中文Sign up

infinitejoy/wav2vec2-large-xls-r-300m-chuvash

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.015 GBother✓ 2 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 infinitejoy/wav2vec2-large-xls-r-300m-chuvash ./model-folder
Needs a seeder →

wav2vec2-large-xls-r-300m-chuvash

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - CV dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7651
  • Wer: 0.6166

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.8032 8.77 500 0.8059 0.8352
1.2608 17.54 1000 0.5828 0.6769
1.1337 26.32 1500 0.6892 0.6908
1.0457 35.09 2000 0.7077 0.6781
0.97 43.86 2500 0.5993 0.6228
0.8767 52.63 3000 0.7213 0.6604
0.8223 61.4 3500 0.8161 0.6968
0.7441 70.18 4000 0.7057 0.6184
0.7011 78.95 4500 0.7027 0.6024
0.6542 87.72 5000 0.7092 0.5979
0.6081 96.49 5500 0.7917 0.6324

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0