winnieyangwannan
commited on
Training in progress, step 1000, checkpoint
Browse files
checkpoint-1000/adapter_config.json
CHANGED
@@ -23,13 +23,13 @@
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
26 |
-
"v_proj",
|
27 |
-
"q_proj",
|
28 |
-
"gate_proj",
|
29 |
"up_proj",
|
30 |
"o_proj",
|
|
|
|
|
|
|
31 |
"k_proj",
|
32 |
-
"
|
33 |
],
|
34 |
"task_type": "CAUSAL_LM",
|
35 |
"use_dora": false,
|
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
|
|
|
|
|
|
26 |
"up_proj",
|
27 |
"o_proj",
|
28 |
+
"v_proj",
|
29 |
+
"q_proj",
|
30 |
+
"down_proj",
|
31 |
"k_proj",
|
32 |
+
"gate_proj"
|
33 |
],
|
34 |
"task_type": "CAUSAL_LM",
|
35 |
"use_dora": false,
|
checkpoint-1000/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 167832240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca2fbc0de1ddd6cdcc0f3af5b3cea0c60982f30dfe965cedd0198507967f6f53
|
3 |
size 167832240
|
checkpoint-1000/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 335922386
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d38c5dd7707d5504342d29af7f7d13e9d968dffa067c57f9fdc6810c9a4844bc
|
3 |
size 335922386
|
checkpoint-1000/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:caf5eb0f8b4337d3437e40adf208c1d7c7b24a10a44fa468c81b7392787ce5e6
|
3 |
size 14244
|
checkpoint-1000/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c62d463cd6e09308d2c258a8ad1549530ee566430c83f5e898ae0b5a65d39a8
|
3 |
size 1064
|
checkpoint-1000/trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 1.
|
5 |
"eval_steps": 50,
|
6 |
"global_step": 1000,
|
7 |
"is_hyper_param_search": false,
|
@@ -9,868 +9,868 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate": 4.
|
15 |
-
"loss": 1.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate": 4.
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm": 1.
|
28 |
-
"learning_rate": 4.
|
29 |
-
"loss": 0.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm": 0.
|
35 |
-
"learning_rate": 4.
|
36 |
-
"loss": 0.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm": 0.
|
42 |
-
"learning_rate": 4.
|
43 |
-
"loss": 0.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"eval_loss": 0.
|
49 |
-
"eval_runtime": 13.
|
50 |
-
"eval_samples_per_second": 35.
|
51 |
-
"eval_steps_per_second": 2.
|
52 |
"step": 50
|
53 |
},
|
54 |
{
|
55 |
-
"epoch": 0.
|
56 |
-
"grad_norm": 0.
|
57 |
-
"learning_rate": 4.
|
58 |
-
"loss": 0.
|
59 |
"step": 60
|
60 |
},
|
61 |
{
|
62 |
-
"epoch": 0.
|
63 |
-
"grad_norm": 0.
|
64 |
-
"learning_rate": 4.
|
65 |
-
"loss": 0.
|
66 |
"step": 70
|
67 |
},
|
68 |
{
|
69 |
-
"epoch": 0.
|
70 |
-
"grad_norm": 0.
|
71 |
-
"learning_rate": 4.
|
72 |
-
"loss": 0.
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
-
"epoch": 0.
|
77 |
-
"grad_norm": 0.
|
78 |
-
"learning_rate": 4.
|
79 |
-
"loss": 0.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
-
"epoch": 0.
|
84 |
-
"grad_norm": 0.
|
85 |
-
"learning_rate": 4.
|
86 |
-
"loss": 0.
|
87 |
"step": 100
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
-
"eval_loss": 0.
|
92 |
-
"eval_runtime": 13.
|
93 |
-
"eval_samples_per_second": 35.
|
94 |
-
"eval_steps_per_second": 2.
|
95 |
"step": 100
|
96 |
},
|
97 |
{
|
98 |
-
"epoch": 0.
|
99 |
-
"grad_norm": 0.
|
100 |
-
"learning_rate": 4.
|
101 |
-
"loss": 0.
|
102 |
"step": 110
|
103 |
},
|
104 |
{
|
105 |
-
"epoch": 0.
|
106 |
-
"grad_norm": 0.
|
107 |
-
"learning_rate": 4.
|
108 |
-
"loss": 0.
|
109 |
"step": 120
|
110 |
},
|
111 |
{
|
112 |
-
"epoch": 0.
|
113 |
-
"grad_norm": 0.
|
114 |
-
"learning_rate": 4.
|
115 |
-
"loss": 0.
|
116 |
"step": 130
|
117 |
},
|
118 |
{
|
119 |
-
"epoch": 0.
|
120 |
-
"grad_norm": 0.
|
121 |
-
"learning_rate": 4.
|
122 |
-
"loss": 0.
|
123 |
"step": 140
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
-
"grad_norm": 0.
|
128 |
-
"learning_rate": 4.
|
129 |
-
"loss": 0.
|
130 |
"step": 150
|
131 |
},
|
132 |
{
|
133 |
-
"epoch": 0.
|
134 |
-
"eval_loss": 0.
|
135 |
-
"eval_runtime": 13.
|
136 |
-
"eval_samples_per_second": 35.
|
137 |
-
"eval_steps_per_second": 2.
|
138 |
"step": 150
|
139 |
},
|
140 |
{
|
141 |
-
"epoch": 0.
|
142 |
-
"grad_norm": 0.
|
143 |
-
"learning_rate": 4.
|
144 |
-
"loss": 0.
|
145 |
"step": 160
|
146 |
},
|
147 |
{
|
148 |
-
"epoch": 0.
|
149 |
-
"grad_norm": 0.
|
150 |
-
"learning_rate": 4.
|
151 |
-
"loss": 0.
|
152 |
"step": 170
|
153 |
},
|
154 |
{
|
155 |
-
"epoch": 0.
|
156 |
-
"grad_norm": 0.
|
157 |
-
"learning_rate": 4.
|
158 |
-
"loss": 0.
|
159 |
"step": 180
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm": 0.
|
164 |
-
"learning_rate": 4.
|
165 |
-
"loss": 0.
|
166 |
"step": 190
|
167 |
},
|
168 |
{
|
169 |
-
"epoch": 0.
|
170 |
-
"grad_norm": 0.
|
171 |
-
"learning_rate": 4.
|
172 |
-
"loss": 0.
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
-
"epoch": 0.
|
177 |
-
"eval_loss": 0.
|
178 |
-
"eval_runtime": 13.
|
179 |
-
"eval_samples_per_second": 35.
|
180 |
-
"eval_steps_per_second": 2.
|
181 |
"step": 200
|
182 |
},
|
183 |
{
|
184 |
-
"epoch": 0.
|
185 |
-
"grad_norm": 0.
|
186 |
-
"learning_rate": 4.
|
187 |
-
"loss": 0.
|
188 |
"step": 210
|
189 |
},
|
190 |
{
|
191 |
-
"epoch": 0.
|
192 |
-
"grad_norm": 0.
|
193 |
-
"learning_rate": 4.
|
194 |
-
"loss": 0.
|
195 |
"step": 220
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
-
"grad_norm": 0.
|
200 |
-
"learning_rate": 4.
|
201 |
-
"loss": 0.
|
202 |
"step": 230
|
203 |
},
|
204 |
{
|
205 |
-
"epoch": 0.
|
206 |
-
"grad_norm": 0.
|
207 |
-
"learning_rate": 4.
|
208 |
-
"loss": 0.
|
209 |
"step": 240
|
210 |
},
|
211 |
{
|
212 |
-
"epoch": 0.
|
213 |
-
"grad_norm": 0.
|
214 |
-
"learning_rate": 4.
|
215 |
-
"loss": 0.
|
216 |
"step": 250
|
217 |
},
|
218 |
{
|
219 |
-
"epoch": 0.
|
220 |
-
"eval_loss": 0.
|
221 |
-
"eval_runtime": 13.
|
222 |
-
"eval_samples_per_second": 35.
|
223 |
-
"eval_steps_per_second": 2.
|
224 |
"step": 250
|
225 |
},
|
226 |
{
|
227 |
-
"epoch": 0.
|
228 |
-
"grad_norm": 0.
|
229 |
-
"learning_rate": 4.
|
230 |
-
"loss": 0.
|
231 |
"step": 260
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 0.
|
235 |
-
"grad_norm": 0.
|
236 |
-
"learning_rate": 4.
|
237 |
-
"loss": 0.
|
238 |
"step": 270
|
239 |
},
|
240 |
{
|
241 |
-
"epoch": 0.
|
242 |
-
"grad_norm": 0.
|
243 |
-
"learning_rate": 4.
|
244 |
-
"loss": 0.
|
245 |
"step": 280
|
246 |
},
|
247 |
{
|
248 |
-
"epoch": 0.
|
249 |
-
"grad_norm": 0.
|
250 |
-
"learning_rate": 4.
|
251 |
-
"loss": 0.
|
252 |
"step": 290
|
253 |
},
|
254 |
{
|
255 |
-
"epoch": 0.
|
256 |
-
"grad_norm": 0.
|
257 |
-
"learning_rate": 4.
|
258 |
-
"loss": 0.
|
259 |
"step": 300
|
260 |
},
|
261 |
{
|
262 |
-
"epoch": 0.
|
263 |
-
"eval_loss": 0.
|
264 |
-
"eval_runtime": 13.
|
265 |
-
"eval_samples_per_second": 35.
|
266 |
-
"eval_steps_per_second": 2.
|
267 |
"step": 300
|
268 |
},
|
269 |
{
|
270 |
-
"epoch": 0.
|
271 |
-
"grad_norm": 0.
|
272 |
-
"learning_rate": 4.
|
273 |
-
"loss": 0.
|
274 |
"step": 310
|
275 |
},
|
276 |
{
|
277 |
-
"epoch": 0.
|
278 |
-
"grad_norm": 0.
|
279 |
-
"learning_rate": 4.
|
280 |
-
"loss": 0.
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
-
"epoch": 0.
|
285 |
-
"grad_norm": 0.
|
286 |
-
"learning_rate": 4.
|
287 |
-
"loss": 0.
|
288 |
"step": 330
|
289 |
},
|
290 |
{
|
291 |
-
"epoch": 0.
|
292 |
-
"grad_norm": 0.
|
293 |
-
"learning_rate": 4.
|
294 |
-
"loss": 0.
|
295 |
"step": 340
|
296 |
},
|
297 |
{
|
298 |
-
"epoch": 0.
|
299 |
-
"grad_norm": 0.
|
300 |
-
"learning_rate": 4.
|
301 |
-
"loss": 0.
|
302 |
"step": 350
|
303 |
},
|
304 |
{
|
305 |
-
"epoch": 0.
|
306 |
-
"eval_loss": 0.
|
307 |
-
"eval_runtime": 13.
|
308 |
-
"eval_samples_per_second": 35.
|
309 |
-
"eval_steps_per_second": 2.
|
310 |
"step": 350
|
311 |
},
|
312 |
{
|
313 |
-
"epoch": 0.
|
314 |
-
"grad_norm": 0.
|
315 |
-
"learning_rate": 4.
|
316 |
-
"loss": 0.
|
317 |
"step": 360
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 0.
|
321 |
-
"grad_norm": 0.
|
322 |
-
"learning_rate": 4.
|
323 |
-
"loss": 0.
|
324 |
"step": 370
|
325 |
},
|
326 |
{
|
327 |
-
"epoch": 0.
|
328 |
-
"grad_norm": 0.
|
329 |
-
"learning_rate": 4.
|
330 |
-
"loss": 0.
|
331 |
"step": 380
|
332 |
},
|
333 |
{
|
334 |
-
"epoch": 0.
|
335 |
-
"grad_norm": 0.
|
336 |
-
"learning_rate": 4.
|
337 |
-
"loss": 0.
|
338 |
"step": 390
|
339 |
},
|
340 |
{
|
341 |
-
"epoch": 0.
|
342 |
-
"grad_norm": 0.
|
343 |
-
"learning_rate": 4.
|
344 |
-
"loss": 0.
|
345 |
"step": 400
|
346 |
},
|
347 |
{
|
348 |
-
"epoch": 0.
|
349 |
-
"eval_loss": 0.
|
350 |
-
"eval_runtime": 13.
|
351 |
-
"eval_samples_per_second": 35.
|
352 |
-
"eval_steps_per_second": 2.
|
353 |
"step": 400
|
354 |
},
|
355 |
{
|
356 |
-
"epoch": 0.
|
357 |
-
"grad_norm": 0.
|
358 |
-
"learning_rate": 4.
|
359 |
-
"loss": 0.
|
360 |
"step": 410
|
361 |
},
|
362 |
{
|
363 |
-
"epoch": 0.
|
364 |
-
"grad_norm": 0.
|
365 |
-
"learning_rate": 4.
|
366 |
-
"loss": 0.
|
367 |
"step": 420
|
368 |
},
|
369 |
{
|
370 |
-
"epoch": 0.
|
371 |
-
"grad_norm": 0.
|
372 |
-
"learning_rate": 4.
|
373 |
-
"loss": 0.
|
374 |
"step": 430
|
375 |
},
|
376 |
{
|
377 |
-
"epoch": 0.
|
378 |
-
"grad_norm": 0.
|
379 |
-
"learning_rate": 4.
|
380 |
-
"loss": 0.
|
381 |
"step": 440
|
382 |
},
|
383 |
{
|
384 |
-
"epoch": 0.
|
385 |
-
"grad_norm": 0.
|
386 |
-
"learning_rate": 4.
|
387 |
-
"loss": 0.
|
388 |
"step": 450
|
389 |
},
|
390 |
{
|
391 |
-
"epoch": 0.
|
392 |
-
"eval_loss": 0.
|
393 |
-
"eval_runtime": 13.
|
394 |
-
"eval_samples_per_second": 35.
|
395 |
-
"eval_steps_per_second": 2.
|
396 |
"step": 450
|
397 |
},
|
398 |
{
|
399 |
-
"epoch": 0.
|
400 |
-
"grad_norm": 0.
|
401 |
-
"learning_rate": 4.
|
402 |
-
"loss": 0.
|
403 |
"step": 460
|
404 |
},
|
405 |
{
|
406 |
-
"epoch": 0.
|
407 |
-
"grad_norm": 0.
|
408 |
-
"learning_rate": 4.
|
409 |
-
"loss": 0.
|
410 |
"step": 470
|
411 |
},
|
412 |
{
|
413 |
-
"epoch": 0.
|
414 |
-
"grad_norm": 0.
|
415 |
-
"learning_rate": 4.
|
416 |
-
"loss": 0.
|
417 |
"step": 480
|
418 |
},
|
419 |
{
|
420 |
-
"epoch": 0.
|
421 |
-
"grad_norm": 0.
|
422 |
-
"learning_rate": 4.
|
423 |
-
"loss": 0.
|
424 |
"step": 490
|
425 |
},
|
426 |
{
|
427 |
-
"epoch": 0.
|
428 |
-
"grad_norm": 0.
|
429 |
-
"learning_rate": 4.
|
430 |
-
"loss": 0.
|
431 |
"step": 500
|
432 |
},
|
433 |
{
|
434 |
-
"epoch": 0.
|
435 |
-
"eval_loss": 0.
|
436 |
-
"eval_runtime": 13.
|
437 |
-
"eval_samples_per_second": 35.
|
438 |
-
"eval_steps_per_second": 2.
|
439 |
"step": 500
|
440 |
},
|
441 |
{
|
442 |
-
"epoch": 0.
|
443 |
-
"grad_norm": 0.
|
444 |
-
"learning_rate": 4.
|
445 |
-
"loss": 0.
|
446 |
"step": 510
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 0.
|
450 |
-
"grad_norm": 0.
|
451 |
-
"learning_rate": 4.
|
452 |
-
"loss": 0.
|
453 |
"step": 520
|
454 |
},
|
455 |
{
|
456 |
-
"epoch": 0.
|
457 |
-
"grad_norm": 0.
|
458 |
-
"learning_rate": 4.
|
459 |
-
"loss": 0.
|
460 |
"step": 530
|
461 |
},
|
462 |
{
|
463 |
-
"epoch": 0.
|
464 |
-
"grad_norm": 0.
|
465 |
-
"learning_rate": 4.
|
466 |
-
"loss": 0.
|
467 |
"step": 540
|
468 |
},
|
469 |
{
|
470 |
-
"epoch": 0.
|
471 |
-
"grad_norm": 0.
|
472 |
-
"learning_rate": 4.
|
473 |
-
"loss": 0.
|
474 |
"step": 550
|
475 |
},
|
476 |
{
|
477 |
-
"epoch": 0.
|
478 |
-
"eval_loss": 0.
|
479 |
-
"eval_runtime": 13.
|
480 |
-
"eval_samples_per_second": 35.
|
481 |
-
"eval_steps_per_second": 2.
|
482 |
"step": 550
|
483 |
},
|
484 |
{
|
485 |
-
"epoch": 0.
|
486 |
-
"grad_norm": 0.
|
487 |
-
"learning_rate": 4.
|
488 |
-
"loss": 0.
|
489 |
"step": 560
|
490 |
},
|
491 |
{
|
492 |
-
"epoch": 0.
|
493 |
-
"grad_norm": 0.
|
494 |
-
"learning_rate":
|
495 |
-
"loss": 0.
|
496 |
"step": 570
|
497 |
},
|
498 |
{
|
499 |
-
"epoch": 0.
|
500 |
-
"grad_norm": 0.
|
501 |
-
"learning_rate": 3.
|
502 |
-
"loss": 0.
|
503 |
"step": 580
|
504 |
},
|
505 |
{
|
506 |
-
"epoch": 0.
|
507 |
-
"grad_norm": 0.
|
508 |
-
"learning_rate": 3.
|
509 |
-
"loss": 0.
|
510 |
"step": 590
|
511 |
},
|
512 |
{
|
513 |
-
"epoch": 0.
|
514 |
-
"grad_norm": 0.
|
515 |
-
"learning_rate": 3.
|
516 |
-
"loss": 0.
|
517 |
"step": 600
|
518 |
},
|
519 |
{
|
520 |
-
"epoch": 0.
|
521 |
-
"eval_loss": 0.
|
522 |
-
"eval_runtime": 13.
|
523 |
-
"eval_samples_per_second": 35.
|
524 |
-
"eval_steps_per_second": 2.
|
525 |
"step": 600
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 0.
|
529 |
-
"grad_norm": 0.
|
530 |
-
"learning_rate": 3.
|
531 |
-
"loss": 0.
|
532 |
"step": 610
|
533 |
},
|
534 |
{
|
535 |
-
"epoch": 0.
|
536 |
-
"grad_norm": 0.
|
537 |
-
"learning_rate": 3.
|
538 |
-
"loss": 0.
|
539 |
"step": 620
|
540 |
},
|
541 |
{
|
542 |
-
"epoch": 0.
|
543 |
-
"grad_norm": 0.
|
544 |
-
"learning_rate": 3.
|
545 |
-
"loss": 0.
|
546 |
"step": 630
|
547 |
},
|
548 |
{
|
549 |
-
"epoch": 0.
|
550 |
-
"grad_norm": 0.
|
551 |
-
"learning_rate": 3.
|
552 |
-
"loss": 0.
|
553 |
"step": 640
|
554 |
},
|
555 |
{
|
556 |
-
"epoch": 0.
|
557 |
-
"grad_norm": 0.
|
558 |
-
"learning_rate": 3.
|
559 |
-
"loss": 0.
|
560 |
"step": 650
|
561 |
},
|
562 |
{
|
563 |
-
"epoch": 0.
|
564 |
-
"eval_loss": 0.
|
565 |
-
"eval_runtime": 13.
|
566 |
-
"eval_samples_per_second": 35.
|
567 |
-
"eval_steps_per_second": 2.
|
568 |
"step": 650
|
569 |
},
|
570 |
{
|
571 |
-
"epoch": 0.
|
572 |
-
"grad_norm": 0.
|
573 |
-
"learning_rate": 3.
|
574 |
-
"loss": 0.
|
575 |
"step": 660
|
576 |
},
|
577 |
{
|
578 |
-
"epoch": 0.
|
579 |
-
"grad_norm": 0.
|
580 |
-
"learning_rate": 3.
|
581 |
-
"loss": 0.
|
582 |
"step": 670
|
583 |
},
|
584 |
{
|
585 |
-
"epoch": 0.
|
586 |
-
"grad_norm": 0.
|
587 |
-
"learning_rate": 3.
|
588 |
-
"loss": 0.
|
589 |
"step": 680
|
590 |
},
|
591 |
{
|
592 |
-
"epoch": 0.
|
593 |
-
"grad_norm": 0.
|
594 |
-
"learning_rate": 3.
|
595 |
-
"loss": 0.
|
596 |
"step": 690
|
597 |
},
|
598 |
{
|
599 |
-
"epoch": 0.
|
600 |
-
"grad_norm": 0.
|
601 |
-
"learning_rate": 3.
|
602 |
-
"loss": 0.
|
603 |
"step": 700
|
604 |
},
|
605 |
{
|
606 |
-
"epoch": 0.
|
607 |
-
"eval_loss": 0.
|
608 |
-
"eval_runtime": 13.
|
609 |
-
"eval_samples_per_second": 35.
|
610 |
-
"eval_steps_per_second": 2.
|
611 |
"step": 700
|
612 |
},
|
613 |
{
|
614 |
-
"epoch": 0.
|
615 |
-
"grad_norm": 0.
|
616 |
-
"learning_rate": 3.
|
617 |
-
"loss": 0.
|
618 |
"step": 710
|
619 |
},
|
620 |
{
|
621 |
-
"epoch": 0.
|
622 |
-
"grad_norm": 0.
|
623 |
-
"learning_rate": 3.
|
624 |
-
"loss": 0.
|
625 |
"step": 720
|
626 |
},
|
627 |
{
|
628 |
-
"epoch": 0.
|
629 |
-
"grad_norm": 0.
|
630 |
-
"learning_rate": 3.
|
631 |
-
"loss": 0.
|
632 |
"step": 730
|
633 |
},
|
634 |
{
|
635 |
-
"epoch": 0.
|
636 |
-
"grad_norm": 0.
|
637 |
-
"learning_rate": 3.
|
638 |
-
"loss": 0.
|
639 |
"step": 740
|
640 |
},
|
641 |
{
|
642 |
-
"epoch": 0.
|
643 |
-
"grad_norm": 0.
|
644 |
-
"learning_rate": 3.
|
645 |
-
"loss": 0.
|
646 |
"step": 750
|
647 |
},
|
648 |
{
|
649 |
-
"epoch": 0.
|
650 |
-
"eval_loss": 0.
|
651 |
-
"eval_runtime": 13.
|
652 |
-
"eval_samples_per_second": 35.
|
653 |
-
"eval_steps_per_second": 2.
|
654 |
"step": 750
|
655 |
},
|
656 |
{
|
657 |
-
"epoch": 0.
|
658 |
-
"grad_norm": 0.
|
659 |
-
"learning_rate": 3.
|
660 |
-
"loss": 0.
|
661 |
"step": 760
|
662 |
},
|
663 |
{
|
664 |
-
"epoch": 0.
|
665 |
-
"grad_norm": 0.
|
666 |
-
"learning_rate": 3.
|
667 |
-
"loss": 0.
|
668 |
"step": 770
|
669 |
},
|
670 |
{
|
671 |
-
"epoch": 0.
|
672 |
-
"grad_norm": 0.
|
673 |
-
"learning_rate": 3.
|
674 |
-
"loss": 0.
|
675 |
"step": 780
|
676 |
},
|
677 |
{
|
678 |
-
"epoch": 0.
|
679 |
-
"grad_norm": 0.
|
680 |
-
"learning_rate": 3.
|
681 |
-
"loss": 0.
|
682 |
"step": 790
|
683 |
},
|
684 |
{
|
685 |
-
"epoch": 0.
|
686 |
-
"grad_norm": 0.
|
687 |
-
"learning_rate": 3.
|
688 |
-
"loss": 0.
|
689 |
"step": 800
|
690 |
},
|
691 |
{
|
692 |
-
"epoch": 0.
|
693 |
-
"eval_loss": 0.
|
694 |
-
"eval_runtime": 13.
|
695 |
-
"eval_samples_per_second": 35.
|
696 |
-
"eval_steps_per_second": 2.
|
697 |
"step": 800
|
698 |
},
|
699 |
{
|
700 |
-
"epoch": 0.
|
701 |
-
"grad_norm": 0.
|
702 |
-
"learning_rate": 3.
|
703 |
-
"loss": 0.
|
704 |
"step": 810
|
705 |
},
|
706 |
{
|
707 |
-
"epoch": 0.
|
708 |
-
"grad_norm": 0.
|
709 |
-
"learning_rate": 3.
|
710 |
-
"loss": 0.
|
711 |
"step": 820
|
712 |
},
|
713 |
{
|
714 |
-
"epoch": 0.
|
715 |
-
"grad_norm": 0.
|
716 |
-
"learning_rate": 3.
|
717 |
-
"loss": 0.
|
718 |
"step": 830
|
719 |
},
|
720 |
{
|
721 |
-
"epoch": 0.
|
722 |
-
"grad_norm": 0.
|
723 |
-
"learning_rate": 3.
|
724 |
-
"loss": 0.
|
725 |
"step": 840
|
726 |
},
|
727 |
{
|
728 |
-
"epoch": 0.
|
729 |
-
"grad_norm": 0.
|
730 |
-
"learning_rate": 3.
|
731 |
-
"loss": 0.
|
732 |
"step": 850
|
733 |
},
|
734 |
{
|
735 |
-
"epoch": 0.
|
736 |
-
"eval_loss": 0.
|
737 |
-
"eval_runtime": 13.
|
738 |
-
"eval_samples_per_second": 35.
|
739 |
-
"eval_steps_per_second": 2.
|
740 |
"step": 850
|
741 |
},
|
742 |
{
|
743 |
-
"epoch": 0.
|
744 |
-
"grad_norm": 0.
|
745 |
-
"learning_rate": 3.
|
746 |
-
"loss": 0.
|
747 |
"step": 860
|
748 |
},
|
749 |
{
|
750 |
-
"epoch": 0.
|
751 |
-
"grad_norm": 0.
|
752 |
-
"learning_rate": 3.
|
753 |
-
"loss": 0.
|
754 |
"step": 870
|
755 |
},
|
756 |
{
|
757 |
-
"epoch": 0.
|
758 |
-
"grad_norm": 0.
|
759 |
-
"learning_rate": 3.
|
760 |
-
"loss": 0.
|
761 |
"step": 880
|
762 |
},
|
763 |
{
|
764 |
-
"epoch": 0.
|
765 |
-
"grad_norm": 0.
|
766 |
-
"learning_rate": 3.
|
767 |
-
"loss": 0.
|
768 |
"step": 890
|
769 |
},
|
770 |
{
|
771 |
-
"epoch": 0.
|
772 |
-
"grad_norm": 0.
|
773 |
-
"learning_rate": 3.
|
774 |
-
"loss": 0.
|
775 |
"step": 900
|
776 |
},
|
777 |
{
|
778 |
-
"epoch": 0.
|
779 |
-
"eval_loss": 0.
|
780 |
-
"eval_runtime": 13.
|
781 |
-
"eval_samples_per_second": 35.
|
782 |
-
"eval_steps_per_second": 2.
|
783 |
"step": 900
|
784 |
},
|
785 |
{
|
786 |
-
"epoch": 0.
|
787 |
-
"grad_norm": 0.
|
788 |
-
"learning_rate": 3.
|
789 |
-
"loss": 0.
|
790 |
"step": 910
|
791 |
},
|
792 |
{
|
793 |
-
"epoch": 0.
|
794 |
-
"grad_norm": 0.
|
795 |
-
"learning_rate": 3.
|
796 |
-
"loss": 0.
|
797 |
"step": 920
|
798 |
},
|
799 |
{
|
800 |
-
"epoch": 0.
|
801 |
-
"grad_norm": 0.
|
802 |
-
"learning_rate": 3.
|
803 |
-
"loss": 0.
|
804 |
"step": 930
|
805 |
},
|
806 |
{
|
807 |
-
"epoch": 0.
|
808 |
-
"grad_norm": 0.
|
809 |
-
"learning_rate": 3.
|
810 |
-
"loss": 0.
|
811 |
"step": 940
|
812 |
},
|
813 |
{
|
814 |
-
"epoch":
|
815 |
-
"grad_norm": 0.
|
816 |
-
"learning_rate": 3.
|
817 |
-
"loss": 0.
|
818 |
"step": 950
|
819 |
},
|
820 |
{
|
821 |
-
"epoch":
|
822 |
-
"eval_loss": 0.
|
823 |
-
"eval_runtime": 13.
|
824 |
-
"eval_samples_per_second": 35.
|
825 |
-
"eval_steps_per_second": 2.
|
826 |
"step": 950
|
827 |
},
|
828 |
{
|
829 |
-
"epoch": 1.
|
830 |
-
"grad_norm": 0.
|
831 |
-
"learning_rate": 3.
|
832 |
-
"loss": 0.
|
833 |
"step": 960
|
834 |
},
|
835 |
{
|
836 |
-
"epoch": 1.
|
837 |
-
"grad_norm": 0.
|
838 |
-
"learning_rate": 3.
|
839 |
-
"loss": 0.
|
840 |
"step": 970
|
841 |
},
|
842 |
{
|
843 |
-
"epoch": 1.
|
844 |
-
"grad_norm": 0.
|
845 |
-
"learning_rate": 3.
|
846 |
-
"loss": 0.
|
847 |
"step": 980
|
848 |
},
|
849 |
{
|
850 |
-
"epoch": 1.
|
851 |
-
"grad_norm": 0.
|
852 |
-
"learning_rate": 3.
|
853 |
-
"loss": 0.
|
854 |
"step": 990
|
855 |
},
|
856 |
{
|
857 |
-
"epoch": 1.
|
858 |
-
"grad_norm": 0.
|
859 |
-
"learning_rate": 3.
|
860 |
-
"loss": 0.
|
861 |
"step": 1000
|
862 |
},
|
863 |
{
|
864 |
-
"epoch": 1.
|
865 |
-
"eval_loss": 0.
|
866 |
-
"eval_runtime": 13.
|
867 |
-
"eval_samples_per_second": 35.
|
868 |
-
"eval_steps_per_second": 2.
|
869 |
"step": 1000
|
870 |
}
|
871 |
],
|
872 |
"logging_steps": 10,
|
873 |
-
"max_steps":
|
874 |
"num_input_tokens_seen": 0,
|
875 |
"num_train_epochs": 3,
|
876 |
"save_steps": 100,
|
@@ -886,7 +886,7 @@
|
|
886 |
"attributes": {}
|
887 |
}
|
888 |
},
|
889 |
-
"total_flos": 1.
|
890 |
"train_batch_size": 16,
|
891 |
"trial_name": null,
|
892 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.053740779768177,
|
5 |
"eval_steps": 50,
|
6 |
"global_step": 1000,
|
7 |
"is_hyper_param_search": false,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.01053740779768177,
|
13 |
+
"grad_norm": 3.070249080657959,
|
14 |
+
"learning_rate": 4.982437653670531e-05,
|
15 |
+
"loss": 1.7879,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.02107481559536354,
|
20 |
+
"grad_norm": 1.702326774597168,
|
21 |
+
"learning_rate": 4.964875307341061e-05,
|
22 |
+
"loss": 0.5567,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.03161222339304531,
|
27 |
+
"grad_norm": 1.1947294473648071,
|
28 |
+
"learning_rate": 4.947312961011591e-05,
|
29 |
+
"loss": 0.4493,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.04214963119072708,
|
34 |
+
"grad_norm": 0.9556658267974854,
|
35 |
+
"learning_rate": 4.929750614682122e-05,
|
36 |
+
"loss": 0.3728,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.05268703898840885,
|
41 |
+
"grad_norm": 0.7952510714530945,
|
42 |
+
"learning_rate": 4.9121882683526524e-05,
|
43 |
+
"loss": 0.3535,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.05268703898840885,
|
48 |
+
"eval_loss": 0.4311191439628601,
|
49 |
+
"eval_runtime": 13.6539,
|
50 |
+
"eval_samples_per_second": 35.155,
|
51 |
+
"eval_steps_per_second": 2.197,
|
52 |
"step": 50
|
53 |
},
|
54 |
{
|
55 |
+
"epoch": 0.06322444678609063,
|
56 |
+
"grad_norm": 0.6962826251983643,
|
57 |
+
"learning_rate": 4.894625922023183e-05,
|
58 |
+
"loss": 0.3507,
|
59 |
"step": 60
|
60 |
},
|
61 |
{
|
62 |
+
"epoch": 0.0737618545837724,
|
63 |
+
"grad_norm": 0.6941961646080017,
|
64 |
+
"learning_rate": 4.877063575693713e-05,
|
65 |
+
"loss": 0.3585,
|
66 |
"step": 70
|
67 |
},
|
68 |
{
|
69 |
+
"epoch": 0.08429926238145416,
|
70 |
+
"grad_norm": 0.6864392757415771,
|
71 |
+
"learning_rate": 4.8595012293642434e-05,
|
72 |
+
"loss": 0.3496,
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
+
"epoch": 0.09483667017913593,
|
77 |
+
"grad_norm": 0.7322937846183777,
|
78 |
+
"learning_rate": 4.841938883034774e-05,
|
79 |
+
"loss": 0.3295,
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 0.1053740779768177,
|
84 |
+
"grad_norm": 0.6921488046646118,
|
85 |
+
"learning_rate": 4.824376536705304e-05,
|
86 |
+
"loss": 0.3357,
|
87 |
"step": 100
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.1053740779768177,
|
91 |
+
"eval_loss": 0.39120009541511536,
|
92 |
+
"eval_runtime": 13.7031,
|
93 |
+
"eval_samples_per_second": 35.029,
|
94 |
+
"eval_steps_per_second": 2.189,
|
95 |
"step": 100
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 0.11591148577449947,
|
99 |
+
"grad_norm": 0.6553240418434143,
|
100 |
+
"learning_rate": 4.8068141903758344e-05,
|
101 |
+
"loss": 0.3105,
|
102 |
"step": 110
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 0.12644889357218125,
|
106 |
+
"grad_norm": 0.5637819170951843,
|
107 |
+
"learning_rate": 4.789251844046364e-05,
|
108 |
+
"loss": 0.3164,
|
109 |
"step": 120
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 0.136986301369863,
|
113 |
+
"grad_norm": 0.6341928839683533,
|
114 |
+
"learning_rate": 4.7716894977168955e-05,
|
115 |
+
"loss": 0.304,
|
116 |
"step": 130
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 0.1475237091675448,
|
120 |
+
"grad_norm": 0.5917785167694092,
|
121 |
+
"learning_rate": 4.754127151387426e-05,
|
122 |
+
"loss": 0.3234,
|
123 |
"step": 140
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 0.15806111696522657,
|
127 |
+
"grad_norm": 0.5884453654289246,
|
128 |
+
"learning_rate": 4.736564805057956e-05,
|
129 |
+
"loss": 0.317,
|
130 |
"step": 150
|
131 |
},
|
132 |
{
|
133 |
+
"epoch": 0.15806111696522657,
|
134 |
+
"eval_loss": 0.37688738107681274,
|
135 |
+
"eval_runtime": 13.6535,
|
136 |
+
"eval_samples_per_second": 35.156,
|
137 |
+
"eval_steps_per_second": 2.197,
|
138 |
"step": 150
|
139 |
},
|
140 |
{
|
141 |
+
"epoch": 0.16859852476290832,
|
142 |
+
"grad_norm": 0.5819964408874512,
|
143 |
+
"learning_rate": 4.7190024587284866e-05,
|
144 |
+
"loss": 0.2992,
|
145 |
"step": 160
|
146 |
},
|
147 |
{
|
148 |
+
"epoch": 0.1791359325605901,
|
149 |
+
"grad_norm": 0.689468264579773,
|
150 |
+
"learning_rate": 4.7014401123990165e-05,
|
151 |
+
"loss": 0.3168,
|
152 |
"step": 170
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 0.18967334035827185,
|
156 |
+
"grad_norm": 0.6950872540473938,
|
157 |
+
"learning_rate": 4.683877766069547e-05,
|
158 |
+
"loss": 0.3041,
|
159 |
"step": 180
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.20021074815595363,
|
163 |
+
"grad_norm": 0.8322122097015381,
|
164 |
+
"learning_rate": 4.6663154197400776e-05,
|
165 |
+
"loss": 0.3028,
|
166 |
"step": 190
|
167 |
},
|
168 |
{
|
169 |
+
"epoch": 0.2107481559536354,
|
170 |
+
"grad_norm": 0.5850774645805359,
|
171 |
+
"learning_rate": 4.6487530734106075e-05,
|
172 |
+
"loss": 0.2992,
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 0.2107481559536354,
|
177 |
+
"eval_loss": 0.36230018734931946,
|
178 |
+
"eval_runtime": 13.6165,
|
179 |
+
"eval_samples_per_second": 35.251,
|
180 |
+
"eval_steps_per_second": 2.203,
|
181 |
"step": 200
|
182 |
},
|
183 |
{
|
184 |
+
"epoch": 0.22128556375131717,
|
185 |
+
"grad_norm": 0.6668715476989746,
|
186 |
+
"learning_rate": 4.631190727081138e-05,
|
187 |
+
"loss": 0.2924,
|
188 |
"step": 210
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 0.23182297154899895,
|
192 |
+
"grad_norm": 0.4749641418457031,
|
193 |
+
"learning_rate": 4.6136283807516686e-05,
|
194 |
+
"loss": 0.3017,
|
195 |
"step": 220
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 0.24236037934668073,
|
199 |
+
"grad_norm": 0.6381515860557556,
|
200 |
+
"learning_rate": 4.596066034422199e-05,
|
201 |
+
"loss": 0.2887,
|
202 |
"step": 230
|
203 |
},
|
204 |
{
|
205 |
+
"epoch": 0.2528977871443625,
|
206 |
+
"grad_norm": 0.49952977895736694,
|
207 |
+
"learning_rate": 4.57850368809273e-05,
|
208 |
+
"loss": 0.2833,
|
209 |
"step": 240
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 0.26343519494204426,
|
213 |
+
"grad_norm": 0.699518084526062,
|
214 |
+
"learning_rate": 4.5609413417632596e-05,
|
215 |
+
"loss": 0.2859,
|
216 |
"step": 250
|
217 |
},
|
218 |
{
|
219 |
+
"epoch": 0.26343519494204426,
|
220 |
+
"eval_loss": 0.3563433885574341,
|
221 |
+
"eval_runtime": 13.6275,
|
222 |
+
"eval_samples_per_second": 35.223,
|
223 |
+
"eval_steps_per_second": 2.201,
|
224 |
"step": 250
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 0.273972602739726,
|
228 |
+
"grad_norm": 0.5912085175514221,
|
229 |
+
"learning_rate": 4.54337899543379e-05,
|
230 |
+
"loss": 0.302,
|
231 |
"step": 260
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 0.2845100105374078,
|
235 |
+
"grad_norm": 0.6353363990783691,
|
236 |
+
"learning_rate": 4.525816649104321e-05,
|
237 |
+
"loss": 0.3112,
|
238 |
"step": 270
|
239 |
},
|
240 |
{
|
241 |
+
"epoch": 0.2950474183350896,
|
242 |
+
"grad_norm": 0.5483567118644714,
|
243 |
+
"learning_rate": 4.5082543027748506e-05,
|
244 |
+
"loss": 0.2808,
|
245 |
"step": 280
|
246 |
},
|
247 |
{
|
248 |
+
"epoch": 0.3055848261327713,
|
249 |
+
"grad_norm": 0.5003193616867065,
|
250 |
+
"learning_rate": 4.490691956445381e-05,
|
251 |
+
"loss": 0.3185,
|
252 |
"step": 290
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 0.31612223393045313,
|
256 |
+
"grad_norm": 0.4919240176677704,
|
257 |
+
"learning_rate": 4.473129610115912e-05,
|
258 |
+
"loss": 0.2883,
|
259 |
"step": 300
|
260 |
},
|
261 |
{
|
262 |
+
"epoch": 0.31612223393045313,
|
263 |
+
"eval_loss": 0.35315924882888794,
|
264 |
+
"eval_runtime": 13.6133,
|
265 |
+
"eval_samples_per_second": 35.26,
|
266 |
+
"eval_steps_per_second": 2.204,
|
267 |
"step": 300
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 0.3266596417281349,
|
271 |
+
"grad_norm": 0.5145038366317749,
|
272 |
+
"learning_rate": 4.455567263786442e-05,
|
273 |
+
"loss": 0.3084,
|
274 |
"step": 310
|
275 |
},
|
276 |
{
|
277 |
+
"epoch": 0.33719704952581664,
|
278 |
+
"grad_norm": 0.6343855261802673,
|
279 |
+
"learning_rate": 4.438004917456973e-05,
|
280 |
+
"loss": 0.295,
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 0.34773445732349845,
|
285 |
+
"grad_norm": 0.5336400270462036,
|
286 |
+
"learning_rate": 4.420442571127503e-05,
|
287 |
+
"loss": 0.2882,
|
288 |
"step": 330
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 0.3582718651211802,
|
292 |
+
"grad_norm": 0.49547308683395386,
|
293 |
+
"learning_rate": 4.4028802247980333e-05,
|
294 |
+
"loss": 0.3084,
|
295 |
"step": 340
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 0.36880927291886195,
|
299 |
+
"grad_norm": 0.5037292242050171,
|
300 |
+
"learning_rate": 4.385317878468563e-05,
|
301 |
+
"loss": 0.3084,
|
302 |
"step": 350
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 0.36880927291886195,
|
306 |
+
"eval_loss": 0.34608179330825806,
|
307 |
+
"eval_runtime": 13.6537,
|
308 |
+
"eval_samples_per_second": 35.155,
|
309 |
+
"eval_steps_per_second": 2.197,
|
310 |
"step": 350
|
311 |
},
|
312 |
{
|
313 |
+
"epoch": 0.3793466807165437,
|
314 |
+
"grad_norm": 0.5956543684005737,
|
315 |
+
"learning_rate": 4.367755532139094e-05,
|
316 |
+
"loss": 0.2763,
|
317 |
"step": 360
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 0.3898840885142255,
|
321 |
+
"grad_norm": 0.6263634562492371,
|
322 |
+
"learning_rate": 4.3501931858096244e-05,
|
323 |
+
"loss": 0.3025,
|
324 |
"step": 370
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 0.40042149631190727,
|
328 |
+
"grad_norm": 0.4832920730113983,
|
329 |
+
"learning_rate": 4.332630839480154e-05,
|
330 |
+
"loss": 0.2792,
|
331 |
"step": 380
|
332 |
},
|
333 |
{
|
334 |
+
"epoch": 0.410958904109589,
|
335 |
+
"grad_norm": 0.4969714879989624,
|
336 |
+
"learning_rate": 4.3150684931506855e-05,
|
337 |
+
"loss": 0.2704,
|
338 |
"step": 390
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 0.4214963119072708,
|
342 |
+
"grad_norm": 0.568900465965271,
|
343 |
+
"learning_rate": 4.297506146821216e-05,
|
344 |
+
"loss": 0.2734,
|
345 |
"step": 400
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 0.4214963119072708,
|
349 |
+
"eval_loss": 0.34151414036750793,
|
350 |
+
"eval_runtime": 13.664,
|
351 |
+
"eval_samples_per_second": 35.129,
|
352 |
+
"eval_steps_per_second": 2.196,
|
353 |
"step": 400
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 0.4320337197049526,
|
357 |
+
"grad_norm": 0.5023282170295715,
|
358 |
+
"learning_rate": 4.279943800491746e-05,
|
359 |
+
"loss": 0.2845,
|
360 |
"step": 410
|
361 |
},
|
362 |
{
|
363 |
+
"epoch": 0.44257112750263433,
|
364 |
+
"grad_norm": 0.531538188457489,
|
365 |
+
"learning_rate": 4.2623814541622765e-05,
|
366 |
+
"loss": 0.276,
|
367 |
"step": 420
|
368 |
},
|
369 |
{
|
370 |
+
"epoch": 0.45310853530031614,
|
371 |
+
"grad_norm": 0.6686979532241821,
|
372 |
+
"learning_rate": 4.2448191078328064e-05,
|
373 |
+
"loss": 0.283,
|
374 |
"step": 430
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 0.4636459430979979,
|
378 |
+
"grad_norm": 0.5194190144538879,
|
379 |
+
"learning_rate": 4.227256761503337e-05,
|
380 |
+
"loss": 0.2636,
|
381 |
"step": 440
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 0.47418335089567965,
|
385 |
+
"grad_norm": 0.6105541586875916,
|
386 |
+
"learning_rate": 4.2096944151738675e-05,
|
387 |
+
"loss": 0.2713,
|
388 |
"step": 450
|
389 |
},
|
390 |
{
|
391 |
+
"epoch": 0.47418335089567965,
|
392 |
+
"eval_loss": 0.33879777789115906,
|
393 |
+
"eval_runtime": 13.6666,
|
394 |
+
"eval_samples_per_second": 35.122,
|
395 |
+
"eval_steps_per_second": 2.195,
|
396 |
"step": 450
|
397 |
},
|
398 |
{
|
399 |
+
"epoch": 0.48472075869336145,
|
400 |
+
"grad_norm": 0.4929138123989105,
|
401 |
+
"learning_rate": 4.1921320688443974e-05,
|
402 |
+
"loss": 0.261,
|
403 |
"step": 460
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 0.4952581664910432,
|
407 |
+
"grad_norm": 0.584095299243927,
|
408 |
+
"learning_rate": 4.174569722514928e-05,
|
409 |
+
"loss": 0.2714,
|
410 |
"step": 470
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 0.505795574288725,
|
414 |
+
"grad_norm": 0.5386167764663696,
|
415 |
+
"learning_rate": 4.1570073761854585e-05,
|
416 |
+
"loss": 0.2855,
|
417 |
"step": 480
|
418 |
},
|
419 |
{
|
420 |
+
"epoch": 0.5163329820864068,
|
421 |
+
"grad_norm": 0.5819774270057678,
|
422 |
+
"learning_rate": 4.139445029855989e-05,
|
423 |
+
"loss": 0.2911,
|
424 |
"step": 490
|
425 |
},
|
426 |
{
|
427 |
+
"epoch": 0.5268703898840885,
|
428 |
+
"grad_norm": 0.5875944495201111,
|
429 |
+
"learning_rate": 4.12188268352652e-05,
|
430 |
+
"loss": 0.2619,
|
431 |
"step": 500
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 0.5268703898840885,
|
435 |
+
"eval_loss": 0.3364439010620117,
|
436 |
+
"eval_runtime": 13.6731,
|
437 |
+
"eval_samples_per_second": 35.105,
|
438 |
+
"eval_steps_per_second": 2.194,
|
439 |
"step": 500
|
440 |
},
|
441 |
{
|
442 |
+
"epoch": 0.5374077976817703,
|
443 |
+
"grad_norm": 0.6705812811851501,
|
444 |
+
"learning_rate": 4.1043203371970496e-05,
|
445 |
+
"loss": 0.2792,
|
446 |
"step": 510
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 0.547945205479452,
|
450 |
+
"grad_norm": 0.5975854396820068,
|
451 |
+
"learning_rate": 4.08675799086758e-05,
|
452 |
+
"loss": 0.2611,
|
453 |
"step": 520
|
454 |
},
|
455 |
{
|
456 |
+
"epoch": 0.5584826132771338,
|
457 |
+
"grad_norm": 0.5905255675315857,
|
458 |
+
"learning_rate": 4.069195644538111e-05,
|
459 |
+
"loss": 0.2688,
|
460 |
"step": 530
|
461 |
},
|
462 |
{
|
463 |
+
"epoch": 0.5690200210748156,
|
464 |
+
"grad_norm": 0.6222755312919617,
|
465 |
+
"learning_rate": 4.0516332982086406e-05,
|
466 |
+
"loss": 0.2968,
|
467 |
"step": 540
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 0.5795574288724974,
|
471 |
+
"grad_norm": 0.5604814291000366,
|
472 |
+
"learning_rate": 4.034070951879171e-05,
|
473 |
+
"loss": 0.2623,
|
474 |
"step": 550
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 0.5795574288724974,
|
478 |
+
"eval_loss": 0.3329848647117615,
|
479 |
+
"eval_runtime": 13.6573,
|
480 |
+
"eval_samples_per_second": 35.146,
|
481 |
+
"eval_steps_per_second": 2.197,
|
482 |
"step": 550
|
483 |
},
|
484 |
{
|
485 |
+
"epoch": 0.5900948366701791,
|
486 |
+
"grad_norm": 0.552557647228241,
|
487 |
+
"learning_rate": 4.016508605549702e-05,
|
488 |
+
"loss": 0.2579,
|
489 |
"step": 560
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 0.6006322444678609,
|
493 |
+
"grad_norm": 0.7151882648468018,
|
494 |
+
"learning_rate": 3.998946259220232e-05,
|
495 |
+
"loss": 0.263,
|
496 |
"step": 570
|
497 |
},
|
498 |
{
|
499 |
+
"epoch": 0.6111696522655427,
|
500 |
+
"grad_norm": 0.7065399289131165,
|
501 |
+
"learning_rate": 3.981383912890763e-05,
|
502 |
+
"loss": 0.2626,
|
503 |
"step": 580
|
504 |
},
|
505 |
{
|
506 |
+
"epoch": 0.6217070600632244,
|
507 |
+
"grad_norm": 0.5590985417366028,
|
508 |
+
"learning_rate": 3.963821566561293e-05,
|
509 |
+
"loss": 0.2614,
|
510 |
"step": 590
|
511 |
},
|
512 |
{
|
513 |
+
"epoch": 0.6322444678609063,
|
514 |
+
"grad_norm": 0.6018164157867432,
|
515 |
+
"learning_rate": 3.946259220231823e-05,
|
516 |
+
"loss": 0.2547,
|
517 |
"step": 600
|
518 |
},
|
519 |
{
|
520 |
+
"epoch": 0.6322444678609063,
|
521 |
+
"eval_loss": 0.3322373926639557,
|
522 |
+
"eval_runtime": 13.6386,
|
523 |
+
"eval_samples_per_second": 35.194,
|
524 |
+
"eval_steps_per_second": 2.2,
|
525 |
"step": 600
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 0.642781875658588,
|
529 |
+
"grad_norm": 0.6659051179885864,
|
530 |
+
"learning_rate": 3.928696873902353e-05,
|
531 |
+
"loss": 0.2768,
|
532 |
"step": 610
|
533 |
},
|
534 |
{
|
535 |
+
"epoch": 0.6533192834562698,
|
536 |
+
"grad_norm": 0.6509780883789062,
|
537 |
+
"learning_rate": 3.911134527572884e-05,
|
538 |
+
"loss": 0.272,
|
539 |
"step": 620
|
540 |
},
|
541 |
{
|
542 |
+
"epoch": 0.6638566912539515,
|
543 |
+
"grad_norm": 0.5752527713775635,
|
544 |
+
"learning_rate": 3.893572181243414e-05,
|
545 |
+
"loss": 0.2625,
|
546 |
"step": 630
|
547 |
},
|
548 |
{
|
549 |
+
"epoch": 0.6743940990516333,
|
550 |
+
"grad_norm": 0.4737485349178314,
|
551 |
+
"learning_rate": 3.876009834913945e-05,
|
552 |
+
"loss": 0.2668,
|
553 |
"step": 640
|
554 |
},
|
555 |
{
|
556 |
+
"epoch": 0.684931506849315,
|
557 |
+
"grad_norm": 0.548322319984436,
|
558 |
+
"learning_rate": 3.8584474885844754e-05,
|
559 |
+
"loss": 0.2597,
|
560 |
"step": 650
|
561 |
},
|
562 |
{
|
563 |
+
"epoch": 0.684931506849315,
|
564 |
+
"eval_loss": 0.3307412266731262,
|
565 |
+
"eval_runtime": 13.6407,
|
566 |
+
"eval_samples_per_second": 35.189,
|
567 |
+
"eval_steps_per_second": 2.199,
|
568 |
"step": 650
|
569 |
},
|
570 |
{
|
571 |
+
"epoch": 0.6954689146469969,
|
572 |
+
"grad_norm": 0.5635099411010742,
|
573 |
+
"learning_rate": 3.840885142255005e-05,
|
574 |
+
"loss": 0.2453,
|
575 |
"step": 660
|
576 |
},
|
577 |
{
|
578 |
+
"epoch": 0.7060063224446786,
|
579 |
+
"grad_norm": 0.6012313365936279,
|
580 |
+
"learning_rate": 3.823322795925536e-05,
|
581 |
+
"loss": 0.2695,
|
582 |
"step": 670
|
583 |
},
|
584 |
{
|
585 |
+
"epoch": 0.7165437302423604,
|
586 |
+
"grad_norm": 0.6025511026382446,
|
587 |
+
"learning_rate": 3.8057604495960664e-05,
|
588 |
+
"loss": 0.2599,
|
589 |
"step": 680
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 0.7270811380400422,
|
593 |
+
"grad_norm": 0.5996225476264954,
|
594 |
+
"learning_rate": 3.788198103266596e-05,
|
595 |
+
"loss": 0.2624,
|
596 |
"step": 690
|
597 |
},
|
598 |
{
|
599 |
+
"epoch": 0.7376185458377239,
|
600 |
+
"grad_norm": 0.5269689559936523,
|
601 |
+
"learning_rate": 3.770635756937127e-05,
|
602 |
+
"loss": 0.2498,
|
603 |
"step": 700
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 0.7376185458377239,
|
607 |
+
"eval_loss": 0.3312172591686249,
|
608 |
+
"eval_runtime": 13.6169,
|
609 |
+
"eval_samples_per_second": 35.25,
|
610 |
+
"eval_steps_per_second": 2.203,
|
611 |
"step": 700
|
612 |
},
|
613 |
{
|
614 |
+
"epoch": 0.7481559536354057,
|
615 |
+
"grad_norm": 0.6115732192993164,
|
616 |
+
"learning_rate": 3.7530734106076575e-05,
|
617 |
+
"loss": 0.2566,
|
618 |
"step": 710
|
619 |
},
|
620 |
{
|
621 |
+
"epoch": 0.7586933614330874,
|
622 |
+
"grad_norm": 0.4686366319656372,
|
623 |
+
"learning_rate": 3.7355110642781874e-05,
|
624 |
+
"loss": 0.2325,
|
625 |
"step": 720
|
626 |
},
|
627 |
{
|
628 |
+
"epoch": 0.7692307692307693,
|
629 |
+
"grad_norm": 0.5317673087120056,
|
630 |
+
"learning_rate": 3.717948717948718e-05,
|
631 |
+
"loss": 0.2429,
|
632 |
"step": 730
|
633 |
},
|
634 |
{
|
635 |
+
"epoch": 0.779768177028451,
|
636 |
+
"grad_norm": 0.5183236598968506,
|
637 |
+
"learning_rate": 3.7003863716192485e-05,
|
638 |
+
"loss": 0.2562,
|
639 |
"step": 740
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 0.7903055848261328,
|
643 |
+
"grad_norm": 0.5319241881370544,
|
644 |
+
"learning_rate": 3.682824025289779e-05,
|
645 |
+
"loss": 0.2356,
|
646 |
"step": 750
|
647 |
},
|
648 |
{
|
649 |
+
"epoch": 0.7903055848261328,
|
650 |
+
"eval_loss": 0.3285733163356781,
|
651 |
+
"eval_runtime": 13.6213,
|
652 |
+
"eval_samples_per_second": 35.239,
|
653 |
+
"eval_steps_per_second": 2.202,
|
654 |
"step": 750
|
655 |
},
|
656 |
{
|
657 |
+
"epoch": 0.8008429926238145,
|
658 |
+
"grad_norm": 0.5814469456672668,
|
659 |
+
"learning_rate": 3.6652616789603096e-05,
|
660 |
+
"loss": 0.2428,
|
661 |
"step": 760
|
662 |
},
|
663 |
{
|
664 |
+
"epoch": 0.8113804004214963,
|
665 |
+
"grad_norm": 0.5138055086135864,
|
666 |
+
"learning_rate": 3.6476993326308395e-05,
|
667 |
+
"loss": 0.2639,
|
668 |
"step": 770
|
669 |
},
|
670 |
{
|
671 |
+
"epoch": 0.821917808219178,
|
672 |
+
"grad_norm": 0.5066888332366943,
|
673 |
+
"learning_rate": 3.63013698630137e-05,
|
674 |
+
"loss": 0.2373,
|
675 |
"step": 780
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 0.8324552160168599,
|
679 |
+
"grad_norm": 0.513317883014679,
|
680 |
+
"learning_rate": 3.6125746399719e-05,
|
681 |
+
"loss": 0.2462,
|
682 |
"step": 790
|
683 |
},
|
684 |
{
|
685 |
+
"epoch": 0.8429926238145417,
|
686 |
+
"grad_norm": 0.5878031253814697,
|
687 |
+
"learning_rate": 3.5950122936424305e-05,
|
688 |
+
"loss": 0.2397,
|
689 |
"step": 800
|
690 |
},
|
691 |
{
|
692 |
+
"epoch": 0.8429926238145417,
|
693 |
+
"eval_loss": 0.3288480043411255,
|
694 |
+
"eval_runtime": 13.6316,
|
695 |
+
"eval_samples_per_second": 35.212,
|
696 |
+
"eval_steps_per_second": 2.201,
|
697 |
"step": 800
|
698 |
},
|
699 |
{
|
700 |
+
"epoch": 0.8535300316122234,
|
701 |
+
"grad_norm": 0.6269211769104004,
|
702 |
+
"learning_rate": 3.577449947312961e-05,
|
703 |
+
"loss": 0.2418,
|
704 |
"step": 810
|
705 |
},
|
706 |
{
|
707 |
+
"epoch": 0.8640674394099052,
|
708 |
+
"grad_norm": 0.5279048085212708,
|
709 |
+
"learning_rate": 3.5598876009834916e-05,
|
710 |
+
"loss": 0.246,
|
711 |
"step": 820
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 0.8746048472075869,
|
715 |
+
"grad_norm": 0.5837969183921814,
|
716 |
+
"learning_rate": 3.542325254654022e-05,
|
717 |
+
"loss": 0.256,
|
718 |
"step": 830
|
719 |
},
|
720 |
{
|
721 |
+
"epoch": 0.8851422550052687,
|
722 |
+
"grad_norm": 0.5384166240692139,
|
723 |
+
"learning_rate": 3.524762908324553e-05,
|
724 |
+
"loss": 0.2412,
|
725 |
"step": 840
|
726 |
},
|
727 |
{
|
728 |
+
"epoch": 0.8956796628029505,
|
729 |
+
"grad_norm": 0.5514136552810669,
|
730 |
+
"learning_rate": 3.507200561995083e-05,
|
731 |
+
"loss": 0.251,
|
732 |
"step": 850
|
733 |
},
|
734 |
{
|
735 |
+
"epoch": 0.8956796628029505,
|
736 |
+
"eval_loss": 0.3275190591812134,
|
737 |
+
"eval_runtime": 13.654,
|
738 |
+
"eval_samples_per_second": 35.155,
|
739 |
+
"eval_steps_per_second": 2.197,
|
740 |
"step": 850
|
741 |
},
|
742 |
{
|
743 |
+
"epoch": 0.9062170706006323,
|
744 |
+
"grad_norm": 0.5456790328025818,
|
745 |
+
"learning_rate": 3.489638215665613e-05,
|
746 |
+
"loss": 0.2337,
|
747 |
"step": 860
|
748 |
},
|
749 |
{
|
750 |
+
"epoch": 0.916754478398314,
|
751 |
+
"grad_norm": 0.5794851779937744,
|
752 |
+
"learning_rate": 3.472075869336143e-05,
|
753 |
+
"loss": 0.2462,
|
754 |
"step": 870
|
755 |
},
|
756 |
{
|
757 |
+
"epoch": 0.9272918861959958,
|
758 |
+
"grad_norm": 0.5296761393547058,
|
759 |
+
"learning_rate": 3.454513523006674e-05,
|
760 |
+
"loss": 0.2357,
|
761 |
"step": 880
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 0.9378292939936775,
|
765 |
+
"grad_norm": 0.5668390989303589,
|
766 |
+
"learning_rate": 3.436951176677204e-05,
|
767 |
+
"loss": 0.2439,
|
768 |
"step": 890
|
769 |
},
|
770 |
{
|
771 |
+
"epoch": 0.9483667017913593,
|
772 |
+
"grad_norm": 0.5026710629463196,
|
773 |
+
"learning_rate": 3.419388830347735e-05,
|
774 |
+
"loss": 0.2301,
|
775 |
"step": 900
|
776 |
},
|
777 |
{
|
778 |
+
"epoch": 0.9483667017913593,
|
779 |
+
"eval_loss": 0.32623717188835144,
|
780 |
+
"eval_runtime": 13.6644,
|
781 |
+
"eval_samples_per_second": 35.128,
|
782 |
+
"eval_steps_per_second": 2.195,
|
783 |
"step": 900
|
784 |
},
|
785 |
{
|
786 |
+
"epoch": 0.958904109589041,
|
787 |
+
"grad_norm": 0.5280706286430359,
|
788 |
+
"learning_rate": 3.4018264840182654e-05,
|
789 |
+
"loss": 0.238,
|
790 |
"step": 910
|
791 |
},
|
792 |
{
|
793 |
+
"epoch": 0.9694415173867229,
|
794 |
+
"grad_norm": 0.5578323006629944,
|
795 |
+
"learning_rate": 3.384264137688795e-05,
|
796 |
+
"loss": 0.2484,
|
797 |
"step": 920
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 0.9799789251844047,
|
801 |
+
"grad_norm": 0.5756859183311462,
|
802 |
+
"learning_rate": 3.366701791359326e-05,
|
803 |
+
"loss": 0.2539,
|
804 |
"step": 930
|
805 |
},
|
806 |
{
|
807 |
+
"epoch": 0.9905163329820864,
|
808 |
+
"grad_norm": 0.6118686199188232,
|
809 |
+
"learning_rate": 3.3491394450298564e-05,
|
810 |
+
"loss": 0.2401,
|
811 |
"step": 940
|
812 |
},
|
813 |
{
|
814 |
+
"epoch": 1.0010537407797682,
|
815 |
+
"grad_norm": 0.43512389063835144,
|
816 |
+
"learning_rate": 3.331577098700386e-05,
|
817 |
+
"loss": 0.2334,
|
818 |
"step": 950
|
819 |
},
|
820 |
{
|
821 |
+
"epoch": 1.0010537407797682,
|
822 |
+
"eval_loss": 0.32700982689857483,
|
823 |
+
"eval_runtime": 13.6561,
|
824 |
+
"eval_samples_per_second": 35.149,
|
825 |
+
"eval_steps_per_second": 2.197,
|
826 |
"step": 950
|
827 |
},
|
828 |
{
|
829 |
+
"epoch": 1.01159114857745,
|
830 |
+
"grad_norm": 0.5436535477638245,
|
831 |
+
"learning_rate": 3.314014752370917e-05,
|
832 |
+
"loss": 0.1933,
|
833 |
"step": 960
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 1.0221285563751317,
|
837 |
+
"grad_norm": 0.5048521161079407,
|
838 |
+
"learning_rate": 3.2964524060414474e-05,
|
839 |
+
"loss": 0.2088,
|
840 |
"step": 970
|
841 |
},
|
842 |
{
|
843 |
+
"epoch": 1.0326659641728135,
|
844 |
+
"grad_norm": 0.6231564283370972,
|
845 |
+
"learning_rate": 3.278890059711977e-05,
|
846 |
+
"loss": 0.2146,
|
847 |
"step": 980
|
848 |
},
|
849 |
{
|
850 |
+
"epoch": 1.0432033719704952,
|
851 |
+
"grad_norm": 0.6846581101417542,
|
852 |
+
"learning_rate": 3.261327713382508e-05,
|
853 |
+
"loss": 0.2149,
|
854 |
"step": 990
|
855 |
},
|
856 |
{
|
857 |
+
"epoch": 1.053740779768177,
|
858 |
+
"grad_norm": 0.5640810132026672,
|
859 |
+
"learning_rate": 3.2437653670530384e-05,
|
860 |
+
"loss": 0.2078,
|
861 |
"step": 1000
|
862 |
},
|
863 |
{
|
864 |
+
"epoch": 1.053740779768177,
|
865 |
+
"eval_loss": 0.3363134264945984,
|
866 |
+
"eval_runtime": 13.6484,
|
867 |
+
"eval_samples_per_second": 35.169,
|
868 |
+
"eval_steps_per_second": 2.198,
|
869 |
"step": 1000
|
870 |
}
|
871 |
],
|
872 |
"logging_steps": 10,
|
873 |
+
"max_steps": 2847,
|
874 |
"num_input_tokens_seen": 0,
|
875 |
"num_train_epochs": 3,
|
876 |
"save_steps": 100,
|
|
|
886 |
"attributes": {}
|
887 |
}
|
888 |
},
|
889 |
+
"total_flos": 1.1984830438765363e+17,
|
890 |
"train_batch_size": 16,
|
891 |
"trial_name": null,
|
892 |
"trial_params": null
|
checkpoint-1000/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5880
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b5fa9d8b62d1ebe6967a504a7decdb5eeee2bb4aac96e7414f3930f9adcff095
|
3 |
size 5880
|