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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: quran-whisper-ar-tiny-1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# quran-whisper-ar-tiny-1 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0968 |
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- Wer: 174.7253 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 45 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 2.2643 | 0.3333 | 5 | 4.2666 | 209.8901 | |
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| 3.5798 | 0.6667 | 10 | 1.9318 | 173.6264 | |
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| 1.2993 | 1.0 | 15 | 1.0968 | 102.1978 | |
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| 0.8612 | 0.6667 | 20 | 0.9798 | 145.0549 | |
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| 0.7235 | 0.8333 | 25 | 0.7984 | 131.8681 | |
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| 0.5694 | 1.0 | 30 | 0.7010 | 127.4725 | |
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| 0.5781 | 0.7778 | 35 | 0.7017 | 378.0220 | |
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| 0.5704 | 0.8889 | 40 | 0.6511 | 341.7582 | |
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| 0.4247 | 1.0 | 45 | 0.5858 | 164.8352 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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