Upload folder using huggingface_hub
Browse files- adapter_model.safetensors +1 -1
- checkpoint-1050/adapter_model.safetensors +1 -1
- checkpoint-1050/optimizer.pt +1 -1
- checkpoint-1050/trainer_state.json +222 -222
- checkpoint-350/adapter_model.safetensors +1 -1
- checkpoint-350/optimizer.pt +1 -1
- checkpoint-350/trainer_state.json +74 -74
- checkpoint-700/adapter_model.safetensors +1 -1
- checkpoint-700/optimizer.pt +1 -1
- checkpoint-700/trainer_state.json +148 -148
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d2cd35d0baac967d5cd52ce3fffd9ce200841b230f5ec3f3a91c2d8bca2247d5
|
3 |
size 3416264
|
checkpoint-1050/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d2cd35d0baac967d5cd52ce3fffd9ce200841b230f5ec3f3a91c2d8bca2247d5
|
3 |
size 3416264
|
checkpoint-1050/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae643995a9c608e5fdbb35f7f590c5e913a99f951c4b7e93ba61ed6b84a0f475
|
3 |
size 6869818
|
checkpoint-1050/trainer_state.json
CHANGED
@@ -10,761 +10,761 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
-
"loss": 2.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
-
"loss": 2.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm": 4.
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
-
"loss": 2.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm":
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm": 2.
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm": 3.
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm": 3.
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
"learning_rate": 0.0004,
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm": 4.
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm": 2.
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm": 2.
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm": 4.
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm": 3.
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm": 2.
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm": 2.
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm": 4.
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second":
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
-
"grad_norm":
|
267 |
"learning_rate": 0.00032857142857142856,
|
268 |
-
"loss": 1.
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
-
"grad_norm": 3.
|
274 |
"learning_rate": 0.00032380952380952385,
|
275 |
-
"loss": 1.
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
-
"grad_norm": 2.
|
281 |
"learning_rate": 0.00031904761904761903,
|
282 |
-
"loss": 1.
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
-
"grad_norm": 3.
|
288 |
"learning_rate": 0.00031428571428571427,
|
289 |
-
"loss": 1.
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
-
"grad_norm":
|
295 |
"learning_rate": 0.00030952380952380956,
|
296 |
-
"loss": 1.
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
-
"grad_norm": 3.
|
302 |
"learning_rate": 0.0003047619047619048,
|
303 |
-
"loss": 1.
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
-
"grad_norm": 4.
|
309 |
"learning_rate": 0.0003,
|
310 |
-
"loss": 1.
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
-
"grad_norm":
|
316 |
"learning_rate": 0.00029523809523809526,
|
317 |
-
"loss": 1.
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
-
"grad_norm":
|
323 |
"learning_rate": 0.0002904761904761905,
|
324 |
-
"loss": 0.
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
-
"grad_norm":
|
330 |
"learning_rate": 0.0002857142857142857,
|
331 |
-
"loss": 1.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
-
"grad_norm": 5.
|
337 |
"learning_rate": 0.00028095238095238097,
|
338 |
-
"loss": 1.
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
-
"grad_norm":
|
344 |
"learning_rate": 0.0002761904761904762,
|
345 |
-
"loss": 1.
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
-
"grad_norm":
|
351 |
"learning_rate": 0.0002714285714285714,
|
352 |
-
"loss": 1.
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
-
"grad_norm":
|
358 |
"learning_rate": 0.0002666666666666667,
|
359 |
-
"loss":
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
-
"grad_norm":
|
365 |
"learning_rate": 0.0002619047619047619,
|
366 |
-
"loss": 1.
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
-
"grad_norm":
|
372 |
"learning_rate": 0.0002571428571428571,
|
373 |
-
"loss": 0.
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
-
"grad_norm": 5.
|
379 |
"learning_rate": 0.0002523809523809524,
|
380 |
-
"loss": 0.
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
-
"grad_norm":
|
386 |
"learning_rate": 0.0002476190476190476,
|
387 |
-
"loss": 0.
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
-
"grad_norm":
|
393 |
"learning_rate": 0.00024285714285714286,
|
394 |
-
"loss": 1.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
-
"grad_norm": 3.
|
400 |
"learning_rate": 0.0002380952380952381,
|
401 |
-
"loss": 0.
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
-
"grad_norm":
|
407 |
"learning_rate": 0.00023333333333333333,
|
408 |
-
"loss": 1.
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
-
"grad_norm": 3.
|
414 |
"learning_rate": 0.00022857142857142857,
|
415 |
-
"loss": 1.
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
-
"grad_norm":
|
421 |
"learning_rate": 0.00022380952380952383,
|
422 |
-
"loss": 0.
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
-
"grad_norm": 3.
|
428 |
"learning_rate": 0.00021904761904761904,
|
429 |
-
"loss": 1.
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
-
"grad_norm":
|
435 |
"learning_rate": 0.00021428571428571427,
|
436 |
-
"loss": 1.
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
-
"grad_norm": 3.
|
442 |
"learning_rate": 0.00020952380952380954,
|
443 |
-
"loss": 1.
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
-
"grad_norm": 4.
|
449 |
"learning_rate": 0.00020476190476190477,
|
450 |
-
"loss": 0.
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
-
"grad_norm": 3.
|
456 |
"learning_rate": 0.0002,
|
457 |
-
"loss": 1.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
-
"grad_norm": 3.
|
463 |
"learning_rate": 0.00019523809523809525,
|
464 |
-
"loss": 1.
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
-
"grad_norm":
|
470 |
"learning_rate": 0.00019047619047619048,
|
471 |
-
"loss": 0.
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
-
"grad_norm":
|
477 |
"learning_rate": 0.00018571428571428572,
|
478 |
-
"loss": 0.
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
-
"grad_norm": 4.
|
484 |
"learning_rate": 0.00018095238095238095,
|
485 |
-
"loss":
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
-
"grad_norm": 3.
|
491 |
"learning_rate": 0.00017619047619047622,
|
492 |
-
"loss": 0.
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
-
"grad_norm": 3.
|
498 |
"learning_rate": 0.00017142857142857143,
|
499 |
-
"loss": 0.
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
-
"grad_norm":
|
505 |
"learning_rate": 0.00016666666666666666,
|
506 |
-
"loss":
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
-
"eval_loss": 0.
|
512 |
-
"eval_runtime":
|
513 |
-
"eval_samples_per_second":
|
514 |
-
"eval_steps_per_second": 1.
|
515 |
"step": 700
|
516 |
},
|
517 |
{
|
518 |
"epoch": 2.0285714285714285,
|
519 |
-
"grad_norm": 2.
|
520 |
"learning_rate": 0.00016190476190476192,
|
521 |
-
"loss": 0.
|
522 |
"step": 710
|
523 |
},
|
524 |
{
|
525 |
"epoch": 2.057142857142857,
|
526 |
-
"grad_norm": 2.
|
527 |
"learning_rate": 0.00015714285714285713,
|
528 |
-
"loss": 0.
|
529 |
"step": 720
|
530 |
},
|
531 |
{
|
532 |
"epoch": 2.085714285714286,
|
533 |
-
"grad_norm":
|
534 |
"learning_rate": 0.0001523809523809524,
|
535 |
-
"loss": 0.
|
536 |
"step": 730
|
537 |
},
|
538 |
{
|
539 |
"epoch": 2.1142857142857143,
|
540 |
-
"grad_norm": 3.
|
541 |
"learning_rate": 0.00014761904761904763,
|
542 |
-
"loss": 0.
|
543 |
"step": 740
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.142857142857143,
|
547 |
-
"grad_norm": 5.
|
548 |
"learning_rate": 0.00014285714285714284,
|
549 |
-
"loss": 1.
|
550 |
"step": 750
|
551 |
},
|
552 |
{
|
553 |
"epoch": 2.1714285714285713,
|
554 |
-
"grad_norm": 3.
|
555 |
"learning_rate": 0.0001380952380952381,
|
556 |
-
"loss": 0.
|
557 |
"step": 760
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.2,
|
561 |
-
"grad_norm": 3.
|
562 |
"learning_rate": 0.00013333333333333334,
|
563 |
-
"loss": 0.
|
564 |
"step": 770
|
565 |
},
|
566 |
{
|
567 |
"epoch": 2.2285714285714286,
|
568 |
-
"grad_norm":
|
569 |
"learning_rate": 0.00012857142857142855,
|
570 |
-
"loss": 0.
|
571 |
"step": 780
|
572 |
},
|
573 |
{
|
574 |
"epoch": 2.257142857142857,
|
575 |
-
"grad_norm":
|
576 |
"learning_rate": 0.0001238095238095238,
|
577 |
-
"loss": 0.
|
578 |
"step": 790
|
579 |
},
|
580 |
{
|
581 |
"epoch": 2.2857142857142856,
|
582 |
-
"grad_norm": 3.
|
583 |
"learning_rate": 0.00011904761904761905,
|
584 |
-
"loss": 0.
|
585 |
"step": 800
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.314285714285714,
|
589 |
-
"grad_norm":
|
590 |
"learning_rate": 0.00011428571428571428,
|
591 |
-
"loss": 0.
|
592 |
"step": 810
|
593 |
},
|
594 |
{
|
595 |
"epoch": 2.342857142857143,
|
596 |
-
"grad_norm":
|
597 |
"learning_rate": 0.00010952380952380952,
|
598 |
-
"loss": 0.
|
599 |
"step": 820
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.3714285714285714,
|
603 |
-
"grad_norm":
|
604 |
"learning_rate": 0.00010476190476190477,
|
605 |
-
"loss": 0.
|
606 |
"step": 830
|
607 |
},
|
608 |
{
|
609 |
"epoch": 2.4,
|
610 |
-
"grad_norm": 4.
|
611 |
"learning_rate": 0.0001,
|
612 |
-
"loss": 0.
|
613 |
"step": 840
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.4285714285714284,
|
617 |
-
"grad_norm":
|
618 |
"learning_rate": 9.523809523809524e-05,
|
619 |
-
"loss": 0.
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.4571428571428573,
|
624 |
-
"grad_norm": 4.
|
625 |
"learning_rate": 9.047619047619048e-05,
|
626 |
-
"loss": 0.
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.4857142857142858,
|
631 |
-
"grad_norm": 2.
|
632 |
"learning_rate": 8.571428571428571e-05,
|
633 |
-
"loss": 0.
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.5142857142857142,
|
638 |
-
"grad_norm": 3.
|
639 |
"learning_rate": 8.095238095238096e-05,
|
640 |
-
"loss": 0.
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.5428571428571427,
|
645 |
-
"grad_norm": 4.
|
646 |
"learning_rate": 7.61904761904762e-05,
|
647 |
-
"loss": 0.
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.571428571428571,
|
652 |
-
"grad_norm":
|
653 |
"learning_rate": 7.142857142857142e-05,
|
654 |
-
"loss": 0.
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.6,
|
659 |
-
"grad_norm": 2.
|
660 |
"learning_rate": 6.666666666666667e-05,
|
661 |
-
"loss": 0.
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.6285714285714286,
|
666 |
-
"grad_norm": 4.
|
667 |
"learning_rate": 6.19047619047619e-05,
|
668 |
-
"loss": 0.
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.657142857142857,
|
673 |
-
"grad_norm": 4.
|
674 |
"learning_rate": 5.714285714285714e-05,
|
675 |
-
"loss": 0.
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.685714285714286,
|
680 |
-
"grad_norm": 4.
|
681 |
"learning_rate": 5.2380952380952384e-05,
|
682 |
-
"loss": 0.
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.7142857142857144,
|
687 |
-
"grad_norm":
|
688 |
"learning_rate": 4.761904761904762e-05,
|
689 |
-
"loss": 0.
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.742857142857143,
|
694 |
-
"grad_norm":
|
695 |
"learning_rate": 4.2857142857142856e-05,
|
696 |
-
"loss": 0.
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.7714285714285714,
|
701 |
-
"grad_norm": 4.
|
702 |
"learning_rate": 3.80952380952381e-05,
|
703 |
-
"loss": 0.
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.8,
|
708 |
-
"grad_norm": 2.
|
709 |
"learning_rate": 3.3333333333333335e-05,
|
710 |
-
"loss": 0.
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.8285714285714287,
|
715 |
-
"grad_norm": 3.
|
716 |
"learning_rate": 2.857142857142857e-05,
|
717 |
-
"loss": 0.
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.857142857142857,
|
722 |
-
"grad_norm":
|
723 |
"learning_rate": 2.380952380952381e-05,
|
724 |
-
"loss": 0.
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.8857142857142857,
|
729 |
-
"grad_norm": 4.
|
730 |
"learning_rate": 1.904761904761905e-05,
|
731 |
-
"loss": 0.
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.914285714285714,
|
736 |
-
"grad_norm": 2.
|
737 |
"learning_rate": 1.4285714285714285e-05,
|
738 |
-
"loss": 0.
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.942857142857143,
|
743 |
-
"grad_norm":
|
744 |
"learning_rate": 9.523809523809525e-06,
|
745 |
-
"loss": 0.
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.9714285714285715,
|
750 |
-
"grad_norm": 4.
|
751 |
"learning_rate": 4.761904761904762e-06,
|
752 |
-
"loss": 0.
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 3.0,
|
757 |
-
"grad_norm": 4.
|
758 |
"learning_rate": 0.0,
|
759 |
-
"loss": 0.
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 3.0,
|
764 |
-
"eval_loss": 0.
|
765 |
-
"eval_runtime": 16.
|
766 |
-
"eval_samples_per_second":
|
767 |
-
"eval_steps_per_second": 1.
|
768 |
"step": 1050
|
769 |
}
|
770 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 320.9814758300781,
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 5.144,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 8.983612060546875,
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 3.5072,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 5.370372772216797,
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2891,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.666455030441284,
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0865,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 4.363830089569092,
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.061,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.7685394287109375,
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.8436,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 4.38090181350708,
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.8594,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 6.654545783996582,
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8804,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 2.162074565887451,
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6293,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 4.620967388153076,
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6454,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 5.860279083251953,
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6508,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.8689663410186768,
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.3364,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.600432872772217,
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.4913,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 3.5309250354766846,
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3719,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 2.634753704071045,
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5274,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.284735918045044,
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.5985,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.2241106033325195,
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2673,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.514350175857544,
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.4211,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.476823091506958,
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.4254,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 2.4598169326782227,
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2857,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 3.915236234664917,
|
154 |
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.2144,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 3.5647623538970947,
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.2258,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 4.019155025482178,
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4103,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 3.1268930435180664,
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2308,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.708326578140259,
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3197,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.4128565788269043,
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.1922,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 4.487890243530273,
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2505,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.1995606422424316,
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2047,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 3.0884156227111816,
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.1397,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.9434640407562256,
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.0844,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.6582884788513184,
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1461,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 2.6335928440093994,
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.4124,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8153300285339355,
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1619,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 5.384872913360596,
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.1091,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 4.4129958152771,
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1665,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.0720068216323853,
|
259 |
+
"eval_runtime": 16.9829,
|
260 |
+
"eval_samples_per_second": 11.777,
|
261 |
+
"eval_steps_per_second": 1.472,
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
+
"grad_norm": 7.848823547363281,
|
267 |
"learning_rate": 0.00032857142857142856,
|
268 |
+
"loss": 1.073,
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
+
"grad_norm": 3.559180498123169,
|
274 |
"learning_rate": 0.00032380952380952385,
|
275 |
+
"loss": 1.1773,
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
+
"grad_norm": 2.477151870727539,
|
281 |
"learning_rate": 0.00031904761904761903,
|
282 |
+
"loss": 1.0647,
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
+
"grad_norm": 3.4121389389038086,
|
288 |
"learning_rate": 0.00031428571428571427,
|
289 |
+
"loss": 1.0428,
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
+
"grad_norm": 6.0573015213012695,
|
295 |
"learning_rate": 0.00030952380952380956,
|
296 |
+
"loss": 1.0667,
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
+
"grad_norm": 3.7485954761505127,
|
302 |
"learning_rate": 0.0003047619047619048,
|
303 |
+
"loss": 1.0497,
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
+
"grad_norm": 4.239710330963135,
|
309 |
"learning_rate": 0.0003,
|
310 |
+
"loss": 1.1227,
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
+
"grad_norm": 7.383611679077148,
|
316 |
"learning_rate": 0.00029523809523809526,
|
317 |
+
"loss": 1.0,
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
+
"grad_norm": 3.1444430351257324,
|
323 |
"learning_rate": 0.0002904761904761905,
|
324 |
+
"loss": 0.9194,
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
+
"grad_norm": 8.754597663879395,
|
330 |
"learning_rate": 0.0002857142857142857,
|
331 |
+
"loss": 1.2234,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
+
"grad_norm": 5.383545875549316,
|
337 |
"learning_rate": 0.00028095238095238097,
|
338 |
+
"loss": 1.0219,
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
+
"grad_norm": 3.977374792098999,
|
344 |
"learning_rate": 0.0002761904761904762,
|
345 |
+
"loss": 1.061,
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
+
"grad_norm": 3.6732325553894043,
|
351 |
"learning_rate": 0.0002714285714285714,
|
352 |
+
"loss": 1.1131,
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
+
"grad_norm": 4.493168830871582,
|
358 |
"learning_rate": 0.0002666666666666667,
|
359 |
+
"loss": 1.0033,
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
+
"grad_norm": 2.9993937015533447,
|
365 |
"learning_rate": 0.0002619047619047619,
|
366 |
+
"loss": 1.0023,
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
+
"grad_norm": 3.984879732131958,
|
372 |
"learning_rate": 0.0002571428571428571,
|
373 |
+
"loss": 0.9796,
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
+
"grad_norm": 5.652857303619385,
|
379 |
"learning_rate": 0.0002523809523809524,
|
380 |
+
"loss": 0.912,
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
+
"grad_norm": 4.275585174560547,
|
386 |
"learning_rate": 0.0002476190476190476,
|
387 |
+
"loss": 0.9618,
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
+
"grad_norm": 4.000895977020264,
|
393 |
"learning_rate": 0.00024285714285714286,
|
394 |
+
"loss": 1.0019,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
+
"grad_norm": 3.681532144546509,
|
400 |
"learning_rate": 0.0002380952380952381,
|
401 |
+
"loss": 0.9769,
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
+
"grad_norm": 6.31843376159668,
|
407 |
"learning_rate": 0.00023333333333333333,
|
408 |
+
"loss": 1.0508,
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
+
"grad_norm": 3.165881633758545,
|
414 |
"learning_rate": 0.00022857142857142857,
|
415 |
+
"loss": 1.1192,
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
+
"grad_norm": 3.3488543033599854,
|
421 |
"learning_rate": 0.00022380952380952383,
|
422 |
+
"loss": 0.945,
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
+
"grad_norm": 3.479367256164551,
|
428 |
"learning_rate": 0.00021904761904761904,
|
429 |
+
"loss": 1.1191,
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
+
"grad_norm": 3.9680163860321045,
|
435 |
"learning_rate": 0.00021428571428571427,
|
436 |
+
"loss": 1.0116,
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
+
"grad_norm": 3.4398531913757324,
|
442 |
"learning_rate": 0.00020952380952380954,
|
443 |
+
"loss": 1.0162,
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
+
"grad_norm": 4.210978031158447,
|
449 |
"learning_rate": 0.00020476190476190477,
|
450 |
+
"loss": 0.9214,
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
+
"grad_norm": 3.9029576778411865,
|
456 |
"learning_rate": 0.0002,
|
457 |
+
"loss": 1.0135,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
+
"grad_norm": 3.1066203117370605,
|
463 |
"learning_rate": 0.00019523809523809525,
|
464 |
+
"loss": 1.0136,
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
+
"grad_norm": 4.775870323181152,
|
470 |
"learning_rate": 0.00019047619047619048,
|
471 |
+
"loss": 0.8558,
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
+
"grad_norm": 4.7907490730285645,
|
477 |
"learning_rate": 0.00018571428571428572,
|
478 |
+
"loss": 0.9436,
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
+
"grad_norm": 4.235854148864746,
|
484 |
"learning_rate": 0.00018095238095238095,
|
485 |
+
"loss": 0.9884,
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
+
"grad_norm": 3.239032030105591,
|
491 |
"learning_rate": 0.00017619047619047622,
|
492 |
+
"loss": 0.9304,
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
+
"grad_norm": 3.5313665866851807,
|
498 |
"learning_rate": 0.00017142857142857143,
|
499 |
+
"loss": 0.983,
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
+
"grad_norm": 3.0609097480773926,
|
505 |
"learning_rate": 0.00016666666666666666,
|
506 |
+
"loss": 0.9815,
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
+
"eval_loss": 0.8912971615791321,
|
512 |
+
"eval_runtime": 17.0248,
|
513 |
+
"eval_samples_per_second": 11.748,
|
514 |
+
"eval_steps_per_second": 1.468,
|
515 |
"step": 700
|
516 |
},
|
517 |
{
|
518 |
"epoch": 2.0285714285714285,
|
519 |
+
"grad_norm": 2.448066473007202,
|
520 |
"learning_rate": 0.00016190476190476192,
|
521 |
+
"loss": 0.8429,
|
522 |
"step": 710
|
523 |
},
|
524 |
{
|
525 |
"epoch": 2.057142857142857,
|
526 |
+
"grad_norm": 2.44789719581604,
|
527 |
"learning_rate": 0.00015714285714285713,
|
528 |
+
"loss": 0.8165,
|
529 |
"step": 720
|
530 |
},
|
531 |
{
|
532 |
"epoch": 2.085714285714286,
|
533 |
+
"grad_norm": 3.3588461875915527,
|
534 |
"learning_rate": 0.0001523809523809524,
|
535 |
+
"loss": 0.8081,
|
536 |
"step": 730
|
537 |
},
|
538 |
{
|
539 |
"epoch": 2.1142857142857143,
|
540 |
+
"grad_norm": 3.647935628890991,
|
541 |
"learning_rate": 0.00014761904761904763,
|
542 |
+
"loss": 0.8373,
|
543 |
"step": 740
|
544 |
},
|
545 |
{
|
546 |
"epoch": 2.142857142857143,
|
547 |
+
"grad_norm": 5.533905506134033,
|
548 |
"learning_rate": 0.00014285714285714284,
|
549 |
+
"loss": 1.0447,
|
550 |
"step": 750
|
551 |
},
|
552 |
{
|
553 |
"epoch": 2.1714285714285713,
|
554 |
+
"grad_norm": 3.834791660308838,
|
555 |
"learning_rate": 0.0001380952380952381,
|
556 |
+
"loss": 0.909,
|
557 |
"step": 760
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.2,
|
561 |
+
"grad_norm": 3.3422257900238037,
|
562 |
"learning_rate": 0.00013333333333333334,
|
563 |
+
"loss": 0.8473,
|
564 |
"step": 770
|
565 |
},
|
566 |
{
|
567 |
"epoch": 2.2285714285714286,
|
568 |
+
"grad_norm": 3.9888529777526855,
|
569 |
"learning_rate": 0.00012857142857142855,
|
570 |
+
"loss": 0.9289,
|
571 |
"step": 780
|
572 |
},
|
573 |
{
|
574 |
"epoch": 2.257142857142857,
|
575 |
+
"grad_norm": 2.7921173572540283,
|
576 |
"learning_rate": 0.0001238095238095238,
|
577 |
+
"loss": 0.7639,
|
578 |
"step": 790
|
579 |
},
|
580 |
{
|
581 |
"epoch": 2.2857142857142856,
|
582 |
+
"grad_norm": 3.649446964263916,
|
583 |
"learning_rate": 0.00011904761904761905,
|
584 |
+
"loss": 0.8032,
|
585 |
"step": 800
|
586 |
},
|
587 |
{
|
588 |
"epoch": 2.314285714285714,
|
589 |
+
"grad_norm": 2.795527219772339,
|
590 |
"learning_rate": 0.00011428571428571428,
|
591 |
+
"loss": 0.8604,
|
592 |
"step": 810
|
593 |
},
|
594 |
{
|
595 |
"epoch": 2.342857142857143,
|
596 |
+
"grad_norm": 4.063432693481445,
|
597 |
"learning_rate": 0.00010952380952380952,
|
598 |
+
"loss": 0.8038,
|
599 |
"step": 820
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.3714285714285714,
|
603 |
+
"grad_norm": 6.527313232421875,
|
604 |
"learning_rate": 0.00010476190476190477,
|
605 |
+
"loss": 0.9626,
|
606 |
"step": 830
|
607 |
},
|
608 |
{
|
609 |
"epoch": 2.4,
|
610 |
+
"grad_norm": 4.3589677810668945,
|
611 |
"learning_rate": 0.0001,
|
612 |
+
"loss": 0.8209,
|
613 |
"step": 840
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.4285714285714284,
|
617 |
+
"grad_norm": 4.879549026489258,
|
618 |
"learning_rate": 9.523809523809524e-05,
|
619 |
+
"loss": 0.7638,
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.4571428571428573,
|
624 |
+
"grad_norm": 4.141664981842041,
|
625 |
"learning_rate": 9.047619047619048e-05,
|
626 |
+
"loss": 0.8789,
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.4857142857142858,
|
631 |
+
"grad_norm": 2.2482237815856934,
|
632 |
"learning_rate": 8.571428571428571e-05,
|
633 |
+
"loss": 0.9195,
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.5142857142857142,
|
638 |
+
"grad_norm": 3.0567550659179688,
|
639 |
"learning_rate": 8.095238095238096e-05,
|
640 |
+
"loss": 0.8484,
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.5428571428571427,
|
645 |
+
"grad_norm": 4.093011379241943,
|
646 |
"learning_rate": 7.61904761904762e-05,
|
647 |
+
"loss": 0.9751,
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.571428571428571,
|
652 |
+
"grad_norm": 4.998325824737549,
|
653 |
"learning_rate": 7.142857142857142e-05,
|
654 |
+
"loss": 0.6668,
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.6,
|
659 |
+
"grad_norm": 2.410688877105713,
|
660 |
"learning_rate": 6.666666666666667e-05,
|
661 |
+
"loss": 0.8172,
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.6285714285714286,
|
666 |
+
"grad_norm": 4.06935453414917,
|
667 |
"learning_rate": 6.19047619047619e-05,
|
668 |
+
"loss": 0.8715,
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.657142857142857,
|
673 |
+
"grad_norm": 4.4172749519348145,
|
674 |
"learning_rate": 5.714285714285714e-05,
|
675 |
+
"loss": 0.7697,
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.685714285714286,
|
680 |
+
"grad_norm": 4.751075267791748,
|
681 |
"learning_rate": 5.2380952380952384e-05,
|
682 |
+
"loss": 0.9336,
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.7142857142857144,
|
687 |
+
"grad_norm": 5.419342994689941,
|
688 |
"learning_rate": 4.761904761904762e-05,
|
689 |
+
"loss": 0.7864,
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.742857142857143,
|
694 |
+
"grad_norm": 5.93941593170166,
|
695 |
"learning_rate": 4.2857142857142856e-05,
|
696 |
+
"loss": 0.7512,
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.7714285714285714,
|
701 |
+
"grad_norm": 4.589322090148926,
|
702 |
"learning_rate": 3.80952380952381e-05,
|
703 |
+
"loss": 0.931,
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.8,
|
708 |
+
"grad_norm": 2.8117074966430664,
|
709 |
"learning_rate": 3.3333333333333335e-05,
|
710 |
+
"loss": 0.9269,
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.8285714285714287,
|
715 |
+
"grad_norm": 3.5889601707458496,
|
716 |
"learning_rate": 2.857142857142857e-05,
|
717 |
+
"loss": 0.8692,
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.857142857142857,
|
722 |
+
"grad_norm": 2.896406412124634,
|
723 |
"learning_rate": 2.380952380952381e-05,
|
724 |
+
"loss": 0.8653,
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.8857142857142857,
|
729 |
+
"grad_norm": 4.262946605682373,
|
730 |
"learning_rate": 1.904761904761905e-05,
|
731 |
+
"loss": 0.8147,
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.914285714285714,
|
736 |
+
"grad_norm": 2.0895347595214844,
|
737 |
"learning_rate": 1.4285714285714285e-05,
|
738 |
+
"loss": 0.7894,
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.942857142857143,
|
743 |
+
"grad_norm": 3.1296284198760986,
|
744 |
"learning_rate": 9.523809523809525e-06,
|
745 |
+
"loss": 0.6825,
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.9714285714285715,
|
750 |
+
"grad_norm": 4.006032943725586,
|
751 |
"learning_rate": 4.761904761904762e-06,
|
752 |
+
"loss": 0.7002,
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 3.0,
|
757 |
+
"grad_norm": 4.667923450469971,
|
758 |
"learning_rate": 0.0,
|
759 |
+
"loss": 0.854,
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 3.0,
|
764 |
+
"eval_loss": 0.7869462370872498,
|
765 |
+
"eval_runtime": 16.9799,
|
766 |
+
"eval_samples_per_second": 11.779,
|
767 |
+
"eval_steps_per_second": 1.472,
|
768 |
"step": 1050
|
769 |
}
|
770 |
],
|
checkpoint-350/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07b19a3342e5274099483d3b96acb4e8a3b702bfff8b05bd21955b7225a6d5f3
|
3 |
size 3416264
|
checkpoint-350/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30c9044fc476d6d5c60a711eb88687b34e285486823fc0794f9256ea8ee19d8f
|
3 |
size 6869818
|
checkpoint-350/trainer_state.json
CHANGED
@@ -10,255 +10,255 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
-
"loss": 2.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
-
"loss": 2.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm": 4.
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
-
"loss": 2.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm":
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm": 2.
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm": 3.
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm": 3.
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
"learning_rate": 0.0004,
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm": 4.
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm": 2.
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm": 2.
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm": 4.
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm": 3.
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm": 2.
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm": 2.
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm": 4.
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second":
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
}
|
264 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 320.9814758300781,
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 5.144,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 8.983612060546875,
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 3.5072,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 5.370372772216797,
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2891,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.666455030441284,
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0865,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 4.363830089569092,
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.061,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.7685394287109375,
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.8436,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 4.38090181350708,
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.8594,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 6.654545783996582,
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8804,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 2.162074565887451,
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6293,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 4.620967388153076,
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6454,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 5.860279083251953,
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6508,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.8689663410186768,
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.3364,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.600432872772217,
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.4913,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 3.5309250354766846,
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3719,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 2.634753704071045,
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5274,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.284735918045044,
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.5985,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.2241106033325195,
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2673,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.514350175857544,
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.4211,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.476823091506958,
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.4254,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 2.4598169326782227,
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2857,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 3.915236234664917,
|
154 |
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.2144,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 3.5647623538970947,
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.2258,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 4.019155025482178,
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4103,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 3.1268930435180664,
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2308,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.708326578140259,
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3197,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.4128565788269043,
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.1922,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 4.487890243530273,
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2505,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.1995606422424316,
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2047,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 3.0884156227111816,
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.1397,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.9434640407562256,
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.0844,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.6582884788513184,
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1461,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 2.6335928440093994,
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.4124,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8153300285339355,
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1619,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 5.384872913360596,
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.1091,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 4.4129958152771,
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1665,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.0720068216323853,
|
259 |
+
"eval_runtime": 16.9829,
|
260 |
+
"eval_samples_per_second": 11.777,
|
261 |
+
"eval_steps_per_second": 1.472,
|
262 |
"step": 350
|
263 |
}
|
264 |
],
|
checkpoint-700/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3416264
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8221c3fd15b62a6a4bef2a0e388070ff537f3157ea9a6ce45f5aa8cc5d7c70ed
|
3 |
size 3416264
|
checkpoint-700/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6869818
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:74872d6416fc8a272ada5a388a703d59001f77a2bc5f613c852a4d74b1c54e49
|
3 |
size 6869818
|
checkpoint-700/trainer_state.json
CHANGED
@@ -10,508 +10,508 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
-
"loss":
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
-
"loss":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
-
"loss": 2.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
-
"loss": 2.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
-
"grad_norm": 4.
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
-
"loss": 2.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
-
"grad_norm":
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
-
"grad_norm":
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
-
"grad_norm":
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
-
"loss": 1.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
-
"grad_norm": 2.
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
-
"loss": 1.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
-
"grad_norm":
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
-
"loss": 1.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
-
"loss": 1.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
-
"grad_norm":
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
-
"loss": 1.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
-
"grad_norm": 3.
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
-
"grad_norm": 3.
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
-
"loss": 1.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
-
"grad_norm":
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
-
"loss": 1.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
-
"grad_norm":
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
-
"loss": 1.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
-
"grad_norm":
|
154 |
"learning_rate": 0.0004,
|
155 |
-
"loss": 1.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
-
"grad_norm":
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
-
"loss": 1.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
-
"grad_norm": 4.
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
-
"loss": 1.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
-
"loss": 1.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
-
"grad_norm": 2.
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
-
"loss": 1.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
-
"grad_norm": 2.
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
-
"loss": 1.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
-
"grad_norm": 4.
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
-
"loss": 1.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
-
"grad_norm":
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
-
"loss": 1.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
-
"grad_norm":
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
-
"loss": 1.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
-
"grad_norm":
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
-
"loss": 1.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
-
"grad_norm": 3.
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
-
"loss": 1.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
-
"grad_norm": 2.
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
-
"loss": 1.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
-
"grad_norm": 2.
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
-
"loss": 1.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
-
"grad_norm":
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
-
"loss": 1.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
-
"grad_norm": 4.
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
-
"loss": 1.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
-
"eval_loss": 1.
|
259 |
-
"eval_runtime": 16.
|
260 |
-
"eval_samples_per_second":
|
261 |
-
"eval_steps_per_second": 1.
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
-
"grad_norm":
|
267 |
"learning_rate": 0.00032857142857142856,
|
268 |
-
"loss": 1.
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
-
"grad_norm": 3.
|
274 |
"learning_rate": 0.00032380952380952385,
|
275 |
-
"loss": 1.
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
-
"grad_norm": 2.
|
281 |
"learning_rate": 0.00031904761904761903,
|
282 |
-
"loss": 1.
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
-
"grad_norm": 3.
|
288 |
"learning_rate": 0.00031428571428571427,
|
289 |
-
"loss": 1.
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
-
"grad_norm":
|
295 |
"learning_rate": 0.00030952380952380956,
|
296 |
-
"loss": 1.
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
-
"grad_norm": 3.
|
302 |
"learning_rate": 0.0003047619047619048,
|
303 |
-
"loss": 1.
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
-
"grad_norm": 4.
|
309 |
"learning_rate": 0.0003,
|
310 |
-
"loss": 1.
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
-
"grad_norm":
|
316 |
"learning_rate": 0.00029523809523809526,
|
317 |
-
"loss": 1.
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
-
"grad_norm":
|
323 |
"learning_rate": 0.0002904761904761905,
|
324 |
-
"loss": 0.
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
-
"grad_norm":
|
330 |
"learning_rate": 0.0002857142857142857,
|
331 |
-
"loss": 1.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
-
"grad_norm": 5.
|
337 |
"learning_rate": 0.00028095238095238097,
|
338 |
-
"loss": 1.
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
-
"grad_norm":
|
344 |
"learning_rate": 0.0002761904761904762,
|
345 |
-
"loss": 1.
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
-
"grad_norm":
|
351 |
"learning_rate": 0.0002714285714285714,
|
352 |
-
"loss": 1.
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
-
"grad_norm":
|
358 |
"learning_rate": 0.0002666666666666667,
|
359 |
-
"loss":
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
-
"grad_norm":
|
365 |
"learning_rate": 0.0002619047619047619,
|
366 |
-
"loss": 1.
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
-
"grad_norm":
|
372 |
"learning_rate": 0.0002571428571428571,
|
373 |
-
"loss": 0.
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
-
"grad_norm": 5.
|
379 |
"learning_rate": 0.0002523809523809524,
|
380 |
-
"loss": 0.
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
-
"grad_norm":
|
386 |
"learning_rate": 0.0002476190476190476,
|
387 |
-
"loss": 0.
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
-
"grad_norm":
|
393 |
"learning_rate": 0.00024285714285714286,
|
394 |
-
"loss": 1.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
-
"grad_norm": 3.
|
400 |
"learning_rate": 0.0002380952380952381,
|
401 |
-
"loss": 0.
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
-
"grad_norm":
|
407 |
"learning_rate": 0.00023333333333333333,
|
408 |
-
"loss": 1.
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
-
"grad_norm": 3.
|
414 |
"learning_rate": 0.00022857142857142857,
|
415 |
-
"loss": 1.
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
-
"grad_norm":
|
421 |
"learning_rate": 0.00022380952380952383,
|
422 |
-
"loss": 0.
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
-
"grad_norm": 3.
|
428 |
"learning_rate": 0.00021904761904761904,
|
429 |
-
"loss": 1.
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
-
"grad_norm":
|
435 |
"learning_rate": 0.00021428571428571427,
|
436 |
-
"loss": 1.
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
-
"grad_norm": 3.
|
442 |
"learning_rate": 0.00020952380952380954,
|
443 |
-
"loss": 1.
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
-
"grad_norm": 4.
|
449 |
"learning_rate": 0.00020476190476190477,
|
450 |
-
"loss": 0.
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
-
"grad_norm": 3.
|
456 |
"learning_rate": 0.0002,
|
457 |
-
"loss": 1.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
-
"grad_norm": 3.
|
463 |
"learning_rate": 0.00019523809523809525,
|
464 |
-
"loss": 1.
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
-
"grad_norm":
|
470 |
"learning_rate": 0.00019047619047619048,
|
471 |
-
"loss": 0.
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
-
"grad_norm":
|
477 |
"learning_rate": 0.00018571428571428572,
|
478 |
-
"loss": 0.
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
-
"grad_norm": 4.
|
484 |
"learning_rate": 0.00018095238095238095,
|
485 |
-
"loss":
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
-
"grad_norm": 3.
|
491 |
"learning_rate": 0.00017619047619047622,
|
492 |
-
"loss": 0.
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
-
"grad_norm": 3.
|
498 |
"learning_rate": 0.00017142857142857143,
|
499 |
-
"loss": 0.
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
-
"grad_norm":
|
505 |
"learning_rate": 0.00016666666666666666,
|
506 |
-
"loss":
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
-
"eval_loss": 0.
|
512 |
-
"eval_runtime":
|
513 |
-
"eval_samples_per_second":
|
514 |
-
"eval_steps_per_second": 1.
|
515 |
"step": 700
|
516 |
}
|
517 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02857142857142857,
|
13 |
+
"grad_norm": 320.9814758300781,
|
14 |
"learning_rate": 0.0004952380952380952,
|
15 |
+
"loss": 5.144,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.05714285714285714,
|
20 |
+
"grad_norm": 8.983612060546875,
|
21 |
"learning_rate": 0.0004904761904761905,
|
22 |
+
"loss": 3.5072,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.08571428571428572,
|
27 |
+
"grad_norm": 5.370372772216797,
|
28 |
"learning_rate": 0.0004857142857142857,
|
29 |
+
"loss": 2.2891,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11428571428571428,
|
34 |
+
"grad_norm": 2.666455030441284,
|
35 |
"learning_rate": 0.00048095238095238095,
|
36 |
+
"loss": 2.0865,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.14285714285714285,
|
41 |
+
"grad_norm": 4.363830089569092,
|
42 |
"learning_rate": 0.0004761904761904762,
|
43 |
+
"loss": 2.061,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.17142857142857143,
|
48 |
+
"grad_norm": 5.7685394287109375,
|
49 |
"learning_rate": 0.0004714285714285714,
|
50 |
+
"loss": 1.8436,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.2,
|
55 |
+
"grad_norm": 4.38090181350708,
|
56 |
"learning_rate": 0.00046666666666666666,
|
57 |
+
"loss": 1.8594,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.22857142857142856,
|
62 |
+
"grad_norm": 6.654545783996582,
|
63 |
"learning_rate": 0.00046190476190476195,
|
64 |
+
"loss": 1.8804,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.2571428571428571,
|
69 |
+
"grad_norm": 2.162074565887451,
|
70 |
"learning_rate": 0.00045714285714285713,
|
71 |
+
"loss": 1.6293,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.2857142857142857,
|
76 |
+
"grad_norm": 4.620967388153076,
|
77 |
"learning_rate": 0.00045238095238095237,
|
78 |
+
"loss": 1.6454,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3142857142857143,
|
83 |
+
"grad_norm": 5.860279083251953,
|
84 |
"learning_rate": 0.00044761904761904766,
|
85 |
+
"loss": 1.6508,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.34285714285714286,
|
90 |
+
"grad_norm": 2.8689663410186768,
|
91 |
"learning_rate": 0.00044285714285714284,
|
92 |
+
"loss": 1.3364,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.37142857142857144,
|
97 |
+
"grad_norm": 2.600432872772217,
|
98 |
"learning_rate": 0.0004380952380952381,
|
99 |
+
"loss": 1.4913,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.4,
|
104 |
+
"grad_norm": 3.5309250354766846,
|
105 |
"learning_rate": 0.00043333333333333337,
|
106 |
+
"loss": 1.3719,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.42857142857142855,
|
111 |
+
"grad_norm": 2.634753704071045,
|
112 |
"learning_rate": 0.00042857142857142855,
|
113 |
+
"loss": 1.5274,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.45714285714285713,
|
118 |
+
"grad_norm": 3.284735918045044,
|
119 |
"learning_rate": 0.0004238095238095238,
|
120 |
+
"loss": 1.5985,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4857142857142857,
|
125 |
+
"grad_norm": 3.2241106033325195,
|
126 |
"learning_rate": 0.0004190476190476191,
|
127 |
+
"loss": 1.2673,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.5142857142857142,
|
132 |
+
"grad_norm": 2.514350175857544,
|
133 |
"learning_rate": 0.0004142857142857143,
|
134 |
+
"loss": 1.4211,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.5428571428571428,
|
139 |
+
"grad_norm": 3.476823091506958,
|
140 |
"learning_rate": 0.00040952380952380955,
|
141 |
+
"loss": 1.4254,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5714285714285714,
|
146 |
+
"grad_norm": 2.4598169326782227,
|
147 |
"learning_rate": 0.0004047619047619048,
|
148 |
+
"loss": 1.2857,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.6,
|
153 |
+
"grad_norm": 3.915236234664917,
|
154 |
"learning_rate": 0.0004,
|
155 |
+
"loss": 1.2144,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.6285714285714286,
|
160 |
+
"grad_norm": 3.5647623538970947,
|
161 |
"learning_rate": 0.00039523809523809526,
|
162 |
+
"loss": 1.2258,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.6571428571428571,
|
167 |
+
"grad_norm": 4.019155025482178,
|
168 |
"learning_rate": 0.0003904761904761905,
|
169 |
+
"loss": 1.4103,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.6857142857142857,
|
174 |
+
"grad_norm": 3.1268930435180664,
|
175 |
"learning_rate": 0.0003857142857142857,
|
176 |
+
"loss": 1.2308,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.7142857142857143,
|
181 |
+
"grad_norm": 2.708326578140259,
|
182 |
"learning_rate": 0.00038095238095238096,
|
183 |
+
"loss": 1.3197,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.7428571428571429,
|
188 |
+
"grad_norm": 2.4128565788269043,
|
189 |
"learning_rate": 0.0003761904761904762,
|
190 |
+
"loss": 1.1922,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.7714285714285715,
|
195 |
+
"grad_norm": 4.487890243530273,
|
196 |
"learning_rate": 0.00037142857142857143,
|
197 |
+
"loss": 1.2505,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.8,
|
202 |
+
"grad_norm": 3.1995606422424316,
|
203 |
"learning_rate": 0.00036666666666666667,
|
204 |
+
"loss": 1.2047,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.8285714285714286,
|
209 |
+
"grad_norm": 3.0884156227111816,
|
210 |
"learning_rate": 0.0003619047619047619,
|
211 |
+
"loss": 1.1397,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.8571428571428571,
|
216 |
+
"grad_norm": 3.9434640407562256,
|
217 |
"learning_rate": 0.00035714285714285714,
|
218 |
+
"loss": 1.0844,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.8857142857142857,
|
223 |
+
"grad_norm": 3.6582884788513184,
|
224 |
"learning_rate": 0.00035238095238095243,
|
225 |
+
"loss": 1.1461,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9142857142857143,
|
230 |
+
"grad_norm": 2.6335928440093994,
|
231 |
"learning_rate": 0.0003476190476190476,
|
232 |
+
"loss": 1.4124,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.9428571428571428,
|
237 |
+
"grad_norm": 2.8153300285339355,
|
238 |
"learning_rate": 0.00034285714285714285,
|
239 |
+
"loss": 1.1619,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.9714285714285714,
|
244 |
+
"grad_norm": 5.384872913360596,
|
245 |
"learning_rate": 0.00033809523809523814,
|
246 |
+
"loss": 1.1091,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 1.0,
|
251 |
+
"grad_norm": 4.4129958152771,
|
252 |
"learning_rate": 0.0003333333333333333,
|
253 |
+
"loss": 1.1665,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 1.0,
|
258 |
+
"eval_loss": 1.0720068216323853,
|
259 |
+
"eval_runtime": 16.9829,
|
260 |
+
"eval_samples_per_second": 11.777,
|
261 |
+
"eval_steps_per_second": 1.472,
|
262 |
"step": 350
|
263 |
},
|
264 |
{
|
265 |
"epoch": 1.0285714285714285,
|
266 |
+
"grad_norm": 7.848823547363281,
|
267 |
"learning_rate": 0.00032857142857142856,
|
268 |
+
"loss": 1.073,
|
269 |
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.0571428571428572,
|
273 |
+
"grad_norm": 3.559180498123169,
|
274 |
"learning_rate": 0.00032380952380952385,
|
275 |
+
"loss": 1.1773,
|
276 |
"step": 370
|
277 |
},
|
278 |
{
|
279 |
"epoch": 1.0857142857142856,
|
280 |
+
"grad_norm": 2.477151870727539,
|
281 |
"learning_rate": 0.00031904761904761903,
|
282 |
+
"loss": 1.0647,
|
283 |
"step": 380
|
284 |
},
|
285 |
{
|
286 |
"epoch": 1.1142857142857143,
|
287 |
+
"grad_norm": 3.4121389389038086,
|
288 |
"learning_rate": 0.00031428571428571427,
|
289 |
+
"loss": 1.0428,
|
290 |
"step": 390
|
291 |
},
|
292 |
{
|
293 |
"epoch": 1.1428571428571428,
|
294 |
+
"grad_norm": 6.0573015213012695,
|
295 |
"learning_rate": 0.00030952380952380956,
|
296 |
+
"loss": 1.0667,
|
297 |
"step": 400
|
298 |
},
|
299 |
{
|
300 |
"epoch": 1.1714285714285715,
|
301 |
+
"grad_norm": 3.7485954761505127,
|
302 |
"learning_rate": 0.0003047619047619048,
|
303 |
+
"loss": 1.0497,
|
304 |
"step": 410
|
305 |
},
|
306 |
{
|
307 |
"epoch": 1.2,
|
308 |
+
"grad_norm": 4.239710330963135,
|
309 |
"learning_rate": 0.0003,
|
310 |
+
"loss": 1.1227,
|
311 |
"step": 420
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.2285714285714286,
|
315 |
+
"grad_norm": 7.383611679077148,
|
316 |
"learning_rate": 0.00029523809523809526,
|
317 |
+
"loss": 1.0,
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.2571428571428571,
|
322 |
+
"grad_norm": 3.1444430351257324,
|
323 |
"learning_rate": 0.0002904761904761905,
|
324 |
+
"loss": 0.9194,
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.2857142857142856,
|
329 |
+
"grad_norm": 8.754597663879395,
|
330 |
"learning_rate": 0.0002857142857142857,
|
331 |
+
"loss": 1.2234,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.3142857142857143,
|
336 |
+
"grad_norm": 5.383545875549316,
|
337 |
"learning_rate": 0.00028095238095238097,
|
338 |
+
"loss": 1.0219,
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.342857142857143,
|
343 |
+
"grad_norm": 3.977374792098999,
|
344 |
"learning_rate": 0.0002761904761904762,
|
345 |
+
"loss": 1.061,
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.3714285714285714,
|
350 |
+
"grad_norm": 3.6732325553894043,
|
351 |
"learning_rate": 0.0002714285714285714,
|
352 |
+
"loss": 1.1131,
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.4,
|
357 |
+
"grad_norm": 4.493168830871582,
|
358 |
"learning_rate": 0.0002666666666666667,
|
359 |
+
"loss": 1.0033,
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.4285714285714286,
|
364 |
+
"grad_norm": 2.9993937015533447,
|
365 |
"learning_rate": 0.0002619047619047619,
|
366 |
+
"loss": 1.0023,
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.457142857142857,
|
371 |
+
"grad_norm": 3.984879732131958,
|
372 |
"learning_rate": 0.0002571428571428571,
|
373 |
+
"loss": 0.9796,
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.4857142857142858,
|
378 |
+
"grad_norm": 5.652857303619385,
|
379 |
"learning_rate": 0.0002523809523809524,
|
380 |
+
"loss": 0.912,
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.5142857142857142,
|
385 |
+
"grad_norm": 4.275585174560547,
|
386 |
"learning_rate": 0.0002476190476190476,
|
387 |
+
"loss": 0.9618,
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.5428571428571427,
|
392 |
+
"grad_norm": 4.000895977020264,
|
393 |
"learning_rate": 0.00024285714285714286,
|
394 |
+
"loss": 1.0019,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.5714285714285714,
|
399 |
+
"grad_norm": 3.681532144546509,
|
400 |
"learning_rate": 0.0002380952380952381,
|
401 |
+
"loss": 0.9769,
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.6,
|
406 |
+
"grad_norm": 6.31843376159668,
|
407 |
"learning_rate": 0.00023333333333333333,
|
408 |
+
"loss": 1.0508,
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.6285714285714286,
|
413 |
+
"grad_norm": 3.165881633758545,
|
414 |
"learning_rate": 0.00022857142857142857,
|
415 |
+
"loss": 1.1192,
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.657142857142857,
|
420 |
+
"grad_norm": 3.3488543033599854,
|
421 |
"learning_rate": 0.00022380952380952383,
|
422 |
+
"loss": 0.945,
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.6857142857142857,
|
427 |
+
"grad_norm": 3.479367256164551,
|
428 |
"learning_rate": 0.00021904761904761904,
|
429 |
+
"loss": 1.1191,
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.7142857142857144,
|
434 |
+
"grad_norm": 3.9680163860321045,
|
435 |
"learning_rate": 0.00021428571428571427,
|
436 |
+
"loss": 1.0116,
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.7428571428571429,
|
441 |
+
"grad_norm": 3.4398531913757324,
|
442 |
"learning_rate": 0.00020952380952380954,
|
443 |
+
"loss": 1.0162,
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.7714285714285714,
|
448 |
+
"grad_norm": 4.210978031158447,
|
449 |
"learning_rate": 0.00020476190476190477,
|
450 |
+
"loss": 0.9214,
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.8,
|
455 |
+
"grad_norm": 3.9029576778411865,
|
456 |
"learning_rate": 0.0002,
|
457 |
+
"loss": 1.0135,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.8285714285714287,
|
462 |
+
"grad_norm": 3.1066203117370605,
|
463 |
"learning_rate": 0.00019523809523809525,
|
464 |
+
"loss": 1.0136,
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.8571428571428572,
|
469 |
+
"grad_norm": 4.775870323181152,
|
470 |
"learning_rate": 0.00019047619047619048,
|
471 |
+
"loss": 0.8558,
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.8857142857142857,
|
476 |
+
"grad_norm": 4.7907490730285645,
|
477 |
"learning_rate": 0.00018571428571428572,
|
478 |
+
"loss": 0.9436,
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.9142857142857141,
|
483 |
+
"grad_norm": 4.235854148864746,
|
484 |
"learning_rate": 0.00018095238095238095,
|
485 |
+
"loss": 0.9884,
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.9428571428571428,
|
490 |
+
"grad_norm": 3.239032030105591,
|
491 |
"learning_rate": 0.00017619047619047622,
|
492 |
+
"loss": 0.9304,
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.9714285714285715,
|
497 |
+
"grad_norm": 3.5313665866851807,
|
498 |
"learning_rate": 0.00017142857142857143,
|
499 |
+
"loss": 0.983,
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 2.0,
|
504 |
+
"grad_norm": 3.0609097480773926,
|
505 |
"learning_rate": 0.00016666666666666666,
|
506 |
+
"loss": 0.9815,
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 2.0,
|
511 |
+
"eval_loss": 0.8912971615791321,
|
512 |
+
"eval_runtime": 17.0248,
|
513 |
+
"eval_samples_per_second": 11.748,
|
514 |
+
"eval_steps_per_second": 1.468,
|
515 |
"step": 700
|
516 |
}
|
517 |
],
|