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--- |
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base_model: meta-llama/Meta-Llama-3-8B |
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library_name: peft |
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license: llama3 |
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tags: |
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- trl |
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- orpo |
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- generated_from_trainer |
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model-index: |
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- name: ft-Llama3-8b-orpo |
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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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# ft-Llama3-8b-orpo |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the mlabonne/orpo-dpo-mix-40k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8983 |
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- Rewards/chosen: -0.0999 |
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- Rewards/rejected: -0.1748 |
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- Rewards/accuracies: 0.4000 |
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- Rewards/margins: 0.0749 |
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- Logps/rejected: -1.7478 |
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- Logps/chosen: -0.9993 |
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- Logits/rejected: -1.5466 |
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- Logits/chosen: -1.5315 |
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- Nll Loss: 0.8281 |
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- Log Odds Ratio: -0.7026 |
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- Log Odds Chosen: 0.7314 |
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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: 8e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: linear |
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- lr_scheduler_warmup_steps: 10 |
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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 | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 1.6579 | 0.2 | 25 | 1.2469 | -0.1560 | -0.2318 | 0.5 | 0.0758 | -2.3180 | -1.5595 | -1.2300 | -1.0199 | 1.1776 | -0.6935 | 0.7440 | |
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| 1.1014 | 0.4 | 50 | 1.0297 | -0.1262 | -0.1994 | 0.5 | 0.0732 | -1.9942 | -1.2621 | -1.4006 | -1.3743 | 0.9587 | -0.7096 | 0.7137 | |
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| 0.9391 | 0.61 | 75 | 0.9463 | -0.1106 | -0.1844 | 0.5 | 0.0738 | -1.8440 | -1.1062 | -1.5970 | -1.5504 | 0.8754 | -0.7083 | 0.7185 | |
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| 0.676 | 0.81 | 100 | 0.8983 | -0.0999 | -0.1748 | 0.4000 | 0.0749 | -1.7478 | -0.9993 | -1.5466 | -1.5315 | 0.8281 | -0.7026 | 0.7314 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
