{ "best_metric": 0.7272727272727273, "best_model_checkpoint": "beit-base-patch16-224-hasta-85-fold4/checkpoint-2", "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": 0.6363636363636364, "eval_loss": 1.0761245489120483, "eval_runtime": 0.1602, "eval_samples_per_second": 68.658, "eval_steps_per_second": 6.242, "step": 1 }, { "epoch": 2.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9257901906967163, "eval_runtime": 0.1749, "eval_samples_per_second": 62.906, "eval_steps_per_second": 5.719, "step": 2 }, { "epoch": 3.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.8309900164604187, "eval_runtime": 0.1693, "eval_samples_per_second": 64.981, "eval_steps_per_second": 5.907, "step": 3 }, { "epoch": 4.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9402067065238953, "eval_runtime": 0.1613, "eval_samples_per_second": 68.199, "eval_steps_per_second": 6.2, "step": 4 }, { "epoch": 5.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1380892992019653, "eval_runtime": 0.16, "eval_samples_per_second": 68.741, "eval_steps_per_second": 6.249, "step": 5 }, { "epoch": 6.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2811881303787231, "eval_runtime": 0.1681, "eval_samples_per_second": 65.423, "eval_steps_per_second": 5.948, "step": 6 }, { "epoch": 7.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2678855657577515, "eval_runtime": 0.163, "eval_samples_per_second": 67.483, "eval_steps_per_second": 6.135, "step": 7 }, { "epoch": 8.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.170410394668579, "eval_runtime": 0.1667, "eval_samples_per_second": 65.969, "eval_steps_per_second": 5.997, "step": 8 }, { "epoch": 9.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1909043788909912, "eval_runtime": 0.1613, "eval_samples_per_second": 68.207, "eval_steps_per_second": 6.201, "step": 9 }, { "epoch": 10.0, "grad_norm": 2.4812705516815186, "learning_rate": 5e-05, "loss": 0.3269, "step": 10 }, { "epoch": 10.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2981127500534058, "eval_runtime": 0.1617, "eval_samples_per_second": 68.039, "eval_steps_per_second": 6.185, "step": 10 }, { "epoch": 11.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2565165758132935, "eval_runtime": 0.168, "eval_samples_per_second": 65.493, "eval_steps_per_second": 5.954, "step": 11 }, { "epoch": 12.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1475425958633423, "eval_runtime": 0.1709, "eval_samples_per_second": 64.378, "eval_steps_per_second": 5.853, "step": 12 }, { "epoch": 13.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0584505796432495, "eval_runtime": 0.1614, "eval_samples_per_second": 68.153, "eval_steps_per_second": 6.196, "step": 13 }, { "epoch": 14.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0294095277786255, "eval_runtime": 0.1628, "eval_samples_per_second": 67.569, "eval_steps_per_second": 6.143, "step": 14 }, { "epoch": 15.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.064909815788269, "eval_runtime": 0.159, "eval_samples_per_second": 69.19, "eval_steps_per_second": 6.29, "step": 15 }, { "epoch": 16.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1712483167648315, "eval_runtime": 0.1606, "eval_samples_per_second": 68.479, "eval_steps_per_second": 6.225, "step": 16 }, { "epoch": 17.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.208996057510376, "eval_runtime": 0.1616, "eval_samples_per_second": 68.068, "eval_steps_per_second": 6.188, "step": 17 }, { "epoch": 18.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1579047441482544, "eval_runtime": 0.1671, "eval_samples_per_second": 65.83, "eval_steps_per_second": 5.985, "step": 18 }, { "epoch": 19.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.094255805015564, "eval_runtime": 0.1612, "eval_samples_per_second": 68.223, "eval_steps_per_second": 6.202, "step": 19 }, { "epoch": 20.0, "grad_norm": 1.379998803138733, "learning_rate": 4.4444444444444447e-05, "loss": 0.1921, "step": 20 }, { "epoch": 20.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1877329349517822, "eval_runtime": 0.1591, "eval_samples_per_second": 69.154, "eval_steps_per_second": 6.287, "step": 20 }, { "epoch": 21.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3909109830856323, "eval_runtime": 0.1631, "eval_samples_per_second": 67.439, "eval_steps_per_second": 6.131, "step": 21 }, { "epoch": 22.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4300814867019653, "eval_runtime": 0.1613, "eval_samples_per_second": 68.186, "eval_steps_per_second": 6.199, "step": 22 }, { "epoch": 23.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.421010136604309, "eval_runtime": 0.1626, "eval_samples_per_second": 67.631, "eval_steps_per_second": 6.148, "step": 23 }, { "epoch": 24.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3993977308273315, "eval_runtime": 0.1631, "eval_samples_per_second": 67.45, "eval_steps_per_second": 6.132, "step": 24 }, { "epoch": 25.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3649417161941528, "eval_runtime": 0.1636, "eval_samples_per_second": 67.235, "eval_steps_per_second": 6.112, "step": 25 }, { "epoch": 26.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3244379758834839, "eval_runtime": 0.1588, "eval_samples_per_second": 69.274, "eval_steps_per_second": 6.298, "step": 26 }, { "epoch": 27.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2861114740371704, "eval_runtime": 0.1648, "eval_samples_per_second": 66.756, "eval_steps_per_second": 6.069, "step": 27 }, { "epoch": 28.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1633926630020142, "eval_runtime": 0.1631, "eval_samples_per_second": 67.444, "eval_steps_per_second": 6.131, "step": 28 }, { "epoch": 29.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9854040741920471, "eval_runtime": 0.1628, "eval_samples_per_second": 67.588, "eval_steps_per_second": 6.144, "step": 29 }, { "epoch": 30.0, "grad_norm": 3.8071939945220947, "learning_rate": 3.888888888888889e-05, "loss": 0.1374, "step": 30 }, { "epoch": 30.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0608080625534058, "eval_runtime": 0.1613, "eval_samples_per_second": 68.183, "eval_steps_per_second": 6.198, "step": 30 }, { "epoch": 31.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3091832399368286, "eval_runtime": 0.1661, "eval_samples_per_second": 66.23, "eval_steps_per_second": 6.021, "step": 31 }, { "epoch": 32.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4678875207901, "eval_runtime": 0.1668, "eval_samples_per_second": 65.935, "eval_steps_per_second": 5.994, "step": 32 }, { "epoch": 33.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4396743774414062, "eval_runtime": 0.1611, "eval_samples_per_second": 68.27, "eval_steps_per_second": 6.206, "step": 33 }, { "epoch": 34.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2948559522628784, "eval_runtime": 0.1641, "eval_samples_per_second": 67.029, "eval_steps_per_second": 6.094, "step": 34 }, { "epoch": 35.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2339611053466797, "eval_runtime": 0.1662, "eval_samples_per_second": 66.194, "eval_steps_per_second": 6.018, "step": 35 }, { "epoch": 36.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2524040937423706, "eval_runtime": 0.1641, "eval_samples_per_second": 67.031, "eval_steps_per_second": 6.094, "step": 36 }, { "epoch": 37.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.210758090019226, "eval_runtime": 0.1604, "eval_samples_per_second": 68.59, "eval_steps_per_second": 6.235, "step": 37 }, { "epoch": 38.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1877820491790771, "eval_runtime": 0.1614, "eval_samples_per_second": 68.163, "eval_steps_per_second": 6.197, "step": 38 }, { "epoch": 39.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.140025019645691, "eval_runtime": 0.1672, "eval_samples_per_second": 65.771, "eval_steps_per_second": 5.979, "step": 39 }, { "epoch": 40.0, "grad_norm": 3.4294357299804688, "learning_rate": 3.3333333333333335e-05, "loss": 0.0886, "step": 40 }, { "epoch": 40.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1185942888259888, "eval_runtime": 0.1634, "eval_samples_per_second": 67.302, "eval_steps_per_second": 6.118, "step": 40 }, { "epoch": 41.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3144683837890625, "eval_runtime": 0.1649, "eval_samples_per_second": 66.707, "eval_steps_per_second": 6.064, "step": 41 }, { "epoch": 42.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4748523235321045, "eval_runtime": 0.171, "eval_samples_per_second": 64.325, "eval_steps_per_second": 5.848, "step": 42 }, { "epoch": 43.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5772589445114136, "eval_runtime": 0.1605, "eval_samples_per_second": 68.525, "eval_steps_per_second": 6.23, "step": 43 }, { "epoch": 44.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6792014837265015, "eval_runtime": 0.1601, "eval_samples_per_second": 68.694, "eval_steps_per_second": 6.245, "step": 44 }, { "epoch": 45.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7716128826141357, "eval_runtime": 0.1623, "eval_samples_per_second": 67.797, "eval_steps_per_second": 6.163, "step": 45 }, { "epoch": 46.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8942890167236328, "eval_runtime": 0.1652, "eval_samples_per_second": 66.588, "eval_steps_per_second": 6.053, "step": 46 }, { "epoch": 47.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8541417121887207, "eval_runtime": 0.1633, "eval_samples_per_second": 67.353, "eval_steps_per_second": 6.123, "step": 47 }, { "epoch": 48.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.665623426437378, "eval_runtime": 0.1606, "eval_samples_per_second": 68.506, "eval_steps_per_second": 6.228, "step": 48 }, { "epoch": 49.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4896851778030396, "eval_runtime": 0.1632, "eval_samples_per_second": 67.4, "eval_steps_per_second": 6.127, "step": 49 }, { "epoch": 50.0, "grad_norm": 1.571501612663269, "learning_rate": 2.777777777777778e-05, "loss": 0.0509, "step": 50 }, { "epoch": 50.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2921388149261475, "eval_runtime": 0.1629, "eval_samples_per_second": 67.52, "eval_steps_per_second": 6.138, "step": 50 }, { "epoch": 51.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.202133059501648, "eval_runtime": 0.1643, "eval_samples_per_second": 66.963, "eval_steps_per_second": 6.088, "step": 51 }, { "epoch": 52.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2643142938613892, "eval_runtime": 0.1645, "eval_samples_per_second": 66.855, "eval_steps_per_second": 6.078, "step": 52 }, { "epoch": 53.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4621602296829224, "eval_runtime": 0.1659, "eval_samples_per_second": 66.297, "eval_steps_per_second": 6.027, "step": 53 }, { "epoch": 54.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5043293237686157, "eval_runtime": 0.1615, "eval_samples_per_second": 68.097, "eval_steps_per_second": 6.191, "step": 54 }, { "epoch": 55.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5063341856002808, "eval_runtime": 0.1597, "eval_samples_per_second": 68.859, "eval_steps_per_second": 6.26, "step": 55 }, { "epoch": 56.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.460426688194275, "eval_runtime": 0.1598, "eval_samples_per_second": 68.857, "eval_steps_per_second": 6.26, "step": 56 }, { "epoch": 57.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.341434359550476, "eval_runtime": 0.1593, "eval_samples_per_second": 69.031, "eval_steps_per_second": 6.276, "step": 57 }, { "epoch": 58.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1789151430130005, "eval_runtime": 0.1605, "eval_samples_per_second": 68.543, "eval_steps_per_second": 6.231, "step": 58 }, { "epoch": 59.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.17151939868927, "eval_runtime": 0.1618, "eval_samples_per_second": 67.979, "eval_steps_per_second": 6.18, "step": 59 }, { "epoch": 60.0, "grad_norm": 0.6576238870620728, "learning_rate": 2.2222222222222223e-05, "loss": 0.0471, "step": 60 }, { "epoch": 60.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.255001187324524, "eval_runtime": 0.1599, "eval_samples_per_second": 68.777, "eval_steps_per_second": 6.252, "step": 60 }, { "epoch": 61.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3513411283493042, "eval_runtime": 0.1668, "eval_samples_per_second": 65.936, "eval_steps_per_second": 5.994, "step": 61 }, { "epoch": 62.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4921551942825317, "eval_runtime": 0.1601, "eval_samples_per_second": 68.712, "eval_steps_per_second": 6.247, "step": 62 }, { "epoch": 63.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6911064386367798, "eval_runtime": 0.1646, "eval_samples_per_second": 66.845, "eval_steps_per_second": 6.077, "step": 63 }, { "epoch": 64.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7746772766113281, "eval_runtime": 0.1598, "eval_samples_per_second": 68.851, "eval_steps_per_second": 6.259, "step": 64 }, { "epoch": 65.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7659435272216797, "eval_runtime": 0.1605, "eval_samples_per_second": 68.552, "eval_steps_per_second": 6.232, "step": 65 }, { "epoch": 66.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6729789972305298, "eval_runtime": 0.1665, "eval_samples_per_second": 66.075, "eval_steps_per_second": 6.007, "step": 66 }, { "epoch": 67.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5296233892440796, "eval_runtime": 0.1752, "eval_samples_per_second": 62.779, "eval_steps_per_second": 5.707, "step": 67 }, { "epoch": 68.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.497283935546875, "eval_runtime": 0.1653, "eval_samples_per_second": 66.538, "eval_steps_per_second": 6.049, "step": 68 }, { "epoch": 69.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4649982452392578, "eval_runtime": 0.1608, "eval_samples_per_second": 68.421, "eval_steps_per_second": 6.22, "step": 69 }, { "epoch": 70.0, "grad_norm": 2.330393075942993, "learning_rate": 1.6666666666666667e-05, "loss": 0.0212, "step": 70 }, { "epoch": 70.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4969764947891235, "eval_runtime": 0.1601, "eval_samples_per_second": 68.703, "eval_steps_per_second": 6.246, "step": 70 }, { "epoch": 71.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5021611452102661, "eval_runtime": 0.1647, "eval_samples_per_second": 66.792, "eval_steps_per_second": 6.072, "step": 71 }, { "epoch": 72.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5275318622589111, "eval_runtime": 0.1611, "eval_samples_per_second": 68.289, "eval_steps_per_second": 6.208, "step": 72 }, { "epoch": 73.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5780352354049683, "eval_runtime": 0.1625, "eval_samples_per_second": 67.706, "eval_steps_per_second": 6.155, "step": 73 }, { "epoch": 74.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.714918851852417, "eval_runtime": 0.1604, "eval_samples_per_second": 68.585, "eval_steps_per_second": 6.235, "step": 74 }, { "epoch": 75.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8055766820907593, "eval_runtime": 0.165, "eval_samples_per_second": 66.661, "eval_steps_per_second": 6.06, "step": 75 }, { "epoch": 76.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8394047021865845, "eval_runtime": 0.165, "eval_samples_per_second": 66.656, "eval_steps_per_second": 6.06, "step": 76 }, { "epoch": 77.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8526023626327515, "eval_runtime": 0.1626, "eval_samples_per_second": 67.651, "eval_steps_per_second": 6.15, "step": 77 }, { "epoch": 78.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.794382095336914, "eval_runtime": 0.1959, "eval_samples_per_second": 56.138, "eval_steps_per_second": 5.103, "step": 78 }, { "epoch": 79.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7440181970596313, "eval_runtime": 0.1629, "eval_samples_per_second": 67.546, "eval_steps_per_second": 6.141, "step": 79 }, { "epoch": 80.0, "grad_norm": 1.3924683332443237, "learning_rate": 1.1111111111111112e-05, "loss": 0.0313, "step": 80 }, { "epoch": 80.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.699449896812439, "eval_runtime": 0.1553, "eval_samples_per_second": 70.817, "eval_steps_per_second": 6.438, "step": 80 }, { "epoch": 81.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6076394319534302, "eval_runtime": 0.1656, "eval_samples_per_second": 66.42, "eval_steps_per_second": 6.038, "step": 81 }, { "epoch": 82.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5752601623535156, "eval_runtime": 0.1584, "eval_samples_per_second": 69.43, "eval_steps_per_second": 6.312, "step": 82 }, { "epoch": 83.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5831207036972046, "eval_runtime": 0.1714, "eval_samples_per_second": 64.168, "eval_steps_per_second": 5.833, "step": 83 }, { "epoch": 84.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5471209287643433, "eval_runtime": 0.1648, "eval_samples_per_second": 66.756, "eval_steps_per_second": 6.069, "step": 84 }, { "epoch": 85.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5600395202636719, "eval_runtime": 0.1603, "eval_samples_per_second": 68.607, "eval_steps_per_second": 6.237, "step": 85 }, { "epoch": 86.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.583156943321228, "eval_runtime": 0.1649, "eval_samples_per_second": 66.722, "eval_steps_per_second": 6.066, "step": 86 }, { "epoch": 87.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5818580389022827, "eval_runtime": 0.1646, "eval_samples_per_second": 66.827, "eval_steps_per_second": 6.075, "step": 87 }, { "epoch": 88.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6053249835968018, "eval_runtime": 0.1634, "eval_samples_per_second": 67.338, "eval_steps_per_second": 6.122, "step": 88 }, { "epoch": 89.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6329036951065063, "eval_runtime": 0.1657, "eval_samples_per_second": 66.376, "eval_steps_per_second": 6.034, "step": 89 }, { "epoch": 90.0, "grad_norm": 1.730581283569336, "learning_rate": 5.555555555555556e-06, "loss": 0.0205, "step": 90 }, { "epoch": 90.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6750754117965698, "eval_runtime": 0.1601, "eval_samples_per_second": 68.705, "eval_steps_per_second": 6.246, "step": 90 }, { "epoch": 91.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6956837177276611, "eval_runtime": 0.1605, "eval_samples_per_second": 68.544, "eval_steps_per_second": 6.231, "step": 91 }, { "epoch": 92.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7326122522354126, "eval_runtime": 0.1627, "eval_samples_per_second": 67.592, "eval_steps_per_second": 6.145, "step": 92 }, { "epoch": 93.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7474762201309204, "eval_runtime": 0.1609, "eval_samples_per_second": 68.37, "eval_steps_per_second": 6.215, "step": 93 }, { "epoch": 94.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7503242492675781, "eval_runtime": 0.1663, "eval_samples_per_second": 66.152, "eval_steps_per_second": 6.014, "step": 94 }, { "epoch": 95.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7442704439163208, "eval_runtime": 0.1639, "eval_samples_per_second": 67.112, "eval_steps_per_second": 6.101, "step": 95 }, { "epoch": 96.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7483036518096924, "eval_runtime": 0.1641, "eval_samples_per_second": 67.017, "eval_steps_per_second": 6.092, "step": 96 }, { "epoch": 97.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7523319721221924, "eval_runtime": 0.1673, "eval_samples_per_second": 65.749, "eval_steps_per_second": 5.977, "step": 97 }, { "epoch": 98.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7516257762908936, "eval_runtime": 0.1645, "eval_samples_per_second": 66.87, "eval_steps_per_second": 6.079, "step": 98 }, { "epoch": 99.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7482516765594482, "eval_runtime": 0.1619, "eval_samples_per_second": 67.939, "eval_steps_per_second": 6.176, "step": 99 }, { "epoch": 100.0, "grad_norm": 2.2856013774871826, "learning_rate": 0.0, "loss": 0.0334, "step": 100 }, { "epoch": 100.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7462173700332642, "eval_runtime": 0.1596, "eval_samples_per_second": 68.913, "eval_steps_per_second": 6.265, "step": 100 }, { "epoch": 100.0, "step": 100, "total_flos": 4.570114227259392e+17, "train_loss": 0.09494904980063439, "train_runtime": 412.6058, "train_samples_per_second": 14.299, "train_steps_per_second": 0.242 }, { "epoch": 100.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9257901906967163, "eval_runtime": 0.2042, "eval_samples_per_second": 53.876, "eval_steps_per_second": 4.898, "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 }