---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: runpod-test-2
  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. -->

# runpod-test-2

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1686

## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2091        | 1.0   | 10   | 1.2002          |
| 1.1933        | 2.0   | 20   | 1.1868          |
| 1.181         | 3.0   | 30   | 1.1769          |
| 1.1728        | 4.0   | 40   | 1.1708          |
| 1.1683        | 5.0   | 50   | 1.1686          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.0
- Tokenizers 0.21.1