trainer_state.json

{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1650,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9090909090909091,
      "grad_norm": 0.5205761790275574,
      "learning_rate": 0.0002,
      "loss": 0.8035,
      "step": 250
    },
    {
      "epoch": 1.8181818181818183,
      "grad_norm": 0.3349571228027344,
      "learning_rate": 0.0002,
      "loss": 0.3891,
      "step": 500
    },
    {
      "epoch": 2.7272727272727275,
      "grad_norm": 0.42590829730033875,
      "learning_rate": 0.0002,
      "loss": 0.2422,
      "step": 750
    },
    {
      "epoch": 3.6363636363636362,
      "grad_norm": 0.2039356529712677,
      "learning_rate": 0.0002,
      "loss": 0.1883,
      "step": 1000
    },
    {
      "epoch": 4.545454545454545,
      "grad_norm": 0.3233167231082916,
      "learning_rate": 0.0002,
      "loss": 0.158,
      "step": 1250
    },
    {
      "epoch": 5.454545454545454,
      "grad_norm": 0.279433935880661,
      "learning_rate": 0.0002,
      "loss": 0.1395,
      "step": 1500
    }
  ],
  "logging_steps": 250,
  "max_steps": 1650,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 250,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 2.0351908666638336e+16,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}