Training finished
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README.md
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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- Cer: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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| 0.0002 | 21.0 | 1974 | 0.0405 | 0.3475 | 0.1441 |
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| 0.0 | 22.0 | 2068 | 0.0413 | 0.2614 | 0.0754 |
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| 0.0 | 23.0 | 2162 | 0.0423 | 0.3339 | 0.1156 |
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| 0.0 | 24.0 | 2256 | 0.0426 | 0.2676 | 0.0854 |
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| 0.0 | 25.0 | 2350 | 0.0442 | 0.3357 | 0.1101 |
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0256
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- Wer: 0.1250
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- Cer: 0.0445
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 20
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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 | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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| 0.0263 | 0.9973 | 187 | 0.0205 | 0.1624 | 0.0613 |
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| 0.0093 | 2.0 | 375 | 0.0149 | 0.1519 | 0.0529 |
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| 0.0051 | 2.9973 | 562 | 0.0157 | 0.1580 | 0.0512 |
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| 0.004 | 4.0 | 750 | 0.0181 | 0.1636 | 0.0539 |
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| 0.002 | 4.9973 | 937 | 0.0193 | 0.1557 | 0.0502 |
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| 0.0011 | 6.0 | 1125 | 0.0206 | 0.1558 | 0.0506 |
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| 0.0009 | 6.9973 | 1312 | 0.0213 | 0.1513 | 0.0498 |
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| 0.0005 | 8.0 | 1500 | 0.0214 | 0.1544 | 0.0504 |
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| 0.0004 | 8.9973 | 1687 | 0.0220 | 0.1464 | 0.0458 |
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| 0.0004 | 10.0 | 1875 | 0.0216 | 0.1459 | 0.0461 |
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| 0.0002 | 10.9973 | 2062 | 0.0224 | 0.1452 | 0.0454 |
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| 0.0001 | 12.0 | 2250 | 0.0224 | 0.1437 | 0.0452 |
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| 0.0001 | 12.9973 | 2437 | 0.0234 | 0.2224 | 0.0832 |
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| 0.0 | 14.0 | 2625 | 0.0231 | 0.1356 | 0.0540 |
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| 0.0 | 14.9973 | 2812 | 0.0236 | 0.2134 | 0.0797 |
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| 0.0 | 16.0 | 3000 | 0.0241 | 0.2159 | 0.0796 |
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| 0.0 | 16.9973 | 3187 | 0.0253 | 0.1338 | 0.0517 |
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| 0.0 | 18.0 | 3375 | 0.0257 | 0.1271 | 0.0493 |
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| 0.0 | 18.9973 | 3562 | 0.0264 | 0.1287 | 0.0492 |
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| 0.0 | 19.9467 | 3740 | 0.0266 | 0.1280 | 0.0489 |
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### Framework versions
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model.safetensors
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