Musical-genres-Classification-Hubert-V1-finetuned-gtzan

This model is a fine-tuned version of SeyedAli/Musical-genres-Classification-Hubert-V1 on the GTZAN dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6442
• eval_accuracy: 0.87
• eval_runtime: 48.7625
• eval_samples_per_second: 2.051
• eval_steps_per_second: 0.513
• epoch: 2.0
• step: 450

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.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: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1