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---
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
***
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 |