Model save
Browse files- README.md +21 -17
- adapter_model.safetensors +1 -1
- all_results.json +18 -18
- eval_results.json +13 -13
- runs/Mar01_00-18-23_gpu4-119-4/events.out.tfevents.1709212862.gpu4-119-4.1402568.0 +2 -2
- runs/Mar01_00-18-23_gpu4-119-4/events.out.tfevents.1709225593.gpu4-119-4.1402568.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +1293 -101
README.md
CHANGED
|
@@ -2,13 +2,9 @@
|
|
| 2 |
license: mit
|
| 3 |
library_name: peft
|
| 4 |
tags:
|
| 5 |
-
- alignment-handbook
|
| 6 |
-
- generated_from_trainer
|
| 7 |
- trl
|
| 8 |
- dpo
|
| 9 |
- generated_from_trainer
|
| 10 |
-
datasets:
|
| 11 |
-
- HuggingFaceH4/ultrafeedback_binarized
|
| 12 |
base_model: microsoft/phi-2
|
| 13 |
model-index:
|
| 14 |
- name: phi-2-gpo-ultrachat-lora-2
|
|
@@ -20,17 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 20 |
|
| 21 |
# phi-2-gpo-ultrachat-lora-2
|
| 22 |
|
| 23 |
-
This model is a fine-tuned version of [
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
-
- Loss: 0.
|
| 26 |
-
- Rewards/chosen: -0.
|
| 27 |
-
- Rewards/rejected: -0.
|
| 28 |
-
- Rewards/accuracies: 0.
|
| 29 |
-
- Rewards/margins: 0.
|
| 30 |
-
- Logps/rejected: -
|
| 31 |
-
- Logps/chosen: -
|
| 32 |
-
- Logits/rejected: 0.
|
| 33 |
-
- Logits/chosen: 0.
|
| 34 |
|
| 35 |
## Model description
|
| 36 |
|
|
@@ -65,9 +61,17 @@ The following hyperparameters were used during training:
|
|
| 65 |
|
| 66 |
### Training results
|
| 67 |
|
| 68 |
-
| Training Loss | Epoch | Step |
|
| 69 |
-
|
| 70 |
-
| 0.01 | 1.04 | 100 | 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
|
| 72 |
|
| 73 |
### Framework versions
|
|
|
|
| 2 |
license: mit
|
| 3 |
library_name: peft
|
| 4 |
tags:
|
|
|
|
|
|
|
| 5 |
- trl
|
| 6 |
- dpo
|
| 7 |
- generated_from_trainer
|
|
|
|
|
|
|
| 8 |
base_model: microsoft/phi-2
|
| 9 |
model-index:
|
| 10 |
- name: phi-2-gpo-ultrachat-lora-2
|
|
|
|
| 16 |
|
| 17 |
# phi-2-gpo-ultrachat-lora-2
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0093
|
| 22 |
+
- Rewards/chosen: -0.0154
|
| 23 |
+
- Rewards/rejected: -0.0218
|
| 24 |
+
- Rewards/accuracies: 0.3500
|
| 25 |
+
- Rewards/margins: 0.0064
|
| 26 |
+
- Logps/rejected: -96.3794
|
| 27 |
+
- Logps/chosen: -93.2678
|
| 28 |
+
- Logits/rejected: 0.7520
|
| 29 |
+
- Logits/chosen: 0.7332
|
| 30 |
|
| 31 |
## Model description
|
| 32 |
|
|
|
|
| 61 |
|
| 62 |
### Training results
|
| 63 |
|
| 64 |
+
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|
| 65 |
+
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
|
| 66 |
+
| 0.01 | 1.04 | 100 | 0.8011 | 0.8188 | -91.7671 | -94.2623 | 0.0100 | 0.25 | -0.0004 | 0.0003 | -0.0007 |
|
| 67 |
+
| 0.0098 | 0.42 | 200 | 0.0098 | -0.0018 | -0.0032 | 0.3060 | 0.0015 | -94.5191 | -91.9032 | 0.8107 | 0.7928 |
|
| 68 |
+
| 0.0095 | 0.63 | 300 | 0.0096 | -0.0058 | -0.0088 | 0.3060 | 0.0030 | -95.0819 | -92.3092 | 0.7982 | 0.7800 |
|
| 69 |
+
| 0.0091 | 0.84 | 400 | 0.0094 | -0.0110 | -0.0157 | 0.3340 | 0.0047 | -95.7642 | -92.8250 | 0.7753 | 0.7565 |
|
| 70 |
+
| 0.0094 | 1.05 | 500 | 0.0093 | -0.0132 | -0.0192 | 0.3400 | 0.0060 | -96.1150 | -93.0463 | 0.7679 | 0.7492 |
|
| 71 |
+
| 0.0093 | 1.26 | 600 | 0.0093 | -0.0144 | -0.0207 | 0.3440 | 0.0063 | -96.2631 | -93.1677 | 0.7578 | 0.7383 |
|
| 72 |
+
| 0.009 | 1.47 | 700 | 0.0093 | -0.0152 | -0.0212 | 0.3480 | 0.0060 | -96.3198 | -93.2491 | 0.7545 | 0.7355 |
|
| 73 |
+
| 0.009 | 1.67 | 800 | 0.0093 | -0.0155 | -0.0218 | 0.3420 | 0.0063 | -96.3791 | -93.2749 | 0.7523 | 0.7328 |
|
| 74 |
+
| 0.0091 | 1.88 | 900 | 0.0093 | -0.0156 | -0.0218 | 0.3480 | 0.0063 | -96.3809 | -93.2841 | 0.7515 | 0.7320 |
|
| 75 |
|
| 76 |
|
| 77 |
### Framework versions
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 41977616
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df2ff3799a11a765893c7f36ebf65cc1ce4d76654a140aaa8e916529c6773a44
|
| 3 |
size 41977616
|
all_results.json
CHANGED
|
@@ -1,21 +1,21 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_logits/chosen": 0.
|
| 4 |
-
"eval_logits/rejected": 0.
|
| 5 |
-
"eval_logps/chosen": -
|
| 6 |
-
"eval_logps/rejected": -
|
| 7 |
-
"eval_loss": 0.
|
| 8 |
-
"eval_rewards/accuracies": 0.
|
| 9 |
-
"eval_rewards/chosen": -0.
|
| 10 |
-
"eval_rewards/margins": 0.
|
| 11 |
-
"eval_rewards/rejected": -0.
|
| 12 |
-
"eval_runtime":
|
| 13 |
"eval_samples": 2000,
|
| 14 |
-
"eval_samples_per_second": 7.
|
| 15 |
-
"eval_steps_per_second": 0.
|
| 16 |
-
"train_loss": 0.
|
| 17 |
-
"train_runtime":
|
| 18 |
-
"train_samples":
|
| 19 |
-
"train_samples_per_second": 4.
|
| 20 |
-
"train_steps_per_second": 0.
|
| 21 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"eval_logits/chosen": 0.7331738471984863,
|
| 4 |
+
"eval_logits/rejected": 0.7520135045051575,
|
| 5 |
+
"eval_logps/chosen": -93.26776885986328,
|
| 6 |
+
"eval_logps/rejected": -96.37944030761719,
|
| 7 |
+
"eval_loss": 0.00928194634616375,
|
| 8 |
+
"eval_rewards/accuracies": 0.3499999940395355,
|
| 9 |
+
"eval_rewards/chosen": -0.015403981320559978,
|
| 10 |
+
"eval_rewards/margins": 0.006420300807803869,
|
| 11 |
+
"eval_rewards/rejected": -0.02182428352534771,
|
| 12 |
+
"eval_runtime": 272.4398,
|
| 13 |
"eval_samples": 2000,
|
| 14 |
+
"eval_samples_per_second": 7.341,
|
| 15 |
+
"eval_steps_per_second": 0.459,
|
| 16 |
+
"train_loss": 0.008370190804172112,
|
| 17 |
+
"train_runtime": 12459.0229,
|
| 18 |
+
"train_samples": 30567,
|
| 19 |
+
"train_samples_per_second": 4.907,
|
| 20 |
+
"train_steps_per_second": 0.077
|
| 21 |
}
|
eval_results.json
CHANGED
|
@@ -1,16 +1,16 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_logits/chosen": 0.
|
| 4 |
-
"eval_logits/rejected": 0.
|
| 5 |
-
"eval_logps/chosen": -
|
| 6 |
-
"eval_logps/rejected": -
|
| 7 |
-
"eval_loss": 0.
|
| 8 |
-
"eval_rewards/accuracies": 0.
|
| 9 |
-
"eval_rewards/chosen": -0.
|
| 10 |
-
"eval_rewards/margins": 0.
|
| 11 |
-
"eval_rewards/rejected": -0.
|
| 12 |
-
"eval_runtime":
|
| 13 |
"eval_samples": 2000,
|
| 14 |
-
"eval_samples_per_second": 7.
|
| 15 |
-
"eval_steps_per_second": 0.
|
| 16 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"eval_logits/chosen": 0.7331738471984863,
|
| 4 |
+
"eval_logits/rejected": 0.7520135045051575,
|
| 5 |
+
"eval_logps/chosen": -93.26776885986328,
|
| 6 |
+
"eval_logps/rejected": -96.37944030761719,
|
| 7 |
+
"eval_loss": 0.00928194634616375,
|
| 8 |
+
"eval_rewards/accuracies": 0.3499999940395355,
|
| 9 |
+
"eval_rewards/chosen": -0.015403981320559978,
|
| 10 |
+
"eval_rewards/margins": 0.006420300807803869,
|
| 11 |
+
"eval_rewards/rejected": -0.02182428352534771,
|
| 12 |
+
"eval_runtime": 272.4398,
|
| 13 |
"eval_samples": 2000,
|
| 14 |
+
"eval_samples_per_second": 7.341,
|
| 15 |
+
"eval_steps_per_second": 0.459
|
| 16 |
}
|
runs/Mar01_00-18-23_gpu4-119-4/events.out.tfevents.1709212862.gpu4-119-4.1402568.0
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:e93387dd7351f25e4bee2b7f566d1118f4374ae2d039ce989f37eec0f7f5165c
|
| 3 |
+
size 64976
|
runs/Mar01_00-18-23_gpu4-119-4/events.out.tfevents.1709225593.gpu4-119-4.1402568.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06232da9ee6e82413cdcf198440cf3a6da0fd688540a1ef72b1e4c08dc9156e4
|
| 3 |
+
size 828
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second": 4.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"train_loss": 0.008370190804172112,
|
| 4 |
+
"train_runtime": 12459.0229,
|
| 5 |
+
"train_samples": 30567,
|
| 6 |
+
"train_samples_per_second": 4.907,
|
| 7 |
+
"train_steps_per_second": 0.077
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 1.
|
| 5 |
"eval_steps": 100,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -179,143 +179,1335 @@
|
|
| 179 |
"step": 100
|
| 180 |
},
|
| 181 |
{
|
| 182 |
-
"epoch":
|
| 183 |
-
"learning_rate":
|
| 184 |
-
"logits/chosen": 0.
|
| 185 |
-
"logits/rejected": 0.
|
| 186 |
-
"logps/chosen": -
|
| 187 |
-
"logps/rejected": -
|
| 188 |
"loss": 0.0099,
|
| 189 |
-
"rewards/accuracies": 0.
|
| 190 |
-
"rewards/chosen": 0.
|
| 191 |
-
"rewards/margins": 0.
|
| 192 |
-
"rewards/rejected": -0.
|
| 193 |
"step": 110
|
| 194 |
},
|
| 195 |
{
|
| 196 |
-
"epoch":
|
| 197 |
-
"learning_rate":
|
| 198 |
-
"logits/chosen": 0.
|
| 199 |
-
"logits/rejected": 0.
|
| 200 |
-
"logps/chosen": -
|
| 201 |
-
"logps/rejected": -
|
| 202 |
-
"loss": 0.
|
| 203 |
"rewards/accuracies": 0.2874999940395355,
|
| 204 |
-
"rewards/chosen": 0.
|
| 205 |
-
"rewards/margins":
|
| 206 |
-
"rewards/rejected": -0.
|
| 207 |
"step": 120
|
| 208 |
},
|
| 209 |
{
|
| 210 |
-
"epoch":
|
| 211 |
-
"learning_rate":
|
| 212 |
-
"logits/chosen": 0.
|
| 213 |
-
"logits/rejected": 0.
|
| 214 |
-
"logps/chosen": -
|
| 215 |
-
"logps/rejected": -
|
| 216 |
"loss": 0.0099,
|
| 217 |
-
"rewards/accuracies": 0.
|
| 218 |
-
"rewards/chosen": -0.
|
| 219 |
-
"rewards/margins": 0.
|
| 220 |
-
"rewards/rejected": -0.
|
| 221 |
"step": 130
|
| 222 |
},
|
| 223 |
{
|
| 224 |
-
"epoch":
|
| 225 |
-
"learning_rate":
|
| 226 |
-
"logits/chosen": 0.
|
| 227 |
-
"logits/rejected": 0.
|
| 228 |
-
"logps/chosen": -
|
| 229 |
-
"logps/rejected": -
|
| 230 |
-
"loss": 0.
|
| 231 |
-
"rewards/accuracies": 0.
|
| 232 |
-
"rewards/chosen": -0.
|
| 233 |
-
"rewards/margins": 0.
|
| 234 |
-
"rewards/rejected": -0.
|
| 235 |
"step": 140
|
| 236 |
},
|
| 237 |
{
|
| 238 |
-
"epoch":
|
| 239 |
-
"learning_rate":
|
| 240 |
-
"logits/chosen": 0.
|
| 241 |
-
"logits/rejected": 0.
|
| 242 |
-
"logps/chosen": -
|
| 243 |
-
"logps/rejected": -
|
| 244 |
"loss": 0.0099,
|
| 245 |
-
"rewards/accuracies": 0.
|
| 246 |
-
"rewards/chosen": -
|
| 247 |
-
"rewards/margins": 0.
|
| 248 |
-
"rewards/rejected": -0.
|
| 249 |
"step": 150
|
| 250 |
},
|
| 251 |
{
|
| 252 |
-
"epoch":
|
| 253 |
-
"learning_rate":
|
| 254 |
-
"logits/chosen": 0.
|
| 255 |
-
"logits/rejected": 0.
|
| 256 |
-
"logps/chosen": -
|
| 257 |
-
"logps/rejected": -
|
| 258 |
"loss": 0.0099,
|
| 259 |
-
"rewards/accuracies": 0.
|
| 260 |
-
"rewards/chosen": -0.
|
| 261 |
-
"rewards/margins":
|
| 262 |
-
"rewards/rejected": -0.
|
| 263 |
"step": 160
|
| 264 |
},
|
| 265 |
{
|
| 266 |
-
"epoch":
|
| 267 |
-
"learning_rate":
|
| 268 |
-
"logits/chosen": 0.
|
| 269 |
-
"logits/rejected": 0.
|
| 270 |
-
"logps/chosen": -
|
| 271 |
-
"logps/rejected": -
|
| 272 |
"loss": 0.0099,
|
| 273 |
-
"rewards/accuracies": 0.
|
| 274 |
-
"rewards/chosen": -0.
|
| 275 |
-
"rewards/margins": 0.
|
| 276 |
-
"rewards/rejected": -0.
|
| 277 |
"step": 170
|
| 278 |
},
|
| 279 |
{
|
| 280 |
-
"epoch":
|
| 281 |
-
"learning_rate": 4.
|
| 282 |
-
"logits/chosen": 0.
|
| 283 |
-
"logits/rejected": 0.
|
| 284 |
-
"logps/chosen": -
|
| 285 |
-
"logps/rejected": -
|
| 286 |
"loss": 0.0099,
|
| 287 |
-
"rewards/accuracies": 0.
|
| 288 |
-
"rewards/chosen": -0.
|
| 289 |
-
"rewards/margins": 0.
|
| 290 |
-
"rewards/rejected": -0.
|
| 291 |
"step": 180
|
| 292 |
},
|
| 293 |
{
|
| 294 |
-
"epoch":
|
| 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": -0.
|
| 305 |
"step": 190
|
| 306 |
},
|
| 307 |
{
|
| 308 |
-
"epoch":
|
| 309 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 310 |
"total_flos": 0.0,
|
| 311 |
-
"train_loss": 0.
|
| 312 |
-
"train_runtime":
|
| 313 |
-
"train_samples_per_second": 4.
|
| 314 |
-
"train_steps_per_second": 0.
|
| 315 |
}
|
| 316 |
],
|
| 317 |
"logging_steps": 10,
|
| 318 |
-
"max_steps":
|
| 319 |
"num_input_tokens_seen": 0,
|
| 320 |
"num_train_epochs": 2,
|
| 321 |
"save_steps": 100,
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9968602825745683,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 954,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 179 |
"step": 100
|
| 180 |
},
|
| 181 |
{
|
| 182 |
+
"epoch": 0.23,
|
| 183 |
+
"learning_rate": 4.996716052911017e-06,
|
| 184 |
+
"logits/chosen": 0.807642936706543,
|
| 185 |
+
"logits/rejected": 0.8303602337837219,
|
| 186 |
+
"logps/chosen": -110.20500183105469,
|
| 187 |
+
"logps/rejected": -96.52973937988281,
|
| 188 |
"loss": 0.0099,
|
| 189 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 190 |
+
"rewards/chosen": -0.0005453795311041176,
|
| 191 |
+
"rewards/margins": 0.0005892693297937512,
|
| 192 |
+
"rewards/rejected": -0.0011346489191055298,
|
| 193 |
"step": 110
|
| 194 |
},
|
| 195 |
{
|
| 196 |
+
"epoch": 0.25,
|
| 197 |
+
"learning_rate": 4.9903533134293035e-06,
|
| 198 |
+
"logits/chosen": 0.8457789421081543,
|
| 199 |
+
"logits/rejected": 0.9221089482307434,
|
| 200 |
+
"logps/chosen": -84.42936706542969,
|
| 201 |
+
"logps/rejected": -80.35577392578125,
|
| 202 |
+
"loss": 0.01,
|
| 203 |
"rewards/accuracies": 0.2874999940395355,
|
| 204 |
+
"rewards/chosen": -0.0005200408631935716,
|
| 205 |
+
"rewards/margins": -2.1466799807967618e-05,
|
| 206 |
+
"rewards/rejected": -0.0004985741106793284,
|
| 207 |
"step": 120
|
| 208 |
},
|
| 209 |
{
|
| 210 |
+
"epoch": 0.27,
|
| 211 |
+
"learning_rate": 4.9806521797692184e-06,
|
| 212 |
+
"logits/chosen": 0.7757605910301208,
|
| 213 |
+
"logits/rejected": 0.8338298797607422,
|
| 214 |
+
"logps/chosen": -91.54916381835938,
|
| 215 |
+
"logps/rejected": -80.19969177246094,
|
| 216 |
"loss": 0.0099,
|
| 217 |
+
"rewards/accuracies": 0.28125,
|
| 218 |
+
"rewards/chosen": -0.00031306734308600426,
|
| 219 |
+
"rewards/margins": 0.0007860729238018394,
|
| 220 |
+
"rewards/rejected": -0.0010991402668878436,
|
| 221 |
"step": 130
|
| 222 |
},
|
| 223 |
{
|
| 224 |
+
"epoch": 0.29,
|
| 225 |
+
"learning_rate": 4.967625656594782e-06,
|
| 226 |
+
"logits/chosen": 0.8086369633674622,
|
| 227 |
+
"logits/rejected": 0.8897687792778015,
|
| 228 |
+
"logps/chosen": -102.42750549316406,
|
| 229 |
+
"logps/rejected": -121.26502990722656,
|
| 230 |
+
"loss": 0.01,
|
| 231 |
+
"rewards/accuracies": 0.2874999940395355,
|
| 232 |
+
"rewards/chosen": -0.0017349247355014086,
|
| 233 |
+
"rewards/margins": -0.0009382988209836185,
|
| 234 |
+
"rewards/rejected": -0.0007966257398948073,
|
| 235 |
"step": 140
|
| 236 |
},
|
| 237 |
{
|
| 238 |
+
"epoch": 0.31,
|
| 239 |
+
"learning_rate": 4.95129120635556e-06,
|
| 240 |
+
"logits/chosen": 0.8270760774612427,
|
| 241 |
+
"logits/rejected": 0.8866473436355591,
|
| 242 |
+
"logps/chosen": -98.09243774414062,
|
| 243 |
+
"logps/rejected": -75.63480377197266,
|
| 244 |
"loss": 0.0099,
|
| 245 |
+
"rewards/accuracies": 0.29374998807907104,
|
| 246 |
+
"rewards/chosen": -0.0008643465116620064,
|
| 247 |
+
"rewards/margins": 0.0005676061264239252,
|
| 248 |
+
"rewards/rejected": -0.0014319528127089143,
|
| 249 |
"step": 150
|
| 250 |
},
|
| 251 |
{
|
| 252 |
+
"epoch": 0.33,
|
| 253 |
+
"learning_rate": 4.93167072587771e-06,
|
| 254 |
+
"logits/chosen": 0.7157760858535767,
|
| 255 |
+
"logits/rejected": 0.7634655237197876,
|
| 256 |
+
"logps/chosen": -80.0224609375,
|
| 257 |
+
"logps/rejected": -73.7667236328125,
|
| 258 |
"loss": 0.0099,
|
| 259 |
+
"rewards/accuracies": 0.26875001192092896,
|
| 260 |
+
"rewards/chosen": -0.0008890128810890019,
|
| 261 |
+
"rewards/margins": 0.0006957318400964141,
|
| 262 |
+
"rewards/rejected": -0.001584744779393077,
|
| 263 |
"step": 160
|
| 264 |
},
|
| 265 |
{
|
| 266 |
+
"epoch": 0.36,
|
| 267 |
+
"learning_rate": 4.908790517010637e-06,
|
| 268 |
+
"logits/chosen": 0.8680498003959656,
|
| 269 |
+
"logits/rejected": 0.9332998394966125,
|
| 270 |
+
"logps/chosen": -72.52728271484375,
|
| 271 |
+
"logps/rejected": -81.39039611816406,
|
| 272 |
"loss": 0.0099,
|
| 273 |
+
"rewards/accuracies": 0.3062500059604645,
|
| 274 |
+
"rewards/chosen": -0.0010830673854798079,
|
| 275 |
+
"rewards/margins": 0.0011036808136850595,
|
| 276 |
+
"rewards/rejected": -0.0021867481991648674,
|
| 277 |
"step": 170
|
| 278 |
},
|
| 279 |
{
|
| 280 |
+
"epoch": 0.38,
|
| 281 |
+
"learning_rate": 4.882681251368549e-06,
|
| 282 |
+
"logits/chosen": 0.7853900790214539,
|
| 283 |
+
"logits/rejected": 0.8009947538375854,
|
| 284 |
+
"logps/chosen": -98.69686889648438,
|
| 285 |
+
"logps/rejected": -94.05746459960938,
|
| 286 |
"loss": 0.0099,
|
| 287 |
+
"rewards/accuracies": 0.30000001192092896,
|
| 288 |
+
"rewards/chosen": -0.0003774884680751711,
|
| 289 |
+
"rewards/margins": 0.0011976181995123625,
|
| 290 |
+
"rewards/rejected": -0.001575106754899025,
|
| 291 |
"step": 180
|
| 292 |
},
|
| 293 |
{
|
| 294 |
+
"epoch": 0.4,
|
| 295 |
+
"learning_rate": 4.853377929214243e-06,
|
| 296 |
+
"logits/chosen": 0.7380321621894836,
|
| 297 |
+
"logits/rejected": 0.8313556909561157,
|
| 298 |
+
"logps/chosen": -97.42859649658203,
|
| 299 |
+
"logps/rejected": -107.14707946777344,
|
| 300 |
+
"loss": 0.0098,
|
| 301 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 302 |
+
"rewards/chosen": -0.0015280761290341616,
|
| 303 |
+
"rewards/margins": 0.0013618851080536842,
|
| 304 |
+
"rewards/rejected": -0.0028899614699184895,
|
| 305 |
"step": 190
|
| 306 |
},
|
| 307 |
{
|
| 308 |
+
"epoch": 0.42,
|
| 309 |
+
"learning_rate": 4.8209198325401815e-06,
|
| 310 |
+
"logits/chosen": 0.7754073143005371,
|
| 311 |
+
"logits/rejected": 0.8368635177612305,
|
| 312 |
+
"logps/chosen": -77.53565216064453,
|
| 313 |
+
"logps/rejected": -86.88373565673828,
|
| 314 |
+
"loss": 0.0098,
|
| 315 |
+
"rewards/accuracies": 0.30000001192092896,
|
| 316 |
+
"rewards/chosen": -0.0016312580555677414,
|
| 317 |
+
"rewards/margins": 0.002017855178564787,
|
| 318 |
+
"rewards/rejected": -0.0036491132341325283,
|
| 319 |
+
"step": 200
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.42,
|
| 323 |
+
"eval_logits/chosen": 0.79280686378479,
|
| 324 |
+
"eval_logits/rejected": 0.8107121586799622,
|
| 325 |
+
"eval_logps/chosen": -91.90320587158203,
|
| 326 |
+
"eval_logps/rejected": -94.51907348632812,
|
| 327 |
+
"eval_loss": 0.009800148196518421,
|
| 328 |
+
"eval_rewards/accuracies": 0.3059999942779541,
|
| 329 |
+
"eval_rewards/chosen": -0.0017583017470315099,
|
| 330 |
+
"eval_rewards/margins": 0.0014622843591496348,
|
| 331 |
+
"eval_rewards/rejected": -0.0032205861061811447,
|
| 332 |
+
"eval_runtime": 274.5029,
|
| 333 |
+
"eval_samples_per_second": 7.286,
|
| 334 |
+
"eval_steps_per_second": 0.455,
|
| 335 |
+
"step": 200
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.44,
|
| 339 |
+
"learning_rate": 4.785350472409792e-06,
|
| 340 |
+
"logits/chosen": 0.8355112075805664,
|
| 341 |
+
"logits/rejected": 0.8323017358779907,
|
| 342 |
+
"logps/chosen": -93.525146484375,
|
| 343 |
+
"logps/rejected": -86.69541931152344,
|
| 344 |
+
"loss": 0.0098,
|
| 345 |
+
"rewards/accuracies": 0.2750000059604645,
|
| 346 |
+
"rewards/chosen": -0.002141474513337016,
|
| 347 |
+
"rewards/margins": 0.0012898927088826895,
|
| 348 |
+
"rewards/rejected": -0.0034313672222197056,
|
| 349 |
+
"step": 210
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.46,
|
| 353 |
+
"learning_rate": 4.746717530629565e-06,
|
| 354 |
+
"logits/chosen": 0.7978548407554626,
|
| 355 |
+
"logits/rejected": 0.8422772288322449,
|
| 356 |
+
"logps/chosen": -100.98792266845703,
|
| 357 |
+
"logps/rejected": -95.15986633300781,
|
| 358 |
+
"loss": 0.0099,
|
| 359 |
+
"rewards/accuracies": 0.32499998807907104,
|
| 360 |
+
"rewards/chosen": -0.0021895477548241615,
|
| 361 |
+
"rewards/margins": 0.0018103765323758125,
|
| 362 |
+
"rewards/rejected": -0.003999924287199974,
|
| 363 |
+
"step": 220
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.48,
|
| 367 |
+
"learning_rate": 4.7050727958301505e-06,
|
| 368 |
+
"logits/chosen": 0.8680189251899719,
|
| 369 |
+
"logits/rejected": 0.8407084345817566,
|
| 370 |
+
"logps/chosen": -88.7295913696289,
|
| 371 |
+
"logps/rejected": -93.2841796875,
|
| 372 |
+
"loss": 0.0098,
|
| 373 |
+
"rewards/accuracies": 0.3687500059604645,
|
| 374 |
+
"rewards/chosen": -0.0033182327169924974,
|
| 375 |
+
"rewards/margins": 0.001298791728913784,
|
| 376 |
+
"rewards/rejected": -0.004617024213075638,
|
| 377 |
+
"step": 230
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.5,
|
| 381 |
+
"learning_rate": 4.660472094042121e-06,
|
| 382 |
+
"logits/chosen": 0.7951023578643799,
|
| 383 |
+
"logits/rejected": 0.8105288743972778,
|
| 384 |
+
"logps/chosen": -115.34117126464844,
|
| 385 |
+
"logps/rejected": -101.9451904296875,
|
| 386 |
+
"loss": 0.0095,
|
| 387 |
+
"rewards/accuracies": 0.34375,
|
| 388 |
+
"rewards/chosen": -0.002927349414676428,
|
| 389 |
+
"rewards/margins": 0.0025170063599944115,
|
| 390 |
+
"rewards/rejected": -0.005444356240332127,
|
| 391 |
+
"step": 240
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.52,
|
| 395 |
+
"learning_rate": 4.612975213859487e-06,
|
| 396 |
+
"logits/chosen": 0.7722874879837036,
|
| 397 |
+
"logits/rejected": 0.836758017539978,
|
| 398 |
+
"logps/chosen": -116.63499450683594,
|
| 399 |
+
"logps/rejected": -107.69172668457031,
|
| 400 |
+
"loss": 0.0097,
|
| 401 |
+
"rewards/accuracies": 0.38749998807907104,
|
| 402 |
+
"rewards/chosen": -0.002974079456180334,
|
| 403 |
+
"rewards/margins": 0.002990330569446087,
|
| 404 |
+
"rewards/rejected": -0.005964409559965134,
|
| 405 |
+
"step": 250
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.54,
|
| 409 |
+
"learning_rate": 4.5626458262912745e-06,
|
| 410 |
+
"logits/chosen": 0.7915774583816528,
|
| 411 |
+
"logits/rejected": 0.8718246221542358,
|
| 412 |
+
"logps/chosen": -99.33454132080078,
|
| 413 |
+
"logps/rejected": -88.96430969238281,
|
| 414 |
+
"loss": 0.0095,
|
| 415 |
+
"rewards/accuracies": 0.3125,
|
| 416 |
+
"rewards/chosen": -0.00338442693464458,
|
| 417 |
+
"rewards/margins": 0.00286421668715775,
|
| 418 |
+
"rewards/rejected": -0.006248644087463617,
|
| 419 |
+
"step": 260
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.57,
|
| 423 |
+
"learning_rate": 4.509551399408598e-06,
|
| 424 |
+
"logits/chosen": 0.886553168296814,
|
| 425 |
+
"logits/rejected": 0.9329681396484375,
|
| 426 |
+
"logps/chosen": -114.57804870605469,
|
| 427 |
+
"logps/rejected": -83.83116149902344,
|
| 428 |
+
"loss": 0.0095,
|
| 429 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 430 |
+
"rewards/chosen": -0.003462123218923807,
|
| 431 |
+
"rewards/margins": 0.003769775154069066,
|
| 432 |
+
"rewards/rejected": -0.007231898605823517,
|
| 433 |
+
"step": 270
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.59,
|
| 437 |
+
"learning_rate": 4.453763107901676e-06,
|
| 438 |
+
"logits/chosen": 0.8362187147140503,
|
| 439 |
+
"logits/rejected": 0.8351699113845825,
|
| 440 |
+
"logps/chosen": -121.24173736572266,
|
| 441 |
+
"logps/rejected": -109.759521484375,
|
| 442 |
+
"loss": 0.0095,
|
| 443 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 444 |
+
"rewards/chosen": -0.004291792865842581,
|
| 445 |
+
"rewards/margins": 0.0028506286907941103,
|
| 446 |
+
"rewards/rejected": -0.007142421789467335,
|
| 447 |
+
"step": 280
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.61,
|
| 451 |
+
"learning_rate": 4.3953557376679856e-06,
|
| 452 |
+
"logits/chosen": 0.820317268371582,
|
| 453 |
+
"logits/rejected": 0.8414691686630249,
|
| 454 |
+
"logps/chosen": -95.08177185058594,
|
| 455 |
+
"logps/rejected": -92.17173767089844,
|
| 456 |
+
"loss": 0.0096,
|
| 457 |
+
"rewards/accuracies": 0.3499999940395355,
|
| 458 |
+
"rewards/chosen": -0.006106963846832514,
|
| 459 |
+
"rewards/margins": 0.0012445768807083368,
|
| 460 |
+
"rewards/rejected": -0.007351540960371494,
|
| 461 |
+
"step": 290
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.63,
|
| 465 |
+
"learning_rate": 4.33440758555951e-06,
|
| 466 |
+
"logits/chosen": 0.7827913165092468,
|
| 467 |
+
"logits/rejected": 0.8337699174880981,
|
| 468 |
+
"logps/chosen": -79.63487243652344,
|
| 469 |
+
"logps/rejected": -88.0806884765625,
|
| 470 |
+
"loss": 0.0095,
|
| 471 |
+
"rewards/accuracies": 0.32499998807907104,
|
| 472 |
+
"rewards/chosen": -0.0031589865684509277,
|
| 473 |
+
"rewards/margins": 0.0048677194863557816,
|
| 474 |
+
"rewards/rejected": -0.00802670605480671,
|
| 475 |
+
"step": 300
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.63,
|
| 479 |
+
"eval_logits/chosen": 0.7800281643867493,
|
| 480 |
+
"eval_logits/rejected": 0.7981991171836853,
|
| 481 |
+
"eval_logps/chosen": -92.30917358398438,
|
| 482 |
+
"eval_logps/rejected": -95.08193969726562,
|
| 483 |
+
"eval_loss": 0.009581359103322029,
|
| 484 |
+
"eval_rewards/accuracies": 0.3059999942779541,
|
| 485 |
+
"eval_rewards/chosen": -0.005818030331283808,
|
| 486 |
+
"eval_rewards/margins": 0.0030311874579638243,
|
| 487 |
+
"eval_rewards/rejected": -0.008849218487739563,
|
| 488 |
+
"eval_runtime": 274.4906,
|
| 489 |
+
"eval_samples_per_second": 7.286,
|
| 490 |
+
"eval_steps_per_second": 0.455,
|
| 491 |
+
"step": 300
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 0.65,
|
| 495 |
+
"learning_rate": 4.2710003544234255e-06,
|
| 496 |
+
"logits/chosen": 0.7880622744560242,
|
| 497 |
+
"logits/rejected": 0.8204299211502075,
|
| 498 |
+
"logps/chosen": -86.09496307373047,
|
| 499 |
+
"logps/rejected": -87.77622985839844,
|
| 500 |
+
"loss": 0.0095,
|
| 501 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 502 |
+
"rewards/chosen": -0.006854506675153971,
|
| 503 |
+
"rewards/margins": 0.0034410678781569004,
|
| 504 |
+
"rewards/rejected": -0.010295574553310871,
|
| 505 |
+
"step": 310
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.67,
|
| 509 |
+
"learning_rate": 4.205219043576955e-06,
|
| 510 |
+
"logits/chosen": 0.7853392958641052,
|
| 511 |
+
"logits/rejected": 0.8362796902656555,
|
| 512 |
+
"logps/chosen": -88.15892028808594,
|
| 513 |
+
"logps/rejected": -91.532470703125,
|
| 514 |
+
"loss": 0.0096,
|
| 515 |
+
"rewards/accuracies": 0.375,
|
| 516 |
+
"rewards/chosen": -0.0067759170196950436,
|
| 517 |
+
"rewards/margins": 0.003778536571189761,
|
| 518 |
+
"rewards/rejected": -0.010554454289376736,
|
| 519 |
+
"step": 320
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.69,
|
| 523 |
+
"learning_rate": 4.137151834863213e-06,
|
| 524 |
+
"logits/chosen": 0.7346684336662292,
|
| 525 |
+
"logits/rejected": 0.7727020382881165,
|
| 526 |
+
"logps/chosen": -101.71944427490234,
|
| 527 |
+
"logps/rejected": -102.30587005615234,
|
| 528 |
+
"loss": 0.0095,
|
| 529 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 530 |
+
"rewards/chosen": -0.007574302610009909,
|
| 531 |
+
"rewards/margins": 0.004506202414631844,
|
| 532 |
+
"rewards/rejected": -0.012080504558980465,
|
| 533 |
+
"step": 330
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.71,
|
| 537 |
+
"learning_rate": 4.066889974440757e-06,
|
| 538 |
+
"logits/chosen": 0.7809281945228577,
|
| 539 |
+
"logits/rejected": 0.8105946779251099,
|
| 540 |
+
"logps/chosen": -83.26361846923828,
|
| 541 |
+
"logps/rejected": -73.31196594238281,
|
| 542 |
+
"loss": 0.0093,
|
| 543 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 544 |
+
"rewards/chosen": -0.004678535740822554,
|
| 545 |
+
"rewards/margins": 0.005057544447481632,
|
| 546 |
+
"rewards/rejected": -0.009736080653965473,
|
| 547 |
+
"step": 340
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 0.73,
|
| 551 |
+
"learning_rate": 3.994527650465352e-06,
|
| 552 |
+
"logits/chosen": 0.8511131405830383,
|
| 553 |
+
"logits/rejected": 0.8692939877510071,
|
| 554 |
+
"logps/chosen": -89.02024841308594,
|
| 555 |
+
"logps/rejected": -83.25767517089844,
|
| 556 |
+
"loss": 0.0093,
|
| 557 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 558 |
+
"rewards/chosen": -0.009549392387270927,
|
| 559 |
+
"rewards/margins": 0.004139441065490246,
|
| 560 |
+
"rewards/rejected": -0.013688832521438599,
|
| 561 |
+
"step": 350
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.75,
|
| 565 |
+
"learning_rate": 3.92016186682789e-06,
|
| 566 |
+
"logits/chosen": 0.7794450521469116,
|
| 567 |
+
"logits/rejected": 0.7929707765579224,
|
| 568 |
+
"logps/chosen": -95.35264587402344,
|
| 569 |
+
"logps/rejected": -99.0013198852539,
|
| 570 |
+
"loss": 0.0093,
|
| 571 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 572 |
+
"rewards/chosen": -0.009752290323376656,
|
| 573 |
+
"rewards/margins": 0.005257262382656336,
|
| 574 |
+
"rewards/rejected": -0.015009550377726555,
|
| 575 |
+
"step": 360
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 0.77,
|
| 579 |
+
"learning_rate": 3.843892313117724e-06,
|
| 580 |
+
"logits/chosen": 0.8562378883361816,
|
| 581 |
+
"logits/rejected": 0.8364348411560059,
|
| 582 |
+
"logps/chosen": -108.0776596069336,
|
| 583 |
+
"logps/rejected": -104.81854248046875,
|
| 584 |
+
"loss": 0.0095,
|
| 585 |
+
"rewards/accuracies": 0.3687500059604645,
|
| 586 |
+
"rewards/chosen": -0.008355715312063694,
|
| 587 |
+
"rewards/margins": 0.0053038811311125755,
|
| 588 |
+
"rewards/rejected": -0.01365959644317627,
|
| 589 |
+
"step": 370
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 0.8,
|
| 593 |
+
"learning_rate": 3.7658212309857576e-06,
|
| 594 |
+
"logits/chosen": 0.7989660501480103,
|
| 595 |
+
"logits/rejected": 0.8410453796386719,
|
| 596 |
+
"logps/chosen": -102.3397216796875,
|
| 597 |
+
"logps/rejected": -88.8924789428711,
|
| 598 |
+
"loss": 0.0091,
|
| 599 |
+
"rewards/accuracies": 0.3812499940395355,
|
| 600 |
+
"rewards/chosen": -0.008961253799498081,
|
| 601 |
+
"rewards/margins": 0.006044700741767883,
|
| 602 |
+
"rewards/rejected": -0.015005955472588539,
|
| 603 |
+
"step": 380
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 0.82,
|
| 607 |
+
"learning_rate": 3.686053277086401e-06,
|
| 608 |
+
"logits/chosen": 0.7839023470878601,
|
| 609 |
+
"logits/rejected": 0.8361980319023132,
|
| 610 |
+
"logps/chosen": -110.81888580322266,
|
| 611 |
+
"logps/rejected": -100.21189880371094,
|
| 612 |
+
"loss": 0.0091,
|
| 613 |
+
"rewards/accuracies": 0.39375001192092896,
|
| 614 |
+
"rewards/chosen": -0.007862605154514313,
|
| 615 |
+
"rewards/margins": 0.007173668593168259,
|
| 616 |
+
"rewards/rejected": -0.015036274679005146,
|
| 617 |
+
"step": 390
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.84,
|
| 621 |
+
"learning_rate": 3.604695382782159e-06,
|
| 622 |
+
"logits/chosen": 0.7966210246086121,
|
| 623 |
+
"logits/rejected": 0.82738196849823,
|
| 624 |
+
"logps/chosen": -100.70481872558594,
|
| 625 |
+
"logps/rejected": -103.6056137084961,
|
| 626 |
+
"loss": 0.0091,
|
| 627 |
+
"rewards/accuracies": 0.34375,
|
| 628 |
+
"rewards/chosen": -0.01019311510026455,
|
| 629 |
+
"rewards/margins": 0.006234516389667988,
|
| 630 |
+
"rewards/rejected": -0.01642763242125511,
|
| 631 |
+
"step": 400
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.84,
|
| 635 |
+
"eval_logits/chosen": 0.7564685344696045,
|
| 636 |
+
"eval_logits/rejected": 0.7753021121025085,
|
| 637 |
+
"eval_logps/chosen": -92.824951171875,
|
| 638 |
+
"eval_logps/rejected": -95.7641830444336,
|
| 639 |
+
"eval_loss": 0.009432977996766567,
|
| 640 |
+
"eval_rewards/accuracies": 0.33399999141693115,
|
| 641 |
+
"eval_rewards/chosen": -0.010975906625390053,
|
| 642 |
+
"eval_rewards/margins": 0.004695890471339226,
|
| 643 |
+
"eval_rewards/rejected": -0.01567179709672928,
|
| 644 |
+
"eval_runtime": 274.283,
|
| 645 |
+
"eval_samples_per_second": 7.292,
|
| 646 |
+
"eval_steps_per_second": 0.456,
|
| 647 |
+
"step": 400
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.86,
|
| 651 |
+
"learning_rate": 3.5218566107988872e-06,
|
| 652 |
+
"logits/chosen": 0.7925983667373657,
|
| 653 |
+
"logits/rejected": 0.7887567281723022,
|
| 654 |
+
"logps/chosen": -96.2036361694336,
|
| 655 |
+
"logps/rejected": -81.12339782714844,
|
| 656 |
+
"loss": 0.0095,
|
| 657 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 658 |
+
"rewards/chosen": -0.011769723147153854,
|
| 659 |
+
"rewards/margins": 0.004597696475684643,
|
| 660 |
+
"rewards/rejected": -0.016367420554161072,
|
| 661 |
+
"step": 410
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.88,
|
| 665 |
+
"learning_rate": 3.437648009023905e-06,
|
| 666 |
+
"logits/chosen": 0.7313151359558105,
|
| 667 |
+
"logits/rejected": 0.791450560092926,
|
| 668 |
+
"logps/chosen": -96.06840515136719,
|
| 669 |
+
"logps/rejected": -98.45843505859375,
|
| 670 |
+
"loss": 0.0095,
|
| 671 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 672 |
+
"rewards/chosen": -0.012706448324024677,
|
| 673 |
+
"rewards/margins": 0.004676566459238529,
|
| 674 |
+
"rewards/rejected": -0.017383014783263206,
|
| 675 |
+
"step": 420
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.9,
|
| 679 |
+
"learning_rate": 3.352182461642929e-06,
|
| 680 |
+
"logits/chosen": 0.836865246295929,
|
| 681 |
+
"logits/rejected": 0.8605507612228394,
|
| 682 |
+
"logps/chosen": -83.78216552734375,
|
| 683 |
+
"logps/rejected": -90.726806640625,
|
| 684 |
+
"loss": 0.0095,
|
| 685 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 686 |
+
"rewards/chosen": -0.010321888141334057,
|
| 687 |
+
"rewards/margins": 0.0064377314411103725,
|
| 688 |
+
"rewards/rejected": -0.01675962097942829,
|
| 689 |
+
"step": 430
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.92,
|
| 693 |
+
"learning_rate": 3.265574537815398e-06,
|
| 694 |
+
"logits/chosen": 0.7546414136886597,
|
| 695 |
+
"logits/rejected": 0.8063668012619019,
|
| 696 |
+
"logps/chosen": -110.22758483886719,
|
| 697 |
+
"logps/rejected": -82.65476989746094,
|
| 698 |
+
"loss": 0.0094,
|
| 699 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 700 |
+
"rewards/chosen": -0.009618332609534264,
|
| 701 |
+
"rewards/margins": 0.007489732000976801,
|
| 702 |
+
"rewards/rejected": -0.017108064144849777,
|
| 703 |
+
"step": 440
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.94,
|
| 707 |
+
"learning_rate": 3.177940338091043e-06,
|
| 708 |
+
"logits/chosen": 0.7461640238761902,
|
| 709 |
+
"logits/rejected": 0.8213142156600952,
|
| 710 |
+
"logps/chosen": -81.55519104003906,
|
| 711 |
+
"logps/rejected": -72.42239379882812,
|
| 712 |
+
"loss": 0.0093,
|
| 713 |
+
"rewards/accuracies": 0.3125,
|
| 714 |
+
"rewards/chosen": -0.009043378755450249,
|
| 715 |
+
"rewards/margins": 0.005746514070779085,
|
| 716 |
+
"rewards/rejected": -0.014789892360568047,
|
| 717 |
+
"step": 450
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.96,
|
| 721 |
+
"learning_rate": 3.089397338773569e-06,
|
| 722 |
+
"logits/chosen": 0.7719414830207825,
|
| 723 |
+
"logits/rejected": 0.8252090215682983,
|
| 724 |
+
"logps/chosen": -106.2469482421875,
|
| 725 |
+
"logps/rejected": -88.18677520751953,
|
| 726 |
+
"loss": 0.0092,
|
| 727 |
+
"rewards/accuracies": 0.3187499940395355,
|
| 728 |
+
"rewards/chosen": -0.009636683389544487,
|
| 729 |
+
"rewards/margins": 0.008729028515517712,
|
| 730 |
+
"rewards/rejected": -0.018365712836384773,
|
| 731 |
+
"step": 460
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.98,
|
| 735 |
+
"learning_rate": 3.0000642344401115e-06,
|
| 736 |
+
"logits/chosen": 0.8243037462234497,
|
| 737 |
+
"logits/rejected": 0.8203719854354858,
|
| 738 |
+
"logps/chosen": -116.20052337646484,
|
| 739 |
+
"logps/rejected": -111.63053131103516,
|
| 740 |
+
"loss": 0.0091,
|
| 741 |
+
"rewards/accuracies": 0.39375001192092896,
|
| 742 |
+
"rewards/chosen": -0.01138549018651247,
|
| 743 |
+
"rewards/margins": 0.00896347127854824,
|
| 744 |
+
"rewards/rejected": -0.020348962396383286,
|
| 745 |
+
"step": 470
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.0,
|
| 749 |
+
"learning_rate": 2.9100607788275547e-06,
|
| 750 |
+
"logits/chosen": 0.8390713930130005,
|
| 751 |
+
"logits/rejected": 0.8485578298568726,
|
| 752 |
+
"logps/chosen": -76.21663665771484,
|
| 753 |
+
"logps/rejected": -66.13563537597656,
|
| 754 |
+
"loss": 0.0095,
|
| 755 |
+
"rewards/accuracies": 0.26249998807907104,
|
| 756 |
+
"rewards/chosen": -0.011686747893691063,
|
| 757 |
+
"rewards/margins": 0.003907538950443268,
|
| 758 |
+
"rewards/rejected": -0.01559428684413433,
|
| 759 |
+
"step": 480
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.03,
|
| 763 |
+
"learning_rate": 2.8195076242990124e-06,
|
| 764 |
+
"logits/chosen": 0.781129777431488,
|
| 765 |
+
"logits/rejected": 0.8074111938476562,
|
| 766 |
+
"logps/chosen": -93.35603332519531,
|
| 767 |
+
"logps/rejected": -100.03508758544922,
|
| 768 |
+
"loss": 0.0093,
|
| 769 |
+
"rewards/accuracies": 0.375,
|
| 770 |
+
"rewards/chosen": -0.014726340770721436,
|
| 771 |
+
"rewards/margins": 0.004594289697706699,
|
| 772 |
+
"rewards/rejected": -0.01932062767446041,
|
| 773 |
+
"step": 490
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.05,
|
| 777 |
+
"learning_rate": 2.72852616010567e-06,
|
| 778 |
+
"logits/chosen": 0.8007243871688843,
|
| 779 |
+
"logits/rejected": 0.7850581407546997,
|
| 780 |
+
"logps/chosen": -102.482177734375,
|
| 781 |
+
"logps/rejected": -102.58174133300781,
|
| 782 |
+
"loss": 0.0094,
|
| 783 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 784 |
+
"rewards/chosen": -0.012946246191859245,
|
| 785 |
+
"rewards/margins": 0.009540179744362831,
|
| 786 |
+
"rewards/rejected": -0.022486427798867226,
|
| 787 |
+
"step": 500
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.05,
|
| 791 |
+
"eval_logits/chosen": 0.7492075562477112,
|
| 792 |
+
"eval_logits/rejected": 0.7678821682929993,
|
| 793 |
+
"eval_logps/chosen": -93.04632568359375,
|
| 794 |
+
"eval_logps/rejected": -96.11502838134766,
|
| 795 |
+
"eval_loss": 0.009345741011202335,
|
| 796 |
+
"eval_rewards/accuracies": 0.3400000035762787,
|
| 797 |
+
"eval_rewards/chosen": -0.013189575634896755,
|
| 798 |
+
"eval_rewards/margins": 0.0059906188398599625,
|
| 799 |
+
"eval_rewards/rejected": -0.019180195406079292,
|
| 800 |
+
"eval_runtime": 272.2568,
|
| 801 |
+
"eval_samples_per_second": 7.346,
|
| 802 |
+
"eval_steps_per_second": 0.459,
|
| 803 |
+
"step": 500
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 1.07,
|
| 807 |
+
"learning_rate": 2.637238349660819e-06,
|
| 808 |
+
"logits/chosen": 0.8036779165267944,
|
| 809 |
+
"logits/rejected": 0.8043034672737122,
|
| 810 |
+
"logps/chosen": -92.55281066894531,
|
| 811 |
+
"logps/rejected": -90.49037170410156,
|
| 812 |
+
"loss": 0.0091,
|
| 813 |
+
"rewards/accuracies": 0.34375,
|
| 814 |
+
"rewards/chosen": -0.014594177715480328,
|
| 815 |
+
"rewards/margins": 0.005402697250247002,
|
| 816 |
+
"rewards/rejected": -0.019996874034404755,
|
| 817 |
+
"step": 510
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 1.09,
|
| 821 |
+
"learning_rate": 2.5457665670441937e-06,
|
| 822 |
+
"logits/chosen": 0.8009434938430786,
|
| 823 |
+
"logits/rejected": 0.8440135717391968,
|
| 824 |
+
"logps/chosen": -103.445068359375,
|
| 825 |
+
"logps/rejected": -94.67227935791016,
|
| 826 |
+
"loss": 0.0091,
|
| 827 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 828 |
+
"rewards/chosen": -0.012103055603802204,
|
| 829 |
+
"rewards/margins": 0.008832341991364956,
|
| 830 |
+
"rewards/rejected": -0.02093539759516716,
|
| 831 |
+
"step": 520
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 1.11,
|
| 835 |
+
"learning_rate": 2.4542334329558075e-06,
|
| 836 |
+
"logits/chosen": 0.7876957058906555,
|
| 837 |
+
"logits/rejected": 0.8697893023490906,
|
| 838 |
+
"logps/chosen": -108.23606872558594,
|
| 839 |
+
"logps/rejected": -90.39962768554688,
|
| 840 |
+
"loss": 0.0093,
|
| 841 |
+
"rewards/accuracies": 0.3812499940395355,
|
| 842 |
+
"rewards/chosen": -0.012823512777686119,
|
| 843 |
+
"rewards/margins": 0.00771692767739296,
|
| 844 |
+
"rewards/rejected": -0.02054044045507908,
|
| 845 |
+
"step": 530
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 1.13,
|
| 849 |
+
"learning_rate": 2.3627616503391813e-06,
|
| 850 |
+
"logits/chosen": 0.7362729907035828,
|
| 851 |
+
"logits/rejected": 0.7685662508010864,
|
| 852 |
+
"logps/chosen": -103.24140930175781,
|
| 853 |
+
"logps/rejected": -88.57923889160156,
|
| 854 |
+
"loss": 0.0092,
|
| 855 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 856 |
+
"rewards/chosen": -0.013577492907643318,
|
| 857 |
+
"rewards/margins": 0.006500400602817535,
|
| 858 |
+
"rewards/rejected": -0.020077891647815704,
|
| 859 |
+
"step": 540
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 1.15,
|
| 863 |
+
"learning_rate": 2.271473839894331e-06,
|
| 864 |
+
"logits/chosen": 0.727995753288269,
|
| 865 |
+
"logits/rejected": 0.7580054402351379,
|
| 866 |
+
"logps/chosen": -92.93126678466797,
|
| 867 |
+
"logps/rejected": -84.96773529052734,
|
| 868 |
+
"loss": 0.0093,
|
| 869 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 870 |
+
"rewards/chosen": -0.012479904107749462,
|
| 871 |
+
"rewards/margins": 0.006294636521488428,
|
| 872 |
+
"rewards/rejected": -0.018774541094899178,
|
| 873 |
+
"step": 550
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 1.17,
|
| 877 |
+
"learning_rate": 2.1804923757009885e-06,
|
| 878 |
+
"logits/chosen": 0.7571858167648315,
|
| 879 |
+
"logits/rejected": 0.8027281761169434,
|
| 880 |
+
"logps/chosen": -117.69078063964844,
|
| 881 |
+
"logps/rejected": -117.47624206542969,
|
| 882 |
+
"loss": 0.0091,
|
| 883 |
+
"rewards/accuracies": 0.4124999940395355,
|
| 884 |
+
"rewards/chosen": -0.014920057728886604,
|
| 885 |
+
"rewards/margins": 0.00889978464692831,
|
| 886 |
+
"rewards/rejected": -0.02381983958184719,
|
| 887 |
+
"step": 560
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 1.19,
|
| 891 |
+
"learning_rate": 2.089939221172446e-06,
|
| 892 |
+
"logits/chosen": 0.7476423382759094,
|
| 893 |
+
"logits/rejected": 0.7867797017097473,
|
| 894 |
+
"logps/chosen": -96.03732299804688,
|
| 895 |
+
"logps/rejected": -93.63196563720703,
|
| 896 |
+
"loss": 0.0094,
|
| 897 |
+
"rewards/accuracies": 0.36250001192092896,
|
| 898 |
+
"rewards/chosen": -0.014638627879321575,
|
| 899 |
+
"rewards/margins": 0.007565396372228861,
|
| 900 |
+
"rewards/rejected": -0.022204022854566574,
|
| 901 |
+
"step": 570
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 1.21,
|
| 905 |
+
"learning_rate": 1.9999357655598894e-06,
|
| 906 |
+
"logits/chosen": 0.7799301147460938,
|
| 907 |
+
"logits/rejected": 0.7575241327285767,
|
| 908 |
+
"logps/chosen": -106.30534362792969,
|
| 909 |
+
"logps/rejected": -101.278564453125,
|
| 910 |
+
"loss": 0.0095,
|
| 911 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 912 |
+
"rewards/chosen": -0.015909461304545403,
|
| 913 |
+
"rewards/margins": 0.0034894272685050964,
|
| 914 |
+
"rewards/rejected": -0.01939888671040535,
|
| 915 |
+
"step": 580
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 1.23,
|
| 919 |
+
"learning_rate": 1.9106026612264316e-06,
|
| 920 |
+
"logits/chosen": 0.8206084370613098,
|
| 921 |
+
"logits/rejected": 0.8035517930984497,
|
| 922 |
+
"logps/chosen": -82.16791534423828,
|
| 923 |
+
"logps/rejected": -81.92047882080078,
|
| 924 |
+
"loss": 0.0091,
|
| 925 |
+
"rewards/accuracies": 0.32499998807907104,
|
| 926 |
+
"rewards/chosen": -0.015170453116297722,
|
| 927 |
+
"rewards/margins": 0.006062434054911137,
|
| 928 |
+
"rewards/rejected": -0.021232888102531433,
|
| 929 |
+
"step": 590
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 1.26,
|
| 933 |
+
"learning_rate": 1.8220596619089576e-06,
|
| 934 |
+
"logits/chosen": 0.7637159824371338,
|
| 935 |
+
"logits/rejected": 0.7464240789413452,
|
| 936 |
+
"logps/chosen": -107.59675598144531,
|
| 937 |
+
"logps/rejected": -108.54317474365234,
|
| 938 |
+
"loss": 0.0093,
|
| 939 |
+
"rewards/accuracies": 0.38749998807907104,
|
| 940 |
+
"rewards/chosen": -0.016024868935346603,
|
| 941 |
+
"rewards/margins": 0.006444328930228949,
|
| 942 |
+
"rewards/rejected": -0.02246919646859169,
|
| 943 |
+
"step": 600
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 1.26,
|
| 947 |
+
"eval_logits/chosen": 0.7382512092590332,
|
| 948 |
+
"eval_logits/rejected": 0.7577717900276184,
|
| 949 |
+
"eval_logps/chosen": -93.16767120361328,
|
| 950 |
+
"eval_logps/rejected": -96.26305389404297,
|
| 951 |
+
"eval_loss": 0.00932270660996437,
|
| 952 |
+
"eval_rewards/accuracies": 0.3440000116825104,
|
| 953 |
+
"eval_rewards/chosen": -0.014403086155653,
|
| 954 |
+
"eval_rewards/margins": 0.006257344502955675,
|
| 955 |
+
"eval_rewards/rejected": -0.020660430192947388,
|
| 956 |
+
"eval_runtime": 272.2545,
|
| 957 |
+
"eval_samples_per_second": 7.346,
|
| 958 |
+
"eval_steps_per_second": 0.459,
|
| 959 |
+
"step": 600
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 1.28,
|
| 963 |
+
"learning_rate": 1.7344254621846018e-06,
|
| 964 |
+
"logits/chosen": 0.7539538145065308,
|
| 965 |
+
"logits/rejected": 0.773404598236084,
|
| 966 |
+
"logps/chosen": -114.31193542480469,
|
| 967 |
+
"logps/rejected": -104.0637435913086,
|
| 968 |
+
"loss": 0.0091,
|
| 969 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 970 |
+
"rewards/chosen": -0.013692615553736687,
|
| 971 |
+
"rewards/margins": 0.007563846651464701,
|
| 972 |
+
"rewards/rejected": -0.02125646360218525,
|
| 973 |
+
"step": 610
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 1.3,
|
| 977 |
+
"learning_rate": 1.647817538357072e-06,
|
| 978 |
+
"logits/chosen": 0.7876811027526855,
|
| 979 |
+
"logits/rejected": 0.8452059626579285,
|
| 980 |
+
"logps/chosen": -104.75425720214844,
|
| 981 |
+
"logps/rejected": -99.91309356689453,
|
| 982 |
+
"loss": 0.0092,
|
| 983 |
+
"rewards/accuracies": 0.38749998807907104,
|
| 984 |
+
"rewards/chosen": -0.016282986849546432,
|
| 985 |
+
"rewards/margins": 0.007685069926083088,
|
| 986 |
+
"rewards/rejected": -0.023968055844306946,
|
| 987 |
+
"step": 620
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 1.32,
|
| 991 |
+
"learning_rate": 1.5623519909760953e-06,
|
| 992 |
+
"logits/chosen": 0.7141858339309692,
|
| 993 |
+
"logits/rejected": 0.7543732523918152,
|
| 994 |
+
"logps/chosen": -94.53080749511719,
|
| 995 |
+
"logps/rejected": -90.2872085571289,
|
| 996 |
+
"loss": 0.0091,
|
| 997 |
+
"rewards/accuracies": 0.3125,
|
| 998 |
+
"rewards/chosen": -0.014917632564902306,
|
| 999 |
+
"rewards/margins": 0.005212970077991486,
|
| 1000 |
+
"rewards/rejected": -0.02013060264289379,
|
| 1001 |
+
"step": 630
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 1.34,
|
| 1005 |
+
"learning_rate": 1.4781433892011132e-06,
|
| 1006 |
+
"logits/chosen": 0.7889922261238098,
|
| 1007 |
+
"logits/rejected": 0.8183968663215637,
|
| 1008 |
+
"logps/chosen": -90.72172546386719,
|
| 1009 |
+
"logps/rejected": -97.16673278808594,
|
| 1010 |
+
"loss": 0.0091,
|
| 1011 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 1012 |
+
"rewards/chosen": -0.013522952795028687,
|
| 1013 |
+
"rewards/margins": 0.00625986885279417,
|
| 1014 |
+
"rewards/rejected": -0.019782820716500282,
|
| 1015 |
+
"step": 640
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 1.36,
|
| 1019 |
+
"learning_rate": 1.3953046172178413e-06,
|
| 1020 |
+
"logits/chosen": 0.7950395345687866,
|
| 1021 |
+
"logits/rejected": 0.851498007774353,
|
| 1022 |
+
"logps/chosen": -101.07930755615234,
|
| 1023 |
+
"logps/rejected": -114.48579406738281,
|
| 1024 |
+
"loss": 0.0093,
|
| 1025 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 1026 |
+
"rewards/chosen": -0.016296306625008583,
|
| 1027 |
+
"rewards/margins": 0.008597773499786854,
|
| 1028 |
+
"rewards/rejected": -0.024894079193472862,
|
| 1029 |
+
"step": 650
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 1.38,
|
| 1033 |
+
"learning_rate": 1.3139467229135999e-06,
|
| 1034 |
+
"logits/chosen": 0.7387314438819885,
|
| 1035 |
+
"logits/rejected": 0.7517582178115845,
|
| 1036 |
+
"logps/chosen": -80.6947250366211,
|
| 1037 |
+
"logps/rejected": -86.94942474365234,
|
| 1038 |
+
"loss": 0.0089,
|
| 1039 |
+
"rewards/accuracies": 0.3812499940395355,
|
| 1040 |
+
"rewards/chosen": -0.01321180909872055,
|
| 1041 |
+
"rewards/margins": 0.0073172166012227535,
|
| 1042 |
+
"rewards/rejected": -0.02052902616560459,
|
| 1043 |
+
"step": 660
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 1.4,
|
| 1047 |
+
"learning_rate": 1.2341787690142436e-06,
|
| 1048 |
+
"logits/chosen": 0.6672351956367493,
|
| 1049 |
+
"logits/rejected": 0.6918442249298096,
|
| 1050 |
+
"logps/chosen": -115.32958984375,
|
| 1051 |
+
"logps/rejected": -96.97526550292969,
|
| 1052 |
+
"loss": 0.0094,
|
| 1053 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 1054 |
+
"rewards/chosen": -0.014516430906951427,
|
| 1055 |
+
"rewards/margins": 0.009004795923829079,
|
| 1056 |
+
"rewards/rejected": -0.02352122589945793,
|
| 1057 |
+
"step": 670
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 1.42,
|
| 1061 |
+
"learning_rate": 1.1561076868822756e-06,
|
| 1062 |
+
"logits/chosen": 0.6968938708305359,
|
| 1063 |
+
"logits/rejected": 0.728511393070221,
|
| 1064 |
+
"logps/chosen": -76.32088470458984,
|
| 1065 |
+
"logps/rejected": -81.96578979492188,
|
| 1066 |
+
"loss": 0.0092,
|
| 1067 |
+
"rewards/accuracies": 0.34375,
|
| 1068 |
+
"rewards/chosen": -0.015820499509572983,
|
| 1069 |
+
"rewards/margins": 0.004979898687452078,
|
| 1070 |
+
"rewards/rejected": -0.0208003968000412,
|
| 1071 |
+
"step": 680
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 1.44,
|
| 1075 |
+
"learning_rate": 1.079838133172111e-06,
|
| 1076 |
+
"logits/chosen": 0.7537049055099487,
|
| 1077 |
+
"logits/rejected": 0.8117996454238892,
|
| 1078 |
+
"logps/chosen": -94.59342956542969,
|
| 1079 |
+
"logps/rejected": -80.20372009277344,
|
| 1080 |
+
"loss": 0.0093,
|
| 1081 |
+
"rewards/accuracies": 0.3499999940395355,
|
| 1082 |
+
"rewards/chosen": -0.014598280191421509,
|
| 1083 |
+
"rewards/margins": 0.008172960951924324,
|
| 1084 |
+
"rewards/rejected": -0.022771239280700684,
|
| 1085 |
+
"step": 690
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 1.47,
|
| 1089 |
+
"learning_rate": 1.0054723495346484e-06,
|
| 1090 |
+
"logits/chosen": 0.7987161874771118,
|
| 1091 |
+
"logits/rejected": 0.8007674217224121,
|
| 1092 |
+
"logps/chosen": -105.23921203613281,
|
| 1093 |
+
"logps/rejected": -97.75834655761719,
|
| 1094 |
+
"loss": 0.009,
|
| 1095 |
+
"rewards/accuracies": 0.375,
|
| 1096 |
+
"rewards/chosen": -0.017922451719641685,
|
| 1097 |
+
"rewards/margins": 0.008403345942497253,
|
| 1098 |
+
"rewards/rejected": -0.026325801387429237,
|
| 1099 |
+
"step": 700
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 1.47,
|
| 1103 |
+
"eval_logits/chosen": 0.7355116009712219,
|
| 1104 |
+
"eval_logits/rejected": 0.7544857859611511,
|
| 1105 |
+
"eval_logps/chosen": -93.24905395507812,
|
| 1106 |
+
"eval_logps/rejected": -96.31977844238281,
|
| 1107 |
+
"eval_loss": 0.009318255819380283,
|
| 1108 |
+
"eval_rewards/accuracies": 0.3479999899864197,
|
| 1109 |
+
"eval_rewards/chosen": -0.015216803178191185,
|
| 1110 |
+
"eval_rewards/margins": 0.006010868586599827,
|
| 1111 |
+
"eval_rewards/rejected": -0.021227672696113586,
|
| 1112 |
+
"eval_runtime": 272.5589,
|
| 1113 |
+
"eval_samples_per_second": 7.338,
|
| 1114 |
+
"eval_steps_per_second": 0.459,
|
| 1115 |
+
"step": 700
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 1.49,
|
| 1119 |
+
"learning_rate": 9.331100255592437e-07,
|
| 1120 |
+
"logits/chosen": 0.7550870180130005,
|
| 1121 |
+
"logits/rejected": 0.8333718180656433,
|
| 1122 |
+
"logps/chosen": -88.22233581542969,
|
| 1123 |
+
"logps/rejected": -81.27799224853516,
|
| 1124 |
+
"loss": 0.0091,
|
| 1125 |
+
"rewards/accuracies": 0.33125001192092896,
|
| 1126 |
+
"rewards/chosen": -0.01261846162378788,
|
| 1127 |
+
"rewards/margins": 0.007095014210790396,
|
| 1128 |
+
"rewards/rejected": -0.019713478162884712,
|
| 1129 |
+
"step": 710
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 1.51,
|
| 1133 |
+
"learning_rate": 8.628481651367876e-07,
|
| 1134 |
+
"logits/chosen": 0.7663224339485168,
|
| 1135 |
+
"logits/rejected": 0.8483554720878601,
|
| 1136 |
+
"logps/chosen": -112.94798278808594,
|
| 1137 |
+
"logps/rejected": -100.04948425292969,
|
| 1138 |
+
"loss": 0.0091,
|
| 1139 |
+
"rewards/accuracies": 0.375,
|
| 1140 |
+
"rewards/chosen": -0.014603344723582268,
|
| 1141 |
+
"rewards/margins": 0.008872651495039463,
|
| 1142 |
+
"rewards/rejected": -0.023475993424654007,
|
| 1143 |
+
"step": 720
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 1.53,
|
| 1147 |
+
"learning_rate": 7.947809564230446e-07,
|
| 1148 |
+
"logits/chosen": 0.7916958928108215,
|
| 1149 |
+
"logits/rejected": 0.8508380651473999,
|
| 1150 |
+
"logps/chosen": -96.55794525146484,
|
| 1151 |
+
"logps/rejected": -95.86845397949219,
|
| 1152 |
+
"loss": 0.0092,
|
| 1153 |
+
"rewards/accuracies": 0.4124999940395355,
|
| 1154 |
+
"rewards/chosen": -0.017020542174577713,
|
| 1155 |
+
"rewards/margins": 0.006455309689044952,
|
| 1156 |
+
"rewards/rejected": -0.023475851863622665,
|
| 1157 |
+
"step": 730
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 1.55,
|
| 1161 |
+
"learning_rate": 7.289996455765749e-07,
|
| 1162 |
+
"logits/chosen": 0.716216504573822,
|
| 1163 |
+
"logits/rejected": 0.7626134157180786,
|
| 1164 |
+
"logps/chosen": -87.54243469238281,
|
| 1165 |
+
"logps/rejected": -81.1460952758789,
|
| 1166 |
+
"loss": 0.0094,
|
| 1167 |
+
"rewards/accuracies": 0.28125,
|
| 1168 |
+
"rewards/chosen": -0.012193633243441582,
|
| 1169 |
+
"rewards/margins": 0.004410223104059696,
|
| 1170 |
+
"rewards/rejected": -0.016603857278823853,
|
| 1171 |
+
"step": 740
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 1.57,
|
| 1175 |
+
"learning_rate": 6.655924144404907e-07,
|
| 1176 |
+
"logits/chosen": 0.7234289050102234,
|
| 1177 |
+
"logits/rejected": 0.7377198338508606,
|
| 1178 |
+
"logps/chosen": -89.62705993652344,
|
| 1179 |
+
"logps/rejected": -86.00987243652344,
|
| 1180 |
+
"loss": 0.0092,
|
| 1181 |
+
"rewards/accuracies": 0.36250001192092896,
|
| 1182 |
+
"rewards/chosen": -0.012271616607904434,
|
| 1183 |
+
"rewards/margins": 0.00808991864323616,
|
| 1184 |
+
"rewards/rejected": -0.020361537113785744,
|
| 1185 |
+
"step": 750
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 1.59,
|
| 1189 |
+
"learning_rate": 6.046442623320145e-07,
|
| 1190 |
+
"logits/chosen": 0.7715792655944824,
|
| 1191 |
+
"logits/rejected": 0.803941547870636,
|
| 1192 |
+
"logps/chosen": -109.85160827636719,
|
| 1193 |
+
"logps/rejected": -105.02885437011719,
|
| 1194 |
+
"loss": 0.0091,
|
| 1195 |
+
"rewards/accuracies": 0.375,
|
| 1196 |
+
"rewards/chosen": -0.018752435222268105,
|
| 1197 |
+
"rewards/margins": 0.005930652376264334,
|
| 1198 |
+
"rewards/rejected": -0.024683088064193726,
|
| 1199 |
+
"step": 760
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.61,
|
| 1203 |
+
"learning_rate": 5.462368920983249e-07,
|
| 1204 |
+
"logits/chosen": 0.7687041759490967,
|
| 1205 |
+
"logits/rejected": 0.7833288311958313,
|
| 1206 |
+
"logps/chosen": -85.72100067138672,
|
| 1207 |
+
"logps/rejected": -73.33113098144531,
|
| 1208 |
+
"loss": 0.0092,
|
| 1209 |
+
"rewards/accuracies": 0.34375,
|
| 1210 |
+
"rewards/chosen": -0.013071869499981403,
|
| 1211 |
+
"rewards/margins": 0.006707571446895599,
|
| 1212 |
+
"rewards/rejected": -0.019779440015554428,
|
| 1213 |
+
"step": 770
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 1.63,
|
| 1217 |
+
"learning_rate": 4.904486005914027e-07,
|
| 1218 |
+
"logits/chosen": 0.7501081228256226,
|
| 1219 |
+
"logits/rejected": 0.7631546258926392,
|
| 1220 |
+
"logps/chosen": -118.79168701171875,
|
| 1221 |
+
"logps/rejected": -109.3132095336914,
|
| 1222 |
+
"loss": 0.0089,
|
| 1223 |
+
"rewards/accuracies": 0.39375001192092896,
|
| 1224 |
+
"rewards/chosen": -0.01289316825568676,
|
| 1225 |
+
"rewards/margins": 0.010348210111260414,
|
| 1226 |
+
"rewards/rejected": -0.023241376504302025,
|
| 1227 |
+
"step": 780
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.65,
|
| 1231 |
+
"learning_rate": 4.373541737087264e-07,
|
| 1232 |
+
"logits/chosen": 0.7186606526374817,
|
| 1233 |
+
"logits/rejected": 0.7436104416847229,
|
| 1234 |
+
"logps/chosen": -101.85713958740234,
|
| 1235 |
+
"logps/rejected": -97.64336395263672,
|
| 1236 |
+
"loss": 0.0094,
|
| 1237 |
+
"rewards/accuracies": 0.3187499940395355,
|
| 1238 |
+
"rewards/chosen": -0.015154453925788403,
|
| 1239 |
+
"rewards/margins": 0.006247458979487419,
|
| 1240 |
+
"rewards/rejected": -0.021401915699243546,
|
| 1241 |
+
"step": 790
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.67,
|
| 1245 |
+
"learning_rate": 3.8702478614051353e-07,
|
| 1246 |
+
"logits/chosen": 0.7555572986602783,
|
| 1247 |
+
"logits/rejected": 0.7140852808952332,
|
| 1248 |
+
"logps/chosen": -100.46399688720703,
|
| 1249 |
+
"logps/rejected": -92.70053100585938,
|
| 1250 |
+
"loss": 0.009,
|
| 1251 |
+
"rewards/accuracies": 0.42500001192092896,
|
| 1252 |
+
"rewards/chosen": -0.013208119198679924,
|
| 1253 |
+
"rewards/margins": 0.012039312161505222,
|
| 1254 |
+
"rewards/rejected": -0.02524743042886257,
|
| 1255 |
+
"step": 800
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.67,
|
| 1259 |
+
"eval_logits/chosen": 0.732753574848175,
|
| 1260 |
+
"eval_logits/rejected": 0.7523351311683655,
|
| 1261 |
+
"eval_logps/chosen": -93.27485656738281,
|
| 1262 |
+
"eval_logps/rejected": -96.37907409667969,
|
| 1263 |
+
"eval_loss": 0.009285110980272293,
|
| 1264 |
+
"eval_rewards/accuracies": 0.34200000762939453,
|
| 1265 |
+
"eval_rewards/chosen": -0.01547484565526247,
|
| 1266 |
+
"eval_rewards/margins": 0.006345819681882858,
|
| 1267 |
+
"eval_rewards/rejected": -0.021820668131113052,
|
| 1268 |
+
"eval_runtime": 272.3597,
|
| 1269 |
+
"eval_samples_per_second": 7.343,
|
| 1270 |
+
"eval_steps_per_second": 0.459,
|
| 1271 |
+
"step": 800
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 1.7,
|
| 1275 |
+
"learning_rate": 3.3952790595787986e-07,
|
| 1276 |
+
"logits/chosen": 0.8058096170425415,
|
| 1277 |
+
"logits/rejected": 0.8189395666122437,
|
| 1278 |
+
"logps/chosen": -116.7092514038086,
|
| 1279 |
+
"logps/rejected": -103.36915588378906,
|
| 1280 |
+
"loss": 0.0093,
|
| 1281 |
+
"rewards/accuracies": 0.3812499940395355,
|
| 1282 |
+
"rewards/chosen": -0.016209406778216362,
|
| 1283 |
+
"rewards/margins": 0.006806619465351105,
|
| 1284 |
+
"rewards/rejected": -0.023016026243567467,
|
| 1285 |
+
"step": 810
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 1.72,
|
| 1289 |
+
"learning_rate": 2.9492720416985004e-07,
|
| 1290 |
+
"logits/chosen": 0.6810709238052368,
|
| 1291 |
+
"logits/rejected": 0.6950341463088989,
|
| 1292 |
+
"logps/chosen": -95.54825592041016,
|
| 1293 |
+
"logps/rejected": -99.33860778808594,
|
| 1294 |
+
"loss": 0.0093,
|
| 1295 |
+
"rewards/accuracies": 0.34375,
|
| 1296 |
+
"rewards/chosen": -0.014285333454608917,
|
| 1297 |
+
"rewards/margins": 0.007627467624843121,
|
| 1298 |
+
"rewards/rejected": -0.021912802010774612,
|
| 1299 |
+
"step": 820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 1.74,
|
| 1303 |
+
"learning_rate": 2.5328246937043526e-07,
|
| 1304 |
+
"logits/chosen": 0.756773829460144,
|
| 1305 |
+
"logits/rejected": 0.7951828837394714,
|
| 1306 |
+
"logps/chosen": -96.31170654296875,
|
| 1307 |
+
"logps/rejected": -100.44956970214844,
|
| 1308 |
+
"loss": 0.0089,
|
| 1309 |
+
"rewards/accuracies": 0.39375001192092896,
|
| 1310 |
+
"rewards/chosen": -0.016868023201823235,
|
| 1311 |
+
"rewards/margins": 0.008540956303477287,
|
| 1312 |
+
"rewards/rejected": -0.025408979505300522,
|
| 1313 |
+
"step": 830
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 1.76,
|
| 1317 |
+
"learning_rate": 2.1464952759020857e-07,
|
| 1318 |
+
"logits/chosen": 0.6711292266845703,
|
| 1319 |
+
"logits/rejected": 0.7201661467552185,
|
| 1320 |
+
"logps/chosen": -95.08512878417969,
|
| 1321 |
+
"logps/rejected": -97.06068420410156,
|
| 1322 |
+
"loss": 0.0094,
|
| 1323 |
+
"rewards/accuracies": 0.3062500059604645,
|
| 1324 |
+
"rewards/chosen": -0.014699302613735199,
|
| 1325 |
+
"rewards/margins": 0.005744755733758211,
|
| 1326 |
+
"rewards/rejected": -0.020444059744477272,
|
| 1327 |
+
"step": 840
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 1.78,
|
| 1331 |
+
"learning_rate": 1.790801674598186e-07,
|
| 1332 |
+
"logits/chosen": 0.7383053302764893,
|
| 1333 |
+
"logits/rejected": 0.7714890837669373,
|
| 1334 |
+
"logps/chosen": -124.93879699707031,
|
| 1335 |
+
"logps/rejected": -99.6561050415039,
|
| 1336 |
+
"loss": 0.0091,
|
| 1337 |
+
"rewards/accuracies": 0.38749998807907104,
|
| 1338 |
+
"rewards/chosen": -0.015930239111185074,
|
| 1339 |
+
"rewards/margins": 0.009742177091538906,
|
| 1340 |
+
"rewards/rejected": -0.025672415271401405,
|
| 1341 |
+
"step": 850
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 1.8,
|
| 1345 |
+
"learning_rate": 1.4662207078575685e-07,
|
| 1346 |
+
"logits/chosen": 0.7659719586372375,
|
| 1347 |
+
"logits/rejected": 0.7763293385505676,
|
| 1348 |
+
"logps/chosen": -90.79667663574219,
|
| 1349 |
+
"logps/rejected": -88.97042083740234,
|
| 1350 |
+
"loss": 0.0089,
|
| 1351 |
+
"rewards/accuracies": 0.3687500059604645,
|
| 1352 |
+
"rewards/chosen": -0.0146828293800354,
|
| 1353 |
+
"rewards/margins": 0.010549478232860565,
|
| 1354 |
+
"rewards/rejected": -0.025232309475541115,
|
| 1355 |
+
"step": 860
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 1.82,
|
| 1359 |
+
"learning_rate": 1.1731874863145143e-07,
|
| 1360 |
+
"logits/chosen": 0.7607251405715942,
|
| 1361 |
+
"logits/rejected": 0.7975329160690308,
|
| 1362 |
+
"logps/chosen": -93.11439514160156,
|
| 1363 |
+
"logps/rejected": -90.27216339111328,
|
| 1364 |
+
"loss": 0.0092,
|
| 1365 |
+
"rewards/accuracies": 0.3812499940395355,
|
| 1366 |
+
"rewards/chosen": -0.01333933137357235,
|
| 1367 |
+
"rewards/margins": 0.008563781157135963,
|
| 1368 |
+
"rewards/rejected": -0.021903112530708313,
|
| 1369 |
+
"step": 870
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 1.84,
|
| 1373 |
+
"learning_rate": 9.120948298936422e-08,
|
| 1374 |
+
"logits/chosen": 0.7698312997817993,
|
| 1375 |
+
"logits/rejected": 0.8300016522407532,
|
| 1376 |
+
"logps/chosen": -88.53062438964844,
|
| 1377 |
+
"logps/rejected": -85.57463073730469,
|
| 1378 |
+
"loss": 0.0088,
|
| 1379 |
+
"rewards/accuracies": 0.3499999940395355,
|
| 1380 |
+
"rewards/chosen": -0.012708066031336784,
|
| 1381 |
+
"rewards/margins": 0.008814197964966297,
|
| 1382 |
+
"rewards/rejected": -0.021522263064980507,
|
| 1383 |
+
"step": 880
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 1.86,
|
| 1387 |
+
"learning_rate": 6.832927412229017e-08,
|
| 1388 |
+
"logits/chosen": 0.7292782068252563,
|
| 1389 |
+
"logits/rejected": 0.7688521146774292,
|
| 1390 |
+
"logps/chosen": -91.70903015136719,
|
| 1391 |
+
"logps/rejected": -94.77793884277344,
|
| 1392 |
+
"loss": 0.0089,
|
| 1393 |
+
"rewards/accuracies": 0.375,
|
| 1394 |
+
"rewards/chosen": -0.014614684507250786,
|
| 1395 |
+
"rewards/margins": 0.009316334500908852,
|
| 1396 |
+
"rewards/rejected": -0.023931019008159637,
|
| 1397 |
+
"step": 890
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 1.88,
|
| 1401 |
+
"learning_rate": 4.870879364444109e-08,
|
| 1402 |
+
"logits/chosen": 0.7349046468734741,
|
| 1403 |
+
"logits/rejected": 0.7809796333312988,
|
| 1404 |
+
"logps/chosen": -88.32861328125,
|
| 1405 |
+
"logps/rejected": -87.64916229248047,
|
| 1406 |
+
"loss": 0.0091,
|
| 1407 |
+
"rewards/accuracies": 0.3375000059604645,
|
| 1408 |
+
"rewards/chosen": -0.014183936640620232,
|
| 1409 |
+
"rewards/margins": 0.008784374222159386,
|
| 1410 |
+
"rewards/rejected": -0.022968310862779617,
|
| 1411 |
+
"step": 900
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 1.88,
|
| 1415 |
+
"eval_logits/chosen": 0.7319999933242798,
|
| 1416 |
+
"eval_logits/rejected": 0.75148606300354,
|
| 1417 |
+
"eval_logps/chosen": -93.28408813476562,
|
| 1418 |
+
"eval_logps/rejected": -96.38092041015625,
|
| 1419 |
+
"eval_loss": 0.009287585504353046,
|
| 1420 |
+
"eval_rewards/accuracies": 0.3479999899864197,
|
| 1421 |
+
"eval_rewards/chosen": -0.015567170456051826,
|
| 1422 |
+
"eval_rewards/margins": 0.00627197464928031,
|
| 1423 |
+
"eval_rewards/rejected": -0.021839145570993423,
|
| 1424 |
+
"eval_runtime": 272.272,
|
| 1425 |
+
"eval_samples_per_second": 7.346,
|
| 1426 |
+
"eval_steps_per_second": 0.459,
|
| 1427 |
+
"step": 900
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 1.9,
|
| 1431 |
+
"learning_rate": 3.237434340521789e-08,
|
| 1432 |
+
"logits/chosen": 0.7097499966621399,
|
| 1433 |
+
"logits/rejected": 0.781818687915802,
|
| 1434 |
+
"logps/chosen": -101.80133056640625,
|
| 1435 |
+
"logps/rejected": -103.1551742553711,
|
| 1436 |
+
"loss": 0.009,
|
| 1437 |
+
"rewards/accuracies": 0.375,
|
| 1438 |
+
"rewards/chosen": -0.015344848856329918,
|
| 1439 |
+
"rewards/margins": 0.008192854933440685,
|
| 1440 |
+
"rewards/rejected": -0.023537704721093178,
|
| 1441 |
+
"step": 910
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 1.93,
|
| 1445 |
+
"learning_rate": 1.93478202307823e-08,
|
| 1446 |
+
"logits/chosen": 0.7037514448165894,
|
| 1447 |
+
"logits/rejected": 0.7321338653564453,
|
| 1448 |
+
"logps/chosen": -97.42137145996094,
|
| 1449 |
+
"logps/rejected": -94.04901123046875,
|
| 1450 |
+
"loss": 0.0093,
|
| 1451 |
+
"rewards/accuracies": 0.32499998807907104,
|
| 1452 |
+
"rewards/chosen": -0.013967466540634632,
|
| 1453 |
+
"rewards/margins": 0.005121930036693811,
|
| 1454 |
+
"rewards/rejected": -0.01908939704298973,
|
| 1455 |
+
"step": 920
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 1.95,
|
| 1459 |
+
"learning_rate": 9.646686570697062e-09,
|
| 1460 |
+
"logits/chosen": 0.7186129093170166,
|
| 1461 |
+
"logits/rejected": 0.8163198232650757,
|
| 1462 |
+
"logps/chosen": -103.3648681640625,
|
| 1463 |
+
"logps/rejected": -99.19805145263672,
|
| 1464 |
+
"loss": 0.0092,
|
| 1465 |
+
"rewards/accuracies": 0.35624998807907104,
|
| 1466 |
+
"rewards/chosen": -0.012637853622436523,
|
| 1467 |
+
"rewards/margins": 0.008680110797286034,
|
| 1468 |
+
"rewards/rejected": -0.021317964419722557,
|
| 1469 |
+
"step": 930
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 1.97,
|
| 1473 |
+
"learning_rate": 3.283947088983663e-09,
|
| 1474 |
+
"logits/chosen": 0.7728757858276367,
|
| 1475 |
+
"logits/rejected": 0.7769932150840759,
|
| 1476 |
+
"logps/chosen": -98.65019989013672,
|
| 1477 |
+
"logps/rejected": -108.49007415771484,
|
| 1478 |
+
"loss": 0.0092,
|
| 1479 |
+
"rewards/accuracies": 0.4000000059604645,
|
| 1480 |
+
"rewards/chosen": -0.018378112465143204,
|
| 1481 |
+
"rewards/margins": 0.008477538824081421,
|
| 1482 |
+
"rewards/rejected": -0.026855653151869774,
|
| 1483 |
+
"step": 940
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 1.99,
|
| 1487 |
+
"learning_rate": 2.681312309735229e-10,
|
| 1488 |
+
"logits/chosen": 0.8041951060295105,
|
| 1489 |
+
"logits/rejected": 0.818127453327179,
|
| 1490 |
+
"logps/chosen": -92.90714263916016,
|
| 1491 |
+
"logps/rejected": -102.76998138427734,
|
| 1492 |
+
"loss": 0.0093,
|
| 1493 |
+
"rewards/accuracies": 0.32499998807907104,
|
| 1494 |
+
"rewards/chosen": -0.014978660270571709,
|
| 1495 |
+
"rewards/margins": 0.006398401223123074,
|
| 1496 |
+
"rewards/rejected": -0.021377062425017357,
|
| 1497 |
+
"step": 950
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 2.0,
|
| 1501 |
+
"step": 954,
|
| 1502 |
"total_flos": 0.0,
|
| 1503 |
+
"train_loss": 0.008370190804172112,
|
| 1504 |
+
"train_runtime": 12459.0229,
|
| 1505 |
+
"train_samples_per_second": 4.907,
|
| 1506 |
+
"train_steps_per_second": 0.077
|
| 1507 |
}
|
| 1508 |
],
|
| 1509 |
"logging_steps": 10,
|
| 1510 |
+
"max_steps": 954,
|
| 1511 |
"num_input_tokens_seen": 0,
|
| 1512 |
"num_train_epochs": 2,
|
| 1513 |
"save_steps": 100,
|