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w2v-bert-2.0-yoruba-CV17.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1095
  • Wer: 0.1065

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
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3812 0.5102 100 0.3328 0.3070
0.2283 1.0204 200 0.2721 0.2807
0.1993 1.5306 300 0.3371 0.3481
0.2045 2.0408 400 0.3514 0.3314
0.2057 2.5510 500 0.3036 0.3086
0.2193 3.0612 600 0.2904 0.2847
0.1956 3.5714 700 0.2631 0.2534
0.1717 4.0816 800 0.1923 0.1995
0.1234 4.5918 900 0.1678 0.1732
0.0995 5.1020 1000 0.1280 0.1341
0.0614 5.6122 1100 0.1095 0.1065

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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Evaluation results