| --- |
| base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| library_name: peft |
| license: llama3 |
| tags: |
| - trl |
| - kto |
| - generated_from_trainer |
| model-index: |
| - name: 'null' |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<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) |
| # null |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6004 |
| - Eval/rewards/chosen: 0.0713 |
| - Eval/logps/chosen: -174.6075 |
| - Eval/rewards/rejected: 0.0986 |
| - Eval/logps/rejected: -217.2799 |
| - Eval/rewards/margins: -0.0273 |
| - Eval/kl: 0.7783 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 0.5651 | 0.9677 | 15 | 0.6026 | 0.1513 | |
| | 0.5618 | 2.0 | 31 | 0.5999 | 0.3742 | |
| | 0.5484 | 2.9677 | 46 | 0.6006 | 0.6711 | |
| | 0.5466 | 4.0 | 62 | 0.6003 | 0.8158 | |
| | 0.6017 | 4.8387 | 75 | 0.6004 | 0.7783 | |
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| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.42.2 |
| - Pytorch 2.2.0 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
