Model save
Browse files- README.md +1 -1
- all_results.json +6 -6
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +361 -436
- training_args.bin +1 -1
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/ggbetz/argunauts-training/runs/
|
30 |
|
31 |
|
32 |
This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
|
|
|
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/ggbetz/argunauts-training/runs/d55470xf)
|
30 |
|
31 |
|
32 |
This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
|
all_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch": 1.
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second": 5.
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.9971305595408895,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.5929731760901966,
|
5 |
+
"train_runtime": 2030.2211,
|
6 |
+
"train_samples": 5576,
|
7 |
+
"train_samples_per_second": 5.493,
|
8 |
+
"train_steps_per_second": 0.086
|
9 |
}
|
model-00001-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4976698672
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1b2cfa01d7837330c9b890a79677233bde135efb7b9300dc70ca9c2436cfe2d
|
3 |
size 4976698672
|
model-00002-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999802720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1a9f875c8b82e62970bc18ae27be339c4fa9058b0cdb3f537fa10774bf479e9
|
3 |
size 4999802720
|
model-00003-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4915916176
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f23e9719d839b39d06c0e5b2276ea0def1e8e6d6774413af2ae74d34fa9ac0a6
|
3 |
size 4915916176
|
model-00004-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1168138808
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:643861ba758160b88b3f43351ea8d2c440cf58ff16173e0337f35c74c90cf95b
|
3 |
size 1168138808
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch": 1.
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second": 5.
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.9971305595408895,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.5929731760901966,
|
5 |
+
"train_runtime": 2030.2211,
|
6 |
+
"train_samples": 5576,
|
7 |
+
"train_samples_per_second": 5.493,
|
8 |
+
"train_steps_per_second": 0.086
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,610 +1,535 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 1.
|
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.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
"logits/chosen": NaN,
|
16 |
"logits/rejected": NaN,
|
17 |
-
"logps/chosen": -
|
18 |
-
"logps/rejected": -
|
19 |
-
"loss": 0.
|
20 |
-
"rewards/accuracies": 0.
|
21 |
-
"rewards/chosen": -0.
|
22 |
-
"rewards/margins":
|
23 |
-
"rewards/rejected": 0.
|
24 |
"step": 5
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 0.
|
28 |
-
"grad_norm":
|
29 |
-
"learning_rate":
|
30 |
"logits/chosen": NaN,
|
31 |
"logits/rejected": NaN,
|
32 |
-
"logps/chosen": -
|
33 |
-
"logps/rejected": -
|
34 |
-
"loss": 0.
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen": 0.
|
37 |
-
"rewards/margins": 0.
|
38 |
-
"rewards/rejected": -0.
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"grad_norm":
|
44 |
-
"learning_rate": 1.
|
45 |
"logits/chosen": NaN,
|
46 |
-
"logits/rejected":
|
47 |
-
"logps/chosen": -
|
48 |
-
"logps/rejected": -
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen": -0.
|
52 |
-
"rewards/margins": 0.
|
53 |
-
"rewards/rejected": -0.
|
54 |
"step": 15
|
55 |
},
|
56 |
{
|
57 |
-
"epoch": 0.
|
58 |
-
"grad_norm":
|
59 |
-
"learning_rate": 1.
|
60 |
"logits/chosen": NaN,
|
61 |
"logits/rejected": NaN,
|
62 |
-
"logps/chosen": -
|
63 |
-
"logps/rejected": -
|
64 |
-
"loss": 0.
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen": -0.
|
67 |
-
"rewards/margins": 0.
|
68 |
-
"rewards/rejected": -0.
|
69 |
"step": 20
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"grad_norm":
|
74 |
-
"learning_rate": 1.
|
75 |
"logits/chosen": NaN,
|
76 |
-
"logits/rejected":
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen": -0.
|
82 |
-
"rewards/margins": 0.
|
83 |
-
"rewards/rejected": -0.
|
84 |
"step": 25
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 0.
|
88 |
-
"grad_norm":
|
89 |
-
"learning_rate": 1.
|
90 |
"logits/chosen": NaN,
|
91 |
"logits/rejected": NaN,
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss": 0.
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen": -0.
|
97 |
-
"rewards/margins": 0.
|
98 |
-
"rewards/rejected": -0.
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"grad_norm":
|
104 |
-
"learning_rate": 1.
|
105 |
"logits/chosen": NaN,
|
106 |
"logits/rejected": NaN,
|
107 |
-
"logps/chosen": -
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
-
"rewards/accuracies": 0.
|
111 |
-
"rewards/chosen": -0.
|
112 |
-
"rewards/margins": 0.
|
113 |
-
"rewards/rejected": -0.
|
114 |
"step": 35
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate": 1.
|
120 |
"logits/chosen": NaN,
|
121 |
"logits/rejected": NaN,
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss": 0.
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen": -0.
|
127 |
-
"rewards/margins": 0.
|
128 |
-
"rewards/rejected": -0.
|
129 |
"step": 40
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"grad_norm":
|
134 |
-
"learning_rate": 1.
|
135 |
"logits/chosen": NaN,
|
136 |
-
"logits/rejected":
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss": 0.
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen": -0.
|
142 |
-
"rewards/margins":
|
143 |
-
"rewards/rejected": -
|
144 |
"step": 45
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"learning_rate": 1.
|
150 |
"logits/chosen": NaN,
|
151 |
-
"logits/rejected":
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen": -0.
|
157 |
-
"rewards/margins": 0.
|
158 |
-
"rewards/rejected": -0.
|
159 |
"step": 50
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm":
|
164 |
-
"learning_rate": 1.
|
165 |
"logits/chosen": NaN,
|
166 |
"logits/rejected": NaN,
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss": 0.
|
170 |
-
"rewards/accuracies": 0.
|
171 |
-
"rewards/chosen": -0.
|
172 |
-
"rewards/margins": 0.
|
173 |
-
"rewards/rejected": -
|
174 |
"step": 55
|
175 |
},
|
176 |
{
|
177 |
-
"epoch": 0.
|
178 |
-
"grad_norm":
|
179 |
-
"learning_rate": 1.
|
180 |
"logits/chosen": NaN,
|
181 |
"logits/rejected": NaN,
|
182 |
-
"logps/chosen": -
|
183 |
-
"logps/rejected": -
|
184 |
-
"loss": 0.
|
185 |
-
"rewards/accuracies": 0.
|
186 |
-
"rewards/chosen": -0.
|
187 |
-
"rewards/margins":
|
188 |
-
"rewards/rejected": -
|
189 |
"step": 60
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
-
"grad_norm":
|
194 |
-
"learning_rate": 1.
|
195 |
"logits/chosen": NaN,
|
196 |
"logits/rejected": NaN,
|
197 |
-
"logps/chosen": -
|
198 |
-
"logps/rejected": -
|
199 |
-
"loss": 0.
|
200 |
-
"rewards/accuracies": 0.
|
201 |
-
"rewards/chosen": -0.
|
202 |
-
"rewards/margins":
|
203 |
-
"rewards/rejected": -
|
204 |
"step": 65
|
205 |
},
|
206 |
{
|
207 |
-
"epoch": 0.
|
208 |
-
"grad_norm":
|
209 |
-
"learning_rate": 1.
|
210 |
"logits/chosen": NaN,
|
211 |
"logits/rejected": NaN,
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen": -0.
|
217 |
-
"rewards/margins":
|
218 |
-
"rewards/rejected": -
|
219 |
"step": 70
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate": 1.
|
225 |
"logits/chosen": NaN,
|
226 |
"logits/rejected": NaN,
|
227 |
-
"logps/chosen": -
|
228 |
-
"logps/rejected": -
|
229 |
-
"loss": 0.
|
230 |
-
"rewards/accuracies": 0.
|
231 |
-
"rewards/chosen": -0.
|
232 |
-
"rewards/margins": 0.
|
233 |
-
"rewards/rejected": -0.
|
234 |
"step": 75
|
235 |
},
|
236 |
{
|
237 |
-
"epoch": 0.
|
238 |
-
"grad_norm":
|
239 |
-
"learning_rate": 1.
|
240 |
"logits/chosen": NaN,
|
241 |
-
"logits/rejected":
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": -0.
|
247 |
-
"rewards/margins":
|
248 |
-
"rewards/rejected": -1.
|
249 |
"step": 80
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
-
"grad_norm":
|
254 |
-
"learning_rate": 1.
|
255 |
"logits/chosen": NaN,
|
256 |
"logits/rejected": NaN,
|
257 |
-
"logps/chosen": -
|
258 |
-
"logps/rejected": -
|
259 |
-
"loss": 0.
|
260 |
-
"rewards/accuracies": 0.
|
261 |
-
"rewards/chosen": -0.
|
262 |
-
"rewards/margins": 0.
|
263 |
-
"rewards/rejected": -
|
264 |
"step": 85
|
265 |
},
|
266 |
{
|
267 |
-
"epoch":
|
268 |
-
"grad_norm":
|
269 |
-
"learning_rate": 1.
|
270 |
"logits/chosen": NaN,
|
271 |
-
"logits/rejected":
|
272 |
-
"logps/chosen": -
|
273 |
-
"logps/rejected": -
|
274 |
-
"loss": 0.
|
275 |
-
"rewards/accuracies": 0.
|
276 |
-
"rewards/chosen": -0.
|
277 |
-
"rewards/margins":
|
278 |
-
"rewards/rejected": -
|
279 |
"step": 90
|
280 |
},
|
281 |
{
|
282 |
-
"epoch":
|
283 |
-
"grad_norm":
|
284 |
-
"learning_rate":
|
285 |
"logits/chosen": NaN,
|
286 |
"logits/rejected": NaN,
|
287 |
-
"logps/chosen": -
|
288 |
-
"logps/rejected": -
|
289 |
-
"loss": 0.
|
290 |
-
"rewards/accuracies": 0.
|
291 |
-
"rewards/chosen": -0.
|
292 |
-
"rewards/margins":
|
293 |
-
"rewards/rejected": -1.
|
294 |
"step": 95
|
295 |
},
|
296 |
{
|
297 |
-
"epoch": 1.
|
298 |
-
"grad_norm":
|
299 |
-
"learning_rate":
|
300 |
"logits/chosen": NaN,
|
301 |
"logits/rejected": NaN,
|
302 |
-
"logps/chosen": -
|
303 |
-
"logps/rejected": -
|
304 |
-
"loss": 0.
|
305 |
-
"rewards/accuracies": 0.
|
306 |
-
"rewards/chosen": -0.
|
307 |
-
"rewards/margins":
|
308 |
-
"rewards/rejected": -
|
309 |
"step": 100
|
310 |
},
|
311 |
{
|
312 |
-
"epoch": 1.
|
313 |
-
"grad_norm":
|
314 |
-
"learning_rate":
|
315 |
"logits/chosen": NaN,
|
316 |
"logits/rejected": NaN,
|
317 |
-
"logps/chosen": -
|
318 |
-
"logps/rejected": -
|
319 |
-
"loss": 0.
|
320 |
-
"rewards/accuracies": 0.
|
321 |
-
"rewards/chosen": -0.
|
322 |
-
"rewards/margins":
|
323 |
-
"rewards/rejected": -
|
324 |
"step": 105
|
325 |
},
|
326 |
{
|
327 |
-
"epoch": 1.
|
328 |
-
"grad_norm":
|
329 |
-
"learning_rate":
|
330 |
"logits/chosen": NaN,
|
331 |
-
"logits/rejected":
|
332 |
-
"logps/chosen": -
|
333 |
-
"logps/rejected": -
|
334 |
-
"loss": 0.
|
335 |
-
"rewards/accuracies": 0.
|
336 |
-
"rewards/chosen": -0.
|
337 |
-
"rewards/margins": 0.
|
338 |
-
"rewards/rejected": -0.
|
339 |
"step": 110
|
340 |
},
|
341 |
{
|
342 |
-
"epoch": 1.
|
343 |
-
"grad_norm":
|
344 |
-
"learning_rate":
|
345 |
"logits/chosen": NaN,
|
346 |
"logits/rejected": NaN,
|
347 |
-
"logps/chosen": -
|
348 |
-
"logps/rejected": -
|
349 |
-
"loss": 0.
|
350 |
-
"rewards/accuracies": 0.
|
351 |
-
"rewards/chosen": -0.
|
352 |
-
"rewards/margins":
|
353 |
-
"rewards/rejected": -
|
354 |
"step": 115
|
355 |
},
|
356 |
{
|
357 |
-
"epoch": 1.
|
358 |
-
"grad_norm":
|
359 |
-
"learning_rate":
|
360 |
"logits/chosen": NaN,
|
361 |
-
"logits/rejected":
|
362 |
-
"logps/chosen": -
|
363 |
-
"logps/rejected": -
|
364 |
-
"loss": 0.
|
365 |
-
"rewards/accuracies": 0.
|
366 |
-
"rewards/chosen": -0.
|
367 |
-
"rewards/margins":
|
368 |
-
"rewards/rejected": -
|
369 |
"step": 120
|
370 |
},
|
371 |
{
|
372 |
-
"epoch": 1.
|
373 |
-
"grad_norm":
|
374 |
-
"learning_rate":
|
375 |
"logits/chosen": NaN,
|
376 |
"logits/rejected": NaN,
|
377 |
-
"logps/chosen": -
|
378 |
-
"logps/rejected": -
|
379 |
-
"loss": 0.
|
380 |
-
"rewards/accuracies": 0.
|
381 |
-
"rewards/chosen": -0.
|
382 |
-
"rewards/margins":
|
383 |
-
"rewards/rejected": -
|
384 |
"step": 125
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 1.
|
388 |
-
"grad_norm":
|
389 |
-
"learning_rate":
|
390 |
"logits/chosen": NaN,
|
391 |
"logits/rejected": NaN,
|
392 |
-
"logps/chosen": -
|
393 |
-
"logps/rejected": -
|
394 |
-
"loss": 0.
|
395 |
"rewards/accuracies": 0.7593749761581421,
|
396 |
-
"rewards/chosen": -0.
|
397 |
-
"rewards/margins": 1.
|
398 |
-
"rewards/rejected": -1.
|
399 |
"step": 130
|
400 |
},
|
401 |
{
|
402 |
-
"epoch": 1.
|
403 |
-
"grad_norm":
|
404 |
-
"learning_rate":
|
405 |
"logits/chosen": NaN,
|
406 |
"logits/rejected": NaN,
|
407 |
-
"logps/chosen": -
|
408 |
-
"logps/rejected": -
|
409 |
-
"loss": 0.
|
410 |
-
"rewards/accuracies": 0.
|
411 |
-
"rewards/chosen": -0.
|
412 |
-
"rewards/margins":
|
413 |
-
"rewards/rejected": -
|
414 |
"step": 135
|
415 |
},
|
416 |
{
|
417 |
-
"epoch": 1.
|
418 |
-
"grad_norm":
|
419 |
-
"learning_rate":
|
420 |
"logits/chosen": NaN,
|
421 |
"logits/rejected": NaN,
|
422 |
-
"logps/chosen": -
|
423 |
-
"logps/rejected": -
|
424 |
-
"loss": 0.
|
425 |
-
"rewards/accuracies": 0.
|
426 |
-
"rewards/chosen": -0.
|
427 |
-
"rewards/margins":
|
428 |
-
"rewards/rejected": -
|
429 |
"step": 140
|
430 |
},
|
431 |
{
|
432 |
-
"epoch": 1.
|
433 |
-
"grad_norm":
|
434 |
-
"learning_rate":
|
435 |
"logits/chosen": NaN,
|
436 |
-
"logits/rejected":
|
437 |
-
"logps/chosen": -
|
438 |
-
"logps/rejected": -
|
439 |
-
"loss": 0.
|
440 |
-
"rewards/accuracies": 0.
|
441 |
-
"rewards/chosen": -0.
|
442 |
-
"rewards/margins":
|
443 |
-
"rewards/rejected": -
|
444 |
"step": 145
|
445 |
},
|
446 |
{
|
447 |
-
"epoch": 1.
|
448 |
-
"grad_norm":
|
449 |
-
"learning_rate":
|
450 |
"logits/chosen": NaN,
|
451 |
-
"logits/rejected":
|
452 |
-
"logps/chosen": -
|
453 |
-
"logps/rejected": -
|
454 |
-
"loss": 0.
|
455 |
-
"rewards/accuracies": 0.
|
456 |
-
"rewards/chosen": -0.
|
457 |
-
"rewards/margins":
|
458 |
-
"rewards/rejected": -
|
459 |
"step": 150
|
460 |
},
|
461 |
{
|
462 |
-
"epoch": 1.
|
463 |
-
"grad_norm":
|
464 |
-
"learning_rate":
|
465 |
"logits/chosen": NaN,
|
466 |
"logits/rejected": NaN,
|
467 |
-
"logps/chosen": -
|
468 |
-
"logps/rejected": -
|
469 |
-
"loss": 0.
|
470 |
-
"rewards/accuracies": 0.
|
471 |
-
"rewards/chosen": -0.
|
472 |
-
"rewards/margins":
|
473 |
-
"rewards/rejected": -
|
474 |
"step": 155
|
475 |
},
|
476 |
{
|
477 |
-
"epoch": 1.
|
478 |
-
"grad_norm":
|
479 |
-
"learning_rate":
|
480 |
"logits/chosen": NaN,
|
481 |
-
"logits/rejected":
|
482 |
-
"logps/chosen": -
|
483 |
-
"logps/rejected": -
|
484 |
-
"loss": 0.
|
485 |
-
"rewards/accuracies": 0.
|
486 |
-
"rewards/chosen": -0.
|
487 |
-
"rewards/margins":
|
488 |
-
"rewards/rejected": -
|
489 |
"step": 160
|
490 |
},
|
491 |
{
|
492 |
-
"epoch": 1.
|
493 |
-
"grad_norm": 41.
|
494 |
-
"learning_rate":
|
495 |
"logits/chosen": NaN,
|
496 |
-
"logits/rejected":
|
497 |
-
"logps/chosen": -
|
498 |
-
"logps/rejected": -
|
499 |
-
"loss": 0.
|
500 |
-
"rewards/accuracies": 0.
|
501 |
-
"rewards/chosen": -0.
|
502 |
-
"rewards/margins": 1.
|
503 |
-
"rewards/rejected": -1.
|
504 |
"step": 165
|
505 |
},
|
506 |
{
|
507 |
-
"epoch": 1.
|
508 |
-
"grad_norm":
|
509 |
-
"learning_rate":
|
510 |
"logits/chosen": NaN,
|
511 |
-
"logits/rejected":
|
512 |
-
"logps/chosen": -
|
513 |
-
"logps/rejected": -
|
514 |
-
"loss": 0.
|
515 |
-
"rewards/accuracies": 0.
|
516 |
-
"rewards/chosen": -0.
|
517 |
-
"rewards/margins": 1.
|
518 |
-
"rewards/rejected": -1.
|
519 |
"step": 170
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 1.
|
523 |
-
"
|
524 |
-
"learning_rate": 2.4468085106382976e-08,
|
525 |
-
"logits/chosen": NaN,
|
526 |
-
"logits/rejected": NaN,
|
527 |
-
"logps/chosen": -350.2046813964844,
|
528 |
-
"logps/rejected": -433.5687561035156,
|
529 |
-
"loss": 0.4755,
|
530 |
-
"rewards/accuracies": 0.8031250238418579,
|
531 |
-
"rewards/chosen": -0.027071380987763405,
|
532 |
-
"rewards/margins": 1.4462082386016846,
|
533 |
-
"rewards/rejected": -1.4738037586212158,
|
534 |
-
"step": 175
|
535 |
-
},
|
536 |
-
{
|
537 |
-
"epoch": 1.8147448015122873,
|
538 |
-
"grad_norm": 46.67757830253006,
|
539 |
-
"learning_rate": 1.9148936170212764e-08,
|
540 |
-
"logits/chosen": NaN,
|
541 |
-
"logits/rejected": NaN,
|
542 |
-
"logps/chosen": -398.32501220703125,
|
543 |
-
"logps/rejected": -456.9437561035156,
|
544 |
-
"loss": 0.4807,
|
545 |
-
"rewards/accuracies": 0.746874988079071,
|
546 |
-
"rewards/chosen": -0.05414886400103569,
|
547 |
-
"rewards/margins": 1.2570632696151733,
|
548 |
-
"rewards/rejected": -1.310980200767517,
|
549 |
-
"step": 180
|
550 |
-
},
|
551 |
-
{
|
552 |
-
"epoch": 1.865154379332073,
|
553 |
-
"grad_norm": 43.636875496682755,
|
554 |
-
"learning_rate": 1.3829787234042552e-08,
|
555 |
-
"logits/chosen": NaN,
|
556 |
-
"logits/rejected": -0.17527160048484802,
|
557 |
-
"logps/chosen": -373.87188720703125,
|
558 |
-
"logps/rejected": -535.796875,
|
559 |
-
"loss": 0.4376,
|
560 |
-
"rewards/accuracies": 0.796875,
|
561 |
-
"rewards/chosen": -0.026004791259765625,
|
562 |
-
"rewards/margins": 1.6229279041290283,
|
563 |
-
"rewards/rejected": -1.649743676185608,
|
564 |
-
"step": 185
|
565 |
-
},
|
566 |
-
{
|
567 |
-
"epoch": 1.9155639571518588,
|
568 |
-
"grad_norm": 41.753332033000945,
|
569 |
-
"learning_rate": 8.510638297872339e-09,
|
570 |
-
"logits/chosen": NaN,
|
571 |
-
"logits/rejected": NaN,
|
572 |
-
"logps/chosen": -360.0718688964844,
|
573 |
-
"logps/rejected": -468.2124938964844,
|
574 |
-
"loss": 0.4872,
|
575 |
-
"rewards/accuracies": 0.731249988079071,
|
576 |
-
"rewards/chosen": -0.11498375236988068,
|
577 |
-
"rewards/margins": 1.2304840087890625,
|
578 |
-
"rewards/rejected": -1.345800757408142,
|
579 |
-
"step": 190
|
580 |
-
},
|
581 |
-
{
|
582 |
-
"epoch": 1.9659735349716447,
|
583 |
-
"grad_norm": 43.377545693326894,
|
584 |
-
"learning_rate": 3.1914893617021273e-09,
|
585 |
-
"logits/chosen": NaN,
|
586 |
-
"logits/rejected": NaN,
|
587 |
-
"logps/chosen": -365.515625,
|
588 |
-
"logps/rejected": -478.56561279296875,
|
589 |
-
"loss": 0.4805,
|
590 |
-
"rewards/accuracies": 0.7718750238418579,
|
591 |
-
"rewards/chosen": -0.04032173007726669,
|
592 |
-
"rewards/margins": 1.3543853759765625,
|
593 |
-
"rewards/rejected": -1.39520263671875,
|
594 |
-
"step": 195
|
595 |
-
},
|
596 |
-
{
|
597 |
-
"epoch": 1.996219281663516,
|
598 |
-
"step": 198,
|
599 |
"total_flos": 0.0,
|
600 |
-
"train_loss": 0.
|
601 |
-
"train_runtime":
|
602 |
-
"train_samples_per_second": 5.
|
603 |
-
"train_steps_per_second": 0.
|
604 |
}
|
605 |
],
|
606 |
"logging_steps": 5,
|
607 |
-
"max_steps":
|
608 |
"num_input_tokens_seen": 0,
|
609 |
"num_train_epochs": 2,
|
610 |
"save_steps": 50,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9971305595408895,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 174,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.05738880918220947,
|
13 |
+
"grad_norm": 147.0504219778771,
|
14 |
+
"learning_rate": 1.1111111111111111e-07,
|
15 |
"logits/chosen": NaN,
|
16 |
"logits/rejected": NaN,
|
17 |
+
"logps/chosen": -309.26251220703125,
|
18 |
+
"logps/rejected": -410.8433532714844,
|
19 |
+
"loss": 0.6899,
|
20 |
+
"rewards/accuracies": 0.17499999701976776,
|
21 |
+
"rewards/chosen": -0.002740192459896207,
|
22 |
+
"rewards/margins": 0.0071624754928052425,
|
23 |
+
"rewards/rejected": -0.00990285910665989,
|
24 |
"step": 5
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 0.11477761836441894,
|
28 |
+
"grad_norm": 123.58633090508155,
|
29 |
+
"learning_rate": 1.9878787878787876e-07,
|
30 |
"logits/chosen": NaN,
|
31 |
"logits/rejected": NaN,
|
32 |
+
"logps/chosen": -277.09844970703125,
|
33 |
+
"logps/rejected": -374.31719970703125,
|
34 |
+
"loss": 0.6926,
|
35 |
+
"rewards/accuracies": 0.2718749940395355,
|
36 |
+
"rewards/chosen": 0.0009648323175497353,
|
37 |
+
"rewards/margins": 0.00359344482421875,
|
38 |
+
"rewards/rejected": -0.0026039122603833675,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.17216642754662842,
|
43 |
+
"grad_norm": 82.52640749761395,
|
44 |
+
"learning_rate": 1.9272727272727272e-07,
|
45 |
"logits/chosen": NaN,
|
46 |
+
"logits/rejected": -0.355844110250473,
|
47 |
+
"logps/chosen": -250.90859985351562,
|
48 |
+
"logps/rejected": -288.7484436035156,
|
49 |
+
"loss": 0.6679,
|
50 |
+
"rewards/accuracies": 0.3656249940395355,
|
51 |
+
"rewards/chosen": -0.018105220049619675,
|
52 |
+
"rewards/margins": 0.07349129021167755,
|
53 |
+
"rewards/rejected": -0.09159164130687714,
|
54 |
"step": 15
|
55 |
},
|
56 |
{
|
57 |
+
"epoch": 0.22955523672883787,
|
58 |
+
"grad_norm": 46.811267261200435,
|
59 |
+
"learning_rate": 1.8666666666666667e-07,
|
60 |
"logits/chosen": NaN,
|
61 |
"logits/rejected": NaN,
|
62 |
+
"logps/chosen": -250.43203735351562,
|
63 |
+
"logps/rejected": -299.9468688964844,
|
64 |
+
"loss": 0.638,
|
65 |
+
"rewards/accuracies": 0.4124999940395355,
|
66 |
+
"rewards/chosen": -0.02562398836016655,
|
67 |
+
"rewards/margins": 0.21783074736595154,
|
68 |
+
"rewards/rejected": -0.24351105093955994,
|
69 |
"step": 20
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.28694404591104733,
|
73 |
+
"grad_norm": 44.812641031283796,
|
74 |
+
"learning_rate": 1.806060606060606e-07,
|
75 |
"logits/chosen": NaN,
|
76 |
+
"logits/rejected": -0.32989805936813354,
|
77 |
+
"logps/chosen": -264.3968811035156,
|
78 |
+
"logps/rejected": -420.49688720703125,
|
79 |
+
"loss": 0.6218,
|
80 |
+
"rewards/accuracies": 0.4625000059604645,
|
81 |
+
"rewards/chosen": -0.05606970936059952,
|
82 |
+
"rewards/margins": 0.3526493012905121,
|
83 |
+
"rewards/rejected": -0.4085969924926758,
|
84 |
"step": 25
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 0.34433285509325684,
|
88 |
+
"grad_norm": 41.09665846804977,
|
89 |
+
"learning_rate": 1.7454545454545453e-07,
|
90 |
"logits/chosen": NaN,
|
91 |
"logits/rejected": NaN,
|
92 |
+
"logps/chosen": -261.12969970703125,
|
93 |
+
"logps/rejected": -333.25665283203125,
|
94 |
+
"loss": 0.6433,
|
95 |
+
"rewards/accuracies": 0.453125,
|
96 |
+
"rewards/chosen": -0.05041093751788139,
|
97 |
+
"rewards/margins": 0.3066027760505676,
|
98 |
+
"rewards/rejected": -0.3569931983947754,
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.4017216642754663,
|
103 |
+
"grad_norm": 47.66979279242685,
|
104 |
+
"learning_rate": 1.6848484848484848e-07,
|
105 |
"logits/chosen": NaN,
|
106 |
"logits/rejected": NaN,
|
107 |
+
"logps/chosen": -252.76406860351562,
|
108 |
+
"logps/rejected": -320.32342529296875,
|
109 |
+
"loss": 0.611,
|
110 |
+
"rewards/accuracies": 0.546875,
|
111 |
+
"rewards/chosen": -0.07408180087804794,
|
112 |
+
"rewards/margins": 0.735063910484314,
|
113 |
+
"rewards/rejected": -0.8097826838493347,
|
114 |
"step": 35
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.45911047345767575,
|
118 |
+
"grad_norm": 44.453842871184655,
|
119 |
+
"learning_rate": 1.624242424242424e-07,
|
120 |
"logits/chosen": NaN,
|
121 |
"logits/rejected": NaN,
|
122 |
+
"logps/chosen": -282.52734375,
|
123 |
+
"logps/rejected": -314.4585876464844,
|
124 |
+
"loss": 0.6154,
|
125 |
+
"rewards/accuracies": 0.550000011920929,
|
126 |
+
"rewards/chosen": -0.08205080032348633,
|
127 |
+
"rewards/margins": 0.6658231616020203,
|
128 |
+
"rewards/rejected": -0.7472448348999023,
|
129 |
"step": 40
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.5164992826398852,
|
133 |
+
"grad_norm": 72.40873860390725,
|
134 |
+
"learning_rate": 1.5636363636363637e-07,
|
135 |
"logits/chosen": NaN,
|
136 |
+
"logits/rejected": NaN,
|
137 |
+
"logps/chosen": -246.61483764648438,
|
138 |
+
"logps/rejected": -324.8515625,
|
139 |
+
"loss": 0.6541,
|
140 |
+
"rewards/accuracies": 0.5562499761581421,
|
141 |
+
"rewards/chosen": -0.14140835404396057,
|
142 |
+
"rewards/margins": 0.6368468999862671,
|
143 |
+
"rewards/rejected": -0.7777351140975952,
|
144 |
"step": 45
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.5738880918220947,
|
148 |
+
"grad_norm": 51.33061405888651,
|
149 |
+
"learning_rate": 1.503030303030303e-07,
|
150 |
"logits/chosen": NaN,
|
151 |
+
"logits/rejected": -0.29754638671875,
|
152 |
+
"logps/chosen": -251.82656860351562,
|
153 |
+
"logps/rejected": -364.16094970703125,
|
154 |
+
"loss": 0.6061,
|
155 |
+
"rewards/accuracies": 0.5687500238418579,
|
156 |
+
"rewards/chosen": -0.097315214574337,
|
157 |
+
"rewards/margins": 0.7471939325332642,
|
158 |
+
"rewards/rejected": -0.8438205718994141,
|
159 |
"step": 50
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.6312769010043041,
|
163 |
+
"grad_norm": 47.78546749711004,
|
164 |
+
"learning_rate": 1.4424242424242422e-07,
|
165 |
"logits/chosen": NaN,
|
166 |
"logits/rejected": NaN,
|
167 |
+
"logps/chosen": -229.6281280517578,
|
168 |
+
"logps/rejected": -346.20623779296875,
|
169 |
+
"loss": 0.5885,
|
170 |
+
"rewards/accuracies": 0.596875011920929,
|
171 |
+
"rewards/chosen": -0.08479080349206924,
|
172 |
+
"rewards/margins": 0.9593955874443054,
|
173 |
+
"rewards/rejected": -1.0437196493148804,
|
174 |
"step": 55
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.6886657101865137,
|
178 |
+
"grad_norm": 32.88856633193689,
|
179 |
+
"learning_rate": 1.3818181818181818e-07,
|
180 |
"logits/chosen": NaN,
|
181 |
"logits/rejected": NaN,
|
182 |
+
"logps/chosen": -259.2515563964844,
|
183 |
+
"logps/rejected": -317.92498779296875,
|
184 |
+
"loss": 0.6109,
|
185 |
+
"rewards/accuracies": 0.640625,
|
186 |
+
"rewards/chosen": -0.09950466454029083,
|
187 |
+
"rewards/margins": 0.8476117849349976,
|
188 |
+
"rewards/rejected": -0.9464820623397827,
|
189 |
"step": 60
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 0.7460545193687231,
|
193 |
+
"grad_norm": 46.246379021501845,
|
194 |
+
"learning_rate": 1.3212121212121213e-07,
|
195 |
"logits/chosen": NaN,
|
196 |
"logits/rejected": NaN,
|
197 |
+
"logps/chosen": -258.0960998535156,
|
198 |
+
"logps/rejected": -290.5296936035156,
|
199 |
+
"loss": 0.617,
|
200 |
+
"rewards/accuracies": 0.640625,
|
201 |
+
"rewards/chosen": -0.1353795975446701,
|
202 |
+
"rewards/margins": 0.7194949984550476,
|
203 |
+
"rewards/rejected": -0.8551372289657593,
|
204 |
"step": 65
|
205 |
},
|
206 |
{
|
207 |
+
"epoch": 0.8034433285509326,
|
208 |
+
"grad_norm": 51.298985955922575,
|
209 |
+
"learning_rate": 1.2606060606060603e-07,
|
210 |
"logits/chosen": NaN,
|
211 |
"logits/rejected": NaN,
|
212 |
+
"logps/chosen": -290.3218688964844,
|
213 |
+
"logps/rejected": -378.1734313964844,
|
214 |
+
"loss": 0.5908,
|
215 |
+
"rewards/accuracies": 0.65625,
|
216 |
+
"rewards/chosen": -0.12958745658397675,
|
217 |
+
"rewards/margins": 0.8194991946220398,
|
218 |
+
"rewards/rejected": -0.9491798281669617,
|
219 |
"step": 70
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.860832137733142,
|
223 |
+
"grad_norm": 51.37452979537066,
|
224 |
+
"learning_rate": 1.2e-07,
|
225 |
"logits/chosen": NaN,
|
226 |
"logits/rejected": NaN,
|
227 |
+
"logps/chosen": -272.2359313964844,
|
228 |
+
"logps/rejected": -461.9546813964844,
|
229 |
+
"loss": 0.6139,
|
230 |
+
"rewards/accuracies": 0.596875011920929,
|
231 |
+
"rewards/chosen": -0.08674906194210052,
|
232 |
+
"rewards/margins": 0.7904602289199829,
|
233 |
+
"rewards/rejected": -0.8770895004272461,
|
234 |
"step": 75
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 0.9182209469153515,
|
238 |
+
"grad_norm": 49.12644933327405,
|
239 |
+
"learning_rate": 1.1393939393939393e-07,
|
240 |
"logits/chosen": NaN,
|
241 |
+
"logits/rejected": NaN,
|
242 |
+
"logps/chosen": -271.92657470703125,
|
243 |
+
"logps/rejected": -385.4671936035156,
|
244 |
+
"loss": 0.5887,
|
245 |
+
"rewards/accuracies": 0.6343749761581421,
|
246 |
+
"rewards/chosen": -0.12120027840137482,
|
247 |
+
"rewards/margins": 0.9173402786254883,
|
248 |
+
"rewards/rejected": -1.0387518405914307,
|
249 |
"step": 80
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.975609756097561,
|
253 |
+
"grad_norm": 78.67875740741145,
|
254 |
+
"learning_rate": 1.0787878787878789e-07,
|
255 |
"logits/chosen": NaN,
|
256 |
"logits/rejected": NaN,
|
257 |
+
"logps/chosen": -268.3734436035156,
|
258 |
+
"logps/rejected": -356.06561279296875,
|
259 |
+
"loss": 0.6094,
|
260 |
+
"rewards/accuracies": 0.621874988079071,
|
261 |
+
"rewards/chosen": -0.08560104668140411,
|
262 |
+
"rewards/margins": 0.7130492925643921,
|
263 |
+
"rewards/rejected": -0.7986106872558594,
|
264 |
"step": 85
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 1.0329985652797704,
|
268 |
+
"grad_norm": 37.99397160982797,
|
269 |
+
"learning_rate": 1.018181818181818e-07,
|
270 |
"logits/chosen": NaN,
|
271 |
+
"logits/rejected": -0.2726287841796875,
|
272 |
+
"logps/chosen": -278.57501220703125,
|
273 |
+
"logps/rejected": -375.9390563964844,
|
274 |
+
"loss": 0.5887,
|
275 |
+
"rewards/accuracies": 0.6499999761581421,
|
276 |
+
"rewards/chosen": -0.10773544013500214,
|
277 |
+
"rewards/margins": 0.7839363217353821,
|
278 |
+
"rewards/rejected": -0.892169177532196,
|
279 |
"step": 90
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 1.0903873744619799,
|
283 |
+
"grad_norm": 38.13934723090496,
|
284 |
+
"learning_rate": 9.575757575757574e-08,
|
285 |
"logits/chosen": NaN,
|
286 |
"logits/rejected": NaN,
|
287 |
+
"logps/chosen": -287.20001220703125,
|
288 |
+
"logps/rejected": -351.8617248535156,
|
289 |
+
"loss": 0.5602,
|
290 |
+
"rewards/accuracies": 0.684374988079071,
|
291 |
+
"rewards/chosen": -0.09619579464197159,
|
292 |
+
"rewards/margins": 0.9326726794242859,
|
293 |
+
"rewards/rejected": -1.0286362171173096,
|
294 |
"step": 95
|
295 |
},
|
296 |
{
|
297 |
+
"epoch": 1.1477761836441893,
|
298 |
+
"grad_norm": 59.66676077313003,
|
299 |
+
"learning_rate": 8.96969696969697e-08,
|
300 |
"logits/chosen": NaN,
|
301 |
"logits/rejected": NaN,
|
302 |
+
"logps/chosen": -253.2980499267578,
|
303 |
+
"logps/rejected": -323.6937561035156,
|
304 |
+
"loss": 0.5715,
|
305 |
+
"rewards/accuracies": 0.721875011920929,
|
306 |
+
"rewards/chosen": -0.09653882682323456,
|
307 |
+
"rewards/margins": 0.7721735239028931,
|
308 |
+
"rewards/rejected": -0.8687639236450195,
|
309 |
"step": 100
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 1.2051649928263988,
|
313 |
+
"grad_norm": 40.181942906152656,
|
314 |
+
"learning_rate": 8.363636363636363e-08,
|
315 |
"logits/chosen": NaN,
|
316 |
"logits/rejected": NaN,
|
317 |
+
"logps/chosen": -269.91796875,
|
318 |
+
"logps/rejected": -342.6031188964844,
|
319 |
+
"loss": 0.5733,
|
320 |
+
"rewards/accuracies": 0.6781250238418579,
|
321 |
+
"rewards/chosen": -0.1024196594953537,
|
322 |
+
"rewards/margins": 0.6281814575195312,
|
323 |
+
"rewards/rejected": -0.7303474545478821,
|
324 |
"step": 105
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 1.2625538020086085,
|
328 |
+
"grad_norm": 43.130194806696174,
|
329 |
+
"learning_rate": 7.757575757575757e-08,
|
330 |
"logits/chosen": NaN,
|
331 |
+
"logits/rejected": -0.28910523653030396,
|
332 |
+
"logps/chosen": -256.4398498535156,
|
333 |
+
"logps/rejected": -315.8851623535156,
|
334 |
+
"loss": 0.5609,
|
335 |
+
"rewards/accuracies": 0.7406250238418579,
|
336 |
+
"rewards/chosen": -0.05760955810546875,
|
337 |
+
"rewards/margins": 0.8904060125350952,
|
338 |
+
"rewards/rejected": -0.948272705078125,
|
339 |
"step": 110
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 1.3199426111908177,
|
343 |
+
"grad_norm": 40.187136674467965,
|
344 |
+
"learning_rate": 7.151515151515152e-08,
|
345 |
"logits/chosen": NaN,
|
346 |
"logits/rejected": NaN,
|
347 |
+
"logps/chosen": -286.8125,
|
348 |
+
"logps/rejected": -305.38751220703125,
|
349 |
+
"loss": 0.5859,
|
350 |
+
"rewards/accuracies": 0.684374988079071,
|
351 |
+
"rewards/chosen": -0.05495605617761612,
|
352 |
+
"rewards/margins": 0.7184921503067017,
|
353 |
+
"rewards/rejected": -0.7738761901855469,
|
354 |
"step": 115
|
355 |
},
|
356 |
{
|
357 |
+
"epoch": 1.3773314203730274,
|
358 |
+
"grad_norm": 62.26850922502401,
|
359 |
+
"learning_rate": 6.545454545454545e-08,
|
360 |
"logits/chosen": NaN,
|
361 |
+
"logits/rejected": NaN,
|
362 |
+
"logps/chosen": -281.8828125,
|
363 |
+
"logps/rejected": -348.609375,
|
364 |
+
"loss": 0.5641,
|
365 |
+
"rewards/accuracies": 0.715624988079071,
|
366 |
+
"rewards/chosen": -0.0843501091003418,
|
367 |
+
"rewards/margins": 0.8600600957870483,
|
368 |
+
"rewards/rejected": -0.9451843500137329,
|
369 |
"step": 120
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 1.4347202295552366,
|
373 |
+
"grad_norm": 40.00896779584937,
|
374 |
+
"learning_rate": 5.93939393939394e-08,
|
375 |
"logits/chosen": NaN,
|
376 |
"logits/rejected": NaN,
|
377 |
+
"logps/chosen": -289.64959716796875,
|
378 |
+
"logps/rejected": -378.01873779296875,
|
379 |
+
"loss": 0.5644,
|
380 |
+
"rewards/accuracies": 0.7562500238418579,
|
381 |
+
"rewards/chosen": -0.06678199768066406,
|
382 |
+
"rewards/margins": 0.8301635980606079,
|
383 |
+
"rewards/rejected": -0.8972938656806946,
|
384 |
"step": 125
|
385 |
},
|
386 |
{
|
387 |
+
"epoch": 1.4921090387374463,
|
388 |
+
"grad_norm": 33.42224905779865,
|
389 |
+
"learning_rate": 5.333333333333333e-08,
|
390 |
"logits/chosen": NaN,
|
391 |
"logits/rejected": NaN,
|
392 |
+
"logps/chosen": -228.01406860351562,
|
393 |
+
"logps/rejected": -385.5078125,
|
394 |
+
"loss": 0.5231,
|
395 |
"rewards/accuracies": 0.7593749761581421,
|
396 |
+
"rewards/chosen": -0.06652259826660156,
|
397 |
+
"rewards/margins": 1.106951117515564,
|
398 |
+
"rewards/rejected": -1.173893690109253,
|
399 |
"step": 130
|
400 |
},
|
401 |
{
|
402 |
+
"epoch": 1.5494978479196555,
|
403 |
+
"grad_norm": 35.377034170414966,
|
404 |
+
"learning_rate": 4.727272727272727e-08,
|
405 |
"logits/chosen": NaN,
|
406 |
"logits/rejected": NaN,
|
407 |
+
"logps/chosen": -276.4312438964844,
|
408 |
+
"logps/rejected": -374.94219970703125,
|
409 |
+
"loss": 0.5493,
|
410 |
+
"rewards/accuracies": 0.753125011920929,
|
411 |
+
"rewards/chosen": -0.07003593444824219,
|
412 |
+
"rewards/margins": 0.8382889032363892,
|
413 |
+
"rewards/rejected": -0.9086562991142273,
|
414 |
"step": 135
|
415 |
},
|
416 |
{
|
417 |
+
"epoch": 1.6068866571018652,
|
418 |
+
"grad_norm": 42.98104883723141,
|
419 |
+
"learning_rate": 4.121212121212121e-08,
|
420 |
"logits/chosen": NaN,
|
421 |
"logits/rejected": NaN,
|
422 |
+
"logps/chosen": -245.8046875,
|
423 |
+
"logps/rejected": -332.34844970703125,
|
424 |
+
"loss": 0.5553,
|
425 |
+
"rewards/accuracies": 0.731249988079071,
|
426 |
+
"rewards/chosen": -0.09261999279260635,
|
427 |
+
"rewards/margins": 0.8664749264717102,
|
428 |
+
"rewards/rejected": -0.9593642950057983,
|
429 |
"step": 140
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 1.6642754662840746,
|
433 |
+
"grad_norm": 41.194723091835506,
|
434 |
+
"learning_rate": 3.5151515151515146e-08,
|
435 |
"logits/chosen": NaN,
|
436 |
+
"logits/rejected": NaN,
|
437 |
+
"logps/chosen": -271.9007873535156,
|
438 |
+
"logps/rejected": -372.2890625,
|
439 |
+
"loss": 0.576,
|
440 |
+
"rewards/accuracies": 0.703125,
|
441 |
+
"rewards/chosen": -0.10253047943115234,
|
442 |
+
"rewards/margins": 0.6510879397392273,
|
443 |
+
"rewards/rejected": -0.7538429498672485,
|
444 |
"step": 145
|
445 |
},
|
446 |
{
|
447 |
+
"epoch": 1.721664275466284,
|
448 |
+
"grad_norm": 44.50624051602098,
|
449 |
+
"learning_rate": 2.9090909090909088e-08,
|
450 |
"logits/chosen": NaN,
|
451 |
+
"logits/rejected": -0.3272903561592102,
|
452 |
+
"logps/chosen": -241.9031219482422,
|
453 |
+
"logps/rejected": -336.61407470703125,
|
454 |
+
"loss": 0.557,
|
455 |
+
"rewards/accuracies": 0.699999988079071,
|
456 |
+
"rewards/chosen": -0.09629325568675995,
|
457 |
+
"rewards/margins": 0.7580966949462891,
|
458 |
+
"rewards/rejected": -0.8545807003974915,
|
459 |
"step": 150
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 1.7790530846484935,
|
463 |
+
"grad_norm": 35.414071145451,
|
464 |
+
"learning_rate": 2.303030303030303e-08,
|
465 |
"logits/chosen": NaN,
|
466 |
"logits/rejected": NaN,
|
467 |
+
"logps/chosen": -249.95938110351562,
|
468 |
+
"logps/rejected": -301.9765625,
|
469 |
+
"loss": 0.5675,
|
470 |
+
"rewards/accuracies": 0.778124988079071,
|
471 |
+
"rewards/chosen": -0.08613376319408417,
|
472 |
+
"rewards/margins": 0.8244568109512329,
|
473 |
+
"rewards/rejected": -0.9111496210098267,
|
474 |
"step": 155
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 1.836441893830703,
|
478 |
+
"grad_norm": 38.330459518863954,
|
479 |
+
"learning_rate": 1.696969696969697e-08,
|
480 |
"logits/chosen": NaN,
|
481 |
+
"logits/rejected": -0.393698126077652,
|
482 |
+
"logps/chosen": -262.72186279296875,
|
483 |
+
"logps/rejected": -394.54217529296875,
|
484 |
+
"loss": 0.5666,
|
485 |
+
"rewards/accuracies": 0.71875,
|
486 |
+
"rewards/chosen": -0.09622383117675781,
|
487 |
+
"rewards/margins": 0.8662067651748657,
|
488 |
+
"rewards/rejected": -0.9627344012260437,
|
489 |
"step": 160
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 1.8938307030129125,
|
493 |
+
"grad_norm": 41.39148819542555,
|
494 |
+
"learning_rate": 1.0909090909090908e-08,
|
495 |
"logits/chosen": NaN,
|
496 |
+
"logits/rejected": -0.3541931211948395,
|
497 |
+
"logps/chosen": -286.5625,
|
498 |
+
"logps/rejected": -391.0406188964844,
|
499 |
+
"loss": 0.5354,
|
500 |
+
"rewards/accuracies": 0.75,
|
501 |
+
"rewards/chosen": -0.07141885906457901,
|
502 |
+
"rewards/margins": 1.0486961603164673,
|
503 |
+
"rewards/rejected": -1.120294213294983,
|
504 |
"step": 165
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 1.951219512195122,
|
508 |
+
"grad_norm": 39.2547263324904,
|
509 |
+
"learning_rate": 4.848484848484848e-09,
|
510 |
"logits/chosen": NaN,
|
511 |
+
"logits/rejected": -0.39358216524124146,
|
512 |
+
"logps/chosen": -267.47265625,
|
513 |
+
"logps/rejected": -372.5625,
|
514 |
+
"loss": 0.5478,
|
515 |
+
"rewards/accuracies": 0.706250011920929,
|
516 |
+
"rewards/chosen": -0.05818195268511772,
|
517 |
+
"rewards/margins": 1.0078842639923096,
|
518 |
+
"rewards/rejected": -1.065637230873108,
|
519 |
"step": 170
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 1.9971305595408895,
|
523 |
+
"step": 174,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
524 |
"total_flos": 0.0,
|
525 |
+
"train_loss": 0.5929731760901966,
|
526 |
+
"train_runtime": 2030.2211,
|
527 |
+
"train_samples_per_second": 5.493,
|
528 |
+
"train_steps_per_second": 0.086
|
529 |
}
|
530 |
],
|
531 |
"logging_steps": 5,
|
532 |
+
"max_steps": 174,
|
533 |
"num_input_tokens_seen": 0,
|
534 |
"num_train_epochs": 2,
|
535 |
"save_steps": 50,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 7672
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c63478df6f2cc0a8edc66dba8ca06784108c3576df8e676705056d7247719f8
|
3 |
size 7672
|