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whisper-id – AI Model by kesavamas | AlphaNeural AI

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kesavamas/
whisper-id

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-base

endpoints_compatible

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whisper-id

This model is a fine-tuned version of openai/whisper-base on the common voice scripted speech 24.0 - Indonesian dataset.

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 364
training_steps: 3636
mixed_precision_training: Native AMP

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2