captaincool21/whisper-minds14

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whisper-minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset.

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: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 20
• —training_steps: 200
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.1+cu128
• —Datasets 2.18.0
• —Tokenizers 0.22.1