Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
hubert-noise – AI Model by zylin12 | AlphaNeural AI
You can deploy this model and start earning money today!
zylin12
/
hubert-noise
like
0
transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
facebook/hubert-base-ls960
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
hubert-noise
This model is a fine-tuned version of
facebook/hubert-base-ls960
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1837
Accuracy: 0.9376
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1504
1.0
30159
0.1837
0.9376
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1