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README.md

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+
+---
+tags:
+- transformers
+- token-classification
+- ner
+- bert
+- conll2003
+license: apache-2.0
+datasets:
+- conll2003
+language:
+- en
+pipeline_tag: token-classification
+authors:
+- Karan D Vasa (https://huggingface.co/starkdv123)
+---
+
+# BERT (base-cased) for CoNLL-2003 NER — Full Fine-Tune
+
+This repository contains a **BERT base cased** model fine-tuned on **CoNLL-2003** (parquet version).
+Evaluated with **seqeval** (entity-level F1).
+
+## 📊 Result (this run)
+- **Entity Macro F1**: 0.9192
+
+## Usage
+```python
+from transformers import pipeline
+clf = pipeline("token-classification", model="starkdv123/conll2003-bert-ner-full", aggregation_strategy="simple")
+clf("Chris Hoiles hit his 22nd homer for Baltimore.")
+```
+
+## Training summary
+
+* Base: `bert-base-cased`
+* Epochs: 3, LR: 3e-5, batch 16/32, max_len 256, weight_decay 0.01, fp16
+* Label alignment: -100 for subword continuations
+* Metric: seqeval F1 (entity-level)
+
+## Confusion Matrix
+```
+         LOC    MISC       O     ORG     PER
+   LOC    411       6      21      32       3
+  MISC      9    2213      51      76      14
+     O     67     110   38063      58      17
+   ORG     31      77      32    2353      10
+   PER      3      42      15      24    2689
+```