---
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: 1.3302

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.9895        | 0.8571  | 3    | 4.1658          |
| 3.4778        | 2.0     | 7    | 3.7207          |
| 4.1399        | 2.8571  | 10   | 3.3552          |
| 2.747         | 4.0     | 14   | 2.9052          |
| 3.2593        | 4.8571  | 17   | 2.6105          |
| 2.1018        | 6.0     | 21   | 2.2608          |
| 2.4159        | 6.8571  | 24   | 2.0093          |
| 1.6044        | 8.0     | 28   | 1.7780          |
| 1.9126        | 8.8571  | 31   | 1.6498          |
| 1.2575        | 10.0    | 35   | 1.5062          |
| 1.6232        | 10.8571 | 38   | 1.4496          |
| 1.1013        | 12.0    | 42   | 1.3928          |
| 1.4709        | 12.8571 | 45   | 1.3688          |
| 1.0337        | 14.0    | 49   | 1.3495          |
| 1.4037        | 14.8571 | 52   | 1.3399          |
| 1.0328        | 16.0    | 56   | 1.3307          |
| 1.3526        | 16.8571 | 59   | 1.3277          |
| 0.9745        | 18.0    | 63   | 1.3259          |
| 1.299         | 18.8571 | 66   | 1.3254          |
| 0.9387        | 20.0    | 70   | 1.3259          |
| 1.3275        | 20.8571 | 73   | 1.3271          |
| 0.9127        | 22.0    | 77   | 1.3290          |
| 1.2574        | 22.8571 | 80   | 1.3300          |
| 0.9474        | 24.0    | 84   | 1.3305          |
| 1.2843        | 24.8571 | 87   | 1.3302          |
| 0.8341        | 25.7143 | 90   | 1.3302          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1