_norm":
|
359 |
-
"learning_rate":
|
360 |
-
"loss": 0.
|
361 |
"step": 490
|
362 |
},
|
363 |
{
|
364 |
-
"epoch": 1.
|
365 |
-
"grad_norm":
|
366 |
-
"learning_rate":
|
367 |
-
"loss": 0.
|
368 |
"step": 500
|
369 |
},
|
370 |
{
|
371 |
-
"epoch": 1.
|
372 |
-
"grad_norm": 4.
|
373 |
-
"learning_rate":
|
374 |
-
"loss": 0.
|
375 |
"step": 510
|
376 |
},
|
377 |
{
|
378 |
-
"epoch": 1.
|
379 |
-
"grad_norm":
|
380 |
-
"learning_rate":
|
381 |
-
"loss": 0.
|
382 |
"step": 520
|
383 |
},
|
384 |
{
|
385 |
-
"epoch": 1.
|
386 |
-
"grad_norm":
|
387 |
-
"learning_rate":
|
388 |
-
"loss": 0.
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
-
"epoch": 1.
|
393 |
-
"grad_norm":
|
394 |
-
"learning_rate":
|
395 |
-
"loss": 0.
|
396 |
"step": 540
|
397 |
},
|
398 |
{
|
399 |
-
"epoch":
|
400 |
-
"
|
401 |
-
"
|
402 |
-
"
|
403 |
-
"eval_samples_per_second": 333.446,
|
404 |
-
"eval_steps_per_second": 10.426,
|
405 |
-
"step": 547
|
406 |
-
},
|
407 |
-
{
|
408 |
-
"epoch": 2.01,
|
409 |
-
"grad_norm": 4.121983528137207,
|
410 |
-
"learning_rate": 1.824966078697422e-05,
|
411 |
-
"loss": 0.2469,
|
412 |
"step": 550
|
413 |
},
|
414 |
{
|
415 |
-
"epoch":
|
416 |
-
"grad_norm":
|
417 |
-
"learning_rate":
|
418 |
-
"loss": 0.
|
419 |
"step": 560
|
420 |
},
|
421 |
{
|
422 |
-
"epoch":
|
423 |
-
"grad_norm":
|
424 |
-
"learning_rate":
|
425 |
-
"loss": 0.
|
426 |
"step": 570
|
427 |
},
|
428 |
{
|
429 |
-
"epoch":
|
430 |
-
"grad_norm":
|
431 |
-
"learning_rate":
|
432 |
-
"loss": 0.
|
433 |
"step": 580
|
434 |
},
|
435 |
{
|
436 |
-
"epoch":
|
437 |
-
"grad_norm": 4.
|
438 |
-
"learning_rate":
|
439 |
-
"loss": 0.
|
440 |
"step": 590
|
441 |
},
|
442 |
{
|
443 |
-
"epoch":
|
444 |
-
"grad_norm": 3.
|
445 |
-
"learning_rate":
|
446 |
-
"loss": 0.
|
447 |
"step": 600
|
448 |
},
|
449 |
{
|
450 |
-
"epoch":
|
451 |
-
"grad_norm":
|
452 |
-
"learning_rate":
|
453 |
-
"loss": 0.
|
454 |
"step": 610
|
455 |
},
|
456 |
{
|
457 |
-
"epoch":
|
458 |
-
"grad_norm":
|
459 |
-
"learning_rate":
|
460 |
-
"loss": 0.
|
461 |
"step": 620
|
462 |
},
|
463 |
{
|
464 |
-
"epoch":
|
465 |
-
"grad_norm":
|
466 |
-
"learning_rate":
|
467 |
-
"loss": 0.
|
468 |
"step": 630
|
469 |
},
|
470 |
{
|
471 |
-
"epoch":
|
472 |
-
"grad_norm":
|
473 |
-
"learning_rate":
|
474 |
-
"loss": 0.
|
475 |
"step": 640
|
476 |
},
|
477 |
{
|
478 |
-
"epoch":
|
479 |
-
"grad_norm":
|
480 |
-
"learning_rate":
|
481 |
-
"loss": 0.
|
482 |
"step": 650
|
483 |
},
|
484 |
{
|
485 |
-
"epoch":
|
486 |
-
"grad_norm":
|
487 |
-
"learning_rate":
|
488 |
-
"loss": 0.
|
489 |
"step": 660
|
490 |
},
|
491 |
{
|
492 |
-
"epoch":
|
493 |
-
"grad_norm":
|
494 |
-
"learning_rate":
|
495 |
-
"loss": 0.
|
496 |
"step": 670
|
497 |
},
|
498 |
{
|
499 |
-
"epoch":
|
500 |
-
"grad_norm": 4.
|
501 |
-
"learning_rate":
|
502 |
-
"loss": 0.
|
503 |
"step": 680
|
504 |
},
|
505 |
{
|
506 |
-
"epoch":
|
507 |
-
"grad_norm":
|
508 |
-
"learning_rate":
|
509 |
-
"loss": 0.
|
510 |
"step": 690
|
511 |
},
|
512 |
{
|
513 |
-
"epoch":
|
514 |
-
"grad_norm":
|
515 |
-
"learning_rate":
|
516 |
-
"loss": 0.
|
517 |
"step": 700
|
518 |
},
|
519 |
{
|
520 |
-
"epoch":
|
521 |
-
"grad_norm": 3.
|
522 |
-
"learning_rate":
|
523 |
-
"loss": 0.
|
524 |
"step": 710
|
525 |
},
|
526 |
{
|
527 |
-
"epoch":
|
528 |
-
"grad_norm":
|
529 |
-
"learning_rate":
|
530 |
-
"loss": 0.
|
531 |
"step": 720
|
532 |
},
|
533 |
{
|
534 |
-
"epoch":
|
535 |
-
"grad_norm":
|
536 |
-
"learning_rate":
|
537 |
-
"loss": 0.
|
538 |
"step": 730
|
539 |
},
|
540 |
{
|
541 |
-
"epoch":
|
542 |
-
"grad_norm":
|
543 |
-
"learning_rate":
|
544 |
-
"loss": 0.
|
545 |
"step": 740
|
546 |
},
|
547 |
{
|
548 |
-
"epoch":
|
549 |
-
"grad_norm":
|
550 |
-
"learning_rate":
|
551 |
-
"loss": 0.
|
552 |
"step": 750
|
553 |
},
|
554 |
{
|
555 |
-
"epoch":
|
556 |
-
"grad_norm":
|
557 |
-
"learning_rate":
|
558 |
-
"loss": 0.
|
559 |
"step": 760
|
560 |
},
|
561 |
{
|
562 |
-
"epoch":
|
563 |
-
"grad_norm":
|
564 |
-
"learning_rate":
|
565 |
-
"loss": 0.
|
566 |
"step": 770
|
567 |
},
|
568 |
{
|
569 |
-
"epoch": 2.
|
570 |
-
"grad_norm":
|
571 |
-
"learning_rate":
|
572 |
-
"loss": 0.
|
573 |
"step": 780
|
574 |
},
|
575 |
{
|
576 |
-
"epoch": 2.
|
577 |
-
"
|
578 |
-
"
|
579 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
580 |
"step": 790
|
581 |
},
|
582 |
{
|
583 |
-
"epoch": 2.
|
584 |
-
"grad_norm": 4.
|
585 |
-
"learning_rate": 1.
|
586 |
-
"loss": 0.
|
587 |
"step": 800
|
588 |
},
|
589 |
{
|
590 |
-
"epoch": 2.
|
591 |
-
"grad_norm":
|
592 |
-
"learning_rate":
|
593 |
-
"loss": 0.
|
594 |
"step": 810
|
595 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
596 |
{
|
597 |
"epoch": 2.99,
|
598 |
-
"eval_accuracy": 0.
|
599 |
-
"eval_loss": 0.
|
600 |
-
"eval_runtime":
|
601 |
-
"eval_samples_per_second":
|
602 |
-
"eval_steps_per_second":
|
603 |
-
"step":
|
604 |
},
|
605 |
{
|
606 |
"epoch": 2.99,
|
607 |
-
"step":
|
608 |
-
"total_flos": 2.
|
609 |
-
"train_loss": 0.
|
610 |
-
"train_runtime":
|
611 |
-
"train_samples_per_second":
|
612 |
-
"train_steps_per_second": 1.
|
613 |
}
|
614 |
],
|
615 |
"logging_steps": 10,
|
616 |
-
"max_steps":
|
617 |
"num_input_tokens_seen": 0,
|
618 |
"num_train_epochs": 3,
|
619 |
"save_steps": 500,
|
620 |
-
"total_flos": 2.
|
621 |
"train_batch_size": 32,
|
622 |
"trial_name": null,
|
623 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9844,
|
3 |
+
"best_model_checkpoint": "vit-small-patch16-224-finetuned-cifar10/checkpoint-1170",
|
4 |
+
"epoch": 2.9942418426103647,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1170,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.03,
|
13 |
+
"grad_norm": 8.970051765441895,
|
14 |
+
"learning_rate": 4.273504273504274e-06,
|
15 |
+
"loss": 2.432,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.05,
|
20 |
+
"grad_norm": 7.947530746459961,
|
21 |
+
"learning_rate": 8.547008547008548e-06,
|
22 |
+
"loss": 2.2376,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.08,
|
27 |
+
"grad_norm": 7.60875129699707,
|
28 |
+
"learning_rate": 1.282051282051282e-05,
|
29 |
+
"loss": 1.9698,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.1,
|
34 |
+
"grad_norm": 6.434678554534912,
|
35 |
+
"learning_rate": 1.7094017094017095e-05,
|
36 |
+
"loss": 1.5489,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.13,
|
41 |
+
"grad_norm": 6.238937854766846,
|
42 |
+
"learning_rate": 2.1367521367521368e-05,
|
43 |
+
"loss": 1.1375,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"grad_norm": 5.423764228820801,
|
49 |
+
"learning_rate": 2.564102564102564e-05,
|
50 |
+
"loss": 0.7332,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.18,
|
55 |
+
"grad_norm": 7.145791530609131,
|
56 |
+
"learning_rate": 2.9914529914529915e-05,
|
57 |
+
"loss": 0.5841,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 0.2,
|
62 |
+
"grad_norm": 6.430414199829102,
|
63 |
+
"learning_rate": 3.418803418803419e-05,
|
64 |
+
"loss": 0.4957,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.23,
|
69 |
+
"grad_norm": 6.975243091583252,
|
70 |
+
"learning_rate": 3.846153846153846e-05,
|
71 |
+
"loss": 0.4523,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.26,
|
76 |
+
"grad_norm": 6.09722900390625,
|
77 |
+
"learning_rate": 4.2735042735042735e-05,
|
78 |
+
"loss": 0.4462,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.28,
|
83 |
+
"grad_norm": 5.052177429199219,
|
84 |
+
"learning_rate": 4.700854700854701e-05,
|
85 |
+
"loss": 0.3624,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.31,
|
90 |
+
"grad_norm": 5.480886459350586,
|
91 |
+
"learning_rate": 4.985754985754986e-05,
|
92 |
+
"loss": 0.3895,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.33,
|
97 |
+
"grad_norm": 4.691812992095947,
|
98 |
+
"learning_rate": 4.938271604938271e-05,
|
99 |
+
"loss": 0.3446,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
+
"epoch": 0.36,
|
104 |
+
"grad_norm": 6.404294013977051,
|
105 |
+
"learning_rate": 4.890788224121557e-05,
|
106 |
+
"loss": 0.4006,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.38,
|
111 |
+
"grad_norm": 5.33477258682251,
|
112 |
+
"learning_rate": 4.8433048433048433e-05,
|
113 |
+
"loss": 0.3532,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.41,
|
118 |
+
"grad_norm": 5.476822853088379,
|
119 |
+
"learning_rate": 4.7958214624881294e-05,
|
120 |
+
"loss": 0.3421,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.44,
|
125 |
+
"grad_norm": 6.005227565765381,
|
126 |
+
"learning_rate": 4.7483380816714154e-05,
|
127 |
+
"loss": 0.3692,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.46,
|
132 |
+
"grad_norm": 4.84128999710083,
|
133 |
+
"learning_rate": 4.700854700854701e-05,
|
134 |
+
"loss": 0.3457,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.49,
|
139 |
+
"grad_norm": 4.650127410888672,
|
140 |
+
"learning_rate": 4.653371320037987e-05,
|
141 |
+
"loss": 0.3685,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
+
"epoch": 0.51,
|
146 |
+
"grad_norm": 5.779717445373535,
|
147 |
+
"learning_rate": 4.605887939221273e-05,
|
148 |
+
"loss": 0.3451,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.54,
|
153 |
+
"grad_norm": 6.38178825378418,
|
154 |
+
"learning_rate": 4.558404558404559e-05,
|
155 |
+
"loss": 0.3394,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 0.56,
|
160 |
+
"grad_norm": 5.148958206176758,
|
161 |
+
"learning_rate": 4.510921177587845e-05,
|
162 |
+
"loss": 0.3641,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 0.59,
|
167 |
+
"grad_norm": 3.9889109134674072,
|
168 |
+
"learning_rate": 4.463437796771131e-05,
|
169 |
+
"loss": 0.3108,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 0.61,
|
174 |
+
"grad_norm": 6.51384162902832,
|
175 |
+
"learning_rate": 4.415954415954416e-05,
|
176 |
+
"loss": 0.2949,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.64,
|
181 |
+
"grad_norm": 4.950154781341553,
|
182 |
+
"learning_rate": 4.368471035137702e-05,
|
183 |
+
"loss": 0.3352,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
+
"epoch": 0.67,
|
188 |
+
"grad_norm": 6.234986782073975,
|
189 |
+
"learning_rate": 4.3209876543209875e-05,
|
190 |
+
"loss": 0.309,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 0.69,
|
195 |
+
"grad_norm": 5.57274055480957,
|
196 |
+
"learning_rate": 4.2735042735042735e-05,
|
197 |
+
"loss": 0.3161,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
+
"epoch": 0.72,
|
202 |
+
"grad_norm": 5.511316776275635,
|
203 |
+
"learning_rate": 4.2260208926875595e-05,
|
204 |
+
"loss": 0.3018,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
+
"epoch": 0.74,
|
209 |
+
"grad_norm": 3.934835910797119,
|
210 |
+
"learning_rate": 4.1785375118708455e-05,
|
211 |
+
"loss": 0.3116,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 0.77,
|
216 |
+
"grad_norm": 5.323722839355469,
|
217 |
+
"learning_rate": 4.131054131054131e-05,
|
218 |
+
"loss": 0.3105,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.79,
|
223 |
+
"grad_norm": 4.1425909996032715,
|
224 |
+
"learning_rate": 4.083570750237417e-05,
|
225 |
+
"loss": 0.296,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
+
"epoch": 0.82,
|
230 |
+
"grad_norm": 5.026642799377441,
|
231 |
+
"learning_rate": 4.036087369420703e-05,
|
232 |
+
"loss": 0.3594,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 0.84,
|
237 |
+
"grad_norm": 3.949415922164917,
|
238 |
+
"learning_rate": 3.988603988603989e-05,
|
239 |
+
"loss": 0.2849,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 0.87,
|
244 |
+
"grad_norm": 4.380434989929199,
|
245 |
+
"learning_rate": 3.941120607787275e-05,
|
246 |
+
"loss": 0.2935,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
+
"epoch": 0.9,
|
251 |
+
"grad_norm": 4.884699821472168,
|
252 |
+
"learning_rate": 3.893637226970561e-05,
|
253 |
+
"loss": 0.3128,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
+
"epoch": 0.92,
|
258 |
+
"grad_norm": 6.950473308563232,
|
259 |
+
"learning_rate": 3.846153846153846e-05,
|
260 |
+
"loss": 0.3073,
|
261 |
"step": 360
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.95,
|
265 |
+
"grad_norm": 5.410139560699463,
|
266 |
+
"learning_rate": 3.798670465337132e-05,
|
267 |
+
"loss": 0.2998,
|
268 |
"step": 370
|
269 |
},
|
270 |
{
|
271 |
+
"epoch": 0.97,
|
272 |
+
"grad_norm": 4.638174057006836,
|
273 |
+
"learning_rate": 3.7511870845204176e-05,
|
274 |
+
"loss": 0.3124,
|
275 |
"step": 380
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 1.0,
|
279 |
+
"grad_norm": 4.711712837219238,
|
280 |
+
"learning_rate": 3.7037037037037037e-05,
|
281 |
+
"loss": 0.2682,
|
282 |
"step": 390
|
283 |
},
|
284 |
{
|
285 |
+
"epoch": 1.0,
|
286 |
+
"eval_accuracy": 0.9713,
|
287 |
+
"eval_loss": 0.0821285992860794,
|
288 |
+
"eval_runtime": 32.3489,
|
289 |
+
"eval_samples_per_second": 309.13,
|
290 |
+
"eval_steps_per_second": 9.676,
|
291 |
+
"step": 390
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 1.02,
|
295 |
+
"grad_norm": 4.979706764221191,
|
296 |
+
"learning_rate": 3.65622032288699e-05,
|
297 |
+
"loss": 0.2836,
|
298 |
"step": 400
|
299 |
},
|
300 |
{
|
301 |
+
"epoch": 1.05,
|
302 |
+
"grad_norm": 3.807408332824707,
|
303 |
+
"learning_rate": 3.608736942070276e-05,
|
304 |
+
"loss": 0.2521,
|
305 |
"step": 410
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 1.07,
|
309 |
+
"grad_norm": 4.402036190032959,
|
310 |
+
"learning_rate": 3.561253561253561e-05,
|
311 |
+
"loss": 0.2469,
|
312 |
"step": 420
|
313 |
},
|
314 |
{
|
315 |
+
"epoch": 1.1,
|
316 |
+
"grad_norm": 3.0667805671691895,
|
317 |
+
"learning_rate": 3.513770180436847e-05,
|
318 |
+
"loss": 0.2383,
|
319 |
"step": 430
|
320 |
},
|
321 |
{
|
322 |
+
"epoch": 1.13,
|
323 |
+
"grad_norm": 6.403406620025635,
|
324 |
+
"learning_rate": 3.466286799620133e-05,
|
325 |
+
"loss": 0.277,
|
326 |
"step": 440
|
327 |
},
|
328 |
{
|
329 |
+
"epoch": 1.15,
|
330 |
+
"grad_norm": 5.481479167938232,
|
331 |
+
"learning_rate": 3.418803418803419e-05,
|
332 |
+
"loss": 0.2533,
|
333 |
"step": 450
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 1.18,
|
337 |
+
"grad_norm": 5.324038028717041,
|
338 |
+
"learning_rate": 3.371320037986705e-05,
|
339 |
+
"loss": 0.2813,
|
340 |
"step": 460
|
341 |
},
|
342 |
{
|
343 |
+
"epoch": 1.2,
|
344 |
+
"grad_norm": 2.4851675033569336,
|
345 |
+
"learning_rate": 3.323836657169991e-05,
|
346 |
+
"loss": 0.3055,
|
347 |
"step": 470
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 1.23,
|
351 |
+
"grad_norm": 4.365708827972412,
|
352 |
+
"learning_rate": 3.2763532763532764e-05,
|
353 |
+
"loss": 0.2797,
|
354 |
"step": 480
|
355 |
},
|
356 |
{
|
357 |
+
"epoch": 1.25,
|
358 |
+
"grad_norm": 3.6004509925842285,
|
359 |
+
"learning_rate": 3.2288698955365625e-05,
|
360 |
+
"loss": 0.2776,
|
361 |
"step": 490
|
362 |
},
|
363 |
{
|
364 |
+
"epoch": 1.28,
|
365 |
+
"grad_norm": 3.7064690589904785,
|
366 |
+
"learning_rate": 3.181386514719848e-05,
|
367 |
+
"loss": 0.2605,
|
368 |
"step": 500
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 1.31,
|
372 |
+
"grad_norm": 4.883594036102295,
|
373 |
+
"learning_rate": 3.133903133903134e-05,
|
374 |
+
"loss": 0.2403,
|
375 |
"step": 510
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 1.33,
|
379 |
+
"grad_norm": 5.014550685882568,
|
380 |
+
"learning_rate": 3.08641975308642e-05,
|
381 |
+
"loss": 0.2436,
|
382 |
"step": 520
|
383 |
},
|
384 |
{
|
385 |
+
"epoch": 1.36,
|
386 |
+
"grad_norm": 4.304734230041504,
|
387 |
+
"learning_rate": 3.0389363722697055e-05,
|
388 |
+
"loss": 0.2639,
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 1.38,
|
393 |
+
"grad_norm": 3.2759273052215576,
|
394 |
+
"learning_rate": 2.9914529914529915e-05,
|
395 |
+
"loss": 0.2651,
|
396 |
"step": 540
|
397 |
},
|
398 |
{
|
399 |
+
"epoch": 1.41,
|
400 |
+
"grad_norm": 3.556528091430664,
|
401 |
+
"learning_rate": 2.9439696106362775e-05,
|
402 |
+
"loss": 0.2359,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
403 |
"step": 550
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 1.43,
|
407 |
+
"grad_norm": 4.672804355621338,
|
408 |
+
"learning_rate": 2.8964862298195632e-05,
|
409 |
+
"loss": 0.2376,
|
410 |
"step": 560
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 1.46,
|
414 |
+
"grad_norm": 4.527768611907959,
|
415 |
+
"learning_rate": 2.8490028490028492e-05,
|
416 |
+
"loss": 0.2504,
|
417 |
"step": 570
|
418 |
},
|
419 |
{
|
420 |
+
"epoch": 1.48,
|
421 |
+
"grad_norm": 5.102674961090088,
|
422 |
+
"learning_rate": 2.8015194681861352e-05,
|
423 |
+
"loss": 0.2604,
|
424 |
"step": 580
|
425 |
},
|
426 |
{
|
427 |
+
"epoch": 1.51,
|
428 |
+
"grad_norm": 4.18637228012085,
|
429 |
+
"learning_rate": 2.754036087369421e-05,
|
430 |
+
"loss": 0.2746,
|
431 |
"step": 590
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 1.54,
|
435 |
+
"grad_norm": 3.3811545372009277,
|
436 |
+
"learning_rate": 2.706552706552707e-05,
|
437 |
+
"loss": 0.2548,
|
438 |
"step": 600
|
439 |
},
|
440 |
{
|
441 |
+
"epoch": 1.56,
|
442 |
+
"grad_norm": 3.1672608852386475,
|
443 |
+
"learning_rate": 2.6590693257359926e-05,
|
444 |
+
"loss": 0.2423,
|
445 |
"step": 610
|
446 |
},
|
447 |
{
|
448 |
+
"epoch": 1.59,
|
449 |
+
"grad_norm": 3.609534740447998,
|
450 |
+
"learning_rate": 2.611585944919278e-05,
|
451 |
+
"loss": 0.1994,
|
452 |
"step": 620
|
453 |
},
|
454 |
{
|
455 |
+
"epoch": 1.61,
|
456 |
+
"grad_norm": 5.083642482757568,
|
457 |
+
"learning_rate": 2.564102564102564e-05,
|
458 |
+
"loss": 0.292,
|
459 |
"step": 630
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 1.64,
|
463 |
+
"grad_norm": 4.716630935668945,
|
464 |
+
"learning_rate": 2.51661918328585e-05,
|
465 |
+
"loss": 0.2333,
|
466 |
"step": 640
|
467 |
},
|
468 |
{
|
469 |
+
"epoch": 1.66,
|
470 |
+
"grad_norm": 4.915971755981445,
|
471 |
+
"learning_rate": 2.4691358024691357e-05,
|
472 |
+
"loss": 0.2364,
|
473 |
"step": 650
|
474 |
},
|
475 |
{
|
476 |
+
"epoch": 1.69,
|
477 |
+
"grad_norm": 4.216696739196777,
|
478 |
+
"learning_rate": 2.4216524216524217e-05,
|
479 |
+
"loss": 0.2503,
|
480 |
"step": 660
|
481 |
},
|
482 |
{
|
483 |
+
"epoch": 1.71,
|
484 |
+
"grad_norm": 4.966453552246094,
|
485 |
+
"learning_rate": 2.3741690408357077e-05,
|
486 |
+
"loss": 0.224,
|
487 |
"step": 670
|
488 |
},
|
489 |
{
|
490 |
+
"epoch": 1.74,
|
491 |
+
"grad_norm": 4.153652191162109,
|
492 |
+
"learning_rate": 2.3266856600189934e-05,
|
493 |
+
"loss": 0.2109,
|
494 |
"step": 680
|
495 |
},
|
496 |
{
|
497 |
+
"epoch": 1.77,
|
498 |
+
"grad_norm": 2.9919214248657227,
|
499 |
+
"learning_rate": 2.2792022792022794e-05,
|
500 |
+
"loss": 0.2371,
|
501 |
"step": 690
|
502 |
},
|
503 |
{
|
504 |
+
"epoch": 1.79,
|
505 |
+
"grad_norm": 5.105522155761719,
|
506 |
+
"learning_rate": 2.2317188983855654e-05,
|
507 |
+
"loss": 0.2187,
|
508 |
"step": 700
|
509 |
},
|
510 |
{
|
511 |
+
"epoch": 1.82,
|
512 |
+
"grad_norm": 3.9936702251434326,
|
513 |
+
"learning_rate": 2.184235517568851e-05,
|
514 |
+
"loss": 0.2403,
|
515 |
"step": 710
|
516 |
},
|
517 |
{
|
518 |
+
"epoch": 1.84,
|
519 |
+
"grad_norm": 5.220417022705078,
|
520 |
+
"learning_rate": 2.1367521367521368e-05,
|
521 |
+
"loss": 0.2383,
|
522 |
"step": 720
|
523 |
},
|
524 |
{
|
525 |
+
"epoch": 1.87,
|
526 |
+
"grad_norm": 3.134110450744629,
|
527 |
+
"learning_rate": 2.0892687559354228e-05,
|
528 |
+
"loss": 0.2197,
|
529 |
"step": 730
|
530 |
},
|
531 |
{
|
532 |
+
"epoch": 1.89,
|
533 |
+
"grad_norm": 5.406284809112549,
|
534 |
+
"learning_rate": 2.0417853751187084e-05,
|
535 |
+
"loss": 0.224,
|
536 |
"step": 740
|
537 |
},
|
538 |
{
|
539 |
+
"epoch": 1.92,
|
540 |
+
"grad_norm": 5.273613452911377,
|
541 |
+
"learning_rate": 1.9943019943019945e-05,
|
542 |
+
"loss": 0.1951,
|
543 |
"step": 750
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 1.94,
|
547 |
+
"grad_norm": 4.695704936981201,
|
548 |
+
"learning_rate": 1.9468186134852805e-05,
|
549 |
+
"loss": 0.2324,
|
550 |
"step": 760
|
551 |
},
|
552 |
{
|
553 |
+
"epoch": 1.97,
|
554 |
+
"grad_norm": 5.734136581420898,
|
555 |
+
"learning_rate": 1.899335232668566e-05,
|
556 |
+
"loss": 0.248,
|
557 |
"step": 770
|
558 |
},
|
559 |
{
|
560 |
+
"epoch": 2.0,
|
561 |
+
"grad_norm": 4.757730960845947,
|
562 |
+
"learning_rate": 1.8518518518518518e-05,
|
563 |
+
"loss": 0.252,
|
564 |
"step": 780
|
565 |
},
|
566 |
{
|
567 |
+
"epoch": 2.0,
|
568 |
+
"eval_accuracy": 0.9842,
|
569 |
+
"eval_loss": 0.050203289836645126,
|
570 |
+
"eval_runtime": 31.7681,
|
571 |
+
"eval_samples_per_second": 314.781,
|
572 |
+
"eval_steps_per_second": 9.853,
|
573 |
+
"step": 781
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 2.02,
|
577 |
+
"grad_norm": 4.400415897369385,
|
578 |
+
"learning_rate": 1.804368471035138e-05,
|
579 |
+
"loss": 0.2364,
|
580 |
"step": 790
|
581 |
},
|
582 |
{
|
583 |
+
"epoch": 2.05,
|
584 |
+
"grad_norm": 4.02318000793457,
|
585 |
+
"learning_rate": 1.7568850902184235e-05,
|
586 |
+
"loss": 0.2164,
|
587 |
"step": 800
|
588 |
},
|
589 |
{
|
590 |
+
"epoch": 2.07,
|
591 |
+
"grad_norm": 5.289691925048828,
|
592 |
+
"learning_rate": 1.7094017094017095e-05,
|
593 |
+
"loss": 0.2472,
|
594 |
"step": 810
|
595 |
},
|
596 |
+
{
|
597 |
+
"epoch": 2.1,
|
598 |
+
"grad_norm": 3.842559337615967,
|
599 |
+
"learning_rate": 1.6619183285849956e-05,
|
600 |
+
"loss": 0.2209,
|
601 |
+
"step": 820
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.12,
|
605 |
+
"grad_norm": 5.64124870300293,
|
606 |
+
"learning_rate": 1.6144349477682812e-05,
|
607 |
+
"loss": 0.2473,
|
608 |
+
"step": 830
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.15,
|
612 |
+
"grad_norm": 4.473005771636963,
|
613 |
+
"learning_rate": 1.566951566951567e-05,
|
614 |
+
"loss": 0.2287,
|
615 |
+
"step": 840
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.18,
|
619 |
+
"grad_norm": 4.476832389831543,
|
620 |
+
"learning_rate": 1.5194681861348528e-05,
|
621 |
+
"loss": 0.2208,
|
622 |
+
"step": 850
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.2,
|
626 |
+
"grad_norm": 4.89029598236084,
|
627 |
+
"learning_rate": 1.4719848053181388e-05,
|
628 |
+
"loss": 0.2332,
|
629 |
+
"step": 860
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 2.23,
|
633 |
+
"grad_norm": 5.0262627601623535,
|
634 |
+
"learning_rate": 1.4245014245014246e-05,
|
635 |
+
"loss": 0.2001,
|
636 |
+
"step": 870
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 2.25,
|
640 |
+
"grad_norm": 4.80778169631958,
|
641 |
+
"learning_rate": 1.3770180436847105e-05,
|
642 |
+
"loss": 0.2018,
|
643 |
+
"step": 880
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 2.28,
|
647 |
+
"grad_norm": 3.203700304031372,
|
648 |
+
"learning_rate": 1.3295346628679963e-05,
|
649 |
+
"loss": 0.2018,
|
650 |
+
"step": 890
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.3,
|
654 |
+
"grad_norm": 4.840007305145264,
|
655 |
+
"learning_rate": 1.282051282051282e-05,
|
656 |
+
"loss": 0.2754,
|
657 |
+
"step": 900
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.33,
|
661 |
+
"grad_norm": 4.501500129699707,
|
662 |
+
"learning_rate": 1.2345679012345678e-05,
|
663 |
+
"loss": 0.1986,
|
664 |
+
"step": 910
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.35,
|
668 |
+
"grad_norm": 3.4367220401763916,
|
669 |
+
"learning_rate": 1.1870845204178538e-05,
|
670 |
+
"loss": 0.2145,
|
671 |
+
"step": 920
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 2.38,
|
675 |
+
"grad_norm": 5.076148509979248,
|
676 |
+
"learning_rate": 1.1396011396011397e-05,
|
677 |
+
"loss": 0.2001,
|
678 |
+
"step": 930
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 2.41,
|
682 |
+
"grad_norm": 2.299694299697876,
|
683 |
+
"learning_rate": 1.0921177587844255e-05,
|
684 |
+
"loss": 0.1935,
|
685 |
+
"step": 940
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.43,
|
689 |
+
"grad_norm": 3.9149887561798096,
|
690 |
+
"learning_rate": 1.0446343779677114e-05,
|
691 |
+
"loss": 0.2158,
|
692 |
+
"step": 950
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.46,
|
696 |
+
"grad_norm": 5.087822437286377,
|
697 |
+
"learning_rate": 9.971509971509972e-06,
|
698 |
+
"loss": 0.2052,
|
699 |
+
"step": 960
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.48,
|
703 |
+
"grad_norm": 3.8664252758026123,
|
704 |
+
"learning_rate": 9.49667616334283e-06,
|
705 |
+
"loss": 0.2056,
|
706 |
+
"step": 970
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.51,
|
710 |
+
"grad_norm": 4.961308479309082,
|
711 |
+
"learning_rate": 9.02184235517569e-06,
|
712 |
+
"loss": 0.2157,
|
713 |
+
"step": 980
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.53,
|
717 |
+
"grad_norm": 4.553085803985596,
|
718 |
+
"learning_rate": 8.547008547008548e-06,
|
719 |
+
"loss": 0.2079,
|
720 |
+
"step": 990
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.56,
|
724 |
+
"grad_norm": 3.396073818206787,
|
725 |
+
"learning_rate": 8.072174738841406e-06,
|
726 |
+
"loss": 0.1919,
|
727 |
+
"step": 1000
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 2.58,
|
731 |
+
"grad_norm": 5.101813316345215,
|
732 |
+
"learning_rate": 7.597340930674264e-06,
|
733 |
+
"loss": 0.1812,
|
734 |
+
"step": 1010
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.61,
|
738 |
+
"grad_norm": 5.189543724060059,
|
739 |
+
"learning_rate": 7.122507122507123e-06,
|
740 |
+
"loss": 0.2123,
|
741 |
+
"step": 1020
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.64,
|
745 |
+
"grad_norm": 4.240951061248779,
|
746 |
+
"learning_rate": 6.6476733143399815e-06,
|
747 |
+
"loss": 0.218,
|
748 |
+
"step": 1030
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.66,
|
752 |
+
"grad_norm": 3.139678716659546,
|
753 |
+
"learning_rate": 6.172839506172839e-06,
|
754 |
+
"loss": 0.1824,
|
755 |
+
"step": 1040
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.69,
|
759 |
+
"grad_norm": 2.84495210647583,
|
760 |
+
"learning_rate": 5.6980056980056985e-06,
|
761 |
+
"loss": 0.1916,
|
762 |
+
"step": 1050
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.71,
|
766 |
+
"grad_norm": 3.4231679439544678,
|
767 |
+
"learning_rate": 5.223171889838557e-06,
|
768 |
+
"loss": 0.1953,
|
769 |
+
"step": 1060
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 2.74,
|
773 |
+
"grad_norm": 4.120250225067139,
|
774 |
+
"learning_rate": 4.748338081671415e-06,
|
775 |
+
"loss": 0.2046,
|
776 |
+
"step": 1070
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 2.76,
|
780 |
+
"grad_norm": 5.0515055656433105,
|
781 |
+
"learning_rate": 4.273504273504274e-06,
|
782 |
+
"loss": 0.1941,
|
783 |
+
"step": 1080
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 2.79,
|
787 |
+
"grad_norm": 4.197494029998779,
|
788 |
+
"learning_rate": 3.798670465337132e-06,
|
789 |
+
"loss": 0.1908,
|
790 |
+
"step": 1090
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 2.82,
|
794 |
+
"grad_norm": 5.316411972045898,
|
795 |
+
"learning_rate": 3.3238366571699908e-06,
|
796 |
+
"loss": 0.1954,
|
797 |
+
"step": 1100
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 2.84,
|
801 |
+
"grad_norm": 2.8527472019195557,
|
802 |
+
"learning_rate": 2.8490028490028492e-06,
|
803 |
+
"loss": 0.1466,
|
804 |
+
"step": 1110
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 2.87,
|
808 |
+
"grad_norm": 4.074756622314453,
|
809 |
+
"learning_rate": 2.3741690408357077e-06,
|
810 |
+
"loss": 0.2092,
|
811 |
+
"step": 1120
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 2.89,
|
815 |
+
"grad_norm": 4.336794853210449,
|
816 |
+
"learning_rate": 1.899335232668566e-06,
|
817 |
+
"loss": 0.1742,
|
818 |
+
"step": 1130
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.92,
|
822 |
+
"grad_norm": 3.8528594970703125,
|
823 |
+
"learning_rate": 1.4245014245014246e-06,
|
824 |
+
"loss": 0.2002,
|
825 |
+
"step": 1140
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.94,
|
829 |
+
"grad_norm": 4.159782409667969,
|
830 |
+
"learning_rate": 9.49667616334283e-07,
|
831 |
+
"loss": 0.1847,
|
832 |
+
"step": 1150
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 2.97,
|
836 |
+
"grad_norm": 5.317773342132568,
|
837 |
+
"learning_rate": 4.748338081671415e-07,
|
838 |
+
"loss": 0.2293,
|
839 |
+
"step": 1160
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 2.99,
|
843 |
+
"grad_norm": 4.241806983947754,
|
844 |
+
"learning_rate": 0.0,
|
845 |
+
"loss": 0.173,
|
846 |
+
"step": 1170
|
847 |
+
},
|
848 |
{
|
849 |
"epoch": 2.99,
|
850 |
+
"eval_accuracy": 0.9844,
|
851 |
+
"eval_loss": 0.04590694606304169,
|
852 |
+
"eval_runtime": 32.5039,
|
853 |
+
"eval_samples_per_second": 307.655,
|
854 |
+
"eval_steps_per_second": 9.63,
|
855 |
+
"step": 1170
|
856 |
},
|
857 |
{
|
858 |
"epoch": 2.99,
|
859 |
+
"step": 1170,
|
860 |
+
"total_flos": 2.930358373492064e+18,
|
861 |
+
"train_loss": 0.33610059461023056,
|
862 |
+
"train_runtime": 935.657,
|
863 |
+
"train_samples_per_second": 160.315,
|
864 |
+
"train_steps_per_second": 1.25
|
865 |
}
|
866 |
],
|
867 |
"logging_steps": 10,
|
868 |
+
"max_steps": 1170,
|
869 |
"num_input_tokens_seen": 0,
|
870 |
"num_train_epochs": 3,
|
871 |
"save_steps": 500,
|
872 |
+
"total_flos": 2.930358373492064e+18,
|
873 |
"train_batch_size": 32,
|
874 |
"trial_name": null,
|
875 |
"trial_params": null
|