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

# jk-req

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: 0.4598

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.9818        | 0.9524 | 5    | 1.5863          |
| 1.4742        | 1.9048 | 10   | 1.2134          |
| 1.1007        | 2.8571 | 15   | 0.9242          |
| 0.6604        | 4.0    | 21   | 0.6552          |
| 0.5768        | 4.9524 | 26   | 0.5561          |
| 0.4812        | 5.9048 | 31   | 0.5101          |
| 0.4361        | 6.8571 | 36   | 0.4809          |
| 0.3387        | 8.0    | 42   | 0.4651          |
| 0.3938        | 8.9524 | 47   | 0.4607          |
| 0.3506        | 9.5238 | 50   | 0.4598          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1