Token Classification
SpanMarker
PyTorch
TensorBoard
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec") - Notebooks
- Google Colab
- Kaggle
File size: 513 Bytes
157b659 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"epoch": 3.0,
"test_KEY": {
"f1": 0.5934525191548642,
"number": 4103,
"precision": 0.5666149412547107,
"recall": 0.6229588106263709
},
"test_loss": 0.01663602516055107,
"test_overall_accuracy": 0.9016700459688278,
"test_overall_f1": 0.5934525191548642,
"test_overall_precision": 0.5666149412547107,
"test_overall_recall": 0.6229588106263709,
"test_runtime": 23.6984,
"test_samples_per_second": 143.976,
"test_steps_per_second": 4.515
} |