mohammadmahdinouri
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README.md
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We initialise our model with the pre-trained checkpoints of the [DistilBERT-uncased](https://huggingface.co/distilbert-base-uncased?text=The+goal+of+life+is+%5BMASK%5D.) model available on the Huggingface.
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# Architecture
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In this model, the size of the hidden dimension and the embedding layer are both set to 768. The vocabulary size is
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# Citation
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If you use this model, please consider citing the following paper:
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We initialise our model with the pre-trained checkpoints of the [DistilBERT-uncased](https://huggingface.co/distilbert-base-uncased?text=The+goal+of+life+is+%5BMASK%5D.) model available on the Huggingface.
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# Architecture
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In this model, the size of the hidden dimension and the embedding layer are both set to 768. The vocabulary size is 30522. The number of transformer layers is 6 and the expansion rate of the feed-forward layer is 4. Overall this model has around 65 million parameters.
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# Citation
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If you use this model, please consider citing the following paper:
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