yonisaka
/

whisper-tiny-id-v1

Automatic Speech Recognition

Generated from Trainer

Model card Files Files and versions

Metrics Training metrics Community

whisper-tiny-id-v1

This model is a fine-tuned version of openai/whisper-tiny on the ASR Medical 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: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.48.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Downloads last month: 1

Safetensors

Model size

37.8M params

Tensor type

F32

·

Model tree for yonisaka/whisper-tiny-id-v1

Base model

openai/whisper-tiny

Finetuned

(1843)

this model

Dataset used to train yonisaka/whisper-tiny-id-v1