---
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: 6.8300

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2465        | 0.16  | 20   | 1.1498          |
| 8.597         | 0.32  | 40   | 8.5500          |
| 8.0391        | 0.48  | 60   | 7.6701          |
| 7.2703        | 0.65  | 80   | 7.4684          |
| 8.1368        | 0.81  | 100  | 7.7743          |
| 7.3305        | 0.97  | 120  | 7.3737          |
| 7.0599        | 1.13  | 140  | 7.2302          |
| 6.9011        | 1.29  | 160  | 7.1971          |
| 7.2194        | 1.45  | 180  | 7.0846          |
| 7.2281        | 1.61  | 200  | 7.0792          |
| 7.3379        | 1.77  | 220  | 7.0411          |
| 7.1461        | 1.94  | 240  | 7.0113          |
| 7.113         | 2.1   | 260  | 6.9626          |
| 6.7317        | 2.26  | 280  | 7.0031          |
| 6.8143        | 2.42  | 300  | 6.9219          |
| 6.9195        | 2.58  | 320  | 6.8336          |
| 6.3028        | 2.74  | 340  | 6.8596          |
| 6.8106        | 2.9   | 360  | 6.8300          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0