Token Classification
SpanMarker
PyTorch
TensorBoard
Safetensors
English
multilingual
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-xlm-roberta-base-fewnerd-fine-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-xlm-roberta-base-fewnerd-fine-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-xlm-roberta-base-fewnerd-fine-super") - Notebooks
- Google Colab
- Kaggle
Upload all_results.json with huggingface_hub
Browse files- all_results.json +11 -0
all_results.json
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{
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"epoch": 3.0,
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"test_loss": 0.023421578109264374,
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"test_overall_accuracy": 0.9225603373768171,
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"test_overall_f1": 0.6859873927870208,
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"test_overall_precision": 0.6847278953665883,
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"test_overall_recall": 0.6872515322179891,
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"test_runtime": 301.9559,
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"test_samples_per_second": 153.923,
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"test_steps_per_second": 4.812
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}
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