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Whisper Large-v2 Georgian

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 ka dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1187
  • Wer: 31.8548

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: 32
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0413 2.06 200 0.0712 36.6296
0.006 5.04 400 0.0899 33.7467
0.0008 8.02 600 0.1039 32.2311
0.0002 11.01 800 0.1141 31.9290
0.0001 13.06 1000 0.1187 31.8548

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train anuragshas/whisper-large-v2-ka

Space using anuragshas/whisper-large-v2-ka 1

Evaluation results