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Khalsuu/english-filipino-wav2vec2-l-xls-r-test-05

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 4 checksumsupdated today
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english-filipino-wav2vec2-l-xls-r-test-05

Model description

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: 0.4738
  • Wer: 0.2684

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: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.3328 2.09 400 2.2174 0.9733
0.6432 4.19 800 0.3735 0.3896
0.2741 6.28 1200 0.3639 0.3425
0.1877 8.38 1600 0.3506 0.3425
0.1408 10.47 2000 0.3644 0.3181
0.1133 12.57 2400 0.3837 0.3047
0.0953 14.66 2800 0.4415 0.3103
0.0814 16.75 3200 0.3940 0.3092
0.0707 18.85 3600 0.4164 0.3013
0.059 20.94 4000 0.4488 0.2983
0.0545 23.04 4400 0.4803 0.3028
0.0482 25.13 4800 0.4731 0.2811
0.0426 27.23 5200 0.4606 0.2757
0.0395 29.32 5600 0.4738 0.2684

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Framework versions

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