中文Sign up

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

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.03.8 GBother✓ 4 checksumsupdated today
Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Khalsuu/english-filipino-wav2vec2-l-xls-r-test ./model-folder
Needs a seeder →

english-filipino-wav2vec2-l-xls-r-test

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: 0.5795
  • Wer: 0.3996

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: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.0751 2.09 400 2.4744 0.9804
0.7852 4.19 800 0.5836 0.5620
0.3751 6.28 1200 0.4873 0.4658
0.2578 8.38 1600 0.5725 0.5289
0.1897 10.47 2000 0.5342 0.4856
0.1394 12.57 2400 0.5677 0.4761
0.1048 14.66 2800 0.5708 0.4415
0.0848 16.75 3200 0.5908 0.4374
0.0652 18.85 3600 0.5795 0.3996

Framework versions

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