| | --- |
| | language: "c++" |
| | tags: |
| | - exbert |
| | - authorship-identification |
| | - fire2020 |
| | - pan2020 |
| | - ai-soco |
| | license: "mit" |
| | datasets: |
| | - ai-soco |
| | metrics: |
| | - perplexity |
| | --- |
| | |
| | # ai-soco-c++-roberta-tiny |
| |
|
| | ## Model description |
| |
|
| | 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. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | The model can be used to do code classification, authorship identification and other downstream tasks on C++ programming language. |
| |
|
| | #### How to use |
| |
|
| | You can use the model directly after tokenizing the text using the provided tokenizer with the model files. |
| |
|
| | #### Limitations and bias |
| |
|
| | The model is limited to C++ programming language only. |
| |
|
| | ## Training data |
| |
|
| | The model initialized randomly and trained using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset which contains 100K C++ source codes. |
| |
|
| | ## Training procedure |
| |
|
| | 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. |
| | |
| | ### BibTeX entry and citation info |
| | |
| | ```bibtex |
| | @inproceedings{ai-soco-2020-fire, |
| | title = "Overview of the {PAN@FIRE} 2020 Task on {Authorship Identification of SOurce COde (AI-SOCO)}", |
| | author = "Fadel, Ali and Musleh, Husam and Tuffaha, Ibraheem and Al-Ayyoub, Mahmoud and Jararweh, Yaser and Benkhelifa, Elhadj and Rosso, Paolo", |
| | booktitle = "Proceedings of The 12th meeting of the Forum for Information Retrieval Evaluation (FIRE 2020)", |
| | year = "2020" |
| | } |
| | ``` |
| | |
| | <a href="https://huggingface.co/exbert/?model=aliosm/ai-soco-c++-roberta-tiny"> |
| | <img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
| | </a> |
| | |
