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Whisper medium Greek El Greco

This model is a fine-tuned version of emilios/whisper-medium-el on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4656
  • Wer: 10.6426

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: 4e-06
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0066 111.11 1000 0.2357 23.0441
0.0024 222.22 2000 0.2607 19.6657
0.0011 333.33 3000 0.2771 20.8748
0.0043 234.82 4000 0.4536 10.7077
0.0024 293.65 5000 0.4656 10.6426

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 2.0.0.dev20221216+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train emilios/whisper-medium-el-n2

Evaluation results