Model save
Browse files- README.md +2 -2
- all_results.json +6 -5
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/Jul04_01-05-39_n136-082-130/events.out.tfevents.1720026360.n136-082-130.847024.0 +2 -2
- train_results.json +6 -5
- trainer_state.json +492 -480
README.md
CHANGED
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
|
|
53 |
|
54 |
### Framework versions
|
55 |
|
56 |
-
- Transformers 4.
|
57 |
- Pytorch 2.1.2+cu118
|
58 |
- Datasets 2.16.1
|
59 |
-
- Tokenizers 0.
|
|
|
53 |
|
54 |
### Framework versions
|
55 |
|
56 |
+
- Transformers 4.41.1
|
57 |
- Pytorch 2.1.2+cu118
|
58 |
- Datasets 2.16.1
|
59 |
+
- Tokenizers 0.19.1
|
all_results.json
CHANGED
@@ -1,8 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"
|
4 |
-
"
|
|
|
5 |
"train_samples": 56236,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.9988623435722411,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6069056124241857,
|
5 |
+
"train_runtime": 7568.165,
|
6 |
"train_samples": 56236,
|
7 |
+
"train_samples_per_second": 7.431,
|
8 |
+
"train_steps_per_second": 0.058
|
9 |
}
|
generation_config.json
CHANGED
@@ -2,5 +2,5 @@
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 2,
|
5 |
-
"transformers_version": "4.
|
6 |
}
|
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.41.1"
|
6 |
}
|
model-00001-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4943162336
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2835b01b1f54d9984513be70fe4bafe1b10401e57498769928bbbf3c2d6b4dde
|
3 |
size 4943162336
|
model-00002-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999819336
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c039a5b3b2ed233596c44fca798b2e85594ca522af8b24fe4ca55392c759054
|
3 |
size 4999819336
|
model-00003-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4540516344
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71be880c3a748306bfa87fb501066232d5e06f6a5cc376b7e465bd0722e93c57
|
3 |
size 4540516344
|
runs/Jul04_01-05-39_n136-082-130/events.out.tfevents.1720026360.n136-082-130.847024.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f8fde53d5c3fe3c01a4416c94e8daf422b4e0ec68210f7a63e0f168b9236dfed
|
3 |
+
size 35557
|
train_results.json
CHANGED
@@ -1,8 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"
|
4 |
-
"
|
|
|
5 |
"train_samples": 56236,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.9988623435722411,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6069056124241857,
|
5 |
+
"train_runtime": 7568.165,
|
6 |
"train_samples": 56236,
|
7 |
+
"train_samples_per_second": 7.431,
|
8 |
+
"train_steps_per_second": 0.058
|
9 |
}
|
trainer_state.json
CHANGED
@@ -9,14 +9,14 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 2.2727272727272727e-09,
|
15 |
"logits/chosen": -1.6768856048583984,
|
16 |
"logits/rejected": -1.7259055376052856,
|
17 |
"logps/chosen": -394.9654541015625,
|
18 |
"logps/rejected": -320.0859069824219,
|
19 |
-
"loss": 0.
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
@@ -24,658 +24,658 @@
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 0.
|
28 |
-
"grad_norm":
|
29 |
"learning_rate": 2.2727272727272725e-08,
|
30 |
-
"logits/chosen": -1.
|
31 |
-
"logits/rejected": -1.
|
32 |
-
"logps/chosen": -429.
|
33 |
-
"logps/rejected": -403.
|
34 |
-
"loss": 0.
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen":
|
37 |
-
"rewards/margins": -0.
|
38 |
-
"rewards/rejected": 0.
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"grad_norm":
|
44 |
"learning_rate": 4.545454545454545e-08,
|
45 |
-
"logits/chosen": -1.
|
46 |
-
"logits/rejected": -1.
|
47 |
-
"logps/chosen": -442.
|
48 |
-
"logps/rejected": -401.
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen":
|
52 |
-
"rewards/margins": 0.
|
53 |
-
"rewards/rejected": -0.
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
-
"epoch": 0.
|
58 |
-
"grad_norm":
|
59 |
"learning_rate": 6.818181818181817e-08,
|
60 |
-
"logits/chosen": -1.
|
61 |
-
"logits/rejected": -1.
|
62 |
-
"logps/chosen": -
|
63 |
-
"logps/rejected": -
|
64 |
-
"loss": 0.
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen":
|
67 |
-
"rewards/margins": 0.
|
68 |
-
"rewards/rejected":
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"grad_norm":
|
74 |
"learning_rate": 9.09090909090909e-08,
|
75 |
-
"logits/chosen": -1.
|
76 |
-
"logits/rejected": -1.
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen":
|
82 |
-
"rewards/margins":
|
83 |
-
"rewards/rejected":
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 0.
|
88 |
-
"grad_norm":
|
89 |
"learning_rate": 9.994307990108962e-08,
|
90 |
-
"logits/chosen": -1.
|
91 |
-
"logits/rejected": -1.
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss": 0.
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen":
|
97 |
-
"rewards/margins":
|
98 |
-
"rewards/rejected":
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"grad_norm":
|
104 |
"learning_rate": 9.959570405988094e-08,
|
105 |
-
"logits/chosen": -1.
|
106 |
-
"logits/rejected": -1.
|
107 |
-
"logps/chosen": -
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
-
"rewards/accuracies": 0.
|
111 |
-
"rewards/chosen":
|
112 |
-
"rewards/margins": 0.
|
113 |
-
"rewards/rejected": 0.
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
"learning_rate": 9.893476820924666e-08,
|
120 |
-
"logits/chosen": -1.
|
121 |
-
"logits/rejected": -1.
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss": 0.
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen":
|
127 |
-
"rewards/margins":
|
128 |
-
"rewards/rejected": 0.
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"grad_norm":
|
134 |
"learning_rate": 9.796445099843647e-08,
|
135 |
-
"logits/chosen": -
|
136 |
-
"logits/rejected": -1.
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss": 0.
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen":
|
142 |
-
"rewards/margins":
|
143 |
-
"rewards/rejected": 0.
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
"learning_rate": 9.669088708527066e-08,
|
150 |
-
"logits/chosen": -
|
151 |
-
"logits/rejected": -1.
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen":
|
157 |
-
"rewards/margins":
|
158 |
-
"rewards/rejected": 0.
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm":
|
164 |
"learning_rate": 9.512212835085849e-08,
|
165 |
-
"logits/chosen": -
|
166 |
-
"logits/rejected": -
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss": 0.
|
170 |
-
"rewards/accuracies": 0.
|
171 |
-
"rewards/chosen":
|
172 |
-
"rewards/margins":
|
173 |
-
"rewards/rejected": 0.
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
-
"epoch": 0.
|
178 |
-
"grad_norm":
|
179 |
"learning_rate": 9.326809299301306e-08,
|
180 |
-
"logits/chosen": -
|
181 |
-
"logits/rejected": -
|
182 |
-
"logps/chosen": -
|
183 |
-
"logps/rejected": -
|
184 |
-
"loss": 0.
|
185 |
-
"rewards/accuracies": 0.
|
186 |
-
"rewards/chosen":
|
187 |
-
"rewards/margins":
|
188 |
-
"rewards/rejected": 0.
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
-
"grad_norm":
|
194 |
"learning_rate": 9.114050282021158e-08,
|
195 |
-
"logits/chosen": -
|
196 |
-
"logits/rejected": -
|
197 |
-
"logps/chosen": -
|
198 |
-
"logps/rejected": -
|
199 |
-
"loss": 0.
|
200 |
-
"rewards/accuracies": 0.
|
201 |
-
"rewards/chosen":
|
202 |
-
"rewards/margins":
|
203 |
-
"rewards/rejected": 0.
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
-
"epoch": 0.
|
208 |
-
"grad_norm":
|
209 |
"learning_rate": 8.875280914254802e-08,
|
210 |
-
"logits/chosen": -
|
211 |
-
"logits/rejected": -
|
212 |
-
"logps/chosen": -
|
213 |
-
"logps/rejected": -
|
214 |
-
"loss": 0.
|
215 |
-
"rewards/accuracies": 0.
|
216 |
-
"rewards/chosen":
|
217 |
-
"rewards/margins":
|
218 |
-
"rewards/rejected": -0.
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"grad_norm":
|
224 |
"learning_rate": 8.612010772821971e-08,
|
225 |
-
"logits/chosen": -
|
226 |
-
"logits/rejected": -
|
227 |
-
"logps/chosen": -
|
228 |
-
"logps/rejected": -407.
|
229 |
-
"loss": 0.
|
230 |
-
"rewards/accuracies": 0.
|
231 |
-
"rewards/chosen":
|
232 |
-
"rewards/margins":
|
233 |
-
"rewards/rejected": 0.
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
-
"epoch": 0.
|
238 |
-
"grad_norm":
|
239 |
"learning_rate": 8.325904336322055e-08,
|
240 |
-
"logits/chosen": -
|
241 |
-
"logits/rejected": -
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen":
|
247 |
-
"rewards/margins":
|
248 |
-
"rewards/rejected":
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
-
"grad_norm":
|
254 |
"learning_rate": 8.01877046176447e-08,
|
255 |
-
"logits/chosen": -
|
256 |
-
"logits/rejected": -
|
257 |
-
"logps/chosen": -
|
258 |
-
"logps/rejected": -
|
259 |
-
"loss": 0.
|
260 |
-
"rewards/accuracies": 0.
|
261 |
-
"rewards/chosen":
|
262 |
-
"rewards/margins":
|
263 |
-
"rewards/rejected": -0.
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
-
"epoch": 0.
|
268 |
-
"grad_norm":
|
269 |
"learning_rate": 7.692550948392249e-08,
|
270 |
-
"logits/chosen": -
|
271 |
-
"logits/rejected": -
|
272 |
-
"logps/chosen": -
|
273 |
-
"logps/rejected": -
|
274 |
-
"loss": 0.
|
275 |
-
"rewards/accuracies": 0.
|
276 |
-
"rewards/chosen":
|
277 |
-
"rewards/margins":
|
278 |
-
"rewards/rejected":
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
-
"epoch": 0.
|
283 |
-
"grad_norm":
|
284 |
"learning_rate": 7.349308261002021e-08,
|
285 |
-
"logits/chosen": -
|
286 |
-
"logits/rejected": -
|
287 |
-
"logps/chosen": -
|
288 |
-
"logps/rejected": -
|
289 |
-
"loss": 0.
|
290 |
-
"rewards/accuracies": 0.
|
291 |
-
"rewards/chosen":
|
292 |
-
"rewards/margins":
|
293 |
-
"rewards/rejected":
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
-
"epoch": 0.
|
298 |
-
"grad_norm":
|
299 |
"learning_rate": 6.991212490377531e-08,
|
300 |
-
"logits/chosen": -
|
301 |
-
"logits/rejected": -
|
302 |
-
"logps/chosen": -
|
303 |
-
"logps/rejected": -
|
304 |
-
"loss": 0.
|
305 |
-
"rewards/accuracies": 0.
|
306 |
-
"rewards/chosen":
|
307 |
-
"rewards/margins":
|
308 |
-
"rewards/rejected": -0.
|
309 |
"step": 190
|
310 |
},
|
311 |
{
|
312 |
-
"epoch": 0.
|
313 |
-
"grad_norm":
|
314 |
"learning_rate": 6.620527633276978e-08,
|
315 |
-
"logits/chosen": -
|
316 |
-
"logits/rejected": -
|
317 |
-
"logps/chosen": -
|
318 |
-
"logps/rejected": -
|
319 |
-
"loss": 0.
|
320 |
-
"rewards/accuracies": 0.
|
321 |
-
"rewards/chosen":
|
322 |
-
"rewards/margins":
|
323 |
-
"rewards/rejected": -0.
|
324 |
"step": 200
|
325 |
},
|
326 |
{
|
327 |
-
"epoch": 0.
|
328 |
-
"grad_norm":
|
329 |
"learning_rate": 6.239597278716581e-08,
|
330 |
-
"logits/chosen": -
|
331 |
-
"logits/rejected": -
|
332 |
-
"logps/chosen": -
|
333 |
-
"logps/rejected": -
|
334 |
-
"loss": 0.
|
335 |
-
"rewards/accuracies": 0.
|
336 |
-
"rewards/chosen":
|
337 |
-
"rewards/margins":
|
338 |
-
"rewards/rejected": -0.
|
339 |
"step": 210
|
340 |
},
|
341 |
{
|
342 |
-
"epoch": 0.
|
343 |
-
"grad_norm":
|
344 |
"learning_rate": 5.8508297910462456e-08,
|
345 |
-
"logits/chosen": -
|
346 |
-
"logits/rejected": -
|
347 |
-
"logps/chosen": -
|
348 |
-
"logps/rejected": -
|
349 |
-
"loss": 0.
|
350 |
-
"rewards/accuracies": 0.
|
351 |
-
"rewards/chosen":
|
352 |
-
"rewards/margins":
|
353 |
-
"rewards/rejected": -0.
|
354 |
"step": 220
|
355 |
},
|
356 |
{
|
357 |
-
"epoch": 0.
|
358 |
-
"grad_norm":
|
359 |
"learning_rate": 5.456683083494731e-08,
|
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":
|
368 |
-
"rewards/rejected": -0.
|
369 |
"step": 230
|
370 |
},
|
371 |
{
|
372 |
-
"epoch": 0.
|
373 |
-
"grad_norm":
|
374 |
"learning_rate": 5.059649078450834e-08,
|
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":
|
383 |
-
"rewards/rejected": -0.
|
384 |
"step": 240
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 0.
|
388 |
-
"grad_norm":
|
389 |
"learning_rate": 4.6622379527277186e-08,
|
390 |
-
"logits/chosen": -
|
391 |
-
"logits/rejected": -
|
392 |
-
"logps/chosen": -
|
393 |
-
"logps/rejected": -
|
394 |
-
"loss": 0.
|
395 |
"rewards/accuracies": 0.7124999761581421,
|
396 |
-
"rewards/chosen":
|
397 |
-
"rewards/margins":
|
398 |
-
"rewards/rejected": -0.
|
399 |
"step": 250
|
400 |
},
|
401 |
{
|
402 |
-
"epoch": 0.
|
403 |
-
"grad_norm":
|
404 |
"learning_rate": 4.26696226741691e-08,
|
405 |
-
"logits/chosen": -
|
406 |
-
"logits/rejected": -
|
407 |
-
"logps/chosen": -
|
408 |
-
"logps/rejected": -
|
409 |
-
"loss": 0.
|
410 |
-
"rewards/accuracies": 0.
|
411 |
-
"rewards/chosen":
|
412 |
-
"rewards/margins":
|
413 |
-
"rewards/rejected": -0.
|
414 |
"step": 260
|
415 |
},
|
416 |
{
|
417 |
-
"epoch": 0.
|
418 |
-
"grad_norm":
|
419 |
"learning_rate": 3.876321082668098e-08,
|
420 |
-
"logits/chosen": -
|
421 |
-
"logits/rejected": -
|
422 |
-
"logps/chosen": -
|
423 |
-
"logps/rejected": -
|
424 |
-
"loss": 0.
|
425 |
-
"rewards/accuracies": 0.
|
426 |
-
"rewards/chosen":
|
427 |
-
"rewards/margins":
|
428 |
-
"rewards/rejected": -0.
|
429 |
"step": 270
|
430 |
},
|
431 |
{
|
432 |
-
"epoch": 0.
|
433 |
-
"grad_norm":
|
434 |
"learning_rate": 3.492784157826244e-08,
|
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":
|
443 |
-
"rewards/rejected": -0.
|
444 |
"step": 280
|
445 |
},
|
446 |
{
|
447 |
-
"epoch": 0.
|
448 |
-
"grad_norm":
|
449 |
"learning_rate": 3.118776336817812e-08,
|
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":
|
458 |
-
"rewards/rejected":
|
459 |
"step": 290
|
460 |
},
|
461 |
{
|
462 |
-
"epoch": 0.
|
463 |
-
"grad_norm":
|
464 |
"learning_rate": 2.7566622175067443e-08,
|
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":
|
473 |
-
"rewards/rejected":
|
474 |
"step": 300
|
475 |
},
|
476 |
{
|
477 |
-
"epoch": 0.
|
478 |
-
"grad_norm":
|
479 |
"learning_rate": 2.408731201945432e-08,
|
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.
|
493 |
-
"grad_norm":
|
494 |
"learning_rate": 2.0771830220378112e-08,
|
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":
|
503 |
-
"rewards/rejected":
|
504 |
"step": 320
|
505 |
},
|
506 |
{
|
507 |
-
"epoch": 0.
|
508 |
-
"grad_norm":
|
509 |
"learning_rate": 1.7641138321260257e-08,
|
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":
|
518 |
-
"rewards/rejected": -0.
|
519 |
"step": 330
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 0.
|
523 |
-
"grad_norm":
|
524 |
"learning_rate": 1.4715029564277793e-08,
|
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":
|
533 |
-
"rewards/rejected":
|
534 |
"step": 340
|
535 |
},
|
536 |
{
|
537 |
-
"epoch": 0.
|
538 |
-
"grad_norm":
|
539 |
"learning_rate": 1.2012003751113343e-08,
|
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":
|
548 |
-
"rewards/rejected": -0.
|
549 |
"step": 350
|
550 |
},
|
551 |
{
|
552 |
-
"epoch": 0.
|
553 |
-
"grad_norm":
|
554 |
"learning_rate": 9.549150281252633e-09,
|
555 |
-
"logits/chosen": -
|
556 |
-
"logits/rejected": -
|
557 |
-
"logps/chosen": -
|
558 |
-
"logps/rejected": -
|
559 |
-
"loss": 0.
|
560 |
-
"rewards/accuracies": 0.
|
561 |
-
"rewards/chosen":
|
562 |
-
"rewards/margins":
|
563 |
-
"rewards/rejected":
|
564 |
"step": 360
|
565 |
},
|
566 |
{
|
567 |
-
"epoch": 0.
|
568 |
-
"grad_norm":
|
569 |
"learning_rate": 7.3420401072985306e-09,
|
570 |
-
"logits/chosen": -
|
571 |
-
"logits/rejected": -
|
572 |
-
"logps/chosen": -
|
573 |
-
"logps/rejected": -
|
574 |
-
"loss": 0.
|
575 |
-
"rewards/accuracies": 0.
|
576 |
-
"rewards/chosen":
|
577 |
-
"rewards/margins":
|
578 |
-
"rewards/rejected":
|
579 |
"step": 370
|
580 |
},
|
581 |
{
|
582 |
-
"epoch": 0.
|
583 |
-
"grad_norm":
|
584 |
"learning_rate": 5.404627290395369e-09,
|
585 |
-
"logits/chosen": -
|
586 |
-
"logits/rejected": -
|
587 |
-
"logps/chosen": -
|
588 |
-
"logps/rejected": -
|
589 |
-
"loss": 0.
|
590 |
-
"rewards/accuracies": 0.
|
591 |
-
"rewards/chosen":
|
592 |
-
"rewards/margins":
|
593 |
-
"rewards/rejected":
|
594 |
"step": 380
|
595 |
},
|
596 |
{
|
597 |
-
"epoch": 0.
|
598 |
-
"grad_norm":
|
599 |
"learning_rate": 3.74916077816162e-09,
|
600 |
-
"logits/chosen": -
|
601 |
-
"logits/rejected": -
|
602 |
-
"logps/chosen": -
|
603 |
-
"logps/rejected": -
|
604 |
-
"loss": 0.
|
605 |
-
"rewards/accuracies": 0.
|
606 |
-
"rewards/chosen":
|
607 |
-
"rewards/margins":
|
608 |
-
"rewards/rejected":
|
609 |
"step": 390
|
610 |
},
|
611 |
{
|
612 |
-
"epoch": 0.
|
613 |
-
"grad_norm":
|
614 |
"learning_rate": 2.386106962899165e-09,
|
615 |
-
"logits/chosen": -
|
616 |
-
"logits/rejected": -
|
617 |
-
"logps/chosen": -
|
618 |
-
"logps/rejected": -
|
619 |
-
"loss": 0.
|
620 |
-
"rewards/accuracies": 0.
|
621 |
-
"rewards/chosen":
|
622 |
-
"rewards/margins":
|
623 |
-
"rewards/rejected": -0.
|
624 |
"step": 400
|
625 |
},
|
626 |
{
|
627 |
-
"epoch": 0.
|
628 |
-
"grad_norm":
|
629 |
"learning_rate": 1.3240835096913706e-09,
|
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":
|
638 |
-
"rewards/rejected":
|
639 |
"step": 410
|
640 |
},
|
641 |
{
|
642 |
-
"epoch": 0.
|
643 |
-
"grad_norm":
|
644 |
"learning_rate": 5.698048727497462e-10,
|
645 |
-
"logits/chosen": -
|
646 |
-
"logits/rejected": -
|
647 |
-
"logps/chosen": -
|
648 |
-
"logps/rejected": -
|
649 |
-
"loss": 0.
|
650 |
-
"rewards/accuracies": 0.
|
651 |
-
"rewards/chosen":
|
652 |
-
"rewards/margins":
|
653 |
-
"rewards/rejected":
|
654 |
"step": 420
|
655 |
},
|
656 |
{
|
657 |
-
"epoch": 0.
|
658 |
-
"grad_norm":
|
659 |
"learning_rate": 1.2803984447259387e-10,
|
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":
|
668 |
-
"rewards/rejected":
|
669 |
"step": 430
|
670 |
},
|
671 |
{
|
672 |
-
"epoch":
|
673 |
"step": 439,
|
674 |
"total_flos": 0.0,
|
675 |
-
"train_loss": 0.
|
676 |
-
"train_runtime":
|
677 |
-
"train_samples_per_second":
|
678 |
-
"train_steps_per_second": 0.
|
679 |
}
|
680 |
],
|
681 |
"logging_steps": 10,
|
@@ -683,6 +683,18 @@
|
|
683 |
"num_input_tokens_seen": 0,
|
684 |
"num_train_epochs": 1,
|
685 |
"save_steps": 100,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
686 |
"total_flos": 0.0,
|
687 |
"train_batch_size": 4,
|
688 |
"trial_name": null,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0022753128555176336,
|
13 |
+
"grad_norm": 2401.7651304741935,
|
14 |
"learning_rate": 2.2727272727272727e-09,
|
15 |
"logits/chosen": -1.6768856048583984,
|
16 |
"logits/rejected": -1.7259055376052856,
|
17 |
"logps/chosen": -394.9654541015625,
|
18 |
"logps/rejected": -320.0859069824219,
|
19 |
+
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 0.022753128555176336,
|
28 |
+
"grad_norm": 3674.27103893147,
|
29 |
"learning_rate": 2.2727272727272725e-08,
|
30 |
+
"logits/chosen": -1.7033692598342896,
|
31 |
+
"logits/rejected": -1.668839931488037,
|
32 |
+
"logps/chosen": -429.4827575683594,
|
33 |
+
"logps/rejected": -403.7341613769531,
|
34 |
+
"loss": 0.8236,
|
35 |
+
"rewards/accuracies": 0.4930555522441864,
|
36 |
+
"rewards/chosen": 0.04477702081203461,
|
37 |
+
"rewards/margins": -0.03203389421105385,
|
38 |
+
"rewards/rejected": 0.07681091874837875,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.04550625711035267,
|
43 |
+
"grad_norm": 7689.946378851128,
|
44 |
"learning_rate": 4.545454545454545e-08,
|
45 |
+
"logits/chosen": -1.7804689407348633,
|
46 |
+
"logits/rejected": -1.7352758646011353,
|
47 |
+
"logps/chosen": -442.10357666015625,
|
48 |
+
"logps/rejected": -401.1966857910156,
|
49 |
+
"loss": 0.7984,
|
50 |
+
"rewards/accuracies": 0.4937500059604645,
|
51 |
+
"rewards/chosen": 0.04200217127799988,
|
52 |
+
"rewards/margins": 0.06276695430278778,
|
53 |
+
"rewards/rejected": -0.0207647867500782,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
+
"epoch": 0.06825938566552901,
|
58 |
+
"grad_norm": 3320.742356538349,
|
59 |
"learning_rate": 6.818181818181817e-08,
|
60 |
+
"logits/chosen": -1.748478889465332,
|
61 |
+
"logits/rejected": -1.6795032024383545,
|
62 |
+
"logps/chosen": -439.0035095214844,
|
63 |
+
"logps/rejected": -399.9698181152344,
|
64 |
+
"loss": 0.7209,
|
65 |
+
"rewards/accuracies": 0.643750011920929,
|
66 |
+
"rewards/chosen": 0.7892183661460876,
|
67 |
+
"rewards/margins": 0.4209066331386566,
|
68 |
+
"rewards/rejected": 0.36831170320510864,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.09101251422070535,
|
73 |
+
"grad_norm": 2645.399792158171,
|
74 |
"learning_rate": 9.09090909090909e-08,
|
75 |
+
"logits/chosen": -1.7387292385101318,
|
76 |
+
"logits/rejected": -1.6709461212158203,
|
77 |
+
"logps/chosen": -429.72637939453125,
|
78 |
+
"logps/rejected": -381.5823059082031,
|
79 |
+
"loss": 0.6851,
|
80 |
+
"rewards/accuracies": 0.6875,
|
81 |
+
"rewards/chosen": 2.5361411571502686,
|
82 |
+
"rewards/margins": 1.0025578737258911,
|
83 |
+
"rewards/rejected": 1.533583641052246,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 0.11376564277588168,
|
88 |
+
"grad_norm": 2727.7867200257297,
|
89 |
"learning_rate": 9.994307990108962e-08,
|
90 |
+
"logits/chosen": -1.7028394937515259,
|
91 |
+
"logits/rejected": -1.6375631093978882,
|
92 |
+
"logps/chosen": -447.03662109375,
|
93 |
+
"logps/rejected": -387.6848449707031,
|
94 |
+
"loss": 0.6375,
|
95 |
+
"rewards/accuracies": 0.6625000238418579,
|
96 |
+
"rewards/chosen": 1.6797555685043335,
|
97 |
+
"rewards/margins": 1.2827322483062744,
|
98 |
+
"rewards/rejected": 0.39702337980270386,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.13651877133105803,
|
103 |
+
"grad_norm": 3144.6788910608248,
|
104 |
"learning_rate": 9.959570405988094e-08,
|
105 |
+
"logits/chosen": -1.7310268878936768,
|
106 |
+
"logits/rejected": -1.6494038105010986,
|
107 |
+
"logps/chosen": -393.791748046875,
|
108 |
+
"logps/rejected": -361.52777099609375,
|
109 |
+
"loss": 0.6436,
|
110 |
+
"rewards/accuracies": 0.6937500238418579,
|
111 |
+
"rewards/chosen": 1.3311208486557007,
|
112 |
+
"rewards/margins": 0.8541172742843628,
|
113 |
+
"rewards/rejected": 0.47700363397598267,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.15927189988623436,
|
118 |
+
"grad_norm": 2122.8952693977944,
|
119 |
"learning_rate": 9.893476820924666e-08,
|
120 |
+
"logits/chosen": -1.8110435009002686,
|
121 |
+
"logits/rejected": -1.7250308990478516,
|
122 |
+
"logps/chosen": -430.95562744140625,
|
123 |
+
"logps/rejected": -386.60845947265625,
|
124 |
+
"loss": 0.5572,
|
125 |
+
"rewards/accuracies": 0.731249988079071,
|
126 |
+
"rewards/chosen": 1.141100525856018,
|
127 |
+
"rewards/margins": 1.2472059726715088,
|
128 |
+
"rewards/rejected": -0.10610540211200714,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.1820250284414107,
|
133 |
+
"grad_norm": 3330.6701664231987,
|
134 |
"learning_rate": 9.796445099843647e-08,
|
135 |
+
"logits/chosen": -1.7953722476959229,
|
136 |
+
"logits/rejected": -1.7064487934112549,
|
137 |
+
"logps/chosen": -441.93267822265625,
|
138 |
+
"logps/rejected": -399.75653076171875,
|
139 |
+
"loss": 0.6418,
|
140 |
+
"rewards/accuracies": 0.706250011920929,
|
141 |
+
"rewards/chosen": 1.6198523044586182,
|
142 |
+
"rewards/margins": 1.3530175685882568,
|
143 |
+
"rewards/rejected": 0.2668345868587494,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.20477815699658702,
|
148 |
+
"grad_norm": 2946.6918997559205,
|
149 |
"learning_rate": 9.669088708527066e-08,
|
150 |
+
"logits/chosen": -1.7440869808197021,
|
151 |
+
"logits/rejected": -1.6746982336044312,
|
152 |
+
"logps/chosen": -450.5009765625,
|
153 |
+
"logps/rejected": -408.64202880859375,
|
154 |
+
"loss": 0.615,
|
155 |
+
"rewards/accuracies": 0.7250000238418579,
|
156 |
+
"rewards/chosen": 1.5422661304473877,
|
157 |
+
"rewards/margins": 1.545967698097229,
|
158 |
+
"rewards/rejected": -0.003701579524204135,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.22753128555176336,
|
163 |
+
"grad_norm": 3604.7041576262422,
|
164 |
"learning_rate": 9.512212835085849e-08,
|
165 |
+
"logits/chosen": -1.7728557586669922,
|
166 |
+
"logits/rejected": -1.6836904287338257,
|
167 |
+
"logps/chosen": -424.36199951171875,
|
168 |
+
"logps/rejected": -400.8880310058594,
|
169 |
+
"loss": 0.6302,
|
170 |
+
"rewards/accuracies": 0.768750011920929,
|
171 |
+
"rewards/chosen": 1.3905924558639526,
|
172 |
+
"rewards/margins": 1.7207343578338623,
|
173 |
+
"rewards/rejected": -0.33014196157455444,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.2502844141069397,
|
178 |
+
"grad_norm": 2323.5410392013223,
|
179 |
"learning_rate": 9.326809299301306e-08,
|
180 |
+
"logits/chosen": -1.7771885395050049,
|
181 |
+
"logits/rejected": -1.6686515808105469,
|
182 |
+
"logps/chosen": -463.02960205078125,
|
183 |
+
"logps/rejected": -403.10284423828125,
|
184 |
+
"loss": 0.5955,
|
185 |
+
"rewards/accuracies": 0.668749988079071,
|
186 |
+
"rewards/chosen": 1.656102180480957,
|
187 |
+
"rewards/margins": 1.4279956817626953,
|
188 |
+
"rewards/rejected": 0.22810666263103485,
|
189 |
"step": 110
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 0.27303754266211605,
|
193 |
+
"grad_norm": 3204.4228883901383,
|
194 |
"learning_rate": 9.114050282021158e-08,
|
195 |
+
"logits/chosen": -1.765499472618103,
|
196 |
+
"logits/rejected": -1.7019010782241821,
|
197 |
+
"logps/chosen": -460.32476806640625,
|
198 |
+
"logps/rejected": -415.9939880371094,
|
199 |
+
"loss": 0.5703,
|
200 |
+
"rewards/accuracies": 0.762499988079071,
|
201 |
+
"rewards/chosen": 1.7254955768585205,
|
202 |
+
"rewards/margins": 2.0062484741210938,
|
203 |
+
"rewards/rejected": -0.280752956867218,
|
204 |
"step": 120
|
205 |
},
|
206 |
{
|
207 |
+
"epoch": 0.29579067121729236,
|
208 |
+
"grad_norm": 2041.539950600557,
|
209 |
"learning_rate": 8.875280914254802e-08,
|
210 |
+
"logits/chosen": -1.7614352703094482,
|
211 |
+
"logits/rejected": -1.666844129562378,
|
212 |
+
"logps/chosen": -416.5196228027344,
|
213 |
+
"logps/rejected": -362.18475341796875,
|
214 |
+
"loss": 0.6694,
|
215 |
+
"rewards/accuracies": 0.737500011920929,
|
216 |
+
"rewards/chosen": 1.6200507879257202,
|
217 |
+
"rewards/margins": 1.7960132360458374,
|
218 |
+
"rewards/rejected": -0.17596255242824554,
|
219 |
"step": 130
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.3185437997724687,
|
223 |
+
"grad_norm": 2554.0547403903993,
|
224 |
"learning_rate": 8.612010772821971e-08,
|
225 |
+
"logits/chosen": -1.791283369064331,
|
226 |
+
"logits/rejected": -1.7399561405181885,
|
227 |
+
"logps/chosen": -475.14630126953125,
|
228 |
+
"logps/rejected": -407.97772216796875,
|
229 |
+
"loss": 0.552,
|
230 |
+
"rewards/accuracies": 0.75,
|
231 |
+
"rewards/chosen": 2.865530490875244,
|
232 |
+
"rewards/margins": 2.030369281768799,
|
233 |
+
"rewards/rejected": 0.8351613879203796,
|
234 |
"step": 140
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 0.3412969283276451,
|
238 |
+
"grad_norm": 2569.885762906874,
|
239 |
"learning_rate": 8.325904336322055e-08,
|
240 |
+
"logits/chosen": -1.7574840784072876,
|
241 |
+
"logits/rejected": -1.6957889795303345,
|
242 |
+
"logps/chosen": -419.8956604003906,
|
243 |
+
"logps/rejected": -374.81927490234375,
|
244 |
+
"loss": 0.6146,
|
245 |
+
"rewards/accuracies": 0.699999988079071,
|
246 |
+
"rewards/chosen": 2.1974282264709473,
|
247 |
+
"rewards/margins": 1.7128820419311523,
|
248 |
+
"rewards/rejected": 0.48454588651657104,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.3640500568828214,
|
253 |
+
"grad_norm": 1870.9610749832216,
|
254 |
"learning_rate": 8.01877046176447e-08,
|
255 |
+
"logits/chosen": -1.704718828201294,
|
256 |
+
"logits/rejected": -1.627812147140503,
|
257 |
+
"logps/chosen": -406.99969482421875,
|
258 |
+
"logps/rejected": -368.83868408203125,
|
259 |
+
"loss": 0.6199,
|
260 |
+
"rewards/accuracies": 0.737500011920929,
|
261 |
+
"rewards/chosen": 1.4749443531036377,
|
262 |
+
"rewards/margins": 1.6785873174667358,
|
263 |
+
"rewards/rejected": -0.20364296436309814,
|
264 |
"step": 160
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 0.38680318543799774,
|
268 |
+
"grad_norm": 1849.2938090361138,
|
269 |
"learning_rate": 7.692550948392249e-08,
|
270 |
+
"logits/chosen": -1.767721176147461,
|
271 |
+
"logits/rejected": -1.6935087442398071,
|
272 |
+
"logps/chosen": -438.52667236328125,
|
273 |
+
"logps/rejected": -380.55413818359375,
|
274 |
+
"loss": 0.6083,
|
275 |
+
"rewards/accuracies": 0.675000011920929,
|
276 |
+
"rewards/chosen": 2.3597300052642822,
|
277 |
+
"rewards/margins": 1.7874879837036133,
|
278 |
+
"rewards/rejected": 0.5722419023513794,
|
279 |
"step": 170
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 0.40955631399317405,
|
283 |
+
"grad_norm": 2648.5827284102115,
|
284 |
"learning_rate": 7.349308261002021e-08,
|
285 |
+
"logits/chosen": -1.719022512435913,
|
286 |
+
"logits/rejected": -1.6547473669052124,
|
287 |
+
"logps/chosen": -448.7548828125,
|
288 |
+
"logps/rejected": -404.3783264160156,
|
289 |
+
"loss": 0.6855,
|
290 |
+
"rewards/accuracies": 0.737500011920929,
|
291 |
+
"rewards/chosen": 2.634617328643799,
|
292 |
+
"rewards/margins": 1.7329174280166626,
|
293 |
+
"rewards/rejected": 0.9016996622085571,
|
294 |
"step": 180
|
295 |
},
|
296 |
{
|
297 |
+
"epoch": 0.4323094425483504,
|
298 |
+
"grad_norm": 2073.609691895701,
|
299 |
"learning_rate": 6.991212490377531e-08,
|
300 |
+
"logits/chosen": -1.7709083557128906,
|
301 |
+
"logits/rejected": -1.7132765054702759,
|
302 |
+
"logps/chosen": -477.26641845703125,
|
303 |
+
"logps/rejected": -415.4395446777344,
|
304 |
+
"loss": 0.7128,
|
305 |
+
"rewards/accuracies": 0.7875000238418579,
|
306 |
+
"rewards/chosen": 1.1506327390670776,
|
307 |
+
"rewards/margins": 1.991530179977417,
|
308 |
+
"rewards/rejected": -0.8408973813056946,
|
309 |
"step": 190
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 0.4550625711035267,
|
313 |
+
"grad_norm": 3176.161253146297,
|
314 |
"learning_rate": 6.620527633276978e-08,
|
315 |
+
"logits/chosen": -1.7090890407562256,
|
316 |
+
"logits/rejected": -1.6279356479644775,
|
317 |
+
"logps/chosen": -435.232666015625,
|
318 |
+
"logps/rejected": -401.6995544433594,
|
319 |
+
"loss": 0.6138,
|
320 |
+
"rewards/accuracies": 0.762499988079071,
|
321 |
+
"rewards/chosen": 1.711168646812439,
|
322 |
+
"rewards/margins": 2.3881287574768066,
|
323 |
+
"rewards/rejected": -0.6769603490829468,
|
324 |
"step": 200
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 0.4778156996587031,
|
328 |
+
"grad_norm": 2116.394638213222,
|
329 |
"learning_rate": 6.239597278716581e-08,
|
330 |
+
"logits/chosen": -1.7814315557479858,
|
331 |
+
"logits/rejected": -1.7139074802398682,
|
332 |
+
"logps/chosen": -423.193115234375,
|
333 |
+
"logps/rejected": -367.2490539550781,
|
334 |
+
"loss": 0.545,
|
335 |
+
"rewards/accuracies": 0.75,
|
336 |
+
"rewards/chosen": 1.9342952966690063,
|
337 |
+
"rewards/margins": 2.303255796432495,
|
338 |
+
"rewards/rejected": -0.3689606785774231,
|
339 |
"step": 210
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 0.5005688282138794,
|
343 |
+
"grad_norm": 2816.6422041241376,
|
344 |
"learning_rate": 5.8508297910462456e-08,
|
345 |
+
"logits/chosen": -1.7332464456558228,
|
346 |
+
"logits/rejected": -1.6482226848602295,
|
347 |
+
"logps/chosen": -419.59423828125,
|
348 |
+
"logps/rejected": -390.67681884765625,
|
349 |
+
"loss": 0.598,
|
350 |
+
"rewards/accuracies": 0.831250011920929,
|
351 |
+
"rewards/chosen": 1.980918288230896,
|
352 |
+
"rewards/margins": 2.782224655151367,
|
353 |
+
"rewards/rejected": -0.8013065457344055,
|
354 |
"step": 220
|
355 |
},
|
356 |
{
|
357 |
+
"epoch": 0.5233219567690558,
|
358 |
+
"grad_norm": 4902.899944638479,
|
359 |
"learning_rate": 5.456683083494731e-08,
|
360 |
+
"logits/chosen": -1.7302262783050537,
|
361 |
+
"logits/rejected": -1.6885974407196045,
|
362 |
+
"logps/chosen": -477.3504943847656,
|
363 |
+
"logps/rejected": -448.8739318847656,
|
364 |
+
"loss": 0.6141,
|
365 |
+
"rewards/accuracies": 0.731249988079071,
|
366 |
+
"rewards/chosen": 1.3040168285369873,
|
367 |
+
"rewards/margins": 1.832013726234436,
|
368 |
+
"rewards/rejected": -0.527996838092804,
|
369 |
"step": 230
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 0.5460750853242321,
|
373 |
+
"grad_norm": 5130.479717563698,
|
374 |
"learning_rate": 5.059649078450834e-08,
|
375 |
+
"logits/chosen": -1.7282073497772217,
|
376 |
+
"logits/rejected": -1.6770431995391846,
|
377 |
+
"logps/chosen": -436.76788330078125,
|
378 |
+
"logps/rejected": -412.71893310546875,
|
379 |
+
"loss": 0.554,
|
380 |
+
"rewards/accuracies": 0.793749988079071,
|
381 |
+
"rewards/chosen": 1.4624868631362915,
|
382 |
+
"rewards/margins": 2.158628225326538,
|
383 |
+
"rewards/rejected": -0.696141242980957,
|
384 |
"step": 240
|
385 |
},
|
386 |
{
|
387 |
+
"epoch": 0.5688282138794084,
|
388 |
+
"grad_norm": 1909.2473147410115,
|
389 |
"learning_rate": 4.6622379527277186e-08,
|
390 |
+
"logits/chosen": -1.7340736389160156,
|
391 |
+
"logits/rejected": -1.6779124736785889,
|
392 |
+
"logps/chosen": -397.98602294921875,
|
393 |
+
"logps/rejected": -363.1806335449219,
|
394 |
+
"loss": 0.5418,
|
395 |
"rewards/accuracies": 0.7124999761581421,
|
396 |
+
"rewards/chosen": 1.2276204824447632,
|
397 |
+
"rewards/margins": 1.8878930807113647,
|
398 |
+
"rewards/rejected": -0.6602726578712463,
|
399 |
"step": 250
|
400 |
},
|
401 |
{
|
402 |
+
"epoch": 0.5915813424345847,
|
403 |
+
"grad_norm": 3341.9896511224047,
|
404 |
"learning_rate": 4.26696226741691e-08,
|
405 |
+
"logits/chosen": -1.7472769021987915,
|
406 |
+
"logits/rejected": -1.6690517663955688,
|
407 |
+
"logps/chosen": -431.0550231933594,
|
408 |
+
"logps/rejected": -389.91729736328125,
|
409 |
+
"loss": 0.5596,
|
410 |
+
"rewards/accuracies": 0.7875000238418579,
|
411 |
+
"rewards/chosen": 1.1272859573364258,
|
412 |
+
"rewards/margins": 1.6952396631240845,
|
413 |
+
"rewards/rejected": -0.5679537653923035,
|
414 |
"step": 260
|
415 |
},
|
416 |
{
|
417 |
+
"epoch": 0.6143344709897611,
|
418 |
+
"grad_norm": 2341.4958744103656,
|
419 |
"learning_rate": 3.876321082668098e-08,
|
420 |
+
"logits/chosen": -1.808306097984314,
|
421 |
+
"logits/rejected": -1.7300828695297241,
|
422 |
+
"logps/chosen": -461.818359375,
|
423 |
+
"logps/rejected": -413.60040283203125,
|
424 |
+
"loss": 0.5324,
|
425 |
+
"rewards/accuracies": 0.768750011920929,
|
426 |
+
"rewards/chosen": 1.8372154235839844,
|
427 |
+
"rewards/margins": 2.2021522521972656,
|
428 |
+
"rewards/rejected": -0.36493679881095886,
|
429 |
"step": 270
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 0.6370875995449374,
|
433 |
+
"grad_norm": 3913.185491878204,
|
434 |
"learning_rate": 3.492784157826244e-08,
|
435 |
+
"logits/chosen": -1.7311302423477173,
|
436 |
+
"logits/rejected": -1.6296806335449219,
|
437 |
+
"logps/chosen": -445.4042053222656,
|
438 |
+
"logps/rejected": -377.4632568359375,
|
439 |
+
"loss": 0.714,
|
440 |
+
"rewards/accuracies": 0.8125,
|
441 |
+
"rewards/chosen": 1.9863967895507812,
|
442 |
+
"rewards/margins": 2.4581451416015625,
|
443 |
+
"rewards/rejected": -0.47174835205078125,
|
444 |
"step": 280
|
445 |
},
|
446 |
{
|
447 |
+
"epoch": 0.6598407281001137,
|
448 |
+
"grad_norm": 2536.8509305796933,
|
449 |
"learning_rate": 3.118776336817812e-08,
|
450 |
+
"logits/chosen": -1.7828449010849,
|
451 |
+
"logits/rejected": -1.7099231481552124,
|
452 |
+
"logps/chosen": -436.8643493652344,
|
453 |
+
"logps/rejected": -380.64483642578125,
|
454 |
+
"loss": 0.6404,
|
455 |
+
"rewards/accuracies": 0.800000011920929,
|
456 |
+
"rewards/chosen": 2.214547634124756,
|
457 |
+
"rewards/margins": 2.1427664756774902,
|
458 |
+
"rewards/rejected": 0.0717814713716507,
|
459 |
"step": 290
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 0.6825938566552902,
|
463 |
+
"grad_norm": 4257.034541972718,
|
464 |
"learning_rate": 2.7566622175067443e-08,
|
465 |
+
"logits/chosen": -1.7593892812728882,
|
466 |
+
"logits/rejected": -1.688314437866211,
|
467 |
+
"logps/chosen": -432.97064208984375,
|
468 |
+
"logps/rejected": -396.4273376464844,
|
469 |
+
"loss": 0.6727,
|
470 |
+
"rewards/accuracies": 0.78125,
|
471 |
+
"rewards/chosen": 2.487614870071411,
|
472 |
+
"rewards/margins": 2.1342551708221436,
|
473 |
+
"rewards/rejected": 0.3533596992492676,
|
474 |
"step": 300
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 0.7053469852104665,
|
478 |
+
"grad_norm": 2159.6702091791217,
|
479 |
"learning_rate": 2.408731201945432e-08,
|
480 |
+
"logits/chosen": -1.75957453250885,
|
481 |
+
"logits/rejected": -1.709562063217163,
|
482 |
+
"logps/chosen": -429.00360107421875,
|
483 |
+
"logps/rejected": -413.32177734375,
|
484 |
+
"loss": 0.5967,
|
485 |
+
"rewards/accuracies": 0.78125,
|
486 |
+
"rewards/chosen": 2.035928249359131,
|
487 |
+
"rewards/margins": 1.6749908924102783,
|
488 |
+
"rewards/rejected": 0.36093729734420776,
|
489 |
"step": 310
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 0.7281001137656428,
|
493 |
+
"grad_norm": 4478.383858957151,
|
494 |
"learning_rate": 2.0771830220378112e-08,
|
495 |
+
"logits/chosen": -1.7119019031524658,
|
496 |
+
"logits/rejected": -1.6519428491592407,
|
497 |
+
"logps/chosen": -457.98175048828125,
|
498 |
+
"logps/rejected": -420.1382751464844,
|
499 |
+
"loss": 0.5886,
|
500 |
+
"rewards/accuracies": 0.7437499761581421,
|
501 |
+
"rewards/chosen": 1.8383922576904297,
|
502 |
+
"rewards/margins": 1.8084253072738647,
|
503 |
+
"rewards/rejected": 0.02996676042675972,
|
504 |
"step": 320
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 0.7508532423208191,
|
508 |
+
"grad_norm": 2972.164463500601,
|
509 |
"learning_rate": 1.7641138321260257e-08,
|
510 |
+
"logits/chosen": -1.7484897375106812,
|
511 |
+
"logits/rejected": -1.670183539390564,
|
512 |
+
"logps/chosen": -432.33966064453125,
|
513 |
+
"logps/rejected": -376.2579650878906,
|
514 |
+
"loss": 0.5475,
|
515 |
+
"rewards/accuracies": 0.824999988079071,
|
516 |
+
"rewards/chosen": 2.154627799987793,
|
517 |
+
"rewards/margins": 2.4997963905334473,
|
518 |
+
"rewards/rejected": -0.34516826272010803,
|
519 |
"step": 330
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 0.7736063708759955,
|
523 |
+
"grad_norm": 2288.763315736693,
|
524 |
"learning_rate": 1.4715029564277793e-08,
|
525 |
+
"logits/chosen": -1.8215715885162354,
|
526 |
+
"logits/rejected": -1.7631429433822632,
|
527 |
+
"logps/chosen": -448.9734802246094,
|
528 |
+
"logps/rejected": -402.9405822753906,
|
529 |
+
"loss": 0.5402,
|
530 |
+
"rewards/accuracies": 0.71875,
|
531 |
+
"rewards/chosen": 2.042846202850342,
|
532 |
+
"rewards/margins": 1.9576542377471924,
|
533 |
+
"rewards/rejected": 0.08519164472818375,
|
534 |
"step": 340
|
535 |
},
|
536 |
{
|
537 |
+
"epoch": 0.7963594994311718,
|
538 |
+
"grad_norm": 2817.482587758628,
|
539 |
"learning_rate": 1.2012003751113343e-08,
|
540 |
+
"logits/chosen": -1.8010448217391968,
|
541 |
+
"logits/rejected": -1.7336769104003906,
|
542 |
+
"logps/chosen": -433.62738037109375,
|
543 |
+
"logps/rejected": -396.10821533203125,
|
544 |
+
"loss": 0.4871,
|
545 |
+
"rewards/accuracies": 0.78125,
|
546 |
+
"rewards/chosen": 1.7786489725112915,
|
547 |
+
"rewards/margins": 2.2586090564727783,
|
548 |
+
"rewards/rejected": -0.47995972633361816,
|
549 |
"step": 350
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 0.8191126279863481,
|
553 |
+
"grad_norm": 2893.893774716542,
|
554 |
"learning_rate": 9.549150281252633e-09,
|
555 |
+
"logits/chosen": -1.7686980962753296,
|
556 |
+
"logits/rejected": -1.7077505588531494,
|
557 |
+
"logps/chosen": -459.77239990234375,
|
558 |
+
"logps/rejected": -415.1337890625,
|
559 |
+
"loss": 0.5747,
|
560 |
+
"rewards/accuracies": 0.75,
|
561 |
+
"rewards/chosen": 2.2342071533203125,
|
562 |
+
"rewards/margins": 1.9730135202407837,
|
563 |
+
"rewards/rejected": 0.2611936926841736,
|
564 |
"step": 360
|
565 |
},
|
566 |
{
|
567 |
+
"epoch": 0.8418657565415245,
|
568 |
+
"grad_norm": 2035.2633008736568,
|
569 |
"learning_rate": 7.3420401072985306e-09,
|
570 |
+
"logits/chosen": -1.7992585897445679,
|
571 |
+
"logits/rejected": -1.7426245212554932,
|
572 |
+
"logps/chosen": -434.25457763671875,
|
573 |
+
"logps/rejected": -402.511962890625,
|
574 |
+
"loss": 0.5722,
|
575 |
+
"rewards/accuracies": 0.768750011920929,
|
576 |
+
"rewards/chosen": 2.3749587535858154,
|
577 |
+
"rewards/margins": 2.13959002494812,
|
578 |
+
"rewards/rejected": 0.23536887764930725,
|
579 |
"step": 370
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 0.8646188850967008,
|
583 |
+
"grad_norm": 2185.073098497136,
|
584 |
"learning_rate": 5.404627290395369e-09,
|
585 |
+
"logits/chosen": -1.7635869979858398,
|
586 |
+
"logits/rejected": -1.69329035282135,
|
587 |
+
"logps/chosen": -439.9053649902344,
|
588 |
+
"logps/rejected": -400.70074462890625,
|
589 |
+
"loss": 0.6333,
|
590 |
+
"rewards/accuracies": 0.8125,
|
591 |
+
"rewards/chosen": 2.4813942909240723,
|
592 |
+
"rewards/margins": 2.198753833770752,
|
593 |
+
"rewards/rejected": 0.2826406955718994,
|
594 |
"step": 380
|
595 |
},
|
596 |
{
|
597 |
+
"epoch": 0.8873720136518771,
|
598 |
+
"grad_norm": 3553.679444582505,
|
599 |
"learning_rate": 3.74916077816162e-09,
|
600 |
+
"logits/chosen": -1.774793267250061,
|
601 |
+
"logits/rejected": -1.7063766717910767,
|
602 |
+
"logps/chosen": -419.1651306152344,
|
603 |
+
"logps/rejected": -378.5888671875,
|
604 |
+
"loss": 0.5591,
|
605 |
+
"rewards/accuracies": 0.699999988079071,
|
606 |
+
"rewards/chosen": 2.019554615020752,
|
607 |
+
"rewards/margins": 1.7918205261230469,
|
608 |
+
"rewards/rejected": 0.22773392498493195,
|
609 |
"step": 390
|
610 |
},
|
611 |
{
|
612 |
+
"epoch": 0.9101251422070534,
|
613 |
+
"grad_norm": 1943.3403398028058,
|
614 |
"learning_rate": 2.386106962899165e-09,
|
615 |
+
"logits/chosen": -1.6973623037338257,
|
616 |
+
"logits/rejected": -1.6196067333221436,
|
617 |
+
"logps/chosen": -424.16998291015625,
|
618 |
+
"logps/rejected": -377.53851318359375,
|
619 |
+
"loss": 0.5123,
|
620 |
+
"rewards/accuracies": 0.768750011920929,
|
621 |
+
"rewards/chosen": 1.7794551849365234,
|
622 |
+
"rewards/margins": 2.069586992263794,
|
623 |
+
"rewards/rejected": -0.2901318371295929,
|
624 |
"step": 400
|
625 |
},
|
626 |
{
|
627 |
+
"epoch": 0.9328782707622298,
|
628 |
+
"grad_norm": 3047.206047019034,
|
629 |
"learning_rate": 1.3240835096913706e-09,
|
630 |
+
"logits/chosen": -1.7308810949325562,
|
631 |
+
"logits/rejected": -1.619262456893921,
|
632 |
+
"logps/chosen": -433.6739196777344,
|
633 |
+
"logps/rejected": -376.218505859375,
|
634 |
+
"loss": 0.6337,
|
635 |
+
"rewards/accuracies": 0.762499988079071,
|
636 |
+
"rewards/chosen": 2.662471294403076,
|
637 |
+
"rewards/margins": 2.294875144958496,
|
638 |
+
"rewards/rejected": 0.36759620904922485,
|
639 |
"step": 410
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 0.9556313993174061,
|
643 |
+
"grad_norm": 2161.402141420211,
|
644 |
"learning_rate": 5.698048727497462e-10,
|
645 |
+
"logits/chosen": -1.7543413639068604,
|
646 |
+
"logits/rejected": -1.6781110763549805,
|
647 |
+
"logps/chosen": -410.76763916015625,
|
648 |
+
"logps/rejected": -371.71697998046875,
|
649 |
+
"loss": 0.5539,
|
650 |
+
"rewards/accuracies": 0.762499988079071,
|
651 |
+
"rewards/chosen": 2.3121988773345947,
|
652 |
+
"rewards/margins": 2.288635015487671,
|
653 |
+
"rewards/rejected": 0.02356356382369995,
|
654 |
"step": 420
|
655 |
},
|
656 |
{
|
657 |
+
"epoch": 0.9783845278725825,
|
658 |
+
"grad_norm": 2190.386640999091,
|
659 |
"learning_rate": 1.2803984447259387e-10,
|
660 |
+
"logits/chosen": -1.7616386413574219,
|
661 |
+
"logits/rejected": -1.6976215839385986,
|
662 |
+
"logps/chosen": -461.20989990234375,
|
663 |
+
"logps/rejected": -398.564453125,
|
664 |
+
"loss": 0.5426,
|
665 |
+
"rewards/accuracies": 0.7749999761581421,
|
666 |
+
"rewards/chosen": 2.1613998413085938,
|
667 |
+
"rewards/margins": 2.0676867961883545,
|
668 |
+
"rewards/rejected": 0.09371300041675568,
|
669 |
"step": 430
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 0.9988623435722411,
|
673 |
"step": 439,
|
674 |
"total_flos": 0.0,
|
675 |
+
"train_loss": 0.6069056124241857,
|
676 |
+
"train_runtime": 7568.165,
|
677 |
+
"train_samples_per_second": 7.431,
|
678 |
+
"train_steps_per_second": 0.058
|
679 |
}
|
680 |
],
|
681 |
"logging_steps": 10,
|
|
|
683 |
"num_input_tokens_seen": 0,
|
684 |
"num_train_epochs": 1,
|
685 |
"save_steps": 100,
|
686 |
+
"stateful_callbacks": {
|
687 |
+
"TrainerControl": {
|
688 |
+
"args": {
|
689 |
+
"should_epoch_stop": false,
|
690 |
+
"should_evaluate": false,
|
691 |
+
"should_log": false,
|
692 |
+
"should_save": true,
|
693 |
+
"should_training_stop": false
|
694 |
+
},
|
695 |
+
"attributes": {}
|
696 |
+
}
|
697 |
+
},
|
698 |
"total_flos": 0.0,
|
699 |
"train_batch_size": 4,
|
700 |
"trial_name": null,
|