ra1nbowdash/mountain-ner-bert

Mountain NER (BERT fine-tuned)

Fine-tuned BERT token classifier for mountain named entity recognition (O, B-MOUNTAIN, I-MOUNTAIN).

Metrics (held-out test, 831 sentences)

Metric	Value
Precision	0.9448
Recall	0.9377
F1	0.9413

Source: Task_1_NLP/artifacts/eval/notebook_eval_results.csv in the assessment repo.

Load

from transformers import AutoModelForTokenClassification, AutoTokenizer

repo = "<YOU>/mountain-ner-bert"  # after upload
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForTokenClassification.from_pretrained(repo)

Local path before upload: publish/hf-task1-bert-ner/.

Training notes

• Started from a CoNLL-2003 NER BERT checkpoint and adapted to the mountain label set.
• Full pipeline: see Task_1_NLP/ in the GitHub assessment repository.
• Intermediate Trainer checkpoints were excluded from this upload (final model.safetensors only).

Citation / context

DS internship assessment — Task 1 (Mountain NER).