README.md

metadata

language:
  - ug
license: apache-2.0
datasets:
  - THUGY20
metrics:
  - cer
model-index:
  - name: Whisper Small Fine-tuned with THUYG20 Uyghur Dataset
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: 'THUGY20: A free Uyghur speech database'
          type: THUGY20
        metrics:
          - name: Cer
            type: cer
            value: 7.21

Uyghur Automatic Speech Recognition

Uyghur ASR using CTC loss trained with THUYG20 dataset It achieves the following results on the evaluation set:

• Best CER: 7.21%

Reference: https://github.com/gheyret/uyghur-asr-ctc

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 20
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with weight_decay=0.000001

Training results

Best CER: 7.21% Trained: 473 epochs The model has 26,389,282 trainable parameters