|
{ |
|
"best_metric": 0.6952534317970276, |
|
"best_model_checkpoint": "/home/llmadmin/models/loras-trained/wizardLM-llama-lora-13b/checkpoint-1200", |
|
"epoch": 2.1176470588235294, |
|
"global_step": 1200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 2.6999999999999996e-05, |
|
"loss": 1.2009, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 5.6999999999999996e-05, |
|
"loss": 1.198, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 8.699999999999999e-05, |
|
"loss": 1.1318, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.000117, |
|
"loss": 1.0446, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.000147, |
|
"loss": 0.9254, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00017699999999999997, |
|
"loss": 0.8364, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00020699999999999996, |
|
"loss": 0.818, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.000237, |
|
"loss": 0.8094, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.000267, |
|
"loss": 0.7891, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.00029699999999999996, |
|
"loss": 0.7915, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.0002983103879849812, |
|
"loss": 0.777, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.000296433041301627, |
|
"loss": 0.7809, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.0002945556946182728, |
|
"loss": 0.7705, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.0002926783479349186, |
|
"loss": 0.7545, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00029080100125156443, |
|
"loss": 0.7584, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00028892365456821025, |
|
"loss": 0.751, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.00028704630788485607, |
|
"loss": 0.757, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.00028516896120150183, |
|
"loss": 0.7446, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00028329161451814765, |
|
"loss": 0.7411, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.0002814142678347935, |
|
"loss": 0.754, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"eval_loss": 0.7339245676994324, |
|
"eval_runtime": 65.2861, |
|
"eval_samples_per_second": 30.634, |
|
"eval_steps_per_second": 0.766, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 0.00027953692115143924, |
|
"loss": 0.7487, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.00027765957446808506, |
|
"loss": 0.7478, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.0002757822277847309, |
|
"loss": 0.7336, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.0002739048811013767, |
|
"loss": 0.7386, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002720275344180225, |
|
"loss": 0.7359, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.0002701501877346683, |
|
"loss": 0.7455, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.0002682728410513141, |
|
"loss": 0.733, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.0002663954943679599, |
|
"loss": 0.7332, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00026451814768460575, |
|
"loss": 0.7253, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.00026264080100125157, |
|
"loss": 0.732, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 0.00026076345431789733, |
|
"loss": 0.7271, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.00025888610763454315, |
|
"loss": 0.7365, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.00025700876095118897, |
|
"loss": 0.7266, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.0002551314142678348, |
|
"loss": 0.733, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00025325406758448056, |
|
"loss": 0.7343, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0002513767209011264, |
|
"loss": 0.723, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.0002494993742177722, |
|
"loss": 0.7391, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.000247622027534418, |
|
"loss": 0.7265, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00024574468085106384, |
|
"loss": 0.7283, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.0002438673341677096, |
|
"loss": 0.7306, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"eval_loss": 0.7154878377914429, |
|
"eval_runtime": 65.4382, |
|
"eval_samples_per_second": 30.563, |
|
"eval_steps_per_second": 0.764, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00024198998748435542, |
|
"loss": 0.725, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 0.00024011264080100122, |
|
"loss": 0.7275, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.000238235294117647, |
|
"loss": 0.7188, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.00023635794743429286, |
|
"loss": 0.7216, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.00023448060075093865, |
|
"loss": 0.7132, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00023260325406758447, |
|
"loss": 0.7372, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.00023072590738423026, |
|
"loss": 0.7111, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.00022884856070087608, |
|
"loss": 0.7131, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.00022697121401752188, |
|
"loss": 0.7193, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00022509386733416767, |
|
"loss": 0.7152, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00022321652065081352, |
|
"loss": 0.7234, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.0002213391739674593, |
|
"loss": 0.7193, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.00021946182728410513, |
|
"loss": 0.7208, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.00021758448060075092, |
|
"loss": 0.7205, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.00021570713391739672, |
|
"loss": 0.7154, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.00021382978723404254, |
|
"loss": 0.7224, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00021195244055068833, |
|
"loss": 0.7015, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00021007509386733418, |
|
"loss": 0.7168, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.00020819774718397997, |
|
"loss": 0.7281, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.00020632040050062576, |
|
"loss": 0.7112, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"eval_loss": 0.7068994045257568, |
|
"eval_runtime": 65.2314, |
|
"eval_samples_per_second": 30.66, |
|
"eval_steps_per_second": 0.767, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00020444305381727158, |
|
"loss": 0.7133, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.00020256570713391738, |
|
"loss": 0.7047, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.00020068836045056317, |
|
"loss": 0.7163, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.000198811013767209, |
|
"loss": 0.7168, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.00019693366708385478, |
|
"loss": 0.7028, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 0.00019505632040050063, |
|
"loss": 0.7064, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.00019317897371714642, |
|
"loss": 0.7127, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.00019130162703379222, |
|
"loss": 0.7193, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.00018942428035043804, |
|
"loss": 0.6966, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.00018754693366708383, |
|
"loss": 0.7104, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.00018566958698372962, |
|
"loss": 0.7076, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00018379224030037544, |
|
"loss": 0.6971, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.00018191489361702126, |
|
"loss": 0.6941, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.00018003754693366708, |
|
"loss": 0.6992, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.00017816020025031287, |
|
"loss": 0.7059, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 0.0001762828535669587, |
|
"loss": 0.6936, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 0.0001744055068836045, |
|
"loss": 0.6961, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.00017252816020025028, |
|
"loss": 0.7125, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 0.0001706508135168961, |
|
"loss": 0.7046, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.00016877346683354192, |
|
"loss": 0.7034, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"eval_loss": 0.7016428709030151, |
|
"eval_runtime": 65.2245, |
|
"eval_samples_per_second": 30.663, |
|
"eval_steps_per_second": 0.767, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.43, |
|
"learning_rate": 0.00016689612015018774, |
|
"loss": 0.7011, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 0.00016501877346683353, |
|
"loss": 0.7049, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"learning_rate": 0.00016314142678347933, |
|
"loss": 0.6965, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"learning_rate": 0.00016126408010012515, |
|
"loss": 0.6965, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00015938673341677094, |
|
"loss": 0.6975, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 0.00015750938673341673, |
|
"loss": 0.7094, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"learning_rate": 0.00015563204005006258, |
|
"loss": 0.6918, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 0.00015375469336670837, |
|
"loss": 0.7031, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.0001518773466833542, |
|
"loss": 0.7027, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.00015, |
|
"loss": 0.6996, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 0.00014812265331664578, |
|
"loss": 0.7048, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 0.0001462453066332916, |
|
"loss": 0.6962, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 1.64, |
|
"learning_rate": 0.00014436795994993742, |
|
"loss": 0.6918, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"learning_rate": 0.0001424906132665832, |
|
"loss": 0.6979, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.000140613266583229, |
|
"loss": 0.6958, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.00013873591989987483, |
|
"loss": 0.7027, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.00013685857321652065, |
|
"loss": 0.7092, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 1.73, |
|
"learning_rate": 0.00013498122653316644, |
|
"loss": 0.6917, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 0.00013310387984981226, |
|
"loss": 0.6996, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"learning_rate": 0.00013122653316645805, |
|
"loss": 0.6889, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"eval_loss": 0.6975076794624329, |
|
"eval_runtime": 65.2345, |
|
"eval_samples_per_second": 30.659, |
|
"eval_steps_per_second": 0.766, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"learning_rate": 0.00012934918648310387, |
|
"loss": 0.7083, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.00012747183979974967, |
|
"loss": 0.6934, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 1.82, |
|
"learning_rate": 0.00012559449311639549, |
|
"loss": 0.7002, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 0.00012371714643304128, |
|
"loss": 0.6899, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.0001218397997496871, |
|
"loss": 0.6856, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 0.00011996245306633289, |
|
"loss": 0.695, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 0.00011808510638297871, |
|
"loss": 0.6934, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"learning_rate": 0.00011620775969962452, |
|
"loss": 0.6933, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.00011433041301627033, |
|
"loss": 0.6983, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"learning_rate": 0.00011245306633291615, |
|
"loss": 0.705, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 0.00011057571964956194, |
|
"loss": 0.6944, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.00010869837296620774, |
|
"loss": 0.6977, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 1.99, |
|
"learning_rate": 0.00010682102628285355, |
|
"loss": 0.6966, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 2.01, |
|
"learning_rate": 0.00010494367959949937, |
|
"loss": 0.6868, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"learning_rate": 0.00010306633291614518, |
|
"loss": 0.6802, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"learning_rate": 0.00010118898623279097, |
|
"loss": 0.6916, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 9.931163954943679e-05, |
|
"loss": 0.7018, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 9.74342928660826e-05, |
|
"loss": 0.6951, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 9.55569461827284e-05, |
|
"loss": 0.6906, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 9.36795994993742e-05, |
|
"loss": 0.6965, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"eval_loss": 0.6952534317970276, |
|
"eval_runtime": 65.233, |
|
"eval_samples_per_second": 30.659, |
|
"eval_steps_per_second": 0.766, |
|
"step": 1200 |
|
} |
|
], |
|
"max_steps": 1698, |
|
"num_train_epochs": 3, |
|
"total_flos": 5.549133471969968e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|