Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Model_G_S_Berita_Wav2Vec2_Version2 – AI Model by rossevine | AlphaNeural AI
You can deploy this model and start earning money today!
rossevine
/
Model_G_S_Berita_Wav2Vec2_Version2
like
0
transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Model_G_S_Berita_Wav2Vec2_Version2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4915
Wer: 0.4678
Cer: 0.0902
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.3249
13.79
400
0.4083
0.4049
0.0769
0.0209
27.59
800
0.4915
0.4678
0.0902
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3
