checkpoint-41/trainer_state.json

{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 41,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_Claim": {
        "f1-score": 0.3472626289341444,
        "precision": 0.3978787878787879,
        "recall": 0.3080713280150164,
        "support": 4262.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.5334239746204397,
        "precision": 0.5235765124555161,
        "recall": 0.54364896073903,
        "support": 2165.0
      },
      "eval_O": {
        "f1-score": 0.8390533194223273,
        "precision": 0.9157377442167086,
        "recall": 0.7742197000405351,
        "support": 9868.0
      },
      "eval_Premise": {
        "f1-score": 0.8562600940945159,
        "precision": 0.7896134170821731,
        "recall": 0.9351944167497508,
        "support": 13039.0
      },
      "eval_accuracy": 0.7610281584509443,
      "eval_loss": 0.6209574341773987,
      "eval_macro avg": {
        "f1-score": 0.6440000042678569,
        "precision": 0.6567016154082965,
        "recall": 0.6402836013860831,
        "support": 29334.0
      },
      "eval_runtime": 1.3904,
      "eval_samples_per_second": 57.539,
      "eval_steps_per_second": 7.192,
      "eval_weighted avg": {
        "f1-score": 0.7526914076678427,
        "precision": 0.7554909643645776,
        "recall": 0.7610281584509443,
        "support": 29334.0
      },
      "step": 41
    }
  ],
  "logging_steps": 500,
  "max_steps": 656,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 16,
  "save_steps": 500,
  "total_flos": 143788732726800.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}