Model save
Browse files- README.md +11 -11
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +486 -486
README.md
CHANGED
@@ -16,15 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model was trained from scratch on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
-
- Rewards/chosen: -
|
21 |
-
- Rewards/rejected: -
|
22 |
-
- Rewards/accuracies: 0.
|
23 |
-
- Rewards/margins:
|
24 |
-
- Logps/rejected: -
|
25 |
-
- Logps/chosen: -
|
26 |
-
- Logits/rejected: -
|
27 |
-
- Logits/chosen: -
|
28 |
|
29 |
## Model description
|
30 |
|
@@ -61,12 +61,12 @@ The following hyperparameters were used during training:
|
|
61 |
|
62 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
63 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
64 |
-
| 0.
|
65 |
|
66 |
|
67 |
### Framework versions
|
68 |
|
69 |
- Transformers 4.45.2
|
70 |
- Pytorch 2.5.1+rocm6.2
|
71 |
-
- Datasets 3.
|
72 |
- Tokenizers 0.20.3
|
|
|
16 |
|
17 |
This model was trained from scratch on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.5132
|
20 |
+
- Rewards/chosen: -0.8911
|
21 |
+
- Rewards/rejected: -1.7562
|
22 |
+
- Rewards/accuracies: 0.7812
|
23 |
+
- Rewards/margins: 0.8651
|
24 |
+
- Logps/rejected: -432.3867
|
25 |
+
- Logps/chosen: -346.3244
|
26 |
+
- Logits/rejected: -2.4131
|
27 |
+
- Logits/chosen: -2.4336
|
28 |
|
29 |
## Model description
|
30 |
|
|
|
61 |
|
62 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
63 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
64 |
+
| 0.4975 | 0.9984 | 477 | 0.5132 | -0.8911 | -1.7562 | 0.7812 | 0.8651 | -432.3867 | -346.3244 | -2.4131 | -2.4336 |
|
65 |
|
66 |
|
67 |
### Framework versions
|
68 |
|
69 |
- Transformers 4.45.2
|
70 |
- Pytorch 2.5.1+rocm6.2
|
71 |
+
- Datasets 3.2.0
|
72 |
- Tokenizers 0.20.3
|
all_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 0.9984301412872841,
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 61134,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 0.9984301412872841,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.5516081291174738,
|
5 |
+
"train_runtime": 26908.0955,
|
6 |
"train_samples": 61134,
|
7 |
+
"train_samples_per_second": 2.272,
|
8 |
+
"train_steps_per_second": 0.018
|
9 |
}
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 0.9984301412872841,
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 61134,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 0.9984301412872841,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.5516081291174738,
|
5 |
+
"train_runtime": 26908.0955,
|
6 |
"train_samples": 61134,
|
7 |
+
"train_samples_per_second": 2.272,
|
8 |
+
"train_steps_per_second": 0.018
|
9 |
}
|
trainer_state.json
CHANGED
@@ -10,12 +10,12 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0020931449502878076,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 1.0416666666666666e-08,
|
15 |
-
"logits/chosen": -2.
|
16 |
-
"logits/rejected": -2.
|
17 |
-
"logps/chosen": -
|
18 |
-
"logps/rejected": -
|
19 |
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
@@ -25,733 +25,733 @@
|
|
25 |
},
|
26 |
{
|
27 |
"epoch": 0.020931449502878074,
|
28 |
-
"grad_norm":
|
29 |
"learning_rate": 1.0416666666666667e-07,
|
30 |
-
"logits/chosen": -2.
|
31 |
-
"logits/rejected": -2.
|
32 |
-
"logps/chosen": -
|
33 |
-
"logps/rejected": -
|
34 |
"loss": 0.6932,
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen": 0.
|
37 |
-
"rewards/margins": 0.
|
38 |
-
"rewards/rejected":
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04186289900575615,
|
43 |
-
"grad_norm":
|
44 |
"learning_rate": 2.0833333333333333e-07,
|
45 |
-
"logits/chosen": -2.
|
46 |
-
"logits/rejected": -2.
|
47 |
-
"logps/chosen": -
|
48 |
-
"logps/rejected": -
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen": 0.
|
52 |
-
"rewards/margins": 0.
|
53 |
-
"rewards/rejected": 0.
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
"epoch": 0.06279434850863422,
|
58 |
-
"grad_norm":
|
59 |
"learning_rate": 3.1249999999999997e-07,
|
60 |
-
"logits/chosen": -2.
|
61 |
-
"logits/rejected": -2.
|
62 |
-
"logps/chosen": -
|
63 |
-
"logps/rejected": -
|
64 |
-
"loss": 0.
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen": 0.
|
67 |
-
"rewards/margins": 0.
|
68 |
-
"rewards/rejected": 0.
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.0837257980115123,
|
73 |
-
"grad_norm":
|
74 |
"learning_rate": 4.1666666666666667e-07,
|
75 |
-
"logits/chosen": -2.
|
76 |
-
"logits/rejected": -2.
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen": 0.
|
82 |
-
"rewards/margins": 0.
|
83 |
-
"rewards/rejected": -0.
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
"epoch": 0.10465724751439037,
|
88 |
-
"grad_norm":
|
89 |
"learning_rate": 4.999731868769026e-07,
|
90 |
-
"logits/chosen": -2.
|
91 |
-
"logits/rejected": -2.
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss": 0.
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen": -0.
|
97 |
-
"rewards/margins": 0.
|
98 |
-
"rewards/rejected": -0.
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.12558869701726844,
|
103 |
-
"grad_norm":
|
104 |
"learning_rate": 4.990353313429303e-07,
|
105 |
-
"logits/chosen": -2.
|
106 |
-
"logits/rejected": -2.
|
107 |
-
"logps/chosen": -
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
"rewards/accuracies": 0.762499988079071,
|
111 |
-
"rewards/chosen": -0.
|
112 |
-
"rewards/margins": 0.
|
113 |
-
"rewards/rejected": -0.
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.14652014652014653,
|
118 |
-
"grad_norm":
|
119 |
"learning_rate": 4.967625656594781e-07,
|
120 |
-
"logits/chosen": -2.
|
121 |
-
"logits/rejected": -2.
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss": 0.
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen": -0.
|
127 |
-
"rewards/margins": 0.
|
128 |
-
"rewards/rejected": -0.
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.1674515960230246,
|
133 |
-
"grad_norm":
|
134 |
"learning_rate": 4.93167072587771e-07,
|
135 |
-
"logits/chosen": -2.
|
136 |
-
"logits/rejected": -2.
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss": 0.
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen": -0.
|
142 |
-
"rewards/margins": 0.
|
143 |
-
"rewards/rejected": -0.
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
"epoch": 0.18838304552590268,
|
148 |
-
"grad_norm":
|
149 |
"learning_rate": 4.882681251368548e-07,
|
150 |
-
"logits/chosen": -2.
|
151 |
-
"logits/rejected": -2.
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen": -0.
|
157 |
-
"rewards/margins": 0.
|
158 |
-
"rewards/rejected": -1.
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.20931449502878074,
|
163 |
-
"grad_norm":
|
164 |
"learning_rate": 4.820919832540181e-07,
|
165 |
-
"logits/chosen": -2.
|
166 |
-
"logits/rejected": -2.
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss": 0.
|
170 |
-
"rewards/accuracies": 0.
|
171 |
-
"rewards/chosen": -0.
|
172 |
-
"rewards/margins": 0.
|
173 |
-
"rewards/rejected": -1.
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.2302459445316588,
|
178 |
-
"grad_norm": 26.
|
179 |
"learning_rate": 4.7467175306295647e-07,
|
180 |
-
"logits/chosen": -2.
|
181 |
-
"logits/rejected": -2.
|
182 |
-
"logps/chosen": -
|
183 |
-
"logps/rejected": -
|
184 |
-
"loss": 0.
|
185 |
-
"rewards/accuracies": 0.
|
186 |
-
"rewards/chosen": -0.
|
187 |
-
"rewards/margins": 0.
|
188 |
-
"rewards/rejected": -1.
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.25117739403453687,
|
193 |
-
"grad_norm":
|
194 |
"learning_rate": 4.6604720940421207e-07,
|
195 |
-
"logits/chosen": -2.
|
196 |
-
"logits/rejected": -2.
|
197 |
-
"logps/chosen": -
|
198 |
-
"logps/rejected": -
|
199 |
-
"loss": 0.
|
200 |
-
"rewards/accuracies": 0.
|
201 |
-
"rewards/chosen": -0.
|
202 |
-
"rewards/margins": 0.
|
203 |
-
"rewards/rejected": -1.
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
"epoch": 0.272108843537415,
|
208 |
-
"grad_norm":
|
209 |
"learning_rate": 4.5626458262912735e-07,
|
210 |
-
"logits/chosen": -2.
|
211 |
-
"logits/rejected": -2.
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen": -0.
|
217 |
-
"rewards/margins": 0.
|
218 |
-
"rewards/rejected": -
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.29304029304029305,
|
223 |
-
"grad_norm":
|
224 |
"learning_rate": 4.453763107901675e-07,
|
225 |
-
"logits/chosen": -2.
|
226 |
-
"logits/rejected": -2.
|
227 |
-
"logps/chosen": -
|
228 |
-
"logps/rejected": -
|
229 |
-
"loss": 0.
|
230 |
-
"rewards/accuracies": 0.
|
231 |
-
"rewards/chosen": -0.
|
232 |
-
"rewards/margins": 0.
|
233 |
-
"rewards/rejected": -1.
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
"epoch": 0.3139717425431711,
|
238 |
-
"grad_norm":
|
239 |
"learning_rate": 4.3344075855595097e-07,
|
240 |
-
"logits/chosen": -2.
|
241 |
-
"logits/rejected": -2.
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": -0.
|
247 |
-
"rewards/margins": 0.
|
248 |
-
"rewards/rejected": -1.
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.3349031920460492,
|
253 |
-
"grad_norm":
|
254 |
"learning_rate": 4.2052190435769554e-07,
|
255 |
-
"logits/chosen": -2.
|
256 |
-
"logits/rejected": -2.
|
257 |
-
"logps/chosen": -
|
258 |
-
"logps/rejected": -
|
259 |
-
"loss": 0.
|
260 |
-
"rewards/accuracies": 0.
|
261 |
-
"rewards/chosen": -0.
|
262 |
-
"rewards/margins": 0.
|
263 |
-
"rewards/rejected": -1.
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
"epoch": 0.35583464154892724,
|
268 |
-
"grad_norm":
|
269 |
"learning_rate": 4.0668899744407567e-07,
|
270 |
-
"logits/chosen": -2.
|
271 |
-
"logits/rejected": -2.
|
272 |
-
"logps/chosen": -
|
273 |
-
"logps/rejected": -
|
274 |
-
"loss": 0.
|
275 |
-
"rewards/accuracies": 0.
|
276 |
-
"rewards/chosen": -0.
|
277 |
-
"rewards/margins": 0.
|
278 |
-
"rewards/rejected": -1.
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.37676609105180536,
|
283 |
-
"grad_norm":
|
284 |
"learning_rate": 3.920161866827889e-07,
|
285 |
-
"logits/chosen": -2.
|
286 |
-
"logits/rejected": -2.
|
287 |
-
"logps/chosen": -
|
288 |
-
"logps/rejected": -
|
289 |
-
"loss": 0.
|
290 |
-
"rewards/accuracies": 0.
|
291 |
-
"rewards/chosen": -
|
292 |
-
"rewards/margins": 0.
|
293 |
-
"rewards/rejected": -1.
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
"epoch": 0.3976975405546834,
|
298 |
-
"grad_norm":
|
299 |
"learning_rate": 3.765821230985757e-07,
|
300 |
-
"logits/chosen": -2.
|
301 |
-
"logits/rejected": -2.
|
302 |
-
"logps/chosen": -
|
303 |
-
"logps/rejected": -
|
304 |
-
"loss": 0.
|
305 |
"rewards/accuracies": 0.6812499761581421,
|
306 |
-
"rewards/chosen": -0.
|
307 |
-
"rewards/margins": 0.
|
308 |
-
"rewards/rejected": -1.
|
309 |
"step": 190
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.4186289900575615,
|
313 |
-
"grad_norm":
|
314 |
"learning_rate": 3.604695382782159e-07,
|
315 |
-
"logits/chosen": -2.
|
316 |
-
"logits/rejected": -2.
|
317 |
-
"logps/chosen": -
|
318 |
-
"logps/rejected": -
|
319 |
-
"loss": 0.
|
320 |
-
"rewards/accuracies": 0.
|
321 |
-
"rewards/chosen": -0.
|
322 |
-
"rewards/margins": 0.
|
323 |
-
"rewards/rejected": -1.
|
324 |
"step": 200
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.43956043956043955,
|
328 |
-
"grad_norm":
|
329 |
"learning_rate": 3.4376480090239047e-07,
|
330 |
-
"logits/chosen": -2.
|
331 |
-
"logits/rejected": -
|
332 |
-
"logps/chosen": -
|
333 |
-
"logps/rejected": -
|
334 |
-
"loss": 0.
|
335 |
-
"rewards/accuracies": 0.
|
336 |
-
"rewards/chosen": -0.
|
337 |
-
"rewards/margins": 0.
|
338 |
-
"rewards/rejected": -1.
|
339 |
"step": 210
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.4604918890633176,
|
343 |
-
"grad_norm":
|
344 |
"learning_rate": 3.265574537815398e-07,
|
345 |
-
"logits/chosen": -
|
346 |
-
"logits/rejected": -
|
347 |
-
"logps/chosen": -
|
348 |
-
"logps/rejected": -
|
349 |
-
"loss": 0.
|
350 |
-
"rewards/accuracies": 0.
|
351 |
-
"rewards/chosen": -0.
|
352 |
-
"rewards/margins": 0.
|
353 |
-
"rewards/rejected": -1.
|
354 |
"step": 220
|
355 |
},
|
356 |
{
|
357 |
"epoch": 0.48142333856619574,
|
358 |
-
"grad_norm":
|
359 |
"learning_rate": 3.0893973387735683e-07,
|
360 |
-
"logits/chosen": -
|
361 |
-
"logits/rejected": -
|
362 |
-
"logps/chosen": -
|
363 |
-
"logps/rejected": -
|
364 |
-
"loss": 0.
|
365 |
-
"rewards/accuracies": 0.
|
366 |
-
"rewards/chosen": -
|
367 |
-
"rewards/margins": 0.
|
368 |
-
"rewards/rejected": -
|
369 |
"step": 230
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.5023547880690737,
|
373 |
-
"grad_norm":
|
374 |
"learning_rate": 2.910060778827554e-07,
|
375 |
-
"logits/chosen": -
|
376 |
-
"logits/rejected": -
|
377 |
-
"logps/chosen": -
|
378 |
-
"logps/rejected": -
|
379 |
-
"loss": 0.
|
380 |
-
"rewards/accuracies": 0.
|
381 |
-
"rewards/chosen": -
|
382 |
-
"rewards/margins": 0.
|
383 |
-
"rewards/rejected": -1.
|
384 |
"step": 240
|
385 |
},
|
386 |
{
|
387 |
"epoch": 0.5232862375719518,
|
388 |
-
"grad_norm":
|
389 |
"learning_rate": 2.7285261601056697e-07,
|
390 |
-
"logits/chosen": -
|
391 |
-
"logits/rejected": -
|
392 |
-
"logps/chosen": -
|
393 |
-
"logps/rejected": -
|
394 |
-
"loss": 0.
|
395 |
-
"rewards/accuracies": 0.
|
396 |
-
"rewards/chosen": -
|
397 |
-
"rewards/margins": 0.
|
398 |
-
"rewards/rejected": -
|
399 |
"step": 250
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.54421768707483,
|
403 |
-
"grad_norm":
|
404 |
"learning_rate": 2.5457665670441937e-07,
|
405 |
-
"logits/chosen": -2.
|
406 |
-
"logits/rejected": -2.
|
407 |
-
"logps/chosen": -
|
408 |
-
"logps/rejected": -
|
409 |
-
"loss": 0.
|
410 |
-
"rewards/accuracies": 0.
|
411 |
-
"rewards/chosen": -0.
|
412 |
-
"rewards/margins": 0.
|
413 |
-
"rewards/rejected": -1.
|
414 |
"step": 260
|
415 |
},
|
416 |
{
|
417 |
"epoch": 0.565149136577708,
|
418 |
-
"grad_norm":
|
419 |
"learning_rate": 2.3627616503391812e-07,
|
420 |
-
"logits/chosen": -2.
|
421 |
-
"logits/rejected": -
|
422 |
-
"logps/chosen": -
|
423 |
-
"logps/rejected": -
|
424 |
-
"loss": 0.
|
425 |
-
"rewards/accuracies": 0.
|
426 |
-
"rewards/chosen": -0.
|
427 |
-
"rewards/margins": 0.
|
428 |
-
"rewards/rejected": -1.
|
429 |
"step": 270
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.5860805860805861,
|
433 |
-
"grad_norm":
|
434 |
"learning_rate": 2.1804923757009882e-07,
|
435 |
-
"logits/chosen": -
|
436 |
-
"logits/rejected": -
|
437 |
-
"logps/chosen": -
|
438 |
-
"logps/rejected": -
|
439 |
-
"loss": 0.
|
440 |
-
"rewards/accuracies": 0.
|
441 |
-
"rewards/chosen": -
|
442 |
-
"rewards/margins": 0.
|
443 |
-
"rewards/rejected": -1.
|
444 |
"step": 280
|
445 |
},
|
446 |
{
|
447 |
"epoch": 0.6070120355834642,
|
448 |
-
"grad_norm":
|
449 |
"learning_rate": 1.9999357655598891e-07,
|
450 |
-
"logits/chosen": -
|
451 |
-
"logits/rejected": -
|
452 |
-
"logps/chosen": -
|
453 |
-
"logps/rejected": -
|
454 |
-
"loss": 0.
|
455 |
-
"rewards/accuracies": 0.
|
456 |
-
"rewards/chosen": -
|
457 |
-
"rewards/margins": 0.
|
458 |
-
"rewards/rejected": -1.
|
459 |
"step": 290
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.6279434850863422,
|
463 |
-
"grad_norm":
|
464 |
"learning_rate": 1.8220596619089573e-07,
|
465 |
-
"logits/chosen": -
|
466 |
-
"logits/rejected": -
|
467 |
-
"logps/chosen": -
|
468 |
-
"logps/rejected": -
|
469 |
-
"loss": 0.
|
470 |
-
"rewards/accuracies": 0.
|
471 |
-
"rewards/chosen": -
|
472 |
-
"rewards/margins": 0.
|
473 |
-
"rewards/rejected": -1.
|
474 |
"step": 300
|
475 |
},
|
476 |
{
|
477 |
"epoch": 0.6488749345892203,
|
478 |
-
"grad_norm":
|
479 |
"learning_rate": 1.647817538357072e-07,
|
480 |
-
"logits/chosen": -
|
481 |
-
"logits/rejected": -
|
482 |
-
"logps/chosen": -
|
483 |
-
"logps/rejected": -
|
484 |
-
"loss": 0.
|
485 |
-
"rewards/accuracies": 0.
|
486 |
-
"rewards/chosen": -
|
487 |
-
"rewards/margins":
|
488 |
-
"rewards/rejected": -
|
489 |
"step": 310
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.6698063840920984,
|
493 |
-
"grad_norm":
|
494 |
"learning_rate": 1.478143389201113e-07,
|
495 |
-
"logits/chosen": -
|
496 |
-
"logits/rejected": -
|
497 |
-
"logps/chosen": -
|
498 |
-
"logps/rejected": -
|
499 |
-
"loss": 0.
|
500 |
-
"rewards/accuracies": 0.
|
501 |
-
"rewards/chosen": -
|
502 |
-
"rewards/margins": 0.
|
503 |
-
"rewards/rejected": -
|
504 |
"step": 320
|
505 |
},
|
506 |
{
|
507 |
"epoch": 0.6907378335949764,
|
508 |
-
"grad_norm":
|
509 |
"learning_rate": 1.3139467229135998e-07,
|
510 |
-
"logits/chosen": -
|
511 |
-
"logits/rejected": -
|
512 |
-
"logps/chosen": -
|
513 |
-
"logps/rejected": -
|
514 |
-
"loss": 0.
|
515 |
-
"rewards/accuracies": 0.
|
516 |
-
"rewards/chosen": -
|
517 |
-
"rewards/margins": 0.
|
518 |
-
"rewards/rejected": -1.
|
519 |
"step": 330
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.7116692830978545,
|
523 |
-
"grad_norm":
|
524 |
"learning_rate": 1.1561076868822755e-07,
|
525 |
-
"logits/chosen": -
|
526 |
-
"logits/rejected": -
|
527 |
-
"logps/chosen": -
|
528 |
-
"logps/rejected": -
|
529 |
-
"loss": 0.
|
530 |
-
"rewards/accuracies": 0.
|
531 |
-
"rewards/chosen": -
|
532 |
-
"rewards/margins": 0.
|
533 |
-
"rewards/rejected": -
|
534 |
"step": 340
|
535 |
},
|
536 |
{
|
537 |
"epoch": 0.7326007326007326,
|
538 |
-
"grad_norm":
|
539 |
"learning_rate": 1.0054723495346482e-07,
|
540 |
-
"logits/chosen": -
|
541 |
-
"logits/rejected": -
|
542 |
-
"logps/chosen": -
|
543 |
-
"logps/rejected": -
|
544 |
-
"loss": 0.
|
545 |
-
"rewards/accuracies": 0.
|
546 |
-
"rewards/chosen": -
|
547 |
-
"rewards/margins": 0.
|
548 |
-
"rewards/rejected": -
|
549 |
"step": 350
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.7535321821036107,
|
553 |
-
"grad_norm":
|
554 |
"learning_rate": 8.628481651367875e-08,
|
555 |
-
"logits/chosen": -
|
556 |
-
"logits/rejected": -
|
557 |
-
"logps/chosen": -
|
558 |
-
"logps/rejected": -
|
559 |
-
"loss": 0.
|
560 |
-
"rewards/accuracies": 0.
|
561 |
-
"rewards/chosen": -1.
|
562 |
-
"rewards/margins": 0.
|
563 |
-
"rewards/rejected": -
|
564 |
"step": 360
|
565 |
},
|
566 |
{
|
567 |
"epoch": 0.7744636316064888,
|
568 |
-
"grad_norm":
|
569 |
"learning_rate": 7.289996455765748e-08,
|
570 |
-
"logits/chosen": -
|
571 |
-
"logits/rejected": -
|
572 |
-
"logps/chosen": -
|
573 |
-
"logps/rejected": -
|
574 |
-
"loss": 0.
|
575 |
-
"rewards/accuracies": 0.
|
576 |
-
"rewards/chosen": -1.
|
577 |
-
"rewards/margins": 0.
|
578 |
-
"rewards/rejected": -
|
579 |
"step": 370
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.7953950811093669,
|
583 |
-
"grad_norm":
|
584 |
"learning_rate": 6.046442623320145e-08,
|
585 |
-
"logits/chosen": -
|
586 |
-
"logits/rejected": -
|
587 |
-
"logps/chosen": -
|
588 |
-
"logps/rejected": -
|
589 |
-
"loss": 0.
|
590 |
-
"rewards/accuracies": 0.
|
591 |
-
"rewards/chosen": -1.
|
592 |
-
"rewards/margins":
|
593 |
-
"rewards/rejected": -2.
|
594 |
"step": 380
|
595 |
},
|
596 |
{
|
597 |
"epoch": 0.8163265306122449,
|
598 |
-
"grad_norm":
|
599 |
"learning_rate": 4.904486005914027e-08,
|
600 |
-
"logits/chosen": -
|
601 |
-
"logits/rejected": -
|
602 |
-
"logps/chosen": -
|
603 |
-
"logps/rejected": -
|
604 |
-
"loss": 0.
|
605 |
-
"rewards/accuracies": 0.
|
606 |
-
"rewards/chosen": -1.
|
607 |
-
"rewards/margins": 0.
|
608 |
-
"rewards/rejected": -
|
609 |
"step": 390
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.837257980115123,
|
613 |
-
"grad_norm":
|
614 |
"learning_rate": 3.8702478614051345e-08,
|
615 |
-
"logits/chosen": -
|
616 |
-
"logits/rejected": -
|
617 |
-
"logps/chosen": -
|
618 |
-
"logps/rejected": -
|
619 |
-
"loss": 0.
|
620 |
"rewards/accuracies": 0.75,
|
621 |
-
"rewards/chosen": -1.
|
622 |
-
"rewards/margins": 0.
|
623 |
-
"rewards/rejected": -
|
624 |
"step": 400
|
625 |
},
|
626 |
{
|
627 |
"epoch": 0.858189429618001,
|
628 |
-
"grad_norm":
|
629 |
"learning_rate": 2.9492720416985e-08,
|
630 |
-
"logits/chosen": -
|
631 |
-
"logits/rejected": -
|
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": 410
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.8791208791208791,
|
643 |
-
"grad_norm":
|
644 |
"learning_rate": 2.1464952759020856e-08,
|
645 |
-
"logits/chosen": -
|
646 |
-
"logits/rejected": -
|
647 |
-
"logps/chosen": -
|
648 |
-
"logps/rejected": -
|
649 |
-
"loss": 0.
|
650 |
"rewards/accuracies": 0.737500011920929,
|
651 |
-
"rewards/chosen": -1.
|
652 |
-
"rewards/margins": 0.
|
653 |
-
"rewards/rejected": -
|
654 |
"step": 420
|
655 |
},
|
656 |
{
|
657 |
"epoch": 0.9000523286237572,
|
658 |
-
"grad_norm":
|
659 |
"learning_rate": 1.4662207078575684e-08,
|
660 |
-
"logits/chosen": -
|
661 |
-
"logits/rejected": -
|
662 |
-
"logps/chosen": -
|
663 |
-
"logps/rejected": -
|
664 |
-
"loss": 0.
|
665 |
-
"rewards/accuracies": 0.
|
666 |
-
"rewards/chosen": -
|
667 |
-
"rewards/margins": 0.
|
668 |
-
"rewards/rejected": -
|
669 |
"step": 430
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.9209837781266352,
|
673 |
-
"grad_norm":
|
674 |
"learning_rate": 9.12094829893642e-09,
|
675 |
-
"logits/chosen": -
|
676 |
-
"logits/rejected": -
|
677 |
-
"logps/chosen": -
|
678 |
-
"logps/rejected": -
|
679 |
-
"loss": 0.
|
680 |
-
"rewards/accuracies": 0.
|
681 |
-
"rewards/chosen": -
|
682 |
-
"rewards/margins": 0.
|
683 |
-
"rewards/rejected": -
|
684 |
"step": 440
|
685 |
},
|
686 |
{
|
687 |
"epoch": 0.9419152276295133,
|
688 |
-
"grad_norm":
|
689 |
"learning_rate": 4.8708793644441086e-09,
|
690 |
-
"logits/chosen": -
|
691 |
-
"logits/rejected": -
|
692 |
-
"logps/chosen": -
|
693 |
-
"logps/rejected": -
|
694 |
-
"loss": 0.
|
695 |
-
"rewards/accuracies": 0.
|
696 |
-
"rewards/chosen": -
|
697 |
-
"rewards/margins":
|
698 |
-
"rewards/rejected": -
|
699 |
"step": 450
|
700 |
},
|
701 |
{
|
702 |
"epoch": 0.9628466771323915,
|
703 |
-
"grad_norm":
|
704 |
"learning_rate": 1.9347820230782295e-09,
|
705 |
-
"logits/chosen": -
|
706 |
-
"logits/rejected": -
|
707 |
-
"logps/chosen": -
|
708 |
-
"logps/rejected": -
|
709 |
-
"loss": 0.
|
710 |
-
"rewards/accuracies": 0.
|
711 |
-
"rewards/chosen": -
|
712 |
-
"rewards/margins": 0.
|
713 |
-
"rewards/rejected": -
|
714 |
"step": 460
|
715 |
},
|
716 |
{
|
717 |
"epoch": 0.9837781266352695,
|
718 |
-
"grad_norm":
|
719 |
"learning_rate": 3.2839470889836627e-10,
|
720 |
-
"logits/chosen": -
|
721 |
-
"logits/rejected": -
|
722 |
-
"logps/chosen": -
|
723 |
-
"logps/rejected": -
|
724 |
-
"loss": 0.
|
725 |
-
"rewards/accuracies": 0.
|
726 |
-
"rewards/chosen": -
|
727 |
-
"rewards/margins": 0.
|
728 |
-
"rewards/rejected": -
|
729 |
"step": 470
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.9984301412872841,
|
733 |
-
"eval_logits/chosen": -
|
734 |
-
"eval_logits/rejected": -
|
735 |
-
"eval_logps/chosen": -
|
736 |
-
"eval_logps/rejected": -
|
737 |
-
"eval_loss": 0.
|
738 |
-
"eval_rewards/accuracies": 0.
|
739 |
-
"eval_rewards/chosen": -
|
740 |
-
"eval_rewards/margins":
|
741 |
-
"eval_rewards/rejected": -
|
742 |
-
"eval_runtime": 168.
|
743 |
-
"eval_samples_per_second": 11.
|
744 |
-
"eval_steps_per_second": 0.
|
745 |
"step": 477
|
746 |
},
|
747 |
{
|
748 |
"epoch": 0.9984301412872841,
|
749 |
"step": 477,
|
750 |
"total_flos": 0.0,
|
751 |
-
"train_loss": 0.
|
752 |
-
"train_runtime":
|
753 |
-
"train_samples_per_second":
|
754 |
-
"train_steps_per_second": 0.
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0020931449502878076,
|
13 |
+
"grad_norm": 8.706076728432208,
|
14 |
"learning_rate": 1.0416666666666666e-08,
|
15 |
+
"logits/chosen": -2.9199132919311523,
|
16 |
+
"logits/rejected": -2.8931403160095215,
|
17 |
+
"logps/chosen": -309.4719543457031,
|
18 |
+
"logps/rejected": -355.0931396484375,
|
19 |
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
|
|
25 |
},
|
26 |
{
|
27 |
"epoch": 0.020931449502878074,
|
28 |
+
"grad_norm": 8.811125958442949,
|
29 |
"learning_rate": 1.0416666666666667e-07,
|
30 |
+
"logits/chosen": -2.7454538345336914,
|
31 |
+
"logits/rejected": -2.7216293811798096,
|
32 |
+
"logps/chosen": -295.4472351074219,
|
33 |
+
"logps/rejected": -266.0006103515625,
|
34 |
"loss": 0.6932,
|
35 |
+
"rewards/accuracies": 0.4861111044883728,
|
36 |
+
"rewards/chosen": 0.0005748738767579198,
|
37 |
+
"rewards/margins": 0.0004018136824015528,
|
38 |
+
"rewards/rejected": 0.0001730601507006213,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04186289900575615,
|
43 |
+
"grad_norm": 8.356417875630138,
|
44 |
"learning_rate": 2.0833333333333333e-07,
|
45 |
+
"logits/chosen": -2.8119170665740967,
|
46 |
+
"logits/rejected": -2.7720179557800293,
|
47 |
+
"logps/chosen": -300.11346435546875,
|
48 |
+
"logps/rejected": -273.6678161621094,
|
49 |
+
"loss": 0.6925,
|
50 |
+
"rewards/accuracies": 0.5625,
|
51 |
+
"rewards/chosen": 0.002672016154974699,
|
52 |
+
"rewards/margins": 0.0024929677601903677,
|
53 |
+
"rewards/rejected": 0.00017904839478433132,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
"epoch": 0.06279434850863422,
|
58 |
+
"grad_norm": 8.3364028133132,
|
59 |
"learning_rate": 3.1249999999999997e-07,
|
60 |
+
"logits/chosen": -2.7947373390197754,
|
61 |
+
"logits/rejected": -2.7448770999908447,
|
62 |
+
"logps/chosen": -283.2146301269531,
|
63 |
+
"logps/rejected": -239.5857391357422,
|
64 |
+
"loss": 0.6888,
|
65 |
+
"rewards/accuracies": 0.675000011920929,
|
66 |
+
"rewards/chosen": 0.014546801336109638,
|
67 |
+
"rewards/margins": 0.008760047145187855,
|
68 |
+
"rewards/rejected": 0.005786753259599209,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.0837257980115123,
|
73 |
+
"grad_norm": 8.740777113133271,
|
74 |
"learning_rate": 4.1666666666666667e-07,
|
75 |
+
"logits/chosen": -2.7081985473632812,
|
76 |
+
"logits/rejected": -2.6920669078826904,
|
77 |
+
"logps/chosen": -253.94091796875,
|
78 |
+
"logps/rejected": -253.13613891601562,
|
79 |
+
"loss": 0.6779,
|
80 |
+
"rewards/accuracies": 0.7437499761581421,
|
81 |
+
"rewards/chosen": 0.028159379959106445,
|
82 |
+
"rewards/margins": 0.03365633636713028,
|
83 |
+
"rewards/rejected": -0.005496961064636707,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
"epoch": 0.10465724751439037,
|
88 |
+
"grad_norm": 8.967527533592596,
|
89 |
"learning_rate": 4.999731868769026e-07,
|
90 |
+
"logits/chosen": -2.727299451828003,
|
91 |
+
"logits/rejected": -2.6693475246429443,
|
92 |
+
"logps/chosen": -271.21044921875,
|
93 |
+
"logps/rejected": -271.84075927734375,
|
94 |
+
"loss": 0.6595,
|
95 |
+
"rewards/accuracies": 0.6812499761581421,
|
96 |
+
"rewards/chosen": -0.005260963924229145,
|
97 |
+
"rewards/margins": 0.06768764555454254,
|
98 |
+
"rewards/rejected": -0.07294861972332001,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.12558869701726844,
|
103 |
+
"grad_norm": 10.674874943980884,
|
104 |
"learning_rate": 4.990353313429303e-07,
|
105 |
+
"logits/chosen": -2.7367279529571533,
|
106 |
+
"logits/rejected": -2.695169448852539,
|
107 |
+
"logps/chosen": -257.17059326171875,
|
108 |
+
"logps/rejected": -261.27813720703125,
|
109 |
+
"loss": 0.6389,
|
110 |
"rewards/accuracies": 0.762499988079071,
|
111 |
+
"rewards/chosen": -0.1086881160736084,
|
112 |
+
"rewards/margins": 0.14326919615268707,
|
113 |
+
"rewards/rejected": -0.25195732712745667,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.14652014652014653,
|
118 |
+
"grad_norm": 13.371926053620712,
|
119 |
"learning_rate": 4.967625656594781e-07,
|
120 |
+
"logits/chosen": -2.677611827850342,
|
121 |
+
"logits/rejected": -2.6540932655334473,
|
122 |
+
"logps/chosen": -314.21636962890625,
|
123 |
+
"logps/rejected": -325.9127502441406,
|
124 |
+
"loss": 0.6064,
|
125 |
+
"rewards/accuracies": 0.7124999761581421,
|
126 |
+
"rewards/chosen": -0.27906379103660583,
|
127 |
+
"rewards/margins": 0.2486257255077362,
|
128 |
+
"rewards/rejected": -0.527689516544342,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.1674515960230246,
|
133 |
+
"grad_norm": 20.543041884620823,
|
134 |
"learning_rate": 4.93167072587771e-07,
|
135 |
+
"logits/chosen": -2.734398126602173,
|
136 |
+
"logits/rejected": -2.669373035430908,
|
137 |
+
"logps/chosen": -364.68597412109375,
|
138 |
+
"logps/rejected": -331.4052734375,
|
139 |
+
"loss": 0.5927,
|
140 |
+
"rewards/accuracies": 0.71875,
|
141 |
+
"rewards/chosen": -0.43884754180908203,
|
142 |
+
"rewards/margins": 0.39294886589050293,
|
143 |
+
"rewards/rejected": -0.8317963480949402,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
"epoch": 0.18838304552590268,
|
148 |
+
"grad_norm": 23.3331824272025,
|
149 |
"learning_rate": 4.882681251368548e-07,
|
150 |
+
"logits/chosen": -2.672283887863159,
|
151 |
+
"logits/rejected": -2.6232357025146484,
|
152 |
+
"logps/chosen": -320.28662109375,
|
153 |
+
"logps/rejected": -377.03521728515625,
|
154 |
+
"loss": 0.5607,
|
155 |
+
"rewards/accuracies": 0.737500011920929,
|
156 |
+
"rewards/chosen": -0.7396225929260254,
|
157 |
+
"rewards/margins": 0.5407915711402893,
|
158 |
+
"rewards/rejected": -1.2804142236709595,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.20931449502878074,
|
163 |
+
"grad_norm": 25.668798919400494,
|
164 |
"learning_rate": 4.820919832540181e-07,
|
165 |
+
"logits/chosen": -2.6326744556427,
|
166 |
+
"logits/rejected": -2.6118311882019043,
|
167 |
+
"logps/chosen": -355.27789306640625,
|
168 |
+
"logps/rejected": -396.7851867675781,
|
169 |
+
"loss": 0.5661,
|
170 |
+
"rewards/accuracies": 0.7562500238418579,
|
171 |
+
"rewards/chosen": -0.6812170743942261,
|
172 |
+
"rewards/margins": 0.5840116143226624,
|
173 |
+
"rewards/rejected": -1.2652287483215332,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.2302459445316588,
|
178 |
+
"grad_norm": 26.120384615402926,
|
179 |
"learning_rate": 4.7467175306295647e-07,
|
180 |
+
"logits/chosen": -2.6640563011169434,
|
181 |
+
"logits/rejected": -2.618682384490967,
|
182 |
+
"logps/chosen": -367.52850341796875,
|
183 |
+
"logps/rejected": -391.9440612792969,
|
184 |
+
"loss": 0.5878,
|
185 |
+
"rewards/accuracies": 0.637499988079071,
|
186 |
+
"rewards/chosen": -0.8145754933357239,
|
187 |
+
"rewards/margins": 0.4289913773536682,
|
188 |
+
"rewards/rejected": -1.243566870689392,
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.25117739403453687,
|
193 |
+
"grad_norm": 21.77135334354446,
|
194 |
"learning_rate": 4.6604720940421207e-07,
|
195 |
+
"logits/chosen": -2.555119037628174,
|
196 |
+
"logits/rejected": -2.56174898147583,
|
197 |
+
"logps/chosen": -314.50299072265625,
|
198 |
+
"logps/rejected": -358.1918029785156,
|
199 |
+
"loss": 0.5653,
|
200 |
+
"rewards/accuracies": 0.7437499761581421,
|
201 |
+
"rewards/chosen": -0.5376996397972107,
|
202 |
+
"rewards/margins": 0.5146290063858032,
|
203 |
+
"rewards/rejected": -1.0523287057876587,
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
"epoch": 0.272108843537415,
|
208 |
+
"grad_norm": 33.88547905386826,
|
209 |
"learning_rate": 4.5626458262912735e-07,
|
210 |
+
"logits/chosen": -2.587398052215576,
|
211 |
+
"logits/rejected": -2.5758957862854004,
|
212 |
+
"logps/chosen": -325.7637939453125,
|
213 |
+
"logps/rejected": -355.89044189453125,
|
214 |
+
"loss": 0.5484,
|
215 |
+
"rewards/accuracies": 0.706250011920929,
|
216 |
+
"rewards/chosen": -0.5277008414268494,
|
217 |
+
"rewards/margins": 0.4236302375793457,
|
218 |
+
"rewards/rejected": -0.9513310194015503,
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.29304029304029305,
|
223 |
+
"grad_norm": 31.071210271040595,
|
224 |
"learning_rate": 4.453763107901675e-07,
|
225 |
+
"logits/chosen": -2.615340232849121,
|
226 |
+
"logits/rejected": -2.5916059017181396,
|
227 |
+
"logps/chosen": -365.6969299316406,
|
228 |
+
"logps/rejected": -390.7157287597656,
|
229 |
+
"loss": 0.5565,
|
230 |
+
"rewards/accuracies": 0.8374999761581421,
|
231 |
+
"rewards/chosen": -0.5825755596160889,
|
232 |
+
"rewards/margins": 0.6785892248153687,
|
233 |
+
"rewards/rejected": -1.261164903640747,
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
"epoch": 0.3139717425431711,
|
238 |
+
"grad_norm": 21.469144106917998,
|
239 |
"learning_rate": 4.3344075855595097e-07,
|
240 |
+
"logits/chosen": -2.5812668800354004,
|
241 |
+
"logits/rejected": -2.554624557495117,
|
242 |
+
"logps/chosen": -355.30401611328125,
|
243 |
+
"logps/rejected": -370.72967529296875,
|
244 |
+
"loss": 0.5675,
|
245 |
+
"rewards/accuracies": 0.737500011920929,
|
246 |
+
"rewards/chosen": -0.8197686076164246,
|
247 |
+
"rewards/margins": 0.48544248938560486,
|
248 |
+
"rewards/rejected": -1.305211067199707,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.3349031920460492,
|
253 |
+
"grad_norm": 21.777071374240855,
|
254 |
"learning_rate": 4.2052190435769554e-07,
|
255 |
+
"logits/chosen": -2.6186599731445312,
|
256 |
+
"logits/rejected": -2.581908941268921,
|
257 |
+
"logps/chosen": -337.18695068359375,
|
258 |
+
"logps/rejected": -372.72894287109375,
|
259 |
+
"loss": 0.5668,
|
260 |
+
"rewards/accuracies": 0.7562500238418579,
|
261 |
+
"rewards/chosen": -0.6758376359939575,
|
262 |
+
"rewards/margins": 0.6010496020317078,
|
263 |
+
"rewards/rejected": -1.2768871784210205,
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
"epoch": 0.35583464154892724,
|
268 |
+
"grad_norm": 19.375383016314835,
|
269 |
"learning_rate": 4.0668899744407567e-07,
|
270 |
+
"logits/chosen": -2.480734348297119,
|
271 |
+
"logits/rejected": -2.470438241958618,
|
272 |
+
"logps/chosen": -332.8466796875,
|
273 |
+
"logps/rejected": -356.3028259277344,
|
274 |
+
"loss": 0.56,
|
275 |
+
"rewards/accuracies": 0.7124999761581421,
|
276 |
+
"rewards/chosen": -0.7997764348983765,
|
277 |
+
"rewards/margins": 0.4615844786167145,
|
278 |
+
"rewards/rejected": -1.261361002922058,
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.37676609105180536,
|
283 |
+
"grad_norm": 20.990946288367706,
|
284 |
"learning_rate": 3.920161866827889e-07,
|
285 |
+
"logits/chosen": -2.5555384159088135,
|
286 |
+
"logits/rejected": -2.530357599258423,
|
287 |
+
"logps/chosen": -356.4952087402344,
|
288 |
+
"logps/rejected": -373.42803955078125,
|
289 |
+
"loss": 0.5268,
|
290 |
+
"rewards/accuracies": 0.6812499761581421,
|
291 |
+
"rewards/chosen": -0.9372851252555847,
|
292 |
+
"rewards/margins": 0.4233158528804779,
|
293 |
+
"rewards/rejected": -1.3606010675430298,
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
"epoch": 0.3976975405546834,
|
298 |
+
"grad_norm": 22.804559593658382,
|
299 |
"learning_rate": 3.765821230985757e-07,
|
300 |
+
"logits/chosen": -2.4814000129699707,
|
301 |
+
"logits/rejected": -2.4526283740997314,
|
302 |
+
"logps/chosen": -335.11944580078125,
|
303 |
+
"logps/rejected": -378.43768310546875,
|
304 |
+
"loss": 0.55,
|
305 |
"rewards/accuracies": 0.6812499761581421,
|
306 |
+
"rewards/chosen": -0.8277766108512878,
|
307 |
+
"rewards/margins": 0.4885457158088684,
|
308 |
+
"rewards/rejected": -1.3163223266601562,
|
309 |
"step": 190
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.4186289900575615,
|
313 |
+
"grad_norm": 43.87788468421851,
|
314 |
"learning_rate": 3.604695382782159e-07,
|
315 |
+
"logits/chosen": -2.4679489135742188,
|
316 |
+
"logits/rejected": -2.4767565727233887,
|
317 |
+
"logps/chosen": -312.5929260253906,
|
318 |
+
"logps/rejected": -386.0437316894531,
|
319 |
+
"loss": 0.557,
|
320 |
+
"rewards/accuracies": 0.71875,
|
321 |
+
"rewards/chosen": -0.7163432836532593,
|
322 |
+
"rewards/margins": 0.5137871503829956,
|
323 |
+
"rewards/rejected": -1.2301304340362549,
|
324 |
"step": 200
|
325 |
},
|
326 |
{
|
327 |
"epoch": 0.43956043956043955,
|
328 |
+
"grad_norm": 23.27261695682354,
|
329 |
"learning_rate": 3.4376480090239047e-07,
|
330 |
+
"logits/chosen": -2.5316569805145264,
|
331 |
+
"logits/rejected": -2.4835801124572754,
|
332 |
+
"logps/chosen": -373.7596740722656,
|
333 |
+
"logps/rejected": -372.31744384765625,
|
334 |
+
"loss": 0.554,
|
335 |
+
"rewards/accuracies": 0.699999988079071,
|
336 |
+
"rewards/chosen": -0.734451413154602,
|
337 |
+
"rewards/margins": 0.5430240631103516,
|
338 |
+
"rewards/rejected": -1.2774755954742432,
|
339 |
"step": 210
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.4604918890633176,
|
343 |
+
"grad_norm": 23.03363112192297,
|
344 |
"learning_rate": 3.265574537815398e-07,
|
345 |
+
"logits/chosen": -2.44421648979187,
|
346 |
+
"logits/rejected": -2.4709441661834717,
|
347 |
+
"logps/chosen": -309.4106750488281,
|
348 |
+
"logps/rejected": -372.0838928222656,
|
349 |
+
"loss": 0.536,
|
350 |
+
"rewards/accuracies": 0.762499988079071,
|
351 |
+
"rewards/chosen": -0.7646220326423645,
|
352 |
+
"rewards/margins": 0.5907694101333618,
|
353 |
+
"rewards/rejected": -1.355391263961792,
|
354 |
"step": 220
|
355 |
},
|
356 |
{
|
357 |
"epoch": 0.48142333856619574,
|
358 |
+
"grad_norm": 20.661508323720707,
|
359 |
"learning_rate": 3.0893973387735683e-07,
|
360 |
+
"logits/chosen": -2.536019802093506,
|
361 |
+
"logits/rejected": -2.50170636177063,
|
362 |
+
"logps/chosen": -335.34906005859375,
|
363 |
+
"logps/rejected": -395.7792053222656,
|
364 |
+
"loss": 0.5462,
|
365 |
+
"rewards/accuracies": 0.768750011920929,
|
366 |
+
"rewards/chosen": -0.824562668800354,
|
367 |
+
"rewards/margins": 0.8087692260742188,
|
368 |
+
"rewards/rejected": -1.6333318948745728,
|
369 |
"step": 230
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.5023547880690737,
|
373 |
+
"grad_norm": 25.41017506792381,
|
374 |
"learning_rate": 2.910060778827554e-07,
|
375 |
+
"logits/chosen": -2.5316414833068848,
|
376 |
+
"logits/rejected": -2.4878182411193848,
|
377 |
+
"logps/chosen": -365.3668518066406,
|
378 |
+
"logps/rejected": -404.6741943359375,
|
379 |
+
"loss": 0.5097,
|
380 |
+
"rewards/accuracies": 0.737500011920929,
|
381 |
+
"rewards/chosen": -0.8398407697677612,
|
382 |
+
"rewards/margins": 0.6778165102005005,
|
383 |
+
"rewards/rejected": -1.5176571607589722,
|
384 |
"step": 240
|
385 |
},
|
386 |
{
|
387 |
"epoch": 0.5232862375719518,
|
388 |
+
"grad_norm": 21.046624681616386,
|
389 |
"learning_rate": 2.7285261601056697e-07,
|
390 |
+
"logits/chosen": -2.5078229904174805,
|
391 |
+
"logits/rejected": -2.4572062492370605,
|
392 |
+
"logps/chosen": -362.0970153808594,
|
393 |
+
"logps/rejected": -402.87164306640625,
|
394 |
+
"loss": 0.5271,
|
395 |
+
"rewards/accuracies": 0.7875000238418579,
|
396 |
+
"rewards/chosen": -0.9026647806167603,
|
397 |
+
"rewards/margins": 0.8122144937515259,
|
398 |
+
"rewards/rejected": -1.7148792743682861,
|
399 |
"step": 250
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.54421768707483,
|
403 |
+
"grad_norm": 26.951476961584774,
|
404 |
"learning_rate": 2.5457665670441937e-07,
|
405 |
+
"logits/chosen": -2.545964479446411,
|
406 |
+
"logits/rejected": -2.563002586364746,
|
407 |
+
"logps/chosen": -341.8129577636719,
|
408 |
+
"logps/rejected": -384.24810791015625,
|
409 |
+
"loss": 0.5291,
|
410 |
+
"rewards/accuracies": 0.6875,
|
411 |
+
"rewards/chosen": -0.8498622179031372,
|
412 |
+
"rewards/margins": 0.5883921384811401,
|
413 |
+
"rewards/rejected": -1.4382541179656982,
|
414 |
"step": 260
|
415 |
},
|
416 |
{
|
417 |
"epoch": 0.565149136577708,
|
418 |
+
"grad_norm": 25.054855981780108,
|
419 |
"learning_rate": 2.3627616503391812e-07,
|
420 |
+
"logits/chosen": -2.5025930404663086,
|
421 |
+
"logits/rejected": -2.4966609477996826,
|
422 |
+
"logps/chosen": -374.5225524902344,
|
423 |
+
"logps/rejected": -423.27667236328125,
|
424 |
+
"loss": 0.5365,
|
425 |
+
"rewards/accuracies": 0.7749999761581421,
|
426 |
+
"rewards/chosen": -0.8824374079704285,
|
427 |
+
"rewards/margins": 0.7567933797836304,
|
428 |
+
"rewards/rejected": -1.639230728149414,
|
429 |
"step": 270
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.5860805860805861,
|
433 |
+
"grad_norm": 26.60953309509591,
|
434 |
"learning_rate": 2.1804923757009882e-07,
|
435 |
+
"logits/chosen": -2.397477626800537,
|
436 |
+
"logits/rejected": -2.40055513381958,
|
437 |
+
"logps/chosen": -334.273681640625,
|
438 |
+
"logps/rejected": -364.7743835449219,
|
439 |
+
"loss": 0.5371,
|
440 |
+
"rewards/accuracies": 0.7124999761581421,
|
441 |
+
"rewards/chosen": -0.8206404447555542,
|
442 |
+
"rewards/margins": 0.573003351688385,
|
443 |
+
"rewards/rejected": -1.3936437368392944,
|
444 |
"step": 280
|
445 |
},
|
446 |
{
|
447 |
"epoch": 0.6070120355834642,
|
448 |
+
"grad_norm": 22.807917796831838,
|
449 |
"learning_rate": 1.9999357655598891e-07,
|
450 |
+
"logits/chosen": -2.50712513923645,
|
451 |
+
"logits/rejected": -2.443718433380127,
|
452 |
+
"logps/chosen": -316.7132263183594,
|
453 |
+
"logps/rejected": -374.1191101074219,
|
454 |
+
"loss": 0.5309,
|
455 |
+
"rewards/accuracies": 0.7749999761581421,
|
456 |
+
"rewards/chosen": -0.7564879655838013,
|
457 |
+
"rewards/margins": 0.6396000385284424,
|
458 |
+
"rewards/rejected": -1.396087884902954,
|
459 |
"step": 290
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.6279434850863422,
|
463 |
+
"grad_norm": 22.796315119157814,
|
464 |
"learning_rate": 1.8220596619089573e-07,
|
465 |
+
"logits/chosen": -2.4191675186157227,
|
466 |
+
"logits/rejected": -2.383387804031372,
|
467 |
+
"logps/chosen": -396.5976257324219,
|
468 |
+
"logps/rejected": -420.3348693847656,
|
469 |
+
"loss": 0.5078,
|
470 |
+
"rewards/accuracies": 0.78125,
|
471 |
+
"rewards/chosen": -0.8598543405532837,
|
472 |
+
"rewards/margins": 0.6821789145469666,
|
473 |
+
"rewards/rejected": -1.5420334339141846,
|
474 |
"step": 300
|
475 |
},
|
476 |
{
|
477 |
"epoch": 0.6488749345892203,
|
478 |
+
"grad_norm": 25.746010571486412,
|
479 |
"learning_rate": 1.647817538357072e-07,
|
480 |
+
"logits/chosen": -2.4751458168029785,
|
481 |
+
"logits/rejected": -2.4522910118103027,
|
482 |
+
"logps/chosen": -376.37713623046875,
|
483 |
+
"logps/rejected": -407.74664306640625,
|
484 |
+
"loss": 0.517,
|
485 |
+
"rewards/accuracies": 0.793749988079071,
|
486 |
+
"rewards/chosen": -0.8200958371162415,
|
487 |
+
"rewards/margins": 0.8248319625854492,
|
488 |
+
"rewards/rejected": -1.644927978515625,
|
489 |
"step": 310
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.6698063840920984,
|
493 |
+
"grad_norm": 23.866175857488113,
|
494 |
"learning_rate": 1.478143389201113e-07,
|
495 |
+
"logits/chosen": -2.4627318382263184,
|
496 |
+
"logits/rejected": -2.4139962196350098,
|
497 |
+
"logps/chosen": -325.8722229003906,
|
498 |
+
"logps/rejected": -377.2999572753906,
|
499 |
+
"loss": 0.4994,
|
500 |
+
"rewards/accuracies": 0.824999988079071,
|
501 |
+
"rewards/chosen": -0.7399951815605164,
|
502 |
+
"rewards/margins": 0.8288515210151672,
|
503 |
+
"rewards/rejected": -1.5688468217849731,
|
504 |
"step": 320
|
505 |
},
|
506 |
{
|
507 |
"epoch": 0.6907378335949764,
|
508 |
+
"grad_norm": 29.188939076017956,
|
509 |
"learning_rate": 1.3139467229135998e-07,
|
510 |
+
"logits/chosen": -2.4468483924865723,
|
511 |
+
"logits/rejected": -2.4332222938537598,
|
512 |
+
"logps/chosen": -345.59136962890625,
|
513 |
+
"logps/rejected": -414.7674255371094,
|
514 |
+
"loss": 0.5127,
|
515 |
+
"rewards/accuracies": 0.78125,
|
516 |
+
"rewards/chosen": -0.8333412408828735,
|
517 |
+
"rewards/margins": 0.7380296587944031,
|
518 |
+
"rewards/rejected": -1.5713708400726318,
|
519 |
"step": 330
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.7116692830978545,
|
523 |
+
"grad_norm": 32.23312179874695,
|
524 |
"learning_rate": 1.1561076868822755e-07,
|
525 |
+
"logits/chosen": -2.373051166534424,
|
526 |
+
"logits/rejected": -2.356163501739502,
|
527 |
+
"logps/chosen": -370.69696044921875,
|
528 |
+
"logps/rejected": -425.781982421875,
|
529 |
+
"loss": 0.5113,
|
530 |
+
"rewards/accuracies": 0.768750011920929,
|
531 |
+
"rewards/chosen": -0.8887789845466614,
|
532 |
+
"rewards/margins": 0.7785335779190063,
|
533 |
+
"rewards/rejected": -1.6673126220703125,
|
534 |
"step": 340
|
535 |
},
|
536 |
{
|
537 |
"epoch": 0.7326007326007326,
|
538 |
+
"grad_norm": 26.011809781132502,
|
539 |
"learning_rate": 1.0054723495346482e-07,
|
540 |
+
"logits/chosen": -2.46212100982666,
|
541 |
+
"logits/rejected": -2.4340288639068604,
|
542 |
+
"logps/chosen": -341.727783203125,
|
543 |
+
"logps/rejected": -391.04547119140625,
|
544 |
+
"loss": 0.4812,
|
545 |
+
"rewards/accuracies": 0.75,
|
546 |
+
"rewards/chosen": -0.8932917714118958,
|
547 |
+
"rewards/margins": 0.7555130124092102,
|
548 |
+
"rewards/rejected": -1.6488046646118164,
|
549 |
"step": 350
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.7535321821036107,
|
553 |
+
"grad_norm": 23.13381761725731,
|
554 |
"learning_rate": 8.628481651367875e-08,
|
555 |
+
"logits/chosen": -2.46240496635437,
|
556 |
+
"logits/rejected": -2.4163765907287598,
|
557 |
+
"logps/chosen": -402.1018371582031,
|
558 |
+
"logps/rejected": -444.62384033203125,
|
559 |
+
"loss": 0.5344,
|
560 |
+
"rewards/accuracies": 0.731249988079071,
|
561 |
+
"rewards/chosen": -1.0167683362960815,
|
562 |
+
"rewards/margins": 0.8525784611701965,
|
563 |
+
"rewards/rejected": -1.8693468570709229,
|
564 |
"step": 360
|
565 |
},
|
566 |
{
|
567 |
"epoch": 0.7744636316064888,
|
568 |
+
"grad_norm": 23.213959633864068,
|
569 |
"learning_rate": 7.289996455765748e-08,
|
570 |
+
"logits/chosen": -2.461479663848877,
|
571 |
+
"logits/rejected": -2.42368483543396,
|
572 |
+
"logps/chosen": -361.43280029296875,
|
573 |
+
"logps/rejected": -407.6648864746094,
|
574 |
+
"loss": 0.5228,
|
575 |
+
"rewards/accuracies": 0.731249988079071,
|
576 |
+
"rewards/chosen": -1.0166599750518799,
|
577 |
+
"rewards/margins": 0.7682315111160278,
|
578 |
+
"rewards/rejected": -1.7848914861679077,
|
579 |
"step": 370
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.7953950811093669,
|
583 |
+
"grad_norm": 23.448752439895866,
|
584 |
"learning_rate": 6.046442623320145e-08,
|
585 |
+
"logits/chosen": -2.3498904705047607,
|
586 |
+
"logits/rejected": -2.348081588745117,
|
587 |
+
"logps/chosen": -359.84429931640625,
|
588 |
+
"logps/rejected": -465.52752685546875,
|
589 |
+
"loss": 0.5171,
|
590 |
+
"rewards/accuracies": 0.75,
|
591 |
+
"rewards/chosen": -1.1946008205413818,
|
592 |
+
"rewards/margins": 0.8976942896842957,
|
593 |
+
"rewards/rejected": -2.0922951698303223,
|
594 |
"step": 380
|
595 |
},
|
596 |
{
|
597 |
"epoch": 0.8163265306122449,
|
598 |
+
"grad_norm": 28.683016779162074,
|
599 |
"learning_rate": 4.904486005914027e-08,
|
600 |
+
"logits/chosen": -2.4188392162323,
|
601 |
+
"logits/rejected": -2.3813109397888184,
|
602 |
+
"logps/chosen": -438.7664489746094,
|
603 |
+
"logps/rejected": -475.575439453125,
|
604 |
+
"loss": 0.5034,
|
605 |
+
"rewards/accuracies": 0.71875,
|
606 |
+
"rewards/chosen": -1.0639350414276123,
|
607 |
+
"rewards/margins": 0.7629241943359375,
|
608 |
+
"rewards/rejected": -1.8268592357635498,
|
609 |
"step": 390
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.837257980115123,
|
613 |
+
"grad_norm": 27.931926174751453,
|
614 |
"learning_rate": 3.8702478614051345e-08,
|
615 |
+
"logits/chosen": -2.392533779144287,
|
616 |
+
"logits/rejected": -2.3728108406066895,
|
617 |
+
"logps/chosen": -349.75946044921875,
|
618 |
+
"logps/rejected": -409.954833984375,
|
619 |
+
"loss": 0.523,
|
620 |
"rewards/accuracies": 0.75,
|
621 |
+
"rewards/chosen": -1.0062363147735596,
|
622 |
+
"rewards/margins": 0.7513880133628845,
|
623 |
+
"rewards/rejected": -1.7576243877410889,
|
624 |
"step": 400
|
625 |
},
|
626 |
{
|
627 |
"epoch": 0.858189429618001,
|
628 |
+
"grad_norm": 22.79792813855284,
|
629 |
"learning_rate": 2.9492720416985e-08,
|
630 |
+
"logits/chosen": -2.470493793487549,
|
631 |
+
"logits/rejected": -2.4561924934387207,
|
632 |
+
"logps/chosen": -392.3372802734375,
|
633 |
+
"logps/rejected": -443.60693359375,
|
634 |
+
"loss": 0.5171,
|
635 |
+
"rewards/accuracies": 0.75,
|
636 |
+
"rewards/chosen": -0.9740950465202332,
|
637 |
+
"rewards/margins": 0.8542107343673706,
|
638 |
+
"rewards/rejected": -1.8283056020736694,
|
639 |
"step": 410
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.8791208791208791,
|
643 |
+
"grad_norm": 29.28251834801288,
|
644 |
"learning_rate": 2.1464952759020856e-08,
|
645 |
+
"logits/chosen": -2.359532356262207,
|
646 |
+
"logits/rejected": -2.3633604049682617,
|
647 |
+
"logps/chosen": -354.50079345703125,
|
648 |
+
"logps/rejected": -437.41461181640625,
|
649 |
+
"loss": 0.5054,
|
650 |
"rewards/accuracies": 0.737500011920929,
|
651 |
+
"rewards/chosen": -1.0463224649429321,
|
652 |
+
"rewards/margins": 0.7997694611549377,
|
653 |
+
"rewards/rejected": -1.8460919857025146,
|
654 |
"step": 420
|
655 |
},
|
656 |
{
|
657 |
"epoch": 0.9000523286237572,
|
658 |
+
"grad_norm": 25.430890882929,
|
659 |
"learning_rate": 1.4662207078575684e-08,
|
660 |
+
"logits/chosen": -2.3850908279418945,
|
661 |
+
"logits/rejected": -2.3233494758605957,
|
662 |
+
"logps/chosen": -382.2372131347656,
|
663 |
+
"logps/rejected": -434.57659912109375,
|
664 |
+
"loss": 0.4949,
|
665 |
+
"rewards/accuracies": 0.7437499761581421,
|
666 |
+
"rewards/chosen": -0.9799245595932007,
|
667 |
+
"rewards/margins": 0.7894011735916138,
|
668 |
+
"rewards/rejected": -1.769325613975525,
|
669 |
"step": 430
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.9209837781266352,
|
673 |
+
"grad_norm": 25.594864644940884,
|
674 |
"learning_rate": 9.12094829893642e-09,
|
675 |
+
"logits/chosen": -2.4849045276641846,
|
676 |
+
"logits/rejected": -2.4323153495788574,
|
677 |
+
"logps/chosen": -349.52801513671875,
|
678 |
+
"logps/rejected": -390.45703125,
|
679 |
+
"loss": 0.5063,
|
680 |
+
"rewards/accuracies": 0.7124999761581421,
|
681 |
+
"rewards/chosen": -0.9329977035522461,
|
682 |
+
"rewards/margins": 0.772846519947052,
|
683 |
+
"rewards/rejected": -1.7058441638946533,
|
684 |
"step": 440
|
685 |
},
|
686 |
{
|
687 |
"epoch": 0.9419152276295133,
|
688 |
+
"grad_norm": 26.32867623084858,
|
689 |
"learning_rate": 4.8708793644441086e-09,
|
690 |
+
"logits/chosen": -2.244398593902588,
|
691 |
+
"logits/rejected": -2.2427639961242676,
|
692 |
+
"logps/chosen": -362.46478271484375,
|
693 |
+
"logps/rejected": -438.66748046875,
|
694 |
+
"loss": 0.5081,
|
695 |
+
"rewards/accuracies": 0.7875000238418579,
|
696 |
+
"rewards/chosen": -0.979316234588623,
|
697 |
+
"rewards/margins": 0.872042179107666,
|
698 |
+
"rewards/rejected": -1.85135817527771,
|
699 |
"step": 450
|
700 |
},
|
701 |
{
|
702 |
"epoch": 0.9628466771323915,
|
703 |
+
"grad_norm": 41.14956290790987,
|
704 |
"learning_rate": 1.9347820230782295e-09,
|
705 |
+
"logits/chosen": -2.3787941932678223,
|
706 |
+
"logits/rejected": -2.329960346221924,
|
707 |
+
"logps/chosen": -364.7981872558594,
|
708 |
+
"logps/rejected": -403.34716796875,
|
709 |
+
"loss": 0.5164,
|
710 |
+
"rewards/accuracies": 0.7562500238418579,
|
711 |
+
"rewards/chosen": -0.983986496925354,
|
712 |
+
"rewards/margins": 0.8341706395149231,
|
713 |
+
"rewards/rejected": -1.8181571960449219,
|
714 |
"step": 460
|
715 |
},
|
716 |
{
|
717 |
"epoch": 0.9837781266352695,
|
718 |
+
"grad_norm": 22.500477554148656,
|
719 |
"learning_rate": 3.2839470889836627e-10,
|
720 |
+
"logits/chosen": -2.385188579559326,
|
721 |
+
"logits/rejected": -2.3625881671905518,
|
722 |
+
"logps/chosen": -382.80291748046875,
|
723 |
+
"logps/rejected": -424.16400146484375,
|
724 |
+
"loss": 0.4975,
|
725 |
+
"rewards/accuracies": 0.71875,
|
726 |
+
"rewards/chosen": -0.9208614230155945,
|
727 |
+
"rewards/margins": 0.7104892134666443,
|
728 |
+
"rewards/rejected": -1.6313507556915283,
|
729 |
"step": 470
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.9984301412872841,
|
733 |
+
"eval_logits/chosen": -2.4335575103759766,
|
734 |
+
"eval_logits/rejected": -2.4131321907043457,
|
735 |
+
"eval_logps/chosen": -346.3243713378906,
|
736 |
+
"eval_logps/rejected": -432.3867492675781,
|
737 |
+
"eval_loss": 0.5131625533103943,
|
738 |
+
"eval_rewards/accuracies": 0.78125,
|
739 |
+
"eval_rewards/chosen": -0.89111328125,
|
740 |
+
"eval_rewards/margins": 0.8651110529899597,
|
741 |
+
"eval_rewards/rejected": -1.756224274635315,
|
742 |
+
"eval_runtime": 168.71,
|
743 |
+
"eval_samples_per_second": 11.855,
|
744 |
+
"eval_steps_per_second": 0.19,
|
745 |
"step": 477
|
746 |
},
|
747 |
{
|
748 |
"epoch": 0.9984301412872841,
|
749 |
"step": 477,
|
750 |
"total_flos": 0.0,
|
751 |
+
"train_loss": 0.5516081291174738,
|
752 |
+
"train_runtime": 26908.0955,
|
753 |
+
"train_samples_per_second": 2.272,
|
754 |
+
"train_steps_per_second": 0.018
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|