sedrickkeh
commited on
Commit
•
da5d2cc
1
Parent(s):
f0fcab0
End of training
Browse files- README.md +2 -1
- all_results.json +7 -7
- eval_results.json +4 -4
- train_results.json +3 -3
- trainer_state.json +267 -267
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: OH_DCFT_V3_wo_unnatural_instructions
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# OH_DCFT_V3_wo_unnatural_instructions
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.6454
|
21 |
|
|
|
4 |
base_model: meta-llama/Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: OH_DCFT_V3_wo_unnatural_instructions
|
|
|
16 |
|
17 |
# OH_DCFT_V3_wo_unnatural_instructions
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the mlfoundations-dev/OH_DCFT_V3_wo_unnatural_instructions dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.6454
|
22 |
|
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 50.
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
"total_flos": 2120178393415680.0,
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 17.
|
11 |
"train_steps_per_second": 0.033
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
+
"eval_loss": 0.6453979015350342,
|
4 |
+
"eval_runtime": 225.6683,
|
5 |
+
"eval_samples_per_second": 50.459,
|
6 |
+
"eval_steps_per_second": 0.394,
|
7 |
"total_flos": 2120178393415680.0,
|
8 |
+
"train_loss": 0.6197805719164687,
|
9 |
+
"train_runtime": 38167.6556,
|
10 |
+
"train_samples_per_second": 17.005,
|
11 |
"train_steps_per_second": 0.033
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second": 50.
|
6 |
-
"eval_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
+
"eval_loss": 0.6453979015350342,
|
4 |
+
"eval_runtime": 225.6683,
|
5 |
+
"eval_samples_per_second": 50.459,
|
6 |
+
"eval_steps_per_second": 0.394
|
7 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
"total_flos": 2120178393415680.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 17.
|
7 |
"train_steps_per_second": 0.033
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.9946777054997042,
|
3 |
"total_flos": 2120178393415680.0,
|
4 |
+
"train_loss": 0.6197805719164687,
|
5 |
+
"train_runtime": 38167.6556,
|
6 |
+
"train_samples_per_second": 17.005,
|
7 |
"train_steps_per_second": 0.033
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,917 +10,917 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02365464222353637,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 5e-06,
|
15 |
-
"loss": 0.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.04730928444707274,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 5e-06,
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.0709639266706091,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 5e-06,
|
29 |
-
"loss": 0.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.09461856889414548,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 5e-06,
|
36 |
-
"loss": 0.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.11827321111768184,
|
41 |
-
"grad_norm":
|
42 |
"learning_rate": 5e-06,
|
43 |
-
"loss": 0.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.1419278533412182,
|
48 |
-
"grad_norm":
|
49 |
"learning_rate": 5e-06,
|
50 |
-
"loss": 0.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.16558249556475457,
|
55 |
-
"grad_norm": 0.
|
56 |
"learning_rate": 5e-06,
|
57 |
-
"loss": 0.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.18923713778829096,
|
62 |
-
"grad_norm": 0.
|
63 |
"learning_rate": 5e-06,
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.21289178001182732,
|
69 |
-
"grad_norm": 0.
|
70 |
"learning_rate": 5e-06,
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.23654642223536368,
|
76 |
-
"grad_norm": 0.
|
77 |
"learning_rate": 5e-06,
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.26020106445890007,
|
83 |
-
"grad_norm": 0.
|
84 |
"learning_rate": 5e-06,
|
85 |
-
"loss": 0.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.2838557066824364,
|
90 |
-
"grad_norm":
|
91 |
"learning_rate": 5e-06,
|
92 |
-
"loss": 0.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.3075103489059728,
|
97 |
-
"grad_norm": 0.
|
98 |
"learning_rate": 5e-06,
|
99 |
-
"loss": 0.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.33116499112950915,
|
104 |
-
"grad_norm": 0.
|
105 |
"learning_rate": 5e-06,
|
106 |
-
"loss": 0.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.35481963335304556,
|
111 |
-
"grad_norm": 0.
|
112 |
"learning_rate": 5e-06,
|
113 |
-
"loss": 0.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.3784742755765819,
|
118 |
-
"grad_norm": 0.
|
119 |
"learning_rate": 5e-06,
|
120 |
-
"loss": 0.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4021289178001183,
|
125 |
-
"grad_norm": 0.
|
126 |
"learning_rate": 5e-06,
|
127 |
-
"loss": 0.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.42578356002365464,
|
132 |
-
"grad_norm": 0.
|
133 |
"learning_rate": 5e-06,
|
134 |
-
"loss": 0.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.449438202247191,
|
139 |
-
"grad_norm":
|
140 |
"learning_rate": 5e-06,
|
141 |
-
"loss": 0.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.47309284447072736,
|
146 |
-
"grad_norm": 0.
|
147 |
"learning_rate": 5e-06,
|
148 |
-
"loss": 0.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.4967474866942638,
|
153 |
-
"grad_norm": 0.
|
154 |
"learning_rate": 5e-06,
|
155 |
-
"loss": 0.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.5204021289178001,
|
160 |
-
"grad_norm": 0.
|
161 |
"learning_rate": 5e-06,
|
162 |
-
"loss": 0.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.5440567711413364,
|
167 |
-
"grad_norm": 0.
|
168 |
"learning_rate": 5e-06,
|
169 |
-
"loss": 0.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.5677114133648729,
|
174 |
-
"grad_norm": 0.
|
175 |
"learning_rate": 5e-06,
|
176 |
-
"loss": 0.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.5913660555884093,
|
181 |
-
"grad_norm": 0.
|
182 |
"learning_rate": 5e-06,
|
183 |
-
"loss": 0.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.6150206978119456,
|
188 |
-
"grad_norm": 0.
|
189 |
"learning_rate": 5e-06,
|
190 |
-
"loss": 0.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.638675340035482,
|
195 |
-
"grad_norm": 0.
|
196 |
"learning_rate": 5e-06,
|
197 |
-
"loss": 0.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.6623299822590183,
|
202 |
-
"grad_norm": 0.
|
203 |
"learning_rate": 5e-06,
|
204 |
-
"loss": 0.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.6859846244825547,
|
209 |
-
"grad_norm": 0.
|
210 |
"learning_rate": 5e-06,
|
211 |
-
"loss": 0.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.7096392667060911,
|
216 |
-
"grad_norm": 0.
|
217 |
"learning_rate": 5e-06,
|
218 |
-
"loss": 0.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.7332939089296274,
|
223 |
-
"grad_norm": 0.
|
224 |
"learning_rate": 5e-06,
|
225 |
-
"loss": 0.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.7569485511531638,
|
230 |
-
"grad_norm": 0.
|
231 |
"learning_rate": 5e-06,
|
232 |
-
"loss": 0.
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.7806031933767001,
|
237 |
-
"grad_norm": 0.
|
238 |
"learning_rate": 5e-06,
|
239 |
-
"loss": 0.
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.8042578356002366,
|
244 |
-
"grad_norm": 0.
|
245 |
"learning_rate": 5e-06,
|
246 |
-
"loss": 0.
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.8279124778237729,
|
251 |
-
"grad_norm": 0.
|
252 |
"learning_rate": 5e-06,
|
253 |
-
"loss": 0.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.8515671200473093,
|
258 |
-
"grad_norm": 0.
|
259 |
"learning_rate": 5e-06,
|
260 |
-
"loss": 0.
|
261 |
"step": 360
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.8752217622708457,
|
265 |
-
"grad_norm": 0.
|
266 |
"learning_rate": 5e-06,
|
267 |
-
"loss": 0.
|
268 |
"step": 370
|
269 |
},
|
270 |
{
|
271 |
"epoch": 0.898876404494382,
|
272 |
-
"grad_norm": 0.
|
273 |
"learning_rate": 5e-06,
|
274 |
-
"loss": 0.
|
275 |
"step": 380
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.9225310467179184,
|
279 |
-
"grad_norm": 0.
|
280 |
"learning_rate": 5e-06,
|
281 |
-
"loss": 0.
|
282 |
"step": 390
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.9461856889414547,
|
286 |
-
"grad_norm": 0.
|
287 |
"learning_rate": 5e-06,
|
288 |
-
"loss": 0.
|
289 |
"step": 400
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.9698403311649911,
|
293 |
-
"grad_norm": 0.
|
294 |
"learning_rate": 5e-06,
|
295 |
-
"loss": 0.
|
296 |
"step": 410
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.9934949733885275,
|
300 |
-
"grad_norm": 0.
|
301 |
"learning_rate": 5e-06,
|
302 |
-
"loss": 0.
|
303 |
"step": 420
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.9982259018332348,
|
307 |
-
"eval_loss": 0.
|
308 |
-
"eval_runtime":
|
309 |
-
"eval_samples_per_second": 50.
|
310 |
-
"eval_steps_per_second": 0.
|
311 |
"step": 422
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.0171496156120639,
|
315 |
-
"grad_norm": 0.
|
316 |
"learning_rate": 5e-06,
|
317 |
-
"loss": 0.
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.0408042578356003,
|
322 |
-
"grad_norm": 0.
|
323 |
"learning_rate": 5e-06,
|
324 |
-
"loss": 0.
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.0644589000591367,
|
329 |
-
"grad_norm": 0.
|
330 |
"learning_rate": 5e-06,
|
331 |
-
"loss": 0.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.0881135422826729,
|
336 |
-
"grad_norm": 0.
|
337 |
"learning_rate": 5e-06,
|
338 |
-
"loss": 0.
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.1117681845062093,
|
343 |
-
"grad_norm": 0.
|
344 |
"learning_rate": 5e-06,
|
345 |
-
"loss": 0.
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.1354228267297457,
|
350 |
-
"grad_norm": 0.
|
351 |
"learning_rate": 5e-06,
|
352 |
-
"loss": 0.
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.1590774689532821,
|
357 |
-
"grad_norm": 0.
|
358 |
"learning_rate": 5e-06,
|
359 |
-
"loss": 0.
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.1827321111768185,
|
364 |
-
"grad_norm": 0.
|
365 |
"learning_rate": 5e-06,
|
366 |
-
"loss": 0.
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.2063867534003547,
|
371 |
-
"grad_norm": 0.
|
372 |
"learning_rate": 5e-06,
|
373 |
-
"loss": 0.
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.2300413956238911,
|
378 |
-
"grad_norm": 0.
|
379 |
"learning_rate": 5e-06,
|
380 |
-
"loss": 0.
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.2536960378474276,
|
385 |
-
"grad_norm": 0.
|
386 |
"learning_rate": 5e-06,
|
387 |
-
"loss": 0.
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.277350680070964,
|
392 |
-
"grad_norm": 0.
|
393 |
"learning_rate": 5e-06,
|
394 |
-
"loss": 0.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.3010053222945004,
|
399 |
-
"grad_norm": 0.
|
400 |
"learning_rate": 5e-06,
|
401 |
-
"loss": 0.
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.3246599645180366,
|
406 |
-
"grad_norm": 0.
|
407 |
"learning_rate": 5e-06,
|
408 |
-
"loss": 0.
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.348314606741573,
|
413 |
-
"grad_norm": 0.
|
414 |
"learning_rate": 5e-06,
|
415 |
-
"loss": 0.
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.3719692489651094,
|
420 |
-
"grad_norm": 0.
|
421 |
"learning_rate": 5e-06,
|
422 |
-
"loss": 0.
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.3956238911886458,
|
427 |
-
"grad_norm": 0.
|
428 |
"learning_rate": 5e-06,
|
429 |
-
"loss": 0.
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.4192785334121822,
|
434 |
-
"grad_norm": 0.
|
435 |
"learning_rate": 5e-06,
|
436 |
-
"loss": 0.
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.4429331756357184,
|
441 |
-
"grad_norm": 0.
|
442 |
"learning_rate": 5e-06,
|
443 |
-
"loss": 0.
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.4665878178592548,
|
448 |
-
"grad_norm": 0.
|
449 |
"learning_rate": 5e-06,
|
450 |
-
"loss": 0.
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.4902424600827913,
|
455 |
-
"grad_norm": 0.
|
456 |
"learning_rate": 5e-06,
|
457 |
-
"loss": 0.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.5138971023063275,
|
462 |
-
"grad_norm": 0.
|
463 |
"learning_rate": 5e-06,
|
464 |
-
"loss": 0.
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.537551744529864,
|
469 |
-
"grad_norm": 0.
|
470 |
"learning_rate": 5e-06,
|
471 |
-
"loss": 0.
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.5612063867534003,
|
476 |
-
"grad_norm": 0.
|
477 |
"learning_rate": 5e-06,
|
478 |
-
"loss": 0.
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.5848610289769367,
|
483 |
-
"grad_norm": 0.
|
484 |
"learning_rate": 5e-06,
|
485 |
-
"loss": 0.
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.6085156712004731,
|
490 |
-
"grad_norm": 0.
|
491 |
"learning_rate": 5e-06,
|
492 |
-
"loss": 0.
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.6321703134240093,
|
497 |
-
"grad_norm": 0.
|
498 |
"learning_rate": 5e-06,
|
499 |
-
"loss": 0.
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 1.655824955647546,
|
504 |
-
"grad_norm": 0.
|
505 |
"learning_rate": 5e-06,
|
506 |
-
"loss": 0.
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 1.6794795978710821,
|
511 |
-
"grad_norm": 0.
|
512 |
"learning_rate": 5e-06,
|
513 |
-
"loss": 0.
|
514 |
"step": 710
|
515 |
},
|
516 |
{
|
517 |
"epoch": 1.7031342400946186,
|
518 |
-
"grad_norm": 0.
|
519 |
"learning_rate": 5e-06,
|
520 |
-
"loss": 0.
|
521 |
"step": 720
|
522 |
},
|
523 |
{
|
524 |
"epoch": 1.726788882318155,
|
525 |
-
"grad_norm": 0.
|
526 |
"learning_rate": 5e-06,
|
527 |
-
"loss": 0.
|
528 |
"step": 730
|
529 |
},
|
530 |
{
|
531 |
"epoch": 1.7504435245416912,
|
532 |
-
"grad_norm": 0.
|
533 |
"learning_rate": 5e-06,
|
534 |
-
"loss": 0.
|
535 |
"step": 740
|
536 |
},
|
537 |
{
|
538 |
"epoch": 1.7740981667652278,
|
539 |
-
"grad_norm": 0.
|
540 |
"learning_rate": 5e-06,
|
541 |
-
"loss": 0.
|
542 |
"step": 750
|
543 |
},
|
544 |
{
|
545 |
"epoch": 1.797752808988764,
|
546 |
-
"grad_norm": 0.
|
547 |
"learning_rate": 5e-06,
|
548 |
-
"loss": 0.
|
549 |
"step": 760
|
550 |
},
|
551 |
{
|
552 |
"epoch": 1.8214074512123004,
|
553 |
-
"grad_norm": 0.
|
554 |
"learning_rate": 5e-06,
|
555 |
-
"loss": 0.
|
556 |
"step": 770
|
557 |
},
|
558 |
{
|
559 |
"epoch": 1.8450620934358368,
|
560 |
-
"grad_norm": 0.
|
561 |
"learning_rate": 5e-06,
|
562 |
-
"loss": 0.
|
563 |
"step": 780
|
564 |
},
|
565 |
{
|
566 |
"epoch": 1.868716735659373,
|
567 |
-
"grad_norm": 0.
|
568 |
"learning_rate": 5e-06,
|
569 |
-
"loss": 0.
|
570 |
"step": 790
|
571 |
},
|
572 |
{
|
573 |
"epoch": 1.8923713778829097,
|
574 |
-
"grad_norm": 0.
|
575 |
"learning_rate": 5e-06,
|
576 |
-
"loss": 0.
|
577 |
"step": 800
|
578 |
},
|
579 |
{
|
580 |
"epoch": 1.9160260201064458,
|
581 |
-
"grad_norm": 0.
|
582 |
"learning_rate": 5e-06,
|
583 |
-
"loss": 0.
|
584 |
"step": 810
|
585 |
},
|
586 |
{
|
587 |
"epoch": 1.9396806623299823,
|
588 |
-
"grad_norm": 0.
|
589 |
"learning_rate": 5e-06,
|
590 |
-
"loss": 0.
|
591 |
"step": 820
|
592 |
},
|
593 |
{
|
594 |
"epoch": 1.9633353045535187,
|
595 |
-
"grad_norm": 0.
|
596 |
"learning_rate": 5e-06,
|
597 |
-
"loss": 0.
|
598 |
"step": 830
|
599 |
},
|
600 |
{
|
601 |
"epoch": 1.9869899467770549,
|
602 |
-
"grad_norm": 0.
|
603 |
"learning_rate": 5e-06,
|
604 |
-
"loss": 0.
|
605 |
"step": 840
|
606 |
},
|
607 |
{
|
608 |
"epoch": 1.9988172678888232,
|
609 |
-
"eval_loss": 0.
|
610 |
-
"eval_runtime":
|
611 |
-
"eval_samples_per_second": 50.
|
612 |
-
"eval_steps_per_second": 0.
|
613 |
"step": 845
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.0106445890005915,
|
617 |
-
"grad_norm": 0.
|
618 |
"learning_rate": 5e-06,
|
619 |
-
"loss": 0.
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.0342992312241277,
|
624 |
-
"grad_norm": 0.
|
625 |
"learning_rate": 5e-06,
|
626 |
-
"loss": 0.
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.057953873447664,
|
631 |
-
"grad_norm": 0.
|
632 |
"learning_rate": 5e-06,
|
633 |
-
"loss": 0.
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.0816085156712005,
|
638 |
-
"grad_norm": 0.
|
639 |
"learning_rate": 5e-06,
|
640 |
-
"loss": 0.
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.1052631578947367,
|
645 |
-
"grad_norm": 0.
|
646 |
"learning_rate": 5e-06,
|
647 |
-
"loss": 0.
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.1289178001182734,
|
652 |
-
"grad_norm": 0.
|
653 |
"learning_rate": 5e-06,
|
654 |
-
"loss": 0.
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.1525724423418096,
|
659 |
-
"grad_norm": 0.
|
660 |
"learning_rate": 5e-06,
|
661 |
-
"loss": 0.
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.1762270845653457,
|
666 |
-
"grad_norm": 0.
|
667 |
"learning_rate": 5e-06,
|
668 |
-
"loss": 0.
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.1998817267888824,
|
673 |
-
"grad_norm": 0.
|
674 |
"learning_rate": 5e-06,
|
675 |
-
"loss": 0.
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.2235363690124186,
|
680 |
-
"grad_norm": 0.
|
681 |
"learning_rate": 5e-06,
|
682 |
-
"loss": 0.
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.247191011235955,
|
687 |
-
"grad_norm": 0.
|
688 |
"learning_rate": 5e-06,
|
689 |
-
"loss": 0.
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.2708456534594914,
|
694 |
-
"grad_norm": 0.
|
695 |
"learning_rate": 5e-06,
|
696 |
-
"loss": 0.
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.2945002956830276,
|
701 |
-
"grad_norm": 0.
|
702 |
"learning_rate": 5e-06,
|
703 |
-
"loss": 0.
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.3181549379065642,
|
708 |
-
"grad_norm": 0.
|
709 |
"learning_rate": 5e-06,
|
710 |
-
"loss": 0.
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.3418095801301004,
|
715 |
-
"grad_norm": 0.
|
716 |
"learning_rate": 5e-06,
|
717 |
-
"loss": 0.
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.365464222353637,
|
722 |
-
"grad_norm": 0.
|
723 |
"learning_rate": 5e-06,
|
724 |
-
"loss": 0.
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.3891188645771733,
|
729 |
-
"grad_norm": 0.
|
730 |
"learning_rate": 5e-06,
|
731 |
-
"loss": 0.
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.4127735068007095,
|
736 |
-
"grad_norm": 0.
|
737 |
"learning_rate": 5e-06,
|
738 |
-
"loss": 0.
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.436428149024246,
|
743 |
-
"grad_norm": 0.
|
744 |
"learning_rate": 5e-06,
|
745 |
-
"loss": 0.
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.4600827912477823,
|
750 |
-
"grad_norm": 0.
|
751 |
"learning_rate": 5e-06,
|
752 |
-
"loss": 0.
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 2.483737433471319,
|
757 |
-
"grad_norm": 0.
|
758 |
"learning_rate": 5e-06,
|
759 |
-
"loss": 0.
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 2.507392075694855,
|
764 |
-
"grad_norm": 0.
|
765 |
"learning_rate": 5e-06,
|
766 |
-
"loss": 0.
|
767 |
"step": 1060
|
768 |
},
|
769 |
{
|
770 |
"epoch": 2.5310467179183913,
|
771 |
-
"grad_norm": 0.
|
772 |
"learning_rate": 5e-06,
|
773 |
-
"loss": 0.
|
774 |
"step": 1070
|
775 |
},
|
776 |
{
|
777 |
"epoch": 2.554701360141928,
|
778 |
-
"grad_norm": 0.
|
779 |
"learning_rate": 5e-06,
|
780 |
-
"loss": 0.
|
781 |
"step": 1080
|
782 |
},
|
783 |
{
|
784 |
"epoch": 2.578356002365464,
|
785 |
-
"grad_norm": 0.
|
786 |
"learning_rate": 5e-06,
|
787 |
-
"loss": 0.
|
788 |
"step": 1090
|
789 |
},
|
790 |
{
|
791 |
"epoch": 2.6020106445890008,
|
792 |
-
"grad_norm": 0.
|
793 |
"learning_rate": 5e-06,
|
794 |
-
"loss": 0.
|
795 |
"step": 1100
|
796 |
},
|
797 |
{
|
798 |
"epoch": 2.625665286812537,
|
799 |
-
"grad_norm": 0.
|
800 |
"learning_rate": 5e-06,
|
801 |
-
"loss": 0.
|
802 |
"step": 1110
|
803 |
},
|
804 |
{
|
805 |
"epoch": 2.649319929036073,
|
806 |
-
"grad_norm": 0.
|
807 |
"learning_rate": 5e-06,
|
808 |
-
"loss": 0.
|
809 |
"step": 1120
|
810 |
},
|
811 |
{
|
812 |
"epoch": 2.67297457125961,
|
813 |
-
"grad_norm": 0.
|
814 |
"learning_rate": 5e-06,
|
815 |
-
"loss": 0.
|
816 |
"step": 1130
|
817 |
},
|
818 |
{
|
819 |
"epoch": 2.696629213483146,
|
820 |
-
"grad_norm": 0.
|
821 |
"learning_rate": 5e-06,
|
822 |
-
"loss": 0.
|
823 |
"step": 1140
|
824 |
},
|
825 |
{
|
826 |
"epoch": 2.7202838557066826,
|
827 |
-
"grad_norm": 0.
|
828 |
"learning_rate": 5e-06,
|
829 |
-
"loss": 0.
|
830 |
"step": 1150
|
831 |
},
|
832 |
{
|
833 |
"epoch": 2.743938497930219,
|
834 |
-
"grad_norm": 0.
|
835 |
"learning_rate": 5e-06,
|
836 |
-
"loss": 0.
|
837 |
"step": 1160
|
838 |
},
|
839 |
{
|
840 |
"epoch": 2.767593140153755,
|
841 |
-
"grad_norm": 0.
|
842 |
"learning_rate": 5e-06,
|
843 |
-
"loss": 0.
|
844 |
"step": 1170
|
845 |
},
|
846 |
{
|
847 |
"epoch": 2.7912477823772917,
|
848 |
-
"grad_norm": 0.
|
849 |
"learning_rate": 5e-06,
|
850 |
-
"loss": 0.
|
851 |
"step": 1180
|
852 |
},
|
853 |
{
|
854 |
"epoch": 2.814902424600828,
|
855 |
-
"grad_norm": 0.
|
856 |
"learning_rate": 5e-06,
|
857 |
-
"loss": 0.
|
858 |
"step": 1190
|
859 |
},
|
860 |
{
|
861 |
"epoch": 2.8385570668243645,
|
862 |
-
"grad_norm": 0.
|
863 |
"learning_rate": 5e-06,
|
864 |
-
"loss": 0.
|
865 |
"step": 1200
|
866 |
},
|
867 |
{
|
868 |
"epoch": 2.8622117090479007,
|
869 |
-
"grad_norm": 0.
|
870 |
"learning_rate": 5e-06,
|
871 |
-
"loss": 0.
|
872 |
"step": 1210
|
873 |
},
|
874 |
{
|
875 |
"epoch": 2.885866351271437,
|
876 |
-
"grad_norm": 0.
|
877 |
"learning_rate": 5e-06,
|
878 |
-
"loss": 0.
|
879 |
"step": 1220
|
880 |
},
|
881 |
{
|
882 |
"epoch": 2.9095209934949735,
|
883 |
-
"grad_norm": 0.
|
884 |
"learning_rate": 5e-06,
|
885 |
-
"loss": 0.
|
886 |
"step": 1230
|
887 |
},
|
888 |
{
|
889 |
"epoch": 2.9331756357185097,
|
890 |
-
"grad_norm": 0.
|
891 |
"learning_rate": 5e-06,
|
892 |
-
"loss": 0.
|
893 |
"step": 1240
|
894 |
},
|
895 |
{
|
896 |
"epoch": 2.9568302779420463,
|
897 |
-
"grad_norm": 0.
|
898 |
"learning_rate": 5e-06,
|
899 |
-
"loss": 0.
|
900 |
"step": 1250
|
901 |
},
|
902 |
{
|
903 |
"epoch": 2.9804849201655825,
|
904 |
-
"grad_norm": 0.
|
905 |
"learning_rate": 5e-06,
|
906 |
-
"loss": 0.
|
907 |
"step": 1260
|
908 |
},
|
909 |
{
|
910 |
"epoch": 2.9946777054997042,
|
911 |
-
"eval_loss": 0.
|
912 |
-
"eval_runtime":
|
913 |
-
"eval_samples_per_second": 50.
|
914 |
-
"eval_steps_per_second": 0.
|
915 |
"step": 1266
|
916 |
},
|
917 |
{
|
918 |
"epoch": 2.9946777054997042,
|
919 |
"step": 1266,
|
920 |
"total_flos": 2120178393415680.0,
|
921 |
-
"train_loss": 0.
|
922 |
-
"train_runtime":
|
923 |
-
"train_samples_per_second": 17.
|
924 |
"train_steps_per_second": 0.033
|
925 |
}
|
926 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.02365464222353637,
|
13 |
+
"grad_norm": 4.438574633904732,
|
14 |
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.8864,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.04730928444707274,
|
20 |
+
"grad_norm": 3.743436107422786,
|
21 |
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.7865,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.0709639266706091,
|
27 |
+
"grad_norm": 1.3773266130731683,
|
28 |
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.7718,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.09461856889414548,
|
34 |
+
"grad_norm": 1.0328014979269187,
|
35 |
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.7321,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.11827321111768184,
|
41 |
+
"grad_norm": 0.9419322611015702,
|
42 |
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.7263,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.1419278533412182,
|
48 |
+
"grad_norm": 1.0108429467163185,
|
49 |
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.7095,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.16558249556475457,
|
55 |
+
"grad_norm": 0.7116397296212089,
|
56 |
"learning_rate": 5e-06,
|
57 |
+
"loss": 0.7076,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.18923713778829096,
|
62 |
+
"grad_norm": 0.6226004481870809,
|
63 |
"learning_rate": 5e-06,
|
64 |
+
"loss": 0.6923,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.21289178001182732,
|
69 |
+
"grad_norm": 0.7788334547916798,
|
70 |
"learning_rate": 5e-06,
|
71 |
+
"loss": 0.6939,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.23654642223536368,
|
76 |
+
"grad_norm": 0.5579006889125326,
|
77 |
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.6916,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.26020106445890007,
|
83 |
+
"grad_norm": 0.8348224630921526,
|
84 |
"learning_rate": 5e-06,
|
85 |
+
"loss": 0.6841,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.2838557066824364,
|
90 |
+
"grad_norm": 1.0981466464621934,
|
91 |
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.6822,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.3075103489059728,
|
97 |
+
"grad_norm": 0.8917486118802607,
|
98 |
"learning_rate": 5e-06,
|
99 |
+
"loss": 0.6761,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.33116499112950915,
|
104 |
+
"grad_norm": 0.6543556998725211,
|
105 |
"learning_rate": 5e-06,
|
106 |
+
"loss": 0.6715,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.35481963335304556,
|
111 |
+
"grad_norm": 0.8125188565799322,
|
112 |
"learning_rate": 5e-06,
|
113 |
+
"loss": 0.6773,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.3784742755765819,
|
118 |
+
"grad_norm": 0.5688602721338011,
|
119 |
"learning_rate": 5e-06,
|
120 |
+
"loss": 0.674,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.4021289178001183,
|
125 |
+
"grad_norm": 0.491756225050921,
|
126 |
"learning_rate": 5e-06,
|
127 |
+
"loss": 0.6815,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.42578356002365464,
|
132 |
+
"grad_norm": 0.6509377411475789,
|
133 |
"learning_rate": 5e-06,
|
134 |
+
"loss": 0.669,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.449438202247191,
|
139 |
+
"grad_norm": 0.6207735885705108,
|
140 |
"learning_rate": 5e-06,
|
141 |
+
"loss": 0.6755,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.47309284447072736,
|
146 |
+
"grad_norm": 0.528808960645126,
|
147 |
"learning_rate": 5e-06,
|
148 |
+
"loss": 0.6674,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.4967474866942638,
|
153 |
+
"grad_norm": 0.8472585224068009,
|
154 |
"learning_rate": 5e-06,
|
155 |
+
"loss": 0.6637,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.5204021289178001,
|
160 |
+
"grad_norm": 0.5848774410670773,
|
161 |
"learning_rate": 5e-06,
|
162 |
+
"loss": 0.6681,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.5440567711413364,
|
167 |
+
"grad_norm": 0.6344280914148243,
|
168 |
"learning_rate": 5e-06,
|
169 |
+
"loss": 0.6675,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.5677114133648729,
|
174 |
+
"grad_norm": 0.7485250474806475,
|
175 |
"learning_rate": 5e-06,
|
176 |
+
"loss": 0.6549,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.5913660555884093,
|
181 |
+
"grad_norm": 0.7332796111883003,
|
182 |
"learning_rate": 5e-06,
|
183 |
+
"loss": 0.6693,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.6150206978119456,
|
188 |
+
"grad_norm": 0.5097881381268425,
|
189 |
"learning_rate": 5e-06,
|
190 |
+
"loss": 0.6603,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.638675340035482,
|
195 |
+
"grad_norm": 0.49176638410796597,
|
196 |
"learning_rate": 5e-06,
|
197 |
+
"loss": 0.6697,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.6623299822590183,
|
202 |
+
"grad_norm": 0.4404068786810332,
|
203 |
"learning_rate": 5e-06,
|
204 |
+
"loss": 0.6547,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.6859846244825547,
|
209 |
+
"grad_norm": 0.45956579197536424,
|
210 |
"learning_rate": 5e-06,
|
211 |
+
"loss": 0.6617,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.7096392667060911,
|
216 |
+
"grad_norm": 0.5489471352518822,
|
217 |
"learning_rate": 5e-06,
|
218 |
+
"loss": 0.65,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.7332939089296274,
|
223 |
+
"grad_norm": 0.5071925000559494,
|
224 |
"learning_rate": 5e-06,
|
225 |
+
"loss": 0.6639,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.7569485511531638,
|
230 |
+
"grad_norm": 0.4479532221316009,
|
231 |
"learning_rate": 5e-06,
|
232 |
+
"loss": 0.6638,
|
233 |
"step": 320
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.7806031933767001,
|
237 |
+
"grad_norm": 0.5768991016278898,
|
238 |
"learning_rate": 5e-06,
|
239 |
+
"loss": 0.6601,
|
240 |
"step": 330
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.8042578356002366,
|
244 |
+
"grad_norm": 0.47440990509293773,
|
245 |
"learning_rate": 5e-06,
|
246 |
+
"loss": 0.6457,
|
247 |
"step": 340
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.8279124778237729,
|
251 |
+
"grad_norm": 0.5535872360742707,
|
252 |
"learning_rate": 5e-06,
|
253 |
+
"loss": 0.6552,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 0.8515671200473093,
|
258 |
+
"grad_norm": 0.5692309710225549,
|
259 |
"learning_rate": 5e-06,
|
260 |
+
"loss": 0.6533,
|
261 |
"step": 360
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.8752217622708457,
|
265 |
+
"grad_norm": 0.477161966378483,
|
266 |
"learning_rate": 5e-06,
|
267 |
+
"loss": 0.6538,
|
268 |
"step": 370
|
269 |
},
|
270 |
{
|
271 |
"epoch": 0.898876404494382,
|
272 |
+
"grad_norm": 0.5742339288892304,
|
273 |
"learning_rate": 5e-06,
|
274 |
+
"loss": 0.6576,
|
275 |
"step": 380
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.9225310467179184,
|
279 |
+
"grad_norm": 0.6276883665595651,
|
280 |
"learning_rate": 5e-06,
|
281 |
+
"loss": 0.6524,
|
282 |
"step": 390
|
283 |
},
|
284 |
{
|
285 |
"epoch": 0.9461856889414547,
|
286 |
+
"grad_norm": 0.5739867998426434,
|
287 |
"learning_rate": 5e-06,
|
288 |
+
"loss": 0.645,
|
289 |
"step": 400
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.9698403311649911,
|
293 |
+
"grad_norm": 0.6714991896688636,
|
294 |
"learning_rate": 5e-06,
|
295 |
+
"loss": 0.6552,
|
296 |
"step": 410
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.9934949733885275,
|
300 |
+
"grad_norm": 0.5532850958647405,
|
301 |
"learning_rate": 5e-06,
|
302 |
+
"loss": 0.6528,
|
303 |
"step": 420
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.9982259018332348,
|
307 |
+
"eval_loss": 0.6549943685531616,
|
308 |
+
"eval_runtime": 226.5831,
|
309 |
+
"eval_samples_per_second": 50.255,
|
310 |
+
"eval_steps_per_second": 0.393,
|
311 |
"step": 422
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.0171496156120639,
|
315 |
+
"grad_norm": 0.6577034498689445,
|
316 |
"learning_rate": 5e-06,
|
317 |
+
"loss": 0.6186,
|
318 |
"step": 430
|
319 |
},
|
320 |
{
|
321 |
"epoch": 1.0408042578356003,
|
322 |
+
"grad_norm": 0.6919211184212087,
|
323 |
"learning_rate": 5e-06,
|
324 |
+
"loss": 0.611,
|
325 |
"step": 440
|
326 |
},
|
327 |
{
|
328 |
"epoch": 1.0644589000591367,
|
329 |
+
"grad_norm": 0.49818432774881954,
|
330 |
"learning_rate": 5e-06,
|
331 |
+
"loss": 0.6094,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.0881135422826729,
|
336 |
+
"grad_norm": 0.5304613381757841,
|
337 |
"learning_rate": 5e-06,
|
338 |
+
"loss": 0.6118,
|
339 |
"step": 460
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.1117681845062093,
|
343 |
+
"grad_norm": 0.5661240677080396,
|
344 |
"learning_rate": 5e-06,
|
345 |
+
"loss": 0.6069,
|
346 |
"step": 470
|
347 |
},
|
348 |
{
|
349 |
"epoch": 1.1354228267297457,
|
350 |
+
"grad_norm": 0.4725657759678031,
|
351 |
"learning_rate": 5e-06,
|
352 |
+
"loss": 0.6081,
|
353 |
"step": 480
|
354 |
},
|
355 |
{
|
356 |
"epoch": 1.1590774689532821,
|
357 |
+
"grad_norm": 0.5348982555181953,
|
358 |
"learning_rate": 5e-06,
|
359 |
+
"loss": 0.608,
|
360 |
"step": 490
|
361 |
},
|
362 |
{
|
363 |
"epoch": 1.1827321111768185,
|
364 |
+
"grad_norm": 0.7009257467225577,
|
365 |
"learning_rate": 5e-06,
|
366 |
+
"loss": 0.6107,
|
367 |
"step": 500
|
368 |
},
|
369 |
{
|
370 |
"epoch": 1.2063867534003547,
|
371 |
+
"grad_norm": 0.516755234113577,
|
372 |
"learning_rate": 5e-06,
|
373 |
+
"loss": 0.6145,
|
374 |
"step": 510
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.2300413956238911,
|
378 |
+
"grad_norm": 0.5565870238553596,
|
379 |
"learning_rate": 5e-06,
|
380 |
+
"loss": 0.6064,
|
381 |
"step": 520
|
382 |
},
|
383 |
{
|
384 |
"epoch": 1.2536960378474276,
|
385 |
+
"grad_norm": 0.5176934237005286,
|
386 |
"learning_rate": 5e-06,
|
387 |
+
"loss": 0.6078,
|
388 |
"step": 530
|
389 |
},
|
390 |
{
|
391 |
"epoch": 1.277350680070964,
|
392 |
+
"grad_norm": 0.5399011019791115,
|
393 |
"learning_rate": 5e-06,
|
394 |
+
"loss": 0.6173,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.3010053222945004,
|
399 |
+
"grad_norm": 0.48804065232921706,
|
400 |
"learning_rate": 5e-06,
|
401 |
+
"loss": 0.6089,
|
402 |
"step": 550
|
403 |
},
|
404 |
{
|
405 |
"epoch": 1.3246599645180366,
|
406 |
+
"grad_norm": 0.6247022748083035,
|
407 |
"learning_rate": 5e-06,
|
408 |
+
"loss": 0.612,
|
409 |
"step": 560
|
410 |
},
|
411 |
{
|
412 |
"epoch": 1.348314606741573,
|
413 |
+
"grad_norm": 0.5205181494692162,
|
414 |
"learning_rate": 5e-06,
|
415 |
+
"loss": 0.6087,
|
416 |
"step": 570
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.3719692489651094,
|
420 |
+
"grad_norm": 0.4444906716754459,
|
421 |
"learning_rate": 5e-06,
|
422 |
+
"loss": 0.6129,
|
423 |
"step": 580
|
424 |
},
|
425 |
{
|
426 |
"epoch": 1.3956238911886458,
|
427 |
+
"grad_norm": 0.4699507974891951,
|
428 |
"learning_rate": 5e-06,
|
429 |
+
"loss": 0.6084,
|
430 |
"step": 590
|
431 |
},
|
432 |
{
|
433 |
"epoch": 1.4192785334121822,
|
434 |
+
"grad_norm": 0.438759746705871,
|
435 |
"learning_rate": 5e-06,
|
436 |
+
"loss": 0.6118,
|
437 |
"step": 600
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.4429331756357184,
|
441 |
+
"grad_norm": 0.492167276336904,
|
442 |
"learning_rate": 5e-06,
|
443 |
+
"loss": 0.6057,
|
444 |
"step": 610
|
445 |
},
|
446 |
{
|
447 |
"epoch": 1.4665878178592548,
|
448 |
+
"grad_norm": 0.508896134049524,
|
449 |
"learning_rate": 5e-06,
|
450 |
+
"loss": 0.6111,
|
451 |
"step": 620
|
452 |
},
|
453 |
{
|
454 |
"epoch": 1.4902424600827913,
|
455 |
+
"grad_norm": 0.5044935497801236,
|
456 |
"learning_rate": 5e-06,
|
457 |
+
"loss": 0.6091,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.5138971023063275,
|
462 |
+
"grad_norm": 0.611513828523435,
|
463 |
"learning_rate": 5e-06,
|
464 |
+
"loss": 0.6084,
|
465 |
"step": 640
|
466 |
},
|
467 |
{
|
468 |
"epoch": 1.537551744529864,
|
469 |
+
"grad_norm": 0.4284886945389684,
|
470 |
"learning_rate": 5e-06,
|
471 |
+
"loss": 0.6161,
|
472 |
"step": 650
|
473 |
},
|
474 |
{
|
475 |
"epoch": 1.5612063867534003,
|
476 |
+
"grad_norm": 0.7397737868115762,
|
477 |
"learning_rate": 5e-06,
|
478 |
+
"loss": 0.611,
|
479 |
"step": 660
|
480 |
},
|
481 |
{
|
482 |
"epoch": 1.5848610289769367,
|
483 |
+
"grad_norm": 0.45834776518516607,
|
484 |
"learning_rate": 5e-06,
|
485 |
+
"loss": 0.6054,
|
486 |
"step": 670
|
487 |
},
|
488 |
{
|
489 |
"epoch": 1.6085156712004731,
|
490 |
+
"grad_norm": 0.9830107568320281,
|
491 |
"learning_rate": 5e-06,
|
492 |
+
"loss": 0.6077,
|
493 |
"step": 680
|
494 |
},
|
495 |
{
|
496 |
"epoch": 1.6321703134240093,
|
497 |
+
"grad_norm": 0.7316301006660809,
|
498 |
"learning_rate": 5e-06,
|
499 |
+
"loss": 0.6066,
|
500 |
"step": 690
|
501 |
},
|
502 |
{
|
503 |
"epoch": 1.655824955647546,
|
504 |
+
"grad_norm": 0.8713979852654485,
|
505 |
"learning_rate": 5e-06,
|
506 |
+
"loss": 0.6112,
|
507 |
"step": 700
|
508 |
},
|
509 |
{
|
510 |
"epoch": 1.6794795978710821,
|
511 |
+
"grad_norm": 0.6609904307136948,
|
512 |
"learning_rate": 5e-06,
|
513 |
+
"loss": 0.6063,
|
514 |
"step": 710
|
515 |
},
|
516 |
{
|
517 |
"epoch": 1.7031342400946186,
|
518 |
+
"grad_norm": 0.5730385784454821,
|
519 |
"learning_rate": 5e-06,
|
520 |
+
"loss": 0.6174,
|
521 |
"step": 720
|
522 |
},
|
523 |
{
|
524 |
"epoch": 1.726788882318155,
|
525 |
+
"grad_norm": 0.428675321624077,
|
526 |
"learning_rate": 5e-06,
|
527 |
+
"loss": 0.6075,
|
528 |
"step": 730
|
529 |
},
|
530 |
{
|
531 |
"epoch": 1.7504435245416912,
|
532 |
+
"grad_norm": 0.5747845078803645,
|
533 |
"learning_rate": 5e-06,
|
534 |
+
"loss": 0.6073,
|
535 |
"step": 740
|
536 |
},
|
537 |
{
|
538 |
"epoch": 1.7740981667652278,
|
539 |
+
"grad_norm": 0.6019599666582006,
|
540 |
"learning_rate": 5e-06,
|
541 |
+
"loss": 0.6074,
|
542 |
"step": 750
|
543 |
},
|
544 |
{
|
545 |
"epoch": 1.797752808988764,
|
546 |
+
"grad_norm": 0.484871680178572,
|
547 |
"learning_rate": 5e-06,
|
548 |
+
"loss": 0.6076,
|
549 |
"step": 760
|
550 |
},
|
551 |
{
|
552 |
"epoch": 1.8214074512123004,
|
553 |
+
"grad_norm": 0.4801879662753807,
|
554 |
"learning_rate": 5e-06,
|
555 |
+
"loss": 0.6046,
|
556 |
"step": 770
|
557 |
},
|
558 |
{
|
559 |
"epoch": 1.8450620934358368,
|
560 |
+
"grad_norm": 0.44588625446373603,
|
561 |
"learning_rate": 5e-06,
|
562 |
+
"loss": 0.6078,
|
563 |
"step": 780
|
564 |
},
|
565 |
{
|
566 |
"epoch": 1.868716735659373,
|
567 |
+
"grad_norm": 0.43921853360548113,
|
568 |
"learning_rate": 5e-06,
|
569 |
+
"loss": 0.6086,
|
570 |
"step": 790
|
571 |
},
|
572 |
{
|
573 |
"epoch": 1.8923713778829097,
|
574 |
+
"grad_norm": 0.4461189307976923,
|
575 |
"learning_rate": 5e-06,
|
576 |
+
"loss": 0.6105,
|
577 |
"step": 800
|
578 |
},
|
579 |
{
|
580 |
"epoch": 1.9160260201064458,
|
581 |
+
"grad_norm": 0.4949761836327779,
|
582 |
"learning_rate": 5e-06,
|
583 |
+
"loss": 0.613,
|
584 |
"step": 810
|
585 |
},
|
586 |
{
|
587 |
"epoch": 1.9396806623299823,
|
588 |
+
"grad_norm": 0.44062812260467765,
|
589 |
"learning_rate": 5e-06,
|
590 |
+
"loss": 0.6049,
|
591 |
"step": 820
|
592 |
},
|
593 |
{
|
594 |
"epoch": 1.9633353045535187,
|
595 |
+
"grad_norm": 0.4460160929815086,
|
596 |
"learning_rate": 5e-06,
|
597 |
+
"loss": 0.613,
|
598 |
"step": 830
|
599 |
},
|
600 |
{
|
601 |
"epoch": 1.9869899467770549,
|
602 |
+
"grad_norm": 0.5175110899521405,
|
603 |
"learning_rate": 5e-06,
|
604 |
+
"loss": 0.6028,
|
605 |
"step": 840
|
606 |
},
|
607 |
{
|
608 |
"epoch": 1.9988172678888232,
|
609 |
+
"eval_loss": 0.6445377469062805,
|
610 |
+
"eval_runtime": 227.0244,
|
611 |
+
"eval_samples_per_second": 50.158,
|
612 |
+
"eval_steps_per_second": 0.392,
|
613 |
"step": 845
|
614 |
},
|
615 |
{
|
616 |
"epoch": 2.0106445890005915,
|
617 |
+
"grad_norm": 0.5892375412389526,
|
618 |
"learning_rate": 5e-06,
|
619 |
+
"loss": 0.5851,
|
620 |
"step": 850
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.0342992312241277,
|
624 |
+
"grad_norm": 0.5097516172118646,
|
625 |
"learning_rate": 5e-06,
|
626 |
+
"loss": 0.5643,
|
627 |
"step": 860
|
628 |
},
|
629 |
{
|
630 |
"epoch": 2.057953873447664,
|
631 |
+
"grad_norm": 0.6536746176311915,
|
632 |
"learning_rate": 5e-06,
|
633 |
+
"loss": 0.5592,
|
634 |
"step": 870
|
635 |
},
|
636 |
{
|
637 |
"epoch": 2.0816085156712005,
|
638 |
+
"grad_norm": 0.47983268810356666,
|
639 |
"learning_rate": 5e-06,
|
640 |
+
"loss": 0.5626,
|
641 |
"step": 880
|
642 |
},
|
643 |
{
|
644 |
"epoch": 2.1052631578947367,
|
645 |
+
"grad_norm": 0.6017282349204336,
|
646 |
"learning_rate": 5e-06,
|
647 |
+
"loss": 0.5697,
|
648 |
"step": 890
|
649 |
},
|
650 |
{
|
651 |
"epoch": 2.1289178001182734,
|
652 |
+
"grad_norm": 0.5728407157654074,
|
653 |
"learning_rate": 5e-06,
|
654 |
+
"loss": 0.5632,
|
655 |
"step": 900
|
656 |
},
|
657 |
{
|
658 |
"epoch": 2.1525724423418096,
|
659 |
+
"grad_norm": 0.5680779384221303,
|
660 |
"learning_rate": 5e-06,
|
661 |
+
"loss": 0.5672,
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.1762270845653457,
|
666 |
+
"grad_norm": 0.48858908601906337,
|
667 |
"learning_rate": 5e-06,
|
668 |
+
"loss": 0.567,
|
669 |
"step": 920
|
670 |
},
|
671 |
{
|
672 |
"epoch": 2.1998817267888824,
|
673 |
+
"grad_norm": 0.5005707887249943,
|
674 |
"learning_rate": 5e-06,
|
675 |
+
"loss": 0.5646,
|
676 |
"step": 930
|
677 |
},
|
678 |
{
|
679 |
"epoch": 2.2235363690124186,
|
680 |
+
"grad_norm": 0.5829558904651037,
|
681 |
"learning_rate": 5e-06,
|
682 |
+
"loss": 0.5648,
|
683 |
"step": 940
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.247191011235955,
|
687 |
+
"grad_norm": 0.48798199303667406,
|
688 |
"learning_rate": 5e-06,
|
689 |
+
"loss": 0.578,
|
690 |
"step": 950
|
691 |
},
|
692 |
{
|
693 |
"epoch": 2.2708456534594914,
|
694 |
+
"grad_norm": 0.582446153234459,
|
695 |
"learning_rate": 5e-06,
|
696 |
+
"loss": 0.5682,
|
697 |
"step": 960
|
698 |
},
|
699 |
{
|
700 |
"epoch": 2.2945002956830276,
|
701 |
+
"grad_norm": 0.46970294592756995,
|
702 |
"learning_rate": 5e-06,
|
703 |
+
"loss": 0.571,
|
704 |
"step": 970
|
705 |
},
|
706 |
{
|
707 |
"epoch": 2.3181549379065642,
|
708 |
+
"grad_norm": 0.5759020549520256,
|
709 |
"learning_rate": 5e-06,
|
710 |
+
"loss": 0.5647,
|
711 |
"step": 980
|
712 |
},
|
713 |
{
|
714 |
"epoch": 2.3418095801301004,
|
715 |
+
"grad_norm": 0.549340588982862,
|
716 |
"learning_rate": 5e-06,
|
717 |
+
"loss": 0.5755,
|
718 |
"step": 990
|
719 |
},
|
720 |
{
|
721 |
"epoch": 2.365464222353637,
|
722 |
+
"grad_norm": 0.46429208051701265,
|
723 |
"learning_rate": 5e-06,
|
724 |
+
"loss": 0.5648,
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.3891188645771733,
|
729 |
+
"grad_norm": 0.5160254392452897,
|
730 |
"learning_rate": 5e-06,
|
731 |
+
"loss": 0.558,
|
732 |
"step": 1010
|
733 |
},
|
734 |
{
|
735 |
"epoch": 2.4127735068007095,
|
736 |
+
"grad_norm": 0.4799281597192369,
|
737 |
"learning_rate": 5e-06,
|
738 |
+
"loss": 0.5627,
|
739 |
"step": 1020
|
740 |
},
|
741 |
{
|
742 |
"epoch": 2.436428149024246,
|
743 |
+
"grad_norm": 0.5121330286207769,
|
744 |
"learning_rate": 5e-06,
|
745 |
+
"loss": 0.5608,
|
746 |
"step": 1030
|
747 |
},
|
748 |
{
|
749 |
"epoch": 2.4600827912477823,
|
750 |
+
"grad_norm": 0.5841580086447481,
|
751 |
"learning_rate": 5e-06,
|
752 |
+
"loss": 0.5693,
|
753 |
"step": 1040
|
754 |
},
|
755 |
{
|
756 |
"epoch": 2.483737433471319,
|
757 |
+
"grad_norm": 0.557020183414569,
|
758 |
"learning_rate": 5e-06,
|
759 |
+
"loss": 0.5726,
|
760 |
"step": 1050
|
761 |
},
|
762 |
{
|
763 |
"epoch": 2.507392075694855,
|
764 |
+
"grad_norm": 0.6374112998842234,
|
765 |
"learning_rate": 5e-06,
|
766 |
+
"loss": 0.5747,
|
767 |
"step": 1060
|
768 |
},
|
769 |
{
|
770 |
"epoch": 2.5310467179183913,
|
771 |
+
"grad_norm": 0.5343754869995426,
|
772 |
"learning_rate": 5e-06,
|
773 |
+
"loss": 0.5607,
|
774 |
"step": 1070
|
775 |
},
|
776 |
{
|
777 |
"epoch": 2.554701360141928,
|
778 |
+
"grad_norm": 0.5496554790900547,
|
779 |
"learning_rate": 5e-06,
|
780 |
+
"loss": 0.5698,
|
781 |
"step": 1080
|
782 |
},
|
783 |
{
|
784 |
"epoch": 2.578356002365464,
|
785 |
+
"grad_norm": 0.6822773581077988,
|
786 |
"learning_rate": 5e-06,
|
787 |
+
"loss": 0.5738,
|
788 |
"step": 1090
|
789 |
},
|
790 |
{
|
791 |
"epoch": 2.6020106445890008,
|
792 |
+
"grad_norm": 0.49632724788385346,
|
793 |
"learning_rate": 5e-06,
|
794 |
+
"loss": 0.5692,
|
795 |
"step": 1100
|
796 |
},
|
797 |
{
|
798 |
"epoch": 2.625665286812537,
|
799 |
+
"grad_norm": 0.4859614320386073,
|
800 |
"learning_rate": 5e-06,
|
801 |
+
"loss": 0.5704,
|
802 |
"step": 1110
|
803 |
},
|
804 |
{
|
805 |
"epoch": 2.649319929036073,
|
806 |
+
"grad_norm": 0.5005521245693028,
|
807 |
"learning_rate": 5e-06,
|
808 |
+
"loss": 0.5721,
|
809 |
"step": 1120
|
810 |
},
|
811 |
{
|
812 |
"epoch": 2.67297457125961,
|
813 |
+
"grad_norm": 0.5418331476470847,
|
814 |
"learning_rate": 5e-06,
|
815 |
+
"loss": 0.5719,
|
816 |
"step": 1130
|
817 |
},
|
818 |
{
|
819 |
"epoch": 2.696629213483146,
|
820 |
+
"grad_norm": 0.4518235189693759,
|
821 |
"learning_rate": 5e-06,
|
822 |
+
"loss": 0.5658,
|
823 |
"step": 1140
|
824 |
},
|
825 |
{
|
826 |
"epoch": 2.7202838557066826,
|
827 |
+
"grad_norm": 0.45229828628235735,
|
828 |
"learning_rate": 5e-06,
|
829 |
+
"loss": 0.5638,
|
830 |
"step": 1150
|
831 |
},
|
832 |
{
|
833 |
"epoch": 2.743938497930219,
|
834 |
+
"grad_norm": 0.5051148207876189,
|
835 |
"learning_rate": 5e-06,
|
836 |
+
"loss": 0.5748,
|
837 |
"step": 1160
|
838 |
},
|
839 |
{
|
840 |
"epoch": 2.767593140153755,
|
841 |
+
"grad_norm": 0.7455413514573421,
|
842 |
"learning_rate": 5e-06,
|
843 |
+
"loss": 0.5797,
|
844 |
"step": 1170
|
845 |
},
|
846 |
{
|
847 |
"epoch": 2.7912477823772917,
|
848 |
+
"grad_norm": 0.5362145068936747,
|
849 |
"learning_rate": 5e-06,
|
850 |
+
"loss": 0.5705,
|
851 |
"step": 1180
|
852 |
},
|
853 |
{
|
854 |
"epoch": 2.814902424600828,
|
855 |
+
"grad_norm": 0.46118669511344673,
|
856 |
"learning_rate": 5e-06,
|
857 |
+
"loss": 0.5653,
|
858 |
"step": 1190
|
859 |
},
|
860 |
{
|
861 |
"epoch": 2.8385570668243645,
|
862 |
+
"grad_norm": 0.5498761802579338,
|
863 |
"learning_rate": 5e-06,
|
864 |
+
"loss": 0.5694,
|
865 |
"step": 1200
|
866 |
},
|
867 |
{
|
868 |
"epoch": 2.8622117090479007,
|
869 |
+
"grad_norm": 0.5720658060375756,
|
870 |
"learning_rate": 5e-06,
|
871 |
+
"loss": 0.5761,
|
872 |
"step": 1210
|
873 |
},
|
874 |
{
|
875 |
"epoch": 2.885866351271437,
|
876 |
+
"grad_norm": 0.4735883791639776,
|
877 |
"learning_rate": 5e-06,
|
878 |
+
"loss": 0.5714,
|
879 |
"step": 1220
|
880 |
},
|
881 |
{
|
882 |
"epoch": 2.9095209934949735,
|
883 |
+
"grad_norm": 0.6126626053091963,
|
884 |
"learning_rate": 5e-06,
|
885 |
+
"loss": 0.5665,
|
886 |
"step": 1230
|
887 |
},
|
888 |
{
|
889 |
"epoch": 2.9331756357185097,
|
890 |
+
"grad_norm": 0.5724885076669786,
|
891 |
"learning_rate": 5e-06,
|
892 |
+
"loss": 0.5666,
|
893 |
"step": 1240
|
894 |
},
|
895 |
{
|
896 |
"epoch": 2.9568302779420463,
|
897 |
+
"grad_norm": 0.5144727847784881,
|
898 |
"learning_rate": 5e-06,
|
899 |
+
"loss": 0.5721,
|
900 |
"step": 1250
|
901 |
},
|
902 |
{
|
903 |
"epoch": 2.9804849201655825,
|
904 |
+
"grad_norm": 0.4637250585550989,
|
905 |
"learning_rate": 5e-06,
|
906 |
+
"loss": 0.5645,
|
907 |
"step": 1260
|
908 |
},
|
909 |
{
|
910 |
"epoch": 2.9946777054997042,
|
911 |
+
"eval_loss": 0.6453979015350342,
|
912 |
+
"eval_runtime": 226.895,
|
913 |
+
"eval_samples_per_second": 50.186,
|
914 |
+
"eval_steps_per_second": 0.392,
|
915 |
"step": 1266
|
916 |
},
|
917 |
{
|
918 |
"epoch": 2.9946777054997042,
|
919 |
"step": 1266,
|
920 |
"total_flos": 2120178393415680.0,
|
921 |
+
"train_loss": 0.6197805719164687,
|
922 |
+
"train_runtime": 38167.6556,
|
923 |
+
"train_samples_per_second": 17.005,
|
924 |
"train_steps_per_second": 0.033
|
925 |
}
|
926 |
],
|
training_eval_loss.png
CHANGED
training_loss.png
CHANGED