Whisper Small Odia - Sukanta Nanda with tips from Sanchit language None
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6090
- Wer: 59.0155
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 |
|---|---|---|---|---|
| 0.006 | 20.0 | 1000 | 0.3898 | 60.6182 |
| 0.0004 | 40.0 | 2000 | 0.4451 | 58.9010 |
| 0.0001 | 60.0 | 3000 | 0.5533 | 57.4699 |
| 0.0001 | 80.0 | 4000 | 0.6090 | 59.0155 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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Evaluation results
- Wer on Common Voice 11.0test set self-reported59.015