---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: legal-mistral
  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. -->

# legal-mistral

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3540

## 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: 80
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4243        | 0.17  | 10   | 2.5809          |
| 2.32          | 0.34  | 20   | 2.5187          |
| 2.2652        | 0.52  | 30   | 2.4796          |
| 2.2424        | 0.69  | 40   | 2.4498          |
| 2.1759        | 0.86  | 50   | 2.4304          |
| 2.1698        | 1.03  | 60   | 2.4161          |
| 2.1337        | 1.21  | 70   | 2.4035          |
| 2.1193        | 1.38  | 80   | 2.3962          |
| 2.0928        | 1.55  | 90   | 2.3852          |
| 2.1072        | 1.72  | 100  | 2.3763          |
| 2.0701        | 1.9   | 110  | 2.3709          |
| 2.0584        | 2.07  | 120  | 2.3670          |
| 2.0569        | 2.24  | 130  | 2.3638          |
| 2.0396        | 2.41  | 140  | 2.3619          |
| 2.0406        | 2.59  | 150  | 2.3584          |
| 2.0259        | 2.76  | 160  | 2.3552          |
| 2.0492        | 2.93  | 170  | 2.3540          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0