jonaskoenig
/

xtremedistil-l6-h256-uncased-question-vs-statement-classifier

Text Classification

generated_from_keras_callback

text-embeddings-inference

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jonaskoenig commited on Jul 11, 2022

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@@ -15,7 +15,7 @@ probably proofread and complete it, then remove this comment. -->
 # xtremedistil-l6-h256-uncased-question-vs-statement-classifier
-This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on [question-vs-statement-classifier](https://huggingface.co/datasets/jonaskoenig/Questions-vs-Statements-Classification) dataset, which is a clone of the keggle [Questions vs Statements Classification](https://www.kaggle.com/datasets/shahrukhkhan/questions-vs-statementsclassificationdataset) dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0227

 # xtremedistil-l6-h256-uncased-question-vs-statement-classifier
+This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on [question-vs-statement-classifier](https://huggingface.co/datasets/jonaskoenig/Questions-vs-Statements-Classification) dataset, which is a clone of the kaggle [Questions vs Statements Classification](https://www.kaggle.com/datasets/shahrukhkhan/questions-vs-statementsclassificationdataset) dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0227