---
base_model: aaditya/Llama3-OpenBioLLM-8B
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: LLaMA3-8Bit-LoRA-Med
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLaMA3-8Bit-LoRA-Med

This model is a fine-tuned version of [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) on an unknown 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 60
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0