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
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_KEY": {
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"f1": 0.5934525191548642,
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"number": 4103,
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"precision": 0.5666149412547107,
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"recall": 0.6229588106263709
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},
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"test_loss": 0.01663602516055107,
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"test_overall_accuracy": 0.9016700459688278,
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"test_overall_f1": 0.5934525191548642,
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"test_overall_precision": 0.5666149412547107,
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"test_overall_recall": 0.6229588106263709,
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"test_runtime": 23.6984,
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"test_samples_per_second": 143.976,
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"test_steps_per_second": 4.515
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}
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