TheRains/cv9-special-batch12-base

Whisper Small Indonesian

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

• Loss: 0.4079
• Wer: 23.7727

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
0.3536	1.45	1000	0.4083	26.1882
0.2171	2.9	2000	0.3794	24.4813
0.0604	4.35	3000	0.3954	24.5595
0.0531	5.81	4000	0.4079	23.7727
0.0245	7.26	5000	0.4240	23.9291

Framework versions

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