cahya/whisper-tiny-id

Whisper Tiny Indonesian

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