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--- |
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language: "c++" |
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tags: |
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- exbert |
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- authorship-identification |
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- fire2020 |
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- pan2020 |
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- ai-soco |
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license: "mit" |
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datasets: |
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- ai-soco |
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metrics: |
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- perplexity |
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--- |
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# ai-soco-c++-roberta-tiny |
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## Model description |
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From scratch pre-trained RoBERTa model with 1 layers and 12 attention heads using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset which consists of C++ codes crawled from CodeForces website. |
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## Intended uses & limitations |
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The model can be used to do code classification, authorship identification and other downstream tasks on C++ programming language. |
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#### How to use |
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You can use the model directly after tokenizing the text using the provided tokenizer with the model files. |
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#### Limitations and bias |
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The model is limited to C++ programming language only. |
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## Training data |
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The model initialized randomly and trained using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset which contains 100K C++ source codes. |
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## Training procedure |
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The model trained on Google Colab platform with 8 TPU cores for 200 epochs, 32\*8 batch size, 512 max sequence length and MLM objective. Other parameters were defaulted to the values mentioned in [`run_language_modelling.py`](https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling.py) script. Each continues 4 spaces were converted to a single tab character (`\t`) before tokenization. |
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### BibTeX entry and citation info |
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```bibtex |
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@inproceedings{ai-soco-2020-fire, |
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title = "Overview of the {PAN@FIRE} 2020 Task on {Authorship Identification of SOurce COde (AI-SOCO)}", |
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author = "Fadel, Ali and Musleh, Husam and Tuffaha, Ibraheem and Al-Ayyoub, Mahmoud and Jararweh, Yaser and Benkhelifa, Elhadj and Rosso, Paolo", |
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booktitle = "Proceedings of The 12th meeting of the Forum for Information Retrieval Evaluation (FIRE 2020)", |
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year = "2020" |
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} |
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``` |
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<a href="https://huggingface.co./exbert/?model=aliosm/ai-soco-c++-roberta-tiny"> |
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
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</a> |
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