Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
asr_java_result_full – AI Model by bagasshw | AlphaNeural AI
You can deploy this model and start earning money today!
bagasshw
/
asr_java_result_full
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
javanese
asr
generated_from_trainer
jv
jv_id_asr_split
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Tiny Java
This model is a fine-tuned version of
openai/whisper-tiny
on the jv_id_asr_split dataset. It achieves the following results on the evaluation set:
Loss: 0.8570
Wer: 0.6128
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: 1e-05
train_batch_size: 64
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.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_steps: 30
training_steps: 150
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.0753
0.0259
30
1.0360
0.7042
0.9233
0.0519
60
0.9441
0.6614
0.8769
0.0778
90
0.8938
0.6292
0.8629
0.1037
120
0.8660
0.6229
0.8423
0.1296
150
0.8570
0.6128
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
