End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +99 -792
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_f1": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 989,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 7914,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_f1": 0.5464019851116626,
|
4 |
+
"eval_loss": 0.27576151490211487,
|
5 |
+
"eval_runtime": 8.3638,
|
6 |
"eval_samples": 989,
|
7 |
+
"eval_samples_per_second": 118.248,
|
8 |
+
"eval_steps_per_second": 3.706,
|
9 |
+
"train_loss": 0.2750998620064028,
|
10 |
+
"train_runtime": 948.4301,
|
11 |
"train_samples": 7914,
|
12 |
+
"train_samples_per_second": 41.722,
|
13 |
+
"train_steps_per_second": 0.327
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_f1": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 989,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_f1": 0.5464019851116626,
|
4 |
+
"eval_loss": 0.27576151490211487,
|
5 |
+
"eval_runtime": 8.3638,
|
6 |
"eval_samples": 989,
|
7 |
+
"eval_samples_per_second": 118.248,
|
8 |
+
"eval_steps_per_second": 3.706
|
9 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 7914,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.2750998620064028,
|
4 |
+
"train_runtime": 948.4301,
|
5 |
"train_samples": 7914,
|
6 |
+
"train_samples_per_second": 41.722,
|
7 |
+
"train_steps_per_second": 0.327
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,952 +1,259 @@
|
|
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": 0.16,
|
13 |
-
"learning_rate": 5.
|
14 |
-
"loss": 0.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.32,
|
19 |
-
"learning_rate": 5.
|
20 |
-
"loss": 0.
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.48,
|
25 |
-
"learning_rate": 5.
|
26 |
-
"loss": 0.
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.65,
|
31 |
-
"learning_rate": 5.
|
32 |
-
"loss": 0.
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.81,
|
37 |
-
"learning_rate": 5.
|
38 |
-
"loss": 0.
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.97,
|
43 |
-
"learning_rate":
|
44 |
-
"loss": 0.
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 1.0,
|
49 |
-
"eval_f1": 0.
|
50 |
-
"eval_loss": 0.
|
51 |
-
"eval_runtime":
|
52 |
-
"eval_samples_per_second":
|
53 |
-
"eval_steps_per_second":
|
54 |
"step": 62
|
55 |
},
|
56 |
{
|
57 |
"epoch": 1.13,
|
58 |
-
"learning_rate":
|
59 |
-
"loss": 0.
|
60 |
"step": 70
|
61 |
},
|
62 |
{
|
63 |
"epoch": 1.29,
|
64 |
-
"learning_rate":
|
65 |
-
"loss": 0.
|
66 |
"step": 80
|
67 |
},
|
68 |
{
|
69 |
"epoch": 1.45,
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.61,
|
76 |
-
"learning_rate":
|
77 |
-
"loss": 0.
|
78 |
"step": 100
|
79 |
},
|
80 |
{
|
81 |
"epoch": 1.77,
|
82 |
-
"learning_rate":
|
83 |
-
"loss": 0.
|
84 |
"step": 110
|
85 |
},
|
86 |
{
|
87 |
"epoch": 1.94,
|
88 |
-
"learning_rate":
|
89 |
-
"loss": 0.
|
90 |
"step": 120
|
91 |
},
|
92 |
{
|
93 |
"epoch": 2.0,
|
94 |
-
"eval_f1": 0.
|
95 |
-
"eval_loss": 0.
|
96 |
-
"eval_runtime":
|
97 |
-
"eval_samples_per_second":
|
98 |
-
"eval_steps_per_second":
|
99 |
"step": 124
|
100 |
},
|
101 |
{
|
102 |
"epoch": 2.1,
|
103 |
-
"learning_rate":
|
104 |
-
"loss": 0.
|
105 |
"step": 130
|
106 |
},
|
107 |
{
|
108 |
"epoch": 2.26,
|
109 |
-
"learning_rate":
|
110 |
-
"loss": 0.
|
111 |
"step": 140
|
112 |
},
|
113 |
{
|
114 |
"epoch": 2.42,
|
115 |
-
"learning_rate":
|
116 |
-
"loss": 0.
|
117 |
"step": 150
|
118 |
},
|
119 |
{
|
120 |
"epoch": 2.58,
|
121 |
-
"learning_rate":
|
122 |
-
"loss": 0.
|
123 |
"step": 160
|
124 |
},
|
125 |
{
|
126 |
"epoch": 2.74,
|
127 |
-
"learning_rate":
|
128 |
-
"loss": 0.
|
129 |
"step": 170
|
130 |
},
|
131 |
{
|
132 |
"epoch": 2.9,
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 0.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
-
"eval_f1": 0.
|
140 |
-
"eval_loss": 0.
|
141 |
-
"eval_runtime":
|
142 |
-
"eval_samples_per_second":
|
143 |
-
"eval_steps_per_second":
|
144 |
"step": 186
|
145 |
},
|
146 |
{
|
147 |
"epoch": 3.06,
|
148 |
-
"learning_rate":
|
149 |
-
"loss": 0.
|
150 |
"step": 190
|
151 |
},
|
152 |
{
|
153 |
"epoch": 3.23,
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 0.
|
156 |
"step": 200
|
157 |
},
|
158 |
{
|
159 |
"epoch": 3.39,
|
160 |
-
"learning_rate":
|
161 |
-
"loss": 0.
|
162 |
"step": 210
|
163 |
},
|
164 |
{
|
165 |
"epoch": 3.55,
|
166 |
-
"learning_rate":
|
167 |
-
"loss": 0.
|
168 |
"step": 220
|
169 |
},
|
170 |
{
|
171 |
"epoch": 3.71,
|
172 |
-
"learning_rate":
|
173 |
-
"loss": 0.
|
174 |
"step": 230
|
175 |
},
|
176 |
{
|
177 |
"epoch": 3.87,
|
178 |
-
"learning_rate":
|
179 |
-
"loss": 0.
|
180 |
"step": 240
|
181 |
},
|
182 |
{
|
183 |
"epoch": 4.0,
|
184 |
-
"eval_f1": 0.
|
185 |
-
"eval_loss": 0.
|
186 |
-
"eval_runtime":
|
187 |
-
"eval_samples_per_second":
|
188 |
-
"eval_steps_per_second":
|
189 |
"step": 248
|
190 |
},
|
191 |
{
|
192 |
"epoch": 4.03,
|
193 |
-
"learning_rate":
|
194 |
-
"loss": 0.
|
195 |
"step": 250
|
196 |
},
|
197 |
{
|
198 |
"epoch": 4.19,
|
199 |
-
"learning_rate":
|
200 |
-
"loss": 0.
|
201 |
"step": 260
|
202 |
},
|
203 |
{
|
204 |
"epoch": 4.35,
|
205 |
-
"learning_rate":
|
206 |
-
"loss": 0.
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
"epoch": 4.52,
|
211 |
-
"learning_rate":
|
212 |
-
"loss": 0.
|
213 |
"step": 280
|
214 |
},
|
215 |
{
|
216 |
"epoch": 4.68,
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 0.
|
219 |
"step": 290
|
220 |
},
|
221 |
{
|
222 |
"epoch": 4.84,
|
223 |
-
"learning_rate":
|
224 |
-
"loss": 0.
|
225 |
"step": 300
|
226 |
},
|
227 |
{
|
228 |
"epoch": 5.0,
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 0.
|
231 |
"step": 310
|
232 |
},
|
233 |
{
|
234 |
"epoch": 5.0,
|
235 |
-
"eval_f1": 0.
|
236 |
-
"eval_loss": 0.
|
237 |
-
"eval_runtime":
|
238 |
-
"eval_samples_per_second":
|
239 |
-
"eval_steps_per_second":
|
240 |
"step": 310
|
241 |
},
|
242 |
{
|
243 |
-
"epoch": 5.
|
244 |
-
"
|
245 |
-
"
|
246 |
-
"
|
247 |
-
|
248 |
-
|
249 |
-
"
|
250 |
-
"learning_rate": 4.403225806451613e-05,
|
251 |
-
"loss": 0.1996,
|
252 |
-
"step": 330
|
253 |
-
},
|
254 |
-
{
|
255 |
-
"epoch": 5.48,
|
256 |
-
"learning_rate": 4.3548387096774194e-05,
|
257 |
-
"loss": 0.1921,
|
258 |
-
"step": 340
|
259 |
-
},
|
260 |
-
{
|
261 |
-
"epoch": 5.65,
|
262 |
-
"learning_rate": 4.306451612903226e-05,
|
263 |
-
"loss": 0.1966,
|
264 |
-
"step": 350
|
265 |
-
},
|
266 |
-
{
|
267 |
-
"epoch": 5.81,
|
268 |
-
"learning_rate": 4.2580645161290327e-05,
|
269 |
-
"loss": 0.2023,
|
270 |
-
"step": 360
|
271 |
-
},
|
272 |
-
{
|
273 |
-
"epoch": 5.97,
|
274 |
-
"learning_rate": 4.209677419354839e-05,
|
275 |
-
"loss": 0.1903,
|
276 |
-
"step": 370
|
277 |
-
},
|
278 |
-
{
|
279 |
-
"epoch": 6.0,
|
280 |
-
"eval_f1": 0.5535545023696682,
|
281 |
-
"eval_loss": 0.29538020491600037,
|
282 |
-
"eval_runtime": 2.9433,
|
283 |
-
"eval_samples_per_second": 336.013,
|
284 |
-
"eval_steps_per_second": 10.532,
|
285 |
-
"step": 372
|
286 |
-
},
|
287 |
-
{
|
288 |
-
"epoch": 6.13,
|
289 |
-
"learning_rate": 4.161290322580646e-05,
|
290 |
-
"loss": 0.1854,
|
291 |
-
"step": 380
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 6.29,
|
295 |
-
"learning_rate": 4.112903225806451e-05,
|
296 |
-
"loss": 0.1784,
|
297 |
-
"step": 390
|
298 |
-
},
|
299 |
-
{
|
300 |
-
"epoch": 6.45,
|
301 |
-
"learning_rate": 4.064516129032258e-05,
|
302 |
-
"loss": 0.1776,
|
303 |
-
"step": 400
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 6.61,
|
307 |
-
"learning_rate": 4.0161290322580643e-05,
|
308 |
-
"loss": 0.1746,
|
309 |
-
"step": 410
|
310 |
-
},
|
311 |
-
{
|
312 |
-
"epoch": 6.77,
|
313 |
-
"learning_rate": 3.967741935483871e-05,
|
314 |
-
"loss": 0.1762,
|
315 |
-
"step": 420
|
316 |
-
},
|
317 |
-
{
|
318 |
-
"epoch": 6.94,
|
319 |
-
"learning_rate": 3.9193548387096776e-05,
|
320 |
-
"loss": 0.172,
|
321 |
-
"step": 430
|
322 |
-
},
|
323 |
-
{
|
324 |
-
"epoch": 7.0,
|
325 |
-
"eval_f1": 0.5482866043613707,
|
326 |
-
"eval_loss": 0.29978421330451965,
|
327 |
-
"eval_runtime": 2.9231,
|
328 |
-
"eval_samples_per_second": 338.34,
|
329 |
-
"eval_steps_per_second": 10.605,
|
330 |
-
"step": 434
|
331 |
-
},
|
332 |
-
{
|
333 |
-
"epoch": 7.1,
|
334 |
-
"learning_rate": 3.870967741935484e-05,
|
335 |
-
"loss": 0.1638,
|
336 |
-
"step": 440
|
337 |
-
},
|
338 |
-
{
|
339 |
-
"epoch": 7.26,
|
340 |
-
"learning_rate": 3.82258064516129e-05,
|
341 |
-
"loss": 0.1628,
|
342 |
-
"step": 450
|
343 |
-
},
|
344 |
-
{
|
345 |
-
"epoch": 7.42,
|
346 |
-
"learning_rate": 3.774193548387097e-05,
|
347 |
-
"loss": 0.1559,
|
348 |
-
"step": 460
|
349 |
-
},
|
350 |
-
{
|
351 |
-
"epoch": 7.58,
|
352 |
-
"learning_rate": 3.725806451612903e-05,
|
353 |
-
"loss": 0.1574,
|
354 |
-
"step": 470
|
355 |
-
},
|
356 |
-
{
|
357 |
-
"epoch": 7.74,
|
358 |
-
"learning_rate": 3.67741935483871e-05,
|
359 |
-
"loss": 0.1614,
|
360 |
-
"step": 480
|
361 |
-
},
|
362 |
-
{
|
363 |
-
"epoch": 7.9,
|
364 |
-
"learning_rate": 3.6290322580645165e-05,
|
365 |
-
"loss": 0.1551,
|
366 |
-
"step": 490
|
367 |
-
},
|
368 |
-
{
|
369 |
-
"epoch": 8.0,
|
370 |
-
"eval_f1": 0.5663555656726611,
|
371 |
-
"eval_loss": 0.3146507441997528,
|
372 |
-
"eval_runtime": 2.9227,
|
373 |
-
"eval_samples_per_second": 338.382,
|
374 |
-
"eval_steps_per_second": 10.607,
|
375 |
-
"step": 496
|
376 |
-
},
|
377 |
-
{
|
378 |
-
"epoch": 8.06,
|
379 |
-
"learning_rate": 3.580645161290323e-05,
|
380 |
-
"loss": 0.1497,
|
381 |
-
"step": 500
|
382 |
-
},
|
383 |
-
{
|
384 |
-
"epoch": 8.23,
|
385 |
-
"learning_rate": 3.532258064516129e-05,
|
386 |
-
"loss": 0.146,
|
387 |
-
"step": 510
|
388 |
-
},
|
389 |
-
{
|
390 |
-
"epoch": 8.39,
|
391 |
-
"learning_rate": 3.483870967741936e-05,
|
392 |
-
"loss": 0.1426,
|
393 |
-
"step": 520
|
394 |
-
},
|
395 |
-
{
|
396 |
-
"epoch": 8.55,
|
397 |
-
"learning_rate": 3.435483870967742e-05,
|
398 |
-
"loss": 0.1494,
|
399 |
-
"step": 530
|
400 |
-
},
|
401 |
-
{
|
402 |
-
"epoch": 8.71,
|
403 |
-
"learning_rate": 3.387096774193549e-05,
|
404 |
-
"loss": 0.1405,
|
405 |
-
"step": 540
|
406 |
-
},
|
407 |
-
{
|
408 |
-
"epoch": 8.87,
|
409 |
-
"learning_rate": 3.338709677419355e-05,
|
410 |
-
"loss": 0.1419,
|
411 |
-
"step": 550
|
412 |
-
},
|
413 |
-
{
|
414 |
-
"epoch": 9.0,
|
415 |
-
"eval_f1": 0.5569386814200094,
|
416 |
-
"eval_loss": 0.3179270029067993,
|
417 |
-
"eval_runtime": 2.8924,
|
418 |
-
"eval_samples_per_second": 341.925,
|
419 |
-
"eval_steps_per_second": 10.718,
|
420 |
-
"step": 558
|
421 |
-
},
|
422 |
-
{
|
423 |
-
"epoch": 9.03,
|
424 |
-
"learning_rate": 3.2903225806451614e-05,
|
425 |
-
"loss": 0.1391,
|
426 |
-
"step": 560
|
427 |
-
},
|
428 |
-
{
|
429 |
-
"epoch": 9.19,
|
430 |
-
"learning_rate": 3.2419354838709674e-05,
|
431 |
-
"loss": 0.1295,
|
432 |
-
"step": 570
|
433 |
-
},
|
434 |
-
{
|
435 |
-
"epoch": 9.35,
|
436 |
-
"learning_rate": 3.193548387096774e-05,
|
437 |
-
"loss": 0.1269,
|
438 |
-
"step": 580
|
439 |
-
},
|
440 |
-
{
|
441 |
-
"epoch": 9.52,
|
442 |
-
"learning_rate": 3.1451612903225806e-05,
|
443 |
-
"loss": 0.1279,
|
444 |
-
"step": 590
|
445 |
-
},
|
446 |
-
{
|
447 |
-
"epoch": 9.68,
|
448 |
-
"learning_rate": 3.096774193548387e-05,
|
449 |
-
"loss": 0.1283,
|
450 |
-
"step": 600
|
451 |
-
},
|
452 |
-
{
|
453 |
-
"epoch": 9.84,
|
454 |
-
"learning_rate": 3.0483870967741935e-05,
|
455 |
-
"loss": 0.1266,
|
456 |
-
"step": 610
|
457 |
-
},
|
458 |
-
{
|
459 |
-
"epoch": 10.0,
|
460 |
-
"learning_rate": 3e-05,
|
461 |
-
"loss": 0.1291,
|
462 |
-
"step": 620
|
463 |
-
},
|
464 |
-
{
|
465 |
-
"epoch": 10.0,
|
466 |
-
"eval_f1": 0.5659516202647192,
|
467 |
-
"eval_loss": 0.32372668385505676,
|
468 |
-
"eval_runtime": 2.9143,
|
469 |
-
"eval_samples_per_second": 339.356,
|
470 |
-
"eval_steps_per_second": 10.637,
|
471 |
-
"step": 620
|
472 |
-
},
|
473 |
-
{
|
474 |
-
"epoch": 10.16,
|
475 |
-
"learning_rate": 2.9516129032258067e-05,
|
476 |
-
"loss": 0.1164,
|
477 |
-
"step": 630
|
478 |
-
},
|
479 |
-
{
|
480 |
-
"epoch": 10.32,
|
481 |
-
"learning_rate": 2.903225806451613e-05,
|
482 |
-
"loss": 0.1206,
|
483 |
-
"step": 640
|
484 |
-
},
|
485 |
-
{
|
486 |
-
"epoch": 10.48,
|
487 |
-
"learning_rate": 2.8548387096774196e-05,
|
488 |
-
"loss": 0.1121,
|
489 |
-
"step": 650
|
490 |
-
},
|
491 |
-
{
|
492 |
-
"epoch": 10.65,
|
493 |
-
"learning_rate": 2.806451612903226e-05,
|
494 |
-
"loss": 0.123,
|
495 |
-
"step": 660
|
496 |
-
},
|
497 |
-
{
|
498 |
-
"epoch": 10.81,
|
499 |
-
"learning_rate": 2.758064516129032e-05,
|
500 |
-
"loss": 0.1148,
|
501 |
-
"step": 670
|
502 |
-
},
|
503 |
-
{
|
504 |
-
"epoch": 10.97,
|
505 |
-
"learning_rate": 2.7096774193548387e-05,
|
506 |
-
"loss": 0.1166,
|
507 |
-
"step": 680
|
508 |
-
},
|
509 |
-
{
|
510 |
-
"epoch": 11.0,
|
511 |
-
"eval_f1": 0.5683084466235793,
|
512 |
-
"eval_loss": 0.3352525234222412,
|
513 |
-
"eval_runtime": 2.8947,
|
514 |
-
"eval_samples_per_second": 341.665,
|
515 |
-
"eval_steps_per_second": 10.709,
|
516 |
-
"step": 682
|
517 |
-
},
|
518 |
-
{
|
519 |
-
"epoch": 11.13,
|
520 |
-
"learning_rate": 2.6612903225806453e-05,
|
521 |
-
"loss": 0.1068,
|
522 |
-
"step": 690
|
523 |
-
},
|
524 |
-
{
|
525 |
-
"epoch": 11.29,
|
526 |
-
"learning_rate": 2.6129032258064516e-05,
|
527 |
-
"loss": 0.1109,
|
528 |
-
"step": 700
|
529 |
-
},
|
530 |
-
{
|
531 |
-
"epoch": 11.45,
|
532 |
-
"learning_rate": 2.5645161290322582e-05,
|
533 |
-
"loss": 0.1049,
|
534 |
-
"step": 710
|
535 |
-
},
|
536 |
-
{
|
537 |
-
"epoch": 11.61,
|
538 |
-
"learning_rate": 2.5161290322580648e-05,
|
539 |
-
"loss": 0.1042,
|
540 |
-
"step": 720
|
541 |
-
},
|
542 |
-
{
|
543 |
-
"epoch": 11.77,
|
544 |
-
"learning_rate": 2.467741935483871e-05,
|
545 |
-
"loss": 0.1111,
|
546 |
-
"step": 730
|
547 |
-
},
|
548 |
-
{
|
549 |
-
"epoch": 11.94,
|
550 |
-
"learning_rate": 2.4193548387096773e-05,
|
551 |
-
"loss": 0.1079,
|
552 |
-
"step": 740
|
553 |
-
},
|
554 |
-
{
|
555 |
-
"epoch": 12.0,
|
556 |
-
"eval_f1": 0.5689615996364462,
|
557 |
-
"eval_loss": 0.33389773964881897,
|
558 |
-
"eval_runtime": 2.9192,
|
559 |
-
"eval_samples_per_second": 338.786,
|
560 |
-
"eval_steps_per_second": 10.619,
|
561 |
-
"step": 744
|
562 |
-
},
|
563 |
-
{
|
564 |
-
"epoch": 12.1,
|
565 |
-
"learning_rate": 2.370967741935484e-05,
|
566 |
-
"loss": 0.0981,
|
567 |
-
"step": 750
|
568 |
-
},
|
569 |
-
{
|
570 |
-
"epoch": 12.26,
|
571 |
-
"learning_rate": 2.3225806451612902e-05,
|
572 |
-
"loss": 0.1,
|
573 |
-
"step": 760
|
574 |
-
},
|
575 |
-
{
|
576 |
-
"epoch": 12.42,
|
577 |
-
"learning_rate": 2.274193548387097e-05,
|
578 |
-
"loss": 0.0947,
|
579 |
-
"step": 770
|
580 |
-
},
|
581 |
-
{
|
582 |
-
"epoch": 12.58,
|
583 |
-
"learning_rate": 2.2258064516129034e-05,
|
584 |
-
"loss": 0.0937,
|
585 |
-
"step": 780
|
586 |
-
},
|
587 |
-
{
|
588 |
-
"epoch": 12.74,
|
589 |
-
"learning_rate": 2.1774193548387097e-05,
|
590 |
-
"loss": 0.0978,
|
591 |
-
"step": 790
|
592 |
-
},
|
593 |
-
{
|
594 |
-
"epoch": 12.9,
|
595 |
-
"learning_rate": 2.1290322580645163e-05,
|
596 |
-
"loss": 0.0988,
|
597 |
-
"step": 800
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 13.0,
|
601 |
-
"eval_f1": 0.573460769059791,
|
602 |
-
"eval_loss": 0.34931689500808716,
|
603 |
-
"eval_runtime": 2.9238,
|
604 |
-
"eval_samples_per_second": 338.256,
|
605 |
-
"eval_steps_per_second": 10.603,
|
606 |
-
"step": 806
|
607 |
-
},
|
608 |
-
{
|
609 |
-
"epoch": 13.06,
|
610 |
-
"learning_rate": 2.080645161290323e-05,
|
611 |
-
"loss": 0.0948,
|
612 |
-
"step": 810
|
613 |
-
},
|
614 |
-
{
|
615 |
-
"epoch": 13.23,
|
616 |
-
"learning_rate": 2.032258064516129e-05,
|
617 |
-
"loss": 0.0874,
|
618 |
-
"step": 820
|
619 |
-
},
|
620 |
-
{
|
621 |
-
"epoch": 13.39,
|
622 |
-
"learning_rate": 1.9838709677419355e-05,
|
623 |
-
"loss": 0.0894,
|
624 |
-
"step": 830
|
625 |
-
},
|
626 |
-
{
|
627 |
-
"epoch": 13.55,
|
628 |
-
"learning_rate": 1.935483870967742e-05,
|
629 |
-
"loss": 0.0919,
|
630 |
-
"step": 840
|
631 |
-
},
|
632 |
-
{
|
633 |
-
"epoch": 13.71,
|
634 |
-
"learning_rate": 1.8870967741935484e-05,
|
635 |
-
"loss": 0.0899,
|
636 |
-
"step": 850
|
637 |
-
},
|
638 |
-
{
|
639 |
-
"epoch": 13.87,
|
640 |
-
"learning_rate": 1.838709677419355e-05,
|
641 |
-
"loss": 0.0926,
|
642 |
-
"step": 860
|
643 |
-
},
|
644 |
-
{
|
645 |
-
"epoch": 14.0,
|
646 |
-
"eval_f1": 0.5807734806629834,
|
647 |
-
"eval_loss": 0.35069382190704346,
|
648 |
-
"eval_runtime": 2.9589,
|
649 |
-
"eval_samples_per_second": 334.248,
|
650 |
-
"eval_steps_per_second": 10.477,
|
651 |
-
"step": 868
|
652 |
-
},
|
653 |
-
{
|
654 |
-
"epoch": 14.03,
|
655 |
-
"learning_rate": 1.7903225806451616e-05,
|
656 |
-
"loss": 0.0817,
|
657 |
-
"step": 870
|
658 |
-
},
|
659 |
-
{
|
660 |
-
"epoch": 14.19,
|
661 |
-
"learning_rate": 1.741935483870968e-05,
|
662 |
-
"loss": 0.0826,
|
663 |
-
"step": 880
|
664 |
-
},
|
665 |
-
{
|
666 |
-
"epoch": 14.35,
|
667 |
-
"learning_rate": 1.6935483870967744e-05,
|
668 |
-
"loss": 0.0842,
|
669 |
-
"step": 890
|
670 |
-
},
|
671 |
-
{
|
672 |
-
"epoch": 14.52,
|
673 |
-
"learning_rate": 1.6451612903225807e-05,
|
674 |
-
"loss": 0.0824,
|
675 |
-
"step": 900
|
676 |
-
},
|
677 |
-
{
|
678 |
-
"epoch": 14.68,
|
679 |
-
"learning_rate": 1.596774193548387e-05,
|
680 |
-
"loss": 0.0822,
|
681 |
-
"step": 910
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 14.84,
|
685 |
-
"learning_rate": 1.5483870967741936e-05,
|
686 |
-
"loss": 0.0826,
|
687 |
-
"step": 920
|
688 |
-
},
|
689 |
-
{
|
690 |
-
"epoch": 15.0,
|
691 |
-
"learning_rate": 1.5e-05,
|
692 |
-
"loss": 0.0837,
|
693 |
-
"step": 930
|
694 |
-
},
|
695 |
-
{
|
696 |
-
"epoch": 15.0,
|
697 |
-
"eval_f1": 0.5837362637362637,
|
698 |
-
"eval_loss": 0.3567672073841095,
|
699 |
-
"eval_runtime": 2.915,
|
700 |
-
"eval_samples_per_second": 339.279,
|
701 |
-
"eval_steps_per_second": 10.635,
|
702 |
-
"step": 930
|
703 |
-
},
|
704 |
-
{
|
705 |
-
"epoch": 15.16,
|
706 |
-
"learning_rate": 1.4516129032258065e-05,
|
707 |
-
"loss": 0.0781,
|
708 |
-
"step": 940
|
709 |
-
},
|
710 |
-
{
|
711 |
-
"epoch": 15.32,
|
712 |
-
"learning_rate": 1.403225806451613e-05,
|
713 |
-
"loss": 0.0757,
|
714 |
-
"step": 950
|
715 |
-
},
|
716 |
-
{
|
717 |
-
"epoch": 15.48,
|
718 |
-
"learning_rate": 1.3548387096774194e-05,
|
719 |
-
"loss": 0.0766,
|
720 |
-
"step": 960
|
721 |
-
},
|
722 |
-
{
|
723 |
-
"epoch": 15.65,
|
724 |
-
"learning_rate": 1.3064516129032258e-05,
|
725 |
-
"loss": 0.0788,
|
726 |
-
"step": 970
|
727 |
-
},
|
728 |
-
{
|
729 |
-
"epoch": 15.81,
|
730 |
-
"learning_rate": 1.2580645161290324e-05,
|
731 |
-
"loss": 0.0764,
|
732 |
-
"step": 980
|
733 |
-
},
|
734 |
-
{
|
735 |
-
"epoch": 15.97,
|
736 |
-
"learning_rate": 1.2096774193548387e-05,
|
737 |
-
"loss": 0.076,
|
738 |
-
"step": 990
|
739 |
-
},
|
740 |
-
{
|
741 |
-
"epoch": 16.0,
|
742 |
-
"eval_f1": 0.5796391178436178,
|
743 |
-
"eval_loss": 0.3577311336994171,
|
744 |
-
"eval_runtime": 2.8859,
|
745 |
-
"eval_samples_per_second": 342.697,
|
746 |
-
"eval_steps_per_second": 10.742,
|
747 |
-
"step": 992
|
748 |
-
},
|
749 |
-
{
|
750 |
-
"epoch": 16.13,
|
751 |
-
"learning_rate": 1.1612903225806451e-05,
|
752 |
-
"loss": 0.0743,
|
753 |
-
"step": 1000
|
754 |
-
},
|
755 |
-
{
|
756 |
-
"epoch": 16.29,
|
757 |
-
"learning_rate": 1.1129032258064517e-05,
|
758 |
-
"loss": 0.0713,
|
759 |
-
"step": 1010
|
760 |
-
},
|
761 |
-
{
|
762 |
-
"epoch": 16.45,
|
763 |
-
"learning_rate": 1.0645161290322582e-05,
|
764 |
-
"loss": 0.0744,
|
765 |
-
"step": 1020
|
766 |
-
},
|
767 |
-
{
|
768 |
-
"epoch": 16.61,
|
769 |
-
"learning_rate": 1.0161290322580644e-05,
|
770 |
-
"loss": 0.069,
|
771 |
-
"step": 1030
|
772 |
-
},
|
773 |
-
{
|
774 |
-
"epoch": 16.77,
|
775 |
-
"learning_rate": 9.67741935483871e-06,
|
776 |
-
"loss": 0.0742,
|
777 |
-
"step": 1040
|
778 |
-
},
|
779 |
-
{
|
780 |
-
"epoch": 16.94,
|
781 |
-
"learning_rate": 9.193548387096775e-06,
|
782 |
-
"loss": 0.0718,
|
783 |
-
"step": 1050
|
784 |
-
},
|
785 |
-
{
|
786 |
-
"epoch": 17.0,
|
787 |
-
"eval_f1": 0.5815983881799865,
|
788 |
-
"eval_loss": 0.3607926368713379,
|
789 |
-
"eval_runtime": 2.9273,
|
790 |
-
"eval_samples_per_second": 337.857,
|
791 |
-
"eval_steps_per_second": 10.59,
|
792 |
-
"step": 1054
|
793 |
-
},
|
794 |
-
{
|
795 |
-
"epoch": 17.1,
|
796 |
-
"learning_rate": 8.70967741935484e-06,
|
797 |
-
"loss": 0.0704,
|
798 |
-
"step": 1060
|
799 |
-
},
|
800 |
-
{
|
801 |
-
"epoch": 17.26,
|
802 |
-
"learning_rate": 8.225806451612904e-06,
|
803 |
-
"loss": 0.067,
|
804 |
-
"step": 1070
|
805 |
-
},
|
806 |
-
{
|
807 |
-
"epoch": 17.42,
|
808 |
-
"learning_rate": 7.741935483870968e-06,
|
809 |
-
"loss": 0.0709,
|
810 |
-
"step": 1080
|
811 |
-
},
|
812 |
-
{
|
813 |
-
"epoch": 17.58,
|
814 |
-
"learning_rate": 7.258064516129032e-06,
|
815 |
-
"loss": 0.0679,
|
816 |
-
"step": 1090
|
817 |
-
},
|
818 |
-
{
|
819 |
-
"epoch": 17.74,
|
820 |
-
"learning_rate": 6.774193548387097e-06,
|
821 |
-
"loss": 0.071,
|
822 |
-
"step": 1100
|
823 |
-
},
|
824 |
-
{
|
825 |
-
"epoch": 17.9,
|
826 |
-
"learning_rate": 6.290322580645162e-06,
|
827 |
-
"loss": 0.0685,
|
828 |
-
"step": 1110
|
829 |
-
},
|
830 |
-
{
|
831 |
-
"epoch": 18.0,
|
832 |
-
"eval_f1": 0.5815289438798055,
|
833 |
-
"eval_loss": 0.36424893140792847,
|
834 |
-
"eval_runtime": 2.9446,
|
835 |
-
"eval_samples_per_second": 335.873,
|
836 |
-
"eval_steps_per_second": 10.528,
|
837 |
-
"step": 1116
|
838 |
-
},
|
839 |
-
{
|
840 |
-
"epoch": 18.06,
|
841 |
-
"learning_rate": 5.8064516129032256e-06,
|
842 |
-
"loss": 0.0673,
|
843 |
-
"step": 1120
|
844 |
-
},
|
845 |
-
{
|
846 |
-
"epoch": 18.23,
|
847 |
-
"learning_rate": 5.322580645161291e-06,
|
848 |
-
"loss": 0.0666,
|
849 |
-
"step": 1130
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 18.39,
|
853 |
-
"learning_rate": 4.838709677419355e-06,
|
854 |
-
"loss": 0.0663,
|
855 |
-
"step": 1140
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 18.55,
|
859 |
-
"learning_rate": 4.35483870967742e-06,
|
860 |
-
"loss": 0.0669,
|
861 |
-
"step": 1150
|
862 |
-
},
|
863 |
-
{
|
864 |
-
"epoch": 18.71,
|
865 |
-
"learning_rate": 3.870967741935484e-06,
|
866 |
-
"loss": 0.0677,
|
867 |
-
"step": 1160
|
868 |
-
},
|
869 |
-
{
|
870 |
-
"epoch": 18.87,
|
871 |
-
"learning_rate": 3.3870967741935484e-06,
|
872 |
-
"loss": 0.0665,
|
873 |
-
"step": 1170
|
874 |
-
},
|
875 |
-
{
|
876 |
-
"epoch": 19.0,
|
877 |
-
"eval_f1": 0.5837742504409171,
|
878 |
-
"eval_loss": 0.36555004119873047,
|
879 |
-
"eval_runtime": 2.9275,
|
880 |
-
"eval_samples_per_second": 337.836,
|
881 |
-
"eval_steps_per_second": 10.589,
|
882 |
-
"step": 1178
|
883 |
-
},
|
884 |
-
{
|
885 |
-
"epoch": 19.03,
|
886 |
-
"learning_rate": 2.9032258064516128e-06,
|
887 |
-
"loss": 0.0656,
|
888 |
-
"step": 1180
|
889 |
-
},
|
890 |
-
{
|
891 |
-
"epoch": 19.19,
|
892 |
-
"learning_rate": 2.4193548387096776e-06,
|
893 |
-
"loss": 0.063,
|
894 |
-
"step": 1190
|
895 |
-
},
|
896 |
-
{
|
897 |
-
"epoch": 19.35,
|
898 |
-
"learning_rate": 1.935483870967742e-06,
|
899 |
-
"loss": 0.0628,
|
900 |
-
"step": 1200
|
901 |
-
},
|
902 |
-
{
|
903 |
-
"epoch": 19.52,
|
904 |
-
"learning_rate": 1.4516129032258064e-06,
|
905 |
-
"loss": 0.0651,
|
906 |
-
"step": 1210
|
907 |
-
},
|
908 |
-
{
|
909 |
-
"epoch": 19.68,
|
910 |
-
"learning_rate": 9.67741935483871e-07,
|
911 |
-
"loss": 0.0662,
|
912 |
-
"step": 1220
|
913 |
-
},
|
914 |
-
{
|
915 |
-
"epoch": 19.84,
|
916 |
-
"learning_rate": 4.838709677419355e-07,
|
917 |
-
"loss": 0.0636,
|
918 |
-
"step": 1230
|
919 |
-
},
|
920 |
-
{
|
921 |
-
"epoch": 20.0,
|
922 |
-
"learning_rate": 0.0,
|
923 |
-
"loss": 0.0676,
|
924 |
-
"step": 1240
|
925 |
-
},
|
926 |
-
{
|
927 |
-
"epoch": 20.0,
|
928 |
-
"eval_f1": 0.5832229580573952,
|
929 |
-
"eval_loss": 0.3661610186100006,
|
930 |
-
"eval_runtime": 2.9338,
|
931 |
-
"eval_samples_per_second": 337.105,
|
932 |
-
"eval_steps_per_second": 10.566,
|
933 |
-
"step": 1240
|
934 |
-
},
|
935 |
-
{
|
936 |
-
"epoch": 20.0,
|
937 |
-
"step": 1240,
|
938 |
-
"total_flos": 2.082560024604672e+16,
|
939 |
-
"train_loss": 0.14994276651451666,
|
940 |
-
"train_runtime": 1498.2493,
|
941 |
-
"train_samples_per_second": 105.643,
|
942 |
-
"train_steps_per_second": 0.828
|
943 |
}
|
944 |
],
|
945 |
"logging_steps": 10,
|
946 |
-
"max_steps":
|
947 |
-
"num_train_epochs":
|
948 |
"save_steps": 500,
|
949 |
-
"total_flos":
|
950 |
"trial_name": null,
|
951 |
"trial_params": null
|
952 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 310,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.16,
|
13 |
+
"learning_rate": 5.806451612903226e-05,
|
14 |
+
"loss": 0.486,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.32,
|
19 |
+
"learning_rate": 5.612903225806452e-05,
|
20 |
+
"loss": 0.346,
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.48,
|
25 |
+
"learning_rate": 5.4193548387096774e-05,
|
26 |
+
"loss": 0.3352,
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.65,
|
31 |
+
"learning_rate": 5.225806451612903e-05,
|
32 |
+
"loss": 0.3119,
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.81,
|
37 |
+
"learning_rate": 5.0322580645161296e-05,
|
38 |
+
"loss": 0.3066,
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.97,
|
43 |
+
"learning_rate": 4.838709677419355e-05,
|
44 |
+
"loss": 0.3096,
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
"epoch": 1.0,
|
49 |
+
"eval_f1": 0.3706818864523881,
|
50 |
+
"eval_loss": 0.28623858094215393,
|
51 |
+
"eval_runtime": 4.0392,
|
52 |
+
"eval_samples_per_second": 244.852,
|
53 |
+
"eval_steps_per_second": 7.675,
|
54 |
"step": 62
|
55 |
},
|
56 |
{
|
57 |
"epoch": 1.13,
|
58 |
+
"learning_rate": 4.6451612903225805e-05,
|
59 |
+
"loss": 0.3,
|
60 |
"step": 70
|
61 |
},
|
62 |
{
|
63 |
"epoch": 1.29,
|
64 |
+
"learning_rate": 4.451612903225807e-05,
|
65 |
+
"loss": 0.2951,
|
66 |
"step": 80
|
67 |
},
|
68 |
{
|
69 |
"epoch": 1.45,
|
70 |
+
"learning_rate": 4.2580645161290327e-05,
|
71 |
+
"loss": 0.2923,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.61,
|
76 |
+
"learning_rate": 4.064516129032258e-05,
|
77 |
+
"loss": 0.2892,
|
78 |
"step": 100
|
79 |
},
|
80 |
{
|
81 |
"epoch": 1.77,
|
82 |
+
"learning_rate": 3.870967741935484e-05,
|
83 |
+
"loss": 0.2917,
|
84 |
"step": 110
|
85 |
},
|
86 |
{
|
87 |
"epoch": 1.94,
|
88 |
+
"learning_rate": 3.67741935483871e-05,
|
89 |
+
"loss": 0.2863,
|
90 |
"step": 120
|
91 |
},
|
92 |
{
|
93 |
"epoch": 2.0,
|
94 |
+
"eval_f1": 0.44221665274296856,
|
95 |
+
"eval_loss": 0.28044137358665466,
|
96 |
+
"eval_runtime": 4.1947,
|
97 |
+
"eval_samples_per_second": 235.772,
|
98 |
+
"eval_steps_per_second": 7.39,
|
99 |
"step": 124
|
100 |
},
|
101 |
{
|
102 |
"epoch": 2.1,
|
103 |
+
"learning_rate": 3.483870967741936e-05,
|
104 |
+
"loss": 0.2758,
|
105 |
"step": 130
|
106 |
},
|
107 |
{
|
108 |
"epoch": 2.26,
|
109 |
+
"learning_rate": 3.2903225806451614e-05,
|
110 |
+
"loss": 0.2688,
|
111 |
"step": 140
|
112 |
},
|
113 |
{
|
114 |
"epoch": 2.42,
|
115 |
+
"learning_rate": 3.096774193548387e-05,
|
116 |
+
"loss": 0.2708,
|
117 |
"step": 150
|
118 |
},
|
119 |
{
|
120 |
"epoch": 2.58,
|
121 |
+
"learning_rate": 2.903225806451613e-05,
|
122 |
+
"loss": 0.2659,
|
123 |
"step": 160
|
124 |
},
|
125 |
{
|
126 |
"epoch": 2.74,
|
127 |
+
"learning_rate": 2.7096774193548387e-05,
|
128 |
+
"loss": 0.2668,
|
129 |
"step": 170
|
130 |
},
|
131 |
{
|
132 |
"epoch": 2.9,
|
133 |
+
"learning_rate": 2.5161290322580648e-05,
|
134 |
+
"loss": 0.2618,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 3.0,
|
139 |
+
"eval_f1": 0.49894403379091873,
|
140 |
+
"eval_loss": 0.277263343334198,
|
141 |
+
"eval_runtime": 8.3935,
|
142 |
+
"eval_samples_per_second": 117.829,
|
143 |
+
"eval_steps_per_second": 3.693,
|
144 |
"step": 186
|
145 |
},
|
146 |
{
|
147 |
"epoch": 3.06,
|
148 |
+
"learning_rate": 2.3225806451612902e-05,
|
149 |
+
"loss": 0.2612,
|
150 |
"step": 190
|
151 |
},
|
152 |
{
|
153 |
"epoch": 3.23,
|
154 |
+
"learning_rate": 2.1290322580645163e-05,
|
155 |
+
"loss": 0.2461,
|
156 |
"step": 200
|
157 |
},
|
158 |
{
|
159 |
"epoch": 3.39,
|
160 |
+
"learning_rate": 1.935483870967742e-05,
|
161 |
+
"loss": 0.2419,
|
162 |
"step": 210
|
163 |
},
|
164 |
{
|
165 |
"epoch": 3.55,
|
166 |
+
"learning_rate": 1.741935483870968e-05,
|
167 |
+
"loss": 0.2504,
|
168 |
"step": 220
|
169 |
},
|
170 |
{
|
171 |
"epoch": 3.71,
|
172 |
+
"learning_rate": 1.5483870967741936e-05,
|
173 |
+
"loss": 0.2432,
|
174 |
"step": 230
|
175 |
},
|
176 |
{
|
177 |
"epoch": 3.87,
|
178 |
+
"learning_rate": 1.3548387096774194e-05,
|
179 |
+
"loss": 0.2432,
|
180 |
"step": 240
|
181 |
},
|
182 |
{
|
183 |
"epoch": 4.0,
|
184 |
+
"eval_f1": 0.5223157357816883,
|
185 |
+
"eval_loss": 0.27642112970352173,
|
186 |
+
"eval_runtime": 3.9495,
|
187 |
+
"eval_samples_per_second": 250.414,
|
188 |
+
"eval_steps_per_second": 7.849,
|
189 |
"step": 248
|
190 |
},
|
191 |
{
|
192 |
"epoch": 4.03,
|
193 |
+
"learning_rate": 1.1612903225806451e-05,
|
194 |
+
"loss": 0.2335,
|
195 |
"step": 250
|
196 |
},
|
197 |
{
|
198 |
"epoch": 4.19,
|
199 |
+
"learning_rate": 9.67741935483871e-06,
|
200 |
+
"loss": 0.2243,
|
201 |
"step": 260
|
202 |
},
|
203 |
{
|
204 |
"epoch": 4.35,
|
205 |
+
"learning_rate": 7.741935483870968e-06,
|
206 |
+
"loss": 0.2245,
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
"epoch": 4.52,
|
211 |
+
"learning_rate": 5.8064516129032256e-06,
|
212 |
+
"loss": 0.2259,
|
213 |
"step": 280
|
214 |
},
|
215 |
{
|
216 |
"epoch": 4.68,
|
217 |
+
"learning_rate": 3.870967741935484e-06,
|
218 |
+
"loss": 0.2251,
|
219 |
"step": 290
|
220 |
},
|
221 |
{
|
222 |
"epoch": 4.84,
|
223 |
+
"learning_rate": 1.935483870967742e-06,
|
224 |
+
"loss": 0.2249,
|
225 |
"step": 300
|
226 |
},
|
227 |
{
|
228 |
"epoch": 5.0,
|
229 |
+
"learning_rate": 0.0,
|
230 |
+
"loss": 0.2241,
|
231 |
"step": 310
|
232 |
},
|
233 |
{
|
234 |
"epoch": 5.0,
|
235 |
+
"eval_f1": 0.5464019851116626,
|
236 |
+
"eval_loss": 0.27576151490211487,
|
237 |
+
"eval_runtime": 7.713,
|
238 |
+
"eval_samples_per_second": 128.225,
|
239 |
+
"eval_steps_per_second": 4.019,
|
240 |
"step": 310
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 5.0,
|
244 |
+
"step": 310,
|
245 |
+
"total_flos": 1.843925880757248e+16,
|
246 |
+
"train_loss": 0.2750998620064028,
|
247 |
+
"train_runtime": 948.4301,
|
248 |
+
"train_samples_per_second": 41.722,
|
249 |
+
"train_steps_per_second": 0.327
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
250 |
}
|
251 |
],
|
252 |
"logging_steps": 10,
|
253 |
+
"max_steps": 310,
|
254 |
+
"num_train_epochs": 5,
|
255 |
"save_steps": 500,
|
256 |
+
"total_flos": 1.843925880757248e+16,
|
257 |
"trial_name": null,
|
258 |
"trial_params": null
|
259 |
}
|