---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: qlora-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)
# qlora-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: 0.5631

## 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: 0.0004
- 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: 300
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8335        | 0.06  | 20   | 0.6429          |
| 0.6725        | 0.12  | 40   | 0.5888          |
| 0.5927        | 0.18  | 60   | 0.5603          |
| 0.5847        | 0.24  | 80   | 0.5362          |
| 0.5552        | 0.3   | 100  | 0.5256          |
| 0.5511        | 0.36  | 120  | 0.5243          |
| 0.5466        | 0.42  | 140  | 0.5102          |
| 0.4395        | 0.48  | 160  | 0.5065          |
| 0.6854        | 0.54  | 180  | 0.4971          |
| 0.7326        | 0.6   | 200  | 0.5150          |
| 0.8204        | 0.66  | 220  | 0.5008          |
| 0.6009        | 0.72  | 240  | 0.4972          |
| 0.4471        | 0.78  | 260  | 0.4944          |
| 0.5934        | 0.84  | 280  | 0.5146          |
| 0.6574        | 0.9   | 300  | 0.5057          |
| 0.4566        | 0.96  | 320  | 0.4880          |
| 0.6119        | 1.02  | 340  | 0.5442          |
| 0.3779        | 1.08  | 360  | 0.5540          |
| 0.4431        | 1.14  | 380  | 0.5375          |
| 0.38          | 1.2   | 400  | 0.5541          |
| 0.4542        | 1.26  | 420  | 0.5359          |
| 0.5392        | 1.32  | 440  | 0.5394          |
| 0.2573        | 1.38  | 460  | 0.5318          |
| 0.5441        | 1.44  | 480  | 0.5201          |
| 0.3758        | 1.5   | 500  | 0.5147          |
| 0.4403        | 1.56  | 520  | 0.5134          |
| 0.3308        | 1.62  | 540  | 0.5289          |
| 0.4604        | 1.68  | 560  | 0.5205          |
| 0.4479        | 1.74  | 580  | 0.5340          |
| 0.521         | 1.8   | 600  | 0.5094          |
| 0.32          | 1.86  | 620  | 0.4995          |
| 0.3984        | 1.92  | 640  | 0.4878          |
| 0.3799        | 1.98  | 660  | 0.4826          |
| 0.1484        | 2.04  | 680  | 0.7261          |
| 0.3305        | 2.1   | 700  | 0.6187          |
| 0.1477        | 2.16  | 720  | 0.5499          |
| 0.176         | 2.22  | 740  | 0.5796          |
| 0.1892        | 2.28  | 760  | 0.5717          |
| 0.1921        | 2.34  | 780  | 0.5416          |
| 0.1366        | 2.4   | 800  | 0.5866          |
| 0.1726        | 2.46  | 820  | 0.5562          |
| 0.1264        | 2.51  | 840  | 0.5621          |
| 0.2054        | 2.57  | 860  | 0.5678          |
| 0.1722        | 2.63  | 880  | 0.5573          |
| 0.2399        | 2.69  | 900  | 0.5553          |
| 0.229         | 2.75  | 920  | 0.5565          |
| 0.1876        | 2.81  | 940  | 0.5609          |
| 0.2281        | 2.87  | 960  | 0.5633          |
| 0.1727        | 2.93  | 980  | 0.5645          |
| 0.3536        | 2.99  | 1000 | 0.5631          |


### Framework versions

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