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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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library_name: peft |
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license: llama3.1 |
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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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model-index: |
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- name: dpo-llama3-8b-sample-rules |
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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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# dpo-llama3-8b-sample-rules |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1877 |
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- Rewards/chosen: 0.0468 |
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- Rewards/rejected: -1.6718 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 1.7186 |
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- Logps/rejected: -533.8027 |
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- Logps/chosen: -205.1740 |
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- Logits/rejected: -1.4124 |
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- Logits/chosen: -1.2468 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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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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| 0.4235 | 0.4444 | 50 | 0.3831 | 0.1873 | -0.5971 | 1.0 | 0.7844 | -426.3294 | -191.1236 | -1.4109 | -1.2728 | |
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| 0.1946 | 0.8889 | 100 | 0.1877 | 0.0468 | -1.6718 | 1.0 | 1.7186 | -533.8027 | -205.1740 | -1.4124 | -1.2468 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
