中文Sign up

Khalsuu/filipino-wav2vec2-l-xls-r-300m-test

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.05.0 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/filipino-wav2vec2-l-xls-r-300m-test ./model-folder
Needs a seeder →

filipino-wav2vec2-l-xls-r-300m-test

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the filipino_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7753
  • Wer: 0.4831

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
2.7314 2.09 400 0.7541 0.7262
0.6065 4.19 800 0.6738 0.6314
0.4063 6.28 1200 0.6310 0.5992
0.2986 8.38 1600 0.6301 0.5340
0.2263 10.47 2000 0.6598 0.5391
0.1714 12.57 2400 0.7778 0.5593
0.1303 14.66 2800 0.7231 0.4907
0.1056 16.75 3200 0.8031 0.4885
0.0851 18.85 3600 0.7753 0.4831

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.10.3