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--- |
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base_model: meta-llama/Llama-3.2-1B-Instruct |
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library_name: peft |
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license: llama3.2 |
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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: llama3.2-1B-dpo |
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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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# llama3.2-1B-dpo |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7077 |
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- Rewards/chosen: -7.1636 |
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- Rewards/rejected: -9.0302 |
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- Rewards/accuracies: 0.4015 |
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- Rewards/margins: 1.8666 |
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- Logps/rejected: -197.2289 |
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- Logps/chosen: -195.0906 |
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- Logits/rejected: 0.2668 |
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- Logits/chosen: 0.3537 |
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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: 6 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 0.6114 | 0.3817 | 700 | 0.8334 | -7.6439 | -9.5517 | 0.3914 | 1.9077 | -202.4431 | -199.8938 | 0.4338 | 0.5238 | |
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| 0.6772 | 0.7634 | 1400 | 0.7077 | -7.1636 | -9.0302 | 0.4015 | 1.8666 | -197.2289 | -195.0906 | 0.2668 | 0.3537 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.45.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.20.0 |
