---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out
  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)
# out

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: 1.3731

## 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: 6e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9422        | 0.02  | 1    | 1.0091          |
| 1.0215        | 0.2   | 13   | 1.0004          |
| 0.9933        | 0.41  | 26   | 1.0071          |
| 0.9197        | 0.61  | 39   | 1.0136          |
| 0.9285        | 0.81  | 52   | 1.0075          |
| 0.5858        | 1.02  | 65   | 1.0082          |
| 0.5522        | 1.22  | 78   | 1.0546          |
| 0.4992        | 1.42  | 91   | 1.0683          |
| 0.6085        | 1.62  | 104  | 1.0638          |
| 0.5118        | 1.83  | 117  | 1.0654          |
| 0.3243        | 2.03  | 130  | 1.1113          |
| 0.3196        | 2.23  | 143  | 1.1957          |
| 0.2582        | 2.44  | 156  | 1.2038          |
| 0.273         | 2.64  | 169  | 1.1949          |
| 0.2818        | 2.84  | 182  | 1.2000          |
| 0.1427        | 3.05  | 195  | 1.2817          |
| 0.1246        | 3.25  | 208  | 1.3245          |
| 0.1394        | 3.45  | 221  | 1.3561          |
| 0.1088        | 3.66  | 234  | 1.3770          |
| 0.0985        | 3.86  | 247  | 1.3731          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.14.0