---
library_name: peft
license: apache-2.0
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft-epoch-17
  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-epoch-17

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: 2.6155

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 17
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 25.5434       | 0.5714  | 1    | 4.2401          |
| 25.6938       | 1.5714  | 2    | 4.1565          |
| 24.646        | 2.5714  | 3    | 3.9657          |
| 23.5063       | 3.5714  | 4    | 3.7821          |
| 22.2803       | 4.5714  | 5    | 3.6134          |
| 21.3242       | 5.5714  | 6    | 3.4549          |
| 20.3798       | 6.5714  | 7    | 3.3075          |
| 19.658        | 7.5714  | 8    | 3.1749          |
| 18.9316       | 8.5714  | 9    | 3.0579          |
| 18.1952       | 9.5714  | 10   | 2.9563          |
| 17.5537       | 10.5714 | 11   | 2.8690          |
| 17.0554       | 11.5714 | 12   | 2.7957          |
| 16.6773       | 12.5714 | 13   | 2.7354          |
| 16.3041       | 13.5714 | 14   | 2.6879          |
| 15.9872       | 14.5714 | 15   | 2.6520          |
| 15.7942       | 15.5714 | 16   | 2.6279          |
| 10.5046       | 16.5714 | 17   | 2.6155          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0