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span-marker-bert-base-uncased-sourcedata

Token Classification
SpanMarker
PyTorch
TensorBoard
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results
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span-marker-bert-base-uncased-sourcedata
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{
    "epoch": 3.0,
    "test_CELL_LINE": {
        "f1": 0.8961869076482257,
        "number": 2293,
        "precision": 0.9059714795008913,
        "recall": 0.886611426079372
    },
    "test_CELL_TYPE": {
        "f1": 0.7550585729499467,
        "number": 2746,
        "precision": 0.7364958448753463,
        "recall": 0.7745812090313183
    },
    "test_DISEASE": {
        "f1": 0.636288318144159,
        "number": 588,
        "precision": 0.6203554119547657,
        "recall": 0.6530612244897959
    },
    "test_EXP_ASSAY": {
        "f1": 0.7159699892818864,
        "number": 9884,
        "precision": 0.722422494592646,
        "recall": 0.7096317280453258
    },
    "test_GENEPROD": {
        "f1": 0.8951861943687557,
        "number": 24751,
        "precision": 0.8944099378881988,
        "recall": 0.8959637994424468
    },
    "test_ORGANISM": {
        "f1": 0.8826229508196721,
        "number": 3780,
        "precision": 0.8751625487646294,
        "recall": 0.8902116402116402
    },
    "test_SMALL_MOLECULE": {
        "f1": 0.8263117870722434,
        "number": 6607,
        "precision": 0.8303530490600642,
        "recall": 0.8223096715604662
    },
    "test_SUBCELLULAR": {
        "f1": 0.7777915172499072,
        "number": 4085,
        "precision": 0.7858570714642679,
        "recall": 0.769889840881273
    },
    "test_TISSUE": {
        "f1": 0.8094430308170767,
        "number": 3554,
        "precision": 0.8133522727272727,
        "recall": 0.8055711873944851
    },
    "test_loss": 0.01714123599231243,
    "test_overall_accuracy": 0.9579432992620136,
    "test_overall_f1": 0.8336481983993405,
    "test_overall_precision": 0.8345368269032392,
    "test_overall_recall": 0.8327614603348888,
    "test_runtime": 127.5984,
    "test_samples_per_second": 184.791,
    "test_steps_per_second": 5.776
}