End of training
Browse files- README.md +27 -27
- pytorch_model.bin +1 -1
- trainer_state.json +797 -779
- training_args.bin +2 -2
README.md
CHANGED
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/alexue4/text-normalization-ru-new) on the None dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 0.
|
19 |
- Mean Distance: 0
|
20 |
-
- Max Distance:
|
21 |
|
22 |
## Model description
|
23 |
|
@@ -49,31 +49,31 @@ The following hyperparameters were used during training:
|
|
49 |
|
50 |
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|
51 |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|:------------:|
|
52 |
-
| 0.
|
53 |
-
| 0.
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
-
| 0.
|
74 |
-
| 0.
|
75 |
-
| 0.
|
76 |
-
| 0.001 | 25.0 |
|
77 |
|
78 |
|
79 |
### Framework versions
|
|
|
15 |
|
16 |
This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/alexue4/text-normalization-ru-new) on the None dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.0003
|
19 |
- Mean Distance: 0
|
20 |
+
- Max Distance: 0
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
49 |
|
50 |
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|
51 |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|:------------:|
|
52 |
+
| 0.0013 | 1.0 | 69 | 0.0028 | 0 | 2 |
|
53 |
+
| 0.0006 | 2.0 | 138 | 0.0026 | 0 | 3 |
|
54 |
+
| 0.0025 | 3.0 | 207 | 0.0039 | 0 | 3 |
|
55 |
+
| 0.0004 | 4.0 | 276 | 0.0037 | 0 | 3 |
|
56 |
+
| 0.0005 | 5.0 | 345 | 0.0091 | 0 | 3 |
|
57 |
+
| 0.0009 | 6.0 | 414 | 0.0006 | 0 | 0 |
|
58 |
+
| 0.0016 | 7.0 | 483 | 0.0003 | 0 | 0 |
|
59 |
+
| 0.0012 | 8.0 | 552 | 0.0111 | 0 | 5 |
|
60 |
+
| 0.0008 | 9.0 | 621 | 0.0004 | 0 | 0 |
|
61 |
+
| 0.0018 | 10.0 | 690 | 0.0003 | 0 | 0 |
|
62 |
+
| 0.0028 | 11.0 | 759 | 0.0003 | 0 | 0 |
|
63 |
+
| 0.0008 | 12.0 | 828 | 0.0003 | 0 | 0 |
|
64 |
+
| 0.001 | 13.0 | 897 | 0.0004 | 0 | 2 |
|
65 |
+
| 0.0026 | 14.0 | 966 | 0.0005 | 0 | 2 |
|
66 |
+
| 0.0015 | 15.0 | 1035 | 0.0007 | 0 | 3 |
|
67 |
+
| 0.0009 | 16.0 | 1104 | 0.0007 | 0 | 3 |
|
68 |
+
| 0.0014 | 17.0 | 1173 | 0.0003 | 0 | 0 |
|
69 |
+
| 0.001 | 18.0 | 1242 | 0.0004 | 0 | 0 |
|
70 |
+
| 0.0007 | 19.0 | 1311 | 0.0013 | 0 | 3 |
|
71 |
+
| 0.0013 | 20.0 | 1380 | 0.0013 | 0 | 3 |
|
72 |
+
| 0.0007 | 21.0 | 1449 | 0.0003 | 0 | 0 |
|
73 |
+
| 0.0016 | 22.0 | 1518 | 0.0003 | 0 | 0 |
|
74 |
+
| 0.0013 | 23.0 | 1587 | 0.0003 | 0 | 0 |
|
75 |
+
| 0.0004 | 24.0 | 1656 | 0.0003 | 0 | 0 |
|
76 |
+
| 0.001 | 25.0 | 1725 | 0.0003 | 0 | 0 |
|
77 |
|
78 |
|
79 |
### Framework versions
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 258643461
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:69a322d8df9333542c41863f9dfd626d1fa4f1b142f13cf8ac5477a1f46f3819
|
3 |
size 258643461
|
trainer_state.json
CHANGED
@@ -1,1412 +1,1430 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint":
|
4 |
"epoch": 25.0,
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
-
"learning_rate": 5.
|
14 |
-
"loss": 0.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.13,
|
19 |
-
"learning_rate": 5.
|
20 |
-
"loss": 0.
|
21 |
"step": 9
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.26,
|
25 |
-
"learning_rate": 1.
|
26 |
-
"loss": 0.
|
27 |
"step": 18
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"learning_rate": 1.
|
32 |
-
"loss": 0.
|
33 |
"step": 27
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"learning_rate": 2.
|
38 |
-
"loss": 0.
|
39 |
"step": 36
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"learning_rate": 2.
|
44 |
-
"loss": 0.
|
45 |
"step": 45
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 0.
|
49 |
-
"learning_rate": 3.
|
50 |
-
"loss": 0.
|
51 |
"step": 54
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate": 3.
|
56 |
-
"loss": 0.
|
57 |
"step": 63
|
58 |
},
|
59 |
{
|
60 |
"epoch": 1.0,
|
61 |
-
"eval_loss": 0.
|
62 |
-
"eval_max_distance":
|
63 |
"eval_mean_distance": 0,
|
64 |
-
"eval_runtime": 1.
|
65 |
-
"eval_samples_per_second": 42.
|
66 |
-
"eval_steps_per_second": 1.
|
67 |
-
"step":
|
68 |
},
|
69 |
{
|
70 |
-
"epoch": 1.
|
71 |
-
"learning_rate": 4.
|
72 |
-
"loss": 0.
|
73 |
"step": 72
|
74 |
},
|
75 |
{
|
76 |
-
"epoch": 1.
|
77 |
-
"learning_rate": 4.
|
78 |
-
"loss": 0.
|
79 |
"step": 81
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 1.
|
83 |
-
"learning_rate": 5.
|
84 |
-
"loss": 0.
|
85 |
"step": 90
|
86 |
},
|
87 |
{
|
88 |
-
"epoch": 1.
|
89 |
-
"learning_rate": 5.
|
90 |
-
"loss": 0.
|
91 |
"step": 99
|
92 |
},
|
93 |
{
|
94 |
-
"epoch": 1.
|
95 |
-
"learning_rate": 6.
|
96 |
-
"loss": 0.
|
97 |
"step": 108
|
98 |
},
|
99 |
{
|
100 |
-
"epoch": 1.
|
101 |
-
"learning_rate": 6.
|
102 |
-
"loss": 0.
|
103 |
"step": 117
|
104 |
},
|
105 |
{
|
106 |
-
"epoch": 1.
|
107 |
-
"learning_rate": 7.
|
108 |
-
"loss": 0.
|
109 |
"step": 126
|
110 |
},
|
111 |
{
|
112 |
-
"epoch": 1.
|
113 |
-
"learning_rate": 7.
|
114 |
-
"loss": 0.
|
115 |
"step": 135
|
116 |
},
|
117 |
{
|
118 |
"epoch": 2.0,
|
119 |
-
"eval_loss": 0.
|
120 |
"eval_max_distance": 3,
|
121 |
"eval_mean_distance": 0,
|
122 |
-
"eval_runtime": 1.
|
123 |
-
"eval_samples_per_second":
|
124 |
-
"eval_steps_per_second": 1.
|
125 |
-
"step":
|
126 |
},
|
127 |
{
|
128 |
-
"epoch": 2.
|
129 |
-
"learning_rate": 8.
|
130 |
-
"loss": 0.
|
131 |
"step": 144
|
132 |
},
|
133 |
{
|
134 |
-
"epoch": 2.
|
135 |
-
"learning_rate":
|
136 |
-
"loss": 0.
|
137 |
"step": 153
|
138 |
},
|
139 |
{
|
140 |
-
"epoch": 2.
|
141 |
-
"learning_rate": 9.
|
142 |
-
"loss": 0.
|
143 |
"step": 162
|
144 |
},
|
145 |
{
|
146 |
-
"epoch": 2.
|
147 |
-
"learning_rate": 9.
|
148 |
-
"loss": 0.
|
149 |
"step": 171
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 2.
|
153 |
-
"learning_rate": 9.
|
154 |
-
"loss": 0.
|
155 |
"step": 180
|
156 |
},
|
157 |
{
|
158 |
-
"epoch": 2.
|
159 |
-
"learning_rate": 9.
|
160 |
-
"loss": 0.
|
161 |
"step": 189
|
162 |
},
|
163 |
{
|
164 |
-
"epoch": 2.
|
165 |
-
"learning_rate": 9.
|
166 |
-
"loss": 0.
|
167 |
"step": 198
|
168 |
},
|
169 |
{
|
170 |
"epoch": 3.0,
|
171 |
-
"
|
172 |
-
"
|
173 |
-
"
|
174 |
-
"eval_runtime": 1.7969,
|
175 |
-
"eval_samples_per_second": 42.851,
|
176 |
-
"eval_steps_per_second": 1.67,
|
177 |
-
"step": 204
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 3.
|
181 |
-
"
|
182 |
-
"
|
|
|
|
|
|
|
|
|
183 |
"step": 207
|
184 |
},
|
185 |
{
|
186 |
-
"epoch": 3.
|
187 |
-
"learning_rate": 9.
|
188 |
-
"loss": 0.
|
189 |
"step": 216
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 3.
|
193 |
-
"learning_rate": 9.
|
194 |
-
"loss": 0.
|
195 |
"step": 225
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 3.
|
199 |
-
"learning_rate": 9.
|
200 |
-
"loss": 0.
|
201 |
"step": 234
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 3.
|
205 |
-
"learning_rate": 9.
|
206 |
-
"loss": 0.
|
207 |
"step": 243
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 3.
|
211 |
-
"learning_rate": 9.
|
212 |
-
"loss": 0.
|
213 |
"step": 252
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 3.
|
217 |
-
"learning_rate": 9.
|
218 |
-
"loss": 0.
|
219 |
"step": 261
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 3.
|
223 |
-
"learning_rate": 9.
|
224 |
-
"loss": 0.
|
225 |
"step": 270
|
226 |
},
|
227 |
{
|
228 |
"epoch": 4.0,
|
229 |
-
"eval_loss": 0.
|
230 |
"eval_max_distance": 3,
|
231 |
"eval_mean_distance": 0,
|
232 |
-
"eval_runtime": 1.
|
233 |
-
"eval_samples_per_second":
|
234 |
-
"eval_steps_per_second": 1.
|
235 |
-
"step":
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 4.
|
239 |
-
"learning_rate": 9.
|
240 |
-
"loss": 0.
|
241 |
"step": 279
|
242 |
},
|
243 |
{
|
244 |
-
"epoch": 4.
|
245 |
-
"learning_rate": 9.
|
246 |
-
"loss": 0.
|
247 |
"step": 288
|
248 |
},
|
249 |
{
|
250 |
-
"epoch": 4.
|
251 |
-
"learning_rate": 9.
|
252 |
-
"loss": 0.
|
253 |
"step": 297
|
254 |
},
|
255 |
{
|
256 |
-
"epoch": 4.
|
257 |
-
"learning_rate": 9.
|
258 |
-
"loss": 0.
|
259 |
"step": 306
|
260 |
},
|
261 |
{
|
262 |
-
"epoch": 4.
|
263 |
-
"learning_rate": 9.
|
264 |
-
"loss": 0.
|
265 |
"step": 315
|
266 |
},
|
267 |
{
|
268 |
-
"epoch": 4.
|
269 |
-
"learning_rate":
|
270 |
-
"loss": 0.
|
271 |
"step": 324
|
272 |
},
|
273 |
{
|
274 |
-
"epoch": 4.
|
275 |
-
"learning_rate": 8.
|
276 |
-
"loss": 0.
|
277 |
"step": 333
|
278 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
279 |
{
|
280 |
"epoch": 5.0,
|
281 |
-
"eval_loss": 0.
|
282 |
"eval_max_distance": 3,
|
283 |
"eval_mean_distance": 0,
|
284 |
-
"eval_runtime": 1.
|
285 |
-
"eval_samples_per_second":
|
286 |
-
"eval_steps_per_second": 1.
|
287 |
-
"step":
|
288 |
},
|
289 |
{
|
290 |
-
"epoch": 5.
|
291 |
-
"learning_rate": 8.
|
292 |
-
"loss": 0.
|
293 |
-
"step": 342
|
294 |
-
},
|
295 |
-
{
|
296 |
-
"epoch": 5.16,
|
297 |
-
"learning_rate": 8.816993464052288e-05,
|
298 |
-
"loss": 0.0054,
|
299 |
"step": 351
|
300 |
},
|
301 |
{
|
302 |
-
"epoch": 5.
|
303 |
-
"learning_rate": 8.
|
304 |
-
"loss": 0.
|
305 |
"step": 360
|
306 |
},
|
307 |
{
|
308 |
-
"epoch": 5.
|
309 |
-
"learning_rate": 8.
|
310 |
-
"loss": 0.
|
311 |
"step": 369
|
312 |
},
|
313 |
{
|
314 |
-
"epoch": 5.
|
315 |
-
"learning_rate": 8.
|
316 |
-
"loss": 0.
|
317 |
"step": 378
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 5.
|
321 |
-
"learning_rate": 8.
|
322 |
-
"loss": 0.
|
323 |
"step": 387
|
324 |
},
|
325 |
{
|
326 |
-
"epoch": 5.
|
327 |
-
"learning_rate": 8.
|
328 |
-
"loss": 0.
|
329 |
"step": 396
|
330 |
},
|
331 |
{
|
332 |
-
"epoch": 5.
|
333 |
-
"learning_rate": 8.
|
334 |
-
"loss": 0.
|
335 |
"step": 405
|
336 |
},
|
337 |
{
|
338 |
"epoch": 6.0,
|
339 |
-
"
|
340 |
-
"
|
341 |
-
"
|
342 |
-
"eval_runtime": 1.8684,
|
343 |
-
"eval_samples_per_second": 41.212,
|
344 |
-
"eval_steps_per_second": 1.606,
|
345 |
-
"step": 408
|
346 |
},
|
347 |
{
|
348 |
-
"epoch": 6.
|
349 |
-
"
|
350 |
-
"
|
|
|
|
|
|
|
|
|
351 |
"step": 414
|
352 |
},
|
353 |
{
|
354 |
-
"epoch": 6.
|
355 |
-
"learning_rate": 8.
|
356 |
-
"loss": 0.
|
357 |
"step": 423
|
358 |
},
|
359 |
{
|
360 |
-
"epoch": 6.
|
361 |
-
"learning_rate": 8.
|
362 |
-
"loss": 0.
|
363 |
"step": 432
|
364 |
},
|
365 |
{
|
366 |
-
"epoch": 6.
|
367 |
-
"learning_rate": 8.
|
368 |
-
"loss": 0.
|
369 |
"step": 441
|
370 |
},
|
371 |
{
|
372 |
-
"epoch": 6.
|
373 |
-
"learning_rate": 8.
|
374 |
-
"loss": 0.
|
375 |
"step": 450
|
376 |
},
|
377 |
{
|
378 |
-
"epoch": 6.
|
379 |
-
"learning_rate": 8.
|
380 |
-
"loss": 0.
|
381 |
"step": 459
|
382 |
},
|
383 |
{
|
384 |
-
"epoch": 6.
|
385 |
-
"learning_rate": 8.
|
386 |
"loss": 0.0008,
|
387 |
"step": 468
|
388 |
},
|
389 |
{
|
390 |
-
"epoch":
|
391 |
-
"
|
392 |
-
"
|
393 |
-
"
|
394 |
-
"eval_runtime": 1.8063,
|
395 |
-
"eval_samples_per_second": 42.629,
|
396 |
-
"eval_steps_per_second": 1.661,
|
397 |
-
"step": 476
|
398 |
},
|
399 |
{
|
400 |
-
"epoch": 7.
|
401 |
-
"
|
402 |
-
"
|
403 |
-
"
|
|
|
|
|
|
|
|
|
404 |
},
|
405 |
{
|
406 |
-
"epoch": 7.
|
407 |
-
"learning_rate": 7.
|
408 |
-
"loss": 0.
|
409 |
"step": 486
|
410 |
},
|
411 |
{
|
412 |
-
"epoch": 7.
|
413 |
-
"learning_rate": 7.
|
414 |
-
"loss": 0.
|
415 |
"step": 495
|
416 |
},
|
417 |
{
|
418 |
-
"epoch": 7.
|
419 |
-
"learning_rate": 7.
|
420 |
-
"loss": 0.
|
421 |
"step": 504
|
422 |
},
|
423 |
{
|
424 |
-
"epoch": 7.
|
425 |
-
"learning_rate": 7.
|
426 |
-
"loss": 0.
|
427 |
"step": 513
|
428 |
},
|
429 |
{
|
430 |
-
"epoch": 7.
|
431 |
-
"learning_rate": 7.
|
432 |
-
"loss": 0.
|
433 |
"step": 522
|
434 |
},
|
435 |
{
|
436 |
-
"epoch": 7.
|
437 |
-
"learning_rate": 7.
|
438 |
-
"loss": 0.
|
439 |
"step": 531
|
440 |
},
|
441 |
{
|
442 |
-
"epoch": 7.
|
443 |
-
"learning_rate": 7.
|
444 |
-
"loss": 0.
|
445 |
"step": 540
|
446 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
447 |
{
|
448 |
"epoch": 8.0,
|
449 |
-
"eval_loss": 0.
|
450 |
-
"eval_max_distance":
|
451 |
"eval_mean_distance": 0,
|
452 |
-
"eval_runtime": 1.
|
453 |
-
"eval_samples_per_second": 42.
|
454 |
-
"eval_steps_per_second": 1.
|
455 |
-
"step":
|
456 |
},
|
457 |
{
|
458 |
-
"epoch": 8.
|
459 |
-
"learning_rate": 7.
|
460 |
"loss": 0.0008,
|
461 |
-
"step": 549
|
462 |
-
},
|
463 |
-
{
|
464 |
-
"epoch": 8.21,
|
465 |
-
"learning_rate": 7.4640522875817e-05,
|
466 |
-
"loss": 0.0015,
|
467 |
"step": 558
|
468 |
},
|
469 |
{
|
470 |
-
"epoch": 8.
|
471 |
-
"learning_rate": 7.
|
472 |
-
"loss": 0.
|
473 |
"step": 567
|
474 |
},
|
475 |
{
|
476 |
-
"epoch": 8.
|
477 |
-
"learning_rate": 7.
|
478 |
-
"loss": 0.
|
479 |
"step": 576
|
480 |
},
|
481 |
{
|
482 |
-
"epoch": 8.
|
483 |
-
"learning_rate": 7.
|
484 |
-
"loss": 0.
|
485 |
"step": 585
|
486 |
},
|
487 |
{
|
488 |
-
"epoch": 8.
|
489 |
-
"learning_rate": 7.
|
490 |
-
"loss": 0.
|
491 |
"step": 594
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 8.
|
495 |
-
"learning_rate": 7.
|
496 |
-
"loss": 0.
|
497 |
"step": 603
|
498 |
},
|
499 |
{
|
500 |
-
"epoch":
|
501 |
-
"learning_rate": 7.
|
502 |
-
"loss": 0.
|
503 |
"step": 612
|
504 |
},
|
505 |
{
|
506 |
"epoch": 9.0,
|
507 |
-
"
|
508 |
-
"
|
509 |
-
"
|
510 |
-
"eval_runtime": 1.778,
|
511 |
-
"eval_samples_per_second": 43.306,
|
512 |
-
"eval_steps_per_second": 1.687,
|
513 |
-
"step": 612
|
514 |
},
|
515 |
{
|
516 |
-
"epoch": 9.
|
517 |
-
"
|
518 |
-
"
|
|
|
|
|
|
|
|
|
519 |
"step": 621
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 9.
|
523 |
-
"learning_rate":
|
524 |
-
"loss": 0.
|
525 |
"step": 630
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 9.
|
529 |
-
"learning_rate": 6.
|
530 |
-
"loss": 0.
|
531 |
"step": 639
|
532 |
},
|
533 |
{
|
534 |
-
"epoch": 9.
|
535 |
-
"learning_rate": 6.
|
536 |
-
"loss": 0.
|
537 |
"step": 648
|
538 |
},
|
539 |
{
|
540 |
-
"epoch": 9.
|
541 |
-
"learning_rate": 6.
|
542 |
-
"loss": 0.
|
543 |
"step": 657
|
544 |
},
|
545 |
{
|
546 |
-
"epoch": 9.
|
547 |
-
"learning_rate": 6.
|
548 |
-
"loss": 0.
|
549 |
"step": 666
|
550 |
},
|
551 |
{
|
552 |
-
"epoch": 9.
|
553 |
-
"learning_rate": 6.
|
554 |
-
"loss": 0.
|
555 |
"step": 675
|
556 |
},
|
557 |
{
|
558 |
-
"epoch":
|
559 |
-
"
|
560 |
-
"
|
561 |
-
"
|
562 |
-
"eval_runtime": 1.7911,
|
563 |
-
"eval_samples_per_second": 42.99,
|
564 |
-
"eval_steps_per_second": 1.675,
|
565 |
-
"step": 680
|
566 |
},
|
567 |
{
|
568 |
-
"epoch": 10.
|
569 |
-
"
|
570 |
-
"
|
571 |
-
"
|
|
|
|
|
|
|
|
|
572 |
},
|
573 |
{
|
574 |
-
"epoch": 10.
|
575 |
-
"learning_rate": 6.
|
576 |
-
"loss": 0.
|
577 |
"step": 693
|
578 |
},
|
579 |
{
|
580 |
-
"epoch": 10.
|
581 |
-
"learning_rate": 6.
|
582 |
-
"loss": 0.
|
583 |
"step": 702
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 10.
|
587 |
-
"learning_rate": 6.
|
588 |
-
"loss": 0.
|
589 |
"step": 711
|
590 |
},
|
591 |
{
|
592 |
-
"epoch": 10.
|
593 |
-
"learning_rate": 6.
|
594 |
-
"loss": 0.
|
595 |
"step": 720
|
596 |
},
|
597 |
{
|
598 |
-
"epoch": 10.
|
599 |
-
"learning_rate": 6.
|
600 |
-
"loss": 0.
|
601 |
"step": 729
|
602 |
},
|
603 |
{
|
604 |
-
"epoch": 10.
|
605 |
-
"learning_rate": 6.
|
606 |
-
"loss": 0.
|
607 |
"step": 738
|
608 |
},
|
609 |
{
|
610 |
-
"epoch": 10.
|
611 |
-
"learning_rate": 6.
|
612 |
-
"loss": 0.
|
613 |
"step": 747
|
614 |
},
|
615 |
{
|
616 |
-
"epoch":
|
617 |
-
"
|
618 |
-
"
|
619 |
-
"
|
620 |
-
"eval_runtime": 1.7912,
|
621 |
-
"eval_samples_per_second": 42.989,
|
622 |
-
"eval_steps_per_second": 1.675,
|
623 |
-
"step": 748
|
624 |
},
|
625 |
{
|
626 |
-
"epoch": 11.
|
627 |
-
"
|
628 |
-
"
|
629 |
-
"
|
|
|
|
|
|
|
|
|
630 |
},
|
631 |
{
|
632 |
-
"epoch": 11.
|
633 |
-
"learning_rate": 6.
|
634 |
-
"loss": 0.
|
635 |
"step": 765
|
636 |
},
|
637 |
{
|
638 |
-
"epoch": 11.
|
639 |
-
"learning_rate": 6.
|
640 |
-
"loss": 0.
|
641 |
"step": 774
|
642 |
},
|
643 |
{
|
644 |
-
"epoch": 11.
|
645 |
-
"learning_rate":
|
646 |
-
"loss": 0.
|
647 |
"step": 783
|
648 |
},
|
649 |
{
|
650 |
-
"epoch": 11.
|
651 |
-
"learning_rate":
|
652 |
-
"loss": 0.
|
653 |
"step": 792
|
654 |
},
|
655 |
{
|
656 |
-
"epoch": 11.
|
657 |
-
"learning_rate": 5.
|
658 |
-
"loss": 0.
|
659 |
"step": 801
|
660 |
},
|
661 |
{
|
662 |
-
"epoch": 11.
|
663 |
-
"learning_rate": 5.
|
664 |
-
"loss": 0.
|
665 |
"step": 810
|
666 |
},
|
667 |
{
|
668 |
-
"epoch":
|
669 |
-
"
|
670 |
-
"
|
671 |
-
"
|
672 |
-
"eval_runtime": 1.8244,
|
673 |
-
"eval_samples_per_second": 42.205,
|
674 |
-
"eval_steps_per_second": 1.644,
|
675 |
-
"step": 816
|
676 |
},
|
677 |
{
|
678 |
-
"epoch": 12.
|
679 |
-
"learning_rate": 5.
|
680 |
-
"loss": 0.
|
681 |
-
"step":
|
682 |
},
|
683 |
{
|
684 |
-
"epoch": 12.
|
685 |
-
"
|
686 |
-
"
|
|
|
|
|
|
|
|
|
687 |
"step": 828
|
688 |
},
|
689 |
{
|
690 |
-
"epoch": 12.
|
691 |
-
"learning_rate": 5.
|
692 |
-
"loss": 0.
|
693 |
"step": 837
|
694 |
},
|
695 |
{
|
696 |
-
"epoch": 12.
|
697 |
-
"learning_rate": 5.
|
698 |
-
"loss": 0.
|
699 |
"step": 846
|
700 |
},
|
701 |
{
|
702 |
-
"epoch": 12.
|
703 |
-
"learning_rate": 5.
|
704 |
-
"loss": 0.
|
705 |
"step": 855
|
706 |
},
|
707 |
{
|
708 |
-
"epoch": 12.
|
709 |
-
"learning_rate": 5.
|
710 |
-
"loss": 0.
|
711 |
"step": 864
|
712 |
},
|
713 |
{
|
714 |
-
"epoch": 12.
|
715 |
-
"learning_rate": 5.
|
716 |
-
"loss": 0.
|
717 |
"step": 873
|
718 |
},
|
719 |
{
|
720 |
-
"epoch": 12.
|
721 |
-
"learning_rate": 5.
|
722 |
-
"loss": 0.
|
723 |
"step": 882
|
724 |
},
|
725 |
{
|
726 |
-
"epoch":
|
727 |
-
"
|
728 |
-
"
|
729 |
-
"
|
730 |
-
"eval_runtime": 1.7816,
|
731 |
-
"eval_samples_per_second": 43.219,
|
732 |
-
"eval_steps_per_second": 1.684,
|
733 |
-
"step": 884
|
734 |
},
|
735 |
{
|
736 |
-
"epoch": 13.
|
737 |
-
"
|
738 |
-
"
|
739 |
-
"
|
|
|
|
|
|
|
|
|
740 |
},
|
741 |
{
|
742 |
-
"epoch": 13.
|
743 |
-
"learning_rate": 5.
|
744 |
-
"loss": 0.
|
745 |
"step": 900
|
746 |
},
|
747 |
{
|
748 |
-
"epoch": 13.
|
749 |
-
"learning_rate": 5.
|
750 |
"loss": 0.0008,
|
751 |
"step": 909
|
752 |
},
|
753 |
{
|
754 |
-
"epoch": 13.
|
755 |
-
"learning_rate": 5.
|
756 |
-
"loss": 0.
|
757 |
"step": 918
|
758 |
},
|
759 |
{
|
760 |
-
"epoch": 13.
|
761 |
-
"learning_rate": 5.
|
762 |
-
"loss": 0.
|
763 |
"step": 927
|
764 |
},
|
765 |
{
|
766 |
-
"epoch": 13.
|
767 |
-
"learning_rate":
|
768 |
-
"loss": 0.
|
769 |
"step": 936
|
770 |
},
|
771 |
{
|
772 |
-
"epoch": 13.
|
773 |
-
"learning_rate":
|
774 |
-
"loss": 0.
|
775 |
"step": 945
|
776 |
},
|
777 |
{
|
778 |
-
"epoch":
|
779 |
-
"
|
780 |
-
"
|
781 |
-
"
|
782 |
-
"eval_runtime": 1.7798,
|
783 |
-
"eval_samples_per_second": 43.263,
|
784 |
-
"eval_steps_per_second": 1.686,
|
785 |
-
"step": 952
|
786 |
},
|
787 |
{
|
788 |
-
"epoch":
|
789 |
-
"learning_rate": 4.
|
790 |
-
"loss": 0.
|
791 |
-
"step":
|
792 |
},
|
793 |
{
|
794 |
-
"epoch": 14.
|
795 |
-
"
|
796 |
-
"
|
797 |
-
"
|
|
|
|
|
|
|
|
|
798 |
},
|
799 |
{
|
800 |
-
"epoch": 14.
|
801 |
-
"learning_rate": 4.
|
802 |
-
"loss": 0.
|
803 |
"step": 972
|
804 |
},
|
805 |
{
|
806 |
-
"epoch": 14.
|
807 |
-
"learning_rate": 4.
|
808 |
-
"loss": 0.
|
809 |
"step": 981
|
810 |
},
|
811 |
{
|
812 |
-
"epoch": 14.
|
813 |
-
"learning_rate": 4.
|
814 |
-
"loss": 0.
|
815 |
"step": 990
|
816 |
},
|
817 |
{
|
818 |
-
"epoch": 14.
|
819 |
-
"learning_rate": 4.
|
820 |
-
"loss": 0.
|
821 |
"step": 999
|
822 |
},
|
823 |
{
|
824 |
-
"epoch": 14.
|
825 |
-
"learning_rate": 4.
|
826 |
-
"loss": 0.
|
827 |
"step": 1008
|
828 |
},
|
829 |
{
|
830 |
-
"epoch": 14.
|
831 |
-
"learning_rate": 4.
|
832 |
-
"loss": 0.
|
833 |
"step": 1017
|
834 |
},
|
835 |
{
|
836 |
-
"epoch":
|
837 |
-
"
|
838 |
-
"
|
839 |
-
"
|
840 |
-
"eval_runtime": 1.7896,
|
841 |
-
"eval_samples_per_second": 43.027,
|
842 |
-
"eval_steps_per_second": 1.676,
|
843 |
-
"step": 1020
|
844 |
},
|
845 |
{
|
846 |
-
"epoch": 15.
|
847 |
-
"learning_rate": 4.
|
848 |
-
"loss": 0.
|
849 |
-
"step":
|
850 |
},
|
851 |
{
|
852 |
-
"epoch": 15.
|
853 |
-
"
|
854 |
-
"
|
|
|
|
|
|
|
|
|
855 |
"step": 1035
|
856 |
},
|
857 |
{
|
858 |
-
"epoch": 15.
|
859 |
-
"learning_rate": 4.
|
860 |
-
"loss": 0.
|
861 |
"step": 1044
|
862 |
},
|
863 |
{
|
864 |
-
"epoch": 15.
|
865 |
-
"learning_rate": 4.
|
866 |
-
"loss": 0.
|
867 |
"step": 1053
|
868 |
},
|
869 |
{
|
870 |
-
"epoch": 15.
|
871 |
-
"learning_rate": 4.
|
872 |
-
"loss": 0.
|
873 |
"step": 1062
|
874 |
},
|
875 |
{
|
876 |
-
"epoch": 15.
|
877 |
-
"learning_rate": 4.
|
878 |
-
"loss": 0.
|
879 |
"step": 1071
|
880 |
},
|
881 |
{
|
882 |
-
"epoch": 15.
|
883 |
-
"learning_rate": 4.
|
884 |
-
"loss": 0.
|
885 |
"step": 1080
|
886 |
},
|
887 |
{
|
888 |
-
"epoch":
|
889 |
-
"
|
890 |
-
"
|
891 |
-
"eval_mean_distance": 0,
|
892 |
-
"eval_runtime": 1.7783,
|
893 |
-
"eval_samples_per_second": 43.3,
|
894 |
-
"eval_steps_per_second": 1.687,
|
895 |
-
"step": 1088
|
896 |
-
},
|
897 |
-
{
|
898 |
-
"epoch": 16.01,
|
899 |
-
"learning_rate": 3.993464052287582e-05,
|
900 |
-
"loss": 0.0012,
|
901 |
"step": 1089
|
902 |
},
|
903 |
{
|
904 |
-
"epoch":
|
905 |
-
"learning_rate":
|
906 |
-
"loss": 0.
|
907 |
"step": 1098
|
908 |
},
|
909 |
{
|
910 |
-
"epoch": 16.
|
911 |
-
"
|
912 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
913 |
"step": 1107
|
914 |
},
|
915 |
{
|
916 |
-
"epoch": 16.
|
917 |
-
"learning_rate": 3.
|
918 |
-
"loss": 0.
|
919 |
"step": 1116
|
920 |
},
|
921 |
{
|
922 |
-
"epoch": 16.
|
923 |
-
"learning_rate": 3.
|
924 |
"loss": 0.0006,
|
925 |
"step": 1125
|
926 |
},
|
927 |
{
|
928 |
-
"epoch": 16.
|
929 |
-
"learning_rate": 3.
|
930 |
-
"loss": 0.
|
931 |
"step": 1134
|
932 |
},
|
933 |
{
|
934 |
-
"epoch": 16.
|
935 |
-
"learning_rate": 3.
|
936 |
-
"loss": 0.
|
937 |
"step": 1143
|
938 |
},
|
939 |
{
|
940 |
-
"epoch": 16.
|
941 |
-
"learning_rate": 3.
|
942 |
-
"loss": 0.
|
943 |
"step": 1152
|
944 |
},
|
945 |
{
|
946 |
-
"epoch":
|
947 |
-
"
|
948 |
-
"
|
949 |
-
"eval_mean_distance": 0,
|
950 |
-
"eval_runtime": 1.7701,
|
951 |
-
"eval_samples_per_second": 43.501,
|
952 |
-
"eval_steps_per_second": 1.695,
|
953 |
-
"step": 1156
|
954 |
-
},
|
955 |
-
{
|
956 |
-
"epoch": 17.07,
|
957 |
-
"learning_rate": 3.5228758169934646e-05,
|
958 |
-
"loss": 0.0016,
|
959 |
"step": 1161
|
960 |
},
|
961 |
{
|
962 |
-
"epoch":
|
963 |
-
"learning_rate": 3.
|
964 |
-
"loss": 0.
|
965 |
"step": 1170
|
966 |
},
|
967 |
{
|
968 |
-
"epoch": 17.
|
969 |
-
"
|
970 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
971 |
"step": 1179
|
972 |
},
|
973 |
{
|
974 |
-
"epoch": 17.
|
975 |
-
"learning_rate": 3.
|
976 |
-
"loss": 0.
|
977 |
"step": 1188
|
978 |
},
|
979 |
{
|
980 |
-
"epoch": 17.
|
981 |
-
"learning_rate": 3.
|
982 |
-
"loss": 0.
|
983 |
"step": 1197
|
984 |
},
|
985 |
{
|
986 |
-
"epoch": 17.
|
987 |
-
"learning_rate": 3.
|
988 |
-
"loss": 0.
|
989 |
"step": 1206
|
990 |
},
|
991 |
{
|
992 |
-
"epoch": 17.
|
993 |
-
"learning_rate": 3.
|
994 |
-
"loss": 0.
|
995 |
"step": 1215
|
996 |
},
|
997 |
{
|
998 |
-
"epoch":
|
999 |
-
"learning_rate": 3.
|
1000 |
"loss": 0.0006,
|
1001 |
"step": 1224
|
1002 |
},
|
1003 |
{
|
1004 |
-
"epoch":
|
1005 |
-
"
|
1006 |
-
"
|
1007 |
-
"
|
1008 |
-
"eval_runtime": 1.7808,
|
1009 |
-
"eval_samples_per_second": 43.238,
|
1010 |
-
"eval_steps_per_second": 1.685,
|
1011 |
-
"step": 1224
|
1012 |
},
|
1013 |
{
|
1014 |
-
"epoch": 18.
|
1015 |
-
"learning_rate": 3.
|
1016 |
-
"loss": 0.
|
1017 |
-
"step":
|
1018 |
},
|
1019 |
{
|
1020 |
-
"epoch": 18.
|
1021 |
-
"
|
1022 |
-
"
|
|
|
|
|
|
|
|
|
1023 |
"step": 1242
|
1024 |
},
|
1025 |
{
|
1026 |
-
"epoch": 18.
|
1027 |
-
"learning_rate":
|
1028 |
-
"loss": 0.
|
1029 |
"step": 1251
|
1030 |
},
|
1031 |
{
|
1032 |
-
"epoch": 18.
|
1033 |
-
"learning_rate": 2.
|
1034 |
-
"loss": 0.
|
1035 |
"step": 1260
|
1036 |
},
|
1037 |
{
|
1038 |
-
"epoch": 18.
|
1039 |
-
"learning_rate": 2.
|
1040 |
-
"loss": 0.
|
1041 |
"step": 1269
|
1042 |
},
|
1043 |
{
|
1044 |
-
"epoch": 18.
|
1045 |
-
"learning_rate": 2.
|
1046 |
-
"loss": 0.
|
1047 |
"step": 1278
|
1048 |
},
|
1049 |
{
|
1050 |
-
"epoch": 18.
|
1051 |
-
"learning_rate": 2.
|
1052 |
-
"loss": 0.
|
1053 |
"step": 1287
|
1054 |
},
|
1055 |
{
|
1056 |
-
"epoch":
|
1057 |
-
"
|
1058 |
-
"
|
1059 |
-
"eval_mean_distance": 0,
|
1060 |
-
"eval_runtime": 1.824,
|
1061 |
-
"eval_samples_per_second": 42.215,
|
1062 |
-
"eval_steps_per_second": 1.645,
|
1063 |
-
"step": 1292
|
1064 |
-
},
|
1065 |
-
{
|
1066 |
-
"epoch": 19.06,
|
1067 |
-
"learning_rate": 2.6405228758169937e-05,
|
1068 |
-
"loss": 0.0008,
|
1069 |
"step": 1296
|
1070 |
},
|
1071 |
{
|
1072 |
-
"epoch":
|
1073 |
-
"learning_rate": 2.
|
1074 |
-
"loss": 0.
|
1075 |
"step": 1305
|
1076 |
},
|
1077 |
{
|
1078 |
-
"epoch": 19.
|
1079 |
-
"
|
1080 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1081 |
"step": 1314
|
1082 |
},
|
1083 |
{
|
1084 |
-
"epoch": 19.
|
1085 |
-
"learning_rate": 2.
|
1086 |
-
"loss": 0.
|
1087 |
"step": 1323
|
1088 |
},
|
1089 |
{
|
1090 |
-
"epoch": 19.
|
1091 |
-
"learning_rate": 2.
|
1092 |
"loss": 0.0006,
|
1093 |
"step": 1332
|
1094 |
},
|
1095 |
{
|
1096 |
-
"epoch": 19.
|
1097 |
-
"learning_rate": 2.
|
1098 |
"loss": 0.0004,
|
1099 |
"step": 1341
|
1100 |
},
|
1101 |
{
|
1102 |
-
"epoch": 19.
|
1103 |
-
"learning_rate": 2.
|
1104 |
-
"loss": 0.
|
1105 |
"step": 1350
|
1106 |
},
|
1107 |
{
|
1108 |
-
"epoch": 19.
|
1109 |
-
"learning_rate": 2.
|
1110 |
-
"loss": 0.
|
1111 |
"step": 1359
|
1112 |
},
|
1113 |
{
|
1114 |
-
"epoch":
|
1115 |
-
"
|
1116 |
-
"
|
1117 |
-
"
|
1118 |
-
"eval_runtime": 1.9155,
|
1119 |
-
"eval_samples_per_second": 40.198,
|
1120 |
-
"eval_steps_per_second": 1.566,
|
1121 |
-
"step": 1360
|
1122 |
},
|
1123 |
{
|
1124 |
-
"epoch":
|
1125 |
-
"learning_rate": 2.
|
1126 |
"loss": 0.0013,
|
1127 |
-
"step":
|
1128 |
},
|
1129 |
{
|
1130 |
-
"epoch": 20.
|
1131 |
-
"
|
1132 |
-
"
|
1133 |
-
"
|
|
|
|
|
|
|
|
|
1134 |
},
|
1135 |
{
|
1136 |
-
"epoch": 20.
|
1137 |
-
"learning_rate": 2.
|
1138 |
-
"loss": 0.
|
1139 |
"step": 1386
|
1140 |
},
|
1141 |
{
|
1142 |
-
"epoch": 20.
|
1143 |
-
"learning_rate":
|
1144 |
-
"loss": 0.
|
1145 |
"step": 1395
|
1146 |
},
|
1147 |
{
|
1148 |
-
"epoch": 20.
|
1149 |
-
"learning_rate":
|
1150 |
-
"loss": 0.
|
1151 |
"step": 1404
|
1152 |
},
|
1153 |
{
|
1154 |
-
"epoch": 20.
|
1155 |
-
"learning_rate":
|
1156 |
"loss": 0.0006,
|
1157 |
"step": 1413
|
1158 |
},
|
1159 |
{
|
1160 |
-
"epoch": 20.
|
1161 |
-
"learning_rate": 1.
|
1162 |
-
"loss": 0.
|
1163 |
"step": 1422
|
1164 |
},
|
1165 |
{
|
1166 |
-
"epoch":
|
1167 |
-
"
|
1168 |
-
"
|
1169 |
-
"eval_mean_distance": 0,
|
1170 |
-
"eval_runtime": 1.8242,
|
1171 |
-
"eval_samples_per_second": 42.21,
|
1172 |
-
"eval_steps_per_second": 1.645,
|
1173 |
-
"step": 1428
|
1174 |
-
},
|
1175 |
-
{
|
1176 |
-
"epoch": 21.04,
|
1177 |
-
"learning_rate": 1.7581699346405232e-05,
|
1178 |
-
"loss": 0.0027,
|
1179 |
"step": 1431
|
1180 |
},
|
1181 |
{
|
1182 |
-
"epoch":
|
1183 |
-
"learning_rate": 1.
|
1184 |
-
"loss": 0.
|
1185 |
"step": 1440
|
1186 |
},
|
1187 |
{
|
1188 |
-
"epoch": 21.
|
1189 |
-
"learning_rate": 1.
|
1190 |
-
"loss": 0.
|
1191 |
"step": 1449
|
1192 |
},
|
1193 |
{
|
1194 |
-
"epoch": 21.
|
1195 |
-
"
|
1196 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1197 |
"step": 1458
|
1198 |
},
|
1199 |
{
|
1200 |
-
"epoch": 21.
|
1201 |
-
"learning_rate": 1.
|
1202 |
-
"loss": 0.
|
1203 |
"step": 1467
|
1204 |
},
|
1205 |
{
|
1206 |
-
"epoch": 21.
|
1207 |
-
"learning_rate": 1.
|
1208 |
-
"loss": 0.
|
1209 |
"step": 1476
|
1210 |
},
|
1211 |
{
|
1212 |
-
"epoch": 21.
|
1213 |
-
"learning_rate": 1.
|
1214 |
-
"loss": 0.
|
1215 |
"step": 1485
|
1216 |
},
|
1217 |
{
|
1218 |
-
"epoch": 21.
|
1219 |
-
"learning_rate": 1.
|
1220 |
-
"loss": 0.
|
1221 |
"step": 1494
|
1222 |
},
|
1223 |
{
|
1224 |
-
"epoch":
|
1225 |
-
"
|
1226 |
-
"
|
1227 |
-
"eval_mean_distance": 0,
|
1228 |
-
"eval_runtime": 1.8261,
|
1229 |
-
"eval_samples_per_second": 42.166,
|
1230 |
-
"eval_steps_per_second": 1.643,
|
1231 |
-
"step": 1496
|
1232 |
-
},
|
1233 |
-
{
|
1234 |
-
"epoch": 22.1,
|
1235 |
-
"learning_rate": 1.2875816993464051e-05,
|
1236 |
-
"loss": 0.0004,
|
1237 |
"step": 1503
|
1238 |
},
|
1239 |
{
|
1240 |
-
"epoch":
|
1241 |
-
"learning_rate": 1.
|
1242 |
-
"loss": 0.
|
1243 |
"step": 1512
|
1244 |
},
|
1245 |
{
|
1246 |
-
"epoch": 22.
|
1247 |
-
"
|
1248 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1249 |
"step": 1521
|
1250 |
},
|
1251 |
{
|
1252 |
-
"epoch": 22.
|
1253 |
-
"learning_rate": 1.
|
1254 |
-
"loss": 0.
|
1255 |
"step": 1530
|
1256 |
},
|
1257 |
{
|
1258 |
-
"epoch": 22.
|
1259 |
-
"learning_rate": 1.
|
1260 |
-
"loss": 0.
|
1261 |
"step": 1539
|
1262 |
},
|
1263 |
{
|
1264 |
-
"epoch": 22.
|
1265 |
-
"learning_rate":
|
1266 |
-
"loss": 0.
|
1267 |
"step": 1548
|
1268 |
},
|
1269 |
{
|
1270 |
-
"epoch": 22.
|
1271 |
-
"learning_rate":
|
1272 |
-
"loss": 0.
|
1273 |
"step": 1557
|
1274 |
},
|
1275 |
{
|
1276 |
-
"epoch":
|
1277 |
-
"
|
1278 |
-
"
|
1279 |
-
"eval_mean_distance": 0,
|
1280 |
-
"eval_runtime": 1.8234,
|
1281 |
-
"eval_samples_per_second": 42.23,
|
1282 |
-
"eval_steps_per_second": 1.645,
|
1283 |
-
"step": 1564
|
1284 |
-
},
|
1285 |
-
{
|
1286 |
-
"epoch": 23.03,
|
1287 |
-
"learning_rate": 8.758169934640522e-06,
|
1288 |
-
"loss": 0.0025,
|
1289 |
"step": 1566
|
1290 |
},
|
1291 |
{
|
1292 |
-
"epoch":
|
1293 |
-
"learning_rate":
|
1294 |
-
"loss": 0.
|
1295 |
"step": 1575
|
1296 |
},
|
1297 |
{
|
1298 |
-
"epoch":
|
1299 |
-
"learning_rate":
|
1300 |
-
"loss": 0.
|
1301 |
"step": 1584
|
1302 |
},
|
1303 |
{
|
1304 |
-
"epoch": 23.
|
1305 |
-
"
|
1306 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1307 |
"step": 1593
|
1308 |
},
|
1309 |
{
|
1310 |
-
"epoch": 23.
|
1311 |
-
"learning_rate":
|
1312 |
-
"loss": 0.
|
1313 |
"step": 1602
|
1314 |
},
|
1315 |
{
|
1316 |
-
"epoch": 23.
|
1317 |
-
"learning_rate":
|
1318 |
-
"loss": 0.
|
1319 |
"step": 1611
|
1320 |
},
|
1321 |
{
|
1322 |
-
"epoch": 23.
|
1323 |
-
"learning_rate":
|
1324 |
-
"loss": 0.
|
1325 |
"step": 1620
|
1326 |
},
|
1327 |
{
|
1328 |
-
"epoch": 23.
|
1329 |
-
"learning_rate":
|
1330 |
-
"loss": 0.
|
1331 |
"step": 1629
|
1332 |
},
|
1333 |
{
|
1334 |
-
"epoch":
|
1335 |
-
"
|
1336 |
-
"
|
1337 |
-
"eval_mean_distance": 0,
|
1338 |
-
"eval_runtime": 1.8281,
|
1339 |
-
"eval_samples_per_second": 42.12,
|
1340 |
-
"eval_steps_per_second": 1.641,
|
1341 |
-
"step": 1632
|
1342 |
-
},
|
1343 |
-
{
|
1344 |
-
"epoch": 24.09,
|
1345 |
-
"learning_rate": 4.052287581699347e-06,
|
1346 |
-
"loss": 0.0015,
|
1347 |
"step": 1638
|
1348 |
},
|
1349 |
{
|
1350 |
-
"epoch":
|
1351 |
-
"learning_rate":
|
1352 |
"loss": 0.0013,
|
1353 |
"step": 1647
|
1354 |
},
|
1355 |
{
|
1356 |
-
"epoch": 24.
|
1357 |
-
"learning_rate":
|
1358 |
-
"loss": 0.
|
1359 |
"step": 1656
|
1360 |
},
|
1361 |
{
|
1362 |
-
"epoch": 24.
|
1363 |
-
"
|
1364 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1365 |
"step": 1665
|
1366 |
},
|
1367 |
{
|
1368 |
-
"epoch": 24.
|
1369 |
-
"learning_rate":
|
1370 |
-
"loss": 0.
|
1371 |
"step": 1674
|
1372 |
},
|
1373 |
{
|
1374 |
-
"epoch": 24.
|
1375 |
-
"learning_rate":
|
1376 |
-
"loss": 0.
|
1377 |
"step": 1683
|
1378 |
},
|
1379 |
{
|
1380 |
-
"epoch": 24.
|
1381 |
-
"learning_rate":
|
1382 |
-
"loss": 0.
|
1383 |
"step": 1692
|
1384 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1385 |
{
|
1386 |
"epoch": 25.0,
|
1387 |
-
"eval_loss": 0.
|
1388 |
-
"eval_max_distance":
|
1389 |
"eval_mean_distance": 0,
|
1390 |
-
"eval_runtime":
|
1391 |
-
"eval_samples_per_second": 40.
|
1392 |
-
"eval_steps_per_second": 1.
|
1393 |
-
"step":
|
1394 |
},
|
1395 |
{
|
1396 |
"epoch": 25.0,
|
1397 |
-
"step":
|
1398 |
-
"total_flos":
|
1399 |
-
"train_loss": 0.
|
1400 |
-
"train_runtime":
|
1401 |
-
"train_samples_per_second":
|
1402 |
-
"train_steps_per_second": 8.
|
1403 |
}
|
1404 |
],
|
1405 |
"logging_steps": 9,
|
1406 |
-
"max_steps":
|
1407 |
"num_train_epochs": 25,
|
1408 |
-
"save_steps":
|
1409 |
-
"total_flos":
|
1410 |
"trial_name": null,
|
1411 |
"trial_params": null
|
1412 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
"epoch": 25.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1725,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
+
"learning_rate": 5.780346820809248e-07,
|
14 |
+
"loss": 0.005,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.13,
|
19 |
+
"learning_rate": 5.202312138728324e-06,
|
20 |
+
"loss": 0.0008,
|
21 |
"step": 9
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.26,
|
25 |
+
"learning_rate": 1.0404624277456647e-05,
|
26 |
+
"loss": 0.0019,
|
27 |
"step": 18
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.39,
|
31 |
+
"learning_rate": 1.5606936416184973e-05,
|
32 |
+
"loss": 0.0019,
|
33 |
"step": 27
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.52,
|
37 |
+
"learning_rate": 2.0809248554913295e-05,
|
38 |
+
"loss": 0.0016,
|
39 |
"step": 36
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.65,
|
43 |
+
"learning_rate": 2.6011560693641617e-05,
|
44 |
+
"loss": 0.0027,
|
45 |
"step": 45
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.78,
|
49 |
+
"learning_rate": 3.1213872832369946e-05,
|
50 |
+
"loss": 0.0032,
|
51 |
"step": 54
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.91,
|
55 |
+
"learning_rate": 3.6416184971098265e-05,
|
56 |
+
"loss": 0.0013,
|
57 |
"step": 63
|
58 |
},
|
59 |
{
|
60 |
"epoch": 1.0,
|
61 |
+
"eval_loss": 0.002811400219798088,
|
62 |
+
"eval_max_distance": 2,
|
63 |
"eval_mean_distance": 0,
|
64 |
+
"eval_runtime": 1.9415,
|
65 |
+
"eval_samples_per_second": 42.235,
|
66 |
+
"eval_steps_per_second": 1.545,
|
67 |
+
"step": 69
|
68 |
},
|
69 |
{
|
70 |
+
"epoch": 1.04,
|
71 |
+
"learning_rate": 4.161849710982659e-05,
|
72 |
+
"loss": 0.0033,
|
73 |
"step": 72
|
74 |
},
|
75 |
{
|
76 |
+
"epoch": 1.17,
|
77 |
+
"learning_rate": 4.6820809248554915e-05,
|
78 |
+
"loss": 0.0034,
|
79 |
"step": 81
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 1.3,
|
83 |
+
"learning_rate": 5.2023121387283234e-05,
|
84 |
+
"loss": 0.0015,
|
85 |
"step": 90
|
86 |
},
|
87 |
{
|
88 |
+
"epoch": 1.43,
|
89 |
+
"learning_rate": 5.722543352601156e-05,
|
90 |
+
"loss": 0.0042,
|
91 |
"step": 99
|
92 |
},
|
93 |
{
|
94 |
+
"epoch": 1.57,
|
95 |
+
"learning_rate": 6.242774566473989e-05,
|
96 |
+
"loss": 0.0025,
|
97 |
"step": 108
|
98 |
},
|
99 |
{
|
100 |
+
"epoch": 1.7,
|
101 |
+
"learning_rate": 6.763005780346822e-05,
|
102 |
+
"loss": 0.0012,
|
103 |
"step": 117
|
104 |
},
|
105 |
{
|
106 |
+
"epoch": 1.83,
|
107 |
+
"learning_rate": 7.283236994219653e-05,
|
108 |
+
"loss": 0.002,
|
109 |
"step": 126
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 1.96,
|
113 |
+
"learning_rate": 7.803468208092485e-05,
|
114 |
+
"loss": 0.0006,
|
115 |
"step": 135
|
116 |
},
|
117 |
{
|
118 |
"epoch": 2.0,
|
119 |
+
"eval_loss": 0.0026117784436792135,
|
120 |
"eval_max_distance": 3,
|
121 |
"eval_mean_distance": 0,
|
122 |
+
"eval_runtime": 1.9167,
|
123 |
+
"eval_samples_per_second": 42.781,
|
124 |
+
"eval_steps_per_second": 1.565,
|
125 |
+
"step": 138
|
126 |
},
|
127 |
{
|
128 |
+
"epoch": 2.09,
|
129 |
+
"learning_rate": 8.323699421965318e-05,
|
130 |
+
"loss": 0.001,
|
131 |
"step": 144
|
132 |
},
|
133 |
{
|
134 |
+
"epoch": 2.22,
|
135 |
+
"learning_rate": 8.84393063583815e-05,
|
136 |
+
"loss": 0.0016,
|
137 |
"step": 153
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 2.35,
|
141 |
+
"learning_rate": 9.364161849710983e-05,
|
142 |
+
"loss": 0.0011,
|
143 |
"step": 162
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 2.48,
|
147 |
+
"learning_rate": 9.884393063583816e-05,
|
148 |
+
"loss": 0.001,
|
149 |
"step": 171
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 2.61,
|
153 |
+
"learning_rate": 9.954896907216495e-05,
|
154 |
+
"loss": 0.0026,
|
155 |
"step": 180
|
156 |
},
|
157 |
{
|
158 |
+
"epoch": 2.74,
|
159 |
+
"learning_rate": 9.896907216494846e-05,
|
160 |
+
"loss": 0.0008,
|
161 |
"step": 189
|
162 |
},
|
163 |
{
|
164 |
+
"epoch": 2.87,
|
165 |
+
"learning_rate": 9.838917525773196e-05,
|
166 |
+
"loss": 0.0022,
|
167 |
"step": 198
|
168 |
},
|
169 |
{
|
170 |
"epoch": 3.0,
|
171 |
+
"learning_rate": 9.780927835051546e-05,
|
172 |
+
"loss": 0.0025,
|
173 |
+
"step": 207
|
|
|
|
|
|
|
|
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 3.0,
|
177 |
+
"eval_loss": 0.003930480219423771,
|
178 |
+
"eval_max_distance": 3,
|
179 |
+
"eval_mean_distance": 0,
|
180 |
+
"eval_runtime": 1.9341,
|
181 |
+
"eval_samples_per_second": 42.396,
|
182 |
+
"eval_steps_per_second": 1.551,
|
183 |
"step": 207
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 3.13,
|
187 |
+
"learning_rate": 9.722938144329897e-05,
|
188 |
+
"loss": 0.0019,
|
189 |
"step": 216
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 3.26,
|
193 |
+
"learning_rate": 9.664948453608248e-05,
|
194 |
+
"loss": 0.0024,
|
195 |
"step": 225
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 3.39,
|
199 |
+
"learning_rate": 9.606958762886598e-05,
|
200 |
+
"loss": 0.0007,
|
201 |
"step": 234
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 3.52,
|
205 |
+
"learning_rate": 9.54896907216495e-05,
|
206 |
+
"loss": 0.0026,
|
207 |
"step": 243
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 3.65,
|
211 |
+
"learning_rate": 9.490979381443299e-05,
|
212 |
+
"loss": 0.0009,
|
213 |
"step": 252
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 3.78,
|
217 |
+
"learning_rate": 9.43298969072165e-05,
|
218 |
+
"loss": 0.0012,
|
219 |
"step": 261
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 3.91,
|
223 |
+
"learning_rate": 9.375e-05,
|
224 |
+
"loss": 0.0004,
|
225 |
"step": 270
|
226 |
},
|
227 |
{
|
228 |
"epoch": 4.0,
|
229 |
+
"eval_loss": 0.0036886015441268682,
|
230 |
"eval_max_distance": 3,
|
231 |
"eval_mean_distance": 0,
|
232 |
+
"eval_runtime": 1.9271,
|
233 |
+
"eval_samples_per_second": 42.551,
|
234 |
+
"eval_steps_per_second": 1.557,
|
235 |
+
"step": 276
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 4.04,
|
239 |
+
"learning_rate": 9.317010309278351e-05,
|
240 |
+
"loss": 0.0018,
|
241 |
"step": 279
|
242 |
},
|
243 |
{
|
244 |
+
"epoch": 4.17,
|
245 |
+
"learning_rate": 9.259020618556701e-05,
|
246 |
+
"loss": 0.0017,
|
247 |
"step": 288
|
248 |
},
|
249 |
{
|
250 |
+
"epoch": 4.3,
|
251 |
+
"learning_rate": 9.201030927835051e-05,
|
252 |
+
"loss": 0.0014,
|
253 |
"step": 297
|
254 |
},
|
255 |
{
|
256 |
+
"epoch": 4.43,
|
257 |
+
"learning_rate": 9.143041237113402e-05,
|
258 |
+
"loss": 0.0005,
|
259 |
"step": 306
|
260 |
},
|
261 |
{
|
262 |
+
"epoch": 4.57,
|
263 |
+
"learning_rate": 9.085051546391753e-05,
|
264 |
+
"loss": 0.001,
|
265 |
"step": 315
|
266 |
},
|
267 |
{
|
268 |
+
"epoch": 4.7,
|
269 |
+
"learning_rate": 9.027061855670103e-05,
|
270 |
+
"loss": 0.002,
|
271 |
"step": 324
|
272 |
},
|
273 |
{
|
274 |
+
"epoch": 4.83,
|
275 |
+
"learning_rate": 8.969072164948454e-05,
|
276 |
+
"loss": 0.0016,
|
277 |
"step": 333
|
278 |
},
|
279 |
+
{
|
280 |
+
"epoch": 4.96,
|
281 |
+
"learning_rate": 8.911082474226806e-05,
|
282 |
+
"loss": 0.0005,
|
283 |
+
"step": 342
|
284 |
+
},
|
285 |
{
|
286 |
"epoch": 5.0,
|
287 |
+
"eval_loss": 0.009117466397583485,
|
288 |
"eval_max_distance": 3,
|
289 |
"eval_mean_distance": 0,
|
290 |
+
"eval_runtime": 1.9694,
|
291 |
+
"eval_samples_per_second": 41.638,
|
292 |
+
"eval_steps_per_second": 1.523,
|
293 |
+
"step": 345
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 5.09,
|
297 |
+
"learning_rate": 8.853092783505154e-05,
|
298 |
+
"loss": 0.0005,
|
|
|
|
|
|
|
|
|
|
|
|
|
299 |
"step": 351
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 5.22,
|
303 |
+
"learning_rate": 8.795103092783505e-05,
|
304 |
+
"loss": 0.0051,
|
305 |
"step": 360
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 5.35,
|
309 |
+
"learning_rate": 8.737113402061856e-05,
|
310 |
+
"loss": 0.0004,
|
311 |
"step": 369
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 5.48,
|
315 |
+
"learning_rate": 8.679123711340206e-05,
|
316 |
+
"loss": 0.0012,
|
317 |
"step": 378
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 5.61,
|
321 |
+
"learning_rate": 8.621134020618558e-05,
|
322 |
+
"loss": 0.001,
|
323 |
"step": 387
|
324 |
},
|
325 |
{
|
326 |
+
"epoch": 5.74,
|
327 |
+
"learning_rate": 8.563144329896907e-05,
|
328 |
+
"loss": 0.0015,
|
329 |
"step": 396
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 5.87,
|
333 |
+
"learning_rate": 8.505154639175259e-05,
|
334 |
+
"loss": 0.0016,
|
335 |
"step": 405
|
336 |
},
|
337 |
{
|
338 |
"epoch": 6.0,
|
339 |
+
"learning_rate": 8.447164948453608e-05,
|
340 |
+
"loss": 0.0009,
|
341 |
+
"step": 414
|
|
|
|
|
|
|
|
|
342 |
},
|
343 |
{
|
344 |
+
"epoch": 6.0,
|
345 |
+
"eval_loss": 0.0005720060435123742,
|
346 |
+
"eval_max_distance": 0,
|
347 |
+
"eval_mean_distance": 0,
|
348 |
+
"eval_runtime": 1.9399,
|
349 |
+
"eval_samples_per_second": 42.271,
|
350 |
+
"eval_steps_per_second": 1.546,
|
351 |
"step": 414
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 6.13,
|
355 |
+
"learning_rate": 8.38917525773196e-05,
|
356 |
+
"loss": 0.0005,
|
357 |
"step": 423
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 6.26,
|
361 |
+
"learning_rate": 8.331185567010311e-05,
|
362 |
+
"loss": 0.0006,
|
363 |
"step": 432
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 6.39,
|
367 |
+
"learning_rate": 8.273195876288659e-05,
|
368 |
+
"loss": 0.0014,
|
369 |
"step": 441
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 6.52,
|
373 |
+
"learning_rate": 8.21520618556701e-05,
|
374 |
+
"loss": 0.0019,
|
375 |
"step": 450
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 6.65,
|
379 |
+
"learning_rate": 8.157216494845362e-05,
|
380 |
+
"loss": 0.001,
|
381 |
"step": 459
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 6.78,
|
385 |
+
"learning_rate": 8.099226804123711e-05,
|
386 |
"loss": 0.0008,
|
387 |
"step": 468
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 6.91,
|
391 |
+
"learning_rate": 8.041237113402063e-05,
|
392 |
+
"loss": 0.0016,
|
393 |
+
"step": 477
|
|
|
|
|
|
|
|
|
394 |
},
|
395 |
{
|
396 |
+
"epoch": 7.0,
|
397 |
+
"eval_loss": 0.00027213190332986414,
|
398 |
+
"eval_max_distance": 0,
|
399 |
+
"eval_mean_distance": 0,
|
400 |
+
"eval_runtime": 1.9188,
|
401 |
+
"eval_samples_per_second": 42.735,
|
402 |
+
"eval_steps_per_second": 1.563,
|
403 |
+
"step": 483
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 7.04,
|
407 |
+
"learning_rate": 7.983247422680414e-05,
|
408 |
+
"loss": 0.0006,
|
409 |
"step": 486
|
410 |
},
|
411 |
{
|
412 |
+
"epoch": 7.17,
|
413 |
+
"learning_rate": 7.925257731958762e-05,
|
414 |
+
"loss": 0.007,
|
415 |
"step": 495
|
416 |
},
|
417 |
{
|
418 |
+
"epoch": 7.3,
|
419 |
+
"learning_rate": 7.867268041237113e-05,
|
420 |
+
"loss": 0.0004,
|
421 |
"step": 504
|
422 |
},
|
423 |
{
|
424 |
+
"epoch": 7.43,
|
425 |
+
"learning_rate": 7.809278350515465e-05,
|
426 |
+
"loss": 0.0016,
|
427 |
"step": 513
|
428 |
},
|
429 |
{
|
430 |
+
"epoch": 7.57,
|
431 |
+
"learning_rate": 7.751288659793814e-05,
|
432 |
+
"loss": 0.0006,
|
433 |
"step": 522
|
434 |
},
|
435 |
{
|
436 |
+
"epoch": 7.7,
|
437 |
+
"learning_rate": 7.693298969072166e-05,
|
438 |
+
"loss": 0.0011,
|
439 |
"step": 531
|
440 |
},
|
441 |
{
|
442 |
+
"epoch": 7.83,
|
443 |
+
"learning_rate": 7.635309278350515e-05,
|
444 |
+
"loss": 0.0014,
|
445 |
"step": 540
|
446 |
},
|
447 |
+
{
|
448 |
+
"epoch": 7.96,
|
449 |
+
"learning_rate": 7.577319587628867e-05,
|
450 |
+
"loss": 0.0012,
|
451 |
+
"step": 549
|
452 |
+
},
|
453 |
{
|
454 |
"epoch": 8.0,
|
455 |
+
"eval_loss": 0.011139851063489914,
|
456 |
+
"eval_max_distance": 5,
|
457 |
"eval_mean_distance": 0,
|
458 |
+
"eval_runtime": 1.9435,
|
459 |
+
"eval_samples_per_second": 42.193,
|
460 |
+
"eval_steps_per_second": 1.544,
|
461 |
+
"step": 552
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 8.09,
|
465 |
+
"learning_rate": 7.519329896907217e-05,
|
466 |
"loss": 0.0008,
|
|
|
|
|
|
|
|
|
|
|
|
|
467 |
"step": 558
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 8.22,
|
471 |
+
"learning_rate": 7.461340206185568e-05,
|
472 |
+
"loss": 0.0011,
|
473 |
"step": 567
|
474 |
},
|
475 |
{
|
476 |
+
"epoch": 8.35,
|
477 |
+
"learning_rate": 7.403350515463919e-05,
|
478 |
+
"loss": 0.0025,
|
479 |
"step": 576
|
480 |
},
|
481 |
{
|
482 |
+
"epoch": 8.48,
|
483 |
+
"learning_rate": 7.345360824742269e-05,
|
484 |
+
"loss": 0.003,
|
485 |
"step": 585
|
486 |
},
|
487 |
{
|
488 |
+
"epoch": 8.61,
|
489 |
+
"learning_rate": 7.287371134020619e-05,
|
490 |
+
"loss": 0.004,
|
491 |
"step": 594
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 8.74,
|
495 |
+
"learning_rate": 7.22938144329897e-05,
|
496 |
+
"loss": 0.002,
|
497 |
"step": 603
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 8.87,
|
501 |
+
"learning_rate": 7.17139175257732e-05,
|
502 |
+
"loss": 0.0007,
|
503 |
"step": 612
|
504 |
},
|
505 |
{
|
506 |
"epoch": 9.0,
|
507 |
+
"learning_rate": 7.113402061855671e-05,
|
508 |
+
"loss": 0.0008,
|
509 |
+
"step": 621
|
|
|
|
|
|
|
|
|
510 |
},
|
511 |
{
|
512 |
+
"epoch": 9.0,
|
513 |
+
"eval_loss": 0.0003953798732254654,
|
514 |
+
"eval_max_distance": 0,
|
515 |
+
"eval_mean_distance": 0,
|
516 |
+
"eval_runtime": 1.995,
|
517 |
+
"eval_samples_per_second": 41.102,
|
518 |
+
"eval_steps_per_second": 1.504,
|
519 |
"step": 621
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 9.13,
|
523 |
+
"learning_rate": 7.055412371134022e-05,
|
524 |
+
"loss": 0.0005,
|
525 |
"step": 630
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 9.26,
|
529 |
+
"learning_rate": 6.99742268041237e-05,
|
530 |
+
"loss": 0.0004,
|
531 |
"step": 639
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 9.39,
|
535 |
+
"learning_rate": 6.939432989690722e-05,
|
536 |
+
"loss": 0.0013,
|
537 |
"step": 648
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 9.52,
|
541 |
+
"learning_rate": 6.881443298969073e-05,
|
542 |
+
"loss": 0.0002,
|
543 |
"step": 657
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 9.65,
|
547 |
+
"learning_rate": 6.823453608247423e-05,
|
548 |
+
"loss": 0.0011,
|
549 |
"step": 666
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 9.78,
|
553 |
+
"learning_rate": 6.765463917525774e-05,
|
554 |
+
"loss": 0.0018,
|
555 |
"step": 675
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 9.91,
|
559 |
+
"learning_rate": 6.707474226804124e-05,
|
560 |
+
"loss": 0.0018,
|
561 |
+
"step": 684
|
|
|
|
|
|
|
|
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 10.0,
|
565 |
+
"eval_loss": 0.00027754431357607245,
|
566 |
+
"eval_max_distance": 0,
|
567 |
+
"eval_mean_distance": 0,
|
568 |
+
"eval_runtime": 1.9222,
|
569 |
+
"eval_samples_per_second": 42.659,
|
570 |
+
"eval_steps_per_second": 1.561,
|
571 |
+
"step": 690
|
572 |
},
|
573 |
{
|
574 |
+
"epoch": 10.04,
|
575 |
+
"learning_rate": 6.649484536082475e-05,
|
576 |
+
"loss": 0.0011,
|
577 |
"step": 693
|
578 |
},
|
579 |
{
|
580 |
+
"epoch": 10.17,
|
581 |
+
"learning_rate": 6.591494845360825e-05,
|
582 |
+
"loss": 0.0006,
|
583 |
"step": 702
|
584 |
},
|
585 |
{
|
586 |
+
"epoch": 10.3,
|
587 |
+
"learning_rate": 6.533505154639176e-05,
|
588 |
+
"loss": 0.0011,
|
589 |
"step": 711
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 10.43,
|
593 |
+
"learning_rate": 6.475515463917527e-05,
|
594 |
+
"loss": 0.0013,
|
595 |
"step": 720
|
596 |
},
|
597 |
{
|
598 |
+
"epoch": 10.57,
|
599 |
+
"learning_rate": 6.417525773195877e-05,
|
600 |
+
"loss": 0.0006,
|
601 |
"step": 729
|
602 |
},
|
603 |
{
|
604 |
+
"epoch": 10.7,
|
605 |
+
"learning_rate": 6.359536082474227e-05,
|
606 |
+
"loss": 0.0018,
|
607 |
"step": 738
|
608 |
},
|
609 |
{
|
610 |
+
"epoch": 10.83,
|
611 |
+
"learning_rate": 6.301546391752578e-05,
|
612 |
+
"loss": 0.0016,
|
613 |
"step": 747
|
614 |
},
|
615 |
{
|
616 |
+
"epoch": 10.96,
|
617 |
+
"learning_rate": 6.243556701030928e-05,
|
618 |
+
"loss": 0.0028,
|
619 |
+
"step": 756
|
|
|
|
|
|
|
|
|
620 |
},
|
621 |
{
|
622 |
+
"epoch": 11.0,
|
623 |
+
"eval_loss": 0.00033258015173487365,
|
624 |
+
"eval_max_distance": 0,
|
625 |
+
"eval_mean_distance": 0,
|
626 |
+
"eval_runtime": 1.9385,
|
627 |
+
"eval_samples_per_second": 42.301,
|
628 |
+
"eval_steps_per_second": 1.548,
|
629 |
+
"step": 759
|
630 |
},
|
631 |
{
|
632 |
+
"epoch": 11.09,
|
633 |
+
"learning_rate": 6.185567010309279e-05,
|
634 |
+
"loss": 0.0009,
|
635 |
"step": 765
|
636 |
},
|
637 |
{
|
638 |
+
"epoch": 11.22,
|
639 |
+
"learning_rate": 6.12757731958763e-05,
|
640 |
+
"loss": 0.0005,
|
641 |
"step": 774
|
642 |
},
|
643 |
{
|
644 |
+
"epoch": 11.35,
|
645 |
+
"learning_rate": 6.069587628865979e-05,
|
646 |
+
"loss": 0.0011,
|
647 |
"step": 783
|
648 |
},
|
649 |
{
|
650 |
+
"epoch": 11.48,
|
651 |
+
"learning_rate": 6.01159793814433e-05,
|
652 |
+
"loss": 0.0007,
|
653 |
"step": 792
|
654 |
},
|
655 |
{
|
656 |
+
"epoch": 11.61,
|
657 |
+
"learning_rate": 5.953608247422681e-05,
|
658 |
+
"loss": 0.0012,
|
659 |
"step": 801
|
660 |
},
|
661 |
{
|
662 |
+
"epoch": 11.74,
|
663 |
+
"learning_rate": 5.8956185567010315e-05,
|
664 |
+
"loss": 0.0021,
|
665 |
"step": 810
|
666 |
},
|
667 |
{
|
668 |
+
"epoch": 11.87,
|
669 |
+
"learning_rate": 5.837628865979382e-05,
|
670 |
+
"loss": 0.0006,
|
671 |
+
"step": 819
|
|
|
|
|
|
|
|
|
672 |
},
|
673 |
{
|
674 |
+
"epoch": 12.0,
|
675 |
+
"learning_rate": 5.779639175257732e-05,
|
676 |
+
"loss": 0.0008,
|
677 |
+
"step": 828
|
678 |
},
|
679 |
{
|
680 |
+
"epoch": 12.0,
|
681 |
+
"eval_loss": 0.0002690624096430838,
|
682 |
+
"eval_max_distance": 0,
|
683 |
+
"eval_mean_distance": 0,
|
684 |
+
"eval_runtime": 1.9448,
|
685 |
+
"eval_samples_per_second": 42.163,
|
686 |
+
"eval_steps_per_second": 1.543,
|
687 |
"step": 828
|
688 |
},
|
689 |
{
|
690 |
+
"epoch": 12.13,
|
691 |
+
"learning_rate": 5.721649484536082e-05,
|
692 |
+
"loss": 0.001,
|
693 |
"step": 837
|
694 |
},
|
695 |
{
|
696 |
+
"epoch": 12.26,
|
697 |
+
"learning_rate": 5.663659793814433e-05,
|
698 |
+
"loss": 0.0012,
|
699 |
"step": 846
|
700 |
},
|
701 |
{
|
702 |
+
"epoch": 12.39,
|
703 |
+
"learning_rate": 5.605670103092784e-05,
|
704 |
+
"loss": 0.0005,
|
705 |
"step": 855
|
706 |
},
|
707 |
{
|
708 |
+
"epoch": 12.52,
|
709 |
+
"learning_rate": 5.5476804123711345e-05,
|
710 |
+
"loss": 0.0011,
|
711 |
"step": 864
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 12.65,
|
715 |
+
"learning_rate": 5.489690721649485e-05,
|
716 |
+
"loss": 0.0026,
|
717 |
"step": 873
|
718 |
},
|
719 |
{
|
720 |
+
"epoch": 12.78,
|
721 |
+
"learning_rate": 5.431701030927835e-05,
|
722 |
+
"loss": 0.0009,
|
723 |
"step": 882
|
724 |
},
|
725 |
{
|
726 |
+
"epoch": 12.91,
|
727 |
+
"learning_rate": 5.3737113402061854e-05,
|
728 |
+
"loss": 0.001,
|
729 |
+
"step": 891
|
|
|
|
|
|
|
|
|
730 |
},
|
731 |
{
|
732 |
+
"epoch": 13.0,
|
733 |
+
"eval_loss": 0.0004277784610167146,
|
734 |
+
"eval_max_distance": 2,
|
735 |
+
"eval_mean_distance": 0,
|
736 |
+
"eval_runtime": 1.9315,
|
737 |
+
"eval_samples_per_second": 42.454,
|
738 |
+
"eval_steps_per_second": 1.553,
|
739 |
+
"step": 897
|
740 |
},
|
741 |
{
|
742 |
+
"epoch": 13.04,
|
743 |
+
"learning_rate": 5.3157216494845366e-05,
|
744 |
+
"loss": 0.0007,
|
745 |
"step": 900
|
746 |
},
|
747 |
{
|
748 |
+
"epoch": 13.17,
|
749 |
+
"learning_rate": 5.257731958762887e-05,
|
750 |
"loss": 0.0008,
|
751 |
"step": 909
|
752 |
},
|
753 |
{
|
754 |
+
"epoch": 13.3,
|
755 |
+
"learning_rate": 5.1997422680412376e-05,
|
756 |
+
"loss": 0.0005,
|
757 |
"step": 918
|
758 |
},
|
759 |
{
|
760 |
+
"epoch": 13.43,
|
761 |
+
"learning_rate": 5.1417525773195874e-05,
|
762 |
+
"loss": 0.0004,
|
763 |
"step": 927
|
764 |
},
|
765 |
{
|
766 |
+
"epoch": 13.57,
|
767 |
+
"learning_rate": 5.083762886597938e-05,
|
768 |
+
"loss": 0.0006,
|
769 |
"step": 936
|
770 |
},
|
771 |
{
|
772 |
+
"epoch": 13.7,
|
773 |
+
"learning_rate": 5.025773195876289e-05,
|
774 |
+
"loss": 0.0025,
|
775 |
"step": 945
|
776 |
},
|
777 |
{
|
778 |
+
"epoch": 13.83,
|
779 |
+
"learning_rate": 4.9677835051546396e-05,
|
780 |
+
"loss": 0.0009,
|
781 |
+
"step": 954
|
|
|
|
|
|
|
|
|
782 |
},
|
783 |
{
|
784 |
+
"epoch": 13.96,
|
785 |
+
"learning_rate": 4.9097938144329895e-05,
|
786 |
+
"loss": 0.0026,
|
787 |
+
"step": 963
|
788 |
},
|
789 |
{
|
790 |
+
"epoch": 14.0,
|
791 |
+
"eval_loss": 0.0005385838449001312,
|
792 |
+
"eval_max_distance": 2,
|
793 |
+
"eval_mean_distance": 0,
|
794 |
+
"eval_runtime": 1.993,
|
795 |
+
"eval_samples_per_second": 41.144,
|
796 |
+
"eval_steps_per_second": 1.505,
|
797 |
+
"step": 966
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 14.09,
|
801 |
+
"learning_rate": 4.8518041237113407e-05,
|
802 |
+
"loss": 0.0016,
|
803 |
"step": 972
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 14.22,
|
807 |
+
"learning_rate": 4.793814432989691e-05,
|
808 |
+
"loss": 0.0014,
|
809 |
"step": 981
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 14.35,
|
813 |
+
"learning_rate": 4.735824742268041e-05,
|
814 |
+
"loss": 0.0007,
|
815 |
"step": 990
|
816 |
},
|
817 |
{
|
818 |
+
"epoch": 14.48,
|
819 |
+
"learning_rate": 4.677835051546392e-05,
|
820 |
+
"loss": 0.0031,
|
821 |
"step": 999
|
822 |
},
|
823 |
{
|
824 |
+
"epoch": 14.61,
|
825 |
+
"learning_rate": 4.619845360824743e-05,
|
826 |
+
"loss": 0.0008,
|
827 |
"step": 1008
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 14.74,
|
831 |
+
"learning_rate": 4.561855670103093e-05,
|
832 |
+
"loss": 0.0028,
|
833 |
"step": 1017
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 14.87,
|
837 |
+
"learning_rate": 4.503865979381444e-05,
|
838 |
+
"loss": 0.0004,
|
839 |
+
"step": 1026
|
|
|
|
|
|
|
|
|
840 |
},
|
841 |
{
|
842 |
+
"epoch": 15.0,
|
843 |
+
"learning_rate": 4.4458762886597936e-05,
|
844 |
+
"loss": 0.0015,
|
845 |
+
"step": 1035
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 15.0,
|
849 |
+
"eval_loss": 0.0007138837827369571,
|
850 |
+
"eval_max_distance": 3,
|
851 |
+
"eval_mean_distance": 0,
|
852 |
+
"eval_runtime": 1.9688,
|
853 |
+
"eval_samples_per_second": 41.651,
|
854 |
+
"eval_steps_per_second": 1.524,
|
855 |
"step": 1035
|
856 |
},
|
857 |
{
|
858 |
+
"epoch": 15.13,
|
859 |
+
"learning_rate": 4.387886597938145e-05,
|
860 |
+
"loss": 0.0005,
|
861 |
"step": 1044
|
862 |
},
|
863 |
{
|
864 |
+
"epoch": 15.26,
|
865 |
+
"learning_rate": 4.329896907216495e-05,
|
866 |
+
"loss": 0.0011,
|
867 |
"step": 1053
|
868 |
},
|
869 |
{
|
870 |
+
"epoch": 15.39,
|
871 |
+
"learning_rate": 4.271907216494845e-05,
|
872 |
+
"loss": 0.0001,
|
873 |
"step": 1062
|
874 |
},
|
875 |
{
|
876 |
+
"epoch": 15.52,
|
877 |
+
"learning_rate": 4.213917525773196e-05,
|
878 |
+
"loss": 0.0009,
|
879 |
"step": 1071
|
880 |
},
|
881 |
{
|
882 |
+
"epoch": 15.65,
|
883 |
+
"learning_rate": 4.155927835051547e-05,
|
884 |
+
"loss": 0.0017,
|
885 |
"step": 1080
|
886 |
},
|
887 |
{
|
888 |
+
"epoch": 15.78,
|
889 |
+
"learning_rate": 4.097938144329897e-05,
|
890 |
+
"loss": 0.0013,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
891 |
"step": 1089
|
892 |
},
|
893 |
{
|
894 |
+
"epoch": 15.91,
|
895 |
+
"learning_rate": 4.039948453608248e-05,
|
896 |
+
"loss": 0.0009,
|
897 |
"step": 1098
|
898 |
},
|
899 |
{
|
900 |
+
"epoch": 16.0,
|
901 |
+
"eval_loss": 0.0006717974320054054,
|
902 |
+
"eval_max_distance": 3,
|
903 |
+
"eval_mean_distance": 0,
|
904 |
+
"eval_runtime": 1.9244,
|
905 |
+
"eval_samples_per_second": 42.612,
|
906 |
+
"eval_steps_per_second": 1.559,
|
907 |
+
"step": 1104
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 16.04,
|
911 |
+
"learning_rate": 3.9819587628865976e-05,
|
912 |
+
"loss": 0.0015,
|
913 |
"step": 1107
|
914 |
},
|
915 |
{
|
916 |
+
"epoch": 16.17,
|
917 |
+
"learning_rate": 3.923969072164949e-05,
|
918 |
+
"loss": 0.0003,
|
919 |
"step": 1116
|
920 |
},
|
921 |
{
|
922 |
+
"epoch": 16.3,
|
923 |
+
"learning_rate": 3.865979381443299e-05,
|
924 |
"loss": 0.0006,
|
925 |
"step": 1125
|
926 |
},
|
927 |
{
|
928 |
+
"epoch": 16.43,
|
929 |
+
"learning_rate": 3.807989690721649e-05,
|
930 |
+
"loss": 0.0013,
|
931 |
"step": 1134
|
932 |
},
|
933 |
{
|
934 |
+
"epoch": 16.57,
|
935 |
+
"learning_rate": 3.7500000000000003e-05,
|
936 |
+
"loss": 0.0009,
|
937 |
"step": 1143
|
938 |
},
|
939 |
{
|
940 |
+
"epoch": 16.7,
|
941 |
+
"learning_rate": 3.692010309278351e-05,
|
942 |
+
"loss": 0.0004,
|
943 |
"step": 1152
|
944 |
},
|
945 |
{
|
946 |
+
"epoch": 16.83,
|
947 |
+
"learning_rate": 3.6340206185567014e-05,
|
948 |
+
"loss": 0.0008,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
949 |
"step": 1161
|
950 |
},
|
951 |
{
|
952 |
+
"epoch": 16.96,
|
953 |
+
"learning_rate": 3.576030927835052e-05,
|
954 |
+
"loss": 0.0014,
|
955 |
"step": 1170
|
956 |
},
|
957 |
{
|
958 |
+
"epoch": 17.0,
|
959 |
+
"eval_loss": 0.00033988503855653107,
|
960 |
+
"eval_max_distance": 0,
|
961 |
+
"eval_mean_distance": 0,
|
962 |
+
"eval_runtime": 1.9136,
|
963 |
+
"eval_samples_per_second": 42.851,
|
964 |
+
"eval_steps_per_second": 1.568,
|
965 |
+
"step": 1173
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 17.09,
|
969 |
+
"learning_rate": 3.5180412371134024e-05,
|
970 |
+
"loss": 0.0016,
|
971 |
"step": 1179
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 17.22,
|
975 |
+
"learning_rate": 3.460051546391753e-05,
|
976 |
+
"loss": 0.0004,
|
977 |
"step": 1188
|
978 |
},
|
979 |
{
|
980 |
+
"epoch": 17.35,
|
981 |
+
"learning_rate": 3.4020618556701034e-05,
|
982 |
+
"loss": 0.002,
|
983 |
"step": 1197
|
984 |
},
|
985 |
{
|
986 |
+
"epoch": 17.48,
|
987 |
+
"learning_rate": 3.344072164948453e-05,
|
988 |
+
"loss": 0.0012,
|
989 |
"step": 1206
|
990 |
},
|
991 |
{
|
992 |
+
"epoch": 17.61,
|
993 |
+
"learning_rate": 3.2860824742268044e-05,
|
994 |
+
"loss": 0.0002,
|
995 |
"step": 1215
|
996 |
},
|
997 |
{
|
998 |
+
"epoch": 17.74,
|
999 |
+
"learning_rate": 3.228092783505155e-05,
|
1000 |
"loss": 0.0006,
|
1001 |
"step": 1224
|
1002 |
},
|
1003 |
{
|
1004 |
+
"epoch": 17.87,
|
1005 |
+
"learning_rate": 3.1701030927835054e-05,
|
1006 |
+
"loss": 0.0044,
|
1007 |
+
"step": 1233
|
|
|
|
|
|
|
|
|
1008 |
},
|
1009 |
{
|
1010 |
+
"epoch": 18.0,
|
1011 |
+
"learning_rate": 3.112113402061856e-05,
|
1012 |
+
"loss": 0.001,
|
1013 |
+
"step": 1242
|
1014 |
},
|
1015 |
{
|
1016 |
+
"epoch": 18.0,
|
1017 |
+
"eval_loss": 0.00037691937177442014,
|
1018 |
+
"eval_max_distance": 0,
|
1019 |
+
"eval_mean_distance": 0,
|
1020 |
+
"eval_runtime": 1.9496,
|
1021 |
+
"eval_samples_per_second": 42.059,
|
1022 |
+
"eval_steps_per_second": 1.539,
|
1023 |
"step": 1242
|
1024 |
},
|
1025 |
{
|
1026 |
+
"epoch": 18.13,
|
1027 |
+
"learning_rate": 3.0541237113402065e-05,
|
1028 |
+
"loss": 0.0005,
|
1029 |
"step": 1251
|
1030 |
},
|
1031 |
{
|
1032 |
+
"epoch": 18.26,
|
1033 |
+
"learning_rate": 2.9961340206185566e-05,
|
1034 |
+
"loss": 0.0009,
|
1035 |
"step": 1260
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 18.39,
|
1039 |
+
"learning_rate": 2.9381443298969075e-05,
|
1040 |
+
"loss": 0.0008,
|
1041 |
"step": 1269
|
1042 |
},
|
1043 |
{
|
1044 |
+
"epoch": 18.52,
|
1045 |
+
"learning_rate": 2.8801546391752577e-05,
|
1046 |
+
"loss": 0.0007,
|
1047 |
"step": 1278
|
1048 |
},
|
1049 |
{
|
1050 |
+
"epoch": 18.65,
|
1051 |
+
"learning_rate": 2.8221649484536085e-05,
|
1052 |
+
"loss": 0.0016,
|
1053 |
"step": 1287
|
1054 |
},
|
1055 |
{
|
1056 |
+
"epoch": 18.78,
|
1057 |
+
"learning_rate": 2.764175257731959e-05,
|
1058 |
+
"loss": 0.0012,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1059 |
"step": 1296
|
1060 |
},
|
1061 |
{
|
1062 |
+
"epoch": 18.91,
|
1063 |
+
"learning_rate": 2.7061855670103092e-05,
|
1064 |
+
"loss": 0.0007,
|
1065 |
"step": 1305
|
1066 |
},
|
1067 |
{
|
1068 |
+
"epoch": 19.0,
|
1069 |
+
"eval_loss": 0.001327142701484263,
|
1070 |
+
"eval_max_distance": 3,
|
1071 |
+
"eval_mean_distance": 0,
|
1072 |
+
"eval_runtime": 1.9144,
|
1073 |
+
"eval_samples_per_second": 42.834,
|
1074 |
+
"eval_steps_per_second": 1.567,
|
1075 |
+
"step": 1311
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 19.04,
|
1079 |
+
"learning_rate": 2.64819587628866e-05,
|
1080 |
+
"loss": 0.0005,
|
1081 |
"step": 1314
|
1082 |
},
|
1083 |
{
|
1084 |
+
"epoch": 19.17,
|
1085 |
+
"learning_rate": 2.5902061855670106e-05,
|
1086 |
+
"loss": 0.0011,
|
1087 |
"step": 1323
|
1088 |
},
|
1089 |
{
|
1090 |
+
"epoch": 19.3,
|
1091 |
+
"learning_rate": 2.5322164948453607e-05,
|
1092 |
"loss": 0.0006,
|
1093 |
"step": 1332
|
1094 |
},
|
1095 |
{
|
1096 |
+
"epoch": 19.43,
|
1097 |
+
"learning_rate": 2.4742268041237116e-05,
|
1098 |
"loss": 0.0004,
|
1099 |
"step": 1341
|
1100 |
},
|
1101 |
{
|
1102 |
+
"epoch": 19.57,
|
1103 |
+
"learning_rate": 2.416237113402062e-05,
|
1104 |
+
"loss": 0.002,
|
1105 |
"step": 1350
|
1106 |
},
|
1107 |
{
|
1108 |
+
"epoch": 19.7,
|
1109 |
+
"learning_rate": 2.3582474226804126e-05,
|
1110 |
+
"loss": 0.0003,
|
1111 |
"step": 1359
|
1112 |
},
|
1113 |
{
|
1114 |
+
"epoch": 19.83,
|
1115 |
+
"learning_rate": 2.3002577319587628e-05,
|
1116 |
+
"loss": 0.0011,
|
1117 |
+
"step": 1368
|
|
|
|
|
|
|
|
|
1118 |
},
|
1119 |
{
|
1120 |
+
"epoch": 19.96,
|
1121 |
+
"learning_rate": 2.2422680412371136e-05,
|
1122 |
"loss": 0.0013,
|
1123 |
+
"step": 1377
|
1124 |
},
|
1125 |
{
|
1126 |
+
"epoch": 20.0,
|
1127 |
+
"eval_loss": 0.0012958323350176215,
|
1128 |
+
"eval_max_distance": 3,
|
1129 |
+
"eval_mean_distance": 0,
|
1130 |
+
"eval_runtime": 1.9255,
|
1131 |
+
"eval_samples_per_second": 42.587,
|
1132 |
+
"eval_steps_per_second": 1.558,
|
1133 |
+
"step": 1380
|
1134 |
},
|
1135 |
{
|
1136 |
+
"epoch": 20.09,
|
1137 |
+
"learning_rate": 2.184278350515464e-05,
|
1138 |
+
"loss": 0.0017,
|
1139 |
"step": 1386
|
1140 |
},
|
1141 |
{
|
1142 |
+
"epoch": 20.22,
|
1143 |
+
"learning_rate": 2.1262886597938146e-05,
|
1144 |
+
"loss": 0.0011,
|
1145 |
"step": 1395
|
1146 |
},
|
1147 |
{
|
1148 |
+
"epoch": 20.35,
|
1149 |
+
"learning_rate": 2.0682989690721648e-05,
|
1150 |
+
"loss": 0.0014,
|
1151 |
"step": 1404
|
1152 |
},
|
1153 |
{
|
1154 |
+
"epoch": 20.48,
|
1155 |
+
"learning_rate": 2.0103092783505157e-05,
|
1156 |
"loss": 0.0006,
|
1157 |
"step": 1413
|
1158 |
},
|
1159 |
{
|
1160 |
+
"epoch": 20.61,
|
1161 |
+
"learning_rate": 1.952319587628866e-05,
|
1162 |
+
"loss": 0.0003,
|
1163 |
"step": 1422
|
1164 |
},
|
1165 |
{
|
1166 |
+
"epoch": 20.74,
|
1167 |
+
"learning_rate": 1.8943298969072167e-05,
|
1168 |
+
"loss": 0.0002,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1169 |
"step": 1431
|
1170 |
},
|
1171 |
{
|
1172 |
+
"epoch": 20.87,
|
1173 |
+
"learning_rate": 1.8363402061855672e-05,
|
1174 |
+
"loss": 0.0024,
|
1175 |
"step": 1440
|
1176 |
},
|
1177 |
{
|
1178 |
+
"epoch": 21.0,
|
1179 |
+
"learning_rate": 1.7783505154639177e-05,
|
1180 |
+
"loss": 0.0007,
|
1181 |
"step": 1449
|
1182 |
},
|
1183 |
{
|
1184 |
+
"epoch": 21.0,
|
1185 |
+
"eval_loss": 0.0002567500632721931,
|
1186 |
+
"eval_max_distance": 0,
|
1187 |
+
"eval_mean_distance": 0,
|
1188 |
+
"eval_runtime": 1.9342,
|
1189 |
+
"eval_samples_per_second": 42.395,
|
1190 |
+
"eval_steps_per_second": 1.551,
|
1191 |
+
"step": 1449
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 21.13,
|
1195 |
+
"learning_rate": 1.7203608247422682e-05,
|
1196 |
+
"loss": 0.0006,
|
1197 |
"step": 1458
|
1198 |
},
|
1199 |
{
|
1200 |
+
"epoch": 21.26,
|
1201 |
+
"learning_rate": 1.6623711340206187e-05,
|
1202 |
+
"loss": 0.002,
|
1203 |
"step": 1467
|
1204 |
},
|
1205 |
{
|
1206 |
+
"epoch": 21.39,
|
1207 |
+
"learning_rate": 1.6043814432989692e-05,
|
1208 |
+
"loss": 0.0007,
|
1209 |
"step": 1476
|
1210 |
},
|
1211 |
{
|
1212 |
+
"epoch": 21.52,
|
1213 |
+
"learning_rate": 1.5463917525773197e-05,
|
1214 |
+
"loss": 0.0007,
|
1215 |
"step": 1485
|
1216 |
},
|
1217 |
{
|
1218 |
+
"epoch": 21.65,
|
1219 |
+
"learning_rate": 1.4884020618556702e-05,
|
1220 |
+
"loss": 0.0016,
|
1221 |
"step": 1494
|
1222 |
},
|
1223 |
{
|
1224 |
+
"epoch": 21.78,
|
1225 |
+
"learning_rate": 1.4304123711340206e-05,
|
1226 |
+
"loss": 0.0008,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1227 |
"step": 1503
|
1228 |
},
|
1229 |
{
|
1230 |
+
"epoch": 21.91,
|
1231 |
+
"learning_rate": 1.3724226804123713e-05,
|
1232 |
+
"loss": 0.0016,
|
1233 |
"step": 1512
|
1234 |
},
|
1235 |
{
|
1236 |
+
"epoch": 22.0,
|
1237 |
+
"eval_loss": 0.0002821955131366849,
|
1238 |
+
"eval_max_distance": 0,
|
1239 |
+
"eval_mean_distance": 0,
|
1240 |
+
"eval_runtime": 1.9113,
|
1241 |
+
"eval_samples_per_second": 42.902,
|
1242 |
+
"eval_steps_per_second": 1.57,
|
1243 |
+
"step": 1518
|
1244 |
+
},
|
1245 |
+
{
|
1246 |
+
"epoch": 22.04,
|
1247 |
+
"learning_rate": 1.3144329896907218e-05,
|
1248 |
+
"loss": 0.0018,
|
1249 |
"step": 1521
|
1250 |
},
|
1251 |
{
|
1252 |
+
"epoch": 22.17,
|
1253 |
+
"learning_rate": 1.2564432989690723e-05,
|
1254 |
+
"loss": 0.0027,
|
1255 |
"step": 1530
|
1256 |
},
|
1257 |
{
|
1258 |
+
"epoch": 22.3,
|
1259 |
+
"learning_rate": 1.1984536082474228e-05,
|
1260 |
+
"loss": 0.0002,
|
1261 |
"step": 1539
|
1262 |
},
|
1263 |
{
|
1264 |
+
"epoch": 22.43,
|
1265 |
+
"learning_rate": 1.1404639175257733e-05,
|
1266 |
+
"loss": 0.001,
|
1267 |
"step": 1548
|
1268 |
},
|
1269 |
{
|
1270 |
+
"epoch": 22.57,
|
1271 |
+
"learning_rate": 1.0824742268041238e-05,
|
1272 |
+
"loss": 0.0007,
|
1273 |
"step": 1557
|
1274 |
},
|
1275 |
{
|
1276 |
+
"epoch": 22.7,
|
1277 |
+
"learning_rate": 1.0244845360824743e-05,
|
1278 |
+
"loss": 0.0009,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1279 |
"step": 1566
|
1280 |
},
|
1281 |
{
|
1282 |
+
"epoch": 22.83,
|
1283 |
+
"learning_rate": 9.664948453608248e-06,
|
1284 |
+
"loss": 0.0012,
|
1285 |
"step": 1575
|
1286 |
},
|
1287 |
{
|
1288 |
+
"epoch": 22.96,
|
1289 |
+
"learning_rate": 9.085051546391753e-06,
|
1290 |
+
"loss": 0.0013,
|
1291 |
"step": 1584
|
1292 |
},
|
1293 |
{
|
1294 |
+
"epoch": 23.0,
|
1295 |
+
"eval_loss": 0.00030223012436181307,
|
1296 |
+
"eval_max_distance": 0,
|
1297 |
+
"eval_mean_distance": 0,
|
1298 |
+
"eval_runtime": 1.9675,
|
1299 |
+
"eval_samples_per_second": 41.677,
|
1300 |
+
"eval_steps_per_second": 1.525,
|
1301 |
+
"step": 1587
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 23.09,
|
1305 |
+
"learning_rate": 8.505154639175259e-06,
|
1306 |
+
"loss": 0.0025,
|
1307 |
"step": 1593
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 23.22,
|
1311 |
+
"learning_rate": 7.925257731958764e-06,
|
1312 |
+
"loss": 0.001,
|
1313 |
"step": 1602
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 23.35,
|
1317 |
+
"learning_rate": 7.345360824742269e-06,
|
1318 |
+
"loss": 0.0004,
|
1319 |
"step": 1611
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 23.48,
|
1323 |
+
"learning_rate": 6.765463917525773e-06,
|
1324 |
+
"loss": 0.0006,
|
1325 |
"step": 1620
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 23.61,
|
1329 |
+
"learning_rate": 6.185567010309279e-06,
|
1330 |
+
"loss": 0.001,
|
1331 |
"step": 1629
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 23.74,
|
1335 |
+
"learning_rate": 5.605670103092784e-06,
|
1336 |
+
"loss": 0.0012,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1337 |
"step": 1638
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 23.87,
|
1341 |
+
"learning_rate": 5.025773195876289e-06,
|
1342 |
"loss": 0.0013,
|
1343 |
"step": 1647
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 24.0,
|
1347 |
+
"learning_rate": 4.445876288659794e-06,
|
1348 |
+
"loss": 0.0004,
|
1349 |
"step": 1656
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 24.0,
|
1353 |
+
"eval_loss": 0.0002631743554957211,
|
1354 |
+
"eval_max_distance": 0,
|
1355 |
+
"eval_mean_distance": 0,
|
1356 |
+
"eval_runtime": 1.9278,
|
1357 |
+
"eval_samples_per_second": 42.536,
|
1358 |
+
"eval_steps_per_second": 1.556,
|
1359 |
+
"step": 1656
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 24.13,
|
1363 |
+
"learning_rate": 3.865979381443299e-06,
|
1364 |
+
"loss": 0.0018,
|
1365 |
"step": 1665
|
1366 |
},
|
1367 |
{
|
1368 |
+
"epoch": 24.26,
|
1369 |
+
"learning_rate": 3.2860824742268044e-06,
|
1370 |
+
"loss": 0.0006,
|
1371 |
"step": 1674
|
1372 |
},
|
1373 |
{
|
1374 |
+
"epoch": 24.39,
|
1375 |
+
"learning_rate": 2.7061855670103095e-06,
|
1376 |
+
"loss": 0.0012,
|
1377 |
"step": 1683
|
1378 |
},
|
1379 |
{
|
1380 |
+
"epoch": 24.52,
|
1381 |
+
"learning_rate": 2.1262886597938146e-06,
|
1382 |
+
"loss": 0.0009,
|
1383 |
"step": 1692
|
1384 |
},
|
1385 |
+
{
|
1386 |
+
"epoch": 24.65,
|
1387 |
+
"learning_rate": 1.5463917525773197e-06,
|
1388 |
+
"loss": 0.0007,
|
1389 |
+
"step": 1701
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 24.78,
|
1393 |
+
"learning_rate": 9.664948453608248e-07,
|
1394 |
+
"loss": 0.0009,
|
1395 |
+
"step": 1710
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 24.91,
|
1399 |
+
"learning_rate": 3.8659793814432993e-07,
|
1400 |
+
"loss": 0.001,
|
1401 |
+
"step": 1719
|
1402 |
+
},
|
1403 |
{
|
1404 |
"epoch": 25.0,
|
1405 |
+
"eval_loss": 0.0002593309909570962,
|
1406 |
+
"eval_max_distance": 0,
|
1407 |
"eval_mean_distance": 0,
|
1408 |
+
"eval_runtime": 2.0449,
|
1409 |
+
"eval_samples_per_second": 40.1,
|
1410 |
+
"eval_steps_per_second": 1.467,
|
1411 |
+
"step": 1725
|
1412 |
},
|
1413 |
{
|
1414 |
"epoch": 25.0,
|
1415 |
+
"step": 1725,
|
1416 |
+
"total_flos": 459342194208768.0,
|
1417 |
+
"train_loss": 0.0013090899151048043,
|
1418 |
+
"train_runtime": 199.817,
|
1419 |
+
"train_samples_per_second": 256.61,
|
1420 |
+
"train_steps_per_second": 8.633
|
1421 |
}
|
1422 |
],
|
1423 |
"logging_steps": 9,
|
1424 |
+
"max_steps": 1725,
|
1425 |
"num_train_epochs": 25,
|
1426 |
+
"save_steps": 18,
|
1427 |
+
"total_flos": 459342194208768.0,
|
1428 |
"trial_name": null,
|
1429 |
"trial_params": null
|
1430 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1715be697a9be6fe0784bf769267cffcc821d071738c8fdd99dec6f06f39db0
|
3 |
+
size 4091
|