End of training
Browse files- README.md +20 -25
- pytorch_model.bin +1 -1
- trainer_state.json +904 -954
- training_args.bin +1 -1
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 |
|
@@ -43,32 +43,27 @@ The following hyperparameters were used during training:
|
|
43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
44 |
- lr_scheduler_type: linear
|
45 |
- lr_scheduler_warmup_ratio: 0.1
|
46 |
-
- num_epochs:
|
47 |
|
48 |
### Training results
|
49 |
|
50 |
-
| Training Loss | Epoch | Step | Validation Loss |
|
51 |
-
|
52 |
-
| 0.0052 | 1.0 |
|
53 |
-
| 0.
|
54 |
-
| 0.0043 | 3.0 |
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.0032 | 6.0 |
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.0023 | 10.0 |
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.0014 | 16.0 | 224704 | 0.0407 | 0 | 6 |
|
68 |
-
| 0.0014 | 17.0 | 238748 | 0.0427 | 0 | 6 |
|
69 |
-
| 0.0014 | 18.0 | 252792 | 0.0411 | 0 | 6 |
|
70 |
-
| 0.0013 | 19.0 | 266836 | 0.0406 | 0 | 6 |
|
71 |
-
| 0.0013 | 20.0 | 280880 | 0.0405 | 0 | 6 |
|
72 |
|
73 |
|
74 |
### 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: 0.0366
|
19 |
- Mean Distance: 0
|
20 |
+
- Max Distance: 8
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
44 |
- lr_scheduler_type: linear
|
45 |
- lr_scheduler_warmup_ratio: 0.1
|
46 |
+
- num_epochs: 15
|
47 |
|
48 |
### Training results
|
49 |
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|
51 |
+
|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
|
52 |
+
| 0.0052 | 1.0 | 22916 | 0.0271 | 0 | 9 |
|
53 |
+
| 0.0051 | 2.0 | 45832 | 0.0261 | 0 | 8 |
|
54 |
+
| 0.0043 | 3.0 | 68748 | 0.0313 | 0 | 8 |
|
55 |
+
| 0.0041 | 4.0 | 91664 | 0.0278 | 0 | 10 |
|
56 |
+
| 0.0037 | 5.0 | 114580 | 0.0280 | 0 | 8 |
|
57 |
+
| 0.0032 | 6.0 | 137496 | 0.0288 | 0 | 8 |
|
58 |
+
| 0.003 | 7.0 | 160412 | 0.0308 | 0 | 8 |
|
59 |
+
| 0.0025 | 8.0 | 183328 | 0.0305 | 0 | 8 |
|
60 |
+
| 0.0025 | 9.0 | 206244 | 0.0303 | 0 | 8 |
|
61 |
+
| 0.0023 | 10.0 | 229160 | 0.0341 | 0 | 8 |
|
62 |
+
| 0.0022 | 11.0 | 252076 | 0.0329 | 0 | 8 |
|
63 |
+
| 0.0019 | 12.0 | 274992 | 0.0336 | 0 | 8 |
|
64 |
+
| 0.002 | 13.0 | 297908 | 0.0358 | 0 | 8 |
|
65 |
+
| 0.0018 | 14.0 | 320824 | 0.0355 | 0 | 8 |
|
66 |
+
| 0.0019 | 15.0 | 343740 | 0.0366 | 0 | 8 |
|
|
|
|
|
|
|
|
|
|
|
67 |
|
68 |
|
69 |
### 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:f02dda551ed1f056d9fed08e40df3447ff8597cf88883f5f1ca2067d54133a61
|
3 |
size 258643461
|
trainer_state.json
CHANGED
@@ -1,1428 +1,1378 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
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": 0.0,
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 0.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0.
|
19 |
-
"learning_rate": 5.
|
20 |
-
"loss": 0.
|
21 |
-
"step":
|
22 |
},
|
23 |
{
|
24 |
-
"epoch": 0.
|
25 |
-
"learning_rate": 1.
|
26 |
-
"loss": 0.
|
27 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.3,
|
31 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
32 |
"loss": 0.0052,
|
33 |
-
"step":
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"learning_rate":
|
38 |
-
"loss": 0.
|
39 |
-
"step":
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"learning_rate":
|
44 |
-
"loss": 0.
|
45 |
-
"step":
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.6,
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 0.
|
51 |
-
"step":
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate":
|
56 |
-
"loss": 0.
|
57 |
-
"step":
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
-
"learning_rate":
|
62 |
"loss": 0.0051,
|
63 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.9,
|
67 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
68 |
"loss": 0.0052,
|
69 |
-
"step":
|
70 |
},
|
71 |
{
|
72 |
"epoch": 1.0,
|
73 |
-
"eval_loss": 0.
|
74 |
"eval_max_distance": 9,
|
75 |
"eval_mean_distance": 0,
|
76 |
-
"eval_runtime":
|
77 |
-
"eval_samples_per_second": 17.
|
78 |
-
"eval_steps_per_second": 1.
|
79 |
-
"step":
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 1.
|
83 |
-
"learning_rate":
|
84 |
"loss": 0.0045,
|
85 |
-
"step":
|
86 |
},
|
87 |
{
|
88 |
-
"epoch": 1.
|
89 |
-
"learning_rate":
|
90 |
-
"loss": 0.
|
91 |
-
"step":
|
92 |
},
|
93 |
{
|
94 |
"epoch": 1.2,
|
95 |
-
"learning_rate":
|
96 |
-
"loss": 0.
|
97 |
-
"step":
|
98 |
},
|
99 |
{
|
100 |
-
"epoch": 1.
|
101 |
-
"learning_rate":
|
102 |
"loss": 0.0045,
|
103 |
-
"step":
|
104 |
},
|
105 |
{
|
106 |
-
"epoch": 1.
|
107 |
-
"learning_rate":
|
108 |
-
"loss": 0.
|
109 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
110 |
},
|
111 |
{
|
112 |
"epoch": 1.5,
|
113 |
-
"learning_rate":
|
114 |
-
"loss": 0.
|
115 |
-
"step":
|
116 |
},
|
117 |
{
|
118 |
-
"epoch": 1.
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 0.
|
121 |
-
"step":
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 1.
|
125 |
-
"learning_rate":
|
126 |
-
"loss": 0.
|
127 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
},
|
129 |
{
|
130 |
"epoch": 1.8,
|
131 |
-
"learning_rate": 9.
|
132 |
-
"loss": 0.
|
133 |
-
"step":
|
134 |
},
|
135 |
{
|
136 |
-
"epoch": 1.
|
137 |
-
"learning_rate": 9.
|
138 |
-
"loss": 0.
|
139 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
140 |
},
|
141 |
{
|
142 |
"epoch": 2.0,
|
143 |
-
"eval_loss": 0.
|
144 |
-
"eval_max_distance":
|
145 |
"eval_mean_distance": 0,
|
146 |
-
"eval_runtime":
|
147 |
-
"eval_samples_per_second":
|
148 |
-
"eval_steps_per_second": 1.
|
149 |
-
"step":
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 2.
|
153 |
-
"learning_rate": 9.
|
154 |
-
"loss": 0.
|
155 |
-
"step":
|
156 |
},
|
157 |
{
|
158 |
"epoch": 2.1,
|
159 |
-
"learning_rate": 9.
|
160 |
-
"loss": 0.
|
161 |
-
"step":
|
162 |
},
|
163 |
{
|
164 |
-
"epoch": 2.
|
165 |
-
"learning_rate": 9.
|
166 |
-
"loss": 0.
|
167 |
-
"step":
|
168 |
},
|
169 |
{
|
170 |
-
"epoch": 2.
|
171 |
-
"learning_rate": 9.
|
172 |
-
"loss": 0.
|
173 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
174 |
},
|
175 |
{
|
176 |
"epoch": 2.4,
|
177 |
-
"learning_rate": 9.
|
178 |
-
"loss": 0.
|
179 |
-
"step":
|
180 |
},
|
181 |
{
|
182 |
-
"epoch": 2.
|
183 |
-
"learning_rate": 9.
|
184 |
-
"loss": 0.
|
185 |
-
"step":
|
186 |
},
|
187 |
{
|
188 |
-
"epoch": 2.
|
189 |
-
"learning_rate": 9.
|
190 |
-
"loss": 0.
|
191 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
192 |
},
|
193 |
{
|
194 |
"epoch": 2.7,
|
195 |
-
"learning_rate": 9.
|
196 |
-
"loss": 0.
|
197 |
-
"step":
|
198 |
},
|
199 |
{
|
200 |
-
"epoch": 2.
|
201 |
-
"learning_rate": 9.
|
202 |
-
"loss": 0.
|
203 |
-
"step":
|
204 |
},
|
205 |
{
|
206 |
-
"epoch": 2.
|
207 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
208 |
"loss": 0.0043,
|
209 |
-
"step":
|
210 |
},
|
211 |
{
|
212 |
"epoch": 3.0,
|
213 |
-
"eval_loss": 0.
|
214 |
-
"eval_max_distance":
|
215 |
"eval_mean_distance": 0,
|
216 |
-
"eval_runtime":
|
217 |
-
"eval_samples_per_second":
|
218 |
-
"eval_steps_per_second": 1.
|
219 |
-
"step":
|
220 |
},
|
221 |
{
|
222 |
"epoch": 3.0,
|
223 |
-
"learning_rate":
|
224 |
-
"loss": 0.
|
225 |
-
"step":
|
226 |
},
|
227 |
{
|
228 |
-
"epoch": 3.
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 0.
|
231 |
-
"step":
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 3.
|
235 |
-
"learning_rate":
|
236 |
"loss": 0.0036,
|
237 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
238 |
},
|
239 |
{
|
240 |
"epoch": 3.3,
|
241 |
-
"learning_rate":
|
242 |
-
"loss": 0.
|
243 |
-
"step":
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 3.
|
247 |
-
"learning_rate":
|
248 |
-
"loss": 0.
|
249 |
-
"step":
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 3.
|
253 |
-
"learning_rate":
|
254 |
-
"loss": 0.
|
255 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
256 |
},
|
257 |
{
|
258 |
"epoch": 3.6,
|
259 |
-
"learning_rate":
|
260 |
-
"loss": 0.
|
261 |
-
"step":
|
262 |
},
|
263 |
{
|
264 |
-
"epoch": 3.
|
265 |
-
"learning_rate":
|
266 |
-
"loss": 0.
|
267 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
268 |
},
|
269 |
{
|
270 |
-
"epoch": 3.
|
271 |
-
"learning_rate": 8.
|
272 |
"loss": 0.0039,
|
273 |
-
"step":
|
274 |
},
|
275 |
{
|
276 |
"epoch": 3.9,
|
277 |
-
"learning_rate": 8.
|
278 |
-
"loss": 0.
|
279 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
280 |
},
|
281 |
{
|
282 |
"epoch": 4.0,
|
283 |
-
"eval_loss": 0.
|
284 |
-
"eval_max_distance":
|
285 |
"eval_mean_distance": 0,
|
286 |
-
"eval_runtime":
|
287 |
-
"eval_samples_per_second":
|
288 |
-
"eval_steps_per_second": 1.
|
289 |
-
"step":
|
290 |
},
|
291 |
{
|
292 |
-
"epoch": 4.
|
293 |
-
"learning_rate": 8.
|
294 |
-
"loss": 0.
|
295 |
-
"step":
|
296 |
},
|
297 |
{
|
298 |
-
"epoch": 4.
|
299 |
-
"learning_rate": 8.
|
300 |
-
"loss": 0.
|
301 |
-
"step":
|
302 |
},
|
303 |
{
|
304 |
"epoch": 4.2,
|
305 |
-
"learning_rate":
|
306 |
-
"loss": 0.
|
307 |
-
"step":
|
308 |
},
|
309 |
{
|
310 |
-
"epoch": 4.
|
311 |
-
"learning_rate":
|
312 |
"loss": 0.0034,
|
313 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
314 |
},
|
315 |
{
|
316 |
-
"epoch": 4.
|
317 |
-
"learning_rate":
|
318 |
"loss": 0.0034,
|
319 |
-
"step":
|
320 |
},
|
321 |
{
|
322 |
"epoch": 4.5,
|
323 |
-
"learning_rate":
|
324 |
-
"loss": 0.
|
325 |
-
"step":
|
326 |
},
|
327 |
{
|
328 |
-
"epoch": 4.
|
329 |
-
"learning_rate":
|
330 |
"loss": 0.0035,
|
331 |
-
"step":
|
332 |
},
|
333 |
{
|
334 |
-
"epoch": 4.
|
335 |
-
"learning_rate":
|
336 |
-
"loss": 0.
|
337 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
338 |
},
|
339 |
{
|
340 |
"epoch": 4.8,
|
341 |
-
"learning_rate":
|
342 |
-
"loss": 0.
|
343 |
-
"step":
|
344 |
},
|
345 |
{
|
346 |
-
"epoch": 4.
|
347 |
-
"learning_rate":
|
348 |
-
"loss": 0.
|
349 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
350 |
},
|
351 |
{
|
352 |
"epoch": 5.0,
|
353 |
-
"eval_loss": 0.
|
354 |
-
"eval_max_distance":
|
355 |
"eval_mean_distance": 0,
|
356 |
-
"eval_runtime":
|
357 |
-
"eval_samples_per_second":
|
358 |
-
"eval_steps_per_second": 1.
|
359 |
-
"step":
|
360 |
},
|
361 |
{
|
362 |
-
"epoch": 5.
|
363 |
-
"learning_rate":
|
364 |
-
"loss": 0.
|
365 |
-
"step":
|
366 |
},
|
367 |
{
|
368 |
"epoch": 5.1,
|
369 |
-
"learning_rate":
|
370 |
-
"loss": 0.
|
371 |
-
"step":
|
372 |
},
|
373 |
{
|
374 |
-
"epoch": 5.
|
375 |
-
"learning_rate":
|
376 |
-
"loss": 0.
|
377 |
-
"step":
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 5.
|
381 |
-
"learning_rate":
|
382 |
-
"loss": 0.
|
383 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
384 |
},
|
385 |
{
|
386 |
"epoch": 5.4,
|
387 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
388 |
"loss": 0.0031,
|
389 |
-
"step":
|
390 |
},
|
391 |
{
|
392 |
-
"epoch": 5.
|
393 |
-
"learning_rate":
|
394 |
"loss": 0.0032,
|
395 |
-
"step":
|
396 |
},
|
397 |
{
|
398 |
-
"epoch": 5.
|
399 |
-
"learning_rate":
|
400 |
-
"loss": 0.
|
401 |
-
"step":
|
402 |
},
|
403 |
{
|
404 |
"epoch": 5.7,
|
405 |
-
"learning_rate":
|
406 |
"loss": 0.0032,
|
407 |
-
"step":
|
408 |
},
|
409 |
{
|
410 |
-
"epoch": 5.
|
411 |
-
"learning_rate":
|
412 |
"loss": 0.0031,
|
413 |
-
"step":
|
414 |
},
|
415 |
{
|
416 |
-
"epoch": 5.
|
417 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
418 |
"loss": 0.0032,
|
419 |
-
"step":
|
420 |
},
|
421 |
{
|
422 |
"epoch": 6.0,
|
423 |
-
"eval_loss": 0.
|
424 |
-
"eval_max_distance":
|
425 |
"eval_mean_distance": 0,
|
426 |
-
"eval_runtime":
|
427 |
-
"eval_samples_per_second":
|
428 |
-
"eval_steps_per_second": 1.
|
429 |
-
"step":
|
430 |
},
|
431 |
{
|
432 |
"epoch": 6.0,
|
433 |
-
"learning_rate":
|
434 |
-
"loss": 0.
|
435 |
-
"step":
|
436 |
},
|
437 |
{
|
438 |
-
"epoch": 6.
|
439 |
-
"learning_rate":
|
440 |
-
"loss": 0.
|
441 |
-
"step":
|
442 |
},
|
443 |
{
|
444 |
-
"epoch": 6.
|
445 |
-
"learning_rate":
|
446 |
"loss": 0.0026,
|
447 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
448 |
},
|
449 |
{
|
450 |
"epoch": 6.3,
|
451 |
-
"learning_rate":
|
452 |
-
"loss": 0.
|
453 |
-
"step":
|
454 |
},
|
455 |
{
|
456 |
-
"epoch": 6.
|
457 |
-
"learning_rate":
|
458 |
"loss": 0.0029,
|
459 |
-
"step":
|
460 |
},
|
461 |
{
|
462 |
-
"epoch": 6.
|
463 |
-
"learning_rate":
|
464 |
-
"loss": 0.
|
465 |
-
"step":
|
466 |
},
|
467 |
{
|
468 |
-
"epoch": 6.
|
469 |
-
"learning_rate":
|
470 |
"loss": 0.0028,
|
471 |
-
"step":
|
472 |
},
|
473 |
{
|
474 |
-
"epoch": 6.
|
475 |
-
"learning_rate":
|
476 |
-
"loss": 0.
|
477 |
-
"step":
|
478 |
},
|
479 |
{
|
480 |
-
"epoch": 6.
|
481 |
-
"learning_rate":
|
482 |
-
"loss": 0.
|
483 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
484 |
},
|
485 |
{
|
486 |
"epoch": 6.9,
|
487 |
-
"learning_rate":
|
488 |
-
"loss": 0.
|
489 |
-
"step":
|
490 |
},
|
491 |
{
|
492 |
-
"epoch":
|
493 |
-
"
|
494 |
-
"
|
495 |
-
"
|
496 |
-
"eval_runtime": 12.1827,
|
497 |
-
"eval_samples_per_second": 20.521,
|
498 |
-
"eval_steps_per_second": 1.395,
|
499 |
-
"step": 98308
|
500 |
},
|
501 |
{
|
502 |
"epoch": 7.0,
|
503 |
-
"
|
504 |
-
"
|
505 |
-
"
|
|
|
|
|
|
|
|
|
506 |
},
|
507 |
{
|
508 |
-
"epoch": 7.
|
509 |
-
"learning_rate":
|
510 |
"loss": 0.0027,
|
511 |
-
"step":
|
512 |
},
|
513 |
{
|
514 |
-
"epoch": 7.
|
515 |
-
"learning_rate":
|
516 |
"loss": 0.0025,
|
517 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
518 |
},
|
519 |
{
|
520 |
-
"epoch": 7.
|
521 |
-
"learning_rate":
|
|
|
|
|
|
|
|
|
|
|
|
|
522 |
"loss": 0.0025,
|
523 |
-
"step":
|
524 |
},
|
525 |
{
|
526 |
-
"epoch": 7.
|
527 |
-
"learning_rate":
|
528 |
-
"loss": 0.
|
529 |
-
"step":
|
530 |
},
|
531 |
{
|
532 |
"epoch": 7.5,
|
533 |
-
"learning_rate":
|
534 |
"loss": 0.0026,
|
535 |
-
"step":
|
536 |
},
|
537 |
{
|
538 |
-
"epoch": 7.
|
539 |
-
"learning_rate":
|
540 |
"loss": 0.0026,
|
541 |
-
"step":
|
542 |
},
|
543 |
{
|
544 |
-
"epoch": 7.
|
545 |
-
"learning_rate":
|
546 |
"loss": 0.0026,
|
547 |
-
"step":
|
548 |
},
|
549 |
{
|
550 |
-
"epoch": 7.
|
551 |
-
"learning_rate":
|
552 |
"loss": 0.0025,
|
553 |
-
"step":
|
554 |
},
|
555 |
{
|
556 |
-
"epoch": 7.
|
557 |
-
"learning_rate":
|
558 |
"loss": 0.0027,
|
559 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
560 |
},
|
561 |
{
|
562 |
"epoch": 8.0,
|
563 |
-
"eval_loss": 0.
|
564 |
-
"eval_max_distance":
|
565 |
"eval_mean_distance": 0,
|
566 |
-
"eval_runtime":
|
567 |
-
"eval_samples_per_second":
|
568 |
-
"eval_steps_per_second": 1.
|
569 |
-
"step":
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 8.
|
573 |
-
"learning_rate":
|
574 |
-
"loss": 0.
|
575 |
-
"step":
|
576 |
},
|
577 |
{
|
578 |
"epoch": 8.1,
|
579 |
-
"learning_rate":
|
580 |
"loss": 0.0023,
|
581 |
-
"step":
|
582 |
},
|
583 |
{
|
584 |
-
"epoch": 8.
|
585 |
-
"learning_rate":
|
586 |
-
"loss": 0.
|
587 |
-
"step":
|
588 |
},
|
589 |
{
|
590 |
-
"epoch": 8.
|
591 |
-
"learning_rate":
|
592 |
-
"loss": 0.
|
593 |
-
"step":
|
594 |
},
|
595 |
{
|
596 |
-
"epoch": 8.
|
597 |
-
"learning_rate":
|
598 |
-
"loss": 0.
|
599 |
-
"step":
|
600 |
},
|
601 |
{
|
602 |
-
"epoch": 8.
|
603 |
-
"learning_rate":
|
604 |
"loss": 0.0024,
|
605 |
-
"step":
|
606 |
},
|
607 |
{
|
608 |
-
"epoch": 8.
|
609 |
-
"learning_rate":
|
610 |
"loss": 0.0025,
|
611 |
-
"step":
|
612 |
},
|
613 |
{
|
614 |
-
"epoch": 8.
|
615 |
-
"learning_rate":
|
616 |
"loss": 0.0024,
|
617 |
-
"step":
|
618 |
},
|
619 |
{
|
620 |
-
"epoch": 8.
|
621 |
-
"learning_rate":
|
622 |
-
"loss": 0.
|
623 |
-
"step":
|
624 |
},
|
625 |
{
|
626 |
-
"epoch": 8.
|
627 |
-
"learning_rate":
|
628 |
"loss": 0.0023,
|
629 |
-
"step":
|
630 |
},
|
631 |
{
|
632 |
-
"epoch":
|
633 |
-
"
|
634 |
-
"
|
635 |
-
"
|
636 |
-
"eval_runtime": 12.3201,
|
637 |
-
"eval_samples_per_second": 20.292,
|
638 |
-
"eval_steps_per_second": 1.38,
|
639 |
-
"step": 126396
|
640 |
},
|
641 |
{
|
642 |
-
"epoch":
|
643 |
-
"learning_rate":
|
644 |
"loss": 0.0024,
|
645 |
-
"step":
|
646 |
},
|
647 |
{
|
648 |
-
"epoch":
|
649 |
-
"learning_rate":
|
650 |
-
"loss": 0.
|
651 |
-
"step":
|
652 |
},
|
653 |
{
|
654 |
-
"epoch": 9.
|
655 |
-
"
|
656 |
-
"
|
657 |
-
"
|
|
|
|
|
|
|
|
|
658 |
},
|
659 |
{
|
660 |
-
"epoch": 9.
|
661 |
-
"learning_rate":
|
662 |
-
"loss": 0.
|
663 |
-
"step":
|
664 |
},
|
665 |
{
|
666 |
-
"epoch": 9.
|
667 |
-
"learning_rate":
|
668 |
-
"loss": 0.
|
669 |
-
"step":
|
670 |
},
|
671 |
{
|
672 |
-
"epoch": 9.
|
673 |
-
"learning_rate":
|
674 |
"loss": 0.0022,
|
675 |
-
"step":
|
676 |
-
},
|
677 |
-
{
|
678 |
-
"epoch": 9.6,
|
679 |
-
"learning_rate": 5.775499224659009e-05,
|
680 |
-
"loss": 0.0021,
|
681 |
-
"step": 134880
|
682 |
},
|
683 |
{
|
684 |
-
"epoch": 9.
|
685 |
-
"learning_rate":
|
686 |
-
"loss": 0.
|
687 |
-
"step":
|
688 |
},
|
689 |
{
|
690 |
-
"epoch": 9.
|
691 |
-
"learning_rate":
|
692 |
-
"loss": 0.
|
693 |
-
"step":
|
694 |
},
|
695 |
{
|
696 |
-
"epoch": 9.
|
697 |
-
"learning_rate":
|
698 |
"loss": 0.0023,
|
699 |
-
"step":
|
700 |
},
|
701 |
{
|
702 |
-
"epoch":
|
703 |
-
"
|
704 |
-
"
|
705 |
-
"
|
706 |
-
"eval_runtime": 12.131,
|
707 |
-
"eval_samples_per_second": 20.608,
|
708 |
-
"eval_steps_per_second": 1.401,
|
709 |
-
"step": 140440
|
710 |
},
|
711 |
{
|
712 |
-
"epoch":
|
713 |
-
"learning_rate":
|
714 |
"loss": 0.0023,
|
715 |
-
"step":
|
716 |
},
|
717 |
{
|
718 |
-
"epoch":
|
719 |
-
"learning_rate":
|
720 |
-
"loss": 0.
|
721 |
-
"step":
|
722 |
},
|
723 |
{
|
724 |
-
"epoch":
|
725 |
-
"learning_rate":
|
726 |
-
"loss": 0.
|
727 |
-
"step":
|
728 |
},
|
729 |
{
|
730 |
-
"epoch":
|
731 |
-
"learning_rate":
|
732 |
-
"loss": 0.
|
733 |
-
"step":
|
734 |
},
|
735 |
{
|
736 |
-
"epoch":
|
737 |
-
"learning_rate":
|
738 |
-
"loss": 0.
|
739 |
-
"step":
|
740 |
},
|
741 |
{
|
742 |
-
"epoch":
|
743 |
-
"learning_rate":
|
744 |
-
"loss": 0.
|
745 |
-
"step":
|
746 |
},
|
747 |
{
|
748 |
-
"epoch":
|
749 |
-
"learning_rate":
|
750 |
-
"loss": 0.
|
751 |
-
"step":
|
752 |
},
|
753 |
{
|
754 |
-
"epoch": 10.
|
755 |
-
"
|
756 |
-
"
|
757 |
-
"
|
|
|
|
|
|
|
|
|
758 |
},
|
759 |
{
|
760 |
-
"epoch": 10.
|
761 |
-
"learning_rate":
|
762 |
-
"loss": 0.
|
763 |
-
"step":
|
764 |
},
|
765 |
{
|
766 |
-
"epoch": 10.
|
767 |
-
"learning_rate":
|
768 |
-
"loss": 0.
|
769 |
-
"step":
|
770 |
},
|
771 |
{
|
772 |
-
"epoch":
|
773 |
-
"
|
774 |
-
"
|
775 |
-
"
|
776 |
-
"eval_runtime": 12.2718,
|
777 |
-
"eval_samples_per_second": 20.372,
|
778 |
-
"eval_steps_per_second": 1.385,
|
779 |
-
"step": 154484
|
780 |
},
|
781 |
{
|
782 |
-
"epoch":
|
783 |
-
"learning_rate":
|
784 |
-
"loss": 0.
|
785 |
-
"step":
|
786 |
},
|
787 |
{
|
788 |
-
"epoch":
|
789 |
-
"learning_rate":
|
790 |
-
"loss": 0.
|
791 |
-
"step":
|
792 |
},
|
793 |
{
|
794 |
-
"epoch":
|
795 |
-
"learning_rate":
|
796 |
-
"loss": 0.
|
797 |
-
"step":
|
798 |
},
|
799 |
{
|
800 |
-
"epoch":
|
801 |
-
"learning_rate":
|
802 |
-
"loss": 0.
|
803 |
-
"step":
|
804 |
},
|
805 |
{
|
806 |
-
"epoch":
|
807 |
-
"learning_rate":
|
808 |
-
"loss": 0.
|
809 |
-
"step":
|
810 |
},
|
811 |
{
|
812 |
-
"epoch":
|
813 |
-
"learning_rate":
|
814 |
-
"loss": 0.
|
815 |
-
"step":
|
816 |
},
|
817 |
{
|
818 |
-
"epoch":
|
819 |
-
"learning_rate":
|
820 |
-
"loss": 0.
|
821 |
-
"step":
|
822 |
},
|
823 |
{
|
824 |
-
"epoch":
|
825 |
-
"learning_rate":
|
826 |
-
"loss": 0.
|
827 |
-
"step":
|
828 |
},
|
829 |
{
|
830 |
-
"epoch":
|
831 |
-
"learning_rate":
|
832 |
"loss": 0.002,
|
833 |
-
"step":
|
834 |
},
|
835 |
{
|
836 |
-
"epoch":
|
837 |
-
"learning_rate":
|
838 |
-
"loss": 0.
|
839 |
-
"step":
|
840 |
},
|
841 |
{
|
842 |
-
"epoch":
|
843 |
-
"eval_loss": 0.
|
844 |
-
"eval_max_distance":
|
845 |
"eval_mean_distance": 0,
|
846 |
-
"eval_runtime":
|
847 |
-
"eval_samples_per_second":
|
848 |
-
"eval_steps_per_second": 1.
|
849 |
-
"step":
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 12.01,
|
853 |
-
"learning_rate": 4.4415962530459824e-05,
|
854 |
-
"loss": 0.0017,
|
855 |
-
"step": 168600
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 12.11,
|
859 |
-
"learning_rate": 4.386016962562107e-05,
|
860 |
-
"loss": 0.0016,
|
861 |
-
"step": 170005
|
862 |
-
},
|
863 |
-
{
|
864 |
-
"epoch": 12.21,
|
865 |
-
"learning_rate": 4.33043767207823e-05,
|
866 |
-
"loss": 0.0018,
|
867 |
-
"step": 171410
|
868 |
},
|
869 |
{
|
870 |
-
"epoch":
|
871 |
-
"learning_rate":
|
872 |
-
"loss": 0.
|
873 |
-
"step":
|
874 |
-
},
|
875 |
-
{
|
876 |
-
"epoch": 12.41,
|
877 |
-
"learning_rate": 4.219279091110478e-05,
|
878 |
-
"loss": 0.0018,
|
879 |
-
"step": 174220
|
880 |
-
},
|
881 |
-
{
|
882 |
-
"epoch": 12.51,
|
883 |
-
"learning_rate": 4.163699800626602e-05,
|
884 |
-
"loss": 0.0018,
|
885 |
-
"step": 175625
|
886 |
-
},
|
887 |
-
{
|
888 |
-
"epoch": 12.61,
|
889 |
-
"learning_rate": 4.108120510142726e-05,
|
890 |
-
"loss": 0.0018,
|
891 |
-
"step": 177030
|
892 |
-
},
|
893 |
-
{
|
894 |
-
"epoch": 12.71,
|
895 |
-
"learning_rate": 4.05254121965885e-05,
|
896 |
-
"loss": 0.0016,
|
897 |
-
"step": 178435
|
898 |
},
|
899 |
{
|
900 |
-
"epoch":
|
901 |
-
"learning_rate":
|
902 |
"loss": 0.002,
|
903 |
-
"step":
|
904 |
},
|
905 |
{
|
906 |
-
"epoch":
|
907 |
-
"learning_rate":
|
908 |
-
"loss": 0.
|
909 |
-
"step":
|
910 |
-
},
|
911 |
-
{
|
912 |
-
"epoch": 13.0,
|
913 |
-
"eval_loss": 0.042234089225530624,
|
914 |
-
"eval_max_distance": 6,
|
915 |
-
"eval_mean_distance": 0,
|
916 |
-
"eval_runtime": 13.9619,
|
917 |
-
"eval_samples_per_second": 17.906,
|
918 |
-
"eval_steps_per_second": 1.218,
|
919 |
-
"step": 182572
|
920 |
},
|
921 |
{
|
922 |
-
"epoch":
|
923 |
-
"learning_rate":
|
924 |
-
"loss": 0.
|
925 |
-
"step":
|
926 |
},
|
927 |
{
|
928 |
-
"epoch":
|
929 |
-
"learning_rate":
|
930 |
-
"loss": 0.
|
931 |
-
"step":
|
932 |
},
|
933 |
{
|
934 |
-
"epoch":
|
935 |
-
"learning_rate":
|
936 |
-
"loss": 0.
|
937 |
-
"step":
|
938 |
},
|
939 |
{
|
940 |
-
"epoch":
|
941 |
-
"learning_rate":
|
942 |
-
"loss": 0.
|
943 |
-
"step":
|
944 |
},
|
945 |
{
|
946 |
-
"epoch":
|
947 |
-
"learning_rate":
|
948 |
-
"loss": 0.
|
949 |
-
"step":
|
950 |
},
|
951 |
{
|
952 |
-
"epoch":
|
953 |
-
"learning_rate":
|
954 |
-
"loss": 0.
|
955 |
-
"step":
|
956 |
},
|
957 |
{
|
958 |
-
"epoch":
|
959 |
-
"learning_rate":
|
960 |
-
"loss": 0.
|
961 |
-
"step":
|
962 |
},
|
963 |
{
|
964 |
-
"epoch":
|
965 |
-
"learning_rate":
|
966 |
-
"loss": 0.
|
967 |
-
"step":
|
968 |
},
|
969 |
{
|
970 |
-
"epoch":
|
971 |
-
"learning_rate":
|
972 |
-
"loss": 0.
|
973 |
-
"step":
|
974 |
},
|
975 |
{
|
976 |
-
"epoch":
|
977 |
-
"learning_rate":
|
978 |
-
"loss": 0.
|
979 |
-
"step":
|
980 |
},
|
981 |
{
|
982 |
-
"epoch":
|
983 |
-
"eval_loss": 0.
|
984 |
-
"eval_max_distance":
|
985 |
"eval_mean_distance": 0,
|
986 |
-
"eval_runtime":
|
987 |
-
"eval_samples_per_second":
|
988 |
-
"eval_steps_per_second": 1.
|
989 |
-
"step":
|
990 |
-
},
|
991 |
-
{
|
992 |
-
"epoch": 14.01,
|
993 |
-
"learning_rate": 3.330010443368462e-05,
|
994 |
-
"loss": 0.0016,
|
995 |
-
"step": 196700
|
996 |
},
|
997 |
{
|
998 |
-
"epoch":
|
999 |
-
"learning_rate":
|
1000 |
-
"loss": 0.
|
1001 |
-
"step":
|
1002 |
-
},
|
1003 |
-
{
|
1004 |
-
"epoch": 14.21,
|
1005 |
-
"learning_rate": 3.218851862400709e-05,
|
1006 |
-
"loss": 0.0015,
|
1007 |
-
"step": 199510
|
1008 |
-
},
|
1009 |
-
{
|
1010 |
-
"epoch": 14.31,
|
1011 |
-
"learning_rate": 3.163272571916833e-05,
|
1012 |
-
"loss": 0.0016,
|
1013 |
-
"step": 200915
|
1014 |
-
},
|
1015 |
-
{
|
1016 |
-
"epoch": 14.41,
|
1017 |
-
"learning_rate": 3.107693281432957e-05,
|
1018 |
-
"loss": 0.0016,
|
1019 |
-
"step": 202320
|
1020 |
-
},
|
1021 |
-
{
|
1022 |
-
"epoch": 14.51,
|
1023 |
-
"learning_rate": 3.052113990949081e-05,
|
1024 |
-
"loss": 0.0016,
|
1025 |
-
"step": 203725
|
1026 |
-
},
|
1027 |
-
{
|
1028 |
-
"epoch": 14.61,
|
1029 |
-
"learning_rate": 2.9965347004652052e-05,
|
1030 |
-
"loss": 0.0016,
|
1031 |
-
"step": 205130
|
1032 |
-
},
|
1033 |
-
{
|
1034 |
-
"epoch": 14.71,
|
1035 |
-
"learning_rate": 2.9409554099813286e-05,
|
1036 |
-
"loss": 0.0015,
|
1037 |
-
"step": 206535
|
1038 |
},
|
1039 |
{
|
1040 |
-
"epoch":
|
1041 |
-
"learning_rate": 2.
|
1042 |
-
"loss": 0.
|
1043 |
-
"step":
|
1044 |
},
|
1045 |
{
|
1046 |
-
"epoch":
|
1047 |
-
"learning_rate": 2.
|
1048 |
-
"loss": 0.
|
1049 |
-
"step":
|
1050 |
},
|
1051 |
{
|
1052 |
-
"epoch":
|
1053 |
-
"
|
1054 |
-
"
|
1055 |
-
"
|
1056 |
-
"eval_runtime": 12.1736,
|
1057 |
-
"eval_samples_per_second": 20.536,
|
1058 |
-
"eval_steps_per_second": 1.396,
|
1059 |
-
"step": 210660
|
1060 |
},
|
1061 |
{
|
1062 |
-
"epoch":
|
1063 |
-
"learning_rate":
|
1064 |
-
"loss": 0.
|
1065 |
-
"step":
|
1066 |
},
|
1067 |
{
|
1068 |
-
"epoch":
|
1069 |
-
"learning_rate":
|
1070 |
-
"loss": 0.
|
1071 |
-
"step":
|
1072 |
},
|
1073 |
{
|
1074 |
-
"epoch":
|
1075 |
-
"learning_rate":
|
1076 |
-
"loss": 0.
|
1077 |
-
"step":
|
1078 |
},
|
1079 |
{
|
1080 |
-
"epoch":
|
1081 |
-
"learning_rate":
|
1082 |
-
"loss": 0.
|
1083 |
-
"step":
|
1084 |
},
|
1085 |
{
|
1086 |
-
"epoch":
|
1087 |
-
"learning_rate":
|
1088 |
-
"loss": 0.
|
1089 |
-
"step":
|
1090 |
},
|
1091 |
{
|
1092 |
-
"epoch":
|
1093 |
-
"learning_rate":
|
1094 |
-
"loss": 0.
|
1095 |
-
"step":
|
1096 |
},
|
1097 |
{
|
1098 |
-
"epoch":
|
1099 |
-
"learning_rate":
|
1100 |
-
"loss": 0.
|
1101 |
-
"step":
|
1102 |
},
|
1103 |
{
|
1104 |
-
"epoch":
|
1105 |
-
"learning_rate":
|
1106 |
-
"loss": 0.
|
1107 |
-
"step":
|
1108 |
},
|
1109 |
{
|
1110 |
-
"epoch":
|
1111 |
-
"learning_rate":
|
1112 |
-
"loss": 0.
|
1113 |
-
"step":
|
1114 |
},
|
1115 |
{
|
1116 |
-
"epoch":
|
1117 |
-
"learning_rate":
|
1118 |
-
"loss": 0.
|
1119 |
-
"step":
|
1120 |
},
|
1121 |
{
|
1122 |
-
"epoch":
|
1123 |
-
"eval_loss": 0.
|
1124 |
-
"eval_max_distance":
|
1125 |
"eval_mean_distance": 0,
|
1126 |
-
"eval_runtime":
|
1127 |
-
"eval_samples_per_second":
|
1128 |
-
"eval_steps_per_second": 1.
|
1129 |
-
"step":
|
1130 |
-
},
|
1131 |
-
{
|
1132 |
-
"epoch": 16.01,
|
1133 |
-
"learning_rate": 2.2184246336909397e-05,
|
1134 |
-
"loss": 0.0015,
|
1135 |
-
"step": 224800
|
1136 |
-
},
|
1137 |
-
{
|
1138 |
-
"epoch": 16.11,
|
1139 |
-
"learning_rate": 2.1628453432070635e-05,
|
1140 |
-
"loss": 0.0013,
|
1141 |
-
"step": 226205
|
1142 |
-
},
|
1143 |
-
{
|
1144 |
-
"epoch": 16.21,
|
1145 |
-
"learning_rate": 2.1072660527231873e-05,
|
1146 |
-
"loss": 0.0014,
|
1147 |
-
"step": 227610
|
1148 |
-
},
|
1149 |
-
{
|
1150 |
-
"epoch": 16.31,
|
1151 |
-
"learning_rate": 2.0516867622393114e-05,
|
1152 |
-
"loss": 0.0014,
|
1153 |
-
"step": 229015
|
1154 |
-
},
|
1155 |
-
{
|
1156 |
-
"epoch": 16.41,
|
1157 |
-
"learning_rate": 1.9961074717554352e-05,
|
1158 |
-
"loss": 0.0015,
|
1159 |
-
"step": 230420
|
1160 |
},
|
1161 |
{
|
1162 |
-
"epoch":
|
1163 |
-
"learning_rate": 1.
|
1164 |
-
"loss": 0.
|
1165 |
-
"step":
|
1166 |
-
},
|
1167 |
-
{
|
1168 |
-
"epoch": 16.61,
|
1169 |
-
"learning_rate": 1.8849488907876832e-05,
|
1170 |
-
"loss": 0.0015,
|
1171 |
-
"step": 233230
|
1172 |
-
},
|
1173 |
-
{
|
1174 |
-
"epoch": 16.71,
|
1175 |
-
"learning_rate": 1.8293696003038073e-05,
|
1176 |
-
"loss": 0.0014,
|
1177 |
-
"step": 234635
|
1178 |
-
},
|
1179 |
-
{
|
1180 |
-
"epoch": 16.81,
|
1181 |
-
"learning_rate": 1.773790309819931e-05,
|
1182 |
-
"loss": 0.0013,
|
1183 |
-
"step": 236040
|
1184 |
},
|
1185 |
{
|
1186 |
-
"epoch":
|
1187 |
-
"learning_rate": 1.
|
1188 |
-
"loss": 0.
|
1189 |
-
"step":
|
1190 |
},
|
1191 |
{
|
1192 |
-
"epoch":
|
1193 |
-
"
|
1194 |
-
"
|
1195 |
-
"
|
1196 |
-
"eval_runtime": 12.1336,
|
1197 |
-
"eval_samples_per_second": 20.604,
|
1198 |
-
"eval_steps_per_second": 1.401,
|
1199 |
-
"step": 238748
|
1200 |
},
|
1201 |
{
|
1202 |
-
"epoch":
|
1203 |
-
"learning_rate": 1.
|
1204 |
-
"loss": 0.
|
1205 |
-
"step":
|
1206 |
},
|
1207 |
{
|
1208 |
-
"epoch":
|
1209 |
-
"learning_rate": 1.
|
1210 |
-
"loss": 0.
|
1211 |
-
"step":
|
1212 |
},
|
1213 |
{
|
1214 |
-
"epoch":
|
1215 |
-
"learning_rate": 1.
|
1216 |
-
"loss": 0.
|
1217 |
-
"step":
|
1218 |
},
|
1219 |
{
|
1220 |
-
"epoch":
|
1221 |
-
"learning_rate": 1.
|
1222 |
-
"loss": 0.
|
1223 |
-
"step":
|
1224 |
},
|
1225 |
{
|
1226 |
-
"epoch":
|
1227 |
-
"learning_rate": 1.
|
1228 |
-
"loss": 0.
|
1229 |
-
"step":
|
1230 |
},
|
1231 |
{
|
1232 |
-
"epoch":
|
1233 |
-
"learning_rate":
|
1234 |
-
"loss": 0.
|
1235 |
-
"step":
|
1236 |
},
|
1237 |
{
|
1238 |
-
"epoch":
|
1239 |
-
"learning_rate":
|
1240 |
-
"loss": 0.
|
1241 |
-
"step":
|
1242 |
},
|
1243 |
{
|
1244 |
-
"epoch":
|
1245 |
-
"learning_rate":
|
1246 |
-
"loss": 0.
|
1247 |
-
"step":
|
1248 |
},
|
1249 |
{
|
1250 |
-
"epoch":
|
1251 |
-
"learning_rate":
|
1252 |
-
"loss": 0.
|
1253 |
-
"step":
|
1254 |
},
|
1255 |
{
|
1256 |
-
"epoch":
|
1257 |
-
"learning_rate":
|
1258 |
-
"loss": 0.
|
1259 |
-
"step":
|
1260 |
},
|
1261 |
{
|
1262 |
-
"epoch":
|
1263 |
-
"eval_loss": 0.
|
1264 |
-
"eval_max_distance":
|
1265 |
"eval_mean_distance": 0,
|
1266 |
-
"eval_runtime":
|
1267 |
-
"eval_samples_per_second":
|
1268 |
-
"eval_steps_per_second": 1.
|
1269 |
-
"step":
|
1270 |
-
},
|
1271 |
-
{
|
1272 |
-
"epoch": 18.01,
|
1273 |
-
"learning_rate": 1.1068388240134182e-05,
|
1274 |
-
"loss": 0.0014,
|
1275 |
-
"step": 252900
|
1276 |
-
},
|
1277 |
-
{
|
1278 |
-
"epoch": 18.11,
|
1279 |
-
"learning_rate": 1.051259533529542e-05,
|
1280 |
-
"loss": 0.0014,
|
1281 |
-
"step": 254305
|
1282 |
-
},
|
1283 |
-
{
|
1284 |
-
"epoch": 18.21,
|
1285 |
-
"learning_rate": 9.95680243045666e-06,
|
1286 |
-
"loss": 0.0012,
|
1287 |
-
"step": 255710
|
1288 |
},
|
1289 |
{
|
1290 |
-
"epoch":
|
1291 |
-
"learning_rate":
|
1292 |
-
"loss": 0.
|
1293 |
-
"step":
|
1294 |
-
},
|
1295 |
-
{
|
1296 |
-
"epoch": 18.41,
|
1297 |
-
"learning_rate": 8.84521662077914e-06,
|
1298 |
-
"loss": 0.0014,
|
1299 |
-
"step": 258520
|
1300 |
-
},
|
1301 |
-
{
|
1302 |
-
"epoch": 18.51,
|
1303 |
-
"learning_rate": 8.289423715940379e-06,
|
1304 |
-
"loss": 0.0012,
|
1305 |
-
"step": 259925
|
1306 |
-
},
|
1307 |
-
{
|
1308 |
-
"epoch": 18.61,
|
1309 |
-
"learning_rate": 7.733630811101619e-06,
|
1310 |
-
"loss": 0.0013,
|
1311 |
-
"step": 261330
|
1312 |
-
},
|
1313 |
-
{
|
1314 |
-
"epoch": 18.71,
|
1315 |
-
"learning_rate": 7.1778379062628565e-06,
|
1316 |
-
"loss": 0.0014,
|
1317 |
-
"step": 262735
|
1318 |
},
|
1319 |
{
|
1320 |
-
"epoch":
|
1321 |
-
"learning_rate": 6.
|
1322 |
-
"loss": 0.
|
1323 |
-
"step":
|
1324 |
},
|
1325 |
{
|
1326 |
-
"epoch": 18
|
1327 |
-
"learning_rate": 6.
|
1328 |
-
"loss": 0.
|
1329 |
-
"step":
|
1330 |
},
|
1331 |
{
|
1332 |
-
"epoch":
|
1333 |
-
"
|
1334 |
-
"
|
1335 |
-
"
|
1336 |
-
"eval_runtime": 12.0757,
|
1337 |
-
"eval_samples_per_second": 20.703,
|
1338 |
-
"eval_steps_per_second": 1.408,
|
1339 |
-
"step": 266836
|
1340 |
},
|
1341 |
{
|
1342 |
-
"epoch":
|
1343 |
-
"learning_rate":
|
1344 |
-
"loss": 0.
|
1345 |
-
"step":
|
1346 |
},
|
1347 |
{
|
1348 |
-
"epoch":
|
1349 |
-
"learning_rate": 4.
|
1350 |
-
"loss": 0.
|
1351 |
-
"step":
|
1352 |
},
|
1353 |
{
|
1354 |
-
"epoch":
|
1355 |
-
"learning_rate":
|
1356 |
-
"loss": 0.
|
1357 |
-
"step":
|
1358 |
},
|
1359 |
{
|
1360 |
-
"epoch":
|
1361 |
-
"learning_rate": 3.
|
1362 |
-
"loss": 0.
|
1363 |
-
"step":
|
1364 |
},
|
1365 |
{
|
1366 |
-
"epoch":
|
1367 |
-
"learning_rate":
|
1368 |
-
"loss": 0.
|
1369 |
-
"step":
|
1370 |
},
|
1371 |
{
|
1372 |
-
"epoch":
|
1373 |
-
"learning_rate": 2.
|
1374 |
-
"loss": 0.
|
1375 |
-
"step":
|
1376 |
},
|
1377 |
{
|
1378 |
-
"epoch":
|
1379 |
-
"learning_rate":
|
1380 |
-
"loss": 0.
|
1381 |
-
"step":
|
1382 |
},
|
1383 |
{
|
1384 |
-
"epoch":
|
1385 |
-
"learning_rate": 1.
|
1386 |
-
"loss": 0.
|
1387 |
-
"step":
|
1388 |
},
|
1389 |
{
|
1390 |
-
"epoch":
|
1391 |
-
"learning_rate":
|
1392 |
-
"loss": 0.
|
1393 |
-
"step":
|
1394 |
},
|
1395 |
{
|
1396 |
-
"epoch":
|
1397 |
-
"
|
1398 |
-
"
|
1399 |
-
"
|
|
|
|
|
|
|
|
|
1400 |
},
|
1401 |
{
|
1402 |
-
"epoch":
|
1403 |
-
"
|
1404 |
-
"
|
1405 |
-
"
|
1406 |
-
"
|
1407 |
-
"
|
1408 |
-
"
|
1409 |
-
"step": 280880
|
1410 |
-
},
|
1411 |
-
{
|
1412 |
-
"epoch": 20.0,
|
1413 |
-
"step": 280880,
|
1414 |
-
"total_flos": 7.269950341627085e+16,
|
1415 |
-
"train_loss": 0.0021448437322240947,
|
1416 |
-
"train_runtime": 20054.4611,
|
1417 |
-
"train_samples_per_second": 210.084,
|
1418 |
-
"train_steps_per_second": 14.006
|
1419 |
}
|
1420 |
],
|
1421 |
-
"logging_steps":
|
1422 |
-
"max_steps":
|
1423 |
-
"num_train_epochs":
|
1424 |
-
"save_steps":
|
1425 |
-
"total_flos":
|
1426 |
"trial_name": null,
|
1427 |
"trial_params": null
|
1428 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 343740,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.909175539652063e-09,
|
14 |
+
"loss": 0.0085,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.08,
|
19 |
+
"learning_rate": 5.000872752661896e-06,
|
20 |
+
"loss": 0.0066,
|
21 |
+
"step": 1719
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.15,
|
25 |
+
"learning_rate": 1.0001745505323792e-05,
|
26 |
+
"loss": 0.0061,
|
27 |
+
"step": 3438
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.23,
|
31 |
+
"learning_rate": 1.5002618257985687e-05,
|
32 |
+
"loss": 0.0059,
|
33 |
+
"step": 5157
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.3,
|
37 |
+
"learning_rate": 2.0003491010647585e-05,
|
38 |
+
"loss": 0.0056,
|
39 |
+
"step": 6876
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.38,
|
43 |
+
"learning_rate": 2.500436376330948e-05,
|
44 |
"loss": 0.0052,
|
45 |
+
"step": 8595
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.45,
|
49 |
+
"learning_rate": 3.0005236515971374e-05,
|
50 |
+
"loss": 0.0052,
|
51 |
+
"step": 10314
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.53,
|
55 |
+
"learning_rate": 3.500610926863327e-05,
|
56 |
+
"loss": 0.0049,
|
57 |
+
"step": 12033
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.6,
|
61 |
+
"learning_rate": 4.000698202129517e-05,
|
62 |
+
"loss": 0.0049,
|
63 |
+
"step": 13752
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.68,
|
67 |
+
"learning_rate": 4.5007854773957064e-05,
|
68 |
+
"loss": 0.0052,
|
69 |
+
"step": 15471
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.75,
|
73 |
+
"learning_rate": 5.000872752661896e-05,
|
74 |
"loss": 0.0051,
|
75 |
+
"step": 17190
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.83,
|
79 |
+
"learning_rate": 5.500960027928086e-05,
|
80 |
+
"loss": 0.0052,
|
81 |
+
"step": 18909
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.9,
|
85 |
+
"learning_rate": 6.001047303194275e-05,
|
86 |
+
"loss": 0.0048,
|
87 |
+
"step": 20628
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.98,
|
91 |
+
"learning_rate": 6.501134578460465e-05,
|
92 |
"loss": 0.0052,
|
93 |
+
"step": 22347
|
94 |
},
|
95 |
{
|
96 |
"epoch": 1.0,
|
97 |
+
"eval_loss": 0.027106985449790955,
|
98 |
"eval_max_distance": 9,
|
99 |
"eval_mean_distance": 0,
|
100 |
+
"eval_runtime": 14.4629,
|
101 |
+
"eval_samples_per_second": 17.355,
|
102 |
+
"eval_steps_per_second": 1.175,
|
103 |
+
"step": 22916
|
104 |
},
|
105 |
{
|
106 |
+
"epoch": 1.05,
|
107 |
+
"learning_rate": 7.001221853726654e-05,
|
108 |
"loss": 0.0045,
|
109 |
+
"step": 24066
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 1.13,
|
113 |
+
"learning_rate": 7.501309128992844e-05,
|
114 |
+
"loss": 0.0044,
|
115 |
+
"step": 25785
|
116 |
},
|
117 |
{
|
118 |
"epoch": 1.2,
|
119 |
+
"learning_rate": 8.001396404259034e-05,
|
120 |
+
"loss": 0.0048,
|
121 |
+
"step": 27504
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 1.28,
|
125 |
+
"learning_rate": 8.501483679525223e-05,
|
126 |
"loss": 0.0045,
|
127 |
+
"step": 29223
|
128 |
},
|
129 |
{
|
130 |
+
"epoch": 1.35,
|
131 |
+
"learning_rate": 9.001570954791413e-05,
|
132 |
+
"loss": 0.0044,
|
133 |
+
"step": 30942
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1.43,
|
137 |
+
"learning_rate": 9.501658230057602e-05,
|
138 |
+
"loss": 0.0047,
|
139 |
+
"step": 32661
|
140 |
},
|
141 |
{
|
142 |
"epoch": 1.5,
|
143 |
+
"learning_rate": 9.999806054964024e-05,
|
144 |
+
"loss": 0.005,
|
145 |
+
"step": 34380
|
146 |
},
|
147 |
{
|
148 |
+
"epoch": 1.58,
|
149 |
+
"learning_rate": 9.944240802156669e-05,
|
150 |
+
"loss": 0.0049,
|
151 |
+
"step": 36099
|
152 |
},
|
153 |
{
|
154 |
+
"epoch": 1.65,
|
155 |
+
"learning_rate": 9.888675549349314e-05,
|
156 |
+
"loss": 0.0053,
|
157 |
+
"step": 37818
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.73,
|
161 |
+
"learning_rate": 9.83311029654196e-05,
|
162 |
+
"loss": 0.0047,
|
163 |
+
"step": 39537
|
164 |
},
|
165 |
{
|
166 |
"epoch": 1.8,
|
167 |
+
"learning_rate": 9.777545043734606e-05,
|
168 |
+
"loss": 0.005,
|
169 |
+
"step": 41256
|
170 |
},
|
171 |
{
|
172 |
+
"epoch": 1.88,
|
173 |
+
"learning_rate": 9.721979790927251e-05,
|
174 |
+
"loss": 0.0048,
|
175 |
+
"step": 42975
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 1.95,
|
179 |
+
"learning_rate": 9.666414538119898e-05,
|
180 |
+
"loss": 0.0051,
|
181 |
+
"step": 44694
|
182 |
},
|
183 |
{
|
184 |
"epoch": 2.0,
|
185 |
+
"eval_loss": 0.026126669719815254,
|
186 |
+
"eval_max_distance": 8,
|
187 |
"eval_mean_distance": 0,
|
188 |
+
"eval_runtime": 13.5883,
|
189 |
+
"eval_samples_per_second": 18.472,
|
190 |
+
"eval_steps_per_second": 1.251,
|
191 |
+
"step": 45832
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 2.03,
|
195 |
+
"learning_rate": 9.610849285312543e-05,
|
196 |
+
"loss": 0.0047,
|
197 |
+
"step": 46413
|
198 |
},
|
199 |
{
|
200 |
"epoch": 2.1,
|
201 |
+
"learning_rate": 9.555284032505189e-05,
|
202 |
+
"loss": 0.004,
|
203 |
+
"step": 48132
|
204 |
},
|
205 |
{
|
206 |
+
"epoch": 2.18,
|
207 |
+
"learning_rate": 9.499718779697834e-05,
|
208 |
+
"loss": 0.004,
|
209 |
+
"step": 49851
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 2.25,
|
213 |
+
"learning_rate": 9.44415352689048e-05,
|
214 |
+
"loss": 0.0042,
|
215 |
+
"step": 51570
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 2.33,
|
219 |
+
"learning_rate": 9.388588274083125e-05,
|
220 |
+
"loss": 0.004,
|
221 |
+
"step": 53289
|
222 |
},
|
223 |
{
|
224 |
"epoch": 2.4,
|
225 |
+
"learning_rate": 9.333023021275771e-05,
|
226 |
+
"loss": 0.0043,
|
227 |
+
"step": 55008
|
228 |
},
|
229 |
{
|
230 |
+
"epoch": 2.48,
|
231 |
+
"learning_rate": 9.277457768468416e-05,
|
232 |
+
"loss": 0.0042,
|
233 |
+
"step": 56727
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 2.55,
|
237 |
+
"learning_rate": 9.221892515661063e-05,
|
238 |
+
"loss": 0.004,
|
239 |
+
"step": 58446
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.63,
|
243 |
+
"learning_rate": 9.166327262853708e-05,
|
244 |
+
"loss": 0.0045,
|
245 |
+
"step": 60165
|
246 |
},
|
247 |
{
|
248 |
"epoch": 2.7,
|
249 |
+
"learning_rate": 9.110762010046352e-05,
|
250 |
+
"loss": 0.0044,
|
251 |
+
"step": 61884
|
252 |
},
|
253 |
{
|
254 |
+
"epoch": 2.78,
|
255 |
+
"learning_rate": 9.055196757238999e-05,
|
256 |
+
"loss": 0.0044,
|
257 |
+
"step": 63603
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 2.85,
|
261 |
+
"learning_rate": 8.999631504431645e-05,
|
262 |
+
"loss": 0.0044,
|
263 |
+
"step": 65322
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.93,
|
267 |
+
"learning_rate": 8.94406625162429e-05,
|
268 |
"loss": 0.0043,
|
269 |
+
"step": 67041
|
270 |
},
|
271 |
{
|
272 |
"epoch": 3.0,
|
273 |
+
"eval_loss": 0.03130079433321953,
|
274 |
+
"eval_max_distance": 8,
|
275 |
"eval_mean_distance": 0,
|
276 |
+
"eval_runtime": 13.4308,
|
277 |
+
"eval_samples_per_second": 18.688,
|
278 |
+
"eval_steps_per_second": 1.266,
|
279 |
+
"step": 68748
|
280 |
},
|
281 |
{
|
282 |
"epoch": 3.0,
|
283 |
+
"learning_rate": 8.888500998816935e-05,
|
284 |
+
"loss": 0.0046,
|
285 |
+
"step": 68760
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 3.08,
|
289 |
+
"learning_rate": 8.832935746009581e-05,
|
290 |
+
"loss": 0.0036,
|
291 |
+
"step": 70479
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 3.15,
|
295 |
+
"learning_rate": 8.777370493202228e-05,
|
296 |
"loss": 0.0036,
|
297 |
+
"step": 72198
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.23,
|
301 |
+
"learning_rate": 8.721805240394872e-05,
|
302 |
+
"loss": 0.0038,
|
303 |
+
"step": 73917
|
304 |
},
|
305 |
{
|
306 |
"epoch": 3.3,
|
307 |
+
"learning_rate": 8.666239987587517e-05,
|
308 |
+
"loss": 0.0036,
|
309 |
+
"step": 75636
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 3.38,
|
313 |
+
"learning_rate": 8.610674734780164e-05,
|
314 |
+
"loss": 0.0038,
|
315 |
+
"step": 77355
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 3.45,
|
319 |
+
"learning_rate": 8.55510948197281e-05,
|
320 |
+
"loss": 0.0038,
|
321 |
+
"step": 79074
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 3.53,
|
325 |
+
"learning_rate": 8.499544229165455e-05,
|
326 |
+
"loss": 0.0038,
|
327 |
+
"step": 80793
|
328 |
},
|
329 |
{
|
330 |
"epoch": 3.6,
|
331 |
+
"learning_rate": 8.4439789763581e-05,
|
332 |
+
"loss": 0.004,
|
333 |
+
"step": 82512
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 3.68,
|
337 |
+
"learning_rate": 8.388413723550746e-05,
|
338 |
+
"loss": 0.0037,
|
339 |
+
"step": 84231
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 3.75,
|
343 |
+
"learning_rate": 8.332848470743392e-05,
|
344 |
+
"loss": 0.0038,
|
345 |
+
"step": 85950
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 3.83,
|
349 |
+
"learning_rate": 8.277283217936037e-05,
|
350 |
"loss": 0.0039,
|
351 |
+
"step": 87669
|
352 |
},
|
353 |
{
|
354 |
"epoch": 3.9,
|
355 |
+
"learning_rate": 8.221717965128682e-05,
|
356 |
+
"loss": 0.0039,
|
357 |
+
"step": 89388
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 3.98,
|
361 |
+
"learning_rate": 8.166152712321329e-05,
|
362 |
+
"loss": 0.0041,
|
363 |
+
"step": 91107
|
364 |
},
|
365 |
{
|
366 |
"epoch": 4.0,
|
367 |
+
"eval_loss": 0.02780107595026493,
|
368 |
+
"eval_max_distance": 10,
|
369 |
"eval_mean_distance": 0,
|
370 |
+
"eval_runtime": 13.351,
|
371 |
+
"eval_samples_per_second": 18.8,
|
372 |
+
"eval_steps_per_second": 1.273,
|
373 |
+
"step": 91664
|
374 |
},
|
375 |
{
|
376 |
+
"epoch": 4.05,
|
377 |
+
"learning_rate": 8.110587459513974e-05,
|
378 |
+
"loss": 0.0037,
|
379 |
+
"step": 92826
|
380 |
},
|
381 |
{
|
382 |
+
"epoch": 4.13,
|
383 |
+
"learning_rate": 8.05502220670662e-05,
|
384 |
+
"loss": 0.0032,
|
385 |
+
"step": 94545
|
386 |
},
|
387 |
{
|
388 |
"epoch": 4.2,
|
389 |
+
"learning_rate": 7.999456953899266e-05,
|
390 |
+
"loss": 0.0034,
|
391 |
+
"step": 96264
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 4.28,
|
395 |
+
"learning_rate": 7.943891701091911e-05,
|
396 |
"loss": 0.0034,
|
397 |
+
"step": 97983
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 4.35,
|
401 |
+
"learning_rate": 7.888326448284556e-05,
|
402 |
+
"loss": 0.0035,
|
403 |
+
"step": 99702
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 4.43,
|
407 |
+
"learning_rate": 7.832761195477202e-05,
|
408 |
"loss": 0.0034,
|
409 |
+
"step": 101421
|
410 |
},
|
411 |
{
|
412 |
"epoch": 4.5,
|
413 |
+
"learning_rate": 7.777195942669849e-05,
|
414 |
+
"loss": 0.0036,
|
415 |
+
"step": 103140
|
416 |
},
|
417 |
{
|
418 |
+
"epoch": 4.58,
|
419 |
+
"learning_rate": 7.721630689862494e-05,
|
420 |
"loss": 0.0035,
|
421 |
+
"step": 104859
|
422 |
},
|
423 |
{
|
424 |
+
"epoch": 4.65,
|
425 |
+
"learning_rate": 7.666065437055139e-05,
|
426 |
+
"loss": 0.0034,
|
427 |
+
"step": 106578
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 4.73,
|
431 |
+
"learning_rate": 7.610500184247783e-05,
|
432 |
+
"loss": 0.0034,
|
433 |
+
"step": 108297
|
434 |
},
|
435 |
{
|
436 |
"epoch": 4.8,
|
437 |
+
"learning_rate": 7.554934931440431e-05,
|
438 |
+
"loss": 0.0036,
|
439 |
+
"step": 110016
|
440 |
},
|
441 |
{
|
442 |
+
"epoch": 4.88,
|
443 |
+
"learning_rate": 7.499369678633076e-05,
|
444 |
+
"loss": 0.0034,
|
445 |
+
"step": 111735
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 4.95,
|
449 |
+
"learning_rate": 7.443804425825721e-05,
|
450 |
+
"loss": 0.0037,
|
451 |
+
"step": 113454
|
452 |
},
|
453 |
{
|
454 |
"epoch": 5.0,
|
455 |
+
"eval_loss": 0.028013188391923904,
|
456 |
+
"eval_max_distance": 8,
|
457 |
"eval_mean_distance": 0,
|
458 |
+
"eval_runtime": 13.4584,
|
459 |
+
"eval_samples_per_second": 18.65,
|
460 |
+
"eval_steps_per_second": 1.263,
|
461 |
+
"step": 114580
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 5.03,
|
465 |
+
"learning_rate": 7.388239173018366e-05,
|
466 |
+
"loss": 0.0033,
|
467 |
+
"step": 115173
|
468 |
},
|
469 |
{
|
470 |
"epoch": 5.1,
|
471 |
+
"learning_rate": 7.332673920211012e-05,
|
472 |
+
"loss": 0.0031,
|
473 |
+
"step": 116892
|
474 |
},
|
475 |
{
|
476 |
+
"epoch": 5.18,
|
477 |
+
"learning_rate": 7.277108667403659e-05,
|
478 |
+
"loss": 0.0031,
|
479 |
+
"step": 118611
|
480 |
},
|
481 |
{
|
482 |
+
"epoch": 5.25,
|
483 |
+
"learning_rate": 7.221543414596303e-05,
|
484 |
+
"loss": 0.0032,
|
485 |
+
"step": 120330
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 5.33,
|
489 |
+
"learning_rate": 7.16597816178895e-05,
|
490 |
+
"loss": 0.0031,
|
491 |
+
"step": 122049
|
492 |
},
|
493 |
{
|
494 |
"epoch": 5.4,
|
495 |
+
"learning_rate": 7.110412908981595e-05,
|
496 |
+
"loss": 0.0032,
|
497 |
+
"step": 123768
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 5.48,
|
501 |
+
"learning_rate": 7.054847656174241e-05,
|
502 |
"loss": 0.0031,
|
503 |
+
"step": 125487
|
504 |
},
|
505 |
{
|
506 |
+
"epoch": 5.55,
|
507 |
+
"learning_rate": 6.999282403366886e-05,
|
508 |
"loss": 0.0032,
|
509 |
+
"step": 127206
|
510 |
},
|
511 |
{
|
512 |
+
"epoch": 5.63,
|
513 |
+
"learning_rate": 6.943717150559532e-05,
|
514 |
+
"loss": 0.0032,
|
515 |
+
"step": 128925
|
516 |
},
|
517 |
{
|
518 |
"epoch": 5.7,
|
519 |
+
"learning_rate": 6.888151897752177e-05,
|
520 |
"loss": 0.0032,
|
521 |
+
"step": 130644
|
522 |
},
|
523 |
{
|
524 |
+
"epoch": 5.78,
|
525 |
+
"learning_rate": 6.832586644944823e-05,
|
526 |
"loss": 0.0031,
|
527 |
+
"step": 132363
|
528 |
},
|
529 |
{
|
530 |
+
"epoch": 5.85,
|
531 |
+
"learning_rate": 6.777021392137468e-05,
|
532 |
+
"loss": 0.0031,
|
533 |
+
"step": 134082
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 5.93,
|
537 |
+
"learning_rate": 6.721456139330115e-05,
|
538 |
"loss": 0.0032,
|
539 |
+
"step": 135801
|
540 |
},
|
541 |
{
|
542 |
"epoch": 6.0,
|
543 |
+
"eval_loss": 0.028835317119956017,
|
544 |
+
"eval_max_distance": 8,
|
545 |
"eval_mean_distance": 0,
|
546 |
+
"eval_runtime": 13.4137,
|
547 |
+
"eval_samples_per_second": 18.712,
|
548 |
+
"eval_steps_per_second": 1.267,
|
549 |
+
"step": 137496
|
550 |
},
|
551 |
{
|
552 |
"epoch": 6.0,
|
553 |
+
"learning_rate": 6.66589088652276e-05,
|
554 |
+
"loss": 0.0033,
|
555 |
+
"step": 137520
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 6.08,
|
559 |
+
"learning_rate": 6.610325633715405e-05,
|
560 |
+
"loss": 0.0028,
|
561 |
+
"step": 139239
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 6.15,
|
565 |
+
"learning_rate": 6.554760380908051e-05,
|
566 |
"loss": 0.0026,
|
567 |
+
"step": 140958
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 6.23,
|
571 |
+
"learning_rate": 6.499195128100697e-05,
|
572 |
+
"loss": 0.0027,
|
573 |
+
"step": 142677
|
574 |
},
|
575 |
{
|
576 |
"epoch": 6.3,
|
577 |
+
"learning_rate": 6.443629875293342e-05,
|
578 |
+
"loss": 0.0029,
|
579 |
+
"step": 144396
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 6.38,
|
583 |
+
"learning_rate": 6.388064622485987e-05,
|
584 |
"loss": 0.0029,
|
585 |
+
"step": 146115
|
586 |
},
|
587 |
{
|
588 |
+
"epoch": 6.45,
|
589 |
+
"learning_rate": 6.332499369678633e-05,
|
590 |
+
"loss": 0.0029,
|
591 |
+
"step": 147834
|
592 |
},
|
593 |
{
|
594 |
+
"epoch": 6.53,
|
595 |
+
"learning_rate": 6.27693411687128e-05,
|
596 |
"loss": 0.0028,
|
597 |
+
"step": 149553
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 6.6,
|
601 |
+
"learning_rate": 6.221368864063925e-05,
|
602 |
+
"loss": 0.0029,
|
603 |
+
"step": 151272
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 6.68,
|
607 |
+
"learning_rate": 6.16580361125657e-05,
|
608 |
+
"loss": 0.0029,
|
609 |
+
"step": 152991
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 6.75,
|
613 |
+
"learning_rate": 6.110238358449216e-05,
|
614 |
+
"loss": 0.0029,
|
615 |
+
"step": 154710
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 6.83,
|
619 |
+
"learning_rate": 6.0546731056418614e-05,
|
620 |
+
"loss": 0.0028,
|
621 |
+
"step": 156429
|
622 |
},
|
623 |
{
|
624 |
"epoch": 6.9,
|
625 |
+
"learning_rate": 5.999107852834507e-05,
|
626 |
+
"loss": 0.0029,
|
627 |
+
"step": 158148
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 6.98,
|
631 |
+
"learning_rate": 5.943542600027152e-05,
|
632 |
+
"loss": 0.003,
|
633 |
+
"step": 159867
|
|
|
|
|
|
|
|
|
634 |
},
|
635 |
{
|
636 |
"epoch": 7.0,
|
637 |
+
"eval_loss": 0.030847659334540367,
|
638 |
+
"eval_max_distance": 8,
|
639 |
+
"eval_mean_distance": 0,
|
640 |
+
"eval_runtime": 13.4895,
|
641 |
+
"eval_samples_per_second": 18.607,
|
642 |
+
"eval_steps_per_second": 1.26,
|
643 |
+
"step": 160412
|
644 |
},
|
645 |
{
|
646 |
+
"epoch": 7.05,
|
647 |
+
"learning_rate": 5.887977347219798e-05,
|
648 |
"loss": 0.0027,
|
649 |
+
"step": 161586
|
650 |
},
|
651 |
{
|
652 |
+
"epoch": 7.13,
|
653 |
+
"learning_rate": 5.832412094412444e-05,
|
654 |
"loss": 0.0025,
|
655 |
+
"step": 163305
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 7.2,
|
659 |
+
"learning_rate": 5.7768468416050895e-05,
|
660 |
+
"loss": 0.0026,
|
661 |
+
"step": 165024
|
662 |
},
|
663 |
{
|
664 |
+
"epoch": 7.28,
|
665 |
+
"learning_rate": 5.7212815887977344e-05,
|
666 |
+
"loss": 0.0027,
|
667 |
+
"step": 166743
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 7.35,
|
671 |
+
"learning_rate": 5.665716335990381e-05,
|
672 |
"loss": 0.0025,
|
673 |
+
"step": 168462
|
674 |
},
|
675 |
{
|
676 |
+
"epoch": 7.43,
|
677 |
+
"learning_rate": 5.610151083183026e-05,
|
678 |
+
"loss": 0.0026,
|
679 |
+
"step": 170181
|
680 |
},
|
681 |
{
|
682 |
"epoch": 7.5,
|
683 |
+
"learning_rate": 5.554585830375671e-05,
|
684 |
"loss": 0.0026,
|
685 |
+
"step": 171900
|
686 |
},
|
687 |
{
|
688 |
+
"epoch": 7.58,
|
689 |
+
"learning_rate": 5.499020577568318e-05,
|
690 |
"loss": 0.0026,
|
691 |
+
"step": 173619
|
692 |
},
|
693 |
{
|
694 |
+
"epoch": 7.65,
|
695 |
+
"learning_rate": 5.443455324760963e-05,
|
696 |
"loss": 0.0026,
|
697 |
+
"step": 175338
|
698 |
},
|
699 |
{
|
700 |
+
"epoch": 7.73,
|
701 |
+
"learning_rate": 5.387890071953609e-05,
|
702 |
"loss": 0.0025,
|
703 |
+
"step": 177057
|
704 |
},
|
705 |
{
|
706 |
+
"epoch": 7.8,
|
707 |
+
"learning_rate": 5.332324819146254e-05,
|
708 |
"loss": 0.0027,
|
709 |
+
"step": 178776
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 7.88,
|
713 |
+
"learning_rate": 5.2767595663389e-05,
|
714 |
+
"loss": 0.0028,
|
715 |
+
"step": 180495
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 7.95,
|
719 |
+
"learning_rate": 5.2211943135315456e-05,
|
720 |
+
"loss": 0.0025,
|
721 |
+
"step": 182214
|
722 |
},
|
723 |
{
|
724 |
"epoch": 8.0,
|
725 |
+
"eval_loss": 0.03048335202038288,
|
726 |
+
"eval_max_distance": 8,
|
727 |
"eval_mean_distance": 0,
|
728 |
+
"eval_runtime": 13.5077,
|
729 |
+
"eval_samples_per_second": 18.582,
|
730 |
+
"eval_steps_per_second": 1.259,
|
731 |
+
"step": 183328
|
732 |
},
|
733 |
{
|
734 |
+
"epoch": 8.03,
|
735 |
+
"learning_rate": 5.1656290607241906e-05,
|
736 |
+
"loss": 0.0026,
|
737 |
+
"step": 183933
|
738 |
},
|
739 |
{
|
740 |
"epoch": 8.1,
|
741 |
+
"learning_rate": 5.110063807916836e-05,
|
742 |
"loss": 0.0023,
|
743 |
+
"step": 185652
|
744 |
},
|
745 |
{
|
746 |
+
"epoch": 8.18,
|
747 |
+
"learning_rate": 5.0544985551094825e-05,
|
748 |
+
"loss": 0.0024,
|
749 |
+
"step": 187371
|
750 |
},
|
751 |
{
|
752 |
+
"epoch": 8.25,
|
753 |
+
"learning_rate": 4.998933302302128e-05,
|
754 |
+
"loss": 0.0023,
|
755 |
+
"step": 189090
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 8.33,
|
759 |
+
"learning_rate": 4.943368049494773e-05,
|
760 |
+
"loss": 0.0024,
|
761 |
+
"step": 190809
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 8.4,
|
765 |
+
"learning_rate": 4.887802796687419e-05,
|
766 |
"loss": 0.0024,
|
767 |
+
"step": 192528
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 8.48,
|
771 |
+
"learning_rate": 4.832237543880065e-05,
|
772 |
"loss": 0.0025,
|
773 |
+
"step": 194247
|
774 |
},
|
775 |
{
|
776 |
+
"epoch": 8.55,
|
777 |
+
"learning_rate": 4.77667229107271e-05,
|
778 |
"loss": 0.0024,
|
779 |
+
"step": 195966
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 8.63,
|
783 |
+
"learning_rate": 4.721107038265356e-05,
|
784 |
+
"loss": 0.0026,
|
785 |
+
"step": 197685
|
786 |
},
|
787 |
{
|
788 |
+
"epoch": 8.7,
|
789 |
+
"learning_rate": 4.665541785458001e-05,
|
790 |
"loss": 0.0023,
|
791 |
+
"step": 199404
|
792 |
},
|
793 |
{
|
794 |
+
"epoch": 8.78,
|
795 |
+
"learning_rate": 4.6099765326506474e-05,
|
796 |
+
"loss": 0.0024,
|
797 |
+
"step": 201123
|
|
|
|
|
|
|
|
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 8.85,
|
801 |
+
"learning_rate": 4.5544112798432924e-05,
|
802 |
"loss": 0.0024,
|
803 |
+
"step": 202842
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 8.93,
|
807 |
+
"learning_rate": 4.4988460270359386e-05,
|
808 |
+
"loss": 0.0025,
|
809 |
+
"step": 204561
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 9.0,
|
813 |
+
"eval_loss": 0.030335595831274986,
|
814 |
+
"eval_max_distance": 8,
|
815 |
+
"eval_mean_distance": 0,
|
816 |
+
"eval_runtime": 13.4109,
|
817 |
+
"eval_samples_per_second": 18.716,
|
818 |
+
"eval_steps_per_second": 1.268,
|
819 |
+
"step": 206244
|
820 |
},
|
821 |
{
|
822 |
+
"epoch": 9.0,
|
823 |
+
"learning_rate": 4.4432807742285836e-05,
|
824 |
+
"loss": 0.0026,
|
825 |
+
"step": 206280
|
826 |
},
|
827 |
{
|
828 |
+
"epoch": 9.08,
|
829 |
+
"learning_rate": 4.38771552142123e-05,
|
830 |
+
"loss": 0.0021,
|
831 |
+
"step": 207999
|
832 |
},
|
833 |
{
|
834 |
+
"epoch": 9.15,
|
835 |
+
"learning_rate": 4.332150268613875e-05,
|
836 |
"loss": 0.0022,
|
837 |
+
"step": 209718
|
|
|
|
|
|
|
|
|
|
|
|
|
838 |
},
|
839 |
{
|
840 |
+
"epoch": 9.23,
|
841 |
+
"learning_rate": 4.2765850158065204e-05,
|
842 |
+
"loss": 0.0022,
|
843 |
+
"step": 211437
|
844 |
},
|
845 |
{
|
846 |
+
"epoch": 9.3,
|
847 |
+
"learning_rate": 4.221019762999166e-05,
|
848 |
+
"loss": 0.0023,
|
849 |
+
"step": 213156
|
850 |
},
|
851 |
{
|
852 |
+
"epoch": 9.38,
|
853 |
+
"learning_rate": 4.165454510191812e-05,
|
854 |
"loss": 0.0023,
|
855 |
+
"step": 214875
|
856 |
},
|
857 |
{
|
858 |
+
"epoch": 9.45,
|
859 |
+
"learning_rate": 4.109889257384457e-05,
|
860 |
+
"loss": 0.0023,
|
861 |
+
"step": 216594
|
|
|
|
|
|
|
|
|
862 |
},
|
863 |
{
|
864 |
+
"epoch": 9.53,
|
865 |
+
"learning_rate": 4.054324004577103e-05,
|
866 |
"loss": 0.0023,
|
867 |
+
"step": 218313
|
868 |
},
|
869 |
{
|
870 |
+
"epoch": 9.6,
|
871 |
+
"learning_rate": 3.998758751769749e-05,
|
872 |
+
"loss": 0.0024,
|
873 |
+
"step": 220032
|
874 |
},
|
875 |
{
|
876 |
+
"epoch": 9.68,
|
877 |
+
"learning_rate": 3.943193498962394e-05,
|
878 |
+
"loss": 0.0024,
|
879 |
+
"step": 221751
|
880 |
},
|
881 |
{
|
882 |
+
"epoch": 9.75,
|
883 |
+
"learning_rate": 3.88762824615504e-05,
|
884 |
+
"loss": 0.0022,
|
885 |
+
"step": 223470
|
886 |
},
|
887 |
{
|
888 |
+
"epoch": 9.83,
|
889 |
+
"learning_rate": 3.8320629933476854e-05,
|
890 |
+
"loss": 0.0023,
|
891 |
+
"step": 225189
|
892 |
},
|
893 |
{
|
894 |
+
"epoch": 9.9,
|
895 |
+
"learning_rate": 3.776497740540331e-05,
|
896 |
+
"loss": 0.0024,
|
897 |
+
"step": 226908
|
898 |
},
|
899 |
{
|
900 |
+
"epoch": 9.98,
|
901 |
+
"learning_rate": 3.7209324877329766e-05,
|
902 |
+
"loss": 0.0023,
|
903 |
+
"step": 228627
|
904 |
},
|
905 |
{
|
906 |
+
"epoch": 10.0,
|
907 |
+
"eval_loss": 0.034065987914800644,
|
908 |
+
"eval_max_distance": 8,
|
909 |
+
"eval_mean_distance": 0,
|
910 |
+
"eval_runtime": 13.4726,
|
911 |
+
"eval_samples_per_second": 18.63,
|
912 |
+
"eval_steps_per_second": 1.262,
|
913 |
+
"step": 229160
|
914 |
},
|
915 |
{
|
916 |
+
"epoch": 10.05,
|
917 |
+
"learning_rate": 3.665367234925622e-05,
|
918 |
+
"loss": 0.0021,
|
919 |
+
"step": 230346
|
920 |
},
|
921 |
{
|
922 |
+
"epoch": 10.13,
|
923 |
+
"learning_rate": 3.609801982118268e-05,
|
924 |
+
"loss": 0.0021,
|
925 |
+
"step": 232065
|
926 |
},
|
927 |
{
|
928 |
+
"epoch": 10.2,
|
929 |
+
"learning_rate": 3.5542367293109135e-05,
|
930 |
+
"loss": 0.0021,
|
931 |
+
"step": 233784
|
|
|
|
|
|
|
|
|
932 |
},
|
933 |
{
|
934 |
+
"epoch": 10.28,
|
935 |
+
"learning_rate": 3.498671476503559e-05,
|
936 |
+
"loss": 0.0022,
|
937 |
+
"step": 235503
|
938 |
},
|
939 |
{
|
940 |
+
"epoch": 10.35,
|
941 |
+
"learning_rate": 3.443106223696205e-05,
|
942 |
+
"loss": 0.0021,
|
943 |
+
"step": 237222
|
944 |
},
|
945 |
{
|
946 |
+
"epoch": 10.43,
|
947 |
+
"learning_rate": 3.38754097088885e-05,
|
948 |
+
"loss": 0.0022,
|
949 |
+
"step": 238941
|
950 |
},
|
951 |
{
|
952 |
+
"epoch": 10.5,
|
953 |
+
"learning_rate": 3.331975718081496e-05,
|
954 |
+
"loss": 0.0021,
|
955 |
+
"step": 240660
|
956 |
},
|
957 |
{
|
958 |
+
"epoch": 10.58,
|
959 |
+
"learning_rate": 3.276410465274141e-05,
|
960 |
+
"loss": 0.0021,
|
961 |
+
"step": 242379
|
962 |
},
|
963 |
{
|
964 |
+
"epoch": 10.65,
|
965 |
+
"learning_rate": 3.220845212466787e-05,
|
966 |
+
"loss": 0.0021,
|
967 |
+
"step": 244098
|
968 |
},
|
969 |
{
|
970 |
+
"epoch": 10.73,
|
971 |
+
"learning_rate": 3.165279959659433e-05,
|
972 |
+
"loss": 0.0022,
|
973 |
+
"step": 245817
|
974 |
},
|
975 |
{
|
976 |
+
"epoch": 10.8,
|
977 |
+
"learning_rate": 3.1097147068520784e-05,
|
978 |
+
"loss": 0.0022,
|
979 |
+
"step": 247536
|
980 |
},
|
981 |
{
|
982 |
+
"epoch": 10.88,
|
983 |
+
"learning_rate": 3.054149454044724e-05,
|
984 |
"loss": 0.002,
|
985 |
+
"step": 249255
|
986 |
},
|
987 |
{
|
988 |
+
"epoch": 10.95,
|
989 |
+
"learning_rate": 2.9985842012373693e-05,
|
990 |
+
"loss": 0.0022,
|
991 |
+
"step": 250974
|
992 |
},
|
993 |
{
|
994 |
+
"epoch": 11.0,
|
995 |
+
"eval_loss": 0.03288768604397774,
|
996 |
+
"eval_max_distance": 8,
|
997 |
"eval_mean_distance": 0,
|
998 |
+
"eval_runtime": 13.3832,
|
999 |
+
"eval_samples_per_second": 18.755,
|
1000 |
+
"eval_steps_per_second": 1.27,
|
1001 |
+
"step": 252076
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1002 |
},
|
1003 |
{
|
1004 |
+
"epoch": 11.03,
|
1005 |
+
"learning_rate": 2.9430189484300152e-05,
|
1006 |
+
"loss": 0.0022,
|
1007 |
+
"step": 252693
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1008 |
},
|
1009 |
{
|
1010 |
+
"epoch": 11.1,
|
1011 |
+
"learning_rate": 2.8874536956226605e-05,
|
1012 |
"loss": 0.002,
|
1013 |
+
"step": 254412
|
1014 |
},
|
1015 |
{
|
1016 |
+
"epoch": 11.18,
|
1017 |
+
"learning_rate": 2.8318884428153065e-05,
|
1018 |
+
"loss": 0.002,
|
1019 |
+
"step": 256131
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1020 |
},
|
1021 |
{
|
1022 |
+
"epoch": 11.25,
|
1023 |
+
"learning_rate": 2.7763231900079517e-05,
|
1024 |
+
"loss": 0.002,
|
1025 |
+
"step": 257850
|
1026 |
},
|
1027 |
{
|
1028 |
+
"epoch": 11.33,
|
1029 |
+
"learning_rate": 2.7207579372005977e-05,
|
1030 |
+
"loss": 0.0021,
|
1031 |
+
"step": 259569
|
1032 |
},
|
1033 |
{
|
1034 |
+
"epoch": 11.4,
|
1035 |
+
"learning_rate": 2.665192684393243e-05,
|
1036 |
+
"loss": 0.0019,
|
1037 |
+
"step": 261288
|
1038 |
},
|
1039 |
{
|
1040 |
+
"epoch": 11.48,
|
1041 |
+
"learning_rate": 2.6096274315858886e-05,
|
1042 |
+
"loss": 0.002,
|
1043 |
+
"step": 263007
|
1044 |
},
|
1045 |
{
|
1046 |
+
"epoch": 11.55,
|
1047 |
+
"learning_rate": 2.5540621787785342e-05,
|
1048 |
+
"loss": 0.002,
|
1049 |
+
"step": 264726
|
1050 |
},
|
1051 |
{
|
1052 |
+
"epoch": 11.63,
|
1053 |
+
"learning_rate": 2.4984969259711798e-05,
|
1054 |
+
"loss": 0.002,
|
1055 |
+
"step": 266445
|
1056 |
},
|
1057 |
{
|
1058 |
+
"epoch": 11.7,
|
1059 |
+
"learning_rate": 2.4429316731638254e-05,
|
1060 |
+
"loss": 0.0019,
|
1061 |
+
"step": 268164
|
1062 |
},
|
1063 |
{
|
1064 |
+
"epoch": 11.78,
|
1065 |
+
"learning_rate": 2.387366420356471e-05,
|
1066 |
+
"loss": 0.0021,
|
1067 |
+
"step": 269883
|
1068 |
},
|
1069 |
{
|
1070 |
+
"epoch": 11.85,
|
1071 |
+
"learning_rate": 2.3318011675491167e-05,
|
1072 |
+
"loss": 0.0021,
|
1073 |
+
"step": 271602
|
1074 |
},
|
1075 |
{
|
1076 |
+
"epoch": 11.93,
|
1077 |
+
"learning_rate": 2.2762359147417623e-05,
|
1078 |
+
"loss": 0.0019,
|
1079 |
+
"step": 273321
|
1080 |
},
|
1081 |
{
|
1082 |
+
"epoch": 12.0,
|
1083 |
+
"eval_loss": 0.03355114161968231,
|
1084 |
+
"eval_max_distance": 8,
|
1085 |
"eval_mean_distance": 0,
|
1086 |
+
"eval_runtime": 13.4567,
|
1087 |
+
"eval_samples_per_second": 18.652,
|
1088 |
+
"eval_steps_per_second": 1.263,
|
1089 |
+
"step": 274992
|
|
|
|
|
|
|
|
|
|
|
|
|
1090 |
},
|
1091 |
{
|
1092 |
+
"epoch": 12.0,
|
1093 |
+
"learning_rate": 2.220670661934408e-05,
|
1094 |
+
"loss": 0.0021,
|
1095 |
+
"step": 275040
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1096 |
},
|
1097 |
{
|
1098 |
+
"epoch": 12.08,
|
1099 |
+
"learning_rate": 2.1651054091270535e-05,
|
1100 |
+
"loss": 0.002,
|
1101 |
+
"step": 276759
|
1102 |
},
|
1103 |
{
|
1104 |
+
"epoch": 12.15,
|
1105 |
+
"learning_rate": 2.109540156319699e-05,
|
1106 |
+
"loss": 0.002,
|
1107 |
+
"step": 278478
|
1108 |
},
|
1109 |
{
|
1110 |
+
"epoch": 12.23,
|
1111 |
+
"learning_rate": 2.0539749035123444e-05,
|
1112 |
+
"loss": 0.0018,
|
1113 |
+
"step": 280197
|
|
|
|
|
|
|
|
|
1114 |
},
|
1115 |
{
|
1116 |
+
"epoch": 12.3,
|
1117 |
+
"learning_rate": 1.9984096507049904e-05,
|
1118 |
+
"loss": 0.002,
|
1119 |
+
"step": 281916
|
1120 |
},
|
1121 |
{
|
1122 |
+
"epoch": 12.38,
|
1123 |
+
"learning_rate": 1.942844397897636e-05,
|
1124 |
+
"loss": 0.0019,
|
1125 |
+
"step": 283635
|
1126 |
},
|
1127 |
{
|
1128 |
+
"epoch": 12.45,
|
1129 |
+
"learning_rate": 1.8872791450902816e-05,
|
1130 |
+
"loss": 0.0018,
|
1131 |
+
"step": 285354
|
1132 |
},
|
1133 |
{
|
1134 |
+
"epoch": 12.53,
|
1135 |
+
"learning_rate": 1.8317138922829272e-05,
|
1136 |
+
"loss": 0.0019,
|
1137 |
+
"step": 287073
|
1138 |
},
|
1139 |
{
|
1140 |
+
"epoch": 12.6,
|
1141 |
+
"learning_rate": 1.776148639475573e-05,
|
1142 |
+
"loss": 0.0018,
|
1143 |
+
"step": 288792
|
1144 |
},
|
1145 |
{
|
1146 |
+
"epoch": 12.68,
|
1147 |
+
"learning_rate": 1.7205833866682185e-05,
|
1148 |
+
"loss": 0.0019,
|
1149 |
+
"step": 290511
|
1150 |
},
|
1151 |
{
|
1152 |
+
"epoch": 12.75,
|
1153 |
+
"learning_rate": 1.665018133860864e-05,
|
1154 |
+
"loss": 0.0019,
|
1155 |
+
"step": 292230
|
1156 |
},
|
1157 |
{
|
1158 |
+
"epoch": 12.83,
|
1159 |
+
"learning_rate": 1.6094528810535094e-05,
|
1160 |
+
"loss": 0.0021,
|
1161 |
+
"step": 293949
|
1162 |
},
|
1163 |
{
|
1164 |
+
"epoch": 12.9,
|
1165 |
+
"learning_rate": 1.553887628246155e-05,
|
1166 |
+
"loss": 0.0019,
|
1167 |
+
"step": 295668
|
1168 |
},
|
1169 |
{
|
1170 |
+
"epoch": 12.98,
|
1171 |
+
"learning_rate": 1.4983223754388006e-05,
|
1172 |
+
"loss": 0.002,
|
1173 |
+
"step": 297387
|
1174 |
},
|
1175 |
{
|
1176 |
+
"epoch": 13.0,
|
1177 |
+
"eval_loss": 0.035788267850875854,
|
1178 |
+
"eval_max_distance": 8,
|
1179 |
"eval_mean_distance": 0,
|
1180 |
+
"eval_runtime": 13.4958,
|
1181 |
+
"eval_samples_per_second": 18.598,
|
1182 |
+
"eval_steps_per_second": 1.26,
|
1183 |
+
"step": 297908
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1184 |
},
|
1185 |
{
|
1186 |
+
"epoch": 13.05,
|
1187 |
+
"learning_rate": 1.4427571226314462e-05,
|
1188 |
+
"loss": 0.0019,
|
1189 |
+
"step": 299106
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1190 |
},
|
1191 |
{
|
1192 |
+
"epoch": 13.13,
|
1193 |
+
"learning_rate": 1.3871918698240918e-05,
|
1194 |
+
"loss": 0.0018,
|
1195 |
+
"step": 300825
|
1196 |
},
|
1197 |
{
|
1198 |
+
"epoch": 13.2,
|
1199 |
+
"learning_rate": 1.3316266170167374e-05,
|
1200 |
+
"loss": 0.0018,
|
1201 |
+
"step": 302544
|
|
|
|
|
|
|
|
|
1202 |
},
|
1203 |
{
|
1204 |
+
"epoch": 13.28,
|
1205 |
+
"learning_rate": 1.276061364209383e-05,
|
1206 |
+
"loss": 0.0018,
|
1207 |
+
"step": 304263
|
1208 |
},
|
1209 |
{
|
1210 |
+
"epoch": 13.35,
|
1211 |
+
"learning_rate": 1.2204961114020287e-05,
|
1212 |
+
"loss": 0.0018,
|
1213 |
+
"step": 305982
|
1214 |
},
|
1215 |
{
|
1216 |
+
"epoch": 13.43,
|
1217 |
+
"learning_rate": 1.1649308585946743e-05,
|
1218 |
+
"loss": 0.0018,
|
1219 |
+
"step": 307701
|
1220 |
},
|
1221 |
{
|
1222 |
+
"epoch": 13.5,
|
1223 |
+
"learning_rate": 1.1093656057873199e-05,
|
1224 |
+
"loss": 0.0019,
|
1225 |
+
"step": 309420
|
1226 |
},
|
1227 |
{
|
1228 |
+
"epoch": 13.58,
|
1229 |
+
"learning_rate": 1.0538003529799655e-05,
|
1230 |
+
"loss": 0.0018,
|
1231 |
+
"step": 311139
|
1232 |
},
|
1233 |
{
|
1234 |
+
"epoch": 13.65,
|
1235 |
+
"learning_rate": 9.982351001726111e-06,
|
1236 |
+
"loss": 0.0017,
|
1237 |
+
"step": 312858
|
1238 |
},
|
1239 |
{
|
1240 |
+
"epoch": 13.73,
|
1241 |
+
"learning_rate": 9.426698473652567e-06,
|
1242 |
+
"loss": 0.0018,
|
1243 |
+
"step": 314577
|
1244 |
},
|
1245 |
{
|
1246 |
+
"epoch": 13.8,
|
1247 |
+
"learning_rate": 8.871045945579024e-06,
|
1248 |
+
"loss": 0.002,
|
1249 |
+
"step": 316296
|
1250 |
},
|
1251 |
{
|
1252 |
+
"epoch": 13.88,
|
1253 |
+
"learning_rate": 8.31539341750548e-06,
|
1254 |
+
"loss": 0.0018,
|
1255 |
+
"step": 318015
|
1256 |
},
|
1257 |
{
|
1258 |
+
"epoch": 13.95,
|
1259 |
+
"learning_rate": 7.759740889431934e-06,
|
1260 |
+
"loss": 0.0018,
|
1261 |
+
"step": 319734
|
1262 |
},
|
1263 |
{
|
1264 |
+
"epoch": 14.0,
|
1265 |
+
"eval_loss": 0.03550655022263527,
|
1266 |
+
"eval_max_distance": 8,
|
1267 |
"eval_mean_distance": 0,
|
1268 |
+
"eval_runtime": 13.4713,
|
1269 |
+
"eval_samples_per_second": 18.632,
|
1270 |
+
"eval_steps_per_second": 1.262,
|
1271 |
+
"step": 320824
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1272 |
},
|
1273 |
{
|
1274 |
+
"epoch": 14.03,
|
1275 |
+
"learning_rate": 7.204088361358391e-06,
|
1276 |
+
"loss": 0.0017,
|
1277 |
+
"step": 321453
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1278 |
},
|
1279 |
{
|
1280 |
+
"epoch": 14.1,
|
1281 |
+
"learning_rate": 6.648435833284847e-06,
|
1282 |
+
"loss": 0.0018,
|
1283 |
+
"step": 323172
|
1284 |
},
|
1285 |
{
|
1286 |
+
"epoch": 14.18,
|
1287 |
+
"learning_rate": 6.092783305211304e-06,
|
1288 |
+
"loss": 0.0018,
|
1289 |
+
"step": 324891
|
1290 |
},
|
1291 |
{
|
1292 |
+
"epoch": 14.25,
|
1293 |
+
"learning_rate": 5.537130777137759e-06,
|
1294 |
+
"loss": 0.0017,
|
1295 |
+
"step": 326610
|
|
|
|
|
|
|
|
|
1296 |
},
|
1297 |
{
|
1298 |
+
"epoch": 14.33,
|
1299 |
+
"learning_rate": 4.981478249064216e-06,
|
1300 |
+
"loss": 0.0018,
|
1301 |
+
"step": 328329
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 14.4,
|
1305 |
+
"learning_rate": 4.425825720990671e-06,
|
1306 |
+
"loss": 0.0018,
|
1307 |
+
"step": 330048
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 14.48,
|
1311 |
+
"learning_rate": 3.8701731929171274e-06,
|
1312 |
+
"loss": 0.0018,
|
1313 |
+
"step": 331767
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 14.55,
|
1317 |
+
"learning_rate": 3.3145206648435836e-06,
|
1318 |
+
"loss": 0.0019,
|
1319 |
+
"step": 333486
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 14.63,
|
1323 |
+
"learning_rate": 2.7588681367700398e-06,
|
1324 |
+
"loss": 0.0017,
|
1325 |
+
"step": 335205
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 14.7,
|
1329 |
+
"learning_rate": 2.2032156086964955e-06,
|
1330 |
+
"loss": 0.0018,
|
1331 |
+
"step": 336924
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 14.78,
|
1335 |
+
"learning_rate": 1.6475630806229517e-06,
|
1336 |
+
"loss": 0.0017,
|
1337 |
+
"step": 338643
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 14.85,
|
1341 |
+
"learning_rate": 1.0919105525494076e-06,
|
1342 |
+
"loss": 0.0018,
|
1343 |
+
"step": 340362
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 14.93,
|
1347 |
+
"learning_rate": 5.362580244758636e-07,
|
1348 |
+
"loss": 0.0019,
|
1349 |
+
"step": 342081
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 15.0,
|
1353 |
+
"eval_loss": 0.03661360964179039,
|
1354 |
+
"eval_max_distance": 8,
|
1355 |
+
"eval_mean_distance": 0,
|
1356 |
+
"eval_runtime": 13.3536,
|
1357 |
+
"eval_samples_per_second": 18.796,
|
1358 |
+
"eval_steps_per_second": 1.273,
|
1359 |
+
"step": 343740
|
1360 |
},
|
1361 |
{
|
1362 |
+
"epoch": 15.0,
|
1363 |
+
"step": 343740,
|
1364 |
+
"total_flos": 8.727792619277722e+16,
|
1365 |
+
"train_loss": 0.0029792904397642345,
|
1366 |
+
"train_runtime": 24306.5697,
|
1367 |
+
"train_samples_per_second": 212.119,
|
1368 |
+
"train_steps_per_second": 14.142
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1369 |
}
|
1370 |
],
|
1371 |
+
"logging_steps": 1719,
|
1372 |
+
"max_steps": 343740,
|
1373 |
+
"num_train_epochs": 15,
|
1374 |
+
"save_steps": 3438,
|
1375 |
+
"total_flos": 8.727792619277722e+16,
|
1376 |
"trial_name": null,
|
1377 |
"trial_params": null
|
1378 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4091
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19cad5fdc011eae68aae9d7cd252dcf011f18199df3fd5c6b107c8e3cbed177f
|
3 |
size 4091
|