output

{
    "seqeval_result": "              precision    recall  f1-score   support\n\n         LOC     0.9691    0.9712    0.9702      1876\n         ORG     0.9286    0.9409    0.9347       982\n         PER     0.9659    0.9692    0.9675       876\n\n   micro avg     0.9576    0.9628    0.9602      3734\n   macro avg     0.9546    0.9604    0.9575      3734\nweighted avg     0.9577    0.9628    0.9602      3734\n",
    "val-token  level": {
        "f1": 0.9726518056550506,
        "precision": 0.9692617787855886,
        "recall": 0.9760656292286877
    },
    "val-entity level": {
        "f1": 0.9602029914529925,
        "precision": 0.957645178476293,
        "recall": 0.9627745045527595
    }
}