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Bhaveen/
medimix-whisper-fine-tuned

Name: medimix-whisper-fine-tuned
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Whisper Small En Medimix

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

Loss: 0.5352
Wer: 12.2137

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: 32
eval_batch_size: 8
seed: 42
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: linear
lr_scheduler_warmup_steps: 200
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0004	66.6667	200	0.4815	11.8321
0.0001	133.3333	400	0.5102	11.4504
0.0001	200.0	600	0.5246	11.4504
0.0001	266.6667	800	0.5323	12.2137
0.0001	333.3333	1000	0.5352	12.2137

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Tokenizers 0.21.0

Bhaveen/medimix-whisper-fine-tuned

Whisper Small En Medimix

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Bhaveen/
medimix-whisper-fine-tuned