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llama3.1_8b_dpo_bwgenerator

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  1. README.md +26 -1
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -17,6 +17,16 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama3.1_8b_dpo_bwgenerator
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 4
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  ### Training results
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  ### Framework versions
 
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  # llama3.1_8b_dpo_bwgenerator
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0426
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+ - Rewards/chosen: -9.1334
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+ - Rewards/rejected: -41.2562
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+ - Rewards/accuracies: 0.9968
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+ - Rewards/margins: 32.1228
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+ - Logps/rejected: -519.8535
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+ - Logps/chosen: -173.9601
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+ - Logits/rejected: -1.2773
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+ - Logits/chosen: -1.8503
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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+ | 0.0892 | 0.0719 | 1000 | 0.1265 | -30.3353 | -68.4770 | 0.9900 | 38.1417 | -792.0620 | -385.9789 | -1.2593 | -1.8522 |
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+ | 0.0747 | 0.1438 | 2000 | 0.0675 | -15.0547 | -42.3699 | 0.9932 | 27.3152 | -530.9907 | -233.1734 | -1.2465 | -1.8204 |
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+ | 0.0508 | 0.2157 | 3000 | 0.0497 | -10.9548 | -36.2994 | 0.9951 | 25.3446 | -470.2862 | -192.1746 | -1.2443 | -1.8188 |
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+ | 0.0342 | 0.2876 | 4000 | 0.0521 | -11.1133 | -39.6413 | 0.9945 | 28.5280 | -503.7046 | -193.7589 | -1.2760 | -1.8503 |
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+ | 0.0413 | 0.3595 | 5000 | 0.0489 | -10.1717 | -41.3975 | 0.9958 | 31.2258 | -521.2673 | -184.3437 | -1.2904 | -1.8675 |
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+ | 0.0359 | 0.4313 | 6000 | 0.0465 | -10.0814 | -40.8284 | 0.9961 | 30.7471 | -515.5765 | -183.4398 | -1.2872 | -1.8619 |
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+ | 0.0431 | 0.5032 | 7000 | 0.0509 | -12.0232 | -46.5198 | 0.9961 | 34.4966 | -572.4903 | -202.8584 | -1.2039 | -1.7967 |
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+ | 0.0549 | 0.5751 | 8000 | 0.0440 | -9.5094 | -40.3277 | 0.9958 | 30.8183 | -510.5694 | -177.7208 | -1.2813 | -1.8498 |
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+ | 0.0424 | 0.6470 | 9000 | 0.0440 | -9.7038 | -41.6696 | 0.9964 | 31.9658 | -523.9880 | -179.6640 | -1.2597 | -1.8373 |
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+ | 0.0231 | 0.7189 | 10000 | 0.0450 | -9.8079 | -43.3146 | 0.9964 | 33.5067 | -540.4382 | -180.7056 | -1.2646 | -1.8409 |
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+ | 0.0225 | 0.7908 | 11000 | 0.0436 | -9.1686 | -41.6580 | 0.9968 | 32.4894 | -523.8720 | -174.3121 | -1.2758 | -1.8486 |
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+ | 0.0309 | 0.8627 | 12000 | 0.0432 | -9.4044 | -41.9421 | 0.9968 | 32.5377 | -526.7131 | -176.6707 | -1.2731 | -1.8472 |
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+ | 0.0567 | 0.9346 | 13000 | 0.0426 | -9.1334 | -41.2562 | 0.9968 | 32.1228 | -519.8535 | -173.9601 | -1.2773 | -1.8503 |
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  ### Framework versions
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