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

# results

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: 1.7839

## 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: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 80
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1649        | 1.0   | 1    | 4.3052          |
| 2.1595        | 2.0   | 2    | 3.9177          |
| 1.9661        | 3.0   | 3    | 3.1663          |
| 1.5727        | 4.0   | 4    | 2.6769          |
| 1.3371        | 5.0   | 5    | 2.4213          |
| 1.2116        | 6.0   | 6    | 2.2232          |
| 1.1114        | 7.0   | 7    | 2.0560          |
| 1.0296        | 8.0   | 8    | 1.9239          |
| 0.9679        | 9.0   | 9    | 1.8329          |
| 0.9227        | 10.0  | 10   | 1.7839          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1