i-be-snek
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distilbert-base-uncased-finetuned-ner-exp_B

Token Classification

generated_from_keras_callback

Inference Endpoints

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i-be-snek commited on Dec 4, 2023

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@@ -52,7 +52,7 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the English subset of the NER [Babelscape/multinerd](https://huggingface.co/datasets/Babelscape/multinerd) dataset.
-It achieves the following results on the evaluation set:
 - Train Loss: 0.0084
 - Validation Loss: 0.0587
 - Train Precision: 0.9185

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the English subset of the NER [Babelscape/multinerd](https://huggingface.co/datasets/Babelscape/multinerd) dataset.
+It achieves the following results on the validation set:
 - Train Loss: 0.0084
 - Validation Loss: 0.0587
 - Train Precision: 0.9185