---
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: 3.2153

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 8.5479        | 0.7273 | 2    | 5.6143          |
| 5.2134        | 1.8182 | 5    | 4.9622          |
| 4.42          | 2.9091 | 8    | 4.1683          |
| 3.7165        | 4.0    | 11   | 3.7391          |
| 5.0148        | 4.7273 | 13   | 3.5272          |
| 3.0975        | 5.8182 | 16   | 3.3150          |
| 2.976         | 6.9091 | 19   | 3.2248          |
| 2.3761        | 7.2727 | 20   | 3.2153          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1