jazzhong1_medical_whisper_cut_small_2

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

• Loss: 0.3032
• Cer: 8.2941

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-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3147	0.9381	1000	0.3346	13.2283
0.2144	1.8762	2000	0.2960	9.8543
0.1068	2.8143	3000	0.2950	9.7808
0.0379	3.7523	4000	0.2990	8.5810
0.0097	4.6904	5000	0.3032	8.2941

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1