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# distilbert_classifier_newsgroup
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [20 Newsgroups](http://qwone.com/~jason/20Newsgroups/) data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.
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It achieves the following results on the evaluation set:
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# distilbert_classifier_newsgroup
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [20 Newsgroups](http://qwone.com/~jason/20Newsgroups/) data set that is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.
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It achieves the following results on the evaluation set:
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loss: 0.5660 - accuracy: 0.8371
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