run-7/checkpoint-292/trainer_state.json

{
  "best_metric": 0.5440313111545988,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-7/checkpoint-292",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 292,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.4084218442440033,
      "learning_rate": 0.0002846359367487843,
      "loss": 0.0564,
      "step": 146
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5420743639921722,
      "eval_f1": 0.21212121212121213,
      "eval_loss": 0.042483557015657425,
      "eval_precision": 0.7590361445783133,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 28.2636,
      "eval_samples_per_second": 36.16,
      "eval_steps_per_second": 1.132,
      "step": 146
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.22884152829647064,
      "learning_rate": 0.00022770874939902745,
      "loss": 0.0455,
      "step": 292
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5440313111545988,
      "eval_f1": 0.21283783783783783,
      "eval_loss": 0.04199887067079544,
      "eval_precision": 0.7777777777777778,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 27.8033,
      "eval_samples_per_second": 36.758,
      "eval_steps_per_second": 1.151,
      "step": 292
    }
  ],
  "logging_steps": 500,
  "max_steps": 876,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 471390394560.0,
  "train_batch_size": 21,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.04464648890006717,
    "learning_rate": 0.0003415631240985412,
    "num_train_epochs": 6,
    "per_device_train_batch_size": 21,
    "temperature": 2
  }
}