Abathar's picture
Add checkpoint-3000
59c1685 verified
Raw History Blame Contribute Delete
9.77 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 13.038,
"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": 11.0003,
"step": 1
},
{
"epoch": 0.02,
"learning_rate": 9.999999999999999e-05,
"loss": 8.6716,
"step": 50
},
{
"epoch": 0.03,
"learning_rate": 0.00019999999999999998,
"loss": 6.5968,
"step": 100
},
{
"epoch": 0.05,
"learning_rate": 0.0003,
"loss": 6.4124,
"step": 150
},
{
"epoch": 0.07,
"learning_rate": 0.00039999999999999996,
"loss": 6.3511,
"step": 200
},
{
"epoch": 1.01,
"learning_rate": 0.0005,
"loss": 6.2324,
"step": 250
},
{
"epoch": 1.03,
"learning_rate": 0.0006,
"loss": 5.9468,
"step": 300
},
{
"epoch": 1.04,
"learning_rate": 0.0005888888888888889,
"loss": 5.7313,
"step": 350
},
{
"epoch": 1.06,
"learning_rate": 0.0005777777777777776,
"loss": 5.5975,
"step": 400
},
{
"epoch": 2.0,
"learning_rate": 0.0005666666666666666,
"loss": 5.5131,
"step": 450
},
{
"epoch": 2.02,
"learning_rate": 0.0005555555555555556,
"loss": 5.4325,
"step": 500
},
{
"epoch": 2.04,
"learning_rate": 0.0005444444444444444,
"loss": 5.358,
"step": 550
},
{
"epoch": 2.05,
"learning_rate": 0.0005333333333333333,
"loss": 5.2858,
"step": 600
},
{
"epoch": 2.07,
"learning_rate": 0.0005222222222222222,
"loss": 5.236,
"step": 650
},
{
"epoch": 3.01,
"learning_rate": 0.0005111111111111111,
"loss": 5.1964,
"step": 700
},
{
"epoch": 3.03,
"learning_rate": 0.0005,
"loss": 5.1535,
"step": 750
},
{
"epoch": 3.04,
"learning_rate": 0.0004888888888888889,
"loss": 5.1162,
"step": 800
},
{
"epoch": 3.06,
"learning_rate": 0.0004777777777777777,
"loss": 5.0909,
"step": 850
},
{
"epoch": 4.0,
"learning_rate": 0.0004666666666666666,
"loss": 5.0736,
"step": 900
},
{
"epoch": 4.02,
"learning_rate": 0.00045555555555555556,
"loss": 5.0428,
"step": 950
},
{
"epoch": 4.04,
"learning_rate": 0.00044444444444444436,
"loss": 5.023,
"step": 1000
},
{
"epoch": 4.04,
"eval_loss": 5.509557247161865,
"eval_runtime": 94.7916,
"eval_samples_per_second": 132.016,
"eval_steps_per_second": 8.26,
"step": 1000
},
{
"epoch": 4.04,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.509557247161865,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 247.04172442561864,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 94.7916,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 132.016,
"step": 1000
},
{
"epoch": 4.05,
"learning_rate": 0.0004333333333333333,
"loss": 4.9998,
"step": 1050
},
{
"epoch": 4.07,
"learning_rate": 0.0004222222222222222,
"loss": 4.9868,
"step": 1100
},
{
"epoch": 5.01,
"learning_rate": 0.0004111111111111111,
"loss": 4.9725,
"step": 1150
},
{
"epoch": 5.03,
"learning_rate": 0.00039999999999999996,
"loss": 4.9538,
"step": 1200
},
{
"epoch": 5.05,
"learning_rate": 0.00038888888888888887,
"loss": 4.9341,
"step": 1250
},
{
"epoch": 5.06,
"learning_rate": 0.00037777777777777777,
"loss": 4.9214,
"step": 1300
},
{
"epoch": 6.01,
"learning_rate": 0.00036666666666666667,
"loss": 4.9174,
"step": 1350
},
{
"epoch": 6.02,
"learning_rate": 0.0003555555555555555,
"loss": 4.8944,
"step": 1400
},
{
"epoch": 6.04,
"learning_rate": 0.0003444444444444444,
"loss": 4.8858,
"step": 1450
},
{
"epoch": 6.06,
"learning_rate": 0.0003333333333333333,
"loss": 4.875,
"step": 1500
},
{
"epoch": 6.07,
"learning_rate": 0.0003222222222222222,
"loss": 4.8668,
"step": 1550
},
{
"epoch": 7.02,
"learning_rate": 0.00031111111111111107,
"loss": 4.8608,
"step": 1600
},
{
"epoch": 7.03,
"learning_rate": 0.0003,
"loss": 4.8481,
"step": 1650
},
{
"epoch": 7.05,
"learning_rate": 0.0002888888888888888,
"loss": 4.8351,
"step": 1700
},
{
"epoch": 7.07,
"learning_rate": 0.0002777777777777778,
"loss": 4.8309,
"step": 1750
},
{
"epoch": 8.01,
"learning_rate": 0.0002666666666666666,
"loss": 4.8302,
"step": 1800
},
{
"epoch": 8.02,
"learning_rate": 0.00025555555555555553,
"loss": 4.8129,
"step": 1850
},
{
"epoch": 8.04,
"learning_rate": 0.00024444444444444443,
"loss": 4.8058,
"step": 1900
},
{
"epoch": 8.06,
"learning_rate": 0.0002333333333333333,
"loss": 4.8009,
"step": 1950
},
{
"epoch": 9.0,
"learning_rate": 0.00022222222222222218,
"loss": 4.8022,
"step": 2000
},
{
"epoch": 9.0,
"eval_loss": 5.341202735900879,
"eval_runtime": 95.0935,
"eval_samples_per_second": 131.597,
"eval_steps_per_second": 8.234,
"step": 2000
},
{
"epoch": 9.0,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.341202735900879,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 208.763646886528,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 95.0935,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 131.597,
"step": 2000
},
{
"epoch": 9.02,
"learning_rate": 0.0002111111111111111,
"loss": 4.7869,
"step": 2050
},
{
"epoch": 9.03,
"learning_rate": 0.00019999999999999998,
"loss": 4.7828,
"step": 2100
},
{
"epoch": 9.05,
"learning_rate": 0.00018888888888888888,
"loss": 4.773,
"step": 2150
},
{
"epoch": 9.07,
"learning_rate": 0.00017777777777777776,
"loss": 4.7724,
"step": 2200
},
{
"epoch": 10.01,
"learning_rate": 0.00016666666666666666,
"loss": 4.7723,
"step": 2250
},
{
"epoch": 10.03,
"learning_rate": 0.00015555555555555554,
"loss": 4.7598,
"step": 2300
},
{
"epoch": 10.04,
"learning_rate": 0.0001444444444444444,
"loss": 4.7524,
"step": 2350
},
{
"epoch": 10.06,
"learning_rate": 0.0001333333333333333,
"loss": 4.7508,
"step": 2400
},
{
"epoch": 11.0,
"learning_rate": 0.00012222222222222221,
"loss": 4.7549,
"step": 2450
},
{
"epoch": 11.02,
"learning_rate": 0.00011111111111111109,
"loss": 4.7409,
"step": 2500
},
{
"epoch": 11.04,
"learning_rate": 9.999999999999999e-05,
"loss": 4.7395,
"step": 2550
},
{
"epoch": 11.05,
"learning_rate": 8.888888888888888e-05,
"loss": 4.732,
"step": 2600
},
{
"epoch": 11.07,
"learning_rate": 7.777777777777777e-05,
"loss": 4.7331,
"step": 2650
},
{
"epoch": 12.01,
"learning_rate": 6.666666666666666e-05,
"loss": 4.7334,
"step": 2700
},
{
"epoch": 12.03,
"learning_rate": 5.5555555555555545e-05,
"loss": 4.7252,
"step": 2750
},
{
"epoch": 12.05,
"learning_rate": 4.444444444444444e-05,
"loss": 4.7185,
"step": 2800
},
{
"epoch": 12.06,
"learning_rate": 3.333333333333333e-05,
"loss": 4.7191,
"step": 2850
},
{
"epoch": 13.0,
"learning_rate": 2.222222222222222e-05,
"loss": 4.7238,
"step": 2900
},
{
"epoch": 13.02,
"learning_rate": 1.111111111111111e-05,
"loss": 4.714,
"step": 2950
},
{
"epoch": 13.04,
"learning_rate": 0.0,
"loss": 4.7126,
"step": 3000
},
{
"epoch": 13.04,
"eval_loss": 5.2880859375,
"eval_runtime": 94.4678,
"eval_samples_per_second": 132.468,
"eval_steps_per_second": 8.289,
"step": 3000
},
{
"epoch": 13.04,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.2880859375,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 197.96414679396582,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 94.4678,
"eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 132.468,
"step": 3000
}
],
"max_steps": 3000,
"num_train_epochs": 9223372036854775807,
"total_flos": 1.3381964443680768e+17,
"trial_name": null,
"trial_params": null
}