Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-finetuned-gtzan-se-2 – AI Model by sveyek | AlphaNeural AI
You can deploy this model and start earning money today!
sveyek
/
distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-finetuned-gtzan-se-2
like
0
transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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
