---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B
tags:
- generated_from_trainer
model-index:
- name: meta-llama-Llama-3.2-3B-2025-03-13-checkpoints
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# meta-llama-Llama-3.2-3B-2025-03-13-checkpoints

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4744
- eval_runtime: 944.6944
- eval_samples_per_second: 53.356
- eval_steps_per_second: 13.34
- epoch: 0.0040
- step: 200

## 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: 4
- seed: 42
- optimizer: Use adamw_torch 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
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.2.0
- Datasets 3.3.2
- Tokenizers 0.21.1