BilalMuftuoglu's picture
End of training
c757b60 verified
raw
history blame contribute delete
No virus
27 kB
{
"best_metric": 0.8181818181818182,
"best_model_checkpoint": "beit-base-patch16-224-hasta-85-fold5/checkpoint-61",
"epoch": 100.0,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.5454545454545454,
"eval_loss": 1.0103095769882202,
"eval_runtime": 0.1623,
"eval_samples_per_second": 67.785,
"eval_steps_per_second": 6.162,
"step": 1
},
{
"epoch": 2.0,
"eval_accuracy": 0.6363636363636364,
"eval_loss": 0.8045657873153687,
"eval_runtime": 0.1606,
"eval_samples_per_second": 68.48,
"eval_steps_per_second": 6.225,
"step": 2
},
{
"epoch": 3.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 0.737779974937439,
"eval_runtime": 0.1609,
"eval_samples_per_second": 68.384,
"eval_steps_per_second": 6.217,
"step": 3
},
{
"epoch": 4.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.067632794380188,
"eval_runtime": 0.1648,
"eval_samples_per_second": 66.756,
"eval_steps_per_second": 6.069,
"step": 4
},
{
"epoch": 5.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.3956468105316162,
"eval_runtime": 0.1683,
"eval_samples_per_second": 65.354,
"eval_steps_per_second": 5.941,
"step": 5
},
{
"epoch": 6.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5799392461776733,
"eval_runtime": 0.1676,
"eval_samples_per_second": 65.649,
"eval_steps_per_second": 5.968,
"step": 6
},
{
"epoch": 7.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.606094479560852,
"eval_runtime": 0.1674,
"eval_samples_per_second": 65.697,
"eval_steps_per_second": 5.972,
"step": 7
},
{
"epoch": 8.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4350547790527344,
"eval_runtime": 0.1678,
"eval_samples_per_second": 65.537,
"eval_steps_per_second": 5.958,
"step": 8
},
{
"epoch": 9.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.3295589685440063,
"eval_runtime": 0.1708,
"eval_samples_per_second": 64.389,
"eval_steps_per_second": 5.854,
"step": 9
},
{
"epoch": 10.0,
"grad_norm": 4.930849075317383,
"learning_rate": 5e-05,
"loss": 0.39,
"step": 10
},
{
"epoch": 10.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2815629243850708,
"eval_runtime": 0.161,
"eval_samples_per_second": 68.322,
"eval_steps_per_second": 6.211,
"step": 10
},
{
"epoch": 11.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.265523910522461,
"eval_runtime": 0.1668,
"eval_samples_per_second": 65.937,
"eval_steps_per_second": 5.994,
"step": 11
},
{
"epoch": 12.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2039612531661987,
"eval_runtime": 0.1757,
"eval_samples_per_second": 62.617,
"eval_steps_per_second": 5.692,
"step": 12
},
{
"epoch": 13.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.0664290189743042,
"eval_runtime": 0.1648,
"eval_samples_per_second": 66.739,
"eval_steps_per_second": 6.067,
"step": 13
},
{
"epoch": 14.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.0846155881881714,
"eval_runtime": 0.1608,
"eval_samples_per_second": 68.402,
"eval_steps_per_second": 6.218,
"step": 14
},
{
"epoch": 15.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.214535117149353,
"eval_runtime": 0.1642,
"eval_samples_per_second": 66.984,
"eval_steps_per_second": 6.089,
"step": 15
},
{
"epoch": 16.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4681614637374878,
"eval_runtime": 0.1636,
"eval_samples_per_second": 67.239,
"eval_steps_per_second": 6.113,
"step": 16
},
{
"epoch": 17.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4473122358322144,
"eval_runtime": 0.1607,
"eval_samples_per_second": 68.471,
"eval_steps_per_second": 6.225,
"step": 17
},
{
"epoch": 18.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2699377536773682,
"eval_runtime": 0.1669,
"eval_samples_per_second": 65.907,
"eval_steps_per_second": 5.992,
"step": 18
},
{
"epoch": 19.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.246677041053772,
"eval_runtime": 0.2573,
"eval_samples_per_second": 42.747,
"eval_steps_per_second": 3.886,
"step": 19
},
{
"epoch": 20.0,
"grad_norm": 2.567878484725952,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.1832,
"step": 20
},
{
"epoch": 20.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2648237943649292,
"eval_runtime": 0.1623,
"eval_samples_per_second": 67.792,
"eval_steps_per_second": 6.163,
"step": 20
},
{
"epoch": 21.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2914077043533325,
"eval_runtime": 0.1601,
"eval_samples_per_second": 68.712,
"eval_steps_per_second": 6.247,
"step": 21
},
{
"epoch": 22.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.3443835973739624,
"eval_runtime": 0.1569,
"eval_samples_per_second": 70.118,
"eval_steps_per_second": 6.374,
"step": 22
},
{
"epoch": 23.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5324546098709106,
"eval_runtime": 0.1662,
"eval_samples_per_second": 66.183,
"eval_steps_per_second": 6.017,
"step": 23
},
{
"epoch": 24.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.6140273809432983,
"eval_runtime": 0.1646,
"eval_samples_per_second": 66.822,
"eval_steps_per_second": 6.075,
"step": 24
},
{
"epoch": 25.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.6262385845184326,
"eval_runtime": 0.1635,
"eval_samples_per_second": 67.284,
"eval_steps_per_second": 6.117,
"step": 25
},
{
"epoch": 26.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.6752601861953735,
"eval_runtime": 0.1704,
"eval_samples_per_second": 64.572,
"eval_steps_per_second": 5.87,
"step": 26
},
{
"epoch": 27.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.653100848197937,
"eval_runtime": 0.1637,
"eval_samples_per_second": 67.204,
"eval_steps_per_second": 6.109,
"step": 27
},
{
"epoch": 28.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.7095893621444702,
"eval_runtime": 0.1629,
"eval_samples_per_second": 67.544,
"eval_steps_per_second": 6.14,
"step": 28
},
{
"epoch": 29.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.666225790977478,
"eval_runtime": 0.1364,
"eval_samples_per_second": 80.626,
"eval_steps_per_second": 7.33,
"step": 29
},
{
"epoch": 30.0,
"grad_norm": 2.4013149738311768,
"learning_rate": 3.888888888888889e-05,
"loss": 0.1194,
"step": 30
},
{
"epoch": 30.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5768946409225464,
"eval_runtime": 0.1615,
"eval_samples_per_second": 68.132,
"eval_steps_per_second": 6.194,
"step": 30
},
{
"epoch": 31.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4446830749511719,
"eval_runtime": 0.1657,
"eval_samples_per_second": 66.386,
"eval_steps_per_second": 6.035,
"step": 31
},
{
"epoch": 32.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.264360785484314,
"eval_runtime": 0.1666,
"eval_samples_per_second": 66.03,
"eval_steps_per_second": 6.003,
"step": 32
},
{
"epoch": 33.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2033320665359497,
"eval_runtime": 0.1596,
"eval_samples_per_second": 68.902,
"eval_steps_per_second": 6.264,
"step": 33
},
{
"epoch": 34.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.270344614982605,
"eval_runtime": 0.1609,
"eval_samples_per_second": 68.347,
"eval_steps_per_second": 6.213,
"step": 34
},
{
"epoch": 35.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4491862058639526,
"eval_runtime": 0.1633,
"eval_samples_per_second": 67.359,
"eval_steps_per_second": 6.124,
"step": 35
},
{
"epoch": 36.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5890190601348877,
"eval_runtime": 0.1696,
"eval_samples_per_second": 64.877,
"eval_steps_per_second": 5.898,
"step": 36
},
{
"epoch": 37.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.569095253944397,
"eval_runtime": 0.1639,
"eval_samples_per_second": 67.106,
"eval_steps_per_second": 6.101,
"step": 37
},
{
"epoch": 38.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.412721872329712,
"eval_runtime": 0.1576,
"eval_samples_per_second": 69.794,
"eval_steps_per_second": 6.345,
"step": 38
},
{
"epoch": 39.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.3179062604904175,
"eval_runtime": 0.1665,
"eval_samples_per_second": 66.079,
"eval_steps_per_second": 6.007,
"step": 39
},
{
"epoch": 40.0,
"grad_norm": 4.264218807220459,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.0783,
"step": 40
},
{
"epoch": 40.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.2985975742340088,
"eval_runtime": 0.1572,
"eval_samples_per_second": 69.994,
"eval_steps_per_second": 6.363,
"step": 40
},
{
"epoch": 41.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.3181326389312744,
"eval_runtime": 0.1636,
"eval_samples_per_second": 67.239,
"eval_steps_per_second": 6.113,
"step": 41
},
{
"epoch": 42.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.4252508878707886,
"eval_runtime": 0.1627,
"eval_samples_per_second": 67.613,
"eval_steps_per_second": 6.147,
"step": 42
},
{
"epoch": 43.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5179203748703003,
"eval_runtime": 0.1669,
"eval_samples_per_second": 65.914,
"eval_steps_per_second": 5.992,
"step": 43
},
{
"epoch": 44.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.568513035774231,
"eval_runtime": 0.172,
"eval_samples_per_second": 63.949,
"eval_steps_per_second": 5.814,
"step": 44
},
{
"epoch": 45.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.5695762634277344,
"eval_runtime": 0.1674,
"eval_samples_per_second": 65.707,
"eval_steps_per_second": 5.973,
"step": 45
},
{
"epoch": 46.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.757134199142456,
"eval_runtime": 0.1629,
"eval_samples_per_second": 67.512,
"eval_steps_per_second": 6.137,
"step": 46
},
{
"epoch": 47.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.912243366241455,
"eval_runtime": 0.1651,
"eval_samples_per_second": 66.609,
"eval_steps_per_second": 6.055,
"step": 47
},
{
"epoch": 48.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1062092781066895,
"eval_runtime": 0.1666,
"eval_samples_per_second": 66.025,
"eval_steps_per_second": 6.002,
"step": 48
},
{
"epoch": 49.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1660807132720947,
"eval_runtime": 0.1649,
"eval_samples_per_second": 66.721,
"eval_steps_per_second": 6.066,
"step": 49
},
{
"epoch": 50.0,
"grad_norm": 4.0951247215271,
"learning_rate": 2.777777777777778e-05,
"loss": 0.056,
"step": 50
},
{
"epoch": 50.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.183253526687622,
"eval_runtime": 0.1672,
"eval_samples_per_second": 65.787,
"eval_steps_per_second": 5.981,
"step": 50
},
{
"epoch": 51.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.240224599838257,
"eval_runtime": 0.1611,
"eval_samples_per_second": 68.291,
"eval_steps_per_second": 6.208,
"step": 51
},
{
"epoch": 52.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.300673723220825,
"eval_runtime": 0.1648,
"eval_samples_per_second": 66.765,
"eval_steps_per_second": 6.07,
"step": 52
},
{
"epoch": 53.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.369180679321289,
"eval_runtime": 0.1588,
"eval_samples_per_second": 69.263,
"eval_steps_per_second": 6.297,
"step": 53
},
{
"epoch": 54.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.382084608078003,
"eval_runtime": 0.1641,
"eval_samples_per_second": 67.023,
"eval_steps_per_second": 6.093,
"step": 54
},
{
"epoch": 55.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2715866565704346,
"eval_runtime": 0.1645,
"eval_samples_per_second": 66.867,
"eval_steps_per_second": 6.079,
"step": 55
},
{
"epoch": 56.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.048184871673584,
"eval_runtime": 0.1627,
"eval_samples_per_second": 67.596,
"eval_steps_per_second": 6.145,
"step": 56
},
{
"epoch": 57.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.878261685371399,
"eval_runtime": 0.1665,
"eval_samples_per_second": 66.071,
"eval_steps_per_second": 6.006,
"step": 57
},
{
"epoch": 58.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.7967017889022827,
"eval_runtime": 0.1646,
"eval_samples_per_second": 66.839,
"eval_steps_per_second": 6.076,
"step": 58
},
{
"epoch": 59.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.7035846710205078,
"eval_runtime": 0.166,
"eval_samples_per_second": 66.247,
"eval_steps_per_second": 6.022,
"step": 59
},
{
"epoch": 60.0,
"grad_norm": 1.3352000713348389,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.052,
"step": 60
},
{
"epoch": 60.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.6389153003692627,
"eval_runtime": 0.1645,
"eval_samples_per_second": 66.885,
"eval_steps_per_second": 6.08,
"step": 60
},
{
"epoch": 61.0,
"eval_accuracy": 0.8181818181818182,
"eval_loss": 1.635382056236267,
"eval_runtime": 0.1649,
"eval_samples_per_second": 66.706,
"eval_steps_per_second": 6.064,
"step": 61
},
{
"epoch": 62.0,
"eval_accuracy": 0.8181818181818182,
"eval_loss": 1.685198187828064,
"eval_runtime": 0.45,
"eval_samples_per_second": 24.444,
"eval_steps_per_second": 2.222,
"step": 62
},
{
"epoch": 63.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.818864107131958,
"eval_runtime": 0.1598,
"eval_samples_per_second": 68.848,
"eval_steps_per_second": 6.259,
"step": 63
},
{
"epoch": 64.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 1.9682955741882324,
"eval_runtime": 0.1685,
"eval_samples_per_second": 65.269,
"eval_steps_per_second": 5.934,
"step": 64
},
{
"epoch": 65.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.016566753387451,
"eval_runtime": 0.1665,
"eval_samples_per_second": 66.08,
"eval_steps_per_second": 6.007,
"step": 65
},
{
"epoch": 66.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.0854508876800537,
"eval_runtime": 0.1653,
"eval_samples_per_second": 66.551,
"eval_steps_per_second": 6.05,
"step": 66
},
{
"epoch": 67.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1358840465545654,
"eval_runtime": 0.1723,
"eval_samples_per_second": 63.824,
"eval_steps_per_second": 5.802,
"step": 67
},
{
"epoch": 68.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.246534585952759,
"eval_runtime": 0.1636,
"eval_samples_per_second": 67.22,
"eval_steps_per_second": 6.111,
"step": 68
},
{
"epoch": 69.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2680304050445557,
"eval_runtime": 0.1596,
"eval_samples_per_second": 68.909,
"eval_steps_per_second": 6.264,
"step": 69
},
{
"epoch": 70.0,
"grad_norm": 1.2708288431167603,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.0276,
"step": 70
},
{
"epoch": 70.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2728347778320312,
"eval_runtime": 0.163,
"eval_samples_per_second": 67.468,
"eval_steps_per_second": 6.133,
"step": 70
},
{
"epoch": 71.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.282043218612671,
"eval_runtime": 0.1579,
"eval_samples_per_second": 69.686,
"eval_steps_per_second": 6.335,
"step": 71
},
{
"epoch": 72.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2427427768707275,
"eval_runtime": 0.1656,
"eval_samples_per_second": 66.429,
"eval_steps_per_second": 6.039,
"step": 72
},
{
"epoch": 73.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.20658540725708,
"eval_runtime": 0.171,
"eval_samples_per_second": 64.32,
"eval_steps_per_second": 5.847,
"step": 73
},
{
"epoch": 74.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2434442043304443,
"eval_runtime": 0.1632,
"eval_samples_per_second": 67.392,
"eval_steps_per_second": 6.127,
"step": 74
},
{
"epoch": 75.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.3205888271331787,
"eval_runtime": 0.1636,
"eval_samples_per_second": 67.241,
"eval_steps_per_second": 6.113,
"step": 75
},
{
"epoch": 76.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.4407994747161865,
"eval_runtime": 0.1664,
"eval_samples_per_second": 66.119,
"eval_steps_per_second": 6.011,
"step": 76
},
{
"epoch": 77.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.480969190597534,
"eval_runtime": 0.1628,
"eval_samples_per_second": 67.577,
"eval_steps_per_second": 6.143,
"step": 77
},
{
"epoch": 78.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.509140729904175,
"eval_runtime": 0.1672,
"eval_samples_per_second": 65.806,
"eval_steps_per_second": 5.982,
"step": 78
},
{
"epoch": 79.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.486177682876587,
"eval_runtime": 0.1683,
"eval_samples_per_second": 65.368,
"eval_steps_per_second": 5.943,
"step": 79
},
{
"epoch": 80.0,
"grad_norm": 2.5931143760681152,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.0411,
"step": 80
},
{
"epoch": 80.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.4502298831939697,
"eval_runtime": 0.1622,
"eval_samples_per_second": 67.834,
"eval_steps_per_second": 6.167,
"step": 80
},
{
"epoch": 81.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.4204084873199463,
"eval_runtime": 0.163,
"eval_samples_per_second": 67.475,
"eval_steps_per_second": 6.134,
"step": 81
},
{
"epoch": 82.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.3837873935699463,
"eval_runtime": 0.1661,
"eval_samples_per_second": 66.226,
"eval_steps_per_second": 6.021,
"step": 82
},
{
"epoch": 83.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.343120813369751,
"eval_runtime": 0.1614,
"eval_samples_per_second": 68.159,
"eval_steps_per_second": 6.196,
"step": 83
},
{
"epoch": 84.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.292693614959717,
"eval_runtime": 0.1662,
"eval_samples_per_second": 66.18,
"eval_steps_per_second": 6.016,
"step": 84
},
{
"epoch": 85.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2180917263031006,
"eval_runtime": 0.1665,
"eval_samples_per_second": 66.081,
"eval_steps_per_second": 6.007,
"step": 85
},
{
"epoch": 86.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1632635593414307,
"eval_runtime": 0.1684,
"eval_samples_per_second": 65.315,
"eval_steps_per_second": 5.938,
"step": 86
},
{
"epoch": 87.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.0965707302093506,
"eval_runtime": 0.165,
"eval_samples_per_second": 66.655,
"eval_steps_per_second": 6.06,
"step": 87
},
{
"epoch": 88.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.053642988204956,
"eval_runtime": 0.1705,
"eval_samples_per_second": 64.51,
"eval_steps_per_second": 5.865,
"step": 88
},
{
"epoch": 89.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.0427496433258057,
"eval_runtime": 0.1615,
"eval_samples_per_second": 68.103,
"eval_steps_per_second": 6.191,
"step": 89
},
{
"epoch": 90.0,
"grad_norm": 1.728418231010437,
"learning_rate": 5.555555555555556e-06,
"loss": 0.0317,
"step": 90
},
{
"epoch": 90.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.0523698329925537,
"eval_runtime": 0.1681,
"eval_samples_per_second": 65.445,
"eval_steps_per_second": 5.95,
"step": 90
},
{
"epoch": 91.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.0489087104797363,
"eval_runtime": 0.1658,
"eval_samples_per_second": 66.365,
"eval_steps_per_second": 6.033,
"step": 91
},
{
"epoch": 92.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.064781904220581,
"eval_runtime": 0.1669,
"eval_samples_per_second": 65.891,
"eval_steps_per_second": 5.99,
"step": 92
},
{
"epoch": 93.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.094611644744873,
"eval_runtime": 0.1646,
"eval_samples_per_second": 66.836,
"eval_steps_per_second": 6.076,
"step": 93
},
{
"epoch": 94.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.115490436553955,
"eval_runtime": 0.1669,
"eval_samples_per_second": 65.919,
"eval_steps_per_second": 5.993,
"step": 94
},
{
"epoch": 95.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1469366550445557,
"eval_runtime": 0.1614,
"eval_samples_per_second": 68.154,
"eval_steps_per_second": 6.196,
"step": 95
},
{
"epoch": 96.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.1768057346343994,
"eval_runtime": 0.1696,
"eval_samples_per_second": 64.857,
"eval_steps_per_second": 5.896,
"step": 96
},
{
"epoch": 97.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2026336193084717,
"eval_runtime": 0.1585,
"eval_samples_per_second": 69.396,
"eval_steps_per_second": 6.309,
"step": 97
},
{
"epoch": 98.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2204527854919434,
"eval_runtime": 0.1606,
"eval_samples_per_second": 68.492,
"eval_steps_per_second": 6.227,
"step": 98
},
{
"epoch": 99.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.2304117679595947,
"eval_runtime": 0.1642,
"eval_samples_per_second": 67.008,
"eval_steps_per_second": 6.092,
"step": 99
},
{
"epoch": 100.0,
"grad_norm": 4.493223190307617,
"learning_rate": 0.0,
"loss": 0.0394,
"step": 100
},
{
"epoch": 100.0,
"eval_accuracy": 0.7272727272727273,
"eval_loss": 2.234973430633545,
"eval_runtime": 0.1591,
"eval_samples_per_second": 69.124,
"eval_steps_per_second": 6.284,
"step": 100
},
{
"epoch": 100.0,
"step": 100,
"total_flos": 4.570114227259392e+17,
"train_loss": 0.10187353670597077,
"train_runtime": 408.9093,
"train_samples_per_second": 14.429,
"train_steps_per_second": 0.245
},
{
"epoch": 100.0,
"eval_accuracy": 0.8181818181818182,
"eval_loss": 1.635382056236267,
"eval_runtime": 0.2152,
"eval_samples_per_second": 51.111,
"eval_steps_per_second": 4.646,
"step": 100
}
],
"logging_steps": 10,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 4.570114227259392e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}