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Khalsuu/english-filipino-wav2vec2-l-xls-r-test-02

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 6 checksumsupdated today
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english-filipino-wav2vec2-l-xls-r-test-02

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: 0.4561
  • Wer: 0.2632

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: 0.0003
  • 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: 40
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.1707 2.09 400 0.8006 0.8224
0.4801 4.19 800 0.3363 0.4329
0.2541 6.28 1200 0.3365 0.3676
0.1851 8.38 1600 0.3485 0.3739
0.1408 10.47 2000 0.3628 0.3420
0.1098 12.57 2400 0.3979 0.3277
0.1019 14.66 2800 0.4031 0.2896
0.0887 16.75 3200 0.3977 0.3024
0.0798 18.85 3600 0.3959 0.3129
0.0671 20.94 4000 0.4489 0.3241
0.0633 23.04 4400 0.4455 0.3026
0.055 25.13 4800 0.4668 0.2910
0.0523 27.23 5200 0.4670 0.2960
0.0468 29.32 5600 0.4536 0.2781
0.0392 31.41 6000 0.4612 0.2860
0.0381 33.51 6400 0.4651 0.2841
0.034 35.6 6800 0.4723 0.2716
0.0315 37.7 7200 0.4546 0.2642
0.0294 39.79 7600 0.4561 0.2632

Framework versions

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