MeedoSam's picture
Uploaded checkpoint-6000
b34d051 verified
raw
history blame
89.4 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.151694459386767,
"eval_steps": 2000,
"global_step": 6000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"grad_norm": 5.21875,
"learning_rate": 3.0000000000000004e-08,
"loss": 1.4288,
"step": 10
},
{
"epoch": 0.01,
"grad_norm": 9.25,
"learning_rate": 6.000000000000001e-08,
"loss": 1.5985,
"step": 20
},
{
"epoch": 0.01,
"grad_norm": 6.90625,
"learning_rate": 9e-08,
"loss": 1.3356,
"step": 30
},
{
"epoch": 0.01,
"grad_norm": 5.0625,
"learning_rate": 1.2000000000000002e-07,
"loss": 1.3789,
"step": 40
},
{
"epoch": 0.02,
"grad_norm": 6.28125,
"learning_rate": 1.5000000000000002e-07,
"loss": 1.362,
"step": 50
},
{
"epoch": 0.02,
"grad_norm": 7.8125,
"learning_rate": 1.8e-07,
"loss": 1.3439,
"step": 60
},
{
"epoch": 0.03,
"grad_norm": 6.65625,
"learning_rate": 2.1000000000000003e-07,
"loss": 1.3946,
"step": 70
},
{
"epoch": 0.03,
"grad_norm": 5.5,
"learning_rate": 2.4000000000000003e-07,
"loss": 1.3411,
"step": 80
},
{
"epoch": 0.03,
"grad_norm": 6.3125,
"learning_rate": 2.7e-07,
"loss": 1.3421,
"step": 90
},
{
"epoch": 0.04,
"grad_norm": 5.96875,
"learning_rate": 3.0000000000000004e-07,
"loss": 1.4355,
"step": 100
},
{
"epoch": 0.04,
"grad_norm": 6.59375,
"learning_rate": 3.3e-07,
"loss": 1.5107,
"step": 110
},
{
"epoch": 0.04,
"grad_norm": 7.09375,
"learning_rate": 3.6e-07,
"loss": 1.2753,
"step": 120
},
{
"epoch": 0.05,
"grad_norm": 7.21875,
"learning_rate": 3.9e-07,
"loss": 1.3473,
"step": 130
},
{
"epoch": 0.05,
"grad_norm": 7.40625,
"learning_rate": 4.2000000000000006e-07,
"loss": 1.4292,
"step": 140
},
{
"epoch": 0.05,
"grad_norm": 7.875,
"learning_rate": 4.5e-07,
"loss": 1.4616,
"step": 150
},
{
"epoch": 0.06,
"grad_norm": 5.8125,
"learning_rate": 4.800000000000001e-07,
"loss": 1.3935,
"step": 160
},
{
"epoch": 0.06,
"grad_norm": 5.625,
"learning_rate": 5.100000000000001e-07,
"loss": 1.4381,
"step": 170
},
{
"epoch": 0.06,
"grad_norm": 7.21875,
"learning_rate": 5.4e-07,
"loss": 1.3679,
"step": 180
},
{
"epoch": 0.07,
"grad_norm": 7.375,
"learning_rate": 5.7e-07,
"loss": 1.4046,
"step": 190
},
{
"epoch": 0.07,
"grad_norm": 7.0,
"learning_rate": 6.000000000000001e-07,
"loss": 1.3214,
"step": 200
},
{
"epoch": 0.08,
"grad_norm": 6.59375,
"learning_rate": 6.3e-07,
"loss": 1.328,
"step": 210
},
{
"epoch": 0.08,
"grad_norm": 6.25,
"learning_rate": 6.6e-07,
"loss": 1.3994,
"step": 220
},
{
"epoch": 0.08,
"grad_norm": 7.375,
"learning_rate": 6.900000000000001e-07,
"loss": 1.3372,
"step": 230
},
{
"epoch": 0.09,
"grad_norm": 5.65625,
"learning_rate": 7.2e-07,
"loss": 1.4327,
"step": 240
},
{
"epoch": 0.09,
"grad_norm": 4.46875,
"learning_rate": 7.5e-07,
"loss": 1.3006,
"step": 250
},
{
"epoch": 0.09,
"grad_norm": 8.5625,
"learning_rate": 7.8e-07,
"loss": 1.4955,
"step": 260
},
{
"epoch": 0.1,
"grad_norm": 4.84375,
"learning_rate": 8.100000000000001e-07,
"loss": 1.2202,
"step": 270
},
{
"epoch": 0.1,
"grad_norm": 6.09375,
"learning_rate": 8.400000000000001e-07,
"loss": 1.3608,
"step": 280
},
{
"epoch": 0.1,
"grad_norm": 6.75,
"learning_rate": 8.699999999999999e-07,
"loss": 1.3799,
"step": 290
},
{
"epoch": 0.11,
"grad_norm": 5.09375,
"learning_rate": 9e-07,
"loss": 1.3552,
"step": 300
},
{
"epoch": 0.11,
"grad_norm": 5.90625,
"learning_rate": 9.3e-07,
"loss": 1.4482,
"step": 310
},
{
"epoch": 0.11,
"grad_norm": 4.53125,
"learning_rate": 9.600000000000001e-07,
"loss": 1.4208,
"step": 320
},
{
"epoch": 0.12,
"grad_norm": 6.09375,
"learning_rate": 9.9e-07,
"loss": 1.373,
"step": 330
},
{
"epoch": 0.12,
"grad_norm": 6.40625,
"learning_rate": 1.0200000000000002e-06,
"loss": 1.3638,
"step": 340
},
{
"epoch": 0.13,
"grad_norm": 4.875,
"learning_rate": 1.05e-06,
"loss": 1.4984,
"step": 350
},
{
"epoch": 0.13,
"grad_norm": 4.25,
"learning_rate": 1.08e-06,
"loss": 1.4193,
"step": 360
},
{
"epoch": 0.13,
"grad_norm": 7.5625,
"learning_rate": 1.11e-06,
"loss": 1.4644,
"step": 370
},
{
"epoch": 0.14,
"grad_norm": 3.625,
"learning_rate": 1.14e-06,
"loss": 1.2974,
"step": 380
},
{
"epoch": 0.14,
"grad_norm": 7.0,
"learning_rate": 1.17e-06,
"loss": 1.4013,
"step": 390
},
{
"epoch": 0.14,
"grad_norm": 5.1875,
"learning_rate": 1.2000000000000002e-06,
"loss": 1.5707,
"step": 400
},
{
"epoch": 0.15,
"grad_norm": 6.5,
"learning_rate": 1.2299999999999999e-06,
"loss": 1.4111,
"step": 410
},
{
"epoch": 0.15,
"grad_norm": 5.71875,
"learning_rate": 1.26e-06,
"loss": 1.3019,
"step": 420
},
{
"epoch": 0.15,
"grad_norm": 7.625,
"learning_rate": 1.29e-06,
"loss": 1.4128,
"step": 430
},
{
"epoch": 0.16,
"grad_norm": 5.15625,
"learning_rate": 1.32e-06,
"loss": 1.2438,
"step": 440
},
{
"epoch": 0.16,
"grad_norm": 5.25,
"learning_rate": 1.35e-06,
"loss": 1.3703,
"step": 450
},
{
"epoch": 0.16,
"grad_norm": 6.15625,
"learning_rate": 1.3800000000000001e-06,
"loss": 1.3877,
"step": 460
},
{
"epoch": 0.17,
"grad_norm": 4.6875,
"learning_rate": 1.41e-06,
"loss": 1.3418,
"step": 470
},
{
"epoch": 0.17,
"grad_norm": 7.09375,
"learning_rate": 1.44e-06,
"loss": 1.3734,
"step": 480
},
{
"epoch": 0.18,
"grad_norm": 3.34375,
"learning_rate": 1.4700000000000001e-06,
"loss": 1.3055,
"step": 490
},
{
"epoch": 0.18,
"grad_norm": 5.65625,
"learning_rate": 1.5e-06,
"loss": 1.4607,
"step": 500
},
{
"epoch": 0.18,
"grad_norm": 3.90625,
"learning_rate": 1.498421052631579e-06,
"loss": 1.3326,
"step": 510
},
{
"epoch": 0.19,
"grad_norm": 6.75,
"learning_rate": 1.4968421052631579e-06,
"loss": 1.3793,
"step": 520
},
{
"epoch": 0.19,
"grad_norm": 7.0625,
"learning_rate": 1.4952631578947368e-06,
"loss": 1.3474,
"step": 530
},
{
"epoch": 0.19,
"grad_norm": 5.15625,
"learning_rate": 1.4936842105263159e-06,
"loss": 1.3504,
"step": 540
},
{
"epoch": 0.2,
"grad_norm": 3.953125,
"learning_rate": 1.4921052631578948e-06,
"loss": 1.29,
"step": 550
},
{
"epoch": 0.2,
"grad_norm": 5.625,
"learning_rate": 1.4905263157894737e-06,
"loss": 1.3552,
"step": 560
},
{
"epoch": 0.2,
"grad_norm": 5.28125,
"learning_rate": 1.4889473684210526e-06,
"loss": 1.2646,
"step": 570
},
{
"epoch": 0.21,
"grad_norm": 5.15625,
"learning_rate": 1.4873684210526315e-06,
"loss": 1.2683,
"step": 580
},
{
"epoch": 0.21,
"grad_norm": 7.03125,
"learning_rate": 1.4857894736842106e-06,
"loss": 1.3948,
"step": 590
},
{
"epoch": 0.22,
"grad_norm": 7.0,
"learning_rate": 1.4842105263157895e-06,
"loss": 1.2919,
"step": 600
},
{
"epoch": 0.22,
"grad_norm": 5.15625,
"learning_rate": 1.4826315789473684e-06,
"loss": 1.3664,
"step": 610
},
{
"epoch": 0.22,
"grad_norm": 5.75,
"learning_rate": 1.4810526315789473e-06,
"loss": 1.3198,
"step": 620
},
{
"epoch": 0.23,
"grad_norm": 6.0625,
"learning_rate": 1.4794736842105265e-06,
"loss": 1.3457,
"step": 630
},
{
"epoch": 0.23,
"grad_norm": 6.28125,
"learning_rate": 1.4778947368421054e-06,
"loss": 1.2258,
"step": 640
},
{
"epoch": 0.23,
"grad_norm": 5.78125,
"learning_rate": 1.4763157894736843e-06,
"loss": 1.2654,
"step": 650
},
{
"epoch": 0.24,
"grad_norm": 4.5,
"learning_rate": 1.4747368421052632e-06,
"loss": 1.2623,
"step": 660
},
{
"epoch": 0.24,
"grad_norm": 3.8125,
"learning_rate": 1.473157894736842e-06,
"loss": 1.3726,
"step": 670
},
{
"epoch": 0.24,
"grad_norm": 4.46875,
"learning_rate": 1.4715789473684212e-06,
"loss": 1.2427,
"step": 680
},
{
"epoch": 0.25,
"grad_norm": 4.46875,
"learning_rate": 1.4700000000000001e-06,
"loss": 1.2959,
"step": 690
},
{
"epoch": 0.25,
"grad_norm": 6.09375,
"learning_rate": 1.468421052631579e-06,
"loss": 1.2209,
"step": 700
},
{
"epoch": 0.25,
"grad_norm": 4.84375,
"learning_rate": 1.466842105263158e-06,
"loss": 1.297,
"step": 710
},
{
"epoch": 0.26,
"grad_norm": 5.625,
"learning_rate": 1.4652631578947368e-06,
"loss": 1.3002,
"step": 720
},
{
"epoch": 0.26,
"grad_norm": 7.96875,
"learning_rate": 1.463684210526316e-06,
"loss": 1.3578,
"step": 730
},
{
"epoch": 0.27,
"grad_norm": 6.4375,
"learning_rate": 1.4621052631578946e-06,
"loss": 1.3381,
"step": 740
},
{
"epoch": 0.27,
"grad_norm": 6.25,
"learning_rate": 1.4605263157894738e-06,
"loss": 1.2755,
"step": 750
},
{
"epoch": 0.27,
"grad_norm": 5.28125,
"learning_rate": 1.4589473684210527e-06,
"loss": 1.3443,
"step": 760
},
{
"epoch": 0.28,
"grad_norm": 5.6875,
"learning_rate": 1.4573684210526316e-06,
"loss": 1.3165,
"step": 770
},
{
"epoch": 0.28,
"grad_norm": 5.125,
"learning_rate": 1.4557894736842105e-06,
"loss": 1.3626,
"step": 780
},
{
"epoch": 0.28,
"grad_norm": 6.625,
"learning_rate": 1.4542105263157894e-06,
"loss": 1.3729,
"step": 790
},
{
"epoch": 0.29,
"grad_norm": 5.125,
"learning_rate": 1.4526315789473685e-06,
"loss": 1.3209,
"step": 800
},
{
"epoch": 0.29,
"grad_norm": 5.96875,
"learning_rate": 1.4510526315789474e-06,
"loss": 1.2652,
"step": 810
},
{
"epoch": 0.29,
"grad_norm": 3.796875,
"learning_rate": 1.4494736842105263e-06,
"loss": 1.2958,
"step": 820
},
{
"epoch": 0.3,
"grad_norm": 6.84375,
"learning_rate": 1.4478947368421052e-06,
"loss": 1.271,
"step": 830
},
{
"epoch": 0.3,
"grad_norm": 3.5,
"learning_rate": 1.4463157894736844e-06,
"loss": 1.2985,
"step": 840
},
{
"epoch": 0.3,
"grad_norm": 4.6875,
"learning_rate": 1.4447368421052633e-06,
"loss": 1.3285,
"step": 850
},
{
"epoch": 0.31,
"grad_norm": 5.3125,
"learning_rate": 1.4431578947368422e-06,
"loss": 1.2987,
"step": 860
},
{
"epoch": 0.31,
"grad_norm": 4.8125,
"learning_rate": 1.441578947368421e-06,
"loss": 1.3378,
"step": 870
},
{
"epoch": 0.32,
"grad_norm": 5.875,
"learning_rate": 1.44e-06,
"loss": 1.2942,
"step": 880
},
{
"epoch": 0.32,
"grad_norm": 4.5625,
"learning_rate": 1.438421052631579e-06,
"loss": 1.259,
"step": 890
},
{
"epoch": 0.32,
"grad_norm": 4.34375,
"learning_rate": 1.436842105263158e-06,
"loss": 1.2991,
"step": 900
},
{
"epoch": 0.33,
"grad_norm": 4.9375,
"learning_rate": 1.435263157894737e-06,
"loss": 1.2565,
"step": 910
},
{
"epoch": 0.33,
"grad_norm": 5.4375,
"learning_rate": 1.4336842105263158e-06,
"loss": 1.1737,
"step": 920
},
{
"epoch": 0.33,
"grad_norm": 4.875,
"learning_rate": 1.4321052631578947e-06,
"loss": 1.2779,
"step": 930
},
{
"epoch": 0.34,
"grad_norm": 5.375,
"learning_rate": 1.4305263157894738e-06,
"loss": 1.3104,
"step": 940
},
{
"epoch": 0.34,
"grad_norm": 5.53125,
"learning_rate": 1.4289473684210525e-06,
"loss": 1.2818,
"step": 950
},
{
"epoch": 0.34,
"grad_norm": 4.40625,
"learning_rate": 1.4273684210526317e-06,
"loss": 1.3147,
"step": 960
},
{
"epoch": 0.35,
"grad_norm": 5.59375,
"learning_rate": 1.4257894736842106e-06,
"loss": 1.2595,
"step": 970
},
{
"epoch": 0.35,
"grad_norm": 6.125,
"learning_rate": 1.4242105263157895e-06,
"loss": 1.3695,
"step": 980
},
{
"epoch": 0.36,
"grad_norm": 5.96875,
"learning_rate": 1.4226315789473684e-06,
"loss": 1.1634,
"step": 990
},
{
"epoch": 0.36,
"grad_norm": 4.65625,
"learning_rate": 1.4210526315789473e-06,
"loss": 1.2587,
"step": 1000
},
{
"epoch": 0.36,
"grad_norm": 7.625,
"learning_rate": 1.4194736842105264e-06,
"loss": 1.2994,
"step": 1010
},
{
"epoch": 0.37,
"grad_norm": 4.9375,
"learning_rate": 1.4178947368421053e-06,
"loss": 1.3351,
"step": 1020
},
{
"epoch": 0.37,
"grad_norm": 5.21875,
"learning_rate": 1.4163157894736842e-06,
"loss": 1.2404,
"step": 1030
},
{
"epoch": 0.37,
"grad_norm": 6.0,
"learning_rate": 1.4147368421052631e-06,
"loss": 1.3211,
"step": 1040
},
{
"epoch": 0.38,
"grad_norm": 4.09375,
"learning_rate": 1.4131578947368422e-06,
"loss": 1.2811,
"step": 1050
},
{
"epoch": 0.38,
"grad_norm": 5.6875,
"learning_rate": 1.4115789473684211e-06,
"loss": 1.2131,
"step": 1060
},
{
"epoch": 0.38,
"grad_norm": 4.03125,
"learning_rate": 1.41e-06,
"loss": 1.1713,
"step": 1070
},
{
"epoch": 0.39,
"grad_norm": 4.46875,
"learning_rate": 1.408421052631579e-06,
"loss": 1.2058,
"step": 1080
},
{
"epoch": 0.39,
"grad_norm": 3.6875,
"learning_rate": 1.4068421052631579e-06,
"loss": 1.3375,
"step": 1090
},
{
"epoch": 0.39,
"grad_norm": 6.21875,
"learning_rate": 1.405263157894737e-06,
"loss": 1.3032,
"step": 1100
},
{
"epoch": 0.4,
"grad_norm": 3.359375,
"learning_rate": 1.4036842105263159e-06,
"loss": 1.3644,
"step": 1110
},
{
"epoch": 0.4,
"grad_norm": 5.65625,
"learning_rate": 1.4021052631578948e-06,
"loss": 1.2786,
"step": 1120
},
{
"epoch": 0.41,
"grad_norm": 5.8125,
"learning_rate": 1.4005263157894737e-06,
"loss": 1.2067,
"step": 1130
},
{
"epoch": 0.41,
"grad_norm": 3.90625,
"learning_rate": 1.3989473684210526e-06,
"loss": 1.3127,
"step": 1140
},
{
"epoch": 0.41,
"grad_norm": 4.0,
"learning_rate": 1.3973684210526317e-06,
"loss": 1.2442,
"step": 1150
},
{
"epoch": 0.42,
"grad_norm": 5.875,
"learning_rate": 1.3957894736842104e-06,
"loss": 1.2307,
"step": 1160
},
{
"epoch": 0.42,
"grad_norm": 4.4375,
"learning_rate": 1.3942105263157895e-06,
"loss": 1.2828,
"step": 1170
},
{
"epoch": 0.42,
"grad_norm": 4.28125,
"learning_rate": 1.3926315789473685e-06,
"loss": 1.2676,
"step": 1180
},
{
"epoch": 0.43,
"grad_norm": 5.1875,
"learning_rate": 1.3910526315789476e-06,
"loss": 1.1911,
"step": 1190
},
{
"epoch": 0.43,
"grad_norm": 4.40625,
"learning_rate": 1.3894736842105263e-06,
"loss": 1.3177,
"step": 1200
},
{
"epoch": 0.43,
"grad_norm": 5.40625,
"learning_rate": 1.3878947368421052e-06,
"loss": 1.2891,
"step": 1210
},
{
"epoch": 0.44,
"grad_norm": 4.90625,
"learning_rate": 1.3863157894736843e-06,
"loss": 1.303,
"step": 1220
},
{
"epoch": 0.44,
"grad_norm": 4.125,
"learning_rate": 1.3847368421052632e-06,
"loss": 1.2586,
"step": 1230
},
{
"epoch": 0.44,
"grad_norm": 6.8125,
"learning_rate": 1.383157894736842e-06,
"loss": 1.3141,
"step": 1240
},
{
"epoch": 0.45,
"grad_norm": 4.3125,
"learning_rate": 1.381578947368421e-06,
"loss": 1.2174,
"step": 1250
},
{
"epoch": 0.45,
"grad_norm": 4.625,
"learning_rate": 1.3800000000000001e-06,
"loss": 1.2609,
"step": 1260
},
{
"epoch": 0.46,
"grad_norm": 5.75,
"learning_rate": 1.378421052631579e-06,
"loss": 1.1323,
"step": 1270
},
{
"epoch": 0.46,
"grad_norm": 4.625,
"learning_rate": 1.376842105263158e-06,
"loss": 1.2328,
"step": 1280
},
{
"epoch": 0.46,
"grad_norm": 5.0625,
"learning_rate": 1.3752631578947368e-06,
"loss": 1.3087,
"step": 1290
},
{
"epoch": 0.47,
"grad_norm": 4.90625,
"learning_rate": 1.3736842105263158e-06,
"loss": 1.2428,
"step": 1300
},
{
"epoch": 0.47,
"grad_norm": 6.46875,
"learning_rate": 1.3721052631578949e-06,
"loss": 1.235,
"step": 1310
},
{
"epoch": 0.47,
"grad_norm": 5.46875,
"learning_rate": 1.3705263157894738e-06,
"loss": 1.2108,
"step": 1320
},
{
"epoch": 0.48,
"grad_norm": 4.875,
"learning_rate": 1.3689473684210527e-06,
"loss": 1.1704,
"step": 1330
},
{
"epoch": 0.48,
"grad_norm": 4.625,
"learning_rate": 1.3673684210526316e-06,
"loss": 1.3411,
"step": 1340
},
{
"epoch": 0.48,
"grad_norm": 5.4375,
"learning_rate": 1.3657894736842107e-06,
"loss": 1.239,
"step": 1350
},
{
"epoch": 0.49,
"grad_norm": 4.1875,
"learning_rate": 1.3642105263157896e-06,
"loss": 1.1661,
"step": 1360
},
{
"epoch": 0.49,
"grad_norm": 4.4375,
"learning_rate": 1.3626315789473683e-06,
"loss": 1.338,
"step": 1370
},
{
"epoch": 0.49,
"grad_norm": 5.0625,
"learning_rate": 1.3610526315789474e-06,
"loss": 1.2926,
"step": 1380
},
{
"epoch": 0.5,
"grad_norm": 2.875,
"learning_rate": 1.3594736842105263e-06,
"loss": 1.2866,
"step": 1390
},
{
"epoch": 0.5,
"grad_norm": 4.96875,
"learning_rate": 1.3578947368421055e-06,
"loss": 1.3333,
"step": 1400
},
{
"epoch": 0.51,
"grad_norm": 6.53125,
"learning_rate": 1.3563157894736842e-06,
"loss": 1.2472,
"step": 1410
},
{
"epoch": 0.51,
"grad_norm": 3.390625,
"learning_rate": 1.3547368421052633e-06,
"loss": 1.1796,
"step": 1420
},
{
"epoch": 0.51,
"grad_norm": 6.125,
"learning_rate": 1.3531578947368422e-06,
"loss": 1.321,
"step": 1430
},
{
"epoch": 0.52,
"grad_norm": 4.5625,
"learning_rate": 1.351578947368421e-06,
"loss": 1.2529,
"step": 1440
},
{
"epoch": 0.52,
"grad_norm": 5.40625,
"learning_rate": 1.35e-06,
"loss": 1.2682,
"step": 1450
},
{
"epoch": 0.52,
"grad_norm": 4.84375,
"learning_rate": 1.348421052631579e-06,
"loss": 1.358,
"step": 1460
},
{
"epoch": 0.53,
"grad_norm": 5.21875,
"learning_rate": 1.346842105263158e-06,
"loss": 1.3318,
"step": 1470
},
{
"epoch": 0.53,
"grad_norm": 5.65625,
"learning_rate": 1.345263157894737e-06,
"loss": 1.2531,
"step": 1480
},
{
"epoch": 0.53,
"grad_norm": 5.46875,
"learning_rate": 1.3436842105263158e-06,
"loss": 1.2796,
"step": 1490
},
{
"epoch": 0.54,
"grad_norm": 3.203125,
"learning_rate": 1.3421052631578947e-06,
"loss": 1.2315,
"step": 1500
},
{
"epoch": 0.54,
"grad_norm": 4.71875,
"learning_rate": 1.3405263157894736e-06,
"loss": 1.2501,
"step": 1510
},
{
"epoch": 0.55,
"grad_norm": 5.03125,
"learning_rate": 1.3389473684210528e-06,
"loss": 1.3444,
"step": 1520
},
{
"epoch": 0.55,
"grad_norm": 6.3125,
"learning_rate": 1.3373684210526317e-06,
"loss": 1.2065,
"step": 1530
},
{
"epoch": 0.55,
"grad_norm": 4.59375,
"learning_rate": 1.3357894736842106e-06,
"loss": 1.3091,
"step": 1540
},
{
"epoch": 0.56,
"grad_norm": 4.625,
"learning_rate": 1.3342105263157895e-06,
"loss": 1.1932,
"step": 1550
},
{
"epoch": 0.56,
"grad_norm": 3.859375,
"learning_rate": 1.3326315789473686e-06,
"loss": 1.1837,
"step": 1560
},
{
"epoch": 0.56,
"grad_norm": 5.40625,
"learning_rate": 1.3310526315789475e-06,
"loss": 1.1756,
"step": 1570
},
{
"epoch": 0.57,
"grad_norm": 4.65625,
"learning_rate": 1.3294736842105262e-06,
"loss": 1.3163,
"step": 1580
},
{
"epoch": 0.57,
"grad_norm": 3.921875,
"learning_rate": 1.3278947368421053e-06,
"loss": 1.1937,
"step": 1590
},
{
"epoch": 0.57,
"grad_norm": 4.4375,
"learning_rate": 1.3263157894736842e-06,
"loss": 1.3058,
"step": 1600
},
{
"epoch": 0.58,
"grad_norm": 3.609375,
"learning_rate": 1.3247368421052633e-06,
"loss": 1.2718,
"step": 1610
},
{
"epoch": 0.58,
"grad_norm": 4.875,
"learning_rate": 1.323157894736842e-06,
"loss": 1.2027,
"step": 1620
},
{
"epoch": 0.58,
"grad_norm": 6.15625,
"learning_rate": 1.3215789473684212e-06,
"loss": 1.2548,
"step": 1630
},
{
"epoch": 0.59,
"grad_norm": 5.875,
"learning_rate": 1.32e-06,
"loss": 1.3534,
"step": 1640
},
{
"epoch": 0.59,
"grad_norm": 4.125,
"learning_rate": 1.318421052631579e-06,
"loss": 1.2223,
"step": 1650
},
{
"epoch": 0.6,
"grad_norm": 4.875,
"learning_rate": 1.3168421052631579e-06,
"loss": 1.2684,
"step": 1660
},
{
"epoch": 0.6,
"grad_norm": 5.5625,
"learning_rate": 1.3152631578947368e-06,
"loss": 1.2611,
"step": 1670
},
{
"epoch": 0.6,
"grad_norm": 4.71875,
"learning_rate": 1.313684210526316e-06,
"loss": 1.3116,
"step": 1680
},
{
"epoch": 0.61,
"grad_norm": 5.5,
"learning_rate": 1.3121052631578948e-06,
"loss": 1.303,
"step": 1690
},
{
"epoch": 0.61,
"grad_norm": 4.46875,
"learning_rate": 1.3105263157894737e-06,
"loss": 1.2399,
"step": 1700
},
{
"epoch": 0.61,
"grad_norm": 4.03125,
"learning_rate": 1.3089473684210526e-06,
"loss": 1.2954,
"step": 1710
},
{
"epoch": 0.62,
"grad_norm": 5.125,
"learning_rate": 1.3073684210526315e-06,
"loss": 1.2689,
"step": 1720
},
{
"epoch": 0.62,
"grad_norm": 5.625,
"learning_rate": 1.3057894736842107e-06,
"loss": 1.3605,
"step": 1730
},
{
"epoch": 0.62,
"grad_norm": 4.125,
"learning_rate": 1.3042105263157896e-06,
"loss": 1.2873,
"step": 1740
},
{
"epoch": 0.63,
"grad_norm": 5.5,
"learning_rate": 1.3026315789473685e-06,
"loss": 1.2686,
"step": 1750
},
{
"epoch": 0.63,
"grad_norm": 5.5625,
"learning_rate": 1.3010526315789474e-06,
"loss": 1.244,
"step": 1760
},
{
"epoch": 0.63,
"grad_norm": 4.3125,
"learning_rate": 1.2994736842105265e-06,
"loss": 1.2044,
"step": 1770
},
{
"epoch": 0.64,
"grad_norm": 3.5625,
"learning_rate": 1.2978947368421054e-06,
"loss": 1.2026,
"step": 1780
},
{
"epoch": 0.64,
"grad_norm": 5.4375,
"learning_rate": 1.296315789473684e-06,
"loss": 1.306,
"step": 1790
},
{
"epoch": 0.65,
"grad_norm": 4.125,
"learning_rate": 1.2947368421052632e-06,
"loss": 1.2968,
"step": 1800
},
{
"epoch": 0.65,
"grad_norm": 6.75,
"learning_rate": 1.2931578947368421e-06,
"loss": 1.2308,
"step": 1810
},
{
"epoch": 0.65,
"grad_norm": 5.9375,
"learning_rate": 1.2915789473684212e-06,
"loss": 1.3022,
"step": 1820
},
{
"epoch": 0.66,
"grad_norm": 6.34375,
"learning_rate": 1.29e-06,
"loss": 1.2298,
"step": 1830
},
{
"epoch": 0.66,
"grad_norm": 4.8125,
"learning_rate": 1.288421052631579e-06,
"loss": 1.1421,
"step": 1840
},
{
"epoch": 0.66,
"grad_norm": 5.0,
"learning_rate": 1.286842105263158e-06,
"loss": 1.2018,
"step": 1850
},
{
"epoch": 0.67,
"grad_norm": 5.84375,
"learning_rate": 1.2852631578947369e-06,
"loss": 1.2329,
"step": 1860
},
{
"epoch": 0.67,
"grad_norm": 5.375,
"learning_rate": 1.2836842105263158e-06,
"loss": 1.2509,
"step": 1870
},
{
"epoch": 0.67,
"grad_norm": 4.34375,
"learning_rate": 1.2821052631578947e-06,
"loss": 1.2556,
"step": 1880
},
{
"epoch": 0.68,
"grad_norm": 4.90625,
"learning_rate": 1.2805263157894738e-06,
"loss": 1.3504,
"step": 1890
},
{
"epoch": 0.68,
"grad_norm": 5.1875,
"learning_rate": 1.2789473684210527e-06,
"loss": 1.1525,
"step": 1900
},
{
"epoch": 0.68,
"grad_norm": 5.71875,
"learning_rate": 1.2773684210526316e-06,
"loss": 1.2227,
"step": 1910
},
{
"epoch": 0.69,
"grad_norm": 3.65625,
"learning_rate": 1.2757894736842105e-06,
"loss": 1.2962,
"step": 1920
},
{
"epoch": 0.69,
"grad_norm": 3.765625,
"learning_rate": 1.2742105263157894e-06,
"loss": 1.1717,
"step": 1930
},
{
"epoch": 0.7,
"grad_norm": 6.65625,
"learning_rate": 1.2726315789473685e-06,
"loss": 1.2543,
"step": 1940
},
{
"epoch": 0.7,
"grad_norm": 3.984375,
"learning_rate": 1.2710526315789474e-06,
"loss": 1.2092,
"step": 1950
},
{
"epoch": 0.7,
"grad_norm": 4.9375,
"learning_rate": 1.2694736842105264e-06,
"loss": 1.1855,
"step": 1960
},
{
"epoch": 0.71,
"grad_norm": 4.3125,
"learning_rate": 1.2678947368421053e-06,
"loss": 1.2698,
"step": 1970
},
{
"epoch": 0.71,
"grad_norm": 5.625,
"learning_rate": 1.2663157894736844e-06,
"loss": 1.2615,
"step": 1980
},
{
"epoch": 0.71,
"grad_norm": 4.59375,
"learning_rate": 1.2647368421052633e-06,
"loss": 1.2156,
"step": 1990
},
{
"epoch": 0.72,
"grad_norm": 6.875,
"learning_rate": 1.263157894736842e-06,
"loss": 1.2328,
"step": 2000
},
{
"epoch": 0.72,
"eval_loss": 1.3270684480667114,
"eval_runtime": 64.5706,
"eval_samples_per_second": 15.487,
"eval_steps_per_second": 15.487,
"step": 2000
},
{
"epoch": 0.72,
"grad_norm": 5.4375,
"learning_rate": 1.261578947368421e-06,
"loss": 1.1687,
"step": 2010
},
{
"epoch": 0.72,
"grad_norm": 5.15625,
"learning_rate": 1.26e-06,
"loss": 1.2967,
"step": 2020
},
{
"epoch": 0.73,
"grad_norm": 5.21875,
"learning_rate": 1.2584210526315791e-06,
"loss": 1.2625,
"step": 2030
},
{
"epoch": 0.73,
"grad_norm": 4.5625,
"learning_rate": 1.2568421052631578e-06,
"loss": 1.2231,
"step": 2040
},
{
"epoch": 0.74,
"grad_norm": 6.21875,
"learning_rate": 1.255263157894737e-06,
"loss": 1.2561,
"step": 2050
},
{
"epoch": 0.74,
"grad_norm": 5.4375,
"learning_rate": 1.2536842105263158e-06,
"loss": 1.1732,
"step": 2060
},
{
"epoch": 0.74,
"grad_norm": 3.21875,
"learning_rate": 1.2521052631578948e-06,
"loss": 1.1991,
"step": 2070
},
{
"epoch": 0.75,
"grad_norm": 4.40625,
"learning_rate": 1.2505263157894737e-06,
"loss": 1.2405,
"step": 2080
},
{
"epoch": 0.75,
"grad_norm": 3.921875,
"learning_rate": 1.2489473684210526e-06,
"loss": 1.2658,
"step": 2090
},
{
"epoch": 0.75,
"grad_norm": 5.46875,
"learning_rate": 1.2473684210526317e-06,
"loss": 1.214,
"step": 2100
},
{
"epoch": 0.76,
"grad_norm": 4.375,
"learning_rate": 1.2457894736842106e-06,
"loss": 1.2522,
"step": 2110
},
{
"epoch": 0.76,
"grad_norm": 3.140625,
"learning_rate": 1.2442105263157895e-06,
"loss": 1.2873,
"step": 2120
},
{
"epoch": 0.76,
"grad_norm": 4.71875,
"learning_rate": 1.2426315789473684e-06,
"loss": 1.2513,
"step": 2130
},
{
"epoch": 0.77,
"grad_norm": 5.6875,
"learning_rate": 1.2410526315789473e-06,
"loss": 1.2378,
"step": 2140
},
{
"epoch": 0.77,
"grad_norm": 3.859375,
"learning_rate": 1.2394736842105264e-06,
"loss": 1.2217,
"step": 2150
},
{
"epoch": 0.77,
"grad_norm": 5.65625,
"learning_rate": 1.2378947368421053e-06,
"loss": 1.1462,
"step": 2160
},
{
"epoch": 0.78,
"grad_norm": 5.0625,
"learning_rate": 1.2363157894736842e-06,
"loss": 1.2306,
"step": 2170
},
{
"epoch": 0.78,
"grad_norm": 4.09375,
"learning_rate": 1.2347368421052631e-06,
"loss": 1.2744,
"step": 2180
},
{
"epoch": 0.79,
"grad_norm": 5.09375,
"learning_rate": 1.2331578947368423e-06,
"loss": 1.1246,
"step": 2190
},
{
"epoch": 0.79,
"grad_norm": 5.40625,
"learning_rate": 1.2315789473684212e-06,
"loss": 1.2965,
"step": 2200
},
{
"epoch": 0.79,
"grad_norm": 5.875,
"learning_rate": 1.2299999999999999e-06,
"loss": 1.1981,
"step": 2210
},
{
"epoch": 0.8,
"grad_norm": 4.78125,
"learning_rate": 1.228421052631579e-06,
"loss": 1.1496,
"step": 2220
},
{
"epoch": 0.8,
"grad_norm": 5.03125,
"learning_rate": 1.226842105263158e-06,
"loss": 1.2732,
"step": 2230
},
{
"epoch": 0.8,
"grad_norm": 3.4375,
"learning_rate": 1.225263157894737e-06,
"loss": 1.2618,
"step": 2240
},
{
"epoch": 0.81,
"grad_norm": 4.125,
"learning_rate": 1.2236842105263157e-06,
"loss": 1.1922,
"step": 2250
},
{
"epoch": 0.81,
"grad_norm": 4.9375,
"learning_rate": 1.2221052631578948e-06,
"loss": 1.1998,
"step": 2260
},
{
"epoch": 0.81,
"grad_norm": 3.953125,
"learning_rate": 1.2205263157894737e-06,
"loss": 1.237,
"step": 2270
},
{
"epoch": 0.82,
"grad_norm": 5.84375,
"learning_rate": 1.2189473684210526e-06,
"loss": 1.2583,
"step": 2280
},
{
"epoch": 0.82,
"grad_norm": 6.15625,
"learning_rate": 1.2173684210526315e-06,
"loss": 1.2544,
"step": 2290
},
{
"epoch": 0.82,
"grad_norm": 4.03125,
"learning_rate": 1.2157894736842105e-06,
"loss": 1.3154,
"step": 2300
},
{
"epoch": 0.83,
"grad_norm": 4.90625,
"learning_rate": 1.2142105263157896e-06,
"loss": 1.248,
"step": 2310
},
{
"epoch": 0.83,
"grad_norm": 6.5,
"learning_rate": 1.2126315789473685e-06,
"loss": 1.2039,
"step": 2320
},
{
"epoch": 0.84,
"grad_norm": 3.796875,
"learning_rate": 1.2110526315789474e-06,
"loss": 1.328,
"step": 2330
},
{
"epoch": 0.84,
"grad_norm": 6.0625,
"learning_rate": 1.2094736842105263e-06,
"loss": 1.2407,
"step": 2340
},
{
"epoch": 0.84,
"grad_norm": 5.5625,
"learning_rate": 1.2078947368421052e-06,
"loss": 1.1751,
"step": 2350
},
{
"epoch": 0.85,
"grad_norm": 3.828125,
"learning_rate": 1.2063157894736843e-06,
"loss": 1.2525,
"step": 2360
},
{
"epoch": 0.85,
"grad_norm": 4.65625,
"learning_rate": 1.2047368421052632e-06,
"loss": 1.2554,
"step": 2370
},
{
"epoch": 0.85,
"grad_norm": 6.03125,
"learning_rate": 1.2031578947368421e-06,
"loss": 1.2803,
"step": 2380
},
{
"epoch": 0.86,
"grad_norm": 3.59375,
"learning_rate": 1.201578947368421e-06,
"loss": 1.1723,
"step": 2390
},
{
"epoch": 0.86,
"grad_norm": 6.65625,
"learning_rate": 1.2000000000000002e-06,
"loss": 1.2068,
"step": 2400
},
{
"epoch": 0.86,
"grad_norm": 5.5625,
"learning_rate": 1.198421052631579e-06,
"loss": 1.2599,
"step": 2410
},
{
"epoch": 0.87,
"grad_norm": 4.4375,
"learning_rate": 1.1968421052631578e-06,
"loss": 1.327,
"step": 2420
},
{
"epoch": 0.87,
"grad_norm": 4.53125,
"learning_rate": 1.1952631578947369e-06,
"loss": 1.1712,
"step": 2430
},
{
"epoch": 0.88,
"grad_norm": 4.96875,
"learning_rate": 1.1936842105263158e-06,
"loss": 1.303,
"step": 2440
},
{
"epoch": 0.88,
"grad_norm": 4.5,
"learning_rate": 1.192105263157895e-06,
"loss": 1.2574,
"step": 2450
},
{
"epoch": 0.88,
"grad_norm": 6.90625,
"learning_rate": 1.1905263157894736e-06,
"loss": 1.3576,
"step": 2460
},
{
"epoch": 0.89,
"grad_norm": 6.21875,
"learning_rate": 1.1889473684210527e-06,
"loss": 1.2322,
"step": 2470
},
{
"epoch": 0.89,
"grad_norm": 4.78125,
"learning_rate": 1.1873684210526316e-06,
"loss": 1.2198,
"step": 2480
},
{
"epoch": 0.89,
"grad_norm": 4.9375,
"learning_rate": 1.1857894736842105e-06,
"loss": 1.2068,
"step": 2490
},
{
"epoch": 0.9,
"grad_norm": 5.6875,
"learning_rate": 1.1842105263157894e-06,
"loss": 1.2278,
"step": 2500
},
{
"epoch": 0.9,
"grad_norm": 4.46875,
"learning_rate": 1.1826315789473683e-06,
"loss": 1.2847,
"step": 2510
},
{
"epoch": 0.9,
"grad_norm": 5.34375,
"learning_rate": 1.1810526315789475e-06,
"loss": 1.1646,
"step": 2520
},
{
"epoch": 0.91,
"grad_norm": 4.09375,
"learning_rate": 1.1794736842105264e-06,
"loss": 1.201,
"step": 2530
},
{
"epoch": 0.91,
"grad_norm": 6.34375,
"learning_rate": 1.1778947368421053e-06,
"loss": 1.1445,
"step": 2540
},
{
"epoch": 0.91,
"grad_norm": 4.3125,
"learning_rate": 1.1763157894736842e-06,
"loss": 1.2555,
"step": 2550
},
{
"epoch": 0.92,
"grad_norm": 4.125,
"learning_rate": 1.174736842105263e-06,
"loss": 1.1944,
"step": 2560
},
{
"epoch": 0.92,
"grad_norm": 4.65625,
"learning_rate": 1.1731578947368422e-06,
"loss": 1.1288,
"step": 2570
},
{
"epoch": 0.93,
"grad_norm": 4.9375,
"learning_rate": 1.1715789473684211e-06,
"loss": 1.2126,
"step": 2580
},
{
"epoch": 0.93,
"grad_norm": 4.3125,
"learning_rate": 1.17e-06,
"loss": 1.3395,
"step": 2590
},
{
"epoch": 0.93,
"grad_norm": 4.875,
"learning_rate": 1.168421052631579e-06,
"loss": 1.1955,
"step": 2600
},
{
"epoch": 0.94,
"grad_norm": 4.40625,
"learning_rate": 1.166842105263158e-06,
"loss": 1.1931,
"step": 2610
},
{
"epoch": 0.94,
"grad_norm": 4.96875,
"learning_rate": 1.165263157894737e-06,
"loss": 1.2561,
"step": 2620
},
{
"epoch": 0.94,
"grad_norm": 4.0625,
"learning_rate": 1.1636842105263156e-06,
"loss": 1.2339,
"step": 2630
},
{
"epoch": 0.95,
"grad_norm": 5.53125,
"learning_rate": 1.1621052631578948e-06,
"loss": 1.1738,
"step": 2640
},
{
"epoch": 0.95,
"grad_norm": 4.28125,
"learning_rate": 1.1605263157894737e-06,
"loss": 1.1535,
"step": 2650
},
{
"epoch": 0.95,
"grad_norm": 3.703125,
"learning_rate": 1.1589473684210528e-06,
"loss": 1.2578,
"step": 2660
},
{
"epoch": 0.96,
"grad_norm": 5.1875,
"learning_rate": 1.1573684210526315e-06,
"loss": 1.229,
"step": 2670
},
{
"epoch": 0.96,
"grad_norm": 3.859375,
"learning_rate": 1.1557894736842106e-06,
"loss": 1.2044,
"step": 2680
},
{
"epoch": 0.96,
"grad_norm": 6.0,
"learning_rate": 1.1542105263157895e-06,
"loss": 1.1518,
"step": 2690
},
{
"epoch": 0.97,
"grad_norm": 4.625,
"learning_rate": 1.1526315789473684e-06,
"loss": 1.1951,
"step": 2700
},
{
"epoch": 0.97,
"grad_norm": 4.375,
"learning_rate": 1.1510526315789473e-06,
"loss": 1.2361,
"step": 2710
},
{
"epoch": 0.98,
"grad_norm": 5.125,
"learning_rate": 1.1494736842105262e-06,
"loss": 1.2218,
"step": 2720
},
{
"epoch": 0.98,
"grad_norm": 4.4375,
"learning_rate": 1.1478947368421054e-06,
"loss": 1.1337,
"step": 2730
},
{
"epoch": 0.98,
"grad_norm": 5.21875,
"learning_rate": 1.1463157894736843e-06,
"loss": 1.2582,
"step": 2740
},
{
"epoch": 0.99,
"grad_norm": 3.34375,
"learning_rate": 1.1447368421052632e-06,
"loss": 1.2717,
"step": 2750
},
{
"epoch": 0.99,
"grad_norm": 4.28125,
"learning_rate": 1.143157894736842e-06,
"loss": 1.2379,
"step": 2760
},
{
"epoch": 0.99,
"grad_norm": 3.8125,
"learning_rate": 1.141578947368421e-06,
"loss": 1.1829,
"step": 2770
},
{
"epoch": 1.0,
"grad_norm": 5.625,
"learning_rate": 1.14e-06,
"loss": 1.3186,
"step": 2780
},
{
"epoch": 1.0,
"grad_norm": 5.96875,
"learning_rate": 1.138421052631579e-06,
"loss": 1.1503,
"step": 2790
},
{
"epoch": 1.0,
"grad_norm": 4.03125,
"learning_rate": 1.136842105263158e-06,
"loss": 1.347,
"step": 2800
},
{
"epoch": 1.01,
"grad_norm": 5.53125,
"learning_rate": 1.1352631578947368e-06,
"loss": 1.187,
"step": 2810
},
{
"epoch": 1.01,
"grad_norm": 6.09375,
"learning_rate": 1.133684210526316e-06,
"loss": 1.2084,
"step": 2820
},
{
"epoch": 1.01,
"grad_norm": 5.1875,
"learning_rate": 1.1321052631578948e-06,
"loss": 1.1274,
"step": 2830
},
{
"epoch": 1.02,
"grad_norm": 4.375,
"learning_rate": 1.1305263157894735e-06,
"loss": 1.2603,
"step": 2840
},
{
"epoch": 1.02,
"grad_norm": 3.5,
"learning_rate": 1.1289473684210527e-06,
"loss": 1.2914,
"step": 2850
},
{
"epoch": 1.03,
"grad_norm": 4.03125,
"learning_rate": 1.1273684210526316e-06,
"loss": 1.2076,
"step": 2860
},
{
"epoch": 1.03,
"grad_norm": 5.96875,
"learning_rate": 1.1257894736842107e-06,
"loss": 1.3274,
"step": 2870
},
{
"epoch": 1.03,
"grad_norm": 4.40625,
"learning_rate": 1.1242105263157894e-06,
"loss": 1.3251,
"step": 2880
},
{
"epoch": 1.04,
"grad_norm": 5.59375,
"learning_rate": 1.1226315789473685e-06,
"loss": 1.16,
"step": 2890
},
{
"epoch": 1.04,
"grad_norm": 5.71875,
"learning_rate": 1.1210526315789474e-06,
"loss": 1.2715,
"step": 2900
},
{
"epoch": 1.04,
"grad_norm": 4.1875,
"learning_rate": 1.1194736842105265e-06,
"loss": 1.2301,
"step": 2910
},
{
"epoch": 1.05,
"grad_norm": 4.46875,
"learning_rate": 1.1178947368421052e-06,
"loss": 1.2531,
"step": 2920
},
{
"epoch": 1.05,
"grad_norm": 7.25,
"learning_rate": 1.1163157894736841e-06,
"loss": 1.2059,
"step": 2930
},
{
"epoch": 1.05,
"grad_norm": 5.6875,
"learning_rate": 1.1147368421052632e-06,
"loss": 1.3348,
"step": 2940
},
{
"epoch": 1.06,
"grad_norm": 5.25,
"learning_rate": 1.1131578947368421e-06,
"loss": 1.2387,
"step": 2950
},
{
"epoch": 1.06,
"grad_norm": 4.0625,
"learning_rate": 1.111578947368421e-06,
"loss": 1.2128,
"step": 2960
},
{
"epoch": 1.07,
"grad_norm": 4.28125,
"learning_rate": 1.11e-06,
"loss": 1.1845,
"step": 2970
},
{
"epoch": 1.07,
"grad_norm": 4.75,
"learning_rate": 1.108421052631579e-06,
"loss": 1.2829,
"step": 2980
},
{
"epoch": 1.07,
"grad_norm": 5.65625,
"learning_rate": 1.106842105263158e-06,
"loss": 1.185,
"step": 2990
},
{
"epoch": 1.08,
"grad_norm": 4.96875,
"learning_rate": 1.1052631578947369e-06,
"loss": 1.3094,
"step": 3000
},
{
"epoch": 1.08,
"grad_norm": 5.09375,
"learning_rate": 1.1036842105263158e-06,
"loss": 1.3127,
"step": 3010
},
{
"epoch": 1.08,
"grad_norm": 5.03125,
"learning_rate": 1.1021052631578947e-06,
"loss": 1.3655,
"step": 3020
},
{
"epoch": 1.09,
"grad_norm": 6.28125,
"learning_rate": 1.1005263157894738e-06,
"loss": 1.272,
"step": 3030
},
{
"epoch": 1.09,
"grad_norm": 4.5625,
"learning_rate": 1.0989473684210527e-06,
"loss": 1.2848,
"step": 3040
},
{
"epoch": 1.09,
"grad_norm": 5.4375,
"learning_rate": 1.0973684210526316e-06,
"loss": 1.2372,
"step": 3050
},
{
"epoch": 1.1,
"grad_norm": 5.09375,
"learning_rate": 1.0957894736842105e-06,
"loss": 1.1784,
"step": 3060
},
{
"epoch": 1.1,
"grad_norm": 6.875,
"learning_rate": 1.0942105263157895e-06,
"loss": 1.245,
"step": 3070
},
{
"epoch": 1.1,
"grad_norm": 3.484375,
"learning_rate": 1.0926315789473686e-06,
"loss": 1.2199,
"step": 3080
},
{
"epoch": 1.11,
"grad_norm": 4.34375,
"learning_rate": 1.0910526315789473e-06,
"loss": 1.2262,
"step": 3090
},
{
"epoch": 1.11,
"grad_norm": 4.5625,
"learning_rate": 1.0894736842105264e-06,
"loss": 1.1917,
"step": 3100
},
{
"epoch": 1.12,
"grad_norm": 3.984375,
"learning_rate": 1.0878947368421053e-06,
"loss": 1.2455,
"step": 3110
},
{
"epoch": 1.12,
"grad_norm": 5.21875,
"learning_rate": 1.0863157894736844e-06,
"loss": 1.1966,
"step": 3120
},
{
"epoch": 1.12,
"grad_norm": 6.0,
"learning_rate": 1.084736842105263e-06,
"loss": 1.396,
"step": 3130
},
{
"epoch": 1.13,
"grad_norm": 5.09375,
"learning_rate": 1.083157894736842e-06,
"loss": 1.2836,
"step": 3140
},
{
"epoch": 1.13,
"grad_norm": 4.75,
"learning_rate": 1.0815789473684211e-06,
"loss": 1.2193,
"step": 3150
},
{
"epoch": 1.13,
"grad_norm": 6.3125,
"learning_rate": 1.08e-06,
"loss": 1.2754,
"step": 3160
},
{
"epoch": 1.14,
"grad_norm": 5.25,
"learning_rate": 1.078421052631579e-06,
"loss": 1.3408,
"step": 3170
},
{
"epoch": 1.14,
"grad_norm": 5.53125,
"learning_rate": 1.0768421052631578e-06,
"loss": 1.2585,
"step": 3180
},
{
"epoch": 1.14,
"grad_norm": 4.75,
"learning_rate": 1.075263157894737e-06,
"loss": 1.2207,
"step": 3190
},
{
"epoch": 1.15,
"grad_norm": 5.25,
"learning_rate": 1.0736842105263159e-06,
"loss": 1.3081,
"step": 3200
},
{
"epoch": 1.15,
"grad_norm": 5.9375,
"learning_rate": 1.0721052631578948e-06,
"loss": 1.2992,
"step": 3210
},
{
"epoch": 1.15,
"grad_norm": 4.125,
"learning_rate": 1.0705263157894737e-06,
"loss": 1.2481,
"step": 3220
},
{
"epoch": 1.16,
"grad_norm": 6.21875,
"learning_rate": 1.0689473684210526e-06,
"loss": 1.2883,
"step": 3230
},
{
"epoch": 1.16,
"grad_norm": 6.25,
"learning_rate": 1.0673684210526317e-06,
"loss": 1.2565,
"step": 3240
},
{
"epoch": 1.17,
"grad_norm": 4.6875,
"learning_rate": 1.0657894736842106e-06,
"loss": 1.1712,
"step": 3250
},
{
"epoch": 1.17,
"grad_norm": 6.03125,
"learning_rate": 1.0642105263157895e-06,
"loss": 1.1657,
"step": 3260
},
{
"epoch": 1.17,
"grad_norm": 5.90625,
"learning_rate": 1.0626315789473684e-06,
"loss": 1.3871,
"step": 3270
},
{
"epoch": 1.18,
"grad_norm": 5.0,
"learning_rate": 1.0610526315789473e-06,
"loss": 1.2952,
"step": 3280
},
{
"epoch": 1.18,
"grad_norm": 5.59375,
"learning_rate": 1.0594736842105265e-06,
"loss": 1.2694,
"step": 3290
},
{
"epoch": 1.18,
"grad_norm": 6.375,
"learning_rate": 1.0578947368421052e-06,
"loss": 1.2199,
"step": 3300
},
{
"epoch": 1.19,
"grad_norm": 5.65625,
"learning_rate": 1.0563157894736843e-06,
"loss": 1.3025,
"step": 3310
},
{
"epoch": 1.19,
"grad_norm": 5.28125,
"learning_rate": 1.0547368421052632e-06,
"loss": 1.3357,
"step": 3320
},
{
"epoch": 1.19,
"grad_norm": 3.65625,
"learning_rate": 1.0531578947368423e-06,
"loss": 1.2073,
"step": 3330
},
{
"epoch": 1.2,
"grad_norm": 6.125,
"learning_rate": 1.051578947368421e-06,
"loss": 1.2984,
"step": 3340
},
{
"epoch": 1.2,
"grad_norm": 5.0,
"learning_rate": 1.05e-06,
"loss": 1.2861,
"step": 3350
},
{
"epoch": 1.2,
"grad_norm": 4.6875,
"learning_rate": 1.048421052631579e-06,
"loss": 1.2146,
"step": 3360
},
{
"epoch": 1.21,
"grad_norm": 4.625,
"learning_rate": 1.046842105263158e-06,
"loss": 1.3299,
"step": 3370
},
{
"epoch": 1.21,
"grad_norm": 6.28125,
"learning_rate": 1.0452631578947368e-06,
"loss": 1.2183,
"step": 3380
},
{
"epoch": 1.22,
"grad_norm": 5.09375,
"learning_rate": 1.0436842105263157e-06,
"loss": 1.2435,
"step": 3390
},
{
"epoch": 1.22,
"grad_norm": 4.59375,
"learning_rate": 1.0421052631578949e-06,
"loss": 1.2189,
"step": 3400
},
{
"epoch": 1.22,
"grad_norm": 4.21875,
"learning_rate": 1.0405263157894738e-06,
"loss": 1.2964,
"step": 3410
},
{
"epoch": 1.23,
"grad_norm": 6.03125,
"learning_rate": 1.0389473684210527e-06,
"loss": 1.1613,
"step": 3420
},
{
"epoch": 1.23,
"grad_norm": 5.625,
"learning_rate": 1.0373684210526316e-06,
"loss": 1.2126,
"step": 3430
},
{
"epoch": 1.23,
"grad_norm": 5.40625,
"learning_rate": 1.0357894736842105e-06,
"loss": 1.2181,
"step": 3440
},
{
"epoch": 1.24,
"grad_norm": 4.0,
"learning_rate": 1.0342105263157896e-06,
"loss": 1.2717,
"step": 3450
},
{
"epoch": 1.24,
"grad_norm": 4.96875,
"learning_rate": 1.0326315789473685e-06,
"loss": 1.161,
"step": 3460
},
{
"epoch": 1.24,
"grad_norm": 4.5,
"learning_rate": 1.0310526315789474e-06,
"loss": 1.3256,
"step": 3470
},
{
"epoch": 1.25,
"grad_norm": 3.453125,
"learning_rate": 1.0294736842105263e-06,
"loss": 1.2079,
"step": 3480
},
{
"epoch": 1.25,
"grad_norm": 5.40625,
"learning_rate": 1.0278947368421052e-06,
"loss": 1.2473,
"step": 3490
},
{
"epoch": 1.26,
"grad_norm": 4.53125,
"learning_rate": 1.0263157894736843e-06,
"loss": 1.2761,
"step": 3500
},
{
"epoch": 1.26,
"grad_norm": 3.984375,
"learning_rate": 1.024736842105263e-06,
"loss": 1.1995,
"step": 3510
},
{
"epoch": 1.26,
"grad_norm": 6.1875,
"learning_rate": 1.0231578947368422e-06,
"loss": 1.2516,
"step": 3520
},
{
"epoch": 1.27,
"grad_norm": 4.9375,
"learning_rate": 1.021578947368421e-06,
"loss": 1.3408,
"step": 3530
},
{
"epoch": 1.27,
"grad_norm": 6.09375,
"learning_rate": 1.0200000000000002e-06,
"loss": 1.1742,
"step": 3540
},
{
"epoch": 1.27,
"grad_norm": 5.6875,
"learning_rate": 1.0184210526315789e-06,
"loss": 1.22,
"step": 3550
},
{
"epoch": 1.28,
"grad_norm": 3.9375,
"learning_rate": 1.0168421052631578e-06,
"loss": 1.1872,
"step": 3560
},
{
"epoch": 1.28,
"grad_norm": 4.1875,
"learning_rate": 1.015263157894737e-06,
"loss": 1.255,
"step": 3570
},
{
"epoch": 1.28,
"grad_norm": 5.0,
"learning_rate": 1.0136842105263158e-06,
"loss": 1.1664,
"step": 3580
},
{
"epoch": 1.29,
"grad_norm": 6.75,
"learning_rate": 1.0121052631578947e-06,
"loss": 1.1648,
"step": 3590
},
{
"epoch": 1.29,
"grad_norm": 5.5625,
"learning_rate": 1.0105263157894736e-06,
"loss": 1.3138,
"step": 3600
},
{
"epoch": 1.29,
"grad_norm": 5.625,
"learning_rate": 1.0089473684210527e-06,
"loss": 1.2173,
"step": 3610
},
{
"epoch": 1.3,
"grad_norm": 5.0625,
"learning_rate": 1.0073684210526317e-06,
"loss": 1.2128,
"step": 3620
},
{
"epoch": 1.3,
"grad_norm": 4.3125,
"learning_rate": 1.0057894736842106e-06,
"loss": 1.2562,
"step": 3630
},
{
"epoch": 1.31,
"grad_norm": 5.34375,
"learning_rate": 1.0042105263157895e-06,
"loss": 1.1745,
"step": 3640
},
{
"epoch": 1.31,
"grad_norm": 6.875,
"learning_rate": 1.0026315789473684e-06,
"loss": 1.329,
"step": 3650
},
{
"epoch": 1.31,
"grad_norm": 4.5625,
"learning_rate": 1.0010526315789475e-06,
"loss": 1.2953,
"step": 3660
},
{
"epoch": 1.32,
"grad_norm": 4.5625,
"learning_rate": 9.994736842105264e-07,
"loss": 1.2442,
"step": 3670
},
{
"epoch": 1.32,
"grad_norm": 5.0,
"learning_rate": 9.978947368421053e-07,
"loss": 1.1968,
"step": 3680
},
{
"epoch": 1.32,
"grad_norm": 6.375,
"learning_rate": 9.963157894736842e-07,
"loss": 1.205,
"step": 3690
},
{
"epoch": 1.33,
"grad_norm": 3.203125,
"learning_rate": 9.947368421052631e-07,
"loss": 1.2721,
"step": 3700
},
{
"epoch": 1.33,
"grad_norm": 5.3125,
"learning_rate": 9.931578947368422e-07,
"loss": 1.3076,
"step": 3710
},
{
"epoch": 1.33,
"grad_norm": 5.0625,
"learning_rate": 9.91578947368421e-07,
"loss": 1.1861,
"step": 3720
},
{
"epoch": 1.34,
"grad_norm": 6.5,
"learning_rate": 9.9e-07,
"loss": 1.2757,
"step": 3730
},
{
"epoch": 1.34,
"grad_norm": 5.03125,
"learning_rate": 9.88421052631579e-07,
"loss": 1.251,
"step": 3740
},
{
"epoch": 1.34,
"grad_norm": 4.5625,
"learning_rate": 9.86842105263158e-07,
"loss": 1.3049,
"step": 3750
},
{
"epoch": 1.35,
"grad_norm": 5.875,
"learning_rate": 9.852631578947368e-07,
"loss": 1.1694,
"step": 3760
},
{
"epoch": 1.35,
"grad_norm": 4.0625,
"learning_rate": 9.836842105263157e-07,
"loss": 1.2924,
"step": 3770
},
{
"epoch": 1.36,
"grad_norm": 3.765625,
"learning_rate": 9.821052631578948e-07,
"loss": 1.1178,
"step": 3780
},
{
"epoch": 1.36,
"grad_norm": 8.5,
"learning_rate": 9.805263157894737e-07,
"loss": 1.4241,
"step": 3790
},
{
"epoch": 1.36,
"grad_norm": 5.375,
"learning_rate": 9.789473684210526e-07,
"loss": 1.2019,
"step": 3800
},
{
"epoch": 1.37,
"grad_norm": 6.53125,
"learning_rate": 9.773684210526315e-07,
"loss": 1.3219,
"step": 3810
},
{
"epoch": 1.37,
"grad_norm": 4.40625,
"learning_rate": 9.757894736842106e-07,
"loss": 1.2338,
"step": 3820
},
{
"epoch": 1.37,
"grad_norm": 4.75,
"learning_rate": 9.742105263157895e-07,
"loss": 1.2872,
"step": 3830
},
{
"epoch": 1.38,
"grad_norm": 5.09375,
"learning_rate": 9.726315789473684e-07,
"loss": 1.2748,
"step": 3840
},
{
"epoch": 1.38,
"grad_norm": 5.15625,
"learning_rate": 9.710526315789474e-07,
"loss": 1.2021,
"step": 3850
},
{
"epoch": 1.38,
"grad_norm": 5.40625,
"learning_rate": 9.694736842105263e-07,
"loss": 1.2684,
"step": 3860
},
{
"epoch": 1.39,
"grad_norm": 5.71875,
"learning_rate": 9.678947368421054e-07,
"loss": 1.2757,
"step": 3870
},
{
"epoch": 1.39,
"grad_norm": 4.65625,
"learning_rate": 9.663157894736843e-07,
"loss": 1.1384,
"step": 3880
},
{
"epoch": 1.4,
"grad_norm": 3.375,
"learning_rate": 9.647368421052632e-07,
"loss": 1.2843,
"step": 3890
},
{
"epoch": 1.4,
"grad_norm": 5.0,
"learning_rate": 9.63157894736842e-07,
"loss": 1.3287,
"step": 3900
},
{
"epoch": 1.4,
"grad_norm": 4.15625,
"learning_rate": 9.61578947368421e-07,
"loss": 1.1495,
"step": 3910
},
{
"epoch": 1.41,
"grad_norm": 5.71875,
"learning_rate": 9.600000000000001e-07,
"loss": 1.3465,
"step": 3920
},
{
"epoch": 1.41,
"grad_norm": 5.28125,
"learning_rate": 9.584210526315788e-07,
"loss": 1.2577,
"step": 3930
},
{
"epoch": 1.41,
"grad_norm": 6.125,
"learning_rate": 9.56842105263158e-07,
"loss": 1.2289,
"step": 3940
},
{
"epoch": 1.42,
"grad_norm": 5.84375,
"learning_rate": 9.552631578947368e-07,
"loss": 1.279,
"step": 3950
},
{
"epoch": 1.42,
"grad_norm": 4.375,
"learning_rate": 9.53684210526316e-07,
"loss": 1.1106,
"step": 3960
},
{
"epoch": 1.42,
"grad_norm": 6.09375,
"learning_rate": 9.521052631578948e-07,
"loss": 1.2996,
"step": 3970
},
{
"epoch": 1.43,
"grad_norm": 4.875,
"learning_rate": 9.505263157894737e-07,
"loss": 1.1866,
"step": 3980
},
{
"epoch": 1.43,
"grad_norm": 3.78125,
"learning_rate": 9.489473684210527e-07,
"loss": 1.2004,
"step": 3990
},
{
"epoch": 1.43,
"grad_norm": 5.0625,
"learning_rate": 9.473684210526316e-07,
"loss": 1.2039,
"step": 4000
},
{
"epoch": 1.43,
"eval_loss": 1.2978060245513916,
"eval_runtime": 64.5441,
"eval_samples_per_second": 15.493,
"eval_steps_per_second": 15.493,
"step": 4000
},
{
"epoch": 1.44,
"grad_norm": 5.46875,
"learning_rate": 9.457894736842106e-07,
"loss": 1.2033,
"step": 4010
},
{
"epoch": 1.44,
"grad_norm": 5.6875,
"learning_rate": 9.442105263157895e-07,
"loss": 1.2614,
"step": 4020
},
{
"epoch": 1.45,
"grad_norm": 4.65625,
"learning_rate": 9.426315789473685e-07,
"loss": 1.3363,
"step": 4030
},
{
"epoch": 1.45,
"grad_norm": 4.125,
"learning_rate": 9.410526315789474e-07,
"loss": 1.3142,
"step": 4040
},
{
"epoch": 1.45,
"grad_norm": 5.1875,
"learning_rate": 9.394736842105262e-07,
"loss": 1.2824,
"step": 4050
},
{
"epoch": 1.46,
"grad_norm": 4.34375,
"learning_rate": 9.378947368421054e-07,
"loss": 1.2548,
"step": 4060
},
{
"epoch": 1.46,
"grad_norm": 3.71875,
"learning_rate": 9.363157894736842e-07,
"loss": 1.2731,
"step": 4070
},
{
"epoch": 1.46,
"grad_norm": 4.625,
"learning_rate": 9.347368421052633e-07,
"loss": 1.2233,
"step": 4080
},
{
"epoch": 1.47,
"grad_norm": 2.875,
"learning_rate": 9.331578947368421e-07,
"loss": 1.3257,
"step": 4090
},
{
"epoch": 1.47,
"grad_norm": 4.53125,
"learning_rate": 9.315789473684212e-07,
"loss": 1.2334,
"step": 4100
},
{
"epoch": 1.47,
"grad_norm": 5.15625,
"learning_rate": 9.3e-07,
"loss": 1.1002,
"step": 4110
},
{
"epoch": 1.48,
"grad_norm": 5.1875,
"learning_rate": 9.284210526315789e-07,
"loss": 1.2399,
"step": 4120
},
{
"epoch": 1.48,
"grad_norm": 4.65625,
"learning_rate": 9.268421052631579e-07,
"loss": 1.2203,
"step": 4130
},
{
"epoch": 1.48,
"grad_norm": 3.71875,
"learning_rate": 9.252631578947368e-07,
"loss": 1.3164,
"step": 4140
},
{
"epoch": 1.49,
"grad_norm": 5.5,
"learning_rate": 9.236842105263158e-07,
"loss": 1.1929,
"step": 4150
},
{
"epoch": 1.49,
"grad_norm": 5.40625,
"learning_rate": 9.221052631578947e-07,
"loss": 1.1785,
"step": 4160
},
{
"epoch": 1.5,
"grad_norm": 5.34375,
"learning_rate": 9.205263157894737e-07,
"loss": 1.1197,
"step": 4170
},
{
"epoch": 1.5,
"grad_norm": 5.5,
"learning_rate": 9.189473684210527e-07,
"loss": 1.2186,
"step": 4180
},
{
"epoch": 1.5,
"grad_norm": 4.46875,
"learning_rate": 9.173684210526316e-07,
"loss": 1.2606,
"step": 4190
},
{
"epoch": 1.51,
"grad_norm": 5.15625,
"learning_rate": 9.157894736842106e-07,
"loss": 1.2619,
"step": 4200
},
{
"epoch": 1.51,
"grad_norm": 5.40625,
"learning_rate": 9.142105263157895e-07,
"loss": 1.2624,
"step": 4210
},
{
"epoch": 1.51,
"grad_norm": 7.28125,
"learning_rate": 9.126315789473685e-07,
"loss": 1.2749,
"step": 4220
},
{
"epoch": 1.52,
"grad_norm": 4.34375,
"learning_rate": 9.110526315789474e-07,
"loss": 1.3602,
"step": 4230
},
{
"epoch": 1.52,
"grad_norm": 4.15625,
"learning_rate": 9.094736842105264e-07,
"loss": 1.162,
"step": 4240
},
{
"epoch": 1.52,
"grad_norm": 3.875,
"learning_rate": 9.078947368421053e-07,
"loss": 1.269,
"step": 4250
},
{
"epoch": 1.53,
"grad_norm": 5.28125,
"learning_rate": 9.063157894736841e-07,
"loss": 1.1874,
"step": 4260
},
{
"epoch": 1.53,
"grad_norm": 6.28125,
"learning_rate": 9.047368421052632e-07,
"loss": 1.2483,
"step": 4270
},
{
"epoch": 1.53,
"grad_norm": 4.0625,
"learning_rate": 9.03157894736842e-07,
"loss": 1.2523,
"step": 4280
},
{
"epoch": 1.54,
"grad_norm": 3.09375,
"learning_rate": 9.015789473684212e-07,
"loss": 1.2586,
"step": 4290
},
{
"epoch": 1.54,
"grad_norm": 3.5625,
"learning_rate": 9e-07,
"loss": 1.1993,
"step": 4300
},
{
"epoch": 1.55,
"grad_norm": 6.6875,
"learning_rate": 8.984210526315791e-07,
"loss": 1.2135,
"step": 4310
},
{
"epoch": 1.55,
"grad_norm": 5.90625,
"learning_rate": 8.968421052631579e-07,
"loss": 1.2604,
"step": 4320
},
{
"epoch": 1.55,
"grad_norm": 6.75,
"learning_rate": 8.952631578947368e-07,
"loss": 1.317,
"step": 4330
},
{
"epoch": 1.56,
"grad_norm": 6.125,
"learning_rate": 8.936842105263158e-07,
"loss": 1.1593,
"step": 4340
},
{
"epoch": 1.56,
"grad_norm": 4.03125,
"learning_rate": 8.921052631578947e-07,
"loss": 1.2535,
"step": 4350
},
{
"epoch": 1.56,
"grad_norm": 5.21875,
"learning_rate": 8.905263157894737e-07,
"loss": 1.2596,
"step": 4360
},
{
"epoch": 1.57,
"grad_norm": 6.625,
"learning_rate": 8.889473684210526e-07,
"loss": 1.2864,
"step": 4370
},
{
"epoch": 1.57,
"grad_norm": 2.796875,
"learning_rate": 8.873684210526316e-07,
"loss": 1.2415,
"step": 4380
},
{
"epoch": 1.57,
"grad_norm": 5.0625,
"learning_rate": 8.857894736842105e-07,
"loss": 1.2328,
"step": 4390
},
{
"epoch": 1.58,
"grad_norm": 5.71875,
"learning_rate": 8.842105263157895e-07,
"loss": 1.2419,
"step": 4400
},
{
"epoch": 1.58,
"grad_norm": 3.625,
"learning_rate": 8.826315789473685e-07,
"loss": 1.3862,
"step": 4410
},
{
"epoch": 1.59,
"grad_norm": 4.78125,
"learning_rate": 8.810526315789474e-07,
"loss": 1.2003,
"step": 4420
},
{
"epoch": 1.59,
"grad_norm": 6.1875,
"learning_rate": 8.794736842105264e-07,
"loss": 1.3076,
"step": 4430
},
{
"epoch": 1.59,
"grad_norm": 5.40625,
"learning_rate": 8.778947368421053e-07,
"loss": 1.2327,
"step": 4440
},
{
"epoch": 1.6,
"grad_norm": 5.28125,
"learning_rate": 8.763157894736843e-07,
"loss": 1.2707,
"step": 4450
},
{
"epoch": 1.6,
"grad_norm": 4.78125,
"learning_rate": 8.747368421052632e-07,
"loss": 1.2497,
"step": 4460
},
{
"epoch": 1.6,
"grad_norm": 4.34375,
"learning_rate": 8.731578947368422e-07,
"loss": 1.3623,
"step": 4470
},
{
"epoch": 1.61,
"grad_norm": 6.1875,
"learning_rate": 8.715789473684211e-07,
"loss": 1.1402,
"step": 4480
},
{
"epoch": 1.61,
"grad_norm": 4.78125,
"learning_rate": 8.699999999999999e-07,
"loss": 1.2146,
"step": 4490
},
{
"epoch": 1.61,
"grad_norm": 4.03125,
"learning_rate": 8.68421052631579e-07,
"loss": 1.217,
"step": 4500
},
{
"epoch": 1.62,
"grad_norm": 4.28125,
"learning_rate": 8.668421052631578e-07,
"loss": 1.1123,
"step": 4510
},
{
"epoch": 1.62,
"grad_norm": 3.296875,
"learning_rate": 8.65263157894737e-07,
"loss": 1.2955,
"step": 4520
},
{
"epoch": 1.62,
"grad_norm": 4.3125,
"learning_rate": 8.636842105263158e-07,
"loss": 1.1202,
"step": 4530
},
{
"epoch": 1.63,
"grad_norm": 3.8125,
"learning_rate": 8.621052631578949e-07,
"loss": 1.2172,
"step": 4540
},
{
"epoch": 1.63,
"grad_norm": 5.875,
"learning_rate": 8.605263157894737e-07,
"loss": 1.1838,
"step": 4550
},
{
"epoch": 1.64,
"grad_norm": 4.75,
"learning_rate": 8.589473684210526e-07,
"loss": 1.2317,
"step": 4560
},
{
"epoch": 1.64,
"grad_norm": 6.375,
"learning_rate": 8.573684210526316e-07,
"loss": 1.3236,
"step": 4570
},
{
"epoch": 1.64,
"grad_norm": 3.984375,
"learning_rate": 8.557894736842105e-07,
"loss": 1.2875,
"step": 4580
},
{
"epoch": 1.65,
"grad_norm": 5.3125,
"learning_rate": 8.542105263157895e-07,
"loss": 1.3036,
"step": 4590
},
{
"epoch": 1.65,
"grad_norm": 5.0625,
"learning_rate": 8.526315789473684e-07,
"loss": 1.2511,
"step": 4600
},
{
"epoch": 1.65,
"grad_norm": 6.40625,
"learning_rate": 8.510526315789474e-07,
"loss": 1.2276,
"step": 4610
},
{
"epoch": 1.66,
"grad_norm": 5.53125,
"learning_rate": 8.494736842105264e-07,
"loss": 1.2911,
"step": 4620
},
{
"epoch": 1.66,
"grad_norm": 4.84375,
"learning_rate": 8.478947368421053e-07,
"loss": 1.2284,
"step": 4630
},
{
"epoch": 1.66,
"grad_norm": 5.53125,
"learning_rate": 8.463157894736843e-07,
"loss": 1.1752,
"step": 4640
},
{
"epoch": 1.67,
"grad_norm": 5.40625,
"learning_rate": 8.447368421052632e-07,
"loss": 1.2767,
"step": 4650
},
{
"epoch": 1.67,
"grad_norm": 3.859375,
"learning_rate": 8.431578947368422e-07,
"loss": 1.2495,
"step": 4660
},
{
"epoch": 1.67,
"grad_norm": 4.1875,
"learning_rate": 8.415789473684211e-07,
"loss": 1.1838,
"step": 4670
},
{
"epoch": 1.68,
"grad_norm": 3.5,
"learning_rate": 8.400000000000001e-07,
"loss": 1.2218,
"step": 4680
},
{
"epoch": 1.68,
"grad_norm": 5.5625,
"learning_rate": 8.38421052631579e-07,
"loss": 1.1463,
"step": 4690
},
{
"epoch": 1.69,
"grad_norm": 3.78125,
"learning_rate": 8.368421052631578e-07,
"loss": 1.1506,
"step": 4700
},
{
"epoch": 1.69,
"grad_norm": 6.375,
"learning_rate": 8.352631578947369e-07,
"loss": 1.2432,
"step": 4710
},
{
"epoch": 1.69,
"grad_norm": 5.125,
"learning_rate": 8.336842105263157e-07,
"loss": 1.2779,
"step": 4720
},
{
"epoch": 1.7,
"grad_norm": 6.25,
"learning_rate": 8.321052631578949e-07,
"loss": 1.189,
"step": 4730
},
{
"epoch": 1.7,
"grad_norm": 5.25,
"learning_rate": 8.305263157894737e-07,
"loss": 1.3471,
"step": 4740
},
{
"epoch": 1.7,
"grad_norm": 7.03125,
"learning_rate": 8.289473684210528e-07,
"loss": 1.3651,
"step": 4750
},
{
"epoch": 1.71,
"grad_norm": 4.65625,
"learning_rate": 8.273684210526316e-07,
"loss": 1.1558,
"step": 4760
},
{
"epoch": 1.71,
"grad_norm": 5.125,
"learning_rate": 8.257894736842105e-07,
"loss": 1.2075,
"step": 4770
},
{
"epoch": 1.71,
"grad_norm": 5.28125,
"learning_rate": 8.242105263157895e-07,
"loss": 1.2764,
"step": 4780
},
{
"epoch": 1.72,
"grad_norm": 4.96875,
"learning_rate": 8.226315789473684e-07,
"loss": 1.2569,
"step": 4790
},
{
"epoch": 1.72,
"grad_norm": 6.40625,
"learning_rate": 8.210526315789474e-07,
"loss": 1.1777,
"step": 4800
},
{
"epoch": 1.72,
"grad_norm": 4.6875,
"learning_rate": 8.194736842105263e-07,
"loss": 1.3637,
"step": 4810
},
{
"epoch": 1.73,
"grad_norm": 6.96875,
"learning_rate": 8.178947368421053e-07,
"loss": 1.3181,
"step": 4820
},
{
"epoch": 1.73,
"grad_norm": 4.90625,
"learning_rate": 8.163157894736842e-07,
"loss": 1.2333,
"step": 4830
},
{
"epoch": 1.74,
"grad_norm": 6.4375,
"learning_rate": 8.147368421052631e-07,
"loss": 1.1743,
"step": 4840
},
{
"epoch": 1.74,
"grad_norm": 5.96875,
"learning_rate": 8.131578947368422e-07,
"loss": 1.2702,
"step": 4850
},
{
"epoch": 1.74,
"grad_norm": 6.5625,
"learning_rate": 8.115789473684211e-07,
"loss": 1.1836,
"step": 4860
},
{
"epoch": 1.75,
"grad_norm": 4.9375,
"learning_rate": 8.100000000000001e-07,
"loss": 1.226,
"step": 4870
},
{
"epoch": 1.75,
"grad_norm": 3.640625,
"learning_rate": 8.08421052631579e-07,
"loss": 1.1897,
"step": 4880
},
{
"epoch": 1.75,
"grad_norm": 5.65625,
"learning_rate": 8.06842105263158e-07,
"loss": 1.3081,
"step": 4890
},
{
"epoch": 1.76,
"grad_norm": 5.25,
"learning_rate": 8.052631578947369e-07,
"loss": 1.2547,
"step": 4900
},
{
"epoch": 1.76,
"grad_norm": 4.59375,
"learning_rate": 8.036842105263157e-07,
"loss": 1.1939,
"step": 4910
},
{
"epoch": 1.76,
"grad_norm": 4.40625,
"learning_rate": 8.021052631578948e-07,
"loss": 1.3548,
"step": 4920
},
{
"epoch": 1.77,
"grad_norm": 6.53125,
"learning_rate": 8.005263157894736e-07,
"loss": 1.3371,
"step": 4930
},
{
"epoch": 1.77,
"grad_norm": 6.03125,
"learning_rate": 7.989473684210527e-07,
"loss": 1.2122,
"step": 4940
},
{
"epoch": 1.78,
"grad_norm": 3.8125,
"learning_rate": 7.973684210526315e-07,
"loss": 1.2003,
"step": 4950
},
{
"epoch": 1.78,
"grad_norm": 5.34375,
"learning_rate": 7.957894736842107e-07,
"loss": 1.1898,
"step": 4960
},
{
"epoch": 1.78,
"grad_norm": 5.6875,
"learning_rate": 7.942105263157895e-07,
"loss": 1.2971,
"step": 4970
},
{
"epoch": 1.79,
"grad_norm": 6.46875,
"learning_rate": 7.926315789473684e-07,
"loss": 1.1603,
"step": 4980
},
{
"epoch": 1.79,
"grad_norm": 4.0625,
"learning_rate": 7.910526315789474e-07,
"loss": 1.2873,
"step": 4990
},
{
"epoch": 1.79,
"grad_norm": 5.375,
"learning_rate": 7.894736842105263e-07,
"loss": 1.2465,
"step": 5000
},
{
"epoch": 1.8,
"grad_norm": 4.3125,
"learning_rate": 7.878947368421053e-07,
"loss": 1.2559,
"step": 5010
},
{
"epoch": 1.8,
"grad_norm": 4.21875,
"learning_rate": 7.863157894736842e-07,
"loss": 1.1589,
"step": 5020
},
{
"epoch": 1.8,
"grad_norm": 4.3125,
"learning_rate": 7.847368421052632e-07,
"loss": 1.2557,
"step": 5030
},
{
"epoch": 1.81,
"grad_norm": 4.25,
"learning_rate": 7.831578947368421e-07,
"loss": 1.1851,
"step": 5040
},
{
"epoch": 1.81,
"grad_norm": 6.46875,
"learning_rate": 7.81578947368421e-07,
"loss": 1.2658,
"step": 5050
},
{
"epoch": 1.81,
"grad_norm": 5.15625,
"learning_rate": 7.8e-07,
"loss": 1.2452,
"step": 5060
},
{
"epoch": 1.82,
"grad_norm": 4.4375,
"learning_rate": 7.78421052631579e-07,
"loss": 1.1701,
"step": 5070
},
{
"epoch": 1.82,
"grad_norm": 3.890625,
"learning_rate": 7.76842105263158e-07,
"loss": 1.3408,
"step": 5080
},
{
"epoch": 1.83,
"grad_norm": 6.03125,
"learning_rate": 7.752631578947369e-07,
"loss": 1.3047,
"step": 5090
},
{
"epoch": 1.83,
"grad_norm": 3.984375,
"learning_rate": 7.736842105263159e-07,
"loss": 1.2437,
"step": 5100
},
{
"epoch": 1.83,
"grad_norm": 4.25,
"learning_rate": 7.721052631578948e-07,
"loss": 1.2852,
"step": 5110
},
{
"epoch": 1.84,
"grad_norm": 4.75,
"learning_rate": 7.705263157894736e-07,
"loss": 1.2755,
"step": 5120
},
{
"epoch": 1.84,
"grad_norm": 4.65625,
"learning_rate": 7.689473684210527e-07,
"loss": 1.3391,
"step": 5130
},
{
"epoch": 1.84,
"grad_norm": 5.96875,
"learning_rate": 7.673684210526315e-07,
"loss": 1.2166,
"step": 5140
},
{
"epoch": 1.85,
"grad_norm": 6.21875,
"learning_rate": 7.657894736842106e-07,
"loss": 1.3108,
"step": 5150
},
{
"epoch": 1.85,
"grad_norm": 5.125,
"learning_rate": 7.642105263157894e-07,
"loss": 1.2495,
"step": 5160
},
{
"epoch": 1.85,
"grad_norm": 4.25,
"learning_rate": 7.626315789473686e-07,
"loss": 1.2511,
"step": 5170
},
{
"epoch": 1.86,
"grad_norm": 5.96875,
"learning_rate": 7.610526315789474e-07,
"loss": 1.2249,
"step": 5180
},
{
"epoch": 1.86,
"grad_norm": 5.5,
"learning_rate": 7.594736842105263e-07,
"loss": 1.2706,
"step": 5190
},
{
"epoch": 1.86,
"grad_norm": 4.5625,
"learning_rate": 7.578947368421053e-07,
"loss": 1.3103,
"step": 5200
},
{
"epoch": 1.87,
"grad_norm": 8.5625,
"learning_rate": 7.563157894736842e-07,
"loss": 1.3034,
"step": 5210
},
{
"epoch": 1.87,
"grad_norm": 4.40625,
"learning_rate": 7.547368421052632e-07,
"loss": 1.068,
"step": 5220
},
{
"epoch": 1.88,
"grad_norm": 5.25,
"learning_rate": 7.531578947368421e-07,
"loss": 1.2315,
"step": 5230
},
{
"epoch": 1.88,
"grad_norm": 6.21875,
"learning_rate": 7.515789473684211e-07,
"loss": 1.2178,
"step": 5240
},
{
"epoch": 1.88,
"grad_norm": 4.1875,
"learning_rate": 7.5e-07,
"loss": 1.2192,
"step": 5250
},
{
"epoch": 1.89,
"grad_norm": 4.1875,
"learning_rate": 7.484210526315789e-07,
"loss": 1.1862,
"step": 5260
},
{
"epoch": 1.89,
"grad_norm": 3.453125,
"learning_rate": 7.468421052631579e-07,
"loss": 1.2045,
"step": 5270
},
{
"epoch": 1.89,
"grad_norm": 5.78125,
"learning_rate": 7.452631578947368e-07,
"loss": 1.2443,
"step": 5280
},
{
"epoch": 1.9,
"grad_norm": 2.625,
"learning_rate": 7.436842105263158e-07,
"loss": 1.1414,
"step": 5290
},
{
"epoch": 1.9,
"grad_norm": 7.4375,
"learning_rate": 7.421052631578948e-07,
"loss": 1.3059,
"step": 5300
},
{
"epoch": 1.9,
"grad_norm": 4.625,
"learning_rate": 7.405263157894737e-07,
"loss": 1.2119,
"step": 5310
},
{
"epoch": 1.91,
"grad_norm": 5.6875,
"learning_rate": 7.389473684210527e-07,
"loss": 1.323,
"step": 5320
},
{
"epoch": 1.91,
"grad_norm": 3.796875,
"learning_rate": 7.373684210526316e-07,
"loss": 1.2824,
"step": 5330
},
{
"epoch": 1.92,
"grad_norm": 6.34375,
"learning_rate": 7.357894736842106e-07,
"loss": 1.2775,
"step": 5340
},
{
"epoch": 1.92,
"grad_norm": 4.0625,
"learning_rate": 7.342105263157895e-07,
"loss": 1.2661,
"step": 5350
},
{
"epoch": 1.92,
"grad_norm": 4.96875,
"learning_rate": 7.326315789473684e-07,
"loss": 1.2221,
"step": 5360
},
{
"epoch": 1.93,
"grad_norm": 5.9375,
"learning_rate": 7.310526315789473e-07,
"loss": 1.2545,
"step": 5370
},
{
"epoch": 1.93,
"grad_norm": 4.625,
"learning_rate": 7.294736842105263e-07,
"loss": 1.173,
"step": 5380
},
{
"epoch": 1.93,
"grad_norm": 7.28125,
"learning_rate": 7.278947368421052e-07,
"loss": 1.2131,
"step": 5390
},
{
"epoch": 1.94,
"grad_norm": 5.3125,
"learning_rate": 7.263157894736843e-07,
"loss": 1.2319,
"step": 5400
},
{
"epoch": 1.94,
"grad_norm": 6.59375,
"learning_rate": 7.247368421052632e-07,
"loss": 1.3161,
"step": 5410
},
{
"epoch": 1.94,
"grad_norm": 4.125,
"learning_rate": 7.231578947368422e-07,
"loss": 1.1922,
"step": 5420
},
{
"epoch": 1.95,
"grad_norm": 4.5625,
"learning_rate": 7.215789473684211e-07,
"loss": 1.2175,
"step": 5430
},
{
"epoch": 1.95,
"grad_norm": 6.15625,
"learning_rate": 7.2e-07,
"loss": 1.2557,
"step": 5440
},
{
"epoch": 1.95,
"grad_norm": 5.78125,
"learning_rate": 7.18421052631579e-07,
"loss": 1.1532,
"step": 5450
},
{
"epoch": 1.96,
"grad_norm": 3.890625,
"learning_rate": 7.168421052631579e-07,
"loss": 1.1921,
"step": 5460
},
{
"epoch": 1.96,
"grad_norm": 5.78125,
"learning_rate": 7.152631578947369e-07,
"loss": 1.3977,
"step": 5470
},
{
"epoch": 1.97,
"grad_norm": 4.3125,
"learning_rate": 7.136842105263158e-07,
"loss": 1.2026,
"step": 5480
},
{
"epoch": 1.97,
"grad_norm": 4.59375,
"learning_rate": 7.121052631578947e-07,
"loss": 1.2707,
"step": 5490
},
{
"epoch": 1.97,
"grad_norm": 6.71875,
"learning_rate": 7.105263157894736e-07,
"loss": 1.2391,
"step": 5500
},
{
"epoch": 1.98,
"grad_norm": 5.15625,
"learning_rate": 7.089473684210527e-07,
"loss": 1.2497,
"step": 5510
},
{
"epoch": 1.98,
"grad_norm": 4.53125,
"learning_rate": 7.073684210526316e-07,
"loss": 1.2682,
"step": 5520
},
{
"epoch": 1.98,
"grad_norm": 6.03125,
"learning_rate": 7.057894736842106e-07,
"loss": 1.2696,
"step": 5530
},
{
"epoch": 1.99,
"grad_norm": 5.96875,
"learning_rate": 7.042105263157895e-07,
"loss": 1.2782,
"step": 5540
},
{
"epoch": 1.99,
"grad_norm": 4.09375,
"learning_rate": 7.026315789473685e-07,
"loss": 1.2647,
"step": 5550
},
{
"epoch": 1.99,
"grad_norm": 6.53125,
"learning_rate": 7.010526315789474e-07,
"loss": 1.2365,
"step": 5560
},
{
"epoch": 2.0,
"grad_norm": 6.09375,
"learning_rate": 6.994736842105263e-07,
"loss": 1.2428,
"step": 5570
},
{
"epoch": 2.0,
"grad_norm": 4.4375,
"learning_rate": 6.978947368421052e-07,
"loss": 1.2722,
"step": 5580
},
{
"epoch": 2.0,
"grad_norm": 4.75,
"learning_rate": 6.963157894736842e-07,
"loss": 1.2367,
"step": 5590
},
{
"epoch": 2.01,
"grad_norm": 5.46875,
"learning_rate": 6.947368421052631e-07,
"loss": 1.337,
"step": 5600
},
{
"epoch": 2.01,
"grad_norm": 6.3125,
"learning_rate": 6.931578947368421e-07,
"loss": 1.2827,
"step": 5610
},
{
"epoch": 2.02,
"grad_norm": 7.34375,
"learning_rate": 6.91578947368421e-07,
"loss": 1.3569,
"step": 5620
},
{
"epoch": 2.02,
"grad_norm": 5.1875,
"learning_rate": 6.900000000000001e-07,
"loss": 1.1996,
"step": 5630
},
{
"epoch": 2.02,
"grad_norm": 5.90625,
"learning_rate": 6.88421052631579e-07,
"loss": 1.3072,
"step": 5640
},
{
"epoch": 2.03,
"grad_norm": 6.21875,
"learning_rate": 6.868421052631579e-07,
"loss": 1.2958,
"step": 5650
},
{
"epoch": 2.03,
"grad_norm": 4.875,
"learning_rate": 6.852631578947369e-07,
"loss": 1.2732,
"step": 5660
},
{
"epoch": 2.03,
"grad_norm": 5.46875,
"learning_rate": 6.836842105263158e-07,
"loss": 1.2906,
"step": 5670
},
{
"epoch": 2.04,
"grad_norm": 4.09375,
"learning_rate": 6.821052631578948e-07,
"loss": 1.2793,
"step": 5680
},
{
"epoch": 2.04,
"grad_norm": 6.375,
"learning_rate": 6.805263157894737e-07,
"loss": 1.289,
"step": 5690
},
{
"epoch": 2.04,
"grad_norm": 6.625,
"learning_rate": 6.789473684210527e-07,
"loss": 1.2384,
"step": 5700
},
{
"epoch": 2.05,
"grad_norm": 4.375,
"learning_rate": 6.773684210526316e-07,
"loss": 1.3608,
"step": 5710
},
{
"epoch": 2.05,
"grad_norm": 6.03125,
"learning_rate": 6.757894736842105e-07,
"loss": 1.2554,
"step": 5720
},
{
"epoch": 2.05,
"grad_norm": 7.59375,
"learning_rate": 6.742105263157894e-07,
"loss": 1.2276,
"step": 5730
},
{
"epoch": 2.06,
"grad_norm": 5.25,
"learning_rate": 6.726315789473685e-07,
"loss": 1.2748,
"step": 5740
},
{
"epoch": 2.06,
"grad_norm": 4.5,
"learning_rate": 6.710526315789474e-07,
"loss": 1.397,
"step": 5750
},
{
"epoch": 2.07,
"grad_norm": 9.5,
"learning_rate": 6.694736842105264e-07,
"loss": 1.3647,
"step": 5760
},
{
"epoch": 2.07,
"grad_norm": 4.71875,
"learning_rate": 6.678947368421053e-07,
"loss": 1.3448,
"step": 5770
},
{
"epoch": 2.07,
"grad_norm": 5.28125,
"learning_rate": 6.663157894736843e-07,
"loss": 1.2532,
"step": 5780
},
{
"epoch": 2.08,
"grad_norm": 5.03125,
"learning_rate": 6.647368421052631e-07,
"loss": 1.2502,
"step": 5790
},
{
"epoch": 2.08,
"grad_norm": 6.25,
"learning_rate": 6.631578947368421e-07,
"loss": 1.2307,
"step": 5800
},
{
"epoch": 2.08,
"grad_norm": 6.78125,
"learning_rate": 6.61578947368421e-07,
"loss": 1.2215,
"step": 5810
},
{
"epoch": 2.09,
"grad_norm": 3.6875,
"learning_rate": 6.6e-07,
"loss": 1.2169,
"step": 5820
},
{
"epoch": 2.09,
"grad_norm": 5.8125,
"learning_rate": 6.584210526315789e-07,
"loss": 1.2402,
"step": 5830
},
{
"epoch": 2.09,
"grad_norm": 5.0625,
"learning_rate": 6.56842105263158e-07,
"loss": 1.3188,
"step": 5840
},
{
"epoch": 2.1,
"grad_norm": 5.53125,
"learning_rate": 6.552631578947369e-07,
"loss": 1.3201,
"step": 5850
},
{
"epoch": 2.1,
"grad_norm": 3.40625,
"learning_rate": 6.536842105263158e-07,
"loss": 1.2958,
"step": 5860
},
{
"epoch": 2.11,
"grad_norm": 5.3125,
"learning_rate": 6.521052631578948e-07,
"loss": 1.3746,
"step": 5870
},
{
"epoch": 2.11,
"grad_norm": 5.625,
"learning_rate": 6.505263157894737e-07,
"loss": 1.2334,
"step": 5880
},
{
"epoch": 2.11,
"grad_norm": 5.0625,
"learning_rate": 6.489473684210527e-07,
"loss": 1.2365,
"step": 5890
},
{
"epoch": 2.12,
"grad_norm": 6.75,
"learning_rate": 6.473684210526316e-07,
"loss": 1.3491,
"step": 5900
},
{
"epoch": 2.12,
"grad_norm": 6.5625,
"learning_rate": 6.457894736842106e-07,
"loss": 1.2262,
"step": 5910
},
{
"epoch": 2.12,
"grad_norm": 5.40625,
"learning_rate": 6.442105263157895e-07,
"loss": 1.3511,
"step": 5920
},
{
"epoch": 2.13,
"grad_norm": 5.3125,
"learning_rate": 6.426315789473684e-07,
"loss": 1.2133,
"step": 5930
},
{
"epoch": 2.13,
"grad_norm": 4.8125,
"learning_rate": 6.410526315789473e-07,
"loss": 1.291,
"step": 5940
},
{
"epoch": 2.13,
"grad_norm": 6.6875,
"learning_rate": 6.394736842105264e-07,
"loss": 1.2519,
"step": 5950
},
{
"epoch": 2.14,
"grad_norm": 4.96875,
"learning_rate": 6.378947368421053e-07,
"loss": 1.2712,
"step": 5960
},
{
"epoch": 2.14,
"grad_norm": 5.0625,
"learning_rate": 6.363157894736843e-07,
"loss": 1.3061,
"step": 5970
},
{
"epoch": 2.14,
"grad_norm": 3.578125,
"learning_rate": 6.347368421052632e-07,
"loss": 1.2029,
"step": 5980
},
{
"epoch": 2.15,
"grad_norm": 5.5625,
"learning_rate": 6.331578947368422e-07,
"loss": 1.2404,
"step": 5990
},
{
"epoch": 2.15,
"grad_norm": 6.46875,
"learning_rate": 6.31578947368421e-07,
"loss": 1.2706,
"step": 6000
},
{
"epoch": 2.15,
"eval_loss": 1.3080763816833496,
"eval_runtime": 64.5168,
"eval_samples_per_second": 15.5,
"eval_steps_per_second": 15.5,
"step": 6000
}
],
"logging_steps": 10,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 2000,
"total_flos": 9.683532251136e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}