rizkyjun's picture
Training in progress, step 3300, checkpoint
eb34808
raw
history blame
10.6 kB
{
"best_metric": 2.0311737060546875,
"best_model_checkpoint": "./outputs/checkpoint-3300",
"epoch": 2.4043715846994536,
"eval_steps": 100,
"global_step": 3300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 2.7205,
"step": 100
},
{
"epoch": 0.07,
"eval_loss": 2.6170873641967773,
"eval_runtime": 228.505,
"eval_samples_per_second": 27.457,
"eval_steps_per_second": 3.435,
"step": 100
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 2.5807,
"step": 200
},
{
"epoch": 0.15,
"eval_loss": 2.5663836002349854,
"eval_runtime": 210.5353,
"eval_samples_per_second": 29.8,
"eval_steps_per_second": 3.729,
"step": 200
},
{
"epoch": 0.22,
"learning_rate": 0.0002,
"loss": 2.5398,
"step": 300
},
{
"epoch": 0.22,
"eval_loss": 2.531459331512451,
"eval_runtime": 245.5646,
"eval_samples_per_second": 25.549,
"eval_steps_per_second": 3.197,
"step": 300
},
{
"epoch": 0.29,
"learning_rate": 0.0002,
"loss": 2.5133,
"step": 400
},
{
"epoch": 0.29,
"eval_loss": 2.497565746307373,
"eval_runtime": 244.6469,
"eval_samples_per_second": 25.645,
"eval_steps_per_second": 3.209,
"step": 400
},
{
"epoch": 0.36,
"learning_rate": 0.0002,
"loss": 2.4697,
"step": 500
},
{
"epoch": 0.36,
"eval_loss": 2.4726672172546387,
"eval_runtime": 244.9375,
"eval_samples_per_second": 25.615,
"eval_steps_per_second": 3.205,
"step": 500
},
{
"epoch": 0.44,
"learning_rate": 0.0002,
"loss": 2.4435,
"step": 600
},
{
"epoch": 0.44,
"eval_loss": 2.4451191425323486,
"eval_runtime": 216.439,
"eval_samples_per_second": 28.987,
"eval_steps_per_second": 3.627,
"step": 600
},
{
"epoch": 0.51,
"learning_rate": 0.0002,
"loss": 2.426,
"step": 700
},
{
"epoch": 0.51,
"eval_loss": 2.4199516773223877,
"eval_runtime": 206.0859,
"eval_samples_per_second": 30.444,
"eval_steps_per_second": 3.809,
"step": 700
},
{
"epoch": 0.58,
"learning_rate": 0.0002,
"loss": 2.4041,
"step": 800
},
{
"epoch": 0.58,
"eval_loss": 2.399696111679077,
"eval_runtime": 205.7858,
"eval_samples_per_second": 30.488,
"eval_steps_per_second": 3.815,
"step": 800
},
{
"epoch": 0.66,
"learning_rate": 0.0002,
"loss": 2.369,
"step": 900
},
{
"epoch": 0.66,
"eval_loss": 2.380272150039673,
"eval_runtime": 206.0924,
"eval_samples_per_second": 30.443,
"eval_steps_per_second": 3.809,
"step": 900
},
{
"epoch": 0.73,
"learning_rate": 0.0002,
"loss": 2.3663,
"step": 1000
},
{
"epoch": 0.73,
"eval_loss": 2.361511707305908,
"eval_runtime": 206.0953,
"eval_samples_per_second": 30.442,
"eval_steps_per_second": 3.809,
"step": 1000
},
{
"epoch": 0.8,
"learning_rate": 0.0002,
"loss": 2.3596,
"step": 1100
},
{
"epoch": 0.8,
"eval_loss": 2.337871551513672,
"eval_runtime": 206.2542,
"eval_samples_per_second": 30.419,
"eval_steps_per_second": 3.806,
"step": 1100
},
{
"epoch": 0.87,
"learning_rate": 0.0002,
"loss": 2.3156,
"step": 1200
},
{
"epoch": 0.87,
"eval_loss": 2.318875789642334,
"eval_runtime": 205.5733,
"eval_samples_per_second": 30.52,
"eval_steps_per_second": 3.819,
"step": 1200
},
{
"epoch": 0.95,
"learning_rate": 0.0002,
"loss": 2.3267,
"step": 1300
},
{
"epoch": 0.95,
"eval_loss": 2.3044281005859375,
"eval_runtime": 206.2612,
"eval_samples_per_second": 30.418,
"eval_steps_per_second": 3.806,
"step": 1300
},
{
"epoch": 1.02,
"learning_rate": 0.0002,
"loss": 2.2788,
"step": 1400
},
{
"epoch": 1.02,
"eval_loss": 2.2812631130218506,
"eval_runtime": 205.7511,
"eval_samples_per_second": 30.493,
"eval_steps_per_second": 3.815,
"step": 1400
},
{
"epoch": 1.09,
"learning_rate": 0.0002,
"loss": 2.2397,
"step": 1500
},
{
"epoch": 1.09,
"eval_loss": 2.2644264698028564,
"eval_runtime": 206.0922,
"eval_samples_per_second": 30.443,
"eval_steps_per_second": 3.809,
"step": 1500
},
{
"epoch": 1.17,
"learning_rate": 0.0002,
"loss": 2.232,
"step": 1600
},
{
"epoch": 1.17,
"eval_loss": 2.2463176250457764,
"eval_runtime": 205.9251,
"eval_samples_per_second": 30.467,
"eval_steps_per_second": 3.812,
"step": 1600
},
{
"epoch": 1.24,
"learning_rate": 0.0002,
"loss": 2.231,
"step": 1700
},
{
"epoch": 1.24,
"eval_loss": 2.2307546138763428,
"eval_runtime": 206.164,
"eval_samples_per_second": 30.432,
"eval_steps_per_second": 3.808,
"step": 1700
},
{
"epoch": 1.31,
"learning_rate": 0.0002,
"loss": 2.1938,
"step": 1800
},
{
"epoch": 1.31,
"eval_loss": 2.214383125305176,
"eval_runtime": 206.1484,
"eval_samples_per_second": 30.434,
"eval_steps_per_second": 3.808,
"step": 1800
},
{
"epoch": 1.38,
"learning_rate": 0.0002,
"loss": 2.1772,
"step": 1900
},
{
"epoch": 1.38,
"eval_loss": 2.2003238201141357,
"eval_runtime": 207.0672,
"eval_samples_per_second": 30.299,
"eval_steps_per_second": 3.791,
"step": 1900
},
{
"epoch": 1.46,
"learning_rate": 0.0002,
"loss": 2.1719,
"step": 2000
},
{
"epoch": 1.46,
"eval_loss": 2.1876213550567627,
"eval_runtime": 206.1329,
"eval_samples_per_second": 30.437,
"eval_steps_per_second": 3.808,
"step": 2000
},
{
"epoch": 1.53,
"learning_rate": 0.0002,
"loss": 2.1558,
"step": 2100
},
{
"epoch": 1.53,
"eval_loss": 2.173450469970703,
"eval_runtime": 208.4992,
"eval_samples_per_second": 30.091,
"eval_steps_per_second": 3.765,
"step": 2100
},
{
"epoch": 1.6,
"learning_rate": 0.0002,
"loss": 2.1384,
"step": 2200
},
{
"epoch": 1.6,
"eval_loss": 2.157057762145996,
"eval_runtime": 206.6067,
"eval_samples_per_second": 30.367,
"eval_steps_per_second": 3.799,
"step": 2200
},
{
"epoch": 1.68,
"learning_rate": 0.0002,
"loss": 2.1292,
"step": 2300
},
{
"epoch": 1.68,
"eval_loss": 2.145142078399658,
"eval_runtime": 311.6945,
"eval_samples_per_second": 20.129,
"eval_steps_per_second": 2.518,
"step": 2300
},
{
"epoch": 1.75,
"learning_rate": 0.0002,
"loss": 2.135,
"step": 2400
},
{
"epoch": 1.75,
"eval_loss": 2.132389545440674,
"eval_runtime": 446.4033,
"eval_samples_per_second": 14.055,
"eval_steps_per_second": 1.758,
"step": 2400
},
{
"epoch": 1.82,
"learning_rate": 0.0002,
"loss": 2.1029,
"step": 2500
},
{
"epoch": 1.82,
"eval_loss": 2.1192965507507324,
"eval_runtime": 563.307,
"eval_samples_per_second": 11.138,
"eval_steps_per_second": 1.394,
"step": 2500
},
{
"epoch": 1.89,
"learning_rate": 0.0002,
"loss": 2.1027,
"step": 2600
},
{
"epoch": 1.89,
"eval_loss": 2.107308864593506,
"eval_runtime": 353.5605,
"eval_samples_per_second": 17.745,
"eval_steps_per_second": 2.22,
"step": 2600
},
{
"epoch": 1.97,
"learning_rate": 0.0002,
"loss": 2.0882,
"step": 2700
},
{
"epoch": 1.97,
"eval_loss": 2.094940423965454,
"eval_runtime": 353.902,
"eval_samples_per_second": 17.728,
"eval_steps_per_second": 2.218,
"step": 2700
},
{
"epoch": 2.04,
"learning_rate": 0.0002,
"loss": 2.0454,
"step": 2800
},
{
"epoch": 2.04,
"eval_loss": 2.0859835147857666,
"eval_runtime": 352.6105,
"eval_samples_per_second": 17.793,
"eval_steps_per_second": 2.226,
"step": 2800
},
{
"epoch": 2.11,
"learning_rate": 0.0002,
"loss": 2.0166,
"step": 2900
},
{
"epoch": 2.11,
"eval_loss": 2.0744717121124268,
"eval_runtime": 879.3837,
"eval_samples_per_second": 7.135,
"eval_steps_per_second": 0.893,
"step": 2900
},
{
"epoch": 2.19,
"learning_rate": 0.0002,
"loss": 2.0391,
"step": 3000
},
{
"epoch": 2.19,
"eval_loss": 2.0644783973693848,
"eval_runtime": 353.8886,
"eval_samples_per_second": 17.729,
"eval_steps_per_second": 2.218,
"step": 3000
},
{
"epoch": 2.26,
"learning_rate": 0.0002,
"loss": 2.0069,
"step": 3100
},
{
"epoch": 2.26,
"eval_loss": 2.053786277770996,
"eval_runtime": 353.3743,
"eval_samples_per_second": 17.755,
"eval_steps_per_second": 2.221,
"step": 3100
},
{
"epoch": 2.33,
"learning_rate": 0.0002,
"loss": 2.0226,
"step": 3200
},
{
"epoch": 2.33,
"eval_loss": 2.043891668319702,
"eval_runtime": 414.5134,
"eval_samples_per_second": 15.136,
"eval_steps_per_second": 1.894,
"step": 3200
},
{
"epoch": 2.4,
"learning_rate": 0.0002,
"loss": 1.989,
"step": 3300
},
{
"epoch": 2.4,
"eval_loss": 2.0311737060546875,
"eval_runtime": 574.7464,
"eval_samples_per_second": 10.916,
"eval_steps_per_second": 1.366,
"step": 3300
}
],
"logging_steps": 100,
"max_steps": 4116,
"num_train_epochs": 3,
"save_steps": 100,
"total_flos": 9.691971842875392e+16,
"trial_name": null,
"trial_params": null
}