checkpoint-900/trainer_state.json

{
  "best_metric": 0.827712178226716,
  "best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v1/checkpoint-500",
  "epoch": 0.47974413646055436,
  "eval_steps": 100,
  "global_step": 900,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.05,
      "eval_accuracy": 0.687484404164213,
      "eval_f1": 0.687484404164213,
      "eval_loss": 0.11619879305362701,
      "eval_precision": 0.687484404164213,
      "eval_recall": 0.687484404164213,
      "eval_runtime": 114.5058,
      "eval_samples_per_second": 14.034,
      "eval_steps_per_second": 0.882,
      "step": 100
    },
    {
      "epoch": 0.11,
      "eval_accuracy": 0.6755467276193519,
      "eval_f1": 0.6755467276193519,
      "eval_loss": 0.1096724346280098,
      "eval_precision": 0.6755467276193519,
      "eval_recall": 0.6755467276193519,
      "eval_runtime": 97.2211,
      "eval_samples_per_second": 16.529,
      "eval_steps_per_second": 1.039,
      "step": 200
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.7780849810853704,
      "eval_f1": 0.7780849810853703,
      "eval_loss": 0.08659958839416504,
      "eval_precision": 0.7780849810853704,
      "eval_recall": 0.7780849810853704,
      "eval_runtime": 98.762,
      "eval_samples_per_second": 16.271,
      "eval_steps_per_second": 1.023,
      "step": 300
    },
    {
      "epoch": 0.21,
      "eval_accuracy": 0.7477716669827422,
      "eval_f1": 0.7477716669827422,
      "eval_loss": 0.10182594507932663,
      "eval_precision": 0.7477716669827422,
      "eval_recall": 0.7477716669827422,
      "eval_runtime": 99.9428,
      "eval_samples_per_second": 16.079,
      "eval_steps_per_second": 1.011,
      "step": 400
    },
    {
      "epoch": 0.27,
      "learning_rate": 1.4669509594882732e-05,
      "loss": 0.0975,
      "step": 500
    },
    {
      "epoch": 0.27,
      "eval_accuracy": 0.827712178226716,
      "eval_f1": 0.827712178226716,
      "eval_loss": 0.06453556567430496,
      "eval_precision": 0.827712178226716,
      "eval_recall": 0.827712178226716,
      "eval_runtime": 100.1167,
      "eval_samples_per_second": 16.051,
      "eval_steps_per_second": 1.009,
      "step": 500
    },
    {
      "epoch": 0.32,
      "eval_accuracy": 0.7984968109634982,
      "eval_f1": 0.7984968109634982,
      "eval_loss": 0.07669692486524582,
      "eval_precision": 0.7984968109634982,
      "eval_recall": 0.7984968109634982,
      "eval_runtime": 101.2405,
      "eval_samples_per_second": 15.873,
      "eval_steps_per_second": 0.998,
      "step": 600
    },
    {
      "epoch": 0.37,
      "eval_accuracy": 0.7903320790122471,
      "eval_f1": 0.7903320790122471,
      "eval_loss": 0.07575991004705429,
      "eval_precision": 0.7903320790122471,
      "eval_recall": 0.7903320790122471,
      "eval_runtime": 99.3914,
      "eval_samples_per_second": 16.168,
      "eval_steps_per_second": 1.016,
      "step": 700
    },
    {
      "epoch": 0.43,
      "eval_accuracy": 0.7865491530837334,
      "eval_f1": 0.7865491530837335,
      "eval_loss": 0.08622009307146072,
      "eval_precision": 0.7865491530837334,
      "eval_recall": 0.7865491530837334,
      "eval_runtime": 102.0728,
      "eval_samples_per_second": 15.744,
      "eval_steps_per_second": 0.989,
      "step": 800
    },
    {
      "epoch": 0.48,
      "eval_accuracy": 0.6891712497629433,
      "eval_f1": 0.6891712497629433,
      "eval_loss": 0.12430301308631897,
      "eval_precision": 0.6891712497629433,
      "eval_recall": 0.6891712497629433,
      "eval_runtime": 101.8092,
      "eval_samples_per_second": 15.784,
      "eval_steps_per_second": 0.992,
      "step": 900
    }
  ],
  "logging_steps": 500,
  "max_steps": 1876,
  "num_train_epochs": 1,
  "save_steps": 100,
  "total_flos": 2002840119705600.0,
  "trial_name": null,
  "trial_params": null
}