{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.0,
  "eval_steps": 1000,
  "global_step": 11032,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.00036258158085569254,
      "grad_norm": 7.228061676025391,
      "learning_rate": 0.0,
      "loss": 4.1707,
      "step": 1
    },
    {
      "epoch": 0.36258158085569253,
      "grad_norm": 5.671091556549072,
      "learning_rate": 6.036253776435046e-06,
      "loss": 3.5534,
      "step": 1000
    },
    {
      "epoch": 0.36258158085569253,
      "eval_cosine_accuracy": 0.9460511207580566,
      "eval_loss": 0.562572181224823,
      "eval_runtime": 36.9213,
      "eval_samples_per_second": 257.548,
      "eval_steps_per_second": 1.029,
      "step": 1000
    },
    {
      "epoch": 0.7251631617113851,
      "grad_norm": 7.58541202545166,
      "learning_rate": 1.20785498489426e-05,
      "loss": 2.3098,
      "step": 2000
    },
    {
      "epoch": 0.7251631617113851,
      "eval_cosine_accuracy": 0.9515196084976196,
      "eval_loss": 0.48958125710487366,
      "eval_runtime": 37.07,
      "eval_samples_per_second": 256.515,
      "eval_steps_per_second": 1.025,
      "step": 2000
    },
    {
      "epoch": 1.0877447425670776,
      "grad_norm": 4.796350955963135,
      "learning_rate": 1.8120845921450153e-05,
      "loss": 1.8951,
      "step": 3000
    },
    {
      "epoch": 1.0877447425670776,
      "eval_cosine_accuracy": 0.9584603905677795,
      "eval_loss": 0.4585486352443695,
      "eval_runtime": 37.6018,
      "eval_samples_per_second": 252.887,
      "eval_steps_per_second": 1.011,
      "step": 3000
    },
    {
      "epoch": 1.4503263234227701,
      "grad_norm": 5.870883941650391,
      "learning_rate": 1.8959057259404747e-05,
      "loss": 2.1013,
      "step": 4000
    },
    {
      "epoch": 1.4503263234227701,
      "eval_cosine_accuracy": 0.9627721309661865,
      "eval_loss": 0.4440576136112213,
      "eval_runtime": 36.7641,
      "eval_samples_per_second": 258.649,
      "eval_steps_per_second": 1.034,
      "step": 4000
    },
    {
      "epoch": 1.8129079042784626,
      "grad_norm": 7.082819938659668,
      "learning_rate": 1.7449765825653423e-05,
      "loss": 1.3955,
      "step": 5000
    },
    {
      "epoch": 1.8129079042784626,
      "eval_cosine_accuracy": 0.9620359539985657,
      "eval_loss": 0.4221404790878296,
      "eval_runtime": 35.3504,
      "eval_samples_per_second": 268.993,
      "eval_steps_per_second": 1.075,
      "step": 5000
    },
    {
      "epoch": 2.1754894851341553,
      "grad_norm": 4.699057579040527,
      "learning_rate": 1.5938963589666113e-05,
      "loss": 1.5692,
      "step": 6000
    },
    {
      "epoch": 2.1754894851341553,
      "eval_cosine_accuracy": 0.9658218622207642,
      "eval_loss": 0.43071484565734863,
      "eval_runtime": 35.2189,
      "eval_samples_per_second": 269.997,
      "eval_steps_per_second": 1.079,
      "step": 6000
    },
    {
      "epoch": 2.5380710659898478,
      "grad_norm": 5.574090003967285,
      "learning_rate": 1.4429672155914791e-05,
      "loss": 1.5498,
      "step": 7000
    },
    {
      "epoch": 2.5380710659898478,
      "eval_cosine_accuracy": 0.9675044417381287,
      "eval_loss": 0.4103427529335022,
      "eval_runtime": 34.5343,
      "eval_samples_per_second": 275.35,
      "eval_steps_per_second": 1.1,
      "step": 7000
    },
    {
      "epoch": 2.9006526468455403,
      "grad_norm": 6.49234676361084,
      "learning_rate": 1.2918869919927484e-05,
      "loss": 1.0831,
      "step": 8000
    },
    {
      "epoch": 2.9006526468455403,
      "eval_cosine_accuracy": 0.9663476943969727,
      "eval_loss": 0.3991580605506897,
      "eval_runtime": 34.1907,
      "eval_samples_per_second": 278.116,
      "eval_steps_per_second": 1.111,
      "step": 8000
    },
    {
      "epoch": 3.2632342277012327,
      "grad_norm": 4.949916839599609,
      "learning_rate": 1.1409578486176161e-05,
      "loss": 1.553,
      "step": 9000
    },
    {
      "epoch": 3.2632342277012327,
      "eval_cosine_accuracy": 0.9682406187057495,
      "eval_loss": 0.40829211473464966,
      "eval_runtime": 35.8733,
      "eval_samples_per_second": 265.072,
      "eval_steps_per_second": 1.059,
      "step": 9000
    },
    {
      "epoch": 3.625815808556925,
      "grad_norm": 6.085237979888916,
      "learning_rate": 9.89877625018885e-06,
      "loss": 1.2422,
      "step": 10000
    },
    {
      "epoch": 3.625815808556925,
      "eval_cosine_accuracy": 0.9673992991447449,
      "eval_loss": 0.40137091279029846,
      "eval_runtime": 35.6433,
      "eval_samples_per_second": 266.782,
      "eval_steps_per_second": 1.066,
      "step": 10000
    },
    {
      "epoch": 3.9883973894126177,
      "grad_norm": 6.651495456695557,
      "learning_rate": 8.389484816437529e-06,
      "loss": 0.9319,
      "step": 11000
    },
    {
      "epoch": 3.9883973894126177,
      "eval_cosine_accuracy": 0.9668734669685364,
      "eval_loss": 0.39452314376831055,
      "eval_runtime": 36.1394,
      "eval_samples_per_second": 263.12,
      "eval_steps_per_second": 1.051,
      "step": 11000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 16548,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "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": 0.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}