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End of training
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metadata
language:
  - sq
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - Kaggle
metrics:
  - wer
model-index:
  - name: Whisper tiny Albanian Test
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Kaggle Albanian
          type: Kaggle
          args: 'config: sq, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 35.183525075949994

Whisper tiny Albanian Test

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

  • Loss: 0.4063
  • Wer: 35.1835

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: 16
  • eval_batch_size: 4
  • 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: 3000

Training results

Training Loss Epoch Step Validation Loss Wer
0.5598 0.24 500 0.6847 55.6153
0.4449 0.49 1000 0.5154 44.8005
0.3986 0.73 1500 0.4648 40.5448
0.3684 0.97 2000 0.4242 37.3848
0.2517 1.22 2500 0.4143 35.9306
0.2467 1.46 3000 0.4063 35.1835

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2