
<!-- 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: 1.4144

## 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: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 300
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6699        | 0.02  | 20   | 1.5921          |
| 1.3657        | 0.04  | 40   | 1.5729          |
| 1.5918        | 0.07  | 60   | 1.5610          |
| 1.6343        | 0.09  | 80   | 1.5550          |
| 1.5015        | 0.11  | 100  | 1.5456          |
| 1.5233        | 0.13  | 120  | 1.5392          |
| 1.5025        | 0.15  | 140  | 1.5314          |
| 1.6424        | 0.18  | 160  | 1.5275          |
| 1.6267        | 0.2   | 180  | 1.5219          |
| 1.4698        | 0.22  | 200  | 1.5174          |
| 1.4297        | 0.24  | 220  | 1.5131          |
| 1.4826        | 0.26  | 240  | 1.5065          |
| 1.3671        | 0.29  | 260  | 1.4998          |
| 1.3661        | 0.31  | 280  | 1.4971          |
| 1.3012        | 0.33  | 300  | 1.4908          |
| 1.7249        | 0.35  | 320  | 1.4869          |
| 1.1596        | 0.37  | 340  | 1.4837          |
| 1.3188        | 0.4   | 360  | 1.4806          |
| 1.5087        | 0.42  | 380  | 1.4785          |
| 1.6028        | 0.44  | 400  | 1.4739          |
| 1.4167        | 0.46  | 420  | 1.4715          |
| 1.4823        | 0.48  | 440  | 1.4666          |
| 1.5418        | 0.51  | 460  | 1.4637          |
| 1.6369        | 0.53  | 480  | 1.4619          |
| 1.5098        | 0.55  | 500  | 1.4604          |
| 1.5404        | 0.57  | 520  | 1.4586          |
| 1.4594        | 0.6   | 540  | 1.4539          |
| 1.6358        | 0.62  | 560  | 1.4516          |
| 1.5025        | 0.64  | 580  | 1.4481          |
| 1.5119        | 0.66  | 600  | 1.4455          |
| 1.4617        | 0.68  | 620  | 1.4444          |
| 1.5281        | 0.71  | 640  | 1.4422          |
| 1.3506        | 0.73  | 660  | 1.4400          |
| 1.4467        | 0.75  | 680  | 1.4379          |
| 1.3382        | 0.77  | 700  | 1.4393          |
| 1.4894        | 0.79  | 720  | 1.4361          |
| 1.496         | 0.82  | 740  | 1.4329          |
| 1.516         | 0.84  | 760  | 1.4314          |
| 1.4118        | 0.86  | 780  | 1.4303          |
| 1.5408        | 0.88  | 800  | 1.4259          |
| 1.5307        | 0.9   | 820  | 1.4254          |
| 1.5376        | 0.93  | 840  | 1.4227          |
| 1.4129        | 0.95  | 860  | 1.4190          |
| 1.7808        | 0.97  | 880  | 1.4154          |
| 1.3279        | 0.99  | 900  | 1.4144          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "out", "results": []}]}
transformers pytorch mistral text-generation generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us