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Khalsuu/english-filipino-wav2vec2-l-xls-r-test-08

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 4 checksumsupdated today
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english-filipino-wav2vec2-l-xls-r-test-08

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: 0.5968
  • Wer: 0.4255

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: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.3434 2.09 400 2.2857 0.9625
1.6304 4.19 800 1.1547 0.7268
0.9231 6.28 1200 1.0252 0.6186
0.6098 8.38 1600 0.9371 0.5494
0.4922 10.47 2000 0.7092 0.5478
0.3652 12.57 2400 0.7358 0.5149
0.2735 14.66 2800 0.6270 0.4646
0.2038 16.75 3200 0.5717 0.4506
0.1552 18.85 3600 0.5968 0.4255

Framework versions

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