QURANIC Whisper Large V3 - 2
This model is a fine-tuned version of openai/whisper-large-v3 on the QURANICWhisperDataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1663
- Wer: 112.0268
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: 8
- 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 |
|---|---|---|---|---|
| 0.0862 | 2.0 | 1000 | 0.1308 | 162.4365 |
| 0.0489 | 4.0 | 2000 | 0.1305 | 168.4432 |
| 0.0111 | 6.0 | 3000 | 0.1499 | 193.2011 |
| 0.0013 | 8.0 | 4000 | 0.1663 | 112.0268 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.1
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Model tree for ahishamm/finetuned-whisper-quranic-large-v3-2
Base model
openai/whisper-large-v3