mrmuminov's picture
End of training
65669e8 verified
|
raw
history blame
2.07 kB
metadata
language:
  - hi
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_1
metrics:
  - wer
model-index:
  - name: Whisper Large v3 Turbo - Bahriddin Muminov
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 16.1
          type: mozilla-foundation/common_voice_16_1
          config: uz
          split: test
          args: 'config: uz, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 99.63288088608068

Whisper Large v3 Turbo - Bahriddin Muminov

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3021
  • Wer: 99.6329

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: 8
  • 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4875 0.33 1000 0.4542 72.0290
0.3835 0.66 2000 0.3775 100.0
0.3371 0.99 3000 0.3221 100.0
0.2244 1.32 4000 0.3021 99.6329

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2