rohitp1/dgx1_whisper_tiny_finetune_teacher_babble_noise_mozilla_40_epochs_batch_32

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dgx1whispertinyfinetuneteacherbabblenoisemozilla40epochsbatch_32

This model is a fine-tuned version of openai/whisper-tiny.en on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0819
• —Wer: 38.0301

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: 0.0005
• —trainbatchsize: 32
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 1024
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosinewithrestarts
• —lrschedulerwarmup_ratio: 0.2
• —num_epochs: 40
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.12.1
• —Datasets 2.8.0
• —Tokenizers 0.13.2