---
base_model: meta-llama/Llama-3.2-1B
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft
  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. -->

# shawgpt-ft

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9054

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.0948        | 0.9231 | 3    | 3.5602          |
| 3.989         | 1.8462 | 6    | 3.4689          |
| 3.8695        | 2.7692 | 9    | 3.3643          |
| 2.7993        | 4.0    | 13   | 3.2266          |
| 3.6082        | 4.9231 | 16   | 3.1340          |
| 3.4814        | 5.8462 | 19   | 3.0544          |
| 3.3948        | 6.7692 | 22   | 2.9899          |
| 2.4744        | 8.0    | 26   | 2.9295          |
| 3.2539        | 8.9231 | 29   | 2.9079          |
| 2.2491        | 9.2308 | 30   | 2.9054          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1