Model save
Browse files- README.md +19 -19
- all_results.json +5 -4
- config.json +1 -1
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/May28_06-41-22_n136-112-146/events.out.tfevents.1716850671.n136-112-146.393581.0 +2 -2
- tokenizer.json +1 -0
- train_results.json +5 -4
- trainer_state.json +518 -518
- training_args.bin +2 -2
README.md
CHANGED
@@ -13,17 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# zephyr-7b-dpo-full
|
15 |
|
16 |
-
This model was trained from scratch on
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss:
|
19 |
-
- Rewards/chosen:
|
20 |
-
- Rewards/rejected:
|
21 |
-
- Rewards/accuracies: 0.
|
22 |
-
- Rewards/margins:
|
23 |
-
- Logps/rejected: -
|
24 |
-
- Logps/chosen: -
|
25 |
-
- Logits/rejected: -
|
26 |
-
- Logits/chosen: -
|
27 |
|
28 |
## Model description
|
29 |
|
@@ -42,7 +42,7 @@ More information needed
|
|
42 |
### Training hyperparameters
|
43 |
|
44 |
The following hyperparameters were used during training:
|
45 |
-
- learning_rate:
|
46 |
- train_batch_size: 8
|
47 |
- eval_batch_size: 8
|
48 |
- seed: 42
|
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
|
|
58 |
|
59 |
### Training results
|
60 |
|
61 |
-
| Training Loss | Epoch
|
62 |
-
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
|
67 |
|
68 |
### Framework versions
|
69 |
|
70 |
-
- Transformers 4.
|
71 |
- Pytorch 2.1.2+cu118
|
72 |
-
- Datasets 2.
|
73 |
-
- Tokenizers 0.
|
|
|
13 |
|
14 |
# zephyr-7b-dpo-full
|
15 |
|
16 |
+
This model was trained from scratch on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.7740
|
19 |
+
- Rewards/chosen: -1.9500
|
20 |
+
- Rewards/rejected: -2.1880
|
21 |
+
- Rewards/accuracies: 0.5664
|
22 |
+
- Rewards/margins: 0.2381
|
23 |
+
- Logps/rejected: -737.1887
|
24 |
+
- Logps/chosen: -585.4705
|
25 |
+
- Logits/rejected: -5.6032
|
26 |
+
- Logits/chosen: -5.3452
|
27 |
|
28 |
## Model description
|
29 |
|
|
|
42 |
### Training hyperparameters
|
43 |
|
44 |
The following hyperparameters were used during training:
|
45 |
+
- learning_rate: 1e-07
|
46 |
- train_batch_size: 8
|
47 |
- eval_batch_size: 8
|
48 |
- seed: 42
|
|
|
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 |
+
| 0.4622 | 0.2558 | 100 | 0.7195 | -0.4883 | -0.5174 | 0.4883 | 0.0292 | -570.1285 | -439.2997 | -5.0069 | -4.7883 |
|
64 |
+
| 0.3618 | 0.5115 | 200 | 0.7717 | -1.6081 | -1.7766 | 0.5703 | 0.1685 | -696.0472 | -551.2876 | -5.4044 | -5.1462 |
|
65 |
+
| 0.3249 | 0.7673 | 300 | 0.7740 | -1.9500 | -2.1880 | 0.5664 | 0.2381 | -737.1887 | -585.4705 | -5.6032 | -5.3452 |
|
66 |
|
67 |
|
68 |
### Framework versions
|
69 |
|
70 |
+
- Transformers 4.40.2
|
71 |
- Pytorch 2.1.2+cu118
|
72 |
+
- Datasets 2.19.1
|
73 |
+
- Tokenizers 0.19.1
|
all_results.json
CHANGED
@@ -1,8 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"
|
4 |
-
"
|
|
|
5 |
"train_samples": 50000,
|
6 |
-
"train_samples_per_second": 8.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.4100414538932273,
|
5 |
+
"train_runtime": 6205.0725,
|
6 |
"train_samples": 50000,
|
7 |
+
"train_samples_per_second": 8.058,
|
8 |
+
"train_steps_per_second": 0.063
|
9 |
}
|
config.json
CHANGED
@@ -20,7 +20,7 @@
|
|
20 |
"sliding_window": 4096,
|
21 |
"tie_word_embeddings": false,
|
22 |
"torch_dtype": "bfloat16",
|
23 |
-
"transformers_version": "4.
|
24 |
"use_cache": false,
|
25 |
"vocab_size": 32002
|
26 |
}
|
|
|
20 |
"sliding_window": 4096,
|
21 |
"tie_word_embeddings": false,
|
22 |
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.40.2",
|
24 |
"use_cache": false,
|
25 |
"vocab_size": 32002
|
26 |
}
|
generation_config.json
CHANGED
@@ -2,5 +2,5 @@
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 32000,
|
5 |
-
"transformers_version": "4.
|
6 |
}
|
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 32000,
|
5 |
+
"transformers_version": "4.40.2"
|
6 |
}
|
model-00001-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4943178720
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20c9414c680bd55f51253e0e4dfdbacc85dff3cfb76ed2d4bd550f1830a171b4
|
3 |
size 4943178720
|
model-00002-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4999819336
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:474dd254cc45ede807d9f0a8b68dfb008d4ddc55d3a0ff14db78753609a61d0c
|
3 |
size 4999819336
|
model-00003-of-00003.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4540532728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ad09cd99e0738430a25a2fb1677e46fb1ea87cbd34429e65175e901c8d92668
|
3 |
size 4540532728
|
runs/May28_06-41-22_n136-112-146/events.out.tfevents.1716850671.n136-112-146.393581.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a1e7691a040571f5ad20207152ba3f51f3e12251eb1473b2611db1643b0afb1
|
3 |
+
size 34893
|
tokenizer.json
CHANGED
@@ -152,6 +152,7 @@
|
|
152 |
"end_of_word_suffix": null,
|
153 |
"fuse_unk": true,
|
154 |
"byte_fallback": true,
|
|
|
155 |
"vocab": {
|
156 |
"<unk>": 0,
|
157 |
"<s>": 1,
|
|
|
152 |
"end_of_word_suffix": null,
|
153 |
"fuse_unk": true,
|
154 |
"byte_fallback": true,
|
155 |
+
"ignore_merges": false,
|
156 |
"vocab": {
|
157 |
"<unk>": 0,
|
158 |
"<s>": 1,
|
train_results.json
CHANGED
@@ -1,8 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"
|
4 |
-
"
|
|
|
5 |
"train_samples": 50000,
|
6 |
-
"train_samples_per_second": 8.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.4100414538932273,
|
5 |
+
"train_runtime": 6205.0725,
|
6 |
"train_samples": 50000,
|
7 |
+
"train_samples_per_second": 8.058,
|
8 |
+
"train_steps_per_second": 0.063
|
9 |
}
|
trainer_state.json
CHANGED
@@ -9,14 +9,14 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"logits/chosen": -4.
|
16 |
-
"logits/rejected": -4.
|
17 |
-
"logps/chosen": -
|
18 |
-
"logps/rejected": -207.
|
19 |
-
"loss": 0.
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
@@ -24,646 +24,646 @@
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 0.
|
28 |
-
"grad_norm":
|
29 |
-
"learning_rate":
|
30 |
-
"logits/chosen": -4.
|
31 |
-
"logits/rejected": -4.
|
32 |
-
"logps/chosen": -
|
33 |
-
"logps/rejected": -
|
34 |
-
"loss": 0.
|
35 |
"rewards/accuracies": 0.4791666567325592,
|
36 |
-
"rewards/chosen":
|
37 |
-
"rewards/margins": 0.
|
38 |
-
"rewards/rejected": -0.
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"grad_norm":
|
44 |
-
"learning_rate":
|
45 |
-
"logits/chosen": -4.
|
46 |
-
"logits/rejected": -4.
|
47 |
-
"logps/chosen": -
|
48 |
-
"logps/rejected": -
|
49 |
-
"loss": 0.
|
50 |
-
"rewards/accuracies": 0.
|
51 |
-
"rewards/chosen": 0.
|
52 |
-
"rewards/margins": 0.
|
53 |
-
"rewards/rejected": -0.
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
-
"epoch": 0.
|
58 |
-
"grad_norm":
|
59 |
-
"learning_rate":
|
60 |
-
"logits/chosen": -4.
|
61 |
-
"logits/rejected": -4.
|
62 |
-
"logps/chosen": -
|
63 |
-
"logps/rejected": -
|
64 |
-
"loss": 0.
|
65 |
-
"rewards/accuracies": 0.
|
66 |
-
"rewards/chosen": 0.
|
67 |
-
"rewards/margins": 0.
|
68 |
-
"rewards/rejected": -0.
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"grad_norm":
|
74 |
-
"learning_rate":
|
75 |
-
"logits/chosen": -4.
|
76 |
-
"logits/rejected": -4.
|
77 |
-
"logps/chosen": -
|
78 |
-
"logps/rejected": -
|
79 |
-
"loss": 0.
|
80 |
-
"rewards/accuracies": 0.
|
81 |
-
"rewards/chosen": 0.
|
82 |
-
"rewards/margins": 0.
|
83 |
-
"rewards/rejected": -0.
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
-
"epoch": 0.
|
88 |
-
"grad_norm":
|
89 |
-
"learning_rate":
|
90 |
-
"logits/chosen": -4.
|
91 |
-
"logits/rejected": -4.
|
92 |
-
"logps/chosen": -
|
93 |
-
"logps/rejected": -
|
94 |
-
"loss": 0.
|
95 |
-
"rewards/accuracies": 0.
|
96 |
-
"rewards/chosen":
|
97 |
-
"rewards/margins":
|
98 |
-
"rewards/rejected": -0.
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"grad_norm":
|
104 |
-
"learning_rate":
|
105 |
-
"logits/chosen": -4.
|
106 |
-
"logits/rejected": -4.
|
107 |
-
"logps/chosen": -
|
108 |
-
"logps/rejected": -
|
109 |
-
"loss": 0.
|
110 |
-
"rewards/accuracies": 0.
|
111 |
-
"rewards/chosen":
|
112 |
-
"rewards/margins":
|
113 |
-
"rewards/rejected": -0.
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"logits/chosen": -4.
|
121 |
-
"logits/rejected": -4.
|
122 |
-
"logps/chosen": -
|
123 |
-
"logps/rejected": -
|
124 |
-
"loss": 0.
|
125 |
-
"rewards/accuracies": 0.
|
126 |
-
"rewards/chosen":
|
127 |
-
"rewards/margins":
|
128 |
-
"rewards/rejected": -0.
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"grad_norm":
|
134 |
-
"learning_rate":
|
135 |
-
"logits/chosen": -4.
|
136 |
-
"logits/rejected": -4.
|
137 |
-
"logps/chosen": -
|
138 |
-
"logps/rejected": -
|
139 |
-
"loss": 0.
|
140 |
-
"rewards/accuracies": 0.
|
141 |
-
"rewards/chosen":
|
142 |
-
"rewards/margins":
|
143 |
-
"rewards/rejected": -0.
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"learning_rate":
|
150 |
-
"logits/chosen": -4.
|
151 |
-
"logits/rejected": -
|
152 |
-
"logps/chosen": -
|
153 |
-
"logps/rejected": -
|
154 |
-
"loss": 0.
|
155 |
-
"rewards/accuracies": 0.
|
156 |
-
"rewards/chosen":
|
157 |
-
"rewards/margins":
|
158 |
-
"rewards/rejected": -0.
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"grad_norm":
|
164 |
-
"learning_rate":
|
165 |
-
"logits/chosen": -4.
|
166 |
-
"logits/rejected": -4.
|
167 |
-
"logps/chosen": -
|
168 |
-
"logps/rejected": -
|
169 |
-
"loss": 0.
|
170 |
-
"rewards/accuracies": 0.
|
171 |
-
"rewards/chosen":
|
172 |
-
"rewards/margins":
|
173 |
-
"rewards/rejected": -
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
-
"epoch": 0.
|
178 |
-
"eval_logits/chosen": -4.
|
179 |
-
"eval_logits/rejected": -
|
180 |
-
"eval_logps/chosen": -
|
181 |
-
"eval_logps/rejected": -
|
182 |
-
"eval_loss":
|
183 |
-
"eval_rewards/accuracies": 0.
|
184 |
-
"eval_rewards/chosen": 0.
|
185 |
-
"eval_rewards/margins":
|
186 |
-
"eval_rewards/rejected":
|
187 |
-
"eval_runtime":
|
188 |
-
"eval_samples_per_second": 20.
|
189 |
-
"eval_steps_per_second": 0.
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
-
"epoch": 0.
|
194 |
-
"grad_norm":
|
195 |
-
"learning_rate":
|
196 |
-
"logits/chosen": -4.
|
197 |
-
"logits/rejected": -
|
198 |
-
"logps/chosen": -
|
199 |
-
"logps/rejected": -
|
200 |
-
"loss": 0.
|
201 |
-
"rewards/accuracies": 0.
|
202 |
-
"rewards/chosen":
|
203 |
-
"rewards/margins":
|
204 |
-
"rewards/rejected": -
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
-
"epoch": 0.
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate":
|
211 |
-
"logits/chosen": -4.
|
212 |
-
"logits/rejected": -
|
213 |
-
"logps/chosen": -
|
214 |
-
"logps/rejected": -
|
215 |
-
"loss": 0.
|
216 |
-
"rewards/accuracies": 0.
|
217 |
-
"rewards/chosen":
|
218 |
-
"rewards/margins":
|
219 |
-
"rewards/rejected": -
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
-
"epoch": 0.
|
224 |
-
"grad_norm":
|
225 |
-
"learning_rate":
|
226 |
-
"logits/chosen": -4.
|
227 |
-
"logits/rejected": -
|
228 |
-
"logps/chosen": -
|
229 |
-
"logps/rejected": -
|
230 |
-
"loss": 0.
|
231 |
-
"rewards/accuracies": 0.
|
232 |
-
"rewards/chosen":
|
233 |
-
"rewards/margins":
|
234 |
-
"rewards/rejected": -1.
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 0.
|
239 |
-
"grad_norm":
|
240 |
-
"learning_rate":
|
241 |
-
"logits/chosen": -4.
|
242 |
-
"logits/rejected": -
|
243 |
-
"logps/chosen": -
|
244 |
-
"logps/rejected": -
|
245 |
-
"loss": 0.
|
246 |
-
"rewards/accuracies": 0.
|
247 |
-
"rewards/chosen":
|
248 |
-
"rewards/margins":
|
249 |
-
"rewards/rejected": -1.
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
-
"epoch": 0.
|
254 |
-
"grad_norm":
|
255 |
-
"learning_rate":
|
256 |
-
"logits/chosen": -
|
257 |
-
"logits/rejected": -
|
258 |
-
"logps/chosen": -
|
259 |
-
"logps/rejected": -
|
260 |
-
"loss": 0.
|
261 |
-
"rewards/accuracies": 0.
|
262 |
-
"rewards/chosen":
|
263 |
-
"rewards/margins":
|
264 |
-
"rewards/rejected": -1.
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
-
"epoch": 0.
|
269 |
-
"grad_norm":
|
270 |
-
"learning_rate":
|
271 |
-
"logits/chosen": -
|
272 |
-
"logits/rejected": -
|
273 |
-
"logps/chosen": -
|
274 |
-
"logps/rejected": -
|
275 |
-
"loss": 0.
|
276 |
-
"rewards/accuracies": 0.
|
277 |
-
"rewards/chosen":
|
278 |
-
"rewards/margins":
|
279 |
-
"rewards/rejected": -1.
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
-
"epoch": 0.
|
284 |
-
"grad_norm":
|
285 |
-
"learning_rate":
|
286 |
-
"logits/chosen": -
|
287 |
-
"logits/rejected": -
|
288 |
-
"logps/chosen": -
|
289 |
-
"logps/rejected": -
|
290 |
-
"loss": 0.
|
291 |
-
"rewards/accuracies": 0.
|
292 |
-
"rewards/chosen":
|
293 |
-
"rewards/margins":
|
294 |
-
"rewards/rejected": -1.
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
-
"epoch": 0.
|
299 |
-
"grad_norm":
|
300 |
-
"learning_rate":
|
301 |
-
"logits/chosen": -
|
302 |
-
"logits/rejected": -
|
303 |
-
"logps/chosen": -
|
304 |
-
"logps/rejected": -
|
305 |
-
"loss": 0.
|
306 |
-
"rewards/accuracies": 0.
|
307 |
-
"rewards/chosen":
|
308 |
-
"rewards/margins":
|
309 |
-
"rewards/rejected": -
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
-
"epoch": 0.
|
314 |
-
"grad_norm":
|
315 |
-
"learning_rate":
|
316 |
-
"logits/chosen": -
|
317 |
-
"logits/rejected": -
|
318 |
-
"logps/chosen": -
|
319 |
-
"logps/rejected": -
|
320 |
-
"loss": 0.
|
321 |
-
"rewards/accuracies": 0.
|
322 |
-
"rewards/chosen":
|
323 |
-
"rewards/margins":
|
324 |
-
"rewards/rejected": -
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
-
"epoch": 0.
|
329 |
-
"grad_norm":
|
330 |
-
"learning_rate":
|
331 |
-
"logits/chosen": -
|
332 |
-
"logits/rejected": -
|
333 |
-
"logps/chosen": -
|
334 |
-
"logps/rejected": -
|
335 |
-
"loss": 0.
|
336 |
-
"rewards/accuracies": 0.
|
337 |
-
"rewards/chosen":
|
338 |
-
"rewards/margins":
|
339 |
-
"rewards/rejected": -
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
-
"epoch": 0.
|
344 |
-
"eval_logits/chosen": -
|
345 |
-
"eval_logits/rejected": -
|
346 |
-
"eval_logps/chosen": -
|
347 |
-
"eval_logps/rejected": -
|
348 |
-
"eval_loss":
|
349 |
-
"eval_rewards/accuracies": 0.
|
350 |
-
"eval_rewards/chosen":
|
351 |
-
"eval_rewards/margins":
|
352 |
-
"eval_rewards/rejected": 1.
|
353 |
-
"eval_runtime":
|
354 |
-
"eval_samples_per_second": 20.
|
355 |
-
"eval_steps_per_second": 0.
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
-
"epoch": 0.
|
360 |
-
"grad_norm":
|
361 |
-
"learning_rate":
|
362 |
-
"logits/chosen": -
|
363 |
-
"logits/rejected": -
|
364 |
-
"logps/chosen": -
|
365 |
-
"logps/rejected": -
|
366 |
-
"loss": 0.
|
367 |
-
"rewards/accuracies": 0.
|
368 |
-
"rewards/chosen":
|
369 |
-
"rewards/margins":
|
370 |
-
"rewards/rejected": -
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
-
"epoch": 0.
|
375 |
-
"grad_norm":
|
376 |
-
"learning_rate":
|
377 |
-
"logits/chosen": -
|
378 |
-
"logits/rejected": -
|
379 |
-
"logps/chosen": -
|
380 |
-
"logps/rejected": -
|
381 |
-
"loss": 0.
|
382 |
-
"rewards/accuracies": 0.
|
383 |
-
"rewards/chosen":
|
384 |
-
"rewards/margins":
|
385 |
-
"rewards/rejected": -
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
-
"epoch": 0.
|
390 |
-
"grad_norm":
|
391 |
-
"learning_rate":
|
392 |
-
"logits/chosen": -
|
393 |
-
"logits/rejected": -
|
394 |
-
"logps/chosen": -
|
395 |
-
"logps/rejected": -
|
396 |
-
"loss": 0.
|
397 |
-
"rewards/accuracies": 0.
|
398 |
-
"rewards/chosen":
|
399 |
-
"rewards/margins":
|
400 |
-
"rewards/rejected": -
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
-
"epoch": 0.
|
405 |
-
"grad_norm":
|
406 |
-
"learning_rate":
|
407 |
-
"logits/chosen": -
|
408 |
-
"logits/rejected": -
|
409 |
-
"logps/chosen": -
|
410 |
-
"logps/rejected": -
|
411 |
-
"loss": 0.
|
412 |
-
"rewards/accuracies": 0.
|
413 |
-
"rewards/chosen":
|
414 |
-
"rewards/margins":
|
415 |
-
"rewards/rejected": -
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
-
"epoch": 0.
|
420 |
-
"grad_norm":
|
421 |
-
"learning_rate":
|
422 |
-
"logits/chosen": -
|
423 |
-
"logits/rejected": -
|
424 |
-
"logps/chosen": -
|
425 |
-
"logps/rejected": -
|
426 |
-
"loss": 0.
|
427 |
-
"rewards/accuracies": 0.
|
428 |
-
"rewards/chosen":
|
429 |
-
"rewards/margins":
|
430 |
-
"rewards/rejected": -
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
-
"epoch": 0.
|
435 |
-
"grad_norm":
|
436 |
-
"learning_rate":
|
437 |
-
"logits/chosen": -
|
438 |
-
"logits/rejected": -
|
439 |
-
"logps/chosen": -
|
440 |
-
"logps/rejected": -
|
441 |
-
"loss": 0.
|
442 |
-
"rewards/accuracies": 0.
|
443 |
-
"rewards/chosen":
|
444 |
-
"rewards/margins":
|
445 |
-
"rewards/rejected": -2.
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 0.
|
450 |
-
"grad_norm":
|
451 |
-
"learning_rate":
|
452 |
-
"logits/chosen": -
|
453 |
-
"logits/rejected": -
|
454 |
-
"logps/chosen": -
|
455 |
-
"logps/rejected": -
|
456 |
-
"loss": 0.
|
457 |
-
"rewards/accuracies": 0.
|
458 |
-
"rewards/chosen":
|
459 |
-
"rewards/margins":
|
460 |
-
"rewards/rejected": -
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
-
"epoch": 0.
|
465 |
-
"grad_norm":
|
466 |
-
"learning_rate":
|
467 |
-
"logits/chosen": -
|
468 |
-
"logits/rejected": -
|
469 |
-
"logps/chosen": -
|
470 |
-
"logps/rejected": -
|
471 |
-
"loss": 0.
|
472 |
-
"rewards/accuracies": 0.
|
473 |
-
"rewards/chosen":
|
474 |
-
"rewards/margins":
|
475 |
-
"rewards/rejected": -
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
-
"epoch": 0.
|
480 |
-
"grad_norm":
|
481 |
-
"learning_rate":
|
482 |
-
"logits/chosen": -
|
483 |
-
"logits/rejected": -
|
484 |
-
"logps/chosen": -
|
485 |
-
"logps/rejected": -
|
486 |
-
"loss": 0.
|
487 |
-
"rewards/accuracies": 0.
|
488 |
-
"rewards/chosen":
|
489 |
-
"rewards/margins":
|
490 |
-
"rewards/rejected": -
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 0.
|
495 |
-
"grad_norm":
|
496 |
-
"learning_rate":
|
497 |
-
"logits/chosen": -
|
498 |
-
"logits/rejected": -
|
499 |
-
"logps/chosen": -
|
500 |
-
"logps/rejected": -
|
501 |
-
"loss": 0.
|
502 |
-
"rewards/accuracies": 0.
|
503 |
-
"rewards/chosen":
|
504 |
-
"rewards/margins":
|
505 |
-
"rewards/rejected": -
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
-
"epoch": 0.
|
510 |
-
"eval_logits/chosen": -
|
511 |
-
"eval_logits/rejected": -
|
512 |
-
"eval_logps/chosen": -
|
513 |
-
"eval_logps/rejected": -
|
514 |
-
"eval_loss":
|
515 |
-
"eval_rewards/accuracies": 0.
|
516 |
-
"eval_rewards/chosen":
|
517 |
-
"eval_rewards/margins":
|
518 |
-
"eval_rewards/rejected":
|
519 |
-
"eval_runtime": 98.
|
520 |
-
"eval_samples_per_second": 20.
|
521 |
-
"eval_steps_per_second": 0.
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
-
"epoch": 0.
|
526 |
-
"grad_norm":
|
527 |
-
"learning_rate":
|
528 |
-
"logits/chosen": -
|
529 |
-
"logits/rejected": -
|
530 |
-
"logps/chosen": -
|
531 |
-
"logps/rejected": -
|
532 |
-
"loss": 0.
|
533 |
-
"rewards/accuracies": 0.
|
534 |
-
"rewards/chosen":
|
535 |
-
"rewards/margins":
|
536 |
-
"rewards/rejected": -
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
-
"epoch": 0.
|
541 |
-
"grad_norm":
|
542 |
-
"learning_rate":
|
543 |
-
"logits/chosen": -
|
544 |
-
"logits/rejected": -
|
545 |
-
"logps/chosen": -
|
546 |
-
"logps/rejected": -
|
547 |
-
"loss": 0.
|
548 |
-
"rewards/accuracies": 0.
|
549 |
-
"rewards/chosen":
|
550 |
-
"rewards/margins":
|
551 |
-
"rewards/rejected": -
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
-
"epoch": 0.
|
556 |
-
"grad_norm":
|
557 |
-
"learning_rate":
|
558 |
-
"logits/chosen": -
|
559 |
-
"logits/rejected": -
|
560 |
-
"logps/chosen": -
|
561 |
-
"logps/rejected": -
|
562 |
-
"loss": 0.
|
563 |
-
"rewards/accuracies": 0.
|
564 |
-
"rewards/chosen":
|
565 |
-
"rewards/margins":
|
566 |
-
"rewards/rejected": -
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
-
"epoch": 0.
|
571 |
-
"grad_norm":
|
572 |
-
"learning_rate":
|
573 |
-
"logits/chosen": -
|
574 |
-
"logits/rejected": -
|
575 |
-
"logps/chosen": -
|
576 |
-
"logps/rejected": -
|
577 |
-
"loss": 0.
|
578 |
-
"rewards/accuracies": 0.
|
579 |
-
"rewards/chosen":
|
580 |
-
"rewards/margins":
|
581 |
-
"rewards/rejected": -
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
-
"epoch": 0.
|
586 |
-
"grad_norm":
|
587 |
-
"learning_rate":
|
588 |
-
"logits/chosen": -
|
589 |
-
"logits/rejected": -
|
590 |
-
"logps/chosen": -
|
591 |
-
"logps/rejected": -
|
592 |
-
"loss": 0.
|
593 |
-
"rewards/accuracies": 0.
|
594 |
-
"rewards/chosen":
|
595 |
-
"rewards/margins":
|
596 |
-
"rewards/rejected": -
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
-
"epoch": 0.
|
601 |
-
"grad_norm":
|
602 |
-
"learning_rate":
|
603 |
-
"logits/chosen": -
|
604 |
-
"logits/rejected": -
|
605 |
-
"logps/chosen": -
|
606 |
-
"logps/rejected": -
|
607 |
-
"loss": 0.
|
608 |
-
"rewards/accuracies": 0.
|
609 |
-
"rewards/chosen":
|
610 |
-
"rewards/margins":
|
611 |
-
"rewards/rejected": -
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
-
"epoch": 0.
|
616 |
-
"grad_norm":
|
617 |
-
"learning_rate":
|
618 |
-
"logits/chosen": -
|
619 |
-
"logits/rejected": -
|
620 |
-
"logps/chosen": -
|
621 |
-
"logps/rejected": -
|
622 |
-
"loss": 0.
|
623 |
-
"rewards/accuracies": 0.
|
624 |
-
"rewards/chosen":
|
625 |
-
"rewards/margins":
|
626 |
-
"rewards/rejected": -
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
-
"epoch": 0.
|
631 |
-
"grad_norm":
|
632 |
-
"learning_rate":
|
633 |
-
"logits/chosen": -
|
634 |
-
"logits/rejected": -
|
635 |
-
"logps/chosen": -
|
636 |
-
"logps/rejected": -
|
637 |
-
"loss": 0.
|
638 |
-
"rewards/accuracies": 0.
|
639 |
-
"rewards/chosen":
|
640 |
-
"rewards/margins":
|
641 |
-
"rewards/rejected": -
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
-
"epoch":
|
646 |
-
"grad_norm":
|
647 |
-
"learning_rate":
|
648 |
-
"logits/chosen": -
|
649 |
-
"logits/rejected": -
|
650 |
-
"logps/chosen": -
|
651 |
-
"logps/rejected": -
|
652 |
-
"loss": 0.
|
653 |
-
"rewards/accuracies": 0.
|
654 |
-
"rewards/chosen":
|
655 |
-
"rewards/margins":
|
656 |
-
"rewards/rejected": -
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
"epoch": 1.0,
|
661 |
"step": 391,
|
662 |
"total_flos": 0.0,
|
663 |
-
"train_loss": 0.
|
664 |
-
"train_runtime":
|
665 |
-
"train_samples_per_second": 8.
|
666 |
-
"train_steps_per_second": 0.
|
667 |
}
|
668 |
],
|
669 |
"logging_steps": 10,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0025575447570332483,
|
13 |
+
"grad_norm": 39.26094609355056,
|
14 |
+
"learning_rate": 2.5e-09,
|
15 |
+
"logits/chosen": -4.633832931518555,
|
16 |
+
"logits/rejected": -4.853580951690674,
|
17 |
+
"logps/chosen": -233.06472778320312,
|
18 |
+
"logps/rejected": -207.33529663085938,
|
19 |
+
"loss": 0.6931,
|
20 |
"rewards/accuracies": 0.0,
|
21 |
"rewards/chosen": 0.0,
|
22 |
"rewards/margins": 0.0,
|
|
|
24 |
"step": 1
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 0.02557544757033248,
|
28 |
+
"grad_norm": 36.68935602174721,
|
29 |
+
"learning_rate": 2.5e-08,
|
30 |
+
"logits/chosen": -4.338743686676025,
|
31 |
+
"logits/rejected": -4.649880886077881,
|
32 |
+
"logps/chosen": -262.4483642578125,
|
33 |
+
"logps/rejected": -221.99293518066406,
|
34 |
+
"loss": 0.693,
|
35 |
"rewards/accuracies": 0.4791666567325592,
|
36 |
+
"rewards/chosen": 0.00011811345757450908,
|
37 |
+
"rewards/margins": 0.0013624767307192087,
|
38 |
+
"rewards/rejected": -0.0012443631421774626,
|
39 |
"step": 10
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.05115089514066496,
|
43 |
+
"grad_norm": 39.59560101486009,
|
44 |
+
"learning_rate": 5e-08,
|
45 |
+
"logits/chosen": -4.518132209777832,
|
46 |
+
"logits/rejected": -4.7573723793029785,
|
47 |
+
"logps/chosen": -265.6820373535156,
|
48 |
+
"logps/rejected": -224.56332397460938,
|
49 |
+
"loss": 0.6925,
|
50 |
+
"rewards/accuracies": 0.5687500238418579,
|
51 |
+
"rewards/chosen": 0.0007334979018196464,
|
52 |
+
"rewards/margins": 0.0019747079350054264,
|
53 |
+
"rewards/rejected": -0.00124121003318578,
|
54 |
"step": 20
|
55 |
},
|
56 |
{
|
57 |
+
"epoch": 0.07672634271099744,
|
58 |
+
"grad_norm": 42.07292039672945,
|
59 |
+
"learning_rate": 7.5e-08,
|
60 |
+
"logits/chosen": -4.586892127990723,
|
61 |
+
"logits/rejected": -4.772247314453125,
|
62 |
+
"logps/chosen": -254.6095428466797,
|
63 |
+
"logps/rejected": -221.1687469482422,
|
64 |
+
"loss": 0.6881,
|
65 |
+
"rewards/accuracies": 0.7437499761581421,
|
66 |
+
"rewards/chosen": 0.004800780676305294,
|
67 |
+
"rewards/margins": 0.01116220187395811,
|
68 |
+
"rewards/rejected": -0.006361422594636679,
|
69 |
"step": 30
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.10230179028132992,
|
73 |
+
"grad_norm": 39.99985818605015,
|
74 |
+
"learning_rate": 1e-07,
|
75 |
+
"logits/chosen": -4.643338680267334,
|
76 |
+
"logits/rejected": -4.734442234039307,
|
77 |
+
"logps/chosen": -250.8112030029297,
|
78 |
+
"logps/rejected": -227.5035858154297,
|
79 |
+
"loss": 0.674,
|
80 |
+
"rewards/accuracies": 0.8187500238418579,
|
81 |
+
"rewards/chosen": 0.015374640934169292,
|
82 |
+
"rewards/margins": 0.04068901389837265,
|
83 |
+
"rewards/rejected": -0.025314366444945335,
|
84 |
"step": 40
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 0.1278772378516624,
|
88 |
+
"grad_norm": 39.42008970309411,
|
89 |
+
"learning_rate": 9.979985922607475e-08,
|
90 |
+
"logits/chosen": -4.586745262145996,
|
91 |
+
"logits/rejected": -4.8019514083862305,
|
92 |
+
"logps/chosen": -266.86578369140625,
|
93 |
+
"logps/rejected": -236.32333374023438,
|
94 |
+
"loss": 0.6472,
|
95 |
+
"rewards/accuracies": 0.8125,
|
96 |
+
"rewards/chosen": 0.025944575667381287,
|
97 |
+
"rewards/margins": 0.09520022571086884,
|
98 |
+
"rewards/rejected": -0.06925566494464874,
|
99 |
"step": 50
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.1534526854219949,
|
103 |
+
"grad_norm": 38.00390022566866,
|
104 |
+
"learning_rate": 9.92010391574745e-08,
|
105 |
+
"logits/chosen": -4.757911205291748,
|
106 |
+
"logits/rejected": -4.887364387512207,
|
107 |
+
"logps/chosen": -239.2329559326172,
|
108 |
+
"logps/rejected": -240.6675262451172,
|
109 |
+
"loss": 0.5963,
|
110 |
+
"rewards/accuracies": 0.793749988079071,
|
111 |
+
"rewards/chosen": -0.0015811750199645758,
|
112 |
+
"rewards/margins": 0.20014917850494385,
|
113 |
+
"rewards/rejected": -0.20173034071922302,
|
114 |
"step": 60
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.17902813299232737,
|
118 |
+
"grad_norm": 40.739477874841256,
|
119 |
+
"learning_rate": 9.820833372667812e-08,
|
120 |
+
"logits/chosen": -4.700837135314941,
|
121 |
+
"logits/rejected": -4.890389442443848,
|
122 |
+
"logps/chosen": -262.3451843261719,
|
123 |
+
"logps/rejected": -265.8101501464844,
|
124 |
+
"loss": 0.552,
|
125 |
+
"rewards/accuracies": 0.768750011920929,
|
126 |
+
"rewards/chosen": -0.08908917009830475,
|
127 |
+
"rewards/margins": 0.345054566860199,
|
128 |
+
"rewards/rejected": -0.4341437816619873,
|
129 |
"step": 70
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.20460358056265984,
|
133 |
+
"grad_norm": 39.05798828996261,
|
134 |
+
"learning_rate": 9.682969016701356e-08,
|
135 |
+
"logits/chosen": -4.702755451202393,
|
136 |
+
"logits/rejected": -4.89903450012207,
|
137 |
+
"logps/chosen": -271.28289794921875,
|
138 |
+
"logps/rejected": -292.86474609375,
|
139 |
+
"loss": 0.4978,
|
140 |
+
"rewards/accuracies": 0.75,
|
141 |
+
"rewards/chosen": -0.11036349833011627,
|
142 |
+
"rewards/margins": 0.46904292702674866,
|
143 |
+
"rewards/rejected": -0.5794063806533813,
|
144 |
"step": 80
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.23017902813299232,
|
148 |
+
"grad_norm": 35.899018808141314,
|
149 |
+
"learning_rate": 9.507614539004081e-08,
|
150 |
+
"logits/chosen": -4.802427768707275,
|
151 |
+
"logits/rejected": -5.013784408569336,
|
152 |
+
"logps/chosen": -254.51138305664062,
|
153 |
+
"logps/rejected": -277.52117919921875,
|
154 |
+
"loss": 0.4653,
|
155 |
+
"rewards/accuracies": 0.84375,
|
156 |
+
"rewards/chosen": -0.007465996779501438,
|
157 |
+
"rewards/margins": 0.6835082769393921,
|
158 |
+
"rewards/rejected": -0.6909742951393127,
|
159 |
"step": 90
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.2557544757033248,
|
163 |
+
"grad_norm": 36.72256884048717,
|
164 |
+
"learning_rate": 9.296173762811083e-08,
|
165 |
+
"logits/chosen": -4.685734748840332,
|
166 |
+
"logits/rejected": -4.969820976257324,
|
167 |
+
"logps/chosen": -261.9112243652344,
|
168 |
+
"logps/rejected": -306.5802001953125,
|
169 |
+
"loss": 0.4622,
|
170 |
+
"rewards/accuracies": 0.793749988079071,
|
171 |
+
"rewards/chosen": -0.03183584660291672,
|
172 |
+
"rewards/margins": 0.7450669407844543,
|
173 |
+
"rewards/rejected": -0.7769027948379517,
|
174 |
"step": 100
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.2557544757033248,
|
178 |
+
"eval_logits/chosen": -4.788325309753418,
|
179 |
+
"eval_logits/rejected": -5.006863594055176,
|
180 |
+
"eval_logps/chosen": -439.2997131347656,
|
181 |
+
"eval_logps/rejected": -570.1284790039062,
|
182 |
+
"eval_loss": 0.7195349335670471,
|
183 |
+
"eval_rewards/accuracies": 0.48828125,
|
184 |
+
"eval_rewards/chosen": -0.4882526695728302,
|
185 |
+
"eval_rewards/margins": 0.029155578464269638,
|
186 |
+
"eval_rewards/rejected": -0.5174082517623901,
|
187 |
+
"eval_runtime": 98.6046,
|
188 |
+
"eval_samples_per_second": 20.283,
|
189 |
+
"eval_steps_per_second": 0.325,
|
190 |
"step": 100
|
191 |
},
|
192 |
{
|
193 |
+
"epoch": 0.2813299232736573,
|
194 |
+
"grad_norm": 37.92952007987077,
|
195 |
+
"learning_rate": 9.050339404945832e-08,
|
196 |
+
"logits/chosen": -4.800631999969482,
|
197 |
+
"logits/rejected": -5.014934539794922,
|
198 |
+
"logps/chosen": -261.18560791015625,
|
199 |
+
"logps/rejected": -321.3470458984375,
|
200 |
+
"loss": 0.4274,
|
201 |
+
"rewards/accuracies": 0.84375,
|
202 |
+
"rewards/chosen": -0.1468946933746338,
|
203 |
+
"rewards/margins": 0.8339446783065796,
|
204 |
+
"rewards/rejected": -0.9808392524719238,
|
205 |
"step": 110
|
206 |
},
|
207 |
{
|
208 |
+
"epoch": 0.3069053708439898,
|
209 |
+
"grad_norm": 34.34594445177828,
|
210 |
+
"learning_rate": 8.77207952455395e-08,
|
211 |
+
"logits/chosen": -4.794532775878906,
|
212 |
+
"logits/rejected": -5.045430660247803,
|
213 |
+
"logps/chosen": -288.1357727050781,
|
214 |
+
"logps/rejected": -340.7710876464844,
|
215 |
+
"loss": 0.4231,
|
216 |
+
"rewards/accuracies": 0.8687499761581421,
|
217 |
+
"rewards/chosen": -0.13442620635032654,
|
218 |
+
"rewards/margins": 0.9264079928398132,
|
219 |
+
"rewards/rejected": -1.0608341693878174,
|
220 |
"step": 120
|
221 |
},
|
222 |
{
|
223 |
+
"epoch": 0.33248081841432225,
|
224 |
+
"grad_norm": 38.8387240251847,
|
225 |
+
"learning_rate": 8.463621767547997e-08,
|
226 |
+
"logits/chosen": -4.894143104553223,
|
227 |
+
"logits/rejected": -5.190768718719482,
|
228 |
+
"logps/chosen": -281.547607421875,
|
229 |
+
"logps/rejected": -352.4320983886719,
|
230 |
+
"loss": 0.4055,
|
231 |
+
"rewards/accuracies": 0.856249988079071,
|
232 |
+
"rewards/chosen": -0.25050926208496094,
|
233 |
+
"rewards/margins": 1.063452959060669,
|
234 |
+
"rewards/rejected": -1.3139623403549194,
|
235 |
"step": 130
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 0.35805626598465473,
|
239 |
+
"grad_norm": 36.960561396839225,
|
240 |
+
"learning_rate": 8.127435532896387e-08,
|
241 |
+
"logits/chosen": -4.948976993560791,
|
242 |
+
"logits/rejected": -5.229872703552246,
|
243 |
+
"logps/chosen": -320.14996337890625,
|
244 |
+
"logps/rejected": -386.9942932128906,
|
245 |
+
"loss": 0.392,
|
246 |
+
"rewards/accuracies": 0.84375,
|
247 |
+
"rewards/chosen": -0.3797687590122223,
|
248 |
+
"rewards/margins": 1.1361901760101318,
|
249 |
+
"rewards/rejected": -1.5159590244293213,
|
250 |
"step": 140
|
251 |
},
|
252 |
{
|
253 |
+
"epoch": 0.3836317135549872,
|
254 |
+
"grad_norm": 43.84353984691604,
|
255 |
+
"learning_rate": 7.766212203526569e-08,
|
256 |
+
"logits/chosen": -5.017346382141113,
|
257 |
+
"logits/rejected": -5.299422740936279,
|
258 |
+
"logps/chosen": -287.28350830078125,
|
259 |
+
"logps/rejected": -373.42730712890625,
|
260 |
+
"loss": 0.3891,
|
261 |
+
"rewards/accuracies": 0.824999988079071,
|
262 |
+
"rewards/chosen": -0.374920517206192,
|
263 |
+
"rewards/margins": 1.0954115390777588,
|
264 |
+
"rewards/rejected": -1.4703319072723389,
|
265 |
"step": 150
|
266 |
},
|
267 |
{
|
268 |
+
"epoch": 0.4092071611253197,
|
269 |
+
"grad_norm": 45.6486792527098,
|
270 |
+
"learning_rate": 7.382843600106538e-08,
|
271 |
+
"logits/chosen": -5.09747314453125,
|
272 |
+
"logits/rejected": -5.334885120391846,
|
273 |
+
"logps/chosen": -294.9914855957031,
|
274 |
+
"logps/rejected": -389.2686462402344,
|
275 |
+
"loss": 0.3586,
|
276 |
+
"rewards/accuracies": 0.8187500238418579,
|
277 |
+
"rewards/chosen": -0.47372356057167053,
|
278 |
+
"rewards/margins": 1.2067290544509888,
|
279 |
+
"rewards/rejected": -1.680452585220337,
|
280 |
"step": 160
|
281 |
},
|
282 |
{
|
283 |
+
"epoch": 0.43478260869565216,
|
284 |
+
"grad_norm": 41.55934089834119,
|
285 |
+
"learning_rate": 6.980398830195784e-08,
|
286 |
+
"logits/chosen": -5.022572040557861,
|
287 |
+
"logits/rejected": -5.321537494659424,
|
288 |
+
"logps/chosen": -307.09521484375,
|
289 |
+
"logps/rejected": -427.2223205566406,
|
290 |
+
"loss": 0.3397,
|
291 |
+
"rewards/accuracies": 0.887499988079071,
|
292 |
+
"rewards/chosen": -0.5031875967979431,
|
293 |
+
"rewards/margins": 1.4829540252685547,
|
294 |
+
"rewards/rejected": -1.9861418008804321,
|
295 |
"step": 170
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 0.46035805626598464,
|
299 |
+
"grad_norm": 37.76415174175888,
|
300 |
+
"learning_rate": 6.562099718102787e-08,
|
301 |
+
"logits/chosen": -5.190648078918457,
|
302 |
+
"logits/rejected": -5.442112922668457,
|
303 |
+
"logps/chosen": -293.28350830078125,
|
304 |
+
"logps/rejected": -403.9653625488281,
|
305 |
+
"loss": 0.3551,
|
306 |
+
"rewards/accuracies": 0.856249988079071,
|
307 |
+
"rewards/chosen": -0.5512182116508484,
|
308 |
+
"rewards/margins": 1.491098165512085,
|
309 |
+
"rewards/rejected": -2.042316198348999,
|
310 |
"step": 180
|
311 |
},
|
312 |
{
|
313 |
+
"epoch": 0.4859335038363171,
|
314 |
+
"grad_norm": 52.26242886674056,
|
315 |
+
"learning_rate": 6.131295012148612e-08,
|
316 |
+
"logits/chosen": -5.1211113929748535,
|
317 |
+
"logits/rejected": -5.269497871398926,
|
318 |
+
"logps/chosen": -328.1192321777344,
|
319 |
+
"logps/rejected": -461.3627014160156,
|
320 |
+
"loss": 0.3605,
|
321 |
+
"rewards/accuracies": 0.831250011920929,
|
322 |
+
"rewards/chosen": -0.7219178080558777,
|
323 |
+
"rewards/margins": 1.4698314666748047,
|
324 |
+
"rewards/rejected": -2.1917495727539062,
|
325 |
"step": 190
|
326 |
},
|
327 |
{
|
328 |
+
"epoch": 0.5115089514066496,
|
329 |
+
"grad_norm": 41.210687347051376,
|
330 |
+
"learning_rate": 5.691433575823665e-08,
|
331 |
+
"logits/chosen": -5.160891056060791,
|
332 |
+
"logits/rejected": -5.3507490158081055,
|
333 |
+
"logps/chosen": -323.77532958984375,
|
334 |
+
"logps/rejected": -448.09271240234375,
|
335 |
+
"loss": 0.3618,
|
336 |
+
"rewards/accuracies": 0.800000011920929,
|
337 |
+
"rewards/chosen": -0.7529298067092896,
|
338 |
+
"rewards/margins": 1.5445276498794556,
|
339 |
+
"rewards/rejected": -2.297457456588745,
|
340 |
"step": 200
|
341 |
},
|
342 |
{
|
343 |
+
"epoch": 0.5115089514066496,
|
344 |
+
"eval_logits/chosen": -5.146201133728027,
|
345 |
+
"eval_logits/rejected": -5.404381275177002,
|
346 |
+
"eval_logps/chosen": -551.28759765625,
|
347 |
+
"eval_logps/rejected": -696.0471801757812,
|
348 |
+
"eval_loss": 0.7717023491859436,
|
349 |
+
"eval_rewards/accuracies": 0.5703125,
|
350 |
+
"eval_rewards/chosen": -1.6081316471099854,
|
351 |
+
"eval_rewards/margins": 0.16846325993537903,
|
352 |
+
"eval_rewards/rejected": -1.7765947580337524,
|
353 |
+
"eval_runtime": 98.5146,
|
354 |
+
"eval_samples_per_second": 20.302,
|
355 |
+
"eval_steps_per_second": 0.325,
|
356 |
"step": 200
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 0.5370843989769821,
|
360 |
+
"grad_norm": 33.990804012478485,
|
361 |
+
"learning_rate": 5.2460367774593905e-08,
|
362 |
+
"logits/chosen": -5.241884708404541,
|
363 |
+
"logits/rejected": -5.514366626739502,
|
364 |
+
"logps/chosen": -325.63385009765625,
|
365 |
+
"logps/rejected": -494.1783142089844,
|
366 |
+
"loss": 0.3361,
|
367 |
+
"rewards/accuracies": 0.918749988079071,
|
368 |
+
"rewards/chosen": -0.631729245185852,
|
369 |
+
"rewards/margins": 1.9169912338256836,
|
370 |
+
"rewards/rejected": -2.548720359802246,
|
371 |
"step": 210
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 0.5626598465473146,
|
375 |
+
"grad_norm": 43.799668582141386,
|
376 |
+
"learning_rate": 4.798670299452925e-08,
|
377 |
+
"logits/chosen": -5.0720014572143555,
|
378 |
+
"logits/rejected": -5.483579635620117,
|
379 |
+
"logps/chosen": -326.8290100097656,
|
380 |
+
"logps/rejected": -476.4143981933594,
|
381 |
+
"loss": 0.3361,
|
382 |
+
"rewards/accuracies": 0.862500011920929,
|
383 |
+
"rewards/chosen": -0.6208838224411011,
|
384 |
+
"rewards/margins": 1.8470569849014282,
|
385 |
+
"rewards/rejected": -2.4679408073425293,
|
386 |
"step": 220
|
387 |
},
|
388 |
{
|
389 |
+
"epoch": 0.5882352941176471,
|
390 |
+
"grad_norm": 49.054323066624825,
|
391 |
+
"learning_rate": 4.3529155927297226e-08,
|
392 |
+
"logits/chosen": -5.175291538238525,
|
393 |
+
"logits/rejected": -5.545914649963379,
|
394 |
+
"logps/chosen": -346.18603515625,
|
395 |
+
"logps/rejected": -467.39093017578125,
|
396 |
+
"loss": 0.3482,
|
397 |
+
"rewards/accuracies": 0.8374999761581421,
|
398 |
+
"rewards/chosen": -0.8635517954826355,
|
399 |
+
"rewards/margins": 1.513214111328125,
|
400 |
+
"rewards/rejected": -2.376765727996826,
|
401 |
"step": 230
|
402 |
},
|
403 |
{
|
404 |
+
"epoch": 0.6138107416879796,
|
405 |
+
"grad_norm": 39.76260402422977,
|
406 |
+
"learning_rate": 3.9123412049691636e-08,
|
407 |
+
"logits/chosen": -5.179227828979492,
|
408 |
+
"logits/rejected": -5.498720645904541,
|
409 |
+
"logps/chosen": -356.7921142578125,
|
410 |
+
"logps/rejected": -494.8655700683594,
|
411 |
+
"loss": 0.3289,
|
412 |
+
"rewards/accuracies": 0.856249988079071,
|
413 |
+
"rewards/chosen": -0.8680986166000366,
|
414 |
+
"rewards/margins": 1.7818403244018555,
|
415 |
+
"rewards/rejected": -2.6499390602111816,
|
416 |
"step": 240
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 0.639386189258312,
|
420 |
+
"grad_norm": 39.31547537418584,
|
421 |
+
"learning_rate": 3.480474212128766e-08,
|
422 |
+
"logits/chosen": -5.349845886230469,
|
423 |
+
"logits/rejected": -5.674462795257568,
|
424 |
+
"logps/chosen": -343.0057067871094,
|
425 |
+
"logps/rejected": -444.6160583496094,
|
426 |
+
"loss": 0.3376,
|
427 |
+
"rewards/accuracies": 0.824999988079071,
|
428 |
+
"rewards/chosen": -0.9290262460708618,
|
429 |
+
"rewards/margins": 1.3633143901824951,
|
430 |
+
"rewards/rejected": -2.2923407554626465,
|
431 |
"step": 250
|
432 |
},
|
433 |
{
|
434 |
+
"epoch": 0.6649616368286445,
|
435 |
+
"grad_norm": 47.933967621919784,
|
436 |
+
"learning_rate": 3.060771981975726e-08,
|
437 |
+
"logits/chosen": -5.2227373123168945,
|
438 |
+
"logits/rejected": -5.566103935241699,
|
439 |
+
"logps/chosen": -334.39306640625,
|
440 |
+
"logps/rejected": -502.48211669921875,
|
441 |
+
"loss": 0.3271,
|
442 |
+
"rewards/accuracies": 0.856249988079071,
|
443 |
+
"rewards/chosen": -0.8672464489936829,
|
444 |
+
"rewards/margins": 1.90872323513031,
|
445 |
+
"rewards/rejected": -2.7759692668914795,
|
446 |
"step": 260
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 0.690537084398977,
|
450 |
+
"grad_norm": 37.918454908956036,
|
451 |
+
"learning_rate": 2.6565944956764818e-08,
|
452 |
+
"logits/chosen": -5.3946356773376465,
|
453 |
+
"logits/rejected": -5.655900478363037,
|
454 |
+
"logps/chosen": -349.11785888671875,
|
455 |
+
"logps/rejected": -490.94720458984375,
|
456 |
+
"loss": 0.3334,
|
457 |
+
"rewards/accuracies": 0.862500011920929,
|
458 |
+
"rewards/chosen": -0.8713266253471375,
|
459 |
+
"rewards/margins": 1.8250868320465088,
|
460 |
+
"rewards/rejected": -2.696413516998291,
|
461 |
"step": 270
|
462 |
},
|
463 |
{
|
464 |
+
"epoch": 0.7161125319693095,
|
465 |
+
"grad_norm": 43.57355633058329,
|
466 |
+
"learning_rate": 2.2711774490274766e-08,
|
467 |
+
"logits/chosen": -5.313577651977539,
|
468 |
+
"logits/rejected": -5.556331157684326,
|
469 |
+
"logps/chosen": -347.73529052734375,
|
470 |
+
"logps/rejected": -519.9879150390625,
|
471 |
+
"loss": 0.3132,
|
472 |
+
"rewards/accuracies": 0.8687499761581421,
|
473 |
+
"rewards/chosen": -0.8589982986450195,
|
474 |
+
"rewards/margins": 1.8729617595672607,
|
475 |
+
"rewards/rejected": -2.731959819793701,
|
476 |
"step": 280
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 0.7416879795396419,
|
480 |
+
"grad_norm": 48.474190706284276,
|
481 |
+
"learning_rate": 1.9076063486687256e-08,
|
482 |
+
"logits/chosen": -5.153687477111816,
|
483 |
+
"logits/rejected": -5.569068908691406,
|
484 |
+
"logps/chosen": -342.547607421875,
|
485 |
+
"logps/rejected": -473.8719787597656,
|
486 |
+
"loss": 0.3082,
|
487 |
+
"rewards/accuracies": 0.893750011920929,
|
488 |
+
"rewards/chosen": -0.7416984438896179,
|
489 |
+
"rewards/margins": 1.8063793182373047,
|
490 |
+
"rewards/rejected": -2.5480778217315674,
|
491 |
"step": 290
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 0.7672634271099744,
|
495 |
+
"grad_norm": 46.47610707831878,
|
496 |
+
"learning_rate": 1.5687918106563324e-08,
|
497 |
+
"logits/chosen": -5.316671371459961,
|
498 |
+
"logits/rejected": -5.562603950500488,
|
499 |
+
"logps/chosen": -339.9733581542969,
|
500 |
+
"logps/rejected": -511.3289489746094,
|
501 |
+
"loss": 0.3249,
|
502 |
+
"rewards/accuracies": 0.8374999761581421,
|
503 |
+
"rewards/chosen": -0.8634950518608093,
|
504 |
+
"rewards/margins": 2.052011251449585,
|
505 |
+
"rewards/rejected": -2.915506601333618,
|
506 |
"step": 300
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 0.7672634271099744,
|
510 |
+
"eval_logits/chosen": -5.345163345336914,
|
511 |
+
"eval_logits/rejected": -5.603174209594727,
|
512 |
+
"eval_logps/chosen": -585.470458984375,
|
513 |
+
"eval_logps/rejected": -737.188720703125,
|
514 |
+
"eval_loss": 0.7740334272384644,
|
515 |
+
"eval_rewards/accuracies": 0.56640625,
|
516 |
+
"eval_rewards/chosen": -1.9499597549438477,
|
517 |
+
"eval_rewards/margins": 0.23805105686187744,
|
518 |
+
"eval_rewards/rejected": -2.1880106925964355,
|
519 |
+
"eval_runtime": 98.564,
|
520 |
+
"eval_samples_per_second": 20.291,
|
521 |
+
"eval_steps_per_second": 0.325,
|
522 |
"step": 300
|
523 |
},
|
524 |
{
|
525 |
+
"epoch": 0.7928388746803069,
|
526 |
+
"grad_norm": 43.72352052570602,
|
527 |
+
"learning_rate": 1.257446259144494e-08,
|
528 |
+
"logits/chosen": -5.234416961669922,
|
529 |
+
"logits/rejected": -5.61405611038208,
|
530 |
+
"logps/chosen": -347.01263427734375,
|
531 |
+
"logps/rejected": -529.2141723632812,
|
532 |
+
"loss": 0.3198,
|
533 |
+
"rewards/accuracies": 0.925000011920929,
|
534 |
+
"rewards/chosen": -0.8649846911430359,
|
535 |
+
"rewards/margins": 2.1693644523620605,
|
536 |
+
"rewards/rejected": -3.034349203109741,
|
537 |
"step": 310
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 0.8184143222506394,
|
541 |
+
"grad_norm": 49.6074266455155,
|
542 |
+
"learning_rate": 9.760622117187234e-09,
|
543 |
+
"logits/chosen": -5.37489128112793,
|
544 |
+
"logits/rejected": -5.706605434417725,
|
545 |
+
"logps/chosen": -341.7244567871094,
|
546 |
+
"logps/rejected": -499.4188537597656,
|
547 |
+
"loss": 0.3337,
|
548 |
+
"rewards/accuracies": 0.887499988079071,
|
549 |
+
"rewards/chosen": -0.9388681650161743,
|
550 |
+
"rewards/margins": 1.9423179626464844,
|
551 |
+
"rewards/rejected": -2.881186008453369,
|
552 |
"step": 320
|
553 |
},
|
554 |
{
|
555 |
+
"epoch": 0.8439897698209718,
|
556 |
+
"grad_norm": 47.67492578137724,
|
557 |
+
"learning_rate": 7.2689232521989885e-09,
|
558 |
+
"logits/chosen": -5.29935884475708,
|
559 |
+
"logits/rejected": -5.635709762573242,
|
560 |
+
"logps/chosen": -363.49591064453125,
|
561 |
+
"logps/rejected": -517.4185180664062,
|
562 |
+
"loss": 0.314,
|
563 |
+
"rewards/accuracies": 0.8125,
|
564 |
+
"rewards/chosen": -0.9602580070495605,
|
565 |
+
"rewards/margins": 1.8374437093734741,
|
566 |
+
"rewards/rejected": -2.797701597213745,
|
567 |
"step": 330
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 0.8695652173913043,
|
571 |
+
"grad_norm": 39.135188403156114,
|
572 |
+
"learning_rate": 5.119313618049309e-09,
|
573 |
+
"logits/chosen": -5.324515342712402,
|
574 |
+
"logits/rejected": -5.7237324714660645,
|
575 |
+
"logps/chosen": -366.15264892578125,
|
576 |
+
"logps/rejected": -471.0101623535156,
|
577 |
+
"loss": 0.3135,
|
578 |
+
"rewards/accuracies": 0.831250011920929,
|
579 |
+
"rewards/chosen": -0.9129904508590698,
|
580 |
+
"rewards/margins": 1.6364881992340088,
|
581 |
+
"rewards/rejected": -2.549478530883789,
|
582 |
"step": 340
|
583 |
},
|
584 |
{
|
585 |
+
"epoch": 0.8951406649616368,
|
586 |
+
"grad_norm": 43.15700039763216,
|
587 |
+
"learning_rate": 3.3290021961708158e-09,
|
588 |
+
"logits/chosen": -5.358675956726074,
|
589 |
+
"logits/rejected": -5.501515865325928,
|
590 |
+
"logps/chosen": -351.61016845703125,
|
591 |
+
"logps/rejected": -492.70294189453125,
|
592 |
+
"loss": 0.3421,
|
593 |
+
"rewards/accuracies": 0.84375,
|
594 |
+
"rewards/chosen": -1.0095672607421875,
|
595 |
+
"rewards/margins": 1.6046628952026367,
|
596 |
+
"rewards/rejected": -2.614229917526245,
|
597 |
"step": 350
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 0.9207161125319693,
|
601 |
+
"grad_norm": 43.21141833066524,
|
602 |
+
"learning_rate": 1.9123215591052013e-09,
|
603 |
+
"logits/chosen": -5.308594703674316,
|
604 |
+
"logits/rejected": -5.525307655334473,
|
605 |
+
"logps/chosen": -355.9210510253906,
|
606 |
+
"logps/rejected": -509.302001953125,
|
607 |
+
"loss": 0.3229,
|
608 |
+
"rewards/accuracies": 0.862500011920929,
|
609 |
+
"rewards/chosen": -0.9471023678779602,
|
610 |
+
"rewards/margins": 1.8037946224212646,
|
611 |
+
"rewards/rejected": -2.75089693069458,
|
612 |
"step": 360
|
613 |
},
|
614 |
{
|
615 |
+
"epoch": 0.9462915601023018,
|
616 |
+
"grad_norm": 45.460982961010096,
|
617 |
+
"learning_rate": 8.806131292167618e-10,
|
618 |
+
"logits/chosen": -5.335926055908203,
|
619 |
+
"logits/rejected": -5.556703567504883,
|
620 |
+
"logps/chosen": -349.836181640625,
|
621 |
+
"logps/rejected": -495.7314453125,
|
622 |
+
"loss": 0.3405,
|
623 |
+
"rewards/accuracies": 0.8125,
|
624 |
+
"rewards/chosen": -0.957531750202179,
|
625 |
+
"rewards/margins": 1.595903754234314,
|
626 |
+
"rewards/rejected": -2.5534353256225586,
|
627 |
"step": 370
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 0.9718670076726342,
|
631 |
+
"grad_norm": 44.49515613968937,
|
632 |
+
"learning_rate": 2.4213638345040867e-10,
|
633 |
+
"logits/chosen": -5.496818542480469,
|
634 |
+
"logits/rejected": -5.771291255950928,
|
635 |
+
"logps/chosen": -356.3369445800781,
|
636 |
+
"logps/rejected": -501.03448486328125,
|
637 |
+
"loss": 0.3269,
|
638 |
+
"rewards/accuracies": 0.8500000238418579,
|
639 |
+
"rewards/chosen": -0.9707748293876648,
|
640 |
+
"rewards/margins": 1.7586256265640259,
|
641 |
+
"rewards/rejected": -2.729400634765625,
|
642 |
"step": 380
|
643 |
},
|
644 |
{
|
645 |
+
"epoch": 0.9974424552429667,
|
646 |
+
"grad_norm": 54.69003383274636,
|
647 |
+
"learning_rate": 2.0027310073833516e-12,
|
648 |
+
"logits/chosen": -5.4842376708984375,
|
649 |
+
"logits/rejected": -5.72286319732666,
|
650 |
+
"logps/chosen": -359.2212829589844,
|
651 |
+
"logps/rejected": -514.3115234375,
|
652 |
+
"loss": 0.3144,
|
653 |
+
"rewards/accuracies": 0.862500011920929,
|
654 |
+
"rewards/chosen": -0.9742454290390015,
|
655 |
+
"rewards/margins": 1.8987795114517212,
|
656 |
+
"rewards/rejected": -2.8730247020721436,
|
657 |
"step": 390
|
658 |
},
|
659 |
{
|
660 |
"epoch": 1.0,
|
661 |
"step": 391,
|
662 |
"total_flos": 0.0,
|
663 |
+
"train_loss": 0.4100414538932273,
|
664 |
+
"train_runtime": 6205.0725,
|
665 |
+
"train_samples_per_second": 8.058,
|
666 |
+
"train_steps_per_second": 0.063
|
667 |
}
|
668 |
],
|
669 |
"logging_steps": 10,
|
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 sha256:08b44cbfb47e0b0ab717461874f5af1f5bae2515baf1a1af924d72d425712001
|
3 |
+
size 6328
|