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+ # CodeTrans transfer learning pre-trained model
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+ Pretrained model on programming languages using the t5 large model architecture. It was first released in
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+ [this repository](https://github.com/agemagician/CodeTrans).
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+ ## Model description
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+ This CodeTrans model is based on the `t5-large` model. It has its own SentencePiece vocabulary model. It used transfer-learning pre-training on 7 unsupervised datasets in the software development domain.
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+ The model was trained on a single TPU Pod V3-8 for 240,000 steps in total, using sequence length 512 (batch size 4096).
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+ It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture.
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+ The optimizer used is AdaFactor with inverse square root learning rate schedule for pre-training.
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+ It could be used to fine-tune other tasks in the software development domain.
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+ > Created by [Ahmed Elnaggar](https://twitter.com/Elnaggar_AI) | [LinkedIn](https://www.linkedin.com/in/prof-ahmed-elnaggar/) and Wei Ding | [LinkedIn](https://www.linkedin.com/in/wei-ding-92561270/)
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