---
license: apache-2.0
base_model: Open-Orca/Mistral-7B-OpenOrca
tags:
- generated_from_trainer
model-index:
- name: mistral-voyager-finetune
  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-voyager-finetune

This model is a fine-tuned version of [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1123

## 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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2728        | 0.48  | 100  | 0.1881          |
| 0.1854        | 0.95  | 200  | 0.1352          |
| 0.09          | 1.43  | 300  | 0.1251          |
| 0.0902        | 1.9   | 400  | 0.1121          |
| 0.062         | 2.38  | 500  | 0.1123          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0