Model save
Browse files- README.md +2 -2
- 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 +361 -865
- training_args.bin +1 -1
README.md
CHANGED
@@ -32,7 +32,7 @@ More information needed
|
|
32 |
### Training hyperparameters
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
-
- learning_rate:
|
36 |
- train_batch_size: 2
|
37 |
- eval_batch_size: 8
|
38 |
- seed: 1
|
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: cosine
|
46 |
- lr_scheduler_warmup_ratio: 0.1
|
47 |
-
- num_epochs:
|
48 |
|
49 |
### Training results
|
50 |
|
|
|
32 |
### Training hyperparameters
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
+
- learning_rate: 1e-06
|
36 |
- train_batch_size: 2
|
37 |
- eval_batch_size: 8
|
38 |
- seed: 1
|
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: cosine
|
46 |
- lr_scheduler_warmup_ratio: 0.1
|
47 |
+
- num_epochs: 1
|
48 |
|
49 |
### Training results
|
50 |
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 45548,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.4252443082735572,
|
4 |
+
"train_runtime": 5295.2592,
|
5 |
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.602,
|
7 |
+
"train_steps_per_second": 0.067
|
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:dd6c8b5e789d40ac409360c424a8b67feda543a63781afe42e29d899d8d9eb06
|
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 sha256:5b0a1631656d2ecd37e77ff857273ec92c8d505597cd8bfa395387a354a8e212
|
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:f3e1540e1e486049181a6f16931c2afcd0a03d7b78d6e2761ccc32a222ceeea9
|
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 sha256:05e6a30991b3a5a7c162f3ac654d34e3fae77ecb769c5715beb974b7faaf2c0f
|
3 |
size 1168138808
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 45548,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.4252443082735572,
|
4 |
+
"train_runtime": 5295.2592,
|
5 |
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.602,
|
7 |
+
"train_steps_per_second": 0.067
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,21 +1,21 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
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": 0.0,
|
13 |
-
"learning_rate":
|
14 |
-
"logits/chosen": -0.
|
15 |
-
"logits/rejected": -0.
|
16 |
-
"logps/chosen": -
|
17 |
-
"logps/rejected": -
|
18 |
-
"loss": 0.
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
@@ -24,1011 +24,507 @@
|
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.03,
|
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": -0.
|
35 |
-
"rewards/margins": -0.
|
36 |
-
"rewards/rejected": -0.
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.06,
|
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":
|
49 |
-
"rewards/margins": 0.
|
50 |
-
"rewards/rejected": -0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
-
"learning_rate":
|
56 |
-
"logits/chosen": -0.
|
57 |
-
"logits/rejected":
|
58 |
-
"logps/chosen": -
|
59 |
-
"logps/rejected": -
|
60 |
-
"loss": 0.
|
61 |
-
"rewards/accuracies": 0.
|
62 |
-
"rewards/chosen":
|
63 |
-
"rewards/margins": 0.
|
64 |
-
"rewards/rejected": -0.
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.11,
|
69 |
-
"learning_rate":
|
70 |
-
"logits/chosen": -0.
|
71 |
-
"logits/rejected": -0.
|
72 |
-
"logps/chosen": -
|
73 |
-
"logps/rejected": -
|
74 |
-
"loss": 0.
|
75 |
"rewards/accuracies": 0.5687500238418579,
|
76 |
-
"rewards/chosen": -0.
|
77 |
-
"rewards/margins": 0.
|
78 |
-
"rewards/rejected": -0.
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.14,
|
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": 0.
|
92 |
-
"rewards/rejected": -0.
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.17,
|
97 |
-
"learning_rate":
|
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": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.2,
|
111 |
-
"learning_rate":
|
112 |
-
"logits/chosen": -0.
|
113 |
-
"logits/rejected": -0.
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
118 |
-
"rewards/chosen":
|
119 |
-
"rewards/margins": 0.
|
120 |
-
"rewards/rejected": -0.
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.22,
|
125 |
-
"learning_rate":
|
126 |
-
"logits/chosen": 0.
|
127 |
-
"logits/rejected": 0.
|
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": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.25,
|
139 |
-
"learning_rate":
|
140 |
-
"logits/chosen": -0.
|
141 |
-
"logits/rejected": 0.
|
142 |
-
"logps/chosen": -
|
143 |
-
"logps/rejected": -
|
144 |
-
"loss": 0.
|
145 |
"rewards/accuracies": 0.71875,
|
146 |
-
"rewards/chosen":
|
147 |
-
"rewards/margins": 0.
|
148 |
-
"rewards/rejected": -0.
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.28,
|
153 |
-
"learning_rate":
|
154 |
-
"logits/chosen": 0.
|
155 |
-
"logits/rejected": 0.
|
156 |
-
"logps/chosen": -
|
157 |
-
"logps/rejected": -
|
158 |
-
"loss": 0.
|
159 |
-
"rewards/accuracies": 0.
|
160 |
-
"rewards/chosen":
|
161 |
-
"rewards/margins": 0.
|
162 |
-
"rewards/rejected": -0.
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.31,
|
167 |
-
"learning_rate":
|
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": 110
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.34,
|
181 |
-
"learning_rate":
|
182 |
-
"logits/chosen": -0.
|
183 |
-
"logits/rejected": -0.
|
184 |
-
"logps/chosen": -
|
185 |
-
"logps/rejected": -
|
186 |
-
"loss": 0.
|
187 |
-
"rewards/accuracies": 0.
|
188 |
-
"rewards/chosen":
|
189 |
-
"rewards/margins": 0.
|
190 |
-
"rewards/rejected": -
|
191 |
"step": 120
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.37,
|
195 |
-
"learning_rate":
|
196 |
-
"logits/chosen": 0.
|
197 |
-
"logits/rejected": 0.
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -
|
200 |
-
"loss": 0.
|
201 |
-
"rewards/accuracies": 0.
|
202 |
-
"rewards/chosen":
|
203 |
-
"rewards/margins": 0.
|
204 |
-
"rewards/rejected": -
|
205 |
"step": 130
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.39,
|
209 |
-
"learning_rate":
|
210 |
-
"logits/chosen": 0.
|
211 |
-
"logits/rejected": 0.
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen":
|
217 |
-
"rewards/margins": 0.
|
218 |
-
"rewards/rejected": -
|
219 |
"step": 140
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.42,
|
223 |
-
"learning_rate":
|
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": -
|
233 |
"step": 150
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.45,
|
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": -
|
247 |
"step": 160
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.48,
|
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": -
|
259 |
-
"rewards/margins": 0.
|
260 |
-
"rewards/rejected": -
|
261 |
"step": 170
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.51,
|
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": -
|
273 |
-
"rewards/margins": 0.
|
274 |
-
"rewards/rejected": -
|
275 |
"step": 180
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.53,
|
279 |
-
"learning_rate":
|
280 |
-
"logits/chosen": 0.
|
281 |
-
"logits/rejected": 0.
|
282 |
-
"logps/chosen": -
|
283 |
-
"logps/rejected": -
|
284 |
-
"loss": 0.
|
285 |
"rewards/accuracies": 0.668749988079071,
|
286 |
-
"rewards/chosen":
|
287 |
-
"rewards/margins": 0.
|
288 |
-
"rewards/rejected": -
|
289 |
"step": 190
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.56,
|
293 |
-
"learning_rate": 4.
|
294 |
-
"logits/chosen": -0.
|
295 |
-
"logits/rejected": 0.
|
296 |
-
"logps/chosen": -
|
297 |
-
"logps/rejected": -
|
298 |
-
"loss": 0.
|
299 |
-
"rewards/accuracies": 0.
|
300 |
-
"rewards/chosen": -
|
301 |
-
"rewards/margins": 0.
|
302 |
-
"rewards/rejected": -
|
303 |
"step": 200
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.59,
|
307 |
-
"learning_rate": 4.
|
308 |
-
"logits/chosen": 0.
|
309 |
-
"logits/rejected": 0.
|
310 |
-
"logps/chosen": -
|
311 |
-
"logps/rejected": -
|
312 |
-
"loss": 0.
|
313 |
-
"rewards/accuracies": 0.
|
314 |
-
"rewards/chosen": -
|
315 |
-
"rewards/margins": 0.
|
316 |
-
"rewards/rejected": -
|
317 |
"step": 210
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.62,
|
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": -
|
329 |
-
"rewards/margins": 0.
|
330 |
-
"rewards/rejected": -
|
331 |
"step": 220
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.65,
|
335 |
-
"learning_rate":
|
336 |
-
"logits/chosen": 0.
|
337 |
-
"logits/rejected": 0.
|
338 |
-
"logps/chosen": -
|
339 |
-
"logps/rejected": -
|
340 |
-
"loss": 0.
|
341 |
-
"rewards/accuracies": 0.
|
342 |
-
"rewards/chosen": -
|
343 |
-
"rewards/margins": 0.
|
344 |
-
"rewards/rejected": -
|
345 |
"step": 230
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.67,
|
349 |
-
"learning_rate":
|
350 |
-
"logits/chosen":
|
351 |
-
"logits/rejected": 0.
|
352 |
-
"logps/chosen": -
|
353 |
-
"logps/rejected": -
|
354 |
-
"loss": 0.
|
355 |
-
"rewards/accuracies": 0.
|
356 |
-
"rewards/chosen": -
|
357 |
-
"rewards/margins": 0.
|
358 |
-
"rewards/rejected": -
|
359 |
"step": 240
|
360 |
},
|
361 |
{
|
362 |
"epoch": 0.7,
|
363 |
-
"learning_rate":
|
364 |
-
"logits/chosen":
|
365 |
-
"logits/rejected": 0.
|
366 |
-
"logps/chosen": -
|
367 |
-
"logps/rejected": -
|
368 |
-
"loss": 0.
|
369 |
"rewards/accuracies": 0.6625000238418579,
|
370 |
-
"rewards/chosen": -
|
371 |
-
"rewards/margins": 0.
|
372 |
-
"rewards/rejected": -
|
373 |
"step": 250
|
374 |
},
|
375 |
{
|
376 |
"epoch": 0.73,
|
377 |
-
"learning_rate":
|
378 |
-
"logits/chosen": 0.
|
379 |
-
"logits/rejected": 0.
|
380 |
-
"logps/chosen": -
|
381 |
-
"logps/rejected": -
|
382 |
-
"loss": 0.
|
383 |
"rewards/accuracies": 0.625,
|
384 |
-
"rewards/chosen": -
|
385 |
-
"rewards/margins": 0.
|
386 |
-
"rewards/rejected": -
|
387 |
"step": 260
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.76,
|
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": -
|
399 |
-
"rewards/margins": 0.
|
400 |
-
"rewards/rejected": -
|
401 |
"step": 270
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.79,
|
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": -
|
413 |
-
"rewards/margins": 0.
|
414 |
-
"rewards/rejected": -
|
415 |
"step": 280
|
416 |
},
|
417 |
{
|
418 |
"epoch": 0.81,
|
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": -
|
427 |
-
"rewards/margins": 0.
|
428 |
-
"rewards/rejected": -
|
429 |
"step": 290
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.84,
|
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": -
|
441 |
-
"rewards/margins": 0.
|
442 |
-
"rewards/rejected": -
|
443 |
"step": 300
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.87,
|
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": -
|
455 |
-
"rewards/margins": 0.
|
456 |
-
"rewards/rejected": -
|
457 |
"step": 310
|
458 |
},
|
459 |
{
|
460 |
"epoch": 0.9,
|
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": 320
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.93,
|
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": 330
|
486 |
},
|
487 |
{
|
488 |
"epoch": 0.96,
|
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": 340
|
500 |
},
|
501 |
{
|
502 |
"epoch": 0.98,
|
503 |
-
"learning_rate":
|
504 |
-
"logits/chosen": 0.
|
505 |
-
"logits/rejected": 0.
|
506 |
-
"logps/chosen": -
|
507 |
-
"logps/rejected": -
|
508 |
-
"loss": 0.
|
509 |
-
"rewards/accuracies": 0.6812499761581421,
|
510 |
-
"rewards/chosen": -1.722198247909546,
|
511 |
-
"rewards/margins": 0.3744170069694519,
|
512 |
-
"rewards/rejected": -2.0966150760650635,
|
513 |
-
"step": 350
|
514 |
-
},
|
515 |
-
{
|
516 |
-
"epoch": 1.01,
|
517 |
-
"learning_rate": 2.8734737688890752e-06,
|
518 |
-
"logits/chosen": 0.3470906615257263,
|
519 |
-
"logits/rejected": 0.42189717292785645,
|
520 |
-
"logps/chosen": -492.981689453125,
|
521 |
-
"logps/rejected": -519.1780395507812,
|
522 |
-
"loss": 0.1261,
|
523 |
"rewards/accuracies": 0.6625000238418579,
|
524 |
-
"rewards/chosen": -
|
525 |
-
"rewards/margins": 0.
|
526 |
-
"rewards/rejected": -
|
527 |
-
"step":
|
528 |
-
},
|
529 |
-
{
|
530 |
-
"epoch": 1.04,
|
531 |
-
"learning_rate": 2.7515401865973333e-06,
|
532 |
-
"logits/chosen": 0.29653865098953247,
|
533 |
-
"logits/rejected": 0.31189900636672974,
|
534 |
-
"logps/chosen": -541.0857543945312,
|
535 |
-
"logps/rejected": -558.9527587890625,
|
536 |
-
"loss": 0.0325,
|
537 |
-
"rewards/accuracies": 0.8187500238418579,
|
538 |
-
"rewards/chosen": -1.839362382888794,
|
539 |
-
"rewards/margins": 1.2354429960250854,
|
540 |
-
"rewards/rejected": -3.074805498123169,
|
541 |
-
"step": 370
|
542 |
-
},
|
543 |
-
{
|
544 |
-
"epoch": 1.07,
|
545 |
-
"learning_rate": 2.628998724203683e-06,
|
546 |
-
"logits/chosen": 0.24393782019615173,
|
547 |
-
"logits/rejected": 0.3541429042816162,
|
548 |
-
"logps/chosen": -601.4793090820312,
|
549 |
-
"logps/rejected": -695.1011352539062,
|
550 |
-
"loss": 0.0162,
|
551 |
-
"rewards/accuracies": 0.793749988079071,
|
552 |
-
"rewards/chosen": -2.808850049972534,
|
553 |
-
"rewards/margins": 1.5772719383239746,
|
554 |
-
"rewards/rejected": -4.386122226715088,
|
555 |
-
"step": 380
|
556 |
-
},
|
557 |
-
{
|
558 |
-
"epoch": 1.1,
|
559 |
-
"learning_rate": 2.5061455193458326e-06,
|
560 |
-
"logits/chosen": 0.2903648018836975,
|
561 |
-
"logits/rejected": 0.4108067452907562,
|
562 |
-
"logps/chosen": -613.734619140625,
|
563 |
-
"logps/rejected": -712.7540893554688,
|
564 |
-
"loss": 0.0109,
|
565 |
-
"rewards/accuracies": 0.7749999761581421,
|
566 |
-
"rewards/chosen": -3.2557308673858643,
|
567 |
-
"rewards/margins": 1.669713020324707,
|
568 |
-
"rewards/rejected": -4.92544412612915,
|
569 |
-
"step": 390
|
570 |
-
},
|
571 |
-
{
|
572 |
-
"epoch": 1.12,
|
573 |
-
"learning_rate": 2.3832774630283534e-06,
|
574 |
-
"logits/chosen": 0.3819536864757538,
|
575 |
-
"logits/rejected": 0.4252726137638092,
|
576 |
-
"logps/chosen": -615.9334716796875,
|
577 |
-
"logps/rejected": -717.3001098632812,
|
578 |
-
"loss": 0.0112,
|
579 |
-
"rewards/accuracies": 0.8125,
|
580 |
-
"rewards/chosen": -2.7294070720672607,
|
581 |
-
"rewards/margins": 1.8411362171173096,
|
582 |
-
"rewards/rejected": -4.57054328918457,
|
583 |
-
"step": 400
|
584 |
-
},
|
585 |
-
{
|
586 |
-
"epoch": 1.15,
|
587 |
-
"learning_rate": 2.2606914821463317e-06,
|
588 |
-
"logits/chosen": 0.5641288161277771,
|
589 |
-
"logits/rejected": 0.5737628936767578,
|
590 |
-
"logps/chosen": -588.9856567382812,
|
591 |
-
"logps/rejected": -711.607421875,
|
592 |
-
"loss": 0.0108,
|
593 |
-
"rewards/accuracies": 0.793749988079071,
|
594 |
-
"rewards/chosen": -2.6725032329559326,
|
595 |
-
"rewards/margins": 2.191044330596924,
|
596 |
-
"rewards/rejected": -4.8635478019714355,
|
597 |
-
"step": 410
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 1.18,
|
601 |
-
"learning_rate": 2.138683821922287e-06,
|
602 |
-
"logits/chosen": 0.44424986839294434,
|
603 |
-
"logits/rejected": 0.5702834129333496,
|
604 |
-
"logps/chosen": -649.6632080078125,
|
605 |
-
"logps/rejected": -763.0523681640625,
|
606 |
-
"loss": 0.0084,
|
607 |
-
"rewards/accuracies": 0.8187500238418579,
|
608 |
-
"rewards/chosen": -3.1381773948669434,
|
609 |
-
"rewards/margins": 1.943543791770935,
|
610 |
-
"rewards/rejected": -5.081721305847168,
|
611 |
-
"step": 420
|
612 |
-
},
|
613 |
-
{
|
614 |
-
"epoch": 1.21,
|
615 |
-
"learning_rate": 2.0175493299904456e-06,
|
616 |
-
"logits/chosen": 0.5278526544570923,
|
617 |
-
"logits/rejected": 0.5699671506881714,
|
618 |
-
"logps/chosen": -760.1556396484375,
|
619 |
-
"logps/rejected": -837.56298828125,
|
620 |
-
"loss": 0.0057,
|
621 |
-
"rewards/accuracies": 0.8500000238418579,
|
622 |
-
"rewards/chosen": -3.7177700996398926,
|
623 |
-
"rewards/margins": 2.2982795238494873,
|
624 |
-
"rewards/rejected": -6.016049385070801,
|
625 |
-
"step": 430
|
626 |
-
},
|
627 |
-
{
|
628 |
-
"epoch": 1.24,
|
629 |
-
"learning_rate": 1.8975807438584643e-06,
|
630 |
-
"logits/chosen": 0.4808652400970459,
|
631 |
-
"logits/rejected": 0.5634757280349731,
|
632 |
-
"logps/chosen": -693.7796020507812,
|
633 |
-
"logps/rejected": -791.9578247070312,
|
634 |
-
"loss": 0.0054,
|
635 |
-
"rewards/accuracies": 0.7562500238418579,
|
636 |
-
"rewards/chosen": -3.8103713989257812,
|
637 |
-
"rewards/margins": 1.8808832168579102,
|
638 |
-
"rewards/rejected": -5.69125509262085,
|
639 |
-
"step": 440
|
640 |
-
},
|
641 |
-
{
|
642 |
-
"epoch": 1.26,
|
643 |
-
"learning_rate": 1.7790679834685615e-06,
|
644 |
-
"logits/chosen": 0.48697033524513245,
|
645 |
-
"logits/rejected": 0.6213686466217041,
|
646 |
-
"logps/chosen": -726.90185546875,
|
647 |
-
"logps/rejected": -848.7301635742188,
|
648 |
-
"loss": 0.0053,
|
649 |
-
"rewards/accuracies": 0.8125,
|
650 |
-
"rewards/chosen": -3.577058792114258,
|
651 |
-
"rewards/margins": 2.4176392555236816,
|
652 |
-
"rewards/rejected": -5.9946980476379395,
|
653 |
-
"step": 450
|
654 |
-
},
|
655 |
-
{
|
656 |
-
"epoch": 1.29,
|
657 |
-
"learning_rate": 1.662297450567663e-06,
|
658 |
-
"logits/chosen": 0.6364110708236694,
|
659 |
-
"logits/rejected": 0.7476580739021301,
|
660 |
-
"logps/chosen": -679.8997802734375,
|
661 |
-
"logps/rejected": -860.2080078125,
|
662 |
-
"loss": 0.0055,
|
663 |
-
"rewards/accuracies": 0.8187500238418579,
|
664 |
-
"rewards/chosen": -3.570373058319092,
|
665 |
-
"rewards/margins": 2.280672073364258,
|
666 |
-
"rewards/rejected": -5.85104513168335,
|
667 |
-
"step": 460
|
668 |
-
},
|
669 |
-
{
|
670 |
-
"epoch": 1.32,
|
671 |
-
"learning_rate": 1.5475513365797317e-06,
|
672 |
-
"logits/chosen": 0.47412365674972534,
|
673 |
-
"logits/rejected": 0.47869664430618286,
|
674 |
-
"logps/chosen": -706.4371337890625,
|
675 |
-
"logps/rejected": -842.859375,
|
676 |
-
"loss": 0.0054,
|
677 |
-
"rewards/accuracies": 0.8062499761581421,
|
678 |
-
"rewards/chosen": -3.590733766555786,
|
679 |
-
"rewards/margins": 2.3144545555114746,
|
680 |
-
"rewards/rejected": -5.90518856048584,
|
681 |
-
"step": 470
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 1.35,
|
685 |
-
"learning_rate": 1.435106940652901e-06,
|
686 |
-
"logits/chosen": 0.5485504865646362,
|
687 |
-
"logits/rejected": 0.681022584438324,
|
688 |
-
"logps/chosen": -682.8555908203125,
|
689 |
-
"logps/rejected": -810.1474609375,
|
690 |
-
"loss": 0.0055,
|
691 |
-
"rewards/accuracies": 0.800000011920929,
|
692 |
-
"rewards/chosen": -3.3580360412597656,
|
693 |
-
"rewards/margins": 2.372495174407959,
|
694 |
-
"rewards/rejected": -5.730531215667725,
|
695 |
-
"step": 480
|
696 |
-
},
|
697 |
-
{
|
698 |
-
"epoch": 1.38,
|
699 |
-
"learning_rate": 1.3252359995294376e-06,
|
700 |
-
"logits/chosen": 0.5862436890602112,
|
701 |
-
"logits/rejected": 0.6748989820480347,
|
702 |
-
"logps/chosen": -704.3018188476562,
|
703 |
-
"logps/rejected": -828.2868041992188,
|
704 |
-
"loss": 0.0047,
|
705 |
-
"rewards/accuracies": 0.8500000238418579,
|
706 |
-
"rewards/chosen": -3.270312786102295,
|
707 |
-
"rewards/margins": 2.447282075881958,
|
708 |
-
"rewards/rejected": -5.717595100402832,
|
709 |
-
"step": 490
|
710 |
-
},
|
711 |
-
{
|
712 |
-
"epoch": 1.4,
|
713 |
-
"learning_rate": 1.2182040308579942e-06,
|
714 |
-
"logits/chosen": 0.5599916577339172,
|
715 |
-
"logits/rejected": 0.6381617784500122,
|
716 |
-
"logps/chosen": -757.0291748046875,
|
717 |
-
"logps/rejected": -892.974609375,
|
718 |
-
"loss": 0.0041,
|
719 |
-
"rewards/accuracies": 0.8062499761581421,
|
720 |
-
"rewards/chosen": -3.7352547645568848,
|
721 |
-
"rewards/margins": 2.5722806453704834,
|
722 |
-
"rewards/rejected": -6.307535171508789,
|
723 |
-
"step": 500
|
724 |
-
},
|
725 |
-
{
|
726 |
-
"epoch": 1.43,
|
727 |
-
"learning_rate": 1.114269691535125e-06,
|
728 |
-
"logits/chosen": 0.6536546945571899,
|
729 |
-
"logits/rejected": 0.7505389451980591,
|
730 |
-
"logps/chosen": -729.1384887695312,
|
731 |
-
"logps/rejected": -864.0009765625,
|
732 |
-
"loss": 0.004,
|
733 |
-
"rewards/accuracies": 0.78125,
|
734 |
-
"rewards/chosen": -3.6905455589294434,
|
735 |
-
"rewards/margins": 2.2943015098571777,
|
736 |
-
"rewards/rejected": -5.984846591949463,
|
737 |
-
"step": 510
|
738 |
-
},
|
739 |
-
{
|
740 |
-
"epoch": 1.46,
|
741 |
-
"learning_rate": 1.013684152626709e-06,
|
742 |
-
"logits/chosen": 0.5734939575195312,
|
743 |
-
"logits/rejected": 0.6782180070877075,
|
744 |
-
"logps/chosen": -710.2030029296875,
|
745 |
-
"logps/rejected": -866.6712646484375,
|
746 |
-
"loss": 0.0042,
|
747 |
-
"rewards/accuracies": 0.8374999761581421,
|
748 |
-
"rewards/chosen": -3.7363319396972656,
|
749 |
-
"rewards/margins": 2.6266465187072754,
|
750 |
-
"rewards/rejected": -6.362977981567383,
|
751 |
-
"step": 520
|
752 |
-
},
|
753 |
-
{
|
754 |
-
"epoch": 1.49,
|
755 |
-
"learning_rate": 9.166904923798822e-07,
|
756 |
-
"logits/chosen": 0.6636993885040283,
|
757 |
-
"logits/rejected": 0.7554783225059509,
|
758 |
-
"logps/chosen": -705.7659912109375,
|
759 |
-
"logps/rejected": -842.1114501953125,
|
760 |
-
"loss": 0.0035,
|
761 |
-
"rewards/accuracies": 0.762499988079071,
|
762 |
-
"rewards/chosen": -3.721928358078003,
|
763 |
-
"rewards/margins": 2.2212657928466797,
|
764 |
-
"rewards/rejected": -5.943194389343262,
|
765 |
-
"step": 530
|
766 |
-
},
|
767 |
-
{
|
768 |
-
"epoch": 1.52,
|
769 |
-
"learning_rate": 8.235231087923304e-07,
|
770 |
-
"logits/chosen": 0.5900656580924988,
|
771 |
-
"logits/rejected": 0.7390304803848267,
|
772 |
-
"logps/chosen": -762.967041015625,
|
773 |
-
"logps/rejected": -907.9431762695312,
|
774 |
-
"loss": 0.0039,
|
775 |
-
"rewards/accuracies": 0.862500011920929,
|
776 |
-
"rewards/chosen": -3.7577643394470215,
|
777 |
-
"rewards/margins": 2.781780242919922,
|
778 |
-
"rewards/rejected": -6.539544582366943,
|
779 |
-
"step": 540
|
780 |
-
},
|
781 |
-
{
|
782 |
-
"epoch": 1.55,
|
783 |
-
"learning_rate": 7.344071531585462e-07,
|
784 |
-
"logits/chosen": 0.6735460162162781,
|
785 |
-
"logits/rejected": 0.7701358795166016,
|
786 |
-
"logps/chosen": -721.6229248046875,
|
787 |
-
"logps/rejected": -840.623046875,
|
788 |
-
"loss": 0.0035,
|
789 |
-
"rewards/accuracies": 0.800000011920929,
|
790 |
-
"rewards/chosen": -3.9318947792053223,
|
791 |
-
"rewards/margins": 2.4454891681671143,
|
792 |
-
"rewards/rejected": -6.377383232116699,
|
793 |
-
"step": 550
|
794 |
-
},
|
795 |
-
{
|
796 |
-
"epoch": 1.57,
|
797 |
-
"learning_rate": 6.495579859619791e-07,
|
798 |
-
"logits/chosen": 0.6034525632858276,
|
799 |
-
"logits/rejected": 0.7575315237045288,
|
800 |
-
"logps/chosen": -774.0142211914062,
|
801 |
-
"logps/rejected": -933.1998291015625,
|
802 |
-
"loss": 0.0038,
|
803 |
-
"rewards/accuracies": 0.8062499761581421,
|
804 |
-
"rewards/chosen": -4.213502407073975,
|
805 |
-
"rewards/margins": 2.61598801612854,
|
806 |
-
"rewards/rejected": -6.829490661621094,
|
807 |
-
"step": 560
|
808 |
-
},
|
809 |
-
{
|
810 |
-
"epoch": 1.6,
|
811 |
-
"learning_rate": 5.691806564279653e-07,
|
812 |
-
"logits/chosen": 0.6900167465209961,
|
813 |
-
"logits/rejected": 0.8468635678291321,
|
814 |
-
"logps/chosen": -746.2769775390625,
|
815 |
-
"logps/rejected": -889.0632934570312,
|
816 |
-
"loss": 0.0034,
|
817 |
-
"rewards/accuracies": 0.831250011920929,
|
818 |
-
"rewards/chosen": -3.694833278656006,
|
819 |
-
"rewards/margins": 2.6152822971343994,
|
820 |
-
"rewards/rejected": -6.310114860534668,
|
821 |
-
"step": 570
|
822 |
-
},
|
823 |
-
{
|
824 |
-
"epoch": 1.63,
|
825 |
-
"learning_rate": 4.934694069951748e-07,
|
826 |
-
"logits/chosen": 0.6488009691238403,
|
827 |
-
"logits/rejected": 0.6377809643745422,
|
828 |
-
"logps/chosen": -676.0171508789062,
|
829 |
-
"logps/rejected": -875.9207763671875,
|
830 |
-
"loss": 0.0033,
|
831 |
-
"rewards/accuracies": 0.8125,
|
832 |
-
"rewards/chosen": -3.6097030639648438,
|
833 |
-
"rewards/margins": 2.43593168258667,
|
834 |
-
"rewards/rejected": -6.04563570022583,
|
835 |
-
"step": 580
|
836 |
-
},
|
837 |
-
{
|
838 |
-
"epoch": 1.66,
|
839 |
-
"learning_rate": 4.22607203903091e-07,
|
840 |
-
"logits/chosen": 0.6412608623504639,
|
841 |
-
"logits/rejected": 0.7388615608215332,
|
842 |
-
"logps/chosen": -764.0328369140625,
|
843 |
-
"logps/rejected": -968.5056762695312,
|
844 |
-
"loss": 0.0035,
|
845 |
-
"rewards/accuracies": 0.856249988079071,
|
846 |
-
"rewards/chosen": -4.044827461242676,
|
847 |
-
"rewards/margins": 3.0036702156066895,
|
848 |
-
"rewards/rejected": -7.048497676849365,
|
849 |
-
"step": 590
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 1.69,
|
853 |
-
"learning_rate": 3.5676529502991606e-07,
|
854 |
-
"logits/chosen": 0.6487208604812622,
|
855 |
-
"logits/rejected": 0.7878293395042419,
|
856 |
-
"logps/chosen": -745.95556640625,
|
857 |
-
"logps/rejected": -838.0792236328125,
|
858 |
-
"loss": 0.0039,
|
859 |
-
"rewards/accuracies": 0.8187500238418579,
|
860 |
-
"rewards/chosen": -3.73905611038208,
|
861 |
-
"rewards/margins": 2.3786799907684326,
|
862 |
-
"rewards/rejected": -6.117735862731934,
|
863 |
-
"step": 600
|
864 |
-
},
|
865 |
-
{
|
866 |
-
"epoch": 1.71,
|
867 |
-
"learning_rate": 2.961027960494409e-07,
|
868 |
-
"logits/chosen": 0.6219756603240967,
|
869 |
-
"logits/rejected": 0.6644929647445679,
|
870 |
-
"logps/chosen": -760.4959106445312,
|
871 |
-
"logps/rejected": -936.97265625,
|
872 |
-
"loss": 0.0036,
|
873 |
-
"rewards/accuracies": 0.824999988079071,
|
874 |
-
"rewards/chosen": -3.9651145935058594,
|
875 |
-
"rewards/margins": 2.757819652557373,
|
876 |
-
"rewards/rejected": -6.722934722900391,
|
877 |
-
"step": 610
|
878 |
-
},
|
879 |
-
{
|
880 |
-
"epoch": 1.74,
|
881 |
-
"learning_rate": 2.4076630590699065e-07,
|
882 |
-
"logits/chosen": 0.6320921182632446,
|
883 |
-
"logits/rejected": 0.7059046626091003,
|
884 |
-
"logps/chosen": -700.6550903320312,
|
885 |
-
"logps/rejected": -826.9192504882812,
|
886 |
-
"loss": 0.0037,
|
887 |
-
"rewards/accuracies": 0.8500000238418579,
|
888 |
-
"rewards/chosen": -3.5051655769348145,
|
889 |
-
"rewards/margins": 2.5177574157714844,
|
890 |
-
"rewards/rejected": -6.022922515869141,
|
891 |
-
"step": 620
|
892 |
-
},
|
893 |
-
{
|
894 |
-
"epoch": 1.77,
|
895 |
-
"learning_rate": 1.9088955254370351e-07,
|
896 |
-
"logits/chosen": 0.5824363827705383,
|
897 |
-
"logits/rejected": 0.765023946762085,
|
898 |
-
"logps/chosen": -715.6721801757812,
|
899 |
-
"logps/rejected": -855.0099487304688,
|
900 |
-
"loss": 0.0042,
|
901 |
-
"rewards/accuracies": 0.793749988079071,
|
902 |
-
"rewards/chosen": -3.933236598968506,
|
903 |
-
"rewards/margins": 2.2994723320007324,
|
904 |
-
"rewards/rejected": -6.232708930969238,
|
905 |
-
"step": 630
|
906 |
-
},
|
907 |
-
{
|
908 |
-
"epoch": 1.8,
|
909 |
-
"learning_rate": 1.465930697252882e-07,
|
910 |
-
"logits/chosen": 0.5748051404953003,
|
911 |
-
"logits/rejected": 0.668735146522522,
|
912 |
-
"logps/chosen": -811.7765502929688,
|
913 |
-
"logps/rejected": -966.9187622070312,
|
914 |
-
"loss": 0.0032,
|
915 |
-
"rewards/accuracies": 0.862500011920929,
|
916 |
-
"rewards/chosen": -4.106084823608398,
|
917 |
-
"rewards/margins": 2.9647626876831055,
|
918 |
-
"rewards/rejected": -7.070847988128662,
|
919 |
-
"step": 640
|
920 |
-
},
|
921 |
-
{
|
922 |
-
"epoch": 1.83,
|
923 |
-
"learning_rate": 1.0798390575624762e-07,
|
924 |
-
"logits/chosen": 0.7111840844154358,
|
925 |
-
"logits/rejected": 0.8005073666572571,
|
926 |
-
"logps/chosen": -721.6022338867188,
|
927 |
-
"logps/rejected": -854.2897338867188,
|
928 |
-
"loss": 0.0033,
|
929 |
-
"rewards/accuracies": 0.8374999761581421,
|
930 |
-
"rewards/chosen": -3.6958014965057373,
|
931 |
-
"rewards/margins": 2.6302475929260254,
|
932 |
-
"rewards/rejected": -6.326048851013184,
|
933 |
-
"step": 650
|
934 |
-
},
|
935 |
-
{
|
936 |
-
"epoch": 1.85,
|
937 |
-
"learning_rate": 7.515536478350849e-08,
|
938 |
-
"logits/chosen": 0.6084551215171814,
|
939 |
-
"logits/rejected": 0.6986690163612366,
|
940 |
-
"logps/chosen": -774.9620361328125,
|
941 |
-
"logps/rejected": -953.1961669921875,
|
942 |
-
"loss": 0.0036,
|
943 |
-
"rewards/accuracies": 0.875,
|
944 |
-
"rewards/chosen": -3.89312481880188,
|
945 |
-
"rewards/margins": 2.904383420944214,
|
946 |
-
"rewards/rejected": -6.79750919342041,
|
947 |
-
"step": 660
|
948 |
-
},
|
949 |
-
{
|
950 |
-
"epoch": 1.88,
|
951 |
-
"learning_rate": 4.818678131461862e-08,
|
952 |
-
"logits/chosen": 0.7103031277656555,
|
953 |
-
"logits/rejected": 0.8091765642166138,
|
954 |
-
"logps/chosen": -720.9351806640625,
|
955 |
-
"logps/rejected": -879.3292846679688,
|
956 |
-
"loss": 0.0028,
|
957 |
-
"rewards/accuracies": 0.8374999761581421,
|
958 |
-
"rewards/chosen": -3.853041887283325,
|
959 |
-
"rewards/margins": 2.506618022918701,
|
960 |
-
"rewards/rejected": -6.359659671783447,
|
961 |
-
"step": 670
|
962 |
-
},
|
963 |
-
{
|
964 |
-
"epoch": 1.91,
|
965 |
-
"learning_rate": 2.7143328495423948e-08,
|
966 |
-
"logits/chosen": 0.5255075693130493,
|
967 |
-
"logits/rejected": 0.7452009320259094,
|
968 |
-
"logps/chosen": -735.2042236328125,
|
969 |
-
"logps/rejected": -863.3488159179688,
|
970 |
-
"loss": 0.0034,
|
971 |
-
"rewards/accuracies": 0.824999988079071,
|
972 |
-
"rewards/chosen": -3.803483247756958,
|
973 |
-
"rewards/margins": 2.5907998085021973,
|
974 |
-
"rewards/rejected": -6.394282817840576,
|
975 |
-
"step": 680
|
976 |
-
},
|
977 |
-
{
|
978 |
-
"epoch": 1.94,
|
979 |
-
"learning_rate": 1.2075860610551715e-08,
|
980 |
-
"logits/chosen": 0.4812963604927063,
|
981 |
-
"logits/rejected": 0.5726746320724487,
|
982 |
-
"logps/chosen": -796.3458251953125,
|
983 |
-
"logps/rejected": -932.7238159179688,
|
984 |
-
"loss": 0.0033,
|
985 |
-
"rewards/accuracies": 0.8374999761581421,
|
986 |
-
"rewards/chosen": -4.022668361663818,
|
987 |
-
"rewards/margins": 2.6870803833007812,
|
988 |
-
"rewards/rejected": -6.7097487449646,
|
989 |
-
"step": 690
|
990 |
-
},
|
991 |
-
{
|
992 |
-
"epoch": 1.97,
|
993 |
-
"learning_rate": 3.0207901873091638e-09,
|
994 |
-
"logits/chosen": 0.6011410355567932,
|
995 |
-
"logits/rejected": 0.7141892313957214,
|
996 |
-
"logps/chosen": -788.8591918945312,
|
997 |
-
"logps/rejected": -992.2294921875,
|
998 |
-
"loss": 0.0025,
|
999 |
-
"rewards/accuracies": 0.831250011920929,
|
1000 |
-
"rewards/chosen": -4.254032611846924,
|
1001 |
-
"rewards/margins": 2.852738380432129,
|
1002 |
-
"rewards/rejected": -7.1067705154418945,
|
1003 |
-
"step": 700
|
1004 |
-
},
|
1005 |
-
{
|
1006 |
-
"epoch": 2.0,
|
1007 |
-
"learning_rate": 0.0,
|
1008 |
-
"logits/chosen": 0.6989771127700806,
|
1009 |
-
"logits/rejected": 0.749651312828064,
|
1010 |
-
"logps/chosen": -713.0648803710938,
|
1011 |
-
"logps/rejected": -953.052734375,
|
1012 |
-
"loss": 0.0041,
|
1013 |
-
"rewards/accuracies": 0.8500000238418579,
|
1014 |
-
"rewards/chosen": -3.8918204307556152,
|
1015 |
-
"rewards/margins": 3.1703882217407227,
|
1016 |
-
"rewards/rejected": -7.062208652496338,
|
1017 |
-
"step": 710
|
1018 |
},
|
1019 |
{
|
1020 |
-
"epoch":
|
1021 |
-
"step":
|
1022 |
"total_flos": 0.0,
|
1023 |
-
"train_loss": 0.
|
1024 |
-
"train_runtime":
|
1025 |
-
"train_samples_per_second":
|
1026 |
-
"train_steps_per_second": 0.
|
1027 |
}
|
1028 |
],
|
1029 |
"logging_steps": 10,
|
1030 |
-
"max_steps":
|
1031 |
-
"num_train_epochs":
|
1032 |
"save_steps": 10000,
|
1033 |
"total_flos": 0.0,
|
1034 |
"trial_name": null,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9975412715138743,
|
5 |
"eval_steps": 10000,
|
6 |
+
"global_step": 355,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.7777777777777774e-08,
|
14 |
+
"logits/chosen": -0.13174405694007874,
|
15 |
+
"logits/rejected": -0.027169257402420044,
|
16 |
+
"logps/chosen": -477.4691162109375,
|
17 |
+
"logps/rejected": -277.6482238769531,
|
18 |
+
"loss": 0.4106,
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
|
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
+
"learning_rate": 2.7777777777777776e-07,
|
28 |
+
"logits/chosen": -0.0896572694182396,
|
29 |
+
"logits/rejected": -0.04708625003695488,
|
30 |
+
"logps/chosen": -334.1234130859375,
|
31 |
+
"logps/rejected": -264.19927978515625,
|
32 |
+
"loss": 0.4187,
|
33 |
+
"rewards/accuracies": 0.4027777910232544,
|
34 |
+
"rewards/chosen": -0.0011318529723212123,
|
35 |
+
"rewards/margins": -0.0006679879734292626,
|
36 |
+
"rewards/rejected": -0.0004638649697881192,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.06,
|
41 |
+
"learning_rate": 5.555555555555555e-07,
|
42 |
+
"logits/chosen": -0.06541652977466583,
|
43 |
+
"logits/rejected": -0.027149802073836327,
|
44 |
+
"logps/chosen": -312.1936950683594,
|
45 |
+
"logps/rejected": -212.1822967529297,
|
46 |
+
"loss": 0.422,
|
47 |
+
"rewards/accuracies": 0.5874999761581421,
|
48 |
+
"rewards/chosen": 0.0018345726421102881,
|
49 |
+
"rewards/margins": 0.008850323967635632,
|
50 |
+
"rewards/rejected": -0.007015751209110022,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
+
"learning_rate": 8.333333333333333e-07,
|
56 |
+
"logits/chosen": -0.033993594348430634,
|
57 |
+
"logits/rejected": 0.014452556148171425,
|
58 |
+
"logps/chosen": -369.52886962890625,
|
59 |
+
"logps/rejected": -227.0442657470703,
|
60 |
+
"loss": 0.4287,
|
61 |
+
"rewards/accuracies": 0.5874999761581421,
|
62 |
+
"rewards/chosen": 0.012805985286831856,
|
63 |
+
"rewards/margins": 0.05532551556825638,
|
64 |
+
"rewards/rejected": -0.04251953214406967,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.11,
|
69 |
+
"learning_rate": 9.99612097830993e-07,
|
70 |
+
"logits/chosen": -0.049494121223688126,
|
71 |
+
"logits/rejected": -0.007341804448515177,
|
72 |
+
"logps/chosen": -328.2823791503906,
|
73 |
+
"logps/rejected": -251.8525848388672,
|
74 |
+
"loss": 0.4553,
|
75 |
"rewards/accuracies": 0.5687500238418579,
|
76 |
+
"rewards/chosen": -0.03969588130712509,
|
77 |
+
"rewards/margins": 0.06737084686756134,
|
78 |
+
"rewards/rejected": -0.10706672817468643,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.14,
|
83 |
+
"learning_rate": 9.952551076085863e-07,
|
84 |
+
"logits/chosen": -0.054784227162599564,
|
85 |
+
"logits/rejected": -0.018202614039182663,
|
86 |
+
"logps/chosen": -343.4543762207031,
|
87 |
+
"logps/rejected": -278.887451171875,
|
88 |
+
"loss": 0.478,
|
89 |
+
"rewards/accuracies": 0.606249988079071,
|
90 |
+
"rewards/chosen": -0.029784226790070534,
|
91 |
+
"rewards/margins": 0.14676395058631897,
|
92 |
+
"rewards/rejected": -0.17654818296432495,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.17,
|
97 |
+
"learning_rate": 9.860986139994238e-07,
|
98 |
+
"logits/chosen": -0.17503580451011658,
|
99 |
+
"logits/rejected": -0.10935833305120468,
|
100 |
+
"logps/chosen": -399.97161865234375,
|
101 |
+
"logps/rejected": -245.5420684814453,
|
102 |
+
"loss": 0.4856,
|
103 |
+
"rewards/accuracies": 0.6875,
|
104 |
+
"rewards/chosen": 0.0788765698671341,
|
105 |
+
"rewards/margins": 0.30753207206726074,
|
106 |
+
"rewards/rejected": -0.22865548729896545,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.2,
|
111 |
+
"learning_rate": 9.722313523268027e-07,
|
112 |
+
"logits/chosen": -0.13078172504901886,
|
113 |
+
"logits/rejected": -0.018874743953347206,
|
114 |
+
"logps/chosen": -382.87396240234375,
|
115 |
+
"logps/rejected": -252.6072540283203,
|
116 |
+
"loss": 0.4667,
|
117 |
+
"rewards/accuracies": 0.6000000238418579,
|
118 |
+
"rewards/chosen": 0.09564249962568283,
|
119 |
+
"rewards/margins": 0.21217863261699677,
|
120 |
+
"rewards/rejected": -0.11653614044189453,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.22,
|
125 |
+
"learning_rate": 9.537877098354784e-07,
|
126 |
+
"logits/chosen": 0.019111448898911476,
|
127 |
+
"logits/rejected": 0.04028189927339554,
|
128 |
+
"logps/chosen": -277.33154296875,
|
129 |
+
"logps/rejected": -215.5694122314453,
|
130 |
+
"loss": 0.4657,
|
131 |
+
"rewards/accuracies": 0.606249988079071,
|
132 |
+
"rewards/chosen": 0.01853206194937229,
|
133 |
+
"rewards/margins": 0.18713198602199554,
|
134 |
+
"rewards/rejected": -0.168599933385849,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.25,
|
139 |
+
"learning_rate": 9.309464233486386e-07,
|
140 |
+
"logits/chosen": -0.184749573469162,
|
141 |
+
"logits/rejected": -0.12197474390268326,
|
142 |
+
"logps/chosen": -374.56268310546875,
|
143 |
+
"logps/rejected": -224.47860717773438,
|
144 |
+
"loss": 0.4724,
|
145 |
"rewards/accuracies": 0.71875,
|
146 |
+
"rewards/chosen": 0.19164375960826874,
|
147 |
+
"rewards/margins": 0.33850011229515076,
|
148 |
+
"rewards/rejected": -0.1468563675880432,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.28,
|
153 |
+
"learning_rate": 9.039288471343504e-07,
|
154 |
+
"logits/chosen": -0.06358620524406433,
|
155 |
+
"logits/rejected": -0.022323714569211006,
|
156 |
+
"logps/chosen": -352.3625183105469,
|
157 |
+
"logps/rejected": -265.12457275390625,
|
158 |
+
"loss": 0.4579,
|
159 |
+
"rewards/accuracies": 0.6187499761581421,
|
160 |
+
"rewards/chosen": 0.11637835204601288,
|
161 |
+
"rewards/margins": 0.15370506048202515,
|
162 |
+
"rewards/rejected": -0.03732669726014137,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.31,
|
167 |
+
"learning_rate": 8.729968077675454e-07,
|
168 |
+
"logits/chosen": -0.16022691130638123,
|
169 |
+
"logits/rejected": -0.06551636755466461,
|
170 |
+
"logps/chosen": -304.0919189453125,
|
171 |
+
"logps/rejected": -257.5033874511719,
|
172 |
+
"loss": 0.4444,
|
173 |
+
"rewards/accuracies": 0.606249988079071,
|
174 |
+
"rewards/chosen": 0.09323982149362564,
|
175 |
+
"rewards/margins": 0.10607878863811493,
|
176 |
+
"rewards/rejected": -0.012838983908295631,
|
177 |
"step": 110
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.34,
|
181 |
+
"learning_rate": 8.384500667760089e-07,
|
182 |
+
"logits/chosen": -0.18294575810432434,
|
183 |
+
"logits/rejected": -0.1334661990404129,
|
184 |
+
"logps/chosen": -323.1263427734375,
|
185 |
+
"logps/rejected": -206.44387817382812,
|
186 |
+
"loss": 0.4535,
|
187 |
+
"rewards/accuracies": 0.65625,
|
188 |
+
"rewards/chosen": 0.17489886283874512,
|
189 |
+
"rewards/margins": 0.1883935183286667,
|
190 |
+
"rewards/rejected": -0.013494668528437614,
|
191 |
"step": 120
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.37,
|
195 |
+
"learning_rate": 8.006234156598042e-07,
|
196 |
+
"logits/chosen": -0.09687581658363342,
|
197 |
+
"logits/rejected": -0.0031311712227761745,
|
198 |
+
"logps/chosen": -361.1056823730469,
|
199 |
+
"logps/rejected": -219.41552734375,
|
200 |
+
"loss": 0.4484,
|
201 |
+
"rewards/accuracies": 0.625,
|
202 |
+
"rewards/chosen": 0.12578140199184418,
|
203 |
+
"rewards/margins": 0.2744066119194031,
|
204 |
+
"rewards/rejected": -0.1486252248287201,
|
205 |
"step": 130
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.39,
|
209 |
+
"learning_rate": 7.59883431436215e-07,
|
210 |
+
"logits/chosen": -0.03516136482357979,
|
211 |
+
"logits/rejected": -0.005446717143058777,
|
212 |
+
"logps/chosen": -316.314208984375,
|
213 |
+
"logps/rejected": -241.97024536132812,
|
214 |
+
"loss": 0.4383,
|
215 |
+
"rewards/accuracies": 0.625,
|
216 |
+
"rewards/chosen": 0.025916021317243576,
|
217 |
+
"rewards/margins": 0.16546496748924255,
|
218 |
+
"rewards/rejected": -0.13954894244670868,
|
219 |
"step": 140
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.42,
|
223 |
+
"learning_rate": 7.166249241521318e-07,
|
224 |
+
"logits/chosen": 0.0030886970926076174,
|
225 |
+
"logits/rejected": 0.06723493337631226,
|
226 |
+
"logps/chosen": -293.86627197265625,
|
227 |
+
"logps/rejected": -255.26492309570312,
|
228 |
+
"loss": 0.4382,
|
229 |
+
"rewards/accuracies": 0.606249988079071,
|
230 |
+
"rewards/chosen": -0.05645722150802612,
|
231 |
+
"rewards/margins": 0.17538480460643768,
|
232 |
+
"rewards/rejected": -0.2318420112133026,
|
233 |
"step": 150
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.45,
|
237 |
+
"learning_rate": 6.712671107909358e-07,
|
238 |
+
"logits/chosen": -0.03268152475357056,
|
239 |
+
"logits/rejected": 0.12709534168243408,
|
240 |
+
"logps/chosen": -369.74859619140625,
|
241 |
+
"logps/rejected": -260.13128662109375,
|
242 |
+
"loss": 0.4255,
|
243 |
+
"rewards/accuracies": 0.643750011920929,
|
244 |
+
"rewards/chosen": 0.003464625682681799,
|
245 |
+
"rewards/margins": 0.2506219744682312,
|
246 |
+
"rewards/rejected": -0.24715733528137207,
|
247 |
"step": 160
|
248 |
},
|
249 |
{
|
250 |
"epoch": 0.48,
|
251 |
+
"learning_rate": 6.24249552652447e-07,
|
252 |
+
"logits/chosen": 0.04178273305296898,
|
253 |
+
"logits/rejected": 0.12335582822561264,
|
254 |
+
"logps/chosen": -316.4767150878906,
|
255 |
+
"logps/rejected": -268.18829345703125,
|
256 |
+
"loss": 0.4169,
|
257 |
+
"rewards/accuracies": 0.59375,
|
258 |
+
"rewards/chosen": -0.006209957879036665,
|
259 |
+
"rewards/margins": 0.20326288044452667,
|
260 |
+
"rewards/rejected": -0.20947282016277313,
|
261 |
"step": 170
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.51,
|
265 |
+
"learning_rate": 5.760278955766694e-07,
|
266 |
+
"logits/chosen": -0.12427058070898056,
|
267 |
+
"logits/rejected": 0.009830540046095848,
|
268 |
+
"logps/chosen": -327.13958740234375,
|
269 |
+
"logps/rejected": -258.3717041015625,
|
270 |
+
"loss": 0.4267,
|
271 |
+
"rewards/accuracies": 0.5874999761581421,
|
272 |
+
"rewards/chosen": -0.042253121733665466,
|
273 |
+
"rewards/margins": 0.19665148854255676,
|
274 |
+
"rewards/rejected": -0.23890459537506104,
|
275 |
"step": 180
|
276 |
},
|
277 |
{
|
278 |
"epoch": 0.53,
|
279 |
+
"learning_rate": 5.270694542927088e-07,
|
280 |
+
"logits/chosen": -0.16560761630535126,
|
281 |
+
"logits/rejected": -0.04073227569460869,
|
282 |
+
"logps/chosen": -341.1844482421875,
|
283 |
+
"logps/rejected": -227.2850341796875,
|
284 |
+
"loss": 0.4261,
|
285 |
"rewards/accuracies": 0.668749988079071,
|
286 |
+
"rewards/chosen": 0.0071119763888418674,
|
287 |
+
"rewards/margins": 0.2952454090118408,
|
288 |
+
"rewards/rejected": -0.288133442401886,
|
289 |
"step": 190
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.56,
|
293 |
+
"learning_rate": 4.778486836848107e-07,
|
294 |
+
"logits/chosen": -0.007979141548275948,
|
295 |
+
"logits/rejected": 0.1243690699338913,
|
296 |
+
"logps/chosen": -329.4273986816406,
|
297 |
+
"logps/rejected": -260.57806396484375,
|
298 |
+
"loss": 0.4096,
|
299 |
+
"rewards/accuracies": 0.5625,
|
300 |
+
"rewards/chosen": -0.19496320188045502,
|
301 |
+
"rewards/margins": 0.16824397444725037,
|
302 |
+
"rewards/rejected": -0.3632071614265442,
|
303 |
"step": 200
|
304 |
},
|
305 |
{
|
306 |
"epoch": 0.59,
|
307 |
+
"learning_rate": 4.2884258086335745e-07,
|
308 |
+
"logits/chosen": 0.09336410462856293,
|
309 |
+
"logits/rejected": 0.19506987929344177,
|
310 |
+
"logps/chosen": -391.4615173339844,
|
311 |
+
"logps/rejected": -279.2521057128906,
|
312 |
+
"loss": 0.4003,
|
313 |
+
"rewards/accuracies": 0.59375,
|
314 |
+
"rewards/chosen": -0.11562051624059677,
|
315 |
+
"rewards/margins": 0.245724156498909,
|
316 |
+
"rewards/rejected": -0.36134466528892517,
|
317 |
"step": 210
|
318 |
},
|
319 |
{
|
320 |
"epoch": 0.62,
|
321 |
+
"learning_rate": 3.8052606259922095e-07,
|
322 |
+
"logits/chosen": -0.16688141226768494,
|
323 |
+
"logits/rejected": -0.08500812947750092,
|
324 |
+
"logps/chosen": -362.3302917480469,
|
325 |
+
"logps/rejected": -247.5942840576172,
|
326 |
+
"loss": 0.4244,
|
327 |
+
"rewards/accuracies": 0.6499999761581421,
|
328 |
+
"rewards/chosen": -0.07475811243057251,
|
329 |
+
"rewards/margins": 0.20620782673358917,
|
330 |
+
"rewards/rejected": -0.28096598386764526,
|
331 |
"step": 220
|
332 |
},
|
333 |
{
|
334 |
"epoch": 0.65,
|
335 |
+
"learning_rate": 3.333673629186279e-07,
|
336 |
+
"logits/chosen": -0.02717510424554348,
|
337 |
+
"logits/rejected": 0.12363864481449127,
|
338 |
+
"logps/chosen": -332.33319091796875,
|
339 |
+
"logps/rejected": -247.22817993164062,
|
340 |
+
"loss": 0.4115,
|
341 |
+
"rewards/accuracies": 0.6625000238418579,
|
342 |
+
"rewards/chosen": -0.08057795464992523,
|
343 |
+
"rewards/margins": 0.2381751984357834,
|
344 |
+
"rewards/rejected": -0.3187531530857086,
|
345 |
"step": 230
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.67,
|
349 |
+
"learning_rate": 2.878234954603167e-07,
|
350 |
+
"logits/chosen": 0.033598482608795166,
|
351 |
+
"logits/rejected": 0.18793973326683044,
|
352 |
+
"logps/chosen": -381.00506591796875,
|
353 |
+
"logps/rejected": -270.8756103515625,
|
354 |
+
"loss": 0.3798,
|
355 |
+
"rewards/accuracies": 0.6625000238418579,
|
356 |
+
"rewards/chosen": -0.12533587217330933,
|
357 |
+
"rewards/margins": 0.24204333126544952,
|
358 |
+
"rewards/rejected": -0.36737921833992004,
|
359 |
"step": 240
|
360 |
},
|
361 |
{
|
362 |
"epoch": 0.7,
|
363 |
+
"learning_rate": 2.443358245691555e-07,
|
364 |
+
"logits/chosen": 0.030673842877149582,
|
365 |
+
"logits/rejected": 0.18992134928703308,
|
366 |
+
"logps/chosen": -383.7073059082031,
|
367 |
+
"logps/rejected": -261.9964294433594,
|
368 |
+
"loss": 0.3877,
|
369 |
"rewards/accuracies": 0.6625000238418579,
|
370 |
+
"rewards/chosen": -0.09187673032283783,
|
371 |
+
"rewards/margins": 0.3298332989215851,
|
372 |
+
"rewards/rejected": -0.4217100143432617,
|
373 |
"step": 250
|
374 |
},
|
375 |
{
|
376 |
"epoch": 0.73,
|
377 |
+
"learning_rate": 2.0332578804662782e-07,
|
378 |
+
"logits/chosen": 0.024305405095219612,
|
379 |
+
"logits/rejected": 0.132650688290596,
|
380 |
+
"logps/chosen": -368.91131591796875,
|
381 |
+
"logps/rejected": -269.9962463378906,
|
382 |
+
"loss": 0.4026,
|
383 |
"rewards/accuracies": 0.625,
|
384 |
+
"rewards/chosen": -0.14426225423812866,
|
385 |
+
"rewards/margins": 0.2727457880973816,
|
386 |
+
"rewards/rejected": -0.41700801253318787,
|
387 |
"step": 260
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.76,
|
391 |
+
"learning_rate": 1.651908130088947e-07,
|
392 |
+
"logits/chosen": 0.13495397567749023,
|
393 |
+
"logits/rejected": 0.21630129218101501,
|
394 |
+
"logps/chosen": -346.6638488769531,
|
395 |
+
"logps/rejected": -274.6488952636719,
|
396 |
+
"loss": 0.3821,
|
397 |
+
"rewards/accuracies": 0.668749988079071,
|
398 |
+
"rewards/chosen": -0.25730255246162415,
|
399 |
+
"rewards/margins": 0.2660498023033142,
|
400 |
+
"rewards/rejected": -0.5233522653579712,
|
401 |
"step": 270
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.79,
|
405 |
+
"learning_rate": 1.3030046443173442e-07,
|
406 |
+
"logits/chosen": 0.12753400206565857,
|
407 |
+
"logits/rejected": 0.26089444756507874,
|
408 |
+
"logps/chosen": -396.9707336425781,
|
409 |
+
"logps/rejected": -273.0684814453125,
|
410 |
+
"loss": 0.4015,
|
411 |
+
"rewards/accuracies": 0.625,
|
412 |
+
"rewards/chosen": -0.19528909027576447,
|
413 |
+
"rewards/margins": 0.3000025451183319,
|
414 |
+
"rewards/rejected": -0.49529165029525757,
|
415 |
"step": 280
|
416 |
},
|
417 |
{
|
418 |
"epoch": 0.81,
|
419 |
+
"learning_rate": 9.899286370670574e-08,
|
420 |
+
"logits/chosen": 0.18344645202159882,
|
421 |
+
"logits/rejected": 0.3353565037250519,
|
422 |
+
"logps/chosen": -358.2286376953125,
|
423 |
+
"logps/rejected": -288.5234680175781,
|
424 |
+
"loss": 0.4025,
|
425 |
+
"rewards/accuracies": 0.5687500238418579,
|
426 |
+
"rewards/chosen": -0.28220534324645996,
|
427 |
+
"rewards/margins": 0.19654087722301483,
|
428 |
+
"rewards/rejected": -0.478746235370636,
|
429 |
"step": 290
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.84,
|
433 |
+
"learning_rate": 7.157141191620548e-08,
|
434 |
+
"logits/chosen": 0.0641961470246315,
|
435 |
+
"logits/rejected": 0.2366667091846466,
|
436 |
+
"logps/chosen": -380.06103515625,
|
437 |
+
"logps/rejected": -267.75213623046875,
|
438 |
+
"loss": 0.3997,
|
439 |
+
"rewards/accuracies": 0.625,
|
440 |
+
"rewards/chosen": -0.13748347759246826,
|
441 |
+
"rewards/margins": 0.3018878996372223,
|
442 |
+
"rewards/rejected": -0.43937140703201294,
|
443 |
"step": 300
|
444 |
},
|
445 |
{
|
446 |
"epoch": 0.87,
|
447 |
+
"learning_rate": 4.830184958207006e-08,
|
448 |
+
"logits/chosen": 0.03403336927294731,
|
449 |
+
"logits/rejected": 0.19396355748176575,
|
450 |
+
"logps/chosen": -347.7532653808594,
|
451 |
+
"logps/rejected": -284.3299865722656,
|
452 |
+
"loss": 0.4026,
|
453 |
+
"rewards/accuracies": 0.5874999761581421,
|
454 |
+
"rewards/chosen": -0.16916589438915253,
|
455 |
+
"rewards/margins": 0.25709637999534607,
|
456 |
+
"rewards/rejected": -0.4262623190879822,
|
457 |
"step": 310
|
458 |
},
|
459 |
{
|
460 |
"epoch": 0.9,
|
461 |
+
"learning_rate": 2.940968138161731e-08,
|
462 |
+
"logits/chosen": 0.11429999023675919,
|
463 |
+
"logits/rejected": 0.17834721505641937,
|
464 |
+
"logps/chosen": -330.48284912109375,
|
465 |
+
"logps/rejected": -274.64727783203125,
|
466 |
+
"loss": 0.3982,
|
467 |
+
"rewards/accuracies": 0.612500011920929,
|
468 |
+
"rewards/chosen": -0.1756475865840912,
|
469 |
+
"rewards/margins": 0.1860581338405609,
|
470 |
+
"rewards/rejected": -0.3617057204246521,
|
471 |
"step": 320
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.93,
|
475 |
+
"learning_rate": 1.507799078812799e-08,
|
476 |
+
"logits/chosen": -0.007492154836654663,
|
477 |
+
"logits/rejected": 0.10714348405599594,
|
478 |
+
"logps/chosen": -425.7674865722656,
|
479 |
+
"logps/rejected": -314.00860595703125,
|
480 |
+
"loss": 0.3971,
|
481 |
+
"rewards/accuracies": 0.6187499761581421,
|
482 |
+
"rewards/chosen": -0.17962414026260376,
|
483 |
+
"rewards/margins": 0.292041152715683,
|
484 |
+
"rewards/rejected": -0.47166532278060913,
|
485 |
"step": 330
|
486 |
},
|
487 |
{
|
488 |
"epoch": 0.96,
|
489 |
+
"learning_rate": 5.445665814031941e-09,
|
490 |
+
"logits/chosen": 0.06636445224285126,
|
491 |
+
"logits/rejected": 0.1753680408000946,
|
492 |
+
"logps/chosen": -369.9612731933594,
|
493 |
+
"logps/rejected": -278.1523132324219,
|
494 |
+
"loss": 0.4052,
|
495 |
+
"rewards/accuracies": 0.6499999761581421,
|
496 |
+
"rewards/chosen": -0.18568792939186096,
|
497 |
+
"rewards/margins": 0.26998209953308105,
|
498 |
+
"rewards/rejected": -0.4556700587272644,
|
499 |
"step": 340
|
500 |
},
|
501 |
{
|
502 |
"epoch": 0.98,
|
503 |
+
"learning_rate": 6.060530510659245e-10,
|
504 |
+
"logits/chosen": 0.03166942670941353,
|
505 |
+
"logits/rejected": 0.10389814525842667,
|
506 |
+
"logps/chosen": -357.81988525390625,
|
507 |
+
"logps/rejected": -275.1876525878906,
|
508 |
+
"loss": 0.4038,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
509 |
"rewards/accuracies": 0.6625000238418579,
|
510 |
+
"rewards/chosen": -0.20625650882720947,
|
511 |
+
"rewards/margins": 0.26138800382614136,
|
512 |
+
"rewards/rejected": -0.46764451265335083,
|
513 |
+
"step": 350
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 1.0,
|
517 |
+
"step": 355,
|
518 |
"total_flos": 0.0,
|
519 |
+
"train_loss": 0.4252443082735572,
|
520 |
+
"train_runtime": 5295.2592,
|
521 |
+
"train_samples_per_second": 8.602,
|
522 |
+
"train_steps_per_second": 0.067
|
523 |
}
|
524 |
],
|
525 |
"logging_steps": 10,
|
526 |
+
"max_steps": 355,
|
527 |
+
"num_train_epochs": 1,
|
528 |
"save_steps": 10000,
|
529 |
"total_flos": 0.0,
|
530 |
"trial_name": null,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6008
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02106212d8646cd330ea93c455fab2db74b591fce43575560426efd71655c54f
|
3 |
size 6008
|