---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: LLM
  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. -->

# LLM

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: 2.1056

## 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: 0.02
- 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: 27

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2807        | 0.92  | 6    | 2.1056          |
| 1.9558        | 2.0   | 13   | 2.1056          |
| 2.2821        | 2.92  | 19   | 2.1056          |
| 1.956         | 4.0   | 26   | 2.1056          |
| 2.2816        | 4.92  | 32   | 2.1056          |
| 1.9561        | 6.0   | 39   | 2.1056          |
| 2.2812        | 6.92  | 45   | 2.1056          |
| 1.9556        | 8.0   | 52   | 2.1056          |
| 2.2815        | 8.92  | 58   | 2.1056          |
| 1.9555        | 10.0  | 65   | 2.1056          |
| 2.2824        | 10.92 | 71   | 2.1056          |
| 1.9554        | 12.0  | 78   | 2.1056          |
| 2.2823        | 12.92 | 84   | 2.1056          |
| 1.9566        | 14.0  | 91   | 2.1056          |
| 2.2814        | 14.92 | 97   | 2.1056          |
| 1.956         | 16.0  | 104  | 2.1056          |
| 2.2829        | 16.92 | 110  | 2.1056          |
| 1.9559        | 18.0  | 117  | 2.1056          |
| 2.2821        | 18.92 | 123  | 2.1056          |
| 1.9556        | 20.0  | 130  | 2.1056          |
| 2.2817        | 20.92 | 136  | 2.1056          |
| 1.9559        | 22.0  | 143  | 2.1056          |
| 2.2816        | 22.92 | 149  | 2.1056          |
| 1.9561        | 24.0  | 156  | 2.1056          |
| 2.1055        | 24.92 | 162  | 2.1056          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2