bqtsio/whisper-tiny-med

Whisper Tiny

This model is a fine-tuned version of openai/whisper-tiny.en on the Medical STT dataset. It achieves the following results on the evaluation set:

• Loss: 0.1729
• Wer Ortho: 6.7344
• Wer: 4.8398

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.1257	1.2563	500	0.1729	6.7344	4.8398

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0