alexachang/csclean-tat

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csclean-tat

This model is a fine-tuned version of alexachang/whisper-small-csclean on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.2923
• —eval_cer: 12.2014
• —eval_runtime: 363.1582
• —evalsamplesper_second: 4.973
• —evalstepsper_second: 0.622
• —epoch: 2.9118
• —step: 3500

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: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 300
• —training_steps: 3500
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.1.0+cu118
• —Datasets 3.6.0
• —Tokenizers 0.21.4