Model save
Browse files- README.md +1 -1
- all_results.json +3 -3
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- train_results.json +3 -3
- trainer_state.json +290 -326
- training_args.bin +2 -2
README.md
CHANGED
@@ -26,7 +26,7 @@ print(output["generated_text"])
|
|
26 |
|
27 |
## Training procedure
|
28 |
|
29 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/luojing020713-siat/huggingface/runs/
|
30 |
|
31 |
|
32 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
|
|
26 |
|
27 |
## Training procedure
|
28 |
|
29 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/luojing020713-siat/huggingface/runs/i24cg4sm)
|
30 |
|
31 |
|
32 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 7500,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.004
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.005782647762212089,
|
4 |
+
"train_runtime": 41644.7787,
|
5 |
"train_samples": 7500,
|
6 |
+
"train_samples_per_second": 0.54,
|
7 |
"train_steps_per_second": 0.004
|
8 |
}
|
model-00001-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4957560304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a295261b7109e67173c7e7151d15f10df25b1a1a0842779d40df942c3caccdf
|
3 |
size 4957560304
|
model-00002-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1836696752
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7065c71486bc879a9100559062b65218d55d9b73b619409d90ec664d49b7ce79
|
3 |
size 1836696752
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 7500,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.004
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.005782647762212089,
|
4 |
+
"train_runtime": 41644.7787,
|
5 |
"train_samples": 7500,
|
6 |
+
"train_samples_per_second": 0.54,
|
7 |
"train_steps_per_second": 0.004
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,552 +10,516 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"clip_ratio": 0.0,
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.017057569296375266,
|
15 |
-
"grad_norm": 0.
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 1.6666666666666665e-07,
|
18 |
-
"loss": 0.
|
19 |
-
"reward": 0.
|
20 |
-
"reward_std": 0.
|
21 |
-
"rewards/accuracy_reward": 0.
|
22 |
-
"rewards/
|
23 |
-
"rewards/reflection_reward_pos": 0.0,
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
"clip_ratio": 0.0,
|
28 |
-
"completion_length":
|
29 |
"epoch": 0.08528784648187633,
|
30 |
-
"grad_norm": 0.
|
31 |
-
"kl": 0.
|
32 |
"learning_rate": 8.333333333333334e-07,
|
33 |
-
"loss": 0.
|
34 |
-
"reward": 0.
|
35 |
-
"reward_std": 0.
|
36 |
-
"rewards/accuracy_reward": 0.
|
37 |
-
"rewards/
|
38 |
-
"rewards/reflection_reward_pos": 0.0009765625,
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
"clip_ratio": 0.0,
|
43 |
-
"completion_length":
|
44 |
"epoch": 0.17057569296375266,
|
45 |
-
"grad_norm": 0.
|
46 |
-
"kl": 0.
|
47 |
"learning_rate": 1.6666666666666669e-06,
|
48 |
-
"loss": 0.
|
49 |
-
"reward": 0.
|
50 |
-
"reward_std": 0.
|
51 |
-
"rewards/accuracy_reward": 0.
|
52 |
-
"rewards/
|
53 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
54 |
"step": 10
|
55 |
},
|
56 |
{
|
57 |
"clip_ratio": 0.0,
|
58 |
-
"completion_length":
|
59 |
"epoch": 0.255863539445629,
|
60 |
-
"grad_norm": 0.
|
61 |
-
"kl": 0.
|
62 |
"learning_rate": 2.5e-06,
|
63 |
-
"loss": 0.
|
64 |
-
"reward": 0.
|
65 |
-
"reward_std": 0.
|
66 |
-
"rewards/accuracy_reward": 0.
|
67 |
-
"rewards/
|
68 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
69 |
"step": 15
|
70 |
},
|
71 |
{
|
72 |
"clip_ratio": 0.0,
|
73 |
-
"completion_length":
|
74 |
"epoch": 0.3411513859275053,
|
75 |
-
"grad_norm": 0.
|
76 |
-
"kl": 0.
|
77 |
"learning_rate": 2.9987834972573546e-06,
|
78 |
-
"loss": 0.
|
79 |
-
"reward": 0.
|
80 |
-
"reward_std": 0.
|
81 |
-
"rewards/accuracy_reward": 0.
|
82 |
-
"rewards/
|
83 |
-
"rewards/reflection_reward_pos": 0.003125,
|
84 |
"step": 20
|
85 |
},
|
86 |
{
|
87 |
"clip_ratio": 0.0,
|
88 |
-
"completion_length":
|
89 |
"epoch": 0.42643923240938164,
|
90 |
-
"grad_norm": 0.
|
91 |
-
"kl": 0.
|
92 |
"learning_rate": 2.9851204919417464e-06,
|
93 |
-
"loss": 0.
|
94 |
-
"reward": 0.
|
95 |
-
"reward_std": 0.
|
96 |
-
"rewards/accuracy_reward": 0.
|
97 |
-
"rewards/
|
98 |
-
"rewards/reflection_reward_pos": 0.003125,
|
99 |
"step": 25
|
100 |
},
|
101 |
{
|
102 |
"clip_ratio": 0.0,
|
103 |
-
"completion_length":
|
104 |
"epoch": 0.511727078891258,
|
105 |
-
"grad_norm": 0.
|
106 |
-
"kl": 0.
|
107 |
"learning_rate": 2.956412726139078e-06,
|
108 |
-
"loss": 0.
|
109 |
-
"reward": 0.
|
110 |
-
"reward_std": 0.
|
111 |
-
"rewards/accuracy_reward": 0.
|
112 |
-
"rewards/
|
113 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
114 |
"step": 30
|
115 |
},
|
116 |
{
|
117 |
"clip_ratio": 0.0,
|
118 |
-
"completion_length":
|
119 |
"epoch": 0.5970149253731343,
|
120 |
-
"grad_norm": 0.
|
121 |
-
"kl": 0.
|
122 |
"learning_rate": 2.9129510189868974e-06,
|
123 |
-
"loss": 0.
|
124 |
-
"reward": 0.
|
125 |
-
"reward_std": 0.
|
126 |
-
"rewards/accuracy_reward": 0.
|
127 |
-
"rewards/
|
128 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
129 |
"step": 35
|
130 |
},
|
131 |
{
|
132 |
"clip_ratio": 0.0,
|
133 |
-
"completion_length":
|
134 |
"epoch": 0.6823027718550106,
|
135 |
-
"grad_norm": 0.
|
136 |
-
"kl": 0.
|
137 |
"learning_rate": 2.8551756519155732e-06,
|
138 |
-
"loss": 0.
|
139 |
-
"reward": 0.
|
140 |
-
"reward_std": 0.
|
141 |
-
"rewards/accuracy_reward": 0.
|
142 |
-
"rewards/
|
143 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
144 |
"step": 40
|
145 |
},
|
146 |
{
|
147 |
"clip_ratio": 0.0,
|
148 |
-
"completion_length":
|
149 |
"epoch": 0.767590618336887,
|
150 |
-
"grad_norm": 0.
|
151 |
-
"kl": 0.
|
152 |
"learning_rate": 2.7836719084521715e-06,
|
153 |
-
"loss": 0.
|
154 |
-
"reward": 0.
|
155 |
-
"reward_std": 0.
|
156 |
-
"rewards/accuracy_reward": 0.
|
157 |
-
"rewards/
|
158 |
-
"rewards/reflection_reward_pos": 0.003125,
|
159 |
"step": 45
|
160 |
},
|
161 |
{
|
162 |
"clip_ratio": 0.0,
|
163 |
-
"completion_length":
|
164 |
"epoch": 0.8528784648187633,
|
165 |
-
"grad_norm": 0.
|
166 |
-
"kl": 0.
|
167 |
"learning_rate": 2.699164145105252e-06,
|
168 |
-
"loss": 0.
|
169 |
-
"reward": 0.
|
170 |
-
"reward_std": 0.
|
171 |
-
"rewards/accuracy_reward": 0.
|
172 |
-
"rewards/
|
173 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
174 |
"step": 50
|
175 |
},
|
176 |
{
|
177 |
"clip_ratio": 0.0,
|
178 |
-
"completion_length":
|
179 |
"epoch": 0.9381663113006397,
|
180 |
-
"grad_norm": 0.
|
181 |
-
"kl": 0.
|
182 |
"learning_rate": 2.602508453394493e-06,
|
183 |
-
"loss": 0.
|
184 |
-
"reward": 0.
|
185 |
-
"reward_std": 0.
|
186 |
-
"rewards/accuracy_reward": 0.
|
187 |
-
"rewards/
|
188 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
189 |
"step": 55
|
190 |
},
|
191 |
{
|
192 |
"clip_ratio": 0.0,
|
193 |
-
"completion_length":
|
194 |
"epoch": 1.0341151385927505,
|
195 |
-
"grad_norm": 0.
|
196 |
-
"kl": 0.
|
197 |
"learning_rate": 2.4946839873611927e-06,
|
198 |
-
"loss": 0.
|
199 |
-
"reward": 0.
|
200 |
-
"reward_std": 0.
|
201 |
-
"rewards/accuracy_reward": 0.
|
202 |
-
"rewards/
|
203 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
204 |
"step": 60
|
205 |
},
|
206 |
{
|
207 |
"clip_ratio": 0.0,
|
208 |
-
"completion_length":
|
209 |
"epoch": 1.1194029850746268,
|
210 |
-
"grad_norm": 0.
|
211 |
-
"kl": 0.
|
212 |
"learning_rate": 2.3767830444148337e-06,
|
213 |
-
"loss": 0.
|
214 |
-
"reward": 0.
|
215 |
-
"reward_std": 0.
|
216 |
-
"rewards/accuracy_reward": 0.
|
217 |
-
"rewards/
|
218 |
-
"rewards/reflection_reward_pos": 0.00546875,
|
219 |
"step": 65
|
220 |
},
|
221 |
{
|
222 |
"clip_ratio": 0.0,
|
223 |
-
"completion_length":
|
224 |
"epoch": 1.2046908315565032,
|
225 |
-
"grad_norm": 0.
|
226 |
-
"kl": 0.
|
227 |
"learning_rate": 2.25e-06,
|
228 |
-
"loss": 0.
|
229 |
-
"reward": 0.
|
230 |
-
"reward_std": 0.
|
231 |
-
"rewards/accuracy_reward": 0.
|
232 |
-
"rewards/
|
233 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
234 |
"step": 70
|
235 |
},
|
236 |
{
|
237 |
"clip_ratio": 0.0,
|
238 |
-
"completion_length":
|
239 |
"epoch": 1.2899786780383795,
|
240 |
-
"grad_norm": 0.
|
241 |
-
"kl": 0.
|
242 |
"learning_rate": 2.1156192081791355e-06,
|
243 |
-
"loss": 0.
|
244 |
-
"reward": 0.
|
245 |
-
"reward_std": 0.
|
246 |
-
"rewards/accuracy_reward": 0.
|
247 |
-
"rewards/
|
248 |
-
"rewards/reflection_reward_pos": 0.00390625,
|
249 |
"step": 75
|
250 |
},
|
251 |
{
|
252 |
"clip_ratio": 0.0,
|
253 |
-
"completion_length":
|
254 |
"epoch": 1.375266524520256,
|
255 |
-
"grad_norm":
|
256 |
-
"kl": 0.
|
257 |
"learning_rate": 1.975001990702209e-06,
|
258 |
-
"loss": 0.
|
259 |
-
"reward": 0.
|
260 |
-
"reward_std": 0.
|
261 |
-
"rewards/accuracy_reward": 0.
|
262 |
-
"rewards/
|
263 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
264 |
"step": 80
|
265 |
},
|
266 |
{
|
267 |
"clip_ratio": 0.0,
|
268 |
-
"completion_length":
|
269 |
"epoch": 1.4605543710021323,
|
270 |
-
"grad_norm": 0.
|
271 |
-
"kl": 0.
|
272 |
"learning_rate": 1.829572846368326e-06,
|
273 |
-
"loss": 0.
|
274 |
-
"reward": 0.
|
275 |
-
"reward_std": 0.
|
276 |
-
"rewards/accuracy_reward": 0.
|
277 |
-
"rewards/format_reward": 0.16484375,
|
278 |
"rewards/reflection_reward_pos": 0.00078125,
|
279 |
"step": 85
|
280 |
},
|
281 |
{
|
282 |
"clip_ratio": 0.0,
|
283 |
-
"completion_length":
|
284 |
"epoch": 1.5458422174840085,
|
285 |
-
"grad_norm": 0.
|
286 |
-
"kl": 0.
|
287 |
"learning_rate": 1.6808050203829845e-06,
|
288 |
-
"loss": 0.
|
289 |
-
"reward": 0.
|
290 |
-
"reward_std": 0.
|
291 |
-
"rewards/accuracy_reward": 0.
|
292 |
-
"rewards/
|
293 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
294 |
"step": 90
|
295 |
},
|
296 |
{
|
297 |
"clip_ratio": 0.0,
|
298 |
-
"completion_length":
|
299 |
"epoch": 1.6311300639658848,
|
300 |
-
"grad_norm": 0.
|
301 |
-
"kl": 0.
|
302 |
"learning_rate": 1.5302055798981605e-06,
|
303 |
-
"loss": 0.
|
304 |
-
"reward": 0.
|
305 |
-
"reward_std": 0.
|
306 |
-
"rewards/accuracy_reward": 0.
|
307 |
-
"rewards/
|
308 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
309 |
"step": 95
|
310 |
},
|
311 |
{
|
312 |
"epoch": 1.716417910447761,
|
313 |
-
"grad_norm": 0.
|
314 |
"learning_rate": 1.3793001469249112e-06,
|
315 |
-
"loss": 0.
|
316 |
"step": 100
|
317 |
},
|
318 |
{
|
319 |
"epoch": 1.716417910447761,
|
320 |
"eval_clip_ratio": 0.0,
|
321 |
-
"eval_completion_length":
|
322 |
-
"eval_kl": 0.
|
323 |
-
"eval_loss": 0.
|
324 |
-
"eval_reward": 0.
|
325 |
-
"eval_reward_std": 0.
|
326 |
-
"eval_rewards/accuracy_reward": 0.
|
327 |
-
"eval_rewards/
|
328 |
-
"
|
329 |
-
"
|
330 |
-
"
|
331 |
-
"eval_steps_per_second": 0.027,
|
332 |
"step": 100
|
333 |
},
|
334 |
{
|
335 |
"clip_ratio": 0.0,
|
336 |
-
"completion_length":
|
337 |
"epoch": 1.8017057569296375,
|
338 |
-
"grad_norm": 0.
|
339 |
-
"kl": 0.
|
340 |
"learning_rate": 1.2296174432791415e-06,
|
341 |
-
"loss": 0.
|
342 |
-
"reward": 0.
|
343 |
-
"reward_std": 0.
|
344 |
-
"rewards/accuracy_reward": 0.
|
345 |
-
"rewards/
|
346 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
347 |
"step": 105
|
348 |
},
|
349 |
{
|
350 |
"clip_ratio": 0.0,
|
351 |
-
"completion_length":
|
352 |
"epoch": 1.886993603411514,
|
353 |
-
"grad_norm": 0.
|
354 |
-
"kl": 0.
|
355 |
"learning_rate": 1.0826738041253211e-06,
|
356 |
-
"loss": 0.
|
357 |
-
"reward": 0.
|
358 |
-
"reward_std": 0.
|
359 |
-
"rewards/accuracy_reward": 0.
|
360 |
-
"rewards/
|
361 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
362 |
"step": 110
|
363 |
},
|
364 |
{
|
365 |
"clip_ratio": 0.0,
|
366 |
-
"completion_length":
|
367 |
"epoch": 1.9722814498933903,
|
368 |
-
"grad_norm": 0.
|
369 |
-
"kl": 0.
|
370 |
"learning_rate": 9.399578170010685e-07,
|
371 |
-
"loss": 0.
|
372 |
-
"reward": 0.
|
373 |
-
"reward_std": 0.
|
374 |
-
"rewards/accuracy_reward": 0.
|
375 |
-
"rewards/
|
376 |
-
"rewards/reflection_reward_pos": 0.003125,
|
377 |
"step": 115
|
378 |
},
|
379 |
{
|
380 |
"clip_ratio": 0.0,
|
381 |
-
"completion_length":
|
382 |
"epoch": 2.068230277185501,
|
383 |
-
"grad_norm": 0.
|
384 |
-
"kl": 0.
|
385 |
"learning_rate": 8.029152419343472e-07,
|
386 |
-
"loss": 0.
|
387 |
-
"reward": 0.
|
388 |
-
"reward_std": 0.
|
389 |
-
"rewards/accuracy_reward": 0.
|
390 |
-
"rewards/
|
391 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
392 |
"step": 120
|
393 |
},
|
394 |
{
|
395 |
"clip_ratio": 0.0,
|
396 |
-
"completion_length":
|
397 |
"epoch": 2.1535181236673773,
|
398 |
-
"grad_norm": 0.
|
399 |
-
"kl": 0.
|
400 |
"learning_rate": 6.729343654174626e-07,
|
401 |
-
"loss": 0.
|
402 |
-
"reward": 0.
|
403 |
-
"reward_std": 0.
|
404 |
-
"rewards/accuracy_reward": 0.
|
405 |
-
"rewards/
|
406 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
407 |
"step": 125
|
408 |
},
|
409 |
{
|
410 |
"clip_ratio": 0.0,
|
411 |
-
"completion_length":
|
412 |
"epoch": 2.2388059701492535,
|
413 |
-
"grad_norm": 0.
|
414 |
-
"kl": 0.
|
415 |
"learning_rate": 5.513319366069343e-07,
|
416 |
-
"loss": 0.
|
417 |
-
"reward": 0.
|
418 |
-
"reward_std": 0.
|
419 |
-
"rewards/accuracy_reward": 0.
|
420 |
-
"rewards/
|
421 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
422 |
"step": 130
|
423 |
},
|
424 |
{
|
425 |
"clip_ratio": 0.0,
|
426 |
-
"completion_length":
|
427 |
"epoch": 2.3240938166311302,
|
428 |
-
"grad_norm": 0.
|
429 |
-
"kl": 0.
|
430 |
"learning_rate": 4.3933982822017883e-07,
|
431 |
-
"loss": 0.
|
432 |
-
"reward": 0.
|
433 |
-
"reward_std": 0.
|
434 |
-
"rewards/accuracy_reward": 0.
|
435 |
-
"rewards/
|
436 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
437 |
"step": 135
|
438 |
},
|
439 |
{
|
440 |
"clip_ratio": 0.0,
|
441 |
-
"completion_length":
|
442 |
"epoch": 2.4093816631130065,
|
443 |
-
"grad_norm":
|
444 |
-
"kl": 0.
|
445 |
"learning_rate": 3.380925572585183e-07,
|
446 |
-
"loss": 0.
|
447 |
-
"reward": 0.
|
448 |
-
"reward_std": 0.
|
449 |
-
"rewards/accuracy_reward": 0.
|
450 |
-
"rewards/
|
451 |
-
"rewards/reflection_reward_pos": 0.00234375,
|
452 |
"step": 140
|
453 |
},
|
454 |
{
|
455 |
"clip_ratio": 0.0,
|
456 |
-
"completion_length":
|
457 |
"epoch": 2.4946695095948828,
|
458 |
-
"grad_norm": 0.
|
459 |
-
"kl": 0.
|
460 |
"learning_rate": 2.4861579197570804e-07,
|
461 |
-
"loss": 0.
|
462 |
-
"reward": 0.
|
463 |
-
"reward_std": 0.
|
464 |
-
"rewards/accuracy_reward": 0.
|
465 |
-
"rewards/
|
466 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
467 |
"step": 145
|
468 |
},
|
469 |
{
|
470 |
"clip_ratio": 0.0,
|
471 |
-
"completion_length":
|
472 |
"epoch": 2.579957356076759,
|
473 |
-
"grad_norm": 0.
|
474 |
-
"kl": 0.
|
475 |
"learning_rate": 1.718159615201853e-07,
|
476 |
-
"loss": 0.
|
477 |
-
"reward": 0.
|
478 |
-
"reward_std": 0.
|
479 |
-
"rewards/accuracy_reward": 0.
|
480 |
-
"rewards/
|
481 |
-
"rewards/reflection_reward_pos": 0.0015625,
|
482 |
"step": 150
|
483 |
},
|
484 |
{
|
485 |
"clip_ratio": 0.0,
|
486 |
-
"completion_length":
|
487 |
"epoch": 2.6652452025586353,
|
488 |
-
"grad_norm": 0.
|
489 |
-
"kl": 0.
|
490 |
"learning_rate": 1.0847107350878571e-07,
|
491 |
-
"loss": 0.
|
492 |
-
"reward": 0.
|
493 |
-
"reward_std": 0.
|
494 |
-
"rewards/accuracy_reward": 0.
|
495 |
-
"rewards/format_reward": 0.1671875,
|
496 |
"rewards/reflection_reward_pos": 0.00078125,
|
497 |
"step": 155
|
498 |
},
|
499 |
{
|
500 |
"clip_ratio": 0.0,
|
501 |
-
"completion_length":
|
502 |
"epoch": 2.750533049040512,
|
503 |
-
"grad_norm": 0.
|
504 |
-
"kl": 0.
|
505 |
"learning_rate": 5.922283255294164e-08,
|
506 |
-
"loss": 0.
|
507 |
-
"reward": 0.
|
508 |
-
"reward_std": 0.
|
509 |
-
"rewards/accuracy_reward": 0.
|
510 |
-
"rewards/
|
511 |
-
"rewards/reflection_reward_pos": 0.00078125,
|
512 |
"step": 160
|
513 |
},
|
514 |
{
|
515 |
"clip_ratio": 0.0,
|
516 |
-
"completion_length":
|
517 |
"epoch": 2.835820895522388,
|
518 |
-
"grad_norm": 0.
|
519 |
-
"kl": 0.
|
520 |
"learning_rate": 2.4570139579284723e-08,
|
521 |
-
"loss": 0.
|
522 |
-
"reward": 0.
|
523 |
-
"reward_std": 0.
|
524 |
-
"rewards/accuracy_reward": 0.
|
525 |
-
"rewards/
|
526 |
-
"rewards/reflection_reward_pos": 0.003125,
|
527 |
"step": 165
|
528 |
},
|
529 |
{
|
530 |
"clip_ratio": 0.0,
|
531 |
-
"completion_length":
|
532 |
"epoch": 2.9211087420042645,
|
533 |
-
"grad_norm": 0.
|
534 |
-
"kl": 0.
|
535 |
"learning_rate": 4.864037798685106e-09,
|
536 |
-
"loss": 0.
|
537 |
-
"reward": 0.
|
538 |
-
"reward_std": 0.
|
539 |
-
"rewards/accuracy_reward": 0.
|
540 |
-
"rewards/
|
541 |
-
"rewards/reflection_reward_pos": 0.003125,
|
542 |
"step": 170
|
543 |
},
|
544 |
{
|
545 |
"clip_ratio": 0.0,
|
546 |
-
"completion_length":
|
547 |
"epoch": 2.9893390191897655,
|
548 |
-
"kl": 0.
|
549 |
-
"reward": 0.
|
550 |
-
"reward_std": 0.
|
551 |
-
"rewards/accuracy_reward": 0.
|
552 |
-
"rewards/
|
553 |
-
"rewards/reflection_reward_pos": 0.0029296875,
|
554 |
"step": 174,
|
555 |
"total_flos": 0.0,
|
556 |
-
"train_loss": 0.
|
557 |
-
"train_runtime":
|
558 |
-
"train_samples_per_second": 0.
|
559 |
"train_steps_per_second": 0.004
|
560 |
}
|
561 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"clip_ratio": 0.0,
|
13 |
+
"completion_length": 648.7421875,
|
14 |
"epoch": 0.017057569296375266,
|
15 |
+
"grad_norm": 0.06589560955762863,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 1.6666666666666665e-07,
|
18 |
+
"loss": 0.0062,
|
19 |
+
"reward": 0.703125,
|
20 |
+
"reward_std": 0.0883883461356163,
|
21 |
+
"rewards/accuracy_reward": 0.69921875,
|
22 |
+
"rewards/reflection_reward_pos": 0.00390625,
|
|
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
"clip_ratio": 0.0,
|
27 |
+
"completion_length": 648.5087890625,
|
28 |
"epoch": 0.08528784648187633,
|
29 |
+
"grad_norm": 0.06861326843500137,
|
30 |
+
"kl": 0.00011852383613586426,
|
31 |
"learning_rate": 8.333333333333334e-07,
|
32 |
+
"loss": -0.0011,
|
33 |
+
"reward": 0.6640625,
|
34 |
+
"reward_std": 0.09115048055537045,
|
35 |
+
"rewards/accuracy_reward": 0.6640625,
|
36 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
37 |
"step": 5
|
38 |
},
|
39 |
{
|
40 |
"clip_ratio": 0.0,
|
41 |
+
"completion_length": 638.33359375,
|
42 |
"epoch": 0.17057569296375266,
|
43 |
+
"grad_norm": 0.06051831692457199,
|
44 |
+
"kl": 0.00015828609466552734,
|
45 |
"learning_rate": 1.6666666666666669e-06,
|
46 |
+
"loss": 0.01,
|
47 |
+
"reward": 0.67734375,
|
48 |
+
"reward_std": 0.10275145107880235,
|
49 |
+
"rewards/accuracy_reward": 0.67734375,
|
50 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
51 |
"step": 10
|
52 |
},
|
53 |
{
|
54 |
"clip_ratio": 0.0,
|
55 |
+
"completion_length": 622.8640625,
|
56 |
"epoch": 0.255863539445629,
|
57 |
+
"grad_norm": 0.09521586447954178,
|
58 |
+
"kl": 0.0001518726348876953,
|
59 |
"learning_rate": 2.5e-06,
|
60 |
+
"loss": 0.0024,
|
61 |
+
"reward": 0.71015625,
|
62 |
+
"reward_std": 0.12042912095785141,
|
63 |
+
"rewards/accuracy_reward": 0.709375,
|
64 |
+
"rewards/reflection_reward_pos": 0.00078125,
|
|
|
65 |
"step": 15
|
66 |
},
|
67 |
{
|
68 |
"clip_ratio": 0.0,
|
69 |
+
"completion_length": 607.86640625,
|
70 |
"epoch": 0.3411513859275053,
|
71 |
+
"grad_norm": 0.08084629476070404,
|
72 |
+
"kl": 0.00022783279418945313,
|
73 |
"learning_rate": 2.9987834972573546e-06,
|
74 |
+
"loss": 0.0036,
|
75 |
+
"reward": 0.70546875,
|
76 |
+
"reward_std": 0.12042912160977721,
|
77 |
+
"rewards/accuracy_reward": 0.70390625,
|
78 |
+
"rewards/reflection_reward_pos": 0.0015625,
|
|
|
79 |
"step": 20
|
80 |
},
|
81 |
{
|
82 |
"clip_ratio": 0.0,
|
83 |
+
"completion_length": 645.02421875,
|
84 |
"epoch": 0.42643923240938164,
|
85 |
+
"grad_norm": 0.08875104784965515,
|
86 |
+
"kl": 0.00043997764587402346,
|
87 |
"learning_rate": 2.9851204919417464e-06,
|
88 |
+
"loss": 0.0049,
|
89 |
+
"reward": 0.65859375,
|
90 |
+
"reward_std": 0.11379999481141567,
|
91 |
+
"rewards/accuracy_reward": 0.65859375,
|
92 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
93 |
"step": 25
|
94 |
},
|
95 |
{
|
96 |
"clip_ratio": 0.0,
|
97 |
+
"completion_length": 670.86953125,
|
98 |
"epoch": 0.511727078891258,
|
99 |
+
"grad_norm": 0.07565722614526749,
|
100 |
+
"kl": 0.0007645606994628907,
|
101 |
"learning_rate": 2.956412726139078e-06,
|
102 |
+
"loss": 0.0067,
|
103 |
+
"reward": 0.67421875,
|
104 |
+
"reward_std": 0.10054174307733774,
|
105 |
+
"rewards/accuracy_reward": 0.67265625,
|
106 |
+
"rewards/reflection_reward_pos": 0.0015625,
|
|
|
107 |
"step": 30
|
108 |
},
|
109 |
{
|
110 |
"clip_ratio": 0.0,
|
111 |
+
"completion_length": 659.73203125,
|
112 |
"epoch": 0.5970149253731343,
|
113 |
+
"grad_norm": 0.07428640872240067,
|
114 |
+
"kl": 0.0010577201843261718,
|
115 |
"learning_rate": 2.9129510189868974e-06,
|
116 |
+
"loss": 0.0062,
|
117 |
+
"reward": 0.65,
|
118 |
+
"reward_std": 0.08838834529742598,
|
119 |
+
"rewards/accuracy_reward": 0.65,
|
120 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
121 |
"step": 35
|
122 |
},
|
123 |
{
|
124 |
"clip_ratio": 0.0,
|
125 |
+
"completion_length": 645.309375,
|
126 |
"epoch": 0.6823027718550106,
|
127 |
+
"grad_norm": 0.08162426203489304,
|
128 |
+
"kl": 0.0015665054321289062,
|
129 |
"learning_rate": 2.8551756519155732e-06,
|
130 |
+
"loss": 0.0098,
|
131 |
+
"reward": 0.6921875,
|
132 |
+
"reward_std": 0.10385630577802658,
|
133 |
+
"rewards/accuracy_reward": 0.6921875,
|
134 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
135 |
"step": 40
|
136 |
},
|
137 |
{
|
138 |
"clip_ratio": 0.0,
|
139 |
+
"completion_length": 655.0703125,
|
140 |
"epoch": 0.767590618336887,
|
141 |
+
"grad_norm": 0.08563440293073654,
|
142 |
+
"kl": 0.0018520355224609375,
|
143 |
"learning_rate": 2.7836719084521715e-06,
|
144 |
+
"loss": 0.0064,
|
145 |
+
"reward": 0.65859375,
|
146 |
+
"reward_std": 0.12484853798523546,
|
147 |
+
"rewards/accuracy_reward": 0.65859375,
|
148 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
149 |
"step": 45
|
150 |
},
|
151 |
{
|
152 |
"clip_ratio": 0.0,
|
153 |
+
"completion_length": 634.13515625,
|
154 |
"epoch": 0.8528784648187633,
|
155 |
+
"grad_norm": 0.08154138922691345,
|
156 |
+
"kl": 0.0025421142578125,
|
157 |
"learning_rate": 2.699164145105252e-06,
|
158 |
+
"loss": 0.0071,
|
159 |
+
"reward": 0.6671875,
|
160 |
+
"reward_std": 0.11490484932437539,
|
161 |
+
"rewards/accuracy_reward": 0.66484375,
|
162 |
+
"rewards/reflection_reward_pos": 0.00234375,
|
|
|
163 |
"step": 50
|
164 |
},
|
165 |
{
|
166 |
"clip_ratio": 0.0,
|
167 |
+
"completion_length": 648.434375,
|
168 |
"epoch": 0.9381663113006397,
|
169 |
+
"grad_norm": 0.09137308597564697,
|
170 |
+
"kl": 0.0026458740234375,
|
171 |
"learning_rate": 2.602508453394493e-06,
|
172 |
+
"loss": 0.0071,
|
173 |
+
"reward": 0.6796875,
|
174 |
+
"reward_std": 0.1303728088736534,
|
175 |
+
"rewards/accuracy_reward": 0.6796875,
|
176 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
177 |
"step": 55
|
178 |
},
|
179 |
{
|
180 |
"clip_ratio": 0.0,
|
181 |
+
"completion_length": 622.5903686523437,
|
182 |
"epoch": 1.0341151385927505,
|
183 |
+
"grad_norm": 0.10423822700977325,
|
184 |
+
"kl": 0.0027740478515625,
|
185 |
"learning_rate": 2.4946839873611927e-06,
|
186 |
+
"loss": 0.0048,
|
187 |
+
"reward": 0.6671875,
|
188 |
+
"reward_std": 0.11932426644489169,
|
189 |
+
"rewards/accuracy_reward": 0.6671875,
|
190 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
191 |
"step": 60
|
192 |
},
|
193 |
{
|
194 |
"clip_ratio": 0.0,
|
195 |
+
"completion_length": 608.39921875,
|
196 |
"epoch": 1.1194029850746268,
|
197 |
+
"grad_norm": 0.10257695615291595,
|
198 |
+
"kl": 0.0032474517822265623,
|
199 |
"learning_rate": 2.3767830444148337e-06,
|
200 |
+
"loss": 0.0086,
|
201 |
+
"reward": 0.68515625,
|
202 |
+
"reward_std": 0.10496116010472178,
|
203 |
+
"rewards/accuracy_reward": 0.68515625,
|
204 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
205 |
"step": 65
|
206 |
},
|
207 |
{
|
208 |
"clip_ratio": 0.0,
|
209 |
+
"completion_length": 617.39140625,
|
210 |
"epoch": 1.2046908315565032,
|
211 |
+
"grad_norm": 0.0765712708234787,
|
212 |
+
"kl": 0.0033966064453125,
|
213 |
"learning_rate": 2.25e-06,
|
214 |
+
"loss": 0.005,
|
215 |
+
"reward": 0.68046875,
|
216 |
+
"reward_std": 0.10275145145133138,
|
217 |
+
"rewards/accuracy_reward": 0.68046875,
|
218 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
219 |
"step": 70
|
220 |
},
|
221 |
{
|
222 |
"clip_ratio": 0.0,
|
223 |
+
"completion_length": 620.7875,
|
224 |
"epoch": 1.2899786780383795,
|
225 |
+
"grad_norm": 0.1029704362154007,
|
226 |
+
"kl": 0.0029888153076171875,
|
227 |
"learning_rate": 2.1156192081791355e-06,
|
228 |
+
"loss": 0.0023,
|
229 |
+
"reward": 0.6828125,
|
230 |
+
"reward_std": 0.12595339212566614,
|
231 |
+
"rewards/accuracy_reward": 0.68203125,
|
232 |
+
"rewards/reflection_reward_pos": 0.00078125,
|
|
|
233 |
"step": 75
|
234 |
},
|
235 |
{
|
236 |
"clip_ratio": 0.0,
|
237 |
+
"completion_length": 615.33828125,
|
238 |
"epoch": 1.375266524520256,
|
239 |
+
"grad_norm": 0.08894416689872742,
|
240 |
+
"kl": 0.0030879974365234375,
|
241 |
"learning_rate": 1.975001990702209e-06,
|
242 |
+
"loss": 0.0046,
|
243 |
+
"reward": 0.71484375,
|
244 |
+
"reward_std": 0.12042912067845464,
|
245 |
+
"rewards/accuracy_reward": 0.71484375,
|
246 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
247 |
"step": 80
|
248 |
},
|
249 |
{
|
250 |
"clip_ratio": 0.0,
|
251 |
+
"completion_length": 629.1375,
|
252 |
"epoch": 1.4605543710021323,
|
253 |
+
"grad_norm": 0.08637527376413345,
|
254 |
+
"kl": 0.0033039093017578126,
|
255 |
"learning_rate": 1.829572846368326e-06,
|
256 |
+
"loss": 0.0055,
|
257 |
+
"reward": 0.690625,
|
258 |
+
"reward_std": 0.11490484941750764,
|
259 |
+
"rewards/accuracy_reward": 0.68984375,
|
|
|
260 |
"rewards/reflection_reward_pos": 0.00078125,
|
261 |
"step": 85
|
262 |
},
|
263 |
{
|
264 |
"clip_ratio": 0.0,
|
265 |
+
"completion_length": 652.8375,
|
266 |
"epoch": 1.5458422174840085,
|
267 |
+
"grad_norm": 0.0866626650094986,
|
268 |
+
"kl": 0.0031810760498046874,
|
269 |
"learning_rate": 1.6808050203829845e-06,
|
270 |
+
"loss": 0.002,
|
271 |
+
"reward": 0.6484375,
|
272 |
+
"reward_std": 0.09501747125759721,
|
273 |
+
"rewards/accuracy_reward": 0.64765625,
|
274 |
+
"rewards/reflection_reward_pos": 0.00078125,
|
|
|
275 |
"step": 90
|
276 |
},
|
277 |
{
|
278 |
"clip_ratio": 0.0,
|
279 |
+
"completion_length": 646.7421875,
|
280 |
"epoch": 1.6311300639658848,
|
281 |
+
"grad_norm": 0.09559585154056549,
|
282 |
+
"kl": 0.0030200958251953127,
|
283 |
"learning_rate": 1.5302055798981605e-06,
|
284 |
+
"loss": 0.0044,
|
285 |
+
"reward": 0.65625,
|
286 |
+
"reward_std": 0.11048543220385909,
|
287 |
+
"rewards/accuracy_reward": 0.65625,
|
288 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
289 |
"step": 95
|
290 |
},
|
291 |
{
|
292 |
"epoch": 1.716417910447761,
|
293 |
+
"grad_norm": 0.06905966252088547,
|
294 |
"learning_rate": 1.3793001469249112e-06,
|
295 |
+
"loss": 0.0084,
|
296 |
"step": 100
|
297 |
},
|
298 |
{
|
299 |
"epoch": 1.716417910447761,
|
300 |
"eval_clip_ratio": 0.0,
|
301 |
+
"eval_completion_length": 625.3352635782747,
|
302 |
+
"eval_kl": 0.0029512838052865417,
|
303 |
+
"eval_loss": 0.0050412570126354694,
|
304 |
+
"eval_reward": 0.6336861022364217,
|
305 |
+
"eval_reward_std": 0.12947621855872887,
|
306 |
+
"eval_rewards/accuracy_reward": 0.6328873801916933,
|
307 |
+
"eval_rewards/reflection_reward_pos": 0.0007987220447284345,
|
308 |
+
"eval_runtime": 6061.8369,
|
309 |
+
"eval_samples_per_second": 0.825,
|
310 |
+
"eval_steps_per_second": 0.026,
|
|
|
311 |
"step": 100
|
312 |
},
|
313 |
{
|
314 |
"clip_ratio": 0.0,
|
315 |
+
"completion_length": 643.7375,
|
316 |
"epoch": 1.8017057569296375,
|
317 |
+
"grad_norm": 0.08424519002437592,
|
318 |
+
"kl": 0.0029918670654296873,
|
319 |
"learning_rate": 1.2296174432791415e-06,
|
320 |
+
"loss": 0.0065,
|
321 |
+
"reward": 0.676171875,
|
322 |
+
"reward_std": 0.11103785866871477,
|
323 |
+
"rewards/accuracy_reward": 0.676171875,
|
324 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
325 |
"step": 105
|
326 |
},
|
327 |
{
|
328 |
"clip_ratio": 0.0,
|
329 |
+
"completion_length": 644.7671875,
|
330 |
"epoch": 1.886993603411514,
|
331 |
+
"grad_norm": 0.08362549543380737,
|
332 |
+
"kl": 0.00287628173828125,
|
333 |
"learning_rate": 1.0826738041253211e-06,
|
334 |
+
"loss": 0.0102,
|
335 |
+
"reward": 0.6671875,
|
336 |
+
"reward_std": 0.12374368365854024,
|
337 |
+
"rewards/accuracy_reward": 0.6671875,
|
338 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
339 |
"step": 110
|
340 |
},
|
341 |
{
|
342 |
"clip_ratio": 0.0,
|
343 |
+
"completion_length": 633.04375,
|
344 |
"epoch": 1.9722814498933903,
|
345 |
+
"grad_norm": 0.0973709300160408,
|
346 |
+
"kl": 0.003045654296875,
|
347 |
"learning_rate": 9.399578170010685e-07,
|
348 |
+
"loss": 0.0006,
|
349 |
+
"reward": 0.67265625,
|
350 |
+
"reward_std": 0.1182194116525352,
|
351 |
+
"rewards/accuracy_reward": 0.67265625,
|
352 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
353 |
"step": 115
|
354 |
},
|
355 |
{
|
356 |
"clip_ratio": 0.0,
|
357 |
+
"completion_length": 651.9445343017578,
|
358 |
"epoch": 2.068230277185501,
|
359 |
+
"grad_norm": 0.07164692878723145,
|
360 |
+
"kl": 0.0029529571533203126,
|
361 |
"learning_rate": 8.029152419343472e-07,
|
362 |
+
"loss": 0.0074,
|
363 |
+
"reward": 0.67265625,
|
364 |
+
"reward_std": 0.10496116001158953,
|
365 |
+
"rewards/accuracy_reward": 0.67265625,
|
366 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
367 |
"step": 120
|
368 |
},
|
369 |
{
|
370 |
"clip_ratio": 0.0,
|
371 |
+
"completion_length": 639.64375,
|
372 |
"epoch": 2.1535181236673773,
|
373 |
+
"grad_norm": 0.07949467748403549,
|
374 |
+
"kl": 0.0030269622802734375,
|
375 |
"learning_rate": 6.729343654174626e-07,
|
376 |
+
"loss": 0.0081,
|
377 |
+
"reward": 0.6953125,
|
378 |
+
"reward_std": 0.11490484857931733,
|
379 |
+
"rewards/accuracy_reward": 0.6953125,
|
380 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
381 |
"step": 125
|
382 |
},
|
383 |
{
|
384 |
"clip_ratio": 0.0,
|
385 |
+
"completion_length": 656.5984375,
|
386 |
"epoch": 2.2388059701492535,
|
387 |
+
"grad_norm": 0.08217156678438187,
|
388 |
+
"kl": 0.0028797149658203124,
|
389 |
"learning_rate": 5.513319366069343e-07,
|
390 |
+
"loss": 0.0076,
|
391 |
+
"reward": 0.6890625,
|
392 |
+
"reward_std": 0.11711455835029483,
|
393 |
+
"rewards/accuracy_reward": 0.6890625,
|
394 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
395 |
"step": 130
|
396 |
},
|
397 |
{
|
398 |
"clip_ratio": 0.0,
|
399 |
+
"completion_length": 657.54296875,
|
400 |
"epoch": 2.3240938166311302,
|
401 |
+
"grad_norm": 0.08467955142259598,
|
402 |
+
"kl": 0.0028537750244140626,
|
403 |
"learning_rate": 4.3933982822017883e-07,
|
404 |
+
"loss": 0.0046,
|
405 |
+
"reward": 0.67109375,
|
406 |
+
"reward_std": 0.10938057713210583,
|
407 |
+
"rewards/accuracy_reward": 0.6703125,
|
408 |
+
"rewards/reflection_reward_pos": 0.00078125,
|
|
|
409 |
"step": 135
|
410 |
},
|
411 |
{
|
412 |
"clip_ratio": 0.0,
|
413 |
+
"completion_length": 642.66484375,
|
414 |
"epoch": 2.4093816631130065,
|
415 |
+
"grad_norm": 0.08187657594680786,
|
416 |
+
"kl": 0.0027801513671875,
|
417 |
"learning_rate": 3.380925572585183e-07,
|
418 |
+
"loss": 0.008,
|
419 |
+
"reward": 0.6625,
|
420 |
+
"reward_std": 0.11711455713957548,
|
421 |
+
"rewards/accuracy_reward": 0.6625,
|
422 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
423 |
"step": 140
|
424 |
},
|
425 |
{
|
426 |
"clip_ratio": 0.0,
|
427 |
+
"completion_length": 622.1828125,
|
428 |
"epoch": 2.4946695095948828,
|
429 |
+
"grad_norm": 0.08926448225975037,
|
430 |
+
"kl": 0.00284576416015625,
|
431 |
"learning_rate": 2.4861579197570804e-07,
|
432 |
+
"loss": 0.0096,
|
433 |
+
"reward": 0.678125,
|
434 |
+
"reward_std": 0.11711455807089806,
|
435 |
+
"rewards/accuracy_reward": 0.678125,
|
436 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
437 |
"step": 145
|
438 |
},
|
439 |
{
|
440 |
"clip_ratio": 0.0,
|
441 |
+
"completion_length": 636.60546875,
|
442 |
"epoch": 2.579957356076759,
|
443 |
+
"grad_norm": 0.09873559325933456,
|
444 |
+
"kl": 0.00290679931640625,
|
445 |
"learning_rate": 1.718159615201853e-07,
|
446 |
+
"loss": 0.0088,
|
447 |
+
"reward": 0.66328125,
|
448 |
+
"reward_std": 0.12263882830739022,
|
449 |
+
"rewards/accuracy_reward": 0.6625,
|
450 |
+
"rewards/reflection_reward_pos": 0.00078125,
|
|
|
451 |
"step": 150
|
452 |
},
|
453 |
{
|
454 |
"clip_ratio": 0.0,
|
455 |
+
"completion_length": 641.1921875,
|
456 |
"epoch": 2.6652452025586353,
|
457 |
+
"grad_norm": 0.08141663670539856,
|
458 |
+
"kl": 0.00279998779296875,
|
459 |
"learning_rate": 1.0847107350878571e-07,
|
460 |
+
"loss": 0.0056,
|
461 |
+
"reward": 0.66875,
|
462 |
+
"reward_std": 0.11269514048472047,
|
463 |
+
"rewards/accuracy_reward": 0.66796875,
|
|
|
464 |
"rewards/reflection_reward_pos": 0.00078125,
|
465 |
"step": 155
|
466 |
},
|
467 |
{
|
468 |
"clip_ratio": 0.0,
|
469 |
+
"completion_length": 635.07578125,
|
470 |
"epoch": 2.750533049040512,
|
471 |
+
"grad_norm": 0.07290147989988327,
|
472 |
+
"kl": 0.002706146240234375,
|
473 |
"learning_rate": 5.922283255294164e-08,
|
474 |
+
"loss": 0.0028,
|
475 |
+
"reward": 0.7171875,
|
476 |
+
"reward_std": 0.09722718009725213,
|
477 |
+
"rewards/accuracy_reward": 0.7171875,
|
478 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
479 |
"step": 160
|
480 |
},
|
481 |
{
|
482 |
"clip_ratio": 0.0,
|
483 |
+
"completion_length": 633.3,
|
484 |
"epoch": 2.835820895522388,
|
485 |
+
"grad_norm": 0.07411785423755646,
|
486 |
+
"kl": 0.0027303695678710938,
|
487 |
"learning_rate": 2.4570139579284723e-08,
|
488 |
+
"loss": 0.0062,
|
489 |
+
"reward": 0.6953125,
|
490 |
+
"reward_std": 0.10385630559176207,
|
491 |
+
"rewards/accuracy_reward": 0.6953125,
|
492 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
493 |
"step": 165
|
494 |
},
|
495 |
{
|
496 |
"clip_ratio": 0.0,
|
497 |
+
"completion_length": 639.90546875,
|
498 |
"epoch": 2.9211087420042645,
|
499 |
+
"grad_norm": 0.09646094590425491,
|
500 |
+
"kl": 0.0026676177978515623,
|
501 |
"learning_rate": 4.864037798685106e-09,
|
502 |
+
"loss": 0.0018,
|
503 |
+
"reward": 0.69296875,
|
504 |
+
"reward_std": 0.10717086931690574,
|
505 |
+
"rewards/accuracy_reward": 0.69296875,
|
506 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
507 |
"step": 170
|
508 |
},
|
509 |
{
|
510 |
"clip_ratio": 0.0,
|
511 |
+
"completion_length": 644.8330116271973,
|
512 |
"epoch": 2.9893390191897655,
|
513 |
+
"kl": 0.0027103424072265625,
|
514 |
+
"reward": 0.669921875,
|
515 |
+
"reward_std": 0.11877183895558119,
|
516 |
+
"rewards/accuracy_reward": 0.669921875,
|
517 |
+
"rewards/reflection_reward_pos": 0.0,
|
|
|
518 |
"step": 174,
|
519 |
"total_flos": 0.0,
|
520 |
+
"train_loss": 0.005782647762212089,
|
521 |
+
"train_runtime": 41644.7787,
|
522 |
+
"train_samples_per_second": 0.54,
|
523 |
"train_steps_per_second": 0.004
|
524 |
}
|
525 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4db7f6d6c128be56fa07ba7fc1b230400695276f9ea554cbfedcc1a931511184
|
3 |
+
size 7800
|