whisper-tiny-indo – AI Model by NaufalAqil18 | AlphaNeural AI

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NaufalAqil18/
whisper-tiny-indo

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-indo

This model is a fine-tuned version of openai/whisper-tiny on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3945
Wer: 32.9085
Cer: 15.0217

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: 32
eval_batch_size: 16
seed: 42
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: 500
training_steps: 5180
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.6158	1.0998	1036	0.4683	36.4109	15.8020
0.3037	3.0994	2072	0.4146	33.6021	14.0364
0.1564	5.0990	3108	0.4005	31.8769	13.0228
0.1035	7.0986	4144	0.3990	31.6948	13.7883
0.0765	9.0983	5180	0.3945	32.9085	15.0217

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2