wav2vec2_lj_speech_phonemes_word_level

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3555
  • Wer: 0.8317

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Wer
8.2048 1.53 500 4.0111 1.0

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.1.0
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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