{ "best_metric": 0.7272727272727273, "best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-85-fold4/checkpoint-5", "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": 0.0, "eval_loss": 2.0908453464508057, "eval_runtime": 0.176, "eval_samples_per_second": 62.496, "eval_steps_per_second": 5.681, "step": 1 }, { "epoch": 2.0, "eval_accuracy": 0.0, "eval_loss": 1.8863940238952637, "eval_runtime": 0.1665, "eval_samples_per_second": 66.07, "eval_steps_per_second": 6.006, "step": 2 }, { "epoch": 3.0, "eval_accuracy": 0.0, "eval_loss": 1.531255841255188, "eval_runtime": 0.1783, "eval_samples_per_second": 61.703, "eval_steps_per_second": 5.609, "step": 3 }, { "epoch": 4.0, "eval_accuracy": 0.36363636363636365, "eval_loss": 1.152018427848816, "eval_runtime": 0.1729, "eval_samples_per_second": 63.617, "eval_steps_per_second": 5.783, "step": 4 }, { "epoch": 5.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9542110562324524, "eval_runtime": 0.1767, "eval_samples_per_second": 62.268, "eval_steps_per_second": 5.661, "step": 5 }, { "epoch": 6.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0324329137802124, "eval_runtime": 0.17, "eval_samples_per_second": 64.704, "eval_steps_per_second": 5.882, "step": 6 }, { "epoch": 7.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1791726350784302, "eval_runtime": 0.1753, "eval_samples_per_second": 62.76, "eval_steps_per_second": 5.705, "step": 7 }, { "epoch": 8.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2680414915084839, "eval_runtime": 0.1732, "eval_samples_per_second": 63.512, "eval_steps_per_second": 5.774, "step": 8 }, { "epoch": 9.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2078349590301514, "eval_runtime": 0.1753, "eval_samples_per_second": 62.764, "eval_steps_per_second": 5.706, "step": 9 }, { "epoch": 10.0, "grad_norm": 1.6796222925186157, "learning_rate": 5e-05, "loss": 0.4805, "step": 10 }, { "epoch": 10.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.159353494644165, "eval_runtime": 0.1705, "eval_samples_per_second": 64.535, "eval_steps_per_second": 5.867, "step": 10 }, { "epoch": 11.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1603728532791138, "eval_runtime": 0.1692, "eval_samples_per_second": 65.006, "eval_steps_per_second": 5.91, "step": 11 }, { "epoch": 12.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1109801530838013, "eval_runtime": 0.1707, "eval_samples_per_second": 64.449, "eval_steps_per_second": 5.859, "step": 12 }, { "epoch": 13.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1073939800262451, "eval_runtime": 0.1697, "eval_samples_per_second": 64.813, "eval_steps_per_second": 5.892, "step": 13 }, { "epoch": 14.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.1010178327560425, "eval_runtime": 0.1677, "eval_samples_per_second": 65.604, "eval_steps_per_second": 5.964, "step": 14 }, { "epoch": 15.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0594475269317627, "eval_runtime": 0.1682, "eval_samples_per_second": 65.406, "eval_steps_per_second": 5.946, "step": 15 }, { "epoch": 16.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.0675151348114014, "eval_runtime": 0.1681, "eval_samples_per_second": 65.438, "eval_steps_per_second": 5.949, "step": 16 }, { "epoch": 17.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.168864130973816, "eval_runtime": 0.1694, "eval_samples_per_second": 64.924, "eval_steps_per_second": 5.902, "step": 17 }, { "epoch": 18.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.2629767656326294, "eval_runtime": 0.1679, "eval_samples_per_second": 65.502, "eval_steps_per_second": 5.955, "step": 18 }, { "epoch": 19.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3017388582229614, "eval_runtime": 0.1683, "eval_samples_per_second": 65.373, "eval_steps_per_second": 5.943, "step": 19 }, { "epoch": 20.0, "grad_norm": 2.425222158432007, "learning_rate": 4.4444444444444447e-05, "loss": 0.1904, "step": 20 }, { "epoch": 20.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3082902431488037, "eval_runtime": 0.1663, "eval_samples_per_second": 66.163, "eval_steps_per_second": 6.015, "step": 20 }, { "epoch": 21.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.3764029741287231, "eval_runtime": 0.1644, "eval_samples_per_second": 66.912, "eval_steps_per_second": 6.083, "step": 21 }, { "epoch": 22.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4228819608688354, "eval_runtime": 0.1685, "eval_samples_per_second": 65.281, "eval_steps_per_second": 5.935, "step": 22 }, { "epoch": 23.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4829826354980469, "eval_runtime": 0.1675, "eval_samples_per_second": 65.667, "eval_steps_per_second": 5.97, "step": 23 }, { "epoch": 24.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4698455333709717, "eval_runtime": 0.1727, "eval_samples_per_second": 63.676, "eval_steps_per_second": 5.789, "step": 24 }, { "epoch": 25.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4946540594100952, "eval_runtime": 0.1741, "eval_samples_per_second": 63.2, "eval_steps_per_second": 5.745, "step": 25 }, { "epoch": 26.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5838810205459595, "eval_runtime": 0.1781, "eval_samples_per_second": 61.761, "eval_steps_per_second": 5.615, "step": 26 }, { "epoch": 27.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7219489812850952, "eval_runtime": 0.171, "eval_samples_per_second": 64.317, "eval_steps_per_second": 5.847, "step": 27 }, { "epoch": 28.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7473819255828857, "eval_runtime": 0.1677, "eval_samples_per_second": 65.576, "eval_steps_per_second": 5.961, "step": 28 }, { "epoch": 29.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6644595861434937, "eval_runtime": 0.1699, "eval_samples_per_second": 64.736, "eval_steps_per_second": 5.885, "step": 29 }, { "epoch": 30.0, "grad_norm": 1.4546806812286377, "learning_rate": 3.888888888888889e-05, "loss": 0.1472, "step": 30 }, { "epoch": 30.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5987972021102905, "eval_runtime": 0.1768, "eval_samples_per_second": 62.212, "eval_steps_per_second": 5.656, "step": 30 }, { "epoch": 31.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.570302128791809, "eval_runtime": 0.1813, "eval_samples_per_second": 60.658, "eval_steps_per_second": 5.514, "step": 31 }, { "epoch": 32.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5965434312820435, "eval_runtime": 0.1753, "eval_samples_per_second": 62.751, "eval_steps_per_second": 5.705, "step": 32 }, { "epoch": 33.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.661800742149353, "eval_runtime": 0.1773, "eval_samples_per_second": 62.046, "eval_steps_per_second": 5.641, "step": 33 }, { "epoch": 34.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.6431862115859985, "eval_runtime": 0.1709, "eval_samples_per_second": 64.381, "eval_steps_per_second": 5.853, "step": 34 }, { "epoch": 35.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.5392369031906128, "eval_runtime": 0.1749, "eval_samples_per_second": 62.897, "eval_steps_per_second": 5.718, "step": 35 }, { "epoch": 36.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4367867708206177, "eval_runtime": 0.1732, "eval_samples_per_second": 63.525, "eval_steps_per_second": 5.775, "step": 36 }, { "epoch": 37.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4018795490264893, "eval_runtime": 0.1763, "eval_samples_per_second": 62.392, "eval_steps_per_second": 5.672, "step": 37 }, { "epoch": 38.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.4714306592941284, "eval_runtime": 0.1707, "eval_samples_per_second": 64.459, "eval_steps_per_second": 5.86, "step": 38 }, { "epoch": 39.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7523380517959595, "eval_runtime": 0.1761, "eval_samples_per_second": 62.479, "eval_steps_per_second": 5.68, "step": 39 }, { "epoch": 40.0, "grad_norm": 3.4498791694641113, "learning_rate": 3.3333333333333335e-05, "loss": 0.0741, "step": 40 }, { "epoch": 40.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.865343451499939, "eval_runtime": 0.1669, "eval_samples_per_second": 65.911, "eval_steps_per_second": 5.992, "step": 40 }, { "epoch": 41.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8965870141983032, "eval_runtime": 0.1763, "eval_samples_per_second": 62.394, "eval_steps_per_second": 5.672, "step": 41 }, { "epoch": 42.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8252369165420532, "eval_runtime": 0.1737, "eval_samples_per_second": 63.318, "eval_steps_per_second": 5.756, "step": 42 }, { "epoch": 43.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8432804346084595, "eval_runtime": 0.175, "eval_samples_per_second": 62.868, "eval_steps_per_second": 5.715, "step": 43 }, { "epoch": 44.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7326781749725342, "eval_runtime": 0.1711, "eval_samples_per_second": 64.288, "eval_steps_per_second": 5.844, "step": 44 }, { "epoch": 45.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.745629906654358, "eval_runtime": 0.1698, "eval_samples_per_second": 64.769, "eval_steps_per_second": 5.888, "step": 45 }, { "epoch": 46.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.894829273223877, "eval_runtime": 0.1694, "eval_samples_per_second": 64.945, "eval_steps_per_second": 5.904, "step": 46 }, { "epoch": 47.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8810946941375732, "eval_runtime": 0.174, "eval_samples_per_second": 63.202, "eval_steps_per_second": 5.746, "step": 47 }, { "epoch": 48.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8930473327636719, "eval_runtime": 0.1802, "eval_samples_per_second": 61.031, "eval_steps_per_second": 5.548, "step": 48 }, { "epoch": 49.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8065048456192017, "eval_runtime": 0.1789, "eval_samples_per_second": 61.489, "eval_steps_per_second": 5.59, "step": 49 }, { "epoch": 50.0, "grad_norm": 1.586561918258667, "learning_rate": 2.777777777777778e-05, "loss": 0.0506, "step": 50 }, { "epoch": 50.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7629249095916748, "eval_runtime": 0.162, "eval_samples_per_second": 67.915, "eval_steps_per_second": 6.174, "step": 50 }, { "epoch": 51.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.7893092632293701, "eval_runtime": 0.1708, "eval_samples_per_second": 64.418, "eval_steps_per_second": 5.856, "step": 51 }, { "epoch": 52.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.876960277557373, "eval_runtime": 0.1703, "eval_samples_per_second": 64.587, "eval_steps_per_second": 5.872, "step": 52 }, { "epoch": 53.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.9144260883331299, "eval_runtime": 0.176, "eval_samples_per_second": 62.497, "eval_steps_per_second": 5.682, "step": 53 }, { "epoch": 54.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.0357284545898438, "eval_runtime": 0.1764, "eval_samples_per_second": 62.356, "eval_steps_per_second": 5.669, "step": 54 }, { "epoch": 55.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.210261583328247, "eval_runtime": 0.1794, "eval_samples_per_second": 61.314, "eval_steps_per_second": 5.574, "step": 55 }, { "epoch": 56.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.256763219833374, "eval_runtime": 0.1747, "eval_samples_per_second": 62.979, "eval_steps_per_second": 5.725, "step": 56 }, { "epoch": 57.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.2400619983673096, "eval_runtime": 0.1705, "eval_samples_per_second": 64.515, "eval_steps_per_second": 5.865, "step": 57 }, { "epoch": 58.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.140550374984741, "eval_runtime": 0.1738, "eval_samples_per_second": 63.306, "eval_steps_per_second": 5.755, "step": 58 }, { "epoch": 59.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.027967929840088, "eval_runtime": 0.1674, "eval_samples_per_second": 65.703, "eval_steps_per_second": 5.973, "step": 59 }, { "epoch": 60.0, "grad_norm": 0.3207845091819763, "learning_rate": 2.2222222222222223e-05, "loss": 0.0355, "step": 60 }, { "epoch": 60.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.9516960382461548, "eval_runtime": 0.1682, "eval_samples_per_second": 65.399, "eval_steps_per_second": 5.945, "step": 60 }, { "epoch": 61.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8787117004394531, "eval_runtime": 0.1705, "eval_samples_per_second": 64.52, "eval_steps_per_second": 5.865, "step": 61 }, { "epoch": 62.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.8958450555801392, "eval_runtime": 0.1776, "eval_samples_per_second": 61.949, "eval_steps_per_second": 5.632, "step": 62 }, { "epoch": 63.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 1.9893440008163452, "eval_runtime": 0.1715, "eval_samples_per_second": 64.156, "eval_steps_per_second": 5.832, "step": 63 }, { "epoch": 64.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.1194653511047363, "eval_runtime": 0.169, "eval_samples_per_second": 65.094, "eval_steps_per_second": 5.918, "step": 64 }, { "epoch": 65.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.271503210067749, "eval_runtime": 0.1759, "eval_samples_per_second": 62.532, "eval_steps_per_second": 5.685, "step": 65 }, { "epoch": 66.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.364030599594116, "eval_runtime": 0.1726, "eval_samples_per_second": 63.725, "eval_steps_per_second": 5.793, "step": 66 }, { "epoch": 67.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.4390556812286377, "eval_runtime": 0.171, "eval_samples_per_second": 64.312, "eval_steps_per_second": 5.847, "step": 67 }, { "epoch": 68.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.4633097648620605, "eval_runtime": 0.1695, "eval_samples_per_second": 64.911, "eval_steps_per_second": 5.901, "step": 68 }, { "epoch": 69.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.44889235496521, "eval_runtime": 0.1727, "eval_samples_per_second": 63.701, "eval_steps_per_second": 5.791, "step": 69 }, { "epoch": 70.0, "grad_norm": 0.9859403371810913, "learning_rate": 1.6666666666666667e-05, "loss": 0.021, "step": 70 }, { "epoch": 70.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.4176981449127197, "eval_runtime": 0.1698, "eval_samples_per_second": 64.773, "eval_steps_per_second": 5.888, "step": 70 }, { "epoch": 71.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3674123287200928, "eval_runtime": 0.1737, "eval_samples_per_second": 63.324, "eval_steps_per_second": 5.757, "step": 71 }, { "epoch": 72.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.306504011154175, "eval_runtime": 0.1712, "eval_samples_per_second": 64.26, "eval_steps_per_second": 5.842, "step": 72 }, { "epoch": 73.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.297823190689087, "eval_runtime": 0.1707, "eval_samples_per_second": 64.433, "eval_steps_per_second": 5.858, "step": 73 }, { "epoch": 74.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.358968496322632, "eval_runtime": 0.1759, "eval_samples_per_second": 62.545, "eval_steps_per_second": 5.686, "step": 74 }, { "epoch": 75.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.4276845455169678, "eval_runtime": 0.1709, "eval_samples_per_second": 64.358, "eval_steps_per_second": 5.851, "step": 75 }, { "epoch": 76.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.5219666957855225, "eval_runtime": 0.1666, "eval_samples_per_second": 66.046, "eval_steps_per_second": 6.004, "step": 76 }, { "epoch": 77.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.6248342990875244, "eval_runtime": 0.1704, "eval_samples_per_second": 64.551, "eval_steps_per_second": 5.868, "step": 77 }, { "epoch": 78.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.6924915313720703, "eval_runtime": 0.1781, "eval_samples_per_second": 61.76, "eval_steps_per_second": 5.615, "step": 78 }, { "epoch": 79.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.7284491062164307, "eval_runtime": 0.1728, "eval_samples_per_second": 63.641, "eval_steps_per_second": 5.786, "step": 79 }, { "epoch": 80.0, "grad_norm": 1.2645738124847412, "learning_rate": 1.1111111111111112e-05, "loss": 0.0346, "step": 80 }, { "epoch": 80.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.740863084793091, "eval_runtime": 0.1665, "eval_samples_per_second": 66.083, "eval_steps_per_second": 6.008, "step": 80 }, { "epoch": 81.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.7218360900878906, "eval_runtime": 0.1684, "eval_samples_per_second": 65.316, "eval_steps_per_second": 5.938, "step": 81 }, { "epoch": 82.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.6717374324798584, "eval_runtime": 0.1706, "eval_samples_per_second": 64.491, "eval_steps_per_second": 5.863, "step": 82 }, { "epoch": 83.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.614175796508789, "eval_runtime": 0.1719, "eval_samples_per_second": 64.002, "eval_steps_per_second": 5.818, "step": 83 }, { "epoch": 84.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.519634485244751, "eval_runtime": 0.1662, "eval_samples_per_second": 66.169, "eval_steps_per_second": 6.015, "step": 84 }, { "epoch": 85.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.4437661170959473, "eval_runtime": 0.1688, "eval_samples_per_second": 65.155, "eval_steps_per_second": 5.923, "step": 85 }, { "epoch": 86.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.381150007247925, "eval_runtime": 0.171, "eval_samples_per_second": 64.318, "eval_steps_per_second": 5.847, "step": 86 }, { "epoch": 87.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3026392459869385, "eval_runtime": 0.1756, "eval_samples_per_second": 62.625, "eval_steps_per_second": 5.693, "step": 87 }, { "epoch": 88.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.269089460372925, "eval_runtime": 0.1704, "eval_samples_per_second": 64.567, "eval_steps_per_second": 5.87, "step": 88 }, { "epoch": 89.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.2665257453918457, "eval_runtime": 0.1725, "eval_samples_per_second": 63.767, "eval_steps_per_second": 5.797, "step": 89 }, { "epoch": 90.0, "grad_norm": 1.038275957107544, "learning_rate": 5.555555555555556e-06, "loss": 0.0219, "step": 90 }, { "epoch": 90.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.2659270763397217, "eval_runtime": 0.1644, "eval_samples_per_second": 66.891, "eval_steps_per_second": 6.081, "step": 90 }, { "epoch": 91.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.27345609664917, "eval_runtime": 0.172, "eval_samples_per_second": 63.936, "eval_steps_per_second": 5.812, "step": 91 }, { "epoch": 92.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.300039529800415, "eval_runtime": 0.1731, "eval_samples_per_second": 63.552, "eval_steps_per_second": 5.777, "step": 92 }, { "epoch": 93.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.313608407974243, "eval_runtime": 0.1696, "eval_samples_per_second": 64.87, "eval_steps_per_second": 5.897, "step": 93 }, { "epoch": 94.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.324737071990967, "eval_runtime": 0.1718, "eval_samples_per_second": 64.032, "eval_steps_per_second": 5.821, "step": 94 }, { "epoch": 95.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3388283252716064, "eval_runtime": 0.1708, "eval_samples_per_second": 64.404, "eval_steps_per_second": 5.855, "step": 95 }, { "epoch": 96.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3597023487091064, "eval_runtime": 0.1716, "eval_samples_per_second": 64.094, "eval_steps_per_second": 5.827, "step": 96 }, { "epoch": 97.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3746063709259033, "eval_runtime": 0.1715, "eval_samples_per_second": 64.137, "eval_steps_per_second": 5.831, "step": 97 }, { "epoch": 98.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.386420488357544, "eval_runtime": 0.1732, "eval_samples_per_second": 63.509, "eval_steps_per_second": 5.774, "step": 98 }, { "epoch": 99.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.391254186630249, "eval_runtime": 0.1692, "eval_samples_per_second": 64.995, "eval_steps_per_second": 5.909, "step": 99 }, { "epoch": 100.0, "grad_norm": 0.8429810404777527, "learning_rate": 0.0, "loss": 0.0286, "step": 100 }, { "epoch": 100.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 2.3933160305023193, "eval_runtime": 0.1621, "eval_samples_per_second": 67.872, "eval_steps_per_second": 6.17, "step": 100 }, { "epoch": 100.0, "step": 100, "total_flos": 4.572150213593088e+17, "train_loss": 0.10843914225697518, "train_runtime": 416.0402, "train_samples_per_second": 14.181, "train_steps_per_second": 0.24 }, { "epoch": 100.0, "eval_accuracy": 0.7272727272727273, "eval_loss": 0.9542110562324524, "eval_runtime": 0.2165, "eval_samples_per_second": 50.803, "eval_steps_per_second": 4.618, "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": 4.572150213593088e+17, "train_batch_size": 32, "trial_name": null, "trial_params": null }