auro/whisper-cli-dropout-small-or

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Whisper Small Odia

This model is a fine-tuned version of auro/whisper-cli-small-or on the mozilla-foundation/commonvoice11_0 or dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5089
• —Wer: 26.0931

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-06
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.13.1+cu117
• —Datasets 2.8.1.dev0
• —Tokenizers 0.13.2