{ "best_metric": 0.8591549295774648, "best_model_checkpoint": "beit-base-patch16-224-65-fold3/checkpoint-97", "epoch": 92.3076923076923, "eval_steps": 500, "global_step": 300, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.9230769230769231, "eval_accuracy": 0.5211267605633803, "eval_loss": 0.8549354672431946, "eval_runtime": 1.1595, "eval_samples_per_second": 61.235, "eval_steps_per_second": 2.587, "step": 3 }, { "epoch": 1.8461538461538463, "eval_accuracy": 0.5633802816901409, "eval_loss": 0.697589099407196, "eval_runtime": 1.1208, "eval_samples_per_second": 63.345, "eval_steps_per_second": 2.677, "step": 6 }, { "epoch": 2.769230769230769, "eval_accuracy": 0.5633802816901409, "eval_loss": 0.6808653473854065, "eval_runtime": 1.0746, "eval_samples_per_second": 66.072, "eval_steps_per_second": 2.792, "step": 9 }, { "epoch": 3.076923076923077, "grad_norm": 5.197551727294922, "learning_rate": 1.6666666666666667e-05, "loss": 0.7778, "step": 10 }, { "epoch": 4.0, "eval_accuracy": 0.6056338028169014, "eval_loss": 0.645892322063446, "eval_runtime": 1.0976, "eval_samples_per_second": 64.689, "eval_steps_per_second": 2.733, "step": 13 }, { "epoch": 4.923076923076923, "eval_accuracy": 0.6338028169014085, "eval_loss": 0.6352745294570923, "eval_runtime": 1.1067, "eval_samples_per_second": 64.154, "eval_steps_per_second": 2.711, "step": 16 }, { "epoch": 5.846153846153846, "eval_accuracy": 0.6197183098591549, "eval_loss": 0.6140676736831665, "eval_runtime": 1.1233, "eval_samples_per_second": 63.206, "eval_steps_per_second": 2.671, "step": 19 }, { "epoch": 6.153846153846154, "grad_norm": 8.811356544494629, "learning_rate": 3.3333333333333335e-05, "loss": 0.6542, "step": 20 }, { "epoch": 6.769230769230769, "eval_accuracy": 0.6056338028169014, "eval_loss": 0.6002594232559204, "eval_runtime": 1.0899, "eval_samples_per_second": 65.144, "eval_steps_per_second": 2.753, "step": 22 }, { "epoch": 8.0, "eval_accuracy": 0.676056338028169, "eval_loss": 0.6167530417442322, "eval_runtime": 1.1246, "eval_samples_per_second": 63.133, "eval_steps_per_second": 2.668, "step": 26 }, { "epoch": 8.923076923076923, "eval_accuracy": 0.6901408450704225, "eval_loss": 0.5781181454658508, "eval_runtime": 1.1021, "eval_samples_per_second": 64.421, "eval_steps_per_second": 2.722, "step": 29 }, { "epoch": 9.23076923076923, "grad_norm": 11.113332748413086, "learning_rate": 5e-05, "loss": 0.5817, "step": 30 }, { "epoch": 9.846153846153847, "eval_accuracy": 0.7323943661971831, "eval_loss": 0.5710453391075134, "eval_runtime": 1.1302, "eval_samples_per_second": 62.82, "eval_steps_per_second": 2.654, "step": 32 }, { "epoch": 10.76923076923077, "eval_accuracy": 0.7464788732394366, "eval_loss": 0.5344887971878052, "eval_runtime": 1.0983, "eval_samples_per_second": 64.645, "eval_steps_per_second": 2.731, "step": 35 }, { "epoch": 12.0, "eval_accuracy": 0.647887323943662, "eval_loss": 0.6058281064033508, "eval_runtime": 1.0953, "eval_samples_per_second": 64.82, "eval_steps_per_second": 2.739, "step": 39 }, { "epoch": 12.307692307692308, "grad_norm": 7.416208744049072, "learning_rate": 4.814814814814815e-05, "loss": 0.513, "step": 40 }, { "epoch": 12.923076923076923, "eval_accuracy": 0.704225352112676, "eval_loss": 0.6432794332504272, "eval_runtime": 1.1166, "eval_samples_per_second": 63.586, "eval_steps_per_second": 2.687, "step": 42 }, { "epoch": 13.846153846153847, "eval_accuracy": 0.704225352112676, "eval_loss": 0.5830168128013611, "eval_runtime": 1.0859, "eval_samples_per_second": 65.381, "eval_steps_per_second": 2.763, "step": 45 }, { "epoch": 14.76923076923077, "eval_accuracy": 0.704225352112676, "eval_loss": 0.6167191863059998, "eval_runtime": 1.1037, "eval_samples_per_second": 64.331, "eval_steps_per_second": 2.718, "step": 48 }, { "epoch": 15.384615384615385, "grad_norm": 4.344594955444336, "learning_rate": 4.62962962962963e-05, "loss": 0.4756, "step": 50 }, { "epoch": 16.0, "eval_accuracy": 0.6338028169014085, "eval_loss": 0.7304334044456482, "eval_runtime": 1.1067, "eval_samples_per_second": 64.155, "eval_steps_per_second": 2.711, "step": 52 }, { "epoch": 16.923076923076923, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.5485327839851379, "eval_runtime": 1.1071, "eval_samples_per_second": 64.132, "eval_steps_per_second": 2.71, "step": 55 }, { "epoch": 17.846153846153847, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.5166436433792114, "eval_runtime": 1.1089, "eval_samples_per_second": 64.028, "eval_steps_per_second": 2.705, "step": 58 }, { "epoch": 18.46153846153846, "grad_norm": 11.026878356933594, "learning_rate": 4.4444444444444447e-05, "loss": 0.4123, "step": 60 }, { "epoch": 18.76923076923077, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.6266874670982361, "eval_runtime": 1.0972, "eval_samples_per_second": 64.709, "eval_steps_per_second": 2.734, "step": 61 }, { "epoch": 20.0, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.42525675892829895, "eval_runtime": 1.125, "eval_samples_per_second": 63.111, "eval_steps_per_second": 2.667, "step": 65 }, { "epoch": 20.923076923076923, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.4697897434234619, "eval_runtime": 1.069, "eval_samples_per_second": 66.415, "eval_steps_per_second": 2.806, "step": 68 }, { "epoch": 21.53846153846154, "grad_norm": 6.852389335632324, "learning_rate": 4.259259259259259e-05, "loss": 0.3745, "step": 70 }, { "epoch": 21.846153846153847, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.5312201976776123, "eval_runtime": 1.1106, "eval_samples_per_second": 63.927, "eval_steps_per_second": 2.701, "step": 71 }, { "epoch": 22.76923076923077, "eval_accuracy": 0.7464788732394366, "eval_loss": 0.5157667398452759, "eval_runtime": 1.0999, "eval_samples_per_second": 64.553, "eval_steps_per_second": 2.728, "step": 74 }, { "epoch": 24.0, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.5968685746192932, "eval_runtime": 1.072, "eval_samples_per_second": 66.231, "eval_steps_per_second": 2.798, "step": 78 }, { "epoch": 24.615384615384617, "grad_norm": 8.991398811340332, "learning_rate": 4.074074074074074e-05, "loss": 0.3751, "step": 80 }, { "epoch": 24.923076923076923, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.541881799697876, "eval_runtime": 1.074, "eval_samples_per_second": 66.11, "eval_steps_per_second": 2.793, "step": 81 }, { "epoch": 25.846153846153847, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.463002473115921, "eval_runtime": 1.09, "eval_samples_per_second": 65.141, "eval_steps_per_second": 2.752, "step": 84 }, { "epoch": 26.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.5366793870925903, "eval_runtime": 1.0752, "eval_samples_per_second": 66.032, "eval_steps_per_second": 2.79, "step": 87 }, { "epoch": 27.692307692307693, "grad_norm": 3.5171091556549072, "learning_rate": 3.888888888888889e-05, "loss": 0.3079, "step": 90 }, { "epoch": 28.0, "eval_accuracy": 0.8309859154929577, "eval_loss": 0.5220130085945129, "eval_runtime": 1.0931, "eval_samples_per_second": 64.955, "eval_steps_per_second": 2.745, "step": 91 }, { "epoch": 28.923076923076923, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.5341811180114746, "eval_runtime": 1.1125, "eval_samples_per_second": 63.819, "eval_steps_per_second": 2.697, "step": 94 }, { "epoch": 29.846153846153847, "eval_accuracy": 0.8591549295774648, "eval_loss": 0.5711377859115601, "eval_runtime": 1.0957, "eval_samples_per_second": 64.797, "eval_steps_per_second": 2.738, "step": 97 }, { "epoch": 30.76923076923077, "grad_norm": 7.372060298919678, "learning_rate": 3.7037037037037037e-05, "loss": 0.2831, "step": 100 }, { "epoch": 30.76923076923077, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.575693666934967, "eval_runtime": 1.0914, "eval_samples_per_second": 65.056, "eval_steps_per_second": 2.749, "step": 100 }, { "epoch": 32.0, "eval_accuracy": 0.7464788732394366, "eval_loss": 0.5199587345123291, "eval_runtime": 1.0974, "eval_samples_per_second": 64.696, "eval_steps_per_second": 2.734, "step": 104 }, { "epoch": 32.92307692307692, "eval_accuracy": 0.8450704225352113, "eval_loss": 0.4495673179626465, "eval_runtime": 1.0764, "eval_samples_per_second": 65.963, "eval_steps_per_second": 2.787, "step": 107 }, { "epoch": 33.84615384615385, "grad_norm": 14.049703598022461, "learning_rate": 3.518518518518519e-05, "loss": 0.292, "step": 110 }, { "epoch": 33.84615384615385, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.6480037569999695, "eval_runtime": 1.1161, "eval_samples_per_second": 63.613, "eval_steps_per_second": 2.688, "step": 110 }, { "epoch": 34.76923076923077, "eval_accuracy": 0.7464788732394366, "eval_loss": 0.6956098079681396, "eval_runtime": 1.1028, "eval_samples_per_second": 64.382, "eval_steps_per_second": 2.72, "step": 113 }, { "epoch": 36.0, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.5629093647003174, "eval_runtime": 1.0914, "eval_samples_per_second": 65.052, "eval_steps_per_second": 2.749, "step": 117 }, { "epoch": 36.92307692307692, "grad_norm": 6.377761363983154, "learning_rate": 3.3333333333333335e-05, "loss": 0.2712, "step": 120 }, { "epoch": 36.92307692307692, "eval_accuracy": 0.6901408450704225, "eval_loss": 0.761414110660553, "eval_runtime": 1.1022, "eval_samples_per_second": 64.414, "eval_steps_per_second": 2.722, "step": 120 }, { "epoch": 37.84615384615385, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.5624626278877258, "eval_runtime": 1.076, "eval_samples_per_second": 65.988, "eval_steps_per_second": 2.788, "step": 123 }, { "epoch": 38.76923076923077, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.571108877658844, "eval_runtime": 1.098, "eval_samples_per_second": 64.66, "eval_steps_per_second": 2.732, "step": 126 }, { "epoch": 40.0, "grad_norm": 5.312506198883057, "learning_rate": 3.148148148148148e-05, "loss": 0.2447, "step": 130 }, { "epoch": 40.0, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.5476051568984985, "eval_runtime": 1.0921, "eval_samples_per_second": 65.011, "eval_steps_per_second": 2.747, "step": 130 }, { "epoch": 40.92307692307692, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.5354418754577637, "eval_runtime": 1.0697, "eval_samples_per_second": 66.374, "eval_steps_per_second": 2.805, "step": 133 }, { "epoch": 41.84615384615385, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.5217384099960327, "eval_runtime": 1.1215, "eval_samples_per_second": 63.311, "eval_steps_per_second": 2.675, "step": 136 }, { "epoch": 42.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.576663613319397, "eval_runtime": 1.1012, "eval_samples_per_second": 64.478, "eval_steps_per_second": 2.724, "step": 139 }, { "epoch": 43.07692307692308, "grad_norm": 9.378477096557617, "learning_rate": 2.962962962962963e-05, "loss": 0.185, "step": 140 }, { "epoch": 44.0, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.5605924129486084, "eval_runtime": 1.09, "eval_samples_per_second": 65.14, "eval_steps_per_second": 2.752, "step": 143 }, { "epoch": 44.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.67192542552948, "eval_runtime": 1.103, "eval_samples_per_second": 64.369, "eval_steps_per_second": 2.72, "step": 146 }, { "epoch": 45.84615384615385, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6073798537254333, "eval_runtime": 1.071, "eval_samples_per_second": 66.295, "eval_steps_per_second": 2.801, "step": 149 }, { "epoch": 46.15384615384615, "grad_norm": 11.159360885620117, "learning_rate": 2.777777777777778e-05, "loss": 0.1921, "step": 150 }, { "epoch": 46.76923076923077, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.6350691318511963, "eval_runtime": 1.1244, "eval_samples_per_second": 63.143, "eval_steps_per_second": 2.668, "step": 152 }, { "epoch": 48.0, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.5916067957878113, "eval_runtime": 1.081, "eval_samples_per_second": 65.681, "eval_steps_per_second": 2.775, "step": 156 }, { "epoch": 48.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6103379130363464, "eval_runtime": 1.0963, "eval_samples_per_second": 64.761, "eval_steps_per_second": 2.736, "step": 159 }, { "epoch": 49.23076923076923, "grad_norm": 5.742426872253418, "learning_rate": 2.5925925925925925e-05, "loss": 0.1844, "step": 160 }, { "epoch": 49.84615384615385, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.5758461952209473, "eval_runtime": 1.1062, "eval_samples_per_second": 64.182, "eval_steps_per_second": 2.712, "step": 162 }, { "epoch": 50.76923076923077, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.5496791005134583, "eval_runtime": 1.106, "eval_samples_per_second": 64.196, "eval_steps_per_second": 2.713, "step": 165 }, { "epoch": 52.0, "eval_accuracy": 0.8309859154929577, "eval_loss": 0.5377268195152283, "eval_runtime": 1.0974, "eval_samples_per_second": 64.698, "eval_steps_per_second": 2.734, "step": 169 }, { "epoch": 52.30769230769231, "grad_norm": 5.0976691246032715, "learning_rate": 2.4074074074074074e-05, "loss": 0.17, "step": 170 }, { "epoch": 52.92307692307692, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.6278994679450989, "eval_runtime": 1.0996, "eval_samples_per_second": 64.568, "eval_steps_per_second": 2.728, "step": 172 }, { "epoch": 53.84615384615385, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.5825640559196472, "eval_runtime": 1.104, "eval_samples_per_second": 64.312, "eval_steps_per_second": 2.717, "step": 175 }, { "epoch": 54.76923076923077, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.7172585725784302, "eval_runtime": 1.0805, "eval_samples_per_second": 65.708, "eval_steps_per_second": 2.776, "step": 178 }, { "epoch": 55.38461538461539, "grad_norm": 5.814525604248047, "learning_rate": 2.2222222222222223e-05, "loss": 0.1724, "step": 180 }, { "epoch": 56.0, "eval_accuracy": 0.8450704225352113, "eval_loss": 0.5339981913566589, "eval_runtime": 1.1095, "eval_samples_per_second": 63.99, "eval_steps_per_second": 2.704, "step": 182 }, { "epoch": 56.92307692307692, "eval_accuracy": 0.8591549295774648, "eval_loss": 0.5527878403663635, "eval_runtime": 1.1322, "eval_samples_per_second": 62.71, "eval_steps_per_second": 2.65, "step": 185 }, { "epoch": 57.84615384615385, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6547489166259766, "eval_runtime": 1.1043, "eval_samples_per_second": 64.297, "eval_steps_per_second": 2.717, "step": 188 }, { "epoch": 58.46153846153846, "grad_norm": 5.154381275177002, "learning_rate": 2.037037037037037e-05, "loss": 0.1734, "step": 190 }, { "epoch": 58.76923076923077, "eval_accuracy": 0.8309859154929577, "eval_loss": 0.5986492037773132, "eval_runtime": 1.0821, "eval_samples_per_second": 65.612, "eval_steps_per_second": 2.772, "step": 191 }, { "epoch": 60.0, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6057180762290955, "eval_runtime": 1.1087, "eval_samples_per_second": 64.039, "eval_steps_per_second": 2.706, "step": 195 }, { "epoch": 60.92307692307692, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.7183056473731995, "eval_runtime": 1.0617, "eval_samples_per_second": 66.874, "eval_steps_per_second": 2.826, "step": 198 }, { "epoch": 61.53846153846154, "grad_norm": 4.651764392852783, "learning_rate": 1.8518518518518518e-05, "loss": 0.1582, "step": 200 }, { "epoch": 61.84615384615385, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.5912399291992188, "eval_runtime": 1.0929, "eval_samples_per_second": 64.966, "eval_steps_per_second": 2.745, "step": 201 }, { "epoch": 62.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6002036333084106, "eval_runtime": 1.0987, "eval_samples_per_second": 64.622, "eval_steps_per_second": 2.73, "step": 204 }, { "epoch": 64.0, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.7886073589324951, "eval_runtime": 1.0996, "eval_samples_per_second": 64.566, "eval_steps_per_second": 2.728, "step": 208 }, { "epoch": 64.61538461538461, "grad_norm": 4.254072666168213, "learning_rate": 1.6666666666666667e-05, "loss": 0.1372, "step": 210 }, { "epoch": 64.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.7019013166427612, "eval_runtime": 1.091, "eval_samples_per_second": 65.079, "eval_steps_per_second": 2.75, "step": 211 }, { "epoch": 65.84615384615384, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.6460186243057251, "eval_runtime": 1.1036, "eval_samples_per_second": 64.335, "eval_steps_per_second": 2.718, "step": 214 }, { "epoch": 66.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6934826970100403, "eval_runtime": 1.0674, "eval_samples_per_second": 66.518, "eval_steps_per_second": 2.811, "step": 217 }, { "epoch": 67.6923076923077, "grad_norm": 8.02208137512207, "learning_rate": 1.4814814814814815e-05, "loss": 0.153, "step": 220 }, { "epoch": 68.0, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.8107859492301941, "eval_runtime": 1.1001, "eval_samples_per_second": 64.542, "eval_steps_per_second": 2.727, "step": 221 }, { "epoch": 68.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.7539263963699341, "eval_runtime": 1.1222, "eval_samples_per_second": 63.268, "eval_steps_per_second": 2.673, "step": 224 }, { "epoch": 69.84615384615384, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.7089611887931824, "eval_runtime": 1.1229, "eval_samples_per_second": 63.227, "eval_steps_per_second": 2.672, "step": 227 }, { "epoch": 70.76923076923077, "grad_norm": 4.6820597648620605, "learning_rate": 1.2962962962962962e-05, "loss": 0.1512, "step": 230 }, { "epoch": 70.76923076923077, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.7146645188331604, "eval_runtime": 1.1135, "eval_samples_per_second": 63.762, "eval_steps_per_second": 2.694, "step": 230 }, { "epoch": 72.0, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.8680395483970642, "eval_runtime": 1.0821, "eval_samples_per_second": 65.611, "eval_steps_per_second": 2.772, "step": 234 }, { "epoch": 72.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.8785440325737, "eval_runtime": 1.1317, "eval_samples_per_second": 62.738, "eval_steps_per_second": 2.651, "step": 237 }, { "epoch": 73.84615384615384, "grad_norm": 5.328825950622559, "learning_rate": 1.1111111111111112e-05, "loss": 0.1381, "step": 240 }, { "epoch": 73.84615384615384, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.7413442134857178, "eval_runtime": 1.1102, "eval_samples_per_second": 63.955, "eval_steps_per_second": 2.702, "step": 240 }, { "epoch": 74.76923076923077, "eval_accuracy": 0.8169014084507042, "eval_loss": 0.7254679799079895, "eval_runtime": 1.0871, "eval_samples_per_second": 65.312, "eval_steps_per_second": 2.76, "step": 243 }, { "epoch": 76.0, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.7123715877532959, "eval_runtime": 1.1015, "eval_samples_per_second": 64.455, "eval_steps_per_second": 2.723, "step": 247 }, { "epoch": 76.92307692307692, "grad_norm": 6.364928245544434, "learning_rate": 9.259259259259259e-06, "loss": 0.1432, "step": 250 }, { "epoch": 76.92307692307692, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.734306275844574, "eval_runtime": 1.093, "eval_samples_per_second": 64.958, "eval_steps_per_second": 2.745, "step": 250 }, { "epoch": 77.84615384615384, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.7403556704521179, "eval_runtime": 1.1105, "eval_samples_per_second": 63.937, "eval_steps_per_second": 2.702, "step": 253 }, { "epoch": 78.76923076923077, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6940977573394775, "eval_runtime": 1.08, "eval_samples_per_second": 65.743, "eval_steps_per_second": 2.778, "step": 256 }, { "epoch": 80.0, "grad_norm": 8.516518592834473, "learning_rate": 7.4074074074074075e-06, "loss": 0.1135, "step": 260 }, { "epoch": 80.0, "eval_accuracy": 0.8309859154929577, "eval_loss": 0.6721236109733582, "eval_runtime": 1.102, "eval_samples_per_second": 64.43, "eval_steps_per_second": 2.722, "step": 260 }, { "epoch": 80.92307692307692, "eval_accuracy": 0.8309859154929577, "eval_loss": 0.6691632866859436, "eval_runtime": 1.0893, "eval_samples_per_second": 65.178, "eval_steps_per_second": 2.754, "step": 263 }, { "epoch": 81.84615384615384, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6879910826683044, "eval_runtime": 1.0969, "eval_samples_per_second": 64.728, "eval_steps_per_second": 2.735, "step": 266 }, { "epoch": 82.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6856514811515808, "eval_runtime": 1.0765, "eval_samples_per_second": 65.955, "eval_steps_per_second": 2.787, "step": 269 }, { "epoch": 83.07692307692308, "grad_norm": 4.385526657104492, "learning_rate": 5.555555555555556e-06, "loss": 0.1182, "step": 270 }, { "epoch": 84.0, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6849518418312073, "eval_runtime": 1.1279, "eval_samples_per_second": 62.95, "eval_steps_per_second": 2.66, "step": 273 }, { "epoch": 84.92307692307692, "eval_accuracy": 0.7887323943661971, "eval_loss": 0.6815563440322876, "eval_runtime": 1.0923, "eval_samples_per_second": 64.998, "eval_steps_per_second": 2.746, "step": 276 }, { "epoch": 85.84615384615384, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.7047742605209351, "eval_runtime": 1.1236, "eval_samples_per_second": 63.187, "eval_steps_per_second": 2.67, "step": 279 }, { "epoch": 86.15384615384616, "grad_norm": 5.567570209503174, "learning_rate": 3.7037037037037037e-06, "loss": 0.1019, "step": 280 }, { "epoch": 86.76923076923077, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.7803800702095032, "eval_runtime": 1.0996, "eval_samples_per_second": 64.567, "eval_steps_per_second": 2.728, "step": 282 }, { "epoch": 88.0, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.8013417720794678, "eval_runtime": 1.1133, "eval_samples_per_second": 63.773, "eval_steps_per_second": 2.695, "step": 286 }, { "epoch": 88.92307692307692, "eval_accuracy": 0.7605633802816901, "eval_loss": 0.7505632638931274, "eval_runtime": 1.1302, "eval_samples_per_second": 62.82, "eval_steps_per_second": 2.654, "step": 289 }, { "epoch": 89.23076923076923, "grad_norm": 3.6284656524658203, "learning_rate": 1.8518518518518519e-06, "loss": 0.1163, "step": 290 }, { "epoch": 89.84615384615384, "eval_accuracy": 0.7746478873239436, "eval_loss": 0.7047209143638611, "eval_runtime": 1.1154, "eval_samples_per_second": 63.653, "eval_steps_per_second": 2.69, "step": 292 }, { "epoch": 90.76923076923077, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6762815713882446, "eval_runtime": 1.1157, "eval_samples_per_second": 63.635, "eval_steps_per_second": 2.689, "step": 295 }, { "epoch": 92.0, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6605757474899292, "eval_runtime": 1.1108, "eval_samples_per_second": 63.918, "eval_steps_per_second": 2.701, "step": 299 }, { "epoch": 92.3076923076923, "grad_norm": 3.279923439025879, "learning_rate": 0.0, "loss": 0.1258, "step": 300 }, { "epoch": 92.3076923076923, "eval_accuracy": 0.8028169014084507, "eval_loss": 0.6592366695404053, "eval_runtime": 1.0928, "eval_samples_per_second": 64.968, "eval_steps_per_second": 2.745, "step": 300 }, { "epoch": 92.3076923076923, "step": 300, "total_flos": 2.839022453308834e+18, "train_loss": 0.26989306092262266, "train_runtime": 1732.8571, "train_samples_per_second": 22.91, "train_steps_per_second": 0.173 }, { "epoch": 92.3076923076923, "eval_accuracy": 0.8591549295774648, "eval_loss": 0.5711377859115601, "eval_runtime": 1.0772, "eval_samples_per_second": 65.91, "eval_steps_per_second": 2.785, "step": 300 } ], "logging_steps": 10, "max_steps": 300, "num_input_tokens_seen": 0, "num_train_epochs": 100, "save_steps": 500, "total_flos": 2.839022453308834e+18, "train_batch_size": 32, "trial_name": null, "trial_params": null }