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240624-wav2vec2-ASR-Indian

Automatic Speech Recognition
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wav2vec2
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240624-wav2vec2-ASR-Arabs

This model is a fine-tuned version of zainulhakim/240624-wav2vec2-ASR-Arab on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7867
  • Wer: 0.4444

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: 5e-05
  • train_batch_size: 3
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 3.7037 100 1.7837 0.4545
No log 7.4074 200 1.7867 0.4444
No log 11.1111 300 1.9297 0.5556
No log 14.8148 400 1.7291 0.4949

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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F32
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Automatic Speech Recognition
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zainulhakim/240624-wav2vec2-ASR-Arab
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Evaluation results

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