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MIDIstral_pixtral
asigalov61/MIDIstral_pixtral
MIDIstral_pixtral is a audio classification model from asigalov61. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
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At a glance
- Task
- Audio Classification
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Nov 27, 2024
- Updated
- Nov 28, 2024
- SHA
- 35dfe932
Base models
Datasets
Model card
From the Hugging Face model README
MIDIstral
Pixtral for MIDI
This model is a fine-tuned version of 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
- Task
- Audio Classification
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Nov 27, 2024
- Updated
- Nov 28, 2024