{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 124.008,
  "global_step": 3000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0,
      "learning_rate": 2e-06,
      "loss": 10.9249,
      "step": 1
    },
    {
      "epoch": 2.0,
      "learning_rate": 9.999999999999999e-05,
      "loss": 9.4777,
      "step": 50
    },
    {
      "epoch": 4.0,
      "learning_rate": 0.00019999999999999998,
      "loss": 7.5746,
      "step": 100
    },
    {
      "epoch": 6.0,
      "learning_rate": 0.0003,
      "loss": 7.4907,
      "step": 150
    },
    {
      "epoch": 8.0,
      "learning_rate": 0.00039999999999999996,
      "loss": 7.4463,
      "step": 200
    },
    {
      "epoch": 10.0,
      "learning_rate": 0.0005,
      "loss": 7.3226,
      "step": 250
    },
    {
      "epoch": 12.0,
      "learning_rate": 0.0006,
      "loss": 7.1144,
      "step": 300
    },
    {
      "epoch": 14.0,
      "learning_rate": 0.0005888888888888889,
      "loss": 6.9433,
      "step": 350
    },
    {
      "epoch": 16.01,
      "learning_rate": 0.0005777777777777776,
      "loss": 6.7929,
      "step": 400
    },
    {
      "epoch": 18.01,
      "learning_rate": 0.0005666666666666666,
      "loss": 6.6669,
      "step": 450
    },
    {
      "epoch": 20.01,
      "learning_rate": 0.0005555555555555556,
      "loss": 6.5658,
      "step": 500
    },
    {
      "epoch": 22.01,
      "learning_rate": 0.0005444444444444444,
      "loss": 6.483,
      "step": 550
    },
    {
      "epoch": 24.01,
      "learning_rate": 0.0005333333333333333,
      "loss": 6.4096,
      "step": 600
    },
    {
      "epoch": 27.0,
      "learning_rate": 0.0005222222222222222,
      "loss": 6.4584,
      "step": 650
    },
    {
      "epoch": 29.0,
      "learning_rate": 0.0005111111111111111,
      "loss": 6.2813,
      "step": 700
    },
    {
      "epoch": 31.0,
      "learning_rate": 0.0005,
      "loss": 6.2244,
      "step": 750
    },
    {
      "epoch": 33.0,
      "learning_rate": 0.0004888888888888889,
      "loss": 6.1753,
      "step": 800
    },
    {
      "epoch": 35.0,
      "learning_rate": 0.0004777777777777777,
      "loss": 6.1345,
      "step": 850
    },
    {
      "epoch": 37.0,
      "learning_rate": 0.0004666666666666666,
      "loss": 6.088,
      "step": 900
    },
    {
      "epoch": 39.0,
      "learning_rate": 0.00045555555555555556,
      "loss": 6.0478,
      "step": 950
    },
    {
      "epoch": 41.01,
      "learning_rate": 0.00044444444444444436,
      "loss": 6.0083,
      "step": 1000
    },
    {
      "epoch": 41.01,
      "eval_loss": 6.419702053070068,
      "eval_runtime": 96.6209,
      "eval_samples_per_second": 133.625,
      "eval_steps_per_second": 8.352,
      "step": 1000
    },
    {
      "epoch": 41.01,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 6.419702053070068,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 613.8202010332798,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 96.6209,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 133.625,
      "step": 1000
    },
    {
      "epoch": 43.01,
      "learning_rate": 0.0004333333333333333,
      "loss": 5.9754,
      "step": 1050
    },
    {
      "epoch": 45.01,
      "learning_rate": 0.0004222222222222222,
      "loss": 5.9343,
      "step": 1100
    },
    {
      "epoch": 47.01,
      "learning_rate": 0.0004111111111111111,
      "loss": 5.8889,
      "step": 1150
    },
    {
      "epoch": 49.01,
      "learning_rate": 0.00039999999999999996,
      "loss": 5.8478,
      "step": 1200
    },
    {
      "epoch": 52.0,
      "learning_rate": 0.00038888888888888887,
      "loss": 5.9313,
      "step": 1250
    },
    {
      "epoch": 54.0,
      "learning_rate": 0.00037777777777777777,
      "loss": 5.781,
      "step": 1300
    },
    {
      "epoch": 56.0,
      "learning_rate": 0.00036666666666666667,
      "loss": 5.7562,
      "step": 1350
    },
    {
      "epoch": 58.0,
      "learning_rate": 0.0003555555555555555,
      "loss": 5.728,
      "step": 1400
    },
    {
      "epoch": 60.0,
      "learning_rate": 0.0003444444444444444,
      "loss": 5.7015,
      "step": 1450
    },
    {
      "epoch": 62.0,
      "learning_rate": 0.0003333333333333333,
      "loss": 5.6735,
      "step": 1500
    },
    {
      "epoch": 64.0,
      "learning_rate": 0.0003222222222222222,
      "loss": 5.6514,
      "step": 1550
    },
    {
      "epoch": 66.01,
      "learning_rate": 0.00031111111111111107,
      "loss": 5.6291,
      "step": 1600
    },
    {
      "epoch": 68.01,
      "learning_rate": 0.0003,
      "loss": 5.6076,
      "step": 1650
    },
    {
      "epoch": 70.01,
      "learning_rate": 0.0002888888888888888,
      "loss": 5.588,
      "step": 1700
    },
    {
      "epoch": 72.01,
      "learning_rate": 0.0002777777777777778,
      "loss": 5.5709,
      "step": 1750
    },
    {
      "epoch": 74.01,
      "learning_rate": 0.0002666666666666666,
      "loss": 5.5555,
      "step": 1800
    },
    {
      "epoch": 77.0,
      "learning_rate": 0.00025555555555555553,
      "loss": 5.6504,
      "step": 1850
    },
    {
      "epoch": 79.0,
      "learning_rate": 0.00024444444444444443,
      "loss": 5.5204,
      "step": 1900
    },
    {
      "epoch": 81.0,
      "learning_rate": 0.0002333333333333333,
      "loss": 5.503,
      "step": 1950
    },
    {
      "epoch": 83.0,
      "learning_rate": 0.00022222222222222218,
      "loss": 5.4859,
      "step": 2000
    },
    {
      "epoch": 83.0,
      "eval_loss": 6.717416286468506,
      "eval_runtime": 98.5086,
      "eval_samples_per_second": 131.065,
      "eval_steps_per_second": 8.192,
      "step": 2000
    },
    {
      "epoch": 83.0,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 6.717416286468506,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 826.6788484978945,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 98.5086,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 131.065,
      "step": 2000
    },
    {
      "epoch": 85.0,
      "learning_rate": 0.0002111111111111111,
      "loss": 5.4736,
      "step": 2050
    },
    {
      "epoch": 87.0,
      "learning_rate": 0.00019999999999999998,
      "loss": 5.4581,
      "step": 2100
    },
    {
      "epoch": 89.0,
      "learning_rate": 0.00018888888888888888,
      "loss": 5.4442,
      "step": 2150
    },
    {
      "epoch": 91.01,
      "learning_rate": 0.00017777777777777776,
      "loss": 5.4336,
      "step": 2200
    },
    {
      "epoch": 93.01,
      "learning_rate": 0.00016666666666666666,
      "loss": 5.4204,
      "step": 2250
    },
    {
      "epoch": 95.01,
      "learning_rate": 0.00015555555555555554,
      "loss": 5.4075,
      "step": 2300
    },
    {
      "epoch": 97.01,
      "learning_rate": 0.0001444444444444444,
      "loss": 5.3961,
      "step": 2350
    },
    {
      "epoch": 99.01,
      "learning_rate": 0.0001333333333333333,
      "loss": 5.386,
      "step": 2400
    },
    {
      "epoch": 102.0,
      "learning_rate": 0.00012222222222222221,
      "loss": 5.4928,
      "step": 2450
    },
    {
      "epoch": 104.0,
      "learning_rate": 0.00011111111111111109,
      "loss": 5.3674,
      "step": 2500
    },
    {
      "epoch": 106.0,
      "learning_rate": 9.999999999999999e-05,
      "loss": 5.3581,
      "step": 2550
    },
    {
      "epoch": 108.0,
      "learning_rate": 8.888888888888888e-05,
      "loss": 5.3486,
      "step": 2600
    },
    {
      "epoch": 110.0,
      "learning_rate": 7.777777777777777e-05,
      "loss": 5.3394,
      "step": 2650
    },
    {
      "epoch": 112.0,
      "learning_rate": 6.666666666666666e-05,
      "loss": 5.3318,
      "step": 2700
    },
    {
      "epoch": 114.0,
      "learning_rate": 5.5555555555555545e-05,
      "loss": 5.3247,
      "step": 2750
    },
    {
      "epoch": 116.01,
      "learning_rate": 4.444444444444444e-05,
      "loss": 5.3189,
      "step": 2800
    },
    {
      "epoch": 118.01,
      "learning_rate": 3.333333333333333e-05,
      "loss": 5.3142,
      "step": 2850
    },
    {
      "epoch": 120.01,
      "learning_rate": 2.222222222222222e-05,
      "loss": 5.3077,
      "step": 2900
    },
    {
      "epoch": 122.01,
      "learning_rate": 1.111111111111111e-05,
      "loss": 5.3031,
      "step": 2950
    },
    {
      "epoch": 124.01,
      "learning_rate": 0.0,
      "loss": 5.2998,
      "step": 3000
    },
    {
      "epoch": 124.01,
      "eval_loss": 6.8880181312561035,
      "eval_runtime": 98.4154,
      "eval_samples_per_second": 131.189,
      "eval_steps_per_second": 8.2,
      "step": 3000
    },
    {
      "epoch": 124.01,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 6.8880181312561035,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 980.456354621549,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 98.4154,
      "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 131.189,
      "step": 3000
    }
  ],
  "max_steps": 3000,
  "num_train_epochs": 9223372036854775807,
  "total_flos": 1.3880528524541952e+17,
  "trial_name": null,
  "trial_params": null
}