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--- |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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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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- kto |
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- generated_from_trainer |
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model-index: |
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- name: 'null' |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pauld/huggingface/runs/5ep5fter) |
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# null |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6004 |
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- Eval/rewards/chosen: 0.0713 |
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- Eval/logps/chosen: -174.6075 |
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- Eval/rewards/rejected: 0.0986 |
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- Eval/logps/rejected: -217.2799 |
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- Eval/rewards/margins: -0.0273 |
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- Eval/kl: 0.7783 |
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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: 1e-05 |
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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: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.5651 | 0.9677 | 15 | 0.6026 | 0.1513 | |
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| 0.5618 | 2.0 | 31 | 0.5999 | 0.3742 | |
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| 0.5484 | 2.9677 | 46 | 0.6006 | 0.6711 | |
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| 0.5466 | 4.0 | 62 | 0.6003 | 0.8158 | |
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| 0.6017 | 4.8387 | 75 | 0.6004 | 0.7783 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.2 |
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- Pytorch 2.2.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
