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--- |
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license: llama3.1 |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: llama3.1_8b_dpo_bwgenerator_test2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llama3.1_8b_dpo_bwgenerator_test2 |
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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: 0.0977 |
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- Rewards/chosen: -12.6599 |
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- Rewards/rejected: -40.7969 |
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- Rewards/accuracies: 0.9925 |
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- Rewards/margins: 28.1371 |
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- Logps/rejected: -518.0425 |
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- Logps/chosen: -211.2417 |
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- Logits/rejected: -1.2740 |
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- Logits/chosen: -1.8549 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- num_epochs: 1 |
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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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| 0.065 | 0.2396 | 1000 | 0.1978 | -24.9705 | -63.8717 | 0.9881 | 38.9011 | -748.7902 | -334.3486 | -1.2031 | -1.8039 | |
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| 0.0803 | 0.4793 | 2000 | 0.1339 | -16.1506 | -46.8097 | 0.9925 | 30.6591 | -578.1700 | -246.1489 | -1.2214 | -1.8149 | |
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| 0.0588 | 0.7189 | 3000 | 0.1012 | -12.8597 | -41.3756 | 0.9925 | 28.5159 | -523.8289 | -213.2401 | -1.2775 | -1.8541 | |
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| 0.0422 | 0.9585 | 4000 | 0.0977 | -12.6599 | -40.7969 | 0.9925 | 28.1371 | -518.0425 | -211.2417 | -1.2740 | -1.8549 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.19.1 |
