Add AI-SOCO models (#7867)

model_cards/aliosm/ai-soco-c++-roberta-small-clas/README.md

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+---
+language: "c++"
+tags:
+- exbert
+- authorship-identification
+- fire2020
+- pan2020
+- ai-soco
+- classification
+license: "mit"
+datasets:
+- ai-soco
+metrics:
+- accuracy
+---
+
+# ai-soco-c++-roberta-small-clas
+
+## Model description
+
+`ai-soco-c++-roberta-small` model fine-tuned on [AI-SOCO](https://sites.google.com/view/ai-soco-2020) task.
+
+#### 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 from [`ai-soco-c++-roberta-small`](https://github.com/huggingface/transformers/blob/master/model_cards/aliosm/ai-soco-c++-roberta-small) model and trained using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset to do text classification.
+
+## Training procedure
+
+The model trained on Google Colab platform using V100 GPU for 10 epochs, 32 batch size, 512 max sequence length (sequences larger than 512 were truncated). Each continues 4 spaces were converted to a single tab character (`\t`) before tokenization.
+
+## Eval results
+
+The model achieved 93.19%/92.88% accuracy on AI-SOCO task and ranked in the 4th place.
+
+### 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-small-clas">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>

model_cards/aliosm/ai-soco-c++-roberta-small/README.md

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+---
+language: "c++"
+tags:
+- exbert
+- authorship-identification
+- fire2020
+- pan2020
+- ai-soco
+license: "mit"
+datasets:
+- ai-soco
+metrics:
+- perplexity
+---
+
+# ai-soco-c++-roberta-small
+
+## Model description
+
+From scratch pre-trained RoBERTa model with 6 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, 16\*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-small">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>

model_cards/aliosm/ai-soco-c++-roberta-tiny-96-clas/README.md

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+---
+language: "c++"
+tags:
+- exbert
+- authorship-identification
+- fire2020
+- pan2020
+- ai-soco
+- classification
+license: "mit"
+datasets:
+- ai-soco
+metrics:
+- accuracy
+---
+
+# ai-soco-c++-roberta-tiny-96-clas
+
+## Model description
+
+`ai-soco-c++-roberta-tiny-96` model fine-tuned on [AI-SOCO](https://sites.google.com/view/ai-soco-2020) task.
+
+#### 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 from [`ai-soco-c++-roberta-tiny-96`](https://github.com/huggingface/transformers/blob/master/model_cards/aliosm/ai-soco-c++-roberta-tiny-96) model and trained using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset to do text classification.
+
+## Training procedure
+
+The model trained on Google Colab platform using V100 GPU for 10 epochs, 16 batch size, 512 max sequence length (sequences larger than 512 were truncated). Each continues 4 spaces were converted to a single tab character (`\t`) before tokenization.
+
+## Eval results
+
+The model achieved 91.12%/91.02% accuracy on AI-SOCO task and ranked in the 7th place.
+
+### 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-96-clas">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>

model_cards/aliosm/ai-soco-c++-roberta-tiny-96/README.md

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+---
+language: "c++"
+tags:
+- exbert
+- authorship-identification
+- fire2020
+- pan2020
+- ai-soco
+license: "mit"
+datasets:
+- ai-soco
+metrics:
+- perplexity
+---
+
+# ai-soco-c++-roberta-tiny-96
+
+## Model description
+
+From scratch pre-trained RoBERTa model with 1 layers and 96 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, 16\*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-96">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>

model_cards/aliosm/ai-soco-c++-roberta-tiny-clas/README.md

@@ -0,0 +1,56 @@
+---
+language: "c++"
+tags:
+- exbert
+- authorship-identification
+- fire2020
+- pan2020
+- ai-soco
+- classification
+license: "mit"
+datasets:
+- ai-soco
+metrics:
+- accuracy
+---
+
+# ai-soco-c++-roberta-tiny-clas
+
+## Model description
+
+`ai-soco-c++-roberta-tiny` model fine-tuned on [AI-SOCO](https://sites.google.com/view/ai-soco-2020) task.
+
+#### 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 from [`ai-soco-c++-roberta-tiny`](https://github.com/huggingface/transformers/blob/master/model_cards/aliosm/ai-soco-c++-roberta-tiny) model and trained using [AI-SOCO](https://sites.google.com/view/ai-soco-2020) dataset to do text classification.
+
+## Training procedure
+
+The model trained on Google Colab platform using V100 GPU for 10 epochs, 32 batch size, 512 max sequence length (sequences larger than 512 were truncated). Each continues 4 spaces were converted to a single tab character (`\t`) before tokenization.
+
+## Eval results
+
+The model achieved 87.66%/87.46% accuracy on AI-SOCO task and ranked in the 9th place.
+
+### 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-clas">
+	<img width="300px" src="https://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>

model_cards/aliosm/ai-soco-c++-roberta-tiny/README.md

@@ -0,0 +1,55 @@
+---
+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://hf-dinosaur.huggingface.co/exbert/button.png">
+</a>