---
base_model: mistralai/Mistral-7B-v0.3
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Mistral-7B-fine
  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. -->

# Mistral-7B-fine

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8107

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 19   | 2.3485          |
| No log        | 2.0   | 38   | 2.6390          |
| No log        | 3.0   | 57   | 2.8107          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.19.1