Model save
Browse files- README.md +3 -19
- all_results.json +5 -5
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +395 -641
- training_args.bin +2 -2
README.md
CHANGED
@@ -14,16 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
# zephyr-7b-dpo-full
|
15 |
|
16 |
This model was trained from scratch on the None dataset.
|
17 |
-
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 0.0415
|
19 |
-
- Rewards/chosen: -1.1176
|
20 |
-
- Rewards/rejected: -2.0114
|
21 |
-
- Rewards/accuracies: 0.7070
|
22 |
-
- Rewards/margins: 0.8938
|
23 |
-
- Logps/rejected: -531.2747
|
24 |
-
- Logps/chosen: -435.5875
|
25 |
-
- Logits/rejected: 0.8196
|
26 |
-
- Logits/chosen: 0.7291
|
27 |
|
28 |
## Model description
|
29 |
|
@@ -43,12 +33,12 @@ More information needed
|
|
43 |
|
44 |
The following hyperparameters were used during training:
|
45 |
- learning_rate: 3e-06
|
46 |
-
- train_batch_size:
|
47 |
- eval_batch_size: 8
|
48 |
-
- seed:
|
49 |
- distributed_type: multi-GPU
|
50 |
- num_devices: 8
|
51 |
-
- gradient_accumulation_steps:
|
52 |
- total_train_batch_size: 128
|
53 |
- total_eval_batch_size: 64
|
54 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
@@ -58,12 +48,6 @@ The following hyperparameters were used during training:
|
|
58 |
|
59 |
### Training results
|
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 |
-
| 0.066 | 0.21 | 100 | 0.0702 | -0.4714 | -1.0800 | 0.7266 | 0.6086 | -438.1371 | -370.9747 | 0.7687 | 0.6183 |
|
64 |
-
| 0.0477 | 0.42 | 200 | 0.0505 | -1.0382 | -1.8566 | 0.7461 | 0.8184 | -515.7967 | -427.6501 | 0.5198 | 0.4181 |
|
65 |
-
| 0.0313 | 0.63 | 300 | 0.0344 | -1.3029 | -2.2224 | 0.7227 | 0.9195 | -552.3698 | -454.1193 | 1.0434 | 0.9401 |
|
66 |
-
| 0.0359 | 0.84 | 400 | 0.0415 | -1.1176 | -2.0114 | 0.7070 | 0.8938 | -531.2747 | -435.5875 | 0.8196 | 0.7291 |
|
67 |
|
68 |
|
69 |
### Framework versions
|
|
|
14 |
# zephyr-7b-dpo-full
|
15 |
|
16 |
This model was trained from scratch on the None dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
|
18 |
## Model description
|
19 |
|
|
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
- learning_rate: 3e-06
|
36 |
+
- train_batch_size: 2
|
37 |
- eval_batch_size: 8
|
38 |
+
- seed: 1
|
39 |
- distributed_type: multi-GPU
|
40 |
- num_devices: 8
|
41 |
+
- gradient_accumulation_steps: 8
|
42 |
- total_train_batch_size: 128
|
43 |
- total_eval_batch_size: 64
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
48 |
|
49 |
### Training results
|
50 |
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
|
52 |
|
53 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.3547657697973117,
|
4 |
+
"train_runtime": 5270.9361,
|
5 |
+
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.641,
|
7 |
+
"train_steps_per_second": 0.067
|
8 |
}
|
model-00001-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4976698672
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85e0dec32f242e5185356c9aabdb63b6361f0e76923db502922b96ae33954e21
|
3 |
size 4976698672
|
model-00002-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999802720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4c71f08ad1d050aa51128e168230fbf7b08a12a7469048f453be868dc4b011c1
|
3 |
size 4999802720
|
model-00003-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4915916176
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:57e7b9d8250962948a9f4a596ab9c8e0fba7ec3e5cbb4089122bb5bb2d64378b
|
3 |
size 4915916176
|
model-00004-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1168138808
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:213a31aa46d216f4a6147988c22f9d730650373e142b430f375ebcf8f54ab823
|
3 |
size 1168138808
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.3547657697973117,
|
4 |
+
"train_runtime": 5270.9361,
|
5 |
+
"train_samples": 45548,
|
6 |
+
"train_samples_per_second": 8.641,
|
7 |
+
"train_steps_per_second": 0.067
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,763 +1,517 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
-
"eval_steps":
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"learning_rate":
|
14 |
-
"logits/chosen": 0.
|
15 |
-
"logits/rejected": 0.
|
16 |
-
"logps/chosen": -
|
17 |
-
"logps/rejected": -
|
18 |
-
"loss": 0.
|
19 |
-
"rewards/accuracies": 0.
|
20 |
-
"rewards/chosen": 0.
|
21 |
-
"rewards/margins": 0.
|
22 |
-
"rewards/rejected": 0.
|
23 |
-
"step": 1
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.02,
|
27 |
-
"learning_rate": 6.25e-07,
|
28 |
-
"logits/chosen": 0.21480141580104828,
|
29 |
-
"logits/rejected": 0.3137889802455902,
|
30 |
-
"logps/chosen": -308.09619140625,
|
31 |
-
"logps/rejected": -308.85736083984375,
|
32 |
-
"loss": 0.1432,
|
33 |
-
"rewards/accuracies": 0.4791666567325592,
|
34 |
-
"rewards/chosen": -0.0008134886738844216,
|
35 |
-
"rewards/margins": 0.0006454013055190444,
|
36 |
-
"rewards/rejected": -0.001458889921195805,
|
37 |
"step": 10
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"learning_rate": 1.
|
42 |
-
"logits/chosen": 0.
|
43 |
-
"logits/rejected": 0.
|
44 |
-
"logps/chosen": -
|
45 |
-
"logps/rejected": -
|
46 |
-
"loss": 0.
|
47 |
-
"rewards/accuracies": 0.
|
48 |
-
"rewards/chosen": 0.
|
49 |
-
"rewards/margins": 0.
|
50 |
-
"rewards/rejected": -0.
|
51 |
"step": 20
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate":
|
56 |
-
"logits/chosen": 0.
|
57 |
-
"logits/rejected": 0.
|
58 |
-
"logps/chosen": -
|
59 |
-
"logps/rejected": -
|
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.
|
69 |
-
"learning_rate": 2.
|
70 |
-
"logits/chosen": 0.
|
71 |
-
"logits/rejected": 0.
|
72 |
-
"logps/chosen": -
|
73 |
-
"logps/rejected": -
|
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.
|
83 |
-
"learning_rate": 2.
|
84 |
-
"logits/chosen": 0.
|
85 |
-
"logits/rejected": 0.
|
86 |
-
"logps/chosen": -
|
87 |
-
"logps/rejected": -
|
88 |
-
"loss": 0.
|
89 |
-
"rewards/accuracies": 0.
|
90 |
-
"rewards/chosen": -0.
|
91 |
-
"rewards/margins": 0.
|
92 |
-
"rewards/rejected": -0.
|
93 |
"step": 50
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate": 2.
|
98 |
-
"logits/chosen": 0.
|
99 |
-
"logits/rejected": 0.
|
100 |
-
"logps/chosen": -
|
101 |
-
"logps/rejected": -
|
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.
|
111 |
-
"learning_rate": 2.
|
112 |
-
"logits/chosen": 0.
|
113 |
-
"logits/rejected": 0.
|
114 |
-
"logps/chosen": -
|
115 |
-
"logps/rejected": -
|
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.
|
125 |
-
"learning_rate": 2.
|
126 |
-
"logits/chosen": 0.
|
127 |
-
"logits/rejected": 0.
|
128 |
-
"logps/chosen": -
|
129 |
-
"logps/rejected": -
|
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.
|
139 |
-
"learning_rate": 2.
|
140 |
-
"logits/chosen": 0.
|
141 |
-
"logits/rejected": 0.
|
142 |
-
"logps/chosen": -
|
143 |
-
"logps/rejected": -
|
144 |
-
"loss": 0.
|
145 |
-
"rewards/accuracies": 0.
|
146 |
-
"rewards/chosen": -0.
|
147 |
-
"rewards/margins": 0.
|
148 |
-
"rewards/rejected": -
|
149 |
"step": 90
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"learning_rate": 2.
|
154 |
-
"logits/chosen": 0.
|
155 |
-
"logits/rejected": 0.
|
156 |
-
"logps/chosen": -
|
157 |
-
"logps/rejected": -
|
158 |
-
"loss": 0.
|
159 |
-
"rewards/accuracies": 0.
|
160 |
-
"rewards/chosen": -0.
|
161 |
-
"rewards/margins": 0.
|
162 |
-
"rewards/rejected": -
|
163 |
-
"step": 100
|
164 |
-
},
|
165 |
-
{
|
166 |
-
"epoch": 0.21,
|
167 |
-
"eval_logits/chosen": 0.6183323860168457,
|
168 |
-
"eval_logits/rejected": 0.7686768174171448,
|
169 |
-
"eval_logps/chosen": -370.9747009277344,
|
170 |
-
"eval_logps/rejected": -438.13714599609375,
|
171 |
-
"eval_loss": 0.07016688585281372,
|
172 |
-
"eval_rewards/accuracies": 0.7265625,
|
173 |
-
"eval_rewards/chosen": -0.47144782543182373,
|
174 |
-
"eval_rewards/margins": 0.6085766553878784,
|
175 |
-
"eval_rewards/rejected": -1.0800243616104126,
|
176 |
-
"eval_runtime": 74.3034,
|
177 |
-
"eval_samples_per_second": 26.917,
|
178 |
-
"eval_steps_per_second": 0.431,
|
179 |
"step": 100
|
180 |
},
|
181 |
{
|
182 |
-
"epoch": 0.
|
183 |
-
"learning_rate": 2.
|
184 |
-
"logits/chosen": 0.
|
185 |
-
"logits/rejected": 0.
|
186 |
-
"logps/chosen": -
|
187 |
-
"logps/rejected": -
|
188 |
-
"loss": 0.
|
189 |
-
"rewards/accuracies": 0.
|
190 |
-
"rewards/chosen": -0.
|
191 |
-
"rewards/margins": 0.
|
192 |
-
"rewards/rejected": -
|
193 |
"step": 110
|
194 |
},
|
195 |
{
|
196 |
-
"epoch": 0.
|
197 |
-
"learning_rate": 2.
|
198 |
-
"logits/chosen": 0.
|
199 |
-
"logits/rejected": 0.
|
200 |
-
"logps/chosen": -
|
201 |
-
"logps/rejected": -
|
202 |
-
"loss": 0.
|
203 |
-
"rewards/accuracies": 0.
|
204 |
-
"rewards/chosen": -0.
|
205 |
-
"rewards/margins": 0.
|
206 |
-
"rewards/rejected": -
|
207 |
"step": 120
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 0.
|
211 |
-
"learning_rate": 2.
|
212 |
-
"logits/chosen": 0.
|
213 |
-
"logits/rejected": 0.
|
214 |
-
"logps/chosen": -
|
215 |
-
"logps/rejected": -
|
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.
|
225 |
-
"learning_rate": 2.
|
226 |
-
"logits/chosen": 0.
|
227 |
-
"logits/rejected": 0.
|
228 |
-
"logps/chosen": -
|
229 |
-
"logps/rejected": -
|
230 |
-
"loss": 0.
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen": -
|
233 |
-
"rewards/margins": 0.
|
234 |
-
"rewards/rejected": -1.
|
235 |
"step": 140
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 0.
|
239 |
-
"learning_rate": 2.
|
240 |
-
"logits/chosen": 0.
|
241 |
-
"logits/rejected": 0.
|
242 |
-
"logps/chosen": -
|
243 |
-
"logps/rejected": -
|
244 |
-
"loss": 0.
|
245 |
-
"rewards/accuracies": 0.
|
246 |
-
"rewards/chosen": -
|
247 |
-
"rewards/margins": 0.
|
248 |
-
"rewards/rejected": -
|
249 |
"step": 150
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
-
"learning_rate": 2.
|
254 |
-
"logits/chosen": 0.
|
255 |
-
"logits/rejected": 0.
|
256 |
-
"logps/chosen": -
|
257 |
-
"logps/rejected": -
|
258 |
-
"loss": 0.
|
259 |
-
"rewards/accuracies": 0.
|
260 |
-
"rewards/chosen": -0.
|
261 |
-
"rewards/margins": 0.
|
262 |
-
"rewards/rejected": -1.
|
263 |
"step": 160
|
264 |
},
|
265 |
{
|
266 |
-
"epoch": 0.
|
267 |
-
"learning_rate":
|
268 |
-
"logits/chosen": 0.
|
269 |
-
"logits/rejected": 0.
|
270 |
-
"logps/chosen": -
|
271 |
-
"logps/rejected": -
|
272 |
-
"loss": 0.
|
273 |
-
"rewards/accuracies": 0.
|
274 |
-
"rewards/chosen": -0.
|
275 |
-
"rewards/margins": 0.
|
276 |
-
"rewards/rejected": -1.
|
277 |
"step": 170
|
278 |
},
|
279 |
{
|
280 |
-
"epoch": 0.
|
281 |
-
"learning_rate":
|
282 |
-
"logits/chosen": 0.
|
283 |
-
"logits/rejected": 0.
|
284 |
-
"logps/chosen": -
|
285 |
-
"logps/rejected": -
|
286 |
-
"loss": 0.
|
287 |
-
"rewards/accuracies": 0.
|
288 |
-
"rewards/chosen": -0.
|
289 |
-
"rewards/margins": 0.
|
290 |
-
"rewards/rejected": -1.
|
291 |
"step": 180
|
292 |
},
|
293 |
{
|
294 |
-
"epoch": 0.
|
295 |
-
"learning_rate":
|
296 |
-
"logits/chosen": 0.
|
297 |
-
"logits/rejected": 0.
|
298 |
-
"logps/chosen": -
|
299 |
-
"logps/rejected": -
|
300 |
-
"loss": 0.
|
301 |
-
"rewards/accuracies": 0.
|
302 |
-
"rewards/chosen": -0.
|
303 |
-
"rewards/margins": 0.
|
304 |
-
"rewards/rejected": -1.
|
305 |
"step": 190
|
306 |
},
|
307 |
{
|
308 |
-
"epoch": 0.
|
309 |
-
"learning_rate":
|
310 |
-
"logits/chosen": 0.
|
311 |
-
"logits/rejected": 0.
|
312 |
-
"logps/chosen": -
|
313 |
-
"logps/rejected": -
|
314 |
-
"loss": 0.
|
315 |
-
"rewards/accuracies": 0.
|
316 |
-
"rewards/chosen": -1.
|
317 |
-
"rewards/margins": 0.
|
318 |
-
"rewards/rejected": -1.
|
319 |
"step": 200
|
320 |
},
|
321 |
{
|
322 |
-
"epoch": 0.
|
323 |
-
"
|
324 |
-
"
|
325 |
-
"
|
326 |
-
"
|
327 |
-
"
|
328 |
-
"
|
329 |
-
"
|
330 |
-
"
|
331 |
-
"
|
332 |
-
"
|
333 |
-
"eval_samples_per_second": 26.601,
|
334 |
-
"eval_steps_per_second": 0.426,
|
335 |
-
"step": 200
|
336 |
-
},
|
337 |
-
{
|
338 |
-
"epoch": 0.44,
|
339 |
-
"learning_rate": 2.062588805414343e-06,
|
340 |
-
"logits/chosen": 0.29592061042785645,
|
341 |
-
"logits/rejected": 0.39124542474746704,
|
342 |
-
"logps/chosen": -458.99554443359375,
|
343 |
-
"logps/rejected": -476.7998046875,
|
344 |
-
"loss": 0.0543,
|
345 |
-
"rewards/accuracies": 0.706250011920929,
|
346 |
-
"rewards/chosen": -1.0953991413116455,
|
347 |
-
"rewards/margins": 0.6356866955757141,
|
348 |
-
"rewards/rejected": -1.731086015701294,
|
349 |
"step": 210
|
350 |
},
|
351 |
{
|
352 |
-
"epoch": 0.
|
353 |
-
"learning_rate": 1.
|
354 |
-
"logits/chosen": 0.
|
355 |
-
"logits/rejected": 0.
|
356 |
-
"logps/chosen": -
|
357 |
-
"logps/rejected": -
|
358 |
-
"loss": 0.
|
359 |
-
"rewards/accuracies": 0.
|
360 |
-
"rewards/chosen": -0.
|
361 |
-
"rewards/margins": 0.
|
362 |
-
"rewards/rejected": -1.
|
363 |
"step": 220
|
364 |
},
|
365 |
{
|
366 |
-
"epoch": 0.
|
367 |
-
"learning_rate": 1.
|
368 |
-
"logits/chosen": 0.
|
369 |
-
"logits/rejected": 0.
|
370 |
-
"logps/chosen": -
|
371 |
-
"logps/rejected": -
|
372 |
-
"loss": 0.
|
373 |
-
"rewards/accuracies": 0.
|
374 |
-
"rewards/chosen": -
|
375 |
-
"rewards/margins": 0.
|
376 |
-
"rewards/rejected": -1.
|
377 |
"step": 230
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 0.
|
381 |
-
"learning_rate":
|
382 |
-
"logits/chosen": 0.
|
383 |
-
"logits/rejected": 0.
|
384 |
-
"logps/chosen": -
|
385 |
-
"logps/rejected": -
|
386 |
-
"loss": 0.
|
387 |
-
"rewards/accuracies": 0.
|
388 |
-
"rewards/chosen": -
|
389 |
-
"rewards/margins": 0.
|
390 |
-
"rewards/rejected": -1.
|
391 |
"step": 240
|
392 |
},
|
393 |
{
|
394 |
-
"epoch": 0.
|
395 |
-
"learning_rate":
|
396 |
-
"logits/chosen": 0.
|
397 |
-
"logits/rejected": 0.
|
398 |
-
"logps/chosen": -
|
399 |
-
"logps/rejected": -
|
400 |
-
"loss": 0.
|
401 |
-
"rewards/accuracies": 0.
|
402 |
-
"rewards/chosen": -
|
403 |
-
"rewards/margins": 0.
|
404 |
-
"rewards/rejected": -
|
405 |
"step": 250
|
406 |
},
|
407 |
{
|
408 |
-
"epoch": 0.
|
409 |
-
"learning_rate":
|
410 |
-
"logits/chosen": 0.
|
411 |
-
"logits/rejected": 0.
|
412 |
-
"logps/chosen": -
|
413 |
-
"logps/rejected": -
|
414 |
-
"loss": 0.
|
415 |
-
"rewards/accuracies": 0.
|
416 |
-
"rewards/chosen": -
|
417 |
-
"rewards/margins": 0.
|
418 |
-
"rewards/rejected": -
|
419 |
"step": 260
|
420 |
},
|
421 |
{
|
422 |
-
"epoch": 0.
|
423 |
-
"learning_rate":
|
424 |
-
"logits/chosen": 0.
|
425 |
-
"logits/rejected": 0.
|
426 |
-
"logps/chosen": -
|
427 |
-
"logps/rejected": -
|
428 |
-
"loss": 0.
|
429 |
-
"rewards/accuracies": 0.
|
430 |
-
"rewards/chosen": -
|
431 |
-
"rewards/margins": 0.
|
432 |
-
"rewards/rejected": -
|
433 |
"step": 270
|
434 |
},
|
435 |
{
|
436 |
-
"epoch": 0.
|
437 |
-
"learning_rate":
|
438 |
-
"logits/chosen": 0.
|
439 |
-
"logits/rejected": 0.
|
440 |
-
"logps/chosen": -
|
441 |
-
"logps/rejected": -
|
442 |
-
"loss": 0.
|
443 |
-
"rewards/accuracies": 0.
|
444 |
-
"rewards/chosen": -1.
|
445 |
-
"rewards/margins": 0.
|
446 |
-
"rewards/rejected": -
|
447 |
"step": 280
|
448 |
},
|
449 |
{
|
450 |
-
"epoch": 0.
|
451 |
-
"learning_rate":
|
452 |
-
"logits/chosen": 0.
|
453 |
-
"logits/rejected":
|
454 |
-
"logps/chosen": -
|
455 |
-
"logps/rejected": -
|
456 |
-
"loss": 0.
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen": -1.
|
459 |
-
"rewards/margins": 0.
|
460 |
-
"rewards/rejected": -
|
461 |
"step": 290
|
462 |
},
|
463 |
{
|
464 |
-
"epoch": 0.
|
465 |
-
"learning_rate":
|
466 |
-
"logits/chosen": 0.
|
467 |
-
"logits/rejected": 0.
|
468 |
-
"logps/chosen": -
|
469 |
-
"logps/rejected": -
|
470 |
-
"loss": 0.
|
471 |
-
"rewards/accuracies": 0.
|
472 |
-
"rewards/chosen": -
|
473 |
-
"rewards/margins": 0.
|
474 |
-
"rewards/rejected": -
|
475 |
-
"step": 300
|
476 |
-
},
|
477 |
-
{
|
478 |
-
"epoch": 0.63,
|
479 |
-
"eval_logits/chosen": 0.9400739669799805,
|
480 |
-
"eval_logits/rejected": 1.0433921813964844,
|
481 |
-
"eval_logps/chosen": -454.1192932128906,
|
482 |
-
"eval_logps/rejected": -552.3697509765625,
|
483 |
-
"eval_loss": 0.03436482325196266,
|
484 |
-
"eval_rewards/accuracies": 0.72265625,
|
485 |
-
"eval_rewards/chosen": -1.3028936386108398,
|
486 |
-
"eval_rewards/margins": 0.9194571375846863,
|
487 |
-
"eval_rewards/rejected": -2.222350835800171,
|
488 |
-
"eval_runtime": 75.6069,
|
489 |
-
"eval_samples_per_second": 26.453,
|
490 |
-
"eval_steps_per_second": 0.423,
|
491 |
"step": 300
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 0.
|
495 |
-
"learning_rate":
|
496 |
-
"logits/chosen": 0.
|
497 |
-
"logits/rejected": 0.
|
498 |
-
"logps/chosen": -
|
499 |
-
"logps/rejected": -
|
500 |
-
"loss": 0.
|
501 |
-
"rewards/accuracies": 0.
|
502 |
-
"rewards/chosen": -
|
503 |
-
"rewards/margins": 0.
|
504 |
-
"rewards/rejected": -
|
505 |
"step": 310
|
506 |
},
|
507 |
{
|
508 |
-
"epoch": 0.
|
509 |
-
"learning_rate": 8.
|
510 |
-
"logits/chosen": 0.
|
511 |
-
"logits/rejected":
|
512 |
-
"logps/chosen": -
|
513 |
-
"logps/rejected": -
|
514 |
-
"loss": 0.
|
515 |
-
"rewards/accuracies": 0.
|
516 |
-
"rewards/chosen": -
|
517 |
-
"rewards/margins": 0.
|
518 |
-
"rewards/rejected": -1.
|
519 |
"step": 320
|
520 |
},
|
521 |
{
|
522 |
-
"epoch": 0.
|
523 |
-
"learning_rate":
|
524 |
-
"logits/chosen": 0.
|
525 |
-
"logits/rejected": 0.
|
526 |
-
"logps/chosen": -
|
527 |
-
"logps/rejected": -
|
528 |
-
"loss": 0.
|
529 |
-
"rewards/accuracies": 0.
|
530 |
-
"rewards/chosen": -
|
531 |
-
"rewards/margins": 0.
|
532 |
-
"rewards/rejected": -1.
|
533 |
"step": 330
|
534 |
},
|
535 |
-
{
|
536 |
-
"epoch": 0.71,
|
537 |
-
"learning_rate": 6.936646121293654e-07,
|
538 |
-
"logits/chosen": 0.5649510622024536,
|
539 |
-
"logits/rejected": 0.7639907598495483,
|
540 |
-
"logps/chosen": -466.2808532714844,
|
541 |
-
"logps/rejected": -526.1297607421875,
|
542 |
-
"loss": 0.0435,
|
543 |
-
"rewards/accuracies": 0.706250011920929,
|
544 |
-
"rewards/chosen": -1.0562084913253784,
|
545 |
-
"rewards/margins": 0.7370297312736511,
|
546 |
-
"rewards/rejected": -1.7932384014129639,
|
547 |
-
"step": 340
|
548 |
-
},
|
549 |
-
{
|
550 |
-
"epoch": 0.73,
|
551 |
-
"learning_rate": 6.032834097207889e-07,
|
552 |
-
"logits/chosen": 0.7209309935569763,
|
553 |
-
"logits/rejected": 0.7828409671783447,
|
554 |
-
"logps/chosen": -401.2094421386719,
|
555 |
-
"logps/rejected": -480.31671142578125,
|
556 |
-
"loss": 0.0403,
|
557 |
-
"rewards/accuracies": 0.699999988079071,
|
558 |
-
"rewards/chosen": -1.098332405090332,
|
559 |
-
"rewards/margins": 0.6962517499923706,
|
560 |
-
"rewards/rejected": -1.7945845127105713,
|
561 |
-
"step": 350
|
562 |
-
},
|
563 |
-
{
|
564 |
-
"epoch": 0.75,
|
565 |
-
"learning_rate": 5.177088990820725e-07,
|
566 |
-
"logits/chosen": 0.6787894368171692,
|
567 |
-
"logits/rejected": 0.8372275233268738,
|
568 |
-
"logps/chosen": -446.56317138671875,
|
569 |
-
"logps/rejected": -465.1809997558594,
|
570 |
-
"loss": 0.0453,
|
571 |
-
"rewards/accuracies": 0.6625000238418579,
|
572 |
-
"rewards/chosen": -1.136115550994873,
|
573 |
-
"rewards/margins": 0.6250497698783875,
|
574 |
-
"rewards/rejected": -1.7611652612686157,
|
575 |
-
"step": 360
|
576 |
-
},
|
577 |
-
{
|
578 |
-
"epoch": 0.77,
|
579 |
-
"learning_rate": 4.3739978734594494e-07,
|
580 |
-
"logits/chosen": 0.6346519589424133,
|
581 |
-
"logits/rejected": 0.867949366569519,
|
582 |
-
"logps/chosen": -439.4676208496094,
|
583 |
-
"logps/rejected": -468.6329040527344,
|
584 |
-
"loss": 0.0364,
|
585 |
-
"rewards/accuracies": 0.75,
|
586 |
-
"rewards/chosen": -1.016570806503296,
|
587 |
-
"rewards/margins": 0.8048780560493469,
|
588 |
-
"rewards/rejected": -1.8214489221572876,
|
589 |
-
"step": 370
|
590 |
-
},
|
591 |
-
{
|
592 |
-
"epoch": 0.8,
|
593 |
-
"learning_rate": 3.627865573992087e-07,
|
594 |
-
"logits/chosen": 0.6531890630722046,
|
595 |
-
"logits/rejected": 0.6925245523452759,
|
596 |
-
"logps/chosen": -437.359375,
|
597 |
-
"logps/rejected": -492.814453125,
|
598 |
-
"loss": 0.0425,
|
599 |
-
"rewards/accuracies": 0.6812499761581421,
|
600 |
-
"rewards/chosen": -1.09610116481781,
|
601 |
-
"rewards/margins": 0.6472191214561462,
|
602 |
-
"rewards/rejected": -1.7433204650878906,
|
603 |
-
"step": 380
|
604 |
-
},
|
605 |
-
{
|
606 |
-
"epoch": 0.82,
|
607 |
-
"learning_rate": 2.9426916035484166e-07,
|
608 |
-
"logits/chosen": 0.4887206554412842,
|
609 |
-
"logits/rejected": 0.7168077230453491,
|
610 |
-
"logps/chosen": -490.0777893066406,
|
611 |
-
"logps/rejected": -530.9293212890625,
|
612 |
-
"loss": 0.038,
|
613 |
-
"rewards/accuracies": 0.7875000238418579,
|
614 |
-
"rewards/chosen": -1.2254283428192139,
|
615 |
-
"rewards/margins": 0.8675802946090698,
|
616 |
-
"rewards/rejected": -2.0930087566375732,
|
617 |
-
"step": 390
|
618 |
-
},
|
619 |
-
{
|
620 |
-
"epoch": 0.84,
|
621 |
-
"learning_rate": 2.322148716843081e-07,
|
622 |
-
"logits/chosen": 0.6055541038513184,
|
623 |
-
"logits/rejected": 0.687682032585144,
|
624 |
-
"logps/chosen": -429.68603515625,
|
625 |
-
"logps/rejected": -461.8595275878906,
|
626 |
-
"loss": 0.0359,
|
627 |
-
"rewards/accuracies": 0.675000011920929,
|
628 |
-
"rewards/chosen": -1.1895955801010132,
|
629 |
-
"rewards/margins": 0.5694113373756409,
|
630 |
-
"rewards/rejected": -1.7590070962905884,
|
631 |
-
"step": 400
|
632 |
-
},
|
633 |
-
{
|
634 |
-
"epoch": 0.84,
|
635 |
-
"eval_logits/chosen": 0.7290832996368408,
|
636 |
-
"eval_logits/rejected": 0.8196390867233276,
|
637 |
-
"eval_logps/chosen": -435.5875244140625,
|
638 |
-
"eval_logps/rejected": -531.2747192382812,
|
639 |
-
"eval_loss": 0.04154704138636589,
|
640 |
-
"eval_rewards/accuracies": 0.70703125,
|
641 |
-
"eval_rewards/chosen": -1.1175758838653564,
|
642 |
-
"eval_rewards/margins": 0.8938245177268982,
|
643 |
-
"eval_rewards/rejected": -2.0114002227783203,
|
644 |
-
"eval_runtime": 75.1852,
|
645 |
-
"eval_samples_per_second": 26.601,
|
646 |
-
"eval_steps_per_second": 0.426,
|
647 |
-
"step": 400
|
648 |
-
},
|
649 |
-
{
|
650 |
-
"epoch": 0.86,
|
651 |
-
"learning_rate": 1.7695632250191002e-07,
|
652 |
-
"logits/chosen": 0.5428584814071655,
|
653 |
-
"logits/rejected": 0.6822582483291626,
|
654 |
-
"logps/chosen": -435.78680419921875,
|
655 |
-
"logps/rejected": -452.6622009277344,
|
656 |
-
"loss": 0.0367,
|
657 |
-
"rewards/accuracies": 0.6875,
|
658 |
-
"rewards/chosen": -1.1751288175582886,
|
659 |
-
"rewards/margins": 0.5176131129264832,
|
660 |
-
"rewards/rejected": -1.6927419900894165,
|
661 |
-
"step": 410
|
662 |
-
},
|
663 |
-
{
|
664 |
-
"epoch": 0.88,
|
665 |
-
"learning_rate": 1.2878971655412515e-07,
|
666 |
-
"logits/chosen": 0.5744162797927856,
|
667 |
-
"logits/rejected": 0.6994149088859558,
|
668 |
-
"logps/chosen": -474.30908203125,
|
669 |
-
"logps/rejected": -495.92852783203125,
|
670 |
-
"loss": 0.0394,
|
671 |
-
"rewards/accuracies": 0.637499988079071,
|
672 |
-
"rewards/chosen": -1.3165512084960938,
|
673 |
-
"rewards/margins": 0.6040414571762085,
|
674 |
-
"rewards/rejected": -1.9205926656723022,
|
675 |
-
"step": 420
|
676 |
-
},
|
677 |
-
{
|
678 |
-
"epoch": 0.9,
|
679 |
-
"learning_rate": 8.797324247145411e-08,
|
680 |
-
"logits/chosen": 0.6493648290634155,
|
681 |
-
"logits/rejected": 0.6758213043212891,
|
682 |
-
"logps/chosen": -426.60223388671875,
|
683 |
-
"logps/rejected": -521.1129150390625,
|
684 |
-
"loss": 0.0365,
|
685 |
-
"rewards/accuracies": 0.75,
|
686 |
-
"rewards/chosen": -1.1816965341567993,
|
687 |
-
"rewards/margins": 0.7749902009963989,
|
688 |
-
"rewards/rejected": -1.9566866159439087,
|
689 |
-
"step": 430
|
690 |
-
},
|
691 |
-
{
|
692 |
-
"epoch": 0.92,
|
693 |
-
"learning_rate": 5.472568979361853e-08,
|
694 |
-
"logits/chosen": 0.7012882232666016,
|
695 |
-
"logits/rejected": 0.7845873832702637,
|
696 |
-
"logps/chosen": -459.6414489746094,
|
697 |
-
"logps/rejected": -518.3292846679688,
|
698 |
-
"loss": 0.0412,
|
699 |
-
"rewards/accuracies": 0.643750011920929,
|
700 |
-
"rewards/chosen": -1.2379354238510132,
|
701 |
-
"rewards/margins": 0.7565950155258179,
|
702 |
-
"rewards/rejected": -1.994530439376831,
|
703 |
-
"step": 440
|
704 |
-
},
|
705 |
-
{
|
706 |
-
"epoch": 0.94,
|
707 |
-
"learning_rate": 2.922527618666465e-08,
|
708 |
-
"logits/chosen": 0.6378465294837952,
|
709 |
-
"logits/rejected": 0.8079195022583008,
|
710 |
-
"logps/chosen": -484.46197509765625,
|
711 |
-
"logps/rejected": -520.6287841796875,
|
712 |
-
"loss": 0.0404,
|
713 |
-
"rewards/accuracies": 0.6937500238418579,
|
714 |
-
"rewards/chosen": -1.2168313264846802,
|
715 |
-
"rewards/margins": 0.676922082901001,
|
716 |
-
"rewards/rejected": -1.8937534093856812,
|
717 |
-
"step": 450
|
718 |
-
},
|
719 |
{
|
720 |
"epoch": 0.96,
|
721 |
-
"learning_rate": 1.
|
722 |
-
"logits/chosen": 0.
|
723 |
-
"logits/rejected": 0.
|
724 |
-
"logps/chosen": -
|
725 |
-
"logps/rejected": -
|
726 |
-
"loss": 0.
|
727 |
-
"rewards/accuracies": 0.
|
728 |
-
"rewards/chosen": -
|
729 |
-
"rewards/margins": 0.
|
730 |
-
"rewards/rejected": -1.
|
731 |
-
"step":
|
732 |
},
|
733 |
{
|
734 |
"epoch": 0.98,
|
735 |
-
"learning_rate": 1.
|
736 |
-
"logits/chosen": 0.
|
737 |
-
"logits/rejected": 0.
|
738 |
-
"logps/chosen": -
|
739 |
-
"logps/rejected": -
|
740 |
-
"loss": 0.
|
741 |
-
"rewards/accuracies": 0.
|
742 |
-
"rewards/chosen": -
|
743 |
-
"rewards/margins": 0.
|
744 |
-
"rewards/rejected": -1.
|
745 |
-
"step":
|
746 |
},
|
747 |
{
|
748 |
"epoch": 1.0,
|
749 |
-
"step":
|
750 |
"total_flos": 0.0,
|
751 |
-
"train_loss": 0.
|
752 |
-
"train_runtime":
|
753 |
-
"train_samples_per_second":
|
754 |
-
"train_steps_per_second": 0.
|
755 |
}
|
756 |
],
|
757 |
"logging_steps": 10,
|
758 |
-
"max_steps":
|
759 |
"num_train_epochs": 1,
|
760 |
-
"save_steps":
|
761 |
"total_flos": 0.0,
|
762 |
"trial_name": null,
|
763 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9975412715138743,
|
5 |
+
"eval_steps": 10000,
|
6 |
+
"global_step": 355,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.03,
|
13 |
+
"learning_rate": 8.333333333333334e-07,
|
14 |
+
"logits/chosen": -0.08247309923171997,
|
15 |
+
"logits/rejected": -0.0386468842625618,
|
16 |
+
"logps/chosen": -327.3994140625,
|
17 |
+
"logps/rejected": -244.6085968017578,
|
18 |
+
"loss": 0.5077,
|
19 |
+
"rewards/accuracies": 0.3812499940395355,
|
20 |
+
"rewards/chosen": -0.002138084964826703,
|
21 |
+
"rewards/margins": -0.0002509051118977368,
|
22 |
+
"rewards/rejected": -0.0018871795618906617,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
"step": 10
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"learning_rate": 1.6666666666666669e-06,
|
28 |
+
"logits/chosen": -0.045555226504802704,
|
29 |
+
"logits/rejected": -0.013953140005469322,
|
30 |
+
"logps/chosen": -293.5519104003906,
|
31 |
+
"logps/rejected": -201.40576171875,
|
32 |
+
"loss": 0.5253,
|
33 |
+
"rewards/accuracies": 0.625,
|
34 |
+
"rewards/chosen": -0.021771755069494247,
|
35 |
+
"rewards/margins": 0.0479663722217083,
|
36 |
+
"rewards/rejected": -0.06973812729120255,
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.08,
|
41 |
+
"learning_rate": 2.5e-06,
|
42 |
+
"logits/chosen": -0.0032004565000534058,
|
43 |
+
"logits/rejected": 0.0453818179666996,
|
44 |
+
"logps/chosen": -361.3478088378906,
|
45 |
+
"logps/rejected": -237.36703491210938,
|
46 |
+
"loss": 0.5488,
|
47 |
+
"rewards/accuracies": 0.637499988079071,
|
48 |
+
"rewards/chosen": -0.12262026220560074,
|
49 |
+
"rewards/margins": 0.2048310935497284,
|
50 |
+
"rewards/rejected": -0.32745134830474854,
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.11,
|
55 |
+
"learning_rate": 2.9988362934929793e-06,
|
56 |
+
"logits/chosen": -0.09940309822559357,
|
57 |
+
"logits/rejected": -0.05378924682736397,
|
58 |
+
"logps/chosen": -314.38812255859375,
|
59 |
+
"logps/rejected": -247.3548583984375,
|
60 |
+
"loss": 0.5321,
|
61 |
+
"rewards/accuracies": 0.6000000238418579,
|
62 |
+
"rewards/chosen": -0.10980594158172607,
|
63 |
+
"rewards/margins": 0.13736829161643982,
|
64 |
+
"rewards/rejected": -0.24717426300048828,
|
65 |
"step": 40
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.14,
|
69 |
+
"learning_rate": 2.985765322825759e-06,
|
70 |
+
"logits/chosen": -0.1258987933397293,
|
71 |
+
"logits/rejected": -0.09743531048297882,
|
72 |
+
"logps/chosen": -320.26220703125,
|
73 |
+
"logps/rejected": -259.95989990234375,
|
74 |
+
"loss": 0.484,
|
75 |
+
"rewards/accuracies": 0.543749988079071,
|
76 |
+
"rewards/chosen": -0.047640036791563034,
|
77 |
+
"rewards/margins": 0.12707160413265228,
|
78 |
+
"rewards/rejected": -0.17471164464950562,
|
79 |
"step": 50
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.17,
|
83 |
+
"learning_rate": 2.9582958419982717e-06,
|
84 |
+
"logits/chosen": -0.20755784213542938,
|
85 |
+
"logits/rejected": -0.14810998737812042,
|
86 |
+
"logps/chosen": -397.5509948730469,
|
87 |
+
"logps/rejected": -250.44027709960938,
|
88 |
+
"loss": 0.463,
|
89 |
+
"rewards/accuracies": 0.699999988079071,
|
90 |
+
"rewards/chosen": -0.10637468099594116,
|
91 |
+
"rewards/margins": 0.37280240654945374,
|
92 |
+
"rewards/rejected": -0.4791770875453949,
|
93 |
"step": 60
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.2,
|
97 |
+
"learning_rate": 2.916694056980408e-06,
|
98 |
+
"logits/chosen": -0.19774258136749268,
|
99 |
+
"logits/rejected": -0.12501199543476105,
|
100 |
+
"logps/chosen": -388.07427978515625,
|
101 |
+
"logps/rejected": -266.5827331542969,
|
102 |
+
"loss": 0.4471,
|
103 |
+
"rewards/accuracies": 0.625,
|
104 |
+
"rewards/chosen": -0.19550617039203644,
|
105 |
+
"rewards/margins": 0.24603180587291718,
|
106 |
+
"rewards/rejected": -0.4415379464626312,
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.22,
|
111 |
+
"learning_rate": 2.8613631295064357e-06,
|
112 |
+
"logits/chosen": -0.168908953666687,
|
113 |
+
"logits/rejected": -0.16765542328357697,
|
114 |
+
"logps/chosen": -288.5673828125,
|
115 |
+
"logps/rejected": -233.2335968017578,
|
116 |
+
"loss": 0.4418,
|
117 |
+
"rewards/accuracies": 0.643750011920929,
|
118 |
+
"rewards/chosen": -0.2916755676269531,
|
119 |
+
"rewards/margins": 0.2403053343296051,
|
120 |
+
"rewards/rejected": -0.5319808721542358,
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.25,
|
125 |
+
"learning_rate": 2.792839270045916e-06,
|
126 |
+
"logits/chosen": -0.3168974816799164,
|
127 |
+
"logits/rejected": -0.27101725339889526,
|
128 |
+
"logps/chosen": -395.9394226074219,
|
129 |
+
"logps/rejected": -256.7802734375,
|
130 |
+
"loss": 0.4071,
|
131 |
+
"rewards/accuracies": 0.6875,
|
132 |
+
"rewards/chosen": -0.26048293709754944,
|
133 |
+
"rewards/margins": 0.4022350311279297,
|
134 |
+
"rewards/rejected": -0.6627179980278015,
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.28,
|
139 |
+
"learning_rate": 2.711786541403051e-06,
|
140 |
+
"logits/chosen": -0.33102917671203613,
|
141 |
+
"logits/rejected": -0.338579922914505,
|
142 |
+
"logps/chosen": -387.654296875,
|
143 |
+
"logps/rejected": -305.7378845214844,
|
144 |
+
"loss": 0.379,
|
145 |
+
"rewards/accuracies": 0.625,
|
146 |
+
"rewards/chosen": -0.4444798529148102,
|
147 |
+
"rewards/margins": 0.19619156420230865,
|
148 |
+
"rewards/rejected": -0.6406713724136353,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.31,
|
153 |
+
"learning_rate": 2.6189904233026363e-06,
|
154 |
+
"logits/chosen": -0.4311809539794922,
|
155 |
+
"logits/rejected": -0.3962547183036804,
|
156 |
+
"logps/chosen": -351.5871887207031,
|
157 |
+
"logps/rejected": -305.3436584472656,
|
158 |
+
"loss": 0.3607,
|
159 |
+
"rewards/accuracies": 0.543749988079071,
|
160 |
+
"rewards/chosen": -0.5928763151168823,
|
161 |
+
"rewards/margins": 0.10657763481140137,
|
162 |
+
"rewards/rejected": -0.6994539499282837,
|
163 |
"step": 110
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 0.34,
|
167 |
+
"learning_rate": 2.515350200328027e-06,
|
168 |
+
"logits/chosen": -0.4205436706542969,
|
169 |
+
"logits/rejected": -0.40109872817993164,
|
170 |
+
"logps/chosen": -366.4017028808594,
|
171 |
+
"logps/rejected": -258.0574951171875,
|
172 |
+
"loss": 0.3644,
|
173 |
+
"rewards/accuracies": 0.675000011920929,
|
174 |
+
"rewards/chosen": -0.48554643988609314,
|
175 |
+
"rewards/margins": 0.24580618739128113,
|
176 |
+
"rewards/rejected": -0.7313526272773743,
|
177 |
"step": 120
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.37,
|
181 |
+
"learning_rate": 2.401870246979413e-06,
|
182 |
+
"logits/chosen": -0.36771100759506226,
|
183 |
+
"logits/rejected": -0.31752774119377136,
|
184 |
+
"logps/chosen": -408.0353088378906,
|
185 |
+
"logps/rejected": -279.37872314453125,
|
186 |
+
"loss": 0.3791,
|
187 |
+
"rewards/accuracies": 0.699999988079071,
|
188 |
+
"rewards/chosen": -0.5797132849693298,
|
189 |
+
"rewards/margins": 0.35475510358810425,
|
190 |
+
"rewards/rejected": -0.9344683885574341,
|
191 |
"step": 130
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 0.39,
|
195 |
+
"learning_rate": 2.279650294308645e-06,
|
196 |
+
"logits/chosen": -0.3124179244041443,
|
197 |
+
"logits/rejected": -0.3357269763946533,
|
198 |
+
"logps/chosen": -386.987548828125,
|
199 |
+
"logps/rejected": -315.2652587890625,
|
200 |
+
"loss": 0.3217,
|
201 |
+
"rewards/accuracies": 0.59375,
|
202 |
+
"rewards/chosen": -0.880761981010437,
|
203 |
+
"rewards/margins": 0.18241076171398163,
|
204 |
+
"rewards/rejected": -1.063172698020935,
|
205 |
"step": 140
|
206 |
},
|
207 |
{
|
208 |
+
"epoch": 0.42,
|
209 |
+
"learning_rate": 2.1498747724563957e-06,
|
210 |
+
"logits/chosen": -0.237782284617424,
|
211 |
+
"logits/rejected": -0.2272220402956009,
|
212 |
+
"logps/chosen": -347.40618896484375,
|
213 |
+
"logps/rejected": -309.7053527832031,
|
214 |
+
"loss": 0.32,
|
215 |
+
"rewards/accuracies": 0.6187499761581421,
|
216 |
+
"rewards/chosen": -0.775266706943512,
|
217 |
+
"rewards/margins": 0.20919008553028107,
|
218 |
+
"rewards/rejected": -0.9844567179679871,
|
219 |
"step": 150
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.45,
|
223 |
+
"learning_rate": 2.0138013323728074e-06,
|
224 |
+
"logits/chosen": -0.3776048719882965,
|
225 |
+
"logits/rejected": -0.3391488790512085,
|
226 |
+
"logps/chosen": -430.7017517089844,
|
227 |
+
"logps/rejected": -327.8933410644531,
|
228 |
+
"loss": 0.3115,
|
229 |
+
"rewards/accuracies": 0.668749988079071,
|
230 |
+
"rewards/chosen": -0.8183802366256714,
|
231 |
+
"rewards/margins": 0.30396735668182373,
|
232 |
+
"rewards/rejected": -1.1223475933074951,
|
233 |
"step": 160
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 0.48,
|
237 |
+
"learning_rate": 1.8727486579573409e-06,
|
238 |
+
"logits/chosen": -0.3819672465324402,
|
239 |
+
"logits/rejected": -0.38335323333740234,
|
240 |
+
"logps/chosen": -376.9703369140625,
|
241 |
+
"logps/rejected": -336.7782287597656,
|
242 |
+
"loss": 0.3038,
|
243 |
+
"rewards/accuracies": 0.59375,
|
244 |
+
"rewards/chosen": -0.815502941608429,
|
245 |
+
"rewards/margins": 0.2603687345981598,
|
246 |
+
"rewards/rejected": -1.0758715867996216,
|
247 |
"step": 170
|
248 |
},
|
249 |
{
|
250 |
+
"epoch": 0.51,
|
251 |
+
"learning_rate": 1.7280836867300083e-06,
|
252 |
+
"logits/chosen": -0.5107148885726929,
|
253 |
+
"logits/rejected": -0.5026928186416626,
|
254 |
+
"logps/chosen": -388.6782531738281,
|
255 |
+
"logps/rejected": -321.05328369140625,
|
256 |
+
"loss": 0.3147,
|
257 |
+
"rewards/accuracies": 0.59375,
|
258 |
+
"rewards/chosen": -0.8670403361320496,
|
259 |
+
"rewards/margins": 0.20068030059337616,
|
260 |
+
"rewards/rejected": -1.067720651626587,
|
261 |
"step": 180
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.53,
|
265 |
+
"learning_rate": 1.5812083628781265e-06,
|
266 |
+
"logits/chosen": -0.5208634734153748,
|
267 |
+
"logits/rejected": -0.506948709487915,
|
268 |
+
"logps/chosen": -409.93951416015625,
|
269 |
+
"logps/rejected": -310.84381103515625,
|
270 |
+
"loss": 0.2825,
|
271 |
+
"rewards/accuracies": 0.643750011920929,
|
272 |
+
"rewards/chosen": -0.8959806561470032,
|
273 |
+
"rewards/margins": 0.3938984274864197,
|
274 |
+
"rewards/rejected": -1.2898790836334229,
|
275 |
"step": 190
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 0.56,
|
279 |
+
"learning_rate": 1.433546051054432e-06,
|
280 |
+
"logits/chosen": -0.5745254158973694,
|
281 |
+
"logits/rejected": -0.5329603552818298,
|
282 |
+
"logps/chosen": -414.594970703125,
|
283 |
+
"logps/rejected": -349.5610656738281,
|
284 |
+
"loss": 0.2849,
|
285 |
+
"rewards/accuracies": 0.53125,
|
286 |
+
"rewards/chosen": -1.2510201930999756,
|
287 |
+
"rewards/margins": 0.1971484124660492,
|
288 |
+
"rewards/rejected": -1.4481686353683472,
|
289 |
"step": 200
|
290 |
},
|
291 |
{
|
292 |
+
"epoch": 0.59,
|
293 |
+
"learning_rate": 1.2865277425900725e-06,
|
294 |
+
"logits/chosen": -0.4251164495944977,
|
295 |
+
"logits/rejected": -0.4111138880252838,
|
296 |
+
"logps/chosen": -446.27685546875,
|
297 |
+
"logps/rejected": -339.98321533203125,
|
298 |
+
"loss": 0.2914,
|
299 |
+
"rewards/accuracies": 0.625,
|
300 |
+
"rewards/chosen": -0.8489357829093933,
|
301 |
+
"rewards/margins": 0.3122832179069519,
|
302 |
+
"rewards/rejected": -1.1612190008163452,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
303 |
"step": 210
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 0.62,
|
307 |
+
"learning_rate": 1.141578187797663e-06,
|
308 |
+
"logits/chosen": -0.5450788736343384,
|
309 |
+
"logits/rejected": -0.5059890151023865,
|
310 |
+
"logps/chosen": -417.80908203125,
|
311 |
+
"logps/rejected": -308.05596923828125,
|
312 |
+
"loss": 0.2944,
|
313 |
+
"rewards/accuracies": 0.6187499761581421,
|
314 |
+
"rewards/chosen": -0.8429006338119507,
|
315 |
+
"rewards/margins": 0.24668729305267334,
|
316 |
+
"rewards/rejected": -1.089587926864624,
|
317 |
"step": 220
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 0.65,
|
321 |
+
"learning_rate": 1.0001020887558839e-06,
|
322 |
+
"logits/chosen": -0.47975045442581177,
|
323 |
+
"logits/rejected": -0.4807058274745941,
|
324 |
+
"logps/chosen": -387.7288818359375,
|
325 |
+
"logps/rejected": -303.9996643066406,
|
326 |
+
"loss": 0.292,
|
327 |
+
"rewards/accuracies": 0.6000000238418579,
|
328 |
+
"rewards/chosen": -0.8383504748344421,
|
329 |
+
"rewards/margins": 0.226647287607193,
|
330 |
+
"rewards/rejected": -1.064997911453247,
|
331 |
"step": 230
|
332 |
},
|
333 |
{
|
334 |
+
"epoch": 0.67,
|
335 |
+
"learning_rate": 8.634704863809502e-07,
|
336 |
+
"logits/chosen": -0.5008819103240967,
|
337 |
+
"logits/rejected": -0.46626418828964233,
|
338 |
+
"logps/chosen": -436.1036071777344,
|
339 |
+
"logps/rejected": -323.905029296875,
|
340 |
+
"loss": 0.2845,
|
341 |
+
"rewards/accuracies": 0.6187499761581421,
|
342 |
+
"rewards/chosen": -0.8871256709098816,
|
343 |
+
"rewards/margins": 0.21674367785453796,
|
344 |
+
"rewards/rejected": -1.1038693189620972,
|
345 |
"step": 240
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 0.7,
|
349 |
+
"learning_rate": 7.330074737074666e-07,
|
350 |
+
"logits/chosen": -0.5267480611801147,
|
351 |
+
"logits/rejected": -0.528629720211029,
|
352 |
+
"logps/chosen": -440.72528076171875,
|
353 |
+
"logps/rejected": -327.6587219238281,
|
354 |
+
"loss": 0.2911,
|
355 |
+
"rewards/accuracies": 0.6312500238418579,
|
356 |
+
"rewards/chosen": -0.8738571405410767,
|
357 |
+
"rewards/margins": 0.38728970289230347,
|
358 |
+
"rewards/rejected": -1.2611467838287354,
|
359 |
"step": 250
|
360 |
},
|
361 |
{
|
362 |
+
"epoch": 0.73,
|
363 |
+
"learning_rate": 6.099773641398835e-07,
|
364 |
+
"logits/chosen": -0.5498321056365967,
|
365 |
+
"logits/rejected": -0.5135624408721924,
|
366 |
+
"logps/chosen": -430.474609375,
|
367 |
+
"logps/rejected": -340.8508605957031,
|
368 |
+
"loss": 0.3049,
|
369 |
+
"rewards/accuracies": 0.65625,
|
370 |
+
"rewards/chosen": -0.9756007194519043,
|
371 |
+
"rewards/margins": 0.3439735174179077,
|
372 |
+
"rewards/rejected": -1.319574236869812,
|
373 |
"step": 260
|
374 |
},
|
375 |
{
|
376 |
+
"epoch": 0.76,
|
377 |
+
"learning_rate": 4.955724390266841e-07,
|
378 |
+
"logits/chosen": -0.5001212358474731,
|
379 |
+
"logits/rejected": -0.509675920009613,
|
380 |
+
"logps/chosen": -397.41259765625,
|
381 |
+
"logps/rejected": -336.1043395996094,
|
382 |
+
"loss": 0.2934,
|
383 |
+
"rewards/accuracies": 0.637499988079071,
|
384 |
+
"rewards/chosen": -0.9926079511642456,
|
385 |
+
"rewards/margins": 0.33142027258872986,
|
386 |
+
"rewards/rejected": -1.3240282535552979,
|
387 |
"step": 270
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 0.79,
|
391 |
+
"learning_rate": 3.9090139329520333e-07,
|
392 |
+
"logits/chosen": -0.4506424367427826,
|
393 |
+
"logits/rejected": -0.4490571916103363,
|
394 |
+
"logps/chosen": -455.0115661621094,
|
395 |
+
"logps/rejected": -344.4391784667969,
|
396 |
+
"loss": 0.3013,
|
397 |
+
"rewards/accuracies": 0.637499988079071,
|
398 |
+
"rewards/chosen": -1.018028974533081,
|
399 |
+
"rewards/margins": 0.3979285955429077,
|
400 |
+
"rewards/rejected": -1.4159575700759888,
|
401 |
"step": 280
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 0.81,
|
405 |
+
"learning_rate": 2.9697859112011724e-07,
|
406 |
+
"logits/chosen": -0.47781458497047424,
|
407 |
+
"logits/rejected": -0.4574874937534332,
|
408 |
+
"logps/chosen": -417.3575744628906,
|
409 |
+
"logps/rejected": -349.57037353515625,
|
410 |
+
"loss": 0.3021,
|
411 |
+
"rewards/accuracies": 0.5625,
|
412 |
+
"rewards/chosen": -1.0533437728881836,
|
413 |
+
"rewards/margins": 0.22412605583667755,
|
414 |
+
"rewards/rejected": -1.2774698734283447,
|
415 |
"step": 290
|
416 |
},
|
417 |
{
|
418 |
+
"epoch": 0.84,
|
419 |
+
"learning_rate": 2.1471423574861643e-07,
|
420 |
+
"logits/chosen": -0.49651557207107544,
|
421 |
+
"logits/rejected": -0.46776896715164185,
|
422 |
+
"logps/chosen": -429.81732177734375,
|
423 |
+
"logps/rejected": -326.6114807128906,
|
424 |
+
"loss": 0.2961,
|
425 |
+
"rewards/accuracies": 0.6312500238418579,
|
426 |
+
"rewards/chosen": -0.8363375663757324,
|
427 |
+
"rewards/margins": 0.38524097204208374,
|
428 |
+
"rewards/rejected": -1.2215787172317505,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
429 |
"step": 300
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 0.87,
|
433 |
+
"learning_rate": 1.449055487462102e-07,
|
434 |
+
"logits/chosen": -0.47061723470687866,
|
435 |
+
"logits/rejected": -0.4526177942752838,
|
436 |
+
"logps/chosen": -401.2471618652344,
|
437 |
+
"logps/rejected": -344.2327575683594,
|
438 |
+
"loss": 0.2998,
|
439 |
+
"rewards/accuracies": 0.6499999761581421,
|
440 |
+
"rewards/chosen": -0.8958613276481628,
|
441 |
+
"rewards/margins": 0.30968743562698364,
|
442 |
+
"rewards/rejected": -1.205548644065857,
|
443 |
"step": 310
|
444 |
},
|
445 |
{
|
446 |
+
"epoch": 0.9,
|
447 |
+
"learning_rate": 8.822904414485194e-08,
|
448 |
+
"logits/chosen": -0.4069460928440094,
|
449 |
+
"logits/rejected": -0.413198858499527,
|
450 |
+
"logps/chosen": -376.17364501953125,
|
451 |
+
"logps/rejected": -327.5869140625,
|
452 |
+
"loss": 0.2994,
|
453 |
+
"rewards/accuracies": 0.59375,
|
454 |
+
"rewards/chosen": -0.8381717801094055,
|
455 |
+
"rewards/margins": 0.24178913235664368,
|
456 |
+
"rewards/rejected": -1.079960823059082,
|
457 |
"step": 320
|
458 |
},
|
459 |
{
|
460 |
+
"epoch": 0.93,
|
461 |
+
"learning_rate": 4.523397236438398e-08,
|
462 |
+
"logits/chosen": -0.5108148455619812,
|
463 |
+
"logits/rejected": -0.49169641733169556,
|
464 |
+
"logps/chosen": -478.1392517089844,
|
465 |
+
"logps/rejected": -382.9190979003906,
|
466 |
+
"loss": 0.2897,
|
467 |
+
"rewards/accuracies": 0.668749988079071,
|
468 |
+
"rewards/chosen": -0.9290350079536438,
|
469 |
+
"rewards/margins": 0.41925033926963806,
|
470 |
+
"rewards/rejected": -1.3482853174209595,
|
471 |
"step": 330
|
472 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
473 |
{
|
474 |
"epoch": 0.96,
|
475 |
+
"learning_rate": 1.6336997442095825e-08,
|
476 |
+
"logits/chosen": -0.4700957238674164,
|
477 |
+
"logits/rejected": -0.43701282143592834,
|
478 |
+
"logps/chosen": -426.40631103515625,
|
479 |
+
"logps/rejected": -343.24334716796875,
|
480 |
+
"loss": 0.3046,
|
481 |
+
"rewards/accuracies": 0.6187499761581421,
|
482 |
+
"rewards/chosen": -0.9494872093200684,
|
483 |
+
"rewards/margins": 0.334994375705719,
|
484 |
+
"rewards/rejected": -1.2844815254211426,
|
485 |
+
"step": 340
|
486 |
},
|
487 |
{
|
488 |
"epoch": 0.98,
|
489 |
+
"learning_rate": 1.8181591531977737e-09,
|
490 |
+
"logits/chosen": -0.5112472176551819,
|
491 |
+
"logits/rejected": -0.5403722524642944,
|
492 |
+
"logps/chosen": -407.7789611816406,
|
493 |
+
"logps/rejected": -344.8587951660156,
|
494 |
+
"loss": 0.3017,
|
495 |
+
"rewards/accuracies": 0.675000011920929,
|
496 |
+
"rewards/chosen": -0.9037674069404602,
|
497 |
+
"rewards/margins": 0.4302978515625,
|
498 |
+
"rewards/rejected": -1.334065318107605,
|
499 |
+
"step": 350
|
500 |
},
|
501 |
{
|
502 |
"epoch": 1.0,
|
503 |
+
"step": 355,
|
504 |
"total_flos": 0.0,
|
505 |
+
"train_loss": 0.3547657697973117,
|
506 |
+
"train_runtime": 5270.9361,
|
507 |
+
"train_samples_per_second": 8.641,
|
508 |
+
"train_steps_per_second": 0.067
|
509 |
}
|
510 |
],
|
511 |
"logging_steps": 10,
|
512 |
+
"max_steps": 355,
|
513 |
"num_train_epochs": 1,
|
514 |
+
"save_steps": 10000,
|
515 |
"total_flos": 0.0,
|
516 |
"trial_name": null,
|
517 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:773f035981526cb91d8da745ac00a062e7cff067bade23d7346497d28717689d
|
3 |
+
size 6648
|