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cahya/
whisper-small-id

Name: whisper-small-id
Availability: InStock

automatic-speech-recognition

whisper-event

generated_from_trainer

model-index

endpoints_compatible

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Whisper Small Indonesian

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0, magic_data, titml, google/fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.1022
Wer: 6.0592

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.173	0.66	1000	0.1654	9.8773
0.0771	1.32	2000	0.1290	7.7515
0.0569	1.99	3000	0.1056	7.1475
0.0274	2.65	4000	0.1044	6.6264
0.0072	3.31	5000	0.1023	6.3543
0.009	3.97	6000	0.1000	6.3359
0.0033	4.63	7000	0.1022	6.0592
0.002	5.29	8000	0.1051	6.1560
0.0028	5.96	9000	0.1052	6.1007
0.0013	6.62	10000	0.1063	6.1376

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.10.2+cu102
Datasets 2.7.0
Tokenizers 0.13.1

cahya/whisper-small-id

Whisper Small Indonesian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cahya/
whisper-small-id