| { | |
| "best_metric": 1.6099027395248413, | |
| "best_model_checkpoint": "gemstones_image_detection/checkpoint-4779", | |
| "epoch": 59.0, | |
| "eval_steps": 500, | |
| "global_step": 4779, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.06521739130434782, | |
| "eval_loss": 4.402697563171387, | |
| "eval_runtime": 7.0526, | |
| "eval_samples_per_second": 91.314, | |
| "eval_steps_per_second": 11.485, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.2329192546583851, | |
| "eval_loss": 4.283246994018555, | |
| "eval_runtime": 6.9117, | |
| "eval_samples_per_second": 93.176, | |
| "eval_steps_per_second": 11.719, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.38354037267080743, | |
| "eval_loss": 4.158541202545166, | |
| "eval_runtime": 7.0269, | |
| "eval_samples_per_second": 91.648, | |
| "eval_steps_per_second": 11.527, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5139751552795031, | |
| "eval_loss": 4.027233123779297, | |
| "eval_runtime": 6.9926, | |
| "eval_samples_per_second": 92.098, | |
| "eval_steps_per_second": 11.584, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6024844720496895, | |
| "eval_loss": 3.892688035964966, | |
| "eval_runtime": 7.1602, | |
| "eval_samples_per_second": 89.942, | |
| "eval_steps_per_second": 11.313, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.65527950310559, | |
| "eval_loss": 3.7535414695739746, | |
| "eval_runtime": 7.0085, | |
| "eval_samples_per_second": 91.888, | |
| "eval_steps_per_second": 11.557, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 6.17, | |
| "learning_rate": 9.064449064449066e-06, | |
| "loss": 4.0521, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6816770186335404, | |
| "eval_loss": 3.6245224475860596, | |
| "eval_runtime": 6.9342, | |
| "eval_samples_per_second": 92.873, | |
| "eval_steps_per_second": 11.681, | |
| "step": 567 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7065217391304348, | |
| "eval_loss": 3.5059802532196045, | |
| "eval_runtime": 6.9825, | |
| "eval_samples_per_second": 92.231, | |
| "eval_steps_per_second": 11.6, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7251552795031055, | |
| "eval_loss": 3.3893799781799316, | |
| "eval_runtime": 7.0313, | |
| "eval_samples_per_second": 91.59, | |
| "eval_steps_per_second": 11.52, | |
| "step": 729 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.7468944099378882, | |
| "eval_loss": 3.2792539596557617, | |
| "eval_runtime": 6.9072, | |
| "eval_samples_per_second": 93.236, | |
| "eval_steps_per_second": 11.727, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.7593167701863354, | |
| "eval_loss": 3.185778856277466, | |
| "eval_runtime": 7.1843, | |
| "eval_samples_per_second": 89.64, | |
| "eval_steps_per_second": 11.275, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.765527950310559, | |
| "eval_loss": 3.093205690383911, | |
| "eval_runtime": 7.203, | |
| "eval_samples_per_second": 89.407, | |
| "eval_steps_per_second": 11.245, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 12.35, | |
| "learning_rate": 8.024948024948025e-06, | |
| "loss": 3.1602, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.7639751552795031, | |
| "eval_loss": 3.006822347640991, | |
| "eval_runtime": 6.9935, | |
| "eval_samples_per_second": 92.086, | |
| "eval_steps_per_second": 11.582, | |
| "step": 1053 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.7701863354037267, | |
| "eval_loss": 2.9287173748016357, | |
| "eval_runtime": 6.8243, | |
| "eval_samples_per_second": 94.369, | |
| "eval_steps_per_second": 11.869, | |
| "step": 1134 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.7763975155279503, | |
| "eval_loss": 2.8492088317871094, | |
| "eval_runtime": 6.9345, | |
| "eval_samples_per_second": 92.869, | |
| "eval_steps_per_second": 11.681, | |
| "step": 1215 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.7763975155279503, | |
| "eval_loss": 2.779766082763672, | |
| "eval_runtime": 7.4706, | |
| "eval_samples_per_second": 86.204, | |
| "eval_steps_per_second": 10.842, | |
| "step": 1296 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.782608695652174, | |
| "eval_loss": 2.71138858795166, | |
| "eval_runtime": 7.6693, | |
| "eval_samples_per_second": 83.971, | |
| "eval_steps_per_second": 10.562, | |
| "step": 1377 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.7857142857142857, | |
| "eval_loss": 2.64682674407959, | |
| "eval_runtime": 7.4341, | |
| "eval_samples_per_second": 86.628, | |
| "eval_steps_per_second": 10.896, | |
| "step": 1458 | |
| }, | |
| { | |
| "epoch": 18.52, | |
| "learning_rate": 6.985446985446987e-06, | |
| "loss": 2.537, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.7841614906832298, | |
| "eval_loss": 2.586892604827881, | |
| "eval_runtime": 7.0064, | |
| "eval_samples_per_second": 91.916, | |
| "eval_steps_per_second": 11.561, | |
| "step": 1539 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.7888198757763976, | |
| "eval_loss": 2.533936023712158, | |
| "eval_runtime": 6.9165, | |
| "eval_samples_per_second": 93.111, | |
| "eval_steps_per_second": 11.711, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.7950310559006211, | |
| "eval_loss": 2.4751620292663574, | |
| "eval_runtime": 6.8444, | |
| "eval_samples_per_second": 94.092, | |
| "eval_steps_per_second": 11.835, | |
| "step": 1701 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.8059006211180124, | |
| "eval_loss": 2.4239892959594727, | |
| "eval_runtime": 6.7886, | |
| "eval_samples_per_second": 94.864, | |
| "eval_steps_per_second": 11.932, | |
| "step": 1782 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.8027950310559007, | |
| "eval_loss": 2.3724544048309326, | |
| "eval_runtime": 6.8741, | |
| "eval_samples_per_second": 93.685, | |
| "eval_steps_per_second": 11.783, | |
| "step": 1863 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.8043478260869565, | |
| "eval_loss": 2.327075719833374, | |
| "eval_runtime": 7.4527, | |
| "eval_samples_per_second": 86.412, | |
| "eval_steps_per_second": 10.869, | |
| "step": 1944 | |
| }, | |
| { | |
| "epoch": 24.69, | |
| "learning_rate": 5.945945945945947e-06, | |
| "loss": 2.0899, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.8074534161490683, | |
| "eval_loss": 2.2822916507720947, | |
| "eval_runtime": 6.923, | |
| "eval_samples_per_second": 93.024, | |
| "eval_steps_per_second": 11.7, | |
| "step": 2025 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.812111801242236, | |
| "eval_loss": 2.2414402961730957, | |
| "eval_runtime": 6.7582, | |
| "eval_samples_per_second": 95.292, | |
| "eval_steps_per_second": 11.985, | |
| "step": 2106 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 2.198101043701172, | |
| "eval_runtime": 6.9757, | |
| "eval_samples_per_second": 92.32, | |
| "eval_steps_per_second": 11.612, | |
| "step": 2187 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.812111801242236, | |
| "eval_loss": 2.158327579498291, | |
| "eval_runtime": 6.8707, | |
| "eval_samples_per_second": 93.732, | |
| "eval_steps_per_second": 11.789, | |
| "step": 2268 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 2.1208977699279785, | |
| "eval_runtime": 7.0622, | |
| "eval_samples_per_second": 91.19, | |
| "eval_steps_per_second": 11.47, | |
| "step": 2349 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.8198757763975155, | |
| "eval_loss": 2.086048126220703, | |
| "eval_runtime": 7.4205, | |
| "eval_samples_per_second": 86.787, | |
| "eval_steps_per_second": 10.916, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 30.86, | |
| "learning_rate": 4.906444906444907e-06, | |
| "loss": 1.7517, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 2.054029941558838, | |
| "eval_runtime": 7.2868, | |
| "eval_samples_per_second": 88.38, | |
| "eval_steps_per_second": 11.116, | |
| "step": 2511 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.8214285714285714, | |
| "eval_loss": 2.0214383602142334, | |
| "eval_runtime": 6.9044, | |
| "eval_samples_per_second": 93.273, | |
| "eval_steps_per_second": 11.732, | |
| "step": 2592 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.8245341614906833, | |
| "eval_loss": 1.9886717796325684, | |
| "eval_runtime": 7.0403, | |
| "eval_samples_per_second": 91.474, | |
| "eval_steps_per_second": 11.505, | |
| "step": 2673 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.9592698812484741, | |
| "eval_runtime": 7.0078, | |
| "eval_samples_per_second": 91.898, | |
| "eval_steps_per_second": 11.559, | |
| "step": 2754 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.8136645962732919, | |
| "eval_loss": 1.9315446615219116, | |
| "eval_runtime": 6.9305, | |
| "eval_samples_per_second": 92.922, | |
| "eval_steps_per_second": 11.687, | |
| "step": 2835 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.8136645962732919, | |
| "eval_loss": 1.903202772140503, | |
| "eval_runtime": 7.1188, | |
| "eval_samples_per_second": 90.464, | |
| "eval_steps_per_second": 11.378, | |
| "step": 2916 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.8214285714285714, | |
| "eval_loss": 1.8818532228469849, | |
| "eval_runtime": 7.3502, | |
| "eval_samples_per_second": 87.617, | |
| "eval_steps_per_second": 11.02, | |
| "step": 2997 | |
| }, | |
| { | |
| "epoch": 37.04, | |
| "learning_rate": 3.866943866943867e-06, | |
| "loss": 1.4983, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.8198757763975155, | |
| "eval_loss": 1.85394287109375, | |
| "eval_runtime": 7.066, | |
| "eval_samples_per_second": 91.141, | |
| "eval_steps_per_second": 11.463, | |
| "step": 3078 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 1.8299955129623413, | |
| "eval_runtime": 6.9274, | |
| "eval_samples_per_second": 92.965, | |
| "eval_steps_per_second": 11.693, | |
| "step": 3159 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.8198757763975155, | |
| "eval_loss": 1.811854362487793, | |
| "eval_runtime": 6.9595, | |
| "eval_samples_per_second": 92.536, | |
| "eval_steps_per_second": 11.639, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.8136645962732919, | |
| "eval_loss": 1.7893236875534058, | |
| "eval_runtime": 6.921, | |
| "eval_samples_per_second": 93.05, | |
| "eval_steps_per_second": 11.704, | |
| "step": 3321 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.8214285714285714, | |
| "eval_loss": 1.7720342874526978, | |
| "eval_runtime": 6.8638, | |
| "eval_samples_per_second": 93.826, | |
| "eval_steps_per_second": 11.801, | |
| "step": 3402 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.7533122301101685, | |
| "eval_runtime": 7.194, | |
| "eval_samples_per_second": 89.519, | |
| "eval_steps_per_second": 11.259, | |
| "step": 3483 | |
| }, | |
| { | |
| "epoch": 43.21, | |
| "learning_rate": 2.827442827442828e-06, | |
| "loss": 1.3099, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.8214285714285714, | |
| "eval_loss": 1.7392221689224243, | |
| "eval_runtime": 6.9012, | |
| "eval_samples_per_second": 93.317, | |
| "eval_steps_per_second": 11.737, | |
| "step": 3564 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.71939218044281, | |
| "eval_runtime": 7.3602, | |
| "eval_samples_per_second": 87.497, | |
| "eval_steps_per_second": 11.005, | |
| "step": 3645 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.8183229813664596, | |
| "eval_loss": 1.7061350345611572, | |
| "eval_runtime": 7.1127, | |
| "eval_samples_per_second": 90.542, | |
| "eval_steps_per_second": 11.388, | |
| "step": 3726 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.8198757763975155, | |
| "eval_loss": 1.6922202110290527, | |
| "eval_runtime": 7.1567, | |
| "eval_samples_per_second": 89.986, | |
| "eval_steps_per_second": 11.318, | |
| "step": 3807 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.8136645962732919, | |
| "eval_loss": 1.6803785562515259, | |
| "eval_runtime": 6.8048, | |
| "eval_samples_per_second": 94.64, | |
| "eval_steps_per_second": 11.903, | |
| "step": 3888 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 1.6694267988204956, | |
| "eval_runtime": 7.2998, | |
| "eval_samples_per_second": 88.221, | |
| "eval_steps_per_second": 11.096, | |
| "step": 3969 | |
| }, | |
| { | |
| "epoch": 49.38, | |
| "learning_rate": 1.7879417879417881e-06, | |
| "loss": 1.1777, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.6600834131240845, | |
| "eval_runtime": 6.8099, | |
| "eval_samples_per_second": 94.568, | |
| "eval_steps_per_second": 11.894, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.8214285714285714, | |
| "eval_loss": 1.6486986875534058, | |
| "eval_runtime": 6.809, | |
| "eval_samples_per_second": 94.581, | |
| "eval_steps_per_second": 11.896, | |
| "step": 4131 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.8152173913043478, | |
| "eval_loss": 1.641870379447937, | |
| "eval_runtime": 6.9774, | |
| "eval_samples_per_second": 92.297, | |
| "eval_steps_per_second": 11.609, | |
| "step": 4212 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.6351778507232666, | |
| "eval_runtime": 7.0388, | |
| "eval_samples_per_second": 91.493, | |
| "eval_steps_per_second": 11.508, | |
| "step": 4293 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.812111801242236, | |
| "eval_loss": 1.6281042098999023, | |
| "eval_runtime": 7.0002, | |
| "eval_samples_per_second": 91.997, | |
| "eval_steps_per_second": 11.571, | |
| "step": 4374 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.6229327917099, | |
| "eval_runtime": 7.1102, | |
| "eval_samples_per_second": 90.574, | |
| "eval_steps_per_second": 11.392, | |
| "step": 4455 | |
| }, | |
| { | |
| "epoch": 55.56, | |
| "learning_rate": 7.484407484407485e-07, | |
| "loss": 1.0992, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.8136645962732919, | |
| "eval_loss": 1.6176931858062744, | |
| "eval_runtime": 6.9832, | |
| "eval_samples_per_second": 92.221, | |
| "eval_steps_per_second": 11.599, | |
| "step": 4536 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.8183229813664596, | |
| "eval_loss": 1.6147724390029907, | |
| "eval_runtime": 6.8902, | |
| "eval_samples_per_second": 93.465, | |
| "eval_steps_per_second": 11.756, | |
| "step": 4617 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.6121727228164673, | |
| "eval_runtime": 6.9785, | |
| "eval_samples_per_second": 92.283, | |
| "eval_steps_per_second": 11.607, | |
| "step": 4698 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.8167701863354038, | |
| "eval_loss": 1.6099027395248413, | |
| "eval_runtime": 7.0345, | |
| "eval_samples_per_second": 91.548, | |
| "eval_steps_per_second": 11.515, | |
| "step": 4779 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4860, | |
| "num_train_epochs": 60, | |
| "save_steps": 500, | |
| "total_flos": 1.1781939502129306e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |