Rakib/whisper-tiny-bn

Whisper Tiny Bengali

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 bn dataset. It achieves the following results on the evaluation set:

• Loss: 0.2314
• Wer: 32.8977

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: 16
• eval_batch_size: 8
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3362	0.96	1000	0.3536	45.0860
0.2395	1.91	2000	0.2745	37.1714
0.205	2.87	3000	0.2485	34.7353
0.1795	3.83	4000	0.2352	33.2469
0.1578	4.78	5000	0.2314	32.8977

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2