---
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
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# 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: 0.5705

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4224        | 1.0   | 5    | 2.0833          |
| 1.8303        | 2.0   | 10   | 1.6150          |
| 1.4466        | 3.0   | 15   | 1.3017          |
| 1.1519        | 4.0   | 20   | 1.0420          |
| 0.8828        | 5.0   | 25   | 0.8062          |
| 0.685         | 6.0   | 30   | 0.6994          |
| 0.5976        | 7.0   | 35   | 0.6398          |
| 0.5449        | 8.0   | 40   | 0.5994          |
| 0.509         | 9.0   | 45   | 0.5782          |
| 0.4907        | 10.0  | 50   | 0.5705          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1