CLEAR-Global/w2v-bert-2.0-hausa_naijavoices_250h

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

w2v-bert-2.0-hausanaijavoices250h

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the CLEAR-GLOBAL/NAIJAVOICES_250H - NA dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2333
• —Wer: 0.3302
• —Cer: 0.1886

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: 3e-05
• —trainbatchsize: 160
• —evalbatchsize: 160
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 320
• —totalevalbatch_size: 320
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 100.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.1
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.1