Datasets:
				
			
			
	
			
			
	
		Tasks:
	
	
	
	
	Fill-Mask
	
	
	Formats:
	
	
	
		
	
	csv
	
	
	Sub-tasks:
	
	
	
	
	masked-language-modeling
	
	
	Size:
	
	
	
	
	1M - 10M
	
	
	ArXiv:
	
	
	
	
	
	
	
	
Tags:
	
	
	
	
	afrolm
	
	
	
	
	active learning
	
	
	
	
	language modeling
	
	
	
	
	research papers
	
	
	
	
	natural language processing
	
	
	
	
	self-active learning
	
	
	License:
	
	
	
	
	
	
	
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    | @@ -20,6 +20,7 @@ Model | MasakhaNER | MasakhaNER2.0* | Text Classification (Yoruba/Hausa) | Senti | |
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            `AfroXLMR-base` | `81.90` | `84.55` | --- | --- | --- |
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            - (*) The evaluation was made on the 11 additional languages of the dataset.
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            ## Pretrained Models and Dataset
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            **Models:**: [AfroLM-Large](https://huggingface.co/bonadossou/afrolm_active_learning) and **Dataset**: [AfroLM Dataset](https://huggingface.co/datasets/bonadossou/afrolm_active_learning_dataset)
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            `AfroXLMR-base` | `81.90` | `84.55` | --- | --- | --- |
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            - (*) The evaluation was made on the 11 additional languages of the dataset.
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            - Bold numbers represent the performance of the model with the **smallest pretrained data**.
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            ## Pretrained Models and Dataset
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            **Models:**: [AfroLM-Large](https://huggingface.co/bonadossou/afrolm_active_learning) and **Dataset**: [AfroLM Dataset](https://huggingface.co/datasets/bonadossou/afrolm_active_learning_dataset)
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