---
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: 2.9838

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.822         | 0.01  | 1    | 2.7914          |
| 2.4718        | 0.15  | 17   | 2.4825          |
| 2.4643        | 0.31  | 34   | 2.4859          |
| 2.4417        | 0.46  | 51   | 2.4764          |
| 2.4343        | 0.62  | 68   | 2.4696          |
| 2.4312        | 0.77  | 85   | 2.4645          |
| 2.385         | 0.92  | 102  | 2.4511          |
| 1.5771        | 1.05  | 119  | 2.5741          |
| 1.4889        | 1.21  | 136  | 2.5933          |
| 1.4574        | 1.36  | 153  | 2.6168          |
| 1.493         | 1.52  | 170  | 2.6088          |
| 1.4544        | 1.67  | 187  | 2.6049          |
| 1.4422        | 1.82  | 204  | 2.5967          |
| 1.3711        | 1.98  | 221  | 2.6013          |
| 0.7967        | 2.11  | 238  | 3.1609          |
| 0.7342        | 2.26  | 255  | 3.0085          |
| 0.7731        | 2.42  | 272  | 2.9758          |
| 0.7546        | 2.57  | 289  | 2.9832          |
| 0.7936        | 2.72  | 306  | 2.9837          |
| 0.7374        | 2.88  | 323  | 2.9838          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1