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

Loss: 0.2409
Wer: 18.2837

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
0.4103	0.66	1000	0.3802	27.0497
0.2682	1.32	2000	0.3223	22.9365
0.2381	1.99	3000	0.2884	20.8245
0.1606	2.65	4000	0.2727	20.1928
0.1246	3.31	5000	0.2596	18.9984
0.1344	3.97	6000	0.2482	18.7540
0.0975	4.63	7000	0.2471	18.6388
0.0916	5.29	8000	0.2436	18.9615
0.0854	5.96	9000	0.2413	18.3114
0.0812	6.62	10000	0.2409	18.2837

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

cahya/whisper-tiny-id

Whisper Tiny Indonesian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cahya/
whisper-tiny-id