parambharat/whisper-tiny-ta-example

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Whisper tiny Ta example - Bharat Ramanathan

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

• —Loss: 0.4016
• —Wer: 36.5217

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
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 25
• —training_steps: 100
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.13.0
• —Datasets 2.7.1.dev0
• —Tokenizers 0.13.2