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Khalsuu/english-filipino-wav2vec2-l-xls-r-test-09

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 4 checksumsupdated today
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english-filipino-wav2vec2-l-xls-r-test-09

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0054
  • Wer: 0.5750

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: 0.002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.001 2.09 400 1.3499 0.9595
0.8606 4.19 800 0.8159 0.6942
0.5819 6.28 1200 0.7372 0.6700
0.4751 8.38 1600 0.7310 0.6405
0.3777 10.47 2000 0.7841 0.6414
0.2918 12.57 2400 0.7898 0.5951
0.2209 14.66 2800 0.8558 0.5751
0.1671 16.75 3200 0.9881 0.5979
0.129 18.85 3600 1.0054 0.5750

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.10.3