run-0/checkpoint-1588/trainer_state.json

{
  "best_metric": 0.6762159609633244,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-1588",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 1588,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.0009326934814453,
      "learning_rate": 3.0645727808436554e-05,
      "loss": 0.5665,
      "step": 1588
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6762159609633244,
      "eval_f1": 0.23045267489711932,
      "eval_loss": 0.5539034605026245,
      "eval_mcc": 0.1452179000925905,
      "eval_precision": 0.5544554455445545,
      "eval_recall": 0.14545454545454545,
      "eval_runtime": 24.2515,
      "eval_samples_per_second": 523.927,
      "eval_steps_per_second": 16.411,
      "step": 1588
    }
  ],
  "logging_steps": 500,
  "max_steps": 9528,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 3908894076300.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8938428030285009,
    "learning_rate": 3.677487337012386e-05,
    "num_train_epochs": 6,
    "temperature": 20
  }
}