{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.0075075075075075074,
  "eval_steps": 2,
  "global_step": 5,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0015015015015015015,
      "grad_norm": NaN,
      "learning_rate": 1e-05,
      "loss": 0.0,
      "step": 1
    },
    {
      "epoch": 0.0015015015015015015,
      "eval_loss": NaN,
      "eval_runtime": 96.7332,
      "eval_samples_per_second": 11.599,
      "eval_steps_per_second": 5.799,
      "step": 1
    },
    {
      "epoch": 0.003003003003003003,
      "grad_norm": NaN,
      "learning_rate": 2e-05,
      "loss": 0.0,
      "step": 2
    },
    {
      "epoch": 0.003003003003003003,
      "eval_loss": NaN,
      "eval_runtime": 30.3022,
      "eval_samples_per_second": 37.027,
      "eval_steps_per_second": 18.513,
      "step": 2
    },
    {
      "epoch": 0.0045045045045045045,
      "grad_norm": NaN,
      "learning_rate": 3e-05,
      "loss": 0.0,
      "step": 3
    },
    {
      "epoch": 0.006006006006006006,
      "grad_norm": NaN,
      "learning_rate": 4e-05,
      "loss": 0.0,
      "step": 4
    },
    {
      "epoch": 0.006006006006006006,
      "eval_loss": NaN,
      "eval_runtime": 24.1267,
      "eval_samples_per_second": 46.504,
      "eval_steps_per_second": 23.252,
      "step": 4
    },
    {
      "epoch": 0.0075075075075075074,
      "grad_norm": NaN,
      "learning_rate": 5e-05,
      "loss": 0.0,
      "step": 5
    }
  ],
  "logging_steps": 1,
  "max_steps": 5,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 2,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 830516546764800.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}