all_results.json

{
    "epoch": 14.0,
    "eval_accuracy": 0.17645015630427233,
    "eval_classification_report": "               precision    recall  f1-score   support\n\n           AC     0.0000    0.0000    0.0000        65\n         ATIO     0.0000    0.0000    0.0000        26\n           LC     0.0000    0.0000    0.0000        33\n      NALYSIS     0.0000    0.0000    0.0000        92\n          ONE     0.0000    0.0000    0.0000        60\n           PC     0.0000    0.0000    0.0000        31\n      REAMBLE     0.0000    0.0000    0.0000        30\nRE_NOT_RELIED     0.0000    0.0000    0.0000         5\n    RE_RELIED     0.0000    0.0000    0.0000        29\nRG_PETITIONER     0.0000    0.0000    0.0000        19\nRG_RESPONDENT     0.0000    0.0000    0.0000        13\n         SSUE     0.0000    0.0000    0.0000        23\n           TA     0.0000    0.0000    0.0000        28\n\n    micro avg     0.0000    0.0000    0.0000       454\n    macro avg     0.0000    0.0000    0.0000       454\n weighted avg     0.0000    0.0000    0.0000       454\n",
    "eval_f1": 0.0,
    "eval_loss": NaN,
    "eval_macro-f1": 0.023074651949762666,
    "eval_micro-f1": 0.17645015630427233,
    "eval_micro_f1": 0.0,
    "eval_precision": 0.0,
    "eval_precision-macro": 0.013573088946482487,
    "eval_precision-micro": 0.17645015630427233,
    "eval_recall": 0.0,
    "eval_recall-macro": 0.07692307692307693,
    "eval_recall-micro": 0.17645015630427233,
    "eval_runtime": 1.8343,
    "eval_samples": 30,
    "eval_samples_per_second": 16.355,
    "eval_steps_per_second": 4.361,
    "predict_accuracy": 0.1738816738816739,
    "predict_eval_accuracy": 0.1738816738816739,
    "predict_eval_classification_report": "               precision    recall  f1-score   support\n\n           AC     0.0000    0.0000    0.0000       102\n         ATIO     0.0000    0.0000    0.0000        51\n           LC     0.0000    0.0000    0.0000        42\n      NALYSIS     0.0000    0.0000    0.0000       148\n          ONE     0.0000    0.0000    0.0000        98\n           PC     0.0000    0.0000    0.0000        63\n      REAMBLE     0.0000    0.0000    0.0000        54\nRE_NOT_RELIED     0.0000    0.0000    0.0000         1\n    RE_RELIED     0.0000    0.0000    0.0000        70\nRG_PETITIONER     0.0000    0.0000    0.0000        49\nRG_RESPONDENT     0.0000    0.0000    0.0000        27\n         SSUE     0.0000    0.0000    0.0000        22\n           TA     0.0000    0.0000    0.0000        61\n\n    micro avg     0.0000    0.0000    0.0000       788\n    macro avg     0.0000    0.0000    0.0000       788\n weighted avg     0.0000    0.0000    0.0000       788\n",
    "predict_eval_f1": 0.0,
    "predict_eval_micro-f1": 0.0,
    "predict_eval_micro_f1": 0.0,
    "predict_eval_precision": 0.0,
    "predict_eval_recall": 0.0,
    "predict_loss": NaN,
    "predict_macro-f1": 0.022788520637322115,
    "predict_micro-f1": 0.1738816738816739,
    "predict_precision-macro": 0.013375513375513376,
    "predict_precision-micro": 0.1738816738816739,
    "predict_recall-macro": 0.07692307692307693,
    "predict_recall-micro": 0.1738816738816739,
    "predict_runtime": 2.1377,
    "predict_samples": 50,
    "predict_samples_per_second": 23.39,
    "predict_steps_per_second": 6.081,
    "total_flos": 6.747257278287053e+16,
    "train_loss": 0.6624447870913739,
    "train_runtime": 488.5119,
    "train_samples": 247,
    "train_samples_per_second": 10.112,
    "train_steps_per_second": 2.538
}