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whisper-fine-tuned-de_learn

This model is a fine-tuned version of whisper-fine-tuned-de_arg_new on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4825
  • Wer: 19.7968

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1169 1.6 1000 0.4126 20.2477
0.0132 3.2 2000 0.4562 20.4304
0.0053 4.8 3000 0.4647 20.0480
0.0016 6.4 4000 0.4775 19.8082
0.0011 8.0 5000 0.4825 19.7968

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Dataset used to train Jamin20/whisper-fine-tuning_learn

Evaluation results