clinical-assistance/whisper_medium_clinical_assistance_10k

Whisper Chilean Spanish Medium

This model is a fine-tuned version of openai/whisper-medium on the Mezosky/es_clinical_assistance_10k dataset. It achieves the following results on the evaluation set:

• Loss: 0.1058
• Wer: 7.7745

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: 16
• 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: 500
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6275	0.17	100	0.5455	13.3333
0.185	0.34	200	0.1782	10.7316
0.1523	0.51	300	0.1539	10.9106
0.1373	0.69	400	0.1399	10.1329
0.1538	0.86	500	0.1322	17.5493
0.1007	1.03	600	0.1238	8.4963
0.0782	1.2	700	0.1187	8.4599
0.0722	1.37	800	0.1128	7.8137
0.0715	1.54	900	0.1081	7.6934
0.0927	1.72	1000	0.1058	7.7745

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2