run-1/checkpoint-192/trainer_state.json

{
  "best_metric": 0.5,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-96",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 192,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.40490686893463135,
      "learning_rate": 1.4953262133881219e-05,
      "loss": 0.1703,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5,
      "eval_f1": 0.0,
      "eval_loss": 0.11485283076763153,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 25.7126,
      "eval_samples_per_second": 39.747,
      "eval_steps_per_second": 1.245,
      "step": 96
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.2503454089164734,
      "learning_rate": 1.2817081829041045e-05,
      "loss": 0.1095,
      "step": 192
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5,
      "eval_f1": 0.0038986354775828462,
      "eval_loss": 0.0978715717792511,
      "eval_precision": 0.5,
      "eval_recall": 0.0019569471624266144,
      "eval_runtime": 25.921,
      "eval_samples_per_second": 39.427,
      "eval_steps_per_second": 1.235,
      "step": 192
    }
  ],
  "logging_steps": 500,
  "max_steps": 768,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "total_flos": 471390394560.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.09656764013507046,
    "learning_rate": 1.7089442438721394e-05,
    "num_train_epochs": 8,
    "temperature": 20
  }
}