---
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: 0.5477

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8333        | 0.06  | 20   | 0.6411          |
| 0.6715        | 0.12  | 40   | 0.5899          |
| 0.5905        | 0.18  | 60   | 0.5573          |
| 0.5845        | 0.24  | 80   | 0.5342          |
| 0.5524        | 0.3   | 100  | 0.5260          |
| 0.5516        | 0.36  | 120  | 0.5273          |
| 0.5465        | 0.42  | 140  | 0.5132          |
| 0.439         | 0.48  | 160  | 0.5085          |
| 0.6857        | 0.54  | 180  | 0.4982          |
| 0.7326        | 0.6   | 200  | 0.5096          |
| 0.8225        | 0.66  | 220  | 0.5080          |
| 0.6148        | 0.72  | 240  | 0.4883          |
| 0.4524        | 0.78  | 260  | 0.4970          |
| 0.6084        | 0.84  | 280  | 0.5425          |
| 0.6737        | 0.9   | 300  | 0.5059          |
| 0.459         | 0.96  | 320  | 0.4968          |
| 0.6138        | 1.02  | 340  | 0.5111          |
| 0.4023        | 1.08  | 360  | 0.5499          |
| 0.4406        | 1.14  | 380  | 0.5657          |
| 0.4054        | 1.2   | 400  | 0.5387          |
| 0.4707        | 1.26  | 420  | 0.5698          |
| 0.577         | 1.32  | 440  | 0.5181          |
| 0.279         | 1.38  | 460  | 0.5243          |
| 0.5576        | 1.44  | 480  | 0.5172          |
| 0.382         | 1.5   | 500  | 0.5178          |
| 0.4541        | 1.56  | 520  | 0.5166          |
| 0.339         | 1.62  | 540  | 0.5087          |
| 0.4609        | 1.68  | 560  | 0.5257          |
| 0.4768        | 1.74  | 580  | 0.4990          |
| 0.5313        | 1.8   | 600  | 0.4952          |
| 0.347         | 1.86  | 620  | 0.4823          |
| 0.4216        | 1.92  | 640  | 0.4832          |
| 0.3905        | 1.98  | 660  | 0.4748          |
| 0.1525        | 2.04  | 680  | 0.6280          |
| 0.3269        | 2.1   | 700  | 0.5995          |
| 0.1502        | 2.16  | 720  | 0.5412          |
| 0.1845        | 2.22  | 740  | 0.5421          |
| 0.2009        | 2.28  | 760  | 0.5564          |
| 0.1896        | 2.34  | 780  | 0.5275          |
| 0.1433        | 2.4   | 800  | 0.5569          |
| 0.1758        | 2.46  | 820  | 0.5463          |
| 0.1336        | 2.51  | 840  | 0.5564          |
| 0.2063        | 2.57  | 860  | 0.5505          |
| 0.1724        | 2.63  | 880  | 0.5392          |
| 0.2444        | 2.69  | 900  | 0.5468          |
| 0.2315        | 2.75  | 920  | 0.5484          |
| 0.194         | 2.81  | 940  | 0.5492          |
| 0.2251        | 2.87  | 960  | 0.5483          |
| 0.1779        | 2.93  | 980  | 0.5484          |
| 0.3551        | 2.99  | 1000 | 0.5477          |


### Framework versions

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