Token Classification
SpanMarker
Safetensors
ner
named-entity-recognition
generated_from_span_marker_trainer
Instructions to use andrewrreed/span-marker-roberta-base-person-names-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use andrewrreed/span-marker-roberta-base-person-names-augmented with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("andrewrreed/span-marker-roberta-base-person-names-augmented") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "val_PER": { | |
| "f1": 0.9529913398130248, | |
| "number": 18843, | |
| "precision": 0.9511524635229436, | |
| "recall": 0.9548373401263068 | |
| }, | |
| "val_loss": 0.0016675328370183706, | |
| "val_overall_accuracy": 0.9929007329723841, | |
| "val_overall_f1": 0.9529913398130248, | |
| "val_overall_precision": 0.9511524635229436, | |
| "val_overall_recall": 0.9548373401263068, | |
| "val_runtime": 217.122, | |
| "val_samples_per_second": 97.401, | |
| "val_steps_per_second": 6.089 | |
| } |