---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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: 1.3909

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7212        | 0.92  | 3    | 1.5434          |
| 1.4475        | 1.85  | 6    | 1.4012          |
| 1.3078        | 2.77  | 9    | 1.3524          |
| 0.9281        | 4.0   | 13   | 1.3281          |
| 1.2403        | 4.92  | 16   | 1.3273          |
| 1.2006        | 5.85  | 19   | 1.3225          |
| 1.126         | 6.77  | 22   | 1.3246          |
| 0.8129        | 8.0   | 26   | 1.3236          |
| 1.052         | 8.92  | 29   | 1.3281          |
| 1.0153        | 9.85  | 32   | 1.3262          |
| 0.9963        | 10.77 | 35   | 1.3315          |
| 0.7424        | 12.0  | 39   | 1.3389          |
| 0.937         | 12.92 | 42   | 1.3509          |
| 0.9203        | 13.85 | 45   | 1.3569          |
| 0.8923        | 14.77 | 48   | 1.3796          |
| 0.6622        | 16.0  | 52   | 1.3736          |
| 0.8592        | 16.92 | 55   | 1.3812          |
| 0.8636        | 17.85 | 58   | 1.3903          |
| 0.5605        | 18.46 | 60   | 1.3909          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2