Dev372/HarshDev-whisper-small-English_4000

English Whisper Model

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

• Loss: 0.1085
• Wer: 6.6812

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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0268	3.0030	1000	0.1019	6.4189
0.0017	6.0060	2000	0.1010	5.6903
0.0012	9.0090	3000	0.1064	6.6302
0.0001	12.0120	4000	0.1085	6.6812

Framework versions

• Transformers 4.42.2
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1