run-7/checkpoint-96/trainer_state.json

{
  "best_metric": 0.5587084148727984,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-7/checkpoint-96",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 96,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.656051516532898,
      "learning_rate": 0.00012431634381525024,
      "loss": 0.2843,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5587084148727984,
      "eval_f1": 0.26666666666666666,
      "eval_loss": 0.252745121717453,
      "eval_precision": 0.7884615384615384,
      "eval_recall": 0.16046966731898238,
      "eval_runtime": 28.5186,
      "eval_samples_per_second": 35.836,
      "eval_steps_per_second": 1.122,
      "step": 96
    }
  ],
  "logging_steps": 500,
  "max_steps": 672,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 235695197280.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.3458682038381543,
    "learning_rate": 0.0001450357344511253,
    "num_train_epochs": 7,
    "temperature": 11
  }
}