{"step": 1501000, "accuracy": 71.12403100775194, "f1_macro": 51.34385976014934}
{"step": 1502000, "accuracy": 85.65891472868216, "f1_macro": 83.4095135473331}
{"step": 1503000, "accuracy": 85.65891472868216, "f1_macro": 83.24087078651685}
{"step": 1504000, "accuracy": 85.65891472868216, "f1_macro": 83.4095135473331}
{"step": 1505000, "accuracy": 86.04651162790698, "f1_macro": 83.57966197581501}
{"step": 1506000, "accuracy": 85.85271317829456, "f1_macro": 83.60657164617561}
{"step": 1507000, "accuracy": 85.27131782945736, "f1_macro": 82.90437329985352}
{"step": 1508000, "accuracy": 85.46511627906976, "f1_macro": 83.10095324597064}
{"step": 1509000, "accuracy": 84.88372093023256, "f1_macro": 82.5127304958376}
{"step": 1510000, "accuracy": 85.27131782945736, "f1_macro": 82.72818561386819}