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opswat-distilbert-ner-finetuned – AI Model by RobertZsoltSzabo | AlphaNeural AI

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RobertZsoltSzabo/
opswat-distilbert-ner-finetuned

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token-classification

named-entity-recognition

distilbert/distilbert-base-cased

endpoints_compatible

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DistilBERT NER Fine-tuned on CoNLL-2003 - Prepared for OPSWAT

This model is a fine-tuned version of distilbert-base-cased for Named Entity Recognition (NER) on the CoNLL-2003 dataset.

Labels

O, B-PER, I-PER, B-ORG, I-ORG, B-LOC, I-LOC, B-MISC, I-MISC

Training details

Base model: distilbert-base-cased
Dataset: CoNLL-2003 (lhoestq/conll2003)
Learning rate: 5e-5
Batch size: 16
Epochs: 3
Weight decay: 0.01
Warmup steps: 500