TheRains/cv9-special-batch12-tiny

Whisper Small Indonesian

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_9_0 id dataset. It achieves the following results on the evaluation set:

• Loss: 0.5086
• Wer: 32.1003

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: 12
• eval_batch_size: 6
• 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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5121	1.45	1000	0.5645	36.2595
0.3401	2.9	2000	0.5052	32.9377
0.1855	4.35	3000	0.5086	32.1003
0.1638	5.81	4000	0.5088	32.1831
0.1047	7.26	5000	0.5143	32.1601

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3