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egy-slang-model

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: 2.9273
  • Wer: 1.0000

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: 0.001
  • 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: 500
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.64 200 2.9735 1.0
3.8098 3.28 400 2.9765 1.0
3.8098 4.91 600 2.9662 1.0
2.9531 6.56 800 2.9708 1.0
2.9531 8.2 1000 2.9673 1.0
2.9259 9.83 1200 2.9989 1.0
2.9259 11.47 1400 2.9889 1.0
2.9023 13.11 1600 2.9739 1.0
2.9023 14.75 1800 3.0040 1.0000
2.8832 16.39 2000 3.0170 1.0
2.8832 18.03 2200 2.9963 0.9999
2.8691 19.67 2400 2.9273 1.0000

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.1
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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