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

# ft-poc

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: 0.5077

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6207        | 0.91  | 5    | 2.8472          |
| 2.1794        | 2.0   | 11   | 1.9461          |
| 1.8396        | 2.91  | 16   | 1.4070          |
| 1.0288        | 4.0   | 22   | 0.8795          |
| 0.7943        | 4.91  | 27   | 0.6335          |
| 0.5105        | 6.0   | 33   | 0.5606          |
| 0.5624        | 6.91  | 38   | 0.5307          |
| 0.4441        | 8.0   | 44   | 0.5145          |
| 0.5156        | 8.91  | 49   | 0.5080          |
| 0.2438        | 9.09  | 50   | 0.5077          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2