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wav2vec2-large-xlsr-53-common_voice-tr-ft

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

  • Loss: 0.4231
  • Wer: 0.3104
  • Cer: 0.0737

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: 0.0005
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • 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

see under Training Metrics Tab.

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.2.dev0
  • Tokenizers 0.10.3
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Dataset used to train patrickvonplaten/wav2vec2-large-xlsr-53-common_voice-tr-ft