checkpoint-500/trainer_state.json

{
  "best_global_step": 500,
  "best_metric": 0.05313490703701973,
  "best_model_checkpoint": "siglip2-finetune-full/checkpoint-500",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.979375,
      "eval_loss": 0.07109048962593079,
      "eval_model_preparation_time": 0.0025,
      "eval_runtime": 204.2263,
      "eval_samples_per_second": 39.172,
      "eval_steps_per_second": 4.897,
      "step": 250
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.33399081230163574,
      "learning_rate": 0.00010526315789473685,
      "loss": 0.2184,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.985125,
      "eval_loss": 0.05313490703701973,
      "eval_model_preparation_time": 0.0025,
      "eval_runtime": 204.4851,
      "eval_samples_per_second": 39.123,
      "eval_steps_per_second": 4.89,
      "step": 500
    }
  ],
  "logging_steps": 500,
  "max_steps": 1000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.340087933140992e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}