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wav2vec2-base-cynthia-tedlium-2500-v2

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6425
  • Wer: 0.2033

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: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1196 6.58 500 0.6498 0.2103
0.1176 13.16 1000 0.6490 0.2169
0.1227 19.73 1500 0.6241 0.2127
0.1078 26.31 2000 0.6359 0.2118
0.0956 32.89 2500 0.6330 0.2073
0.1008 39.47 3000 0.6816 0.2036
0.09 46.05 3500 0.6425 0.2033

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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