Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilhubert-finetuned-gtzan – AI Model by powervel | AlphaNeural AI
You can deploy this model and start earning money today!
powervel
/
distilhubert-finetuned-gtzan
like
0
transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
gtzan
ntu-spml/distilhubert
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilhubert-finetuned-gtzan
This model is a fine-tuned version of
ntu-spml/distilhubert
on the gtzan dataset. It achieves the following results on the evaluation set:
Loss: 1.8675
Accuracy: 0.44
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.9878
1.0
113
1.8675
0.44
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
