{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 14624,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.07,
      "learning_rate": 2.897428884026258e-05,
      "loss": 2.312,
      "step": 500
    },
    {
      "epoch": 0.14,
      "learning_rate": 2.7948577680525165e-05,
      "loss": 1.3869,
      "step": 1000
    },
    {
      "epoch": 0.21,
      "learning_rate": 2.6922866520787748e-05,
      "loss": 1.2412,
      "step": 1500
    },
    {
      "epoch": 0.27,
      "learning_rate": 2.589715536105033e-05,
      "loss": 1.1941,
      "step": 2000
    },
    {
      "epoch": 0.34,
      "learning_rate": 2.4871444201312912e-05,
      "loss": 1.1124,
      "step": 2500
    },
    {
      "epoch": 0.41,
      "learning_rate": 2.3845733041575492e-05,
      "loss": 1.0717,
      "step": 3000
    },
    {
      "epoch": 0.48,
      "learning_rate": 2.2820021881838072e-05,
      "loss": 1.0639,
      "step": 3500
    },
    {
      "epoch": 0.55,
      "learning_rate": 2.179431072210066e-05,
      "loss": 1.0421,
      "step": 4000
    },
    {
      "epoch": 0.62,
      "learning_rate": 2.076859956236324e-05,
      "loss": 1.0151,
      "step": 4500
    },
    {
      "epoch": 0.68,
      "learning_rate": 1.9742888402625823e-05,
      "loss": 0.9628,
      "step": 5000
    },
    {
      "epoch": 0.75,
      "learning_rate": 1.8717177242888403e-05,
      "loss": 0.9981,
      "step": 5500
    },
    {
      "epoch": 0.82,
      "learning_rate": 1.7691466083150983e-05,
      "loss": 0.9595,
      "step": 6000
    },
    {
      "epoch": 0.89,
      "learning_rate": 1.6665754923413567e-05,
      "loss": 0.9538,
      "step": 6500
    },
    {
      "epoch": 0.96,
      "learning_rate": 1.564004376367615e-05,
      "loss": 0.9635,
      "step": 7000
    },
    {
      "epoch": 1.03,
      "learning_rate": 1.4614332603938733e-05,
      "loss": 0.888,
      "step": 7500
    },
    {
      "epoch": 1.09,
      "learning_rate": 1.3588621444201313e-05,
      "loss": 0.7912,
      "step": 8000
    },
    {
      "epoch": 1.16,
      "learning_rate": 1.2562910284463895e-05,
      "loss": 0.7671,
      "step": 8500
    },
    {
      "epoch": 1.23,
      "learning_rate": 1.1537199124726478e-05,
      "loss": 0.7927,
      "step": 9000
    },
    {
      "epoch": 1.3,
      "learning_rate": 1.0511487964989058e-05,
      "loss": 0.755,
      "step": 9500
    },
    {
      "epoch": 1.37,
      "learning_rate": 9.485776805251642e-06,
      "loss": 0.7759,
      "step": 10000
    },
    {
      "epoch": 1.44,
      "learning_rate": 8.460065645514224e-06,
      "loss": 0.7641,
      "step": 10500
    },
    {
      "epoch": 1.5,
      "learning_rate": 7.434354485776806e-06,
      "loss": 0.7664,
      "step": 11000
    },
    {
      "epoch": 1.57,
      "learning_rate": 6.408643326039388e-06,
      "loss": 0.7368,
      "step": 11500
    },
    {
      "epoch": 1.64,
      "learning_rate": 5.3829321663019695e-06,
      "loss": 0.7796,
      "step": 12000
    },
    {
      "epoch": 1.71,
      "learning_rate": 4.357221006564551e-06,
      "loss": 0.786,
      "step": 12500
    },
    {
      "epoch": 1.78,
      "learning_rate": 3.3315098468271337e-06,
      "loss": 0.7576,
      "step": 13000
    },
    {
      "epoch": 1.85,
      "learning_rate": 2.3057986870897156e-06,
      "loss": 0.7426,
      "step": 13500
    },
    {
      "epoch": 1.91,
      "learning_rate": 1.2800875273522977e-06,
      "loss": 0.7479,
      "step": 14000
    },
    {
      "epoch": 1.98,
      "learning_rate": 2.543763676148797e-07,
      "loss": 0.7257,
      "step": 14500
    },
    {
      "epoch": 2.0,
      "step": 14624,
      "total_flos": 8609639294979072.0,
      "train_loss": 0.9584584199625762,
      "train_runtime": 2641.6705,
      "train_samples_per_second": 66.427,
      "train_steps_per_second": 5.536
    }
  ],
  "logging_steps": 500,
  "max_steps": 14624,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "total_flos": 8609639294979072.0,
  "train_batch_size": 12,
  "trial_name": null,
  "trial_params": null
}