sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-finetuned-gtzan-se-2

distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-finetuned-gtzan

This model is a fine-tuned version of sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2 on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 1.2073
• Accuracy: 0.81

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: Use 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
0.0759	0.9956	112	0.9223	0.84
0.0011	2.0	225	1.1652	0.82
0.0004	2.9867	336	1.2073	0.81

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3