Model save
Browse files- README.md +1 -1
- all_results.json +5 -5
- 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 +5 -5
- trainer_state.json +823 -641
- training_args.bin +1 -1
README.md
CHANGED
@@ -35,7 +35,7 @@ The following hyperparameters were used during training:
|
|
35 |
- learning_rate: 1e-06
|
36 |
- train_batch_size: 2
|
37 |
- eval_batch_size: 8
|
38 |
-
- seed:
|
39 |
- distributed_type: multi-GPU
|
40 |
- num_devices: 8
|
41 |
- gradient_accumulation_steps: 8
|
|
|
35 |
- learning_rate: 1e-06
|
36 |
- train_batch_size: 2
|
37 |
- eval_batch_size: 8
|
38 |
+
- seed: 2
|
39 |
- distributed_type: multi-GPU
|
40 |
- num_devices: 8
|
41 |
- gradient_accumulation_steps: 8
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 8.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.0,
|
3 |
+
"train_loss": 0.5407548575334146,
|
4 |
+
"train_runtime": 10382.7821,
|
5 |
+
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.774,
|
7 |
+
"train_steps_per_second": 0.068
|
8 |
}
|
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:f5fe4288e0a548624dde43de0a52827f920f75036371a401f4802c6559686b85
|
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 sha256:05a91ac86fed729b227a85c23a32b80f447f76f43e88b8fc71ab73e747c36331
|
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:b3527625878dae3b5d2ff8b6e7b96aa2f5fd8b0df8ba1c760622ef3f9fc8f4e5
|
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 sha256:7cb34bcd04c59efbf8ba150596a40f797ad20adebd35f851806967b3528b4756
|
3 |
size 1168138808
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 8.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.0,
|
3 |
+
"train_loss": 0.5407548575334146,
|
4 |
+
"train_runtime": 10382.7821,
|
5 |
+
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.774,
|
7 |
+
"train_steps_per_second": 0.068
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,837 +1,1019 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 1.
|
5 |
"eval_steps": 10000,
|
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": 0.03,
|
13 |
-
"learning_rate": 1.
|
14 |
-
"logits/chosen": -0.
|
15 |
-
"logits/rejected":
|
16 |
-
"logps/chosen": -
|
17 |
-
"logps/rejected": -
|
18 |
-
"loss": 0.
|
19 |
-
"rewards/accuracies": 0.
|
20 |
-
"rewards/chosen":
|
21 |
-
"rewards/margins":
|
22 |
-
"rewards/rejected":
|
23 |
"step": 10
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"learning_rate":
|
28 |
-
"logits/chosen": -0.
|
29 |
-
"logits/rejected": -0.
|
30 |
-
"logps/chosen": -
|
31 |
-
"logps/rejected": -
|
32 |
-
"loss": 0.
|
33 |
-
"rewards/accuracies": 0.
|
34 |
-
"rewards/chosen":
|
35 |
-
"rewards/margins":
|
36 |
-
"rewards/rejected": -0.
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"learning_rate":
|
42 |
-
"logits/chosen": 0.
|
43 |
-
"logits/rejected": 0.
|
44 |
-
"logps/chosen": -
|
45 |
-
"logps/rejected": -
|
46 |
-
"loss": 0.
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen": -0.
|
49 |
-
"rewards/margins":
|
50 |
-
"rewards/rejected":
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate":
|
56 |
-
"logits/chosen": 0.
|
57 |
-
"logits/rejected": 0.
|
58 |
-
"logps/chosen": -
|
59 |
-
"logps/rejected": -
|
60 |
-
"loss": 0.
|
61 |
-
"rewards/accuracies": 0.
|
62 |
-
"rewards/chosen": 0.
|
63 |
-
"rewards/margins":
|
64 |
-
"rewards/rejected": 0.
|
65 |
"step": 40
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"learning_rate":
|
70 |
-
"logits/chosen":
|
71 |
-
"logits/rejected":
|
72 |
-
"logps/chosen": -
|
73 |
-
"logps/rejected": -
|
74 |
-
"loss": 0.
|
75 |
-
"rewards/accuracies": 0.
|
76 |
-
"rewards/chosen": 0.
|
77 |
-
"rewards/margins": 0.
|
78 |
-
"rewards/rejected": 0.
|
79 |
"step": 50
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"learning_rate":
|
84 |
-
"logits/chosen": 0.
|
85 |
-
"logits/rejected": 0.
|
86 |
-
"logps/chosen": -
|
87 |
-
"logps/rejected": -
|
88 |
-
"loss": 0.
|
89 |
-
"rewards/accuracies": 0.
|
90 |
-
"rewards/chosen": 0.
|
91 |
-
"rewards/margins":
|
92 |
-
"rewards/rejected": 0.
|
93 |
"step": 60
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate": 9.
|
98 |
-
"logits/chosen": -0.
|
99 |
-
"logits/rejected": 0.
|
100 |
-
"logps/chosen": -
|
101 |
-
"logps/rejected": -
|
102 |
-
"loss": 0.
|
103 |
-
"rewards/accuracies": 0.
|
104 |
-
"rewards/chosen": -0.
|
105 |
-
"rewards/margins": 0.
|
106 |
-
"rewards/rejected": -0.
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0.
|
111 |
-
"learning_rate": 9.
|
112 |
-
"logits/chosen": 0.
|
113 |
-
"logits/rejected": 0.
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
118 |
-
"rewards/chosen": 0.
|
119 |
-
"rewards/margins": 0.
|
120 |
-
"rewards/rejected": -0.
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"learning_rate": 9.
|
126 |
-
"logits/chosen": -0.
|
127 |
-
"logits/rejected":
|
128 |
-
"logps/chosen": -
|
129 |
-
"logps/rejected": -
|
130 |
-
"loss": 0.
|
131 |
-
"rewards/accuracies": 0.
|
132 |
-
"rewards/chosen":
|
133 |
-
"rewards/margins": 0.
|
134 |
-
"rewards/rejected": -0.
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"learning_rate": 9.
|
140 |
-
"logits/chosen": -0.
|
141 |
-
"logits/rejected":
|
142 |
-
"logps/chosen": -
|
143 |
-
"logps/rejected": -
|
144 |
-
"loss": 0.
|
145 |
-
"rewards/accuracies": 0.
|
146 |
-
"rewards/chosen":
|
147 |
-
"rewards/margins": 0.
|
148 |
-
"rewards/rejected": -0.
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"learning_rate": 9.
|
154 |
-
"logits/chosen": -0.
|
155 |
-
"logits/rejected":
|
156 |
-
"logps/chosen": -
|
157 |
-
"logps/rejected": -
|
158 |
-
"loss": 0.
|
159 |
"rewards/accuracies": 0.59375,
|
160 |
-
"rewards/chosen":
|
161 |
-
"rewards/margins": 0.
|
162 |
-
"rewards/rejected": -0.
|
163 |
"step": 110
|
164 |
},
|
165 |
{
|
166 |
-
"epoch": 0.
|
167 |
-
"learning_rate": 9.
|
168 |
-
"logits/chosen": -0.
|
169 |
-
"logits/rejected": -0.
|
170 |
-
"logps/chosen": -
|
171 |
-
"logps/rejected": -
|
172 |
-
"loss": 0.
|
173 |
-
"rewards/accuracies": 0.
|
174 |
-
"rewards/chosen":
|
175 |
-
"rewards/margins": 0.
|
176 |
-
"rewards/rejected": -0.
|
177 |
"step": 120
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
-
"learning_rate": 9.
|
182 |
-
"logits/chosen": 0.
|
183 |
-
"logits/rejected": -0.
|
184 |
-
"logps/chosen": -
|
185 |
-
"logps/rejected": -
|
186 |
-
"loss": 0.
|
187 |
-
"rewards/accuracies": 0.
|
188 |
-
"rewards/chosen": -0.
|
189 |
-
"rewards/margins": 0.
|
190 |
-
"rewards/rejected": -0.
|
191 |
"step": 130
|
192 |
},
|
193 |
{
|
194 |
-
"epoch": 0.
|
195 |
-
"learning_rate": 9.
|
196 |
-
"logits/chosen": -0.
|
197 |
-
"logits/rejected": -0.
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -
|
200 |
-
"loss": 0.
|
201 |
-
"rewards/accuracies": 0.
|
202 |
-
"rewards/chosen": -0.
|
203 |
-
"rewards/margins": 0.
|
204 |
-
"rewards/rejected": -0.
|
205 |
"step": 140
|
206 |
},
|
207 |
{
|
208 |
-
"epoch": 0.
|
209 |
-
"learning_rate": 9.
|
210 |
-
"logits/chosen": -0.
|
211 |
-
"logits/rejected": 0.
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen": -0.
|
217 |
-
"rewards/margins": 0.
|
218 |
-
"rewards/rejected": -0.
|
219 |
"step": 150
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"learning_rate": 9.
|
224 |
-
"logits/chosen": -0.
|
225 |
-
"logits/rejected": -0.
|
226 |
-
"logps/chosen": -
|
227 |
-
"logps/rejected": -
|
228 |
-
"loss": 0.
|
229 |
-
"rewards/accuracies": 0.
|
230 |
-
"rewards/chosen":
|
231 |
-
"rewards/margins": 0.
|
232 |
-
"rewards/rejected": -0.
|
233 |
"step": 160
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 0.
|
237 |
-
"learning_rate":
|
238 |
-
"logits/chosen": -0.
|
239 |
-
"logits/rejected": -0.
|
240 |
-
"logps/chosen": -
|
241 |
-
"logps/rejected": -
|
242 |
-
"loss": 0.
|
243 |
-
"rewards/accuracies": 0.
|
244 |
-
"rewards/chosen":
|
245 |
-
"rewards/margins": 0.
|
246 |
-
"rewards/rejected": -0.
|
247 |
"step": 170
|
248 |
},
|
249 |
{
|
250 |
-
"epoch": 0.
|
251 |
-
"learning_rate":
|
252 |
-
"logits/chosen": -0.
|
253 |
-
"logits/rejected": 0.
|
254 |
-
"logps/chosen": -
|
255 |
-
"logps/rejected": -
|
256 |
-
"loss": 0.
|
257 |
-
"rewards/accuracies": 0.
|
258 |
-
"rewards/chosen": -0.
|
259 |
-
"rewards/margins": 0.
|
260 |
-
"rewards/rejected": -0.
|
261 |
"step": 180
|
262 |
},
|
263 |
{
|
264 |
-
"epoch": 0.
|
265 |
-
"learning_rate":
|
266 |
-
"logits/chosen": -0.
|
267 |
-
"logits/rejected": 0.
|
268 |
-
"logps/chosen": -
|
269 |
-
"logps/rejected": -
|
270 |
-
"loss": 0.
|
271 |
-
"rewards/accuracies": 0.
|
272 |
-
"rewards/chosen": -0.
|
273 |
-
"rewards/margins": 0.
|
274 |
-
"rewards/rejected": -0.
|
275 |
"step": 190
|
276 |
},
|
277 |
{
|
278 |
-
"epoch": 0.
|
279 |
-
"learning_rate":
|
280 |
-
"logits/chosen": -0.
|
281 |
-
"logits/rejected": -0.
|
282 |
-
"logps/chosen": -
|
283 |
-
"logps/rejected": -
|
284 |
-
"loss": 0.
|
285 |
-
"rewards/accuracies": 0.
|
286 |
-
"rewards/chosen": -0.
|
287 |
-
"rewards/margins": 0.
|
288 |
-
"rewards/rejected": -0.
|
289 |
"step": 200
|
290 |
},
|
291 |
{
|
292 |
-
"epoch": 0.
|
293 |
-
"learning_rate": 8.
|
294 |
-
"logits/chosen": 0.
|
295 |
-
"logits/rejected": 0.
|
296 |
-
"logps/chosen": -
|
297 |
-
"logps/rejected": -
|
298 |
-
"loss": 0.
|
299 |
-
"rewards/accuracies": 0.
|
300 |
-
"rewards/chosen": -0.
|
301 |
-
"rewards/margins": 0.
|
302 |
-
"rewards/rejected": -0.
|
303 |
"step": 210
|
304 |
},
|
305 |
{
|
306 |
-
"epoch": 0.
|
307 |
-
"learning_rate":
|
308 |
-
"logits/chosen": -0.
|
309 |
-
"logits/rejected": 0.
|
310 |
-
"logps/chosen": -
|
311 |
-
"logps/rejected": -
|
312 |
-
"loss": 0.
|
313 |
-
"rewards/accuracies": 0.
|
314 |
-
"rewards/chosen": -0.
|
315 |
-
"rewards/margins": 0.
|
316 |
-
"rewards/rejected": -0.
|
317 |
"step": 220
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 0.
|
321 |
-
"learning_rate":
|
322 |
-
"logits/chosen": 0.
|
323 |
-
"logits/rejected": 0.
|
324 |
-
"logps/chosen": -
|
325 |
-
"logps/rejected": -
|
326 |
-
"loss": 0.
|
327 |
-
"rewards/accuracies": 0.
|
328 |
-
"rewards/chosen": -0.
|
329 |
-
"rewards/margins": 0.
|
330 |
-
"rewards/rejected": -0.
|
331 |
"step": 230
|
332 |
},
|
333 |
{
|
334 |
-
"epoch": 0.
|
335 |
-
"learning_rate":
|
336 |
-
"logits/chosen": 0.
|
337 |
-
"logits/rejected": 0.
|
338 |
-
"logps/chosen": -
|
339 |
-
"logps/rejected": -
|
340 |
-
"loss": 0.
|
341 |
"rewards/accuracies": 0.612500011920929,
|
342 |
-
"rewards/chosen": -0.
|
343 |
-
"rewards/margins": 0.
|
344 |
-
"rewards/rejected": -0.
|
345 |
"step": 240
|
346 |
},
|
347 |
{
|
348 |
-
"epoch": 0.
|
349 |
-
"learning_rate":
|
350 |
-
"logits/chosen": -0.
|
351 |
-
"logits/rejected": 0.
|
352 |
-
"logps/chosen": -
|
353 |
-
"logps/rejected": -
|
354 |
-
"loss": 0.
|
355 |
-
"rewards/accuracies": 0.
|
356 |
-
"rewards/chosen": -0.
|
357 |
-
"rewards/margins": 0.
|
358 |
-
"rewards/rejected": -0.
|
359 |
"step": 250
|
360 |
},
|
361 |
{
|
362 |
-
"epoch": 0.
|
363 |
-
"learning_rate":
|
364 |
-
"logits/chosen": -0.
|
365 |
-
"logits/rejected": 0.
|
366 |
-
"logps/chosen": -
|
367 |
-
"logps/rejected": -
|
368 |
-
"loss": 0.
|
369 |
-
"rewards/accuracies": 0.
|
370 |
-
"rewards/chosen": -0.
|
371 |
-
"rewards/margins": 0.
|
372 |
-
"rewards/rejected": -0.
|
373 |
"step": 260
|
374 |
},
|
375 |
{
|
376 |
-
"epoch": 0.
|
377 |
-
"learning_rate":
|
378 |
-
"logits/chosen": 0.
|
379 |
-
"logits/rejected": 0.
|
380 |
-
"logps/chosen": -
|
381 |
-
"logps/rejected": -
|
382 |
-
"loss": 0.
|
383 |
-
"rewards/accuracies": 0.
|
384 |
-
"rewards/chosen": -0.
|
385 |
-
"rewards/margins": 0.
|
386 |
-
"rewards/rejected": -0.
|
387 |
"step": 270
|
388 |
},
|
389 |
{
|
390 |
-
"epoch": 0.
|
391 |
-
"learning_rate":
|
392 |
-
"logits/chosen": 0.
|
393 |
-
"logits/rejected": 0.
|
394 |
-
"logps/chosen": -
|
395 |
-
"logps/rejected": -
|
396 |
-
"loss": 0.
|
397 |
-
"rewards/accuracies": 0.
|
398 |
-
"rewards/chosen": -0.
|
399 |
-
"rewards/margins": 0.
|
400 |
-
"rewards/rejected": -0.
|
401 |
"step": 280
|
402 |
},
|
403 |
{
|
404 |
-
"epoch":
|
405 |
-
"learning_rate":
|
406 |
-
"logits/chosen": 0.
|
407 |
-
"logits/rejected": 0.
|
408 |
-
"logps/chosen": -
|
409 |
-
"logps/rejected": -
|
410 |
-
"loss": 0.
|
411 |
-
"rewards/accuracies": 0.
|
412 |
-
"rewards/chosen": -0.
|
413 |
-
"rewards/margins": 0.
|
414 |
-
"rewards/rejected": -0.
|
415 |
"step": 290
|
416 |
},
|
417 |
{
|
418 |
-
"epoch":
|
419 |
-
"learning_rate":
|
420 |
-
"logits/chosen": 0.
|
421 |
-
"logits/rejected": 0.
|
422 |
-
"logps/chosen": -
|
423 |
-
"logps/rejected": -
|
424 |
-
"loss": 0.
|
425 |
-
"rewards/accuracies": 0.
|
426 |
-
"rewards/chosen": -0.
|
427 |
-
"rewards/margins": 0.
|
428 |
-
"rewards/rejected": -0.
|
429 |
"step": 300
|
430 |
},
|
431 |
{
|
432 |
-
"epoch":
|
433 |
-
"learning_rate":
|
434 |
-
"logits/chosen": 0.
|
435 |
-
"logits/rejected": 0.
|
436 |
-
"logps/chosen": -
|
437 |
-
"logps/rejected": -
|
438 |
-
"loss": 0.
|
439 |
-
"rewards/accuracies": 0.
|
440 |
-
"rewards/chosen": -0.
|
441 |
-
"rewards/margins": 0.
|
442 |
-
"rewards/rejected": -
|
443 |
"step": 310
|
444 |
},
|
445 |
{
|
446 |
-
"epoch":
|
447 |
-
"learning_rate":
|
448 |
-
"logits/chosen": 0.
|
449 |
-
"logits/rejected": 0.
|
450 |
-
"logps/chosen": -
|
451 |
-
"logps/rejected": -
|
452 |
-
"loss": 0.
|
453 |
-
"rewards/accuracies": 0.
|
454 |
-
"rewards/chosen": -0.
|
455 |
-
"rewards/margins": 0.
|
456 |
-
"rewards/rejected": -
|
457 |
"step": 320
|
458 |
},
|
459 |
{
|
460 |
-
"epoch":
|
461 |
-
"learning_rate":
|
462 |
-
"logits/chosen": 0.
|
463 |
-
"logits/rejected": 0.
|
464 |
-
"logps/chosen": -
|
465 |
-
"logps/rejected": -
|
466 |
-
"loss": 0.
|
467 |
-
"rewards/accuracies": 0.
|
468 |
-
"rewards/chosen": -
|
469 |
-
"rewards/margins": 0.
|
470 |
-
"rewards/rejected": -
|
471 |
"step": 330
|
472 |
},
|
473 |
{
|
474 |
-
"epoch":
|
475 |
-
"learning_rate":
|
476 |
-
"logits/chosen": 0.
|
477 |
-
"logits/rejected": 0.
|
478 |
-
"logps/chosen": -
|
479 |
-
"logps/rejected": -
|
480 |
-
"loss": 0.
|
481 |
-
"rewards/accuracies": 0.
|
482 |
-
"rewards/chosen": -
|
483 |
-
"rewards/margins": 0.
|
484 |
-
"rewards/rejected": -
|
485 |
"step": 340
|
486 |
},
|
487 |
{
|
488 |
-
"epoch":
|
489 |
-
"learning_rate":
|
490 |
-
"logits/chosen": 0.
|
491 |
-
"logits/rejected": 0.
|
492 |
-
"logps/chosen": -
|
493 |
-
"logps/rejected": -
|
494 |
-
"loss": 0.
|
495 |
-
"rewards/accuracies": 0.
|
496 |
-
"rewards/chosen": -
|
497 |
-
"rewards/margins": 0.
|
498 |
-
"rewards/rejected": -
|
499 |
"step": 350
|
500 |
},
|
501 |
{
|
502 |
-
"epoch": 1.
|
503 |
-
"learning_rate":
|
504 |
-
"logits/chosen": 0.
|
505 |
-
"logits/rejected": 0.
|
506 |
-
"logps/chosen": -
|
507 |
-
"logps/rejected": -
|
508 |
-
"loss": 0.
|
509 |
-
"rewards/accuracies": 0.
|
510 |
-
"rewards/chosen": -
|
511 |
-
"rewards/margins": 0.
|
512 |
-
"rewards/rejected": -
|
513 |
"step": 360
|
514 |
},
|
515 |
{
|
516 |
-
"epoch": 1.
|
517 |
-
"learning_rate":
|
518 |
-
"logits/chosen": 0.
|
519 |
-
"logits/rejected": 0.
|
520 |
-
"logps/chosen": -
|
521 |
-
"logps/rejected": -
|
522 |
-
"loss": 0.
|
523 |
-
"rewards/accuracies": 0.
|
524 |
-
"rewards/chosen": -
|
525 |
-
"rewards/margins": 0.
|
526 |
-
"rewards/rejected": -
|
527 |
"step": 370
|
528 |
},
|
529 |
{
|
530 |
-
"epoch": 1.
|
531 |
-
"learning_rate":
|
532 |
-
"logits/chosen": 0.
|
533 |
-
"logits/rejected": 0.
|
534 |
-
"logps/chosen": -
|
535 |
-
"logps/rejected": -
|
536 |
-
"loss": 0.
|
537 |
-
"rewards/accuracies": 0.
|
538 |
-
"rewards/chosen": -
|
539 |
-
"rewards/margins": 0.
|
540 |
-
"rewards/rejected": -
|
541 |
"step": 380
|
542 |
},
|
543 |
{
|
544 |
-
"epoch": 1.
|
545 |
-
"learning_rate":
|
546 |
-
"logits/chosen": 0.
|
547 |
-
"logits/rejected": 0.
|
548 |
-
"logps/chosen": -
|
549 |
-
"logps/rejected": -
|
550 |
-
"loss": 0.
|
551 |
-
"rewards/accuracies": 0.
|
552 |
-
"rewards/chosen": -
|
553 |
-
"rewards/margins": 0.
|
554 |
-
"rewards/rejected": -
|
555 |
"step": 390
|
556 |
},
|
557 |
{
|
558 |
-
"epoch": 1.
|
559 |
-
"learning_rate":
|
560 |
-
"logits/chosen": 0.
|
561 |
-
"logits/rejected": 0.
|
562 |
-
"logps/chosen": -
|
563 |
-
"logps/rejected": -
|
564 |
-
"loss": 0.
|
565 |
-
"rewards/accuracies": 0.
|
566 |
-
"rewards/chosen": -
|
567 |
-
"rewards/margins": 0.
|
568 |
-
"rewards/rejected": -
|
569 |
"step": 400
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 1.
|
573 |
-
"learning_rate":
|
574 |
-
"logits/chosen": 0.
|
575 |
-
"logits/rejected": 0.
|
576 |
-
"logps/chosen": -
|
577 |
-
"logps/rejected": -
|
578 |
-
"loss": 0.
|
579 |
-
"rewards/accuracies": 0.
|
580 |
-
"rewards/chosen": -
|
581 |
-
"rewards/margins": 0.
|
582 |
-
"rewards/rejected": -
|
583 |
"step": 410
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 1.
|
587 |
-
"learning_rate":
|
588 |
-
"logits/chosen": 0.
|
589 |
-
"logits/rejected": 0.
|
590 |
-
"logps/chosen": -
|
591 |
-
"logps/rejected": -
|
592 |
-
"loss": 0.
|
593 |
-
"rewards/accuracies": 0.
|
594 |
-
"rewards/chosen": -
|
595 |
-
"rewards/margins": 0.
|
596 |
-
"rewards/rejected": -
|
597 |
"step": 420
|
598 |
},
|
599 |
{
|
600 |
-
"epoch": 1.
|
601 |
-
"learning_rate":
|
602 |
-
"logits/chosen": 0.
|
603 |
-
"logits/rejected": 0.
|
604 |
-
"logps/chosen": -
|
605 |
-
"logps/rejected": -
|
606 |
-
"loss": 0.
|
607 |
-
"rewards/accuracies": 0.
|
608 |
-
"rewards/chosen": -
|
609 |
-
"rewards/margins": 0.
|
610 |
-
"rewards/rejected": -
|
611 |
"step": 430
|
612 |
},
|
613 |
{
|
614 |
-
"epoch": 1.
|
615 |
-
"learning_rate":
|
616 |
-
"logits/chosen": 0.
|
617 |
-
"logits/rejected": 0.
|
618 |
-
"logps/chosen": -
|
619 |
-
"logps/rejected": -
|
620 |
-
"loss": 0.
|
621 |
-
"rewards/accuracies": 0.
|
622 |
-
"rewards/chosen": -
|
623 |
-
"rewards/margins": 0.
|
624 |
-
"rewards/rejected": -
|
625 |
"step": 440
|
626 |
},
|
627 |
{
|
628 |
-
"epoch": 1.
|
629 |
-
"learning_rate":
|
630 |
-
"logits/chosen": 0.
|
631 |
-
"logits/rejected": 0.
|
632 |
-
"logps/chosen": -
|
633 |
-
"logps/rejected": -
|
634 |
-
"loss": 0.
|
635 |
-
"rewards/accuracies": 0.
|
636 |
-
"rewards/chosen": -
|
637 |
-
"rewards/margins": 0.
|
638 |
-
"rewards/rejected": -
|
639 |
"step": 450
|
640 |
},
|
641 |
{
|
642 |
-
"epoch": 1.
|
643 |
-
"learning_rate":
|
644 |
-
"logits/chosen": 0.
|
645 |
-
"logits/rejected": 0.
|
646 |
-
"logps/chosen": -
|
647 |
-
"logps/rejected": -
|
648 |
-
"loss": 0.
|
649 |
-
"rewards/accuracies": 0.
|
650 |
-
"rewards/chosen": -
|
651 |
-
"rewards/margins": 0.
|
652 |
-
"rewards/rejected": -
|
653 |
"step": 460
|
654 |
},
|
655 |
{
|
656 |
-
"epoch": 1.
|
657 |
-
"learning_rate":
|
658 |
-
"logits/chosen": 0.
|
659 |
-
"logits/rejected": 0.
|
660 |
-
"logps/chosen": -
|
661 |
-
"logps/rejected": -
|
662 |
-
"loss": 0.
|
663 |
-
"rewards/accuracies": 0.
|
664 |
-
"rewards/chosen": -
|
665 |
-
"rewards/margins": 0.
|
666 |
-
"rewards/rejected": -2.
|
667 |
"step": 470
|
668 |
},
|
669 |
{
|
670 |
-
"epoch": 1.
|
671 |
-
"learning_rate":
|
672 |
-
"logits/chosen": 0.
|
673 |
-
"logits/rejected": 0.
|
674 |
-
"logps/chosen": -
|
675 |
-
"logps/rejected": -
|
676 |
-
"loss": 0.
|
677 |
-
"rewards/accuracies": 0.
|
678 |
-
"rewards/chosen": -
|
679 |
-
"rewards/margins": 0.
|
680 |
-
"rewards/rejected": -
|
681 |
"step": 480
|
682 |
},
|
683 |
{
|
684 |
-
"epoch": 1.
|
685 |
-
"learning_rate":
|
686 |
-
"logits/chosen": 0.
|
687 |
-
"logits/rejected": 0.
|
688 |
-
"logps/chosen": -
|
689 |
-
"logps/rejected": -
|
690 |
-
"loss": 0.
|
691 |
-
"rewards/accuracies": 0.
|
692 |
-
"rewards/chosen": -
|
693 |
-
"rewards/margins": 0.
|
694 |
-
"rewards/rejected": -2.
|
695 |
"step": 490
|
696 |
},
|
697 |
{
|
698 |
-
"epoch": 1.
|
699 |
-
"learning_rate":
|
700 |
-
"logits/chosen": 0.
|
701 |
-
"logits/rejected": 0.
|
702 |
-
"logps/chosen": -382.
|
703 |
-
"logps/rejected": -
|
704 |
-
"loss": 0.
|
705 |
-
"rewards/accuracies": 0.
|
706 |
-
"rewards/chosen": -
|
707 |
-
"rewards/margins":
|
708 |
-
"rewards/rejected": -
|
709 |
"step": 500
|
710 |
},
|
711 |
{
|
712 |
-
"epoch": 1.
|
713 |
-
"learning_rate":
|
714 |
-
"logits/chosen": 0.
|
715 |
-
"logits/rejected":
|
716 |
-
"logps/chosen": -
|
717 |
-
"logps/rejected": -
|
718 |
-
"loss": 0.
|
719 |
-
"rewards/accuracies": 0.
|
720 |
-
"rewards/chosen": -
|
721 |
-
"rewards/margins": 0.
|
722 |
-
"rewards/rejected": -
|
723 |
"step": 510
|
724 |
},
|
725 |
{
|
726 |
-
"epoch": 1.
|
727 |
-
"learning_rate":
|
728 |
-
"logits/chosen": 0.
|
729 |
-
"logits/rejected": 0.
|
730 |
-
"logps/chosen": -
|
731 |
-
"logps/rejected": -
|
732 |
-
"loss": 0.
|
733 |
-
"rewards/accuracies": 0.
|
734 |
-
"rewards/chosen": -
|
735 |
-
"rewards/margins": 0.
|
736 |
-
"rewards/rejected": -
|
737 |
"step": 520
|
738 |
},
|
739 |
{
|
740 |
-
"epoch": 1.
|
741 |
-
"learning_rate":
|
742 |
-
"logits/chosen": 0.
|
743 |
-
"logits/rejected": 0.
|
744 |
-
"logps/chosen": -
|
745 |
-
"logps/rejected": -
|
746 |
-
"loss": 0.
|
747 |
-
"rewards/accuracies": 0.
|
748 |
-
"rewards/chosen": -
|
749 |
-
"rewards/margins": 0.
|
750 |
-
"rewards/rejected": -
|
751 |
"step": 530
|
752 |
},
|
753 |
{
|
754 |
-
"epoch": 1.
|
755 |
-
"learning_rate": 1.
|
756 |
-
"logits/chosen": 0.
|
757 |
-
"logits/rejected": 0.
|
758 |
-
"logps/chosen": -
|
759 |
-
"logps/rejected": -
|
760 |
-
"loss": 0.
|
761 |
"rewards/accuracies": 0.793749988079071,
|
762 |
-
"rewards/chosen": -
|
763 |
-
"rewards/margins": 0.
|
764 |
-
"rewards/rejected": -
|
765 |
"step": 540
|
766 |
},
|
767 |
{
|
768 |
-
"epoch": 1.
|
769 |
-
"learning_rate":
|
770 |
-
"logits/chosen": 0.
|
771 |
-
"logits/rejected": 0.
|
772 |
-
"logps/chosen": -
|
773 |
-
"logps/rejected": -
|
774 |
-
"loss": 0.
|
775 |
-
"rewards/accuracies": 0.
|
776 |
-
"rewards/chosen": -
|
777 |
-
"rewards/margins": 0.
|
778 |
-
"rewards/rejected": -
|
779 |
"step": 550
|
780 |
},
|
781 |
{
|
782 |
-
"epoch": 1.
|
783 |
-
"learning_rate":
|
784 |
-
"logits/chosen": 0.
|
785 |
-
"logits/rejected": 0.
|
786 |
-
"logps/chosen": -
|
787 |
-
"logps/rejected": -
|
788 |
-
"loss": 0.
|
789 |
-
"rewards/accuracies": 0.
|
790 |
-
"rewards/chosen": -
|
791 |
-
"rewards/margins": 0.
|
792 |
-
"rewards/rejected": -
|
793 |
"step": 560
|
794 |
},
|
795 |
{
|
796 |
-
"epoch": 1.
|
797 |
-
"learning_rate":
|
798 |
-
"logits/chosen": 0.
|
799 |
-
"logits/rejected": 0.
|
800 |
-
"logps/chosen": -
|
801 |
-
"logps/rejected": -
|
802 |
-
"loss": 0.
|
803 |
-
"rewards/accuracies": 0.
|
804 |
-
"rewards/chosen": -
|
805 |
-
"rewards/margins":
|
806 |
-
"rewards/rejected": -
|
807 |
"step": 570
|
808 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
809 |
{
|
810 |
"epoch": 2.0,
|
811 |
"learning_rate": 0.0,
|
812 |
-
"logits/chosen": 0.
|
813 |
-
"logits/rejected": 0.
|
814 |
-
"logps/chosen": -
|
815 |
-
"logps/rejected": -
|
816 |
-
"loss": 0.
|
817 |
-
"rewards/accuracies": 0.
|
818 |
-
"rewards/chosen": -
|
819 |
-
"rewards/margins": 0.
|
820 |
-
"rewards/rejected": -2.
|
821 |
-
"step":
|
822 |
},
|
823 |
{
|
824 |
"epoch": 2.0,
|
825 |
-
"step":
|
826 |
"total_flos": 0.0,
|
827 |
-
"train_loss": 0.
|
828 |
-
"train_runtime":
|
829 |
-
"train_samples_per_second": 8.
|
830 |
-
"train_steps_per_second": 0.
|
831 |
}
|
832 |
],
|
833 |
"logging_steps": 10,
|
834 |
-
"max_steps":
|
835 |
"num_train_epochs": 2,
|
836 |
"save_steps": 10000,
|
837 |
"total_flos": 0.0,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9950825430277486,
|
5 |
"eval_steps": 10000,
|
6 |
+
"global_step": 710,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.03,
|
13 |
+
"learning_rate": 1.4084507042253522e-07,
|
14 |
+
"logits/chosen": -0.024068962782621384,
|
15 |
+
"logits/rejected": 0.04506533965468407,
|
16 |
+
"logps/chosen": -317.1720275878906,
|
17 |
+
"logps/rejected": -207.3963623046875,
|
18 |
+
"loss": 0.6933,
|
19 |
+
"rewards/accuracies": 0.4124999940395355,
|
20 |
+
"rewards/chosen": -0.0009543737396597862,
|
21 |
+
"rewards/margins": -0.0014725492801517248,
|
22 |
+
"rewards/rejected": 0.0005181756569072604,
|
23 |
"step": 10
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"learning_rate": 2.8169014084507043e-07,
|
28 |
+
"logits/chosen": -0.04674551263451576,
|
29 |
+
"logits/rejected": -0.010908829048275948,
|
30 |
+
"logps/chosen": -294.0361328125,
|
31 |
+
"logps/rejected": -201.79061889648438,
|
32 |
+
"loss": 0.6914,
|
33 |
+
"rewards/accuracies": 0.5874999761581421,
|
34 |
+
"rewards/chosen": 0.0003093578852713108,
|
35 |
+
"rewards/margins": 0.004586204886436462,
|
36 |
+
"rewards/rejected": -0.004276847001165152,
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.08,
|
41 |
+
"learning_rate": 4.225352112676056e-07,
|
42 |
+
"logits/chosen": -0.04512999951839447,
|
43 |
+
"logits/rejected": 0.007197662256658077,
|
44 |
+
"logps/chosen": -361.146240234375,
|
45 |
+
"logps/rejected": -249.73080444335938,
|
46 |
+
"loss": 0.6841,
|
47 |
+
"rewards/accuracies": 0.5625,
|
48 |
+
"rewards/chosen": -0.001304158358834684,
|
49 |
+
"rewards/margins": 0.015663906931877136,
|
50 |
+
"rewards/rejected": -0.01696806587278843,
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.11,
|
55 |
+
"learning_rate": 5.633802816901409e-07,
|
56 |
+
"logits/chosen": -0.04949279874563217,
|
57 |
+
"logits/rejected": 0.00024662315263412893,
|
58 |
+
"logps/chosen": -291.42913818359375,
|
59 |
+
"logps/rejected": -196.7120361328125,
|
60 |
+
"loss": 0.6759,
|
61 |
+
"rewards/accuracies": 0.5874999761581421,
|
62 |
+
"rewards/chosen": -0.015403245575726032,
|
63 |
+
"rewards/margins": 0.05249834060668945,
|
64 |
+
"rewards/rejected": -0.06790158897638321,
|
65 |
"step": 40
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.14,
|
69 |
+
"learning_rate": 7.04225352112676e-07,
|
70 |
+
"logits/chosen": 0.02841530181467533,
|
71 |
+
"logits/rejected": 0.0736595019698143,
|
72 |
+
"logps/chosen": -373.4976806640625,
|
73 |
+
"logps/rejected": -227.70068359375,
|
74 |
+
"loss": 0.665,
|
75 |
+
"rewards/accuracies": 0.606249988079071,
|
76 |
+
"rewards/chosen": -0.05390547588467598,
|
77 |
+
"rewards/margins": 0.11358483880758286,
|
78 |
+
"rewards/rejected": -0.16749031841754913,
|
79 |
"step": 50
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.17,
|
83 |
+
"learning_rate": 8.450704225352112e-07,
|
84 |
+
"logits/chosen": -0.03540544956922531,
|
85 |
+
"logits/rejected": 0.025740886107087135,
|
86 |
+
"logps/chosen": -323.0583801269531,
|
87 |
+
"logps/rejected": -230.3257293701172,
|
88 |
+
"loss": 0.6567,
|
89 |
+
"rewards/accuracies": 0.5874999761581421,
|
90 |
+
"rewards/chosen": -0.03229106217622757,
|
91 |
+
"rewards/margins": 0.1074444055557251,
|
92 |
+
"rewards/rejected": -0.13973546028137207,
|
93 |
"step": 60
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.2,
|
97 |
+
"learning_rate": 9.859154929577465e-07,
|
98 |
+
"logits/chosen": -0.06292358785867691,
|
99 |
+
"logits/rejected": -0.009262708015739918,
|
100 |
+
"logps/chosen": -354.81341552734375,
|
101 |
+
"logps/rejected": -255.65560913085938,
|
102 |
+
"loss": 0.6477,
|
103 |
+
"rewards/accuracies": 0.6187499761581421,
|
104 |
+
"rewards/chosen": -0.03358080983161926,
|
105 |
+
"rewards/margins": 0.17669352889060974,
|
106 |
+
"rewards/rejected": -0.210274338722229,
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.22,
|
111 |
+
"learning_rate": 9.995106132599868e-07,
|
112 |
+
"logits/chosen": 0.03767090290784836,
|
113 |
+
"logits/rejected": 0.09468533098697662,
|
114 |
+
"logps/chosen": -319.8956298828125,
|
115 |
+
"logps/rejected": -235.5646514892578,
|
116 |
+
"loss": 0.667,
|
117 |
+
"rewards/accuracies": 0.5562499761581421,
|
118 |
+
"rewards/chosen": -0.07292340695858002,
|
119 |
+
"rewards/margins": 0.1298426389694214,
|
120 |
+
"rewards/rejected": -0.2027660608291626,
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.25,
|
125 |
+
"learning_rate": 9.978201358980644e-07,
|
126 |
+
"logits/chosen": -0.016046693548560143,
|
127 |
+
"logits/rejected": 0.04123395308852196,
|
128 |
+
"logps/chosen": -361.1316223144531,
|
129 |
+
"logps/rejected": -279.39520263671875,
|
130 |
+
"loss": 0.6491,
|
131 |
+
"rewards/accuracies": 0.625,
|
132 |
+
"rewards/chosen": 0.030158694833517075,
|
133 |
+
"rewards/margins": 0.1393767148256302,
|
134 |
+
"rewards/rejected": -0.10921802371740341,
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.28,
|
139 |
+
"learning_rate": 9.949266103908894e-07,
|
140 |
+
"logits/chosen": -0.01002789568156004,
|
141 |
+
"logits/rejected": 0.055082082748413086,
|
142 |
+
"logps/chosen": -275.36773681640625,
|
143 |
+
"logps/rejected": -211.86721801757812,
|
144 |
+
"loss": 0.6472,
|
145 |
+
"rewards/accuracies": 0.53125,
|
146 |
+
"rewards/chosen": 0.04291190952062607,
|
147 |
+
"rewards/margins": 0.11093775182962418,
|
148 |
+
"rewards/rejected": -0.06802584230899811,
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.31,
|
153 |
+
"learning_rate": 9.908370293252287e-07,
|
154 |
+
"logits/chosen": -0.008449924178421497,
|
155 |
+
"logits/rejected": 0.018720177933573723,
|
156 |
+
"logps/chosen": -323.53802490234375,
|
157 |
+
"logps/rejected": -244.490966796875,
|
158 |
+
"loss": 0.6407,
|
159 |
"rewards/accuracies": 0.59375,
|
160 |
+
"rewards/chosen": 0.07049892842769623,
|
161 |
+
"rewards/margins": 0.1456976681947708,
|
162 |
+
"rewards/rejected": -0.07519873231649399,
|
163 |
"step": 110
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 0.34,
|
167 |
+
"learning_rate": 9.855612757141654e-07,
|
168 |
+
"logits/chosen": -0.07508296519517899,
|
169 |
+
"logits/rejected": -0.012953217141330242,
|
170 |
+
"logps/chosen": -336.1876525878906,
|
171 |
+
"logps/rejected": -208.52011108398438,
|
172 |
+
"loss": 0.6333,
|
173 |
+
"rewards/accuracies": 0.65625,
|
174 |
+
"rewards/chosen": 0.03278186544775963,
|
175 |
+
"rewards/margins": 0.26016712188720703,
|
176 |
+
"rewards/rejected": -0.2273852527141571,
|
177 |
"step": 120
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.37,
|
181 |
+
"learning_rate": 9.791120991134902e-07,
|
182 |
+
"logits/chosen": -0.10753818601369858,
|
183 |
+
"logits/rejected": -0.01082658488303423,
|
184 |
+
"logps/chosen": -376.611083984375,
|
185 |
+
"logps/rejected": -251.7242889404297,
|
186 |
+
"loss": 0.6491,
|
187 |
+
"rewards/accuracies": 0.668749988079071,
|
188 |
+
"rewards/chosen": -0.026872599497437477,
|
189 |
+
"rewards/margins": 0.2888794541358948,
|
190 |
+
"rewards/rejected": -0.3157520890235901,
|
191 |
"step": 130
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 0.39,
|
195 |
+
"learning_rate": 9.715050848107168e-07,
|
196 |
+
"logits/chosen": -0.17280681431293488,
|
197 |
+
"logits/rejected": -0.0874427855014801,
|
198 |
+
"logps/chosen": -342.14593505859375,
|
199 |
+
"logps/rejected": -229.78652954101562,
|
200 |
+
"loss": 0.6346,
|
201 |
+
"rewards/accuracies": 0.643750011920929,
|
202 |
+
"rewards/chosen": -0.014674955978989601,
|
203 |
+
"rewards/margins": 0.2581936717033386,
|
204 |
+
"rewards/rejected": -0.2728686034679413,
|
205 |
"step": 140
|
206 |
},
|
207 |
{
|
208 |
+
"epoch": 0.42,
|
209 |
+
"learning_rate": 9.627586161611731e-07,
|
210 |
+
"logits/chosen": -0.09239596873521805,
|
211 |
+
"logits/rejected": -0.035311758518218994,
|
212 |
+
"logps/chosen": -282.2192077636719,
|
213 |
+
"logps/rejected": -214.80810546875,
|
214 |
+
"loss": 0.6501,
|
215 |
+
"rewards/accuracies": 0.6499999761581421,
|
216 |
+
"rewards/chosen": -0.03641432523727417,
|
217 |
+
"rewards/margins": 0.19125035405158997,
|
218 |
+
"rewards/rejected": -0.22766467928886414,
|
219 |
"step": 150
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.45,
|
223 |
+
"learning_rate": 9.528938301621955e-07,
|
224 |
+
"logits/chosen": -0.168453648686409,
|
225 |
+
"logits/rejected": -0.1073572039604187,
|
226 |
+
"logps/chosen": -341.64599609375,
|
227 |
+
"logps/rejected": -223.13101196289062,
|
228 |
+
"loss": 0.6342,
|
229 |
+
"rewards/accuracies": 0.6312500238418579,
|
230 |
+
"rewards/chosen": 0.01668923906981945,
|
231 |
+
"rewards/margins": 0.19806070625782013,
|
232 |
+
"rewards/rejected": -0.18137145042419434,
|
233 |
"step": 160
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 0.48,
|
237 |
+
"learning_rate": 9.419345663727804e-07,
|
238 |
+
"logits/chosen": -0.13118991255760193,
|
239 |
+
"logits/rejected": -0.0702921599149704,
|
240 |
+
"logps/chosen": -344.593505859375,
|
241 |
+
"logps/rejected": -231.71804809570312,
|
242 |
+
"loss": 0.6221,
|
243 |
+
"rewards/accuracies": 0.65625,
|
244 |
+
"rewards/chosen": 0.004311258438974619,
|
245 |
+
"rewards/margins": 0.2375575602054596,
|
246 |
+
"rewards/rejected": -0.23324629664421082,
|
247 |
"step": 170
|
248 |
},
|
249 |
{
|
250 |
+
"epoch": 0.51,
|
251 |
+
"learning_rate": 9.299073093021404e-07,
|
252 |
+
"logits/chosen": -0.05861334875226021,
|
253 |
+
"logits/rejected": 0.004674489144235849,
|
254 |
+
"logps/chosen": -355.00872802734375,
|
255 |
+
"logps/rejected": -255.2248992919922,
|
256 |
+
"loss": 0.6285,
|
257 |
+
"rewards/accuracies": 0.6499999761581421,
|
258 |
+
"rewards/chosen": -0.13683992624282837,
|
259 |
+
"rewards/margins": 0.26262304186820984,
|
260 |
+
"rewards/rejected": -0.3994629979133606,
|
261 |
"step": 180
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.53,
|
265 |
+
"learning_rate": 9.168411244063861e-07,
|
266 |
+
"logits/chosen": -0.15201464295387268,
|
267 |
+
"logits/rejected": -0.08699367940425873,
|
268 |
+
"logps/chosen": -369.53936767578125,
|
269 |
+
"logps/rejected": -261.6515197753906,
|
270 |
+
"loss": 0.6253,
|
271 |
+
"rewards/accuracies": 0.637499988079071,
|
272 |
+
"rewards/chosen": -0.18763788044452667,
|
273 |
+
"rewards/margins": 0.2461237609386444,
|
274 |
+
"rewards/rejected": -0.4337615966796875,
|
275 |
"step": 190
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 0.56,
|
279 |
+
"learning_rate": 9.02767587848013e-07,
|
280 |
+
"logits/chosen": -0.1659875363111496,
|
281 |
+
"logits/rejected": -0.11425626277923584,
|
282 |
+
"logps/chosen": -322.26971435546875,
|
283 |
+
"logps/rejected": -269.41571044921875,
|
284 |
+
"loss": 0.6377,
|
285 |
+
"rewards/accuracies": 0.5874999761581421,
|
286 |
+
"rewards/chosen": -0.1545395851135254,
|
287 |
+
"rewards/margins": 0.16578510403633118,
|
288 |
+
"rewards/rejected": -0.32032471895217896,
|
289 |
"step": 200
|
290 |
},
|
291 |
{
|
292 |
+
"epoch": 0.59,
|
293 |
+
"learning_rate": 8.877207101879301e-07,
|
294 |
+
"logits/chosen": -0.12081719934940338,
|
295 |
+
"logits/rejected": -0.055270951241254807,
|
296 |
+
"logps/chosen": -303.1000061035156,
|
297 |
+
"logps/rejected": -226.3379364013672,
|
298 |
+
"loss": 0.6265,
|
299 |
+
"rewards/accuracies": 0.643750011920929,
|
300 |
+
"rewards/chosen": -0.1504133641719818,
|
301 |
+
"rewards/margins": 0.2184509038925171,
|
302 |
+
"rewards/rejected": -0.3688642680644989,
|
303 |
"step": 210
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 0.62,
|
307 |
+
"learning_rate": 8.717368541944452e-07,
|
308 |
+
"logits/chosen": -0.14912042021751404,
|
309 |
+
"logits/rejected": -0.11508848518133163,
|
310 |
+
"logps/chosen": -313.95745849609375,
|
311 |
+
"logps/rejected": -232.803955078125,
|
312 |
+
"loss": 0.6245,
|
313 |
+
"rewards/accuracies": 0.606249988079071,
|
314 |
+
"rewards/chosen": -0.17989172041416168,
|
315 |
+
"rewards/margins": 0.21268931031227112,
|
316 |
+
"rewards/rejected": -0.3925810158252716,
|
317 |
"step": 220
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 0.65,
|
321 |
+
"learning_rate": 8.54854646967831e-07,
|
322 |
+
"logits/chosen": -0.20850150287151337,
|
323 |
+
"logits/rejected": -0.14839352667331696,
|
324 |
+
"logps/chosen": -351.56768798828125,
|
325 |
+
"logps/rejected": -286.0954284667969,
|
326 |
+
"loss": 0.6232,
|
327 |
+
"rewards/accuracies": 0.6937500238418579,
|
328 |
+
"rewards/chosen": -0.20482465624809265,
|
329 |
+
"rewards/margins": 0.2566435933113098,
|
330 |
+
"rewards/rejected": -0.46146830916404724,
|
331 |
"step": 230
|
332 |
},
|
333 |
{
|
334 |
+
"epoch": 0.67,
|
335 |
+
"learning_rate": 8.371148865928318e-07,
|
336 |
+
"logits/chosen": -0.13414549827575684,
|
337 |
+
"logits/rejected": -0.09452676773071289,
|
338 |
+
"logps/chosen": -334.4315490722656,
|
339 |
+
"logps/rejected": -271.9152526855469,
|
340 |
+
"loss": 0.6104,
|
341 |
"rewards/accuracies": 0.612500011920929,
|
342 |
+
"rewards/chosen": -0.18954138457775116,
|
343 |
+
"rewards/margins": 0.24784322082996368,
|
344 |
+
"rewards/rejected": -0.43738460540771484,
|
345 |
"step": 240
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 0.7,
|
349 |
+
"learning_rate": 8.185604435447001e-07,
|
350 |
+
"logits/chosen": -0.08637334406375885,
|
351 |
+
"logits/rejected": -0.03546728193759918,
|
352 |
+
"logps/chosen": -349.38787841796875,
|
353 |
+
"logps/rejected": -278.61761474609375,
|
354 |
+
"loss": 0.6238,
|
355 |
+
"rewards/accuracies": 0.6625000238418579,
|
356 |
+
"rewards/chosen": -0.2417462319135666,
|
357 |
+
"rewards/margins": 0.2916719615459442,
|
358 |
+
"rewards/rejected": -0.5334181785583496,
|
359 |
"step": 250
|
360 |
},
|
361 |
{
|
362 |
+
"epoch": 0.73,
|
363 |
+
"learning_rate": 7.992361570870287e-07,
|
364 |
+
"logits/chosen": -0.15081752836704254,
|
365 |
+
"logits/rejected": -0.11529238522052765,
|
366 |
+
"logps/chosen": -311.26507568359375,
|
367 |
+
"logps/rejected": -253.03659057617188,
|
368 |
+
"loss": 0.625,
|
369 |
+
"rewards/accuracies": 0.668749988079071,
|
370 |
+
"rewards/chosen": -0.34321683645248413,
|
371 |
+
"rewards/margins": 0.19419686496257782,
|
372 |
+
"rewards/rejected": -0.5374137163162231,
|
373 |
"step": 260
|
374 |
},
|
375 |
{
|
376 |
+
"epoch": 0.76,
|
377 |
+
"learning_rate": 7.791887269117441e-07,
|
378 |
+
"logits/chosen": -0.08736265450716019,
|
379 |
+
"logits/rejected": 0.010209694504737854,
|
380 |
+
"logps/chosen": -350.77197265625,
|
381 |
+
"logps/rejected": -249.4473114013672,
|
382 |
+
"loss": 0.6198,
|
383 |
+
"rewards/accuracies": 0.668749988079071,
|
384 |
+
"rewards/chosen": -0.33235999941825867,
|
385 |
+
"rewards/margins": 0.3289110064506531,
|
386 |
+
"rewards/rejected": -0.6612709760665894,
|
387 |
"step": 270
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 0.79,
|
391 |
+
"learning_rate": 7.584666002831294e-07,
|
392 |
+
"logits/chosen": -0.17468181252479553,
|
393 |
+
"logits/rejected": -0.10544611513614655,
|
394 |
+
"logps/chosen": -393.7838439941406,
|
395 |
+
"logps/rejected": -275.46636962890625,
|
396 |
+
"loss": 0.6284,
|
397 |
+
"rewards/accuracies": 0.7250000238418579,
|
398 |
+
"rewards/chosen": -0.20970232784748077,
|
399 |
+
"rewards/margins": 0.31893718242645264,
|
400 |
+
"rewards/rejected": -0.5286394357681274,
|
401 |
"step": 280
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 0.81,
|
405 |
+
"learning_rate": 7.37119854958609e-07,
|
406 |
+
"logits/chosen": -0.18520912528038025,
|
407 |
+
"logits/rejected": -0.12915001809597015,
|
408 |
+
"logps/chosen": -372.53961181640625,
|
409 |
+
"logps/rejected": -301.4205017089844,
|
410 |
+
"loss": 0.6426,
|
411 |
+
"rewards/accuracies": 0.675000011920929,
|
412 |
+
"rewards/chosen": -0.3479081690311432,
|
413 |
+
"rewards/margins": 0.25431200861930847,
|
414 |
+
"rewards/rejected": -0.6022201776504517,
|
415 |
"step": 290
|
416 |
},
|
417 |
{
|
418 |
+
"epoch": 0.84,
|
419 |
+
"learning_rate": 7.152000781692285e-07,
|
420 |
+
"logits/chosen": -0.20307299494743347,
|
421 |
+
"logits/rejected": -0.1757517158985138,
|
422 |
+
"logps/chosen": -368.33392333984375,
|
423 |
+
"logps/rejected": -302.0033874511719,
|
424 |
+
"loss": 0.6219,
|
425 |
+
"rewards/accuracies": 0.6499999761581421,
|
426 |
+
"rewards/chosen": -0.2545304298400879,
|
427 |
+
"rewards/margins": 0.2229403257369995,
|
428 |
+
"rewards/rejected": -0.4774707853794098,
|
429 |
"step": 300
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 0.87,
|
433 |
+
"learning_rate": 6.927602419522946e-07,
|
434 |
+
"logits/chosen": -0.15039893984794617,
|
435 |
+
"logits/rejected": -0.1383979469537735,
|
436 |
+
"logps/chosen": -319.64349365234375,
|
437 |
+
"logps/rejected": -265.85198974609375,
|
438 |
+
"loss": 0.624,
|
439 |
+
"rewards/accuracies": 0.59375,
|
440 |
+
"rewards/chosen": -0.3667163848876953,
|
441 |
+
"rewards/margins": 0.18039202690124512,
|
442 |
+
"rewards/rejected": -0.5471083521842957,
|
443 |
"step": 310
|
444 |
},
|
445 |
{
|
446 |
+
"epoch": 0.9,
|
447 |
+
"learning_rate": 6.698545751374463e-07,
|
448 |
+
"logits/chosen": -0.25044673681259155,
|
449 |
+
"logits/rejected": -0.12538060545921326,
|
450 |
+
"logps/chosen": -413.25946044921875,
|
451 |
+
"logps/rejected": -303.199951171875,
|
452 |
+
"loss": 0.6216,
|
453 |
+
"rewards/accuracies": 0.6937500238418579,
|
454 |
+
"rewards/chosen": -0.3125981390476227,
|
455 |
+
"rewards/margins": 0.38619184494018555,
|
456 |
+
"rewards/rejected": -0.6987899541854858,
|
457 |
"step": 320
|
458 |
},
|
459 |
{
|
460 |
+
"epoch": 0.93,
|
461 |
+
"learning_rate": 6.465384322955224e-07,
|
462 |
+
"logits/chosen": -0.1757752150297165,
|
463 |
+
"logits/rejected": -0.11078636348247528,
|
464 |
+
"logps/chosen": -362.4681091308594,
|
465 |
+
"logps/rejected": -267.5201416015625,
|
466 |
+
"loss": 0.6074,
|
467 |
+
"rewards/accuracies": 0.7250000238418579,
|
468 |
+
"rewards/chosen": -0.33040475845336914,
|
469 |
+
"rewards/margins": 0.37607377767562866,
|
470 |
+
"rewards/rejected": -0.7064785957336426,
|
471 |
"step": 330
|
472 |
},
|
473 |
{
|
474 |
+
"epoch": 0.96,
|
475 |
+
"learning_rate": 6.228681599669248e-07,
|
476 |
+
"logits/chosen": -0.19059506058692932,
|
477 |
+
"logits/rejected": -0.09184812009334564,
|
478 |
+
"logps/chosen": -430.0191345214844,
|
479 |
+
"logps/rejected": -296.02557373046875,
|
480 |
+
"loss": 0.617,
|
481 |
+
"rewards/accuracies": 0.6875,
|
482 |
+
"rewards/chosen": -0.3559810519218445,
|
483 |
+
"rewards/margins": 0.3992285132408142,
|
484 |
+
"rewards/rejected": -0.7552096247673035,
|
485 |
"step": 340
|
486 |
},
|
487 |
{
|
488 |
+
"epoch": 0.98,
|
489 |
+
"learning_rate": 5.989009604927586e-07,
|
490 |
+
"logits/chosen": -0.1337263584136963,
|
491 |
+
"logits/rejected": -0.01602357253432274,
|
492 |
+
"logps/chosen": -391.5013122558594,
|
493 |
+
"logps/rejected": -306.56982421875,
|
494 |
+
"loss": 0.5985,
|
495 |
+
"rewards/accuracies": 0.7124999761581421,
|
496 |
+
"rewards/chosen": -0.3254554867744446,
|
497 |
+
"rewards/margins": 0.4386405944824219,
|
498 |
+
"rewards/rejected": -0.7640960812568665,
|
499 |
"step": 350
|
500 |
},
|
501 |
{
|
502 |
+
"epoch": 1.01,
|
503 |
+
"learning_rate": 5.74694753777815e-07,
|
504 |
+
"logits/chosen": -0.13974535465240479,
|
505 |
+
"logits/rejected": -0.11217441409826279,
|
506 |
+
"logps/chosen": -327.7983703613281,
|
507 |
+
"logps/rejected": -279.513916015625,
|
508 |
+
"loss": 0.545,
|
509 |
+
"rewards/accuracies": 0.7437499761581421,
|
510 |
+
"rewards/chosen": -0.42400461435317993,
|
511 |
+
"rewards/margins": 0.4070449769496918,
|
512 |
+
"rewards/rejected": -0.8310495615005493,
|
513 |
"step": 360
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 1.04,
|
517 |
+
"learning_rate": 5.503080373194666e-07,
|
518 |
+
"logits/chosen": -0.2235272228717804,
|
519 |
+
"logits/rejected": -0.12439509481191635,
|
520 |
+
"logps/chosen": -374.24261474609375,
|
521 |
+
"logps/rejected": -333.127685546875,
|
522 |
+
"loss": 0.4827,
|
523 |
+
"rewards/accuracies": 0.862500011920929,
|
524 |
+
"rewards/chosen": -0.4394102096557617,
|
525 |
+
"rewards/margins": 0.6707636713981628,
|
526 |
+
"rewards/rejected": -1.1101738214492798,
|
527 |
"step": 370
|
528 |
},
|
529 |
{
|
530 |
+
"epoch": 1.07,
|
531 |
+
"learning_rate": 5.257997448407366e-07,
|
532 |
+
"logits/chosen": -0.12490369379520416,
|
533 |
+
"logits/rejected": 0.020254041999578476,
|
534 |
+
"logps/chosen": -408.45367431640625,
|
535 |
+
"logps/rejected": -308.180908203125,
|
536 |
+
"loss": 0.4897,
|
537 |
+
"rewards/accuracies": 0.824999988079071,
|
538 |
+
"rewards/chosen": -0.4755324423313141,
|
539 |
+
"rewards/margins": 0.6596079468727112,
|
540 |
+
"rewards/rejected": -1.1351404190063477,
|
541 |
"step": 380
|
542 |
},
|
543 |
{
|
544 |
+
"epoch": 1.1,
|
545 |
+
"learning_rate": 5.012291038691665e-07,
|
546 |
+
"logits/chosen": -0.15194548666477203,
|
547 |
+
"logits/rejected": -0.03352439031004906,
|
548 |
+
"logps/chosen": -419.17730712890625,
|
549 |
+
"logps/rejected": -391.656982421875,
|
550 |
+
"loss": 0.4746,
|
551 |
+
"rewards/accuracies": 0.8999999761581421,
|
552 |
+
"rewards/chosen": -0.6772257089614868,
|
553 |
+
"rewards/margins": 0.8299336433410645,
|
554 |
+
"rewards/rejected": -1.5071594715118408,
|
555 |
"step": 390
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 1.12,
|
559 |
+
"learning_rate": 4.7665549260567063e-07,
|
560 |
+
"logits/chosen": -0.20493462681770325,
|
561 |
+
"logits/rejected": -0.13634856045246124,
|
562 |
+
"logps/chosen": -411.919189453125,
|
563 |
+
"logps/rejected": -344.78759765625,
|
564 |
+
"loss": 0.4713,
|
565 |
+
"rewards/accuracies": 0.8500000238418579,
|
566 |
+
"rewards/chosen": -0.7057473063468933,
|
567 |
+
"rewards/margins": 0.824458122253418,
|
568 |
+
"rewards/rejected": -1.530205249786377,
|
569 |
"step": 400
|
570 |
},
|
571 |
{
|
572 |
+
"epoch": 1.15,
|
573 |
+
"learning_rate": 4.521382964292663e-07,
|
574 |
+
"logits/chosen": -0.14551517367362976,
|
575 |
+
"logits/rejected": -0.07351706176996231,
|
576 |
+
"logps/chosen": -394.6050109863281,
|
577 |
+
"logps/rejected": -345.28082275390625,
|
578 |
+
"loss": 0.4741,
|
579 |
+
"rewards/accuracies": 0.84375,
|
580 |
+
"rewards/chosen": -0.6415594816207886,
|
581 |
+
"rewards/margins": 0.7878659963607788,
|
582 |
+
"rewards/rejected": -1.4294254779815674,
|
583 |
"step": 410
|
584 |
},
|
585 |
{
|
586 |
+
"epoch": 1.18,
|
587 |
+
"learning_rate": 4.277367643844574e-07,
|
588 |
+
"logits/chosen": -0.1973930448293686,
|
589 |
+
"logits/rejected": -0.10258449614048004,
|
590 |
+
"logps/chosen": -446.4418029785156,
|
591 |
+
"logps/rejected": -366.457763671875,
|
592 |
+
"loss": 0.4605,
|
593 |
+
"rewards/accuracies": 0.862500011920929,
|
594 |
+
"rewards/chosen": -0.8334900736808777,
|
595 |
+
"rewards/margins": 0.7750234603881836,
|
596 |
+
"rewards/rejected": -1.608513593673706,
|
597 |
"step": 420
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 1.21,
|
601 |
+
"learning_rate": 4.035098659980891e-07,
|
602 |
+
"logits/chosen": -0.1986023634672165,
|
603 |
+
"logits/rejected": -0.06475992500782013,
|
604 |
+
"logps/chosen": -419.17010498046875,
|
605 |
+
"logps/rejected": -395.53509521484375,
|
606 |
+
"loss": 0.465,
|
607 |
+
"rewards/accuracies": 0.8062499761581421,
|
608 |
+
"rewards/chosen": -1.0268628597259521,
|
609 |
+
"rewards/margins": 0.7243725657463074,
|
610 |
+
"rewards/rejected": -1.7512352466583252,
|
611 |
"step": 430
|
612 |
},
|
613 |
{
|
614 |
+
"epoch": 1.24,
|
615 |
+
"learning_rate": 3.795161487716928e-07,
|
616 |
+
"logits/chosen": -0.20193979144096375,
|
617 |
+
"logits/rejected": -0.09314943850040436,
|
618 |
+
"logps/chosen": -491.21405029296875,
|
619 |
+
"logps/rejected": -423.76654052734375,
|
620 |
+
"loss": 0.4524,
|
621 |
+
"rewards/accuracies": 0.8500000238418579,
|
622 |
+
"rewards/chosen": -1.0318418741226196,
|
623 |
+
"rewards/margins": 0.9399174451828003,
|
624 |
+
"rewards/rejected": -1.9717592000961304,
|
625 |
"step": 440
|
626 |
},
|
627 |
{
|
628 |
+
"epoch": 1.26,
|
629 |
+
"learning_rate": 3.5581359669371223e-07,
|
630 |
+
"logits/chosen": -0.11288833618164062,
|
631 |
+
"logits/rejected": -0.1004786491394043,
|
632 |
+
"logps/chosen": -417.3036193847656,
|
633 |
+
"logps/rejected": -372.6753845214844,
|
634 |
+
"loss": 0.4561,
|
635 |
+
"rewards/accuracies": 0.831250011920929,
|
636 |
+
"rewards/chosen": -0.969109058380127,
|
637 |
+
"rewards/margins": 0.6991706490516663,
|
638 |
+
"rewards/rejected": -1.6682794094085693,
|
639 |
"step": 450
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 1.29,
|
643 |
+
"learning_rate": 3.324594901135326e-07,
|
644 |
+
"logits/chosen": -0.17446324229240417,
|
645 |
+
"logits/rejected": -0.0842059999704361,
|
646 |
+
"logps/chosen": -438.217041015625,
|
647 |
+
"logps/rejected": -390.52874755859375,
|
648 |
+
"loss": 0.459,
|
649 |
+
"rewards/accuracies": 0.824999988079071,
|
650 |
+
"rewards/chosen": -1.0395996570587158,
|
651 |
+
"rewards/margins": 0.7797072529792786,
|
652 |
+
"rewards/rejected": -1.8193069696426392,
|
653 |
"step": 460
|
654 |
},
|
655 |
{
|
656 |
+
"epoch": 1.32,
|
657 |
+
"learning_rate": 3.095102673159463e-07,
|
658 |
+
"logits/chosen": -0.13965001702308655,
|
659 |
+
"logits/rejected": -0.09614251554012299,
|
660 |
+
"logps/chosen": -477.21337890625,
|
661 |
+
"logps/rejected": -420.8619079589844,
|
662 |
+
"loss": 0.4336,
|
663 |
+
"rewards/accuracies": 0.84375,
|
664 |
+
"rewards/chosen": -1.1968367099761963,
|
665 |
+
"rewards/margins": 0.8374635577201843,
|
666 |
+
"rewards/rejected": -2.0343000888824463,
|
667 |
"step": 470
|
668 |
},
|
669 |
{
|
670 |
+
"epoch": 1.35,
|
671 |
+
"learning_rate": 2.870213881305802e-07,
|
672 |
+
"logits/chosen": -0.06153956800699234,
|
673 |
+
"logits/rejected": 0.04337477311491966,
|
674 |
+
"logps/chosen": -457.060302734375,
|
675 |
+
"logps/rejected": -406.51300048828125,
|
676 |
+
"loss": 0.4411,
|
677 |
+
"rewards/accuracies": 0.793749988079071,
|
678 |
+
"rewards/chosen": -1.1784467697143555,
|
679 |
+
"rewards/margins": 0.8234208226203918,
|
680 |
+
"rewards/rejected": -2.0018675327301025,
|
681 |
"step": 480
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 1.38,
|
685 |
+
"learning_rate": 2.6504719990588745e-07,
|
686 |
+
"logits/chosen": -0.05881907790899277,
|
687 |
+
"logits/rejected": 0.013253748416900635,
|
688 |
+
"logps/chosen": -455.1761169433594,
|
689 |
+
"logps/rejected": -401.30133056640625,
|
690 |
+
"loss": 0.4396,
|
691 |
+
"rewards/accuracies": 0.831250011920929,
|
692 |
+
"rewards/chosen": -1.2112154960632324,
|
693 |
+
"rewards/margins": 0.8642939329147339,
|
694 |
+
"rewards/rejected": -2.0755093097686768,
|
695 |
"step": 490
|
696 |
},
|
697 |
{
|
698 |
+
"epoch": 1.4,
|
699 |
+
"learning_rate": 2.436408061715988e-07,
|
700 |
+
"logits/chosen": 0.04037608206272125,
|
701 |
+
"logits/rejected": 0.047458432614803314,
|
702 |
+
"logps/chosen": -382.39141845703125,
|
703 |
+
"logps/rejected": -422.6522521972656,
|
704 |
+
"loss": 0.4409,
|
705 |
+
"rewards/accuracies": 0.84375,
|
706 |
+
"rewards/chosen": -1.066866159439087,
|
707 |
+
"rewards/margins": 0.8686450719833374,
|
708 |
+
"rewards/rejected": -1.9355109930038452,
|
709 |
"step": 500
|
710 |
},
|
711 |
{
|
712 |
+
"epoch": 1.43,
|
713 |
+
"learning_rate": 2.22853938307025e-07,
|
714 |
+
"logits/chosen": 0.09550214558839798,
|
715 |
+
"logits/rejected": 0.1434255838394165,
|
716 |
+
"logps/chosen": -393.2830810546875,
|
717 |
+
"logps/rejected": -355.2184753417969,
|
718 |
+
"loss": 0.4469,
|
719 |
+
"rewards/accuracies": 0.8187500238418579,
|
720 |
+
"rewards/chosen": -1.153294324874878,
|
721 |
+
"rewards/margins": 0.6956819891929626,
|
722 |
+
"rewards/rejected": -1.8489763736724854,
|
723 |
"step": 510
|
724 |
},
|
725 |
{
|
726 |
+
"epoch": 1.46,
|
727 |
+
"learning_rate": 2.0273683052534173e-07,
|
728 |
+
"logits/chosen": 0.14489802718162537,
|
729 |
+
"logits/rejected": 0.22391514480113983,
|
730 |
+
"logps/chosen": -465.29595947265625,
|
731 |
+
"logps/rejected": -435.1458435058594,
|
732 |
+
"loss": 0.4414,
|
733 |
+
"rewards/accuracies": 0.800000011920929,
|
734 |
+
"rewards/chosen": -1.2600550651550293,
|
735 |
+
"rewards/margins": 0.9257229566574097,
|
736 |
+
"rewards/rejected": -2.1857781410217285,
|
737 |
"step": 520
|
738 |
},
|
739 |
{
|
740 |
+
"epoch": 1.49,
|
741 |
+
"learning_rate": 1.833380984759764e-07,
|
742 |
+
"logits/chosen": 0.07251317799091339,
|
743 |
+
"logits/rejected": 0.17206279933452606,
|
744 |
+
"logps/chosen": -410.1485900878906,
|
745 |
+
"logps/rejected": -438.0814514160156,
|
746 |
+
"loss": 0.4487,
|
747 |
+
"rewards/accuracies": 0.8062499761581421,
|
748 |
+
"rewards/chosen": -1.2980937957763672,
|
749 |
+
"rewards/margins": 0.8264884948730469,
|
750 |
+
"rewards/rejected": -2.124582290649414,
|
751 |
"step": 530
|
752 |
},
|
753 |
{
|
754 |
+
"epoch": 1.52,
|
755 |
+
"learning_rate": 1.6470462175846606e-07,
|
756 |
+
"logits/chosen": 0.09354039281606674,
|
757 |
+
"logits/rejected": 0.13454324007034302,
|
758 |
+
"logps/chosen": -464.46990966796875,
|
759 |
+
"logps/rejected": -444.4037170410156,
|
760 |
+
"loss": 0.4383,
|
761 |
"rewards/accuracies": 0.793749988079071,
|
762 |
+
"rewards/chosen": -1.0875951051712036,
|
763 |
+
"rewards/margins": 0.913548469543457,
|
764 |
+
"rewards/rejected": -2.001143455505371,
|
765 |
"step": 540
|
766 |
},
|
767 |
{
|
768 |
+
"epoch": 1.55,
|
769 |
+
"learning_rate": 1.468814306317092e-07,
|
770 |
+
"logits/chosen": 0.12879224121570587,
|
771 |
+
"logits/rejected": 0.1979069709777832,
|
772 |
+
"logps/chosen": -426.343505859375,
|
773 |
+
"logps/rejected": -380.24493408203125,
|
774 |
+
"loss": 0.4398,
|
775 |
+
"rewards/accuracies": 0.856249988079071,
|
776 |
+
"rewards/chosen": -1.0752108097076416,
|
777 |
+
"rewards/margins": 0.9150044322013855,
|
778 |
+
"rewards/rejected": -1.9902150630950928,
|
779 |
"step": 550
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 1.57,
|
783 |
+
"learning_rate": 1.299115971923958e-07,
|
784 |
+
"logits/chosen": 0.12415747344493866,
|
785 |
+
"logits/rejected": 0.20912082493305206,
|
786 |
+
"logps/chosen": -448.64031982421875,
|
787 |
+
"logps/rejected": -442.22576904296875,
|
788 |
+
"loss": 0.4317,
|
789 |
+
"rewards/accuracies": 0.8687499761581421,
|
790 |
+
"rewards/chosen": -1.2348341941833496,
|
791 |
+
"rewards/margins": 0.9574505090713501,
|
792 |
+
"rewards/rejected": -2.1922848224639893,
|
793 |
"step": 560
|
794 |
},
|
795 |
{
|
796 |
+
"epoch": 1.6,
|
797 |
+
"learning_rate": 1.1383613128559305e-07,
|
798 |
+
"logits/chosen": 0.024107109755277634,
|
799 |
+
"logits/rejected": 0.1119920164346695,
|
800 |
+
"logps/chosen": -505.82928466796875,
|
801 |
+
"logps/rejected": -505.4091796875,
|
802 |
+
"loss": 0.426,
|
803 |
+
"rewards/accuracies": 0.8687499761581421,
|
804 |
+
"rewards/chosen": -1.2975566387176514,
|
805 |
+
"rewards/margins": 1.085707187652588,
|
806 |
+
"rewards/rejected": -2.3832640647888184,
|
807 |
"step": 570
|
808 |
},
|
809 |
+
{
|
810 |
+
"epoch": 1.63,
|
811 |
+
"learning_rate": 9.869388139903495e-08,
|
812 |
+
"logits/chosen": 0.012987576425075531,
|
813 |
+
"logits/rejected": 0.06353282183408737,
|
814 |
+
"logps/chosen": -541.9244995117188,
|
815 |
+
"logps/rejected": -499.44110107421875,
|
816 |
+
"loss": 0.4104,
|
817 |
+
"rewards/accuracies": 0.875,
|
818 |
+
"rewards/chosen": -1.3797237873077393,
|
819 |
+
"rewards/margins": 0.9557130932807922,
|
820 |
+
"rewards/rejected": -2.335437059402466,
|
821 |
+
"step": 580
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.66,
|
825 |
+
"learning_rate": 8.452144078061818e-08,
|
826 |
+
"logits/chosen": 0.14748625457286835,
|
827 |
+
"logits/rejected": 0.21033573150634766,
|
828 |
+
"logps/chosen": -428.7500915527344,
|
829 |
+
"logps/rejected": -418.6878356933594,
|
830 |
+
"loss": 0.4248,
|
831 |
+
"rewards/accuracies": 0.8062499761581421,
|
832 |
+
"rewards/chosen": -1.361243724822998,
|
833 |
+
"rewards/margins": 0.893297553062439,
|
834 |
+
"rewards/rejected": -2.2545411586761475,
|
835 |
+
"step": 590
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.69,
|
839 |
+
"learning_rate": 7.135305900598321e-08,
|
840 |
+
"logits/chosen": 0.012422094121575356,
|
841 |
+
"logits/rejected": 0.08027663081884384,
|
842 |
+
"logps/chosen": -506.3257751464844,
|
843 |
+
"logps/rejected": -460.52777099609375,
|
844 |
+
"loss": 0.4245,
|
845 |
+
"rewards/accuracies": 0.9125000238418579,
|
846 |
+
"rewards/chosen": -1.5179449319839478,
|
847 |
+
"rewards/margins": 1.0011281967163086,
|
848 |
+
"rewards/rejected": -2.5190727710723877,
|
849 |
+
"step": 600
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.71,
|
853 |
+
"learning_rate": 5.9220559209888166e-08,
|
854 |
+
"logits/chosen": 0.12760373950004578,
|
855 |
+
"logits/rejected": 0.20078882575035095,
|
856 |
+
"logps/chosen": -452.77734375,
|
857 |
+
"logps/rejected": -487.36016845703125,
|
858 |
+
"loss": 0.4266,
|
859 |
+
"rewards/accuracies": 0.862500011920929,
|
860 |
+
"rewards/chosen": -1.444874882698059,
|
861 |
+
"rewards/margins": 1.0283567905426025,
|
862 |
+
"rewards/rejected": -2.473231792449951,
|
863 |
+
"step": 610
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.74,
|
867 |
+
"learning_rate": 4.815326118139812e-08,
|
868 |
+
"logits/chosen": 0.14059333503246307,
|
869 |
+
"logits/rejected": 0.2606312930583954,
|
870 |
+
"logps/chosen": -415.8949279785156,
|
871 |
+
"logps/rejected": -418.4481506347656,
|
872 |
+
"loss": 0.4339,
|
873 |
+
"rewards/accuracies": 0.8187500238418579,
|
874 |
+
"rewards/chosen": -1.5133248567581177,
|
875 |
+
"rewards/margins": 0.8190656900405884,
|
876 |
+
"rewards/rejected": -2.332390546798706,
|
877 |
+
"step": 620
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.77,
|
881 |
+
"learning_rate": 3.81779105087407e-08,
|
882 |
+
"logits/chosen": 0.08177526295185089,
|
883 |
+
"logits/rejected": 0.21824178099632263,
|
884 |
+
"logps/chosen": -476.4537658691406,
|
885 |
+
"logps/rejected": -467.0603942871094,
|
886 |
+
"loss": 0.4436,
|
887 |
+
"rewards/accuracies": 0.8125,
|
888 |
+
"rewards/chosen": -1.559093713760376,
|
889 |
+
"rewards/margins": 0.9111778140068054,
|
890 |
+
"rewards/rejected": -2.470271587371826,
|
891 |
+
"step": 630
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.8,
|
895 |
+
"learning_rate": 2.9318613945057637e-08,
|
896 |
+
"logits/chosen": 0.12043829262256622,
|
897 |
+
"logits/rejected": 0.19589121639728546,
|
898 |
+
"logps/chosen": -504.67608642578125,
|
899 |
+
"logps/rejected": -489.88330078125,
|
900 |
+
"loss": 0.4181,
|
901 |
+
"rewards/accuracies": 0.856249988079071,
|
902 |
+
"rewards/chosen": -1.4812028408050537,
|
903 |
+
"rewards/margins": 1.078580617904663,
|
904 |
+
"rewards/rejected": -2.559783458709717,
|
905 |
+
"step": 640
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.83,
|
909 |
+
"learning_rate": 2.1596781151249523e-08,
|
910 |
+
"logits/chosen": 0.15832188725471497,
|
911 |
+
"logits/rejected": 0.2765315771102905,
|
912 |
+
"logps/chosen": -461.1602478027344,
|
913 |
+
"logps/rejected": -456.65826416015625,
|
914 |
+
"loss": 0.4321,
|
915 |
+
"rewards/accuracies": 0.8187500238418579,
|
916 |
+
"rewards/chosen": -1.4598538875579834,
|
917 |
+
"rewards/margins": 0.8676374554634094,
|
918 |
+
"rewards/rejected": -2.327491283416748,
|
919 |
+
"step": 650
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 1.85,
|
923 |
+
"learning_rate": 1.5031072956701695e-08,
|
924 |
+
"logits/chosen": 0.13437607884407043,
|
925 |
+
"logits/rejected": 0.19320687651634216,
|
926 |
+
"logps/chosen": -503.2486267089844,
|
927 |
+
"logps/rejected": -498.3321228027344,
|
928 |
+
"loss": 0.4196,
|
929 |
+
"rewards/accuracies": 0.856249988079071,
|
930 |
+
"rewards/chosen": -1.5257575511932373,
|
931 |
+
"rewards/margins": 1.106710433959961,
|
932 |
+
"rewards/rejected": -2.632467746734619,
|
933 |
+
"step": 660
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.88,
|
937 |
+
"learning_rate": 9.637356262923723e-09,
|
938 |
+
"logits/chosen": 0.24336127936840057,
|
939 |
+
"logits/rejected": 0.2697839140892029,
|
940 |
+
"logps/chosen": -468.03289794921875,
|
941 |
+
"logps/rejected": -444.1060485839844,
|
942 |
+
"loss": 0.4387,
|
943 |
+
"rewards/accuracies": 0.856249988079071,
|
944 |
+
"rewards/chosen": -1.5293312072753906,
|
945 |
+
"rewards/margins": 0.842644214630127,
|
946 |
+
"rewards/rejected": -2.3719754219055176,
|
947 |
+
"step": 670
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 1.91,
|
951 |
+
"learning_rate": 5.428665699084789e-09,
|
952 |
+
"logits/chosen": 0.10800081491470337,
|
953 |
+
"logits/rejected": 0.1402808427810669,
|
954 |
+
"logps/chosen": -492.41448974609375,
|
955 |
+
"logps/rejected": -494.878173828125,
|
956 |
+
"loss": 0.4088,
|
957 |
+
"rewards/accuracies": 0.84375,
|
958 |
+
"rewards/chosen": -1.4665706157684326,
|
959 |
+
"rewards/margins": 1.0468090772628784,
|
960 |
+
"rewards/rejected": -2.5133795738220215,
|
961 |
+
"step": 680
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 1.94,
|
965 |
+
"learning_rate": 2.415172122110343e-09,
|
966 |
+
"logits/chosen": 0.13986334204673767,
|
967 |
+
"logits/rejected": 0.26917481422424316,
|
968 |
+
"logps/chosen": -483.06024169921875,
|
969 |
+
"logps/rejected": -482.5399475097656,
|
970 |
+
"loss": 0.4382,
|
971 |
+
"rewards/accuracies": 0.84375,
|
972 |
+
"rewards/chosen": -1.4039775133132935,
|
973 |
+
"rewards/margins": 1.0037094354629517,
|
974 |
+
"rewards/rejected": -2.407686948776245,
|
975 |
+
"step": 690
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 1.97,
|
979 |
+
"learning_rate": 6.041580374618327e-10,
|
980 |
+
"logits/chosen": 0.105182945728302,
|
981 |
+
"logits/rejected": 0.17750731110572815,
|
982 |
+
"logps/chosen": -485.490478515625,
|
983 |
+
"logps/rejected": -456.46063232421875,
|
984 |
+
"loss": 0.4411,
|
985 |
+
"rewards/accuracies": 0.84375,
|
986 |
+
"rewards/chosen": -1.5071966648101807,
|
987 |
+
"rewards/margins": 0.8808605074882507,
|
988 |
+
"rewards/rejected": -2.388056993484497,
|
989 |
+
"step": 700
|
990 |
+
},
|
991 |
{
|
992 |
"epoch": 2.0,
|
993 |
"learning_rate": 0.0,
|
994 |
+
"logits/chosen": 0.1599053144454956,
|
995 |
+
"logits/rejected": 0.2173675298690796,
|
996 |
+
"logps/chosen": -413.2229919433594,
|
997 |
+
"logps/rejected": -438.8427734375,
|
998 |
+
"loss": 0.4277,
|
999 |
+
"rewards/accuracies": 0.875,
|
1000 |
+
"rewards/chosen": -1.4848761558532715,
|
1001 |
+
"rewards/margins": 0.8370813131332397,
|
1002 |
+
"rewards/rejected": -2.3219573497772217,
|
1003 |
+
"step": 710
|
1004 |
},
|
1005 |
{
|
1006 |
"epoch": 2.0,
|
1007 |
+
"step": 710,
|
1008 |
"total_flos": 0.0,
|
1009 |
+
"train_loss": 0.5407548575334146,
|
1010 |
+
"train_runtime": 10382.7821,
|
1011 |
+
"train_samples_per_second": 8.774,
|
1012 |
+
"train_steps_per_second": 0.068
|
1013 |
}
|
1014 |
],
|
1015 |
"logging_steps": 10,
|
1016 |
+
"max_steps": 710,
|
1017 |
"num_train_epochs": 2,
|
1018 |
"save_steps": 10000,
|
1019 |
"total_flos": 0.0,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6648
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1091900189f2bf20317d25f99163db88a112c122ef6171e24251c1551cf023ed
|
3 |
size 6648
|