中文Sign up

cahya/wav2vec2-base-turkish

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.04.4 GBother✓ 3 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 cahya/wav2vec2-base-turkish ./model-folder
Needs a seeder →

This model is a fine-tuned version of cahya/wav2vec2-base-turkish-artificial-cv on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Dataset WER CER
1 Common Voice 6.1 9.437 3.325
2 Common Voice 7.0 8.147 2.802
3 Common Voice 8.0 8.335 2.336
4 Speech Recognition Community 28.011 10.66

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The following datasets were used for finetuning:

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 7.5e-06
  • train_batch_size: 6
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Wer
1.1224 3.45 500 0.1641 0.1396

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3