run-13/checkpoint-54/trainer_state.json

{
  "best_metric": 0.7407045009784736,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-13/checkpoint-54",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 54,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 3.1670913696289062,
      "learning_rate": 0.0002855230244841258,
      "loss": 0.5191,
      "step": 54
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7407045009784736,
      "eval_f1": 0.7881694644284573,
      "eval_loss": 0.47280439734458923,
      "eval_precision": 0.6662162162162162,
      "eval_recall": 0.9647749510763209,
      "eval_runtime": 29.2616,
      "eval_samples_per_second": 34.926,
      "eval_steps_per_second": 1.094,
      "step": 54
    }
  ],
  "logging_steps": 500,
  "max_steps": 270,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 235695197280.0,
  "train_batch_size": 57,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7778146133600564,
    "learning_rate": 0.0003569037806051572,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 57,
    "temperature": 18
  }
}