---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: asgm5-test-v0
  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. -->

# asgm5-test-v0

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: 1.3325

## 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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.4565        | 0.9231  | 6    | 3.7292          |
| 3.1094        | 2.0     | 13   | 2.9011          |
| 2.8867        | 2.9231  | 19   | 2.4011          |
| 1.955         | 4.0     | 26   | 1.8841          |
| 1.8128        | 4.9231  | 32   | 1.6067          |
| 1.278         | 6.0     | 39   | 1.4245          |
| 1.3578        | 6.9231  | 45   | 1.3817          |
| 1.1568        | 8.0     | 52   | 1.3549          |
| 1.3163        | 8.9231  | 58   | 1.3424          |
| 1.0936        | 10.0    | 65   | 1.3346          |
| 1.2942        | 10.9231 | 71   | 1.3327          |
| 0.4425        | 11.0769 | 72   | 1.3325          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1