| --- |
| base_model: NousResearch/Meta-Llama-3-8B-Instruct |
| library_name: peft |
| license: other |
| tags: |
| - llama-factory |
| - lora |
| - unsloth |
| - generated_from_trainer |
| model-index: |
| - name: exported |
| 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/gotzmann/huggingface/runs/v2qoxx0k) |
| # exported |
|
|
| This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the final dataset. |
|
|
| ## 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: |
| - learning_rate: 0.0001 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 1.0 |
|
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| ### Training results |
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| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.42.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
