Anujgr8/wav2vec2-base-Malawi-small

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wav2vec2-base-Malawi-small

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8095
• —Wer: 0.4636
• —Cer: 0.1534

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: 6
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 24
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 900
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.5.0+cu121
• —Datasets 1.18.3
• —Tokenizers 0.19.1