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

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# storage/context

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: 0.0253

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1557        | 0.01  | 1    | 0.1552          |
| 0.0936        | 0.05  | 6    | 0.0695          |
| 0.0447        | 0.1   | 12   | 0.0413          |
| 0.0347        | 0.16  | 18   | 0.0357          |
| 0.0314        | 0.21  | 24   | 0.0324          |
| 0.0306        | 0.26  | 30   | 0.0309          |
| 0.0276        | 0.31  | 36   | 0.0294          |
| 0.028         | 0.36  | 42   | 0.0284          |
| 0.0307        | 0.41  | 48   | 0.0281          |
| 0.0276        | 0.47  | 54   | 0.0274          |
| 0.0251        | 0.52  | 60   | 0.0267          |
| 0.0244        | 0.57  | 66   | 0.0269          |
| 0.0268        | 0.62  | 72   | 0.0263          |
| 0.0249        | 0.67  | 78   | 0.0262          |
| 0.0252        | 0.73  | 84   | 0.0258          |
| 0.0259        | 0.78  | 90   | 0.0257          |
| 0.0241        | 0.83  | 96   | 0.0255          |
| 0.0241        | 0.88  | 102  | 0.0254          |
| 0.0253        | 0.93  | 108  | 0.0254          |
| 0.0234        | 0.98  | 114  | 0.0253          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0