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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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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: llama-3-8b-dpo-full |
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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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# llama-3-8b-dpo-full |
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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: 0.5582 |
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- Rewards/chosen: -1.3603 |
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- Rewards/rejected: -2.0529 |
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- Rewards/accuracies: 0.7262 |
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- Rewards/margins: 0.6926 |
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- Logps/rejected: -600.9839 |
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- Logps/chosen: -540.5128 |
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- Logits/rejected: -2.7438 |
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- Logits/chosen: -2.5853 |
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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: 3e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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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| 0.6341 | 0.2094 | 100 | 0.6223 | -0.6021 | -0.8779 | 0.7103 | 0.2758 | -483.4830 | -464.6949 | -2.6189 | -2.4353 | |
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| 0.5887 | 0.4187 | 200 | 0.5796 | -1.0505 | -1.5993 | 0.7143 | 0.5488 | -555.6263 | -509.5346 | -2.6508 | -2.4854 | |
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| 0.5667 | 0.6281 | 300 | 0.5653 | -1.0427 | -1.6191 | 0.7222 | 0.5764 | -557.6055 | -508.7539 | -2.6684 | -2.5120 | |
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| 0.5803 | 0.8375 | 400 | 0.5582 | -1.3603 | -2.0529 | 0.7262 | 0.6926 | -600.9839 | -540.5128 | -2.7438 | -2.5853 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.20.0 |
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