arun100/whisper-tiny-bn-1

Whisper Base Bengali

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_16_0 bn dataset. It achieves the following results on the evaluation set:

• Loss: 0.4033
• Wer: 48.4864

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-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• 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
1.084	3.03	1000	1.0815	89.0822
0.4981	6.05	2000	0.5253	58.1107
0.417	10.02	3000	0.4404	51.4890
0.3759	13.04	4000	0.4114	49.1128
0.3841	17.01	5000	0.4033	48.4864

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.16.2.dev0
• Tokenizers 0.15.0