hugodk-sch
commited on
Commit
•
afc2ba1
1
Parent(s):
9c0b014
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 +377 -377
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: 0.6920
|
21 |
+
- Rewards/chosen: -0.0273
|
22 |
+
- Rewards/rejected: -0.0406
|
23 |
+
- Rewards/accuracies: 0.5278
|
24 |
+
- Rewards/margins: 0.0133
|
25 |
+
- Logps/rejected: -37.5978
|
26 |
+
- Logps/chosen: -34.0891
|
27 |
+
- Logits/rejected: -2.2231
|
28 |
+
- Logits/chosen: -2.2279
|
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 |
+
| 0.6634 | 0.26 | 100 | 0.6931 | 0.0028 | -0.0041 | 0.5216 | 0.0069 | -37.5249 | -34.0290 | -2.2276 | -2.2324 |
|
64 |
+
| 0.6329 | 0.52 | 200 | 0.6905 | -0.0127 | -0.0275 | 0.5274 | 0.0148 | -37.5716 | -34.0600 | -2.2255 | -2.2304 |
|
65 |
+
| 0.5742 | 0.78 | 300 | 0.6920 | -0.0273 | -0.0406 | 0.5278 | 0.0133 | -37.5978 | -34.0891 | -2.2231 | -2.2279 |
|
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 sha256:0aa405f5b86503e02e2b370eae5754be314df4fd8079a6033e67d561adc170c8
|
3 |
size 176183216
|
all_results.json
CHANGED
@@ -1,20 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"eval_logps/chosen": -34.1085205078125,
|
6 |
-
"eval_logps/rejected": -37.61680603027344,
|
7 |
-
"eval_loss": 0.9893841743469238,
|
8 |
-
"eval_rewards/accuracies": 0.5124584436416626,
|
9 |
-
"eval_rewards/chosen": -0.02958693355321884,
|
10 |
-
"eval_rewards/margins": 0.010487398132681847,
|
11 |
-
"eval_rewards/rejected": -0.04007433354854584,
|
12 |
-
"eval_runtime": 145.4187,
|
13 |
-
"eval_samples": 343,
|
14 |
-
"eval_samples_per_second": 2.359,
|
15 |
-
"eval_steps_per_second": 0.296,
|
16 |
-
"train_loss": 0.8990784768934373,
|
17 |
-
"train_runtime": 3250.3805,
|
18 |
"train_samples": 3079,
|
19 |
"train_samples_per_second": 0.947,
|
20 |
"train_steps_per_second": 0.118
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.64145151051608,
|
4 |
+
"train_runtime": 3249.8987,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"train_samples": 3079,
|
6 |
"train_samples_per_second": 0.947,
|
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": 0.947,
|
7 |
"train_steps_per_second": 0.118
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.64145151051608,
|
4 |
+
"train_runtime": 3249.8987,
|
5 |
"train_samples": 3079,
|
6 |
"train_samples_per_second": 0.947,
|
7 |
"train_steps_per_second": 0.118
|
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,
|
@@ -25,589 +25,589 @@
|
|
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": -0.
|
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.
|
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": -
|
115 |
-
"logps/rejected": -36.
|
116 |
-
"loss": 0.
|
117 |
-
"rewards/accuracies": 0.
|
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.
|
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":
|
174 |
-
"eval_rewards/margins": 0.
|
175 |
-
"eval_rewards/rejected": -0.
|
176 |
-
"eval_runtime":
|
177 |
-
"eval_samples_per_second": 2.
|
178 |
-
"eval_steps_per_second": 0.
|
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": -34.
|
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": 0.574999988079071,
|
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":
|
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.
|
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": 0.6625000238418579,
|
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": -0.
|
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": -
|
441 |
-
"logps/rejected": -31.
|
442 |
-
"loss": 0.
|
443 |
"rewards/accuracies": 0.737500011920929,
|
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":
|
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": 0.295,
|
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": -
|
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": 0.947,
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|
|
|
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": -1.8664319515228271,
|
29 |
+
"logits/rejected": -1.8707623481750488,
|
30 |
+
"logps/chosen": -36.98527526855469,
|
31 |
+
"logps/rejected": -33.654090881347656,
|
32 |
+
"loss": 0.6829,
|
33 |
+
"rewards/accuracies": 0.5416666865348816,
|
34 |
+
"rewards/chosen": 0.010662304237484932,
|
35 |
+
"rewards/margins": 0.02267039567232132,
|
36 |
+
"rewards/rejected": -0.012008090503513813,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05,
|
41 |
"learning_rate": 2.564102564102564e-06,
|
42 |
+
"logits/chosen": -1.9980642795562744,
|
43 |
+
"logits/rejected": -2.0007288455963135,
|
44 |
+
"logps/chosen": -29.634414672851562,
|
45 |
+
"logps/rejected": -29.0543270111084,
|
46 |
+
"loss": 0.6943,
|
47 |
+
"rewards/accuracies": 0.5874999761581421,
|
48 |
+
"rewards/chosen": 0.0038894296158105135,
|
49 |
+
"rewards/margins": -0.000667938613332808,
|
50 |
+
"rewards/rejected": 0.004557368345558643,
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.08,
|
55 |
"learning_rate": 3.846153846153847e-06,
|
56 |
+
"logits/chosen": -1.9210376739501953,
|
57 |
+
"logits/rejected": -1.9183601140975952,
|
58 |
+
"logps/chosen": -31.391239166259766,
|
59 |
+
"logps/rejected": -33.24319076538086,
|
60 |
+
"loss": 0.6828,
|
61 |
+
"rewards/accuracies": 0.6000000238418579,
|
62 |
+
"rewards/chosen": 0.012426799163222313,
|
63 |
+
"rewards/margins": 0.024792592972517014,
|
64 |
+
"rewards/rejected": -0.0123657938092947,
|
65 |
"step": 30
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.1,
|
69 |
"learning_rate": 4.999896948438434e-06,
|
70 |
+
"logits/chosen": -2.017646312713623,
|
71 |
+
"logits/rejected": -2.0089142322540283,
|
72 |
+
"logps/chosen": -32.557518005371094,
|
73 |
+
"logps/rejected": -32.51502227783203,
|
74 |
+
"loss": 0.6894,
|
75 |
+
"rewards/accuracies": 0.4749999940395355,
|
76 |
+
"rewards/chosen": 0.009644975885748863,
|
77 |
+
"rewards/margins": 0.010818523354828358,
|
78 |
+
"rewards/rejected": -0.0011735468870028853,
|
79 |
"step": 40
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.13,
|
83 |
"learning_rate": 4.987541037542187e-06,
|
84 |
+
"logits/chosen": -1.8620023727416992,
|
85 |
+
"logits/rejected": -1.8512481451034546,
|
86 |
+
"logps/chosen": -33.577735900878906,
|
87 |
+
"logps/rejected": -35.46040344238281,
|
88 |
+
"loss": 0.6982,
|
89 |
+
"rewards/accuracies": 0.5,
|
90 |
+
"rewards/chosen": -0.010127579793334007,
|
91 |
+
"rewards/margins": -0.0060965316370129585,
|
92 |
+
"rewards/rejected": -0.004031048621982336,
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.16,
|
97 |
"learning_rate": 4.954691471941119e-06,
|
98 |
+
"logits/chosen": -1.9402154684066772,
|
99 |
+
"logits/rejected": -1.9421701431274414,
|
100 |
+
"logps/chosen": -32.552555084228516,
|
101 |
+
"logps/rejected": -33.22978973388672,
|
102 |
+
"loss": 0.6723,
|
103 |
+
"rewards/accuracies": 0.6000000238418579,
|
104 |
+
"rewards/chosen": 0.023814614862203598,
|
105 |
+
"rewards/margins": 0.053018856793642044,
|
106 |
+
"rewards/rejected": -0.029204240068793297,
|
107 |
"step": 60
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.18,
|
111 |
"learning_rate": 4.901618883413549e-06,
|
112 |
+
"logits/chosen": -2.071889877319336,
|
113 |
+
"logits/rejected": -2.0768685340881348,
|
114 |
+
"logps/chosen": -33.997718811035156,
|
115 |
+
"logps/rejected": -36.63623809814453,
|
116 |
+
"loss": 0.6836,
|
117 |
+
"rewards/accuracies": 0.5375000238418579,
|
118 |
+
"rewards/chosen": -0.004616844467818737,
|
119 |
+
"rewards/margins": 0.02906452678143978,
|
120 |
+
"rewards/rejected": -0.033681370317935944,
|
121 |
"step": 70
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.21,
|
125 |
"learning_rate": 4.828760511501322e-06,
|
126 |
+
"logits/chosen": -1.9326432943344116,
|
127 |
+
"logits/rejected": -1.935786247253418,
|
128 |
+
"logps/chosen": -34.30440902709961,
|
129 |
+
"logps/rejected": -34.659637451171875,
|
130 |
+
"loss": 0.6521,
|
131 |
+
"rewards/accuracies": 0.625,
|
132 |
+
"rewards/chosen": 0.06169893592596054,
|
133 |
+
"rewards/margins": 0.09531383961439133,
|
134 |
+
"rewards/rejected": -0.03361489623785019,
|
135 |
"step": 80
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.23,
|
139 |
"learning_rate": 4.7367166013034295e-06,
|
140 |
+
"logits/chosen": -1.9409675598144531,
|
141 |
+
"logits/rejected": -1.9454774856567383,
|
142 |
+
"logps/chosen": -32.3830680847168,
|
143 |
+
"logps/rejected": -32.33238983154297,
|
144 |
+
"loss": 0.6838,
|
145 |
+
"rewards/accuracies": 0.5874999761581421,
|
146 |
+
"rewards/chosen": 0.042176127433776855,
|
147 |
+
"rewards/margins": 0.028917592018842697,
|
148 |
+
"rewards/rejected": 0.013258534483611584,
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.26,
|
153 |
"learning_rate": 4.626245458345211e-06,
|
154 |
+
"logits/chosen": -2.038121461868286,
|
155 |
+
"logits/rejected": -2.036132574081421,
|
156 |
+
"logps/chosen": -32.12568664550781,
|
157 |
+
"logps/rejected": -31.2890567779541,
|
158 |
+
"loss": 0.6634,
|
159 |
+
"rewards/accuracies": 0.5874999761581421,
|
160 |
+
"rewards/chosen": 0.05757413059473038,
|
161 |
+
"rewards/margins": 0.06899620592594147,
|
162 |
+
"rewards/rejected": -0.011422084644436836,
|
163 |
"step": 100
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.26,
|
167 |
+
"eval_logits/chosen": -2.232415199279785,
|
168 |
+
"eval_logits/rejected": -2.2275755405426025,
|
169 |
+
"eval_logps/chosen": -34.029048919677734,
|
170 |
+
"eval_logps/rejected": -37.52485275268555,
|
171 |
+
"eval_loss": 0.693107545375824,
|
172 |
+
"eval_rewards/accuracies": 0.5215947031974792,
|
173 |
+
"eval_rewards/chosen": 0.0027513643726706505,
|
174 |
+
"eval_rewards/margins": 0.006868092343211174,
|
175 |
+
"eval_rewards/rejected": -0.0041167279705405235,
|
176 |
+
"eval_runtime": 145.7484,
|
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": -1.9926633834838867,
|
185 |
+
"logits/rejected": -1.9902803897857666,
|
186 |
+
"logps/chosen": -33.11687088012695,
|
187 |
+
"logps/rejected": -34.01213836669922,
|
188 |
+
"loss": 0.6814,
|
189 |
+
"rewards/accuracies": 0.5874999761581421,
|
190 |
+
"rewards/chosen": 0.06347335875034332,
|
191 |
+
"rewards/margins": 0.054856397211551666,
|
192 |
+
"rewards/rejected": 0.008616959676146507,
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
"epoch": 0.31,
|
197 |
"learning_rate": 4.353806263777678e-06,
|
198 |
+
"logits/chosen": -2.0042788982391357,
|
199 |
+
"logits/rejected": -1.9959495067596436,
|
200 |
+
"logps/chosen": -32.306739807128906,
|
201 |
+
"logps/rejected": -32.13039779663086,
|
202 |
+
"loss": 0.6734,
|
203 |
"rewards/accuracies": 0.574999988079071,
|
204 |
+
"rewards/chosen": 0.06908417493104935,
|
205 |
+
"rewards/margins": 0.05353052541613579,
|
206 |
+
"rewards/rejected": 0.015553650446236134,
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.34,
|
211 |
"learning_rate": 4.1940827077152755e-06,
|
212 |
+
"logits/chosen": -2.0326714515686035,
|
213 |
+
"logits/rejected": -2.0247092247009277,
|
214 |
+
"logps/chosen": -30.308746337890625,
|
215 |
+
"logps/rejected": -32.05224609375,
|
216 |
+
"loss": 0.6637,
|
217 |
+
"rewards/accuracies": 0.5874999761581421,
|
218 |
+
"rewards/chosen": 0.08348459005355835,
|
219 |
+
"rewards/margins": 0.08310474455356598,
|
220 |
+
"rewards/rejected": 0.00037985146627761424,
|
221 |
"step": 130
|
222 |
},
|
223 |
{
|
224 |
"epoch": 0.36,
|
225 |
"learning_rate": 4.0204024186666215e-06,
|
226 |
+
"logits/chosen": -1.9627164602279663,
|
227 |
+
"logits/rejected": -1.9729163646697998,
|
228 |
+
"logps/chosen": -31.189788818359375,
|
229 |
+
"logps/rejected": -32.54594421386719,
|
230 |
+
"loss": 0.6424,
|
231 |
+
"rewards/accuracies": 0.612500011920929,
|
232 |
+
"rewards/chosen": 0.1149359717965126,
|
233 |
+
"rewards/margins": 0.12046756595373154,
|
234 |
+
"rewards/rejected": -0.005531603004783392,
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
"epoch": 0.39,
|
239 |
"learning_rate": 3.834196265035119e-06,
|
240 |
+
"logits/chosen": -1.8740726709365845,
|
241 |
+
"logits/rejected": -1.875239372253418,
|
242 |
+
"logps/chosen": -33.88011932373047,
|
243 |
+
"logps/rejected": -34.779319763183594,
|
244 |
+
"loss": 0.6271,
|
245 |
+
"rewards/accuracies": 0.6000000238418579,
|
246 |
+
"rewards/chosen": 0.15628577768802643,
|
247 |
+
"rewards/margins": 0.1673184335231781,
|
248 |
+
"rewards/rejected": -0.011032682843506336,
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.42,
|
253 |
"learning_rate": 3.636998309800573e-06,
|
254 |
+
"logits/chosen": -1.9257261753082275,
|
255 |
+
"logits/rejected": -1.922323226928711,
|
256 |
+
"logps/chosen": -35.9793586730957,
|
257 |
+
"logps/rejected": -32.714969635009766,
|
258 |
+
"loss": 0.6539,
|
259 |
+
"rewards/accuracies": 0.612500011920929,
|
260 |
+
"rewards/chosen": 0.09615939855575562,
|
261 |
+
"rewards/margins": 0.09226818382740021,
|
262 |
+
"rewards/rejected": 0.003891219152137637,
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.44,
|
267 |
"learning_rate": 3.4304331721118078e-06,
|
268 |
+
"logits/chosen": -2.027190923690796,
|
269 |
+
"logits/rejected": -2.019850254058838,
|
270 |
+
"logps/chosen": -33.4937629699707,
|
271 |
+
"logps/rejected": -31.404333114624023,
|
272 |
+
"loss": 0.6193,
|
273 |
+
"rewards/accuracies": 0.6875,
|
274 |
+
"rewards/chosen": 0.15204860270023346,
|
275 |
+
"rewards/margins": 0.17829009890556335,
|
276 |
+
"rewards/rejected": -0.026241496205329895,
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.47,
|
281 |
"learning_rate": 3.2162026428305436e-06,
|
282 |
+
"logits/chosen": -2.033841609954834,
|
283 |
+
"logits/rejected": -2.039079427719116,
|
284 |
+
"logps/chosen": -32.22673797607422,
|
285 |
+
"logps/rejected": -32.453857421875,
|
286 |
+
"loss": 0.632,
|
287 |
+
"rewards/accuracies": 0.75,
|
288 |
+
"rewards/chosen": 0.1590258777141571,
|
289 |
+
"rewards/margins": 0.1433834582567215,
|
290 |
+
"rewards/rejected": 0.015642408281564713,
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.49,
|
295 |
"learning_rate": 2.996071664294641e-06,
|
296 |
+
"logits/chosen": -2.03458833694458,
|
297 |
+
"logits/rejected": -2.031813144683838,
|
298 |
+
"logps/chosen": -31.249963760375977,
|
299 |
+
"logps/rejected": -31.329097747802734,
|
300 |
+
"loss": 0.6439,
|
301 |
+
"rewards/accuracies": 0.5874999761581421,
|
302 |
+
"rewards/chosen": 0.11949291080236435,
|
303 |
+
"rewards/margins": 0.12493407726287842,
|
304 |
+
"rewards/rejected": -0.005441152956336737,
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
"epoch": 0.52,
|
309 |
"learning_rate": 2.7718537898066833e-06,
|
310 |
+
"logits/chosen": -1.9052807092666626,
|
311 |
+
"logits/rejected": -1.9099184274673462,
|
312 |
+
"logps/chosen": -31.314193725585938,
|
313 |
+
"logps/rejected": -32.81206512451172,
|
314 |
+
"loss": 0.6329,
|
315 |
+
"rewards/accuracies": 0.7124999761581421,
|
316 |
+
"rewards/chosen": 0.14604374766349792,
|
317 |
+
"rewards/margins": 0.15660937130451202,
|
318 |
+
"rewards/rejected": -0.010565629228949547,
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
"epoch": 0.52,
|
323 |
+
"eval_logits/chosen": -2.230377674102783,
|
324 |
+
"eval_logits/rejected": -2.225529193878174,
|
325 |
+
"eval_logps/chosen": -34.05998992919922,
|
326 |
+
"eval_logps/rejected": -37.57161331176758,
|
327 |
+
"eval_loss": 0.6905081868171692,
|
328 |
+
"eval_rewards/accuracies": 0.5274086594581604,
|
329 |
+
"eval_rewards/chosen": -0.012718739919364452,
|
330 |
+
"eval_rewards/margins": 0.014778696931898594,
|
331 |
+
"eval_rewards/rejected": -0.027497438713908195,
|
332 |
+
"eval_runtime": 145.701,
|
333 |
+
"eval_samples_per_second": 2.354,
|
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": -2.017439603805542,
|
341 |
+
"logits/rejected": -2.0280823707580566,
|
342 |
+
"logps/chosen": -31.72454261779785,
|
343 |
+
"logps/rejected": -33.935951232910156,
|
344 |
+
"loss": 0.6269,
|
345 |
"rewards/accuracies": 0.6625000238418579,
|
346 |
+
"rewards/chosen": 0.12337962538003922,
|
347 |
+
"rewards/margins": 0.16000542044639587,
|
348 |
+
"rewards/rejected": -0.036625780165195465,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
"epoch": 0.57,
|
353 |
"learning_rate": 2.3185646976551794e-06,
|
354 |
+
"logits/chosen": -1.909328818321228,
|
355 |
+
"logits/rejected": -1.924088716506958,
|
356 |
+
"logps/chosen": -29.841415405273438,
|
357 |
+
"logps/rejected": -31.60904884338379,
|
358 |
+
"loss": 0.6274,
|
359 |
+
"rewards/accuracies": 0.675000011920929,
|
360 |
+
"rewards/chosen": 0.13506175577640533,
|
361 |
+
"rewards/margins": 0.16049805283546448,
|
362 |
+
"rewards/rejected": -0.02543630823493004,
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.6,
|
367 |
"learning_rate": 2.0932279108998323e-06,
|
368 |
+
"logits/chosen": -1.966265320777893,
|
369 |
+
"logits/rejected": -1.970245361328125,
|
370 |
+
"logps/chosen": -33.091209411621094,
|
371 |
+
"logps/rejected": -31.639759063720703,
|
372 |
+
"loss": 0.6126,
|
373 |
+
"rewards/accuracies": 0.7250000238418579,
|
374 |
+
"rewards/chosen": 0.16312837600708008,
|
375 |
+
"rewards/margins": 0.20835788547992706,
|
376 |
+
"rewards/rejected": -0.045229505747556686,
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
"epoch": 0.62,
|
381 |
"learning_rate": 1.8712423238279358e-06,
|
382 |
+
"logits/chosen": -1.9648067951202393,
|
383 |
+
"logits/rejected": -1.9429614543914795,
|
384 |
+
"logps/chosen": -33.82001495361328,
|
385 |
+
"logps/rejected": -35.11749267578125,
|
386 |
+
"loss": 0.5941,
|
387 |
+
"rewards/accuracies": 0.7250000238418579,
|
388 |
+
"rewards/chosen": 0.16686691343784332,
|
389 |
+
"rewards/margins": 0.25021862983703613,
|
390 |
+
"rewards/rejected": -0.08335171639919281,
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
"epoch": 0.65,
|
395 |
"learning_rate": 1.6544367689701824e-06,
|
396 |
+
"logits/chosen": -2.005873441696167,
|
397 |
+
"logits/rejected": -2.002545118331909,
|
398 |
+
"logps/chosen": -32.70961380004883,
|
399 |
+
"logps/rejected": -36.252098083496094,
|
400 |
+
"loss": 0.6448,
|
401 |
+
"rewards/accuracies": 0.637499988079071,
|
402 |
+
"rewards/chosen": 0.10772605985403061,
|
403 |
+
"rewards/margins": 0.12131496518850327,
|
404 |
+
"rewards/rejected": -0.013588905334472656,
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.68,
|
409 |
"learning_rate": 1.4445974030621963e-06,
|
410 |
+
"logits/chosen": -1.8737099170684814,
|
411 |
+
"logits/rejected": -1.8713098764419556,
|
412 |
+
"logps/chosen": -33.96501922607422,
|
413 |
+
"logps/rejected": -35.54829025268555,
|
414 |
+
"loss": 0.6377,
|
415 |
+
"rewards/accuracies": 0.7250000238418579,
|
416 |
+
"rewards/chosen": 0.11169042438268661,
|
417 |
+
"rewards/margins": 0.13352498412132263,
|
418 |
+
"rewards/rejected": -0.02183455601334572,
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
"epoch": 0.7,
|
423 |
"learning_rate": 1.243452991757889e-06,
|
424 |
+
"logits/chosen": -1.858642578125,
|
425 |
+
"logits/rejected": -1.8562240600585938,
|
426 |
+
"logps/chosen": -34.18030548095703,
|
427 |
+
"logps/rejected": -31.82675552368164,
|
428 |
+
"loss": 0.6384,
|
429 |
+
"rewards/accuracies": 0.6625000238418579,
|
430 |
+
"rewards/chosen": 0.1086462140083313,
|
431 |
+
"rewards/margins": 0.1363571435213089,
|
432 |
+
"rewards/rejected": -0.027710938826203346,
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
"epoch": 0.73,
|
437 |
"learning_rate": 1.0526606671603523e-06,
|
438 |
+
"logits/chosen": -1.9618957042694092,
|
439 |
+
"logits/rejected": -1.9513881206512451,
|
440 |
+
"logps/chosen": -35.000816345214844,
|
441 |
+
"logps/rejected": -31.879558563232422,
|
442 |
+
"loss": 0.6107,
|
443 |
"rewards/accuracies": 0.737500011920929,
|
444 |
+
"rewards/chosen": 0.17791253328323364,
|
445 |
+
"rewards/margins": 0.1971966028213501,
|
446 |
+
"rewards/rejected": -0.019284065812826157,
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.75,
|
451 |
"learning_rate": 8.737922755071455e-07,
|
452 |
+
"logits/chosen": -2.0570178031921387,
|
453 |
+
"logits/rejected": -2.04209566116333,
|
454 |
+
"logps/chosen": -30.695226669311523,
|
455 |
+
"logps/rejected": -32.64103317260742,
|
456 |
+
"loss": 0.654,
|
457 |
+
"rewards/accuracies": 0.5874999761581421,
|
458 |
+
"rewards/chosen": 0.11444780975580215,
|
459 |
+
"rewards/margins": 0.10904743522405624,
|
460 |
+
"rewards/rejected": 0.005400371737778187,
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
"epoch": 0.78,
|
465 |
"learning_rate": 7.08321427484816e-07,
|
466 |
+
"logits/chosen": -1.9285688400268555,
|
467 |
+
"logits/rejected": -1.9260343313217163,
|
468 |
+
"logps/chosen": -32.38969039916992,
|
469 |
+
"logps/rejected": -30.898773193359375,
|
470 |
+
"loss": 0.5742,
|
471 |
+
"rewards/accuracies": 0.762499988079071,
|
472 |
+
"rewards/chosen": 0.2687075138092041,
|
473 |
+
"rewards/margins": 0.3096885085105896,
|
474 |
+
"rewards/rejected": -0.04098101332783699,
|
475 |
"step": 300
|
476 |
},
|
477 |
{
|
478 |
"epoch": 0.78,
|
479 |
+
"eval_logits/chosen": -2.2279160022735596,
|
480 |
+
"eval_logits/rejected": -2.223081350326538,
|
481 |
+
"eval_logps/chosen": -34.089088439941406,
|
482 |
+
"eval_logps/rejected": -37.59783935546875,
|
483 |
+
"eval_loss": 0.6919631958007812,
|
484 |
+
"eval_rewards/accuracies": 0.5278239250183105,
|
485 |
+
"eval_rewards/chosen": -0.027267219498753548,
|
486 |
+
"eval_rewards/margins": 0.013343668542802334,
|
487 |
+
"eval_rewards/rejected": -0.040610890835523605,
|
488 |
+
"eval_runtime": 145.7459,
|
489 |
+
"eval_samples_per_second": 2.353,
|
490 |
"eval_steps_per_second": 0.295,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
"epoch": 0.81,
|
495 |
"learning_rate": 5.576113578589035e-07,
|
496 |
+
"logits/chosen": -1.9126602411270142,
|
497 |
+
"logits/rejected": -1.9093825817108154,
|
498 |
+
"logps/chosen": -31.319168090820312,
|
499 |
+
"logps/rejected": -33.805519104003906,
|
500 |
+
"loss": 0.624,
|
501 |
+
"rewards/accuracies": 0.7749999761581421,
|
502 |
+
"rewards/chosen": 0.1420917958021164,
|
503 |
+
"rewards/margins": 0.1737762689590454,
|
504 |
+
"rewards/rejected": -0.03168448060750961,
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
"epoch": 0.83,
|
509 |
"learning_rate": 4.229036944380913e-07,
|
510 |
+
"logits/chosen": -1.9627044200897217,
|
511 |
+
"logits/rejected": -1.9504749774932861,
|
512 |
+
"logps/chosen": -34.31007385253906,
|
513 |
+
"logps/rejected": -33.66672134399414,
|
514 |
+
"loss": 0.6084,
|
515 |
+
"rewards/accuracies": 0.7124999761581421,
|
516 |
+
"rewards/chosen": 0.1430002748966217,
|
517 |
+
"rewards/margins": 0.20694026350975037,
|
518 |
+
"rewards/rejected": -0.06393997371196747,
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.86,
|
523 |
"learning_rate": 3.053082288996112e-07,
|
524 |
+
"logits/chosen": -1.9980976581573486,
|
525 |
+
"logits/rejected": -1.9966537952423096,
|
526 |
+
"logps/chosen": -33.16533660888672,
|
527 |
+
"logps/rejected": -32.55678939819336,
|
528 |
+
"loss": 0.6136,
|
529 |
+
"rewards/accuracies": 0.7250000238418579,
|
530 |
+
"rewards/chosen": 0.1602279245853424,
|
531 |
+
"rewards/margins": 0.19883206486701965,
|
532 |
+
"rewards/rejected": -0.03860412910580635,
|
533 |
"step": 330
|
534 |
},
|
535 |
{
|
536 |
"epoch": 0.88,
|
537 |
"learning_rate": 2.0579377374915805e-07,
|
538 |
+
"logits/chosen": -2.0848796367645264,
|
539 |
+
"logits/rejected": -2.069186210632324,
|
540 |
+
"logps/chosen": -33.787841796875,
|
541 |
+
"logps/rejected": -33.07987976074219,
|
542 |
+
"loss": 0.6229,
|
543 |
+
"rewards/accuracies": 0.7250000238418579,
|
544 |
+
"rewards/chosen": 0.19577431678771973,
|
545 |
+
"rewards/margins": 0.17669571936130524,
|
546 |
+
"rewards/rejected": 0.01907859742641449,
|
547 |
"step": 340
|
548 |
},
|
549 |
{
|
550 |
"epoch": 0.91,
|
551 |
"learning_rate": 1.2518018074041684e-07,
|
552 |
+
"logits/chosen": -1.957275390625,
|
553 |
+
"logits/rejected": -1.9564218521118164,
|
554 |
+
"logps/chosen": -32.81622314453125,
|
555 |
+
"logps/rejected": -32.52650833129883,
|
556 |
+
"loss": 0.5923,
|
557 |
+
"rewards/accuracies": 0.7124999761581421,
|
558 |
+
"rewards/chosen": 0.23293733596801758,
|
559 |
+
"rewards/margins": 0.2636169195175171,
|
560 |
+
"rewards/rejected": -0.030679568648338318,
|
561 |
"step": 350
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.94,
|
565 |
"learning_rate": 6.41315865106129e-08,
|
566 |
+
"logits/chosen": -1.9124408960342407,
|
567 |
+
"logits/rejected": -1.92275071144104,
|
568 |
+
"logps/chosen": -31.859888076782227,
|
569 |
+
"logps/rejected": -35.33869934082031,
|
570 |
+
"loss": 0.6119,
|
571 |
+
"rewards/accuracies": 0.699999988079071,
|
572 |
+
"rewards/chosen": 0.17240020632743835,
|
573 |
+
"rewards/margins": 0.19736871123313904,
|
574 |
+
"rewards/rejected": -0.024968529120087624,
|
575 |
"step": 360
|
576 |
},
|
577 |
{
|
578 |
"epoch": 0.96,
|
579 |
"learning_rate": 2.3150941078050325e-08,
|
580 |
+
"logits/chosen": -2.0522782802581787,
|
581 |
+
"logits/rejected": -2.045797824859619,
|
582 |
+
"logps/chosen": -33.34915542602539,
|
583 |
+
"logps/rejected": -29.27215576171875,
|
584 |
+
"loss": 0.6194,
|
585 |
+
"rewards/accuracies": 0.75,
|
586 |
+
"rewards/chosen": 0.15140748023986816,
|
587 |
+
"rewards/margins": 0.1742721050977707,
|
588 |
+
"rewards/rejected": -0.022864630445837975,
|
589 |
"step": 370
|
590 |
},
|
591 |
{
|
592 |
"epoch": 0.99,
|
593 |
"learning_rate": 2.575864278703266e-09,
|
594 |
+
"logits/chosen": -1.9120715856552124,
|
595 |
+
"logits/rejected": -1.9142844676971436,
|
596 |
+
"logps/chosen": -33.86906051635742,
|
597 |
+
"logps/rejected": -30.961559295654297,
|
598 |
+
"loss": 0.5996,
|
599 |
+
"rewards/accuracies": 0.7250000238418579,
|
600 |
+
"rewards/chosen": 0.1849948763847351,
|
601 |
+
"rewards/margins": 0.22946183383464813,
|
602 |
+
"rewards/rejected": -0.04446694999933243,
|
603 |
"step": 380
|
604 |
},
|
605 |
{
|
606 |
"epoch": 1.0,
|
607 |
"step": 385,
|
608 |
"total_flos": 0.0,
|
609 |
+
"train_loss": 0.64145151051608,
|
610 |
+
"train_runtime": 3249.8987,
|
611 |
"train_samples_per_second": 0.947,
|
612 |
"train_steps_per_second": 0.118
|
613 |
}
|