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Khalsuu/english-filipino-wav2vec2-l-xls-r-test-03

🤗 Hugging Face 来源automatic-speech-recognitionapache-2.03.8 GBother✓ 4 个校验和今天更新
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english-filipino-wav2vec2-l-xls-r-test-03

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: 0.6932
  • Wer: 0.3676

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: 0.001
  • 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
2.3398 2.09 400 0.5733 0.6166
0.5087 4.19 800 0.5210 0.4775
0.344 6.28 1200 0.5284 0.5008
0.2745 8.38 1600 0.5195 0.4457
0.2153 10.47 2000 0.5820 0.4668
0.1797 12.57 2400 0.4915 0.4432
0.1513 14.66 2800 0.6316 0.4513
0.1355 16.75 3200 0.5328 0.4070
0.1204 18.85 3600 0.5800 0.4405
0.1062 20.94 4000 0.6887 0.4532
0.0931 23.04 4400 0.6184 0.4152
0.0821 25.13 4800 0.7413 0.4461
0.0733 27.23 5200 0.7160 0.4549
0.071 29.32 5600 0.7001 0.4048
0.0577 31.41 6000 0.7839 0.4309
0.051 33.51 6400 0.7764 0.4128
0.046 35.6 6800 0.6753 0.3875
0.0384 37.7 7200 0.7106 0.3856
0.0359 39.79 7600 0.6932 0.3676

Framework versions

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