---
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: 0.6050

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3314        | 1.0   | 5    | 1.9312          |
| 1.7381        | 2.0   | 10   | 1.4899          |
| 1.3108        | 3.0   | 15   | 1.1581          |
| 0.9634        | 4.0   | 20   | 0.9015          |
| 0.718         | 5.0   | 25   | 0.7503          |
| 0.5738        | 6.0   | 30   | 0.6664          |
| 0.4784        | 7.0   | 35   | 0.6163          |
| 0.4266        | 8.0   | 40   | 0.6102          |
| 0.4016        | 9.0   | 45   | 0.6052          |
| 0.3864        | 10.0  | 50   | 0.6050          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2