GuillermoSC/Whisper_SM_EN_GS

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WhisperSMEN_GS

This model is a fine-tuned version of openai/whisper-small on the gigaspeech 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: 5e-05
• —trainbatchsize: 3
• —evalbatchsize: 3
• —seed: 42
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 9
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —training_steps: 40

Training results

Framework versions

• —Transformers 4.31.0.dev0
• —Pytorch 1.13.0+cu117
• —Datasets 2.13.0
• —Tokenizers 0.13.3