|
--- |
|
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 |
|
|
|
 |
|
|
|
*** |
|
|
|
### Project Los Angeles |
|
### Tegridy Code 2024 |
|
|
|
<!-- 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. --> |
|
|
|
# fine-tuned-model |
|
|
|
This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown 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 |
