distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-finetuned-gtzan

This model is a fine-tuned version of duysal/distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 0.5765
• Accuracy: 0.85

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: 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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1601	1.0	113	0.5812	0.83
0.1855	2.0	226	0.5522	0.86
0.0665	2.9778	336	0.5765	0.85

Framework versions

• Transformers 4.49.0.dev0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0