---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
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 [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3151

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7497        | 1.0   | 4    | 2.6779          |
| 2.6244        | 2.0   | 8    | 2.5849          |
| 2.4713        | 3.0   | 12   | 2.4209          |
| 2.2528        | 4.0   | 16   | 2.2592          |
| 2.1709        | 5.0   | 20   | 2.0030          |
| 1.7641        | 6.0   | 24   | 1.7789          |
| 1.5186        | 7.0   | 28   | 1.5817          |
| 1.4366        | 8.0   | 32   | 1.4485          |
| 1.3282        | 9.0   | 36   | 1.3829          |
| 1.1828        | 10.0  | 40   | 1.3437          |
| 1.2567        | 11.0  | 44   | 1.3216          |
| 1.0748        | 12.0  | 48   | 1.3156          |
| 1.1122        | 13.0  | 52   | 1.3091          |
| 0.9957        | 14.0  | 56   | 1.3154          |
| 1.0336        | 15.0  | 60   | 1.3151          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1