trainer_state.json

{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.8,
  "eval_steps": 500,
  "global_step": 175,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.4,
      "grad_norm": 7.9200921058654785,
      "learning_rate": 4.8e-05,
      "loss": 5.7051,
      "step": 25
    },
    {
      "epoch": 0.8,
      "grad_norm": 3.6645238399505615,
      "learning_rate": 9.6e-05,
      "loss": 0.2689,
      "step": 50
    },
    {
      "epoch": 1.2,
      "grad_norm": 4.637652397155762,
      "learning_rate": 8.83838383838384e-05,
      "loss": 0.2192,
      "step": 75
    },
    {
      "epoch": 1.6,
      "grad_norm": 3.7763524055480957,
      "learning_rate": 7.575757575757576e-05,
      "loss": 0.1836,
      "step": 100
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.533644437789917,
      "learning_rate": 6.313131313131313e-05,
      "loss": 0.1687,
      "step": 125
    },
    {
      "epoch": 2.4,
      "grad_norm": 1.9909617900848389,
      "learning_rate": 5.050505050505051e-05,
      "loss": 0.0919,
      "step": 150
    },
    {
      "epoch": 2.8,
      "grad_norm": 2.7650041580200195,
      "learning_rate": 3.787878787878788e-05,
      "loss": 0.0918,
      "step": 175
    }
  ],
  "logging_steps": 25,
  "max_steps": 248,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 25,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.4019041661178752e+16,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}