run-1/checkpoint-250/trainer_state.json

{
  "best_global_step": 125,
  "best_metric": 0.7222001215424422,
  "best_model_checkpoint": "./results/run-1/checkpoint-125",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 250,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.8,
      "grad_norm": 12.130753517150879,
      "learning_rate": 1.6523003188214528e-05,
      "loss": 1623.5764,
      "step": 100
    },
    {
      "epoch": 1.0,
      "eval_economic_inequality_accuracy": 0.7770780856423174,
      "eval_economic_inequality_f1": 0.6795991195482776,
      "eval_economic_policy_benefits_accuracy": 0.8215488215488216,
      "eval_economic_policy_benefits_f1": 0.7410643713786043,
      "eval_ethnic_boundaries_accuracy": 0.946078431372549,
      "eval_ethnic_boundaries_f1": 0.9198646713093299,
      "eval_language_policy_accuracy": 0.6764705882352942,
      "eval_language_policy_f1": 0.545923632610939,
      "eval_loss": NaN,
      "eval_mother_tongue_education_accuracy": 0.7777777777777778,
      "eval_mother_tongue_education_f1": 0.6805555555555556,
      "eval_overall_accuracy": 0.8064020197505432,
      "eval_overall_f1": 0.7222001215424422,
      "eval_religion_ethnic_identity_accuracy": 0.839458413926499,
      "eval_religion_ethnic_identity_f1": 0.7661933788519465,
      "eval_runtime": 4.4741,
      "eval_samples_per_second": 894.041,
      "eval_steps_per_second": 55.878,
      "step": 125
    },
    {
      "epoch": 1.6,
      "grad_norm": 7.246724605560303,
      "learning_rate": 3.3212905398532236e-05,
      "loss": 4406.7347,
      "step": 200
    },
    {
      "epoch": 2.0,
      "eval_economic_inequality_accuracy": 0.7770780856423174,
      "eval_economic_inequality_f1": 0.6795991195482776,
      "eval_economic_policy_benefits_accuracy": 0.8215488215488216,
      "eval_economic_policy_benefits_f1": 0.7410643713786043,
      "eval_ethnic_boundaries_accuracy": 0.946078431372549,
      "eval_ethnic_boundaries_f1": 0.9198646713093299,
      "eval_language_policy_accuracy": 0.6764705882352942,
      "eval_language_policy_f1": 0.545923632610939,
      "eval_loss": NaN,
      "eval_mother_tongue_education_accuracy": 0.7777777777777778,
      "eval_mother_tongue_education_f1": 0.6805555555555556,
      "eval_overall_accuracy": 0.8064020197505432,
      "eval_overall_f1": 0.7222001215424422,
      "eval_religion_ethnic_identity_accuracy": 0.839458413926499,
      "eval_religion_ethnic_identity_f1": 0.7661933788519465,
      "eval_runtime": 4.4873,
      "eval_samples_per_second": 891.403,
      "eval_steps_per_second": 55.713,
      "step": 250
    }
  ],
  "logging_steps": 100,
  "max_steps": 2000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 16,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 2,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 1
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 6736610643148800.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "gradient_accumulation_steps": 4,
    "learning_rate": 4.305994770261968e-05,
    "num_train_epochs": 16,
    "per_device_train_batch_size": 32,
    "warmup_steps": 258,
    "weight_decay": 0.09399341365652919
  }
}