|
{ |
|
"best_metric": 0.7018599562363238, |
|
"best_model_checkpoint": "/tmp/test-ner1_/checkpoint-52109", |
|
"epoch": 120.0, |
|
"global_step": 58440, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7978578755277784, |
|
"eval_f1": 0.5672056594239515, |
|
"eval_loss": 0.6516662240028381, |
|
"eval_precision": 0.5179972311952007, |
|
"eval_recall": 0.6267448352875489, |
|
"eval_runtime": 6.9697, |
|
"eval_samples_per_second": 159.549, |
|
"eval_steps_per_second": 10.044, |
|
"step": 487 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 2.9743326488706367e-05, |
|
"loss": 1.0091, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8116457145583359, |
|
"eval_f1": 0.5956049507451376, |
|
"eval_loss": 0.6197972893714905, |
|
"eval_precision": 0.5438191881918819, |
|
"eval_recall": 0.6582914572864321, |
|
"eval_runtime": 6.8446, |
|
"eval_samples_per_second": 162.464, |
|
"eval_steps_per_second": 10.227, |
|
"step": 974 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"learning_rate": 2.9486652977412733e-05, |
|
"loss": 0.5042, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8094272560291977, |
|
"eval_f1": 0.616483796886961, |
|
"eval_loss": 0.6614459753036499, |
|
"eval_precision": 0.5676691729323309, |
|
"eval_recall": 0.6744835287548855, |
|
"eval_runtime": 6.7608, |
|
"eval_samples_per_second": 164.478, |
|
"eval_steps_per_second": 10.354, |
|
"step": 1461 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 2.9229979466119096e-05, |
|
"loss": 0.3543, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8230719687030367, |
|
"eval_f1": 0.6266820453671665, |
|
"eval_loss": 0.6793712377548218, |
|
"eval_precision": 0.5792466240227434, |
|
"eval_recall": 0.6825795644891123, |
|
"eval_runtime": 7.0887, |
|
"eval_samples_per_second": 156.869, |
|
"eval_steps_per_second": 9.875, |
|
"step": 1948 |
|
}, |
|
{ |
|
"epoch": 4.11, |
|
"learning_rate": 2.8973305954825462e-05, |
|
"loss": 0.2476, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8249326113403783, |
|
"eval_f1": 0.653114074841383, |
|
"eval_loss": 0.7132434248924255, |
|
"eval_precision": 0.6090316348708041, |
|
"eval_recall": 0.7040759352317141, |
|
"eval_runtime": 6.8077, |
|
"eval_samples_per_second": 163.344, |
|
"eval_steps_per_second": 10.282, |
|
"step": 2435 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 2.8716632443531828e-05, |
|
"loss": 0.1849, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8218553946709286, |
|
"eval_f1": 0.6443319049474094, |
|
"eval_loss": 0.776131272315979, |
|
"eval_precision": 0.6023306627822287, |
|
"eval_recall": 0.6926298157453936, |
|
"eval_runtime": 6.8192, |
|
"eval_samples_per_second": 163.07, |
|
"eval_steps_per_second": 10.265, |
|
"step": 2922 |
|
}, |
|
{ |
|
"epoch": 6.16, |
|
"learning_rate": 2.8459958932238194e-05, |
|
"loss": 0.1465, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8172992056487202, |
|
"eval_f1": 0.6444159178433889, |
|
"eval_loss": 0.8293828368186951, |
|
"eval_precision": 0.5964828897338403, |
|
"eval_recall": 0.7007258514796203, |
|
"eval_runtime": 6.7817, |
|
"eval_samples_per_second": 163.971, |
|
"eval_steps_per_second": 10.322, |
|
"step": 3409 |
|
}, |
|
{ |
|
"epoch": 7.19, |
|
"learning_rate": 2.8203285420944557e-05, |
|
"loss": 0.1176, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8229765511318909, |
|
"eval_f1": 0.6518829549927831, |
|
"eval_loss": 0.8652628064155579, |
|
"eval_precision": 0.6150037137905422, |
|
"eval_recall": 0.6934673366834171, |
|
"eval_runtime": 6.8373, |
|
"eval_samples_per_second": 162.638, |
|
"eval_steps_per_second": 10.238, |
|
"step": 3896 |
|
}, |
|
{ |
|
"epoch": 8.21, |
|
"learning_rate": 2.7946611909650923e-05, |
|
"loss": 0.1023, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.822642589632881, |
|
"eval_f1": 0.6499869007073618, |
|
"eval_loss": 0.8613839745521545, |
|
"eval_precision": 0.6122902270483712, |
|
"eval_recall": 0.6926298157453936, |
|
"eval_runtime": 6.8784, |
|
"eval_samples_per_second": 161.665, |
|
"eval_steps_per_second": 10.177, |
|
"step": 4383 |
|
}, |
|
{ |
|
"epoch": 9.24, |
|
"learning_rate": 2.7689938398357292e-05, |
|
"loss": 0.0823, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.8216168507430643, |
|
"eval_f1": 0.6437475396929537, |
|
"eval_loss": 0.9824637174606323, |
|
"eval_precision": 0.6073285466699678, |
|
"eval_recall": 0.6848129536571748, |
|
"eval_runtime": 6.8843, |
|
"eval_samples_per_second": 161.527, |
|
"eval_steps_per_second": 10.168, |
|
"step": 4870 |
|
}, |
|
{ |
|
"epoch": 10.27, |
|
"learning_rate": 2.743326488706366e-05, |
|
"loss": 0.069, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.8247894849836598, |
|
"eval_f1": 0.6582144743792923, |
|
"eval_loss": 0.9782905578613281, |
|
"eval_precision": 0.624561403508772, |
|
"eval_recall": 0.6957007258514796, |
|
"eval_runtime": 6.9683, |
|
"eval_samples_per_second": 159.58, |
|
"eval_steps_per_second": 10.046, |
|
"step": 5357 |
|
}, |
|
{ |
|
"epoch": 11.29, |
|
"learning_rate": 2.717659137577002e-05, |
|
"loss": 0.0578, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.8224040457050166, |
|
"eval_f1": 0.654025974025974, |
|
"eval_loss": 1.003711462020874, |
|
"eval_precision": 0.6114618746964546, |
|
"eval_recall": 0.7029592406476829, |
|
"eval_runtime": 7.0443, |
|
"eval_samples_per_second": 157.859, |
|
"eval_steps_per_second": 9.937, |
|
"step": 5844 |
|
}, |
|
{ |
|
"epoch": 12.32, |
|
"learning_rate": 2.6919917864476387e-05, |
|
"loss": 0.0522, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.8160826316166122, |
|
"eval_f1": 0.6486343145054362, |
|
"eval_loss": 1.0798953771591187, |
|
"eval_precision": 0.6176767676767677, |
|
"eval_recall": 0.68285873813512, |
|
"eval_runtime": 6.9483, |
|
"eval_samples_per_second": 160.039, |
|
"eval_steps_per_second": 10.074, |
|
"step": 6331 |
|
}, |
|
{ |
|
"epoch": 13.35, |
|
"learning_rate": 2.6663244353182754e-05, |
|
"loss": 0.0461, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.8203048591398105, |
|
"eval_f1": 0.651880674448768, |
|
"eval_loss": 1.0693352222442627, |
|
"eval_precision": 0.6087693798449613, |
|
"eval_recall": 0.7015633724176438, |
|
"eval_runtime": 7.0475, |
|
"eval_samples_per_second": 157.787, |
|
"eval_steps_per_second": 9.933, |
|
"step": 6818 |
|
}, |
|
{ |
|
"epoch": 14.37, |
|
"learning_rate": 2.640657084188912e-05, |
|
"loss": 0.0402, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.8230242599174638, |
|
"eval_f1": 0.6548117154811716, |
|
"eval_loss": 1.055952548980713, |
|
"eval_precision": 0.6158386620757501, |
|
"eval_recall": 0.6990508096035735, |
|
"eval_runtime": 6.7343, |
|
"eval_samples_per_second": 165.125, |
|
"eval_steps_per_second": 10.395, |
|
"step": 7305 |
|
}, |
|
{ |
|
"epoch": 15.4, |
|
"learning_rate": 2.6149897330595482e-05, |
|
"loss": 0.0369, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.819660790534577, |
|
"eval_f1": 0.6594724220623501, |
|
"eval_loss": 1.104617714881897, |
|
"eval_precision": 0.6307339449541285, |
|
"eval_recall": 0.6909547738693468, |
|
"eval_runtime": 6.9981, |
|
"eval_samples_per_second": 158.901, |
|
"eval_steps_per_second": 10.003, |
|
"step": 7792 |
|
}, |
|
{ |
|
"epoch": 16.43, |
|
"learning_rate": 2.589322381930185e-05, |
|
"loss": 0.0391, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.8232628038453281, |
|
"eval_f1": 0.6534837425348374, |
|
"eval_loss": 1.1480329036712646, |
|
"eval_precision": 0.622818112825702, |
|
"eval_recall": 0.6873255164712451, |
|
"eval_runtime": 6.8282, |
|
"eval_samples_per_second": 162.854, |
|
"eval_steps_per_second": 10.252, |
|
"step": 8279 |
|
}, |
|
{ |
|
"epoch": 17.45, |
|
"learning_rate": 2.5636550308008215e-05, |
|
"loss": 0.0537, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.8203764223181699, |
|
"eval_f1": 0.6538308325587572, |
|
"eval_loss": 1.2140594720840454, |
|
"eval_precision": 0.6234489744239048, |
|
"eval_recall": 0.6873255164712451, |
|
"eval_runtime": 6.8978, |
|
"eval_samples_per_second": 161.212, |
|
"eval_steps_per_second": 10.148, |
|
"step": 8766 |
|
}, |
|
{ |
|
"epoch": 18.48, |
|
"learning_rate": 2.537987679671458e-05, |
|
"loss": 0.0497, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.818945158750984, |
|
"eval_f1": 0.6579537953795379, |
|
"eval_loss": 1.222991943359375, |
|
"eval_precision": 0.6240921612822439, |
|
"eval_recall": 0.6957007258514796, |
|
"eval_runtime": 6.7892, |
|
"eval_samples_per_second": 163.791, |
|
"eval_steps_per_second": 10.311, |
|
"step": 9253 |
|
}, |
|
{ |
|
"epoch": 19.51, |
|
"learning_rate": 2.5123203285420943e-05, |
|
"loss": 0.0512, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.8268171083705065, |
|
"eval_f1": 0.6670205706702057, |
|
"eval_loss": 1.207837462425232, |
|
"eval_precision": 0.6357197065519858, |
|
"eval_recall": 0.7015633724176438, |
|
"eval_runtime": 6.7858, |
|
"eval_samples_per_second": 163.871, |
|
"eval_steps_per_second": 10.316, |
|
"step": 9740 |
|
}, |
|
{ |
|
"epoch": 20.53, |
|
"learning_rate": 2.486652977412731e-05, |
|
"loss": 0.0508, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"eval_accuracy": 0.8178240022900217, |
|
"eval_f1": 0.6514255682564709, |
|
"eval_loss": 1.1940995454788208, |
|
"eval_precision": 0.615289153636138, |
|
"eval_recall": 0.692071468453378, |
|
"eval_runtime": 6.9352, |
|
"eval_samples_per_second": 160.342, |
|
"eval_steps_per_second": 10.093, |
|
"step": 10227 |
|
}, |
|
{ |
|
"epoch": 21.56, |
|
"learning_rate": 2.4609856262833676e-05, |
|
"loss": 0.044, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"eval_accuracy": 0.8161064860093986, |
|
"eval_f1": 0.6639004149377594, |
|
"eval_loss": 1.311377763748169, |
|
"eval_precision": 0.6376960658266907, |
|
"eval_recall": 0.6923506420993858, |
|
"eval_runtime": 6.93, |
|
"eval_samples_per_second": 160.462, |
|
"eval_steps_per_second": 10.101, |
|
"step": 10714 |
|
}, |
|
{ |
|
"epoch": 22.59, |
|
"learning_rate": 2.4353182751540042e-05, |
|
"loss": 0.041, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"eval_accuracy": 0.8165120106867679, |
|
"eval_f1": 0.6519497686715136, |
|
"eval_loss": 1.2640310525894165, |
|
"eval_precision": 0.6191313080592519, |
|
"eval_recall": 0.6884422110552764, |
|
"eval_runtime": 6.7498, |
|
"eval_samples_per_second": 164.745, |
|
"eval_steps_per_second": 10.371, |
|
"step": 11201 |
|
}, |
|
{ |
|
"epoch": 23.61, |
|
"learning_rate": 2.4096509240246405e-05, |
|
"loss": 0.0216, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.824026144414494, |
|
"eval_f1": 0.6626618608997463, |
|
"eval_loss": 1.3126922845840454, |
|
"eval_precision": 0.6349449987209005, |
|
"eval_recall": 0.6929089893914014, |
|
"eval_runtime": 6.9538, |
|
"eval_samples_per_second": 159.913, |
|
"eval_steps_per_second": 10.066, |
|
"step": 11688 |
|
}, |
|
{ |
|
"epoch": 24.64, |
|
"learning_rate": 2.383983572895277e-05, |
|
"loss": 0.0187, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"eval_accuracy": 0.8228572791679588, |
|
"eval_f1": 0.6716637665640476, |
|
"eval_loss": 1.3328564167022705, |
|
"eval_precision": 0.6451529956286963, |
|
"eval_recall": 0.7004466778336125, |
|
"eval_runtime": 6.8192, |
|
"eval_samples_per_second": 163.069, |
|
"eval_steps_per_second": 10.265, |
|
"step": 12175 |
|
}, |
|
{ |
|
"epoch": 25.67, |
|
"learning_rate": 2.3583162217659137e-05, |
|
"loss": 0.0158, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"eval_accuracy": 0.8177047303260896, |
|
"eval_f1": 0.6601762925930797, |
|
"eval_loss": 1.2958290576934814, |
|
"eval_precision": 0.6242846479223687, |
|
"eval_recall": 0.7004466778336125, |
|
"eval_runtime": 6.9466, |
|
"eval_samples_per_second": 160.077, |
|
"eval_steps_per_second": 10.077, |
|
"step": 12662 |
|
}, |
|
{ |
|
"epoch": 26.69, |
|
"learning_rate": 2.3326488706365506e-05, |
|
"loss": 0.0151, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 27.0, |
|
"eval_accuracy": 0.818062546217886, |
|
"eval_f1": 0.6571240971766251, |
|
"eval_loss": 1.3275514841079712, |
|
"eval_precision": 0.6203818497396479, |
|
"eval_recall": 0.6984924623115578, |
|
"eval_runtime": 6.7421, |
|
"eval_samples_per_second": 164.934, |
|
"eval_steps_per_second": 10.383, |
|
"step": 13149 |
|
}, |
|
{ |
|
"epoch": 27.72, |
|
"learning_rate": 2.306981519507187e-05, |
|
"loss": 0.016, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.8251473008754562, |
|
"eval_f1": 0.6730201342281878, |
|
"eval_loss": 1.2671375274658203, |
|
"eval_precision": 0.6481385729058945, |
|
"eval_recall": 0.6998883305415968, |
|
"eval_runtime": 6.8365, |
|
"eval_samples_per_second": 162.657, |
|
"eval_steps_per_second": 10.239, |
|
"step": 13636 |
|
}, |
|
{ |
|
"epoch": 28.75, |
|
"learning_rate": 2.2813141683778235e-05, |
|
"loss": 0.0157, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 29.0, |
|
"eval_accuracy": 0.8204241311037428, |
|
"eval_f1": 0.654650703854756, |
|
"eval_loss": 1.3373730182647705, |
|
"eval_precision": 0.6190594675292361, |
|
"eval_recall": 0.6945840312674484, |
|
"eval_runtime": 7.169, |
|
"eval_samples_per_second": 155.113, |
|
"eval_steps_per_second": 9.764, |
|
"step": 14123 |
|
}, |
|
{ |
|
"epoch": 29.77, |
|
"learning_rate": 2.25564681724846e-05, |
|
"loss": 0.0146, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy": 0.8191598482860619, |
|
"eval_f1": 0.6739956568946797, |
|
"eval_loss": 1.394074559211731, |
|
"eval_precision": 0.655837295298468, |
|
"eval_recall": 0.6931881630374093, |
|
"eval_runtime": 6.8998, |
|
"eval_samples_per_second": 161.164, |
|
"eval_steps_per_second": 10.145, |
|
"step": 14610 |
|
}, |
|
{ |
|
"epoch": 30.8, |
|
"learning_rate": 2.2299794661190967e-05, |
|
"loss": 0.0134, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 31.0, |
|
"eval_accuracy": 0.8163927387228358, |
|
"eval_f1": 0.6588835212023617, |
|
"eval_loss": 1.4215149879455566, |
|
"eval_precision": 0.6343669250645995, |
|
"eval_recall": 0.6853713009491904, |
|
"eval_runtime": 6.8752, |
|
"eval_samples_per_second": 161.741, |
|
"eval_steps_per_second": 10.182, |
|
"step": 15097 |
|
}, |
|
{ |
|
"epoch": 31.83, |
|
"learning_rate": 2.204312114989733e-05, |
|
"loss": 0.0146, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.8197562081057227, |
|
"eval_f1": 0.6717123935666982, |
|
"eval_loss": 1.4602118730545044, |
|
"eval_precision": 0.6510348441184176, |
|
"eval_recall": 0.6937465103294249, |
|
"eval_runtime": 6.8475, |
|
"eval_samples_per_second": 162.396, |
|
"eval_steps_per_second": 10.223, |
|
"step": 15584 |
|
}, |
|
{ |
|
"epoch": 32.85, |
|
"learning_rate": 2.1786447638603696e-05, |
|
"loss": 0.0105, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 33.0, |
|
"eval_accuracy": 0.823978435628921, |
|
"eval_f1": 0.6736138944555778, |
|
"eval_loss": 1.4084781408309937, |
|
"eval_precision": 0.6459133999487574, |
|
"eval_recall": 0.7037967615857063, |
|
"eval_runtime": 6.812, |
|
"eval_samples_per_second": 163.241, |
|
"eval_steps_per_second": 10.276, |
|
"step": 16071 |
|
}, |
|
{ |
|
"epoch": 33.88, |
|
"learning_rate": 2.1529774127310062e-05, |
|
"loss": 0.0135, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"eval_accuracy": 0.8166312826507002, |
|
"eval_f1": 0.6652519893899204, |
|
"eval_loss": 1.3592619895935059, |
|
"eval_precision": 0.6336533602829711, |
|
"eval_recall": 0.7001675041876047, |
|
"eval_runtime": 6.8441, |
|
"eval_samples_per_second": 162.475, |
|
"eval_steps_per_second": 10.228, |
|
"step": 16558 |
|
}, |
|
{ |
|
"epoch": 34.91, |
|
"learning_rate": 2.127310061601643e-05, |
|
"loss": 0.0155, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"eval_accuracy": 0.8221893561699387, |
|
"eval_f1": 0.6724347708530485, |
|
"eval_loss": 1.3412460088729858, |
|
"eval_precision": 0.6519003931847969, |
|
"eval_recall": 0.6943048576214406, |
|
"eval_runtime": 6.8473, |
|
"eval_samples_per_second": 162.4, |
|
"eval_steps_per_second": 10.223, |
|
"step": 17045 |
|
}, |
|
{ |
|
"epoch": 35.93, |
|
"learning_rate": 2.1016427104722795e-05, |
|
"loss": 0.0141, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.8219031034565015, |
|
"eval_f1": 0.6687940433452998, |
|
"eval_loss": 1.3676053285598755, |
|
"eval_precision": 0.6384869256156385, |
|
"eval_recall": 0.7021217197096594, |
|
"eval_runtime": 6.9597, |
|
"eval_samples_per_second": 159.777, |
|
"eval_steps_per_second": 10.058, |
|
"step": 17532 |
|
}, |
|
{ |
|
"epoch": 36.96, |
|
"learning_rate": 2.0759753593429157e-05, |
|
"loss": 0.0145, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 37.0, |
|
"eval_accuracy": 0.825075737697097, |
|
"eval_f1": 0.6776680643852293, |
|
"eval_loss": 1.3878055810928345, |
|
"eval_precision": 0.6573077932301233, |
|
"eval_recall": 0.6993299832495813, |
|
"eval_runtime": 6.8928, |
|
"eval_samples_per_second": 161.328, |
|
"eval_steps_per_second": 10.156, |
|
"step": 18019 |
|
}, |
|
{ |
|
"epoch": 37.99, |
|
"learning_rate": 2.0503080082135523e-05, |
|
"loss": 0.0106, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"eval_accuracy": 0.8239307268433482, |
|
"eval_f1": 0.6637612255678816, |
|
"eval_loss": 1.4313843250274658, |
|
"eval_precision": 0.6298245614035087, |
|
"eval_recall": 0.7015633724176438, |
|
"eval_runtime": 6.9946, |
|
"eval_samples_per_second": 158.98, |
|
"eval_steps_per_second": 10.008, |
|
"step": 18506 |
|
}, |
|
{ |
|
"epoch": 39.0, |
|
"eval_accuracy": 0.8281529543665466, |
|
"eval_f1": 0.6862638851259821, |
|
"eval_loss": 1.3729307651519775, |
|
"eval_precision": 0.666578947368421, |
|
"eval_recall": 0.7071468453378001, |
|
"eval_runtime": 6.8415, |
|
"eval_samples_per_second": 162.538, |
|
"eval_steps_per_second": 10.232, |
|
"step": 18993 |
|
}, |
|
{ |
|
"epoch": 39.01, |
|
"learning_rate": 2.024640657084189e-05, |
|
"loss": 0.0112, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy": 0.8282960807232652, |
|
"eval_f1": 0.6758787228333781, |
|
"eval_loss": 1.3454548120498657, |
|
"eval_precision": 0.6505681818181818, |
|
"eval_recall": 0.7032384142936907, |
|
"eval_runtime": 6.9483, |
|
"eval_samples_per_second": 160.038, |
|
"eval_steps_per_second": 10.074, |
|
"step": 19480 |
|
}, |
|
{ |
|
"epoch": 40.04, |
|
"learning_rate": 1.9989733059548256e-05, |
|
"loss": 0.0109, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 41.0, |
|
"eval_accuracy": 0.8278189928675366, |
|
"eval_f1": 0.6729643427354975, |
|
"eval_loss": 1.3883967399597168, |
|
"eval_precision": 0.6428571428571429, |
|
"eval_recall": 0.7060301507537688, |
|
"eval_runtime": 6.8639, |
|
"eval_samples_per_second": 162.007, |
|
"eval_steps_per_second": 10.198, |
|
"step": 19967 |
|
}, |
|
{ |
|
"epoch": 41.07, |
|
"learning_rate": 1.973305954825462e-05, |
|
"loss": 0.0084, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 42.0, |
|
"eval_accuracy": 0.8254812623744663, |
|
"eval_f1": 0.6738408396439485, |
|
"eval_loss": 1.4240161180496216, |
|
"eval_precision": 0.6428390367553866, |
|
"eval_recall": 0.7079843662758235, |
|
"eval_runtime": 6.8987, |
|
"eval_samples_per_second": 161.191, |
|
"eval_steps_per_second": 10.147, |
|
"step": 20454 |
|
}, |
|
{ |
|
"epoch": 42.09, |
|
"learning_rate": 1.9476386036960984e-05, |
|
"loss": 0.0082, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 43.0, |
|
"eval_accuracy": 0.8176331671477303, |
|
"eval_f1": 0.6438536456962358, |
|
"eval_loss": 1.4279741048812866, |
|
"eval_precision": 0.6090637450199203, |
|
"eval_recall": 0.68285873813512, |
|
"eval_runtime": 6.884, |
|
"eval_samples_per_second": 161.533, |
|
"eval_steps_per_second": 10.168, |
|
"step": 20941 |
|
}, |
|
{ |
|
"epoch": 43.12, |
|
"learning_rate": 1.921971252566735e-05, |
|
"loss": 0.0122, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"eval_accuracy": 0.8239068724505618, |
|
"eval_f1": 0.6773326162947029, |
|
"eval_loss": 1.4722952842712402, |
|
"eval_precision": 0.6532676348547718, |
|
"eval_recall": 0.7032384142936907, |
|
"eval_runtime": 6.8269, |
|
"eval_samples_per_second": 162.886, |
|
"eval_steps_per_second": 10.254, |
|
"step": 21428 |
|
}, |
|
{ |
|
"epoch": 44.15, |
|
"learning_rate": 1.896303901437372e-05, |
|
"loss": 0.0082, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 45.0, |
|
"eval_accuracy": 0.8180386918250996, |
|
"eval_f1": 0.6551905387647833, |
|
"eval_loss": 1.5150511264801025, |
|
"eval_precision": 0.6189175769612711, |
|
"eval_recall": 0.6959798994974874, |
|
"eval_runtime": 6.807, |
|
"eval_samples_per_second": 163.361, |
|
"eval_steps_per_second": 10.284, |
|
"step": 21915 |
|
}, |
|
{ |
|
"epoch": 45.17, |
|
"learning_rate": 1.8706365503080083e-05, |
|
"loss": 0.0068, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 46.0, |
|
"eval_accuracy": 0.8210681997089764, |
|
"eval_f1": 0.6669309023649095, |
|
"eval_loss": 1.4440630674362183, |
|
"eval_precision": 0.6330574366691748, |
|
"eval_recall": 0.7046342825237297, |
|
"eval_runtime": 6.8346, |
|
"eval_samples_per_second": 162.702, |
|
"eval_steps_per_second": 10.242, |
|
"step": 22402 |
|
}, |
|
{ |
|
"epoch": 46.2, |
|
"learning_rate": 1.844969199178645e-05, |
|
"loss": 0.0074, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 47.0, |
|
"eval_accuracy": 0.8202571503542377, |
|
"eval_f1": 0.6726807593914097, |
|
"eval_loss": 1.4752631187438965, |
|
"eval_precision": 0.6496749024707412, |
|
"eval_recall": 0.6973757677275265, |
|
"eval_runtime": 6.7986, |
|
"eval_samples_per_second": 163.564, |
|
"eval_steps_per_second": 10.296, |
|
"step": 22889 |
|
}, |
|
{ |
|
"epoch": 47.23, |
|
"learning_rate": 1.8193018480492815e-05, |
|
"loss": 0.0076, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"eval_accuracy": 0.8214975787791322, |
|
"eval_f1": 0.6728770082354529, |
|
"eval_loss": 1.5147960186004639, |
|
"eval_precision": 0.6515032679738562, |
|
"eval_recall": 0.6957007258514796, |
|
"eval_runtime": 6.8796, |
|
"eval_samples_per_second": 161.637, |
|
"eval_steps_per_second": 10.175, |
|
"step": 23376 |
|
}, |
|
{ |
|
"epoch": 48.25, |
|
"learning_rate": 1.793634496919918e-05, |
|
"loss": 0.0098, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 49.0, |
|
"eval_accuracy": 0.8233343670236875, |
|
"eval_f1": 0.6630391506303915, |
|
"eval_loss": 1.4481282234191895, |
|
"eval_precision": 0.6319251201619024, |
|
"eval_recall": 0.6973757677275265, |
|
"eval_runtime": 6.9541, |
|
"eval_samples_per_second": 159.906, |
|
"eval_steps_per_second": 10.066, |
|
"step": 23863 |
|
}, |
|
{ |
|
"epoch": 49.28, |
|
"learning_rate": 1.7679671457905544e-05, |
|
"loss": 0.0104, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"eval_accuracy": 0.823477493380406, |
|
"eval_f1": 0.682099596231494, |
|
"eval_loss": 1.4813882112503052, |
|
"eval_precision": 0.6585239085239085, |
|
"eval_recall": 0.707426018983808, |
|
"eval_runtime": 7.0699, |
|
"eval_samples_per_second": 157.287, |
|
"eval_steps_per_second": 9.901, |
|
"step": 24350 |
|
}, |
|
{ |
|
"epoch": 50.31, |
|
"learning_rate": 1.742299794661191e-05, |
|
"loss": 0.0119, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 51.0, |
|
"eval_accuracy": 0.8263638749075642, |
|
"eval_f1": 0.6831550802139038, |
|
"eval_loss": 1.4050037860870361, |
|
"eval_precision": 0.6554643406875321, |
|
"eval_recall": 0.7132886655499721, |
|
"eval_runtime": 6.9082, |
|
"eval_samples_per_second": 160.968, |
|
"eval_steps_per_second": 10.133, |
|
"step": 24837 |
|
}, |
|
{ |
|
"epoch": 51.33, |
|
"learning_rate": 1.7166324435318276e-05, |
|
"loss": 0.0078, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 52.0, |
|
"eval_accuracy": 0.8233582214164739, |
|
"eval_f1": 0.6825246654953372, |
|
"eval_loss": 1.4853544235229492, |
|
"eval_precision": 0.6615142782289757, |
|
"eval_recall": 0.7049134561697376, |
|
"eval_runtime": 6.9587, |
|
"eval_samples_per_second": 159.8, |
|
"eval_steps_per_second": 10.059, |
|
"step": 25324 |
|
}, |
|
{ |
|
"epoch": 52.36, |
|
"learning_rate": 1.6909650924024642e-05, |
|
"loss": 0.007, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 53.0, |
|
"eval_accuracy": 0.8203764223181699, |
|
"eval_f1": 0.6733681812089531, |
|
"eval_loss": 1.4941233396530151, |
|
"eval_precision": 0.6475895849445733, |
|
"eval_recall": 0.701284198771636, |
|
"eval_runtime": 6.8301, |
|
"eval_samples_per_second": 162.81, |
|
"eval_steps_per_second": 10.249, |
|
"step": 25811 |
|
}, |
|
{ |
|
"epoch": 53.39, |
|
"learning_rate": 1.6652977412731005e-05, |
|
"loss": 0.0079, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 54.0, |
|
"eval_accuracy": 0.8228095703823859, |
|
"eval_f1": 0.6796948199705528, |
|
"eval_loss": 1.4137930870056152, |
|
"eval_precision": 0.652867060941116, |
|
"eval_recall": 0.708821887213847, |
|
"eval_runtime": 7.1554, |
|
"eval_samples_per_second": 155.406, |
|
"eval_steps_per_second": 9.783, |
|
"step": 26298 |
|
}, |
|
{ |
|
"epoch": 54.41, |
|
"learning_rate": 1.639630390143737e-05, |
|
"loss": 0.0092, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 55.0, |
|
"eval_accuracy": 0.8217599770997829, |
|
"eval_f1": 0.6887671232876712, |
|
"eval_loss": 1.4301496744155884, |
|
"eval_precision": 0.6761699838622915, |
|
"eval_recall": 0.7018425460636516, |
|
"eval_runtime": 7.1182, |
|
"eval_samples_per_second": 156.219, |
|
"eval_steps_per_second": 9.834, |
|
"step": 26785 |
|
}, |
|
{ |
|
"epoch": 55.44, |
|
"learning_rate": 1.6139630390143737e-05, |
|
"loss": 0.0097, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 56.0, |
|
"eval_accuracy": 0.8181579637890317, |
|
"eval_f1": 0.6752263819435058, |
|
"eval_loss": 1.5275614261627197, |
|
"eval_precision": 0.654440660204349, |
|
"eval_recall": 0.6973757677275265, |
|
"eval_runtime": 7.0427, |
|
"eval_samples_per_second": 157.894, |
|
"eval_steps_per_second": 9.939, |
|
"step": 27272 |
|
}, |
|
{ |
|
"epoch": 56.47, |
|
"learning_rate": 1.5882956878850103e-05, |
|
"loss": 0.0076, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 57.0, |
|
"eval_accuracy": 0.8257913694806899, |
|
"eval_f1": 0.6765140324963074, |
|
"eval_loss": 1.430177927017212, |
|
"eval_precision": 0.6517464424320828, |
|
"eval_recall": 0.7032384142936907, |
|
"eval_runtime": 6.9201, |
|
"eval_samples_per_second": 160.691, |
|
"eval_steps_per_second": 10.115, |
|
"step": 27759 |
|
}, |
|
{ |
|
"epoch": 57.49, |
|
"learning_rate": 1.5626283367556466e-05, |
|
"loss": 0.0056, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 58.0, |
|
"eval_accuracy": 0.8264831468714964, |
|
"eval_f1": 0.6855901127257911, |
|
"eval_loss": 1.4996072053909302, |
|
"eval_precision": 0.6675482676540597, |
|
"eval_recall": 0.7046342825237297, |
|
"eval_runtime": 6.8256, |
|
"eval_samples_per_second": 162.916, |
|
"eval_steps_per_second": 10.256, |
|
"step": 28246 |
|
}, |
|
{ |
|
"epoch": 58.52, |
|
"learning_rate": 1.5369609856262832e-05, |
|
"loss": 0.0047, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 59.0, |
|
"eval_accuracy": 0.8240977075928533, |
|
"eval_f1": 0.6822860238353197, |
|
"eval_loss": 1.4308714866638184, |
|
"eval_precision": 0.6625460284061021, |
|
"eval_recall": 0.7032384142936907, |
|
"eval_runtime": 6.8106, |
|
"eval_samples_per_second": 163.274, |
|
"eval_steps_per_second": 10.278, |
|
"step": 28733 |
|
}, |
|
{ |
|
"epoch": 59.55, |
|
"learning_rate": 1.5112936344969198e-05, |
|
"loss": 0.0126, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"eval_accuracy": 0.817179933684788, |
|
"eval_f1": 0.671845700508974, |
|
"eval_loss": 1.490278720855713, |
|
"eval_precision": 0.6457260556127703, |
|
"eval_recall": 0.7001675041876047, |
|
"eval_runtime": 6.8728, |
|
"eval_samples_per_second": 161.798, |
|
"eval_steps_per_second": 10.185, |
|
"step": 29220 |
|
}, |
|
{ |
|
"epoch": 60.57, |
|
"learning_rate": 1.4856262833675564e-05, |
|
"loss": 0.0054, |
|
"step": 29500 |
|
}, |
|
{ |
|
"epoch": 61.0, |
|
"eval_accuracy": 0.8218315402781422, |
|
"eval_f1": 0.6701236537694455, |
|
"eval_loss": 1.4318019151687622, |
|
"eval_precision": 0.6397562833206397, |
|
"eval_recall": 0.7035175879396985, |
|
"eval_runtime": 6.8056, |
|
"eval_samples_per_second": 163.394, |
|
"eval_steps_per_second": 10.286, |
|
"step": 29707 |
|
}, |
|
{ |
|
"epoch": 61.6, |
|
"learning_rate": 1.459958932238193e-05, |
|
"loss": 0.0076, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 62.0, |
|
"eval_accuracy": 0.8196369361417906, |
|
"eval_f1": 0.6820163487738419, |
|
"eval_loss": 1.574474811553955, |
|
"eval_precision": 0.6660457690260777, |
|
"eval_recall": 0.6987716359575656, |
|
"eval_runtime": 6.995, |
|
"eval_samples_per_second": 158.97, |
|
"eval_steps_per_second": 10.007, |
|
"step": 30194 |
|
}, |
|
{ |
|
"epoch": 62.63, |
|
"learning_rate": 1.4342915811088295e-05, |
|
"loss": 0.0043, |
|
"step": 30500 |
|
}, |
|
{ |
|
"epoch": 63.0, |
|
"eval_accuracy": 0.82679325397772, |
|
"eval_f1": 0.6825053995680346, |
|
"eval_loss": 1.5101566314697266, |
|
"eval_precision": 0.6607422895974908, |
|
"eval_recall": 0.705750977107761, |
|
"eval_runtime": 6.9716, |
|
"eval_samples_per_second": 159.503, |
|
"eval_steps_per_second": 10.041, |
|
"step": 30681 |
|
}, |
|
{ |
|
"epoch": 63.66, |
|
"learning_rate": 1.4086242299794661e-05, |
|
"loss": 0.0046, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 64.0, |
|
"eval_accuracy": 0.8252427184466019, |
|
"eval_f1": 0.6798688882818902, |
|
"eval_loss": 1.5499790906906128, |
|
"eval_precision": 0.6655080213903743, |
|
"eval_recall": 0.6948632049134562, |
|
"eval_runtime": 6.9216, |
|
"eval_samples_per_second": 160.656, |
|
"eval_steps_per_second": 10.113, |
|
"step": 31168 |
|
}, |
|
{ |
|
"epoch": 64.68, |
|
"learning_rate": 1.3829568788501027e-05, |
|
"loss": 0.0042, |
|
"step": 31500 |
|
}, |
|
{ |
|
"epoch": 65.0, |
|
"eval_accuracy": 0.8273896137973807, |
|
"eval_f1": 0.6834157423493251, |
|
"eval_loss": 1.5357410907745361, |
|
"eval_precision": 0.6554729556523968, |
|
"eval_recall": 0.7138470128419877, |
|
"eval_runtime": 6.9877, |
|
"eval_samples_per_second": 159.137, |
|
"eval_steps_per_second": 10.018, |
|
"step": 31655 |
|
}, |
|
{ |
|
"epoch": 65.71, |
|
"learning_rate": 1.3572895277207393e-05, |
|
"loss": 0.0039, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 66.0, |
|
"eval_accuracy": 0.8219985210276473, |
|
"eval_f1": 0.6870022945066812, |
|
"eval_loss": 1.5469226837158203, |
|
"eval_precision": 0.665011758557617, |
|
"eval_recall": 0.7104969290898939, |
|
"eval_runtime": 6.9394, |
|
"eval_samples_per_second": 160.243, |
|
"eval_steps_per_second": 10.087, |
|
"step": 32142 |
|
}, |
|
{ |
|
"epoch": 66.74, |
|
"learning_rate": 1.331622176591376e-05, |
|
"loss": 0.004, |
|
"step": 32500 |
|
}, |
|
{ |
|
"epoch": 67.0, |
|
"eval_accuracy": 0.8289162949357124, |
|
"eval_f1": 0.6831220813875917, |
|
"eval_loss": 1.481360673904419, |
|
"eval_precision": 0.6542294914387937, |
|
"eval_recall": 0.7146845337800112, |
|
"eval_runtime": 6.9709, |
|
"eval_samples_per_second": 159.521, |
|
"eval_steps_per_second": 10.042, |
|
"step": 32629 |
|
}, |
|
{ |
|
"epoch": 67.76, |
|
"learning_rate": 1.3059548254620124e-05, |
|
"loss": 0.0031, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 68.0, |
|
"eval_accuracy": 0.825028028911524, |
|
"eval_f1": 0.68095365657648, |
|
"eval_loss": 1.5209916830062866, |
|
"eval_precision": 0.6544799176107106, |
|
"eval_recall": 0.7096594081518705, |
|
"eval_runtime": 7.0091, |
|
"eval_samples_per_second": 158.65, |
|
"eval_steps_per_second": 9.987, |
|
"step": 33116 |
|
}, |
|
{ |
|
"epoch": 68.79, |
|
"learning_rate": 1.280287474332649e-05, |
|
"loss": 0.0047, |
|
"step": 33500 |
|
}, |
|
{ |
|
"epoch": 69.0, |
|
"eval_accuracy": 0.8271510698695165, |
|
"eval_f1": 0.6805257510729614, |
|
"eval_loss": 1.5326005220413208, |
|
"eval_precision": 0.6548786783686112, |
|
"eval_recall": 0.7082635399218313, |
|
"eval_runtime": 6.9749, |
|
"eval_samples_per_second": 159.429, |
|
"eval_steps_per_second": 10.036, |
|
"step": 33603 |
|
}, |
|
{ |
|
"epoch": 69.82, |
|
"learning_rate": 1.2546201232032854e-05, |
|
"loss": 0.0029, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 70.0, |
|
"eval_accuracy": 0.8225710264545216, |
|
"eval_f1": 0.6829466829466829, |
|
"eval_loss": 1.6056736707687378, |
|
"eval_precision": 0.6642913697545526, |
|
"eval_recall": 0.7026800670016751, |
|
"eval_runtime": 7.4038, |
|
"eval_samples_per_second": 150.193, |
|
"eval_steps_per_second": 9.455, |
|
"step": 34090 |
|
}, |
|
{ |
|
"epoch": 70.84, |
|
"learning_rate": 1.228952772073922e-05, |
|
"loss": 0.0027, |
|
"step": 34500 |
|
}, |
|
{ |
|
"epoch": 71.0, |
|
"eval_accuracy": 0.8255289711600391, |
|
"eval_f1": 0.6856989679667604, |
|
"eval_loss": 1.5919586420059204, |
|
"eval_precision": 0.6594483114204692, |
|
"eval_recall": 0.7141261864879955, |
|
"eval_runtime": 6.9324, |
|
"eval_samples_per_second": 160.406, |
|
"eval_steps_per_second": 10.098, |
|
"step": 34577 |
|
}, |
|
{ |
|
"epoch": 71.87, |
|
"learning_rate": 1.2032854209445585e-05, |
|
"loss": 0.0016, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 72.0, |
|
"eval_accuracy": 0.8255051167672527, |
|
"eval_f1": 0.6841604350781781, |
|
"eval_loss": 1.6220448017120361, |
|
"eval_precision": 0.6668433607209118, |
|
"eval_recall": 0.7024008933556672, |
|
"eval_runtime": 6.9179, |
|
"eval_samples_per_second": 160.743, |
|
"eval_steps_per_second": 10.119, |
|
"step": 35064 |
|
}, |
|
{ |
|
"epoch": 72.9, |
|
"learning_rate": 1.1776180698151951e-05, |
|
"loss": 0.0025, |
|
"step": 35500 |
|
}, |
|
{ |
|
"epoch": 73.0, |
|
"eval_accuracy": 0.8238591636649889, |
|
"eval_f1": 0.6912936006591596, |
|
"eval_loss": 1.626072645187378, |
|
"eval_precision": 0.6802702702702703, |
|
"eval_recall": 0.7026800670016751, |
|
"eval_runtime": 7.3201, |
|
"eval_samples_per_second": 151.911, |
|
"eval_steps_per_second": 9.563, |
|
"step": 35551 |
|
}, |
|
{ |
|
"epoch": 73.92, |
|
"learning_rate": 1.1519507186858315e-05, |
|
"loss": 0.0037, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 74.0, |
|
"eval_accuracy": 0.8206865294243935, |
|
"eval_f1": 0.6906455142231948, |
|
"eval_loss": 1.6439733505249023, |
|
"eval_precision": 0.6769436997319035, |
|
"eval_recall": 0.7049134561697376, |
|
"eval_runtime": 6.8715, |
|
"eval_samples_per_second": 161.827, |
|
"eval_steps_per_second": 10.187, |
|
"step": 36038 |
|
}, |
|
{ |
|
"epoch": 74.95, |
|
"learning_rate": 1.1262833675564683e-05, |
|
"loss": 0.003, |
|
"step": 36500 |
|
}, |
|
{ |
|
"epoch": 75.0, |
|
"eval_accuracy": 0.8263400205147778, |
|
"eval_f1": 0.6881282260255366, |
|
"eval_loss": 1.6027307510375977, |
|
"eval_precision": 0.6701058201058201, |
|
"eval_recall": 0.7071468453378001, |
|
"eval_runtime": 7.2528, |
|
"eval_samples_per_second": 153.321, |
|
"eval_steps_per_second": 9.651, |
|
"step": 36525 |
|
}, |
|
{ |
|
"epoch": 75.98, |
|
"learning_rate": 1.1006160164271048e-05, |
|
"loss": 0.0031, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 76.0, |
|
"eval_accuracy": 0.8261730397652728, |
|
"eval_f1": 0.6897667520560874, |
|
"eval_loss": 1.6012972593307495, |
|
"eval_precision": 0.6670143415906128, |
|
"eval_recall": 0.7141261864879955, |
|
"eval_runtime": 6.9267, |
|
"eval_samples_per_second": 160.539, |
|
"eval_steps_per_second": 10.106, |
|
"step": 37012 |
|
}, |
|
{ |
|
"epoch": 77.0, |
|
"eval_accuracy": 0.8184919252880418, |
|
"eval_f1": 0.6771591059383678, |
|
"eval_loss": 1.6714273691177368, |
|
"eval_precision": 0.6433777330987686, |
|
"eval_recall": 0.7146845337800112, |
|
"eval_runtime": 7.0081, |
|
"eval_samples_per_second": 158.674, |
|
"eval_steps_per_second": 9.988, |
|
"step": 37499 |
|
}, |
|
{ |
|
"epoch": 77.0, |
|
"learning_rate": 1.0749486652977414e-05, |
|
"loss": 0.002, |
|
"step": 37500 |
|
}, |
|
{ |
|
"epoch": 78.0, |
|
"eval_accuracy": 0.8266501276210014, |
|
"eval_f1": 0.6862638851259821, |
|
"eval_loss": 1.6293165683746338, |
|
"eval_precision": 0.666578947368421, |
|
"eval_recall": 0.7071468453378001, |
|
"eval_runtime": 6.9855, |
|
"eval_samples_per_second": 159.186, |
|
"eval_steps_per_second": 10.021, |
|
"step": 37986 |
|
}, |
|
{ |
|
"epoch": 78.03, |
|
"learning_rate": 1.0492813141683778e-05, |
|
"loss": 0.0024, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 79.0, |
|
"eval_accuracy": 0.8221893561699387, |
|
"eval_f1": 0.6826057756883814, |
|
"eval_loss": 1.679621934890747, |
|
"eval_precision": 0.6577789282940719, |
|
"eval_recall": 0.7093802345058626, |
|
"eval_runtime": 7.0739, |
|
"eval_samples_per_second": 157.199, |
|
"eval_steps_per_second": 9.896, |
|
"step": 38473 |
|
}, |
|
{ |
|
"epoch": 79.06, |
|
"learning_rate": 1.0236139630390144e-05, |
|
"loss": 0.003, |
|
"step": 38500 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"eval_accuracy": 0.828343789508838, |
|
"eval_f1": 0.6891781936533767, |
|
"eval_loss": 1.6462854146957397, |
|
"eval_precision": 0.6700949367088608, |
|
"eval_recall": 0.7093802345058626, |
|
"eval_runtime": 6.9376, |
|
"eval_samples_per_second": 160.285, |
|
"eval_steps_per_second": 10.09, |
|
"step": 38960 |
|
}, |
|
{ |
|
"epoch": 80.08, |
|
"learning_rate": 9.979466119096509e-06, |
|
"loss": 0.0015, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 81.0, |
|
"eval_accuracy": 0.826626273228215, |
|
"eval_f1": 0.6915938864628821, |
|
"eval_loss": 1.6634407043457031, |
|
"eval_precision": 0.6764548852108916, |
|
"eval_recall": 0.707426018983808, |
|
"eval_runtime": 6.9101, |
|
"eval_samples_per_second": 160.923, |
|
"eval_steps_per_second": 10.13, |
|
"step": 39447 |
|
}, |
|
{ |
|
"epoch": 81.11, |
|
"learning_rate": 9.722792607802875e-06, |
|
"loss": 0.003, |
|
"step": 39500 |
|
}, |
|
{ |
|
"epoch": 82.0, |
|
"eval_accuracy": 0.8255051167672527, |
|
"eval_f1": 0.6838971583220568, |
|
"eval_loss": 1.6947256326675415, |
|
"eval_precision": 0.6636029411764706, |
|
"eval_recall": 0.7054718034617532, |
|
"eval_runtime": 6.9976, |
|
"eval_samples_per_second": 158.913, |
|
"eval_steps_per_second": 10.003, |
|
"step": 39934 |
|
}, |
|
{ |
|
"epoch": 82.14, |
|
"learning_rate": 9.46611909650924e-06, |
|
"loss": 0.0036, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 83.0, |
|
"eval_accuracy": 0.8227141528112402, |
|
"eval_f1": 0.6791335934346832, |
|
"eval_loss": 1.651548981666565, |
|
"eval_precision": 0.6554141781355493, |
|
"eval_recall": 0.7046342825237297, |
|
"eval_runtime": 7.0674, |
|
"eval_samples_per_second": 157.343, |
|
"eval_steps_per_second": 9.905, |
|
"step": 40421 |
|
}, |
|
{ |
|
"epoch": 83.16, |
|
"learning_rate": 9.209445585215607e-06, |
|
"loss": 0.0018, |
|
"step": 40500 |
|
}, |
|
{ |
|
"epoch": 84.0, |
|
"eval_accuracy": 0.8266024188354285, |
|
"eval_f1": 0.6863617968433833, |
|
"eval_loss": 1.6855460405349731, |
|
"eval_precision": 0.6640563821456539, |
|
"eval_recall": 0.7102177554438861, |
|
"eval_runtime": 7.0529, |
|
"eval_samples_per_second": 157.667, |
|
"eval_steps_per_second": 9.925, |
|
"step": 40908 |
|
}, |
|
{ |
|
"epoch": 84.19, |
|
"learning_rate": 8.952772073921972e-06, |
|
"loss": 0.0012, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 85.0, |
|
"eval_accuracy": 0.8240738532000668, |
|
"eval_f1": 0.6814775160599572, |
|
"eval_loss": 1.6966240406036377, |
|
"eval_precision": 0.6544987146529563, |
|
"eval_recall": 0.7107761027359017, |
|
"eval_runtime": 6.8863, |
|
"eval_samples_per_second": 161.48, |
|
"eval_steps_per_second": 10.165, |
|
"step": 41395 |
|
}, |
|
{ |
|
"epoch": 85.22, |
|
"learning_rate": 8.696098562628338e-06, |
|
"loss": 0.0019, |
|
"step": 41500 |
|
}, |
|
{ |
|
"epoch": 86.0, |
|
"eval_accuracy": 0.8255051167672527, |
|
"eval_f1": 0.6833355858899851, |
|
"eval_loss": 1.656359314918518, |
|
"eval_precision": 0.6623002357872675, |
|
"eval_recall": 0.705750977107761, |
|
"eval_runtime": 6.9513, |
|
"eval_samples_per_second": 159.971, |
|
"eval_steps_per_second": 10.07, |
|
"step": 41882 |
|
}, |
|
{ |
|
"epoch": 86.24, |
|
"learning_rate": 8.439425051334702e-06, |
|
"loss": 0.0015, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 87.0, |
|
"eval_accuracy": 0.8239307268433482, |
|
"eval_f1": 0.6778030201790726, |
|
"eval_loss": 1.6362555027008057, |
|
"eval_precision": 0.6500897205844656, |
|
"eval_recall": 0.7079843662758235, |
|
"eval_runtime": 7.2734, |
|
"eval_samples_per_second": 152.885, |
|
"eval_steps_per_second": 9.624, |
|
"step": 42369 |
|
}, |
|
{ |
|
"epoch": 87.27, |
|
"learning_rate": 8.182751540041068e-06, |
|
"loss": 0.0022, |
|
"step": 42500 |
|
}, |
|
{ |
|
"epoch": 88.0, |
|
"eval_accuracy": 0.8260299134085541, |
|
"eval_f1": 0.6931833767658757, |
|
"eval_loss": 1.6878582239151, |
|
"eval_precision": 0.6813157185225128, |
|
"eval_recall": 0.7054718034617532, |
|
"eval_runtime": 7.1154, |
|
"eval_samples_per_second": 156.28, |
|
"eval_steps_per_second": 9.838, |
|
"step": 42856 |
|
}, |
|
{ |
|
"epoch": 88.3, |
|
"learning_rate": 7.926078028747433e-06, |
|
"loss": 0.0011, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 89.0, |
|
"eval_accuracy": 0.829441091577014, |
|
"eval_f1": 0.6879049676025918, |
|
"eval_loss": 1.686987042427063, |
|
"eval_precision": 0.6659696811291166, |
|
"eval_recall": 0.7113344500279174, |
|
"eval_runtime": 6.9712, |
|
"eval_samples_per_second": 159.514, |
|
"eval_steps_per_second": 10.041, |
|
"step": 43343 |
|
}, |
|
{ |
|
"epoch": 89.32, |
|
"learning_rate": 7.669404517453799e-06, |
|
"loss": 0.0017, |
|
"step": 43500 |
|
}, |
|
{ |
|
"epoch": 90.0, |
|
"eval_accuracy": 0.8275804489396722, |
|
"eval_f1": 0.6870062653228004, |
|
"eval_loss": 1.7017887830734253, |
|
"eval_precision": 0.6707446808510639, |
|
"eval_recall": 0.7040759352317141, |
|
"eval_runtime": 6.9862, |
|
"eval_samples_per_second": 159.17, |
|
"eval_steps_per_second": 10.02, |
|
"step": 43830 |
|
}, |
|
{ |
|
"epoch": 90.35, |
|
"learning_rate": 7.412731006160165e-06, |
|
"loss": 0.0016, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 91.0, |
|
"eval_accuracy": 0.8280813911881874, |
|
"eval_f1": 0.6910074374577416, |
|
"eval_loss": 1.6699299812316895, |
|
"eval_precision": 0.6700760555992656, |
|
"eval_recall": 0.7132886655499721, |
|
"eval_runtime": 6.9237, |
|
"eval_samples_per_second": 160.607, |
|
"eval_steps_per_second": 10.11, |
|
"step": 44317 |
|
}, |
|
{ |
|
"epoch": 91.38, |
|
"learning_rate": 7.15605749486653e-06, |
|
"loss": 0.0015, |
|
"step": 44500 |
|
}, |
|
{ |
|
"epoch": 92.0, |
|
"eval_accuracy": 0.8320412203907349, |
|
"eval_f1": 0.694421768707483, |
|
"eval_loss": 1.6736540794372559, |
|
"eval_precision": 0.6772823779193206, |
|
"eval_recall": 0.7124511446119486, |
|
"eval_runtime": 7.0271, |
|
"eval_samples_per_second": 158.244, |
|
"eval_steps_per_second": 9.961, |
|
"step": 44804 |
|
}, |
|
{ |
|
"epoch": 92.4, |
|
"learning_rate": 6.899383983572895e-06, |
|
"loss": 0.0017, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 93.0, |
|
"eval_accuracy": 0.8280336824026144, |
|
"eval_f1": 0.6972650961278094, |
|
"eval_loss": 1.727142572402954, |
|
"eval_precision": 0.676919032597266, |
|
"eval_recall": 0.7188721384701284, |
|
"eval_runtime": 7.0065, |
|
"eval_samples_per_second": 158.709, |
|
"eval_steps_per_second": 9.991, |
|
"step": 45291 |
|
}, |
|
{ |
|
"epoch": 93.43, |
|
"learning_rate": 6.642710472279261e-06, |
|
"loss": 0.0005, |
|
"step": 45500 |
|
}, |
|
{ |
|
"epoch": 94.0, |
|
"eval_accuracy": 0.8260537678013407, |
|
"eval_f1": 0.6882329154872624, |
|
"eval_loss": 1.7245275974273682, |
|
"eval_precision": 0.6653635652853792, |
|
"eval_recall": 0.7127303182579564, |
|
"eval_runtime": 6.9585, |
|
"eval_samples_per_second": 159.804, |
|
"eval_steps_per_second": 10.06, |
|
"step": 45778 |
|
}, |
|
{ |
|
"epoch": 94.46, |
|
"learning_rate": 6.386036960985627e-06, |
|
"loss": 0.0013, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 95.0, |
|
"eval_accuracy": 0.8235013477731924, |
|
"eval_f1": 0.6909190371991247, |
|
"eval_loss": 1.8143095970153809, |
|
"eval_precision": 0.6772117962466488, |
|
"eval_recall": 0.7051926298157454, |
|
"eval_runtime": 6.8559, |
|
"eval_samples_per_second": 162.196, |
|
"eval_steps_per_second": 10.21, |
|
"step": 46265 |
|
}, |
|
{ |
|
"epoch": 95.48, |
|
"learning_rate": 6.129363449691992e-06, |
|
"loss": 0.0012, |
|
"step": 46500 |
|
}, |
|
{ |
|
"epoch": 96.0, |
|
"eval_accuracy": 0.8262207485508456, |
|
"eval_f1": 0.6908744730042159, |
|
"eval_loss": 1.7299076318740845, |
|
"eval_precision": 0.673561389551843, |
|
"eval_recall": 0.7091010608598548, |
|
"eval_runtime": 7.0371, |
|
"eval_samples_per_second": 158.02, |
|
"eval_steps_per_second": 9.947, |
|
"step": 46752 |
|
}, |
|
{ |
|
"epoch": 96.51, |
|
"learning_rate": 5.872689938398357e-06, |
|
"loss": 0.002, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 97.0, |
|
"eval_accuracy": 0.8272703418334486, |
|
"eval_f1": 0.6936667572709975, |
|
"eval_loss": 1.7251330614089966, |
|
"eval_precision": 0.6758474576271186, |
|
"eval_recall": 0.7124511446119486, |
|
"eval_runtime": 6.9526, |
|
"eval_samples_per_second": 159.94, |
|
"eval_steps_per_second": 10.068, |
|
"step": 47239 |
|
}, |
|
{ |
|
"epoch": 97.54, |
|
"learning_rate": 5.6160164271047226e-06, |
|
"loss": 0.0009, |
|
"step": 47500 |
|
}, |
|
{ |
|
"epoch": 98.0, |
|
"eval_accuracy": 0.8262207485508456, |
|
"eval_f1": 0.6860418610851887, |
|
"eval_loss": 1.718263864517212, |
|
"eval_precision": 0.6565450369992345, |
|
"eval_recall": 0.7183137911781128, |
|
"eval_runtime": 6.9474, |
|
"eval_samples_per_second": 160.059, |
|
"eval_steps_per_second": 10.076, |
|
"step": 47726 |
|
}, |
|
{ |
|
"epoch": 98.56, |
|
"learning_rate": 5.359342915811089e-06, |
|
"loss": 0.0009, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 99.0, |
|
"eval_accuracy": 0.8278905560458959, |
|
"eval_f1": 0.6933224534203727, |
|
"eval_loss": 1.7801190614700317, |
|
"eval_precision": 0.6759480243967118, |
|
"eval_recall": 0.7116136236739252, |
|
"eval_runtime": 6.9784, |
|
"eval_samples_per_second": 159.35, |
|
"eval_steps_per_second": 10.031, |
|
"step": 48213 |
|
}, |
|
{ |
|
"epoch": 99.59, |
|
"learning_rate": 5.102669404517454e-06, |
|
"loss": 0.0008, |
|
"step": 48500 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"eval_accuracy": 0.8263400205147778, |
|
"eval_f1": 0.6959136258029246, |
|
"eval_loss": 1.7749357223510742, |
|
"eval_precision": 0.6816599732262383, |
|
"eval_recall": 0.7107761027359017, |
|
"eval_runtime": 6.9549, |
|
"eval_samples_per_second": 159.888, |
|
"eval_steps_per_second": 10.065, |
|
"step": 48700 |
|
}, |
|
{ |
|
"epoch": 100.62, |
|
"learning_rate": 4.845995893223819e-06, |
|
"loss": 0.0006, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 101.0, |
|
"eval_accuracy": 0.8272226330478758, |
|
"eval_f1": 0.6917334057282477, |
|
"eval_loss": 1.7413458824157715, |
|
"eval_precision": 0.6731836195508587, |
|
"eval_recall": 0.7113344500279174, |
|
"eval_runtime": 6.9416, |
|
"eval_samples_per_second": 160.194, |
|
"eval_steps_per_second": 10.084, |
|
"step": 49187 |
|
}, |
|
{ |
|
"epoch": 101.64, |
|
"learning_rate": 4.5893223819301845e-06, |
|
"loss": 0.0005, |
|
"step": 49500 |
|
}, |
|
{ |
|
"epoch": 102.0, |
|
"eval_accuracy": 0.826960234727225, |
|
"eval_f1": 0.6887363746467502, |
|
"eval_loss": 1.7939246892929077, |
|
"eval_precision": 0.6648480124707716, |
|
"eval_recall": 0.7144053601340034, |
|
"eval_runtime": 7.0029, |
|
"eval_samples_per_second": 158.792, |
|
"eval_steps_per_second": 9.996, |
|
"step": 49674 |
|
}, |
|
{ |
|
"epoch": 102.67, |
|
"learning_rate": 4.332648870636551e-06, |
|
"loss": 0.0008, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 103.0, |
|
"eval_accuracy": 0.8237160373082704, |
|
"eval_f1": 0.6846774193548387, |
|
"eval_loss": 1.7955106496810913, |
|
"eval_precision": 0.6601866251944012, |
|
"eval_recall": 0.7110552763819096, |
|
"eval_runtime": 6.8701, |
|
"eval_samples_per_second": 161.86, |
|
"eval_steps_per_second": 10.189, |
|
"step": 50161 |
|
}, |
|
{ |
|
"epoch": 103.7, |
|
"learning_rate": 4.075975359342916e-06, |
|
"loss": 0.0007, |
|
"step": 50500 |
|
}, |
|
{ |
|
"epoch": 104.0, |
|
"eval_accuracy": 0.826626273228215, |
|
"eval_f1": 0.6900837611456363, |
|
"eval_loss": 1.78438401222229, |
|
"eval_precision": 0.668586387434555, |
|
"eval_recall": 0.7130094919039642, |
|
"eval_runtime": 7.0026, |
|
"eval_samples_per_second": 158.798, |
|
"eval_steps_per_second": 9.996, |
|
"step": 50648 |
|
}, |
|
{ |
|
"epoch": 104.72, |
|
"learning_rate": 3.819301848049281e-06, |
|
"loss": 0.0005, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 105.0, |
|
"eval_accuracy": 0.8279382648314687, |
|
"eval_f1": 0.6963993453355155, |
|
"eval_loss": 1.798330307006836, |
|
"eval_precision": 0.6808, |
|
"eval_recall": 0.7127303182579564, |
|
"eval_runtime": 6.8685, |
|
"eval_samples_per_second": 161.899, |
|
"eval_steps_per_second": 10.191, |
|
"step": 51135 |
|
}, |
|
{ |
|
"epoch": 105.75, |
|
"learning_rate": 3.5626283367556473e-06, |
|
"loss": 0.0004, |
|
"step": 51500 |
|
}, |
|
{ |
|
"epoch": 106.0, |
|
"eval_accuracy": 0.8256243887311848, |
|
"eval_f1": 0.696007630467366, |
|
"eval_loss": 1.7945122718811035, |
|
"eval_precision": 0.6797977109395794, |
|
"eval_recall": 0.7130094919039642, |
|
"eval_runtime": 6.9592, |
|
"eval_samples_per_second": 159.789, |
|
"eval_steps_per_second": 10.059, |
|
"step": 51622 |
|
}, |
|
{ |
|
"epoch": 106.78, |
|
"learning_rate": 3.3059548254620125e-06, |
|
"loss": 0.0005, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 107.0, |
|
"eval_accuracy": 0.8296796355048782, |
|
"eval_f1": 0.7018599562363238, |
|
"eval_loss": 1.8209294080734253, |
|
"eval_precision": 0.6879356568364611, |
|
"eval_recall": 0.7163595756560581, |
|
"eval_runtime": 7.0252, |
|
"eval_samples_per_second": 158.287, |
|
"eval_steps_per_second": 9.964, |
|
"step": 52109 |
|
}, |
|
{ |
|
"epoch": 107.8, |
|
"learning_rate": 3.049281314168378e-06, |
|
"loss": 0.0004, |
|
"step": 52500 |
|
}, |
|
{ |
|
"epoch": 108.0, |
|
"eval_accuracy": 0.8281052455809738, |
|
"eval_f1": 0.6960098724804608, |
|
"eval_loss": 1.8149752616882324, |
|
"eval_precision": 0.6839126919967664, |
|
"eval_recall": 0.7085427135678392, |
|
"eval_runtime": 7.0444, |
|
"eval_samples_per_second": 157.855, |
|
"eval_steps_per_second": 9.937, |
|
"step": 52596 |
|
}, |
|
{ |
|
"epoch": 108.83, |
|
"learning_rate": 2.7926078028747435e-06, |
|
"loss": 0.0006, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 109.0, |
|
"eval_accuracy": 0.8287016054006345, |
|
"eval_f1": 0.6967024019541321, |
|
"eval_loss": 1.7784167528152466, |
|
"eval_precision": 0.6778452601003433, |
|
"eval_recall": 0.7166387493020658, |
|
"eval_runtime": 6.8299, |
|
"eval_samples_per_second": 162.815, |
|
"eval_steps_per_second": 10.249, |
|
"step": 53083 |
|
}, |
|
{ |
|
"epoch": 109.86, |
|
"learning_rate": 2.5359342915811088e-06, |
|
"loss": 0.0009, |
|
"step": 53500 |
|
}, |
|
{ |
|
"epoch": 110.0, |
|
"eval_accuracy": 0.8292741108275089, |
|
"eval_f1": 0.6964527484430002, |
|
"eval_loss": 1.7941442728042603, |
|
"eval_precision": 0.676130389064143, |
|
"eval_recall": 0.718034617532105, |
|
"eval_runtime": 7.0109, |
|
"eval_samples_per_second": 158.61, |
|
"eval_steps_per_second": 9.984, |
|
"step": 53570 |
|
}, |
|
{ |
|
"epoch": 110.88, |
|
"learning_rate": 2.2792607802874745e-06, |
|
"loss": 0.0006, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 111.0, |
|
"eval_accuracy": 0.828009828009828, |
|
"eval_f1": 0.6974040021633315, |
|
"eval_loss": 1.807924509048462, |
|
"eval_precision": 0.6761929732564237, |
|
"eval_recall": 0.7199888330541597, |
|
"eval_runtime": 6.9069, |
|
"eval_samples_per_second": 160.999, |
|
"eval_steps_per_second": 10.135, |
|
"step": 54057 |
|
}, |
|
{ |
|
"epoch": 111.91, |
|
"learning_rate": 2.0225872689938397e-06, |
|
"loss": 0.0006, |
|
"step": 54500 |
|
}, |
|
{ |
|
"epoch": 112.0, |
|
"eval_accuracy": 0.8276520121180315, |
|
"eval_f1": 0.6952871072589383, |
|
"eval_loss": 1.796797513961792, |
|
"eval_precision": 0.6751709626512362, |
|
"eval_recall": 0.7166387493020658, |
|
"eval_runtime": 6.9819, |
|
"eval_samples_per_second": 159.269, |
|
"eval_steps_per_second": 10.026, |
|
"step": 54544 |
|
}, |
|
{ |
|
"epoch": 112.94, |
|
"learning_rate": 1.7659137577002054e-06, |
|
"loss": 0.0003, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 113.0, |
|
"eval_accuracy": 0.8284630614727702, |
|
"eval_f1": 0.6953812813219559, |
|
"eval_loss": 1.7971785068511963, |
|
"eval_precision": 0.6753485924756643, |
|
"eval_recall": 0.7166387493020658, |
|
"eval_runtime": 7.1267, |
|
"eval_samples_per_second": 156.032, |
|
"eval_steps_per_second": 9.822, |
|
"step": 55031 |
|
}, |
|
{ |
|
"epoch": 113.96, |
|
"learning_rate": 1.509240246406571e-06, |
|
"loss": 0.0003, |
|
"step": 55500 |
|
}, |
|
{ |
|
"epoch": 114.0, |
|
"eval_accuracy": 0.8297989074688104, |
|
"eval_f1": 0.6962059620596205, |
|
"eval_loss": 1.7985066175460815, |
|
"eval_precision": 0.6764086361242759, |
|
"eval_recall": 0.7171970965940815, |
|
"eval_runtime": 7.0596, |
|
"eval_samples_per_second": 157.517, |
|
"eval_steps_per_second": 9.916, |
|
"step": 55518 |
|
}, |
|
{ |
|
"epoch": 114.99, |
|
"learning_rate": 1.2525667351129362e-06, |
|
"loss": 0.0006, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 115.0, |
|
"eval_accuracy": 0.8286777510078481, |
|
"eval_f1": 0.695923066504131, |
|
"eval_loss": 1.8047789335250854, |
|
"eval_precision": 0.6758747697974218, |
|
"eval_recall": 0.7171970965940815, |
|
"eval_runtime": 6.9955, |
|
"eval_samples_per_second": 158.959, |
|
"eval_steps_per_second": 10.006, |
|
"step": 56005 |
|
}, |
|
{ |
|
"epoch": 116.0, |
|
"eval_accuracy": 0.8298466162543833, |
|
"eval_f1": 0.6949681269496812, |
|
"eval_loss": 1.7985312938690186, |
|
"eval_precision": 0.6758111316275389, |
|
"eval_recall": 0.7152428810720268, |
|
"eval_runtime": 7.0552, |
|
"eval_samples_per_second": 157.615, |
|
"eval_steps_per_second": 9.922, |
|
"step": 56492 |
|
}, |
|
{ |
|
"epoch": 116.02, |
|
"learning_rate": 9.958932238193019e-07, |
|
"loss": 0.0004, |
|
"step": 56500 |
|
}, |
|
{ |
|
"epoch": 117.0, |
|
"eval_accuracy": 0.8314448605710741, |
|
"eval_f1": 0.6995637949836424, |
|
"eval_loss": 1.788254976272583, |
|
"eval_precision": 0.6835375599360682, |
|
"eval_recall": 0.7163595756560581, |
|
"eval_runtime": 7.0043, |
|
"eval_samples_per_second": 158.759, |
|
"eval_steps_per_second": 9.994, |
|
"step": 56979 |
|
}, |
|
{ |
|
"epoch": 117.04, |
|
"learning_rate": 7.392197125256674e-07, |
|
"loss": 0.0009, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 118.0, |
|
"eval_accuracy": 0.8311347534648506, |
|
"eval_f1": 0.7000544365813827, |
|
"eval_loss": 1.785180687904358, |
|
"eval_precision": 0.6829527349973447, |
|
"eval_recall": 0.718034617532105, |
|
"eval_runtime": 6.9229, |
|
"eval_samples_per_second": 160.627, |
|
"eval_steps_per_second": 10.111, |
|
"step": 57466 |
|
}, |
|
{ |
|
"epoch": 118.07, |
|
"learning_rate": 4.82546201232033e-07, |
|
"loss": 0.0002, |
|
"step": 57500 |
|
}, |
|
{ |
|
"epoch": 119.0, |
|
"eval_accuracy": 0.8308962095369863, |
|
"eval_f1": 0.7012951601908658, |
|
"eval_loss": 1.7869131565093994, |
|
"eval_precision": 0.685318411937117, |
|
"eval_recall": 0.718034617532105, |
|
"eval_runtime": 7.1691, |
|
"eval_samples_per_second": 155.111, |
|
"eval_steps_per_second": 9.764, |
|
"step": 57953 |
|
}, |
|
{ |
|
"epoch": 119.1, |
|
"learning_rate": 2.2587268993839835e-07, |
|
"loss": 0.0003, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 120.0, |
|
"eval_accuracy": 0.8312063166432099, |
|
"eval_f1": 0.7009129309170186, |
|
"eval_loss": 1.7865298986434937, |
|
"eval_precision": 0.6845887676337503, |
|
"eval_recall": 0.718034617532105, |
|
"eval_runtime": 7.0357, |
|
"eval_samples_per_second": 158.051, |
|
"eval_steps_per_second": 9.949, |
|
"step": 58440 |
|
}, |
|
{ |
|
"epoch": 120.0, |
|
"step": 58440, |
|
"total_flos": 4.338269813081088e+17, |
|
"train_loss": 0.033376370980433, |
|
"train_runtime": 20083.166, |
|
"train_samples_per_second": 46.517, |
|
"train_steps_per_second": 2.91 |
|
} |
|
], |
|
"max_steps": 58440, |
|
"num_train_epochs": 120, |
|
"total_flos": 4.338269813081088e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|