whisper-small-sl / README.md
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metadata
language:
  - sl
license: apache-2.0
base_model: openai/whisper-small
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Small Slovenian
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 sl
          type: mozilla-foundation/common_voice_11_0
          config: sl
          split: test
          args: sl
        metrics:
          - name: Wer
            type: wer
            value: 27.026239067055393

Whisper Small Slovenian

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

  • Loss: 0.7109
  • Wer: 27.0262

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: 32
  • seed: 42
  • 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
0.006 13.0 1000 0.5072 28.3382
0.0011 26.0 2000 0.7109 27.0262
0.0005 39.01 3000 0.8865 27.1866
0.0 52.01 4000 1.0261 29.0087
0.0 65.01 5000 1.0872 28.9650

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.2.dev0
  • Tokenizers 0.13.3