---
base_model: meta-llama/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama3.2-3b-medium
  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. -->

# llama3.2-3b-medium

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6810

## 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: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0835        | 0.5198 | 100  | 1.9059          |
| 1.8694        | 1.0396 | 200  | 1.8444          |
| 1.7751        | 1.5595 | 300  | 1.8023          |
| 1.7621        | 2.0793 | 400  | 1.7662          |
| 1.6951        | 2.5991 | 500  | 1.7426          |
| 1.6917        | 3.1189 | 600  | 1.7270          |
| 1.6354        | 3.6387 | 700  | 1.7141          |
| 1.6231        | 4.1585 | 800  | 1.7076          |
| 1.5944        | 4.6784 | 900  | 1.6972          |
| 1.5959        | 5.1982 | 1000 | 1.6925          |
| 1.5429        | 5.7180 | 1100 | 1.6878          |
| 1.5584        | 6.2378 | 1200 | 1.6880          |
| 1.5347        | 6.7576 | 1300 | 1.6839          |
| 1.5536        | 7.2775 | 1400 | 1.6818          |
| 1.5061        | 7.7973 | 1500 | 1.6823          |
| 1.5282        | 8.3171 | 1600 | 1.6814          |
| 1.5187        | 8.8369 | 1700 | 1.6809          |
| 1.5232        | 9.3567 | 1800 | 1.6809          |
| 1.5131        | 9.8765 | 1900 | 1.6810          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.45.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1