Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilhubert-finetuned-gtzan-barra – AI Model by victorbarra | AlphaNeural AI
You can deploy this model and start earning money today!
victorbarra
/
distilhubert-finetuned-gtzan-barra
like
0
transformers
safetensors
hubert
audio-classification
generated_from_trainer
marsyas/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-barra
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: 0.9337
Accuracy: 0.76
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: 3
total_train_batch_size: 12
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.906
1.0
75
1.8057
0.55
1.3207
2.0
150
1.3071
0.64
1.1483
3.0
225
1.1382
0.68
0.8834
4.0
300
0.9863
0.73
0.7823
5.0
375
0.9337
0.76
Framework versions
Transformers 4.44.2
Pytorch 2.1.0+cu118
Datasets 3.0.0
Tokenizers 0.19.1
