MIDIstral_pixtral / README.md
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metadata
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


Project Los Angeles

Tegridy Code 2024

fine-tuned-model

This model is a fine-tuned version of 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