---
license: apache-2.0
language:
- en
base_model:
- mistralai/Pixtral-12B-2409
- mistral-community/pixtral-12b
pipeline_tag: audio-classification
tags:
- MIDI
- Mistral
- Pixtral
- MIDIstral
- music
- MIDI-to-text
- MIDI-classification
- MIDI-description
datasets:
- asigalov61/MIDIstral
library_name: peft
model-index:
- name: MIDIstral
  results: []
---

# MIDIstral
## Pixtral for MIDI

![MIDIstral-Logo.jpg](https://cdn-uploads.huggingface.co/production/uploads/5f57ea2d3f32f12a3c0692e6/Gn0IEHs0PiQSzpR5vs5nD.jpeg)

***

This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on MIDIstral dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.4113
- eval_runtime: 29.753
- eval_samples_per_second: 3.832
- eval_steps_per_second: 0.504
- epoch: 0.3605
- step: 5130

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 1

### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.20.4

***

### Project Los Angeles
### Tegridy Code 2024