{
  "base_model": "uer/roberta-base-finetuned-cluener2020-chinese",
  "lora_r": 8,
  "lora_alpha": 16,
  "lora_dropout": 0.1,
  "learning_rate": 0.0003,
  "batch_size": 16,
  "num_epochs": 10,
  "final_metrics": {
    "eval_loss": 0.0005899938987568021,
    "eval_precision": 1.0,
    "eval_recall": 1.0,
    "eval_f1": 1.0,
    "eval_runtime": 0.5923,
    "eval_samples_per_second": 675.317,
    "eval_steps_per_second": 42.207,
    "epoch": 7.0
  },
  "label_list": [
    "O",
    "B-TIME",
    "I-TIME",
    "B-LOCATION",
    "I-LOCATION",
    "B-PERSON",
    "I-PERSON",
    "B-ORGANIZATION",
    "I-ORGANIZATION",
    "B-PRODUCT",
    "I-PRODUCT",
    "B-EVENT",
    "I-EVENT",
    "B-TOPIC",
    "I-TOPIC",
    "B-CONCEPT",
    "I-CONCEPT",
    "B-SEARCH_INTENT",
    "I-SEARCH_INTENT"
  ]
}