peft tensorboard safetensors trl sft generated_from_trainer dataset:generator base_model:meta-llama/Llama-3.2-3B-Instruct base_model:adapter:meta-llama/Llama-3.2-3B-Instruct license:llama3.2 region:us
---
base_model: meta-llama/Llama-3.2-3B-Instruct
datasets:
- generator
library_name: peft
license: llama3.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Meta-Llama-3.2-3B-MEDAL-finetune
  results: []
---

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# Meta-Llama-3.2-3B-MEDAL-finetune

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the generator 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0