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@@ -84,7 +84,7 @@ tokenizer = XLMRobertaTokenizer.from_pretrained("bonadossou/afrolm_active_learni
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  tokenizer.model_max_length = 256
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  ```
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- `Autotokenizer` class does not successfully load our tokenizer. So we recommend to use directly the `XLMRobertaTokenizer` class. Depending on your task, you will load the according mode of the model. Read the [XLMRoberta Documentation](https://huggingface.co/docs/transformers/model_doc/xlm-roberta)
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  ## Reproducing our result: Training and Evaluation
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@@ -95,17 +95,23 @@ tokenizer.model_max_length = 256
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  ## Citation
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- - **Arxiv Citation**:
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-
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- ``@misc{dossou2022afrolm,
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- title={AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages},
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- author={Bonaventure F. P. Dossou and Atnafu Lambebo Tonja and Oreen Yousuf and Salomey Osei and Abigail Oppong and Iyanuoluwa Shode and Oluwabusayo Olufunke Awoyomi and Chris Chinenye Emezue},
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- year={2022},
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- eprint={2211.03263},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}}``
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-
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- We will share the official proceeding citation as soon as possible. Stay tuned, and if you have liked our work, give it a star.
 
 
 
 
 
 
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  ## Reach out
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  tokenizer.model_max_length = 256
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  ```
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+ `Autotokenizer` class does not successfully load our tokenizer. So we recommend using directly the `XLMRobertaTokenizer` class. Depending on your task, you will load the according mode of the model. Read the [XLMRoberta Documentation](https://huggingface.co/docs/transformers/model_doc/xlm-roberta)
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  ## Reproducing our result: Training and Evaluation
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  ## Citation
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+ ``@inproceedings{dossou-etal-2022-afrolm,
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+ title = "{A}fro{LM}: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 {A}frican Languages",
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+ author = "Dossou, Bonaventure F. P. and
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+ Tonja, Atnafu Lambebo and
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+ Yousuf, Oreen and
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+ Osei, Salomey and
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+ Oppong, Abigail and
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+ Shode, Iyanuoluwa and
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+ Awoyomi, Oluwabusayo Olufunke and
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+ Emezue, Chris",
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+ booktitle = "Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)",
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+ month = dec,
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+ year = "2022",
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+ address = "Abu Dhabi, United Arab Emirates (Hybrid)",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2022.sustainlp-1.11",
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+ pages = "52--64",}``
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  ## Reach out
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