Ast Finetuned Audioset 10 10 0.4593 Finetuned Gtzan

🚀 ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

This model is a fine - tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the GTZAN dataset, which can be used for audio classification tasks and achieves good accuracy on the evaluation set.

🚀 Quick Start

This model is a fine - tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 0.5321
• Accuracy: 0.89

📚 Documentation

Model Information

Model Index

• Name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan Results:
  • Task: Type: audio - classification Name: Audio Classification Dataset: Name: GTZAN Type: marsyas/gtzan Config: all Split: train Args: all Metrics:
    • Type: accuracy Value: 0.89 Name: Accuracy

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e - 06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon = 1e - 08 and optimizer_args = No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training Results

Framework Versions

• Transformers 4.46.0
• Pytorch 2.5.0
• Datasets 3.0.2
• Tokenizers 0.20.1

📄 License

This model is licensed under the bsd - 3 - clause license.