ghananlpcommunity/w2v-bert-2.0_yoruba_v1_farmerline

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w2v-bert-2.0yorubav1

This model is a fine-tuned version of FarmerlineML/w2v-bert-2.0_yoruba on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: inf
• —eval_cer: 0.1043
• —eval_wer: 0.3272
• —eval_runtime: 138.6083
• —evalsamplesper_second: 36.636
• —evalstepsper_second: 4.581
• —epoch: 0.7354
• —step: 4200

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 800
• —num_epochs: 16
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1