phowhisper-medium-finetuned-noisy-bioasr

This model is a fine-tuned version of vinai/PhoWhisper-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.0217
• Wer Ortho: 66.9173
• Wer: 60.9023

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
6.9397	0.32	2	5.2417	67.6692	61.6541
5.1751	0.64	4	4.4155	66.9173	60.9023
3.7293	0.96	6	4.0217	66.9173	60.9023

Framework versions

• Transformers 4.52.4
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1