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README.md
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@@ -3,8 +3,10 @@ license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- generated_from_trainer
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datasets:
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- indonlg
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metrics:
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- f1
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model-index:
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name: indonlg
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type: indonlg
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config: question_answering
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split:
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args: question_answering
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metrics:
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- name: F1
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type: f1
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value: 72.19688326266134
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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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should probably proofread and complete it, then remove this comment. -->
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# IndoNanoT5-base-TyDiQA
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset.
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It achieves the following results on the evaluation set:
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- generated_from_trainer
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language:
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- ind
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datasets:
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- GEM/indonlg
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metrics:
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- f1
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model-index:
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name: indonlg
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type: indonlg
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config: question_answering
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split: test
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args: question_answering
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metrics:
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- name: F1
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type: f1
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value: 72.19688326266134
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- name: EM
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type: em
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value: 58.9474
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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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should probably proofread and complete it, then remove this comment. -->
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# LazarusNLP/IndoNanoT5-base-TyDiQA
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset.
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It achieves the following results on the evaluation set:
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