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RikkiXu
/
zephyr-7b-dpo-full

Text Generation
Transformers
TensorBoard
Safetensors
mistral
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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RikkiXu commited on
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Files changed (10) hide show
  1. README.md +20 -20
  2. all_results.json +5 -5
  3. model-00001-of-00003.safetensors +1 -1
  4. model-00002-of-00003.safetensors +1 -1
  5. model-00003-of-00003.safetensors +1 -1
  6. runs/May11_01-40-52_n136-082-130/events.out.tfevents.1715363605.n136-082-130.679255.0 +2 -2
  7. runs/May11_06-27-51_n136-082-130/events.out.tfevents.1715380893.n136-082-130.803970.0 +3 -0
  8. train_results.json +5 -5
  9. trainer_state.json +0 -0
  10. training_args.bin +1 -1
README.md CHANGED
@@ -15,15 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0232
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- - Rewards/chosen: -7.1946
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- - Rewards/rejected: -8.7238
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- - Rewards/accuracies: 0.6133
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- - Rewards/margins: 1.5292
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- - Logps/rejected: -1160.1461
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- - Logps/chosen: -1001.0963
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- - Logits/rejected: -0.4190
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- - Logits/chosen: -0.5892
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  ## Model description
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@@ -58,17 +58,17 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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- |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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- | 0.254 | 0.1 | 100 | 1.4761 | -5.3290 | -6.2112 | 0.5898 | 0.8822 | -908.8818 | -814.5385 | -1.4873 | -1.5203 |
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- | 0.1844 | 0.21 | 200 | 1.7253 | -6.1555 | -7.4481 | 0.6133 | 1.2926 | -1032.5726 | -897.1824 | -1.4103 | -1.4664 |
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- | 0.1635 | 0.31 | 300 | 1.6677 | -6.1768 | -7.3921 | 0.5938 | 1.2153 | -1026.9750 | -899.3143 | -0.6257 | -0.7515 |
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- | 0.1606 | 0.42 | 400 | 2.0307 | -7.0774 | -8.4601 | 0.6016 | 1.3827 | -1133.7700 | -989.3718 | -0.4798 | -0.6143 |
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- | 0.163 | 0.52 | 500 | 1.8216 | -6.5495 | -8.0368 | 0.5898 | 1.4873 | -1091.4379 | -936.5793 | -0.8136 | -0.9380 |
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- | 0.1656 | 0.63 | 600 | 1.8091 | -6.5309 | -7.9593 | 0.625 | 1.4284 | -1083.6920 | -934.7285 | -0.3700 | -0.5360 |
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- | 0.1552 | 0.73 | 700 | 2.0767 | -7.6318 | -9.1866 | 0.5977 | 1.5547 | -1206.4197 | -1044.8179 | -0.3588 | -0.5351 |
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- | 0.1377 | 0.84 | 800 | 2.0307 | -7.2870 | -8.8043 | 0.6055 | 1.5173 | -1168.1901 | -1010.3356 | -0.4156 | -0.5887 |
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- | 0.1462 | 0.94 | 900 | 2.0232 | -7.1946 | -8.7238 | 0.6133 | 1.5292 | -1160.1461 | -1001.0963 | -0.4190 | -0.5892 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Logits/chosen: -0.7535
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+ - Logits/rejected: -0.5762
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+ - Logps/chosen: -1012.8752
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+ - Logps/rejected: -1186.8893
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+ - Loss: 2.0172
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+ - Rewards/accuracies: 0.6211
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+ - Rewards/chosen: -7.3124
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+ - Rewards/margins: 1.6789
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+ - Rewards/rejected: -8.9913
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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+ |:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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+ | 0.2553 | 0.1 | 100 | -1.4311 | -1.3999 | -810.3989 | -903.4209 | 1.4885 | 0.5938 | -5.2877 | 0.8689 | -6.1566 |
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+ | 0.1835 | 0.21 | 200 | -1.1732 | -1.0838 | -985.7894 | -1125.4023 | 1.7331 | 0.6406 | -7.0416 | 1.3349 | -8.3764 |
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+ | 0.1686 | 0.31 | 300 | -0.4382 | -0.2631 | -962.0720 | -1124.1737 | 1.8406 | 0.6211 | -6.8044 | 1.5597 | -8.3641 |
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+ | 0.1652 | 0.42 | 400 | -0.9962 | -0.8431 | -1031.8544 | -1193.3768 | 2.2100 | 0.6133 | -7.5022 | 1.5539 | -9.0562 |
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+ | 0.1641 | 0.52 | 500 | -0.6576 | -0.4578 | -968.2329 | -1137.7808 | 1.7548 | 0.6211 | -6.8660 | 1.6342 | -8.5002 |
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+ | 0.1644 | 0.63 | 600 | -0.6600 | -0.4861 | -931.4107 | -1085.6713 | 1.7738 | 0.6328 | -6.4978 | 1.4813 | -7.9791 |
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+ | 0.1568 | 0.73 | 700 | -0.5415 | -0.3529 | -1035.0319 | -1212.3086 | 2.0363 | 0.6367 | -7.5340 | 1.7115 | -9.2455 |
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+ | 0.1394 | 0.84 | 800 | -0.6702 | -0.4872 | -1030.3461 | -1205.7072 | 2.0376 | 0.6289 | -7.4871 | 1.6923 | -9.1795 |
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+ | 0.1421 | 0.94 | 900 | -0.7535 | -0.5762 | -1012.8752 | -1186.8893 | 2.0172 | 0.6211 | -7.3124 | 1.6789 | -8.9913 |
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  ### Framework versions
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