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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-large-et-clinic
    results: []

whisper-large-et-clinic

This model is a fine-tuned version of agnesluhtaru/whisper-large-et-ERR2020-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3862
  • Wer: 15.5413

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: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0278 4.03 500 0.2986 16.9940
0.0037 8.06 1000 0.3383 16.1774
0.0017 12.1 1500 0.3619 15.8035
0.0008 16.13 2000 0.3862 15.5413

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+rocm5.1.1
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2