ajikadev/wavlm-base-ug-demo

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wavlm-base-ug-demo

This model is a fine-tuned version of microsoft/wavlm-base on the AJIKADEV/UGANDA-COURT-SPEECH - NA dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1244
• —Wer: 0.1379

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —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: 500.0
• —training_steps: 10000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.0.0.dev0
• —Pytorch 2.9.1+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.1