---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: balagpt-ft2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# balagpt-ft2

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: 0.5664

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.092         | 0.92  | 9    | 1.4516          |
| 1.0312        | 1.95  | 19   | 0.7849          |
| 0.5407        | 2.97  | 29   | 0.5922          |
| 0.4035        | 4.0   | 39   | 0.5433          |
| 0.3684        | 4.92  | 48   | 0.5227          |
| 0.2708        | 5.95  | 58   | 0.5200          |
| 0.2348        | 6.97  | 68   | 0.5358          |
| 0.2091        | 8.0   | 78   | 0.5485          |
| 0.2125        | 8.92  | 87   | 0.5655          |
| 0.1607        | 9.23  | 90   | 0.5664          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2