Edit model card

Whisper medium Croatian El Greco

This model is a fine-tuned version of openai/whisper-medium on the google/fleurs hr_hr dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3374
  • Wer: 14.6133

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: 3e-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: 1000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0106 4.61 1000 0.3374 14.6133

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 2.0.0.dev20221216+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
Downloads last month
7

Dataset used to train emilios/whisper-md-hr

Evaluation results