HiTZ
/

Token Classification
Transformers
Safetensors
bert
Inference Endpoints
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  model-index:
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  - name: multi_rebuttal_neoplasm_mbert
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  results: []
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +23,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # multi_rebuttal_neoplasm_mbert
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- This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 
 
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  ## Model description
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  - Transformers 4.40.0.dev0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.2
 
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  model-index:
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  - name: multi_rebuttal_neoplasm_mbert
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  results: []
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+ datasets:
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+ - HiTZ/multilingual-abstrct
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+ language:
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+ - en
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+ - es
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+ - fr
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+ - it
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+ metrics:
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+ - f1
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+ pipeline_tag: token-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # multi_rebuttal_neoplasm_mbert
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) for the argument mining task on AbstRCT data in English, Spanish, French and Italian.
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  ## Model description
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  - Transformers 4.40.0.dev0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.2