mikhail-panzo
commited on
Commit
•
54e10e2
1
Parent(s):
119476f
Training in progress, step 4000, checkpoint
Browse files
checkpoint-4000/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 577789320
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f6d9e6f9c948390c9ace79dc7f0aeaaabf41da3f2049290ced2b274c8577cea
|
3 |
size 577789320
|
checkpoint-4000/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1155772233
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6cf4320f0c19f7da46802822e47ef6ae3abd144234829fff57ac1e7b7270fd4a
|
3 |
size 1155772233
|
checkpoint-4000/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dc75358d4b9d8ee1ab4abaddf3796bb768c9b8fb3549b81a36c54fe14ead6b3e
|
3 |
size 14244
|
checkpoint-4000/trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "
|
4 |
-
"epoch": 3.
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 4000,
|
7 |
"is_hyper_param_search": false,
|
@@ -9,627 +9,627 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate": 2.
|
15 |
-
"loss": 1.
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate": 4.
|
22 |
-
"loss": 1.
|
23 |
"step": 100
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 7.4e-07,
|
29 |
-
"loss": 0.
|
30 |
"step": 150
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate": 9.
|
36 |
-
"loss": 0.
|
37 |
"step": 200
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm": 3.
|
42 |
-
"learning_rate": 1.
|
43 |
-
"loss": 0.
|
44 |
"step": 250
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate": 1.
|
50 |
-
"loss": 0.
|
51 |
"step": 300
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate": 1.
|
57 |
-
"loss": 0.
|
58 |
"step": 350
|
59 |
},
|
60 |
{
|
61 |
-
"epoch": 0.
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate": 1.
|
64 |
-
"loss": 0.
|
65 |
"step": 400
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm": 2.
|
70 |
-
"learning_rate": 2.
|
71 |
-
"loss": 0.
|
72 |
"step": 450
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm": 2.
|
77 |
-
"learning_rate": 2.
|
78 |
-
"loss": 0.
|
79 |
"step": 500
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"eval_loss": 0.
|
84 |
-
"eval_runtime":
|
85 |
-
"eval_samples_per_second":
|
86 |
-
"eval_steps_per_second": 4.
|
87 |
"step": 500
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
-
"grad_norm":
|
92 |
-
"learning_rate": 2.
|
93 |
-
"loss": 0.
|
94 |
"step": 550
|
95 |
},
|
96 |
{
|
97 |
-
"epoch": 0.
|
98 |
-
"grad_norm":
|
99 |
-
"learning_rate": 2.
|
100 |
-
"loss": 0.
|
101 |
"step": 600
|
102 |
},
|
103 |
{
|
104 |
-
"epoch": 0.
|
105 |
-
"grad_norm":
|
106 |
-
"learning_rate": 3.
|
107 |
-
"loss": 0.
|
108 |
"step": 650
|
109 |
},
|
110 |
{
|
111 |
-
"epoch": 0.
|
112 |
-
"grad_norm": 2.
|
113 |
-
"learning_rate": 3.
|
114 |
-
"loss": 0.
|
115 |
"step": 700
|
116 |
},
|
117 |
{
|
118 |
-
"epoch": 0.
|
119 |
-
"grad_norm":
|
120 |
-
"learning_rate": 3.
|
121 |
-
"loss": 0.
|
122 |
"step": 750
|
123 |
},
|
124 |
{
|
125 |
-
"epoch": 0.
|
126 |
-
"grad_norm":
|
127 |
-
"learning_rate": 3.
|
128 |
-
"loss": 0.
|
129 |
"step": 800
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"grad_norm":
|
134 |
-
"learning_rate": 4.
|
135 |
-
"loss": 0.
|
136 |
"step": 850
|
137 |
},
|
138 |
{
|
139 |
-
"epoch": 0.
|
140 |
-
"grad_norm":
|
141 |
-
"learning_rate": 4.
|
142 |
-
"loss": 0.
|
143 |
"step": 900
|
144 |
},
|
145 |
{
|
146 |
-
"epoch": 0.
|
147 |
-
"grad_norm": 2.
|
148 |
-
"learning_rate": 4.
|
149 |
-
"loss": 0.
|
150 |
"step": 950
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 0.
|
154 |
-
"grad_norm":
|
155 |
-
"learning_rate": 4.
|
156 |
-
"loss": 0.
|
157 |
"step": 1000
|
158 |
},
|
159 |
{
|
160 |
-
"epoch": 0.
|
161 |
-
"eval_loss": 0.
|
162 |
-
"eval_runtime":
|
163 |
-
"eval_samples_per_second":
|
164 |
-
"eval_steps_per_second": 4.
|
165 |
"step": 1000
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0.
|
169 |
-
"grad_norm":
|
170 |
-
"learning_rate": 5.
|
171 |
-
"loss": 0.
|
172 |
"step": 1050
|
173 |
},
|
174 |
{
|
175 |
-
"epoch": 0.
|
176 |
-
"grad_norm":
|
177 |
"learning_rate": 5.485e-06,
|
178 |
-
"loss": 0.
|
179 |
"step": 1100
|
180 |
},
|
181 |
{
|
182 |
-
"epoch": 0.
|
183 |
-
"grad_norm":
|
184 |
"learning_rate": 5.735e-06,
|
185 |
-
"loss": 0.
|
186 |
"step": 1150
|
187 |
},
|
188 |
{
|
189 |
-
"epoch": 1.
|
190 |
-
"grad_norm": 2.
|
191 |
"learning_rate": 5.985000000000001e-06,
|
192 |
-
"loss": 0.
|
193 |
"step": 1200
|
194 |
},
|
195 |
{
|
196 |
-
"epoch": 1.
|
197 |
-
"grad_norm":
|
198 |
"learning_rate": 6.235000000000001e-06,
|
199 |
-
"loss": 0.
|
200 |
"step": 1250
|
201 |
},
|
202 |
{
|
203 |
-
"epoch": 1.
|
204 |
-
"grad_norm":
|
205 |
"learning_rate": 6.485000000000001e-06,
|
206 |
-
"loss": 0.
|
207 |
"step": 1300
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 1.
|
211 |
-
"grad_norm":
|
212 |
"learning_rate": 6.735000000000001e-06,
|
213 |
-
"loss": 0.
|
214 |
"step": 1350
|
215 |
},
|
216 |
{
|
217 |
-
"epoch": 1.
|
218 |
-
"grad_norm":
|
219 |
"learning_rate": 6.985000000000001e-06,
|
220 |
-
"loss": 0.
|
221 |
"step": 1400
|
222 |
},
|
223 |
{
|
224 |
-
"epoch": 1.
|
225 |
-
"grad_norm":
|
226 |
"learning_rate": 7.235000000000001e-06,
|
227 |
-
"loss": 0.
|
228 |
"step": 1450
|
229 |
},
|
230 |
{
|
231 |
-
"epoch": 1.
|
232 |
-
"grad_norm":
|
233 |
"learning_rate": 7.485000000000001e-06,
|
234 |
-
"loss": 0.
|
235 |
"step": 1500
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 1.
|
239 |
-
"eval_loss": 0.
|
240 |
-
"eval_runtime":
|
241 |
-
"eval_samples_per_second":
|
242 |
-
"eval_steps_per_second":
|
243 |
"step": 1500
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 1.
|
247 |
-
"grad_norm":
|
248 |
"learning_rate": 7.735e-06,
|
249 |
-
"loss": 0.
|
250 |
"step": 1550
|
251 |
},
|
252 |
{
|
253 |
-
"epoch": 1.
|
254 |
-
"grad_norm":
|
255 |
"learning_rate": 7.985e-06,
|
256 |
-
"loss": 0.
|
257 |
"step": 1600
|
258 |
},
|
259 |
{
|
260 |
-
"epoch": 1.
|
261 |
-
"grad_norm":
|
262 |
"learning_rate": 8.235e-06,
|
263 |
-
"loss": 0.
|
264 |
"step": 1650
|
265 |
},
|
266 |
{
|
267 |
-
"epoch": 1.
|
268 |
-
"grad_norm":
|
269 |
"learning_rate": 8.485000000000001e-06,
|
270 |
-
"loss": 0.
|
271 |
"step": 1700
|
272 |
},
|
273 |
{
|
274 |
-
"epoch": 1.
|
275 |
-
"grad_norm": 3.
|
276 |
"learning_rate": 8.735000000000002e-06,
|
277 |
-
"loss": 0.
|
278 |
"step": 1750
|
279 |
},
|
280 |
{
|
281 |
-
"epoch": 1.
|
282 |
-
"grad_norm":
|
283 |
"learning_rate": 8.985000000000001e-06,
|
284 |
-
"loss": 0.
|
285 |
"step": 1800
|
286 |
},
|
287 |
{
|
288 |
-
"epoch": 1.
|
289 |
-
"grad_norm":
|
290 |
"learning_rate": 9.235e-06,
|
291 |
-
"loss": 0.
|
292 |
"step": 1850
|
293 |
},
|
294 |
{
|
295 |
-
"epoch": 1.
|
296 |
-
"grad_norm": 2.
|
297 |
"learning_rate": 9.485000000000002e-06,
|
298 |
-
"loss": 0.
|
299 |
"step": 1900
|
300 |
},
|
301 |
{
|
302 |
-
"epoch": 1.
|
303 |
-
"grad_norm":
|
304 |
"learning_rate": 9.735e-06,
|
305 |
-
"loss": 0.
|
306 |
"step": 1950
|
307 |
},
|
308 |
{
|
309 |
-
"epoch": 1.
|
310 |
-
"grad_norm":
|
311 |
"learning_rate": 9.985000000000002e-06,
|
312 |
-
"loss": 0.
|
313 |
"step": 2000
|
314 |
},
|
315 |
{
|
316 |
-
"epoch": 1.
|
317 |
-
"eval_loss": 0.
|
318 |
-
"eval_runtime":
|
319 |
-
"eval_samples_per_second":
|
320 |
-
"eval_steps_per_second":
|
321 |
"step": 2000
|
322 |
},
|
323 |
{
|
324 |
-
"epoch": 1.
|
325 |
-
"grad_norm":
|
326 |
"learning_rate": 9.953000000000001e-06,
|
327 |
-
"loss": 0.
|
328 |
"step": 2050
|
329 |
},
|
330 |
{
|
331 |
-
"epoch": 1.
|
332 |
-
"grad_norm": 3.
|
333 |
"learning_rate": 9.903e-06,
|
334 |
-
"loss": 0.
|
335 |
"step": 2100
|
336 |
},
|
337 |
{
|
338 |
-
"epoch": 1.
|
339 |
-
"grad_norm":
|
340 |
"learning_rate": 9.853e-06,
|
341 |
-
"loss": 0.
|
342 |
"step": 2150
|
343 |
},
|
344 |
{
|
345 |
-
"epoch": 1.
|
346 |
-
"grad_norm": 2.
|
347 |
"learning_rate": 9.803e-06,
|
348 |
-
"loss": 0.
|
349 |
"step": 2200
|
350 |
},
|
351 |
{
|
352 |
-
"epoch": 1.
|
353 |
-
"grad_norm":
|
354 |
"learning_rate": 9.753e-06,
|
355 |
-
"loss": 0.
|
356 |
"step": 2250
|
357 |
},
|
358 |
{
|
359 |
-
"epoch": 1.
|
360 |
-
"grad_norm": 2.
|
361 |
"learning_rate": 9.703000000000002e-06,
|
362 |
-
"loss": 0.
|
363 |
"step": 2300
|
364 |
},
|
365 |
{
|
366 |
-
"epoch": 1.
|
367 |
-
"grad_norm":
|
368 |
"learning_rate": 9.653e-06,
|
369 |
-
"loss": 0.
|
370 |
"step": 2350
|
371 |
},
|
372 |
{
|
373 |
-
"epoch": 2.
|
374 |
-
"grad_norm": 2.
|
375 |
"learning_rate": 9.603000000000001e-06,
|
376 |
-
"loss": 0.
|
377 |
"step": 2400
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 2.
|
381 |
-
"grad_norm":
|
382 |
"learning_rate": 9.553000000000002e-06,
|
383 |
-
"loss": 0.
|
384 |
"step": 2450
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 2.
|
388 |
-
"grad_norm": 2.
|
389 |
"learning_rate": 9.503e-06,
|
390 |
-
"loss": 0.
|
391 |
"step": 2500
|
392 |
},
|
393 |
{
|
394 |
-
"epoch": 2.
|
395 |
-
"eval_loss": 0.
|
396 |
-
"eval_runtime":
|
397 |
-
"eval_samples_per_second":
|
398 |
-
"eval_steps_per_second": 4.
|
399 |
"step": 2500
|
400 |
},
|
401 |
{
|
402 |
-
"epoch": 2.
|
403 |
-
"grad_norm":
|
404 |
"learning_rate": 9.453e-06,
|
405 |
-
"loss": 0.
|
406 |
"step": 2550
|
407 |
},
|
408 |
{
|
409 |
-
"epoch": 2.
|
410 |
-
"grad_norm":
|
411 |
"learning_rate": 9.403000000000001e-06,
|
412 |
-
"loss": 0.
|
413 |
"step": 2600
|
414 |
},
|
415 |
{
|
416 |
-
"epoch": 2.
|
417 |
-
"grad_norm": 2.
|
418 |
"learning_rate": 9.353000000000002e-06,
|
419 |
-
"loss": 0.
|
420 |
"step": 2650
|
421 |
},
|
422 |
{
|
423 |
-
"epoch": 2.
|
424 |
-
"grad_norm": 2.
|
425 |
"learning_rate": 9.303e-06,
|
426 |
-
"loss": 0.
|
427 |
"step": 2700
|
428 |
},
|
429 |
{
|
430 |
-
"epoch": 2.
|
431 |
-
"grad_norm":
|
432 |
"learning_rate": 9.253000000000001e-06,
|
433 |
-
"loss": 0.
|
434 |
"step": 2750
|
435 |
},
|
436 |
{
|
437 |
-
"epoch": 2.
|
438 |
-
"grad_norm":
|
439 |
"learning_rate": 9.203000000000002e-06,
|
440 |
-
"loss": 0.
|
441 |
"step": 2800
|
442 |
},
|
443 |
{
|
444 |
-
"epoch": 2.
|
445 |
-
"grad_norm": 1.
|
446 |
"learning_rate": 9.153e-06,
|
447 |
-
"loss": 0.
|
448 |
"step": 2850
|
449 |
},
|
450 |
{
|
451 |
-
"epoch": 2.
|
452 |
-
"grad_norm":
|
453 |
"learning_rate": 9.103e-06,
|
454 |
-
"loss": 0.
|
455 |
"step": 2900
|
456 |
},
|
457 |
{
|
458 |
-
"epoch": 2.
|
459 |
-
"grad_norm": 1.
|
460 |
"learning_rate": 9.053000000000001e-06,
|
461 |
-
"loss": 0.
|
462 |
"step": 2950
|
463 |
},
|
464 |
{
|
465 |
-
"epoch": 2.
|
466 |
-
"grad_norm":
|
467 |
"learning_rate": 9.003e-06,
|
468 |
-
"loss": 0.
|
469 |
"step": 3000
|
470 |
},
|
471 |
{
|
472 |
-
"epoch": 2.
|
473 |
-
"eval_loss": 0.
|
474 |
-
"eval_runtime":
|
475 |
-
"eval_samples_per_second":
|
476 |
-
"eval_steps_per_second": 4.
|
477 |
"step": 3000
|
478 |
},
|
479 |
{
|
480 |
-
"epoch": 2.
|
481 |
-
"grad_norm":
|
482 |
"learning_rate": 8.953e-06,
|
483 |
-
"loss": 0.
|
484 |
"step": 3050
|
485 |
},
|
486 |
{
|
487 |
-
"epoch": 2.
|
488 |
-
"grad_norm": 1.
|
489 |
"learning_rate": 8.903000000000001e-06,
|
490 |
-
"loss": 0.
|
491 |
"step": 3100
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 2.
|
495 |
-
"grad_norm":
|
496 |
"learning_rate": 8.853e-06,
|
497 |
-
"loss": 0.
|
498 |
"step": 3150
|
499 |
},
|
500 |
{
|
501 |
-
"epoch": 2.
|
502 |
-
"grad_norm":
|
503 |
"learning_rate": 8.803e-06,
|
504 |
-
"loss": 0.
|
505 |
"step": 3200
|
506 |
},
|
507 |
{
|
508 |
-
"epoch": 2.
|
509 |
-
"grad_norm":
|
510 |
"learning_rate": 8.753e-06,
|
511 |
-
"loss": 0.
|
512 |
"step": 3250
|
513 |
},
|
514 |
{
|
515 |
-
"epoch": 2.
|
516 |
-
"grad_norm":
|
517 |
"learning_rate": 8.703e-06,
|
518 |
-
"loss": 0.
|
519 |
"step": 3300
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 2.
|
523 |
-
"grad_norm":
|
524 |
"learning_rate": 8.653e-06,
|
525 |
-
"loss": 0.
|
526 |
"step": 3350
|
527 |
},
|
528 |
{
|
529 |
-
"epoch": 2.
|
530 |
-
"grad_norm":
|
531 |
"learning_rate": 8.603e-06,
|
532 |
-
"loss": 0.
|
533 |
"step": 3400
|
534 |
},
|
535 |
{
|
536 |
-
"epoch": 2.
|
537 |
-
"grad_norm":
|
538 |
"learning_rate": 8.553000000000001e-06,
|
539 |
-
"loss": 0.
|
540 |
"step": 3450
|
541 |
},
|
542 |
{
|
543 |
-
"epoch": 2.
|
544 |
-
"grad_norm": 1.
|
545 |
"learning_rate": 8.503e-06,
|
546 |
-
"loss": 0.
|
547 |
"step": 3500
|
548 |
},
|
549 |
{
|
550 |
-
"epoch": 2.
|
551 |
-
"eval_loss": 0.
|
552 |
-
"eval_runtime":
|
553 |
-
"eval_samples_per_second":
|
554 |
-
"eval_steps_per_second": 4.
|
555 |
"step": 3500
|
556 |
},
|
557 |
{
|
558 |
-
"epoch": 2.
|
559 |
-
"grad_norm":
|
560 |
"learning_rate": 8.453000000000002e-06,
|
561 |
-
"loss": 0.
|
562 |
"step": 3550
|
563 |
},
|
564 |
{
|
565 |
-
"epoch": 3.
|
566 |
-
"grad_norm":
|
567 |
"learning_rate": 8.403e-06,
|
568 |
-
"loss": 0.
|
569 |
"step": 3600
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 3.
|
573 |
-
"grad_norm":
|
574 |
"learning_rate": 8.353000000000001e-06,
|
575 |
-
"loss": 0.
|
576 |
"step": 3650
|
577 |
},
|
578 |
{
|
579 |
-
"epoch": 3.
|
580 |
-
"grad_norm": 2.
|
581 |
"learning_rate": 8.303000000000002e-06,
|
582 |
-
"loss": 0.
|
583 |
"step": 3700
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 3.
|
587 |
-
"grad_norm":
|
588 |
"learning_rate": 8.253e-06,
|
589 |
-
"loss": 0.
|
590 |
"step": 3750
|
591 |
},
|
592 |
{
|
593 |
-
"epoch": 3.
|
594 |
-
"grad_norm":
|
595 |
"learning_rate": 8.203000000000001e-06,
|
596 |
-
"loss": 0.
|
597 |
"step": 3800
|
598 |
},
|
599 |
{
|
600 |
-
"epoch": 3.
|
601 |
-
"grad_norm":
|
602 |
"learning_rate": 8.153000000000001e-06,
|
603 |
-
"loss": 0.
|
604 |
"step": 3850
|
605 |
},
|
606 |
{
|
607 |
-
"epoch": 3.
|
608 |
-
"grad_norm": 1.
|
609 |
"learning_rate": 8.103e-06,
|
610 |
-
"loss": 0.
|
611 |
"step": 3900
|
612 |
},
|
613 |
{
|
614 |
-
"epoch": 3.
|
615 |
-
"grad_norm": 2.
|
616 |
"learning_rate": 8.053e-06,
|
617 |
-
"loss": 0.
|
618 |
"step": 3950
|
619 |
},
|
620 |
{
|
621 |
-
"epoch": 3.
|
622 |
-
"grad_norm": 1.
|
623 |
"learning_rate": 8.003000000000001e-06,
|
624 |
-
"loss": 0.
|
625 |
"step": 4000
|
626 |
},
|
627 |
{
|
628 |
-
"epoch": 3.
|
629 |
-
"eval_loss": 0.
|
630 |
-
"eval_runtime":
|
631 |
-
"eval_samples_per_second":
|
632 |
-
"eval_steps_per_second": 4.
|
633 |
"step": 4000
|
634 |
}
|
635 |
],
|
@@ -650,8 +650,8 @@
|
|
650 |
"attributes": {}
|
651 |
}
|
652 |
},
|
653 |
-
"total_flos": 3.
|
654 |
-
"train_batch_size":
|
655 |
"trial_name": null,
|
656 |
"trial_params": null
|
657 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.39415255188941956,
|
3 |
+
"best_model_checkpoint": "mikhail-panzo/zlm_b64_le5_s12000/checkpoint-4000",
|
4 |
+
"epoch": 3.3500837520938025,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 4000,
|
7 |
"is_hyper_param_search": false,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.04187604690117253,
|
13 |
+
"grad_norm": 4.788218975067139,
|
14 |
+
"learning_rate": 2.4500000000000004e-07,
|
15 |
+
"loss": 1.1819,
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.08375209380234507,
|
20 |
+
"grad_norm": 15.618935585021973,
|
21 |
+
"learning_rate": 4.95e-07,
|
22 |
+
"loss": 1.0042,
|
23 |
"step": 100
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.12562814070351758,
|
27 |
+
"grad_norm": 2.7821555137634277,
|
28 |
"learning_rate": 7.4e-07,
|
29 |
+
"loss": 0.9676,
|
30 |
"step": 150
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.16750418760469013,
|
34 |
+
"grad_norm": 3.759263038635254,
|
35 |
+
"learning_rate": 9.85e-07,
|
36 |
+
"loss": 0.9362,
|
37 |
"step": 200
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.20938023450586266,
|
41 |
+
"grad_norm": 3.906439781188965,
|
42 |
+
"learning_rate": 1.235e-06,
|
43 |
+
"loss": 0.8667,
|
44 |
"step": 250
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.25125628140703515,
|
48 |
+
"grad_norm": 4.397643566131592,
|
49 |
+
"learning_rate": 1.485e-06,
|
50 |
+
"loss": 0.8455,
|
51 |
"step": 300
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.2931323283082077,
|
55 |
+
"grad_norm": 2.94077467918396,
|
56 |
+
"learning_rate": 1.7350000000000001e-06,
|
57 |
+
"loss": 0.8376,
|
58 |
"step": 350
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 0.33500837520938026,
|
62 |
+
"grad_norm": 4.161074161529541,
|
63 |
+
"learning_rate": 1.985e-06,
|
64 |
+
"loss": 0.7521,
|
65 |
"step": 400
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.3768844221105528,
|
69 |
+
"grad_norm": 2.8088552951812744,
|
70 |
+
"learning_rate": 2.235e-06,
|
71 |
+
"loss": 0.7444,
|
72 |
"step": 450
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.4187604690117253,
|
76 |
+
"grad_norm": 2.62283992767334,
|
77 |
+
"learning_rate": 2.4850000000000003e-06,
|
78 |
+
"loss": 0.7129,
|
79 |
"step": 500
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.4187604690117253,
|
83 |
+
"eval_loss": 0.6066474914550781,
|
84 |
+
"eval_runtime": 213.4911,
|
85 |
+
"eval_samples_per_second": 39.763,
|
86 |
+
"eval_steps_per_second": 4.974,
|
87 |
"step": 500
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.46063651591289784,
|
91 |
+
"grad_norm": 3.654665946960449,
|
92 |
+
"learning_rate": 2.7350000000000005e-06,
|
93 |
+
"loss": 0.6772,
|
94 |
"step": 550
|
95 |
},
|
96 |
{
|
97 |
+
"epoch": 0.5025125628140703,
|
98 |
+
"grad_norm": 5.1851887702941895,
|
99 |
+
"learning_rate": 2.9850000000000002e-06,
|
100 |
+
"loss": 0.6552,
|
101 |
"step": 600
|
102 |
},
|
103 |
{
|
104 |
+
"epoch": 0.5443886097152428,
|
105 |
+
"grad_norm": 4.017187595367432,
|
106 |
+
"learning_rate": 3.2350000000000004e-06,
|
107 |
+
"loss": 0.6506,
|
108 |
"step": 650
|
109 |
},
|
110 |
{
|
111 |
+
"epoch": 0.5862646566164154,
|
112 |
+
"grad_norm": 2.1161563396453857,
|
113 |
+
"learning_rate": 3.485e-06,
|
114 |
+
"loss": 0.6301,
|
115 |
"step": 700
|
116 |
},
|
117 |
{
|
118 |
+
"epoch": 0.628140703517588,
|
119 |
+
"grad_norm": 1.857313871383667,
|
120 |
+
"learning_rate": 3.7350000000000002e-06,
|
121 |
+
"loss": 0.6373,
|
122 |
"step": 750
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 0.6700167504187605,
|
126 |
+
"grad_norm": 3.6841330528259277,
|
127 |
+
"learning_rate": 3.985000000000001e-06,
|
128 |
+
"loss": 0.6305,
|
129 |
"step": 800
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.711892797319933,
|
133 |
+
"grad_norm": 2.6450912952423096,
|
134 |
+
"learning_rate": 4.235e-06,
|
135 |
+
"loss": 0.6169,
|
136 |
"step": 850
|
137 |
},
|
138 |
{
|
139 |
+
"epoch": 0.7537688442211056,
|
140 |
+
"grad_norm": 1.7241184711456299,
|
141 |
+
"learning_rate": 4.485e-06,
|
142 |
+
"loss": 0.5933,
|
143 |
"step": 900
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 0.7956448911222781,
|
147 |
+
"grad_norm": 2.602735996246338,
|
148 |
+
"learning_rate": 4.735e-06,
|
149 |
+
"loss": 0.583,
|
150 |
"step": 950
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 0.8375209380234506,
|
154 |
+
"grad_norm": 12.419028282165527,
|
155 |
+
"learning_rate": 4.9850000000000006e-06,
|
156 |
+
"loss": 0.5922,
|
157 |
"step": 1000
|
158 |
},
|
159 |
{
|
160 |
+
"epoch": 0.8375209380234506,
|
161 |
+
"eval_loss": 0.4979843497276306,
|
162 |
+
"eval_runtime": 214.0502,
|
163 |
+
"eval_samples_per_second": 39.659,
|
164 |
+
"eval_steps_per_second": 4.961,
|
165 |
"step": 1000
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 0.8793969849246231,
|
169 |
+
"grad_norm": 3.200178861618042,
|
170 |
+
"learning_rate": 5.235e-06,
|
171 |
+
"loss": 0.5678,
|
172 |
"step": 1050
|
173 |
},
|
174 |
{
|
175 |
+
"epoch": 0.9212730318257957,
|
176 |
+
"grad_norm": 2.458869218826294,
|
177 |
"learning_rate": 5.485e-06,
|
178 |
+
"loss": 0.5558,
|
179 |
"step": 1100
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 0.9631490787269682,
|
183 |
+
"grad_norm": 2.341752290725708,
|
184 |
"learning_rate": 5.735e-06,
|
185 |
+
"loss": 0.5666,
|
186 |
"step": 1150
|
187 |
},
|
188 |
{
|
189 |
+
"epoch": 1.0050251256281406,
|
190 |
+
"grad_norm": 2.9191603660583496,
|
191 |
"learning_rate": 5.985000000000001e-06,
|
192 |
+
"loss": 0.5345,
|
193 |
"step": 1200
|
194 |
},
|
195 |
{
|
196 |
+
"epoch": 1.0469011725293131,
|
197 |
+
"grad_norm": 2.68806529045105,
|
198 |
"learning_rate": 6.235000000000001e-06,
|
199 |
+
"loss": 0.5653,
|
200 |
"step": 1250
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 1.0887772194304857,
|
204 |
+
"grad_norm": 3.278820276260376,
|
205 |
"learning_rate": 6.485000000000001e-06,
|
206 |
+
"loss": 0.5565,
|
207 |
"step": 1300
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 1.1306532663316582,
|
211 |
+
"grad_norm": 3.066511869430542,
|
212 |
"learning_rate": 6.735000000000001e-06,
|
213 |
+
"loss": 0.5644,
|
214 |
"step": 1350
|
215 |
},
|
216 |
{
|
217 |
+
"epoch": 1.1725293132328307,
|
218 |
+
"grad_norm": 4.269862651824951,
|
219 |
"learning_rate": 6.985000000000001e-06,
|
220 |
+
"loss": 0.5356,
|
221 |
"step": 1400
|
222 |
},
|
223 |
{
|
224 |
+
"epoch": 1.2144053601340032,
|
225 |
+
"grad_norm": 3.6681156158447266,
|
226 |
"learning_rate": 7.235000000000001e-06,
|
227 |
+
"loss": 0.5246,
|
228 |
"step": 1450
|
229 |
},
|
230 |
{
|
231 |
+
"epoch": 1.2562814070351758,
|
232 |
+
"grad_norm": 3.1227505207061768,
|
233 |
"learning_rate": 7.485000000000001e-06,
|
234 |
+
"loss": 0.5168,
|
235 |
"step": 1500
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 1.2562814070351758,
|
239 |
+
"eval_loss": 0.45785218477249146,
|
240 |
+
"eval_runtime": 211.6749,
|
241 |
+
"eval_samples_per_second": 40.104,
|
242 |
+
"eval_steps_per_second": 5.017,
|
243 |
"step": 1500
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 1.2981574539363483,
|
247 |
+
"grad_norm": 2.6239662170410156,
|
248 |
"learning_rate": 7.735e-06,
|
249 |
+
"loss": 0.5153,
|
250 |
"step": 1550
|
251 |
},
|
252 |
{
|
253 |
+
"epoch": 1.3400335008375208,
|
254 |
+
"grad_norm": 2.881901979446411,
|
255 |
"learning_rate": 7.985e-06,
|
256 |
+
"loss": 0.518,
|
257 |
"step": 1600
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 1.3819095477386933,
|
261 |
+
"grad_norm": 2.8052310943603516,
|
262 |
"learning_rate": 8.235e-06,
|
263 |
+
"loss": 0.5272,
|
264 |
"step": 1650
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 1.4237855946398659,
|
268 |
+
"grad_norm": 2.6334052085876465,
|
269 |
"learning_rate": 8.485000000000001e-06,
|
270 |
+
"loss": 0.5188,
|
271 |
"step": 1700
|
272 |
},
|
273 |
{
|
274 |
+
"epoch": 1.4656616415410384,
|
275 |
+
"grad_norm": 3.038274049758911,
|
276 |
"learning_rate": 8.735000000000002e-06,
|
277 |
+
"loss": 0.5139,
|
278 |
"step": 1750
|
279 |
},
|
280 |
{
|
281 |
+
"epoch": 1.507537688442211,
|
282 |
+
"grad_norm": 3.2438852787017822,
|
283 |
"learning_rate": 8.985000000000001e-06,
|
284 |
+
"loss": 0.5092,
|
285 |
"step": 1800
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 1.5494137353433834,
|
289 |
+
"grad_norm": 4.168883800506592,
|
290 |
"learning_rate": 9.235e-06,
|
291 |
+
"loss": 0.5103,
|
292 |
"step": 1850
|
293 |
},
|
294 |
{
|
295 |
+
"epoch": 1.591289782244556,
|
296 |
+
"grad_norm": 2.6399967670440674,
|
297 |
"learning_rate": 9.485000000000002e-06,
|
298 |
+
"loss": 0.5025,
|
299 |
"step": 1900
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 1.6331658291457285,
|
303 |
+
"grad_norm": 1.6828950643539429,
|
304 |
"learning_rate": 9.735e-06,
|
305 |
+
"loss": 0.4963,
|
306 |
"step": 1950
|
307 |
},
|
308 |
{
|
309 |
+
"epoch": 1.675041876046901,
|
310 |
+
"grad_norm": 1.8955535888671875,
|
311 |
"learning_rate": 9.985000000000002e-06,
|
312 |
+
"loss": 0.4954,
|
313 |
"step": 2000
|
314 |
},
|
315 |
{
|
316 |
+
"epoch": 1.675041876046901,
|
317 |
+
"eval_loss": 0.43827974796295166,
|
318 |
+
"eval_runtime": 212.1455,
|
319 |
+
"eval_samples_per_second": 40.015,
|
320 |
+
"eval_steps_per_second": 5.006,
|
321 |
"step": 2000
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 1.7169179229480735,
|
325 |
+
"grad_norm": 3.9634511470794678,
|
326 |
"learning_rate": 9.953000000000001e-06,
|
327 |
+
"loss": 0.4891,
|
328 |
"step": 2050
|
329 |
},
|
330 |
{
|
331 |
+
"epoch": 1.758793969849246,
|
332 |
+
"grad_norm": 3.5446126461029053,
|
333 |
"learning_rate": 9.903e-06,
|
334 |
+
"loss": 0.5141,
|
335 |
"step": 2100
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 1.8006700167504186,
|
339 |
+
"grad_norm": 3.1621015071868896,
|
340 |
"learning_rate": 9.853e-06,
|
341 |
+
"loss": 0.4941,
|
342 |
"step": 2150
|
343 |
},
|
344 |
{
|
345 |
+
"epoch": 1.8425460636515911,
|
346 |
+
"grad_norm": 2.6622440814971924,
|
347 |
"learning_rate": 9.803e-06,
|
348 |
+
"loss": 0.4979,
|
349 |
"step": 2200
|
350 |
},
|
351 |
{
|
352 |
+
"epoch": 1.8844221105527639,
|
353 |
+
"grad_norm": 1.7774969339370728,
|
354 |
"learning_rate": 9.753e-06,
|
355 |
+
"loss": 0.4768,
|
356 |
"step": 2250
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 1.9262981574539364,
|
360 |
+
"grad_norm": 2.1141610145568848,
|
361 |
"learning_rate": 9.703000000000002e-06,
|
362 |
+
"loss": 0.4834,
|
363 |
"step": 2300
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 1.968174204355109,
|
367 |
+
"grad_norm": 3.4576170444488525,
|
368 |
"learning_rate": 9.653e-06,
|
369 |
+
"loss": 0.493,
|
370 |
"step": 2350
|
371 |
},
|
372 |
{
|
373 |
+
"epoch": 2.0100502512562812,
|
374 |
+
"grad_norm": 2.4238383769989014,
|
375 |
"learning_rate": 9.603000000000001e-06,
|
376 |
+
"loss": 0.4836,
|
377 |
"step": 2400
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 2.0519262981574538,
|
381 |
+
"grad_norm": 2.2526774406433105,
|
382 |
"learning_rate": 9.553000000000002e-06,
|
383 |
+
"loss": 0.4832,
|
384 |
"step": 2450
|
385 |
},
|
386 |
{
|
387 |
+
"epoch": 2.0938023450586263,
|
388 |
+
"grad_norm": 2.8719518184661865,
|
389 |
"learning_rate": 9.503e-06,
|
390 |
+
"loss": 0.4836,
|
391 |
"step": 2500
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 2.0938023450586263,
|
395 |
+
"eval_loss": 0.4208170473575592,
|
396 |
+
"eval_runtime": 214.437,
|
397 |
+
"eval_samples_per_second": 39.587,
|
398 |
+
"eval_steps_per_second": 4.953,
|
399 |
"step": 2500
|
400 |
},
|
401 |
{
|
402 |
+
"epoch": 2.135678391959799,
|
403 |
+
"grad_norm": 3.2671754360198975,
|
404 |
"learning_rate": 9.453e-06,
|
405 |
+
"loss": 0.4775,
|
406 |
"step": 2550
|
407 |
},
|
408 |
{
|
409 |
+
"epoch": 2.1775544388609713,
|
410 |
+
"grad_norm": 2.454883337020874,
|
411 |
"learning_rate": 9.403000000000001e-06,
|
412 |
+
"loss": 0.4777,
|
413 |
"step": 2600
|
414 |
},
|
415 |
{
|
416 |
+
"epoch": 2.219430485762144,
|
417 |
+
"grad_norm": 2.901097297668457,
|
418 |
"learning_rate": 9.353000000000002e-06,
|
419 |
+
"loss": 0.4757,
|
420 |
"step": 2650
|
421 |
},
|
422 |
{
|
423 |
+
"epoch": 2.2613065326633164,
|
424 |
+
"grad_norm": 2.980057954788208,
|
425 |
"learning_rate": 9.303e-06,
|
426 |
+
"loss": 0.4644,
|
427 |
"step": 2700
|
428 |
},
|
429 |
{
|
430 |
+
"epoch": 2.3031825795644894,
|
431 |
+
"grad_norm": 1.7162193059921265,
|
432 |
"learning_rate": 9.253000000000001e-06,
|
433 |
+
"loss": 0.4714,
|
434 |
"step": 2750
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 2.3450586264656614,
|
438 |
+
"grad_norm": 2.912874937057495,
|
439 |
"learning_rate": 9.203000000000002e-06,
|
440 |
+
"loss": 0.4596,
|
441 |
"step": 2800
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 2.3869346733668344,
|
445 |
+
"grad_norm": 1.7781060934066772,
|
446 |
"learning_rate": 9.153e-06,
|
447 |
+
"loss": 0.4591,
|
448 |
"step": 2850
|
449 |
},
|
450 |
{
|
451 |
+
"epoch": 2.4288107202680065,
|
452 |
+
"grad_norm": 5.2557902336120605,
|
453 |
"learning_rate": 9.103e-06,
|
454 |
+
"loss": 0.4652,
|
455 |
"step": 2900
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 2.4706867671691795,
|
459 |
+
"grad_norm": 1.7230316400527954,
|
460 |
"learning_rate": 9.053000000000001e-06,
|
461 |
+
"loss": 0.46,
|
462 |
"step": 2950
|
463 |
},
|
464 |
{
|
465 |
+
"epoch": 2.5125628140703515,
|
466 |
+
"grad_norm": 4.071449279785156,
|
467 |
"learning_rate": 9.003e-06,
|
468 |
+
"loss": 0.4623,
|
469 |
"step": 3000
|
470 |
},
|
471 |
{
|
472 |
+
"epoch": 2.5125628140703515,
|
473 |
+
"eval_loss": 0.4098353981971741,
|
474 |
+
"eval_runtime": 214.5603,
|
475 |
+
"eval_samples_per_second": 39.565,
|
476 |
+
"eval_steps_per_second": 4.95,
|
477 |
"step": 3000
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 2.5544388609715245,
|
481 |
+
"grad_norm": 3.5458014011383057,
|
482 |
"learning_rate": 8.953e-06,
|
483 |
+
"loss": 0.4488,
|
484 |
"step": 3050
|
485 |
},
|
486 |
{
|
487 |
+
"epoch": 2.5963149078726966,
|
488 |
+
"grad_norm": 1.726624846458435,
|
489 |
"learning_rate": 8.903000000000001e-06,
|
490 |
+
"loss": 0.4536,
|
491 |
"step": 3100
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 2.6381909547738696,
|
495 |
+
"grad_norm": 3.204106092453003,
|
496 |
"learning_rate": 8.853e-06,
|
497 |
+
"loss": 0.4654,
|
498 |
"step": 3150
|
499 |
},
|
500 |
{
|
501 |
+
"epoch": 2.6800670016750416,
|
502 |
+
"grad_norm": 2.245302677154541,
|
503 |
"learning_rate": 8.803e-06,
|
504 |
+
"loss": 0.462,
|
505 |
"step": 3200
|
506 |
},
|
507 |
{
|
508 |
+
"epoch": 2.7219430485762146,
|
509 |
+
"grad_norm": 2.0797626972198486,
|
510 |
"learning_rate": 8.753e-06,
|
511 |
+
"loss": 0.4599,
|
512 |
"step": 3250
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 2.7638190954773867,
|
516 |
+
"grad_norm": 1.9437323808670044,
|
517 |
"learning_rate": 8.703e-06,
|
518 |
+
"loss": 0.4473,
|
519 |
"step": 3300
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 2.8056951423785597,
|
523 |
+
"grad_norm": 2.5299806594848633,
|
524 |
"learning_rate": 8.653e-06,
|
525 |
+
"loss": 0.4442,
|
526 |
"step": 3350
|
527 |
},
|
528 |
{
|
529 |
+
"epoch": 2.8475711892797317,
|
530 |
+
"grad_norm": 3.208460807800293,
|
531 |
"learning_rate": 8.603e-06,
|
532 |
+
"loss": 0.4553,
|
533 |
"step": 3400
|
534 |
},
|
535 |
{
|
536 |
+
"epoch": 2.8894472361809047,
|
537 |
+
"grad_norm": 2.703047037124634,
|
538 |
"learning_rate": 8.553000000000001e-06,
|
539 |
+
"loss": 0.4532,
|
540 |
"step": 3450
|
541 |
},
|
542 |
{
|
543 |
+
"epoch": 2.931323283082077,
|
544 |
+
"grad_norm": 1.9532470703125,
|
545 |
"learning_rate": 8.503e-06,
|
546 |
+
"loss": 0.4499,
|
547 |
"step": 3500
|
548 |
},
|
549 |
{
|
550 |
+
"epoch": 2.931323283082077,
|
551 |
+
"eval_loss": 0.4003259837627411,
|
552 |
+
"eval_runtime": 213.8518,
|
553 |
+
"eval_samples_per_second": 39.696,
|
554 |
+
"eval_steps_per_second": 4.966,
|
555 |
"step": 3500
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 2.9731993299832498,
|
559 |
+
"grad_norm": 1.9028701782226562,
|
560 |
"learning_rate": 8.453000000000002e-06,
|
561 |
+
"loss": 0.4391,
|
562 |
"step": 3550
|
563 |
},
|
564 |
{
|
565 |
+
"epoch": 3.0150753768844223,
|
566 |
+
"grad_norm": 10.080265045166016,
|
567 |
"learning_rate": 8.403e-06,
|
568 |
+
"loss": 0.4462,
|
569 |
"step": 3600
|
570 |
},
|
571 |
{
|
572 |
+
"epoch": 3.056951423785595,
|
573 |
+
"grad_norm": 2.996328115463257,
|
574 |
"learning_rate": 8.353000000000001e-06,
|
575 |
+
"loss": 0.45,
|
576 |
"step": 3650
|
577 |
},
|
578 |
{
|
579 |
+
"epoch": 3.0988274706867673,
|
580 |
+
"grad_norm": 2.221226930618286,
|
581 |
"learning_rate": 8.303000000000002e-06,
|
582 |
+
"loss": 0.4469,
|
583 |
"step": 3700
|
584 |
},
|
585 |
{
|
586 |
+
"epoch": 3.14070351758794,
|
587 |
+
"grad_norm": 2.961524248123169,
|
588 |
"learning_rate": 8.253e-06,
|
589 |
+
"loss": 0.4535,
|
590 |
"step": 3750
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 3.1825795644891124,
|
594 |
+
"grad_norm": 2.487060785293579,
|
595 |
"learning_rate": 8.203000000000001e-06,
|
596 |
+
"loss": 0.4444,
|
597 |
"step": 3800
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 3.224455611390285,
|
601 |
+
"grad_norm": 1.5449366569519043,
|
602 |
"learning_rate": 8.153000000000001e-06,
|
603 |
+
"loss": 0.449,
|
604 |
"step": 3850
|
605 |
},
|
606 |
{
|
607 |
+
"epoch": 3.2663316582914574,
|
608 |
+
"grad_norm": 1.6193325519561768,
|
609 |
"learning_rate": 8.103e-06,
|
610 |
+
"loss": 0.4423,
|
611 |
"step": 3900
|
612 |
},
|
613 |
{
|
614 |
+
"epoch": 3.30820770519263,
|
615 |
+
"grad_norm": 2.442594528198242,
|
616 |
"learning_rate": 8.053e-06,
|
617 |
+
"loss": 0.4456,
|
618 |
"step": 3950
|
619 |
},
|
620 |
{
|
621 |
+
"epoch": 3.3500837520938025,
|
622 |
+
"grad_norm": 1.759829044342041,
|
623 |
"learning_rate": 8.003000000000001e-06,
|
624 |
+
"loss": 0.4421,
|
625 |
"step": 4000
|
626 |
},
|
627 |
{
|
628 |
+
"epoch": 3.3500837520938025,
|
629 |
+
"eval_loss": 0.39415255188941956,
|
630 |
+
"eval_runtime": 212.9896,
|
631 |
+
"eval_samples_per_second": 39.856,
|
632 |
+
"eval_steps_per_second": 4.986,
|
633 |
"step": 4000
|
634 |
}
|
635 |
],
|
|
|
650 |
"attributes": {}
|
651 |
}
|
652 |
},
|
653 |
+
"total_flos": 3.895851451089946e+16,
|
654 |
+
"train_batch_size": 32,
|
655 |
"trial_name": null,
|
656 |
"trial_params": null
|
657 |
}
|
checkpoint-4000/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f4687cdb2b9124db8f1d7d7525bb9403c3df24fb82ca7d74640c10781e1e94be
|
3 |
size 5304
|