|
{ |
|
"best_metric": 0.8613303269447576, |
|
"best_model_checkpoint": "vit-base-patch16-384-finetuned-galaxy10-decals/checkpoint-781", |
|
"epoch": 29.76, |
|
"eval_steps": 500, |
|
"global_step": 930, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 1.0752688172043012e-05, |
|
"loss": 2.2974, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 2.1505376344086024e-05, |
|
"loss": 2.0265, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 3.2258064516129034e-05, |
|
"loss": 1.5894, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_accuracy": 0.5744081172491544, |
|
"eval_f1": 0.5480702796340504, |
|
"eval_loss": 1.2731903791427612, |
|
"eval_precision": 0.5408951469363718, |
|
"eval_recall": 0.5744081172491544, |
|
"eval_runtime": 21.8126, |
|
"eval_samples_per_second": 81.329, |
|
"eval_steps_per_second": 0.642, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 4.301075268817205e-05, |
|
"loss": 1.2296, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 5.3763440860215054e-05, |
|
"loss": 0.9378, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 6.451612903225807e-05, |
|
"loss": 0.8001, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"eval_accuracy": 0.7976324689966178, |
|
"eval_f1": 0.7879640575454192, |
|
"eval_loss": 0.618441641330719, |
|
"eval_precision": 0.7933566799249927, |
|
"eval_recall": 0.7976324689966178, |
|
"eval_runtime": 22.1643, |
|
"eval_samples_per_second": 80.039, |
|
"eval_steps_per_second": 0.632, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 7.526881720430108e-05, |
|
"loss": 0.742, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"learning_rate": 8.60215053763441e-05, |
|
"loss": 0.6869, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 9.677419354838711e-05, |
|
"loss": 0.6895, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"eval_accuracy": 0.8066516347237881, |
|
"eval_f1": 0.7955335694474486, |
|
"eval_loss": 0.5823069214820862, |
|
"eval_precision": 0.7990571311786572, |
|
"eval_recall": 0.8066516347237881, |
|
"eval_runtime": 22.3324, |
|
"eval_samples_per_second": 79.436, |
|
"eval_steps_per_second": 0.627, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 9.916367980884111e-05, |
|
"loss": 0.6689, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 3.52, |
|
"learning_rate": 9.79689366786141e-05, |
|
"loss": 0.6449, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 9.677419354838711e-05, |
|
"loss": 0.6259, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8432919954904171, |
|
"eval_f1": 0.8367752646524916, |
|
"eval_loss": 0.49104946851730347, |
|
"eval_precision": 0.8426702265640142, |
|
"eval_recall": 0.8432919954904171, |
|
"eval_runtime": 22.0094, |
|
"eval_samples_per_second": 80.602, |
|
"eval_steps_per_second": 0.636, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"learning_rate": 9.55794504181601e-05, |
|
"loss": 0.5898, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"learning_rate": 9.438470728793309e-05, |
|
"loss": 0.5565, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 9.31899641577061e-05, |
|
"loss": 0.556, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"eval_accuracy": 0.846674182638106, |
|
"eval_f1": 0.8464510661392919, |
|
"eval_loss": 0.48742011189460754, |
|
"eval_precision": 0.8465088132210393, |
|
"eval_recall": 0.846674182638106, |
|
"eval_runtime": 22.0562, |
|
"eval_samples_per_second": 80.431, |
|
"eval_steps_per_second": 0.635, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 5.12, |
|
"learning_rate": 9.199522102747909e-05, |
|
"loss": 0.5251, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 5.44, |
|
"learning_rate": 9.080047789725208e-05, |
|
"loss": 0.5217, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 5.76, |
|
"learning_rate": 8.960573476702509e-05, |
|
"loss": 0.5116, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"eval_accuracy": 0.85456595264938, |
|
"eval_f1": 0.8517657628179492, |
|
"eval_loss": 0.47338515520095825, |
|
"eval_precision": 0.8568577324587641, |
|
"eval_recall": 0.85456595264938, |
|
"eval_runtime": 22.2468, |
|
"eval_samples_per_second": 79.742, |
|
"eval_steps_per_second": 0.629, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 6.08, |
|
"learning_rate": 8.84109916367981e-05, |
|
"loss": 0.5088, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 6.4, |
|
"learning_rate": 8.72162485065711e-05, |
|
"loss": 0.4811, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 6.72, |
|
"learning_rate": 8.60215053763441e-05, |
|
"loss": 0.4877, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 6.98, |
|
"eval_accuracy": 0.8461104847801578, |
|
"eval_f1": 0.8428422926421464, |
|
"eval_loss": 0.4538511335849762, |
|
"eval_precision": 0.8428871947589589, |
|
"eval_recall": 0.8461104847801578, |
|
"eval_runtime": 22.0712, |
|
"eval_samples_per_second": 80.376, |
|
"eval_steps_per_second": 0.634, |
|
"step": 218 |
|
}, |
|
{ |
|
"epoch": 7.04, |
|
"learning_rate": 8.482676224611709e-05, |
|
"loss": 0.4978, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 7.36, |
|
"learning_rate": 8.363201911589009e-05, |
|
"loss": 0.4539, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 7.68, |
|
"learning_rate": 8.243727598566309e-05, |
|
"loss": 0.4677, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 8.124253285543608e-05, |
|
"loss": 0.4383, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8376550169109357, |
|
"eval_f1": 0.8344803158108158, |
|
"eval_loss": 0.4715927839279175, |
|
"eval_precision": 0.8399037217806676, |
|
"eval_recall": 0.8376550169109357, |
|
"eval_runtime": 21.9794, |
|
"eval_samples_per_second": 80.712, |
|
"eval_steps_per_second": 0.637, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 8.32, |
|
"learning_rate": 8.004778972520908e-05, |
|
"loss": 0.4267, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 8.64, |
|
"learning_rate": 7.885304659498209e-05, |
|
"loss": 0.4439, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 8.96, |
|
"learning_rate": 7.765830346475508e-05, |
|
"loss": 0.4267, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 8.99, |
|
"eval_accuracy": 0.8602029312288614, |
|
"eval_f1": 0.8558609549343756, |
|
"eval_loss": 0.43548089265823364, |
|
"eval_precision": 0.8576044168006902, |
|
"eval_recall": 0.8602029312288614, |
|
"eval_runtime": 22.1787, |
|
"eval_samples_per_second": 79.987, |
|
"eval_steps_per_second": 0.631, |
|
"step": 281 |
|
}, |
|
{ |
|
"epoch": 9.28, |
|
"learning_rate": 7.646356033452809e-05, |
|
"loss": 0.3988, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 9.6, |
|
"learning_rate": 7.526881720430108e-05, |
|
"loss": 0.4008, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 9.92, |
|
"learning_rate": 7.407407407407407e-05, |
|
"loss": 0.4022, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 9.98, |
|
"eval_accuracy": 0.8376550169109357, |
|
"eval_f1": 0.8355648091511257, |
|
"eval_loss": 0.47575539350509644, |
|
"eval_precision": 0.8377044905358585, |
|
"eval_recall": 0.8376550169109357, |
|
"eval_runtime": 22.2342, |
|
"eval_samples_per_second": 79.787, |
|
"eval_steps_per_second": 0.63, |
|
"step": 312 |
|
}, |
|
{ |
|
"epoch": 10.24, |
|
"learning_rate": 7.287933094384708e-05, |
|
"loss": 0.3884, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 10.56, |
|
"learning_rate": 7.168458781362007e-05, |
|
"loss": 0.3949, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 10.88, |
|
"learning_rate": 7.048984468339306e-05, |
|
"loss": 0.3811, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 10.98, |
|
"eval_accuracy": 0.8494926719278467, |
|
"eval_f1": 0.8474377896340821, |
|
"eval_loss": 0.4537804424762726, |
|
"eval_precision": 0.8471164348108314, |
|
"eval_recall": 0.8494926719278467, |
|
"eval_runtime": 21.9928, |
|
"eval_samples_per_second": 80.663, |
|
"eval_steps_per_second": 0.637, |
|
"step": 343 |
|
}, |
|
{ |
|
"epoch": 11.2, |
|
"learning_rate": 6.929510155316607e-05, |
|
"loss": 0.3545, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 11.52, |
|
"learning_rate": 6.810035842293908e-05, |
|
"loss": 0.3437, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 11.84, |
|
"learning_rate": 6.690561529271207e-05, |
|
"loss": 0.3612, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.8438556933483653, |
|
"eval_f1": 0.83986286467956, |
|
"eval_loss": 0.4807531237602234, |
|
"eval_precision": 0.8412077042410786, |
|
"eval_recall": 0.8438556933483653, |
|
"eval_runtime": 21.9365, |
|
"eval_samples_per_second": 80.87, |
|
"eval_steps_per_second": 0.638, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 12.16, |
|
"learning_rate": 6.571087216248507e-05, |
|
"loss": 0.3442, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 12.48, |
|
"learning_rate": 6.451612903225807e-05, |
|
"loss": 0.3353, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 12.8, |
|
"learning_rate": 6.332138590203107e-05, |
|
"loss": 0.363, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 12.99, |
|
"eval_accuracy": 0.846674182638106, |
|
"eval_f1": 0.8458450902771538, |
|
"eval_loss": 0.4751308262348175, |
|
"eval_precision": 0.8502119134878978, |
|
"eval_recall": 0.846674182638106, |
|
"eval_runtime": 22.1071, |
|
"eval_samples_per_second": 80.246, |
|
"eval_steps_per_second": 0.633, |
|
"step": 406 |
|
}, |
|
{ |
|
"epoch": 13.12, |
|
"learning_rate": 6.212664277180407e-05, |
|
"loss": 0.3409, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 13.44, |
|
"learning_rate": 6.093189964157706e-05, |
|
"loss": 0.3311, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 13.76, |
|
"learning_rate": 5.9737156511350064e-05, |
|
"loss": 0.3198, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 13.98, |
|
"eval_accuracy": 0.8489289740698985, |
|
"eval_f1": 0.8450237290199628, |
|
"eval_loss": 0.47995442152023315, |
|
"eval_precision": 0.8497216931511434, |
|
"eval_recall": 0.8489289740698985, |
|
"eval_runtime": 22.3525, |
|
"eval_samples_per_second": 79.365, |
|
"eval_steps_per_second": 0.626, |
|
"step": 437 |
|
}, |
|
{ |
|
"epoch": 14.08, |
|
"learning_rate": 5.8542413381123063e-05, |
|
"loss": 0.3169, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 14.4, |
|
"learning_rate": 5.7347670250896056e-05, |
|
"loss": 0.3034, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 14.72, |
|
"learning_rate": 5.615292712066906e-05, |
|
"loss": 0.3192, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 14.98, |
|
"eval_accuracy": 0.8573844419391207, |
|
"eval_f1": 0.857032095022158, |
|
"eval_loss": 0.48344284296035767, |
|
"eval_precision": 0.8580034765886128, |
|
"eval_recall": 0.8573844419391207, |
|
"eval_runtime": 22.221, |
|
"eval_samples_per_second": 79.834, |
|
"eval_steps_per_second": 0.63, |
|
"step": 468 |
|
}, |
|
{ |
|
"epoch": 15.04, |
|
"learning_rate": 5.495818399044206e-05, |
|
"loss": 0.2982, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 15.36, |
|
"learning_rate": 5.3763440860215054e-05, |
|
"loss": 0.2866, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 15.68, |
|
"learning_rate": 5.256869772998806e-05, |
|
"loss": 0.2877, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"learning_rate": 5.137395459976105e-05, |
|
"loss": 0.3041, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.8494926719278467, |
|
"eval_f1": 0.8443027737508426, |
|
"eval_loss": 0.4879484176635742, |
|
"eval_precision": 0.8500026597900313, |
|
"eval_recall": 0.8494926719278467, |
|
"eval_runtime": 22.0401, |
|
"eval_samples_per_second": 80.49, |
|
"eval_steps_per_second": 0.635, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 16.32, |
|
"learning_rate": 5.017921146953405e-05, |
|
"loss": 0.2706, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 16.64, |
|
"learning_rate": 4.898446833930705e-05, |
|
"loss": 0.2924, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 16.96, |
|
"learning_rate": 4.778972520908005e-05, |
|
"loss": 0.2607, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 16.99, |
|
"eval_accuracy": 0.8540022547914318, |
|
"eval_f1": 0.8523463281841663, |
|
"eval_loss": 0.49578550457954407, |
|
"eval_precision": 0.8528831157271395, |
|
"eval_recall": 0.8540022547914318, |
|
"eval_runtime": 22.033, |
|
"eval_samples_per_second": 80.515, |
|
"eval_steps_per_second": 0.635, |
|
"step": 531 |
|
}, |
|
{ |
|
"epoch": 17.28, |
|
"learning_rate": 4.659498207885305e-05, |
|
"loss": 0.2715, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 17.6, |
|
"learning_rate": 4.540023894862604e-05, |
|
"loss": 0.2834, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 17.92, |
|
"learning_rate": 4.420549581839905e-05, |
|
"loss": 0.2649, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 17.98, |
|
"eval_accuracy": 0.8579481397970687, |
|
"eval_f1": 0.8562326829930054, |
|
"eval_loss": 0.49265938997268677, |
|
"eval_precision": 0.8570005813023908, |
|
"eval_recall": 0.8579481397970687, |
|
"eval_runtime": 22.3417, |
|
"eval_samples_per_second": 79.403, |
|
"eval_steps_per_second": 0.627, |
|
"step": 562 |
|
}, |
|
{ |
|
"epoch": 18.24, |
|
"learning_rate": 4.301075268817205e-05, |
|
"loss": 0.2624, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 18.56, |
|
"learning_rate": 4.1816009557945046e-05, |
|
"loss": 0.2423, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 18.88, |
|
"learning_rate": 4.062126642771804e-05, |
|
"loss": 0.2553, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 18.98, |
|
"eval_accuracy": 0.8494926719278467, |
|
"eval_f1": 0.8473638848040509, |
|
"eval_loss": 0.5094860196113586, |
|
"eval_precision": 0.847257566255885, |
|
"eval_recall": 0.8494926719278467, |
|
"eval_runtime": 21.8356, |
|
"eval_samples_per_second": 81.244, |
|
"eval_steps_per_second": 0.641, |
|
"step": 593 |
|
}, |
|
{ |
|
"epoch": 19.2, |
|
"learning_rate": 3.9426523297491045e-05, |
|
"loss": 0.2515, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 19.52, |
|
"learning_rate": 3.8231780167264044e-05, |
|
"loss": 0.2526, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 19.84, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 0.2453, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.8494926719278467, |
|
"eval_f1": 0.8467359900263874, |
|
"eval_loss": 0.5161798000335693, |
|
"eval_precision": 0.8467382302648213, |
|
"eval_recall": 0.8494926719278467, |
|
"eval_runtime": 22.0357, |
|
"eval_samples_per_second": 80.506, |
|
"eval_steps_per_second": 0.635, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 20.16, |
|
"learning_rate": 3.5842293906810036e-05, |
|
"loss": 0.2427, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 20.48, |
|
"learning_rate": 3.4647550776583035e-05, |
|
"loss": 0.2364, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 20.8, |
|
"learning_rate": 3.3452807646356034e-05, |
|
"loss": 0.2417, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 20.99, |
|
"eval_accuracy": 0.8579481397970687, |
|
"eval_f1": 0.8542523881152531, |
|
"eval_loss": 0.5374500751495361, |
|
"eval_precision": 0.8572760382500455, |
|
"eval_recall": 0.8579481397970687, |
|
"eval_runtime": 22.3872, |
|
"eval_samples_per_second": 79.242, |
|
"eval_steps_per_second": 0.625, |
|
"step": 656 |
|
}, |
|
{ |
|
"epoch": 21.12, |
|
"learning_rate": 3.2258064516129034e-05, |
|
"loss": 0.229, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 21.44, |
|
"learning_rate": 3.106332138590203e-05, |
|
"loss": 0.2359, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 21.76, |
|
"learning_rate": 2.9868578255675032e-05, |
|
"loss": 0.241, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 21.98, |
|
"eval_accuracy": 0.8568207440811725, |
|
"eval_f1": 0.8547169886868239, |
|
"eval_loss": 0.512915313243866, |
|
"eval_precision": 0.8545685444650545, |
|
"eval_recall": 0.8568207440811725, |
|
"eval_runtime": 22.1438, |
|
"eval_samples_per_second": 80.113, |
|
"eval_steps_per_second": 0.632, |
|
"step": 687 |
|
}, |
|
{ |
|
"epoch": 22.08, |
|
"learning_rate": 2.8673835125448028e-05, |
|
"loss": 0.2366, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 22.4, |
|
"learning_rate": 2.747909199522103e-05, |
|
"loss": 0.2258, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 22.72, |
|
"learning_rate": 2.628434886499403e-05, |
|
"loss": 0.2257, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 22.98, |
|
"eval_accuracy": 0.8596392333709132, |
|
"eval_f1": 0.8570784965746712, |
|
"eval_loss": 0.5315744280815125, |
|
"eval_precision": 0.8583802070333396, |
|
"eval_recall": 0.8596392333709132, |
|
"eval_runtime": 22.2978, |
|
"eval_samples_per_second": 79.559, |
|
"eval_steps_per_second": 0.628, |
|
"step": 718 |
|
}, |
|
{ |
|
"epoch": 23.04, |
|
"learning_rate": 2.5089605734767026e-05, |
|
"loss": 0.2263, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 23.36, |
|
"learning_rate": 2.3894862604540025e-05, |
|
"loss": 0.2182, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 23.68, |
|
"learning_rate": 2.270011947431302e-05, |
|
"loss": 0.2297, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"learning_rate": 2.1505376344086024e-05, |
|
"loss": 0.2087, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.8511837655016911, |
|
"eval_f1": 0.848921831106386, |
|
"eval_loss": 0.5529980659484863, |
|
"eval_precision": 0.849654051064782, |
|
"eval_recall": 0.8511837655016911, |
|
"eval_runtime": 22.0692, |
|
"eval_samples_per_second": 80.383, |
|
"eval_steps_per_second": 0.634, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 24.32, |
|
"learning_rate": 2.031063321385902e-05, |
|
"loss": 0.2279, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 24.64, |
|
"learning_rate": 1.9115890083632022e-05, |
|
"loss": 0.2103, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 24.96, |
|
"learning_rate": 1.7921146953405018e-05, |
|
"loss": 0.2196, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 24.99, |
|
"eval_accuracy": 0.8613303269447576, |
|
"eval_f1": 0.8596444828561277, |
|
"eval_loss": 0.5422354936599731, |
|
"eval_precision": 0.8600050951653831, |
|
"eval_recall": 0.8613303269447576, |
|
"eval_runtime": 22.3792, |
|
"eval_samples_per_second": 79.27, |
|
"eval_steps_per_second": 0.626, |
|
"step": 781 |
|
}, |
|
{ |
|
"epoch": 25.28, |
|
"learning_rate": 1.6726403823178017e-05, |
|
"loss": 0.1947, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 25.6, |
|
"learning_rate": 1.5531660692951016e-05, |
|
"loss": 0.2016, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 25.92, |
|
"learning_rate": 1.4336917562724014e-05, |
|
"loss": 0.1975, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 25.98, |
|
"eval_accuracy": 0.8528748590755355, |
|
"eval_f1": 0.850826122514615, |
|
"eval_loss": 0.5671515464782715, |
|
"eval_precision": 0.8533722924188255, |
|
"eval_recall": 0.8528748590755355, |
|
"eval_runtime": 22.1344, |
|
"eval_samples_per_second": 80.147, |
|
"eval_steps_per_second": 0.632, |
|
"step": 812 |
|
}, |
|
{ |
|
"epoch": 26.24, |
|
"learning_rate": 1.3142174432497015e-05, |
|
"loss": 0.2206, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 26.56, |
|
"learning_rate": 1.1947431302270013e-05, |
|
"loss": 0.2007, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 26.88, |
|
"learning_rate": 1.0752688172043012e-05, |
|
"loss": 0.2135, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 26.98, |
|
"eval_accuracy": 0.8523111612175873, |
|
"eval_f1": 0.8508686765834379, |
|
"eval_loss": 0.5697333216667175, |
|
"eval_precision": 0.8512784330826557, |
|
"eval_recall": 0.8523111612175873, |
|
"eval_runtime": 21.9964, |
|
"eval_samples_per_second": 80.65, |
|
"eval_steps_per_second": 0.636, |
|
"step": 843 |
|
}, |
|
{ |
|
"epoch": 27.2, |
|
"learning_rate": 9.557945041816011e-06, |
|
"loss": 0.2134, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 27.52, |
|
"learning_rate": 8.363201911589009e-06, |
|
"loss": 0.2157, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 27.84, |
|
"learning_rate": 7.168458781362007e-06, |
|
"loss": 0.1946, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.8556933483652762, |
|
"eval_f1": 0.8536344252156703, |
|
"eval_loss": 0.5598114728927612, |
|
"eval_precision": 0.854160182325068, |
|
"eval_recall": 0.8556933483652762, |
|
"eval_runtime": 22.2731, |
|
"eval_samples_per_second": 79.648, |
|
"eval_steps_per_second": 0.629, |
|
"step": 875 |
|
}, |
|
{ |
|
"epoch": 28.16, |
|
"learning_rate": 5.973715651135006e-06, |
|
"loss": 0.2131, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 28.48, |
|
"learning_rate": 4.7789725209080055e-06, |
|
"loss": 0.1988, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 28.8, |
|
"learning_rate": 3.5842293906810035e-06, |
|
"loss": 0.2006, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 28.99, |
|
"eval_accuracy": 0.859075535512965, |
|
"eval_f1": 0.8559520451985321, |
|
"eval_loss": 0.5581933259963989, |
|
"eval_precision": 0.8565751475892288, |
|
"eval_recall": 0.859075535512965, |
|
"eval_runtime": 22.1527, |
|
"eval_samples_per_second": 80.081, |
|
"eval_steps_per_second": 0.632, |
|
"step": 906 |
|
}, |
|
{ |
|
"epoch": 29.12, |
|
"learning_rate": 2.3894862604540028e-06, |
|
"loss": 0.2068, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 29.44, |
|
"learning_rate": 1.1947431302270014e-06, |
|
"loss": 0.188, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 29.76, |
|
"learning_rate": 0.0, |
|
"loss": 0.1968, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 29.76, |
|
"eval_accuracy": 0.859075535512965, |
|
"eval_f1": 0.8563712215450049, |
|
"eval_loss": 0.5570882558822632, |
|
"eval_precision": 0.8570535356400701, |
|
"eval_recall": 0.859075535512965, |
|
"eval_runtime": 22.3987, |
|
"eval_samples_per_second": 79.201, |
|
"eval_steps_per_second": 0.625, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 29.76, |
|
"step": 930, |
|
"total_flos": 1.0856143898633267e+20, |
|
"train_loss": 0.41153401379944177, |
|
"train_runtime": 9651.1603, |
|
"train_samples_per_second": 49.617, |
|
"train_steps_per_second": 0.096 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 930, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 30, |
|
"save_steps": 500, |
|
"total_flos": 1.0856143898633267e+20, |
|
"train_batch_size": 128, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|