Training in progress, step 500, checkpoint
Browse files- last-checkpoint/config.json +1 -1
- last-checkpoint/model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +257 -1169
- last-checkpoint/training_args.bin +1 -1
last-checkpoint/config.json
CHANGED
@@ -19,7 +19,7 @@
|
|
19 |
"position_embedding_type": "absolute",
|
20 |
"problem_type": "single_label_classification",
|
21 |
"torch_dtype": "float32",
|
22 |
-
"transformers_version": "4.
|
23 |
"type_vocab_size": 2,
|
24 |
"use_cache": true,
|
25 |
"vocab_size": 21628
|
|
|
19 |
"position_embedding_type": "absolute",
|
20 |
"problem_type": "single_label_classification",
|
21 |
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.48.3",
|
23 |
"type_vocab_size": 2,
|
24 |
"use_cache": true,
|
25 |
"vocab_size": 21628
|
last-checkpoint/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1304192904
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e59bef07aacf6e853c82b13f47483bf6528d40188e34b7b400dd76b52e212fdd
|
3 |
size 1304192904
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2608620781
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ecb00de55c84169e446830679f4a32dddc897ceacf9e7c8e9cce815c522343ec
|
3 |
size 2608620781
|
last-checkpoint/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:e1e8067d5fbeb1227a581f2ac30b5566e6d43dfd02b6742b8a66cd4212e1eb41
|
3 |
size 14244
|
last-checkpoint/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 sha256:5f405c2c673cf6aab61295c4e74c472a2015440052e52b46872a0ad1407e3ef9
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,1328 +1,416 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./results/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 20,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate": 1.
|
15 |
-
"loss": 0.
|
16 |
"step": 20
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime":
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second":
|
25 |
"step": 20
|
26 |
},
|
27 |
{
|
28 |
-
"epoch": 0.
|
29 |
-
"grad_norm":
|
30 |
-
"learning_rate": 1.
|
31 |
-
"loss": 0.
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
-
"epoch": 0.
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime":
|
39 |
-
"eval_samples_per_second":
|
40 |
-
"eval_steps_per_second": 2.
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
-
"epoch": 0.
|
45 |
-
"grad_norm":
|
46 |
-
"learning_rate": 1.
|
47 |
-
"loss": 0.
|
48 |
"step": 60
|
49 |
},
|
50 |
{
|
51 |
-
"epoch": 0.
|
52 |
-
"eval_accuracy": 0.
|
53 |
-
"eval_loss": 0.
|
54 |
-
"eval_runtime":
|
55 |
-
"eval_samples_per_second": 10.
|
56 |
-
"eval_steps_per_second": 2.
|
57 |
"step": 60
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
-
"grad_norm":
|
62 |
-
"learning_rate": 1.
|
63 |
-
"loss": 0.
|
64 |
"step": 80
|
65 |
},
|
66 |
{
|
67 |
-
"epoch": 0.
|
68 |
-
"eval_accuracy": 0.
|
69 |
-
"eval_loss": 0.
|
70 |
-
"eval_runtime":
|
71 |
-
"eval_samples_per_second":
|
72 |
-
"eval_steps_per_second": 2.
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
-
"epoch": 0.
|
77 |
-
"grad_norm":
|
78 |
-
"learning_rate": 1.
|
79 |
-
"loss": 0.
|
80 |
"step": 100
|
81 |
},
|
82 |
{
|
83 |
-
"epoch": 0.
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"eval_runtime":
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second": 2.
|
89 |
"step": 100
|
90 |
},
|
91 |
{
|
92 |
-
"epoch": 0.
|
93 |
-
"grad_norm":
|
94 |
-
"learning_rate": 1.
|
95 |
-
"loss": 0.
|
96 |
"step": 120
|
97 |
},
|
98 |
{
|
99 |
-
"epoch": 0.
|
100 |
-
"eval_accuracy": 0.
|
101 |
-
"eval_loss": 0.
|
102 |
-
"eval_runtime":
|
103 |
-
"eval_samples_per_second":
|
104 |
-
"eval_steps_per_second": 2.
|
105 |
"step": 120
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
-
"grad_norm":
|
110 |
-
"learning_rate": 1.
|
111 |
-
"loss": 0.
|
112 |
"step": 140
|
113 |
},
|
114 |
{
|
115 |
-
"epoch": 0.
|
116 |
-
"eval_accuracy": 0.
|
117 |
-
"eval_loss": 0.
|
118 |
-
"eval_runtime":
|
119 |
-
"eval_samples_per_second":
|
120 |
-
"eval_steps_per_second": 2.
|
121 |
"step": 140
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate": 1.
|
127 |
-
"loss": 0.
|
128 |
"step": 160
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0.
|
132 |
-
"eval_accuracy": 0.
|
133 |
-
"eval_loss": 0.
|
134 |
-
"eval_runtime":
|
135 |
-
"eval_samples_per_second":
|
136 |
-
"eval_steps_per_second": 2.
|
137 |
"step": 160
|
138 |
},
|
139 |
{
|
140 |
-
"epoch": 0.
|
141 |
-
"grad_norm":
|
142 |
-
"learning_rate": 1.
|
143 |
-
"loss": 0.
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"eval_accuracy": 0.
|
149 |
-
"eval_loss": 0.
|
150 |
-
"eval_runtime":
|
151 |
-
"eval_samples_per_second":
|
152 |
-
"eval_steps_per_second": 2.
|
153 |
"step": 180
|
154 |
},
|
155 |
{
|
156 |
-
"epoch": 0.
|
157 |
-
"grad_norm":
|
158 |
-
"learning_rate": 1.
|
159 |
-
"loss": 0.
|
160 |
"step": 200
|
161 |
},
|
162 |
{
|
163 |
-
"epoch": 0.
|
164 |
-
"eval_accuracy": 0.
|
165 |
-
"eval_loss": 0.
|
166 |
-
"eval_runtime":
|
167 |
-
"eval_samples_per_second":
|
168 |
-
"eval_steps_per_second": 2.
|
169 |
"step": 200
|
170 |
},
|
171 |
{
|
172 |
-
"epoch": 0.
|
173 |
-
"grad_norm":
|
174 |
-
"learning_rate": 1.
|
175 |
-
"loss": 0.
|
176 |
"step": 220
|
177 |
},
|
178 |
{
|
179 |
-
"epoch": 0.
|
180 |
-
"eval_accuracy": 0.
|
181 |
-
"eval_loss": 0.
|
182 |
-
"eval_runtime":
|
183 |
-
"eval_samples_per_second":
|
184 |
-
"eval_steps_per_second": 2.
|
185 |
"step": 220
|
186 |
},
|
187 |
{
|
188 |
-
"epoch": 0.
|
189 |
-
"grad_norm":
|
190 |
-
"learning_rate": 1.
|
191 |
-
"loss": 0.
|
192 |
"step": 240
|
193 |
},
|
194 |
{
|
195 |
-
"epoch": 0.
|
196 |
-
"eval_accuracy": 0.
|
197 |
-
"eval_loss": 0.
|
198 |
-
"eval_runtime":
|
199 |
-
"eval_samples_per_second":
|
200 |
-
"eval_steps_per_second": 2.
|
201 |
"step": 240
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 0.
|
205 |
-
"grad_norm":
|
206 |
-
"learning_rate": 1.
|
207 |
-
"loss": 0.
|
208 |
"step": 260
|
209 |
},
|
210 |
{
|
211 |
-
"epoch": 0.
|
212 |
-
"eval_accuracy": 0.
|
213 |
-
"eval_loss": 0.
|
214 |
-
"eval_runtime":
|
215 |
-
"eval_samples_per_second":
|
216 |
-
"eval_steps_per_second": 2.
|
217 |
"step": 260
|
218 |
},
|
219 |
{
|
220 |
-
"epoch": 0.
|
221 |
-
"grad_norm":
|
222 |
-
"learning_rate": 1.
|
223 |
-
"loss": 0.
|
224 |
"step": 280
|
225 |
},
|
226 |
{
|
227 |
-
"epoch": 0.
|
228 |
-
"eval_accuracy": 0.
|
229 |
-
"eval_loss": 0.
|
230 |
-
"eval_runtime":
|
231 |
-
"eval_samples_per_second":
|
232 |
-
"eval_steps_per_second": 2.
|
233 |
"step": 280
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 0.
|
237 |
-
"grad_norm":
|
238 |
-
"learning_rate": 1.
|
239 |
-
"loss": 0.
|
240 |
"step": 300
|
241 |
},
|
242 |
{
|
243 |
-
"epoch": 0.
|
244 |
-
"eval_accuracy": 0.
|
245 |
-
"eval_loss": 0.
|
246 |
-
"eval_runtime":
|
247 |
-
"eval_samples_per_second":
|
248 |
-
"eval_steps_per_second": 2.
|
249 |
"step": 300
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
-
"grad_norm":
|
254 |
-
"learning_rate": 1.
|
255 |
-
"loss": 0.
|
256 |
"step": 320
|
257 |
},
|
258 |
{
|
259 |
-
"epoch": 0.
|
260 |
-
"eval_accuracy": 0.
|
261 |
-
"eval_loss": 0.
|
262 |
-
"eval_runtime":
|
263 |
-
"eval_samples_per_second":
|
264 |
-
"eval_steps_per_second": 2.
|
265 |
"step": 320
|
266 |
},
|
267 |
{
|
268 |
-
"epoch":
|
269 |
-
"grad_norm":
|
270 |
-
"learning_rate": 1.
|
271 |
-
"loss": 0.
|
272 |
"step": 340
|
273 |
},
|
274 |
{
|
275 |
-
"epoch":
|
276 |
-
"eval_accuracy": 0.
|
277 |
-
"eval_loss": 0.
|
278 |
-
"eval_runtime":
|
279 |
-
"eval_samples_per_second":
|
280 |
-
"eval_steps_per_second": 2.
|
281 |
"step": 340
|
282 |
},
|
283 |
{
|
284 |
-
"epoch": 1.
|
285 |
-
"grad_norm":
|
286 |
-
"learning_rate": 1.
|
287 |
-
"loss": 0.
|
288 |
"step": 360
|
289 |
},
|
290 |
{
|
291 |
-
"epoch": 1.
|
292 |
-
"eval_accuracy": 0.
|
293 |
-
"eval_loss": 0.
|
294 |
-
"eval_runtime":
|
295 |
-
"eval_samples_per_second":
|
296 |
-
"eval_steps_per_second": 2.
|
297 |
"step": 360
|
298 |
},
|
299 |
{
|
300 |
-
"epoch": 1.
|
301 |
-
"grad_norm":
|
302 |
-
"learning_rate": 1.
|
303 |
-
"loss": 0.
|
304 |
"step": 380
|
305 |
},
|
306 |
{
|
307 |
-
"epoch": 1.
|
308 |
-
"eval_accuracy": 0.
|
309 |
-
"eval_loss": 0.
|
310 |
-
"eval_runtime":
|
311 |
-
"eval_samples_per_second":
|
312 |
-
"eval_steps_per_second": 2.
|
313 |
"step": 380
|
314 |
},
|
315 |
{
|
316 |
-
"epoch": 1.
|
317 |
-
"grad_norm": 0.
|
318 |
-
"learning_rate": 1.
|
319 |
-
"loss": 0.
|
320 |
"step": 400
|
321 |
},
|
322 |
{
|
323 |
-
"epoch": 1.
|
324 |
-
"eval_accuracy": 0.
|
325 |
-
"eval_loss": 0.
|
326 |
-
"eval_runtime":
|
327 |
-
"eval_samples_per_second":
|
328 |
-
"eval_steps_per_second": 2.
|
329 |
"step": 400
|
330 |
},
|
331 |
{
|
332 |
-
"epoch": 1.
|
333 |
-
"grad_norm": 0.
|
334 |
-
"learning_rate": 1.
|
335 |
-
"loss": 0.
|
336 |
"step": 420
|
337 |
},
|
338 |
{
|
339 |
-
"epoch": 1.
|
340 |
-
"eval_accuracy": 0.
|
341 |
-
"eval_loss": 0.
|
342 |
-
"eval_runtime":
|
343 |
-
"eval_samples_per_second":
|
344 |
-
"eval_steps_per_second": 2.
|
345 |
"step": 420
|
346 |
},
|
347 |
{
|
348 |
-
"epoch": 1.
|
349 |
-
"grad_norm":
|
350 |
-
"learning_rate": 1.
|
351 |
-
"loss": 0.
|
352 |
"step": 440
|
353 |
},
|
354 |
{
|
355 |
-
"epoch": 1.
|
356 |
-
"eval_accuracy": 0.
|
357 |
-
"eval_loss": 0.
|
358 |
-
"eval_runtime":
|
359 |
-
"eval_samples_per_second":
|
360 |
-
"eval_steps_per_second": 2.
|
361 |
"step": 440
|
362 |
},
|
363 |
{
|
364 |
-
"epoch": 1.
|
365 |
-
"grad_norm":
|
366 |
-
"learning_rate": 1.
|
367 |
-
"loss": 0.
|
368 |
"step": 460
|
369 |
},
|
370 |
{
|
371 |
-
"epoch": 1.
|
372 |
-
"eval_accuracy": 0.
|
373 |
-
"eval_loss": 0.
|
374 |
-
"eval_runtime":
|
375 |
-
"eval_samples_per_second":
|
376 |
-
"eval_steps_per_second": 2.
|
377 |
"step": 460
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 1.
|
381 |
-
"grad_norm":
|
382 |
-
"learning_rate": 1.
|
383 |
-
"loss": 0.
|
384 |
"step": 480
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 1.
|
388 |
-
"eval_accuracy": 0.
|
389 |
-
"eval_loss": 0.
|
390 |
-
"eval_runtime":
|
391 |
-
"eval_samples_per_second":
|
392 |
-
"eval_steps_per_second": 2.
|
393 |
"step": 480
|
394 |
},
|
395 |
{
|
396 |
-
"epoch": 1.
|
397 |
-
"grad_norm":
|
398 |
-
"learning_rate": 1.
|
399 |
-
"loss": 0.
|
400 |
"step": 500
|
401 |
},
|
402 |
{
|
403 |
-
"epoch": 1.
|
404 |
-
"eval_accuracy": 0.
|
405 |
-
"eval_loss": 0.
|
406 |
-
"eval_runtime":
|
407 |
-
"eval_samples_per_second":
|
408 |
-
"eval_steps_per_second": 2.
|
409 |
"step": 500
|
410 |
-
},
|
411 |
-
{
|
412 |
-
"epoch": 1.5709969788519638,
|
413 |
-
"grad_norm": 0.41706299781799316,
|
414 |
-
"learning_rate": 1.3716012084592145e-05,
|
415 |
-
"loss": 0.321,
|
416 |
-
"step": 520
|
417 |
-
},
|
418 |
-
{
|
419 |
-
"epoch": 1.5709969788519638,
|
420 |
-
"eval_accuracy": 0.8758169934640523,
|
421 |
-
"eval_loss": 0.4749080538749695,
|
422 |
-
"eval_runtime": 16.3975,
|
423 |
-
"eval_samples_per_second": 9.331,
|
424 |
-
"eval_steps_per_second": 2.378,
|
425 |
-
"step": 520
|
426 |
-
},
|
427 |
-
{
|
428 |
-
"epoch": 1.6314199395770392,
|
429 |
-
"grad_norm": 0.012226684018969536,
|
430 |
-
"learning_rate": 1.3474320241691845e-05,
|
431 |
-
"loss": 0.1871,
|
432 |
-
"step": 540
|
433 |
-
},
|
434 |
-
{
|
435 |
-
"epoch": 1.6314199395770392,
|
436 |
-
"eval_accuracy": 0.9084967320261438,
|
437 |
-
"eval_loss": 0.4391900300979614,
|
438 |
-
"eval_runtime": 15.3076,
|
439 |
-
"eval_samples_per_second": 9.995,
|
440 |
-
"eval_steps_per_second": 2.548,
|
441 |
-
"step": 540
|
442 |
-
},
|
443 |
-
{
|
444 |
-
"epoch": 1.691842900302115,
|
445 |
-
"grad_norm": 0.008862942457199097,
|
446 |
-
"learning_rate": 1.3232628398791542e-05,
|
447 |
-
"loss": 0.1654,
|
448 |
-
"step": 560
|
449 |
-
},
|
450 |
-
{
|
451 |
-
"epoch": 1.691842900302115,
|
452 |
-
"eval_accuracy": 0.9084967320261438,
|
453 |
-
"eval_loss": 0.46628066897392273,
|
454 |
-
"eval_runtime": 15.645,
|
455 |
-
"eval_samples_per_second": 9.779,
|
456 |
-
"eval_steps_per_second": 2.493,
|
457 |
-
"step": 560
|
458 |
-
},
|
459 |
-
{
|
460 |
-
"epoch": 1.7522658610271904,
|
461 |
-
"grad_norm": 0.03276165947318077,
|
462 |
-
"learning_rate": 1.299093655589124e-05,
|
463 |
-
"loss": 0.3166,
|
464 |
-
"step": 580
|
465 |
-
},
|
466 |
-
{
|
467 |
-
"epoch": 1.7522658610271904,
|
468 |
-
"eval_accuracy": 0.8888888888888888,
|
469 |
-
"eval_loss": 0.5047788619995117,
|
470 |
-
"eval_runtime": 15.5009,
|
471 |
-
"eval_samples_per_second": 9.87,
|
472 |
-
"eval_steps_per_second": 2.516,
|
473 |
-
"step": 580
|
474 |
-
},
|
475 |
-
{
|
476 |
-
"epoch": 1.8126888217522659,
|
477 |
-
"grad_norm": 0.23161815106868744,
|
478 |
-
"learning_rate": 1.2749244712990937e-05,
|
479 |
-
"loss": 0.222,
|
480 |
-
"step": 600
|
481 |
-
},
|
482 |
-
{
|
483 |
-
"epoch": 1.8126888217522659,
|
484 |
-
"eval_accuracy": 0.9084967320261438,
|
485 |
-
"eval_loss": 0.4549576938152313,
|
486 |
-
"eval_runtime": 15.4555,
|
487 |
-
"eval_samples_per_second": 9.899,
|
488 |
-
"eval_steps_per_second": 2.523,
|
489 |
-
"step": 600
|
490 |
-
},
|
491 |
-
{
|
492 |
-
"epoch": 1.8731117824773413,
|
493 |
-
"grad_norm": 343.22900390625,
|
494 |
-
"learning_rate": 1.2507552870090635e-05,
|
495 |
-
"loss": 0.4299,
|
496 |
-
"step": 620
|
497 |
-
},
|
498 |
-
{
|
499 |
-
"epoch": 1.8731117824773413,
|
500 |
-
"eval_accuracy": 0.9084967320261438,
|
501 |
-
"eval_loss": 0.3444612920284271,
|
502 |
-
"eval_runtime": 15.5061,
|
503 |
-
"eval_samples_per_second": 9.867,
|
504 |
-
"eval_steps_per_second": 2.515,
|
505 |
-
"step": 620
|
506 |
-
},
|
507 |
-
{
|
508 |
-
"epoch": 1.9335347432024168,
|
509 |
-
"grad_norm": 0.07708082348108292,
|
510 |
-
"learning_rate": 1.2265861027190334e-05,
|
511 |
-
"loss": 0.0942,
|
512 |
-
"step": 640
|
513 |
-
},
|
514 |
-
{
|
515 |
-
"epoch": 1.9335347432024168,
|
516 |
-
"eval_accuracy": 0.9281045751633987,
|
517 |
-
"eval_loss": 0.3734738230705261,
|
518 |
-
"eval_runtime": 15.5297,
|
519 |
-
"eval_samples_per_second": 9.852,
|
520 |
-
"eval_steps_per_second": 2.511,
|
521 |
-
"step": 640
|
522 |
-
},
|
523 |
-
{
|
524 |
-
"epoch": 1.9939577039274925,
|
525 |
-
"grad_norm": 0.010122493840754032,
|
526 |
-
"learning_rate": 1.2024169184290032e-05,
|
527 |
-
"loss": 0.3991,
|
528 |
-
"step": 660
|
529 |
-
},
|
530 |
-
{
|
531 |
-
"epoch": 1.9939577039274925,
|
532 |
-
"eval_accuracy": 0.9084967320261438,
|
533 |
-
"eval_loss": 0.3646344840526581,
|
534 |
-
"eval_runtime": 15.4716,
|
535 |
-
"eval_samples_per_second": 9.889,
|
536 |
-
"eval_steps_per_second": 2.521,
|
537 |
-
"step": 660
|
538 |
-
},
|
539 |
-
{
|
540 |
-
"epoch": 2.054380664652568,
|
541 |
-
"grad_norm": 0.750132143497467,
|
542 |
-
"learning_rate": 1.178247734138973e-05,
|
543 |
-
"loss": 0.0581,
|
544 |
-
"step": 680
|
545 |
-
},
|
546 |
-
{
|
547 |
-
"epoch": 2.054380664652568,
|
548 |
-
"eval_accuracy": 0.9084967320261438,
|
549 |
-
"eval_loss": 0.3526937961578369,
|
550 |
-
"eval_runtime": 15.4654,
|
551 |
-
"eval_samples_per_second": 9.893,
|
552 |
-
"eval_steps_per_second": 2.522,
|
553 |
-
"step": 680
|
554 |
-
},
|
555 |
-
{
|
556 |
-
"epoch": 2.1148036253776437,
|
557 |
-
"grad_norm": 25.176610946655273,
|
558 |
-
"learning_rate": 1.1540785498489427e-05,
|
559 |
-
"loss": 0.2712,
|
560 |
-
"step": 700
|
561 |
-
},
|
562 |
-
{
|
563 |
-
"epoch": 2.1148036253776437,
|
564 |
-
"eval_accuracy": 0.9019607843137255,
|
565 |
-
"eval_loss": 0.42697274684906006,
|
566 |
-
"eval_runtime": 15.4239,
|
567 |
-
"eval_samples_per_second": 9.92,
|
568 |
-
"eval_steps_per_second": 2.529,
|
569 |
-
"step": 700
|
570 |
-
},
|
571 |
-
{
|
572 |
-
"epoch": 2.175226586102719,
|
573 |
-
"grad_norm": 0.046931881457567215,
|
574 |
-
"learning_rate": 1.1299093655589124e-05,
|
575 |
-
"loss": 0.0443,
|
576 |
-
"step": 720
|
577 |
-
},
|
578 |
-
{
|
579 |
-
"epoch": 2.175226586102719,
|
580 |
-
"eval_accuracy": 0.8954248366013072,
|
581 |
-
"eval_loss": 0.5462331771850586,
|
582 |
-
"eval_runtime": 15.4688,
|
583 |
-
"eval_samples_per_second": 9.891,
|
584 |
-
"eval_steps_per_second": 2.521,
|
585 |
-
"step": 720
|
586 |
-
},
|
587 |
-
{
|
588 |
-
"epoch": 2.2356495468277946,
|
589 |
-
"grad_norm": 0.033700473606586456,
|
590 |
-
"learning_rate": 1.1057401812688822e-05,
|
591 |
-
"loss": 0.3831,
|
592 |
-
"step": 740
|
593 |
-
},
|
594 |
-
{
|
595 |
-
"epoch": 2.2356495468277946,
|
596 |
-
"eval_accuracy": 0.9215686274509803,
|
597 |
-
"eval_loss": 0.3418585956096649,
|
598 |
-
"eval_runtime": 15.5047,
|
599 |
-
"eval_samples_per_second": 9.868,
|
600 |
-
"eval_steps_per_second": 2.515,
|
601 |
-
"step": 740
|
602 |
-
},
|
603 |
-
{
|
604 |
-
"epoch": 2.29607250755287,
|
605 |
-
"grad_norm": 0.046377379447221756,
|
606 |
-
"learning_rate": 1.0815709969788521e-05,
|
607 |
-
"loss": 0.2267,
|
608 |
-
"step": 760
|
609 |
-
},
|
610 |
-
{
|
611 |
-
"epoch": 2.29607250755287,
|
612 |
-
"eval_accuracy": 0.8888888888888888,
|
613 |
-
"eval_loss": 0.4924568831920624,
|
614 |
-
"eval_runtime": 15.5047,
|
615 |
-
"eval_samples_per_second": 9.868,
|
616 |
-
"eval_steps_per_second": 2.515,
|
617 |
-
"step": 760
|
618 |
-
},
|
619 |
-
{
|
620 |
-
"epoch": 2.3564954682779455,
|
621 |
-
"grad_norm": 9.31714916229248,
|
622 |
-
"learning_rate": 1.0574018126888219e-05,
|
623 |
-
"loss": 0.1821,
|
624 |
-
"step": 780
|
625 |
-
},
|
626 |
-
{
|
627 |
-
"epoch": 2.3564954682779455,
|
628 |
-
"eval_accuracy": 0.9215686274509803,
|
629 |
-
"eval_loss": 0.3624768853187561,
|
630 |
-
"eval_runtime": 15.502,
|
631 |
-
"eval_samples_per_second": 9.87,
|
632 |
-
"eval_steps_per_second": 2.516,
|
633 |
-
"step": 780
|
634 |
-
},
|
635 |
-
{
|
636 |
-
"epoch": 2.416918429003021,
|
637 |
-
"grad_norm": 112.68130493164062,
|
638 |
-
"learning_rate": 1.0332326283987916e-05,
|
639 |
-
"loss": 0.2926,
|
640 |
-
"step": 800
|
641 |
-
},
|
642 |
-
{
|
643 |
-
"epoch": 2.416918429003021,
|
644 |
-
"eval_accuracy": 0.9019607843137255,
|
645 |
-
"eval_loss": 0.3670673370361328,
|
646 |
-
"eval_runtime": 15.4876,
|
647 |
-
"eval_samples_per_second": 9.879,
|
648 |
-
"eval_steps_per_second": 2.518,
|
649 |
-
"step": 800
|
650 |
-
},
|
651 |
-
{
|
652 |
-
"epoch": 2.477341389728097,
|
653 |
-
"grad_norm": 0.23612752556800842,
|
654 |
-
"learning_rate": 1.0090634441087614e-05,
|
655 |
-
"loss": 0.2507,
|
656 |
-
"step": 820
|
657 |
-
},
|
658 |
-
{
|
659 |
-
"epoch": 2.477341389728097,
|
660 |
-
"eval_accuracy": 0.9019607843137255,
|
661 |
-
"eval_loss": 0.3853074610233307,
|
662 |
-
"eval_runtime": 15.494,
|
663 |
-
"eval_samples_per_second": 9.875,
|
664 |
-
"eval_steps_per_second": 2.517,
|
665 |
-
"step": 820
|
666 |
-
},
|
667 |
-
{
|
668 |
-
"epoch": 2.5377643504531724,
|
669 |
-
"grad_norm": 0.00892715621739626,
|
670 |
-
"learning_rate": 9.848942598187312e-06,
|
671 |
-
"loss": 0.2446,
|
672 |
-
"step": 840
|
673 |
-
},
|
674 |
-
{
|
675 |
-
"epoch": 2.5377643504531724,
|
676 |
-
"eval_accuracy": 0.8954248366013072,
|
677 |
-
"eval_loss": 0.4570922255516052,
|
678 |
-
"eval_runtime": 15.4901,
|
679 |
-
"eval_samples_per_second": 9.877,
|
680 |
-
"eval_steps_per_second": 2.518,
|
681 |
-
"step": 840
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 2.598187311178248,
|
685 |
-
"grad_norm": 0.08465878665447235,
|
686 |
-
"learning_rate": 9.60725075528701e-06,
|
687 |
-
"loss": 0.1926,
|
688 |
-
"step": 860
|
689 |
-
},
|
690 |
-
{
|
691 |
-
"epoch": 2.598187311178248,
|
692 |
-
"eval_accuracy": 0.8496732026143791,
|
693 |
-
"eval_loss": 0.5435793399810791,
|
694 |
-
"eval_runtime": 15.4883,
|
695 |
-
"eval_samples_per_second": 9.878,
|
696 |
-
"eval_steps_per_second": 2.518,
|
697 |
-
"step": 860
|
698 |
-
},
|
699 |
-
{
|
700 |
-
"epoch": 2.6586102719033233,
|
701 |
-
"grad_norm": 65.41895294189453,
|
702 |
-
"learning_rate": 9.365558912386707e-06,
|
703 |
-
"loss": 0.1725,
|
704 |
-
"step": 880
|
705 |
-
},
|
706 |
-
{
|
707 |
-
"epoch": 2.6586102719033233,
|
708 |
-
"eval_accuracy": 0.8496732026143791,
|
709 |
-
"eval_loss": 0.6575973629951477,
|
710 |
-
"eval_runtime": 15.4811,
|
711 |
-
"eval_samples_per_second": 9.883,
|
712 |
-
"eval_steps_per_second": 2.519,
|
713 |
-
"step": 880
|
714 |
-
},
|
715 |
-
{
|
716 |
-
"epoch": 2.719033232628399,
|
717 |
-
"grad_norm": 0.19986489415168762,
|
718 |
-
"learning_rate": 9.123867069486404e-06,
|
719 |
-
"loss": 0.2033,
|
720 |
-
"step": 900
|
721 |
-
},
|
722 |
-
{
|
723 |
-
"epoch": 2.719033232628399,
|
724 |
-
"eval_accuracy": 0.9019607843137255,
|
725 |
-
"eval_loss": 0.4772132933139801,
|
726 |
-
"eval_runtime": 15.4823,
|
727 |
-
"eval_samples_per_second": 9.882,
|
728 |
-
"eval_steps_per_second": 2.519,
|
729 |
-
"step": 900
|
730 |
-
},
|
731 |
-
{
|
732 |
-
"epoch": 2.7794561933534743,
|
733 |
-
"grad_norm": 0.02453712560236454,
|
734 |
-
"learning_rate": 8.882175226586104e-06,
|
735 |
-
"loss": 0.0095,
|
736 |
-
"step": 920
|
737 |
-
},
|
738 |
-
{
|
739 |
-
"epoch": 2.7794561933534743,
|
740 |
-
"eval_accuracy": 0.9150326797385621,
|
741 |
-
"eval_loss": 0.41026702523231506,
|
742 |
-
"eval_runtime": 15.4862,
|
743 |
-
"eval_samples_per_second": 9.88,
|
744 |
-
"eval_steps_per_second": 2.518,
|
745 |
-
"step": 920
|
746 |
-
},
|
747 |
-
{
|
748 |
-
"epoch": 2.8398791540785497,
|
749 |
-
"grad_norm": 0.09184593707323074,
|
750 |
-
"learning_rate": 8.640483383685801e-06,
|
751 |
-
"loss": 0.2896,
|
752 |
-
"step": 940
|
753 |
-
},
|
754 |
-
{
|
755 |
-
"epoch": 2.8398791540785497,
|
756 |
-
"eval_accuracy": 0.9084967320261438,
|
757 |
-
"eval_loss": 0.4332799017429352,
|
758 |
-
"eval_runtime": 15.4949,
|
759 |
-
"eval_samples_per_second": 9.874,
|
760 |
-
"eval_steps_per_second": 2.517,
|
761 |
-
"step": 940
|
762 |
-
},
|
763 |
-
{
|
764 |
-
"epoch": 2.900302114803625,
|
765 |
-
"grad_norm": 88.6507339477539,
|
766 |
-
"learning_rate": 8.398791540785499e-06,
|
767 |
-
"loss": 0.2661,
|
768 |
-
"step": 960
|
769 |
-
},
|
770 |
-
{
|
771 |
-
"epoch": 2.900302114803625,
|
772 |
-
"eval_accuracy": 0.8888888888888888,
|
773 |
-
"eval_loss": 0.5792773962020874,
|
774 |
-
"eval_runtime": 15.4764,
|
775 |
-
"eval_samples_per_second": 9.886,
|
776 |
-
"eval_steps_per_second": 2.52,
|
777 |
-
"step": 960
|
778 |
-
},
|
779 |
-
{
|
780 |
-
"epoch": 2.9607250755287007,
|
781 |
-
"grad_norm": 0.015309321694076061,
|
782 |
-
"learning_rate": 8.157099697885196e-06,
|
783 |
-
"loss": 0.1338,
|
784 |
-
"step": 980
|
785 |
-
},
|
786 |
-
{
|
787 |
-
"epoch": 2.9607250755287007,
|
788 |
-
"eval_accuracy": 0.8954248366013072,
|
789 |
-
"eval_loss": 0.454254150390625,
|
790 |
-
"eval_runtime": 15.4888,
|
791 |
-
"eval_samples_per_second": 9.878,
|
792 |
-
"eval_steps_per_second": 2.518,
|
793 |
-
"step": 980
|
794 |
-
},
|
795 |
-
{
|
796 |
-
"epoch": 3.0211480362537766,
|
797 |
-
"grad_norm": 0.06863677501678467,
|
798 |
-
"learning_rate": 7.915407854984894e-06,
|
799 |
-
"loss": 0.0751,
|
800 |
-
"step": 1000
|
801 |
-
},
|
802 |
-
{
|
803 |
-
"epoch": 3.0211480362537766,
|
804 |
-
"eval_accuracy": 0.8954248366013072,
|
805 |
-
"eval_loss": 0.5028541684150696,
|
806 |
-
"eval_runtime": 15.4598,
|
807 |
-
"eval_samples_per_second": 9.897,
|
808 |
-
"eval_steps_per_second": 2.523,
|
809 |
-
"step": 1000
|
810 |
-
},
|
811 |
-
{
|
812 |
-
"epoch": 3.081570996978852,
|
813 |
-
"grad_norm": 0.047077979892492294,
|
814 |
-
"learning_rate": 7.673716012084593e-06,
|
815 |
-
"loss": 0.2093,
|
816 |
-
"step": 1020
|
817 |
-
},
|
818 |
-
{
|
819 |
-
"epoch": 3.081570996978852,
|
820 |
-
"eval_accuracy": 0.9019607843137255,
|
821 |
-
"eval_loss": 0.4630826711654663,
|
822 |
-
"eval_runtime": 16.4745,
|
823 |
-
"eval_samples_per_second": 9.287,
|
824 |
-
"eval_steps_per_second": 2.367,
|
825 |
-
"step": 1020
|
826 |
-
},
|
827 |
-
{
|
828 |
-
"epoch": 3.1419939577039275,
|
829 |
-
"grad_norm": 0.07947070896625519,
|
830 |
-
"learning_rate": 7.432024169184291e-06,
|
831 |
-
"loss": 0.2436,
|
832 |
-
"step": 1040
|
833 |
-
},
|
834 |
-
{
|
835 |
-
"epoch": 3.1419939577039275,
|
836 |
-
"eval_accuracy": 0.869281045751634,
|
837 |
-
"eval_loss": 0.5888116359710693,
|
838 |
-
"eval_runtime": 15.2662,
|
839 |
-
"eval_samples_per_second": 10.022,
|
840 |
-
"eval_steps_per_second": 2.555,
|
841 |
-
"step": 1040
|
842 |
-
},
|
843 |
-
{
|
844 |
-
"epoch": 3.202416918429003,
|
845 |
-
"grad_norm": 1.2857632637023926,
|
846 |
-
"learning_rate": 7.190332326283988e-06,
|
847 |
-
"loss": 0.1375,
|
848 |
-
"step": 1060
|
849 |
-
},
|
850 |
-
{
|
851 |
-
"epoch": 3.202416918429003,
|
852 |
-
"eval_accuracy": 0.8888888888888888,
|
853 |
-
"eval_loss": 0.6457459926605225,
|
854 |
-
"eval_runtime": 15.6557,
|
855 |
-
"eval_samples_per_second": 9.773,
|
856 |
-
"eval_steps_per_second": 2.491,
|
857 |
-
"step": 1060
|
858 |
-
},
|
859 |
-
{
|
860 |
-
"epoch": 3.2628398791540785,
|
861 |
-
"grad_norm": 0.029293788596987724,
|
862 |
-
"learning_rate": 6.948640483383686e-06,
|
863 |
-
"loss": 0.0049,
|
864 |
-
"step": 1080
|
865 |
-
},
|
866 |
-
{
|
867 |
-
"epoch": 3.2628398791540785,
|
868 |
-
"eval_accuracy": 0.8888888888888888,
|
869 |
-
"eval_loss": 0.6600757837295532,
|
870 |
-
"eval_runtime": 15.5566,
|
871 |
-
"eval_samples_per_second": 9.835,
|
872 |
-
"eval_steps_per_second": 2.507,
|
873 |
-
"step": 1080
|
874 |
-
},
|
875 |
-
{
|
876 |
-
"epoch": 3.323262839879154,
|
877 |
-
"grad_norm": 0.01973886974155903,
|
878 |
-
"learning_rate": 6.706948640483384e-06,
|
879 |
-
"loss": 0.0089,
|
880 |
-
"step": 1100
|
881 |
-
},
|
882 |
-
{
|
883 |
-
"epoch": 3.323262839879154,
|
884 |
-
"eval_accuracy": 0.8823529411764706,
|
885 |
-
"eval_loss": 0.6461706161499023,
|
886 |
-
"eval_runtime": 15.4515,
|
887 |
-
"eval_samples_per_second": 9.902,
|
888 |
-
"eval_steps_per_second": 2.524,
|
889 |
-
"step": 1100
|
890 |
-
},
|
891 |
-
{
|
892 |
-
"epoch": 3.38368580060423,
|
893 |
-
"grad_norm": 0.0038618145044893026,
|
894 |
-
"learning_rate": 6.465256797583082e-06,
|
895 |
-
"loss": 0.0616,
|
896 |
-
"step": 1120
|
897 |
-
},
|
898 |
-
{
|
899 |
-
"epoch": 3.38368580060423,
|
900 |
-
"eval_accuracy": 0.8888888888888888,
|
901 |
-
"eval_loss": 0.6607339978218079,
|
902 |
-
"eval_runtime": 15.5198,
|
903 |
-
"eval_samples_per_second": 9.858,
|
904 |
-
"eval_steps_per_second": 2.513,
|
905 |
-
"step": 1120
|
906 |
-
},
|
907 |
-
{
|
908 |
-
"epoch": 3.4441087613293053,
|
909 |
-
"grad_norm": 0.009797470644116402,
|
910 |
-
"learning_rate": 6.22356495468278e-06,
|
911 |
-
"loss": 0.006,
|
912 |
-
"step": 1140
|
913 |
-
},
|
914 |
-
{
|
915 |
-
"epoch": 3.4441087613293053,
|
916 |
-
"eval_accuracy": 0.9019607843137255,
|
917 |
-
"eval_loss": 0.6243405938148499,
|
918 |
-
"eval_runtime": 15.5129,
|
919 |
-
"eval_samples_per_second": 9.863,
|
920 |
-
"eval_steps_per_second": 2.514,
|
921 |
-
"step": 1140
|
922 |
-
},
|
923 |
-
{
|
924 |
-
"epoch": 3.504531722054381,
|
925 |
-
"grad_norm": 0.01924210786819458,
|
926 |
-
"learning_rate": 5.981873111782478e-06,
|
927 |
-
"loss": 0.1769,
|
928 |
-
"step": 1160
|
929 |
-
},
|
930 |
-
{
|
931 |
-
"epoch": 3.504531722054381,
|
932 |
-
"eval_accuracy": 0.9019607843137255,
|
933 |
-
"eval_loss": 0.5256864428520203,
|
934 |
-
"eval_runtime": 15.4982,
|
935 |
-
"eval_samples_per_second": 9.872,
|
936 |
-
"eval_steps_per_second": 2.516,
|
937 |
-
"step": 1160
|
938 |
-
},
|
939 |
-
{
|
940 |
-
"epoch": 3.5649546827794563,
|
941 |
-
"grad_norm": 0.06478149443864822,
|
942 |
-
"learning_rate": 5.7401812688821754e-06,
|
943 |
-
"loss": 0.0044,
|
944 |
-
"step": 1180
|
945 |
-
},
|
946 |
-
{
|
947 |
-
"epoch": 3.5649546827794563,
|
948 |
-
"eval_accuracy": 0.9084967320261438,
|
949 |
-
"eval_loss": 0.5507912039756775,
|
950 |
-
"eval_runtime": 15.4829,
|
951 |
-
"eval_samples_per_second": 9.882,
|
952 |
-
"eval_steps_per_second": 2.519,
|
953 |
-
"step": 1180
|
954 |
-
},
|
955 |
-
{
|
956 |
-
"epoch": 3.6253776435045317,
|
957 |
-
"grad_norm": 0.14462168514728546,
|
958 |
-
"learning_rate": 5.498489425981873e-06,
|
959 |
-
"loss": 0.2295,
|
960 |
-
"step": 1200
|
961 |
-
},
|
962 |
-
{
|
963 |
-
"epoch": 3.6253776435045317,
|
964 |
-
"eval_accuracy": 0.9150326797385621,
|
965 |
-
"eval_loss": 0.48460787534713745,
|
966 |
-
"eval_runtime": 15.4689,
|
967 |
-
"eval_samples_per_second": 9.891,
|
968 |
-
"eval_steps_per_second": 2.521,
|
969 |
-
"step": 1200
|
970 |
-
},
|
971 |
-
{
|
972 |
-
"epoch": 3.685800604229607,
|
973 |
-
"grad_norm": 0.004326341208070517,
|
974 |
-
"learning_rate": 5.2567975830815706e-06,
|
975 |
-
"loss": 0.1175,
|
976 |
-
"step": 1220
|
977 |
-
},
|
978 |
-
{
|
979 |
-
"epoch": 3.685800604229607,
|
980 |
-
"eval_accuracy": 0.9019607843137255,
|
981 |
-
"eval_loss": 0.4763535261154175,
|
982 |
-
"eval_runtime": 15.4639,
|
983 |
-
"eval_samples_per_second": 9.894,
|
984 |
-
"eval_steps_per_second": 2.522,
|
985 |
-
"step": 1220
|
986 |
-
},
|
987 |
-
{
|
988 |
-
"epoch": 3.7462235649546827,
|
989 |
-
"grad_norm": 0.016803044825792313,
|
990 |
-
"learning_rate": 5.01510574018127e-06,
|
991 |
-
"loss": 0.0746,
|
992 |
-
"step": 1240
|
993 |
-
},
|
994 |
-
{
|
995 |
-
"epoch": 3.7462235649546827,
|
996 |
-
"eval_accuracy": 0.9019607843137255,
|
997 |
-
"eval_loss": 0.4760640561580658,
|
998 |
-
"eval_runtime": 15.4735,
|
999 |
-
"eval_samples_per_second": 9.888,
|
1000 |
-
"eval_steps_per_second": 2.52,
|
1001 |
-
"step": 1240
|
1002 |
-
},
|
1003 |
-
{
|
1004 |
-
"epoch": 3.806646525679758,
|
1005 |
-
"grad_norm": 0.024552155286073685,
|
1006 |
-
"learning_rate": 4.773413897280967e-06,
|
1007 |
-
"loss": 0.0222,
|
1008 |
-
"step": 1260
|
1009 |
-
},
|
1010 |
-
{
|
1011 |
-
"epoch": 3.806646525679758,
|
1012 |
-
"eval_accuracy": 0.9019607843137255,
|
1013 |
-
"eval_loss": 0.48361214995384216,
|
1014 |
-
"eval_runtime": 15.4614,
|
1015 |
-
"eval_samples_per_second": 9.896,
|
1016 |
-
"eval_steps_per_second": 2.522,
|
1017 |
-
"step": 1260
|
1018 |
-
},
|
1019 |
-
{
|
1020 |
-
"epoch": 3.8670694864048336,
|
1021 |
-
"grad_norm": 0.04030178114771843,
|
1022 |
-
"learning_rate": 4.531722054380665e-06,
|
1023 |
-
"loss": 0.0012,
|
1024 |
-
"step": 1280
|
1025 |
-
},
|
1026 |
-
{
|
1027 |
-
"epoch": 3.8670694864048336,
|
1028 |
-
"eval_accuracy": 0.9215686274509803,
|
1029 |
-
"eval_loss": 0.4774629771709442,
|
1030 |
-
"eval_runtime": 15.4388,
|
1031 |
-
"eval_samples_per_second": 9.91,
|
1032 |
-
"eval_steps_per_second": 2.526,
|
1033 |
-
"step": 1280
|
1034 |
-
},
|
1035 |
-
{
|
1036 |
-
"epoch": 3.9274924471299095,
|
1037 |
-
"grad_norm": 0.030293526127934456,
|
1038 |
-
"learning_rate": 4.2900302114803626e-06,
|
1039 |
-
"loss": 0.2131,
|
1040 |
-
"step": 1300
|
1041 |
-
},
|
1042 |
-
{
|
1043 |
-
"epoch": 3.9274924471299095,
|
1044 |
-
"eval_accuracy": 0.9019607843137255,
|
1045 |
-
"eval_loss": 0.46071678400039673,
|
1046 |
-
"eval_runtime": 15.4357,
|
1047 |
-
"eval_samples_per_second": 9.912,
|
1048 |
-
"eval_steps_per_second": 2.527,
|
1049 |
-
"step": 1300
|
1050 |
-
},
|
1051 |
-
{
|
1052 |
-
"epoch": 3.987915407854985,
|
1053 |
-
"grad_norm": 0.04355171322822571,
|
1054 |
-
"learning_rate": 4.048338368580061e-06,
|
1055 |
-
"loss": 0.0006,
|
1056 |
-
"step": 1320
|
1057 |
-
},
|
1058 |
-
{
|
1059 |
-
"epoch": 3.987915407854985,
|
1060 |
-
"eval_accuracy": 0.9084967320261438,
|
1061 |
-
"eval_loss": 0.4934905767440796,
|
1062 |
-
"eval_runtime": 15.4993,
|
1063 |
-
"eval_samples_per_second": 9.871,
|
1064 |
-
"eval_steps_per_second": 2.516,
|
1065 |
-
"step": 1320
|
1066 |
-
},
|
1067 |
-
{
|
1068 |
-
"epoch": 4.04833836858006,
|
1069 |
-
"grad_norm": 0.023308318108320236,
|
1070 |
-
"learning_rate": 3.8066465256797586e-06,
|
1071 |
-
"loss": 0.0758,
|
1072 |
-
"step": 1340
|
1073 |
-
},
|
1074 |
-
{
|
1075 |
-
"epoch": 4.04833836858006,
|
1076 |
-
"eval_accuracy": 0.9019607843137255,
|
1077 |
-
"eval_loss": 0.4591919183731079,
|
1078 |
-
"eval_runtime": 15.4907,
|
1079 |
-
"eval_samples_per_second": 9.877,
|
1080 |
-
"eval_steps_per_second": 2.518,
|
1081 |
-
"step": 1340
|
1082 |
-
},
|
1083 |
-
{
|
1084 |
-
"epoch": 4.108761329305136,
|
1085 |
-
"grad_norm": 0.007429028861224651,
|
1086 |
-
"learning_rate": 3.564954682779456e-06,
|
1087 |
-
"loss": 0.1466,
|
1088 |
-
"step": 1360
|
1089 |
-
},
|
1090 |
-
{
|
1091 |
-
"epoch": 4.108761329305136,
|
1092 |
-
"eval_accuracy": 0.9084967320261438,
|
1093 |
-
"eval_loss": 0.4464338719844818,
|
1094 |
-
"eval_runtime": 15.4771,
|
1095 |
-
"eval_samples_per_second": 9.886,
|
1096 |
-
"eval_steps_per_second": 2.52,
|
1097 |
-
"step": 1360
|
1098 |
-
},
|
1099 |
-
{
|
1100 |
-
"epoch": 4.169184290030212,
|
1101 |
-
"grad_norm": 0.019125748425722122,
|
1102 |
-
"learning_rate": 3.3232628398791546e-06,
|
1103 |
-
"loss": 0.0488,
|
1104 |
-
"step": 1380
|
1105 |
-
},
|
1106 |
-
{
|
1107 |
-
"epoch": 4.169184290030212,
|
1108 |
-
"eval_accuracy": 0.9084967320261438,
|
1109 |
-
"eval_loss": 0.4816044867038727,
|
1110 |
-
"eval_runtime": 15.4856,
|
1111 |
-
"eval_samples_per_second": 9.88,
|
1112 |
-
"eval_steps_per_second": 2.518,
|
1113 |
-
"step": 1380
|
1114 |
-
},
|
1115 |
-
{
|
1116 |
-
"epoch": 4.229607250755287,
|
1117 |
-
"grad_norm": 0.02935463935136795,
|
1118 |
-
"learning_rate": 3.081570996978852e-06,
|
1119 |
-
"loss": 0.0014,
|
1120 |
-
"step": 1400
|
1121 |
-
},
|
1122 |
-
{
|
1123 |
-
"epoch": 4.229607250755287,
|
1124 |
-
"eval_accuracy": 0.9150326797385621,
|
1125 |
-
"eval_loss": 0.4570343494415283,
|
1126 |
-
"eval_runtime": 15.452,
|
1127 |
-
"eval_samples_per_second": 9.902,
|
1128 |
-
"eval_steps_per_second": 2.524,
|
1129 |
-
"step": 1400
|
1130 |
-
},
|
1131 |
-
{
|
1132 |
-
"epoch": 4.290030211480363,
|
1133 |
-
"grad_norm": 0.05864783003926277,
|
1134 |
-
"learning_rate": 2.83987915407855e-06,
|
1135 |
-
"loss": 0.082,
|
1136 |
-
"step": 1420
|
1137 |
-
},
|
1138 |
-
{
|
1139 |
-
"epoch": 4.290030211480363,
|
1140 |
-
"eval_accuracy": 0.9215686274509803,
|
1141 |
-
"eval_loss": 0.45447495579719543,
|
1142 |
-
"eval_runtime": 15.4821,
|
1143 |
-
"eval_samples_per_second": 9.882,
|
1144 |
-
"eval_steps_per_second": 2.519,
|
1145 |
-
"step": 1420
|
1146 |
-
},
|
1147 |
-
{
|
1148 |
-
"epoch": 4.350453172205438,
|
1149 |
-
"grad_norm": 1.1889474391937256,
|
1150 |
-
"learning_rate": 2.598187311178248e-06,
|
1151 |
-
"loss": 0.0009,
|
1152 |
-
"step": 1440
|
1153 |
-
},
|
1154 |
-
{
|
1155 |
-
"epoch": 4.350453172205438,
|
1156 |
-
"eval_accuracy": 0.9150326797385621,
|
1157 |
-
"eval_loss": 0.4721324145793915,
|
1158 |
-
"eval_runtime": 15.4932,
|
1159 |
-
"eval_samples_per_second": 9.875,
|
1160 |
-
"eval_steps_per_second": 2.517,
|
1161 |
-
"step": 1440
|
1162 |
-
},
|
1163 |
-
{
|
1164 |
-
"epoch": 4.410876132930514,
|
1165 |
-
"grad_norm": 0.017764601856470108,
|
1166 |
-
"learning_rate": 2.3564954682779457e-06,
|
1167 |
-
"loss": 0.0008,
|
1168 |
-
"step": 1460
|
1169 |
-
},
|
1170 |
-
{
|
1171 |
-
"epoch": 4.410876132930514,
|
1172 |
-
"eval_accuracy": 0.9215686274509803,
|
1173 |
-
"eval_loss": 0.4873809814453125,
|
1174 |
-
"eval_runtime": 15.477,
|
1175 |
-
"eval_samples_per_second": 9.886,
|
1176 |
-
"eval_steps_per_second": 2.52,
|
1177 |
-
"step": 1460
|
1178 |
-
},
|
1179 |
-
{
|
1180 |
-
"epoch": 4.471299093655589,
|
1181 |
-
"grad_norm": 0.016238484531641006,
|
1182 |
-
"learning_rate": 2.1148036253776437e-06,
|
1183 |
-
"loss": 0.0014,
|
1184 |
-
"step": 1480
|
1185 |
-
},
|
1186 |
-
{
|
1187 |
-
"epoch": 4.471299093655589,
|
1188 |
-
"eval_accuracy": 0.9150326797385621,
|
1189 |
-
"eval_loss": 0.5002758502960205,
|
1190 |
-
"eval_runtime": 15.4881,
|
1191 |
-
"eval_samples_per_second": 9.879,
|
1192 |
-
"eval_steps_per_second": 2.518,
|
1193 |
-
"step": 1480
|
1194 |
-
},
|
1195 |
-
{
|
1196 |
-
"epoch": 4.531722054380665,
|
1197 |
-
"grad_norm": 0.037868522107601166,
|
1198 |
-
"learning_rate": 1.8731117824773415e-06,
|
1199 |
-
"loss": 0.1612,
|
1200 |
-
"step": 1500
|
1201 |
-
},
|
1202 |
-
{
|
1203 |
-
"epoch": 4.531722054380665,
|
1204 |
-
"eval_accuracy": 0.9150326797385621,
|
1205 |
-
"eval_loss": 0.5064195394515991,
|
1206 |
-
"eval_runtime": 15.5013,
|
1207 |
-
"eval_samples_per_second": 9.87,
|
1208 |
-
"eval_steps_per_second": 2.516,
|
1209 |
-
"step": 1500
|
1210 |
-
},
|
1211 |
-
{
|
1212 |
-
"epoch": 4.59214501510574,
|
1213 |
-
"grad_norm": 0.01508911419659853,
|
1214 |
-
"learning_rate": 1.6314199395770395e-06,
|
1215 |
-
"loss": 0.2079,
|
1216 |
-
"step": 1520
|
1217 |
-
},
|
1218 |
-
{
|
1219 |
-
"epoch": 4.59214501510574,
|
1220 |
-
"eval_accuracy": 0.9150326797385621,
|
1221 |
-
"eval_loss": 0.4994471073150635,
|
1222 |
-
"eval_runtime": 16.27,
|
1223 |
-
"eval_samples_per_second": 9.404,
|
1224 |
-
"eval_steps_per_second": 2.397,
|
1225 |
-
"step": 1520
|
1226 |
-
},
|
1227 |
-
{
|
1228 |
-
"epoch": 4.652567975830816,
|
1229 |
-
"grad_norm": 0.037796132266521454,
|
1230 |
-
"learning_rate": 1.3897280966767373e-06,
|
1231 |
-
"loss": 0.1423,
|
1232 |
-
"step": 1540
|
1233 |
-
},
|
1234 |
-
{
|
1235 |
-
"epoch": 4.652567975830816,
|
1236 |
-
"eval_accuracy": 0.9150326797385621,
|
1237 |
-
"eval_loss": 0.4834767282009125,
|
1238 |
-
"eval_runtime": 15.2545,
|
1239 |
-
"eval_samples_per_second": 10.03,
|
1240 |
-
"eval_steps_per_second": 2.557,
|
1241 |
-
"step": 1540
|
1242 |
-
},
|
1243 |
-
{
|
1244 |
-
"epoch": 4.712990936555891,
|
1245 |
-
"grad_norm": 0.04188241437077522,
|
1246 |
-
"learning_rate": 1.1480362537764353e-06,
|
1247 |
-
"loss": 0.0009,
|
1248 |
-
"step": 1560
|
1249 |
-
},
|
1250 |
-
{
|
1251 |
-
"epoch": 4.712990936555891,
|
1252 |
-
"eval_accuracy": 0.9084967320261438,
|
1253 |
-
"eval_loss": 0.4825386703014374,
|
1254 |
-
"eval_runtime": 15.7256,
|
1255 |
-
"eval_samples_per_second": 9.729,
|
1256 |
-
"eval_steps_per_second": 2.48,
|
1257 |
-
"step": 1560
|
1258 |
-
},
|
1259 |
-
{
|
1260 |
-
"epoch": 4.7734138972809665,
|
1261 |
-
"grad_norm": 0.00891907513141632,
|
1262 |
-
"learning_rate": 9.063444108761329e-07,
|
1263 |
-
"loss": 0.0017,
|
1264 |
-
"step": 1580
|
1265 |
-
},
|
1266 |
-
{
|
1267 |
-
"epoch": 4.7734138972809665,
|
1268 |
-
"eval_accuracy": 0.9084967320261438,
|
1269 |
-
"eval_loss": 0.4918363392353058,
|
1270 |
-
"eval_runtime": 15.5035,
|
1271 |
-
"eval_samples_per_second": 9.869,
|
1272 |
-
"eval_steps_per_second": 2.516,
|
1273 |
-
"step": 1580
|
1274 |
-
},
|
1275 |
-
{
|
1276 |
-
"epoch": 4.833836858006042,
|
1277 |
-
"grad_norm": 0.02154299058020115,
|
1278 |
-
"learning_rate": 6.646525679758309e-07,
|
1279 |
-
"loss": 0.0648,
|
1280 |
-
"step": 1600
|
1281 |
-
},
|
1282 |
-
{
|
1283 |
-
"epoch": 4.833836858006042,
|
1284 |
-
"eval_accuracy": 0.9150326797385621,
|
1285 |
-
"eval_loss": 0.4916614294052124,
|
1286 |
-
"eval_runtime": 15.4748,
|
1287 |
-
"eval_samples_per_second": 9.887,
|
1288 |
-
"eval_steps_per_second": 2.52,
|
1289 |
-
"step": 1600
|
1290 |
-
},
|
1291 |
-
{
|
1292 |
-
"epoch": 4.8942598187311175,
|
1293 |
-
"grad_norm": 1.6405360698699951,
|
1294 |
-
"learning_rate": 4.2296072507552877e-07,
|
1295 |
-
"loss": 0.0531,
|
1296 |
-
"step": 1620
|
1297 |
-
},
|
1298 |
-
{
|
1299 |
-
"epoch": 4.8942598187311175,
|
1300 |
-
"eval_accuracy": 0.9084967320261438,
|
1301 |
-
"eval_loss": 0.49186328053474426,
|
1302 |
-
"eval_runtime": 15.5247,
|
1303 |
-
"eval_samples_per_second": 9.855,
|
1304 |
-
"eval_steps_per_second": 2.512,
|
1305 |
-
"step": 1620
|
1306 |
-
},
|
1307 |
-
{
|
1308 |
-
"epoch": 4.954682779456194,
|
1309 |
-
"grad_norm": 0.05020515248179436,
|
1310 |
-
"learning_rate": 1.812688821752266e-07,
|
1311 |
-
"loss": 0.0008,
|
1312 |
-
"step": 1640
|
1313 |
-
},
|
1314 |
-
{
|
1315 |
-
"epoch": 4.954682779456194,
|
1316 |
-
"eval_accuracy": 0.9084967320261438,
|
1317 |
-
"eval_loss": 0.49449607729911804,
|
1318 |
-
"eval_runtime": 15.5248,
|
1319 |
-
"eval_samples_per_second": 9.855,
|
1320 |
-
"eval_steps_per_second": 2.512,
|
1321 |
-
"step": 1640
|
1322 |
}
|
1323 |
],
|
1324 |
"logging_steps": 20,
|
1325 |
-
"max_steps":
|
1326 |
"num_input_tokens_seen": 0,
|
1327 |
"num_train_epochs": 5,
|
1328 |
"save_steps": 500,
|
@@ -1333,12 +421,12 @@
|
|
1333 |
"should_evaluate": false,
|
1334 |
"should_log": false,
|
1335 |
"should_save": true,
|
1336 |
-
"should_training_stop":
|
1337 |
},
|
1338 |
"attributes": {}
|
1339 |
}
|
1340 |
},
|
1341 |
-
"total_flos":
|
1342 |
"train_batch_size": 4,
|
1343 |
"trial_name": null,
|
1344 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.2911098897457123,
|
3 |
+
"best_model_checkpoint": "./results/checkpoint-280",
|
4 |
+
"epoch": 1.4326647564469914,
|
5 |
"eval_steps": 20,
|
6 |
+
"global_step": 500,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.05730659025787966,
|
13 |
+
"grad_norm": 14.95106029510498,
|
14 |
+
"learning_rate": 1.9770773638968482e-05,
|
15 |
+
"loss": 0.5908,
|
16 |
"step": 20
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.05730659025787966,
|
20 |
+
"eval_accuracy": 0.7974683544303798,
|
21 |
+
"eval_loss": 0.44761696457862854,
|
22 |
+
"eval_runtime": 12.826,
|
23 |
+
"eval_samples_per_second": 12.319,
|
24 |
+
"eval_steps_per_second": 3.119,
|
25 |
"step": 20
|
26 |
},
|
27 |
{
|
28 |
+
"epoch": 0.11461318051575932,
|
29 |
+
"grad_norm": 16.47698402404785,
|
30 |
+
"learning_rate": 1.9541547277936966e-05,
|
31 |
+
"loss": 0.543,
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.11461318051575932,
|
36 |
+
"eval_accuracy": 0.7721518987341772,
|
37 |
+
"eval_loss": 0.4422585070133209,
|
38 |
+
"eval_runtime": 13.5793,
|
39 |
+
"eval_samples_per_second": 11.635,
|
40 |
+
"eval_steps_per_second": 2.946,
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
+
"epoch": 0.17191977077363896,
|
45 |
+
"grad_norm": 22.875091552734375,
|
46 |
+
"learning_rate": 1.9312320916905443e-05,
|
47 |
+
"loss": 0.5093,
|
48 |
"step": 60
|
49 |
},
|
50 |
{
|
51 |
+
"epoch": 0.17191977077363896,
|
52 |
+
"eval_accuracy": 0.7721518987341772,
|
53 |
+
"eval_loss": 0.5881978869438171,
|
54 |
+
"eval_runtime": 14.7375,
|
55 |
+
"eval_samples_per_second": 10.721,
|
56 |
+
"eval_steps_per_second": 2.714,
|
57 |
"step": 60
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.22922636103151864,
|
61 |
+
"grad_norm": 6.222044944763184,
|
62 |
+
"learning_rate": 1.9083094555873927e-05,
|
63 |
+
"loss": 0.5186,
|
64 |
"step": 80
|
65 |
},
|
66 |
{
|
67 |
+
"epoch": 0.22922636103151864,
|
68 |
+
"eval_accuracy": 0.7658227848101266,
|
69 |
+
"eval_loss": 0.6422034502029419,
|
70 |
+
"eval_runtime": 14.6414,
|
71 |
+
"eval_samples_per_second": 10.791,
|
72 |
+
"eval_steps_per_second": 2.732,
|
73 |
"step": 80
|
74 |
},
|
75 |
{
|
76 |
+
"epoch": 0.28653295128939826,
|
77 |
+
"grad_norm": 10.637746810913086,
|
78 |
+
"learning_rate": 1.8853868194842408e-05,
|
79 |
+
"loss": 0.502,
|
80 |
"step": 100
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 0.28653295128939826,
|
84 |
+
"eval_accuracy": 0.7658227848101266,
|
85 |
+
"eval_loss": 0.9381818175315857,
|
86 |
+
"eval_runtime": 14.572,
|
87 |
+
"eval_samples_per_second": 10.843,
|
88 |
+
"eval_steps_per_second": 2.745,
|
89 |
"step": 100
|
90 |
},
|
91 |
{
|
92 |
+
"epoch": 0.3438395415472779,
|
93 |
+
"grad_norm": 8.144033432006836,
|
94 |
+
"learning_rate": 1.8624641833810892e-05,
|
95 |
+
"loss": 0.573,
|
96 |
"step": 120
|
97 |
},
|
98 |
{
|
99 |
+
"epoch": 0.3438395415472779,
|
100 |
+
"eval_accuracy": 0.8227848101265823,
|
101 |
+
"eval_loss": 0.4263954758644104,
|
102 |
+
"eval_runtime": 14.6662,
|
103 |
+
"eval_samples_per_second": 10.773,
|
104 |
+
"eval_steps_per_second": 2.727,
|
105 |
"step": 120
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.40114613180515757,
|
109 |
+
"grad_norm": 0.44048359990119934,
|
110 |
+
"learning_rate": 1.8395415472779372e-05,
|
111 |
+
"loss": 0.5269,
|
112 |
"step": 140
|
113 |
},
|
114 |
{
|
115 |
+
"epoch": 0.40114613180515757,
|
116 |
+
"eval_accuracy": 0.8481012658227848,
|
117 |
+
"eval_loss": 0.5453027486801147,
|
118 |
+
"eval_runtime": 14.5869,
|
119 |
+
"eval_samples_per_second": 10.832,
|
120 |
+
"eval_steps_per_second": 2.742,
|
121 |
"step": 140
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.4584527220630373,
|
125 |
+
"grad_norm": 18.155141830444336,
|
126 |
+
"learning_rate": 1.8166189111747853e-05,
|
127 |
+
"loss": 0.3545,
|
128 |
"step": 160
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.4584527220630373,
|
132 |
+
"eval_accuracy": 0.8924050632911392,
|
133 |
+
"eval_loss": 0.4540826678276062,
|
134 |
+
"eval_runtime": 14.6402,
|
135 |
+
"eval_samples_per_second": 10.792,
|
136 |
+
"eval_steps_per_second": 2.732,
|
137 |
"step": 160
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 0.5157593123209169,
|
141 |
+
"grad_norm": 0.482028603553772,
|
142 |
+
"learning_rate": 1.7936962750716333e-05,
|
143 |
+
"loss": 0.4449,
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.5157593123209169,
|
148 |
+
"eval_accuracy": 0.8924050632911392,
|
149 |
+
"eval_loss": 0.43535691499710083,
|
150 |
+
"eval_runtime": 14.6919,
|
151 |
+
"eval_samples_per_second": 10.754,
|
152 |
+
"eval_steps_per_second": 2.723,
|
153 |
"step": 180
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 0.5730659025787965,
|
157 |
+
"grad_norm": 108.88398742675781,
|
158 |
+
"learning_rate": 1.7707736389684814e-05,
|
159 |
+
"loss": 0.3868,
|
160 |
"step": 200
|
161 |
},
|
162 |
{
|
163 |
+
"epoch": 0.5730659025787965,
|
164 |
+
"eval_accuracy": 0.8481012658227848,
|
165 |
+
"eval_loss": 0.8784106373786926,
|
166 |
+
"eval_runtime": 14.6371,
|
167 |
+
"eval_samples_per_second": 10.794,
|
168 |
+
"eval_steps_per_second": 2.733,
|
169 |
"step": 200
|
170 |
},
|
171 |
{
|
172 |
+
"epoch": 0.6303724928366762,
|
173 |
+
"grad_norm": 12.77889347076416,
|
174 |
+
"learning_rate": 1.7478510028653298e-05,
|
175 |
+
"loss": 0.7576,
|
176 |
"step": 220
|
177 |
},
|
178 |
{
|
179 |
+
"epoch": 0.6303724928366762,
|
180 |
+
"eval_accuracy": 0.8860759493670886,
|
181 |
+
"eval_loss": 0.38221749663352966,
|
182 |
+
"eval_runtime": 14.6383,
|
183 |
+
"eval_samples_per_second": 10.794,
|
184 |
+
"eval_steps_per_second": 2.733,
|
185 |
"step": 220
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 0.6876790830945558,
|
189 |
+
"grad_norm": 13.416525840759277,
|
190 |
+
"learning_rate": 1.724928366762178e-05,
|
191 |
+
"loss": 0.1956,
|
192 |
"step": 240
|
193 |
},
|
194 |
{
|
195 |
+
"epoch": 0.6876790830945558,
|
196 |
+
"eval_accuracy": 0.879746835443038,
|
197 |
+
"eval_loss": 0.4667538106441498,
|
198 |
+
"eval_runtime": 14.6113,
|
199 |
+
"eval_samples_per_second": 10.814,
|
200 |
+
"eval_steps_per_second": 2.738,
|
201 |
"step": 240
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 0.7449856733524355,
|
205 |
+
"grad_norm": 10.141700744628906,
|
206 |
+
"learning_rate": 1.702005730659026e-05,
|
207 |
+
"loss": 0.4942,
|
208 |
"step": 260
|
209 |
},
|
210 |
{
|
211 |
+
"epoch": 0.7449856733524355,
|
212 |
+
"eval_accuracy": 0.8481012658227848,
|
213 |
+
"eval_loss": 0.5736417174339294,
|
214 |
+
"eval_runtime": 14.603,
|
215 |
+
"eval_samples_per_second": 10.82,
|
216 |
+
"eval_steps_per_second": 2.739,
|
217 |
"step": 260
|
218 |
},
|
219 |
{
|
220 |
+
"epoch": 0.8022922636103151,
|
221 |
+
"grad_norm": 23.185056686401367,
|
222 |
+
"learning_rate": 1.679083094555874e-05,
|
223 |
+
"loss": 0.4762,
|
224 |
"step": 280
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 0.8022922636103151,
|
228 |
+
"eval_accuracy": 0.8987341772151899,
|
229 |
+
"eval_loss": 0.2911098897457123,
|
230 |
+
"eval_runtime": 14.6519,
|
231 |
+
"eval_samples_per_second": 10.784,
|
232 |
+
"eval_steps_per_second": 2.73,
|
233 |
"step": 280
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 0.8595988538681948,
|
237 |
+
"grad_norm": 46.526451110839844,
|
238 |
+
"learning_rate": 1.6561604584527223e-05,
|
239 |
+
"loss": 0.4136,
|
240 |
"step": 300
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 0.8595988538681948,
|
244 |
+
"eval_accuracy": 0.8607594936708861,
|
245 |
+
"eval_loss": 0.3629298508167267,
|
246 |
+
"eval_runtime": 14.6627,
|
247 |
+
"eval_samples_per_second": 10.776,
|
248 |
+
"eval_steps_per_second": 2.728,
|
249 |
"step": 300
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.9169054441260746,
|
253 |
+
"grad_norm": 5.966210842132568,
|
254 |
+
"learning_rate": 1.6332378223495704e-05,
|
255 |
+
"loss": 0.5865,
|
256 |
"step": 320
|
257 |
},
|
258 |
{
|
259 |
+
"epoch": 0.9169054441260746,
|
260 |
+
"eval_accuracy": 0.7721518987341772,
|
261 |
+
"eval_loss": 0.9794216752052307,
|
262 |
+
"eval_runtime": 14.6593,
|
263 |
+
"eval_samples_per_second": 10.778,
|
264 |
+
"eval_steps_per_second": 2.729,
|
265 |
"step": 320
|
266 |
},
|
267 |
{
|
268 |
+
"epoch": 0.9742120343839542,
|
269 |
+
"grad_norm": 3.5877606868743896,
|
270 |
+
"learning_rate": 1.6103151862464185e-05,
|
271 |
+
"loss": 0.3758,
|
272 |
"step": 340
|
273 |
},
|
274 |
{
|
275 |
+
"epoch": 0.9742120343839542,
|
276 |
+
"eval_accuracy": 0.8734177215189873,
|
277 |
+
"eval_loss": 0.46775683760643005,
|
278 |
+
"eval_runtime": 14.6442,
|
279 |
+
"eval_samples_per_second": 10.789,
|
280 |
+
"eval_steps_per_second": 2.731,
|
281 |
"step": 340
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 1.0315186246418337,
|
285 |
+
"grad_norm": 5.313683986663818,
|
286 |
+
"learning_rate": 1.5873925501432665e-05,
|
287 |
+
"loss": 0.4285,
|
288 |
"step": 360
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 1.0315186246418337,
|
292 |
+
"eval_accuracy": 0.8670886075949367,
|
293 |
+
"eval_loss": 0.5543066263198853,
|
294 |
+
"eval_runtime": 14.6827,
|
295 |
+
"eval_samples_per_second": 10.761,
|
296 |
+
"eval_steps_per_second": 2.724,
|
297 |
"step": 360
|
298 |
},
|
299 |
{
|
300 |
+
"epoch": 1.0888252148997135,
|
301 |
+
"grad_norm": 10.655978202819824,
|
302 |
+
"learning_rate": 1.5644699140401146e-05,
|
303 |
+
"loss": 0.44,
|
304 |
"step": 380
|
305 |
},
|
306 |
{
|
307 |
+
"epoch": 1.0888252148997135,
|
308 |
+
"eval_accuracy": 0.8607594936708861,
|
309 |
+
"eval_loss": 0.5150261521339417,
|
310 |
+
"eval_runtime": 14.6825,
|
311 |
+
"eval_samples_per_second": 10.761,
|
312 |
+
"eval_steps_per_second": 2.724,
|
313 |
"step": 380
|
314 |
},
|
315 |
{
|
316 |
+
"epoch": 1.146131805157593,
|
317 |
+
"grad_norm": 0.08064723014831543,
|
318 |
+
"learning_rate": 1.541547277936963e-05,
|
319 |
+
"loss": 0.3573,
|
320 |
"step": 400
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 1.146131805157593,
|
324 |
+
"eval_accuracy": 0.8607594936708861,
|
325 |
+
"eval_loss": 0.563529908657074,
|
326 |
+
"eval_runtime": 14.6349,
|
327 |
+
"eval_samples_per_second": 10.796,
|
328 |
+
"eval_steps_per_second": 2.733,
|
329 |
"step": 400
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 1.2034383954154728,
|
333 |
+
"grad_norm": 0.46097293496131897,
|
334 |
+
"learning_rate": 1.518624641833811e-05,
|
335 |
+
"loss": 0.4187,
|
336 |
"step": 420
|
337 |
},
|
338 |
{
|
339 |
+
"epoch": 1.2034383954154728,
|
340 |
+
"eval_accuracy": 0.8481012658227848,
|
341 |
+
"eval_loss": 0.6609386205673218,
|
342 |
+
"eval_runtime": 14.5517,
|
343 |
+
"eval_samples_per_second": 10.858,
|
344 |
+
"eval_steps_per_second": 2.749,
|
345 |
"step": 420
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 1.2607449856733524,
|
349 |
+
"grad_norm": 0.37571266293525696,
|
350 |
+
"learning_rate": 1.495702005730659e-05,
|
351 |
+
"loss": 0.3742,
|
352 |
"step": 440
|
353 |
},
|
354 |
{
|
355 |
+
"epoch": 1.2607449856733524,
|
356 |
+
"eval_accuracy": 0.8481012658227848,
|
357 |
+
"eval_loss": 0.5912802815437317,
|
358 |
+
"eval_runtime": 14.594,
|
359 |
+
"eval_samples_per_second": 10.826,
|
360 |
+
"eval_steps_per_second": 2.741,
|
361 |
"step": 440
|
362 |
},
|
363 |
{
|
364 |
+
"epoch": 1.3180515759312321,
|
365 |
+
"grad_norm": 0.4662785828113556,
|
366 |
+
"learning_rate": 1.4727793696275073e-05,
|
367 |
+
"loss": 0.5179,
|
368 |
"step": 460
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 1.3180515759312321,
|
372 |
+
"eval_accuracy": 0.8354430379746836,
|
373 |
+
"eval_loss": 0.3983699679374695,
|
374 |
+
"eval_runtime": 14.6982,
|
375 |
+
"eval_samples_per_second": 10.75,
|
376 |
+
"eval_steps_per_second": 2.721,
|
377 |
"step": 460
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 1.3753581661891117,
|
381 |
+
"grad_norm": 3.044969081878662,
|
382 |
+
"learning_rate": 1.4498567335243553e-05,
|
383 |
+
"loss": 0.1685,
|
384 |
"step": 480
|
385 |
},
|
386 |
{
|
387 |
+
"epoch": 1.3753581661891117,
|
388 |
+
"eval_accuracy": 0.8734177215189873,
|
389 |
+
"eval_loss": 0.5606595873832703,
|
390 |
+
"eval_runtime": 14.5479,
|
391 |
+
"eval_samples_per_second": 10.861,
|
392 |
+
"eval_steps_per_second": 2.75,
|
393 |
"step": 480
|
394 |
},
|
395 |
{
|
396 |
+
"epoch": 1.4326647564469914,
|
397 |
+
"grad_norm": 9.852724075317383,
|
398 |
+
"learning_rate": 1.4269340974212036e-05,
|
399 |
+
"loss": 0.5284,
|
400 |
"step": 500
|
401 |
},
|
402 |
{
|
403 |
+
"epoch": 1.4326647564469914,
|
404 |
+
"eval_accuracy": 0.8924050632911392,
|
405 |
+
"eval_loss": 0.35282623767852783,
|
406 |
+
"eval_runtime": 14.6738,
|
407 |
+
"eval_samples_per_second": 10.767,
|
408 |
+
"eval_steps_per_second": 2.726,
|
409 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
410 |
}
|
411 |
],
|
412 |
"logging_steps": 20,
|
413 |
+
"max_steps": 1745,
|
414 |
"num_input_tokens_seen": 0,
|
415 |
"num_train_epochs": 5,
|
416 |
"save_steps": 500,
|
|
|
421 |
"should_evaluate": false,
|
422 |
"should_log": false,
|
423 |
"should_save": true,
|
424 |
+
"should_training_stop": false
|
425 |
},
|
426 |
"attributes": {}
|
427 |
}
|
428 |
},
|
429 |
+
"total_flos": 1632590853561360.0,
|
430 |
"train_batch_size": 4,
|
431 |
"trial_name": null,
|
432 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5368
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abac746a15333d522ab2f8ea1b4da819eacaabae31bef4a7933bfe624dbee4ec
|
3 |
size 5368
|