ast-gtzan

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

• Loss: 0.6011
• Accuracy: 0.87

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: 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
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	100	1.2436	0.575
No log	2.0	200	0.6776	0.765
No log	3.0	300	0.5227	0.815
No log	4.0	400	0.6133	0.805
0.6647	5.0	500	0.6569	0.82
0.6647	6.0	600	0.6299	0.855
0.6647	7.0	700	0.6213	0.85
0.6647	8.0	800	0.6398	0.85
0.6647	9.0	900	0.6011	0.87
0.0343	10.0	1000	0.6092	0.87

Framework versions

• Transformers 4.39.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.15.2