Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilhubert-finetuned-gtzan – AI Model by JanLilan | AlphaNeural AI
You can deploy this model and start earning money today!
JanLilan
/
distilhubert-finetuned-gtzan
like
0
transformers
pytorch
tensorboard
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
apache-2.0
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: 1.8796
Accuracy: 0.49
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.7942
1.0
113
1.8796
0.49
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
