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

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: 1.1514

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2103        | 0.0   | 1    | 1.5604          |
| 1.3191        | 0.1   | 192  | 1.2539          |
| 1.1727        | 0.2   | 384  | 1.2346          |
| 1.3466        | 0.3   | 576  | 1.2171          |
| 0.9652        | 0.4   | 768  | 1.2073          |
| 0.996         | 0.5   | 960  | 1.1920          |
| 0.7863        | 0.6   | 1152 | 1.1804          |
| 0.8883        | 0.7   | 1344 | 1.1700          |
| 0.9351        | 0.8   | 1536 | 1.1590          |
| 0.8361        | 0.9   | 1728 | 1.1511          |
| 1.2718        | 1.0   | 1920 | 1.1438          |
| 0.9613        | 1.09  | 2112 | 1.1585          |
| 1.4066        | 1.19  | 2304 | 1.1550          |
| 0.7388        | 1.29  | 2496 | 1.1538          |
| 1.0686        | 1.39  | 2688 | 1.1531          |
| 1.3536        | 1.49  | 2880 | 1.1533          |
| 0.4994        | 1.59  | 3072 | 1.1517          |
| 0.7574        | 1.69  | 3264 | 1.1519          |
| 0.7574        | 1.79  | 3456 | 1.1516          |
| 1.1436        | 1.89  | 3648 | 1.1514          |
| 1.4085        | 1.99  | 3840 | 1.1514          |


### Framework versions

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