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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- mistralai/Pixtral-12B-2409 |
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- mistral-community/pixtral-12b |
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pipeline_tag: audio-classification |
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tags: |
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- MIDI |
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- Mistral |
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- Pixtral |
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- MIDIstral |
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- music |
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- MIDI-to-text |
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- MIDI-classification |
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- MIDI-description |
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datasets: |
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- asigalov61/MIDIstral |
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library_name: peft |
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model-index: |
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- name: MIDIstral |
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results: [] |
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--- |
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# MIDIstral |
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## Pixtral for MIDI |
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*** |
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This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on MIDIstral dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.4113 |
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- eval_runtime: 29.753 |
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- eval_samples_per_second: 3.832 |
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- eval_steps_per_second: 0.504 |
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- epoch: 0.3605 |
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- step: 5130 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- num_epochs: 1 |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.3 |
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- Pytorch 2.4.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.4 |
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*** |
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### Project Los Angeles |
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### Tegridy Code 2024 |
