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. It achieves the following results on the evaluation set:

• eval_loss: 0.7828
• eval_accuracy: 0.7556
• eval_runtime: 13.7596
• eval_samples_per_second: 6.541
• eval_steps_per_second: 3.27
• epoch: 2.99
• step: 303

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.17.0
• Tokenizers 0.15.2