hugodk-sch
commited on
Commit
•
5b547b9
1
Parent(s):
826ec93
Model save
Browse files- README.md +13 -16
- adapter_model.safetensors +1 -1
- all_results.json +3 -16
- train_results.json +3 -3
- trainer_state.json +376 -376
README.md
CHANGED
@@ -1,13 +1,10 @@
|
|
1 |
---
|
2 |
library_name: peft
|
3 |
tags:
|
4 |
-
- alignment-handbook
|
5 |
- trl
|
6 |
- dpo
|
7 |
- generated_from_trainer
|
8 |
base_model: NbAiLab/nb-gpt-j-6B-v2
|
9 |
-
datasets:
|
10 |
-
- hugodk-sch/aftonposten_title_prefs
|
11 |
model-index:
|
12 |
- name: aftonposten-6b-align-scan
|
13 |
results: []
|
@@ -18,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
# aftonposten-6b-align-scan
|
20 |
|
21 |
-
This model is a fine-tuned version of [
|
22 |
It achieves the following results on the evaluation set:
|
23 |
-
- Loss: 0.
|
24 |
-
- Rewards/chosen: -0.
|
25 |
-
- Rewards/rejected: -0.
|
26 |
-
- Rewards/accuracies: 0.
|
27 |
-
- Rewards/margins: 0.
|
28 |
-
- Logps/rejected: -37.
|
29 |
-
- Logps/chosen: -34.
|
30 |
-
- Logits/rejected: -2.
|
31 |
-
- Logits/chosen: -2.
|
32 |
|
33 |
## Model description
|
34 |
|
@@ -63,9 +60,9 @@ The following hyperparameters were used during training:
|
|
63 |
|
64 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
65 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
|
70 |
|
71 |
### Framework versions
|
|
|
1 |
---
|
2 |
library_name: peft
|
3 |
tags:
|
|
|
4 |
- trl
|
5 |
- dpo
|
6 |
- generated_from_trainer
|
7 |
base_model: NbAiLab/nb-gpt-j-6B-v2
|
|
|
|
|
8 |
model-index:
|
9 |
- name: aftonposten-6b-align-scan
|
10 |
results: []
|
|
|
15 |
|
16 |
# aftonposten-6b-align-scan
|
17 |
|
18 |
+
This model is a fine-tuned version of [NbAiLab/nb-gpt-j-6B-v2](https://huggingface.co/NbAiLab/nb-gpt-j-6B-v2) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.6909
|
21 |
+
- Rewards/chosen: -0.0119
|
22 |
+
- Rewards/rejected: -0.0186
|
23 |
+
- Rewards/accuracies: 0.4950
|
24 |
+
- Rewards/margins: 0.0067
|
25 |
+
- Logps/rejected: -37.6097
|
26 |
+
- Logps/chosen: -34.0940
|
27 |
+
- Logits/rejected: -2.2214
|
28 |
+
- Logits/chosen: -2.2262
|
29 |
|
30 |
## Model description
|
31 |
|
|
|
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 |
+
| 0.6813 | 0.26 | 100 | 0.6915 | 0.0010 | -0.0036 | 0.5220 | 0.0046 | -37.5345 | -34.0295 | -2.2270 | -2.2319 |
|
64 |
+
| 0.6632 | 0.52 | 200 | 0.6888 | -0.0034 | -0.0137 | 0.5660 | 0.0103 | -37.5852 | -34.0514 | -2.2240 | -2.2288 |
|
65 |
+
| 0.6327 | 0.78 | 300 | 0.6909 | -0.0119 | -0.0186 | 0.4950 | 0.0067 | -37.6097 | -34.0940 | -2.2214 | -2.2262 |
|
66 |
|
67 |
|
68 |
### Framework versions
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 176183216
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:395008a5337e9476a1dc1f5375da135344d6f0ec95ea8b2cbda1a750fc60ba5f
|
3 |
size 176183216
|
all_results.json
CHANGED
@@ -1,21 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"eval_logps/chosen": -34.03827667236328,
|
6 |
-
"eval_logps/rejected": -37.573402404785156,
|
7 |
-
"eval_loss": 0.9946814179420471,
|
8 |
-
"eval_rewards/accuracies": 0.5710132718086243,
|
9 |
-
"eval_rewards/chosen": -0.00037224299740046263,
|
10 |
-
"eval_rewards/margins": 0.005306063685566187,
|
11 |
-
"eval_rewards/rejected": -0.005678307265043259,
|
12 |
-
"eval_runtime": 145.3784,
|
13 |
-
"eval_samples": 343,
|
14 |
-
"eval_samples_per_second": 2.359,
|
15 |
-
"eval_steps_per_second": 0.296,
|
16 |
-
"train_loss": 0.9734619264478808,
|
17 |
-
"train_runtime": 3253.307,
|
18 |
"train_samples": 3079,
|
19 |
-
"train_samples_per_second": 0.
|
20 |
"train_steps_per_second": 0.118
|
21 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.6689951481757226,
|
4 |
+
"train_runtime": 3249.3574,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"train_samples": 3079,
|
6 |
+
"train_samples_per_second": 0.948,
|
7 |
"train_steps_per_second": 0.118
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 3079,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.118
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.6689951481757226,
|
4 |
+
"train_runtime": 3249.3574,
|
5 |
"train_samples": 3079,
|
6 |
+
"train_samples_per_second": 0.948,
|
7 |
"train_steps_per_second": 0.118
|
8 |
}
|
trainer_state.json
CHANGED
@@ -15,7 +15,7 @@
|
|
15 |
"logits/rejected": -1.7377450466156006,
|
16 |
"logps/chosen": -29.553977966308594,
|
17 |
"logps/rejected": -42.813133239746094,
|
18 |
-
"loss":
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
@@ -25,590 +25,590 @@
|
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
"learning_rate": 1.282051282051282e-06,
|
28 |
-
"logits/chosen": -1.
|
29 |
-
"logits/rejected": -1.
|
30 |
-
"logps/chosen": -36.
|
31 |
-
"logps/rejected": -33.
|
32 |
-
"loss": 0.
|
33 |
-
"rewards/accuracies": 0.
|
34 |
-
"rewards/chosen": 0.
|
35 |
-
"rewards/margins": 0.
|
36 |
-
"rewards/rejected": -0.
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05,
|
41 |
"learning_rate": 2.564102564102564e-06,
|
42 |
-
"logits/chosen": -1.
|
43 |
-
"logits/rejected": -2.
|
44 |
-
"logps/chosen": -29.
|
45 |
-
"logps/rejected": -29.
|
46 |
-
"loss":
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen":
|
49 |
-
"rewards/margins":
|
50 |
-
"rewards/rejected": 0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
"learning_rate": 3.846153846153847e-06,
|
56 |
-
"logits/chosen": -1.
|
57 |
-
"logits/rejected": -1.
|
58 |
-
"logps/chosen": -31.
|
59 |
-
"logps/rejected": -33.
|
60 |
-
"loss": 0.
|
61 |
-
"rewards/accuracies": 0.
|
62 |
-
"rewards/chosen": 0.
|
63 |
-
"rewards/margins": 0.
|
64 |
-
"rewards/rejected": 0.
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.1,
|
69 |
"learning_rate": 4.999896948438434e-06,
|
70 |
-
"logits/chosen": -2.
|
71 |
-
"logits/rejected": -2.
|
72 |
-
"logps/chosen": -32.
|
73 |
-
"logps/rejected": -32.
|
74 |
-
"loss":
|
75 |
-
"rewards/accuracies": 0.
|
76 |
-
"rewards/chosen": 0.
|
77 |
-
"rewards/margins":
|
78 |
-
"rewards/rejected": 0.
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.13,
|
83 |
"learning_rate": 4.987541037542187e-06,
|
84 |
-
"logits/chosen": -1.
|
85 |
-
"logits/rejected": -1.
|
86 |
-
"logps/chosen": -33.
|
87 |
-
"logps/rejected": -35.
|
88 |
-
"loss":
|
89 |
-
"rewards/accuracies": 0.
|
90 |
-
"rewards/chosen": 0.
|
91 |
-
"rewards/margins": -0.
|
92 |
-
"rewards/rejected": 0.
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.16,
|
97 |
"learning_rate": 4.954691471941119e-06,
|
98 |
-
"logits/chosen": -1.
|
99 |
-
"logits/rejected": -1.
|
100 |
-
"logps/chosen": -32.
|
101 |
-
"logps/rejected": -33.
|
102 |
-
"loss": 0.
|
103 |
"rewards/accuracies": 0.5625,
|
104 |
-
"rewards/chosen": 0.
|
105 |
-
"rewards/margins": 0.
|
106 |
-
"rewards/rejected": -0.
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.18,
|
111 |
"learning_rate": 4.901618883413549e-06,
|
112 |
-
"logits/chosen": -2.
|
113 |
-
"logits/rejected": -2.
|
114 |
-
"logps/chosen": -33.
|
115 |
-
"logps/rejected": -36.
|
116 |
-
"loss": 0.
|
117 |
"rewards/accuracies": 0.5625,
|
118 |
-
"rewards/chosen": 0.
|
119 |
-
"rewards/margins": 0.
|
120 |
-
"rewards/rejected": -0.
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.21,
|
125 |
"learning_rate": 4.828760511501322e-06,
|
126 |
-
"logits/chosen": -1.
|
127 |
-
"logits/rejected": -1.
|
128 |
-
"logps/chosen": -34.
|
129 |
-
"logps/rejected": -34.
|
130 |
-
"loss": 0.
|
131 |
"rewards/accuracies": 0.625,
|
132 |
-
"rewards/chosen": 0.
|
133 |
-
"rewards/margins": 0.
|
134 |
-
"rewards/rejected": -0.
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.23,
|
139 |
"learning_rate": 4.7367166013034295e-06,
|
140 |
-
"logits/chosen": -1.
|
141 |
-
"logits/rejected": -1.
|
142 |
-
"logps/chosen": -32.
|
143 |
-
"logps/rejected": -32.
|
144 |
-
"loss": 0.
|
145 |
-
"rewards/accuracies": 0.
|
146 |
-
"rewards/chosen": 0.
|
147 |
-
"rewards/margins": 0.
|
148 |
-
"rewards/rejected": 0.
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.26,
|
153 |
"learning_rate": 4.626245458345211e-06,
|
154 |
-
"logits/chosen": -2.
|
155 |
-
"logits/rejected": -2.
|
156 |
-
"logps/chosen": -32.
|
157 |
-
"logps/rejected": -31.
|
158 |
-
"loss": 0.
|
159 |
-
"rewards/accuracies": 0.
|
160 |
-
"rewards/chosen": 0.
|
161 |
-
"rewards/margins": 0.
|
162 |
-
"rewards/rejected": -0.
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.26,
|
167 |
-
"eval_logits/chosen": -2.
|
168 |
-
"eval_logits/rejected": -2.
|
169 |
-
"eval_logps/chosen": -34.
|
170 |
-
"eval_logps/rejected": -37.
|
171 |
-
"eval_loss": 0.
|
172 |
-
"eval_rewards/accuracies": 0.
|
173 |
-
"eval_rewards/chosen": 0.
|
174 |
-
"eval_rewards/margins": 0.
|
175 |
-
"eval_rewards/rejected": -0.
|
176 |
-
"eval_runtime": 145.
|
177 |
-
"eval_samples_per_second": 2.
|
178 |
"eval_steps_per_second": 0.295,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.29,
|
183 |
"learning_rate": 4.498257201263691e-06,
|
184 |
-
"logits/chosen": -1.
|
185 |
-
"logits/rejected": -1.
|
186 |
-
"logps/chosen": -33.
|
187 |
-
"logps/rejected": -
|
188 |
-
"loss": 0.
|
189 |
-
"rewards/accuracies": 0.
|
190 |
-
"rewards/chosen": 0.
|
191 |
-
"rewards/margins": 0.
|
192 |
-
"rewards/rejected": 0.
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.31,
|
197 |
"learning_rate": 4.353806263777678e-06,
|
198 |
-
"logits/chosen": -2.
|
199 |
-
"logits/rejected": -1.
|
200 |
-
"logps/chosen": -32.
|
201 |
-
"logps/rejected": -32.
|
202 |
-
"loss": 0.
|
203 |
-
"rewards/accuracies": 0.
|
204 |
-
"rewards/chosen": 0.
|
205 |
-
"rewards/margins": 0.
|
206 |
-
"rewards/rejected": 0.
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.34,
|
211 |
"learning_rate": 4.1940827077152755e-06,
|
212 |
-
"logits/chosen": -2.
|
213 |
-
"logits/rejected": -2.
|
214 |
-
"logps/chosen": -30.
|
215 |
-
"logps/rejected": -32.
|
216 |
-
"loss": 0.
|
217 |
-
"rewards/accuracies": 0.
|
218 |
-
"rewards/chosen": 0.
|
219 |
-
"rewards/margins": 0.
|
220 |
-
"rewards/rejected": 0.
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.36,
|
225 |
"learning_rate": 4.0204024186666215e-06,
|
226 |
-
"logits/chosen": -1.
|
227 |
-
"logits/rejected": -1.
|
228 |
-
"logps/chosen": -31.
|
229 |
-
"logps/rejected": -32.
|
230 |
-
"loss": 0.
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen": 0.
|
233 |
-
"rewards/margins": 0.
|
234 |
-
"rewards/rejected": -0.
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.39,
|
239 |
"learning_rate": 3.834196265035119e-06,
|
240 |
-
"logits/chosen": -1.
|
241 |
-
"logits/rejected": -1.
|
242 |
-
"logps/chosen": -33.
|
243 |
-
"logps/rejected": -34.
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": 0.
|
247 |
-
"rewards/margins": 0.
|
248 |
-
"rewards/rejected": -0.
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.42,
|
253 |
"learning_rate": 3.636998309800573e-06,
|
254 |
-
"logits/chosen": -1.
|
255 |
-
"logits/rejected": -1.
|
256 |
-
"logps/chosen": -
|
257 |
-
"logps/rejected": -32.
|
258 |
-
"loss": 0.
|
259 |
-
"rewards/accuracies": 0.
|
260 |
-
"rewards/chosen": 0.
|
261 |
-
"rewards/margins": 0.
|
262 |
-
"rewards/rejected": 0.
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.44,
|
267 |
"learning_rate": 3.4304331721118078e-06,
|
268 |
-
"logits/chosen": -2.
|
269 |
-
"logits/rejected": -2.
|
270 |
-
"logps/chosen": -33.
|
271 |
-
"logps/rejected": -31.
|
272 |
-
"loss": 0.
|
273 |
-
"rewards/accuracies": 0.
|
274 |
-
"rewards/chosen": 0.
|
275 |
-
"rewards/margins": 0.
|
276 |
-
"rewards/rejected": -0.
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.47,
|
281 |
"learning_rate": 3.2162026428305436e-06,
|
282 |
-
"logits/chosen": -2.
|
283 |
-
"logits/rejected": -2.
|
284 |
-
"logps/chosen": -32.
|
285 |
-
"logps/rejected": -32.
|
286 |
-
"loss": 0.
|
287 |
-
"rewards/accuracies": 0.
|
288 |
-
"rewards/chosen": 0.
|
289 |
-
"rewards/margins": 0.
|
290 |
-
"rewards/rejected": 0.
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.49,
|
295 |
"learning_rate": 2.996071664294641e-06,
|
296 |
-
"logits/chosen": -2.
|
297 |
-
"logits/rejected": -2.
|
298 |
-
"logps/chosen": -31.
|
299 |
-
"logps/rejected": -31.
|
300 |
-
"loss": 0.
|
301 |
-
"rewards/accuracies": 0.
|
302 |
-
"rewards/chosen": 0.
|
303 |
-
"rewards/margins": 0.
|
304 |
-
"rewards/rejected": 0.
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.52,
|
309 |
"learning_rate": 2.7718537898066833e-06,
|
310 |
-
"logits/chosen": -1.
|
311 |
-
"logits/rejected": -1.
|
312 |
-
"logps/chosen": -31.
|
313 |
-
"logps/rejected": -32.
|
314 |
-
"loss": 0.
|
315 |
-
"rewards/accuracies": 0.
|
316 |
-
"rewards/chosen": 0.
|
317 |
-
"rewards/margins": 0.
|
318 |
-
"rewards/rejected": -0.
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.52,
|
323 |
-
"eval_logits/chosen": -2.
|
324 |
-
"eval_logits/rejected": -2.
|
325 |
-
"eval_logps/chosen": -34.
|
326 |
-
"eval_logps/rejected": -37.
|
327 |
-
"eval_loss": 0.
|
328 |
-
"eval_rewards/accuracies": 0.
|
329 |
-
"eval_rewards/chosen": 0.
|
330 |
-
"eval_rewards/margins": 0.
|
331 |
-
"eval_rewards/rejected": -0.
|
332 |
-
"eval_runtime": 145.
|
333 |
-
"eval_samples_per_second": 2.
|
334 |
"eval_steps_per_second": 0.295,
|
335 |
"step": 200
|
336 |
},
|
337 |
{
|
338 |
"epoch": 0.55,
|
339 |
"learning_rate": 2.5453962426402006e-06,
|
340 |
-
"logits/chosen": -2.
|
341 |
-
"logits/rejected": -2.
|
342 |
-
"logps/chosen": -31.
|
343 |
-
"logps/rejected": -33.
|
344 |
-
"loss": 0.
|
345 |
-
"rewards/accuracies": 0.
|
346 |
-
"rewards/chosen": 0.
|
347 |
-
"rewards/margins": 0.
|
348 |
-
"rewards/rejected": -0.
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.57,
|
353 |
"learning_rate": 2.3185646976551794e-06,
|
354 |
-
"logits/chosen": -1.
|
355 |
-
"logits/rejected": -1.
|
356 |
-
"logps/chosen": -29.
|
357 |
-
"logps/rejected": -31.
|
358 |
-
"loss": 0.
|
359 |
-
"rewards/accuracies": 0.
|
360 |
-
"rewards/chosen": 0.
|
361 |
-
"rewards/margins": 0.
|
362 |
-
"rewards/rejected": -0.
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.6,
|
367 |
"learning_rate": 2.0932279108998323e-06,
|
368 |
-
"logits/chosen": -1.
|
369 |
-
"logits/rejected": -1.
|
370 |
-
"logps/chosen": -33.
|
371 |
-
"logps/rejected": -31.
|
372 |
-
"loss": 0.
|
373 |
-
"rewards/accuracies": 0.
|
374 |
-
"rewards/chosen": 0.
|
375 |
-
"rewards/margins": 0.
|
376 |
-
"rewards/rejected": -0.
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.62,
|
381 |
"learning_rate": 1.8712423238279358e-06,
|
382 |
-
"logits/chosen": -1.
|
383 |
-
"logits/rejected": -1.
|
384 |
-
"logps/chosen": -33.
|
385 |
-
"logps/rejected": -35.
|
386 |
-
"loss": 0.
|
387 |
-
"rewards/accuracies": 0.
|
388 |
-
"rewards/chosen": 0.
|
389 |
-
"rewards/margins": 0.
|
390 |
-
"rewards/rejected": -0.
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.65,
|
395 |
"learning_rate": 1.6544367689701824e-06,
|
396 |
-
"logits/chosen": -2.
|
397 |
-
"logits/rejected": -
|
398 |
-
"logps/chosen": -32.
|
399 |
-
"logps/rejected": -36.
|
400 |
-
"loss": 0.
|
401 |
-
"rewards/accuracies": 0.
|
402 |
-
"rewards/chosen": 0.
|
403 |
-
"rewards/margins": 0.
|
404 |
-
"rewards/rejected":
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.68,
|
409 |
"learning_rate": 1.4445974030621963e-06,
|
410 |
-
"logits/chosen": -1.
|
411 |
-
"logits/rejected": -1.
|
412 |
-
"logps/chosen": -33.
|
413 |
-
"logps/rejected": -35.
|
414 |
-
"loss": 0.
|
415 |
-
"rewards/accuracies": 0.
|
416 |
-
"rewards/chosen": 0.
|
417 |
-
"rewards/margins": 0.
|
418 |
-
"rewards/rejected": -0.
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7,
|
423 |
"learning_rate": 1.243452991757889e-06,
|
424 |
-
"logits/chosen": -1.
|
425 |
-
"logits/rejected": -1.
|
426 |
-
"logps/chosen": -34.
|
427 |
-
"logps/rejected": -31.
|
428 |
-
"loss": 0.
|
429 |
-
"rewards/accuracies": 0.
|
430 |
-
"rewards/chosen": 0.
|
431 |
-
"rewards/margins": 0.
|
432 |
-
"rewards/rejected": -0.
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.73,
|
437 |
"learning_rate": 1.0526606671603523e-06,
|
438 |
-
"logits/chosen": -1.
|
439 |
-
"logits/rejected": -1.
|
440 |
-
"logps/chosen": -34.
|
441 |
-
"logps/rejected": -31.
|
442 |
-
"loss": 0.
|
443 |
"rewards/accuracies": 0.7124999761581421,
|
444 |
-
"rewards/chosen": 0.
|
445 |
-
"rewards/margins": 0.
|
446 |
-
"rewards/rejected": -0.
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.75,
|
451 |
"learning_rate": 8.737922755071455e-07,
|
452 |
-
"logits/chosen": -2.
|
453 |
-
"logits/rejected": -2.
|
454 |
-
"logps/chosen": -30.
|
455 |
-
"logps/rejected": -32.
|
456 |
-
"loss": 0.
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen": 0.
|
459 |
-
"rewards/margins": 0.
|
460 |
-
"rewards/rejected": 0.
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.78,
|
465 |
"learning_rate": 7.08321427484816e-07,
|
466 |
-
"logits/chosen": -1.
|
467 |
-
"logits/rejected": -1.
|
468 |
-
"logps/chosen": -32.
|
469 |
-
"logps/rejected": -30.
|
470 |
-
"loss": 0.
|
471 |
-
"rewards/accuracies": 0.
|
472 |
-
"rewards/chosen": 0.
|
473 |
-
"rewards/margins": 0.
|
474 |
-
"rewards/rejected": -0.
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.78,
|
479 |
-
"eval_logits/chosen": -2.
|
480 |
-
"eval_logits/rejected": -2.
|
481 |
-
"eval_logps/chosen": -34.
|
482 |
-
"eval_logps/rejected": -37.
|
483 |
-
"eval_loss": 0.
|
484 |
-
"eval_rewards/accuracies": 0.
|
485 |
-
"eval_rewards/chosen": -0.
|
486 |
-
"eval_rewards/margins": 0.
|
487 |
-
"eval_rewards/rejected": -0.
|
488 |
-
"eval_runtime": 145.
|
489 |
-
"eval_samples_per_second": 2.
|
490 |
-
"eval_steps_per_second": 0.
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.81,
|
495 |
"learning_rate": 5.576113578589035e-07,
|
496 |
-
"logits/chosen": -1.
|
497 |
-
"logits/rejected": -1.
|
498 |
-
"logps/chosen": -31.
|
499 |
-
"logps/rejected": -33.
|
500 |
-
"loss": 0.
|
501 |
-
"rewards/accuracies": 0.
|
502 |
-
"rewards/chosen": 0.
|
503 |
-
"rewards/margins": 0.
|
504 |
-
"rewards/rejected": -0.
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.83,
|
509 |
"learning_rate": 4.229036944380913e-07,
|
510 |
-
"logits/chosen": -1.
|
511 |
-
"logits/rejected": -1.
|
512 |
-
"logps/chosen": -34.
|
513 |
-
"logps/rejected": -33.
|
514 |
-
"loss": 0.
|
515 |
-
"rewards/accuracies": 0.
|
516 |
-
"rewards/chosen": 0.
|
517 |
-
"rewards/margins": 0.
|
518 |
-
"rewards/rejected": -0.
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.86,
|
523 |
"learning_rate": 3.053082288996112e-07,
|
524 |
-
"logits/chosen": -1.
|
525 |
-
"logits/rejected": -1.
|
526 |
-
"logps/chosen": -33.
|
527 |
-
"logps/rejected": -32.
|
528 |
-
"loss": 0.
|
529 |
-
"rewards/accuracies": 0.
|
530 |
-
"rewards/chosen": 0.
|
531 |
-
"rewards/margins": 0.
|
532 |
-
"rewards/rejected": -0.
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.88,
|
537 |
"learning_rate": 2.0579377374915805e-07,
|
538 |
-
"logits/chosen": -2.
|
539 |
-
"logits/rejected": -2.
|
540 |
-
"logps/chosen": -33.
|
541 |
-
"logps/rejected": -33.
|
542 |
-
"loss": 0.
|
543 |
-
"rewards/accuracies": 0.
|
544 |
-
"rewards/chosen": 0.
|
545 |
-
"rewards/margins": 0.
|
546 |
-
"rewards/rejected": 0.
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.91,
|
551 |
"learning_rate": 1.2518018074041684e-07,
|
552 |
-
"logits/chosen": -1.
|
553 |
-
"logits/rejected": -1.
|
554 |
-
"logps/chosen": -32.
|
555 |
-
"logps/rejected": -32.
|
556 |
-
"loss": 0.
|
557 |
-
"rewards/accuracies": 0.
|
558 |
-
"rewards/chosen": 0.
|
559 |
-
"rewards/margins": 0.
|
560 |
-
"rewards/rejected": -0.
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.94,
|
565 |
"learning_rate": 6.41315865106129e-08,
|
566 |
-
"logits/chosen": -1.
|
567 |
-
"logits/rejected": -1.
|
568 |
-
"logps/chosen": -31.
|
569 |
-
"logps/rejected": -35.
|
570 |
-
"loss": 0.
|
571 |
-
"rewards/accuracies": 0.
|
572 |
-
"rewards/chosen": 0.
|
573 |
-
"rewards/margins": 0.
|
574 |
-
"rewards/rejected": -0.
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.96,
|
579 |
"learning_rate": 2.3150941078050325e-08,
|
580 |
-
"logits/chosen": -2.
|
581 |
-
"logits/rejected": -2.
|
582 |
-
"logps/chosen": -33.
|
583 |
-
"logps/rejected": -29.
|
584 |
-
"loss": 0.
|
585 |
-
"rewards/accuracies": 0.
|
586 |
-
"rewards/chosen": 0.
|
587 |
-
"rewards/margins": 0.
|
588 |
-
"rewards/rejected": -0.
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.99,
|
593 |
"learning_rate": 2.575864278703266e-09,
|
594 |
-
"logits/chosen": -1.
|
595 |
-
"logits/rejected": -1.
|
596 |
-
"logps/chosen": -33.
|
597 |
-
"logps/rejected": -30.
|
598 |
-
"loss": 0.
|
599 |
-
"rewards/accuracies": 0.
|
600 |
-
"rewards/chosen": 0.
|
601 |
-
"rewards/margins": 0.
|
602 |
-
"rewards/rejected": -0.
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 1.0,
|
607 |
"step": 385,
|
608 |
"total_flos": 0.0,
|
609 |
-
"train_loss": 0.
|
610 |
-
"train_runtime":
|
611 |
-
"train_samples_per_second": 0.
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|
614 |
],
|
|
|
15 |
"logits/rejected": -1.7377450466156006,
|
16 |
"logps/chosen": -29.553977966308594,
|
17 |
"logps/rejected": -42.813133239746094,
|
18 |
+
"loss": 0.6931,
|
19 |
"rewards/accuracies": 0.0,
|
20 |
"rewards/chosen": 0.0,
|
21 |
"rewards/margins": 0.0,
|
|
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
"learning_rate": 1.282051282051282e-06,
|
28 |
+
"logits/chosen": -1.8665436506271362,
|
29 |
+
"logits/rejected": -1.8708542585372925,
|
30 |
+
"logps/chosen": -36.982460021972656,
|
31 |
+
"logps/rejected": -33.656585693359375,
|
32 |
+
"loss": 0.6882,
|
33 |
+
"rewards/accuracies": 0.5138888955116272,
|
34 |
+
"rewards/chosen": 0.0048276386223733425,
|
35 |
+
"rewards/margins": 0.010130541399121284,
|
36 |
+
"rewards/rejected": -0.005302901845425367,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05,
|
41 |
"learning_rate": 2.564102564102564e-06,
|
42 |
+
"logits/chosen": -1.9975639581680298,
|
43 |
+
"logits/rejected": -2.000220537185669,
|
44 |
+
"logps/chosen": -29.6324462890625,
|
45 |
+
"logps/rejected": -29.057437896728516,
|
46 |
+
"loss": 0.693,
|
47 |
+
"rewards/accuracies": 0.512499988079071,
|
48 |
+
"rewards/chosen": 0.0019495869055390358,
|
49 |
+
"rewards/margins": 0.0007479515625163913,
|
50 |
+
"rewards/rejected": 0.0012016354594379663,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
"learning_rate": 3.846153846153847e-06,
|
56 |
+
"logits/chosen": -1.9208921194076538,
|
57 |
+
"logits/rejected": -1.918195128440857,
|
58 |
+
"logps/chosen": -31.420969009399414,
|
59 |
+
"logps/rejected": -33.22509765625,
|
60 |
+
"loss": 0.6932,
|
61 |
+
"rewards/accuracies": 0.48750001192092896,
|
62 |
+
"rewards/chosen": -0.000974868715275079,
|
63 |
+
"rewards/margins": 0.0003514128620736301,
|
64 |
+
"rewards/rejected": -0.0013262818101793528,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.1,
|
69 |
"learning_rate": 4.999896948438434e-06,
|
70 |
+
"logits/chosen": -2.018131971359253,
|
71 |
+
"logits/rejected": -2.0093750953674316,
|
72 |
+
"logps/chosen": -32.56100082397461,
|
73 |
+
"logps/rejected": -32.525699615478516,
|
74 |
+
"loss": 0.6905,
|
75 |
+
"rewards/accuracies": 0.512499988079071,
|
76 |
+
"rewards/chosen": 0.0031610552687197924,
|
77 |
+
"rewards/margins": 0.0057663023471832275,
|
78 |
+
"rewards/rejected": -0.002605247776955366,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.13,
|
83 |
"learning_rate": 4.987541037542187e-06,
|
84 |
+
"logits/chosen": -1.8627980947494507,
|
85 |
+
"logits/rejected": -1.852043867111206,
|
86 |
+
"logps/chosen": -33.57464599609375,
|
87 |
+
"logps/rejected": -35.459083557128906,
|
88 |
+
"loss": 0.6945,
|
89 |
+
"rewards/accuracies": 0.4625000059604645,
|
90 |
+
"rewards/chosen": -0.003433463629335165,
|
91 |
+
"rewards/margins": -0.0020852875895798206,
|
92 |
+
"rewards/rejected": -0.0013481763890013099,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.16,
|
97 |
"learning_rate": 4.954691471941119e-06,
|
98 |
+
"logits/chosen": -1.9412128925323486,
|
99 |
+
"logits/rejected": -1.9431606531143188,
|
100 |
+
"logps/chosen": -32.51996612548828,
|
101 |
+
"logps/rejected": -33.226768493652344,
|
102 |
+
"loss": 0.6806,
|
103 |
"rewards/accuracies": 0.5625,
|
104 |
+
"rewards/chosen": 0.01604365184903145,
|
105 |
+
"rewards/margins": 0.02712194062769413,
|
106 |
+
"rewards/rejected": -0.011078287847340107,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.18,
|
111 |
"learning_rate": 4.901618883413549e-06,
|
112 |
+
"logits/chosen": -2.072383165359497,
|
113 |
+
"logits/rejected": -2.0773634910583496,
|
114 |
+
"logps/chosen": -33.964813232421875,
|
115 |
+
"logps/rejected": -36.62574005126953,
|
116 |
+
"loss": 0.6861,
|
117 |
"rewards/accuracies": 0.5625,
|
118 |
+
"rewards/chosen": 0.004735334776341915,
|
119 |
+
"rewards/margins": 0.016109289601445198,
|
120 |
+
"rewards/rejected": -0.011373954825103283,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.21,
|
125 |
"learning_rate": 4.828760511501322e-06,
|
126 |
+
"logits/chosen": -1.9332096576690674,
|
127 |
+
"logits/rejected": -1.9363422393798828,
|
128 |
+
"logps/chosen": -34.310150146484375,
|
129 |
+
"logps/rejected": -34.669891357421875,
|
130 |
+
"loss": 0.6749,
|
131 |
"rewards/accuracies": 0.625,
|
132 |
+
"rewards/chosen": 0.023532329127192497,
|
133 |
+
"rewards/margins": 0.03902902454137802,
|
134 |
+
"rewards/rejected": -0.015496693551540375,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.23,
|
139 |
"learning_rate": 4.7367166013034295e-06,
|
140 |
+
"logits/chosen": -1.9401609897613525,
|
141 |
+
"logits/rejected": -1.944685935974121,
|
142 |
+
"logps/chosen": -32.39472961425781,
|
143 |
+
"logps/rejected": -32.360809326171875,
|
144 |
+
"loss": 0.6865,
|
145 |
+
"rewards/accuracies": 0.625,
|
146 |
+
"rewards/chosen": 0.01453828252851963,
|
147 |
+
"rewards/margins": 0.014918209984898567,
|
148 |
+
"rewards/rejected": -0.000379929319024086,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.26,
|
153 |
"learning_rate": 4.626245458345211e-06,
|
154 |
+
"logits/chosen": -2.0377113819122314,
|
155 |
+
"logits/rejected": -2.035726308822632,
|
156 |
+
"logps/chosen": -32.14560317993164,
|
157 |
+
"logps/rejected": -31.297948837280273,
|
158 |
+
"loss": 0.6813,
|
159 |
+
"rewards/accuracies": 0.6000000238418579,
|
160 |
+
"rewards/chosen": 0.01904645375907421,
|
161 |
+
"rewards/margins": 0.0253940187394619,
|
162 |
+
"rewards/rejected": -0.006347564049065113,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.26,
|
167 |
+
"eval_logits/chosen": -2.231863498687744,
|
168 |
+
"eval_logits/rejected": -2.227025270462036,
|
169 |
+
"eval_logps/chosen": -34.02951431274414,
|
170 |
+
"eval_logps/rejected": -37.534454345703125,
|
171 |
+
"eval_loss": 0.6914929151535034,
|
172 |
+
"eval_rewards/accuracies": 0.5220099687576294,
|
173 |
+
"eval_rewards/chosen": 0.0010076783364638686,
|
174 |
+
"eval_rewards/margins": 0.004574176389724016,
|
175 |
+
"eval_rewards/rejected": -0.0035664979368448257,
|
176 |
+
"eval_runtime": 145.7925,
|
177 |
+
"eval_samples_per_second": 2.353,
|
178 |
"eval_steps_per_second": 0.295,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.29,
|
183 |
"learning_rate": 4.498257201263691e-06,
|
184 |
+
"logits/chosen": -1.992661476135254,
|
185 |
+
"logits/rejected": -1.9902756214141846,
|
186 |
+
"logps/chosen": -33.13728713989258,
|
187 |
+
"logps/rejected": -34.051490783691406,
|
188 |
+
"loss": 0.6834,
|
189 |
+
"rewards/accuracies": 0.6499999761581421,
|
190 |
+
"rewards/chosen": 0.02130572497844696,
|
191 |
+
"rewards/margins": 0.025729293003678322,
|
192 |
+
"rewards/rejected": -0.004423565696924925,
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.31,
|
197 |
"learning_rate": 4.353806263777678e-06,
|
198 |
+
"logits/chosen": -2.0037741661071777,
|
199 |
+
"logits/rejected": -1.995439887046814,
|
200 |
+
"logps/chosen": -32.33051681518555,
|
201 |
+
"logps/rejected": -32.13713836669922,
|
202 |
+
"loss": 0.6853,
|
203 |
+
"rewards/accuracies": 0.5874999761581421,
|
204 |
+
"rewards/chosen": 0.022878289222717285,
|
205 |
+
"rewards/margins": 0.01800495944917202,
|
206 |
+
"rewards/rejected": 0.004873327445238829,
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.34,
|
211 |
"learning_rate": 4.1940827077152755e-06,
|
212 |
+
"logits/chosen": -2.032257318496704,
|
213 |
+
"logits/rejected": -2.024292230606079,
|
214 |
+
"logps/chosen": -30.306774139404297,
|
215 |
+
"logps/rejected": -32.081024169921875,
|
216 |
+
"loss": 0.6754,
|
217 |
+
"rewards/accuracies": 0.6499999761581421,
|
218 |
+
"rewards/chosen": 0.03378837928175926,
|
219 |
+
"rewards/margins": 0.03939158096909523,
|
220 |
+
"rewards/rejected": -0.00560319609940052,
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.36,
|
225 |
"learning_rate": 4.0204024186666215e-06,
|
226 |
+
"logits/chosen": -1.9630043506622314,
|
227 |
+
"logits/rejected": -1.973233938217163,
|
228 |
+
"logps/chosen": -31.224035263061523,
|
229 |
+
"logps/rejected": -32.56679916381836,
|
230 |
+
"loss": 0.6718,
|
231 |
+
"rewards/accuracies": 0.675000011920929,
|
232 |
+
"rewards/chosen": 0.0391254760324955,
|
233 |
+
"rewards/margins": 0.045508723706007004,
|
234 |
+
"rewards/rejected": -0.006383246276527643,
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.39,
|
239 |
"learning_rate": 3.834196265035119e-06,
|
240 |
+
"logits/chosen": -1.874066710472107,
|
241 |
+
"logits/rejected": -1.8752658367156982,
|
242 |
+
"logps/chosen": -33.90449905395508,
|
243 |
+
"logps/rejected": -34.78742218017578,
|
244 |
+
"loss": 0.6642,
|
245 |
+
"rewards/accuracies": 0.6000000238418579,
|
246 |
+
"rewards/chosen": 0.05763882398605347,
|
247 |
+
"rewards/margins": 0.06367169320583344,
|
248 |
+
"rewards/rejected": -0.006032869219779968,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.42,
|
253 |
"learning_rate": 3.636998309800573e-06,
|
254 |
+
"logits/chosen": -1.9251247644424438,
|
255 |
+
"logits/rejected": -1.9217197895050049,
|
256 |
+
"logps/chosen": -36.002262115478516,
|
257 |
+
"logps/rejected": -32.70859909057617,
|
258 |
+
"loss": 0.6788,
|
259 |
+
"rewards/accuracies": 0.6000000238418579,
|
260 |
+
"rewards/chosen": 0.03388362005352974,
|
261 |
+
"rewards/margins": 0.031053191050887108,
|
262 |
+
"rewards/rejected": 0.0028304329607635736,
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.44,
|
267 |
"learning_rate": 3.4304331721118078e-06,
|
268 |
+
"logits/chosen": -2.025562286376953,
|
269 |
+
"logits/rejected": -2.018228530883789,
|
270 |
+
"logps/chosen": -33.46672439575195,
|
271 |
+
"logps/rejected": -31.409042358398438,
|
272 |
+
"loss": 0.657,
|
273 |
+
"rewards/accuracies": 0.699999988079071,
|
274 |
+
"rewards/chosen": 0.06622789800167084,
|
275 |
+
"rewards/margins": 0.07766623049974442,
|
276 |
+
"rewards/rejected": -0.011438337154686451,
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.47,
|
281 |
"learning_rate": 3.2162026428305436e-06,
|
282 |
+
"logits/chosen": -2.0323550701141357,
|
283 |
+
"logits/rejected": -2.037605047225952,
|
284 |
+
"logps/chosen": -32.23218536376953,
|
285 |
+
"logps/rejected": -32.439491271972656,
|
286 |
+
"loss": 0.6682,
|
287 |
+
"rewards/accuracies": 0.675000011920929,
|
288 |
+
"rewards/chosen": 0.06252055615186691,
|
289 |
+
"rewards/margins": 0.05339093878865242,
|
290 |
+
"rewards/rejected": 0.009129621088504791,
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.49,
|
295 |
"learning_rate": 2.996071664294641e-06,
|
296 |
+
"logits/chosen": -2.0334537029266357,
|
297 |
+
"logits/rejected": -2.030702590942383,
|
298 |
+
"logps/chosen": -31.266775131225586,
|
299 |
+
"logps/rejected": -31.347997665405273,
|
300 |
+
"loss": 0.67,
|
301 |
+
"rewards/accuracies": 0.675000011920929,
|
302 |
+
"rewards/chosen": 0.04443611577153206,
|
303 |
+
"rewards/margins": 0.050393205136060715,
|
304 |
+
"rewards/rejected": -0.005957084707915783,
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.52,
|
309 |
"learning_rate": 2.7718537898066833e-06,
|
310 |
+
"logits/chosen": -1.9037307500839233,
|
311 |
+
"logits/rejected": -1.9083878993988037,
|
312 |
+
"logps/chosen": -31.30868148803711,
|
313 |
+
"logps/rejected": -32.823123931884766,
|
314 |
+
"loss": 0.6632,
|
315 |
+
"rewards/accuracies": 0.6875,
|
316 |
+
"rewards/chosen": 0.05951983854174614,
|
317 |
+
"rewards/margins": 0.0659579336643219,
|
318 |
+
"rewards/rejected": -0.006438094191253185,
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.52,
|
323 |
+
"eval_logits/chosen": -2.22880482673645,
|
324 |
+
"eval_logits/rejected": -2.2239701747894287,
|
325 |
+
"eval_logps/chosen": -34.05141067504883,
|
326 |
+
"eval_logps/rejected": -37.58522033691406,
|
327 |
+
"eval_loss": 0.6888246536254883,
|
328 |
+
"eval_rewards/accuracies": 0.5660299062728882,
|
329 |
+
"eval_rewards/chosen": -0.003371814964339137,
|
330 |
+
"eval_rewards/margins": 0.01034836657345295,
|
331 |
+
"eval_rewards/rejected": -0.013720180839300156,
|
332 |
+
"eval_runtime": 145.665,
|
333 |
+
"eval_samples_per_second": 2.355,
|
334 |
"eval_steps_per_second": 0.295,
|
335 |
"step": 200
|
336 |
},
|
337 |
{
|
338 |
"epoch": 0.55,
|
339 |
"learning_rate": 2.5453962426402006e-06,
|
340 |
+
"logits/chosen": -2.016369342803955,
|
341 |
+
"logits/rejected": -2.027027130126953,
|
342 |
+
"logps/chosen": -31.75009536743164,
|
343 |
+
"logps/rejected": -33.965911865234375,
|
344 |
+
"loss": 0.6631,
|
345 |
+
"rewards/accuracies": 0.6875,
|
346 |
+
"rewards/chosen": 0.04424174129962921,
|
347 |
+
"rewards/margins": 0.06488426774740219,
|
348 |
+
"rewards/rejected": -0.020642530173063278,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.57,
|
353 |
"learning_rate": 2.3185646976551794e-06,
|
354 |
+
"logits/chosen": -1.909157156944275,
|
355 |
+
"logits/rejected": -1.9239362478256226,
|
356 |
+
"logps/chosen": -29.8031005859375,
|
357 |
+
"logps/rejected": -31.647253036499023,
|
358 |
+
"loss": 0.6564,
|
359 |
+
"rewards/accuracies": 0.7124999761581421,
|
360 |
+
"rewards/chosen": 0.06168792396783829,
|
361 |
+
"rewards/margins": 0.07950346171855927,
|
362 |
+
"rewards/rejected": -0.017815548926591873,
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.6,
|
367 |
"learning_rate": 2.0932279108998323e-06,
|
368 |
+
"logits/chosen": -1.9656283855438232,
|
369 |
+
"logits/rejected": -1.9696086645126343,
|
370 |
+
"logps/chosen": -33.09147644042969,
|
371 |
+
"logps/rejected": -31.6539306640625,
|
372 |
+
"loss": 0.6543,
|
373 |
+
"rewards/accuracies": 0.699999988079071,
|
374 |
+
"rewards/chosen": 0.06519898772239685,
|
375 |
+
"rewards/margins": 0.08612470328807831,
|
376 |
+
"rewards/rejected": -0.02092570997774601,
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.62,
|
381 |
"learning_rate": 1.8712423238279358e-06,
|
382 |
+
"logits/chosen": -1.963721513748169,
|
383 |
+
"logits/rejected": -1.9419059753417969,
|
384 |
+
"logps/chosen": -33.84326934814453,
|
385 |
+
"logps/rejected": -35.13850784301758,
|
386 |
+
"loss": 0.6479,
|
387 |
+
"rewards/accuracies": 0.737500011920929,
|
388 |
+
"rewards/chosen": 0.06209472939372063,
|
389 |
+
"rewards/margins": 0.0996372401714325,
|
390 |
+
"rewards/rejected": -0.03754251450300217,
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.65,
|
395 |
"learning_rate": 1.6544367689701824e-06,
|
396 |
+
"logits/chosen": -2.004868268966675,
|
397 |
+
"logits/rejected": -2.0015549659729004,
|
398 |
+
"logps/chosen": -32.729896545410156,
|
399 |
+
"logps/rejected": -36.27812957763672,
|
400 |
+
"loss": 0.6706,
|
401 |
+
"rewards/accuracies": 0.5874999761581421,
|
402 |
+
"rewards/chosen": 0.03903444483876228,
|
403 |
+
"rewards/margins": 0.04967557638883591,
|
404 |
+
"rewards/rejected": -0.010641133412718773,
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.68,
|
409 |
"learning_rate": 1.4445974030621963e-06,
|
410 |
+
"logits/chosen": -1.8725497722625732,
|
411 |
+
"logits/rejected": -1.8701589107513428,
|
412 |
+
"logps/chosen": -33.99323654174805,
|
413 |
+
"logps/rejected": -35.557159423828125,
|
414 |
+
"loss": 0.6706,
|
415 |
+
"rewards/accuracies": 0.699999988079071,
|
416 |
+
"rewards/chosen": 0.039031852036714554,
|
417 |
+
"rewards/margins": 0.04953894019126892,
|
418 |
+
"rewards/rejected": -0.010507088154554367,
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7,
|
423 |
"learning_rate": 1.243452991757889e-06,
|
424 |
+
"logits/chosen": -1.8571383953094482,
|
425 |
+
"logits/rejected": -1.854741096496582,
|
426 |
+
"logps/chosen": -34.20746612548828,
|
427 |
+
"logps/rejected": -31.83416748046875,
|
428 |
+
"loss": 0.6708,
|
429 |
+
"rewards/accuracies": 0.6000000238418579,
|
430 |
+
"rewards/chosen": 0.0380266010761261,
|
431 |
+
"rewards/margins": 0.05059366300702095,
|
432 |
+
"rewards/rejected": -0.01256705541163683,
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.73,
|
437 |
"learning_rate": 1.0526606671603523e-06,
|
438 |
+
"logits/chosen": -1.9600715637207031,
|
439 |
+
"logits/rejected": -1.9495933055877686,
|
440 |
+
"logps/chosen": -34.99934387207031,
|
441 |
+
"logps/rejected": -31.900096893310547,
|
442 |
+
"loss": 0.6544,
|
443 |
"rewards/accuracies": 0.7124999761581421,
|
444 |
+
"rewards/chosen": 0.07145937532186508,
|
445 |
+
"rewards/margins": 0.08328022807836533,
|
446 |
+
"rewards/rejected": -0.011820845305919647,
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.75,
|
451 |
"learning_rate": 8.737922755071455e-07,
|
452 |
+
"logits/chosen": -2.0559241771698,
|
453 |
+
"logits/rejected": -2.04101300239563,
|
454 |
+
"logps/chosen": -30.744888305664062,
|
455 |
+
"logps/rejected": -32.62079620361328,
|
456 |
+
"loss": 0.6809,
|
457 |
+
"rewards/accuracies": 0.5375000238418579,
|
458 |
+
"rewards/chosen": 0.035847391933202744,
|
459 |
+
"rewards/margins": 0.029639026150107384,
|
460 |
+
"rewards/rejected": 0.006208371836692095,
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.78,
|
465 |
"learning_rate": 7.08321427484816e-07,
|
466 |
+
"logits/chosen": -1.9259971380233765,
|
467 |
+
"logits/rejected": -1.9234883785247803,
|
468 |
+
"logps/chosen": -32.35750961303711,
|
469 |
+
"logps/rejected": -30.92331314086914,
|
470 |
+
"loss": 0.6327,
|
471 |
+
"rewards/accuracies": 0.7875000238418579,
|
472 |
+
"rewards/chosen": 0.11392021179199219,
|
473 |
+
"rewards/margins": 0.13522081077098846,
|
474 |
+
"rewards/rejected": -0.021300604566931725,
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.78,
|
479 |
+
"eval_logits/chosen": -2.2262163162231445,
|
480 |
+
"eval_logits/rejected": -2.2213830947875977,
|
481 |
+
"eval_logps/chosen": -34.093963623046875,
|
482 |
+
"eval_logps/rejected": -37.60972213745117,
|
483 |
+
"eval_loss": 0.6908519268035889,
|
484 |
+
"eval_rewards/accuracies": 0.49501657485961914,
|
485 |
+
"eval_rewards/chosen": -0.011881927028298378,
|
486 |
+
"eval_rewards/margins": 0.006738076452165842,
|
487 |
+
"eval_rewards/rejected": -0.018620004877448082,
|
488 |
+
"eval_runtime": 145.4585,
|
489 |
+
"eval_samples_per_second": 2.358,
|
490 |
+
"eval_steps_per_second": 0.296,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.81,
|
495 |
"learning_rate": 5.576113578589035e-07,
|
496 |
+
"logits/chosen": -1.9112951755523682,
|
497 |
+
"logits/rejected": -1.9080655574798584,
|
498 |
+
"logps/chosen": -31.314626693725586,
|
499 |
+
"logps/rejected": -33.85969543457031,
|
500 |
+
"loss": 0.6566,
|
501 |
+
"rewards/accuracies": 0.762499988079071,
|
502 |
+
"rewards/chosen": 0.05774437263607979,
|
503 |
+
"rewards/margins": 0.08125325292348862,
|
504 |
+
"rewards/rejected": -0.023508887737989426,
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.83,
|
509 |
"learning_rate": 4.229036944380913e-07,
|
510 |
+
"logits/chosen": -1.960738182067871,
|
511 |
+
"logits/rejected": -1.9485470056533813,
|
512 |
+
"logps/chosen": -34.32622528076172,
|
513 |
+
"logps/rejected": -33.65083312988281,
|
514 |
+
"loss": 0.6586,
|
515 |
+
"rewards/accuracies": 0.637499988079071,
|
516 |
+
"rewards/chosen": 0.0539703294634819,
|
517 |
+
"rewards/margins": 0.0763682946562767,
|
518 |
+
"rewards/rejected": -0.022397976368665695,
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.86,
|
523 |
"learning_rate": 3.053082288996112e-07,
|
524 |
+
"logits/chosen": -1.9961421489715576,
|
525 |
+
"logits/rejected": -1.9947240352630615,
|
526 |
+
"logps/chosen": -33.134159088134766,
|
527 |
+
"logps/rejected": -32.56267547607422,
|
528 |
+
"loss": 0.6536,
|
529 |
+
"rewards/accuracies": 0.762499988079071,
|
530 |
+
"rewards/chosen": 0.07032694667577744,
|
531 |
+
"rewards/margins": 0.08694546669721603,
|
532 |
+
"rewards/rejected": -0.0166185162961483,
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.88,
|
537 |
"learning_rate": 2.0579377374915805e-07,
|
538 |
+
"logits/chosen": -2.083061933517456,
|
539 |
+
"logits/rejected": -2.0673813819885254,
|
540 |
+
"logps/chosen": -33.78687286376953,
|
541 |
+
"logps/rejected": -33.12049102783203,
|
542 |
+
"loss": 0.6568,
|
543 |
+
"rewards/accuracies": 0.75,
|
544 |
+
"rewards/chosen": 0.07850398868322372,
|
545 |
+
"rewards/margins": 0.07899539172649384,
|
546 |
+
"rewards/rejected": -0.0004914018791168928,
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.91,
|
551 |
"learning_rate": 1.2518018074041684e-07,
|
552 |
+
"logits/chosen": -1.9557991027832031,
|
553 |
+
"logits/rejected": -1.9549639225006104,
|
554 |
+
"logps/chosen": -32.84474563598633,
|
555 |
+
"logps/rejected": -32.53619384765625,
|
556 |
+
"loss": 0.648,
|
557 |
+
"rewards/accuracies": 0.675000011920929,
|
558 |
+
"rewards/chosen": 0.0874704122543335,
|
559 |
+
"rewards/margins": 0.10167930275201797,
|
560 |
+
"rewards/rejected": -0.014208881184458733,
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.94,
|
565 |
"learning_rate": 6.41315865106129e-08,
|
566 |
+
"logits/chosen": -1.9108169078826904,
|
567 |
+
"logits/rejected": -1.9210844039916992,
|
568 |
+
"logps/chosen": -31.8836612701416,
|
569 |
+
"logps/rejected": -35.36156463623047,
|
570 |
+
"loss": 0.6572,
|
571 |
+
"rewards/accuracies": 0.6875,
|
572 |
+
"rewards/chosen": 0.06420587003231049,
|
573 |
+
"rewards/margins": 0.07876714318990707,
|
574 |
+
"rewards/rejected": -0.014561265707015991,
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.96,
|
579 |
"learning_rate": 2.3150941078050325e-08,
|
580 |
+
"logits/chosen": -2.0503978729248047,
|
581 |
+
"logits/rejected": -2.043942928314209,
|
582 |
+
"logps/chosen": -33.33507537841797,
|
583 |
+
"logps/rejected": -29.28571128845215,
|
584 |
+
"loss": 0.6582,
|
585 |
+
"rewards/accuracies": 0.75,
|
586 |
+
"rewards/chosen": 0.06337906420230865,
|
587 |
+
"rewards/margins": 0.07523626834154129,
|
588 |
+
"rewards/rejected": -0.011857211589813232,
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.99,
|
593 |
"learning_rate": 2.575864278703266e-09,
|
594 |
+
"logits/chosen": -1.9104009866714478,
|
595 |
+
"logits/rejected": -1.9126161336898804,
|
596 |
+
"logps/chosen": -33.88220977783203,
|
597 |
+
"logps/rejected": -30.987438201904297,
|
598 |
+
"loss": 0.65,
|
599 |
+
"rewards/accuracies": 0.7250000238418579,
|
600 |
+
"rewards/chosen": 0.07136790454387665,
|
601 |
+
"rewards/margins": 0.09433047473430634,
|
602 |
+
"rewards/rejected": -0.02296256460249424,
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 1.0,
|
607 |
"step": 385,
|
608 |
"total_flos": 0.0,
|
609 |
+
"train_loss": 0.6689951481757226,
|
610 |
+
"train_runtime": 3249.3574,
|
611 |
+
"train_samples_per_second": 0.948,
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|
614 |
],
|