charleslwang/uaspeech-whisper-small-fullFT

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uaspeech-whisper-small-baseline

This model is a fine-tuned version of openai/whisper-small on UA-Speech.

Training and evaluation data

UA-Speech for training.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.8.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.1