|
{ |
|
"best_metric": 0.6833301782608032, |
|
"best_model_checkpoint": "mistralai/Mistral-7B-Instruct-v0.2_trail-/checkpoint-1600", |
|
"epoch": 0.9696969696969697, |
|
"eval_steps": 200, |
|
"global_step": 1600, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 2.0257179737091064, |
|
"learning_rate": 2e-05, |
|
"loss": 1.4524, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 1.6968803405761719, |
|
"learning_rate": 2e-05, |
|
"loss": 0.9393, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"grad_norm": 1.7078455686569214, |
|
"learning_rate": 2e-05, |
|
"loss": 0.8432, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"grad_norm": 1.6603143215179443, |
|
"learning_rate": 2e-05, |
|
"loss": 0.8382, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 1.6785234212875366, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7994, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 1.273807406425476, |
|
"learning_rate": 2e-05, |
|
"loss": 0.8302, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 1.3506838083267212, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7588, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"grad_norm": 1.3038816452026367, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7462, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"grad_norm": 1.4663119316101074, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7391, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 1.2945542335510254, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7768, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 1.258899211883545, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7737, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 1.416283369064331, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7422, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 1.200121283531189, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7306, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 1.1042457818984985, |
|
"learning_rate": 2e-05, |
|
"loss": 0.733, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"grad_norm": 1.3173305988311768, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7454, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 1.2873802185058594, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7218, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 1.2658429145812988, |
|
"learning_rate": 2e-05, |
|
"loss": 0.763, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"grad_norm": 1.1320024728775024, |
|
"learning_rate": 2e-05, |
|
"loss": 0.754, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"grad_norm": 1.074420690536499, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6971, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"grad_norm": 1.051477074623108, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7318, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_loss": 0.72369384765625, |
|
"eval_runtime": 576.3119, |
|
"eval_samples_per_second": 0.953, |
|
"eval_steps_per_second": 0.095, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 1.084792971611023, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7234, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 1.2191482782363892, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7117, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"grad_norm": 1.0391403436660767, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7561, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"grad_norm": 1.1228817701339722, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7488, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"grad_norm": 1.03204345703125, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7096, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": 1.0652753114700317, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7035, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": 1.0256322622299194, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7151, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"grad_norm": 0.9747219681739807, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7161, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"grad_norm": 1.028686761856079, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7268, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"grad_norm": 1.129952073097229, |
|
"learning_rate": 2e-05, |
|
"loss": 0.812, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"grad_norm": 1.1518712043762207, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7328, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"grad_norm": 1.0078867673873901, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7201, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"grad_norm": 1.050847053527832, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7003, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"grad_norm": 0.9970359802246094, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6904, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"grad_norm": 0.9830156564712524, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7167, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"grad_norm": 1.121741771697998, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7053, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"grad_norm": 1.11673104763031, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7162, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"grad_norm": 0.94569993019104, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6991, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 0.9942061305046082, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7207, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 1.0249754190444946, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7364, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_loss": 0.7096507549285889, |
|
"eval_runtime": 576.6307, |
|
"eval_samples_per_second": 0.952, |
|
"eval_steps_per_second": 0.095, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"grad_norm": 1.0410763025283813, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7104, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"grad_norm": 1.0619620084762573, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7713, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"grad_norm": 1.0299198627471924, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6684, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"grad_norm": 0.946596086025238, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7197, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"grad_norm": 1.00041663646698, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7406, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"grad_norm": 0.971476674079895, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6926, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"grad_norm": 0.9575595259666443, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7121, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"grad_norm": 1.0066837072372437, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7501, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 1.1008684635162354, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7413, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 1.004758358001709, |
|
"learning_rate": 2e-05, |
|
"loss": 0.726, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"grad_norm": 1.0132404565811157, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7446, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 0.928865909576416, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6484, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 1.0739837884902954, |
|
"learning_rate": 2e-05, |
|
"loss": 0.693, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"grad_norm": 0.9825330376625061, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7004, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"grad_norm": 1.034639596939087, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7102, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"grad_norm": 0.9825816750526428, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6763, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"grad_norm": 0.872897744178772, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7211, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"grad_norm": 1.0789843797683716, |
|
"learning_rate": 2e-05, |
|
"loss": 0.744, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"grad_norm": 0.8900558352470398, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7098, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"grad_norm": 0.9795206785202026, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6974, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"eval_loss": 0.7024338245391846, |
|
"eval_runtime": 576.7068, |
|
"eval_samples_per_second": 0.952, |
|
"eval_steps_per_second": 0.095, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"grad_norm": 0.8986483812332153, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6655, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"grad_norm": 1.0255687236785889, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6921, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"grad_norm": 1.1219247579574585, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7142, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"grad_norm": 1.0987035036087036, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7698, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"grad_norm": 0.976980984210968, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7185, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 0.9381852149963379, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6631, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"grad_norm": 1.0329375267028809, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6894, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"grad_norm": 0.921355128288269, |
|
"learning_rate": 2e-05, |
|
"loss": 0.753, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"grad_norm": 0.9028052687644958, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7371, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"grad_norm": 0.9813818335533142, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6981, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"grad_norm": 1.2183573246002197, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7199, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"grad_norm": 0.9314076900482178, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7096, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"grad_norm": 0.8565794825553894, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6797, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"grad_norm": 0.8477567434310913, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6874, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"grad_norm": 1.0110888481140137, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7495, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"grad_norm": 0.9757490158081055, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6809, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"grad_norm": 0.8909426927566528, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6746, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"grad_norm": 0.8148036003112793, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7196, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 0.9427577257156372, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7082, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 0.8812272548675537, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7031, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_loss": 0.6963450908660889, |
|
"eval_runtime": 576.5372, |
|
"eval_samples_per_second": 0.952, |
|
"eval_steps_per_second": 0.095, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"grad_norm": 1.184993028640747, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6883, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"grad_norm": 1.032034993171692, |
|
"learning_rate": 2e-05, |
|
"loss": 0.687, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"grad_norm": 0.8716715574264526, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7196, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 1.0160155296325684, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7549, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"grad_norm": 0.9079670906066895, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6564, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"grad_norm": 0.9788998365402222, |
|
"learning_rate": 2e-05, |
|
"loss": 0.698, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"grad_norm": 0.9993180632591248, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7041, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"grad_norm": 0.8905129432678223, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7061, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"grad_norm": 0.9284083247184753, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7213, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"grad_norm": 0.9979264140129089, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7067, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"grad_norm": 0.9622723460197449, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7078, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"grad_norm": 1.0288429260253906, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7018, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"grad_norm": 0.9015412926673889, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7013, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"grad_norm": 0.9322758316993713, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7006, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"grad_norm": 0.875117301940918, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6632, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"grad_norm": 0.9057668447494507, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7009, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"grad_norm": 0.8785907030105591, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7029, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"grad_norm": 0.896600067615509, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6583, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"grad_norm": 0.9632496237754822, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7226, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"grad_norm": 1.0047279596328735, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7201, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"eval_loss": 0.692192018032074, |
|
"eval_runtime": 576.3596, |
|
"eval_samples_per_second": 0.953, |
|
"eval_steps_per_second": 0.095, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"grad_norm": 0.8589789271354675, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6875, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"grad_norm": 0.9107193946838379, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6563, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"grad_norm": 0.9334760308265686, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7311, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"grad_norm": 0.8864697813987732, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7121, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 0.952052891254425, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6842, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 0.9001901745796204, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6769, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"grad_norm": 0.963742733001709, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7003, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"grad_norm": 0.9565225839614868, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7478, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"grad_norm": 0.9401019811630249, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7475, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"grad_norm": 0.8856386542320251, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6879, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"grad_norm": 0.8875776529312134, |
|
"learning_rate": 2e-05, |
|
"loss": 0.705, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"grad_norm": 0.9274523854255676, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7378, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"grad_norm": 0.9206425547599792, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6691, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"grad_norm": 0.8944551944732666, |
|
"learning_rate": 2e-05, |
|
"loss": 0.684, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"grad_norm": 1.1095612049102783, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7046, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"grad_norm": 0.9099195599555969, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6839, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"grad_norm": 0.8802533745765686, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6668, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"grad_norm": 0.9142954349517822, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6869, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"grad_norm": 0.8676968812942505, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7255, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"grad_norm": 0.8218028545379639, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7424, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"eval_loss": 0.6879069209098816, |
|
"eval_runtime": 576.2219, |
|
"eval_samples_per_second": 0.953, |
|
"eval_steps_per_second": 0.095, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"grad_norm": 0.8519162535667419, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7128, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"grad_norm": 0.8599090576171875, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7309, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"grad_norm": 0.9774763584136963, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7092, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"grad_norm": 0.9119387865066528, |
|
"learning_rate": 2e-05, |
|
"loss": 0.682, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"grad_norm": 0.9051375985145569, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7042, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"grad_norm": 0.9292181134223938, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6991, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"grad_norm": 0.9441558718681335, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6838, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"grad_norm": 0.8878441452980042, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6815, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"grad_norm": 0.9556174874305725, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6765, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"grad_norm": 0.8373817205429077, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7348, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"grad_norm": 0.9634573459625244, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6846, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"grad_norm": 0.8429288268089294, |
|
"learning_rate": 2e-05, |
|
"loss": 0.678, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"grad_norm": 0.9088312387466431, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6949, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"grad_norm": 0.9536995887756348, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6794, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"grad_norm": 0.9287436008453369, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7111, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"grad_norm": 0.8534522652626038, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6892, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"grad_norm": 0.9239506721496582, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7138, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"grad_norm": 0.9194501042366028, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7232, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"grad_norm": 0.961037278175354, |
|
"learning_rate": 2e-05, |
|
"loss": 0.697, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 0.8385772109031677, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7016, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"eval_loss": 0.6852899789810181, |
|
"eval_runtime": 576.2672, |
|
"eval_samples_per_second": 0.953, |
|
"eval_steps_per_second": 0.095, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 1.0281404256820679, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7012, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"grad_norm": 1.0333633422851562, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7501, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"grad_norm": 0.9055823683738708, |
|
"learning_rate": 2e-05, |
|
"loss": 0.738, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"grad_norm": 0.9356181025505066, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6842, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"grad_norm": 0.8437691926956177, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6658, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"grad_norm": 1.0060279369354248, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6954, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 0.8564276099205017, |
|
"learning_rate": 2e-05, |
|
"loss": 0.684, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"grad_norm": 0.9397062659263611, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7047, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"grad_norm": 0.9040536284446716, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7001, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"grad_norm": 0.9114941358566284, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6796, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"grad_norm": 0.9135074615478516, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7335, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"grad_norm": 0.8748692274093628, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6922, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"grad_norm": 0.8640381097793579, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6638, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"grad_norm": 0.9141325950622559, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6729, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"grad_norm": 0.925592839717865, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7008, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"grad_norm": 0.9290179014205933, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7058, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"grad_norm": 0.8498104810714722, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6838, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 0.9508926868438721, |
|
"learning_rate": 2e-05, |
|
"loss": 0.72, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 0.8391693830490112, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6693, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"grad_norm": 0.8421803712844849, |
|
"learning_rate": 2e-05, |
|
"loss": 0.6953, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"eval_loss": 0.6833301782608032, |
|
"eval_runtime": 576.54, |
|
"eval_samples_per_second": 0.952, |
|
"eval_steps_per_second": 0.095, |
|
"step": 1600 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 1649, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 200, |
|
"total_flos": 4.1937076224e+17, |
|
"train_batch_size": 10, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|