---
library_name: peft
license: llama3.1
base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_DM001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_DM001

This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-instruct-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-instruct-bnb-4bit) on the None dataset.

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7331
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 5
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.47.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0