Model save
Browse files- README.md +12 -12
- all_results.json +3 -3
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/May13_02-49-38_n136-129-074/events.out.tfevents.1715539917.n136-129-074.1607405.0 +2 -2
- train_results.json +3 -3
- trainer_state.json +508 -508
README.md
CHANGED
@@ -15,15 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model was trained from scratch on the None dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 1.
|
19 |
-
- Rewards/chosen:
|
20 |
-
- Rewards/rejected: -
|
21 |
- Rewards/accuracies: 0.9141
|
22 |
-
- Rewards/margins:
|
23 |
-
- Logps/rejected: -113.
|
24 |
-
- Logps/chosen: -
|
25 |
-
- Logits/rejected: -1.
|
26 |
-
- Logits/chosen: -1.
|
27 |
|
28 |
## Model description
|
29 |
|
@@ -60,10 +60,10 @@ The following hyperparameters were used during training:
|
|
60 |
|
61 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
62 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
63 |
-
|
|
64 |
-
|
|
65 |
-
|
|
66 |
-
|
|
67 |
|
68 |
|
69 |
### Framework versions
|
|
|
15 |
|
16 |
This model was trained from scratch on the None dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.1371
|
19 |
+
- Rewards/chosen: 66.3125
|
20 |
+
- Rewards/rejected: -100.6467
|
21 |
- Rewards/accuracies: 0.9141
|
22 |
+
- Rewards/margins: 166.9592
|
23 |
+
- Logps/rejected: -113.3701
|
24 |
+
- Logps/chosen: -124.5098
|
25 |
+
- Logits/rejected: -1.8571
|
26 |
+
- Logits/chosen: -1.8597
|
27 |
|
28 |
## Model description
|
29 |
|
|
|
60 |
|
61 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
62 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
63 |
+
| 0.6626 | 0.21 | 100 | 0.5381 | 56.0335 | -58.2668 | 0.9102 | 114.3003 | -104.8941 | -126.5656 | -1.6835 | -1.7107 |
|
64 |
+
| 1.1228 | 0.42 | 200 | 1.1297 | 60.4518 | -88.4985 | 0.9180 | 148.9503 | -110.9404 | -125.6819 | -1.8447 | -1.8541 |
|
65 |
+
| 1.2322 | 0.63 | 300 | 1.2523 | 64.1872 | -102.3396 | 0.9062 | 166.5267 | -113.7086 | -124.9348 | -1.8498 | -1.8521 |
|
66 |
+
| 1.4879 | 0.84 | 400 | 1.1371 | 66.3125 | -100.6467 | 0.9141 | 166.9592 | -113.3701 | -124.5098 | -1.8571 | -1.8597 |
|
67 |
|
68 |
|
69 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 61135,
|
6 |
-
"train_samples_per_second": 8.
|
7 |
"train_steps_per_second": 0.063
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 1.062665213600861,
|
4 |
+
"train_runtime": 7601.7683,
|
5 |
"train_samples": 61135,
|
6 |
+
"train_samples_per_second": 8.042,
|
7 |
"train_steps_per_second": 0.063
|
8 |
}
|
model-00001-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4943178720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fe1a3e7a2a4c6a66a6f58926332daee7422cda7b9e7d7aa07091325ca1e94ae4
|
3 |
size 4943178720
|
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 sha256:0dd5de183ba55c5f2a8d4dcb509d10948b9ab488df711d7e5cb9b3e390556ab2
|
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 4540532728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d5a971888b2ed0069780a300a1ffbd4cb492968dfdc603b3d6a5133707abbe59
|
3 |
size 4540532728
|
runs/May13_02-49-38_n136-129-074/events.out.tfevents.1715539917.n136-129-074.1607405.0
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 sha256:5493f7856ae817dd98cb6be2eb0be7e39b2558d2c7dc3767589919fa9cc96748
|
3 |
+
size 41075
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 61135,
|
6 |
-
"train_samples_per_second": 8.
|
7 |
"train_steps_per_second": 0.063
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 1.062665213600861,
|
4 |
+
"train_runtime": 7601.7683,
|
5 |
"train_samples": 61135,
|
6 |
+
"train_samples_per_second": 8.042,
|
7 |
"train_steps_per_second": 0.063
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,7 +10,7 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 1.0416666666666666e-08,
|
15 |
"logits/chosen": -1.689455509185791,
|
16 |
"logits/rejected": -1.4794573783874512,
|
@@ -25,780 +25,780 @@
|
|
25 |
},
|
26 |
{
|
27 |
"epoch": 0.02,
|
28 |
-
"grad_norm":
|
29 |
"learning_rate": 1.0416666666666667e-07,
|
30 |
-
"logits/chosen": -1.
|
31 |
-
"logits/rejected": -1.
|
32 |
-
"logps/chosen": -139.
|
33 |
-
"logps/rejected": -91.
|
34 |
-
"loss":
|
35 |
-
"rewards/accuracies": 0.
|
36 |
-
"rewards/chosen": 0.
|
37 |
-
"rewards/margins":
|
38 |
-
"rewards/rejected": -
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04,
|
43 |
-
"grad_norm":
|
44 |
"learning_rate": 2.0833333333333333e-07,
|
45 |
-
"logits/chosen": -1.
|
46 |
-
"logits/rejected": -1.
|
47 |
-
"logps/chosen": -131.
|
48 |
-
"logps/rejected": -93.
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen":
|
52 |
-
"rewards/margins":
|
53 |
-
"rewards/rejected": -
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
"epoch": 0.06,
|
58 |
-
"grad_norm":
|
59 |
"learning_rate": 3.1249999999999997e-07,
|
60 |
-
"logits/chosen": -1.
|
61 |
-
"logits/rejected": -1.
|
62 |
-
"logps/chosen": -133.
|
63 |
-
"logps/rejected": -103.
|
64 |
-
"loss": 0.
|
65 |
"rewards/accuracies": 0.9312499761581421,
|
66 |
-
"rewards/chosen":
|
67 |
-
"rewards/margins":
|
68 |
-
"rewards/rejected": -
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.08,
|
73 |
-
"grad_norm":
|
74 |
"learning_rate": 4.1666666666666667e-07,
|
75 |
-
"logits/chosen": -1.
|
76 |
-
"logits/rejected": -1.
|
77 |
-
"logps/chosen": -145.
|
78 |
-
"logps/rejected": -101.
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen":
|
82 |
-
"rewards/margins":
|
83 |
-
"rewards/rejected": -
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
"epoch": 0.1,
|
88 |
-
"grad_norm":
|
89 |
"learning_rate": 4.999733114418725e-07,
|
90 |
-
"logits/chosen": -1.
|
91 |
-
"logits/rejected": -1.
|
92 |
-
"logps/chosen": -127.
|
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": 0.13,
|
103 |
-
"grad_norm":
|
104 |
"learning_rate": 4.990398100856366e-07,
|
105 |
-
"logits/chosen": -1.
|
106 |
-
"logits/rejected": -1.
|
107 |
-
"logps/chosen": -141.
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
-
"rewards/accuracies": 0.
|
111 |
-
"rewards/chosen":
|
112 |
-
"rewards/margins":
|
113 |
-
"rewards/rejected": -
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.15,
|
118 |
-
"grad_norm":
|
119 |
"learning_rate": 4.967775735898179e-07,
|
120 |
-
"logits/chosen": -1.
|
121 |
-
"logits/rejected": -1.
|
122 |
-
"logps/chosen": -134.
|
123 |
-
"logps/rejected": -106.
|
124 |
-
"loss":
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen":
|
127 |
-
"rewards/margins":
|
128 |
-
"rewards/rejected": -
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.17,
|
133 |
-
"grad_norm":
|
134 |
"learning_rate": 4.931986719649298e-07,
|
135 |
-
"logits/chosen": -1.
|
136 |
-
"logits/rejected": -1.
|
137 |
-
"logps/chosen": -130.
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss":
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen":
|
142 |
-
"rewards/margins":
|
143 |
-
"rewards/rejected": -
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
"epoch": 0.19,
|
148 |
-
"grad_norm":
|
149 |
"learning_rate": 4.883222001996351e-07,
|
150 |
-
"logits/chosen": -1.
|
151 |
-
"logits/rejected": -1.
|
152 |
-
"logps/chosen": -138.
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen":
|
157 |
-
"rewards/margins":
|
158 |
-
"rewards/rejected": -
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.21,
|
163 |
-
"grad_norm":
|
164 |
"learning_rate": 4.821741763807186e-07,
|
165 |
-
"logits/chosen": -1.
|
166 |
-
"logits/rejected": -1.
|
167 |
-
"logps/chosen": -118.
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss":
|
170 |
"rewards/accuracies": 0.9125000238418579,
|
171 |
-
"rewards/chosen":
|
172 |
-
"rewards/margins":
|
173 |
-
"rewards/rejected": -
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.21,
|
178 |
-
"eval_logits/chosen": -1.
|
179 |
-
"eval_logits/rejected": -1.
|
180 |
-
"eval_logps/chosen": -
|
181 |
-
"eval_logps/rejected": -104.
|
182 |
-
"eval_loss": 0.
|
183 |
"eval_rewards/accuracies": 0.91015625,
|
184 |
-
"eval_rewards/chosen":
|
185 |
-
"eval_rewards/margins":
|
186 |
-
"eval_rewards/rejected": -
|
187 |
-
"eval_runtime":
|
188 |
-
"eval_samples_per_second": 20.
|
189 |
-
"eval_steps_per_second": 0.
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
"epoch": 0.23,
|
194 |
-
"grad_norm":
|
195 |
"learning_rate": 4.747874028753375e-07,
|
196 |
-
"logits/chosen": -1.
|
197 |
-
"logits/rejected": -1.
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -111.
|
200 |
-
"loss":
|
201 |
"rewards/accuracies": 0.8999999761581421,
|
202 |
-
"rewards/chosen":
|
203 |
-
"rewards/margins":
|
204 |
-
"rewards/rejected": -
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.25,
|
209 |
-
"grad_norm":
|
210 |
"learning_rate": 4.662012913161997e-07,
|
211 |
-
"logits/chosen": -1.
|
212 |
-
"logits/rejected": -1.
|
213 |
-
"logps/chosen": -
|
214 |
-
"logps/rejected": -112.
|
215 |
-
"loss":
|
216 |
-
"rewards/accuracies": 0.
|
217 |
-
"rewards/chosen":
|
218 |
-
"rewards/margins":
|
219 |
-
"rewards/rejected": -
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
"epoch": 0.27,
|
224 |
-
"grad_norm":
|
225 |
"learning_rate": 4.5646165232345103e-07,
|
226 |
-
"logits/chosen": -1.
|
227 |
-
"logits/rejected": -1.
|
228 |
-
"logps/chosen": -
|
229 |
-
"logps/rejected": -105.
|
230 |
-
"loss":
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen":
|
233 |
-
"rewards/margins":
|
234 |
-
"rewards/rejected": -
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.29,
|
239 |
-
"grad_norm":
|
240 |
"learning_rate": 4.456204510851956e-07,
|
241 |
-
"logits/chosen": -1.
|
242 |
-
"logits/rejected": -1.
|
243 |
-
"logps/chosen": -126.
|
244 |
-
"logps/rejected": -106.
|
245 |
-
"loss":
|
246 |
-
"rewards/accuracies": 0.
|
247 |
-
"rewards/chosen":
|
248 |
-
"rewards/margins":
|
249 |
-
"rewards/rejected": -
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
"epoch": 0.31,
|
254 |
-
"grad_norm":
|
255 |
"learning_rate": 4.337355301007335e-07,
|
256 |
-
"logits/chosen": -1.
|
257 |
-
"logits/rejected": -1.
|
258 |
-
"logps/chosen": -
|
259 |
-
"logps/rejected": -103.
|
260 |
-
"loss":
|
261 |
"rewards/accuracies": 0.9125000238418579,
|
262 |
-
"rewards/chosen":
|
263 |
-
"rewards/margins":
|
264 |
-
"rewards/rejected": -
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
"epoch": 0.33,
|
269 |
-
"grad_norm":
|
270 |
"learning_rate": 4.2087030056579986e-07,
|
271 |
-
"logits/chosen": -1.
|
272 |
-
"logits/rejected": -1.
|
273 |
-
"logps/chosen": -131.
|
274 |
-
"logps/rejected": -111.
|
275 |
-
"loss":
|
276 |
-
"rewards/accuracies": 0.
|
277 |
-
"rewards/chosen":
|
278 |
-
"rewards/margins":
|
279 |
-
"rewards/rejected": -
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
"epoch": 0.36,
|
284 |
-
"grad_norm":
|
285 |
"learning_rate": 4.070934040463998e-07,
|
286 |
-
"logits/chosen": -1.
|
287 |
-
"logits/rejected": -1.
|
288 |
-
"logps/chosen": -127.
|
289 |
-
"logps/rejected": -
|
290 |
-
"loss":
|
291 |
-
"rewards/accuracies": 0.
|
292 |
-
"rewards/chosen":
|
293 |
-
"rewards/margins":
|
294 |
-
"rewards/rejected": -
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
"epoch": 0.38,
|
299 |
-
"grad_norm":
|
300 |
"learning_rate": 3.9247834624635404e-07,
|
301 |
-
"logits/chosen": -1.
|
302 |
-
"logits/rejected": -1.
|
303 |
-
"logps/chosen": -
|
304 |
-
"logps/rejected": -106.
|
305 |
-
"loss":
|
306 |
-
"rewards/accuracies": 0.
|
307 |
-
"rewards/chosen":
|
308 |
-
"rewards/margins":
|
309 |
-
"rewards/rejected": -
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.4,
|
314 |
-
"grad_norm":
|
315 |
"learning_rate": 3.7710310482256523e-07,
|
316 |
-
"logits/chosen": -1.
|
317 |
-
"logits/rejected": -1.
|
318 |
-
"logps/chosen": -
|
319 |
-
"logps/rejected": -
|
320 |
-
"loss": 1.
|
321 |
-
"rewards/accuracies": 0.
|
322 |
-
"rewards/chosen":
|
323 |
-
"rewards/margins":
|
324 |
-
"rewards/rejected": -
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
"epoch": 0.42,
|
329 |
-
"grad_norm":
|
330 |
"learning_rate": 3.610497133404795e-07,
|
331 |
-
"logits/chosen": -1.
|
332 |
-
"logits/rejected": -1.
|
333 |
-
"logps/chosen": -126.
|
334 |
-
"logps/rejected": -
|
335 |
-
"loss":
|
336 |
"rewards/accuracies": 0.9375,
|
337 |
-
"rewards/chosen":
|
338 |
-
"rewards/margins":
|
339 |
-
"rewards/rejected": -
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
"epoch": 0.42,
|
344 |
-
"eval_logits/chosen": -1.
|
345 |
-
"eval_logits/rejected": -1.
|
346 |
-
"eval_logps/chosen": -125.
|
347 |
-
"eval_logps/rejected": -
|
348 |
-
"eval_loss": 1.
|
349 |
-
"eval_rewards/accuracies": 0.
|
350 |
-
"eval_rewards/chosen":
|
351 |
-
"eval_rewards/margins":
|
352 |
-
"eval_rewards/rejected": -
|
353 |
-
"eval_runtime": 97.
|
354 |
-
"eval_samples_per_second": 20.
|
355 |
"eval_steps_per_second": 0.328,
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.44,
|
360 |
-
"grad_norm":
|
361 |
"learning_rate": 3.4440382358952115e-07,
|
362 |
-
"logits/chosen": -1.
|
363 |
-
"logits/rejected": -1.
|
364 |
-
"logps/chosen": -122.
|
365 |
-
"logps/rejected": -103.
|
366 |
-
"loss":
|
367 |
-
"rewards/accuracies": 0.
|
368 |
-
"rewards/chosen":
|
369 |
-
"rewards/margins":
|
370 |
-
"rewards/rejected": -
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
"epoch": 0.46,
|
375 |
-
"grad_norm":
|
376 |
"learning_rate": 3.272542485937368e-07,
|
377 |
-
"logits/chosen": -1.
|
378 |
-
"logits/rejected": -1.
|
379 |
-
"logps/chosen": -124.
|
380 |
-
"logps/rejected": -103.
|
381 |
-
"loss":
|
382 |
-
"rewards/accuracies": 0.
|
383 |
-
"rewards/chosen":
|
384 |
-
"rewards/margins":
|
385 |
-
"rewards/rejected": -
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
"epoch": 0.48,
|
390 |
-
"grad_norm":
|
391 |
"learning_rate": 3.096924887558854e-07,
|
392 |
-
"logits/chosen": -1.
|
393 |
-
"logits/rejected": -1.
|
394 |
-
"logps/chosen": -135.
|
395 |
-
"logps/rejected": -119.
|
396 |
-
"loss":
|
397 |
-
"rewards/accuracies": 0.
|
398 |
-
"rewards/chosen":
|
399 |
-
"rewards/margins":
|
400 |
-
"rewards/rejected": -
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.5,
|
405 |
-
"grad_norm":
|
406 |
"learning_rate": 2.9181224366319943e-07,
|
407 |
-
"logits/chosen": -1.
|
408 |
-
"logits/rejected": -1.
|
409 |
-
"logps/chosen": -121.
|
410 |
-
"logps/rejected": -
|
411 |
-
"loss":
|
412 |
-
"rewards/accuracies": 0.
|
413 |
-
"rewards/chosen":
|
414 |
-
"rewards/margins":
|
415 |
-
"rewards/rejected": -
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
"epoch": 0.52,
|
420 |
-
"grad_norm":
|
421 |
"learning_rate": 2.7370891215954565e-07,
|
422 |
-
"logits/chosen": -1.
|
423 |
-
"logits/rejected": -1.
|
424 |
-
"logps/chosen": -125.
|
425 |
-
"logps/rejected": -
|
426 |
-
"loss":
|
427 |
-
"rewards/accuracies": 0.
|
428 |
-
"rewards/chosen":
|
429 |
-
"rewards/margins":
|
430 |
-
"rewards/rejected": -
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
"epoch": 0.54,
|
435 |
-
"grad_norm":
|
436 |
"learning_rate": 2.55479083351317e-07,
|
437 |
-
"logits/chosen": -1.
|
438 |
-
"logits/rejected": -1.
|
439 |
-
"logps/chosen": -129.
|
440 |
-
"logps/rejected": -101.
|
441 |
-
"loss":
|
442 |
-
"rewards/accuracies": 0.
|
443 |
-
"rewards/chosen":
|
444 |
-
"rewards/margins":
|
445 |
-
"rewards/rejected": -
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.56,
|
450 |
-
"grad_norm":
|
451 |
"learning_rate": 2.3722002126275822e-07,
|
452 |
-
"logits/chosen": -1.
|
453 |
-
"logits/rejected": -1.
|
454 |
-
"logps/chosen": -
|
455 |
-
"logps/rejected": -108.
|
456 |
-
"loss":
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen":
|
459 |
-
"rewards/margins":
|
460 |
-
"rewards/rejected": -
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.59,
|
465 |
-
"grad_norm":
|
466 |
"learning_rate": 2.19029145890313e-07,
|
467 |
-
"logits/chosen": -1.
|
468 |
-
"logits/rejected": -1.
|
469 |
-
"logps/chosen": -
|
470 |
-
"logps/rejected": -120.
|
471 |
-
"loss":
|
472 |
-
"rewards/accuracies": 0.
|
473 |
-
"rewards/chosen":
|
474 |
-
"rewards/margins":
|
475 |
-
"rewards/rejected": -
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
"epoch": 0.61,
|
480 |
-
"grad_norm":
|
481 |
"learning_rate": 2.0100351342479216e-07,
|
482 |
-
"logits/chosen": -1.
|
483 |
-
"logits/rejected": -1.
|
484 |
-
"logps/chosen": -116.
|
485 |
-
"logps/rejected": -
|
486 |
-
"loss":
|
487 |
-
"rewards/accuracies": 0.
|
488 |
-
"rewards/chosen":
|
489 |
-
"rewards/margins":
|
490 |
-
"rewards/rejected": -
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.63,
|
495 |
-
"grad_norm":
|
496 |
"learning_rate": 1.8323929841460178e-07,
|
497 |
-
"logits/chosen": -1.
|
498 |
-
"logits/rejected": -1.
|
499 |
-
"logps/chosen": -134.
|
500 |
-
"logps/rejected": -
|
501 |
-
"loss":
|
502 |
-
"rewards/accuracies": 0.
|
503 |
-
"rewards/chosen":
|
504 |
-
"rewards/margins":
|
505 |
-
"rewards/rejected": -
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
"epoch": 0.63,
|
510 |
-
"eval_logits/chosen": -1.
|
511 |
-
"eval_logits/rejected": -1.
|
512 |
-
"eval_logps/chosen": -124.
|
513 |
-
"eval_logps/rejected": -
|
514 |
-
"eval_loss":
|
515 |
-
"eval_rewards/accuracies": 0.
|
516 |
-
"eval_rewards/chosen":
|
517 |
-
"eval_rewards/margins":
|
518 |
-
"eval_rewards/rejected": -
|
519 |
-
"eval_runtime": 97.
|
520 |
-
"eval_samples_per_second": 20.
|
521 |
-
"eval_steps_per_second": 0.
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
"epoch": 0.65,
|
526 |
-
"grad_norm":
|
527 |
"learning_rate": 1.6583128063291573e-07,
|
528 |
-
"logits/chosen": -1.
|
529 |
-
"logits/rejected": -1.
|
530 |
-
"logps/chosen": -126.
|
531 |
-
"logps/rejected": -
|
532 |
-
"loss":
|
533 |
-
"rewards/accuracies": 0.
|
534 |
-
"rewards/chosen":
|
535 |
-
"rewards/margins":
|
536 |
-
"rewards/rejected": -
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.67,
|
541 |
-
"grad_norm":
|
542 |
"learning_rate": 1.488723393865766e-07,
|
543 |
-
"logits/chosen": -1.
|
544 |
-
"logits/rejected": -1.
|
545 |
-
"logps/chosen": -
|
546 |
-
"logps/rejected": -114.
|
547 |
-
"loss":
|
548 |
"rewards/accuracies": 0.893750011920929,
|
549 |
-
"rewards/chosen":
|
550 |
-
"rewards/margins":
|
551 |
-
"rewards/rejected": -
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
"epoch": 0.69,
|
556 |
-
"grad_norm":
|
557 |
"learning_rate": 1.3245295796480788e-07,
|
558 |
-
"logits/chosen": -1.
|
559 |
-
"logits/rejected": -1.
|
560 |
-
"logps/chosen": -
|
561 |
-
"logps/rejected": -110.
|
562 |
-
"loss":
|
563 |
-
"rewards/accuracies": 0.
|
564 |
-
"rewards/chosen":
|
565 |
-
"rewards/margins":
|
566 |
-
"rewards/rejected": -
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.71,
|
571 |
-
"grad_norm":
|
572 |
"learning_rate": 1.1666074087171627e-07,
|
573 |
-
"logits/chosen": -1.
|
574 |
-
"logits/rejected": -1.
|
575 |
-
"logps/chosen": -
|
576 |
-
"logps/rejected": -102.
|
577 |
-
"loss":
|
578 |
-
"rewards/accuracies": 0.
|
579 |
-
"rewards/chosen":
|
580 |
-
"rewards/margins":
|
581 |
-
"rewards/rejected": -
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
"epoch": 0.73,
|
586 |
-
"grad_norm":
|
587 |
"learning_rate": 1.0157994641835734e-07,
|
588 |
-
"logits/chosen": -1.
|
589 |
-
"logits/rejected": -1.
|
590 |
-
"logps/chosen": -
|
591 |
-
"logps/rejected": -121.
|
592 |
-
"loss":
|
593 |
-
"rewards/accuracies": 0.
|
594 |
-
"rewards/chosen":
|
595 |
-
"rewards/margins":
|
596 |
-
"rewards/rejected": -
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.75,
|
601 |
-
"grad_norm":
|
602 |
"learning_rate": 8.729103716819111e-08,
|
603 |
-
"logits/chosen": -1.
|
604 |
-
"logits/rejected": -1.
|
605 |
-
"logps/chosen": -126.
|
606 |
-
"logps/rejected": -117.
|
607 |
-
"loss": 1.
|
608 |
-
"rewards/accuracies": 0.
|
609 |
-
"rewards/chosen":
|
610 |
-
"rewards/margins":
|
611 |
-
"rewards/rejected": -
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
"epoch": 0.77,
|
616 |
-
"grad_norm":
|
617 |
"learning_rate": 7.387025063449081e-08,
|
618 |
-
"logits/chosen": -1.
|
619 |
-
"logits/rejected": -1.
|
620 |
-
"logps/chosen": -
|
621 |
-
"logps/rejected": -107.
|
622 |
-
"loss":
|
623 |
"rewards/accuracies": 0.8999999761581421,
|
624 |
-
"rewards/chosen":
|
625 |
-
"rewards/margins":
|
626 |
-
"rewards/rejected": -
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
"epoch": 0.79,
|
631 |
-
"grad_norm":
|
632 |
"learning_rate": 6.138919252022435e-08,
|
633 |
-
"logits/chosen": -1.
|
634 |
-
"logits/rejected": -1.
|
635 |
-
"logps/chosen": -
|
636 |
-
"logps/rejected": -118.
|
637 |
-
"loss":
|
638 |
-
"rewards/accuracies": 0.
|
639 |
-
"rewards/chosen":
|
640 |
-
"rewards/margins":
|
641 |
-
"rewards/rejected": -
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
"epoch": 0.82,
|
646 |
-
"grad_norm":
|
647 |
"learning_rate": 4.991445467064689e-08,
|
648 |
-
"logits/chosen": -1.
|
649 |
-
"logits/rejected": -1.
|
650 |
-
"logps/chosen": -119.
|
651 |
-
"logps/rejected": -109.
|
652 |
-
"loss":
|
653 |
"rewards/accuracies": 0.956250011920929,
|
654 |
-
"rewards/chosen":
|
655 |
-
"rewards/margins":
|
656 |
-
"rewards/rejected": -
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
"epoch": 0.84,
|
661 |
-
"grad_norm":
|
662 |
"learning_rate": 3.9507259776993954e-08,
|
663 |
-
"logits/chosen": -1.
|
664 |
-
"logits/rejected": -1.
|
665 |
-
"logps/chosen": -122.
|
666 |
-
"logps/rejected": -110.
|
667 |
-
"loss":
|
668 |
"rewards/accuracies": 0.893750011920929,
|
669 |
-
"rewards/chosen":
|
670 |
-
"rewards/margins":
|
671 |
-
"rewards/rejected": -
|
672 |
"step": 400
|
673 |
},
|
674 |
{
|
675 |
"epoch": 0.84,
|
676 |
-
"eval_logits/chosen": -1.
|
677 |
-
"eval_logits/rejected": -1.
|
678 |
-
"eval_logps/chosen": -
|
679 |
-
"eval_logps/rejected": -113.
|
680 |
-
"eval_loss": 1.
|
681 |
"eval_rewards/accuracies": 0.9140625,
|
682 |
-
"eval_rewards/chosen":
|
683 |
-
"eval_rewards/margins":
|
684 |
-
"eval_rewards/rejected": -
|
685 |
-
"eval_runtime": 97.
|
686 |
-
"eval_samples_per_second": 20.
|
687 |
-
"eval_steps_per_second": 0.
|
688 |
"step": 400
|
689 |
},
|
690 |
{
|
691 |
"epoch": 0.86,
|
692 |
-
"grad_norm":
|
693 |
"learning_rate": 3.022313472693447e-08,
|
694 |
-
"logits/chosen": -1.
|
695 |
-
"logits/rejected": -1.
|
696 |
-
"logps/chosen": -
|
697 |
-
"logps/rejected": -
|
698 |
-
"loss":
|
699 |
-
"rewards/accuracies": 0.
|
700 |
-
"rewards/chosen":
|
701 |
-
"rewards/margins":
|
702 |
-
"rewards/rejected": -
|
703 |
"step": 410
|
704 |
},
|
705 |
{
|
706 |
"epoch": 0.88,
|
707 |
-
"grad_norm":
|
708 |
"learning_rate": 2.2111614344599684e-08,
|
709 |
-
"logits/chosen": -1.
|
710 |
-
"logits/rejected": -1.
|
711 |
-
"logps/chosen": -
|
712 |
-
"logps/rejected": -109.
|
713 |
-
"loss": 1.
|
714 |
-
"rewards/accuracies": 0.
|
715 |
-
"rewards/chosen":
|
716 |
-
"rewards/margins":
|
717 |
-
"rewards/rejected": -
|
718 |
"step": 420
|
719 |
},
|
720 |
{
|
721 |
"epoch": 0.9,
|
722 |
-
"grad_norm":
|
723 |
"learning_rate": 1.521597710086439e-08,
|
724 |
-
"logits/chosen": -1.
|
725 |
-
"logits/rejected": -1.
|
726 |
-
"logps/chosen": -
|
727 |
-
"logps/rejected": -109.
|
728 |
-
"loss":
|
729 |
-
"rewards/accuracies": 0.
|
730 |
-
"rewards/chosen":
|
731 |
-
"rewards/margins":
|
732 |
-
"rewards/rejected": -
|
733 |
"step": 430
|
734 |
},
|
735 |
{
|
736 |
"epoch": 0.92,
|
737 |
-
"grad_norm":
|
738 |
"learning_rate": 9.57301420397924e-09,
|
739 |
-
"logits/chosen": -1.
|
740 |
-
"logits/rejected": -1.
|
741 |
-
"logps/chosen": -125.
|
742 |
-
"logps/rejected": -113.
|
743 |
-
"loss":
|
744 |
"rewards/accuracies": 0.949999988079071,
|
745 |
-
"rewards/chosen":
|
746 |
-
"rewards/margins":
|
747 |
-
"rewards/rejected": -
|
748 |
"step": 440
|
749 |
},
|
750 |
{
|
751 |
"epoch": 0.94,
|
752 |
-
"grad_norm":
|
753 |
"learning_rate": 5.212833302556258e-09,
|
754 |
-
"logits/chosen": -1.
|
755 |
-
"logits/rejected": -1.
|
756 |
-
"logps/chosen": -
|
757 |
-
"logps/rejected": -108.
|
758 |
-
"loss":
|
759 |
-
"rewards/accuracies": 0.
|
760 |
-
"rewards/chosen":
|
761 |
-
"rewards/margins":
|
762 |
-
"rewards/rejected": -
|
763 |
"step": 450
|
764 |
},
|
765 |
{
|
766 |
"epoch": 0.96,
|
767 |
-
"grad_norm":
|
768 |
"learning_rate": 2.158697848236607e-09,
|
769 |
-
"logits/chosen": -1.
|
770 |
-
"logits/rejected": -1.
|
771 |
-
"logps/chosen": -
|
772 |
-
"logps/rejected": -113.
|
773 |
-
"loss": 1.
|
774 |
-
"rewards/accuracies": 0.
|
775 |
-
"rewards/chosen":
|
776 |
-
"rewards/margins":
|
777 |
-
"rewards/rejected": -
|
778 |
"step": 460
|
779 |
},
|
780 |
{
|
781 |
"epoch": 0.98,
|
782 |
-
"grad_norm":
|
783 |
"learning_rate": 4.269029751107489e-10,
|
784 |
-
"logits/chosen": -1.
|
785 |
-
"logits/rejected": -1.
|
786 |
-
"logps/chosen": -
|
787 |
-
"logps/rejected": -
|
788 |
-
"loss":
|
789 |
"rewards/accuracies": 0.893750011920929,
|
790 |
-
"rewards/chosen":
|
791 |
-
"rewards/margins":
|
792 |
-
"rewards/rejected": -
|
793 |
"step": 470
|
794 |
},
|
795 |
{
|
796 |
"epoch": 1.0,
|
797 |
"step": 478,
|
798 |
"total_flos": 0.0,
|
799 |
-
"train_loss":
|
800 |
-
"train_runtime":
|
801 |
-
"train_samples_per_second": 8.
|
802 |
"train_steps_per_second": 0.063
|
803 |
}
|
804 |
],
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"grad_norm": 21942.443210763005,
|
14 |
"learning_rate": 1.0416666666666666e-08,
|
15 |
"logits/chosen": -1.689455509185791,
|
16 |
"logits/rejected": -1.4794573783874512,
|
|
|
25 |
},
|
26 |
{
|
27 |
"epoch": 0.02,
|
28 |
+
"grad_norm": 14077.432213077995,
|
29 |
"learning_rate": 1.0416666666666667e-07,
|
30 |
+
"logits/chosen": -1.7074503898620605,
|
31 |
+
"logits/rejected": -1.609968662261963,
|
32 |
+
"logps/chosen": -139.67112731933594,
|
33 |
+
"logps/rejected": -91.38861083984375,
|
34 |
+
"loss": 1.4419,
|
35 |
+
"rewards/accuracies": 0.4791666567325592,
|
36 |
+
"rewards/chosen": 0.2587200403213501,
|
37 |
+
"rewards/margins": 0.7212592959403992,
|
38 |
+
"rewards/rejected": -0.4625391960144043,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04,
|
43 |
+
"grad_norm": 5354.815788154259,
|
44 |
"learning_rate": 2.0833333333333333e-07,
|
45 |
+
"logits/chosen": -1.6398289203643799,
|
46 |
+
"logits/rejected": -1.6472053527832031,
|
47 |
+
"logps/chosen": -131.20123291015625,
|
48 |
+
"logps/rejected": -93.73577880859375,
|
49 |
+
"loss": 0.5235,
|
50 |
+
"rewards/accuracies": 0.793749988079071,
|
51 |
+
"rewards/chosen": 7.366933345794678,
|
52 |
+
"rewards/margins": 9.627552032470703,
|
53 |
+
"rewards/rejected": -2.260619640350342,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
"epoch": 0.06,
|
58 |
+
"grad_norm": 7510.038946129227,
|
59 |
"learning_rate": 3.1249999999999997e-07,
|
60 |
+
"logits/chosen": -1.7087770700454712,
|
61 |
+
"logits/rejected": -1.6332916021347046,
|
62 |
+
"logps/chosen": -133.693115234375,
|
63 |
+
"logps/rejected": -103.26603698730469,
|
64 |
+
"loss": 0.2881,
|
65 |
"rewards/accuracies": 0.9312499761581421,
|
66 |
+
"rewards/chosen": 22.522541046142578,
|
67 |
+
"rewards/margins": 30.10431480407715,
|
68 |
+
"rewards/rejected": -7.581770420074463,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.08,
|
73 |
+
"grad_norm": 5943.73756122518,
|
74 |
"learning_rate": 4.1666666666666667e-07,
|
75 |
+
"logits/chosen": -1.6724061965942383,
|
76 |
+
"logits/rejected": -1.5752627849578857,
|
77 |
+
"logps/chosen": -145.07150268554688,
|
78 |
+
"logps/rejected": -101.88034057617188,
|
79 |
+
"loss": 0.2954,
|
80 |
+
"rewards/accuracies": 0.9312499761581421,
|
81 |
+
"rewards/chosen": 33.247291564941406,
|
82 |
+
"rewards/margins": 49.793121337890625,
|
83 |
+
"rewards/rejected": -16.545827865600586,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
"epoch": 0.1,
|
88 |
+
"grad_norm": 7581.752404887514,
|
89 |
"learning_rate": 4.999733114418725e-07,
|
90 |
+
"logits/chosen": -1.6333706378936768,
|
91 |
+
"logits/rejected": -1.6477829217910767,
|
92 |
+
"logps/chosen": -127.62773132324219,
|
93 |
+
"logps/rejected": -105.25482177734375,
|
94 |
+
"loss": 0.3583,
|
95 |
+
"rewards/accuracies": 0.875,
|
96 |
+
"rewards/chosen": 37.23344039916992,
|
97 |
+
"rewards/margins": 67.92698669433594,
|
98 |
+
"rewards/rejected": -30.693557739257812,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.13,
|
103 |
+
"grad_norm": 2401.4861603881745,
|
104 |
"learning_rate": 4.990398100856366e-07,
|
105 |
+
"logits/chosen": -1.727806806564331,
|
106 |
+
"logits/rejected": -1.6551291942596436,
|
107 |
+
"logps/chosen": -141.4404296875,
|
108 |
+
"logps/rejected": -109.39076232910156,
|
109 |
+
"loss": 0.4201,
|
110 |
+
"rewards/accuracies": 0.90625,
|
111 |
+
"rewards/chosen": 47.79894256591797,
|
112 |
+
"rewards/margins": 85.96011352539062,
|
113 |
+
"rewards/rejected": -38.16118240356445,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.15,
|
118 |
+
"grad_norm": 5134.999991523168,
|
119 |
"learning_rate": 4.967775735898179e-07,
|
120 |
+
"logits/chosen": -1.6500078439712524,
|
121 |
+
"logits/rejected": -1.6597402095794678,
|
122 |
+
"logps/chosen": -134.87258911132812,
|
123 |
+
"logps/rejected": -106.83231353759766,
|
124 |
+
"loss": 0.5503,
|
125 |
+
"rewards/accuracies": 0.925000011920929,
|
126 |
+
"rewards/chosen": 51.130958557128906,
|
127 |
+
"rewards/margins": 95.4656753540039,
|
128 |
+
"rewards/rejected": -44.334712982177734,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.17,
|
133 |
+
"grad_norm": 3020.747112536719,
|
134 |
"learning_rate": 4.931986719649298e-07,
|
135 |
+
"logits/chosen": -1.6039135456085205,
|
136 |
+
"logits/rejected": -1.5703781843185425,
|
137 |
+
"logps/chosen": -130.39112854003906,
|
138 |
+
"logps/rejected": -102.1457290649414,
|
139 |
+
"loss": 0.6267,
|
140 |
+
"rewards/accuracies": 0.90625,
|
141 |
+
"rewards/chosen": 50.343528747558594,
|
142 |
+
"rewards/margins": 92.43741607666016,
|
143 |
+
"rewards/rejected": -42.09387969970703,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
"epoch": 0.19,
|
148 |
+
"grad_norm": 4809.065343882705,
|
149 |
"learning_rate": 4.883222001996351e-07,
|
150 |
+
"logits/chosen": -1.6389238834381104,
|
151 |
+
"logits/rejected": -1.6379464864730835,
|
152 |
+
"logps/chosen": -138.47369384765625,
|
153 |
+
"logps/rejected": -113.57975006103516,
|
154 |
+
"loss": 0.5572,
|
155 |
+
"rewards/accuracies": 0.9437500238418579,
|
156 |
+
"rewards/chosen": 53.682769775390625,
|
157 |
+
"rewards/margins": 112.1175765991211,
|
158 |
+
"rewards/rejected": -58.43480682373047,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.21,
|
163 |
+
"grad_norm": 5573.955871135009,
|
164 |
"learning_rate": 4.821741763807186e-07,
|
165 |
+
"logits/chosen": -1.6723031997680664,
|
166 |
+
"logits/rejected": -1.628169059753418,
|
167 |
+
"logps/chosen": -118.47151184082031,
|
168 |
+
"logps/rejected": -102.07991790771484,
|
169 |
+
"loss": 0.6626,
|
170 |
"rewards/accuracies": 0.9125000238418579,
|
171 |
+
"rewards/chosen": 47.53132247924805,
|
172 |
+
"rewards/margins": 104.65843200683594,
|
173 |
+
"rewards/rejected": -57.127113342285156,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.21,
|
178 |
+
"eval_logits/chosen": -1.7106783390045166,
|
179 |
+
"eval_logits/rejected": -1.6835048198699951,
|
180 |
+
"eval_logps/chosen": -126.56555938720703,
|
181 |
+
"eval_logps/rejected": -104.89409637451172,
|
182 |
+
"eval_loss": 0.5380971431732178,
|
183 |
"eval_rewards/accuracies": 0.91015625,
|
184 |
+
"eval_rewards/chosen": 56.03348922729492,
|
185 |
+
"eval_rewards/margins": 114.3002700805664,
|
186 |
+
"eval_rewards/rejected": -58.26677703857422,
|
187 |
+
"eval_runtime": 98.2217,
|
188 |
+
"eval_samples_per_second": 20.362,
|
189 |
+
"eval_steps_per_second": 0.326,
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
"epoch": 0.23,
|
194 |
+
"grad_norm": 5005.917820095319,
|
195 |
"learning_rate": 4.747874028753375e-07,
|
196 |
+
"logits/chosen": -1.5906270742416382,
|
197 |
+
"logits/rejected": -1.6415948867797852,
|
198 |
+
"logps/chosen": -122.68074035644531,
|
199 |
+
"logps/rejected": -111.13360595703125,
|
200 |
+
"loss": 0.6247,
|
201 |
"rewards/accuracies": 0.8999999761581421,
|
202 |
+
"rewards/chosen": 46.82985305786133,
|
203 |
+
"rewards/margins": 91.6264419555664,
|
204 |
+
"rewards/rejected": -44.79658126831055,
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.25,
|
209 |
+
"grad_norm": 3655.068297528981,
|
210 |
"learning_rate": 4.662012913161997e-07,
|
211 |
+
"logits/chosen": -1.6676746606826782,
|
212 |
+
"logits/rejected": -1.6458972692489624,
|
213 |
+
"logps/chosen": -121.62098693847656,
|
214 |
+
"logps/rejected": -112.0022201538086,
|
215 |
+
"loss": 0.6809,
|
216 |
+
"rewards/accuracies": 0.856249988079071,
|
217 |
+
"rewards/chosen": 56.08646774291992,
|
218 |
+
"rewards/margins": 109.3838119506836,
|
219 |
+
"rewards/rejected": -53.29734420776367,
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
"epoch": 0.27,
|
224 |
+
"grad_norm": 2616.225265475091,
|
225 |
"learning_rate": 4.5646165232345103e-07,
|
226 |
+
"logits/chosen": -1.6679775714874268,
|
227 |
+
"logits/rejected": -1.6719906330108643,
|
228 |
+
"logps/chosen": -128.91368103027344,
|
229 |
+
"logps/rejected": -105.75624084472656,
|
230 |
+
"loss": 0.8587,
|
231 |
+
"rewards/accuracies": 0.918749988079071,
|
232 |
+
"rewards/chosen": 59.0042839050293,
|
233 |
+
"rewards/margins": 121.35162353515625,
|
234 |
+
"rewards/rejected": -62.34734344482422,
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.29,
|
239 |
+
"grad_norm": 5059.433598857849,
|
240 |
"learning_rate": 4.456204510851956e-07,
|
241 |
+
"logits/chosen": -1.5762321949005127,
|
242 |
+
"logits/rejected": -1.532997488975525,
|
243 |
+
"logps/chosen": -126.9024887084961,
|
244 |
+
"logps/rejected": -106.51009368896484,
|
245 |
+
"loss": 1.0224,
|
246 |
+
"rewards/accuracies": 0.9125000238418579,
|
247 |
+
"rewards/chosen": 53.33324432373047,
|
248 |
+
"rewards/margins": 120.55082702636719,
|
249 |
+
"rewards/rejected": -67.21758270263672,
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
"epoch": 0.31,
|
254 |
+
"grad_norm": 4855.894994824456,
|
255 |
"learning_rate": 4.337355301007335e-07,
|
256 |
+
"logits/chosen": -1.6975635290145874,
|
257 |
+
"logits/rejected": -1.719987154006958,
|
258 |
+
"logps/chosen": -123.97438049316406,
|
259 |
+
"logps/rejected": -103.92557525634766,
|
260 |
+
"loss": 0.7745,
|
261 |
"rewards/accuracies": 0.9125000238418579,
|
262 |
+
"rewards/chosen": 58.722259521484375,
|
263 |
+
"rewards/margins": 126.2754135131836,
|
264 |
+
"rewards/rejected": -67.55316162109375,
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
"epoch": 0.33,
|
269 |
+
"grad_norm": 7387.191481360179,
|
270 |
"learning_rate": 4.2087030056579986e-07,
|
271 |
+
"logits/chosen": -1.591379165649414,
|
272 |
+
"logits/rejected": -1.5474408864974976,
|
273 |
+
"logps/chosen": -131.2600860595703,
|
274 |
+
"logps/rejected": -111.50069427490234,
|
275 |
+
"loss": 0.978,
|
276 |
+
"rewards/accuracies": 0.887499988079071,
|
277 |
+
"rewards/chosen": 53.52874755859375,
|
278 |
+
"rewards/margins": 116.30496978759766,
|
279 |
+
"rewards/rejected": -62.77622604370117,
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
"epoch": 0.36,
|
284 |
+
"grad_norm": 6058.643602654731,
|
285 |
"learning_rate": 4.070934040463998e-07,
|
286 |
+
"logits/chosen": -1.7858331203460693,
|
287 |
+
"logits/rejected": -1.7473684549331665,
|
288 |
+
"logps/chosen": -127.06109619140625,
|
289 |
+
"logps/rejected": -111.16279602050781,
|
290 |
+
"loss": 1.1302,
|
291 |
+
"rewards/accuracies": 0.918749988079071,
|
292 |
+
"rewards/chosen": 60.402099609375,
|
293 |
+
"rewards/margins": 137.85804748535156,
|
294 |
+
"rewards/rejected": -77.4559326171875,
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
"epoch": 0.38,
|
299 |
+
"grad_norm": 6167.7476886721415,
|
300 |
"learning_rate": 3.9247834624635404e-07,
|
301 |
+
"logits/chosen": -1.7311580181121826,
|
302 |
+
"logits/rejected": -1.7103948593139648,
|
303 |
+
"logps/chosen": -129.98849487304688,
|
304 |
+
"logps/rejected": -106.89299011230469,
|
305 |
+
"loss": 1.1361,
|
306 |
+
"rewards/accuracies": 0.8812500238418579,
|
307 |
+
"rewards/chosen": 65.82339477539062,
|
308 |
+
"rewards/margins": 145.93978881835938,
|
309 |
+
"rewards/rejected": -80.11640167236328,
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
"epoch": 0.4,
|
314 |
+
"grad_norm": 4523.07404036336,
|
315 |
"learning_rate": 3.7710310482256523e-07,
|
316 |
+
"logits/chosen": -1.7770191431045532,
|
317 |
+
"logits/rejected": -1.7423677444458008,
|
318 |
+
"logps/chosen": -119.51290130615234,
|
319 |
+
"logps/rejected": -119.39100646972656,
|
320 |
+
"loss": 1.0299,
|
321 |
+
"rewards/accuracies": 0.887499988079071,
|
322 |
+
"rewards/chosen": 61.43328857421875,
|
323 |
+
"rewards/margins": 147.9120635986328,
|
324 |
+
"rewards/rejected": -86.47876739501953,
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
"epoch": 0.42,
|
329 |
+
"grad_norm": 5215.400997541756,
|
330 |
"learning_rate": 3.610497133404795e-07,
|
331 |
+
"logits/chosen": -1.7522026300430298,
|
332 |
+
"logits/rejected": -1.740299940109253,
|
333 |
+
"logps/chosen": -126.15678405761719,
|
334 |
+
"logps/rejected": -104.69581604003906,
|
335 |
+
"loss": 1.1228,
|
336 |
"rewards/accuracies": 0.9375,
|
337 |
+
"rewards/chosen": 64.89796447753906,
|
338 |
+
"rewards/margins": 148.3365020751953,
|
339 |
+
"rewards/rejected": -83.43852996826172,
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
"epoch": 0.42,
|
344 |
+
"eval_logits/chosen": -1.8540858030319214,
|
345 |
+
"eval_logits/rejected": -1.8447176218032837,
|
346 |
+
"eval_logps/chosen": -125.68189239501953,
|
347 |
+
"eval_logps/rejected": -110.9404296875,
|
348 |
+
"eval_loss": 1.1297000646591187,
|
349 |
+
"eval_rewards/accuracies": 0.91796875,
|
350 |
+
"eval_rewards/chosen": 60.45179748535156,
|
351 |
+
"eval_rewards/margins": 148.9502716064453,
|
352 |
+
"eval_rewards/rejected": -88.49847412109375,
|
353 |
+
"eval_runtime": 97.6338,
|
354 |
+
"eval_samples_per_second": 20.485,
|
355 |
"eval_steps_per_second": 0.328,
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
"epoch": 0.44,
|
360 |
+
"grad_norm": 5148.841292034743,
|
361 |
"learning_rate": 3.4440382358952115e-07,
|
362 |
+
"logits/chosen": -1.667100191116333,
|
363 |
+
"logits/rejected": -1.5997614860534668,
|
364 |
+
"logps/chosen": -122.68757629394531,
|
365 |
+
"logps/rejected": -103.17578125,
|
366 |
+
"loss": 1.2104,
|
367 |
+
"rewards/accuracies": 0.875,
|
368 |
+
"rewards/chosen": 49.51594161987305,
|
369 |
+
"rewards/margins": 117.38566589355469,
|
370 |
+
"rewards/rejected": -67.8697280883789,
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
"epoch": 0.46,
|
375 |
+
"grad_norm": 4256.5034776000675,
|
376 |
"learning_rate": 3.272542485937368e-07,
|
377 |
+
"logits/chosen": -1.7727683782577515,
|
378 |
+
"logits/rejected": -1.803052306175232,
|
379 |
+
"logps/chosen": -124.49140930175781,
|
380 |
+
"logps/rejected": -103.07470703125,
|
381 |
+
"loss": 1.1663,
|
382 |
+
"rewards/accuracies": 0.8999999761581421,
|
383 |
+
"rewards/chosen": 59.9194221496582,
|
384 |
+
"rewards/margins": 137.64974975585938,
|
385 |
+
"rewards/rejected": -77.73030853271484,
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
"epoch": 0.48,
|
390 |
+
"grad_norm": 3412.6069657750654,
|
391 |
"learning_rate": 3.096924887558854e-07,
|
392 |
+
"logits/chosen": -1.7261736392974854,
|
393 |
+
"logits/rejected": -1.6572097539901733,
|
394 |
+
"logps/chosen": -135.29733276367188,
|
395 |
+
"logps/rejected": -119.34806060791016,
|
396 |
+
"loss": 1.5026,
|
397 |
+
"rewards/accuracies": 0.925000011920929,
|
398 |
+
"rewards/chosen": 62.05744171142578,
|
399 |
+
"rewards/margins": 159.73196411132812,
|
400 |
+
"rewards/rejected": -97.67452239990234,
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
"epoch": 0.5,
|
405 |
+
"grad_norm": 4045.5773277237267,
|
406 |
"learning_rate": 2.9181224366319943e-07,
|
407 |
+
"logits/chosen": -1.7580757141113281,
|
408 |
+
"logits/rejected": -1.758367896080017,
|
409 |
+
"logps/chosen": -121.45936584472656,
|
410 |
+
"logps/rejected": -113.35154724121094,
|
411 |
+
"loss": 1.3537,
|
412 |
+
"rewards/accuracies": 0.887499988079071,
|
413 |
+
"rewards/chosen": 52.32881546020508,
|
414 |
+
"rewards/margins": 130.93927001953125,
|
415 |
+
"rewards/rejected": -78.61044311523438,
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
"epoch": 0.52,
|
420 |
+
"grad_norm": 4905.911393654389,
|
421 |
"learning_rate": 2.7370891215954565e-07,
|
422 |
+
"logits/chosen": -1.764793038368225,
|
423 |
+
"logits/rejected": -1.7861311435699463,
|
424 |
+
"logps/chosen": -125.88441467285156,
|
425 |
+
"logps/rejected": -115.19371032714844,
|
426 |
+
"loss": 1.1734,
|
427 |
+
"rewards/accuracies": 0.9125000238418579,
|
428 |
+
"rewards/chosen": 57.653724670410156,
|
429 |
+
"rewards/margins": 148.7053985595703,
|
430 |
+
"rewards/rejected": -91.05168151855469,
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
"epoch": 0.54,
|
435 |
+
"grad_norm": 3187.091777239148,
|
436 |
"learning_rate": 2.55479083351317e-07,
|
437 |
+
"logits/chosen": -1.824947714805603,
|
438 |
+
"logits/rejected": -1.8243358135223389,
|
439 |
+
"logps/chosen": -129.93756103515625,
|
440 |
+
"logps/rejected": -101.69322967529297,
|
441 |
+
"loss": 1.2106,
|
442 |
+
"rewards/accuracies": 0.887499988079071,
|
443 |
+
"rewards/chosen": 69.447265625,
|
444 |
+
"rewards/margins": 153.531982421875,
|
445 |
+
"rewards/rejected": -84.08470916748047,
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
"epoch": 0.56,
|
450 |
+
"grad_norm": 4150.480606577989,
|
451 |
"learning_rate": 2.3722002126275822e-07,
|
452 |
+
"logits/chosen": -1.8272711038589478,
|
453 |
+
"logits/rejected": -1.761054277420044,
|
454 |
+
"logps/chosen": -119.77864074707031,
|
455 |
+
"logps/rejected": -108.34645080566406,
|
456 |
+
"loss": 1.0651,
|
457 |
+
"rewards/accuracies": 0.893750011920929,
|
458 |
+
"rewards/chosen": 61.39922332763672,
|
459 |
+
"rewards/margins": 146.96238708496094,
|
460 |
+
"rewards/rejected": -85.56315612792969,
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.59,
|
465 |
+
"grad_norm": 4635.565014678977,
|
466 |
"learning_rate": 2.19029145890313e-07,
|
467 |
+
"logits/chosen": -1.6965610980987549,
|
468 |
+
"logits/rejected": -1.7728793621063232,
|
469 |
+
"logps/chosen": -125.82330322265625,
|
470 |
+
"logps/rejected": -120.9666976928711,
|
471 |
+
"loss": 1.4554,
|
472 |
+
"rewards/accuracies": 0.9312499761581421,
|
473 |
+
"rewards/chosen": 56.16676712036133,
|
474 |
+
"rewards/margins": 154.2525634765625,
|
475 |
+
"rewards/rejected": -98.0857925415039,
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
"epoch": 0.61,
|
480 |
+
"grad_norm": 8154.900158593716,
|
481 |
"learning_rate": 2.0100351342479216e-07,
|
482 |
+
"logits/chosen": -1.7839463949203491,
|
483 |
+
"logits/rejected": -1.746951699256897,
|
484 |
+
"logps/chosen": -116.02726745605469,
|
485 |
+
"logps/rejected": -108.37812805175781,
|
486 |
+
"loss": 1.6888,
|
487 |
+
"rewards/accuracies": 0.8999999761581421,
|
488 |
+
"rewards/chosen": 60.677894592285156,
|
489 |
+
"rewards/margins": 156.98635864257812,
|
490 |
+
"rewards/rejected": -96.30845642089844,
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.63,
|
495 |
+
"grad_norm": 4024.034790970826,
|
496 |
"learning_rate": 1.8323929841460178e-07,
|
497 |
+
"logits/chosen": -1.760197401046753,
|
498 |
+
"logits/rejected": -1.6944879293441772,
|
499 |
+
"logps/chosen": -134.81350708007812,
|
500 |
+
"logps/rejected": -125.29605865478516,
|
501 |
+
"loss": 1.2322,
|
502 |
+
"rewards/accuracies": 0.8999999761581421,
|
503 |
+
"rewards/chosen": 58.13340377807617,
|
504 |
+
"rewards/margins": 153.413330078125,
|
505 |
+
"rewards/rejected": -95.2799301147461,
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
"epoch": 0.63,
|
510 |
+
"eval_logits/chosen": -1.852140188217163,
|
511 |
+
"eval_logits/rejected": -1.8497883081436157,
|
512 |
+
"eval_logps/chosen": -124.934814453125,
|
513 |
+
"eval_logps/rejected": -113.70864868164062,
|
514 |
+
"eval_loss": 1.252324104309082,
|
515 |
+
"eval_rewards/accuracies": 0.90625,
|
516 |
+
"eval_rewards/chosen": 64.18718719482422,
|
517 |
+
"eval_rewards/margins": 166.52674865722656,
|
518 |
+
"eval_rewards/rejected": -102.33955383300781,
|
519 |
+
"eval_runtime": 97.7376,
|
520 |
+
"eval_samples_per_second": 20.463,
|
521 |
+
"eval_steps_per_second": 0.327,
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
"epoch": 0.65,
|
526 |
+
"grad_norm": 5331.659539146755,
|
527 |
"learning_rate": 1.6583128063291573e-07,
|
528 |
+
"logits/chosen": -1.737621545791626,
|
529 |
+
"logits/rejected": -1.7641786336898804,
|
530 |
+
"logps/chosen": -126.19486236572266,
|
531 |
+
"logps/rejected": -116.2991943359375,
|
532 |
+
"loss": 1.2695,
|
533 |
+
"rewards/accuracies": 0.9375,
|
534 |
+
"rewards/chosen": 65.71412658691406,
|
535 |
+
"rewards/margins": 154.5147247314453,
|
536 |
+
"rewards/rejected": -88.80058288574219,
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.67,
|
541 |
+
"grad_norm": 5116.7147594921935,
|
542 |
"learning_rate": 1.488723393865766e-07,
|
543 |
+
"logits/chosen": -1.7694507837295532,
|
544 |
+
"logits/rejected": -1.7249853610992432,
|
545 |
+
"logps/chosen": -115.9213638305664,
|
546 |
+
"logps/rejected": -114.83390808105469,
|
547 |
+
"loss": 1.0406,
|
548 |
"rewards/accuracies": 0.893750011920929,
|
549 |
+
"rewards/chosen": 74.37757873535156,
|
550 |
+
"rewards/margins": 167.27027893066406,
|
551 |
+
"rewards/rejected": -92.89268493652344,
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
"epoch": 0.69,
|
556 |
+
"grad_norm": 2983.807184096577,
|
557 |
"learning_rate": 1.3245295796480788e-07,
|
558 |
+
"logits/chosen": -1.67508864402771,
|
559 |
+
"logits/rejected": -1.7514469623565674,
|
560 |
+
"logps/chosen": -125.67265319824219,
|
561 |
+
"logps/rejected": -110.57685852050781,
|
562 |
+
"loss": 1.2745,
|
563 |
+
"rewards/accuracies": 0.90625,
|
564 |
+
"rewards/chosen": 62.5514030456543,
|
565 |
+
"rewards/margins": 146.69532775878906,
|
566 |
+
"rewards/rejected": -84.14390563964844,
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
"epoch": 0.71,
|
571 |
+
"grad_norm": 3107.118077347671,
|
572 |
"learning_rate": 1.1666074087171627e-07,
|
573 |
+
"logits/chosen": -1.6563949584960938,
|
574 |
+
"logits/rejected": -1.707965612411499,
|
575 |
+
"logps/chosen": -119.6385269165039,
|
576 |
+
"logps/rejected": -102.9443359375,
|
577 |
+
"loss": 1.9516,
|
578 |
+
"rewards/accuracies": 0.8999999761581421,
|
579 |
+
"rewards/chosen": 54.25886917114258,
|
580 |
+
"rewards/margins": 130.79788208007812,
|
581 |
+
"rewards/rejected": -76.53900146484375,
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
"epoch": 0.73,
|
586 |
+
"grad_norm": 5167.730746109294,
|
587 |
"learning_rate": 1.0157994641835734e-07,
|
588 |
+
"logits/chosen": -1.6847736835479736,
|
589 |
+
"logits/rejected": -1.6919714212417603,
|
590 |
+
"logps/chosen": -119.66569519042969,
|
591 |
+
"logps/rejected": -121.41600036621094,
|
592 |
+
"loss": 1.2195,
|
593 |
+
"rewards/accuracies": 0.9312499761581421,
|
594 |
+
"rewards/chosen": 52.09636306762695,
|
595 |
+
"rewards/margins": 151.3823699951172,
|
596 |
+
"rewards/rejected": -99.28602600097656,
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
"epoch": 0.75,
|
601 |
+
"grad_norm": 2841.989996938151,
|
602 |
"learning_rate": 8.729103716819111e-08,
|
603 |
+
"logits/chosen": -1.669879674911499,
|
604 |
+
"logits/rejected": -1.67971932888031,
|
605 |
+
"logps/chosen": -126.43663024902344,
|
606 |
+
"logps/rejected": -117.80718994140625,
|
607 |
+
"loss": 1.0743,
|
608 |
+
"rewards/accuracies": 0.84375,
|
609 |
+
"rewards/chosen": 58.56859588623047,
|
610 |
+
"rewards/margins": 151.0169677734375,
|
611 |
+
"rewards/rejected": -92.44835662841797,
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
"epoch": 0.77,
|
616 |
+
"grad_norm": 8325.689181319463,
|
617 |
"learning_rate": 7.387025063449081e-08,
|
618 |
+
"logits/chosen": -1.781070351600647,
|
619 |
+
"logits/rejected": -1.71746027469635,
|
620 |
+
"logps/chosen": -115.61714172363281,
|
621 |
+
"logps/rejected": -107.44537353515625,
|
622 |
+
"loss": 1.373,
|
623 |
"rewards/accuracies": 0.8999999761581421,
|
624 |
+
"rewards/chosen": 53.862998962402344,
|
625 |
+
"rewards/margins": 128.51947021484375,
|
626 |
+
"rewards/rejected": -74.6564712524414,
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
"epoch": 0.79,
|
631 |
+
"grad_norm": 3407.849063024597,
|
632 |
"learning_rate": 6.138919252022435e-08,
|
633 |
+
"logits/chosen": -1.8198273181915283,
|
634 |
+
"logits/rejected": -1.8311389684677124,
|
635 |
+
"logps/chosen": -123.67546081542969,
|
636 |
+
"logps/rejected": -118.96287536621094,
|
637 |
+
"loss": 1.1359,
|
638 |
+
"rewards/accuracies": 0.9312499761581421,
|
639 |
+
"rewards/chosen": 64.89139556884766,
|
640 |
+
"rewards/margins": 163.66079711914062,
|
641 |
+
"rewards/rejected": -98.76939392089844,
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
"epoch": 0.82,
|
646 |
+
"grad_norm": 5111.728746290769,
|
647 |
"learning_rate": 4.991445467064689e-08,
|
648 |
+
"logits/chosen": -1.6906057596206665,
|
649 |
+
"logits/rejected": -1.679142713546753,
|
650 |
+
"logps/chosen": -119.3856430053711,
|
651 |
+
"logps/rejected": -109.07829284667969,
|
652 |
+
"loss": 1.0033,
|
653 |
"rewards/accuracies": 0.956250011920929,
|
654 |
+
"rewards/chosen": 65.55087280273438,
|
655 |
+
"rewards/margins": 159.42166137695312,
|
656 |
+
"rewards/rejected": -93.87078094482422,
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
"epoch": 0.84,
|
661 |
+
"grad_norm": 5225.075784148659,
|
662 |
"learning_rate": 3.9507259776993954e-08,
|
663 |
+
"logits/chosen": -1.6872704029083252,
|
664 |
+
"logits/rejected": -1.7490768432617188,
|
665 |
+
"logps/chosen": -122.58219146728516,
|
666 |
+
"logps/rejected": -110.0202865600586,
|
667 |
+
"loss": 1.4879,
|
668 |
"rewards/accuracies": 0.893750011920929,
|
669 |
+
"rewards/chosen": 50.89643478393555,
|
670 |
+
"rewards/margins": 143.09738159179688,
|
671 |
+
"rewards/rejected": -92.20094299316406,
|
672 |
"step": 400
|
673 |
},
|
674 |
{
|
675 |
"epoch": 0.84,
|
676 |
+
"eval_logits/chosen": -1.8596594333648682,
|
677 |
+
"eval_logits/rejected": -1.8570736646652222,
|
678 |
+
"eval_logps/chosen": -124.50975799560547,
|
679 |
+
"eval_logps/rejected": -113.37007904052734,
|
680 |
+
"eval_loss": 1.1371028423309326,
|
681 |
"eval_rewards/accuracies": 0.9140625,
|
682 |
+
"eval_rewards/chosen": 66.31253051757812,
|
683 |
+
"eval_rewards/margins": 166.95924377441406,
|
684 |
+
"eval_rewards/rejected": -100.64672088623047,
|
685 |
+
"eval_runtime": 97.767,
|
686 |
+
"eval_samples_per_second": 20.457,
|
687 |
+
"eval_steps_per_second": 0.327,
|
688 |
"step": 400
|
689 |
},
|
690 |
{
|
691 |
"epoch": 0.86,
|
692 |
+
"grad_norm": 4568.20589061741,
|
693 |
"learning_rate": 3.022313472693447e-08,
|
694 |
+
"logits/chosen": -1.783117651939392,
|
695 |
+
"logits/rejected": -1.7963669300079346,
|
696 |
+
"logps/chosen": -133.34133911132812,
|
697 |
+
"logps/rejected": -111.79888916015625,
|
698 |
+
"loss": 1.3345,
|
699 |
+
"rewards/accuracies": 0.9125000238418579,
|
700 |
+
"rewards/chosen": 69.86833953857422,
|
701 |
+
"rewards/margins": 168.33352661132812,
|
702 |
+
"rewards/rejected": -98.46517181396484,
|
703 |
"step": 410
|
704 |
},
|
705 |
{
|
706 |
"epoch": 0.88,
|
707 |
+
"grad_norm": 2004.864553433664,
|
708 |
"learning_rate": 2.2111614344599684e-08,
|
709 |
+
"logits/chosen": -1.7588926553726196,
|
710 |
+
"logits/rejected": -1.7469125986099243,
|
711 |
+
"logps/chosen": -117.37568664550781,
|
712 |
+
"logps/rejected": -109.0504379272461,
|
713 |
+
"loss": 1.0939,
|
714 |
+
"rewards/accuracies": 0.925000011920929,
|
715 |
+
"rewards/chosen": 54.66992950439453,
|
716 |
+
"rewards/margins": 146.59942626953125,
|
717 |
+
"rewards/rejected": -91.92948913574219,
|
718 |
"step": 420
|
719 |
},
|
720 |
{
|
721 |
"epoch": 0.9,
|
722 |
+
"grad_norm": 6002.785034545566,
|
723 |
"learning_rate": 1.521597710086439e-08,
|
724 |
+
"logits/chosen": -1.6868712902069092,
|
725 |
+
"logits/rejected": -1.7167789936065674,
|
726 |
+
"logps/chosen": -133.92648315429688,
|
727 |
+
"logps/rejected": -109.4766845703125,
|
728 |
+
"loss": 1.302,
|
729 |
+
"rewards/accuracies": 0.9125000238418579,
|
730 |
+
"rewards/chosen": 60.91377639770508,
|
731 |
+
"rewards/margins": 140.86959838867188,
|
732 |
+
"rewards/rejected": -79.955810546875,
|
733 |
"step": 430
|
734 |
},
|
735 |
{
|
736 |
"epoch": 0.92,
|
737 |
+
"grad_norm": 4174.567194718766,
|
738 |
"learning_rate": 9.57301420397924e-09,
|
739 |
+
"logits/chosen": -1.8478610515594482,
|
740 |
+
"logits/rejected": -1.844618558883667,
|
741 |
+
"logps/chosen": -125.5219497680664,
|
742 |
+
"logps/rejected": -113.06559753417969,
|
743 |
+
"loss": 1.1571,
|
744 |
"rewards/accuracies": 0.949999988079071,
|
745 |
+
"rewards/chosen": 67.255859375,
|
746 |
+
"rewards/margins": 165.56820678710938,
|
747 |
+
"rewards/rejected": -98.31233978271484,
|
748 |
"step": 440
|
749 |
},
|
750 |
{
|
751 |
"epoch": 0.94,
|
752 |
+
"grad_norm": 3138.716824955697,
|
753 |
"learning_rate": 5.212833302556258e-09,
|
754 |
+
"logits/chosen": -1.851266860961914,
|
755 |
+
"logits/rejected": -1.8116323947906494,
|
756 |
+
"logps/chosen": -120.89784240722656,
|
757 |
+
"logps/rejected": -108.1541976928711,
|
758 |
+
"loss": 1.1545,
|
759 |
+
"rewards/accuracies": 0.8999999761581421,
|
760 |
+
"rewards/chosen": 72.04536437988281,
|
761 |
+
"rewards/margins": 170.95724487304688,
|
762 |
+
"rewards/rejected": -98.91184997558594,
|
763 |
"step": 450
|
764 |
},
|
765 |
{
|
766 |
"epoch": 0.96,
|
767 |
+
"grad_norm": 4135.641329446369,
|
768 |
"learning_rate": 2.158697848236607e-09,
|
769 |
+
"logits/chosen": -1.741848349571228,
|
770 |
+
"logits/rejected": -1.7524465322494507,
|
771 |
+
"logps/chosen": -125.63752746582031,
|
772 |
+
"logps/rejected": -113.10050201416016,
|
773 |
+
"loss": 1.0434,
|
774 |
+
"rewards/accuracies": 0.9312499761581421,
|
775 |
+
"rewards/chosen": 68.5815200805664,
|
776 |
+
"rewards/margins": 155.94091796875,
|
777 |
+
"rewards/rejected": -87.35940551757812,
|
778 |
"step": 460
|
779 |
},
|
780 |
{
|
781 |
"epoch": 0.98,
|
782 |
+
"grad_norm": 3311.2735765742887,
|
783 |
"learning_rate": 4.269029751107489e-10,
|
784 |
+
"logits/chosen": -1.7126121520996094,
|
785 |
+
"logits/rejected": -1.7236770391464233,
|
786 |
+
"logps/chosen": -118.24110412597656,
|
787 |
+
"logps/rejected": -123.0606689453125,
|
788 |
+
"loss": 1.3321,
|
789 |
"rewards/accuracies": 0.893750011920929,
|
790 |
+
"rewards/chosen": 57.35273361206055,
|
791 |
+
"rewards/margins": 153.78114318847656,
|
792 |
+
"rewards/rejected": -96.42841339111328,
|
793 |
"step": 470
|
794 |
},
|
795 |
{
|
796 |
"epoch": 1.0,
|
797 |
"step": 478,
|
798 |
"total_flos": 0.0,
|
799 |
+
"train_loss": 1.062665213600861,
|
800 |
+
"train_runtime": 7601.7683,
|
801 |
+
"train_samples_per_second": 8.042,
|
802 |
"train_steps_per_second": 0.063
|
803 |
}
|
804 |
],
|