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license: apache-2.0
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---
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license: apache-2.0
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language:
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- fa
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---
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## Persian Phoneme-Level BERT (training)
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GPU RTX A6000 (1x) is used for training, dataset of 1.3 milion sentences, chunked, normalized from wikipedia dataset for Farsi.
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```bash
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ds = load_dataset("wikimedia/wikipedia", "20231101.fa", split="train", streaming=True)
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```
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Training run for 305K steps with the following result (around the following values)
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```bash
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Step [305000/2000000], Loss: 1.38343, Vocab Loss: 0.34593, Token Loss: 1.25434
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```
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dataset and model is stored in HF: `SadeghK/Persian-PL-BERT`
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For dataset preparation from wikipedia, refer to `wikipedia-dataset-styletts2-preparation`
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```bash
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wikipedia entry -> [normalize] -> [chunk] -> [hamnevise] -> [Zirneshane]
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```
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For further details of preprocessing, training refer to `preprocess_fa.ipynb` and `train_fa.ipynb` of [SadeghKrmi/PL-BERT](https://github.com/SadeghKrmi/PL-BERT.git)
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