trainer_state.json

{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.08130081300813008,
  "eval_steps": 500,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.008130081300813009,
      "grad_norm": 13.1743803024292,
      "learning_rate": 2e-05,
      "loss": 1.3419,
      "step": 1
    },
    {
      "epoch": 0.04065040650406504,
      "grad_norm": 23.33847999572754,
      "learning_rate": 1.1736481776669307e-05,
      "loss": 1.7476,
      "step": 5
    },
    {
      "epoch": 0.08130081300813008,
      "grad_norm": 6.350980281829834,
      "learning_rate": 0.0,
      "loss": 1.3456,
      "step": 10
    },
    {
      "epoch": 0.08130081300813008,
      "eval_loss": 1.2611583471298218,
      "eval_runtime": 7.3824,
      "eval_samples_per_second": 35.083,
      "eval_steps_per_second": 0.677,
      "step": 10
    },
    {
      "epoch": 0.08130081300813008,
      "step": 10,
      "total_flos": 1.3980126869979136e+16,
      "train_loss": 1.5060624361038208,
      "train_runtime": 361.6153,
      "train_samples_per_second": 3.54,
      "train_steps_per_second": 0.028
    }
  ],
  "logging_steps": 5,
  "max_steps": 10,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 100000000,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.3980126869979136e+16,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}