---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7929

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.921         | 0.9892 | 69   | 3.1268          |
| 2.7734        | 1.9928 | 139  | 2.7793          |
| 2.5538        | 2.9964 | 209  | 2.7026          |
| 2.4648        | 4.0    | 279  | 2.7008          |
| 2.4164        | 4.9892 | 348  | 2.7113          |
| 2.3266        | 5.9928 | 418  | 2.6972          |
| 2.2489        | 6.9964 | 488  | 2.7195          |
| 2.1813        | 8.0    | 558  | 2.7573          |
| 2.2002        | 8.9892 | 627  | 2.7826          |
| 2.0955        | 9.8925 | 690  | 2.7929          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1