hugodk-sch
commited on
Commit
•
b8a668a
1
Parent(s):
19744c4
Model save
Browse files- README.md +13 -16
- adapter_model.safetensors +1 -1
- all_results.json +2 -15
- train_results.json +2 -2
- trainer_state.json +372 -372
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:
|
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: 0.6902
|
21 |
+
- Rewards/chosen: 0.0156
|
22 |
+
- Rewards/rejected: 0.0052
|
23 |
+
- Rewards/accuracies: 0.5133
|
24 |
+
- Rewards/margins: 0.0103
|
25 |
+
- Logps/rejected: -37.5091
|
26 |
+
- Logps/chosen: -34.0123
|
27 |
+
- Logits/rejected: -2.2392
|
28 |
+
- Logits/chosen: -2.2441
|
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 |
+
| 0.6821 | 0.26 | 100 | 0.6996 | 0.0061 | 0.0150 | 0.4805 | -0.0088 | -37.4952 | -34.0258 | -2.2393 | -2.2442 |
|
64 |
+
| 0.6938 | 0.52 | 200 | 0.6978 | 0.0050 | 0.0098 | 0.4817 | -0.0048 | -37.5027 | -34.0275 | -2.2389 | -2.2438 |
|
65 |
+
| 0.681 | 0.78 | 300 | 0.6902 | 0.0156 | 0.0052 | 0.5133 | 0.0103 | -37.5091 | -34.0123 | -2.2392 | -2.2441 |
|
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:fad833e10db9e8b4254a027fa666bb7c4f87d8c271d8f457b338262c20a03e39
|
3 |
size 176183216
|
all_results.json
CHANGED
@@ -1,20 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"eval_logps/chosen": -34.03020095825195,
|
6 |
-
"eval_logps/rejected": -37.50043869018555,
|
7 |
-
"eval_loss": 0.6983639597892761,
|
8 |
-
"eval_rewards/accuracies": 0.4987541437149048,
|
9 |
-
"eval_rewards/chosen": 0.0026094578206539154,
|
10 |
-
"eval_rewards/margins": -0.007098525296896696,
|
11 |
-
"eval_rewards/rejected": 0.00970798172056675,
|
12 |
-
"eval_runtime": 145.7128,
|
13 |
-
"eval_samples": 343,
|
14 |
-
"eval_samples_per_second": 2.354,
|
15 |
-
"eval_steps_per_second": 0.295,
|
16 |
-
"train_loss": 0.6911570282725544,
|
17 |
-
"train_runtime": 3257.344,
|
18 |
"train_samples": 3079,
|
19 |
"train_samples_per_second": 0.945,
|
20 |
"train_steps_per_second": 0.118
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.6898305428492558,
|
4 |
+
"train_runtime": 3256.6227,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"train_samples": 3079,
|
6 |
"train_samples_per_second": 0.945,
|
7 |
"train_steps_per_second": 0.118
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 3079,
|
6 |
"train_samples_per_second": 0.945,
|
7 |
"train_steps_per_second": 0.118
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.6898305428492558,
|
4 |
+
"train_runtime": 3256.6227,
|
5 |
"train_samples": 3079,
|
6 |
"train_samples_per_second": 0.945,
|
7 |
"train_steps_per_second": 0.118
|
trainer_state.json
CHANGED
@@ -25,589 +25,589 @@
|
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
"learning_rate": 1.2820512820512818e-07,
|
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": 2.5641025641025636e-07,
|
42 |
-
"logits/chosen": -1.
|
43 |
-
"logits/rejected": -2.
|
44 |
-
"logps/chosen": -29.
|
45 |
-
"logps/rejected": -29.
|
46 |
-
"loss": 0.
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen": 0.
|
49 |
-
"rewards/margins":
|
50 |
-
"rewards/rejected": 0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
"learning_rate": 3.8461538461538463e-07,
|
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": 4.999896948438433e-07,
|
70 |
-
"logits/chosen": -2.
|
71 |
-
"logits/rejected": -2.
|
72 |
-
"logps/chosen": -32.
|
73 |
-
"logps/rejected": -32.
|
74 |
-
"loss": 0.
|
75 |
-
"rewards/accuracies": 0.
|
76 |
-
"rewards/chosen": -0.
|
77 |
-
"rewards/margins": -0.
|
78 |
-
"rewards/rejected": 0.
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.13,
|
83 |
"learning_rate": 4.987541037542186e-07,
|
84 |
-
"logits/chosen": -1.
|
85 |
-
"logits/rejected": -1.
|
86 |
-
"logps/chosen": -33.
|
87 |
-
"logps/rejected": -35.
|
88 |
-
"loss": 0.
|
89 |
"rewards/accuracies": 0.4625000059604645,
|
90 |
-
"rewards/chosen":
|
91 |
-
"rewards/margins": -0.
|
92 |
-
"rewards/rejected": 0.
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.16,
|
97 |
"learning_rate": 4.954691471941118e-07,
|
98 |
-
"logits/chosen": -1.
|
99 |
-
"logits/rejected": -1.
|
100 |
-
"logps/chosen": -32.
|
101 |
-
"logps/rejected": -33.
|
102 |
-
"loss": 0.
|
103 |
-
"rewards/accuracies": 0.
|
104 |
-
"rewards/chosen": 0.
|
105 |
-
"rewards/margins": 0.
|
106 |
-
"rewards/rejected": -0.
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.18,
|
111 |
"learning_rate": 4.901618883413548e-07,
|
112 |
-
"logits/chosen": -2.
|
113 |
-
"logits/rejected": -2.
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -36.
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
118 |
-
"rewards/chosen":
|
119 |
-
"rewards/margins": 0.
|
120 |
-
"rewards/rejected": -0.
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.21,
|
125 |
"learning_rate": 4.828760511501322e-07,
|
126 |
-
"logits/chosen": -1.
|
127 |
-
"logits/rejected": -1.
|
128 |
-
"logps/chosen": -34.
|
129 |
-
"logps/rejected": -34.
|
130 |
-
"loss": 0.
|
131 |
-
"rewards/accuracies": 0.
|
132 |
-
"rewards/chosen": 0.
|
133 |
-
"rewards/margins": 0.
|
134 |
-
"rewards/rejected": 0.
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.23,
|
139 |
"learning_rate": 4.736716601303429e-07,
|
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": 4.62624545834521e-07,
|
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": 146.
|
177 |
-
"eval_samples_per_second": 2.
|
178 |
"eval_steps_per_second": 0.294,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.29,
|
183 |
"learning_rate": 4.4982572012636904e-07,
|
184 |
-
"logits/chosen": -2.
|
185 |
-
"logits/rejected": -2.
|
186 |
-
"logps/chosen": -33.
|
187 |
-
"logps/rejected": -34.
|
188 |
-
"loss": 0.
|
189 |
-
"rewards/accuracies": 0.
|
190 |
-
"rewards/chosen":
|
191 |
-
"rewards/margins":
|
192 |
-
"rewards/rejected": 0.
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.31,
|
197 |
"learning_rate": 4.353806263777677e-07,
|
198 |
-
"logits/chosen": -2.
|
199 |
-
"logits/rejected": -2.
|
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": 4.194082707715275e-07,
|
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": 4.020402418666621e-07,
|
226 |
-
"logits/chosen": -1.
|
227 |
-
"logits/rejected": -1.
|
228 |
-
"logps/chosen": -31.
|
229 |
-
"logps/rejected": -32.
|
230 |
-
"loss": 0.
|
231 |
"rewards/accuracies": 0.550000011920929,
|
232 |
-
"rewards/chosen": 0.
|
233 |
-
"rewards/margins": 0.
|
234 |
-
"rewards/rejected": -0.
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.39,
|
239 |
"learning_rate": 3.8341962650351185e-07,
|
240 |
-
"logits/chosen": -1.
|
241 |
-
"logits/rejected": -1.
|
242 |
-
"logps/chosen": -34.
|
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": 3.636998309800572e-07,
|
254 |
-
"logits/chosen": -1.
|
255 |
-
"logits/rejected": -1.
|
256 |
-
"logps/chosen": -36.
|
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": 3.430433172111807e-07,
|
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": 3.216202642830543e-07,
|
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": 2.9960716642946403e-07,
|
296 |
-
"logits/chosen": -2.
|
297 |
-
"logits/rejected": -2.
|
298 |
-
"logps/chosen": -31.
|
299 |
-
"logps/rejected": -31.
|
300 |
-
"loss": 0.
|
301 |
"rewards/accuracies": 0.550000011920929,
|
302 |
-
"rewards/chosen": 0.
|
303 |
-
"rewards/margins": 0.
|
304 |
-
"rewards/rejected": -0.
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.52,
|
309 |
"learning_rate": 2.771853789806683e-07,
|
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":
|
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": 2.5453962426402e-07,
|
340 |
-
"logits/chosen": -2.
|
341 |
-
"logits/rejected": -2.
|
342 |
-
"logps/chosen": -31.
|
343 |
-
"logps/rejected": -33.
|
344 |
-
"loss": 0.
|
345 |
"rewards/accuracies": 0.5249999761581421,
|
346 |
-
"rewards/chosen": 0.
|
347 |
-
"rewards/margins": 0.
|
348 |
-
"rewards/rejected": -0.
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.57,
|
353 |
"learning_rate": 2.318564697655179e-07,
|
354 |
-
"logits/chosen": -1.
|
355 |
-
"logits/rejected": -1.
|
356 |
-
"logps/chosen": -30.
|
357 |
-
"logps/rejected": -31.
|
358 |
-
"loss": 0.
|
359 |
-
"rewards/accuracies": 0.
|
360 |
-
"rewards/chosen": 0.
|
361 |
-
"rewards/margins": 0.
|
362 |
-
"rewards/rejected":
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.6,
|
367 |
"learning_rate": 2.093227910899832e-07,
|
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": 1.8712423238279356e-07,
|
382 |
-
"logits/chosen": -1.
|
383 |
-
"logits/rejected": -1.
|
384 |
-
"logps/chosen": -34.
|
385 |
-
"logps/rejected": -34.
|
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": 1.654436768970182e-07,
|
396 |
-
"logits/chosen": -2.
|
397 |
-
"logits/rejected": -2.
|
398 |
-
"logps/chosen": -32.
|
399 |
-
"logps/rejected": -36.
|
400 |
-
"loss": 0.
|
401 |
-
"rewards/accuracies": 0.
|
402 |
-
"rewards/chosen":
|
403 |
-
"rewards/margins":
|
404 |
-
"rewards/rejected": -0.
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.68,
|
409 |
"learning_rate": 1.444597403062196e-07,
|
410 |
-
"logits/chosen": -1.
|
411 |
-
"logits/rejected": -1.
|
412 |
-
"logps/chosen": -34.
|
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": 1.2434529917578887e-07,
|
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": 1.0526606671603521e-07,
|
438 |
-
"logits/chosen": -1.
|
439 |
-
"logits/rejected": -1.
|
440 |
-
"logps/chosen": -35.
|
441 |
-
"logps/rejected": -31.
|
442 |
-
"loss": 0.
|
443 |
-
"rewards/accuracies": 0.
|
444 |
-
"rewards/chosen": 0.
|
445 |
-
"rewards/margins": 0.
|
446 |
-
"rewards/rejected": -0.
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.75,
|
451 |
"learning_rate": 8.737922755071453e-08,
|
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-08,
|
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":
|
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": 0.295,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.81,
|
495 |
"learning_rate": 5.576113578589034e-08,
|
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":
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.83,
|
509 |
"learning_rate": 4.229036944380912e-08,
|
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-08,
|
524 |
-
"logits/chosen": -2.
|
525 |
-
"logits/rejected": -2.
|
526 |
-
"logps/chosen": -33.
|
527 |
-
"logps/rejected": -32.
|
528 |
-
"loss": 0.
|
529 |
"rewards/accuracies": 0.512499988079071,
|
530 |
-
"rewards/chosen": 0.
|
531 |
-
"rewards/margins": 0.
|
532 |
-
"rewards/rejected":
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.88,
|
537 |
"learning_rate": 2.05793773749158e-08,
|
538 |
-
"logits/chosen": -2.
|
539 |
-
"logits/rejected": -2.
|
540 |
-
"logps/chosen": -34.
|
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": 1.251801807404168e-08,
|
552 |
-
"logits/chosen": -1.
|
553 |
-
"logits/rejected": -1.
|
554 |
-
"logps/chosen": -33.
|
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-09,
|
566 |
-
"logits/chosen": -1.
|
567 |
-
"logits/rejected": -1.
|
568 |
-
"logps/chosen": -32.
|
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": 2.3150941078050324e-09,
|
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-10,
|
594 |
-
"logits/chosen": -1.
|
595 |
-
"logits/rejected": -1.
|
596 |
-
"logps/chosen": -34.
|
597 |
-
"logps/rejected": -30.
|
598 |
-
"loss": 0.
|
599 |
-
"rewards/accuracies": 0.
|
600 |
-
"rewards/chosen":
|
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": 0.945,
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|
|
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
"learning_rate": 1.2820512820512818e-07,
|
28 |
+
"logits/chosen": -1.866014003753662,
|
29 |
+
"logits/rejected": -1.8703253269195557,
|
30 |
+
"logps/chosen": -36.98957061767578,
|
31 |
+
"logps/rejected": -33.655086517333984,
|
32 |
+
"loss": 0.6802,
|
33 |
+
"rewards/accuracies": 0.5555555820465088,
|
34 |
+
"rewards/chosen": 0.01192101463675499,
|
35 |
+
"rewards/margins": 0.029430679976940155,
|
36 |
+
"rewards/rejected": -0.017509667202830315,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05,
|
41 |
"learning_rate": 2.5641025641025636e-07,
|
42 |
+
"logits/chosen": -1.9975181818008423,
|
43 |
+
"logits/rejected": -2.000157356262207,
|
44 |
+
"logps/chosen": -29.643035888671875,
|
45 |
+
"logps/rejected": -29.068897247314453,
|
46 |
+
"loss": 0.6931,
|
47 |
+
"rewards/accuracies": 0.4625000059604645,
|
48 |
+
"rewards/chosen": -0.0005901128170080483,
|
49 |
+
"rewards/margins": 0.003226220142096281,
|
50 |
+
"rewards/rejected": -0.003816334530711174,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
"learning_rate": 3.8461538461538463e-07,
|
56 |
+
"logits/chosen": -1.919750452041626,
|
57 |
+
"logits/rejected": -1.9170730113983154,
|
58 |
+
"logps/chosen": -31.426767349243164,
|
59 |
+
"logps/rejected": -33.24191665649414,
|
60 |
+
"loss": 0.6908,
|
61 |
+
"rewards/accuracies": 0.5874999761581421,
|
62 |
+
"rewards/chosen": -0.00747058168053627,
|
63 |
+
"rewards/margins": 0.008947307243943214,
|
64 |
+
"rewards/rejected": -0.016417888924479485,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.1,
|
69 |
"learning_rate": 4.999896948438433e-07,
|
70 |
+
"logits/chosen": -2.0170185565948486,
|
71 |
+
"logits/rejected": -2.008249282836914,
|
72 |
+
"logps/chosen": -32.58369827270508,
|
73 |
+
"logps/rejected": -32.508426666259766,
|
74 |
+
"loss": 0.6989,
|
75 |
+
"rewards/accuracies": 0.48750001192092896,
|
76 |
+
"rewards/chosen": -0.004824736155569553,
|
77 |
+
"rewards/margins": -0.007793365977704525,
|
78 |
+
"rewards/rejected": 0.0029686305206269026,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.13,
|
83 |
"learning_rate": 4.987541037542186e-07,
|
84 |
+
"logits/chosen": -1.864098310470581,
|
85 |
+
"logits/rejected": -1.8533239364624023,
|
86 |
+
"logps/chosen": -33.5538444519043,
|
87 |
+
"logps/rejected": -35.4467658996582,
|
88 |
+
"loss": 0.6956,
|
89 |
"rewards/accuracies": 0.4625000059604645,
|
90 |
+
"rewards/chosen": 0.002545009134337306,
|
91 |
+
"rewards/margins": -0.0013612977927550673,
|
92 |
+
"rewards/rejected": 0.003906308673322201,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.16,
|
97 |
"learning_rate": 4.954691471941118e-07,
|
98 |
+
"logits/chosen": -1.9450995922088623,
|
99 |
+
"logits/rejected": -1.9470382928848267,
|
100 |
+
"logps/chosen": -32.56639862060547,
|
101 |
+
"logps/rejected": -33.19929122924805,
|
102 |
+
"loss": 0.6743,
|
103 |
+
"rewards/accuracies": 0.550000011920929,
|
104 |
+
"rewards/chosen": 0.02365189418196678,
|
105 |
+
"rewards/margins": 0.043189071118831635,
|
106 |
+
"rewards/rejected": -0.019537178799510002,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.18,
|
111 |
"learning_rate": 4.901618883413548e-07,
|
112 |
+
"logits/chosen": -2.0796637535095215,
|
113 |
+
"logits/rejected": -2.084643602371216,
|
114 |
+
"logps/chosen": -33.98316955566406,
|
115 |
+
"logps/rejected": -36.59341049194336,
|
116 |
+
"loss": 0.686,
|
117 |
+
"rewards/accuracies": 0.5375000238418579,
|
118 |
+
"rewards/chosen": 0.00371909374371171,
|
119 |
+
"rewards/margins": 0.020896537229418755,
|
120 |
+
"rewards/rejected": -0.01717744767665863,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.21,
|
125 |
"learning_rate": 4.828760511501322e-07,
|
126 |
+
"logits/chosen": -1.9420992136001587,
|
127 |
+
"logits/rejected": -1.9452590942382812,
|
128 |
+
"logps/chosen": -34.40605545043945,
|
129 |
+
"logps/rejected": -34.58306884765625,
|
130 |
+
"loss": 0.6914,
|
131 |
+
"rewards/accuracies": 0.512499988079071,
|
132 |
+
"rewards/chosen": 0.015227687545120716,
|
133 |
+
"rewards/margins": 0.008690384216606617,
|
134 |
+
"rewards/rejected": 0.006537304259836674,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.23,
|
139 |
"learning_rate": 4.736716601303429e-07,
|
140 |
+
"logits/chosen": -1.950547456741333,
|
141 |
+
"logits/rejected": -1.9550635814666748,
|
142 |
+
"logps/chosen": -32.4520378112793,
|
143 |
+
"logps/rejected": -32.369686126708984,
|
144 |
+
"loss": 0.6861,
|
145 |
+
"rewards/accuracies": 0.5625,
|
146 |
+
"rewards/chosen": 0.010769412852823734,
|
147 |
+
"rewards/margins": 0.018315035849809647,
|
148 |
+
"rewards/rejected": -0.007545621134340763,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.26,
|
153 |
"learning_rate": 4.62624545834521e-07,
|
154 |
+
"logits/chosen": -2.0487563610076904,
|
155 |
+
"logits/rejected": -2.046765089035034,
|
156 |
+
"logps/chosen": -32.21302032470703,
|
157 |
+
"logps/rejected": -31.275714874267578,
|
158 |
+
"loss": 0.6821,
|
159 |
+
"rewards/accuracies": 0.574999988079071,
|
160 |
+
"rewards/chosen": 0.019469190388917923,
|
161 |
+
"rewards/margins": 0.02612192928791046,
|
162 |
+
"rewards/rejected": -0.006652742624282837,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.26,
|
167 |
+
"eval_logits/chosen": -2.244154930114746,
|
168 |
+
"eval_logits/rejected": -2.2392725944519043,
|
169 |
+
"eval_logps/chosen": -34.02579116821289,
|
170 |
+
"eval_logps/rejected": -37.495243072509766,
|
171 |
+
"eval_loss": 0.6996207237243652,
|
172 |
+
"eval_rewards/accuracies": 0.48048171401023865,
|
173 |
+
"eval_rewards/chosen": 0.006134189199656248,
|
174 |
+
"eval_rewards/margins": -0.008827367797493935,
|
175 |
+
"eval_rewards/rejected": 0.014961558394134045,
|
176 |
+
"eval_runtime": 146.1618,
|
177 |
+
"eval_samples_per_second": 2.347,
|
178 |
"eval_steps_per_second": 0.294,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.29,
|
183 |
"learning_rate": 4.4982572012636904e-07,
|
184 |
+
"logits/chosen": -2.005396604537964,
|
185 |
+
"logits/rejected": -2.00298810005188,
|
186 |
+
"logps/chosen": -33.235660552978516,
|
187 |
+
"logps/rejected": -34.023067474365234,
|
188 |
+
"loss": 0.6946,
|
189 |
+
"rewards/accuracies": 0.4749999940395355,
|
190 |
+
"rewards/chosen": 0.0057089305482804775,
|
191 |
+
"rewards/margins": 0.001296796603128314,
|
192 |
+
"rewards/rejected": 0.0044121332466602325,
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.31,
|
197 |
"learning_rate": 4.353806263777677e-07,
|
198 |
+
"logits/chosen": -2.0165247917175293,
|
199 |
+
"logits/rejected": -2.0081515312194824,
|
200 |
+
"logps/chosen": -32.45998764038086,
|
201 |
+
"logps/rejected": -32.18000793457031,
|
202 |
+
"loss": 0.6936,
|
203 |
+
"rewards/accuracies": 0.550000011920929,
|
204 |
+
"rewards/chosen": -0.010559305548667908,
|
205 |
+
"rewards/margins": 0.0023918983060866594,
|
206 |
+
"rewards/rejected": -0.012951202690601349,
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.34,
|
211 |
"learning_rate": 4.194082707715275e-07,
|
212 |
+
"logits/chosen": -2.0464999675750732,
|
213 |
+
"logits/rejected": -2.0384459495544434,
|
214 |
+
"logps/chosen": -30.482324600219727,
|
215 |
+
"logps/rejected": -32.024261474609375,
|
216 |
+
"loss": 0.7073,
|
217 |
+
"rewards/accuracies": 0.36250001192092896,
|
218 |
+
"rewards/chosen": -0.004625456873327494,
|
219 |
+
"rewards/margins": -0.02474728412926197,
|
220 |
+
"rewards/rejected": 0.020121825858950615,
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.36,
|
225 |
"learning_rate": 4.020402418666621e-07,
|
226 |
+
"logits/chosen": -1.976978063583374,
|
227 |
+
"logits/rejected": -1.9872522354125977,
|
228 |
+
"logps/chosen": -31.402069091796875,
|
229 |
+
"logps/rejected": -32.54044723510742,
|
230 |
+
"loss": 0.6869,
|
231 |
"rewards/accuracies": 0.550000011920929,
|
232 |
+
"rewards/chosen": 0.012314395979046822,
|
233 |
+
"rewards/margins": 0.01621088758111,
|
234 |
+
"rewards/rejected": -0.0038964927662163973,
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.39,
|
239 |
"learning_rate": 3.8341962650351185e-07,
|
240 |
+
"logits/chosen": -1.8904860019683838,
|
241 |
+
"logits/rejected": -1.8915693759918213,
|
242 |
+
"logps/chosen": -34.20112609863281,
|
243 |
+
"logps/rejected": -34.765201568603516,
|
244 |
+
"loss": 0.6961,
|
245 |
+
"rewards/accuracies": 0.44999998807907104,
|
246 |
+
"rewards/chosen": -0.005904030986130238,
|
247 |
+
"rewards/margins": -0.0003432026132941246,
|
248 |
+
"rewards/rejected": -0.005560829304158688,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.42,
|
253 |
"learning_rate": 3.636998309800572e-07,
|
254 |
+
"logits/chosen": -1.9423534870147705,
|
255 |
+
"logits/rejected": -1.938856840133667,
|
256 |
+
"logps/chosen": -36.14204025268555,
|
257 |
+
"logps/rejected": -32.7347412109375,
|
258 |
+
"loss": 0.6817,
|
259 |
+
"rewards/accuracies": 0.5625,
|
260 |
+
"rewards/chosen": 0.020746376365423203,
|
261 |
+
"rewards/margins": 0.029139723628759384,
|
262 |
+
"rewards/rejected": -0.008393346332013607,
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.44,
|
267 |
"learning_rate": 3.430433172111807e-07,
|
268 |
+
"logits/chosen": -2.0420148372650146,
|
269 |
+
"logits/rejected": -2.034619092941284,
|
270 |
+
"logps/chosen": -33.79521942138672,
|
271 |
+
"logps/rejected": -31.3667049407959,
|
272 |
+
"loss": 0.6897,
|
273 |
+
"rewards/accuracies": 0.5625,
|
274 |
+
"rewards/chosen": 0.0018501380691304803,
|
275 |
+
"rewards/margins": 0.012249214574694633,
|
276 |
+
"rewards/rejected": -0.010399078950285912,
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.47,
|
281 |
"learning_rate": 3.216202642830543e-07,
|
282 |
+
"logits/chosen": -2.0474741458892822,
|
283 |
+
"logits/rejected": -2.052746295928955,
|
284 |
+
"logps/chosen": -32.533199310302734,
|
285 |
+
"logps/rejected": -32.49622344970703,
|
286 |
+
"loss": 0.6872,
|
287 |
+
"rewards/accuracies": 0.48750001192092896,
|
288 |
+
"rewards/chosen": 0.008109848015010357,
|
289 |
+
"rewards/margins": 0.015868691727519035,
|
290 |
+
"rewards/rejected": -0.007758840918540955,
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.49,
|
295 |
"learning_rate": 2.9960716642946403e-07,
|
296 |
+
"logits/chosen": -2.048755407333374,
|
297 |
+
"logits/rejected": -2.045989513397217,
|
298 |
+
"logps/chosen": -31.495113372802734,
|
299 |
+
"logps/rejected": -31.329687118530273,
|
300 |
+
"loss": 0.6936,
|
301 |
"rewards/accuracies": 0.550000011920929,
|
302 |
+
"rewards/chosen": -0.004311963450163603,
|
303 |
+
"rewards/margins": 0.003718080697581172,
|
304 |
+
"rewards/rejected": -0.008030043914914131,
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.52,
|
309 |
"learning_rate": 2.771853789806683e-07,
|
310 |
+
"logits/chosen": -1.9183790683746338,
|
311 |
+
"logits/rejected": -1.9230560064315796,
|
312 |
+
"logps/chosen": -31.61056137084961,
|
313 |
+
"logps/rejected": -32.79776382446289,
|
314 |
+
"loss": 0.6938,
|
315 |
+
"rewards/accuracies": 0.48750001192092896,
|
316 |
+
"rewards/chosen": -0.002994548762217164,
|
317 |
+
"rewards/margins": 0.001788289868272841,
|
318 |
+
"rewards/rejected": -0.004782836884260178,
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.52,
|
323 |
+
"eval_logits/chosen": -2.2438013553619385,
|
324 |
+
"eval_logits/rejected": -2.2389278411865234,
|
325 |
+
"eval_logps/chosen": -34.02748107910156,
|
326 |
+
"eval_logps/rejected": -37.502662658691406,
|
327 |
+
"eval_loss": 0.6977797150611877,
|
328 |
+
"eval_rewards/accuracies": 0.48172760009765625,
|
329 |
+
"eval_rewards/chosen": 0.004952840972691774,
|
330 |
+
"eval_rewards/margins": -0.004817771725356579,
|
331 |
+
"eval_rewards/rejected": 0.009770614095032215,
|
332 |
+
"eval_runtime": 146.0018,
|
333 |
+
"eval_samples_per_second": 2.349,
|
334 |
"eval_steps_per_second": 0.295,
|
335 |
"step": 200
|
336 |
},
|
337 |
{
|
338 |
"epoch": 0.55,
|
339 |
"learning_rate": 2.5453962426402e-07,
|
340 |
+
"logits/chosen": -2.0318925380706787,
|
341 |
+
"logits/rejected": -2.0425820350646973,
|
342 |
+
"logps/chosen": -31.96123695373535,
|
343 |
+
"logps/rejected": -33.87626647949219,
|
344 |
+
"loss": 0.6874,
|
345 |
"rewards/accuracies": 0.5249999761581421,
|
346 |
+
"rewards/chosen": 0.007046692073345184,
|
347 |
+
"rewards/margins": 0.01654236949980259,
|
348 |
+
"rewards/rejected": -0.009495675563812256,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.57,
|
353 |
"learning_rate": 2.318564697655179e-07,
|
354 |
+
"logits/chosen": -1.9252264499664307,
|
355 |
+
"logits/rejected": -1.940086007118225,
|
356 |
+
"logps/chosen": -30.087350845336914,
|
357 |
+
"logps/rejected": -31.552490234375,
|
358 |
+
"loss": 0.6894,
|
359 |
+
"rewards/accuracies": 0.4749999940395355,
|
360 |
+
"rewards/chosen": 0.01693141832947731,
|
361 |
+
"rewards/margins": 0.012951460666954517,
|
362 |
+
"rewards/rejected": 0.003979954868555069,
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.6,
|
367 |
"learning_rate": 2.093227910899832e-07,
|
368 |
+
"logits/chosen": -1.9830553531646729,
|
369 |
+
"logits/rejected": -1.9870340824127197,
|
370 |
+
"logps/chosen": -33.37425231933594,
|
371 |
+
"logps/rejected": -31.55866050720215,
|
372 |
+
"loss": 0.6771,
|
373 |
+
"rewards/accuracies": 0.5375000238418579,
|
374 |
+
"rewards/chosen": 0.030249694362282753,
|
375 |
+
"rewards/margins": 0.036800943315029144,
|
376 |
+
"rewards/rejected": -0.006551248021423817,
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.62,
|
381 |
"learning_rate": 1.8712423238279356e-07,
|
382 |
+
"logits/chosen": -1.9825870990753174,
|
383 |
+
"logits/rejected": -1.9606201648712158,
|
384 |
+
"logps/chosen": -34.172298431396484,
|
385 |
+
"logps/rejected": -34.95369338989258,
|
386 |
+
"loss": 0.7012,
|
387 |
+
"rewards/accuracies": 0.4000000059604645,
|
388 |
+
"rewards/chosen": -0.012983955442905426,
|
389 |
+
"rewards/margins": -0.010954022407531738,
|
390 |
+
"rewards/rejected": -0.002029931638389826,
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.65,
|
395 |
"learning_rate": 1.654436768970182e-07,
|
396 |
+
"logits/chosen": -2.0240674018859863,
|
397 |
+
"logits/rejected": -2.020759105682373,
|
398 |
+
"logps/chosen": -32.91376495361328,
|
399 |
+
"logps/rejected": -36.22763442993164,
|
400 |
+
"loss": 0.6907,
|
401 |
+
"rewards/accuracies": 0.512499988079071,
|
402 |
+
"rewards/chosen": 0.007910441607236862,
|
403 |
+
"rewards/margins": 0.009807790629565716,
|
404 |
+
"rewards/rejected": -0.0018973512342199683,
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.68,
|
409 |
"learning_rate": 1.444597403062196e-07,
|
410 |
+
"logits/chosen": -1.891227126121521,
|
411 |
+
"logits/rejected": -1.8887770175933838,
|
412 |
+
"logps/chosen": -34.196754455566406,
|
413 |
+
"logps/rejected": -35.51189422607422,
|
414 |
+
"loss": 0.6959,
|
415 |
+
"rewards/accuracies": 0.5625,
|
416 |
+
"rewards/chosen": -0.005844797007739544,
|
417 |
+
"rewards/margins": -0.0007547728600911796,
|
418 |
+
"rewards/rejected": -0.005090024787932634,
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7,
|
423 |
"learning_rate": 1.2434529917578887e-07,
|
424 |
+
"logits/chosen": -1.875758409500122,
|
425 |
+
"logits/rejected": -1.8732105493545532,
|
426 |
+
"logps/chosen": -34.38095474243164,
|
427 |
+
"logps/rejected": -31.74618148803711,
|
428 |
+
"loss": 0.6979,
|
429 |
+
"rewards/accuracies": 0.44999998807907104,
|
430 |
+
"rewards/chosen": 0.011651447974145412,
|
431 |
+
"rewards/margins": -0.005950801074504852,
|
432 |
+
"rewards/rejected": 0.01760224997997284,
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.73,
|
437 |
"learning_rate": 1.0526606671603521e-07,
|
438 |
+
"logits/chosen": -1.9794175624847412,
|
439 |
+
"logits/rejected": -1.968788504600525,
|
440 |
+
"logps/chosen": -35.32674026489258,
|
441 |
+
"logps/rejected": -31.84674072265625,
|
442 |
+
"loss": 0.6832,
|
443 |
+
"rewards/accuracies": 0.512499988079071,
|
444 |
+
"rewards/chosen": 0.020933207124471664,
|
445 |
+
"rewards/margins": 0.024957498535513878,
|
446 |
+
"rewards/rejected": -0.004024294205009937,
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.75,
|
451 |
"learning_rate": 8.737922755071453e-08,
|
452 |
+
"logits/chosen": -2.075899600982666,
|
453 |
+
"logits/rejected": -2.0608580112457275,
|
454 |
+
"logps/chosen": -30.886249542236328,
|
455 |
+
"logps/rejected": -32.66474533081055,
|
456 |
+
"loss": 0.6773,
|
457 |
+
"rewards/accuracies": 0.5625,
|
458 |
+
"rewards/chosen": 0.026513904333114624,
|
459 |
+
"rewards/margins": 0.03555149585008621,
|
460 |
+
"rewards/rejected": -0.009037593379616737,
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.78,
|
465 |
"learning_rate": 7.08321427484816e-08,
|
466 |
+
"logits/chosen": -1.9468847513198853,
|
467 |
+
"logits/rejected": -1.9443557262420654,
|
468 |
+
"logps/chosen": -32.885986328125,
|
469 |
+
"logps/rejected": -30.816707611083984,
|
470 |
+
"loss": 0.681,
|
471 |
+
"rewards/accuracies": 0.5,
|
472 |
+
"rewards/chosen": 0.02878658100962639,
|
473 |
+
"rewards/margins": 0.028715472668409348,
|
474 |
+
"rewards/rejected": 7.110489241313189e-05,
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.78,
|
479 |
+
"eval_logits/chosen": -2.244056224822998,
|
480 |
+
"eval_logits/rejected": -2.2391812801361084,
|
481 |
+
"eval_logps/chosen": -34.01231384277344,
|
482 |
+
"eval_logps/rejected": -37.509132385253906,
|
483 |
+
"eval_loss": 0.6901772618293762,
|
484 |
+
"eval_rewards/accuracies": 0.5132890343666077,
|
485 |
+
"eval_rewards/chosen": 0.015566298738121986,
|
486 |
+
"eval_rewards/margins": 0.01032568421214819,
|
487 |
+
"eval_rewards/rejected": 0.005240614525973797,
|
488 |
+
"eval_runtime": 145.9901,
|
489 |
+
"eval_samples_per_second": 2.349,
|
490 |
"eval_steps_per_second": 0.295,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.81,
|
495 |
"learning_rate": 5.576113578589034e-08,
|
496 |
+
"logits/chosen": -1.9292223453521729,
|
497 |
+
"logits/rejected": -1.9259742498397827,
|
498 |
+
"logps/chosen": -31.571924209594727,
|
499 |
+
"logps/rejected": -33.74208450317383,
|
500 |
+
"loss": 0.6842,
|
501 |
+
"rewards/accuracies": 0.5625,
|
502 |
+
"rewards/chosen": 0.021998558193445206,
|
503 |
+
"rewards/margins": 0.02195030450820923,
|
504 |
+
"rewards/rejected": 4.825703945243731e-05,
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.83,
|
509 |
"learning_rate": 4.229036944380912e-08,
|
510 |
+
"logits/chosen": -1.980800986289978,
|
511 |
+
"logits/rejected": -1.9684827327728271,
|
512 |
+
"logps/chosen": -34.57365417480469,
|
513 |
+
"logps/rejected": -33.5623779296875,
|
514 |
+
"loss": 0.6796,
|
515 |
+
"rewards/accuracies": 0.5874999761581421,
|
516 |
+
"rewards/chosen": 0.015695111826062202,
|
517 |
+
"rewards/margins": 0.032171379774808884,
|
518 |
+
"rewards/rejected": -0.01647626794874668,
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.86,
|
523 |
"learning_rate": 3.053082288996112e-08,
|
524 |
+
"logits/chosen": -2.016021490097046,
|
525 |
+
"logits/rejected": -2.0145699977874756,
|
526 |
+
"logps/chosen": -33.47764205932617,
|
527 |
+
"logps/rejected": -32.47804260253906,
|
528 |
+
"loss": 0.6932,
|
529 |
"rewards/accuracies": 0.512499988079071,
|
530 |
+
"rewards/chosen": 0.005706763360649347,
|
531 |
+
"rewards/margins": 0.00462835980579257,
|
532 |
+
"rewards/rejected": 0.0010784054175019264,
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.88,
|
537 |
"learning_rate": 2.05793773749158e-08,
|
538 |
+
"logits/chosen": -2.1033365726470947,
|
539 |
+
"logits/rejected": -2.087541103363037,
|
540 |
+
"logps/chosen": -34.160888671875,
|
541 |
+
"logps/rejected": -33.08522415161133,
|
542 |
+
"loss": 0.7012,
|
543 |
+
"rewards/accuracies": 0.48750001192092896,
|
544 |
+
"rewards/chosen": 0.012950187548995018,
|
545 |
+
"rewards/margins": -0.010019468143582344,
|
546 |
+
"rewards/rejected": 0.022969653829932213,
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.91,
|
551 |
"learning_rate": 1.251801807404168e-08,
|
552 |
+
"logits/chosen": -1.974867582321167,
|
553 |
+
"logits/rejected": -1.9739230871200562,
|
554 |
+
"logps/chosen": -33.23981857299805,
|
555 |
+
"logps/rejected": -32.456180572509766,
|
556 |
+
"loss": 0.6846,
|
557 |
+
"rewards/accuracies": 0.5249999761581421,
|
558 |
+
"rewards/chosen": 0.029593482613563538,
|
559 |
+
"rewards/margins": 0.023315051570534706,
|
560 |
+
"rewards/rejected": 0.006278430111706257,
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.94,
|
565 |
"learning_rate": 6.41315865106129e-09,
|
566 |
+
"logits/chosen": -1.9302256107330322,
|
567 |
+
"logits/rejected": -1.940580129623413,
|
568 |
+
"logps/chosen": -32.2147102355957,
|
569 |
+
"logps/rejected": -35.29616165161133,
|
570 |
+
"loss": 0.6963,
|
571 |
+
"rewards/accuracies": 0.5375000238418579,
|
572 |
+
"rewards/chosen": -0.007009805645793676,
|
573 |
+
"rewards/margins": -0.0018279661890119314,
|
574 |
+
"rewards/rejected": -0.005181840155273676,
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.96,
|
579 |
"learning_rate": 2.3150941078050324e-09,
|
580 |
+
"logits/chosen": -2.069504737854004,
|
581 |
+
"logits/rejected": -2.062945604324341,
|
582 |
+
"logps/chosen": -33.646629333496094,
|
583 |
+
"logps/rejected": -29.217721939086914,
|
584 |
+
"loss": 0.6968,
|
585 |
+
"rewards/accuracies": 0.4749999940395355,
|
586 |
+
"rewards/chosen": 0.003734806552529335,
|
587 |
+
"rewards/margins": -0.0023581120185554028,
|
588 |
+
"rewards/rejected": 0.0060929167084395885,
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.99,
|
593 |
"learning_rate": 2.575864278703266e-10,
|
594 |
+
"logits/chosen": -1.9288103580474854,
|
595 |
+
"logits/rejected": -1.9309613704681396,
|
596 |
+
"logps/chosen": -34.23542022705078,
|
597 |
+
"logps/rejected": -30.89495277404785,
|
598 |
+
"loss": 0.6866,
|
599 |
+
"rewards/accuracies": 0.5625,
|
600 |
+
"rewards/chosen": 0.0025402153842151165,
|
601 |
+
"rewards/margins": 0.018168382346630096,
|
602 |
+
"rewards/rejected": -0.015628164634108543,
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 1.0,
|
607 |
"step": 385,
|
608 |
"total_flos": 0.0,
|
609 |
+
"train_loss": 0.6898305428492558,
|
610 |
+
"train_runtime": 3256.6227,
|
611 |
"train_samples_per_second": 0.945,
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|