EIStakovskii
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camembert_base_fluency

Text Classification

text-embeddings-inference

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EIStakovskii commited on Nov 3, 2022

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-This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off the camembert-base model (https://huggingface.co/camembert/camembert-base).
 Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
 Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
-The model was trained on 50 thousand French sentences from the news_commentary dataset (https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using the open source Python library https://github.com/eistakovskii/text_corruption_plus. The library was originally developed by aylliote (https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.

 license: other
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+This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off [the camembert-base model](https://huggingface.co/camembert/camembert-base).
 Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
 Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
+The model was trained on 50 thousand French sentences from [the news_commentary dataset](https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using [the open source Python library](https://github.com/eistakovskii/text_corruption_plus). The library was originally developed by [aylliote](https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.