Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("nbroad/span-marker-xdistil-l12-h384-orgs-v3") - Notebooks
- Google Colab
- Kaggle
Upload all_results.json with huggingface_hub
Browse files- all_results.json +17 -0
all_results.json
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{
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"epoch": 3.0,
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"test_ORG": {
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"f1": 0.7558602090122487,
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"number": 22428,
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"precision": 0.7620428694430598,
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"recall": 0.749777064383806
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},
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"test_loss": 0.006781590636819601,
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"test_overall_accuracy": 0.971484458026341,
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"test_overall_f1": 0.7558602090122487,
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"test_overall_precision": 0.7620428694430598,
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"test_overall_recall": 0.749777064383806,
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"test_runtime": 74.9407,
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"test_samples_per_second": 460.965,
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"test_steps_per_second": 3.603
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}
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