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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: dioBERTo
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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
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# dioBERTo
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This model is a
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It achieves the following results on the evaluation set:
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- Loss: 3.3351
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## Model description
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---
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tags:
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- generated_from_trainer
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language:
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- grc
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model-index:
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- name: dioBERTo
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results: []
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widget:
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- text: "Πλάτων ὁ Περικτιόνης <mask> γένος ἀνέφερεν εἰς Σόλωνα."
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- text: "ὁ Κριτίας ἀπέβλεψε <mask> τὴν θύραν."
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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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# dioBERTo
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This is an experimental roberta model trained with an ancient Greek corpus of about 900 MB, which was scrapped from the web and post-processed. Duplicate texts and editorial punctuation were removed. The training dataset will be soon available in the Huggingface datasets hub. Training a model of ancient Greek is challenging given that it is a low resource language from which 50% of the register has only survived in fragmentary texts. The model is provided by the Diogenet project at the University of California, San Diego.
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It achieves the following results on the evaluation set:
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- Loss: 3.3351
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## Model description
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