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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DemPy-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: 0.5489

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9243        | 1.0   | 198  | 0.6158          |
| 0.5792        | 2.0   | 396  | 0.5695          |
| 0.5372        | 3.0   | 594  | 0.5498          |
| 0.5085        | 4.0   | 793  | 0.5406          |
| 0.491         | 5.0   | 991  | 0.5361          |
| 0.4736        | 6.0   | 1189 | 0.5337          |
| 0.4581        | 7.0   | 1387 | 0.5362          |
| 0.4416        | 8.0   | 1586 | 0.5397          |
| 0.43          | 9.0   | 1784 | 0.5426          |
| 0.4175        | 9.99  | 1980 | 0.5489          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1