distilhubert-finetuned-gtzan

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

• Loss: 2.1780
• Accuracy: 0.2

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2933	0.92	6	2.2317	0.2
2.2574	2.0	13	2.2160	0.2
2.2	2.92	19	2.1979	0.2
2.1631	4.0	26	2.1831	0.2
2.151	4.62	30	2.1780	0.2

Framework versions

• Transformers 4.32.0
• Pytorch 2.8.0+cu128
• Datasets 3.4.1
• Tokenizers 0.13.3