| { | |
| "best_metric": 0.3843018710613251, | |
| "best_model_checkpoint": "yoga_pose_image_classification/checkpoint-3800", | |
| "epoch": 100.0, | |
| "eval_steps": 500, | |
| "global_step": 3800, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.1212624584717608, | |
| "eval_loss": 2.18632435798645, | |
| "eval_runtime": 9.4012, | |
| "eval_samples_per_second": 64.034, | |
| "eval_steps_per_second": 2.021, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.2009966777408638, | |
| "eval_loss": 2.154275417327881, | |
| "eval_runtime": 9.4031, | |
| "eval_samples_per_second": 64.021, | |
| "eval_steps_per_second": 2.021, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.3239202657807309, | |
| "eval_loss": 2.1111578941345215, | |
| "eval_runtime": 9.3981, | |
| "eval_samples_per_second": 64.056, | |
| "eval_steps_per_second": 2.022, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.4833887043189369, | |
| "eval_loss": 2.052860736846924, | |
| "eval_runtime": 9.3515, | |
| "eval_samples_per_second": 64.374, | |
| "eval_steps_per_second": 2.032, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5863787375415282, | |
| "eval_loss": 1.9836093187332153, | |
| "eval_runtime": 9.2802, | |
| "eval_samples_per_second": 64.869, | |
| "eval_steps_per_second": 2.047, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6677740863787376, | |
| "eval_loss": 1.9060654640197754, | |
| "eval_runtime": 9.3038, | |
| "eval_samples_per_second": 64.704, | |
| "eval_steps_per_second": 2.042, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.7126245847176079, | |
| "eval_loss": 1.8243703842163086, | |
| "eval_runtime": 9.2471, | |
| "eval_samples_per_second": 65.102, | |
| "eval_steps_per_second": 2.055, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7691029900332226, | |
| "eval_loss": 1.738010287284851, | |
| "eval_runtime": 9.2752, | |
| "eval_samples_per_second": 64.905, | |
| "eval_steps_per_second": 2.048, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7956810631229236, | |
| "eval_loss": 1.6476677656173706, | |
| "eval_runtime": 9.1847, | |
| "eval_samples_per_second": 65.544, | |
| "eval_steps_per_second": 2.069, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.8073089700996677, | |
| "eval_loss": 1.5577423572540283, | |
| "eval_runtime": 9.1847, | |
| "eval_samples_per_second": 65.544, | |
| "eval_steps_per_second": 2.069, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.8222591362126246, | |
| "eval_loss": 1.4709256887435913, | |
| "eval_runtime": 8.9043, | |
| "eval_samples_per_second": 67.608, | |
| "eval_steps_per_second": 2.134, | |
| "step": 418 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8338870431893688, | |
| "eval_loss": 1.3882230520248413, | |
| "eval_runtime": 9.1638, | |
| "eval_samples_per_second": 65.693, | |
| "eval_steps_per_second": 2.073, | |
| "step": 456 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.845514950166113, | |
| "eval_loss": 1.314037799835205, | |
| "eval_runtime": 9.4856, | |
| "eval_samples_per_second": 63.465, | |
| "eval_steps_per_second": 2.003, | |
| "step": 494 | |
| }, | |
| { | |
| "epoch": 13.16, | |
| "learning_rate": 3.5199999999999998e-06, | |
| "loss": 1.7637, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.8554817275747508, | |
| "eval_loss": 1.2419167757034302, | |
| "eval_runtime": 9.2365, | |
| "eval_samples_per_second": 65.176, | |
| "eval_steps_per_second": 2.057, | |
| "step": 532 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.8621262458471761, | |
| "eval_loss": 1.175502896308899, | |
| "eval_runtime": 9.1995, | |
| "eval_samples_per_second": 65.439, | |
| "eval_steps_per_second": 2.065, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.867109634551495, | |
| "eval_loss": 1.1211938858032227, | |
| "eval_runtime": 9.2041, | |
| "eval_samples_per_second": 65.406, | |
| "eval_steps_per_second": 2.064, | |
| "step": 608 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.8704318936877077, | |
| "eval_loss": 1.0678402185440063, | |
| "eval_runtime": 9.1819, | |
| "eval_samples_per_second": 65.564, | |
| "eval_steps_per_second": 2.069, | |
| "step": 646 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.8770764119601329, | |
| "eval_loss": 1.0240187644958496, | |
| "eval_runtime": 8.9907, | |
| "eval_samples_per_second": 66.958, | |
| "eval_steps_per_second": 2.113, | |
| "step": 684 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.8803986710963455, | |
| "eval_loss": 0.9842038750648499, | |
| "eval_runtime": 9.2217, | |
| "eval_samples_per_second": 65.281, | |
| "eval_steps_per_second": 2.06, | |
| "step": 722 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.8870431893687708, | |
| "eval_loss": 0.9439226984977722, | |
| "eval_runtime": 9.1617, | |
| "eval_samples_per_second": 65.708, | |
| "eval_steps_per_second": 2.074, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.8920265780730897, | |
| "eval_loss": 0.9107761383056641, | |
| "eval_runtime": 9.3007, | |
| "eval_samples_per_second": 64.726, | |
| "eval_steps_per_second": 2.043, | |
| "step": 798 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.893687707641196, | |
| "eval_loss": 0.8776938319206238, | |
| "eval_runtime": 8.8098, | |
| "eval_samples_per_second": 68.333, | |
| "eval_steps_per_second": 2.157, | |
| "step": 836 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.893687707641196, | |
| "eval_loss": 0.8496754765510559, | |
| "eval_runtime": 9.052, | |
| "eval_samples_per_second": 66.504, | |
| "eval_steps_per_second": 2.099, | |
| "step": 874 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.8986710963455149, | |
| "eval_loss": 0.8216127753257751, | |
| "eval_runtime": 9.1831, | |
| "eval_samples_per_second": 65.555, | |
| "eval_steps_per_second": 2.069, | |
| "step": 912 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.9053156146179402, | |
| "eval_loss": 0.7941116094589233, | |
| "eval_runtime": 8.8187, | |
| "eval_samples_per_second": 68.264, | |
| "eval_steps_per_second": 2.155, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.9086378737541528, | |
| "eval_loss": 0.7701788544654846, | |
| "eval_runtime": 9.255, | |
| "eval_samples_per_second": 65.046, | |
| "eval_steps_per_second": 2.053, | |
| "step": 988 | |
| }, | |
| { | |
| "epoch": 26.32, | |
| "learning_rate": 2.9866666666666667e-06, | |
| "loss": 0.8811, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.9069767441860465, | |
| "eval_loss": 0.7498743534088135, | |
| "eval_runtime": 8.9384, | |
| "eval_samples_per_second": 67.35, | |
| "eval_steps_per_second": 2.126, | |
| "step": 1026 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.9102990033222591, | |
| "eval_loss": 0.7278289794921875, | |
| "eval_runtime": 9.2157, | |
| "eval_samples_per_second": 65.324, | |
| "eval_steps_per_second": 2.062, | |
| "step": 1064 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.9119601328903655, | |
| "eval_loss": 0.7089008092880249, | |
| "eval_runtime": 9.5658, | |
| "eval_samples_per_second": 62.933, | |
| "eval_steps_per_second": 1.986, | |
| "step": 1102 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.9186046511627907, | |
| "eval_loss": 0.6902615427970886, | |
| "eval_runtime": 9.276, | |
| "eval_samples_per_second": 64.899, | |
| "eval_steps_per_second": 2.048, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.920265780730897, | |
| "eval_loss": 0.6722272038459778, | |
| "eval_runtime": 9.2907, | |
| "eval_samples_per_second": 64.796, | |
| "eval_steps_per_second": 2.045, | |
| "step": 1178 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.9169435215946844, | |
| "eval_loss": 0.6599347591400146, | |
| "eval_runtime": 9.146, | |
| "eval_samples_per_second": 65.821, | |
| "eval_steps_per_second": 2.077, | |
| "step": 1216 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.9169435215946844, | |
| "eval_loss": 0.6435149312019348, | |
| "eval_runtime": 9.2827, | |
| "eval_samples_per_second": 64.852, | |
| "eval_steps_per_second": 2.047, | |
| "step": 1254 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.9186046511627907, | |
| "eval_loss": 0.6296250820159912, | |
| "eval_runtime": 8.9518, | |
| "eval_samples_per_second": 67.249, | |
| "eval_steps_per_second": 2.122, | |
| "step": 1292 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.920265780730897, | |
| "eval_loss": 0.6152604222297668, | |
| "eval_runtime": 9.2036, | |
| "eval_samples_per_second": 65.409, | |
| "eval_steps_per_second": 2.064, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.9219269102990033, | |
| "eval_loss": 0.6024987101554871, | |
| "eval_runtime": 9.1807, | |
| "eval_samples_per_second": 65.573, | |
| "eval_steps_per_second": 2.07, | |
| "step": 1368 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.9235880398671097, | |
| "eval_loss": 0.5926721692085266, | |
| "eval_runtime": 9.3058, | |
| "eval_samples_per_second": 64.691, | |
| "eval_steps_per_second": 2.042, | |
| "step": 1406 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.5806441903114319, | |
| "eval_runtime": 9.2355, | |
| "eval_samples_per_second": 65.183, | |
| "eval_steps_per_second": 2.057, | |
| "step": 1444 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.925249169435216, | |
| "eval_loss": 0.5694455504417419, | |
| "eval_runtime": 9.1082, | |
| "eval_samples_per_second": 66.094, | |
| "eval_steps_per_second": 2.086, | |
| "step": 1482 | |
| }, | |
| { | |
| "epoch": 39.47, | |
| "learning_rate": 2.453333333333333e-06, | |
| "loss": 0.5341, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.9235880398671097, | |
| "eval_loss": 0.5654778480529785, | |
| "eval_runtime": 9.1414, | |
| "eval_samples_per_second": 65.854, | |
| "eval_steps_per_second": 2.078, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.9285714285714286, | |
| "eval_loss": 0.5506969094276428, | |
| "eval_runtime": 9.2079, | |
| "eval_samples_per_second": 65.379, | |
| "eval_steps_per_second": 2.063, | |
| "step": 1558 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.543114185333252, | |
| "eval_runtime": 9.2502, | |
| "eval_samples_per_second": 65.08, | |
| "eval_steps_per_second": 2.054, | |
| "step": 1596 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.5349024534225464, | |
| "eval_runtime": 9.0081, | |
| "eval_samples_per_second": 66.829, | |
| "eval_steps_per_second": 2.109, | |
| "step": 1634 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.5262035727500916, | |
| "eval_runtime": 9.1978, | |
| "eval_samples_per_second": 65.45, | |
| "eval_steps_per_second": 2.066, | |
| "step": 1672 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.9269102990033222, | |
| "eval_loss": 0.5220299363136292, | |
| "eval_runtime": 9.148, | |
| "eval_samples_per_second": 65.807, | |
| "eval_steps_per_second": 2.077, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.9269102990033222, | |
| "eval_loss": 0.5145980715751648, | |
| "eval_runtime": 9.2485, | |
| "eval_samples_per_second": 65.092, | |
| "eval_steps_per_second": 2.054, | |
| "step": 1748 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.5084472894668579, | |
| "eval_runtime": 8.9428, | |
| "eval_samples_per_second": 67.317, | |
| "eval_steps_per_second": 2.125, | |
| "step": 1786 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.5007317066192627, | |
| "eval_runtime": 9.1094, | |
| "eval_samples_per_second": 66.086, | |
| "eval_steps_per_second": 2.086, | |
| "step": 1824 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.9285714285714286, | |
| "eval_loss": 0.4938865602016449, | |
| "eval_runtime": 9.3331, | |
| "eval_samples_per_second": 64.501, | |
| "eval_steps_per_second": 2.036, | |
| "step": 1862 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.48970168828964233, | |
| "eval_runtime": 9.2175, | |
| "eval_samples_per_second": 65.31, | |
| "eval_steps_per_second": 2.061, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4844241738319397, | |
| "eval_runtime": 9.3402, | |
| "eval_samples_per_second": 64.453, | |
| "eval_steps_per_second": 2.034, | |
| "step": 1938 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4789960980415344, | |
| "eval_runtime": 9.2399, | |
| "eval_samples_per_second": 65.152, | |
| "eval_steps_per_second": 2.056, | |
| "step": 1976 | |
| }, | |
| { | |
| "epoch": 52.63, | |
| "learning_rate": 1.92e-06, | |
| "loss": 0.3822, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4740654230117798, | |
| "eval_runtime": 9.2394, | |
| "eval_samples_per_second": 65.155, | |
| "eval_steps_per_second": 2.056, | |
| "step": 2014 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.4689539968967438, | |
| "eval_runtime": 9.192, | |
| "eval_samples_per_second": 65.491, | |
| "eval_steps_per_second": 2.067, | |
| "step": 2052 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4651150107383728, | |
| "eval_runtime": 9.0767, | |
| "eval_samples_per_second": 66.324, | |
| "eval_steps_per_second": 2.093, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.4605846703052521, | |
| "eval_runtime": 9.2523, | |
| "eval_samples_per_second": 65.065, | |
| "eval_steps_per_second": 2.054, | |
| "step": 2128 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4576462507247925, | |
| "eval_runtime": 9.1536, | |
| "eval_samples_per_second": 65.767, | |
| "eval_steps_per_second": 2.076, | |
| "step": 2166 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.45208579301834106, | |
| "eval_runtime": 9.1727, | |
| "eval_samples_per_second": 65.63, | |
| "eval_steps_per_second": 2.071, | |
| "step": 2204 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.4491443336009979, | |
| "eval_runtime": 9.1974, | |
| "eval_samples_per_second": 65.453, | |
| "eval_steps_per_second": 2.066, | |
| "step": 2242 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.44608035683631897, | |
| "eval_runtime": 9.363, | |
| "eval_samples_per_second": 64.295, | |
| "eval_steps_per_second": 2.029, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.4429391622543335, | |
| "eval_runtime": 9.2675, | |
| "eval_samples_per_second": 64.959, | |
| "eval_steps_per_second": 2.05, | |
| "step": 2318 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.4398341476917267, | |
| "eval_runtime": 9.2027, | |
| "eval_samples_per_second": 65.416, | |
| "eval_steps_per_second": 2.065, | |
| "step": 2356 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.43718549609184265, | |
| "eval_runtime": 9.0863, | |
| "eval_samples_per_second": 66.254, | |
| "eval_steps_per_second": 2.091, | |
| "step": 2394 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.435174822807312, | |
| "eval_runtime": 9.1649, | |
| "eval_samples_per_second": 65.685, | |
| "eval_steps_per_second": 2.073, | |
| "step": 2432 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4314589500427246, | |
| "eval_runtime": 9.0429, | |
| "eval_samples_per_second": 66.572, | |
| "eval_steps_per_second": 2.101, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 65.79, | |
| "learning_rate": 1.3866666666666666e-06, | |
| "loss": 0.3089, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4279780983924866, | |
| "eval_runtime": 8.8928, | |
| "eval_samples_per_second": 67.695, | |
| "eval_steps_per_second": 2.137, | |
| "step": 2508 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4262917935848236, | |
| "eval_runtime": 9.0012, | |
| "eval_samples_per_second": 66.88, | |
| "eval_steps_per_second": 2.111, | |
| "step": 2546 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.42236465215682983, | |
| "eval_runtime": 8.9695, | |
| "eval_samples_per_second": 67.116, | |
| "eval_steps_per_second": 2.118, | |
| "step": 2584 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.420457124710083, | |
| "eval_runtime": 9.2333, | |
| "eval_samples_per_second": 65.199, | |
| "eval_steps_per_second": 2.058, | |
| "step": 2622 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4179752767086029, | |
| "eval_runtime": 9.1119, | |
| "eval_samples_per_second": 66.067, | |
| "eval_steps_per_second": 2.085, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.9285714285714286, | |
| "eval_loss": 0.41662338376045227, | |
| "eval_runtime": 9.2498, | |
| "eval_samples_per_second": 65.082, | |
| "eval_steps_per_second": 2.054, | |
| "step": 2698 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4137563109397888, | |
| "eval_runtime": 9.0837, | |
| "eval_samples_per_second": 66.273, | |
| "eval_steps_per_second": 2.092, | |
| "step": 2736 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.9302325581395349, | |
| "eval_loss": 0.4119124710559845, | |
| "eval_runtime": 9.123, | |
| "eval_samples_per_second": 65.987, | |
| "eval_steps_per_second": 2.083, | |
| "step": 2774 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.9352159468438538, | |
| "eval_loss": 0.4097132682800293, | |
| "eval_runtime": 9.2672, | |
| "eval_samples_per_second": 64.96, | |
| "eval_steps_per_second": 2.05, | |
| "step": 2812 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.9335548172757475, | |
| "eval_loss": 0.40696021914482117, | |
| "eval_runtime": 8.9895, | |
| "eval_samples_per_second": 66.967, | |
| "eval_steps_per_second": 2.114, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.9318936877076412, | |
| "eval_loss": 0.40516966581344604, | |
| "eval_runtime": 9.1036, | |
| "eval_samples_per_second": 66.128, | |
| "eval_steps_per_second": 2.087, | |
| "step": 2888 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.9335548172757475, | |
| "eval_loss": 0.40282949805259705, | |
| "eval_runtime": 9.1585, | |
| "eval_samples_per_second": 65.731, | |
| "eval_steps_per_second": 2.075, | |
| "step": 2926 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.9335548172757475, | |
| "eval_loss": 0.4002813994884491, | |
| "eval_runtime": 9.2285, | |
| "eval_samples_per_second": 65.233, | |
| "eval_steps_per_second": 2.059, | |
| "step": 2964 | |
| }, | |
| { | |
| "epoch": 78.95, | |
| "learning_rate": 8.533333333333334e-07, | |
| "loss": 0.2708, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.9352159468438538, | |
| "eval_loss": 0.3989640772342682, | |
| "eval_runtime": 9.2555, | |
| "eval_samples_per_second": 65.042, | |
| "eval_steps_per_second": 2.053, | |
| "step": 3002 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3976523280143738, | |
| "eval_runtime": 9.2496, | |
| "eval_samples_per_second": 65.084, | |
| "eval_steps_per_second": 2.054, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "eval_accuracy": 0.9335548172757475, | |
| "eval_loss": 0.39560216665267944, | |
| "eval_runtime": 9.3445, | |
| "eval_samples_per_second": 64.423, | |
| "eval_steps_per_second": 2.033, | |
| "step": 3078 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.39483192563056946, | |
| "eval_runtime": 9.0825, | |
| "eval_samples_per_second": 66.282, | |
| "eval_steps_per_second": 2.092, | |
| "step": 3116 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3940925896167755, | |
| "eval_runtime": 8.9097, | |
| "eval_samples_per_second": 67.567, | |
| "eval_steps_per_second": 2.133, | |
| "step": 3154 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3927687406539917, | |
| "eval_runtime": 9.2565, | |
| "eval_samples_per_second": 65.035, | |
| "eval_steps_per_second": 2.053, | |
| "step": 3192 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.39090487360954285, | |
| "eval_runtime": 9.3794, | |
| "eval_samples_per_second": 64.184, | |
| "eval_steps_per_second": 2.026, | |
| "step": 3230 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3901437222957611, | |
| "eval_runtime": 9.1195, | |
| "eval_samples_per_second": 66.013, | |
| "eval_steps_per_second": 2.083, | |
| "step": 3268 | |
| }, | |
| { | |
| "epoch": 87.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3894195556640625, | |
| "eval_runtime": 9.1199, | |
| "eval_samples_per_second": 66.01, | |
| "eval_steps_per_second": 2.083, | |
| "step": 3306 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.38919058442115784, | |
| "eval_runtime": 9.2628, | |
| "eval_samples_per_second": 64.991, | |
| "eval_steps_per_second": 2.051, | |
| "step": 3344 | |
| }, | |
| { | |
| "epoch": 89.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.388712078332901, | |
| "eval_runtime": 9.1513, | |
| "eval_samples_per_second": 65.783, | |
| "eval_steps_per_second": 2.076, | |
| "step": 3382 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3878062665462494, | |
| "eval_runtime": 8.9396, | |
| "eval_samples_per_second": 67.341, | |
| "eval_steps_per_second": 2.125, | |
| "step": 3420 | |
| }, | |
| { | |
| "epoch": 91.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.38750186562538147, | |
| "eval_runtime": 9.2575, | |
| "eval_samples_per_second": 65.028, | |
| "eval_steps_per_second": 2.052, | |
| "step": 3458 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38650283217430115, | |
| "eval_runtime": 9.1672, | |
| "eval_samples_per_second": 65.669, | |
| "eval_steps_per_second": 2.073, | |
| "step": 3496 | |
| }, | |
| { | |
| "epoch": 92.11, | |
| "learning_rate": 3.2e-07, | |
| "loss": 0.2496, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 93.0, | |
| "eval_accuracy": 0.9368770764119602, | |
| "eval_loss": 0.3866115212440491, | |
| "eval_runtime": 9.0461, | |
| "eval_samples_per_second": 66.548, | |
| "eval_steps_per_second": 2.1, | |
| "step": 3534 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.3854145407676697, | |
| "eval_runtime": 9.209, | |
| "eval_samples_per_second": 65.371, | |
| "eval_steps_per_second": 2.063, | |
| "step": 3572 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38511377573013306, | |
| "eval_runtime": 9.1643, | |
| "eval_samples_per_second": 65.69, | |
| "eval_steps_per_second": 2.073, | |
| "step": 3610 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38524767756462097, | |
| "eval_runtime": 9.2315, | |
| "eval_samples_per_second": 65.211, | |
| "eval_steps_per_second": 2.058, | |
| "step": 3648 | |
| }, | |
| { | |
| "epoch": 97.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38468137383461, | |
| "eval_runtime": 9.3077, | |
| "eval_samples_per_second": 64.678, | |
| "eval_steps_per_second": 2.041, | |
| "step": 3686 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38459545373916626, | |
| "eval_runtime": 9.2928, | |
| "eval_samples_per_second": 64.781, | |
| "eval_steps_per_second": 2.045, | |
| "step": 3724 | |
| }, | |
| { | |
| "epoch": 99.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.38430511951446533, | |
| "eval_runtime": 9.1498, | |
| "eval_samples_per_second": 65.794, | |
| "eval_steps_per_second": 2.077, | |
| "step": 3762 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_accuracy": 0.9385382059800664, | |
| "eval_loss": 0.3843018710613251, | |
| "eval_runtime": 9.1442, | |
| "eval_samples_per_second": 65.834, | |
| "eval_steps_per_second": 2.078, | |
| "step": 3800 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 3800, | |
| "num_train_epochs": 100, | |
| "save_steps": 500, | |
| "total_flos": 1.8630243068851814e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |