davidwei111/whisper-medium-medical

Whisper Medium Medical

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

• Loss: 0.0577
• Wer: 16.0270

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: 32
• 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: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4859	0.5405	100	0.1945	15.5926
0.1037	1.0811	200	0.0849	12.5754
0.0558	1.6216	300	0.0633	17.3787
0.0244	2.1622	400	0.0631	13.7581
0.0123	2.7027	500	0.0577	16.0270

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0