tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: legal-mistral-v2
  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-v2

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: 1.9807

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9084        | 0.09  | 100  | 2.5259          |
| 2.5097        | 0.17  | 200  | 2.3141          |
| 2.377         | 0.26  | 300  | 2.1949          |
| 2.2432        | 0.34  | 400  | 2.1256          |
| 2.215         | 0.43  | 500  | 2.0810          |
| 2.1517        | 0.52  | 600  | 2.0496          |
| 2.0899        | 0.6   | 700  | 2.0256          |
| 2.0947        | 0.69  | 800  | 2.0088          |
| 2.0748        | 0.77  | 900  | 1.9961          |
| 2.0845        | 0.86  | 1000 | 1.9865          |
| 2.0586        | 0.95  | 1100 | 1.9807          |


### Framework versions

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