license, base_model, tags, datasets, metrics, model-index

license	base_model	tags	datasets	metrics	model-index
apache-2.0	openai/whisper-medium	generated_from_trainer	yashtiwari/PaulMooney-Medical-ASR-Data	wer	name results Whisper Medium Medical task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type Medical ASR yashtiwari/PaulMooney-Medical-ASR-Data name type value Wer wer 16.051170649287954

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: 0.0567
• Wer: 16.0512

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
0.4817	0.5405	100	0.1982	12.8651
0.104	1.0811	200	0.0839	10.3065
0.0549	1.6216	300	0.0643	15.9063
0.0245	2.1622	400	0.0610	14.0961
0.012	2.7027	500	0.0567	16.0512

Framework versions

• Transformers 4.42.4
• Pytorch 2.2.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1