DrishtiSharma's picture
YAY!!
04ad936
{
"best_metric": 0.22263780236244202,
"best_model_checkpoint": "DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v2/checkpoint-1500",
"epoch": 5.0,
"global_step": 1665,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 0.00019903903903903904,
"loss": 2.4985,
"step": 10
},
{
"epoch": 0.06,
"learning_rate": 0.00019783783783783784,
"loss": 1.4444,
"step": 20
},
{
"epoch": 0.09,
"learning_rate": 0.00019663663663663664,
"loss": 1.0698,
"step": 30
},
{
"epoch": 0.12,
"learning_rate": 0.00019543543543543545,
"loss": 1.0817,
"step": 40
},
{
"epoch": 0.15,
"learning_rate": 0.00019423423423423425,
"loss": 0.8105,
"step": 50
},
{
"epoch": 0.18,
"learning_rate": 0.00019303303303303305,
"loss": 0.8324,
"step": 60
},
{
"epoch": 0.21,
"learning_rate": 0.00019183183183183185,
"loss": 0.8106,
"step": 70
},
{
"epoch": 0.24,
"learning_rate": 0.00019063063063063065,
"loss": 0.6581,
"step": 80
},
{
"epoch": 0.27,
"learning_rate": 0.00018942942942942943,
"loss": 0.6992,
"step": 90
},
{
"epoch": 0.3,
"learning_rate": 0.00018822822822822823,
"loss": 0.9351,
"step": 100
},
{
"epoch": 0.3,
"eval_accuracy": 0.8363443145589798,
"eval_loss": 0.6016978025436401,
"eval_runtime": 39.9065,
"eval_samples_per_second": 23.58,
"eval_steps_per_second": 2.957,
"step": 100
},
{
"epoch": 0.33,
"learning_rate": 0.00018702702702702703,
"loss": 0.9577,
"step": 110
},
{
"epoch": 0.36,
"learning_rate": 0.00018582582582582583,
"loss": 0.789,
"step": 120
},
{
"epoch": 0.39,
"learning_rate": 0.00018462462462462463,
"loss": 1.0007,
"step": 130
},
{
"epoch": 0.42,
"learning_rate": 0.00018342342342342343,
"loss": 0.6186,
"step": 140
},
{
"epoch": 0.45,
"learning_rate": 0.00018222222222222224,
"loss": 0.5886,
"step": 150
},
{
"epoch": 0.48,
"learning_rate": 0.00018114114114114115,
"loss": 0.6685,
"step": 160
},
{
"epoch": 0.51,
"learning_rate": 0.00017993993993993993,
"loss": 0.886,
"step": 170
},
{
"epoch": 0.54,
"learning_rate": 0.00017873873873873876,
"loss": 0.7398,
"step": 180
},
{
"epoch": 0.57,
"learning_rate": 0.00017753753753753756,
"loss": 0.6541,
"step": 190
},
{
"epoch": 0.6,
"learning_rate": 0.00017633633633633636,
"loss": 0.5667,
"step": 200
},
{
"epoch": 0.6,
"eval_accuracy": 0.8767268862911796,
"eval_loss": 0.43840092420578003,
"eval_runtime": 39.8194,
"eval_samples_per_second": 23.632,
"eval_steps_per_second": 2.963,
"step": 200
},
{
"epoch": 0.63,
"learning_rate": 0.00017513513513513516,
"loss": 0.5596,
"step": 210
},
{
"epoch": 0.66,
"learning_rate": 0.00017393393393393394,
"loss": 0.5697,
"step": 220
},
{
"epoch": 0.69,
"learning_rate": 0.00017273273273273274,
"loss": 0.6168,
"step": 230
},
{
"epoch": 0.72,
"learning_rate": 0.00017153153153153154,
"loss": 0.6351,
"step": 240
},
{
"epoch": 0.75,
"learning_rate": 0.00017033033033033034,
"loss": 0.578,
"step": 250
},
{
"epoch": 0.78,
"learning_rate": 0.00016912912912912911,
"loss": 0.8882,
"step": 260
},
{
"epoch": 0.81,
"learning_rate": 0.00016792792792792794,
"loss": 0.6284,
"step": 270
},
{
"epoch": 0.84,
"learning_rate": 0.00016672672672672675,
"loss": 0.8874,
"step": 280
},
{
"epoch": 0.87,
"learning_rate": 0.00016552552552552555,
"loss": 0.7083,
"step": 290
},
{
"epoch": 0.9,
"learning_rate": 0.00016432432432432435,
"loss": 0.5548,
"step": 300
},
{
"epoch": 0.9,
"eval_accuracy": 0.8767268862911796,
"eval_loss": 0.42152631282806396,
"eval_runtime": 40.3274,
"eval_samples_per_second": 23.334,
"eval_steps_per_second": 2.926,
"step": 300
},
{
"epoch": 0.93,
"learning_rate": 0.00016312312312312312,
"loss": 0.6819,
"step": 310
},
{
"epoch": 0.96,
"learning_rate": 0.00016192192192192192,
"loss": 0.4283,
"step": 320
},
{
"epoch": 0.99,
"learning_rate": 0.00016072072072072073,
"loss": 0.4916,
"step": 330
},
{
"epoch": 1.02,
"learning_rate": 0.00015951951951951953,
"loss": 0.5186,
"step": 340
},
{
"epoch": 1.05,
"learning_rate": 0.0001583183183183183,
"loss": 0.6319,
"step": 350
},
{
"epoch": 1.08,
"learning_rate": 0.00015711711711711713,
"loss": 0.3755,
"step": 360
},
{
"epoch": 1.11,
"learning_rate": 0.00015591591591591593,
"loss": 0.3293,
"step": 370
},
{
"epoch": 1.14,
"learning_rate": 0.00015471471471471474,
"loss": 0.4974,
"step": 380
},
{
"epoch": 1.17,
"learning_rate": 0.00015351351351351354,
"loss": 0.6046,
"step": 390
},
{
"epoch": 1.2,
"learning_rate": 0.0001523123123123123,
"loss": 0.5516,
"step": 400
},
{
"epoch": 1.2,
"eval_accuracy": 0.873538788522848,
"eval_loss": 0.42902085185050964,
"eval_runtime": 40.2528,
"eval_samples_per_second": 23.377,
"eval_steps_per_second": 2.931,
"step": 400
},
{
"epoch": 1.23,
"learning_rate": 0.0001511111111111111,
"loss": 0.5308,
"step": 410
},
{
"epoch": 1.26,
"learning_rate": 0.00014990990990990991,
"loss": 0.4627,
"step": 420
},
{
"epoch": 1.29,
"learning_rate": 0.00014870870870870872,
"loss": 0.4123,
"step": 430
},
{
"epoch": 1.32,
"learning_rate": 0.00014750750750750752,
"loss": 0.5095,
"step": 440
},
{
"epoch": 1.35,
"learning_rate": 0.00014630630630630632,
"loss": 0.5262,
"step": 450
},
{
"epoch": 1.38,
"learning_rate": 0.00014510510510510512,
"loss": 0.6747,
"step": 460
},
{
"epoch": 1.41,
"learning_rate": 0.00014390390390390392,
"loss": 0.3073,
"step": 470
},
{
"epoch": 1.44,
"learning_rate": 0.00014270270270270272,
"loss": 0.5508,
"step": 480
},
{
"epoch": 1.47,
"learning_rate": 0.0001415015015015015,
"loss": 0.5183,
"step": 490
},
{
"epoch": 1.5,
"learning_rate": 0.0001403003003003003,
"loss": 0.3782,
"step": 500
},
{
"epoch": 1.5,
"eval_accuracy": 0.89798087141339,
"eval_loss": 0.35022875666618347,
"eval_runtime": 39.8292,
"eval_samples_per_second": 23.626,
"eval_steps_per_second": 2.963,
"step": 500
},
{
"epoch": 1.53,
"learning_rate": 0.0001390990990990991,
"loss": 0.4911,
"step": 510
},
{
"epoch": 1.56,
"learning_rate": 0.0001378978978978979,
"loss": 0.544,
"step": 520
},
{
"epoch": 1.59,
"learning_rate": 0.0001366966966966967,
"loss": 0.5958,
"step": 530
},
{
"epoch": 1.62,
"learning_rate": 0.0001354954954954955,
"loss": 0.4798,
"step": 540
},
{
"epoch": 1.65,
"learning_rate": 0.0001342942942942943,
"loss": 0.3317,
"step": 550
},
{
"epoch": 1.68,
"learning_rate": 0.0001330930930930931,
"loss": 0.3693,
"step": 560
},
{
"epoch": 1.71,
"learning_rate": 0.0001318918918918919,
"loss": 0.3432,
"step": 570
},
{
"epoch": 1.74,
"learning_rate": 0.0001306906906906907,
"loss": 0.4374,
"step": 580
},
{
"epoch": 1.77,
"learning_rate": 0.0001294894894894895,
"loss": 0.5319,
"step": 590
},
{
"epoch": 1.8,
"learning_rate": 0.0001282882882882883,
"loss": 0.3115,
"step": 600
},
{
"epoch": 1.8,
"eval_accuracy": 0.8937300743889479,
"eval_loss": 0.3780476152896881,
"eval_runtime": 39.7563,
"eval_samples_per_second": 23.669,
"eval_steps_per_second": 2.968,
"step": 600
},
{
"epoch": 1.83,
"learning_rate": 0.0001270870870870871,
"loss": 0.3055,
"step": 610
},
{
"epoch": 1.86,
"learning_rate": 0.0001258858858858859,
"loss": 0.361,
"step": 620
},
{
"epoch": 1.89,
"learning_rate": 0.0001246846846846847,
"loss": 0.5006,
"step": 630
},
{
"epoch": 1.92,
"learning_rate": 0.0001234834834834835,
"loss": 0.4293,
"step": 640
},
{
"epoch": 1.95,
"learning_rate": 0.0001222822822822823,
"loss": 0.3787,
"step": 650
},
{
"epoch": 1.98,
"learning_rate": 0.00012108108108108109,
"loss": 0.4617,
"step": 660
},
{
"epoch": 2.01,
"learning_rate": 0.00011987987987987988,
"loss": 0.4291,
"step": 670
},
{
"epoch": 2.04,
"learning_rate": 0.00011867867867867868,
"loss": 0.4525,
"step": 680
},
{
"epoch": 2.07,
"learning_rate": 0.00011747747747747748,
"loss": 0.419,
"step": 690
},
{
"epoch": 2.1,
"learning_rate": 0.00011627627627627628,
"loss": 0.4229,
"step": 700
},
{
"epoch": 2.1,
"eval_accuracy": 0.8905419766206164,
"eval_loss": 0.35450688004493713,
"eval_runtime": 39.4995,
"eval_samples_per_second": 23.823,
"eval_steps_per_second": 2.987,
"step": 700
},
{
"epoch": 2.13,
"learning_rate": 0.0001150750750750751,
"loss": 0.117,
"step": 710
},
{
"epoch": 2.16,
"learning_rate": 0.00011387387387387387,
"loss": 0.3166,
"step": 720
},
{
"epoch": 2.19,
"learning_rate": 0.00011267267267267267,
"loss": 0.3709,
"step": 730
},
{
"epoch": 2.22,
"learning_rate": 0.00011147147147147147,
"loss": 0.2417,
"step": 740
},
{
"epoch": 2.25,
"learning_rate": 0.00011027027027027029,
"loss": 0.4182,
"step": 750
},
{
"epoch": 2.28,
"learning_rate": 0.00010906906906906909,
"loss": 0.3219,
"step": 760
},
{
"epoch": 2.31,
"learning_rate": 0.00010786786786786786,
"loss": 0.3879,
"step": 770
},
{
"epoch": 2.34,
"learning_rate": 0.00010666666666666667,
"loss": 0.3304,
"step": 780
},
{
"epoch": 2.37,
"learning_rate": 0.00010546546546546547,
"loss": 0.4358,
"step": 790
},
{
"epoch": 2.4,
"learning_rate": 0.00010426426426426428,
"loss": 0.3832,
"step": 800
},
{
"epoch": 2.4,
"eval_accuracy": 0.9086078639744952,
"eval_loss": 0.3445776104927063,
"eval_runtime": 40.5544,
"eval_samples_per_second": 23.203,
"eval_steps_per_second": 2.91,
"step": 800
},
{
"epoch": 2.43,
"learning_rate": 0.00010306306306306306,
"loss": 0.2202,
"step": 810
},
{
"epoch": 2.46,
"learning_rate": 0.00010186186186186186,
"loss": 0.2851,
"step": 820
},
{
"epoch": 2.49,
"learning_rate": 0.00010066066066066066,
"loss": 0.2624,
"step": 830
},
{
"epoch": 2.52,
"learning_rate": 9.945945945945948e-05,
"loss": 0.3048,
"step": 840
},
{
"epoch": 2.55,
"learning_rate": 9.825825825825826e-05,
"loss": 0.2088,
"step": 850
},
{
"epoch": 2.58,
"learning_rate": 9.705705705705707e-05,
"loss": 0.3517,
"step": 860
},
{
"epoch": 2.61,
"learning_rate": 9.585585585585585e-05,
"loss": 0.4147,
"step": 870
},
{
"epoch": 2.64,
"learning_rate": 9.465465465465466e-05,
"loss": 0.3886,
"step": 880
},
{
"epoch": 2.67,
"learning_rate": 9.345345345345346e-05,
"loss": 0.2345,
"step": 890
},
{
"epoch": 2.7,
"learning_rate": 9.225225225225226e-05,
"loss": 0.2745,
"step": 900
},
{
"epoch": 2.7,
"eval_accuracy": 0.9149840595111584,
"eval_loss": 0.32985183596611023,
"eval_runtime": 40.5661,
"eval_samples_per_second": 23.197,
"eval_steps_per_second": 2.909,
"step": 900
},
{
"epoch": 2.73,
"learning_rate": 9.105105105105105e-05,
"loss": 0.2712,
"step": 910
},
{
"epoch": 2.76,
"learning_rate": 8.984984984984985e-05,
"loss": 0.389,
"step": 920
},
{
"epoch": 2.79,
"learning_rate": 8.864864864864866e-05,
"loss": 0.4054,
"step": 930
},
{
"epoch": 2.82,
"learning_rate": 8.744744744744745e-05,
"loss": 0.3054,
"step": 940
},
{
"epoch": 2.85,
"learning_rate": 8.624624624624625e-05,
"loss": 0.2941,
"step": 950
},
{
"epoch": 2.88,
"learning_rate": 8.504504504504504e-05,
"loss": 0.2896,
"step": 960
},
{
"epoch": 2.91,
"learning_rate": 8.384384384384384e-05,
"loss": 0.2729,
"step": 970
},
{
"epoch": 2.94,
"learning_rate": 8.264264264264265e-05,
"loss": 0.5281,
"step": 980
},
{
"epoch": 2.97,
"learning_rate": 8.144144144144145e-05,
"loss": 0.2477,
"step": 990
},
{
"epoch": 3.0,
"learning_rate": 8.024024024024024e-05,
"loss": 0.2063,
"step": 1000
},
{
"epoch": 3.0,
"eval_accuracy": 0.9277364505844846,
"eval_loss": 0.2592255771160126,
"eval_runtime": 40.3202,
"eval_samples_per_second": 23.338,
"eval_steps_per_second": 2.927,
"step": 1000
},
{
"epoch": 3.03,
"learning_rate": 7.903903903903904e-05,
"loss": 0.1643,
"step": 1010
},
{
"epoch": 3.06,
"learning_rate": 7.783783783783785e-05,
"loss": 0.322,
"step": 1020
},
{
"epoch": 3.09,
"learning_rate": 7.663663663663664e-05,
"loss": 0.1657,
"step": 1030
},
{
"epoch": 3.12,
"learning_rate": 7.543543543543544e-05,
"loss": 0.2675,
"step": 1040
},
{
"epoch": 3.15,
"learning_rate": 7.423423423423423e-05,
"loss": 0.2194,
"step": 1050
},
{
"epoch": 3.18,
"learning_rate": 7.303303303303303e-05,
"loss": 0.1154,
"step": 1060
},
{
"epoch": 3.21,
"learning_rate": 7.183183183183183e-05,
"loss": 0.1816,
"step": 1070
},
{
"epoch": 3.24,
"learning_rate": 7.063063063063064e-05,
"loss": 0.1359,
"step": 1080
},
{
"epoch": 3.27,
"learning_rate": 6.942942942942944e-05,
"loss": 0.3088,
"step": 1090
},
{
"epoch": 3.3,
"learning_rate": 6.822822822822822e-05,
"loss": 0.2077,
"step": 1100
},
{
"epoch": 3.3,
"eval_accuracy": 0.9149840595111584,
"eval_loss": 0.37718382477760315,
"eval_runtime": 40.237,
"eval_samples_per_second": 23.386,
"eval_steps_per_second": 2.933,
"step": 1100
},
{
"epoch": 3.33,
"learning_rate": 6.702702702702704e-05,
"loss": 0.316,
"step": 1110
},
{
"epoch": 3.36,
"learning_rate": 6.582582582582583e-05,
"loss": 0.1016,
"step": 1120
},
{
"epoch": 3.39,
"learning_rate": 6.462462462462463e-05,
"loss": 0.1508,
"step": 1130
},
{
"epoch": 3.42,
"learning_rate": 6.342342342342342e-05,
"loss": 0.2685,
"step": 1140
},
{
"epoch": 3.45,
"learning_rate": 6.222222222222222e-05,
"loss": 0.2662,
"step": 1150
},
{
"epoch": 3.48,
"learning_rate": 6.102102102102102e-05,
"loss": 0.2772,
"step": 1160
},
{
"epoch": 3.51,
"learning_rate": 5.981981981981982e-05,
"loss": 0.1013,
"step": 1170
},
{
"epoch": 3.54,
"learning_rate": 5.8618618618618625e-05,
"loss": 0.1762,
"step": 1180
},
{
"epoch": 3.57,
"learning_rate": 5.741741741741742e-05,
"loss": 0.1514,
"step": 1190
},
{
"epoch": 3.6,
"learning_rate": 5.621621621621622e-05,
"loss": 0.2041,
"step": 1200
},
{
"epoch": 3.6,
"eval_accuracy": 0.9213602550478215,
"eval_loss": 0.2855222523212433,
"eval_runtime": 39.5438,
"eval_samples_per_second": 23.796,
"eval_steps_per_second": 2.984,
"step": 1200
},
{
"epoch": 3.63,
"learning_rate": 5.5015015015015016e-05,
"loss": 0.1939,
"step": 1210
},
{
"epoch": 3.66,
"learning_rate": 5.381381381381382e-05,
"loss": 0.0919,
"step": 1220
},
{
"epoch": 3.69,
"learning_rate": 5.261261261261261e-05,
"loss": 0.2731,
"step": 1230
},
{
"epoch": 3.72,
"learning_rate": 5.1411411411411414e-05,
"loss": 0.1865,
"step": 1240
},
{
"epoch": 3.75,
"learning_rate": 5.0210210210210216e-05,
"loss": 0.238,
"step": 1250
},
{
"epoch": 3.78,
"learning_rate": 4.900900900900901e-05,
"loss": 0.0804,
"step": 1260
},
{
"epoch": 3.81,
"learning_rate": 4.7807807807807806e-05,
"loss": 0.3592,
"step": 1270
},
{
"epoch": 3.84,
"learning_rate": 4.660660660660661e-05,
"loss": 0.323,
"step": 1280
},
{
"epoch": 3.87,
"learning_rate": 4.540540540540541e-05,
"loss": 0.1983,
"step": 1290
},
{
"epoch": 3.9,
"learning_rate": 4.420420420420421e-05,
"loss": 0.2541,
"step": 1300
},
{
"epoch": 3.9,
"eval_accuracy": 0.9330499468650372,
"eval_loss": 0.25022733211517334,
"eval_runtime": 39.5082,
"eval_samples_per_second": 23.818,
"eval_steps_per_second": 2.987,
"step": 1300
},
{
"epoch": 3.93,
"learning_rate": 4.3003003003003006e-05,
"loss": 0.3586,
"step": 1310
},
{
"epoch": 3.96,
"learning_rate": 4.180180180180181e-05,
"loss": 0.2121,
"step": 1320
},
{
"epoch": 3.99,
"learning_rate": 4.06006006006006e-05,
"loss": 0.1308,
"step": 1330
},
{
"epoch": 4.02,
"learning_rate": 3.93993993993994e-05,
"loss": 0.2163,
"step": 1340
},
{
"epoch": 4.05,
"learning_rate": 3.81981981981982e-05,
"loss": 0.0668,
"step": 1350
},
{
"epoch": 4.08,
"learning_rate": 3.6996996996996994e-05,
"loss": 0.1516,
"step": 1360
},
{
"epoch": 4.11,
"learning_rate": 3.57957957957958e-05,
"loss": 0.1323,
"step": 1370
},
{
"epoch": 4.14,
"learning_rate": 3.45945945945946e-05,
"loss": 0.237,
"step": 1380
},
{
"epoch": 4.17,
"learning_rate": 3.33933933933934e-05,
"loss": 0.1337,
"step": 1390
},
{
"epoch": 4.2,
"learning_rate": 3.2192192192192194e-05,
"loss": 0.1203,
"step": 1400
},
{
"epoch": 4.2,
"eval_accuracy": 0.9362380446333688,
"eval_loss": 0.25774362683296204,
"eval_runtime": 39.3333,
"eval_samples_per_second": 23.924,
"eval_steps_per_second": 3.0,
"step": 1400
},
{
"epoch": 4.23,
"learning_rate": 3.0990990990990995e-05,
"loss": 0.0531,
"step": 1410
},
{
"epoch": 4.26,
"learning_rate": 2.978978978978979e-05,
"loss": 0.1448,
"step": 1420
},
{
"epoch": 4.29,
"learning_rate": 2.858858858858859e-05,
"loss": 0.0946,
"step": 1430
},
{
"epoch": 4.32,
"learning_rate": 2.7387387387387387e-05,
"loss": 0.0927,
"step": 1440
},
{
"epoch": 4.35,
"learning_rate": 2.618618618618619e-05,
"loss": 0.1215,
"step": 1450
},
{
"epoch": 4.38,
"learning_rate": 2.4984984984984987e-05,
"loss": 0.1332,
"step": 1460
},
{
"epoch": 4.41,
"learning_rate": 2.3783783783783785e-05,
"loss": 0.1657,
"step": 1470
},
{
"epoch": 4.44,
"learning_rate": 2.2582582582582583e-05,
"loss": 0.2,
"step": 1480
},
{
"epoch": 4.47,
"learning_rate": 2.1381381381381382e-05,
"loss": 0.1323,
"step": 1490
},
{
"epoch": 4.5,
"learning_rate": 2.018018018018018e-05,
"loss": 0.1594,
"step": 1500
},
{
"epoch": 4.5,
"eval_accuracy": 0.9458023379383634,
"eval_loss": 0.22263780236244202,
"eval_runtime": 39.564,
"eval_samples_per_second": 23.784,
"eval_steps_per_second": 2.983,
"step": 1500
},
{
"epoch": 4.53,
"learning_rate": 1.8978978978978982e-05,
"loss": 0.1963,
"step": 1510
},
{
"epoch": 4.56,
"learning_rate": 1.777777777777778e-05,
"loss": 0.18,
"step": 1520
},
{
"epoch": 4.59,
"learning_rate": 1.6576576576576578e-05,
"loss": 0.1519,
"step": 1530
},
{
"epoch": 4.62,
"learning_rate": 1.5375375375375377e-05,
"loss": 0.1375,
"step": 1540
},
{
"epoch": 4.65,
"learning_rate": 1.4174174174174173e-05,
"loss": 0.1323,
"step": 1550
},
{
"epoch": 4.68,
"learning_rate": 1.2972972972972975e-05,
"loss": 0.128,
"step": 1560
},
{
"epoch": 4.71,
"learning_rate": 1.1771771771771773e-05,
"loss": 0.0505,
"step": 1570
},
{
"epoch": 4.74,
"learning_rate": 1.057057057057057e-05,
"loss": 0.0957,
"step": 1580
},
{
"epoch": 4.77,
"learning_rate": 9.36936936936937e-06,
"loss": 0.043,
"step": 1590
},
{
"epoch": 4.8,
"learning_rate": 8.168168168168168e-06,
"loss": 0.1015,
"step": 1600
},
{
"epoch": 4.8,
"eval_accuracy": 0.9436769394261424,
"eval_loss": 0.236781507730484,
"eval_runtime": 39.398,
"eval_samples_per_second": 23.884,
"eval_steps_per_second": 2.995,
"step": 1600
},
{
"epoch": 4.83,
"learning_rate": 6.966966966966967e-06,
"loss": 0.1853,
"step": 1610
},
{
"epoch": 4.86,
"learning_rate": 5.765765765765766e-06,
"loss": 0.0874,
"step": 1620
},
{
"epoch": 4.89,
"learning_rate": 4.5645645645645645e-06,
"loss": 0.0949,
"step": 1630
},
{
"epoch": 4.92,
"learning_rate": 3.3633633633633636e-06,
"loss": 0.1901,
"step": 1640
},
{
"epoch": 4.95,
"learning_rate": 2.1621621621621623e-06,
"loss": 0.1235,
"step": 1650
},
{
"epoch": 4.98,
"learning_rate": 9.60960960960961e-07,
"loss": 0.0785,
"step": 1660
},
{
"epoch": 5.0,
"step": 1665,
"total_flos": 2.0875695162281165e+18,
"train_loss": 0.38661149321375665,
"train_runtime": 2052.9844,
"train_samples_per_second": 12.976,
"train_steps_per_second": 0.811
}
],
"max_steps": 1665,
"num_train_epochs": 5,
"total_flos": 2.0875695162281165e+18,
"trial_name": null,
"trial_params": null
}