distilhubert-finetuned-gtzan-v3-b

This model is a fine-tuned version of leofltt/distilhubert-finetuned-gtzan-v3 on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 0.0633
• Accuracy: 0.99

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.2092	1.0	113	0.1285	0.97
0.1334	2.0	226	0.0574	0.99
0.0138	3.0	339	0.0633	0.99

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2