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Whisper_wer_accuracy_precion – AI Model by Shubham09 | AlphaNeural AI

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Shubham09/
Whisper_wer_accuracy_precion

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automatic-speech-recognition

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Whisper_wer_accuracy_precion

This model is a fine-tuned version of openai/whisper-small on the None dataset.

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: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 5

Training results

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.13.1
Datasets 2.11.0
Tokenizers 0.13.2