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imvladikon
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t5-english-ner

Token Classification
Transformers
PyTorch
t5
Generated from Trainer
custom_code
text-generation-inference
Model card Files Community
1
t5-english-ner
File size: 1,597 Bytes 
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{
    "epoch": 3.0,
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    "eval_COMMERCIAL_ITEM_number": 1,
    "eval_COMMERCIAL_ITEM_precision": 0.0,
    "eval_COMMERCIAL_ITEM_recall": 0.0,
    "eval_DATE_f1": 0.8666666666666666,
    "eval_DATE_number": 14,
    "eval_DATE_precision": 0.8125,
    "eval_DATE_recall": 0.9285714285714286,
    "eval_LOCATION_f1": 0.7317073170731706,
    "eval_LOCATION_number": 20,
    "eval_LOCATION_precision": 0.7142857142857143,
    "eval_LOCATION_recall": 0.75,
    "eval_ORGANIZATION_f1": 0.8848484848484848,
    "eval_ORGANIZATION_number": 80,
    "eval_ORGANIZATION_precision": 0.8588235294117647,
    "eval_ORGANIZATION_recall": 0.9125,
    "eval_OTHER_f1": 0.35,
    "eval_OTHER_number": 21,
    "eval_OTHER_precision": 0.3684210526315789,
    "eval_OTHER_recall": 0.3333333333333333,
    "eval_PERSON_f1": 0.8709677419354839,
    "eval_PERSON_number": 29,
    "eval_PERSON_precision": 0.8181818181818182,
    "eval_PERSON_recall": 0.9310344827586207,
    "eval_QUANTITY_f1": 0.8275862068965518,
    "eval_QUANTITY_number": 14,
    "eval_QUANTITY_precision": 0.8,
    "eval_QUANTITY_recall": 0.8571428571428571,
    "eval_TITLE_f1": 0.0,
    "eval_TITLE_number": 7,
    "eval_TITLE_precision": 0.0,
    "eval_TITLE_recall": 0.0,
    "eval_loss": 0.19558680057525635,
    "eval_overall_accuracy": 0.9534472598703595,
    "eval_overall_f1": 0.7696335078534032,
    "eval_overall_precision": 0.75,
    "eval_overall_recall": 0.7903225806451613,
    "eval_runtime": 14.8553,
    "eval_samples": 35,
    "eval_samples_per_second": 2.356,
    "eval_steps_per_second": 1.212
}