whisper-medium-medical-refined-v1

This model is a fine-tuned version of luiz-milare/whisper-medium-medical-v4 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2670
• Wer: 20.5464

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: 5e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.109	0.4980	141	0.2438	19.8619
0.1185	0.9960	282	0.2499	20.6108
0.1186	1.4909	423	0.2533	21.2426
0.0984	1.9890	564	0.2529	21.1315
0.0734	2.4839	705	0.2710	20.5991
0.077	2.9819	846	0.2670	20.5464

Framework versions

• Transformers 4.52.0
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.21.2