|
{ |
|
"best_metric": 1.5666028261184692, |
|
"best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/google/flan_t5_small_scotus/checkpoint-450", |
|
"epoch": 3.0, |
|
"eval_steps": 50, |
|
"global_step": 471, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 3.344521999359131, |
|
"learning_rate": 0.0004893842887473461, |
|
"loss": 2.3137, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 1.5987565517425537, |
|
"learning_rate": 0.00047876857749469217, |
|
"loss": 2.0989, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"grad_norm": 2.519667625427246, |
|
"learning_rate": 0.0004681528662420382, |
|
"loss": 2.1526, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"grad_norm": 1.9053800106048584, |
|
"learning_rate": 0.00045753715498938433, |
|
"loss": 2.1042, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 2.938572406768799, |
|
"learning_rate": 0.0004469214437367304, |
|
"loss": 2.0567, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"eval_accuracy": 0.4042857142857143, |
|
"eval_f1_macro": 0.12210295202531032, |
|
"eval_f1_micro": 0.4042857142857143, |
|
"eval_loss": 1.961769700050354, |
|
"eval_runtime": 1.4405, |
|
"eval_samples_per_second": 971.865, |
|
"eval_steps_per_second": 30.544, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"grad_norm": 2.4352169036865234, |
|
"learning_rate": 0.00043630573248407644, |
|
"loss": 1.8701, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"grad_norm": 3.570573568344116, |
|
"learning_rate": 0.00042569002123142254, |
|
"loss": 1.8183, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 2.2673840522766113, |
|
"learning_rate": 0.0004150743099787686, |
|
"loss": 1.7879, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"grad_norm": 2.69811749458313, |
|
"learning_rate": 0.0004044585987261147, |
|
"loss": 1.73, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 2.467646837234497, |
|
"learning_rate": 0.00039384288747346076, |
|
"loss": 1.6729, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"eval_accuracy": 0.4542857142857143, |
|
"eval_f1_macro": 0.16563356681008953, |
|
"eval_f1_micro": 0.4542857142857143, |
|
"eval_loss": 1.7861312627792358, |
|
"eval_runtime": 1.441, |
|
"eval_samples_per_second": 971.567, |
|
"eval_steps_per_second": 30.535, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"grad_norm": 3.9276022911071777, |
|
"learning_rate": 0.0003832271762208068, |
|
"loss": 1.691, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"grad_norm": 3.583529472351074, |
|
"learning_rate": 0.00037261146496815286, |
|
"loss": 1.7405, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"grad_norm": 3.401313304901123, |
|
"learning_rate": 0.0003619957537154989, |
|
"loss": 1.6642, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 3.179844856262207, |
|
"learning_rate": 0.000351380042462845, |
|
"loss": 1.5905, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 2.6475136280059814, |
|
"learning_rate": 0.0003407643312101911, |
|
"loss": 1.7754, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_accuracy": 0.4664285714285714, |
|
"eval_f1_macro": 0.229693430245784, |
|
"eval_f1_micro": 0.4664285714285714, |
|
"eval_loss": 1.7046456336975098, |
|
"eval_runtime": 1.3928, |
|
"eval_samples_per_second": 1005.172, |
|
"eval_steps_per_second": 31.591, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"grad_norm": 2.5741515159606934, |
|
"learning_rate": 0.00033014861995753713, |
|
"loss": 1.6254, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"grad_norm": 3.005293369293213, |
|
"learning_rate": 0.00031953290870488323, |
|
"loss": 1.5145, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"grad_norm": 3.4725496768951416, |
|
"learning_rate": 0.0003089171974522293, |
|
"loss": 1.5766, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"grad_norm": 2.8154027462005615, |
|
"learning_rate": 0.00029830148619957534, |
|
"loss": 1.599, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"grad_norm": 3.205636978149414, |
|
"learning_rate": 0.00028768577494692145, |
|
"loss": 1.5495, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"eval_accuracy": 0.49357142857142855, |
|
"eval_f1_macro": 0.27123774899491926, |
|
"eval_f1_micro": 0.49357142857142855, |
|
"eval_loss": 1.6304272413253784, |
|
"eval_runtime": 1.4448, |
|
"eval_samples_per_second": 968.997, |
|
"eval_steps_per_second": 30.454, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"grad_norm": 2.952043056488037, |
|
"learning_rate": 0.0002770700636942675, |
|
"loss": 1.54, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"grad_norm": 3.9415132999420166, |
|
"learning_rate": 0.0002664543524416136, |
|
"loss": 1.3851, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"grad_norm": 3.267624855041504, |
|
"learning_rate": 0.00025583864118895966, |
|
"loss": 1.4578, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"grad_norm": 2.674995183944702, |
|
"learning_rate": 0.0002452229299363057, |
|
"loss": 1.4493, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"grad_norm": 3.1213557720184326, |
|
"learning_rate": 0.00023460721868365182, |
|
"loss": 1.4455, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"eval_accuracy": 0.5114285714285715, |
|
"eval_f1_macro": 0.306348400600396, |
|
"eval_f1_micro": 0.5114285714285715, |
|
"eval_loss": 1.628359079360962, |
|
"eval_runtime": 1.4497, |
|
"eval_samples_per_second": 965.691, |
|
"eval_steps_per_second": 30.35, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"grad_norm": 2.985950231552124, |
|
"learning_rate": 0.0002239915074309979, |
|
"loss": 1.5599, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.72, |
|
"grad_norm": 3.0701353549957275, |
|
"learning_rate": 0.00021337579617834395, |
|
"loss": 1.4849, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"grad_norm": 2.7773752212524414, |
|
"learning_rate": 0.00020276008492569003, |
|
"loss": 1.3985, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"grad_norm": 3.100576877593994, |
|
"learning_rate": 0.0001921443736730361, |
|
"loss": 1.4363, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"grad_norm": 2.965590476989746, |
|
"learning_rate": 0.00018152866242038217, |
|
"loss": 1.3035, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"eval_accuracy": 0.5164285714285715, |
|
"eval_f1_macro": 0.31299962948284965, |
|
"eval_f1_micro": 0.5164285714285715, |
|
"eval_loss": 1.633267879486084, |
|
"eval_runtime": 1.4513, |
|
"eval_samples_per_second": 964.647, |
|
"eval_steps_per_second": 30.317, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.97, |
|
"grad_norm": 3.2483999729156494, |
|
"learning_rate": 0.00017091295116772822, |
|
"loss": 1.3943, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"grad_norm": 3.3734776973724365, |
|
"learning_rate": 0.0001602972399150743, |
|
"loss": 1.3575, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"grad_norm": 2.8578903675079346, |
|
"learning_rate": 0.00014968152866242038, |
|
"loss": 1.3466, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 2.17, |
|
"grad_norm": 3.1349565982818604, |
|
"learning_rate": 0.00013906581740976646, |
|
"loss": 1.393, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"grad_norm": 3.431678533554077, |
|
"learning_rate": 0.00012845010615711254, |
|
"loss": 1.3057, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"eval_accuracy": 0.5285714285714286, |
|
"eval_f1_macro": 0.33411386403759064, |
|
"eval_f1_micro": 0.5285714285714286, |
|
"eval_loss": 1.5789132118225098, |
|
"eval_runtime": 1.4525, |
|
"eval_samples_per_second": 963.834, |
|
"eval_steps_per_second": 30.292, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 2.29, |
|
"grad_norm": 2.3110225200653076, |
|
"learning_rate": 0.0001178343949044586, |
|
"loss": 1.2896, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"grad_norm": 2.8537588119506836, |
|
"learning_rate": 0.00010721868365180467, |
|
"loss": 1.2275, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"grad_norm": 3.885326623916626, |
|
"learning_rate": 9.660297239915075e-05, |
|
"loss": 1.3663, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"grad_norm": 3.13773250579834, |
|
"learning_rate": 8.598726114649682e-05, |
|
"loss": 1.3194, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"grad_norm": 3.769230604171753, |
|
"learning_rate": 7.537154989384288e-05, |
|
"loss": 1.2992, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"eval_accuracy": 0.5357142857142857, |
|
"eval_f1_macro": 0.3397937397852514, |
|
"eval_f1_micro": 0.5357142857142857, |
|
"eval_loss": 1.5673164129257202, |
|
"eval_runtime": 1.463, |
|
"eval_samples_per_second": 956.921, |
|
"eval_steps_per_second": 30.075, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"grad_norm": 3.0843989849090576, |
|
"learning_rate": 6.475583864118896e-05, |
|
"loss": 1.3421, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"grad_norm": 3.6903655529022217, |
|
"learning_rate": 5.414012738853504e-05, |
|
"loss": 1.304, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"grad_norm": 3.312966823577881, |
|
"learning_rate": 4.35244161358811e-05, |
|
"loss": 1.2926, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"grad_norm": 3.0309150218963623, |
|
"learning_rate": 3.2908704883227177e-05, |
|
"loss": 1.1642, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.87, |
|
"grad_norm": 3.3688299655914307, |
|
"learning_rate": 2.2292993630573246e-05, |
|
"loss": 1.1637, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.87, |
|
"eval_accuracy": 0.5364285714285715, |
|
"eval_f1_macro": 0.34155184537672817, |
|
"eval_f1_micro": 0.5364285714285715, |
|
"eval_loss": 1.5666028261184692, |
|
"eval_runtime": 1.467, |
|
"eval_samples_per_second": 954.321, |
|
"eval_steps_per_second": 29.993, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"grad_norm": 3.3567051887512207, |
|
"learning_rate": 1.167728237791932e-05, |
|
"loss": 1.2181, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"grad_norm": 3.1731135845184326, |
|
"learning_rate": 1.0615711252653927e-06, |
|
"loss": 1.2584, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 471, |
|
"total_flos": 513144687755264.0, |
|
"train_loss": 1.5406995027181702, |
|
"train_runtime": 66.3357, |
|
"train_samples_per_second": 226.123, |
|
"train_steps_per_second": 7.1 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 471, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 50, |
|
"total_flos": 513144687755264.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|