---
base_model: hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
library_name: peft
license: llama3.1
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 [hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4](https://huggingface.co/hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0354

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.8384        | 0.9231 | 3    | 3.2747          |
| 3.666         | 1.8462 | 6    | 3.1189          |
| 3.4422        | 2.7692 | 9    | 2.9378          |
| 2.3978        | 4.0    | 13   | 2.6971          |
| 2.9756        | 4.9231 | 16   | 2.5165          |
| 2.7288        | 5.8462 | 19   | 2.3571          |
| 2.5339        | 6.7692 | 22   | 2.2220          |
| 1.796         | 8.0    | 26   | 2.0908          |
| 2.2918        | 8.9231 | 29   | 2.0411          |
| 1.6171        | 9.2308 | 30   | 2.0354          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1