GD / trainer_state.json
mandelakori's picture
Upload folder using huggingface_hub
e01a873 verified
{
"best_metric": 0.21704278886318207,
"best_model_checkpoint": "./outputs/checkpoint-10000",
"epoch": 5.0,
"global_step": 10000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 1.9980000000000002e-05,
"loss": 0.6939,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 1.9960000000000002e-05,
"loss": 0.625,
"step": 20
},
{
"epoch": 0.01,
"learning_rate": 1.9940000000000002e-05,
"loss": 0.7085,
"step": 30
},
{
"epoch": 0.02,
"learning_rate": 1.9920000000000002e-05,
"loss": 0.7261,
"step": 40
},
{
"epoch": 0.03,
"learning_rate": 1.9900000000000003e-05,
"loss": 0.7178,
"step": 50
},
{
"epoch": 0.03,
"learning_rate": 1.9880000000000003e-05,
"loss": 0.6555,
"step": 60
},
{
"epoch": 0.04,
"learning_rate": 1.9860000000000003e-05,
"loss": 0.6719,
"step": 70
},
{
"epoch": 0.04,
"learning_rate": 1.9840000000000003e-05,
"loss": 0.7012,
"step": 80
},
{
"epoch": 0.04,
"learning_rate": 1.982e-05,
"loss": 0.8066,
"step": 90
},
{
"epoch": 0.05,
"learning_rate": 1.98e-05,
"loss": 0.7443,
"step": 100
},
{
"epoch": 0.06,
"learning_rate": 1.978e-05,
"loss": 0.5879,
"step": 110
},
{
"epoch": 0.06,
"learning_rate": 1.976e-05,
"loss": 0.625,
"step": 120
},
{
"epoch": 0.07,
"learning_rate": 1.974e-05,
"loss": 0.6223,
"step": 130
},
{
"epoch": 0.07,
"learning_rate": 1.972e-05,
"loss": 0.5434,
"step": 140
},
{
"epoch": 0.07,
"learning_rate": 1.97e-05,
"loss": 0.5689,
"step": 150
},
{
"epoch": 0.08,
"learning_rate": 1.968e-05,
"loss": 0.6387,
"step": 160
},
{
"epoch": 0.09,
"learning_rate": 1.966e-05,
"loss": 0.6345,
"step": 170
},
{
"epoch": 0.09,
"learning_rate": 1.9640000000000002e-05,
"loss": 0.7149,
"step": 180
},
{
"epoch": 0.1,
"learning_rate": 1.9620000000000002e-05,
"loss": 0.6409,
"step": 190
},
{
"epoch": 0.1,
"learning_rate": 1.9600000000000002e-05,
"loss": 0.6555,
"step": 200
},
{
"epoch": 0.1,
"learning_rate": 1.9580000000000002e-05,
"loss": 0.6102,
"step": 210
},
{
"epoch": 0.11,
"learning_rate": 1.9560000000000002e-05,
"loss": 0.5622,
"step": 220
},
{
"epoch": 0.12,
"learning_rate": 1.9540000000000003e-05,
"loss": 0.6004,
"step": 230
},
{
"epoch": 0.12,
"learning_rate": 1.9520000000000003e-05,
"loss": 0.6103,
"step": 240
},
{
"epoch": 0.12,
"learning_rate": 1.95e-05,
"loss": 0.5665,
"step": 250
},
{
"epoch": 0.13,
"learning_rate": 1.948e-05,
"loss": 0.5606,
"step": 260
},
{
"epoch": 0.14,
"learning_rate": 1.946e-05,
"loss": 0.6076,
"step": 270
},
{
"epoch": 0.14,
"learning_rate": 1.944e-05,
"loss": 0.6076,
"step": 280
},
{
"epoch": 0.14,
"learning_rate": 1.942e-05,
"loss": 0.6752,
"step": 290
},
{
"epoch": 0.15,
"learning_rate": 1.94e-05,
"loss": 0.6028,
"step": 300
},
{
"epoch": 0.15,
"learning_rate": 1.938e-05,
"loss": 0.5248,
"step": 310
},
{
"epoch": 0.16,
"learning_rate": 1.936e-05,
"loss": 0.5376,
"step": 320
},
{
"epoch": 0.17,
"learning_rate": 1.934e-05,
"loss": 0.623,
"step": 330
},
{
"epoch": 0.17,
"learning_rate": 1.932e-05,
"loss": 0.5682,
"step": 340
},
{
"epoch": 0.17,
"learning_rate": 1.93e-05,
"loss": 0.6842,
"step": 350
},
{
"epoch": 0.18,
"learning_rate": 1.9280000000000002e-05,
"loss": 0.5146,
"step": 360
},
{
"epoch": 0.18,
"learning_rate": 1.9260000000000002e-05,
"loss": 0.6353,
"step": 370
},
{
"epoch": 0.19,
"learning_rate": 1.9240000000000002e-05,
"loss": 0.5733,
"step": 380
},
{
"epoch": 0.2,
"learning_rate": 1.9220000000000002e-05,
"loss": 0.514,
"step": 390
},
{
"epoch": 0.2,
"learning_rate": 1.9200000000000003e-05,
"loss": 0.5455,
"step": 400
},
{
"epoch": 0.2,
"learning_rate": 1.918e-05,
"loss": 0.5864,
"step": 410
},
{
"epoch": 0.21,
"learning_rate": 1.916e-05,
"loss": 0.5682,
"step": 420
},
{
"epoch": 0.21,
"learning_rate": 1.914e-05,
"loss": 0.5623,
"step": 430
},
{
"epoch": 0.22,
"learning_rate": 1.912e-05,
"loss": 0.589,
"step": 440
},
{
"epoch": 0.23,
"learning_rate": 1.91e-05,
"loss": 0.4743,
"step": 450
},
{
"epoch": 0.23,
"learning_rate": 1.908e-05,
"loss": 0.6108,
"step": 460
},
{
"epoch": 0.23,
"learning_rate": 1.906e-05,
"loss": 0.5182,
"step": 470
},
{
"epoch": 0.24,
"learning_rate": 1.904e-05,
"loss": 0.5723,
"step": 480
},
{
"epoch": 0.24,
"learning_rate": 1.902e-05,
"loss": 0.5332,
"step": 490
},
{
"epoch": 0.25,
"learning_rate": 1.9e-05,
"loss": 0.5283,
"step": 500
},
{
"epoch": 0.26,
"learning_rate": 1.898e-05,
"loss": 0.5365,
"step": 510
},
{
"epoch": 0.26,
"learning_rate": 1.896e-05,
"loss": 0.5412,
"step": 520
},
{
"epoch": 0.27,
"learning_rate": 1.894e-05,
"loss": 0.5126,
"step": 530
},
{
"epoch": 0.27,
"learning_rate": 1.8920000000000002e-05,
"loss": 0.4809,
"step": 540
},
{
"epoch": 0.28,
"learning_rate": 1.8900000000000002e-05,
"loss": 0.5309,
"step": 550
},
{
"epoch": 0.28,
"learning_rate": 1.8880000000000002e-05,
"loss": 0.8295,
"step": 560
},
{
"epoch": 0.28,
"learning_rate": 1.886e-05,
"loss": 0.6505,
"step": 570
},
{
"epoch": 0.29,
"learning_rate": 1.884e-05,
"loss": 0.5147,
"step": 580
},
{
"epoch": 0.29,
"learning_rate": 1.882e-05,
"loss": 0.5151,
"step": 590
},
{
"epoch": 0.3,
"learning_rate": 1.88e-05,
"loss": 0.5735,
"step": 600
},
{
"epoch": 0.3,
"learning_rate": 1.878e-05,
"loss": 0.5699,
"step": 610
},
{
"epoch": 0.31,
"learning_rate": 1.876e-05,
"loss": 0.488,
"step": 620
},
{
"epoch": 0.32,
"learning_rate": 1.8740000000000004e-05,
"loss": 0.5066,
"step": 630
},
{
"epoch": 0.32,
"learning_rate": 1.8720000000000004e-05,
"loss": 0.5173,
"step": 640
},
{
"epoch": 0.33,
"learning_rate": 1.8700000000000004e-05,
"loss": 0.5082,
"step": 650
},
{
"epoch": 0.33,
"learning_rate": 1.8680000000000004e-05,
"loss": 0.4313,
"step": 660
},
{
"epoch": 0.34,
"learning_rate": 1.866e-05,
"loss": 0.4317,
"step": 670
},
{
"epoch": 0.34,
"learning_rate": 1.864e-05,
"loss": 0.63,
"step": 680
},
{
"epoch": 0.34,
"learning_rate": 1.862e-05,
"loss": 0.5844,
"step": 690
},
{
"epoch": 0.35,
"learning_rate": 1.86e-05,
"loss": 0.609,
"step": 700
},
{
"epoch": 0.35,
"learning_rate": 1.858e-05,
"loss": 0.4647,
"step": 710
},
{
"epoch": 0.36,
"learning_rate": 1.8560000000000002e-05,
"loss": 0.5973,
"step": 720
},
{
"epoch": 0.36,
"learning_rate": 1.8540000000000002e-05,
"loss": 0.6601,
"step": 730
},
{
"epoch": 0.37,
"learning_rate": 1.8520000000000002e-05,
"loss": 0.5252,
"step": 740
},
{
"epoch": 0.38,
"learning_rate": 1.8500000000000002e-05,
"loss": 0.5705,
"step": 750
},
{
"epoch": 0.38,
"learning_rate": 1.8480000000000003e-05,
"loss": 0.5515,
"step": 760
},
{
"epoch": 0.39,
"learning_rate": 1.8460000000000003e-05,
"loss": 0.5659,
"step": 770
},
{
"epoch": 0.39,
"learning_rate": 1.8440000000000003e-05,
"loss": 0.5333,
"step": 780
},
{
"epoch": 0.4,
"learning_rate": 1.8420000000000003e-05,
"loss": 0.6172,
"step": 790
},
{
"epoch": 0.4,
"learning_rate": 1.8400000000000003e-05,
"loss": 0.5093,
"step": 800
},
{
"epoch": 0.41,
"learning_rate": 1.8380000000000004e-05,
"loss": 0.4659,
"step": 810
},
{
"epoch": 0.41,
"learning_rate": 1.8360000000000004e-05,
"loss": 0.4899,
"step": 820
},
{
"epoch": 0.41,
"learning_rate": 1.834e-05,
"loss": 0.4629,
"step": 830
},
{
"epoch": 0.42,
"learning_rate": 1.832e-05,
"loss": 0.6965,
"step": 840
},
{
"epoch": 0.42,
"learning_rate": 1.83e-05,
"loss": 0.4061,
"step": 850
},
{
"epoch": 0.43,
"learning_rate": 1.828e-05,
"loss": 0.4113,
"step": 860
},
{
"epoch": 0.43,
"learning_rate": 1.826e-05,
"loss": 0.4064,
"step": 870
},
{
"epoch": 0.44,
"learning_rate": 1.824e-05,
"loss": 0.5627,
"step": 880
},
{
"epoch": 0.45,
"learning_rate": 1.8220000000000002e-05,
"loss": 0.5696,
"step": 890
},
{
"epoch": 0.45,
"learning_rate": 1.8200000000000002e-05,
"loss": 0.5148,
"step": 900
},
{
"epoch": 0.46,
"learning_rate": 1.8180000000000002e-05,
"loss": 0.5677,
"step": 910
},
{
"epoch": 0.46,
"learning_rate": 1.8160000000000002e-05,
"loss": 0.5877,
"step": 920
},
{
"epoch": 0.47,
"learning_rate": 1.8140000000000003e-05,
"loss": 0.5872,
"step": 930
},
{
"epoch": 0.47,
"learning_rate": 1.8120000000000003e-05,
"loss": 0.52,
"step": 940
},
{
"epoch": 0.47,
"learning_rate": 1.8100000000000003e-05,
"loss": 0.529,
"step": 950
},
{
"epoch": 0.48,
"learning_rate": 1.8080000000000003e-05,
"loss": 0.4559,
"step": 960
},
{
"epoch": 0.48,
"learning_rate": 1.8060000000000003e-05,
"loss": 0.6564,
"step": 970
},
{
"epoch": 0.49,
"learning_rate": 1.8040000000000003e-05,
"loss": 0.5445,
"step": 980
},
{
"epoch": 0.49,
"learning_rate": 1.802e-05,
"loss": 0.5945,
"step": 990
},
{
"epoch": 0.5,
"learning_rate": 1.8e-05,
"loss": 0.4755,
"step": 1000
},
{
"epoch": 0.51,
"learning_rate": 1.798e-05,
"loss": 0.5667,
"step": 1010
},
{
"epoch": 0.51,
"learning_rate": 1.796e-05,
"loss": 0.511,
"step": 1020
},
{
"epoch": 0.52,
"learning_rate": 1.794e-05,
"loss": 0.5742,
"step": 1030
},
{
"epoch": 0.52,
"learning_rate": 1.792e-05,
"loss": 0.4517,
"step": 1040
},
{
"epoch": 0.53,
"learning_rate": 1.79e-05,
"loss": 0.5685,
"step": 1050
},
{
"epoch": 0.53,
"learning_rate": 1.788e-05,
"loss": 0.4295,
"step": 1060
},
{
"epoch": 0.54,
"learning_rate": 1.7860000000000002e-05,
"loss": 0.5063,
"step": 1070
},
{
"epoch": 0.54,
"learning_rate": 1.7840000000000002e-05,
"loss": 0.4871,
"step": 1080
},
{
"epoch": 0.55,
"learning_rate": 1.7820000000000002e-05,
"loss": 0.4698,
"step": 1090
},
{
"epoch": 0.55,
"learning_rate": 1.7800000000000002e-05,
"loss": 0.5343,
"step": 1100
},
{
"epoch": 0.56,
"learning_rate": 1.7780000000000003e-05,
"loss": 0.4913,
"step": 1110
},
{
"epoch": 0.56,
"learning_rate": 1.7760000000000003e-05,
"loss": 0.4589,
"step": 1120
},
{
"epoch": 0.56,
"learning_rate": 1.7740000000000003e-05,
"loss": 0.5496,
"step": 1130
},
{
"epoch": 0.57,
"learning_rate": 1.7720000000000003e-05,
"loss": 0.63,
"step": 1140
},
{
"epoch": 0.57,
"learning_rate": 1.77e-05,
"loss": 0.5309,
"step": 1150
},
{
"epoch": 0.58,
"learning_rate": 1.768e-05,
"loss": 0.6158,
"step": 1160
},
{
"epoch": 0.58,
"learning_rate": 1.766e-05,
"loss": 0.5591,
"step": 1170
},
{
"epoch": 0.59,
"learning_rate": 1.764e-05,
"loss": 0.4843,
"step": 1180
},
{
"epoch": 0.59,
"learning_rate": 1.762e-05,
"loss": 0.5171,
"step": 1190
},
{
"epoch": 0.6,
"learning_rate": 1.76e-05,
"loss": 0.5577,
"step": 1200
},
{
"epoch": 0.6,
"learning_rate": 1.758e-05,
"loss": 0.4909,
"step": 1210
},
{
"epoch": 0.61,
"learning_rate": 1.756e-05,
"loss": 0.4515,
"step": 1220
},
{
"epoch": 0.61,
"learning_rate": 1.754e-05,
"loss": 0.4726,
"step": 1230
},
{
"epoch": 0.62,
"learning_rate": 1.752e-05,
"loss": 0.405,
"step": 1240
},
{
"epoch": 0.62,
"learning_rate": 1.7500000000000002e-05,
"loss": 0.572,
"step": 1250
},
{
"epoch": 0.63,
"learning_rate": 1.7480000000000002e-05,
"loss": 0.6129,
"step": 1260
},
{
"epoch": 0.64,
"learning_rate": 1.7460000000000002e-05,
"loss": 0.4911,
"step": 1270
},
{
"epoch": 0.64,
"learning_rate": 1.7440000000000002e-05,
"loss": 0.5328,
"step": 1280
},
{
"epoch": 0.65,
"learning_rate": 1.7420000000000003e-05,
"loss": 0.5258,
"step": 1290
},
{
"epoch": 0.65,
"learning_rate": 1.7400000000000003e-05,
"loss": 0.4596,
"step": 1300
},
{
"epoch": 0.66,
"learning_rate": 1.7380000000000003e-05,
"loss": 0.5182,
"step": 1310
},
{
"epoch": 0.66,
"learning_rate": 1.736e-05,
"loss": 0.504,
"step": 1320
},
{
"epoch": 0.67,
"learning_rate": 1.734e-05,
"loss": 0.5586,
"step": 1330
},
{
"epoch": 0.67,
"learning_rate": 1.732e-05,
"loss": 0.506,
"step": 1340
},
{
"epoch": 0.68,
"learning_rate": 1.73e-05,
"loss": 0.4121,
"step": 1350
},
{
"epoch": 0.68,
"learning_rate": 1.728e-05,
"loss": 0.537,
"step": 1360
},
{
"epoch": 0.69,
"learning_rate": 1.726e-05,
"loss": 0.5619,
"step": 1370
},
{
"epoch": 0.69,
"learning_rate": 1.724e-05,
"loss": 0.4346,
"step": 1380
},
{
"epoch": 0.69,
"learning_rate": 1.722e-05,
"loss": 0.5476,
"step": 1390
},
{
"epoch": 0.7,
"learning_rate": 1.72e-05,
"loss": 0.4887,
"step": 1400
},
{
"epoch": 0.7,
"learning_rate": 1.718e-05,
"loss": 0.5839,
"step": 1410
},
{
"epoch": 0.71,
"learning_rate": 1.7160000000000002e-05,
"loss": 0.5675,
"step": 1420
},
{
"epoch": 0.71,
"learning_rate": 1.7140000000000002e-05,
"loss": 0.4049,
"step": 1430
},
{
"epoch": 0.72,
"learning_rate": 1.7120000000000002e-05,
"loss": 0.4323,
"step": 1440
},
{
"epoch": 0.72,
"learning_rate": 1.7100000000000002e-05,
"loss": 0.4614,
"step": 1450
},
{
"epoch": 0.73,
"learning_rate": 1.7080000000000002e-05,
"loss": 0.5135,
"step": 1460
},
{
"epoch": 0.73,
"learning_rate": 1.7060000000000003e-05,
"loss": 0.4687,
"step": 1470
},
{
"epoch": 0.74,
"learning_rate": 1.704e-05,
"loss": 0.4394,
"step": 1480
},
{
"epoch": 0.74,
"learning_rate": 1.702e-05,
"loss": 0.4685,
"step": 1490
},
{
"epoch": 0.75,
"learning_rate": 1.7e-05,
"loss": 0.5203,
"step": 1500
},
{
"epoch": 0.76,
"learning_rate": 1.698e-05,
"loss": 0.5185,
"step": 1510
},
{
"epoch": 0.76,
"learning_rate": 1.696e-05,
"loss": 0.5369,
"step": 1520
},
{
"epoch": 0.77,
"learning_rate": 1.694e-05,
"loss": 0.4692,
"step": 1530
},
{
"epoch": 0.77,
"learning_rate": 1.692e-05,
"loss": 0.425,
"step": 1540
},
{
"epoch": 0.78,
"learning_rate": 1.69e-05,
"loss": 0.4624,
"step": 1550
},
{
"epoch": 0.78,
"learning_rate": 1.688e-05,
"loss": 0.4548,
"step": 1560
},
{
"epoch": 0.79,
"learning_rate": 1.686e-05,
"loss": 0.3428,
"step": 1570
},
{
"epoch": 0.79,
"learning_rate": 1.684e-05,
"loss": 0.4495,
"step": 1580
},
{
"epoch": 0.8,
"learning_rate": 1.682e-05,
"loss": 0.4178,
"step": 1590
},
{
"epoch": 0.8,
"learning_rate": 1.6800000000000002e-05,
"loss": 0.4716,
"step": 1600
},
{
"epoch": 0.81,
"learning_rate": 1.6780000000000002e-05,
"loss": 0.5051,
"step": 1610
},
{
"epoch": 0.81,
"learning_rate": 1.6760000000000002e-05,
"loss": 0.5372,
"step": 1620
},
{
"epoch": 0.81,
"learning_rate": 1.6740000000000002e-05,
"loss": 0.5413,
"step": 1630
},
{
"epoch": 0.82,
"learning_rate": 1.672e-05,
"loss": 0.4294,
"step": 1640
},
{
"epoch": 0.82,
"learning_rate": 1.67e-05,
"loss": 0.4341,
"step": 1650
},
{
"epoch": 0.83,
"learning_rate": 1.668e-05,
"loss": 0.4515,
"step": 1660
},
{
"epoch": 0.83,
"learning_rate": 1.666e-05,
"loss": 0.5709,
"step": 1670
},
{
"epoch": 0.84,
"learning_rate": 1.664e-05,
"loss": 0.5482,
"step": 1680
},
{
"epoch": 0.84,
"learning_rate": 1.662e-05,
"loss": 0.4269,
"step": 1690
},
{
"epoch": 0.85,
"learning_rate": 1.66e-05,
"loss": 0.622,
"step": 1700
},
{
"epoch": 0.85,
"learning_rate": 1.658e-05,
"loss": 0.5156,
"step": 1710
},
{
"epoch": 0.86,
"learning_rate": 1.656e-05,
"loss": 0.3698,
"step": 1720
},
{
"epoch": 0.86,
"learning_rate": 1.654e-05,
"loss": 0.5114,
"step": 1730
},
{
"epoch": 0.87,
"learning_rate": 1.652e-05,
"loss": 0.4461,
"step": 1740
},
{
"epoch": 0.88,
"learning_rate": 1.65e-05,
"loss": 0.5658,
"step": 1750
},
{
"epoch": 0.88,
"learning_rate": 1.648e-05,
"loss": 0.4755,
"step": 1760
},
{
"epoch": 0.89,
"learning_rate": 1.646e-05,
"loss": 0.5131,
"step": 1770
},
{
"epoch": 0.89,
"learning_rate": 1.6440000000000002e-05,
"loss": 0.5374,
"step": 1780
},
{
"epoch": 0.9,
"learning_rate": 1.6420000000000002e-05,
"loss": 0.5224,
"step": 1790
},
{
"epoch": 0.9,
"learning_rate": 1.64e-05,
"loss": 0.4829,
"step": 1800
},
{
"epoch": 0.91,
"learning_rate": 1.638e-05,
"loss": 0.359,
"step": 1810
},
{
"epoch": 0.91,
"learning_rate": 1.636e-05,
"loss": 0.3834,
"step": 1820
},
{
"epoch": 0.92,
"learning_rate": 1.634e-05,
"loss": 0.4865,
"step": 1830
},
{
"epoch": 0.92,
"learning_rate": 1.632e-05,
"loss": 0.4626,
"step": 1840
},
{
"epoch": 0.93,
"learning_rate": 1.63e-05,
"loss": 0.3687,
"step": 1850
},
{
"epoch": 0.93,
"learning_rate": 1.628e-05,
"loss": 0.5426,
"step": 1860
},
{
"epoch": 0.94,
"learning_rate": 1.626e-05,
"loss": 0.6008,
"step": 1870
},
{
"epoch": 0.94,
"learning_rate": 1.6240000000000004e-05,
"loss": 0.5275,
"step": 1880
},
{
"epoch": 0.94,
"learning_rate": 1.6220000000000004e-05,
"loss": 0.4179,
"step": 1890
},
{
"epoch": 0.95,
"learning_rate": 1.62e-05,
"loss": 0.4707,
"step": 1900
},
{
"epoch": 0.95,
"learning_rate": 1.618e-05,
"loss": 0.6843,
"step": 1910
},
{
"epoch": 0.96,
"learning_rate": 1.616e-05,
"loss": 0.5619,
"step": 1920
},
{
"epoch": 0.96,
"learning_rate": 1.614e-05,
"loss": 0.5877,
"step": 1930
},
{
"epoch": 0.97,
"learning_rate": 1.612e-05,
"loss": 0.6247,
"step": 1940
},
{
"epoch": 0.97,
"learning_rate": 1.6100000000000002e-05,
"loss": 0.5433,
"step": 1950
},
{
"epoch": 0.98,
"learning_rate": 1.6080000000000002e-05,
"loss": 0.4228,
"step": 1960
},
{
"epoch": 0.98,
"learning_rate": 1.6060000000000002e-05,
"loss": 0.4567,
"step": 1970
},
{
"epoch": 0.99,
"learning_rate": 1.6040000000000002e-05,
"loss": 0.5629,
"step": 1980
},
{
"epoch": 0.99,
"learning_rate": 1.6020000000000002e-05,
"loss": 0.4159,
"step": 1990
},
{
"epoch": 1.0,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.5193,
"step": 2000
},
{
"epoch": 1.0,
"eval_accuracy": 0.8533475026567482,
"eval_loss": 0.3346226215362549,
"eval_runtime": 12.1352,
"eval_samples_per_second": 232.629,
"eval_steps_per_second": 29.089,
"step": 2000
},
{
"epoch": 1.0,
"learning_rate": 1.5980000000000003e-05,
"loss": 0.4334,
"step": 2010
},
{
"epoch": 1.01,
"learning_rate": 1.5960000000000003e-05,
"loss": 0.5265,
"step": 2020
},
{
"epoch": 1.01,
"learning_rate": 1.5940000000000003e-05,
"loss": 0.4527,
"step": 2030
},
{
"epoch": 1.02,
"learning_rate": 1.5920000000000003e-05,
"loss": 0.5046,
"step": 2040
},
{
"epoch": 1.02,
"learning_rate": 1.5900000000000004e-05,
"loss": 0.4549,
"step": 2050
},
{
"epoch": 1.03,
"learning_rate": 1.588e-05,
"loss": 0.4136,
"step": 2060
},
{
"epoch": 1.03,
"learning_rate": 1.586e-05,
"loss": 0.5247,
"step": 2070
},
{
"epoch": 1.04,
"learning_rate": 1.584e-05,
"loss": 0.4806,
"step": 2080
},
{
"epoch": 1.04,
"learning_rate": 1.582e-05,
"loss": 0.5402,
"step": 2090
},
{
"epoch": 1.05,
"learning_rate": 1.58e-05,
"loss": 0.5339,
"step": 2100
},
{
"epoch": 1.05,
"learning_rate": 1.578e-05,
"loss": 0.4736,
"step": 2110
},
{
"epoch": 1.06,
"learning_rate": 1.576e-05,
"loss": 0.58,
"step": 2120
},
{
"epoch": 1.06,
"learning_rate": 1.5740000000000002e-05,
"loss": 0.3891,
"step": 2130
},
{
"epoch": 1.07,
"learning_rate": 1.5720000000000002e-05,
"loss": 0.5435,
"step": 2140
},
{
"epoch": 1.07,
"learning_rate": 1.5700000000000002e-05,
"loss": 0.4249,
"step": 2150
},
{
"epoch": 1.08,
"learning_rate": 1.5680000000000002e-05,
"loss": 0.5014,
"step": 2160
},
{
"epoch": 1.08,
"learning_rate": 1.5660000000000003e-05,
"loss": 0.4712,
"step": 2170
},
{
"epoch": 1.09,
"learning_rate": 1.5640000000000003e-05,
"loss": 0.5119,
"step": 2180
},
{
"epoch": 1.09,
"learning_rate": 1.5620000000000003e-05,
"loss": 0.5538,
"step": 2190
},
{
"epoch": 1.1,
"learning_rate": 1.5600000000000003e-05,
"loss": 0.5055,
"step": 2200
},
{
"epoch": 1.1,
"learning_rate": 1.5580000000000003e-05,
"loss": 0.5375,
"step": 2210
},
{
"epoch": 1.11,
"learning_rate": 1.556e-05,
"loss": 0.5395,
"step": 2220
},
{
"epoch": 1.11,
"learning_rate": 1.554e-05,
"loss": 0.5556,
"step": 2230
},
{
"epoch": 1.12,
"learning_rate": 1.552e-05,
"loss": 0.4772,
"step": 2240
},
{
"epoch": 1.12,
"learning_rate": 1.55e-05,
"loss": 0.3976,
"step": 2250
},
{
"epoch": 1.13,
"learning_rate": 1.548e-05,
"loss": 0.5703,
"step": 2260
},
{
"epoch": 1.14,
"learning_rate": 1.546e-05,
"loss": 0.3762,
"step": 2270
},
{
"epoch": 1.14,
"learning_rate": 1.544e-05,
"loss": 0.511,
"step": 2280
},
{
"epoch": 1.15,
"learning_rate": 1.542e-05,
"loss": 0.3883,
"step": 2290
},
{
"epoch": 1.15,
"learning_rate": 1.54e-05,
"loss": 0.5396,
"step": 2300
},
{
"epoch": 1.16,
"learning_rate": 1.5380000000000002e-05,
"loss": 0.4215,
"step": 2310
},
{
"epoch": 1.16,
"learning_rate": 1.5360000000000002e-05,
"loss": 0.5234,
"step": 2320
},
{
"epoch": 1.17,
"learning_rate": 1.5340000000000002e-05,
"loss": 0.5003,
"step": 2330
},
{
"epoch": 1.17,
"learning_rate": 1.5320000000000002e-05,
"loss": 0.5139,
"step": 2340
},
{
"epoch": 1.18,
"learning_rate": 1.5300000000000003e-05,
"loss": 0.3844,
"step": 2350
},
{
"epoch": 1.18,
"learning_rate": 1.5280000000000003e-05,
"loss": 0.5582,
"step": 2360
},
{
"epoch": 1.19,
"learning_rate": 1.5260000000000003e-05,
"loss": 0.5031,
"step": 2370
},
{
"epoch": 1.19,
"learning_rate": 1.5240000000000001e-05,
"loss": 0.5046,
"step": 2380
},
{
"epoch": 1.2,
"learning_rate": 1.5220000000000002e-05,
"loss": 0.4748,
"step": 2390
},
{
"epoch": 1.2,
"learning_rate": 1.5200000000000002e-05,
"loss": 0.4242,
"step": 2400
},
{
"epoch": 1.21,
"learning_rate": 1.5180000000000002e-05,
"loss": 0.4565,
"step": 2410
},
{
"epoch": 1.21,
"learning_rate": 1.516e-05,
"loss": 0.4637,
"step": 2420
},
{
"epoch": 1.22,
"learning_rate": 1.514e-05,
"loss": 0.5014,
"step": 2430
},
{
"epoch": 1.22,
"learning_rate": 1.5120000000000001e-05,
"loss": 0.4742,
"step": 2440
},
{
"epoch": 1.23,
"learning_rate": 1.5100000000000001e-05,
"loss": 0.455,
"step": 2450
},
{
"epoch": 1.23,
"learning_rate": 1.5080000000000001e-05,
"loss": 0.424,
"step": 2460
},
{
"epoch": 1.23,
"learning_rate": 1.5060000000000001e-05,
"loss": 0.4607,
"step": 2470
},
{
"epoch": 1.24,
"learning_rate": 1.5040000000000002e-05,
"loss": 0.3498,
"step": 2480
},
{
"epoch": 1.25,
"learning_rate": 1.5020000000000002e-05,
"loss": 0.4468,
"step": 2490
},
{
"epoch": 1.25,
"learning_rate": 1.5000000000000002e-05,
"loss": 0.4526,
"step": 2500
},
{
"epoch": 1.25,
"learning_rate": 1.498e-05,
"loss": 0.3407,
"step": 2510
},
{
"epoch": 1.26,
"learning_rate": 1.496e-05,
"loss": 0.5423,
"step": 2520
},
{
"epoch": 1.27,
"learning_rate": 1.4940000000000001e-05,
"loss": 0.4411,
"step": 2530
},
{
"epoch": 1.27,
"learning_rate": 1.4920000000000001e-05,
"loss": 0.4874,
"step": 2540
},
{
"epoch": 1.27,
"learning_rate": 1.4900000000000001e-05,
"loss": 0.5164,
"step": 2550
},
{
"epoch": 1.28,
"learning_rate": 1.4880000000000002e-05,
"loss": 0.3663,
"step": 2560
},
{
"epoch": 1.28,
"learning_rate": 1.4860000000000002e-05,
"loss": 0.4915,
"step": 2570
},
{
"epoch": 1.29,
"learning_rate": 1.4840000000000002e-05,
"loss": 0.4372,
"step": 2580
},
{
"epoch": 1.29,
"learning_rate": 1.482e-05,
"loss": 0.3957,
"step": 2590
},
{
"epoch": 1.3,
"learning_rate": 1.48e-05,
"loss": 0.3829,
"step": 2600
},
{
"epoch": 1.3,
"learning_rate": 1.478e-05,
"loss": 0.4239,
"step": 2610
},
{
"epoch": 1.31,
"learning_rate": 1.4760000000000001e-05,
"loss": 0.5329,
"step": 2620
},
{
"epoch": 1.31,
"learning_rate": 1.4740000000000001e-05,
"loss": 0.3856,
"step": 2630
},
{
"epoch": 1.32,
"learning_rate": 1.4720000000000001e-05,
"loss": 0.385,
"step": 2640
},
{
"epoch": 1.32,
"learning_rate": 1.4700000000000002e-05,
"loss": 0.6578,
"step": 2650
},
{
"epoch": 1.33,
"learning_rate": 1.4680000000000002e-05,
"loss": 0.4879,
"step": 2660
},
{
"epoch": 1.33,
"learning_rate": 1.466e-05,
"loss": 0.4267,
"step": 2670
},
{
"epoch": 1.34,
"learning_rate": 1.464e-05,
"loss": 0.4636,
"step": 2680
},
{
"epoch": 1.34,
"learning_rate": 1.462e-05,
"loss": 0.4344,
"step": 2690
},
{
"epoch": 1.35,
"learning_rate": 1.46e-05,
"loss": 0.4744,
"step": 2700
},
{
"epoch": 1.35,
"learning_rate": 1.4580000000000001e-05,
"loss": 0.582,
"step": 2710
},
{
"epoch": 1.36,
"learning_rate": 1.4560000000000001e-05,
"loss": 0.3262,
"step": 2720
},
{
"epoch": 1.36,
"learning_rate": 1.4540000000000001e-05,
"loss": 0.4893,
"step": 2730
},
{
"epoch": 1.37,
"learning_rate": 1.4520000000000002e-05,
"loss": 0.3631,
"step": 2740
},
{
"epoch": 1.38,
"learning_rate": 1.45e-05,
"loss": 0.5369,
"step": 2750
},
{
"epoch": 1.38,
"learning_rate": 1.448e-05,
"loss": 0.4084,
"step": 2760
},
{
"epoch": 1.39,
"learning_rate": 1.446e-05,
"loss": 0.3515,
"step": 2770
},
{
"epoch": 1.39,
"learning_rate": 1.444e-05,
"loss": 0.3209,
"step": 2780
},
{
"epoch": 1.4,
"learning_rate": 1.4420000000000001e-05,
"loss": 0.4764,
"step": 2790
},
{
"epoch": 1.4,
"learning_rate": 1.4400000000000001e-05,
"loss": 0.4856,
"step": 2800
},
{
"epoch": 1.41,
"learning_rate": 1.4380000000000001e-05,
"loss": 0.5746,
"step": 2810
},
{
"epoch": 1.41,
"learning_rate": 1.4360000000000001e-05,
"loss": 0.4593,
"step": 2820
},
{
"epoch": 1.42,
"learning_rate": 1.434e-05,
"loss": 0.4143,
"step": 2830
},
{
"epoch": 1.42,
"learning_rate": 1.432e-05,
"loss": 0.3721,
"step": 2840
},
{
"epoch": 1.43,
"learning_rate": 1.43e-05,
"loss": 0.4414,
"step": 2850
},
{
"epoch": 1.43,
"learning_rate": 1.428e-05,
"loss": 0.5248,
"step": 2860
},
{
"epoch": 1.44,
"learning_rate": 1.426e-05,
"loss": 0.5316,
"step": 2870
},
{
"epoch": 1.44,
"learning_rate": 1.4240000000000001e-05,
"loss": 0.3969,
"step": 2880
},
{
"epoch": 1.45,
"learning_rate": 1.4220000000000001e-05,
"loss": 0.5427,
"step": 2890
},
{
"epoch": 1.45,
"learning_rate": 1.4200000000000001e-05,
"loss": 0.6245,
"step": 2900
},
{
"epoch": 1.46,
"learning_rate": 1.418e-05,
"loss": 0.514,
"step": 2910
},
{
"epoch": 1.46,
"learning_rate": 1.416e-05,
"loss": 0.4506,
"step": 2920
},
{
"epoch": 1.47,
"learning_rate": 1.414e-05,
"loss": 0.6037,
"step": 2930
},
{
"epoch": 1.47,
"learning_rate": 1.412e-05,
"loss": 0.3866,
"step": 2940
},
{
"epoch": 1.48,
"learning_rate": 1.41e-05,
"loss": 0.3734,
"step": 2950
},
{
"epoch": 1.48,
"learning_rate": 1.408e-05,
"loss": 0.4857,
"step": 2960
},
{
"epoch": 1.48,
"learning_rate": 1.4060000000000001e-05,
"loss": 0.4482,
"step": 2970
},
{
"epoch": 1.49,
"learning_rate": 1.4040000000000001e-05,
"loss": 0.3991,
"step": 2980
},
{
"epoch": 1.5,
"learning_rate": 1.402e-05,
"loss": 0.4058,
"step": 2990
},
{
"epoch": 1.5,
"learning_rate": 1.4e-05,
"loss": 0.4337,
"step": 3000
},
{
"epoch": 1.5,
"learning_rate": 1.398e-05,
"loss": 0.3608,
"step": 3010
},
{
"epoch": 1.51,
"learning_rate": 1.396e-05,
"loss": 0.3672,
"step": 3020
},
{
"epoch": 1.52,
"learning_rate": 1.394e-05,
"loss": 0.4036,
"step": 3030
},
{
"epoch": 1.52,
"learning_rate": 1.392e-05,
"loss": 0.3101,
"step": 3040
},
{
"epoch": 1.52,
"learning_rate": 1.39e-05,
"loss": 0.4007,
"step": 3050
},
{
"epoch": 1.53,
"learning_rate": 1.3880000000000001e-05,
"loss": 0.3762,
"step": 3060
},
{
"epoch": 1.54,
"learning_rate": 1.386e-05,
"loss": 0.6522,
"step": 3070
},
{
"epoch": 1.54,
"learning_rate": 1.384e-05,
"loss": 0.5718,
"step": 3080
},
{
"epoch": 1.54,
"learning_rate": 1.382e-05,
"loss": 0.4189,
"step": 3090
},
{
"epoch": 1.55,
"learning_rate": 1.38e-05,
"loss": 0.3717,
"step": 3100
},
{
"epoch": 1.56,
"learning_rate": 1.378e-05,
"loss": 0.4456,
"step": 3110
},
{
"epoch": 1.56,
"learning_rate": 1.376e-05,
"loss": 0.3815,
"step": 3120
},
{
"epoch": 1.56,
"learning_rate": 1.3740000000000002e-05,
"loss": 0.4982,
"step": 3130
},
{
"epoch": 1.57,
"learning_rate": 1.3720000000000002e-05,
"loss": 0.3865,
"step": 3140
},
{
"epoch": 1.57,
"learning_rate": 1.3700000000000003e-05,
"loss": 0.4284,
"step": 3150
},
{
"epoch": 1.58,
"learning_rate": 1.3680000000000003e-05,
"loss": 0.469,
"step": 3160
},
{
"epoch": 1.58,
"learning_rate": 1.3660000000000001e-05,
"loss": 0.5024,
"step": 3170
},
{
"epoch": 1.59,
"learning_rate": 1.3640000000000002e-05,
"loss": 0.4257,
"step": 3180
},
{
"epoch": 1.59,
"learning_rate": 1.3620000000000002e-05,
"loss": 0.4811,
"step": 3190
},
{
"epoch": 1.6,
"learning_rate": 1.3600000000000002e-05,
"loss": 0.4264,
"step": 3200
},
{
"epoch": 1.6,
"learning_rate": 1.3580000000000002e-05,
"loss": 0.3129,
"step": 3210
},
{
"epoch": 1.61,
"learning_rate": 1.3560000000000002e-05,
"loss": 0.4252,
"step": 3220
},
{
"epoch": 1.61,
"learning_rate": 1.3540000000000003e-05,
"loss": 0.459,
"step": 3230
},
{
"epoch": 1.62,
"learning_rate": 1.3520000000000003e-05,
"loss": 0.459,
"step": 3240
},
{
"epoch": 1.62,
"learning_rate": 1.3500000000000001e-05,
"loss": 0.5765,
"step": 3250
},
{
"epoch": 1.63,
"learning_rate": 1.3480000000000001e-05,
"loss": 0.5409,
"step": 3260
},
{
"epoch": 1.64,
"learning_rate": 1.3460000000000002e-05,
"loss": 0.4468,
"step": 3270
},
{
"epoch": 1.64,
"learning_rate": 1.3440000000000002e-05,
"loss": 0.4625,
"step": 3280
},
{
"epoch": 1.65,
"learning_rate": 1.3420000000000002e-05,
"loss": 0.6015,
"step": 3290
},
{
"epoch": 1.65,
"learning_rate": 1.3400000000000002e-05,
"loss": 0.3956,
"step": 3300
},
{
"epoch": 1.66,
"learning_rate": 1.3380000000000002e-05,
"loss": 0.4767,
"step": 3310
},
{
"epoch": 1.66,
"learning_rate": 1.3360000000000003e-05,
"loss": 0.5715,
"step": 3320
},
{
"epoch": 1.67,
"learning_rate": 1.3340000000000001e-05,
"loss": 0.4869,
"step": 3330
},
{
"epoch": 1.67,
"learning_rate": 1.3320000000000001e-05,
"loss": 0.4554,
"step": 3340
},
{
"epoch": 1.68,
"learning_rate": 1.3300000000000001e-05,
"loss": 0.4013,
"step": 3350
},
{
"epoch": 1.68,
"learning_rate": 1.3280000000000002e-05,
"loss": 0.3721,
"step": 3360
},
{
"epoch": 1.69,
"learning_rate": 1.3260000000000002e-05,
"loss": 0.5452,
"step": 3370
},
{
"epoch": 1.69,
"learning_rate": 1.3240000000000002e-05,
"loss": 0.4286,
"step": 3380
},
{
"epoch": 1.69,
"learning_rate": 1.3220000000000002e-05,
"loss": 0.3666,
"step": 3390
},
{
"epoch": 1.7,
"learning_rate": 1.3200000000000002e-05,
"loss": 0.4162,
"step": 3400
},
{
"epoch": 1.71,
"learning_rate": 1.3180000000000001e-05,
"loss": 0.3919,
"step": 3410
},
{
"epoch": 1.71,
"learning_rate": 1.3160000000000001e-05,
"loss": 0.4261,
"step": 3420
},
{
"epoch": 1.71,
"learning_rate": 1.3140000000000001e-05,
"loss": 0.515,
"step": 3430
},
{
"epoch": 1.72,
"learning_rate": 1.3120000000000001e-05,
"loss": 0.3572,
"step": 3440
},
{
"epoch": 1.73,
"learning_rate": 1.3100000000000002e-05,
"loss": 0.3408,
"step": 3450
},
{
"epoch": 1.73,
"learning_rate": 1.3080000000000002e-05,
"loss": 0.4376,
"step": 3460
},
{
"epoch": 1.73,
"learning_rate": 1.3060000000000002e-05,
"loss": 0.4591,
"step": 3470
},
{
"epoch": 1.74,
"learning_rate": 1.3040000000000002e-05,
"loss": 0.4289,
"step": 3480
},
{
"epoch": 1.75,
"learning_rate": 1.302e-05,
"loss": 0.3451,
"step": 3490
},
{
"epoch": 1.75,
"learning_rate": 1.3000000000000001e-05,
"loss": 0.3713,
"step": 3500
},
{
"epoch": 1.75,
"learning_rate": 1.2980000000000001e-05,
"loss": 0.5562,
"step": 3510
},
{
"epoch": 1.76,
"learning_rate": 1.2960000000000001e-05,
"loss": 0.4459,
"step": 3520
},
{
"epoch": 1.77,
"learning_rate": 1.2940000000000001e-05,
"loss": 0.3464,
"step": 3530
},
{
"epoch": 1.77,
"learning_rate": 1.2920000000000002e-05,
"loss": 0.4756,
"step": 3540
},
{
"epoch": 1.77,
"learning_rate": 1.2900000000000002e-05,
"loss": 0.5188,
"step": 3550
},
{
"epoch": 1.78,
"learning_rate": 1.2880000000000002e-05,
"loss": 0.3863,
"step": 3560
},
{
"epoch": 1.79,
"learning_rate": 1.286e-05,
"loss": 0.4354,
"step": 3570
},
{
"epoch": 1.79,
"learning_rate": 1.284e-05,
"loss": 0.3893,
"step": 3580
},
{
"epoch": 1.79,
"learning_rate": 1.2820000000000001e-05,
"loss": 0.4097,
"step": 3590
},
{
"epoch": 1.8,
"learning_rate": 1.2800000000000001e-05,
"loss": 0.3204,
"step": 3600
},
{
"epoch": 1.81,
"learning_rate": 1.2780000000000001e-05,
"loss": 0.3697,
"step": 3610
},
{
"epoch": 1.81,
"learning_rate": 1.2760000000000001e-05,
"loss": 0.4393,
"step": 3620
},
{
"epoch": 1.81,
"learning_rate": 1.2740000000000002e-05,
"loss": 0.508,
"step": 3630
},
{
"epoch": 1.82,
"learning_rate": 1.2720000000000002e-05,
"loss": 0.3644,
"step": 3640
},
{
"epoch": 1.82,
"learning_rate": 1.27e-05,
"loss": 0.3669,
"step": 3650
},
{
"epoch": 1.83,
"learning_rate": 1.268e-05,
"loss": 0.5235,
"step": 3660
},
{
"epoch": 1.83,
"learning_rate": 1.266e-05,
"loss": 0.4511,
"step": 3670
},
{
"epoch": 1.84,
"learning_rate": 1.2640000000000001e-05,
"loss": 0.7004,
"step": 3680
},
{
"epoch": 1.84,
"learning_rate": 1.2620000000000001e-05,
"loss": 0.4061,
"step": 3690
},
{
"epoch": 1.85,
"learning_rate": 1.2600000000000001e-05,
"loss": 0.4878,
"step": 3700
},
{
"epoch": 1.85,
"learning_rate": 1.2580000000000002e-05,
"loss": 0.394,
"step": 3710
},
{
"epoch": 1.86,
"learning_rate": 1.2560000000000002e-05,
"loss": 0.443,
"step": 3720
},
{
"epoch": 1.86,
"learning_rate": 1.254e-05,
"loss": 0.5277,
"step": 3730
},
{
"epoch": 1.87,
"learning_rate": 1.252e-05,
"loss": 0.4001,
"step": 3740
},
{
"epoch": 1.88,
"learning_rate": 1.25e-05,
"loss": 0.4226,
"step": 3750
},
{
"epoch": 1.88,
"learning_rate": 1.248e-05,
"loss": 0.497,
"step": 3760
},
{
"epoch": 1.89,
"learning_rate": 1.2460000000000001e-05,
"loss": 0.4695,
"step": 3770
},
{
"epoch": 1.89,
"learning_rate": 1.2440000000000001e-05,
"loss": 0.4494,
"step": 3780
},
{
"epoch": 1.9,
"learning_rate": 1.2420000000000001e-05,
"loss": 0.4569,
"step": 3790
},
{
"epoch": 1.9,
"learning_rate": 1.2400000000000002e-05,
"loss": 0.535,
"step": 3800
},
{
"epoch": 1.91,
"learning_rate": 1.2380000000000002e-05,
"loss": 0.4378,
"step": 3810
},
{
"epoch": 1.91,
"learning_rate": 1.236e-05,
"loss": 0.408,
"step": 3820
},
{
"epoch": 1.92,
"learning_rate": 1.234e-05,
"loss": 0.3572,
"step": 3830
},
{
"epoch": 1.92,
"learning_rate": 1.232e-05,
"loss": 0.3581,
"step": 3840
},
{
"epoch": 1.93,
"learning_rate": 1.23e-05,
"loss": 0.3117,
"step": 3850
},
{
"epoch": 1.93,
"learning_rate": 1.2280000000000001e-05,
"loss": 0.4045,
"step": 3860
},
{
"epoch": 1.94,
"learning_rate": 1.2260000000000001e-05,
"loss": 0.354,
"step": 3870
},
{
"epoch": 1.94,
"learning_rate": 1.2240000000000001e-05,
"loss": 0.4286,
"step": 3880
},
{
"epoch": 1.94,
"learning_rate": 1.2220000000000002e-05,
"loss": 0.5221,
"step": 3890
},
{
"epoch": 1.95,
"learning_rate": 1.22e-05,
"loss": 0.376,
"step": 3900
},
{
"epoch": 1.96,
"learning_rate": 1.218e-05,
"loss": 0.3027,
"step": 3910
},
{
"epoch": 1.96,
"learning_rate": 1.216e-05,
"loss": 0.4867,
"step": 3920
},
{
"epoch": 1.96,
"learning_rate": 1.214e-05,
"loss": 0.4892,
"step": 3930
},
{
"epoch": 1.97,
"learning_rate": 1.2120000000000001e-05,
"loss": 0.3886,
"step": 3940
},
{
"epoch": 1.98,
"learning_rate": 1.2100000000000001e-05,
"loss": 0.3565,
"step": 3950
},
{
"epoch": 1.98,
"learning_rate": 1.2080000000000001e-05,
"loss": 0.3524,
"step": 3960
},
{
"epoch": 1.98,
"learning_rate": 1.2060000000000001e-05,
"loss": 0.3861,
"step": 3970
},
{
"epoch": 1.99,
"learning_rate": 1.204e-05,
"loss": 0.4929,
"step": 3980
},
{
"epoch": 2.0,
"learning_rate": 1.202e-05,
"loss": 0.3813,
"step": 3990
},
{
"epoch": 2.0,
"learning_rate": 1.2e-05,
"loss": 0.337,
"step": 4000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8777895855472901,
"eval_loss": 0.28915584087371826,
"eval_runtime": 12.0602,
"eval_samples_per_second": 234.076,
"eval_steps_per_second": 29.27,
"step": 4000
},
{
"epoch": 2.0,
"learning_rate": 1.198e-05,
"loss": 0.4788,
"step": 4010
},
{
"epoch": 2.01,
"learning_rate": 1.196e-05,
"loss": 0.4925,
"step": 4020
},
{
"epoch": 2.02,
"learning_rate": 1.1940000000000001e-05,
"loss": 0.4162,
"step": 4030
},
{
"epoch": 2.02,
"learning_rate": 1.1920000000000001e-05,
"loss": 0.4735,
"step": 4040
},
{
"epoch": 2.02,
"learning_rate": 1.1900000000000001e-05,
"loss": 0.5041,
"step": 4050
},
{
"epoch": 2.03,
"learning_rate": 1.188e-05,
"loss": 0.4502,
"step": 4060
},
{
"epoch": 2.04,
"learning_rate": 1.186e-05,
"loss": 0.404,
"step": 4070
},
{
"epoch": 2.04,
"learning_rate": 1.184e-05,
"loss": 0.41,
"step": 4080
},
{
"epoch": 2.04,
"learning_rate": 1.182e-05,
"loss": 0.3369,
"step": 4090
},
{
"epoch": 2.05,
"learning_rate": 1.18e-05,
"loss": 0.3297,
"step": 4100
},
{
"epoch": 2.06,
"learning_rate": 1.178e-05,
"loss": 0.4311,
"step": 4110
},
{
"epoch": 2.06,
"learning_rate": 1.1760000000000001e-05,
"loss": 0.4848,
"step": 4120
},
{
"epoch": 2.06,
"learning_rate": 1.1740000000000001e-05,
"loss": 0.4646,
"step": 4130
},
{
"epoch": 2.07,
"learning_rate": 1.172e-05,
"loss": 0.2932,
"step": 4140
},
{
"epoch": 2.08,
"learning_rate": 1.17e-05,
"loss": 0.5245,
"step": 4150
},
{
"epoch": 2.08,
"learning_rate": 1.168e-05,
"loss": 0.4599,
"step": 4160
},
{
"epoch": 2.08,
"learning_rate": 1.166e-05,
"loss": 0.3636,
"step": 4170
},
{
"epoch": 2.09,
"learning_rate": 1.164e-05,
"loss": 0.4461,
"step": 4180
},
{
"epoch": 2.1,
"learning_rate": 1.162e-05,
"loss": 0.4158,
"step": 4190
},
{
"epoch": 2.1,
"learning_rate": 1.16e-05,
"loss": 0.4235,
"step": 4200
},
{
"epoch": 2.1,
"learning_rate": 1.1580000000000001e-05,
"loss": 0.5746,
"step": 4210
},
{
"epoch": 2.11,
"learning_rate": 1.156e-05,
"loss": 0.4843,
"step": 4220
},
{
"epoch": 2.12,
"learning_rate": 1.154e-05,
"loss": 0.438,
"step": 4230
},
{
"epoch": 2.12,
"learning_rate": 1.152e-05,
"loss": 0.4038,
"step": 4240
},
{
"epoch": 2.12,
"learning_rate": 1.15e-05,
"loss": 0.3282,
"step": 4250
},
{
"epoch": 2.13,
"learning_rate": 1.148e-05,
"loss": 0.3476,
"step": 4260
},
{
"epoch": 2.13,
"learning_rate": 1.146e-05,
"loss": 0.5096,
"step": 4270
},
{
"epoch": 2.14,
"learning_rate": 1.144e-05,
"loss": 0.4123,
"step": 4280
},
{
"epoch": 2.15,
"learning_rate": 1.142e-05,
"loss": 0.3776,
"step": 4290
},
{
"epoch": 2.15,
"learning_rate": 1.14e-05,
"loss": 0.4905,
"step": 4300
},
{
"epoch": 2.15,
"learning_rate": 1.138e-05,
"loss": 0.4365,
"step": 4310
},
{
"epoch": 2.16,
"learning_rate": 1.136e-05,
"loss": 0.3964,
"step": 4320
},
{
"epoch": 2.17,
"learning_rate": 1.134e-05,
"loss": 0.4531,
"step": 4330
},
{
"epoch": 2.17,
"learning_rate": 1.132e-05,
"loss": 0.4326,
"step": 4340
},
{
"epoch": 2.17,
"learning_rate": 1.13e-05,
"loss": 0.3562,
"step": 4350
},
{
"epoch": 2.18,
"learning_rate": 1.128e-05,
"loss": 0.3907,
"step": 4360
},
{
"epoch": 2.19,
"learning_rate": 1.126e-05,
"loss": 0.4127,
"step": 4370
},
{
"epoch": 2.19,
"learning_rate": 1.1240000000000002e-05,
"loss": 0.4155,
"step": 4380
},
{
"epoch": 2.19,
"learning_rate": 1.1220000000000003e-05,
"loss": 0.4167,
"step": 4390
},
{
"epoch": 2.2,
"learning_rate": 1.1200000000000001e-05,
"loss": 0.3452,
"step": 4400
},
{
"epoch": 2.21,
"learning_rate": 1.1180000000000001e-05,
"loss": 0.3245,
"step": 4410
},
{
"epoch": 2.21,
"learning_rate": 1.1160000000000002e-05,
"loss": 0.3444,
"step": 4420
},
{
"epoch": 2.21,
"learning_rate": 1.1140000000000002e-05,
"loss": 0.4127,
"step": 4430
},
{
"epoch": 2.22,
"learning_rate": 1.1120000000000002e-05,
"loss": 0.3968,
"step": 4440
},
{
"epoch": 2.23,
"learning_rate": 1.1100000000000002e-05,
"loss": 0.3726,
"step": 4450
},
{
"epoch": 2.23,
"learning_rate": 1.1080000000000002e-05,
"loss": 0.3779,
"step": 4460
},
{
"epoch": 2.23,
"learning_rate": 1.1060000000000003e-05,
"loss": 0.6474,
"step": 4470
},
{
"epoch": 2.24,
"learning_rate": 1.1040000000000001e-05,
"loss": 0.3387,
"step": 4480
},
{
"epoch": 2.25,
"learning_rate": 1.1020000000000001e-05,
"loss": 0.5002,
"step": 4490
},
{
"epoch": 2.25,
"learning_rate": 1.1000000000000001e-05,
"loss": 0.3347,
"step": 4500
},
{
"epoch": 2.25,
"learning_rate": 1.0980000000000002e-05,
"loss": 0.4875,
"step": 4510
},
{
"epoch": 2.26,
"learning_rate": 1.0960000000000002e-05,
"loss": 0.4971,
"step": 4520
},
{
"epoch": 2.27,
"learning_rate": 1.0940000000000002e-05,
"loss": 0.3277,
"step": 4530
},
{
"epoch": 2.27,
"learning_rate": 1.0920000000000002e-05,
"loss": 0.4733,
"step": 4540
},
{
"epoch": 2.27,
"learning_rate": 1.0900000000000002e-05,
"loss": 0.4148,
"step": 4550
},
{
"epoch": 2.28,
"learning_rate": 1.0880000000000001e-05,
"loss": 0.4388,
"step": 4560
},
{
"epoch": 2.29,
"learning_rate": 1.0860000000000001e-05,
"loss": 0.4897,
"step": 4570
},
{
"epoch": 2.29,
"learning_rate": 1.0840000000000001e-05,
"loss": 0.5448,
"step": 4580
},
{
"epoch": 2.29,
"learning_rate": 1.0820000000000001e-05,
"loss": 0.3224,
"step": 4590
},
{
"epoch": 2.3,
"learning_rate": 1.0800000000000002e-05,
"loss": 0.5522,
"step": 4600
},
{
"epoch": 2.31,
"learning_rate": 1.0780000000000002e-05,
"loss": 0.3744,
"step": 4610
},
{
"epoch": 2.31,
"learning_rate": 1.0760000000000002e-05,
"loss": 0.4594,
"step": 4620
},
{
"epoch": 2.31,
"learning_rate": 1.0740000000000002e-05,
"loss": 0.4284,
"step": 4630
},
{
"epoch": 2.32,
"learning_rate": 1.072e-05,
"loss": 0.4829,
"step": 4640
},
{
"epoch": 2.33,
"learning_rate": 1.0700000000000001e-05,
"loss": 0.3484,
"step": 4650
},
{
"epoch": 2.33,
"learning_rate": 1.0680000000000001e-05,
"loss": 0.3768,
"step": 4660
},
{
"epoch": 2.33,
"learning_rate": 1.0660000000000001e-05,
"loss": 0.4383,
"step": 4670
},
{
"epoch": 2.34,
"learning_rate": 1.0640000000000001e-05,
"loss": 0.4789,
"step": 4680
},
{
"epoch": 2.34,
"learning_rate": 1.0620000000000002e-05,
"loss": 0.2911,
"step": 4690
},
{
"epoch": 2.35,
"learning_rate": 1.0600000000000002e-05,
"loss": 0.5925,
"step": 4700
},
{
"epoch": 2.35,
"learning_rate": 1.0580000000000002e-05,
"loss": 0.3896,
"step": 4710
},
{
"epoch": 2.36,
"learning_rate": 1.056e-05,
"loss": 0.4255,
"step": 4720
},
{
"epoch": 2.37,
"learning_rate": 1.054e-05,
"loss": 0.4014,
"step": 4730
},
{
"epoch": 2.37,
"learning_rate": 1.0520000000000001e-05,
"loss": 0.3283,
"step": 4740
},
{
"epoch": 2.38,
"learning_rate": 1.0500000000000001e-05,
"loss": 0.4424,
"step": 4750
},
{
"epoch": 2.38,
"learning_rate": 1.0480000000000001e-05,
"loss": 0.3849,
"step": 4760
},
{
"epoch": 2.38,
"learning_rate": 1.0460000000000001e-05,
"loss": 0.4048,
"step": 4770
},
{
"epoch": 2.39,
"learning_rate": 1.0440000000000002e-05,
"loss": 0.2175,
"step": 4780
},
{
"epoch": 2.4,
"learning_rate": 1.0420000000000002e-05,
"loss": 0.538,
"step": 4790
},
{
"epoch": 2.4,
"learning_rate": 1.04e-05,
"loss": 0.3498,
"step": 4800
},
{
"epoch": 2.41,
"learning_rate": 1.038e-05,
"loss": 0.5187,
"step": 4810
},
{
"epoch": 2.41,
"learning_rate": 1.036e-05,
"loss": 0.4999,
"step": 4820
},
{
"epoch": 2.42,
"learning_rate": 1.0340000000000001e-05,
"loss": 0.4838,
"step": 4830
},
{
"epoch": 2.42,
"learning_rate": 1.0320000000000001e-05,
"loss": 0.3557,
"step": 4840
},
{
"epoch": 2.42,
"learning_rate": 1.0300000000000001e-05,
"loss": 0.4256,
"step": 4850
},
{
"epoch": 2.43,
"learning_rate": 1.0280000000000002e-05,
"loss": 0.3425,
"step": 4860
},
{
"epoch": 2.44,
"learning_rate": 1.0260000000000002e-05,
"loss": 0.3676,
"step": 4870
},
{
"epoch": 2.44,
"learning_rate": 1.024e-05,
"loss": 0.3826,
"step": 4880
},
{
"epoch": 2.44,
"learning_rate": 1.022e-05,
"loss": 0.3211,
"step": 4890
},
{
"epoch": 2.45,
"learning_rate": 1.02e-05,
"loss": 0.3308,
"step": 4900
},
{
"epoch": 2.46,
"learning_rate": 1.018e-05,
"loss": 0.4076,
"step": 4910
},
{
"epoch": 2.46,
"learning_rate": 1.0160000000000001e-05,
"loss": 0.4811,
"step": 4920
},
{
"epoch": 2.46,
"learning_rate": 1.0140000000000001e-05,
"loss": 0.2422,
"step": 4930
},
{
"epoch": 2.47,
"learning_rate": 1.0120000000000001e-05,
"loss": 0.3318,
"step": 4940
},
{
"epoch": 2.48,
"learning_rate": 1.0100000000000002e-05,
"loss": 0.4771,
"step": 4950
},
{
"epoch": 2.48,
"learning_rate": 1.008e-05,
"loss": 0.5033,
"step": 4960
},
{
"epoch": 2.48,
"learning_rate": 1.006e-05,
"loss": 0.5547,
"step": 4970
},
{
"epoch": 2.49,
"learning_rate": 1.004e-05,
"loss": 0.3199,
"step": 4980
},
{
"epoch": 2.5,
"learning_rate": 1.002e-05,
"loss": 0.4568,
"step": 4990
},
{
"epoch": 2.5,
"learning_rate": 1e-05,
"loss": 0.2876,
"step": 5000
},
{
"epoch": 2.5,
"learning_rate": 9.980000000000001e-06,
"loss": 0.4552,
"step": 5010
},
{
"epoch": 2.51,
"learning_rate": 9.960000000000001e-06,
"loss": 0.4002,
"step": 5020
},
{
"epoch": 2.52,
"learning_rate": 9.940000000000001e-06,
"loss": 0.4293,
"step": 5030
},
{
"epoch": 2.52,
"learning_rate": 9.920000000000002e-06,
"loss": 0.3541,
"step": 5040
},
{
"epoch": 2.52,
"learning_rate": 9.9e-06,
"loss": 0.4607,
"step": 5050
},
{
"epoch": 2.53,
"learning_rate": 9.88e-06,
"loss": 0.393,
"step": 5060
},
{
"epoch": 2.54,
"learning_rate": 9.86e-06,
"loss": 0.3946,
"step": 5070
},
{
"epoch": 2.54,
"learning_rate": 9.84e-06,
"loss": 0.4723,
"step": 5080
},
{
"epoch": 2.54,
"learning_rate": 9.820000000000001e-06,
"loss": 0.4753,
"step": 5090
},
{
"epoch": 2.55,
"learning_rate": 9.800000000000001e-06,
"loss": 0.4871,
"step": 5100
},
{
"epoch": 2.56,
"learning_rate": 9.780000000000001e-06,
"loss": 0.3223,
"step": 5110
},
{
"epoch": 2.56,
"learning_rate": 9.760000000000001e-06,
"loss": 0.3411,
"step": 5120
},
{
"epoch": 2.56,
"learning_rate": 9.74e-06,
"loss": 0.3945,
"step": 5130
},
{
"epoch": 2.57,
"learning_rate": 9.72e-06,
"loss": 0.4348,
"step": 5140
},
{
"epoch": 2.58,
"learning_rate": 9.7e-06,
"loss": 0.4065,
"step": 5150
},
{
"epoch": 2.58,
"learning_rate": 9.68e-06,
"loss": 0.4037,
"step": 5160
},
{
"epoch": 2.58,
"learning_rate": 9.66e-06,
"loss": 0.4085,
"step": 5170
},
{
"epoch": 2.59,
"learning_rate": 9.640000000000001e-06,
"loss": 0.4172,
"step": 5180
},
{
"epoch": 2.59,
"learning_rate": 9.620000000000001e-06,
"loss": 0.3582,
"step": 5190
},
{
"epoch": 2.6,
"learning_rate": 9.600000000000001e-06,
"loss": 0.3995,
"step": 5200
},
{
"epoch": 2.6,
"learning_rate": 9.58e-06,
"loss": 0.2695,
"step": 5210
},
{
"epoch": 2.61,
"learning_rate": 9.56e-06,
"loss": 0.3823,
"step": 5220
},
{
"epoch": 2.62,
"learning_rate": 9.54e-06,
"loss": 0.3865,
"step": 5230
},
{
"epoch": 2.62,
"learning_rate": 9.52e-06,
"loss": 0.5069,
"step": 5240
},
{
"epoch": 2.62,
"learning_rate": 9.5e-06,
"loss": 0.478,
"step": 5250
},
{
"epoch": 2.63,
"learning_rate": 9.48e-06,
"loss": 0.4872,
"step": 5260
},
{
"epoch": 2.63,
"learning_rate": 9.460000000000001e-06,
"loss": 0.315,
"step": 5270
},
{
"epoch": 2.64,
"learning_rate": 9.440000000000001e-06,
"loss": 0.4556,
"step": 5280
},
{
"epoch": 2.65,
"learning_rate": 9.42e-06,
"loss": 0.2827,
"step": 5290
},
{
"epoch": 2.65,
"learning_rate": 9.4e-06,
"loss": 0.3753,
"step": 5300
},
{
"epoch": 2.66,
"learning_rate": 9.38e-06,
"loss": 0.3867,
"step": 5310
},
{
"epoch": 2.66,
"learning_rate": 9.360000000000002e-06,
"loss": 0.3859,
"step": 5320
},
{
"epoch": 2.67,
"learning_rate": 9.340000000000002e-06,
"loss": 0.3779,
"step": 5330
},
{
"epoch": 2.67,
"learning_rate": 9.32e-06,
"loss": 0.3769,
"step": 5340
},
{
"epoch": 2.67,
"learning_rate": 9.3e-06,
"loss": 0.4974,
"step": 5350
},
{
"epoch": 2.68,
"learning_rate": 9.280000000000001e-06,
"loss": 0.4267,
"step": 5360
},
{
"epoch": 2.69,
"learning_rate": 9.260000000000001e-06,
"loss": 0.4678,
"step": 5370
},
{
"epoch": 2.69,
"learning_rate": 9.240000000000001e-06,
"loss": 0.4145,
"step": 5380
},
{
"epoch": 2.69,
"learning_rate": 9.220000000000002e-06,
"loss": 0.3775,
"step": 5390
},
{
"epoch": 2.7,
"learning_rate": 9.200000000000002e-06,
"loss": 0.254,
"step": 5400
},
{
"epoch": 2.71,
"learning_rate": 9.180000000000002e-06,
"loss": 0.4195,
"step": 5410
},
{
"epoch": 2.71,
"learning_rate": 9.16e-06,
"loss": 0.4089,
"step": 5420
},
{
"epoch": 2.71,
"learning_rate": 9.14e-06,
"loss": 0.2697,
"step": 5430
},
{
"epoch": 2.72,
"learning_rate": 9.12e-06,
"loss": 0.4161,
"step": 5440
},
{
"epoch": 2.73,
"learning_rate": 9.100000000000001e-06,
"loss": 0.2266,
"step": 5450
},
{
"epoch": 2.73,
"learning_rate": 9.080000000000001e-06,
"loss": 0.3939,
"step": 5460
},
{
"epoch": 2.73,
"learning_rate": 9.060000000000001e-06,
"loss": 0.3836,
"step": 5470
},
{
"epoch": 2.74,
"learning_rate": 9.040000000000002e-06,
"loss": 0.3154,
"step": 5480
},
{
"epoch": 2.75,
"learning_rate": 9.020000000000002e-06,
"loss": 0.4146,
"step": 5490
},
{
"epoch": 2.75,
"learning_rate": 9e-06,
"loss": 0.4668,
"step": 5500
},
{
"epoch": 2.75,
"learning_rate": 8.98e-06,
"loss": 0.377,
"step": 5510
},
{
"epoch": 2.76,
"learning_rate": 8.96e-06,
"loss": 0.4411,
"step": 5520
},
{
"epoch": 2.77,
"learning_rate": 8.94e-06,
"loss": 0.3943,
"step": 5530
},
{
"epoch": 2.77,
"learning_rate": 8.920000000000001e-06,
"loss": 0.2114,
"step": 5540
},
{
"epoch": 2.77,
"learning_rate": 8.900000000000001e-06,
"loss": 0.4031,
"step": 5550
},
{
"epoch": 2.78,
"learning_rate": 8.880000000000001e-06,
"loss": 0.4905,
"step": 5560
},
{
"epoch": 2.79,
"learning_rate": 8.860000000000002e-06,
"loss": 0.4883,
"step": 5570
},
{
"epoch": 2.79,
"learning_rate": 8.84e-06,
"loss": 0.4772,
"step": 5580
},
{
"epoch": 2.79,
"learning_rate": 8.82e-06,
"loss": 0.4445,
"step": 5590
},
{
"epoch": 2.8,
"learning_rate": 8.8e-06,
"loss": 0.4179,
"step": 5600
},
{
"epoch": 2.81,
"learning_rate": 8.78e-06,
"loss": 0.4053,
"step": 5610
},
{
"epoch": 2.81,
"learning_rate": 8.76e-06,
"loss": 0.367,
"step": 5620
},
{
"epoch": 2.81,
"learning_rate": 8.740000000000001e-06,
"loss": 0.4299,
"step": 5630
},
{
"epoch": 2.82,
"learning_rate": 8.720000000000001e-06,
"loss": 0.3171,
"step": 5640
},
{
"epoch": 2.83,
"learning_rate": 8.700000000000001e-06,
"loss": 0.5525,
"step": 5650
},
{
"epoch": 2.83,
"learning_rate": 8.68e-06,
"loss": 0.3091,
"step": 5660
},
{
"epoch": 2.83,
"learning_rate": 8.66e-06,
"loss": 0.4636,
"step": 5670
},
{
"epoch": 2.84,
"learning_rate": 8.64e-06,
"loss": 0.3944,
"step": 5680
},
{
"epoch": 2.84,
"learning_rate": 8.62e-06,
"loss": 0.3552,
"step": 5690
},
{
"epoch": 2.85,
"learning_rate": 8.6e-06,
"loss": 0.4895,
"step": 5700
},
{
"epoch": 2.85,
"learning_rate": 8.580000000000001e-06,
"loss": 0.2151,
"step": 5710
},
{
"epoch": 2.86,
"learning_rate": 8.560000000000001e-06,
"loss": 0.2243,
"step": 5720
},
{
"epoch": 2.87,
"learning_rate": 8.540000000000001e-06,
"loss": 0.2747,
"step": 5730
},
{
"epoch": 2.87,
"learning_rate": 8.52e-06,
"loss": 0.3228,
"step": 5740
},
{
"epoch": 2.88,
"learning_rate": 8.5e-06,
"loss": 0.3405,
"step": 5750
},
{
"epoch": 2.88,
"learning_rate": 8.48e-06,
"loss": 0.3393,
"step": 5760
},
{
"epoch": 2.88,
"learning_rate": 8.46e-06,
"loss": 0.496,
"step": 5770
},
{
"epoch": 2.89,
"learning_rate": 8.44e-06,
"loss": 0.4909,
"step": 5780
},
{
"epoch": 2.9,
"learning_rate": 8.42e-06,
"loss": 0.3902,
"step": 5790
},
{
"epoch": 2.9,
"learning_rate": 8.400000000000001e-06,
"loss": 0.1537,
"step": 5800
},
{
"epoch": 2.91,
"learning_rate": 8.380000000000001e-06,
"loss": 0.3553,
"step": 5810
},
{
"epoch": 2.91,
"learning_rate": 8.36e-06,
"loss": 0.3674,
"step": 5820
},
{
"epoch": 2.92,
"learning_rate": 8.34e-06,
"loss": 0.2641,
"step": 5830
},
{
"epoch": 2.92,
"learning_rate": 8.32e-06,
"loss": 0.4141,
"step": 5840
},
{
"epoch": 2.92,
"learning_rate": 8.3e-06,
"loss": 0.4156,
"step": 5850
},
{
"epoch": 2.93,
"learning_rate": 8.28e-06,
"loss": 0.3066,
"step": 5860
},
{
"epoch": 2.94,
"learning_rate": 8.26e-06,
"loss": 0.3093,
"step": 5870
},
{
"epoch": 2.94,
"learning_rate": 8.24e-06,
"loss": 0.3933,
"step": 5880
},
{
"epoch": 2.94,
"learning_rate": 8.220000000000001e-06,
"loss": 0.4485,
"step": 5890
},
{
"epoch": 2.95,
"learning_rate": 8.2e-06,
"loss": 0.3116,
"step": 5900
},
{
"epoch": 2.96,
"learning_rate": 8.18e-06,
"loss": 0.3577,
"step": 5910
},
{
"epoch": 2.96,
"learning_rate": 8.16e-06,
"loss": 0.3518,
"step": 5920
},
{
"epoch": 2.96,
"learning_rate": 8.14e-06,
"loss": 0.4512,
"step": 5930
},
{
"epoch": 2.97,
"learning_rate": 8.120000000000002e-06,
"loss": 0.4969,
"step": 5940
},
{
"epoch": 2.98,
"learning_rate": 8.1e-06,
"loss": 0.6094,
"step": 5950
},
{
"epoch": 2.98,
"learning_rate": 8.08e-06,
"loss": 0.3628,
"step": 5960
},
{
"epoch": 2.98,
"learning_rate": 8.06e-06,
"loss": 0.4789,
"step": 5970
},
{
"epoch": 2.99,
"learning_rate": 8.040000000000001e-06,
"loss": 0.3781,
"step": 5980
},
{
"epoch": 3.0,
"learning_rate": 8.020000000000001e-06,
"loss": 0.3777,
"step": 5990
},
{
"epoch": 3.0,
"learning_rate": 8.000000000000001e-06,
"loss": 0.3771,
"step": 6000
},
{
"epoch": 3.0,
"eval_accuracy": 0.8969181721572795,
"eval_loss": 0.2492985874414444,
"eval_runtime": 12.192,
"eval_samples_per_second": 231.546,
"eval_steps_per_second": 28.953,
"step": 6000
},
{
"epoch": 3.0,
"learning_rate": 7.980000000000002e-06,
"loss": 0.3267,
"step": 6010
},
{
"epoch": 3.01,
"learning_rate": 7.960000000000002e-06,
"loss": 0.363,
"step": 6020
},
{
"epoch": 3.02,
"learning_rate": 7.94e-06,
"loss": 0.3494,
"step": 6030
},
{
"epoch": 3.02,
"learning_rate": 7.92e-06,
"loss": 0.2584,
"step": 6040
},
{
"epoch": 3.02,
"learning_rate": 7.9e-06,
"loss": 0.2958,
"step": 6050
},
{
"epoch": 3.03,
"learning_rate": 7.88e-06,
"loss": 0.3289,
"step": 6060
},
{
"epoch": 3.04,
"learning_rate": 7.860000000000001e-06,
"loss": 0.3998,
"step": 6070
},
{
"epoch": 3.04,
"learning_rate": 7.840000000000001e-06,
"loss": 0.4226,
"step": 6080
},
{
"epoch": 3.04,
"learning_rate": 7.820000000000001e-06,
"loss": 0.5205,
"step": 6090
},
{
"epoch": 3.05,
"learning_rate": 7.800000000000002e-06,
"loss": 0.2656,
"step": 6100
},
{
"epoch": 3.06,
"learning_rate": 7.78e-06,
"loss": 0.3355,
"step": 6110
},
{
"epoch": 3.06,
"learning_rate": 7.76e-06,
"loss": 0.3279,
"step": 6120
},
{
"epoch": 3.06,
"learning_rate": 7.74e-06,
"loss": 0.2957,
"step": 6130
},
{
"epoch": 3.07,
"learning_rate": 7.72e-06,
"loss": 0.3718,
"step": 6140
},
{
"epoch": 3.08,
"learning_rate": 7.7e-06,
"loss": 0.3685,
"step": 6150
},
{
"epoch": 3.08,
"learning_rate": 7.680000000000001e-06,
"loss": 0.4784,
"step": 6160
},
{
"epoch": 3.08,
"learning_rate": 7.660000000000001e-06,
"loss": 0.2879,
"step": 6170
},
{
"epoch": 3.09,
"learning_rate": 7.640000000000001e-06,
"loss": 0.2827,
"step": 6180
},
{
"epoch": 3.1,
"learning_rate": 7.620000000000001e-06,
"loss": 0.4386,
"step": 6190
},
{
"epoch": 3.1,
"learning_rate": 7.600000000000001e-06,
"loss": 0.436,
"step": 6200
},
{
"epoch": 3.1,
"learning_rate": 7.58e-06,
"loss": 0.3106,
"step": 6210
},
{
"epoch": 3.11,
"learning_rate": 7.5600000000000005e-06,
"loss": 0.3643,
"step": 6220
},
{
"epoch": 3.12,
"learning_rate": 7.540000000000001e-06,
"loss": 0.4393,
"step": 6230
},
{
"epoch": 3.12,
"learning_rate": 7.520000000000001e-06,
"loss": 0.3892,
"step": 6240
},
{
"epoch": 3.12,
"learning_rate": 7.500000000000001e-06,
"loss": 0.5483,
"step": 6250
},
{
"epoch": 3.13,
"learning_rate": 7.48e-06,
"loss": 0.434,
"step": 6260
},
{
"epoch": 3.13,
"learning_rate": 7.4600000000000006e-06,
"loss": 0.3603,
"step": 6270
},
{
"epoch": 3.14,
"learning_rate": 7.440000000000001e-06,
"loss": 0.4386,
"step": 6280
},
{
"epoch": 3.15,
"learning_rate": 7.420000000000001e-06,
"loss": 0.4268,
"step": 6290
},
{
"epoch": 3.15,
"learning_rate": 7.4e-06,
"loss": 0.432,
"step": 6300
},
{
"epoch": 3.15,
"learning_rate": 7.3800000000000005e-06,
"loss": 0.3501,
"step": 6310
},
{
"epoch": 3.16,
"learning_rate": 7.360000000000001e-06,
"loss": 0.3151,
"step": 6320
},
{
"epoch": 3.17,
"learning_rate": 7.340000000000001e-06,
"loss": 0.4465,
"step": 6330
},
{
"epoch": 3.17,
"learning_rate": 7.32e-06,
"loss": 0.4318,
"step": 6340
},
{
"epoch": 3.17,
"learning_rate": 7.3e-06,
"loss": 0.337,
"step": 6350
},
{
"epoch": 3.18,
"learning_rate": 7.280000000000001e-06,
"loss": 0.3532,
"step": 6360
},
{
"epoch": 3.19,
"learning_rate": 7.260000000000001e-06,
"loss": 0.3917,
"step": 6370
},
{
"epoch": 3.19,
"learning_rate": 7.24e-06,
"loss": 0.4249,
"step": 6380
},
{
"epoch": 3.19,
"learning_rate": 7.22e-06,
"loss": 0.3245,
"step": 6390
},
{
"epoch": 3.2,
"learning_rate": 7.2000000000000005e-06,
"loss": 0.3392,
"step": 6400
},
{
"epoch": 3.21,
"learning_rate": 7.180000000000001e-06,
"loss": 0.3983,
"step": 6410
},
{
"epoch": 3.21,
"learning_rate": 7.16e-06,
"loss": 0.28,
"step": 6420
},
{
"epoch": 3.21,
"learning_rate": 7.14e-06,
"loss": 0.4035,
"step": 6430
},
{
"epoch": 3.22,
"learning_rate": 7.1200000000000004e-06,
"loss": 0.3861,
"step": 6440
},
{
"epoch": 3.23,
"learning_rate": 7.100000000000001e-06,
"loss": 0.6548,
"step": 6450
},
{
"epoch": 3.23,
"learning_rate": 7.08e-06,
"loss": 0.4171,
"step": 6460
},
{
"epoch": 3.23,
"learning_rate": 7.06e-06,
"loss": 0.4112,
"step": 6470
},
{
"epoch": 3.24,
"learning_rate": 7.04e-06,
"loss": 0.2889,
"step": 6480
},
{
"epoch": 3.25,
"learning_rate": 7.0200000000000006e-06,
"loss": 0.3209,
"step": 6490
},
{
"epoch": 3.25,
"learning_rate": 7e-06,
"loss": 0.4533,
"step": 6500
},
{
"epoch": 3.25,
"learning_rate": 6.98e-06,
"loss": 0.4109,
"step": 6510
},
{
"epoch": 3.26,
"learning_rate": 6.96e-06,
"loss": 0.4078,
"step": 6520
},
{
"epoch": 3.27,
"learning_rate": 6.9400000000000005e-06,
"loss": 0.4347,
"step": 6530
},
{
"epoch": 3.27,
"learning_rate": 6.92e-06,
"loss": 0.3825,
"step": 6540
},
{
"epoch": 3.27,
"learning_rate": 6.9e-06,
"loss": 0.3999,
"step": 6550
},
{
"epoch": 3.28,
"learning_rate": 6.88e-06,
"loss": 0.3498,
"step": 6560
},
{
"epoch": 3.29,
"learning_rate": 6.860000000000001e-06,
"loss": 0.2962,
"step": 6570
},
{
"epoch": 3.29,
"learning_rate": 6.8400000000000014e-06,
"loss": 0.4853,
"step": 6580
},
{
"epoch": 3.29,
"learning_rate": 6.820000000000001e-06,
"loss": 0.4502,
"step": 6590
},
{
"epoch": 3.3,
"learning_rate": 6.800000000000001e-06,
"loss": 0.4225,
"step": 6600
},
{
"epoch": 3.31,
"learning_rate": 6.780000000000001e-06,
"loss": 0.3751,
"step": 6610
},
{
"epoch": 3.31,
"learning_rate": 6.760000000000001e-06,
"loss": 0.3618,
"step": 6620
},
{
"epoch": 3.31,
"learning_rate": 6.740000000000001e-06,
"loss": 0.2274,
"step": 6630
},
{
"epoch": 3.32,
"learning_rate": 6.720000000000001e-06,
"loss": 0.3132,
"step": 6640
},
{
"epoch": 3.33,
"learning_rate": 6.700000000000001e-06,
"loss": 0.2964,
"step": 6650
},
{
"epoch": 3.33,
"learning_rate": 6.680000000000001e-06,
"loss": 0.4183,
"step": 6660
},
{
"epoch": 3.33,
"learning_rate": 6.660000000000001e-06,
"loss": 0.3342,
"step": 6670
},
{
"epoch": 3.34,
"learning_rate": 6.640000000000001e-06,
"loss": 0.4125,
"step": 6680
},
{
"epoch": 3.34,
"learning_rate": 6.620000000000001e-06,
"loss": 0.4458,
"step": 6690
},
{
"epoch": 3.35,
"learning_rate": 6.600000000000001e-06,
"loss": 0.338,
"step": 6700
},
{
"epoch": 3.35,
"learning_rate": 6.5800000000000005e-06,
"loss": 0.2804,
"step": 6710
},
{
"epoch": 3.36,
"learning_rate": 6.560000000000001e-06,
"loss": 0.2932,
"step": 6720
},
{
"epoch": 3.37,
"learning_rate": 6.540000000000001e-06,
"loss": 0.3589,
"step": 6730
},
{
"epoch": 3.37,
"learning_rate": 6.520000000000001e-06,
"loss": 0.361,
"step": 6740
},
{
"epoch": 3.38,
"learning_rate": 6.5000000000000004e-06,
"loss": 0.3964,
"step": 6750
},
{
"epoch": 3.38,
"learning_rate": 6.480000000000001e-06,
"loss": 0.3585,
"step": 6760
},
{
"epoch": 3.38,
"learning_rate": 6.460000000000001e-06,
"loss": 0.3569,
"step": 6770
},
{
"epoch": 3.39,
"learning_rate": 6.440000000000001e-06,
"loss": 0.3413,
"step": 6780
},
{
"epoch": 3.4,
"learning_rate": 6.42e-06,
"loss": 0.3815,
"step": 6790
},
{
"epoch": 3.4,
"learning_rate": 6.4000000000000006e-06,
"loss": 0.3529,
"step": 6800
},
{
"epoch": 3.41,
"learning_rate": 6.380000000000001e-06,
"loss": 0.2655,
"step": 6810
},
{
"epoch": 3.41,
"learning_rate": 6.360000000000001e-06,
"loss": 0.3011,
"step": 6820
},
{
"epoch": 3.42,
"learning_rate": 6.34e-06,
"loss": 0.2936,
"step": 6830
},
{
"epoch": 3.42,
"learning_rate": 6.3200000000000005e-06,
"loss": 0.2918,
"step": 6840
},
{
"epoch": 3.42,
"learning_rate": 6.300000000000001e-06,
"loss": 0.432,
"step": 6850
},
{
"epoch": 3.43,
"learning_rate": 6.280000000000001e-06,
"loss": 0.4691,
"step": 6860
},
{
"epoch": 3.44,
"learning_rate": 6.26e-06,
"loss": 0.4513,
"step": 6870
},
{
"epoch": 3.44,
"learning_rate": 6.24e-06,
"loss": 0.4222,
"step": 6880
},
{
"epoch": 3.44,
"learning_rate": 6.220000000000001e-06,
"loss": 0.3333,
"step": 6890
},
{
"epoch": 3.45,
"learning_rate": 6.200000000000001e-06,
"loss": 0.2511,
"step": 6900
},
{
"epoch": 3.46,
"learning_rate": 6.18e-06,
"loss": 0.3171,
"step": 6910
},
{
"epoch": 3.46,
"learning_rate": 6.16e-06,
"loss": 0.4494,
"step": 6920
},
{
"epoch": 3.46,
"learning_rate": 6.1400000000000005e-06,
"loss": 0.2583,
"step": 6930
},
{
"epoch": 3.47,
"learning_rate": 6.120000000000001e-06,
"loss": 0.3131,
"step": 6940
},
{
"epoch": 3.48,
"learning_rate": 6.1e-06,
"loss": 0.551,
"step": 6950
},
{
"epoch": 3.48,
"learning_rate": 6.08e-06,
"loss": 0.2501,
"step": 6960
},
{
"epoch": 3.48,
"learning_rate": 6.0600000000000004e-06,
"loss": 0.3497,
"step": 6970
},
{
"epoch": 3.49,
"learning_rate": 6.040000000000001e-06,
"loss": 0.5224,
"step": 6980
},
{
"epoch": 3.5,
"learning_rate": 6.02e-06,
"loss": 0.3128,
"step": 6990
},
{
"epoch": 3.5,
"learning_rate": 6e-06,
"loss": 0.3826,
"step": 7000
},
{
"epoch": 3.5,
"learning_rate": 5.98e-06,
"loss": 0.3125,
"step": 7010
},
{
"epoch": 3.51,
"learning_rate": 5.9600000000000005e-06,
"loss": 0.4111,
"step": 7020
},
{
"epoch": 3.52,
"learning_rate": 5.94e-06,
"loss": 0.2608,
"step": 7030
},
{
"epoch": 3.52,
"learning_rate": 5.92e-06,
"loss": 0.3991,
"step": 7040
},
{
"epoch": 3.52,
"learning_rate": 5.9e-06,
"loss": 0.3986,
"step": 7050
},
{
"epoch": 3.53,
"learning_rate": 5.8800000000000005e-06,
"loss": 0.3782,
"step": 7060
},
{
"epoch": 3.54,
"learning_rate": 5.86e-06,
"loss": 0.4044,
"step": 7070
},
{
"epoch": 3.54,
"learning_rate": 5.84e-06,
"loss": 0.4661,
"step": 7080
},
{
"epoch": 3.54,
"learning_rate": 5.82e-06,
"loss": 0.3813,
"step": 7090
},
{
"epoch": 3.55,
"learning_rate": 5.8e-06,
"loss": 0.426,
"step": 7100
},
{
"epoch": 3.56,
"learning_rate": 5.78e-06,
"loss": 0.2647,
"step": 7110
},
{
"epoch": 3.56,
"learning_rate": 5.76e-06,
"loss": 0.4087,
"step": 7120
},
{
"epoch": 3.56,
"learning_rate": 5.74e-06,
"loss": 0.3746,
"step": 7130
},
{
"epoch": 3.57,
"learning_rate": 5.72e-06,
"loss": 0.4835,
"step": 7140
},
{
"epoch": 3.58,
"learning_rate": 5.7e-06,
"loss": 0.2269,
"step": 7150
},
{
"epoch": 3.58,
"learning_rate": 5.68e-06,
"loss": 0.2984,
"step": 7160
},
{
"epoch": 3.58,
"learning_rate": 5.66e-06,
"loss": 0.3343,
"step": 7170
},
{
"epoch": 3.59,
"learning_rate": 5.64e-06,
"loss": 0.5323,
"step": 7180
},
{
"epoch": 3.59,
"learning_rate": 5.620000000000001e-06,
"loss": 0.4122,
"step": 7190
},
{
"epoch": 3.6,
"learning_rate": 5.600000000000001e-06,
"loss": 0.4582,
"step": 7200
},
{
"epoch": 3.6,
"learning_rate": 5.580000000000001e-06,
"loss": 0.308,
"step": 7210
},
{
"epoch": 3.61,
"learning_rate": 5.560000000000001e-06,
"loss": 0.3218,
"step": 7220
},
{
"epoch": 3.62,
"learning_rate": 5.540000000000001e-06,
"loss": 0.4305,
"step": 7230
},
{
"epoch": 3.62,
"learning_rate": 5.5200000000000005e-06,
"loss": 0.3995,
"step": 7240
},
{
"epoch": 3.62,
"learning_rate": 5.500000000000001e-06,
"loss": 0.3022,
"step": 7250
},
{
"epoch": 3.63,
"learning_rate": 5.480000000000001e-06,
"loss": 0.4294,
"step": 7260
},
{
"epoch": 3.63,
"learning_rate": 5.460000000000001e-06,
"loss": 0.3508,
"step": 7270
},
{
"epoch": 3.64,
"learning_rate": 5.4400000000000004e-06,
"loss": 0.5502,
"step": 7280
},
{
"epoch": 3.65,
"learning_rate": 5.420000000000001e-06,
"loss": 0.3474,
"step": 7290
},
{
"epoch": 3.65,
"learning_rate": 5.400000000000001e-06,
"loss": 0.4551,
"step": 7300
},
{
"epoch": 3.66,
"learning_rate": 5.380000000000001e-06,
"loss": 0.376,
"step": 7310
},
{
"epoch": 3.66,
"learning_rate": 5.36e-06,
"loss": 0.3818,
"step": 7320
},
{
"epoch": 3.67,
"learning_rate": 5.3400000000000005e-06,
"loss": 0.4401,
"step": 7330
},
{
"epoch": 3.67,
"learning_rate": 5.320000000000001e-06,
"loss": 0.2996,
"step": 7340
},
{
"epoch": 3.67,
"learning_rate": 5.300000000000001e-06,
"loss": 0.4456,
"step": 7350
},
{
"epoch": 3.68,
"learning_rate": 5.28e-06,
"loss": 0.3195,
"step": 7360
},
{
"epoch": 3.69,
"learning_rate": 5.2600000000000005e-06,
"loss": 0.4861,
"step": 7370
},
{
"epoch": 3.69,
"learning_rate": 5.240000000000001e-06,
"loss": 0.4056,
"step": 7380
},
{
"epoch": 3.69,
"learning_rate": 5.220000000000001e-06,
"loss": 0.3041,
"step": 7390
},
{
"epoch": 3.7,
"learning_rate": 5.2e-06,
"loss": 0.3005,
"step": 7400
},
{
"epoch": 3.71,
"learning_rate": 5.18e-06,
"loss": 0.2771,
"step": 7410
},
{
"epoch": 3.71,
"learning_rate": 5.1600000000000006e-06,
"loss": 0.2574,
"step": 7420
},
{
"epoch": 3.71,
"learning_rate": 5.140000000000001e-06,
"loss": 0.3663,
"step": 7430
},
{
"epoch": 3.72,
"learning_rate": 5.12e-06,
"loss": 0.3586,
"step": 7440
},
{
"epoch": 3.73,
"learning_rate": 5.1e-06,
"loss": 0.2552,
"step": 7450
},
{
"epoch": 3.73,
"learning_rate": 5.0800000000000005e-06,
"loss": 0.5182,
"step": 7460
},
{
"epoch": 3.73,
"learning_rate": 5.060000000000001e-06,
"loss": 0.3337,
"step": 7470
},
{
"epoch": 3.74,
"learning_rate": 5.04e-06,
"loss": 0.3506,
"step": 7480
},
{
"epoch": 3.75,
"learning_rate": 5.02e-06,
"loss": 0.3552,
"step": 7490
},
{
"epoch": 3.75,
"learning_rate": 5e-06,
"loss": 0.3652,
"step": 7500
},
{
"epoch": 3.75,
"learning_rate": 4.980000000000001e-06,
"loss": 0.2553,
"step": 7510
},
{
"epoch": 3.76,
"learning_rate": 4.960000000000001e-06,
"loss": 0.2788,
"step": 7520
},
{
"epoch": 3.77,
"learning_rate": 4.94e-06,
"loss": 0.3503,
"step": 7530
},
{
"epoch": 3.77,
"learning_rate": 4.92e-06,
"loss": 0.429,
"step": 7540
},
{
"epoch": 3.77,
"learning_rate": 4.9000000000000005e-06,
"loss": 0.2884,
"step": 7550
},
{
"epoch": 3.78,
"learning_rate": 4.880000000000001e-06,
"loss": 0.4194,
"step": 7560
},
{
"epoch": 3.79,
"learning_rate": 4.86e-06,
"loss": 0.2595,
"step": 7570
},
{
"epoch": 3.79,
"learning_rate": 4.84e-06,
"loss": 0.3946,
"step": 7580
},
{
"epoch": 3.79,
"learning_rate": 4.8200000000000004e-06,
"loss": 0.3062,
"step": 7590
},
{
"epoch": 3.8,
"learning_rate": 4.800000000000001e-06,
"loss": 0.3616,
"step": 7600
},
{
"epoch": 3.81,
"learning_rate": 4.78e-06,
"loss": 0.3569,
"step": 7610
},
{
"epoch": 3.81,
"learning_rate": 4.76e-06,
"loss": 0.3033,
"step": 7620
},
{
"epoch": 3.81,
"learning_rate": 4.74e-06,
"loss": 0.3695,
"step": 7630
},
{
"epoch": 3.82,
"learning_rate": 4.7200000000000005e-06,
"loss": 0.2913,
"step": 7640
},
{
"epoch": 3.83,
"learning_rate": 4.7e-06,
"loss": 0.2956,
"step": 7650
},
{
"epoch": 3.83,
"learning_rate": 4.680000000000001e-06,
"loss": 0.4334,
"step": 7660
},
{
"epoch": 3.83,
"learning_rate": 4.66e-06,
"loss": 0.429,
"step": 7670
},
{
"epoch": 3.84,
"learning_rate": 4.6400000000000005e-06,
"loss": 0.2591,
"step": 7680
},
{
"epoch": 3.84,
"learning_rate": 4.620000000000001e-06,
"loss": 0.3912,
"step": 7690
},
{
"epoch": 3.85,
"learning_rate": 4.600000000000001e-06,
"loss": 0.5294,
"step": 7700
},
{
"epoch": 3.85,
"learning_rate": 4.58e-06,
"loss": 0.3006,
"step": 7710
},
{
"epoch": 3.86,
"learning_rate": 4.56e-06,
"loss": 0.2757,
"step": 7720
},
{
"epoch": 3.87,
"learning_rate": 4.540000000000001e-06,
"loss": 0.3146,
"step": 7730
},
{
"epoch": 3.87,
"learning_rate": 4.520000000000001e-06,
"loss": 0.4105,
"step": 7740
},
{
"epoch": 3.88,
"learning_rate": 4.5e-06,
"loss": 0.4373,
"step": 7750
},
{
"epoch": 3.88,
"learning_rate": 4.48e-06,
"loss": 0.3716,
"step": 7760
},
{
"epoch": 3.88,
"learning_rate": 4.4600000000000005e-06,
"loss": 0.5191,
"step": 7770
},
{
"epoch": 3.89,
"learning_rate": 4.440000000000001e-06,
"loss": 0.2644,
"step": 7780
},
{
"epoch": 3.9,
"learning_rate": 4.42e-06,
"loss": 0.3725,
"step": 7790
},
{
"epoch": 3.9,
"learning_rate": 4.4e-06,
"loss": 0.4628,
"step": 7800
},
{
"epoch": 3.91,
"learning_rate": 4.38e-06,
"loss": 0.393,
"step": 7810
},
{
"epoch": 3.91,
"learning_rate": 4.360000000000001e-06,
"loss": 0.3997,
"step": 7820
},
{
"epoch": 3.92,
"learning_rate": 4.34e-06,
"loss": 0.4044,
"step": 7830
},
{
"epoch": 3.92,
"learning_rate": 4.32e-06,
"loss": 0.4409,
"step": 7840
},
{
"epoch": 3.92,
"learning_rate": 4.3e-06,
"loss": 0.3767,
"step": 7850
},
{
"epoch": 3.93,
"learning_rate": 4.2800000000000005e-06,
"loss": 0.3694,
"step": 7860
},
{
"epoch": 3.94,
"learning_rate": 4.26e-06,
"loss": 0.3515,
"step": 7870
},
{
"epoch": 3.94,
"learning_rate": 4.24e-06,
"loss": 0.3994,
"step": 7880
},
{
"epoch": 3.94,
"learning_rate": 4.22e-06,
"loss": 0.333,
"step": 7890
},
{
"epoch": 3.95,
"learning_rate": 4.2000000000000004e-06,
"loss": 0.2682,
"step": 7900
},
{
"epoch": 3.96,
"learning_rate": 4.18e-06,
"loss": 0.3332,
"step": 7910
},
{
"epoch": 3.96,
"learning_rate": 4.16e-06,
"loss": 0.3456,
"step": 7920
},
{
"epoch": 3.96,
"learning_rate": 4.14e-06,
"loss": 0.4017,
"step": 7930
},
{
"epoch": 3.97,
"learning_rate": 4.12e-06,
"loss": 0.2923,
"step": 7940
},
{
"epoch": 3.98,
"learning_rate": 4.1e-06,
"loss": 0.3038,
"step": 7950
},
{
"epoch": 3.98,
"learning_rate": 4.08e-06,
"loss": 0.3672,
"step": 7960
},
{
"epoch": 3.98,
"learning_rate": 4.060000000000001e-06,
"loss": 0.4095,
"step": 7970
},
{
"epoch": 3.99,
"learning_rate": 4.04e-06,
"loss": 0.376,
"step": 7980
},
{
"epoch": 4.0,
"learning_rate": 4.0200000000000005e-06,
"loss": 0.3436,
"step": 7990
},
{
"epoch": 4.0,
"learning_rate": 4.000000000000001e-06,
"loss": 0.3819,
"step": 8000
},
{
"epoch": 4.0,
"eval_accuracy": 0.9100247963159759,
"eval_loss": 0.22746825218200684,
"eval_runtime": 11.9848,
"eval_samples_per_second": 235.548,
"eval_steps_per_second": 29.454,
"step": 8000
},
{
"epoch": 4.0,
"learning_rate": 3.980000000000001e-06,
"loss": 0.421,
"step": 8010
},
{
"epoch": 4.01,
"learning_rate": 3.96e-06,
"loss": 0.3546,
"step": 8020
},
{
"epoch": 4.01,
"learning_rate": 3.94e-06,
"loss": 0.3224,
"step": 8030
},
{
"epoch": 4.02,
"learning_rate": 3.920000000000001e-06,
"loss": 0.2738,
"step": 8040
},
{
"epoch": 4.03,
"learning_rate": 3.900000000000001e-06,
"loss": 0.3581,
"step": 8050
},
{
"epoch": 4.03,
"learning_rate": 3.88e-06,
"loss": 0.2254,
"step": 8060
},
{
"epoch": 4.04,
"learning_rate": 3.86e-06,
"loss": 0.3602,
"step": 8070
},
{
"epoch": 4.04,
"learning_rate": 3.8400000000000005e-06,
"loss": 0.3515,
"step": 8080
},
{
"epoch": 4.04,
"learning_rate": 3.820000000000001e-06,
"loss": 0.3209,
"step": 8090
},
{
"epoch": 4.05,
"learning_rate": 3.8000000000000005e-06,
"loss": 0.3708,
"step": 8100
},
{
"epoch": 4.05,
"learning_rate": 3.7800000000000002e-06,
"loss": 0.3035,
"step": 8110
},
{
"epoch": 4.06,
"learning_rate": 3.7600000000000004e-06,
"loss": 0.3209,
"step": 8120
},
{
"epoch": 4.07,
"learning_rate": 3.74e-06,
"loss": 0.3928,
"step": 8130
},
{
"epoch": 4.07,
"learning_rate": 3.7200000000000004e-06,
"loss": 0.3642,
"step": 8140
},
{
"epoch": 4.08,
"learning_rate": 3.7e-06,
"loss": 0.3093,
"step": 8150
},
{
"epoch": 4.08,
"learning_rate": 3.6800000000000003e-06,
"loss": 0.3347,
"step": 8160
},
{
"epoch": 4.08,
"learning_rate": 3.66e-06,
"loss": 0.2622,
"step": 8170
},
{
"epoch": 4.09,
"learning_rate": 3.6400000000000003e-06,
"loss": 0.2705,
"step": 8180
},
{
"epoch": 4.09,
"learning_rate": 3.62e-06,
"loss": 0.2752,
"step": 8190
},
{
"epoch": 4.1,
"learning_rate": 3.6000000000000003e-06,
"loss": 0.331,
"step": 8200
},
{
"epoch": 4.11,
"learning_rate": 3.58e-06,
"loss": 0.3249,
"step": 8210
},
{
"epoch": 4.11,
"learning_rate": 3.5600000000000002e-06,
"loss": 0.4114,
"step": 8220
},
{
"epoch": 4.12,
"learning_rate": 3.54e-06,
"loss": 0.4724,
"step": 8230
},
{
"epoch": 4.12,
"learning_rate": 3.52e-06,
"loss": 0.3165,
"step": 8240
},
{
"epoch": 4.12,
"learning_rate": 3.5e-06,
"loss": 0.3408,
"step": 8250
},
{
"epoch": 4.13,
"learning_rate": 3.48e-06,
"loss": 0.5024,
"step": 8260
},
{
"epoch": 4.13,
"learning_rate": 3.46e-06,
"loss": 0.3348,
"step": 8270
},
{
"epoch": 4.14,
"learning_rate": 3.44e-06,
"loss": 0.3261,
"step": 8280
},
{
"epoch": 4.14,
"learning_rate": 3.4200000000000007e-06,
"loss": 0.2399,
"step": 8290
},
{
"epoch": 4.15,
"learning_rate": 3.4000000000000005e-06,
"loss": 0.3624,
"step": 8300
},
{
"epoch": 4.16,
"learning_rate": 3.3800000000000007e-06,
"loss": 0.5088,
"step": 8310
},
{
"epoch": 4.16,
"learning_rate": 3.3600000000000004e-06,
"loss": 0.4345,
"step": 8320
},
{
"epoch": 4.17,
"learning_rate": 3.3400000000000006e-06,
"loss": 0.3422,
"step": 8330
},
{
"epoch": 4.17,
"learning_rate": 3.3200000000000004e-06,
"loss": 0.3658,
"step": 8340
},
{
"epoch": 4.17,
"learning_rate": 3.3000000000000006e-06,
"loss": 0.4656,
"step": 8350
},
{
"epoch": 4.18,
"learning_rate": 3.2800000000000004e-06,
"loss": 0.2924,
"step": 8360
},
{
"epoch": 4.18,
"learning_rate": 3.2600000000000006e-06,
"loss": 0.308,
"step": 8370
},
{
"epoch": 4.19,
"learning_rate": 3.2400000000000003e-06,
"loss": 0.4511,
"step": 8380
},
{
"epoch": 4.2,
"learning_rate": 3.2200000000000005e-06,
"loss": 0.3178,
"step": 8390
},
{
"epoch": 4.2,
"learning_rate": 3.2000000000000003e-06,
"loss": 0.5311,
"step": 8400
},
{
"epoch": 4.21,
"learning_rate": 3.1800000000000005e-06,
"loss": 0.426,
"step": 8410
},
{
"epoch": 4.21,
"learning_rate": 3.1600000000000002e-06,
"loss": 0.3695,
"step": 8420
},
{
"epoch": 4.21,
"learning_rate": 3.1400000000000004e-06,
"loss": 0.3946,
"step": 8430
},
{
"epoch": 4.22,
"learning_rate": 3.12e-06,
"loss": 0.2517,
"step": 8440
},
{
"epoch": 4.22,
"learning_rate": 3.1000000000000004e-06,
"loss": 0.4627,
"step": 8450
},
{
"epoch": 4.23,
"learning_rate": 3.08e-06,
"loss": 0.2384,
"step": 8460
},
{
"epoch": 4.24,
"learning_rate": 3.0600000000000003e-06,
"loss": 0.2364,
"step": 8470
},
{
"epoch": 4.24,
"learning_rate": 3.04e-06,
"loss": 0.315,
"step": 8480
},
{
"epoch": 4.25,
"learning_rate": 3.0200000000000003e-06,
"loss": 0.327,
"step": 8490
},
{
"epoch": 4.25,
"learning_rate": 3e-06,
"loss": 0.3416,
"step": 8500
},
{
"epoch": 4.25,
"learning_rate": 2.9800000000000003e-06,
"loss": 0.4286,
"step": 8510
},
{
"epoch": 4.26,
"learning_rate": 2.96e-06,
"loss": 0.2526,
"step": 8520
},
{
"epoch": 4.26,
"learning_rate": 2.9400000000000002e-06,
"loss": 0.2432,
"step": 8530
},
{
"epoch": 4.27,
"learning_rate": 2.92e-06,
"loss": 0.3154,
"step": 8540
},
{
"epoch": 4.28,
"learning_rate": 2.9e-06,
"loss": 0.1894,
"step": 8550
},
{
"epoch": 4.28,
"learning_rate": 2.88e-06,
"loss": 0.3152,
"step": 8560
},
{
"epoch": 4.29,
"learning_rate": 2.86e-06,
"loss": 0.4447,
"step": 8570
},
{
"epoch": 4.29,
"learning_rate": 2.84e-06,
"loss": 0.283,
"step": 8580
},
{
"epoch": 4.29,
"learning_rate": 2.82e-06,
"loss": 0.3148,
"step": 8590
},
{
"epoch": 4.3,
"learning_rate": 2.8000000000000003e-06,
"loss": 0.4559,
"step": 8600
},
{
"epoch": 4.3,
"learning_rate": 2.7800000000000005e-06,
"loss": 0.2617,
"step": 8610
},
{
"epoch": 4.31,
"learning_rate": 2.7600000000000003e-06,
"loss": 0.3346,
"step": 8620
},
{
"epoch": 4.32,
"learning_rate": 2.7400000000000004e-06,
"loss": 0.2664,
"step": 8630
},
{
"epoch": 4.32,
"learning_rate": 2.7200000000000002e-06,
"loss": 0.3194,
"step": 8640
},
{
"epoch": 4.33,
"learning_rate": 2.7000000000000004e-06,
"loss": 0.3718,
"step": 8650
},
{
"epoch": 4.33,
"learning_rate": 2.68e-06,
"loss": 0.2523,
"step": 8660
},
{
"epoch": 4.33,
"learning_rate": 2.6600000000000004e-06,
"loss": 0.333,
"step": 8670
},
{
"epoch": 4.34,
"learning_rate": 2.64e-06,
"loss": 0.5717,
"step": 8680
},
{
"epoch": 4.34,
"learning_rate": 2.6200000000000003e-06,
"loss": 0.3764,
"step": 8690
},
{
"epoch": 4.35,
"learning_rate": 2.6e-06,
"loss": 0.4653,
"step": 8700
},
{
"epoch": 4.36,
"learning_rate": 2.5800000000000003e-06,
"loss": 0.4164,
"step": 8710
},
{
"epoch": 4.36,
"learning_rate": 2.56e-06,
"loss": 0.4843,
"step": 8720
},
{
"epoch": 4.37,
"learning_rate": 2.5400000000000002e-06,
"loss": 0.2491,
"step": 8730
},
{
"epoch": 4.37,
"learning_rate": 2.52e-06,
"loss": 0.4553,
"step": 8740
},
{
"epoch": 4.38,
"learning_rate": 2.5e-06,
"loss": 0.4461,
"step": 8750
},
{
"epoch": 4.38,
"learning_rate": 2.4800000000000004e-06,
"loss": 0.457,
"step": 8760
},
{
"epoch": 4.38,
"learning_rate": 2.46e-06,
"loss": 0.3921,
"step": 8770
},
{
"epoch": 4.39,
"learning_rate": 2.4400000000000004e-06,
"loss": 0.5787,
"step": 8780
},
{
"epoch": 4.39,
"learning_rate": 2.42e-06,
"loss": 0.4045,
"step": 8790
},
{
"epoch": 4.4,
"learning_rate": 2.4000000000000003e-06,
"loss": 0.2649,
"step": 8800
},
{
"epoch": 4.41,
"learning_rate": 2.38e-06,
"loss": 0.3951,
"step": 8810
},
{
"epoch": 4.41,
"learning_rate": 2.3600000000000003e-06,
"loss": 0.3285,
"step": 8820
},
{
"epoch": 4.42,
"learning_rate": 2.3400000000000005e-06,
"loss": 0.3446,
"step": 8830
},
{
"epoch": 4.42,
"learning_rate": 2.3200000000000002e-06,
"loss": 0.2856,
"step": 8840
},
{
"epoch": 4.42,
"learning_rate": 2.3000000000000004e-06,
"loss": 0.2773,
"step": 8850
},
{
"epoch": 4.43,
"learning_rate": 2.28e-06,
"loss": 0.282,
"step": 8860
},
{
"epoch": 4.43,
"learning_rate": 2.2600000000000004e-06,
"loss": 0.4473,
"step": 8870
},
{
"epoch": 4.44,
"learning_rate": 2.24e-06,
"loss": 0.3314,
"step": 8880
},
{
"epoch": 4.45,
"learning_rate": 2.2200000000000003e-06,
"loss": 0.3704,
"step": 8890
},
{
"epoch": 4.45,
"learning_rate": 2.2e-06,
"loss": 0.3082,
"step": 8900
},
{
"epoch": 4.46,
"learning_rate": 2.1800000000000003e-06,
"loss": 0.3567,
"step": 8910
},
{
"epoch": 4.46,
"learning_rate": 2.16e-06,
"loss": 0.467,
"step": 8920
},
{
"epoch": 4.46,
"learning_rate": 2.1400000000000003e-06,
"loss": 0.4065,
"step": 8930
},
{
"epoch": 4.47,
"learning_rate": 2.12e-06,
"loss": 0.3587,
"step": 8940
},
{
"epoch": 4.47,
"learning_rate": 2.1000000000000002e-06,
"loss": 0.1997,
"step": 8950
},
{
"epoch": 4.48,
"learning_rate": 2.08e-06,
"loss": 0.3872,
"step": 8960
},
{
"epoch": 4.49,
"learning_rate": 2.06e-06,
"loss": 0.3959,
"step": 8970
},
{
"epoch": 4.49,
"learning_rate": 2.04e-06,
"loss": 0.2842,
"step": 8980
},
{
"epoch": 4.5,
"learning_rate": 2.02e-06,
"loss": 0.2899,
"step": 8990
},
{
"epoch": 4.5,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.3252,
"step": 9000
},
{
"epoch": 4.5,
"learning_rate": 1.98e-06,
"loss": 0.3935,
"step": 9010
},
{
"epoch": 4.51,
"learning_rate": 1.9600000000000003e-06,
"loss": 0.2214,
"step": 9020
},
{
"epoch": 4.51,
"learning_rate": 1.94e-06,
"loss": 0.2897,
"step": 9030
},
{
"epoch": 4.52,
"learning_rate": 1.9200000000000003e-06,
"loss": 0.371,
"step": 9040
},
{
"epoch": 4.53,
"learning_rate": 1.9000000000000002e-06,
"loss": 0.391,
"step": 9050
},
{
"epoch": 4.53,
"learning_rate": 1.8800000000000002e-06,
"loss": 0.3473,
"step": 9060
},
{
"epoch": 4.54,
"learning_rate": 1.8600000000000002e-06,
"loss": 0.3959,
"step": 9070
},
{
"epoch": 4.54,
"learning_rate": 1.8400000000000002e-06,
"loss": 0.3049,
"step": 9080
},
{
"epoch": 4.54,
"learning_rate": 1.8200000000000002e-06,
"loss": 0.3039,
"step": 9090
},
{
"epoch": 4.55,
"learning_rate": 1.8000000000000001e-06,
"loss": 0.3924,
"step": 9100
},
{
"epoch": 4.55,
"learning_rate": 1.7800000000000001e-06,
"loss": 0.3453,
"step": 9110
},
{
"epoch": 4.56,
"learning_rate": 1.76e-06,
"loss": 0.3879,
"step": 9120
},
{
"epoch": 4.56,
"learning_rate": 1.74e-06,
"loss": 0.2591,
"step": 9130
},
{
"epoch": 4.57,
"learning_rate": 1.72e-06,
"loss": 0.334,
"step": 9140
},
{
"epoch": 4.58,
"learning_rate": 1.7000000000000002e-06,
"loss": 0.291,
"step": 9150
},
{
"epoch": 4.58,
"learning_rate": 1.6800000000000002e-06,
"loss": 0.2824,
"step": 9160
},
{
"epoch": 4.58,
"learning_rate": 1.6600000000000002e-06,
"loss": 0.3436,
"step": 9170
},
{
"epoch": 4.59,
"learning_rate": 1.6400000000000002e-06,
"loss": 0.4787,
"step": 9180
},
{
"epoch": 4.59,
"learning_rate": 1.6200000000000002e-06,
"loss": 0.2834,
"step": 9190
},
{
"epoch": 4.6,
"learning_rate": 1.6000000000000001e-06,
"loss": 0.3493,
"step": 9200
},
{
"epoch": 4.61,
"learning_rate": 1.5800000000000001e-06,
"loss": 0.3324,
"step": 9210
},
{
"epoch": 4.61,
"learning_rate": 1.56e-06,
"loss": 0.4284,
"step": 9220
},
{
"epoch": 4.62,
"learning_rate": 1.54e-06,
"loss": 0.2592,
"step": 9230
},
{
"epoch": 4.62,
"learning_rate": 1.52e-06,
"loss": 0.3601,
"step": 9240
},
{
"epoch": 4.62,
"learning_rate": 1.5e-06,
"loss": 0.3911,
"step": 9250
},
{
"epoch": 4.63,
"learning_rate": 1.48e-06,
"loss": 0.3995,
"step": 9260
},
{
"epoch": 4.63,
"learning_rate": 1.46e-06,
"loss": 0.3506,
"step": 9270
},
{
"epoch": 4.64,
"learning_rate": 1.44e-06,
"loss": 0.3215,
"step": 9280
},
{
"epoch": 4.64,
"learning_rate": 1.42e-06,
"loss": 0.4489,
"step": 9290
},
{
"epoch": 4.65,
"learning_rate": 1.4000000000000001e-06,
"loss": 0.3886,
"step": 9300
},
{
"epoch": 4.66,
"learning_rate": 1.3800000000000001e-06,
"loss": 0.4151,
"step": 9310
},
{
"epoch": 4.66,
"learning_rate": 1.3600000000000001e-06,
"loss": 0.2327,
"step": 9320
},
{
"epoch": 4.67,
"learning_rate": 1.34e-06,
"loss": 0.3776,
"step": 9330
},
{
"epoch": 4.67,
"learning_rate": 1.32e-06,
"loss": 0.2364,
"step": 9340
},
{
"epoch": 4.67,
"learning_rate": 1.3e-06,
"loss": 0.3731,
"step": 9350
},
{
"epoch": 4.68,
"learning_rate": 1.28e-06,
"loss": 0.2075,
"step": 9360
},
{
"epoch": 4.69,
"learning_rate": 1.26e-06,
"loss": 0.2859,
"step": 9370
},
{
"epoch": 4.69,
"learning_rate": 1.2400000000000002e-06,
"loss": 0.4468,
"step": 9380
},
{
"epoch": 4.7,
"learning_rate": 1.2200000000000002e-06,
"loss": 0.4261,
"step": 9390
},
{
"epoch": 4.7,
"learning_rate": 1.2000000000000002e-06,
"loss": 0.3312,
"step": 9400
},
{
"epoch": 4.71,
"learning_rate": 1.1800000000000001e-06,
"loss": 0.245,
"step": 9410
},
{
"epoch": 4.71,
"learning_rate": 1.1600000000000001e-06,
"loss": 0.4722,
"step": 9420
},
{
"epoch": 4.71,
"learning_rate": 1.14e-06,
"loss": 0.3234,
"step": 9430
},
{
"epoch": 4.72,
"learning_rate": 1.12e-06,
"loss": 0.3657,
"step": 9440
},
{
"epoch": 4.72,
"learning_rate": 1.1e-06,
"loss": 0.3333,
"step": 9450
},
{
"epoch": 4.73,
"learning_rate": 1.08e-06,
"loss": 0.4043,
"step": 9460
},
{
"epoch": 4.74,
"learning_rate": 1.06e-06,
"loss": 0.3975,
"step": 9470
},
{
"epoch": 4.74,
"learning_rate": 1.04e-06,
"loss": 0.309,
"step": 9480
},
{
"epoch": 4.75,
"learning_rate": 1.02e-06,
"loss": 0.2178,
"step": 9490
},
{
"epoch": 4.75,
"learning_rate": 1.0000000000000002e-06,
"loss": 0.3706,
"step": 9500
},
{
"epoch": 4.75,
"learning_rate": 9.800000000000001e-07,
"loss": 0.3555,
"step": 9510
},
{
"epoch": 4.76,
"learning_rate": 9.600000000000001e-07,
"loss": 0.2577,
"step": 9520
},
{
"epoch": 4.76,
"learning_rate": 9.400000000000001e-07,
"loss": 0.3322,
"step": 9530
},
{
"epoch": 4.77,
"learning_rate": 9.200000000000001e-07,
"loss": 0.2272,
"step": 9540
},
{
"epoch": 4.78,
"learning_rate": 9.000000000000001e-07,
"loss": 0.3338,
"step": 9550
},
{
"epoch": 4.78,
"learning_rate": 8.8e-07,
"loss": 0.3833,
"step": 9560
},
{
"epoch": 4.79,
"learning_rate": 8.6e-07,
"loss": 0.3448,
"step": 9570
},
{
"epoch": 4.79,
"learning_rate": 8.400000000000001e-07,
"loss": 0.4303,
"step": 9580
},
{
"epoch": 4.79,
"learning_rate": 8.200000000000001e-07,
"loss": 0.223,
"step": 9590
},
{
"epoch": 4.8,
"learning_rate": 8.000000000000001e-07,
"loss": 0.3101,
"step": 9600
},
{
"epoch": 4.8,
"learning_rate": 7.8e-07,
"loss": 0.4332,
"step": 9610
},
{
"epoch": 4.81,
"learning_rate": 7.6e-07,
"loss": 0.2678,
"step": 9620
},
{
"epoch": 4.81,
"learning_rate": 7.4e-07,
"loss": 0.3285,
"step": 9630
},
{
"epoch": 4.82,
"learning_rate": 7.2e-07,
"loss": 0.3571,
"step": 9640
},
{
"epoch": 4.83,
"learning_rate": 7.000000000000001e-07,
"loss": 0.2149,
"step": 9650
},
{
"epoch": 4.83,
"learning_rate": 6.800000000000001e-07,
"loss": 0.4648,
"step": 9660
},
{
"epoch": 4.83,
"learning_rate": 6.6e-07,
"loss": 0.239,
"step": 9670
},
{
"epoch": 4.84,
"learning_rate": 6.4e-07,
"loss": 0.4276,
"step": 9680
},
{
"epoch": 4.84,
"learning_rate": 6.200000000000001e-07,
"loss": 0.1763,
"step": 9690
},
{
"epoch": 4.85,
"learning_rate": 6.000000000000001e-07,
"loss": 0.3054,
"step": 9700
},
{
"epoch": 4.86,
"learning_rate": 5.800000000000001e-07,
"loss": 0.2566,
"step": 9710
},
{
"epoch": 4.86,
"learning_rate": 5.6e-07,
"loss": 0.3284,
"step": 9720
},
{
"epoch": 4.87,
"learning_rate": 5.4e-07,
"loss": 0.3322,
"step": 9730
},
{
"epoch": 4.87,
"learning_rate": 5.2e-07,
"loss": 0.44,
"step": 9740
},
{
"epoch": 4.88,
"learning_rate": 5.000000000000001e-07,
"loss": 0.3967,
"step": 9750
},
{
"epoch": 4.88,
"learning_rate": 4.800000000000001e-07,
"loss": 0.2981,
"step": 9760
},
{
"epoch": 4.88,
"learning_rate": 4.6000000000000004e-07,
"loss": 0.2687,
"step": 9770
},
{
"epoch": 4.89,
"learning_rate": 4.4e-07,
"loss": 0.297,
"step": 9780
},
{
"epoch": 4.89,
"learning_rate": 4.2000000000000006e-07,
"loss": 0.3544,
"step": 9790
},
{
"epoch": 4.9,
"learning_rate": 4.0000000000000003e-07,
"loss": 0.3498,
"step": 9800
},
{
"epoch": 4.91,
"learning_rate": 3.8e-07,
"loss": 0.3002,
"step": 9810
},
{
"epoch": 4.91,
"learning_rate": 3.6e-07,
"loss": 0.4046,
"step": 9820
},
{
"epoch": 4.92,
"learning_rate": 3.4000000000000003e-07,
"loss": 0.3375,
"step": 9830
},
{
"epoch": 4.92,
"learning_rate": 3.2e-07,
"loss": 0.3961,
"step": 9840
},
{
"epoch": 4.92,
"learning_rate": 3.0000000000000004e-07,
"loss": 0.3055,
"step": 9850
},
{
"epoch": 4.93,
"learning_rate": 2.8e-07,
"loss": 0.2224,
"step": 9860
},
{
"epoch": 4.94,
"learning_rate": 2.6e-07,
"loss": 0.349,
"step": 9870
},
{
"epoch": 4.94,
"learning_rate": 2.4000000000000003e-07,
"loss": 0.1733,
"step": 9880
},
{
"epoch": 4.95,
"learning_rate": 2.2e-07,
"loss": 0.215,
"step": 9890
},
{
"epoch": 4.95,
"learning_rate": 2.0000000000000002e-07,
"loss": 0.4088,
"step": 9900
},
{
"epoch": 4.96,
"learning_rate": 1.8e-07,
"loss": 0.3428,
"step": 9910
},
{
"epoch": 4.96,
"learning_rate": 1.6e-07,
"loss": 0.2119,
"step": 9920
},
{
"epoch": 4.96,
"learning_rate": 1.4e-07,
"loss": 0.2488,
"step": 9930
},
{
"epoch": 4.97,
"learning_rate": 1.2000000000000002e-07,
"loss": 0.6147,
"step": 9940
},
{
"epoch": 4.97,
"learning_rate": 1.0000000000000001e-07,
"loss": 0.2948,
"step": 9950
},
{
"epoch": 4.98,
"learning_rate": 8e-08,
"loss": 0.2339,
"step": 9960
},
{
"epoch": 4.99,
"learning_rate": 6.000000000000001e-08,
"loss": 0.2891,
"step": 9970
},
{
"epoch": 4.99,
"learning_rate": 4e-08,
"loss": 0.3026,
"step": 9980
},
{
"epoch": 5.0,
"learning_rate": 2e-08,
"loss": 0.2569,
"step": 9990
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.3581,
"step": 10000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9107332624867163,
"eval_loss": 0.21704278886318207,
"eval_runtime": 12.0318,
"eval_samples_per_second": 234.628,
"eval_steps_per_second": 29.339,
"step": 10000
},
{
"epoch": 5.0,
"step": 10000,
"total_flos": 6.194773019299738e+18,
"train_loss": 0.4213516190290451,
"train_runtime": 1040.551,
"train_samples_per_second": 76.858,
"train_steps_per_second": 9.61
}
],
"max_steps": 10000,
"num_train_epochs": 5,
"total_flos": 6.194773019299738e+18,
"trial_name": null,
"trial_params": null
}