glucose-bert-large / trainer_state.json
phosseini's picture
Upload trainer_state.json
af687ef
{
"best_metric": 0.645846426486969,
"best_model_checkpoint": "models/checkpoints/checkpoint-9000",
"epoch": 16.2748643761302,
"global_step": 9000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18,
"learning_rate": 1.9819168173598556e-05,
"loss": 1.9232,
"step": 100
},
{
"epoch": 0.36,
"learning_rate": 1.9638336347197107e-05,
"loss": 1.3768,
"step": 200
},
{
"epoch": 0.54,
"learning_rate": 1.9457504520795662e-05,
"loss": 1.269,
"step": 300
},
{
"epoch": 0.72,
"learning_rate": 1.9276672694394213e-05,
"loss": 1.2114,
"step": 400
},
{
"epoch": 0.9,
"learning_rate": 1.9095840867992768e-05,
"loss": 1.1765,
"step": 500
},
{
"epoch": 0.9,
"eval_loss": 1.0532047748565674,
"eval_runtime": 12.8374,
"eval_samples_per_second": 612.197,
"eval_steps_per_second": 4.83,
"step": 500
},
{
"epoch": 1.08,
"learning_rate": 1.8915009041591322e-05,
"loss": 1.1195,
"step": 600
},
{
"epoch": 1.27,
"learning_rate": 1.8734177215189874e-05,
"loss": 1.1068,
"step": 700
},
{
"epoch": 1.45,
"learning_rate": 1.8553345388788428e-05,
"loss": 1.0338,
"step": 800
},
{
"epoch": 1.63,
"learning_rate": 1.8372513562386983e-05,
"loss": 1.0417,
"step": 900
},
{
"epoch": 1.81,
"learning_rate": 1.8191681735985537e-05,
"loss": 1.0382,
"step": 1000
},
{
"epoch": 1.81,
"eval_loss": 0.964276909828186,
"eval_runtime": 12.8331,
"eval_samples_per_second": 612.399,
"eval_steps_per_second": 4.831,
"step": 1000
},
{
"epoch": 1.99,
"learning_rate": 1.801084990958409e-05,
"loss": 1.0084,
"step": 1100
},
{
"epoch": 2.17,
"learning_rate": 1.783001808318264e-05,
"loss": 0.9976,
"step": 1200
},
{
"epoch": 2.35,
"learning_rate": 1.7649186256781194e-05,
"loss": 0.9962,
"step": 1300
},
{
"epoch": 2.53,
"learning_rate": 1.746835443037975e-05,
"loss": 0.953,
"step": 1400
},
{
"epoch": 2.71,
"learning_rate": 1.72875226039783e-05,
"loss": 0.9687,
"step": 1500
},
{
"epoch": 2.71,
"eval_loss": 0.9130759239196777,
"eval_runtime": 12.8023,
"eval_samples_per_second": 613.873,
"eval_steps_per_second": 4.843,
"step": 1500
},
{
"epoch": 2.89,
"learning_rate": 1.7106690777576855e-05,
"loss": 0.9551,
"step": 1600
},
{
"epoch": 3.07,
"learning_rate": 1.692585895117541e-05,
"loss": 0.9156,
"step": 1700
},
{
"epoch": 3.25,
"learning_rate": 1.6745027124773964e-05,
"loss": 0.9072,
"step": 1800
},
{
"epoch": 3.44,
"learning_rate": 1.6564195298372515e-05,
"loss": 0.9038,
"step": 1900
},
{
"epoch": 3.62,
"learning_rate": 1.6383363471971066e-05,
"loss": 0.9157,
"step": 2000
},
{
"epoch": 3.62,
"eval_loss": 0.8786566853523254,
"eval_runtime": 12.8067,
"eval_samples_per_second": 613.662,
"eval_steps_per_second": 4.841,
"step": 2000
},
{
"epoch": 3.8,
"learning_rate": 1.620253164556962e-05,
"loss": 0.8994,
"step": 2100
},
{
"epoch": 3.98,
"learning_rate": 1.6021699819168176e-05,
"loss": 0.8963,
"step": 2200
},
{
"epoch": 4.16,
"learning_rate": 1.584086799276673e-05,
"loss": 0.8878,
"step": 2300
},
{
"epoch": 4.34,
"learning_rate": 1.566003616636528e-05,
"loss": 0.8739,
"step": 2400
},
{
"epoch": 4.52,
"learning_rate": 1.5479204339963836e-05,
"loss": 0.8671,
"step": 2500
},
{
"epoch": 4.52,
"eval_loss": 0.8628956079483032,
"eval_runtime": 12.8156,
"eval_samples_per_second": 613.239,
"eval_steps_per_second": 4.838,
"step": 2500
},
{
"epoch": 4.7,
"learning_rate": 1.5298372513562387e-05,
"loss": 0.8676,
"step": 2600
},
{
"epoch": 4.88,
"learning_rate": 1.5117540687160942e-05,
"loss": 0.8329,
"step": 2700
},
{
"epoch": 5.06,
"learning_rate": 1.4936708860759495e-05,
"loss": 0.8438,
"step": 2800
},
{
"epoch": 5.24,
"learning_rate": 1.4755877034358048e-05,
"loss": 0.8294,
"step": 2900
},
{
"epoch": 5.42,
"learning_rate": 1.4575045207956602e-05,
"loss": 0.8259,
"step": 3000
},
{
"epoch": 5.42,
"eval_loss": 0.825766921043396,
"eval_runtime": 12.7989,
"eval_samples_per_second": 614.036,
"eval_steps_per_second": 4.844,
"step": 3000
},
{
"epoch": 5.61,
"learning_rate": 1.4394213381555155e-05,
"loss": 0.8065,
"step": 3100
},
{
"epoch": 5.79,
"learning_rate": 1.421338155515371e-05,
"loss": 0.8193,
"step": 3200
},
{
"epoch": 5.97,
"learning_rate": 1.403254972875226e-05,
"loss": 0.8152,
"step": 3300
},
{
"epoch": 6.15,
"learning_rate": 1.3851717902350814e-05,
"loss": 0.784,
"step": 3400
},
{
"epoch": 6.33,
"learning_rate": 1.3670886075949368e-05,
"loss": 0.7941,
"step": 3500
},
{
"epoch": 6.33,
"eval_loss": 0.8114328384399414,
"eval_runtime": 12.8036,
"eval_samples_per_second": 613.81,
"eval_steps_per_second": 4.842,
"step": 3500
},
{
"epoch": 6.51,
"learning_rate": 1.3490054249547921e-05,
"loss": 0.7952,
"step": 3600
},
{
"epoch": 6.69,
"learning_rate": 1.3309222423146476e-05,
"loss": 0.8168,
"step": 3700
},
{
"epoch": 6.87,
"learning_rate": 1.3128390596745029e-05,
"loss": 0.7917,
"step": 3800
},
{
"epoch": 7.05,
"learning_rate": 1.2947558770343582e-05,
"loss": 0.7582,
"step": 3900
},
{
"epoch": 7.23,
"learning_rate": 1.2766726943942136e-05,
"loss": 0.7605,
"step": 4000
},
{
"epoch": 7.23,
"eval_loss": 0.7806207537651062,
"eval_runtime": 12.8016,
"eval_samples_per_second": 613.906,
"eval_steps_per_second": 4.843,
"step": 4000
},
{
"epoch": 7.41,
"learning_rate": 1.2585895117540687e-05,
"loss": 0.7651,
"step": 4100
},
{
"epoch": 7.59,
"learning_rate": 1.240506329113924e-05,
"loss": 0.7716,
"step": 4200
},
{
"epoch": 7.78,
"learning_rate": 1.2224231464737795e-05,
"loss": 0.7704,
"step": 4300
},
{
"epoch": 7.96,
"learning_rate": 1.2043399638336348e-05,
"loss": 0.7483,
"step": 4400
},
{
"epoch": 8.14,
"learning_rate": 1.1862567811934902e-05,
"loss": 0.7323,
"step": 4500
},
{
"epoch": 8.14,
"eval_loss": 0.7683702707290649,
"eval_runtime": 12.8031,
"eval_samples_per_second": 613.836,
"eval_steps_per_second": 4.843,
"step": 4500
},
{
"epoch": 8.32,
"learning_rate": 1.1681735985533455e-05,
"loss": 0.7432,
"step": 4600
},
{
"epoch": 8.5,
"learning_rate": 1.150090415913201e-05,
"loss": 0.7486,
"step": 4700
},
{
"epoch": 8.68,
"learning_rate": 1.1320072332730561e-05,
"loss": 0.7479,
"step": 4800
},
{
"epoch": 8.86,
"learning_rate": 1.1139240506329114e-05,
"loss": 0.7192,
"step": 4900
},
{
"epoch": 9.04,
"learning_rate": 1.0958408679927669e-05,
"loss": 0.7292,
"step": 5000
},
{
"epoch": 9.04,
"eval_loss": 0.7645160555839539,
"eval_runtime": 12.802,
"eval_samples_per_second": 613.888,
"eval_steps_per_second": 4.843,
"step": 5000
},
{
"epoch": 9.22,
"learning_rate": 1.0777576853526221e-05,
"loss": 0.7055,
"step": 5100
},
{
"epoch": 9.4,
"learning_rate": 1.0596745027124774e-05,
"loss": 0.7094,
"step": 5200
},
{
"epoch": 9.58,
"learning_rate": 1.0415913200723329e-05,
"loss": 0.7297,
"step": 5300
},
{
"epoch": 9.76,
"learning_rate": 1.0235081374321882e-05,
"loss": 0.7096,
"step": 5400
},
{
"epoch": 9.95,
"learning_rate": 1.0054249547920433e-05,
"loss": 0.7259,
"step": 5500
},
{
"epoch": 9.95,
"eval_loss": 0.7333822846412659,
"eval_runtime": 12.806,
"eval_samples_per_second": 613.699,
"eval_steps_per_second": 4.841,
"step": 5500
},
{
"epoch": 10.13,
"learning_rate": 9.87341772151899e-06,
"loss": 0.7138,
"step": 5600
},
{
"epoch": 10.31,
"learning_rate": 9.69258589511754e-06,
"loss": 0.7118,
"step": 5700
},
{
"epoch": 10.49,
"learning_rate": 9.511754068716095e-06,
"loss": 0.7091,
"step": 5800
},
{
"epoch": 10.67,
"learning_rate": 9.330922242314648e-06,
"loss": 0.6839,
"step": 5900
},
{
"epoch": 10.85,
"learning_rate": 9.150090415913203e-06,
"loss": 0.7045,
"step": 6000
},
{
"epoch": 10.85,
"eval_loss": 0.7454974055290222,
"eval_runtime": 12.7967,
"eval_samples_per_second": 614.144,
"eval_steps_per_second": 4.845,
"step": 6000
},
{
"epoch": 11.03,
"learning_rate": 8.969258589511754e-06,
"loss": 0.7059,
"step": 6100
},
{
"epoch": 11.21,
"learning_rate": 8.788426763110308e-06,
"loss": 0.6759,
"step": 6200
},
{
"epoch": 11.39,
"learning_rate": 8.607594936708861e-06,
"loss": 0.6806,
"step": 6300
},
{
"epoch": 11.57,
"learning_rate": 8.426763110307414e-06,
"loss": 0.6734,
"step": 6400
},
{
"epoch": 11.75,
"learning_rate": 8.245931283905967e-06,
"loss": 0.677,
"step": 6500
},
{
"epoch": 11.75,
"eval_loss": 0.7277078032493591,
"eval_runtime": 12.8036,
"eval_samples_per_second": 613.809,
"eval_steps_per_second": 4.842,
"step": 6500
},
{
"epoch": 11.93,
"learning_rate": 8.065099457504522e-06,
"loss": 0.6811,
"step": 6600
},
{
"epoch": 12.12,
"learning_rate": 7.884267631103075e-06,
"loss": 0.669,
"step": 6700
},
{
"epoch": 12.3,
"learning_rate": 7.703435804701628e-06,
"loss": 0.6586,
"step": 6800
},
{
"epoch": 12.48,
"learning_rate": 7.522603978300181e-06,
"loss": 0.6428,
"step": 6900
},
{
"epoch": 12.66,
"learning_rate": 7.341772151898735e-06,
"loss": 0.6618,
"step": 7000
},
{
"epoch": 12.66,
"eval_loss": 0.7127390503883362,
"eval_runtime": 12.8054,
"eval_samples_per_second": 613.727,
"eval_steps_per_second": 4.842,
"step": 7000
},
{
"epoch": 12.84,
"learning_rate": 7.160940325497288e-06,
"loss": 0.6703,
"step": 7100
},
{
"epoch": 13.02,
"learning_rate": 6.980108499095841e-06,
"loss": 0.6577,
"step": 7200
},
{
"epoch": 13.2,
"learning_rate": 6.799276672694395e-06,
"loss": 0.6431,
"step": 7300
},
{
"epoch": 13.38,
"learning_rate": 6.618444846292948e-06,
"loss": 0.6525,
"step": 7400
},
{
"epoch": 13.56,
"learning_rate": 6.437613019891501e-06,
"loss": 0.6817,
"step": 7500
},
{
"epoch": 13.56,
"eval_loss": 0.7023378014564514,
"eval_runtime": 12.8161,
"eval_samples_per_second": 613.215,
"eval_steps_per_second": 4.838,
"step": 7500
},
{
"epoch": 13.74,
"learning_rate": 6.256781193490055e-06,
"loss": 0.6523,
"step": 7600
},
{
"epoch": 13.92,
"learning_rate": 6.075949367088608e-06,
"loss": 0.6679,
"step": 7700
},
{
"epoch": 14.1,
"learning_rate": 5.895117540687162e-06,
"loss": 0.6368,
"step": 7800
},
{
"epoch": 14.29,
"learning_rate": 5.7142857142857145e-06,
"loss": 0.641,
"step": 7900
},
{
"epoch": 14.47,
"learning_rate": 5.533453887884268e-06,
"loss": 0.6337,
"step": 8000
},
{
"epoch": 14.47,
"eval_loss": 0.7140629887580872,
"eval_runtime": 12.8021,
"eval_samples_per_second": 613.882,
"eval_steps_per_second": 4.843,
"step": 8000
},
{
"epoch": 14.65,
"learning_rate": 5.352622061482822e-06,
"loss": 0.6359,
"step": 8100
},
{
"epoch": 14.83,
"learning_rate": 5.171790235081374e-06,
"loss": 0.6298,
"step": 8200
},
{
"epoch": 15.01,
"learning_rate": 4.990958408679928e-06,
"loss": 0.6444,
"step": 8300
},
{
"epoch": 15.19,
"learning_rate": 4.8101265822784815e-06,
"loss": 0.639,
"step": 8400
},
{
"epoch": 15.37,
"learning_rate": 4.6292947558770344e-06,
"loss": 0.6182,
"step": 8500
},
{
"epoch": 15.37,
"eval_loss": 0.7226015329360962,
"eval_runtime": 12.7692,
"eval_samples_per_second": 615.466,
"eval_steps_per_second": 4.855,
"step": 8500
},
{
"epoch": 15.55,
"learning_rate": 4.448462929475588e-06,
"loss": 0.6425,
"step": 8600
},
{
"epoch": 15.73,
"learning_rate": 4.267631103074141e-06,
"loss": 0.6255,
"step": 8700
},
{
"epoch": 15.91,
"learning_rate": 4.086799276672695e-06,
"loss": 0.6223,
"step": 8800
},
{
"epoch": 16.09,
"learning_rate": 3.905967450271248e-06,
"loss": 0.6303,
"step": 8900
},
{
"epoch": 16.27,
"learning_rate": 3.7251356238698015e-06,
"loss": 0.6367,
"step": 9000
},
{
"epoch": 16.27,
"eval_loss": 0.645846426486969,
"eval_runtime": 12.785,
"eval_samples_per_second": 614.705,
"eval_steps_per_second": 4.849,
"step": 9000
}
],
"max_steps": 11060,
"num_train_epochs": 20,
"total_flos": 5.947714605600499e+16,
"trial_name": null,
"trial_params": null
}