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wav2vec2-large-xls-r-300m-tr

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

  • Loss: 0.2841
  • Wer: 0.2904

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: 3e-05
  • train_batch_size: 7
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 14
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5.0805 4.03 1000 3.0333 1.0
1.5733 8.06 2000 0.5545 0.5080
0.6238 12.1 3000 0.3861 0.3977
0.4535 16.13 4000 0.3253 0.3408
0.3682 20.16 5000 0.3042 0.3177
0.3302 24.19 6000 0.2950 0.3015
0.2985 28.23 7000 0.2841 0.2904

Framework versions

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