sage-bergerson/whisper-large-edacc-v3

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Whisper Large EdAcc V3

This model is a fine-tuned version of openai/whisper-large on the EdAcc dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5752

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: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 600
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0
• —Datasets 2.21.0
• —Tokenizers 0.19.1