| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 785, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.032, | |
| "grad_norm": 4.928303923341276, | |
| "learning_rate": 2.0253164556962026e-06, | |
| "loss": 0.6554, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15289047360420227, | |
| "step": 5, | |
| "valid_targets_mean": 5641.3, | |
| "valid_targets_min": 1301 | |
| }, | |
| { | |
| "epoch": 0.064, | |
| "grad_norm": 3.56587737821047, | |
| "learning_rate": 4.556962025316456e-06, | |
| "loss": 0.6827, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13833564519882202, | |
| "step": 10, | |
| "valid_targets_mean": 5444.6, | |
| "valid_targets_min": 1072 | |
| }, | |
| { | |
| "epoch": 0.096, | |
| "grad_norm": 1.896045909613139, | |
| "learning_rate": 7.08860759493671e-06, | |
| "loss": 0.6055, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1605866253376007, | |
| "step": 15, | |
| "valid_targets_mean": 5732.6, | |
| "valid_targets_min": 2447 | |
| }, | |
| { | |
| "epoch": 0.128, | |
| "grad_norm": 0.7667010725078626, | |
| "learning_rate": 9.620253164556963e-06, | |
| "loss": 0.5813, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13460011780261993, | |
| "step": 20, | |
| "valid_targets_mean": 5091.4, | |
| "valid_targets_min": 834 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.6644584196631574, | |
| "learning_rate": 1.2151898734177216e-05, | |
| "loss": 0.5517, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10424536466598511, | |
| "step": 25, | |
| "valid_targets_mean": 3950.8, | |
| "valid_targets_min": 627 | |
| }, | |
| { | |
| "epoch": 0.192, | |
| "grad_norm": 0.46403980261557193, | |
| "learning_rate": 1.468354430379747e-05, | |
| "loss": 0.5304, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11924353986978531, | |
| "step": 30, | |
| "valid_targets_mean": 5288.8, | |
| "valid_targets_min": 695 | |
| }, | |
| { | |
| "epoch": 0.224, | |
| "grad_norm": 0.39227274095601544, | |
| "learning_rate": 1.7215189873417723e-05, | |
| "loss": 0.5169, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15169405937194824, | |
| "step": 35, | |
| "valid_targets_mean": 5724.2, | |
| "valid_targets_min": 1349 | |
| }, | |
| { | |
| "epoch": 0.256, | |
| "grad_norm": 0.2911708854639352, | |
| "learning_rate": 1.974683544303798e-05, | |
| "loss": 0.4812, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09291832149028778, | |
| "step": 40, | |
| "valid_targets_mean": 5563.2, | |
| "valid_targets_min": 1156 | |
| }, | |
| { | |
| "epoch": 0.288, | |
| "grad_norm": 0.2730326283080748, | |
| "learning_rate": 2.2278481012658228e-05, | |
| "loss": 0.4647, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0825074166059494, | |
| "step": 45, | |
| "valid_targets_mean": 4044.0, | |
| "valid_targets_min": 505 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.24544550096701181, | |
| "learning_rate": 2.481012658227848e-05, | |
| "loss": 0.4586, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08485662192106247, | |
| "step": 50, | |
| "valid_targets_mean": 4775.4, | |
| "valid_targets_min": 891 | |
| }, | |
| { | |
| "epoch": 0.352, | |
| "grad_norm": 0.23353715280746448, | |
| "learning_rate": 2.7341772151898737e-05, | |
| "loss": 0.4545, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1185971349477768, | |
| "step": 55, | |
| "valid_targets_mean": 6933.8, | |
| "valid_targets_min": 1072 | |
| }, | |
| { | |
| "epoch": 0.384, | |
| "grad_norm": 0.2247089600498084, | |
| "learning_rate": 2.987341772151899e-05, | |
| "loss": 0.4294, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10480961948633194, | |
| "step": 60, | |
| "valid_targets_mean": 5542.1, | |
| "valid_targets_min": 748 | |
| }, | |
| { | |
| "epoch": 0.416, | |
| "grad_norm": 0.25675788129088145, | |
| "learning_rate": 3.240506329113924e-05, | |
| "loss": 0.4524, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09944994747638702, | |
| "step": 65, | |
| "valid_targets_mean": 4435.2, | |
| "valid_targets_min": 666 | |
| }, | |
| { | |
| "epoch": 0.448, | |
| "grad_norm": 0.24511356998076508, | |
| "learning_rate": 3.49367088607595e-05, | |
| "loss": 0.4223, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08963944017887115, | |
| "step": 70, | |
| "valid_targets_mean": 5001.8, | |
| "valid_targets_min": 770 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 0.21675938871267908, | |
| "learning_rate": 3.746835443037975e-05, | |
| "loss": 0.4355, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09129945933818817, | |
| "step": 75, | |
| "valid_targets_mean": 5227.5, | |
| "valid_targets_min": 442 | |
| }, | |
| { | |
| "epoch": 0.512, | |
| "grad_norm": 0.2629108825099611, | |
| "learning_rate": 4e-05, | |
| "loss": 0.4259, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09954790025949478, | |
| "step": 80, | |
| "valid_targets_mean": 4703.3, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 0.544, | |
| "grad_norm": 0.22125338534597627, | |
| "learning_rate": 3.999504991751045e-05, | |
| "loss": 0.409, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09648779034614563, | |
| "step": 85, | |
| "valid_targets_mean": 6303.9, | |
| "valid_targets_min": 659 | |
| }, | |
| { | |
| "epoch": 0.576, | |
| "grad_norm": 0.23276290152257195, | |
| "learning_rate": 3.9980202120373464e-05, | |
| "loss": 0.4085, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10333982855081558, | |
| "step": 90, | |
| "valid_targets_mean": 4726.8, | |
| "valid_targets_min": 670 | |
| }, | |
| { | |
| "epoch": 0.608, | |
| "grad_norm": 0.21517810450264546, | |
| "learning_rate": 3.995546395837111e-05, | |
| "loss": 0.4112, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10249157249927521, | |
| "step": 95, | |
| "valid_targets_mean": 5971.6, | |
| "valid_targets_min": 974 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 0.25147290111354365, | |
| "learning_rate": 3.992084767709763e-05, | |
| "loss": 0.403, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10272113978862762, | |
| "step": 100, | |
| "valid_targets_mean": 5096.6, | |
| "valid_targets_min": 886 | |
| }, | |
| { | |
| "epoch": 0.672, | |
| "grad_norm": 0.23401564883026865, | |
| "learning_rate": 3.987637041189781e-05, | |
| "loss": 0.4054, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12163965404033661, | |
| "step": 105, | |
| "valid_targets_mean": 6824.0, | |
| "valid_targets_min": 760 | |
| }, | |
| { | |
| "epoch": 0.704, | |
| "grad_norm": 0.2290479008287171, | |
| "learning_rate": 3.982205417938482e-05, | |
| "loss": 0.4004, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1165388897061348, | |
| "step": 110, | |
| "valid_targets_mean": 6983.6, | |
| "valid_targets_min": 1467 | |
| }, | |
| { | |
| "epoch": 0.736, | |
| "grad_norm": 0.23839651513534693, | |
| "learning_rate": 3.975792586654179e-05, | |
| "loss": 0.3999, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11183565109968185, | |
| "step": 115, | |
| "valid_targets_mean": 5738.2, | |
| "valid_targets_min": 576 | |
| }, | |
| { | |
| "epoch": 0.768, | |
| "grad_norm": 0.21718928576593474, | |
| "learning_rate": 3.968401721741259e-05, | |
| "loss": 0.3989, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10332593321800232, | |
| "step": 120, | |
| "valid_targets_mean": 5972.9, | |
| "valid_targets_min": 1069 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 0.22454969467766567, | |
| "learning_rate": 3.960036481738819e-05, | |
| "loss": 0.4012, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08161451667547226, | |
| "step": 125, | |
| "valid_targets_mean": 6150.6, | |
| "valid_targets_min": 1019 | |
| }, | |
| { | |
| "epoch": 0.832, | |
| "grad_norm": 0.2338808197665691, | |
| "learning_rate": 3.950701007509667e-05, | |
| "loss": 0.3994, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10118290781974792, | |
| "step": 130, | |
| "valid_targets_mean": 5070.9, | |
| "valid_targets_min": 687 | |
| }, | |
| { | |
| "epoch": 0.864, | |
| "grad_norm": 0.22360556626323538, | |
| "learning_rate": 3.940399920190552e-05, | |
| "loss": 0.4046, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09752712398767471, | |
| "step": 135, | |
| "valid_targets_mean": 4816.9, | |
| "valid_targets_min": 496 | |
| }, | |
| { | |
| "epoch": 0.896, | |
| "grad_norm": 0.23997680210076047, | |
| "learning_rate": 3.92913831890467e-05, | |
| "loss": 0.3888, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08181541413068771, | |
| "step": 140, | |
| "valid_targets_mean": 5070.4, | |
| "valid_targets_min": 729 | |
| }, | |
| { | |
| "epoch": 0.928, | |
| "grad_norm": 0.22451344205486704, | |
| "learning_rate": 3.916921778237556e-05, | |
| "loss": 0.3733, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09583885967731476, | |
| "step": 145, | |
| "valid_targets_mean": 6154.8, | |
| "valid_targets_min": 812 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 0.26890310548364266, | |
| "learning_rate": 3.903756345477612e-05, | |
| "loss": 0.385, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11868951469659805, | |
| "step": 150, | |
| "valid_targets_mean": 5690.5, | |
| "valid_targets_min": 987 | |
| }, | |
| { | |
| "epoch": 0.992, | |
| "grad_norm": 0.22733298879608416, | |
| "learning_rate": 3.889648537622657e-05, | |
| "loss": 0.3809, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.090506911277771, | |
| "step": 155, | |
| "valid_targets_mean": 5883.9, | |
| "valid_targets_min": 676 | |
| }, | |
| { | |
| "epoch": 1.0192, | |
| "grad_norm": 0.23726768840076212, | |
| "learning_rate": 3.874605338153952e-05, | |
| "loss": 0.392, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08799299597740173, | |
| "step": 160, | |
| "valid_targets_mean": 4297.6, | |
| "valid_targets_min": 575 | |
| }, | |
| { | |
| "epoch": 1.0512, | |
| "grad_norm": 0.22801340550293098, | |
| "learning_rate": 3.8586341935793265e-05, | |
| "loss": 0.3776, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09078355133533478, | |
| "step": 165, | |
| "valid_targets_mean": 5597.7, | |
| "valid_targets_min": 683 | |
| }, | |
| { | |
| "epoch": 1.0832, | |
| "grad_norm": 0.22357443265551508, | |
| "learning_rate": 3.841743009747089e-05, | |
| "loss": 0.3844, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0776141956448555, | |
| "step": 170, | |
| "valid_targets_mean": 4806.2, | |
| "valid_targets_min": 858 | |
| }, | |
| { | |
| "epoch": 1.1152, | |
| "grad_norm": 0.22946285324328855, | |
| "learning_rate": 3.8239401479325714e-05, | |
| "loss": 0.3747, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09163686633110046, | |
| "step": 175, | |
| "valid_targets_mean": 4686.6, | |
| "valid_targets_min": 535 | |
| }, | |
| { | |
| "epoch": 1.1472, | |
| "grad_norm": 0.23011603198812142, | |
| "learning_rate": 3.8052344206992276e-05, | |
| "loss": 0.377, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10034259408712387, | |
| "step": 180, | |
| "valid_targets_mean": 5953.7, | |
| "valid_targets_min": 1237 | |
| }, | |
| { | |
| "epoch": 1.1792, | |
| "grad_norm": 0.25380179303397327, | |
| "learning_rate": 3.7856350875363396e-05, | |
| "loss": 0.3784, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08439832180738449, | |
| "step": 185, | |
| "valid_targets_mean": 4131.6, | |
| "valid_targets_min": 826 | |
| }, | |
| { | |
| "epoch": 1.2112, | |
| "grad_norm": 0.20988638695701559, | |
| "learning_rate": 3.765151850275497e-05, | |
| "loss": 0.3802, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09300483018159866, | |
| "step": 190, | |
| "valid_targets_mean": 5937.2, | |
| "valid_targets_min": 735 | |
| }, | |
| { | |
| "epoch": 1.2432, | |
| "grad_norm": 0.22239347291739783, | |
| "learning_rate": 3.7437948482881104e-05, | |
| "loss": 0.3687, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10371306538581848, | |
| "step": 195, | |
| "valid_targets_mean": 6962.8, | |
| "valid_targets_min": 2016 | |
| }, | |
| { | |
| "epoch": 1.2752, | |
| "grad_norm": 0.22763471960424564, | |
| "learning_rate": 3.721574653466336e-05, | |
| "loss": 0.3783, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09472569823265076, | |
| "step": 200, | |
| "valid_targets_mean": 5437.2, | |
| "valid_targets_min": 824 | |
| }, | |
| { | |
| "epoch": 1.3072, | |
| "grad_norm": 0.24064510945856749, | |
| "learning_rate": 3.698502264989903e-05, | |
| "loss": 0.3795, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0747733861207962, | |
| "step": 205, | |
| "valid_targets_mean": 5013.6, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 1.3392, | |
| "grad_norm": 0.23942330379692994, | |
| "learning_rate": 3.674589103881432e-05, | |
| "loss": 0.3835, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11098362505435944, | |
| "step": 210, | |
| "valid_targets_mean": 6360.2, | |
| "valid_targets_min": 1310 | |
| }, | |
| { | |
| "epoch": 1.3712, | |
| "grad_norm": 0.23452470886409366, | |
| "learning_rate": 3.64984700735293e-05, | |
| "loss": 0.3764, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07871714234352112, | |
| "step": 215, | |
| "valid_targets_mean": 4264.9, | |
| "valid_targets_min": 544 | |
| }, | |
| { | |
| "epoch": 1.4032, | |
| "grad_norm": 0.23798538323500035, | |
| "learning_rate": 3.624288222946273e-05, | |
| "loss": 0.3764, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10644161701202393, | |
| "step": 220, | |
| "valid_targets_mean": 6411.9, | |
| "valid_targets_min": 615 | |
| }, | |
| { | |
| "epoch": 1.4352, | |
| "grad_norm": 0.2261263393303569, | |
| "learning_rate": 3.597925402470578e-05, | |
| "loss": 0.3711, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10277056694030762, | |
| "step": 225, | |
| "valid_targets_mean": 5812.1, | |
| "valid_targets_min": 747 | |
| }, | |
| { | |
| "epoch": 1.4672, | |
| "grad_norm": 0.2081964197146565, | |
| "learning_rate": 3.570771595739445e-05, | |
| "loss": 0.3758, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0956193208694458, | |
| "step": 230, | |
| "valid_targets_mean": 6630.9, | |
| "valid_targets_min": 1951 | |
| }, | |
| { | |
| "epoch": 1.4992, | |
| "grad_norm": 0.2572240872801356, | |
| "learning_rate": 3.5428402441111964e-05, | |
| "loss": 0.374, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10277930647134781, | |
| "step": 235, | |
| "valid_targets_mean": 5665.6, | |
| "valid_targets_min": 946 | |
| }, | |
| { | |
| "epoch": 1.5312000000000001, | |
| "grad_norm": 0.2198363702134106, | |
| "learning_rate": 3.5141451738352936e-05, | |
| "loss": 0.3749, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07211177796125412, | |
| "step": 240, | |
| "valid_targets_mean": 4442.8, | |
| "valid_targets_min": 627 | |
| }, | |
| { | |
| "epoch": 1.5632000000000001, | |
| "grad_norm": 0.23165428741215732, | |
| "learning_rate": 3.4847005892082266e-05, | |
| "loss": 0.3733, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09441053122282028, | |
| "step": 245, | |
| "valid_targets_mean": 6673.9, | |
| "valid_targets_min": 1380 | |
| }, | |
| { | |
| "epoch": 1.5952, | |
| "grad_norm": 0.24688797409612753, | |
| "learning_rate": 3.454521065542273e-05, | |
| "loss": 0.3948, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09544113278388977, | |
| "step": 250, | |
| "valid_targets_mean": 6358.1, | |
| "valid_targets_min": 988 | |
| }, | |
| { | |
| "epoch": 1.6272, | |
| "grad_norm": 0.22463007550132932, | |
| "learning_rate": 3.423621541950597e-05, | |
| "loss": 0.3738, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07425335049629211, | |
| "step": 255, | |
| "valid_targets_mean": 5924.9, | |
| "valid_targets_min": 699 | |
| }, | |
| { | |
| "epoch": 1.6592, | |
| "grad_norm": 0.21528454307824493, | |
| "learning_rate": 3.3920173139522664e-05, | |
| "loss": 0.3689, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09151971340179443, | |
| "step": 260, | |
| "valid_targets_mean": 6274.9, | |
| "valid_targets_min": 840 | |
| }, | |
| { | |
| "epoch": 1.6912, | |
| "grad_norm": 0.2215410876562211, | |
| "learning_rate": 3.35972402590084e-05, | |
| "loss": 0.3695, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08906073123216629, | |
| "step": 265, | |
| "valid_targets_mean": 4970.8, | |
| "valid_targets_min": 717 | |
| }, | |
| { | |
| "epoch": 1.7231999999999998, | |
| "grad_norm": 0.2233444272815666, | |
| "learning_rate": 3.326757663240291e-05, | |
| "loss": 0.3625, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10551338642835617, | |
| "step": 270, | |
| "valid_targets_mean": 6200.3, | |
| "valid_targets_min": 834 | |
| }, | |
| { | |
| "epoch": 1.7551999999999999, | |
| "grad_norm": 0.22527865089628543, | |
| "learning_rate": 3.293134544592073e-05, | |
| "loss": 0.3594, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09910030663013458, | |
| "step": 275, | |
| "valid_targets_mean": 5179.2, | |
| "valid_targets_min": 1147 | |
| }, | |
| { | |
| "epoch": 1.7872, | |
| "grad_norm": 0.22964617053318398, | |
| "learning_rate": 3.258871313677274e-05, | |
| "loss": 0.3706, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10371363162994385, | |
| "step": 280, | |
| "valid_targets_mean": 6714.1, | |
| "valid_targets_min": 1588 | |
| }, | |
| { | |
| "epoch": 1.8192, | |
| "grad_norm": 0.232247066108661, | |
| "learning_rate": 3.2239849310778316e-05, | |
| "loss": 0.3658, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0978105291724205, | |
| "step": 285, | |
| "valid_targets_mean": 5761.8, | |
| "valid_targets_min": 994 | |
| }, | |
| { | |
| "epoch": 1.8512, | |
| "grad_norm": 0.21669192347183597, | |
| "learning_rate": 3.188492665840909e-05, | |
| "loss": 0.3701, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08539731800556183, | |
| "step": 290, | |
| "valid_targets_mean": 6083.4, | |
| "valid_targets_min": 672 | |
| }, | |
| { | |
| "epoch": 1.8832, | |
| "grad_norm": 0.22641603063104573, | |
| "learning_rate": 3.1524120869305726e-05, | |
| "loss": 0.3745, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09556318819522858, | |
| "step": 295, | |
| "valid_targets_mean": 5751.5, | |
| "valid_targets_min": 805 | |
| }, | |
| { | |
| "epoch": 1.9152, | |
| "grad_norm": 0.2377563867170581, | |
| "learning_rate": 3.11576105453101e-05, | |
| "loss": 0.3669, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1070186123251915, | |
| "step": 300, | |
| "valid_targets_mean": 6680.9, | |
| "valid_targets_min": 718 | |
| }, | |
| { | |
| "epoch": 1.9472, | |
| "grad_norm": 0.22531794652697687, | |
| "learning_rate": 3.0785577112055916e-05, | |
| "loss": 0.3658, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08206994831562042, | |
| "step": 305, | |
| "valid_targets_mean": 5516.9, | |
| "valid_targets_min": 605 | |
| }, | |
| { | |
| "epoch": 1.9792, | |
| "grad_norm": 0.2527878693741202, | |
| "learning_rate": 3.040820472916153e-05, | |
| "loss": 0.3767, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08087100088596344, | |
| "step": 310, | |
| "valid_targets_mean": 4204.3, | |
| "valid_targets_min": 663 | |
| }, | |
| { | |
| "epoch": 2.0064, | |
| "grad_norm": 0.3321661624480813, | |
| "learning_rate": 3.002568019906939e-05, | |
| "loss": 0.373, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09289988875389099, | |
| "step": 315, | |
| "valid_targets_mean": 6363.2, | |
| "valid_targets_min": 1309 | |
| }, | |
| { | |
| "epoch": 2.0384, | |
| "grad_norm": 0.2189394760470412, | |
| "learning_rate": 2.963819287457733e-05, | |
| "loss": 0.3706, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10759694874286652, | |
| "step": 320, | |
| "valid_targets_mean": 6793.4, | |
| "valid_targets_min": 842 | |
| }, | |
| { | |
| "epoch": 2.0704, | |
| "grad_norm": 0.24277780562479134, | |
| "learning_rate": 2.924593456510733e-05, | |
| "loss": 0.3625, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10258517414331436, | |
| "step": 325, | |
| "valid_targets_mean": 7012.6, | |
| "valid_targets_min": 962 | |
| }, | |
| { | |
| "epoch": 2.1024, | |
| "grad_norm": 0.21815774052393153, | |
| "learning_rate": 2.8849099441758306e-05, | |
| "loss": 0.3534, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07705284655094147, | |
| "step": 330, | |
| "valid_targets_mean": 6053.9, | |
| "valid_targets_min": 631 | |
| }, | |
| { | |
| "epoch": 2.1344, | |
| "grad_norm": 0.23358579698798576, | |
| "learning_rate": 2.844788394118979e-05, | |
| "loss": 0.3566, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07068303227424622, | |
| "step": 335, | |
| "valid_targets_mean": 4342.3, | |
| "valid_targets_min": 831 | |
| }, | |
| { | |
| "epoch": 2.1664, | |
| "grad_norm": 0.2293951107938635, | |
| "learning_rate": 2.8042486668384164e-05, | |
| "loss": 0.3581, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11601412296295166, | |
| "step": 340, | |
| "valid_targets_mean": 6150.0, | |
| "valid_targets_min": 798 | |
| }, | |
| { | |
| "epoch": 2.1984, | |
| "grad_norm": 0.22196286676468407, | |
| "learning_rate": 2.7633108298335582e-05, | |
| "loss": 0.3578, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07979711145162582, | |
| "step": 345, | |
| "valid_targets_mean": 6211.4, | |
| "valid_targets_min": 1315 | |
| }, | |
| { | |
| "epoch": 2.2304, | |
| "grad_norm": 0.23510132867860487, | |
| "learning_rate": 2.721995147671416e-05, | |
| "loss": 0.3584, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1026277244091034, | |
| "step": 350, | |
| "valid_targets_mean": 6624.2, | |
| "valid_targets_min": 773 | |
| }, | |
| { | |
| "epoch": 2.2624, | |
| "grad_norm": 0.2372214737574988, | |
| "learning_rate": 2.68032207195547e-05, | |
| "loss": 0.3574, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0727909654378891, | |
| "step": 355, | |
| "valid_targets_mean": 4593.9, | |
| "valid_targets_min": 779 | |
| }, | |
| { | |
| "epoch": 2.2944, | |
| "grad_norm": 0.2608354088589743, | |
| "learning_rate": 2.6383122312019604e-05, | |
| "loss": 0.3558, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08886592090129852, | |
| "step": 360, | |
| "valid_targets_mean": 5197.9, | |
| "valid_targets_min": 720 | |
| }, | |
| { | |
| "epoch": 2.3264, | |
| "grad_norm": 0.21824482003381773, | |
| "learning_rate": 2.595986420628597e-05, | |
| "loss": 0.3644, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08320988714694977, | |
| "step": 365, | |
| "valid_targets_mean": 5329.1, | |
| "valid_targets_min": 1164 | |
| }, | |
| { | |
| "epoch": 2.3584, | |
| "grad_norm": 0.21235422984856192, | |
| "learning_rate": 2.5533655918607573e-05, | |
| "loss": 0.3625, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09808023273944855, | |
| "step": 370, | |
| "valid_targets_mean": 6357.5, | |
| "valid_targets_min": 843 | |
| }, | |
| { | |
| "epoch": 2.3904, | |
| "grad_norm": 0.2106692959936181, | |
| "learning_rate": 2.510470842560259e-05, | |
| "loss": 0.3602, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09965196251869202, | |
| "step": 375, | |
| "valid_targets_mean": 6617.5, | |
| "valid_targets_min": 475 | |
| }, | |
| { | |
| "epoch": 2.4224, | |
| "grad_norm": 0.2304091700869004, | |
| "learning_rate": 2.467323405981841e-05, | |
| "loss": 0.3596, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0734720453619957, | |
| "step": 380, | |
| "valid_targets_mean": 4741.2, | |
| "valid_targets_min": 724 | |
| }, | |
| { | |
| "epoch": 2.4544, | |
| "grad_norm": 0.2267539238374325, | |
| "learning_rate": 2.423944640462533e-05, | |
| "loss": 0.3575, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11137191951274872, | |
| "step": 385, | |
| "valid_targets_mean": 6512.4, | |
| "valid_targets_min": 1490 | |
| }, | |
| { | |
| "epoch": 2.4864, | |
| "grad_norm": 0.22483470360256477, | |
| "learning_rate": 2.3803560188490968e-05, | |
| "loss": 0.3561, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0827735960483551, | |
| "step": 390, | |
| "valid_targets_mean": 5092.9, | |
| "valid_targets_min": 603 | |
| }, | |
| { | |
| "epoch": 2.5183999999999997, | |
| "grad_norm": 0.2338040760755172, | |
| "learning_rate": 2.336579117868789e-05, | |
| "loss": 0.3614, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09697049856185913, | |
| "step": 395, | |
| "valid_targets_mean": 6565.7, | |
| "valid_targets_min": 1146 | |
| }, | |
| { | |
| "epoch": 2.5504, | |
| "grad_norm": 0.21775737564680825, | |
| "learning_rate": 2.292635607448711e-05, | |
| "loss": 0.358, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.06826545298099518, | |
| "step": 400, | |
| "valid_targets_mean": 4616.6, | |
| "valid_targets_min": 484 | |
| }, | |
| { | |
| "epoch": 2.5824, | |
| "grad_norm": 0.2393125837673912, | |
| "learning_rate": 2.248547239989008e-05, | |
| "loss": 0.3638, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08487249910831451, | |
| "step": 405, | |
| "valid_targets_mean": 5329.2, | |
| "valid_targets_min": 589 | |
| }, | |
| { | |
| "epoch": 2.6144, | |
| "grad_norm": 0.22489897682687407, | |
| "learning_rate": 2.204335839595255e-05, | |
| "loss": 0.3619, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07958868145942688, | |
| "step": 410, | |
| "valid_targets_mean": 4936.8, | |
| "valid_targets_min": 861 | |
| }, | |
| { | |
| "epoch": 2.6464, | |
| "grad_norm": 0.2286817452241084, | |
| "learning_rate": 2.1600232912753452e-05, | |
| "loss": 0.3605, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08212600648403168, | |
| "step": 415, | |
| "valid_targets_mean": 4606.9, | |
| "valid_targets_min": 615 | |
| }, | |
| { | |
| "epoch": 2.6784, | |
| "grad_norm": 0.22186777671536473, | |
| "learning_rate": 2.1156315301062293e-05, | |
| "loss": 0.3636, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08989620208740234, | |
| "step": 420, | |
| "valid_targets_mean": 5660.1, | |
| "valid_targets_min": 644 | |
| }, | |
| { | |
| "epoch": 2.7104, | |
| "grad_norm": 0.20696912539389964, | |
| "learning_rate": 2.0711825303758712e-05, | |
| "loss": 0.3633, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09872286021709442, | |
| "step": 425, | |
| "valid_targets_mean": 7214.3, | |
| "valid_targets_min": 920 | |
| }, | |
| { | |
| "epoch": 2.7424, | |
| "grad_norm": 0.2808341896352063, | |
| "learning_rate": 2.0266982947057962e-05, | |
| "loss": 0.3627, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1094541922211647, | |
| "step": 430, | |
| "valid_targets_mean": 5776.4, | |
| "valid_targets_min": 585 | |
| }, | |
| { | |
| "epoch": 2.7744, | |
| "grad_norm": 0.22116930433764978, | |
| "learning_rate": 1.9822008431596083e-05, | |
| "loss": 0.3491, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08739478141069412, | |
| "step": 435, | |
| "valid_targets_mean": 5458.2, | |
| "valid_targets_min": 619 | |
| }, | |
| { | |
| "epoch": 2.8064, | |
| "grad_norm": 0.1992825171622233, | |
| "learning_rate": 1.937712202342881e-05, | |
| "loss": 0.3513, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09611988812685013, | |
| "step": 440, | |
| "valid_targets_mean": 7524.6, | |
| "valid_targets_min": 997 | |
| }, | |
| { | |
| "epoch": 2.8384, | |
| "grad_norm": 0.2060388593577526, | |
| "learning_rate": 1.8932543944998037e-05, | |
| "loss": 0.3619, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.06781405955553055, | |
| "step": 445, | |
| "valid_targets_mean": 4123.4, | |
| "valid_targets_min": 972 | |
| }, | |
| { | |
| "epoch": 2.8704, | |
| "grad_norm": 0.23527602817119048, | |
| "learning_rate": 1.8488494266119877e-05, | |
| "loss": 0.3566, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0758148729801178, | |
| "step": 450, | |
| "valid_targets_mean": 4773.1, | |
| "valid_targets_min": 535 | |
| }, | |
| { | |
| "epoch": 2.9024, | |
| "grad_norm": 0.22860261154505498, | |
| "learning_rate": 1.804519279504834e-05, | |
| "loss": 0.346, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09533117711544037, | |
| "step": 455, | |
| "valid_targets_mean": 4987.8, | |
| "valid_targets_min": 956 | |
| }, | |
| { | |
| "epoch": 2.9344, | |
| "grad_norm": 0.2334098694639875, | |
| "learning_rate": 1.7602858969668365e-05, | |
| "loss": 0.3542, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09452962875366211, | |
| "step": 460, | |
| "valid_targets_mean": 5574.0, | |
| "valid_targets_min": 494 | |
| }, | |
| { | |
| "epoch": 2.9664, | |
| "grad_norm": 0.2126977051969965, | |
| "learning_rate": 1.716171174887231e-05, | |
| "loss": 0.3512, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08022388070821762, | |
| "step": 465, | |
| "valid_targets_mean": 6034.9, | |
| "valid_targets_min": 783 | |
| }, | |
| { | |
| "epoch": 2.9984, | |
| "grad_norm": 0.22120679343053806, | |
| "learning_rate": 1.6721969504173484e-05, | |
| "loss": 0.362, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0962652713060379, | |
| "step": 470, | |
| "valid_targets_mean": 5085.6, | |
| "valid_targets_min": 924 | |
| }, | |
| { | |
| "epoch": 3.0256, | |
| "grad_norm": 0.20297765680380747, | |
| "learning_rate": 1.628384991161041e-05, | |
| "loss": 0.3577, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10209856182336807, | |
| "step": 475, | |
| "valid_targets_mean": 7576.9, | |
| "valid_targets_min": 2449 | |
| }, | |
| { | |
| "epoch": 3.0576, | |
| "grad_norm": 0.2434909996765562, | |
| "learning_rate": 1.5847569843995452e-05, | |
| "loss": 0.3594, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09686852991580963, | |
| "step": 480, | |
| "valid_targets_mean": 6337.4, | |
| "valid_targets_min": 597 | |
| }, | |
| { | |
| "epoch": 3.0896, | |
| "grad_norm": 0.20464777567438086, | |
| "learning_rate": 1.5413345263560922e-05, | |
| "loss": 0.3447, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08646319061517715, | |
| "step": 485, | |
| "valid_targets_mean": 6353.4, | |
| "valid_targets_min": 839 | |
| }, | |
| { | |
| "epoch": 3.1216, | |
| "grad_norm": 0.25498885027205, | |
| "learning_rate": 1.4981391115056032e-05, | |
| "loss": 0.359, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10151713341474533, | |
| "step": 490, | |
| "valid_targets_mean": 6548.2, | |
| "valid_targets_min": 560 | |
| }, | |
| { | |
| "epoch": 3.1536, | |
| "grad_norm": 0.22005098708946666, | |
| "learning_rate": 1.455192121934748e-05, | |
| "loss": 0.3574, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0828465074300766, | |
| "step": 495, | |
| "valid_targets_mean": 5273.4, | |
| "valid_targets_min": 926 | |
| }, | |
| { | |
| "epoch": 3.1856, | |
| "grad_norm": 0.20776545841167376, | |
| "learning_rate": 1.4125148167576303e-05, | |
| "loss": 0.3557, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08530064672231674, | |
| "step": 500, | |
| "valid_targets_mean": 5513.8, | |
| "valid_targets_min": 761 | |
| }, | |
| { | |
| "epoch": 3.2176, | |
| "grad_norm": 0.2075592694245999, | |
| "learning_rate": 1.3701283215923563e-05, | |
| "loss": 0.3531, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09321903437376022, | |
| "step": 505, | |
| "valid_targets_mean": 6665.9, | |
| "valid_targets_min": 610 | |
| }, | |
| { | |
| "epoch": 3.2496, | |
| "grad_norm": 0.22448009174393752, | |
| "learning_rate": 1.328053618103677e-05, | |
| "loss": 0.3507, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08991958945989609, | |
| "step": 510, | |
| "valid_targets_mean": 6045.4, | |
| "valid_targets_min": 580 | |
| }, | |
| { | |
| "epoch": 3.2816, | |
| "grad_norm": 0.21921091363267778, | |
| "learning_rate": 1.2863115336168916e-05, | |
| "loss": 0.3525, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09069504588842392, | |
| "step": 515, | |
| "valid_targets_mean": 5085.8, | |
| "valid_targets_min": 724 | |
| }, | |
| { | |
| "epoch": 3.3136, | |
| "grad_norm": 0.20133283928290419, | |
| "learning_rate": 1.2449227308081509e-05, | |
| "loss": 0.3582, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10287865251302719, | |
| "step": 520, | |
| "valid_targets_mean": 7327.9, | |
| "valid_targets_min": 1160 | |
| }, | |
| { | |
| "epoch": 3.3456, | |
| "grad_norm": 0.21835206878527572, | |
| "learning_rate": 1.2039076974762587e-05, | |
| "loss": 0.3409, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08309683203697205, | |
| "step": 525, | |
| "valid_targets_mean": 4695.1, | |
| "valid_targets_min": 617 | |
| }, | |
| { | |
| "epoch": 3.3776, | |
| "grad_norm": 0.20615396657777202, | |
| "learning_rate": 1.163286736401044e-05, | |
| "loss": 0.3429, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08827657997608185, | |
| "step": 530, | |
| "valid_targets_mean": 6441.4, | |
| "valid_targets_min": 607 | |
| }, | |
| { | |
| "epoch": 3.4096, | |
| "grad_norm": 0.21951971461105507, | |
| "learning_rate": 1.123079955293322e-05, | |
| "loss": 0.3517, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09069855511188507, | |
| "step": 535, | |
| "valid_targets_mean": 5660.6, | |
| "valid_targets_min": 760 | |
| }, | |
| { | |
| "epoch": 3.4416, | |
| "grad_norm": 0.2155460726831645, | |
| "learning_rate": 1.0833072568414037e-05, | |
| "loss": 0.3528, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0846237763762474, | |
| "step": 540, | |
| "valid_targets_mean": 7381.5, | |
| "valid_targets_min": 855 | |
| }, | |
| { | |
| "epoch": 3.4736000000000002, | |
| "grad_norm": 0.3203715725671402, | |
| "learning_rate": 1.0439883288591057e-05, | |
| "loss": 0.3421, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08102697879076004, | |
| "step": 545, | |
| "valid_targets_mean": 4708.5, | |
| "valid_targets_min": 631 | |
| }, | |
| { | |
| "epoch": 3.5056000000000003, | |
| "grad_norm": 0.23643506317896415, | |
| "learning_rate": 1.0051426345401202e-05, | |
| "loss": 0.352, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09795521199703217, | |
| "step": 550, | |
| "valid_targets_mean": 5957.8, | |
| "valid_targets_min": 1062 | |
| }, | |
| { | |
| "epoch": 3.5376, | |
| "grad_norm": 0.2088244497904259, | |
| "learning_rate": 9.667894028235704e-06, | |
| "loss": 0.3516, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08050885051488876, | |
| "step": 555, | |
| "valid_targets_mean": 5044.3, | |
| "valid_targets_min": 787 | |
| }, | |
| { | |
| "epoch": 3.5696, | |
| "grad_norm": 0.23242692183503894, | |
| "learning_rate": 9.289476188755315e-06, | |
| "loss": 0.3581, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1041894406080246, | |
| "step": 560, | |
| "valid_targets_mean": 6474.5, | |
| "valid_targets_min": 544 | |
| }, | |
| { | |
| "epoch": 3.6016, | |
| "grad_norm": 0.22834355253798397, | |
| "learning_rate": 8.916360146912122e-06, | |
| "loss": 0.347, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08437982946634293, | |
| "step": 565, | |
| "valid_targets_mean": 5337.5, | |
| "valid_targets_min": 762 | |
| }, | |
| { | |
| "epoch": 3.6336, | |
| "grad_norm": 0.20698633953021922, | |
| "learning_rate": 8.548730598224646e-06, | |
| "loss": 0.3504, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09090393036603928, | |
| "step": 570, | |
| "valid_targets_mean": 5707.0, | |
| "valid_targets_min": 627 | |
| }, | |
| { | |
| "epoch": 3.6656, | |
| "grad_norm": 0.23868065924047968, | |
| "learning_rate": 8.186769522352053e-06, | |
| "loss": 0.3501, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11131159961223602, | |
| "step": 575, | |
| "valid_targets_mean": 6219.8, | |
| "valid_targets_min": 1551 | |
| }, | |
| { | |
| "epoch": 3.6976, | |
| "grad_norm": 0.21713561340423976, | |
| "learning_rate": 7.830656093012714e-06, | |
| "loss": 0.3537, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07572489976882935, | |
| "step": 580, | |
| "valid_targets_mean": 5110.4, | |
| "valid_targets_min": 965 | |
| }, | |
| { | |
| "epoch": 3.7296, | |
| "grad_norm": 0.23258151301582297, | |
| "learning_rate": 7.480566589291696e-06, | |
| "loss": 0.3504, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09515802562236786, | |
| "step": 585, | |
| "valid_targets_mean": 5831.9, | |
| "valid_targets_min": 748 | |
| }, | |
| { | |
| "epoch": 3.7616, | |
| "grad_norm": 0.19344225479499663, | |
| "learning_rate": 7.1366743083812285e-06, | |
| "loss": 0.3365, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08368784189224243, | |
| "step": 590, | |
| "valid_targets_mean": 6252.3, | |
| "valid_targets_min": 949 | |
| }, | |
| { | |
| "epoch": 3.7936, | |
| "grad_norm": 0.20236324899655156, | |
| "learning_rate": 6.799149479797101e-06, | |
| "loss": 0.3523, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.077367402613163, | |
| "step": 595, | |
| "valid_targets_mean": 5667.1, | |
| "valid_targets_min": 1145 | |
| }, | |
| { | |
| "epoch": 3.8256, | |
| "grad_norm": 0.21389585445053377, | |
| "learning_rate": 6.4681591811137e-06, | |
| "loss": 0.3525, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.06701831519603729, | |
| "step": 600, | |
| "valid_targets_mean": 4404.4, | |
| "valid_targets_min": 673 | |
| }, | |
| { | |
| "epoch": 3.8576, | |
| "grad_norm": 0.2141988047027784, | |
| "learning_rate": 6.143867255259197e-06, | |
| "loss": 0.3474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07725034654140472, | |
| "step": 605, | |
| "valid_targets_mean": 4666.8, | |
| "valid_targets_min": 672 | |
| }, | |
| { | |
| "epoch": 3.8895999999999997, | |
| "grad_norm": 0.21788436045315057, | |
| "learning_rate": 5.8264342294119504e-06, | |
| "loss": 0.3626, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09653319418430328, | |
| "step": 610, | |
| "valid_targets_mean": 6227.8, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 3.9215999999999998, | |
| "grad_norm": 0.20712703833581173, | |
| "learning_rate": 5.516017235538258e-06, | |
| "loss": 0.3465, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08920042216777802, | |
| "step": 615, | |
| "valid_targets_mean": 6852.4, | |
| "valid_targets_min": 841 | |
| }, | |
| { | |
| "epoch": 3.9536, | |
| "grad_norm": 0.24995952943643207, | |
| "learning_rate": 5.212769932610695e-06, | |
| "loss": 0.3469, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09743104875087738, | |
| "step": 620, | |
| "valid_targets_mean": 6217.0, | |
| "valid_targets_min": 1621 | |
| }, | |
| { | |
| "epoch": 3.9856, | |
| "grad_norm": 0.2159433390377831, | |
| "learning_rate": 4.916842430545681e-06, | |
| "loss": 0.3435, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09399717301130295, | |
| "step": 625, | |
| "valid_targets_mean": 6170.4, | |
| "valid_targets_min": 996 | |
| }, | |
| { | |
| "epoch": 4.0128, | |
| "grad_norm": 0.2179842780291344, | |
| "learning_rate": 4.628381215897837e-06, | |
| "loss": 0.3413, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08746038377285004, | |
| "step": 630, | |
| "valid_targets_mean": 5678.9, | |
| "valid_targets_min": 1098 | |
| }, | |
| { | |
| "epoch": 4.0448, | |
| "grad_norm": 0.21661284326001473, | |
| "learning_rate": 4.347529079347914e-06, | |
| "loss": 0.3484, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09619256854057312, | |
| "step": 635, | |
| "valid_targets_mean": 5427.3, | |
| "valid_targets_min": 610 | |
| }, | |
| { | |
| "epoch": 4.0768, | |
| "grad_norm": 0.21233039859449135, | |
| "learning_rate": 4.074425045020247e-06, | |
| "loss": 0.3497, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09747956693172455, | |
| "step": 640, | |
| "valid_targets_mean": 6232.0, | |
| "valid_targets_min": 1075 | |
| }, | |
| { | |
| "epoch": 4.1088, | |
| "grad_norm": 0.22408424913647904, | |
| "learning_rate": 3.8092043016646487e-06, | |
| "loss": 0.3436, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0862206369638443, | |
| "step": 645, | |
| "valid_targets_mean": 5968.9, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 4.1408, | |
| "grad_norm": 0.20534852988524022, | |
| "learning_rate": 3.551998135736867e-06, | |
| "loss": 0.3407, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.06521781533956528, | |
| "step": 650, | |
| "valid_targets_mean": 4388.8, | |
| "valid_targets_min": 524 | |
| }, | |
| { | |
| "epoch": 4.1728, | |
| "grad_norm": 0.2239744906665863, | |
| "learning_rate": 3.3029338664107267e-06, | |
| "loss": 0.3464, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10012225806713104, | |
| "step": 655, | |
| "valid_targets_mean": 6456.8, | |
| "valid_targets_min": 1832 | |
| }, | |
| { | |
| "epoch": 4.2048, | |
| "grad_norm": 0.22249692849502337, | |
| "learning_rate": 3.0621347825540625e-06, | |
| "loss": 0.3477, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07816874235868454, | |
| "step": 660, | |
| "valid_targets_mean": 4665.2, | |
| "valid_targets_min": 900 | |
| }, | |
| { | |
| "epoch": 4.2368, | |
| "grad_norm": 0.21634894492727133, | |
| "learning_rate": 2.8297200816997183e-06, | |
| "loss": 0.35, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08766955137252808, | |
| "step": 665, | |
| "valid_targets_mean": 5389.8, | |
| "valid_targets_min": 689 | |
| }, | |
| { | |
| "epoch": 4.2688, | |
| "grad_norm": 0.21888160573451695, | |
| "learning_rate": 2.605804811041803e-06, | |
| "loss": 0.3422, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07027369737625122, | |
| "step": 670, | |
| "valid_targets_mean": 4378.2, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 4.3008, | |
| "grad_norm": 0.2201626385970148, | |
| "learning_rate": 2.390499810486351e-06, | |
| "loss": 0.3329, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10017628222703934, | |
| "step": 675, | |
| "valid_targets_mean": 6495.4, | |
| "valid_targets_min": 814 | |
| }, | |
| { | |
| "epoch": 4.3328, | |
| "grad_norm": 0.19188368547158766, | |
| "learning_rate": 2.183911657784685e-06, | |
| "loss": 0.3474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0863613709807396, | |
| "step": 680, | |
| "valid_targets_mean": 6659.5, | |
| "valid_targets_min": 667 | |
| }, | |
| { | |
| "epoch": 4.3648, | |
| "grad_norm": 0.21926521201305976, | |
| "learning_rate": 1.986142615776532e-06, | |
| "loss": 0.3479, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07919745147228241, | |
| "step": 685, | |
| "valid_targets_mean": 4461.8, | |
| "valid_targets_min": 810 | |
| }, | |
| { | |
| "epoch": 4.3968, | |
| "grad_norm": 0.2118446211857856, | |
| "learning_rate": 1.7972905817690644e-06, | |
| "loss": 0.3497, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09431198239326477, | |
| "step": 690, | |
| "valid_targets_mean": 6019.9, | |
| "valid_targets_min": 562 | |
| }, | |
| { | |
| "epoch": 4.4288, | |
| "grad_norm": 0.21603812442782785, | |
| "learning_rate": 1.617449039076955e-06, | |
| "loss": 0.3498, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10296124219894409, | |
| "step": 695, | |
| "valid_targets_mean": 5586.2, | |
| "valid_targets_min": 697 | |
| }, | |
| { | |
| "epoch": 4.4608, | |
| "grad_norm": 0.21210949288960076, | |
| "learning_rate": 1.4467070107473413e-06, | |
| "loss": 0.3519, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07699444890022278, | |
| "step": 700, | |
| "valid_targets_mean": 4835.4, | |
| "valid_targets_min": 693 | |
| }, | |
| { | |
| "epoch": 4.4928, | |
| "grad_norm": 0.19395198845710182, | |
| "learning_rate": 1.2851490154926816e-06, | |
| "loss": 0.3417, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09297066181898117, | |
| "step": 705, | |
| "valid_targets_mean": 6489.8, | |
| "valid_targets_min": 989 | |
| }, | |
| { | |
| "epoch": 4.5248, | |
| "grad_norm": 0.21037156758299613, | |
| "learning_rate": 1.1328550258533211e-06, | |
| "loss": 0.3498, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10028454661369324, | |
| "step": 710, | |
| "valid_targets_mean": 6283.6, | |
| "valid_targets_min": 832 | |
| }, | |
| { | |
| "epoch": 4.5568, | |
| "grad_norm": 0.2078678569930235, | |
| "learning_rate": 9.899004286103953e-07, | |
| "loss": 0.3533, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1038275957107544, | |
| "step": 715, | |
| "valid_targets_mean": 6109.6, | |
| "valid_targets_min": 960 | |
| }, | |
| { | |
| "epoch": 4.5888, | |
| "grad_norm": 0.1913071283342328, | |
| "learning_rate": 8.5635598746876e-07, | |
| "loss": 0.3428, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07966470718383789, | |
| "step": 720, | |
| "valid_targets_mean": 5774.0, | |
| "valid_targets_min": 1182 | |
| }, | |
| { | |
| "epoch": 4.6208, | |
| "grad_norm": 0.2056466084178444, | |
| "learning_rate": 7.32287808028389e-07, | |
| "loss": 0.3541, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09945742785930634, | |
| "step": 725, | |
| "valid_targets_mean": 6061.4, | |
| "valid_targets_min": 1024 | |
| }, | |
| { | |
| "epoch": 4.6528, | |
| "grad_norm": 0.20355768534921426, | |
| "learning_rate": 6.177573050615327e-07, | |
| "loss": 0.3416, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07647189497947693, | |
| "step": 730, | |
| "valid_targets_mean": 5401.0, | |
| "valid_targets_min": 627 | |
| }, | |
| { | |
| "epoch": 4.6848, | |
| "grad_norm": 0.2971494219736067, | |
| "learning_rate": 5.128211721119213e-07, | |
| "loss": 0.344, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09119421243667603, | |
| "step": 735, | |
| "valid_targets_mean": 5738.6, | |
| "valid_targets_min": 1019 | |
| }, | |
| { | |
| "epoch": 4.7168, | |
| "grad_norm": 0.20448301721560436, | |
| "learning_rate": 4.175313534309755e-07, | |
| "loss": 0.3447, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08554182946681976, | |
| "step": 740, | |
| "valid_targets_mean": 5514.2, | |
| "valid_targets_min": 719 | |
| }, | |
| { | |
| "epoch": 4.7488, | |
| "grad_norm": 0.19162795078979308, | |
| "learning_rate": 3.319350182649861e-07, | |
| "loss": 0.3519, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08787985146045685, | |
| "step": 745, | |
| "valid_targets_mean": 6579.6, | |
| "valid_targets_min": 1813 | |
| }, | |
| { | |
| "epoch": 4.7808, | |
| "grad_norm": 0.2000345137923447, | |
| "learning_rate": 2.560745375059392e-07, | |
| "loss": 0.3456, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0857427567243576, | |
| "step": 750, | |
| "valid_targets_mean": 5970.8, | |
| "valid_targets_min": 747 | |
| }, | |
| { | |
| "epoch": 4.8128, | |
| "grad_norm": 0.20046177963962433, | |
| "learning_rate": 1.8998746271758016e-07, | |
| "loss": 0.3435, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.08476918935775757, | |
| "step": 755, | |
| "valid_targets_mean": 6556.9, | |
| "valid_targets_min": 580 | |
| }, | |
| { | |
| "epoch": 4.8448, | |
| "grad_norm": 0.2138261530657323, | |
| "learning_rate": 1.337065075470778e-07, | |
| "loss": 0.3484, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.07367642223834991, | |
| "step": 760, | |
| "valid_targets_mean": 4413.4, | |
| "valid_targets_min": 762 | |
| }, | |
| { | |
| "epoch": 4.8768, | |
| "grad_norm": 0.1963797355809849, | |
| "learning_rate": 8.725953153150279e-08, | |
| "loss": 0.3561, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09871198236942291, | |
| "step": 765, | |
| "valid_targets_mean": 6162.2, | |
| "valid_targets_min": 1315 | |
| }, | |
| { | |
| "epoch": 4.9088, | |
| "grad_norm": 0.29758135156186083, | |
| "learning_rate": 5.066952630711886e-08, | |
| "loss": 0.345, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.09883379936218262, | |
| "step": 770, | |
| "valid_targets_mean": 5996.9, | |
| "valid_targets_min": 668 | |
| }, | |
| { | |
| "epoch": 4.9408, | |
| "grad_norm": 0.19673112260685463, | |
| "learning_rate": 2.3954604228342283e-08, | |
| "loss": 0.3453, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10000074654817581, | |
| "step": 775, | |
| "valid_targets_mean": 6430.5, | |
| "valid_targets_min": 1007 | |
| }, | |
| { | |
| "epoch": 4.9728, | |
| "grad_norm": 0.2093787903918503, | |
| "learning_rate": 7.12798940197601e-09, | |
| "loss": 0.3602, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.0803316980600357, | |
| "step": 780, | |
| "valid_targets_mean": 4864.9, | |
| "valid_targets_min": 580 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.3831034791262974, | |
| "learning_rate": 1.9801114115480802e-10, | |
| "loss": 0.3457, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34229332208633423, | |
| "step": 785, | |
| "valid_targets_mean": 5900.6, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34229332208633423, | |
| "step": 785, | |
| "total_flos": 1.880116230107431e+18, | |
| "train_loss": 0.3771306716712417, | |
| "train_runtime": 24435.7738, | |
| "train_samples_per_second": 2.046, | |
| "train_steps_per_second": 0.032, | |
| "valid_targets_mean": 5900.6, | |
| "valid_targets_min": 645 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 785, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": false, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.880116230107431e+18, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |