oyemade/w2v-bert-2.0-hausa-CV17.0

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w2v-bert-2.0-hausa-CV17.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.0501
• —eval_wer: 0.0695
• —eval_runtime: 27.2461
• —evalsamplesper_second: 24.26
• —evalstepsper_second: 3.046
• —epoch: 6.1697
• —step: 2400

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-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.2
• —Tokenizers 0.19.1