TheRains/cv9-special-batch4-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: 0.3697
• Wer: 23.4000

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: 4
• eval_batch_size: 2
• 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
0.5013	0.48	1000	0.4523	28.5990
0.4145	0.97	2000	0.4067	25.8109
0.2437	1.45	3000	0.3821	24.3800
0.2566	1.94	4000	0.3695	23.9798
0.1161	2.42	5000	0.3697	23.4000

Framework versions

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