run-47/checkpoint-96/trainer_state.json

{
  "best_metric": 0.7671232876712328,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-47/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": 1.9338581562042236,
      "learning_rate": 0.0001802406049279757,
      "loss": 0.5354,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7671232876712328,
      "eval_f1": 0.8023255813953489,
      "eval_loss": 0.4617577791213989,
      "eval_precision": 0.696969696969697,
      "eval_recall": 0.9452054794520548,
      "eval_runtime": 29.4455,
      "eval_samples_per_second": 34.708,
      "eval_steps_per_second": 1.087,
      "step": 96
    }
  ],
  "logging_steps": 500,
  "max_steps": 864,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 235695197280.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8114321139277666,
    "learning_rate": 0.00020277068054397267,
    "num_train_epochs": 9,
    "temperature": 7
  }
}