| { | |
| "best_metric": 2.0125675201416016, | |
| "best_model_checkpoint": "/home/datta0/models/lora_final/Qwen2-7B_pct_reverse/checkpoint-8", | |
| "epoch": 0.9996779388083736, | |
| "eval_steps": 8, | |
| "global_step": 388, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0025764895330112722, | |
| "grad_norm": 5.605652332305908, | |
| "learning_rate": 3.75e-05, | |
| "loss": 2.0287, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.010305958132045089, | |
| "grad_norm": 3.3669660091400146, | |
| "learning_rate": 0.00015, | |
| "loss": 2.1016, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.020611916264090178, | |
| "grad_norm": 3.2068347930908203, | |
| "learning_rate": 0.0003, | |
| "loss": 2.1146, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.020611916264090178, | |
| "eval_loss": 2.0125675201416016, | |
| "eval_runtime": 10.2437, | |
| "eval_samples_per_second": 23.917, | |
| "eval_steps_per_second": 3.026, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.030917874396135265, | |
| "grad_norm": 4.330184459686279, | |
| "learning_rate": 0.0002999179886011389, | |
| "loss": 2.0531, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.041223832528180356, | |
| "grad_norm": 3.5907206535339355, | |
| "learning_rate": 0.00029967204408281613, | |
| "loss": 2.1241, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.041223832528180356, | |
| "eval_loss": 2.0399129390716553, | |
| "eval_runtime": 10.2349, | |
| "eval_samples_per_second": 23.938, | |
| "eval_steps_per_second": 3.029, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.05152979066022544, | |
| "grad_norm": 4.796765327453613, | |
| "learning_rate": 0.0002992624353817517, | |
| "loss": 2.0772, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06183574879227053, | |
| "grad_norm": 5.596073627471924, | |
| "learning_rate": 0.00029868961039904624, | |
| "loss": 2.1297, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.06183574879227053, | |
| "eval_loss": 2.0522220134735107, | |
| "eval_runtime": 10.2415, | |
| "eval_samples_per_second": 23.922, | |
| "eval_steps_per_second": 3.027, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.07214170692431562, | |
| "grad_norm": 4.186759948730469, | |
| "learning_rate": 0.00029795419551040833, | |
| "loss": 2.1422, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.08244766505636071, | |
| "grad_norm": 3.64916729927063, | |
| "learning_rate": 0.0002970569948812214, | |
| "loss": 2.0751, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.08244766505636071, | |
| "eval_loss": 2.0552845001220703, | |
| "eval_runtime": 10.2352, | |
| "eval_samples_per_second": 23.937, | |
| "eval_steps_per_second": 3.029, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.0927536231884058, | |
| "grad_norm": 3.8289270401000977, | |
| "learning_rate": 0.0002959989895872009, | |
| "loss": 2.1251, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.10305958132045089, | |
| "grad_norm": 2.9287831783294678, | |
| "learning_rate": 0.0002947813365416023, | |
| "loss": 2.1182, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.10305958132045089, | |
| "eval_loss": 2.06056547164917, | |
| "eval_runtime": 10.2327, | |
| "eval_samples_per_second": 23.943, | |
| "eval_steps_per_second": 3.029, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.11336553945249597, | |
| "grad_norm": 2.9628751277923584, | |
| "learning_rate": 0.0002934053672301536, | |
| "loss": 2.06, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.12367149758454106, | |
| "grad_norm": 4.328015327453613, | |
| "learning_rate": 0.00029187258625509513, | |
| "loss": 2.1169, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.12367149758454106, | |
| "eval_loss": 2.0665557384490967, | |
| "eval_runtime": 10.2388, | |
| "eval_samples_per_second": 23.929, | |
| "eval_steps_per_second": 3.028, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.13397745571658615, | |
| "grad_norm": 3.2509281635284424, | |
| "learning_rate": 0.0002901846696899191, | |
| "loss": 2.084, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.14428341384863125, | |
| "grad_norm": 3.328118085861206, | |
| "learning_rate": 0.0002883434632466077, | |
| "loss": 2.1253, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.14428341384863125, | |
| "eval_loss": 2.0729715824127197, | |
| "eval_runtime": 10.2357, | |
| "eval_samples_per_second": 23.936, | |
| "eval_steps_per_second": 3.029, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.15458937198067632, | |
| "grad_norm": 3.165828227996826, | |
| "learning_rate": 0.00028635098025737434, | |
| "loss": 2.1193, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.16489533011272142, | |
| "grad_norm": 2.8887364864349365, | |
| "learning_rate": 0.0002842093994731145, | |
| "loss": 2.1136, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.16489533011272142, | |
| "eval_loss": 2.071445941925049, | |
| "eval_runtime": 10.2149, | |
| "eval_samples_per_second": 23.985, | |
| "eval_steps_per_second": 3.035, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.1752012882447665, | |
| "grad_norm": 2.8911757469177246, | |
| "learning_rate": 0.00028192106268097334, | |
| "loss": 2.1775, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.1855072463768116, | |
| "grad_norm": 4.058267116546631, | |
| "learning_rate": 0.0002794884721436361, | |
| "loss": 2.127, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.1855072463768116, | |
| "eval_loss": 2.083888292312622, | |
| "eval_runtime": 10.2223, | |
| "eval_samples_per_second": 23.967, | |
| "eval_steps_per_second": 3.033, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.19581320450885667, | |
| "grad_norm": 3.4438698291778564, | |
| "learning_rate": 0.0002769142878631403, | |
| "loss": 2.1427, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.20611916264090177, | |
| "grad_norm": 2.7667691707611084, | |
| "learning_rate": 0.000274201324672203, | |
| "loss": 2.1835, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.20611916264090177, | |
| "eval_loss": 2.080258369445801, | |
| "eval_runtime": 10.2065, | |
| "eval_samples_per_second": 24.004, | |
| "eval_steps_per_second": 3.037, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.21642512077294687, | |
| "grad_norm": 3.604095220565796, | |
| "learning_rate": 0.0002713525491562421, | |
| "loss": 2.2259, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.22673107890499195, | |
| "grad_norm": 3.442725896835327, | |
| "learning_rate": 0.00026837107640945905, | |
| "loss": 2.1556, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.22673107890499195, | |
| "eval_loss": 2.090332269668579, | |
| "eval_runtime": 10.1927, | |
| "eval_samples_per_second": 24.037, | |
| "eval_steps_per_second": 3.041, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.23703703703703705, | |
| "grad_norm": 2.6903796195983887, | |
| "learning_rate": 0.00026526016662852886, | |
| "loss": 2.1015, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.24734299516908212, | |
| "grad_norm": 3.1680166721343994, | |
| "learning_rate": 0.0002620232215476231, | |
| "loss": 2.1396, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.24734299516908212, | |
| "eval_loss": 2.0886850357055664, | |
| "eval_runtime": 10.1623, | |
| "eval_samples_per_second": 24.109, | |
| "eval_steps_per_second": 3.05, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.2576489533011272, | |
| "grad_norm": 2.664879560470581, | |
| "learning_rate": 0.00025866378071866334, | |
| "loss": 2.1838, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2679549114331723, | |
| "grad_norm": 3.213966131210327, | |
| "learning_rate": 0.00025518551764087326, | |
| "loss": 2.1656, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.2679549114331723, | |
| "eval_loss": 2.092794418334961, | |
| "eval_runtime": 10.1287, | |
| "eval_samples_per_second": 24.189, | |
| "eval_steps_per_second": 3.061, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.2782608695652174, | |
| "grad_norm": 3.1961517333984375, | |
| "learning_rate": 0.00025159223574386114, | |
| "loss": 2.1535, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 0.2885668276972625, | |
| "grad_norm": 2.4013512134552, | |
| "learning_rate": 0.00024788786422862526, | |
| "loss": 2.0821, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.2885668276972625, | |
| "eval_loss": 2.0880165100097656, | |
| "eval_runtime": 32.1246, | |
| "eval_samples_per_second": 7.627, | |
| "eval_steps_per_second": 0.965, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.29887278582930754, | |
| "grad_norm": 2.3859596252441406, | |
| "learning_rate": 0.00024407645377103054, | |
| "loss": 2.1672, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 0.30917874396135264, | |
| "grad_norm": 2.644300699234009, | |
| "learning_rate": 0.00024016217209245374, | |
| "loss": 2.1287, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.30917874396135264, | |
| "eval_loss": 2.092282772064209, | |
| "eval_runtime": 32.2089, | |
| "eval_samples_per_second": 7.607, | |
| "eval_steps_per_second": 0.962, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.31948470209339774, | |
| "grad_norm": 2.3782858848571777, | |
| "learning_rate": 0.0002361492994024415, | |
| "loss": 2.1545, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 0.32979066022544284, | |
| "grad_norm": 2.4614486694335938, | |
| "learning_rate": 0.00023204222371836405, | |
| "loss": 2.1298, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.32979066022544284, | |
| "eval_loss": 2.096928834915161, | |
| "eval_runtime": 32.3953, | |
| "eval_samples_per_second": 7.563, | |
| "eval_steps_per_second": 0.957, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.34009661835748795, | |
| "grad_norm": 2.94144606590271, | |
| "learning_rate": 0.00022784543606718227, | |
| "loss": 2.1464, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 0.350402576489533, | |
| "grad_norm": 2.5649967193603516, | |
| "learning_rate": 0.0002235635255745762, | |
| "loss": 2.1317, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.350402576489533, | |
| "eval_loss": 2.096112012863159, | |
| "eval_runtime": 32.6415, | |
| "eval_samples_per_second": 7.506, | |
| "eval_steps_per_second": 0.95, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.3607085346215781, | |
| "grad_norm": 2.5300047397613525, | |
| "learning_rate": 0.00021920117444680317, | |
| "loss": 2.107, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.3710144927536232, | |
| "grad_norm": 2.83783221244812, | |
| "learning_rate": 0.0002147631528507739, | |
| "loss": 2.1325, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.3710144927536232, | |
| "eval_loss": 2.0906081199645996, | |
| "eval_runtime": 32.902, | |
| "eval_samples_per_second": 7.446, | |
| "eval_steps_per_second": 0.942, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.3813204508856683, | |
| "grad_norm": 3.4615397453308105, | |
| "learning_rate": 0.0002102543136979454, | |
| "loss": 2.1376, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 0.39162640901771334, | |
| "grad_norm": 2.862887144088745, | |
| "learning_rate": 0.0002056795873377331, | |
| "loss": 2.1398, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.39162640901771334, | |
| "eval_loss": 2.090609312057495, | |
| "eval_runtime": 32.9273, | |
| "eval_samples_per_second": 7.441, | |
| "eval_steps_per_second": 0.941, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.40193236714975844, | |
| "grad_norm": 2.8273372650146484, | |
| "learning_rate": 0.00020104397616624645, | |
| "loss": 2.1514, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 0.41223832528180354, | |
| "grad_norm": 2.578927516937256, | |
| "learning_rate": 0.0001963525491562421, | |
| "loss": 2.1569, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.41223832528180354, | |
| "eval_loss": 2.088578701019287, | |
| "eval_runtime": 33.0266, | |
| "eval_samples_per_second": 7.418, | |
| "eval_steps_per_second": 0.939, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.42254428341384864, | |
| "grad_norm": 2.9263362884521484, | |
| "learning_rate": 0.00019161043631427666, | |
| "loss": 2.1761, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 0.43285024154589374, | |
| "grad_norm": 2.4806456565856934, | |
| "learning_rate": 0.00018682282307111987, | |
| "loss": 2.195, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.43285024154589374, | |
| "eval_loss": 2.086169481277466, | |
| "eval_runtime": 10.2506, | |
| "eval_samples_per_second": 23.901, | |
| "eval_steps_per_second": 3.024, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.4431561996779388, | |
| "grad_norm": 2.7219581604003906, | |
| "learning_rate": 0.00018199494461156203, | |
| "loss": 2.1314, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 0.4534621578099839, | |
| "grad_norm": 3.6275038719177246, | |
| "learning_rate": 0.00017713208014981648, | |
| "loss": 2.1038, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.4534621578099839, | |
| "eval_loss": 2.0899009704589844, | |
| "eval_runtime": 10.2299, | |
| "eval_samples_per_second": 23.949, | |
| "eval_steps_per_second": 3.03, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.463768115942029, | |
| "grad_norm": 3.646092176437378, | |
| "learning_rate": 0.00017223954715677627, | |
| "loss": 2.1985, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.4740740740740741, | |
| "grad_norm": 3.2789456844329834, | |
| "learning_rate": 0.00016732269554543794, | |
| "loss": 2.1159, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.4740740740740741, | |
| "eval_loss": 2.0844767093658447, | |
| "eval_runtime": 10.2405, | |
| "eval_samples_per_second": 23.924, | |
| "eval_steps_per_second": 3.027, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.48438003220611914, | |
| "grad_norm": 2.5345401763916016, | |
| "learning_rate": 0.00016238690182084986, | |
| "loss": 2.1215, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 0.49468599033816424, | |
| "grad_norm": 2.662414073944092, | |
| "learning_rate": 0.00015743756320098332, | |
| "loss": 2.1605, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.49468599033816424, | |
| "eval_loss": 2.080495595932007, | |
| "eval_runtime": 10.2407, | |
| "eval_samples_per_second": 23.924, | |
| "eval_steps_per_second": 3.027, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.5049919484702093, | |
| "grad_norm": 3.060046672821045, | |
| "learning_rate": 0.00015248009171495378, | |
| "loss": 2.0823, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 0.5152979066022544, | |
| "grad_norm": 2.4873805046081543, | |
| "learning_rate": 0.00014751990828504622, | |
| "loss": 2.0894, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5152979066022544, | |
| "eval_loss": 2.0765280723571777, | |
| "eval_runtime": 10.227, | |
| "eval_samples_per_second": 23.956, | |
| "eval_steps_per_second": 3.031, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5256038647342995, | |
| "grad_norm": 2.515195608139038, | |
| "learning_rate": 0.00014256243679901663, | |
| "loss": 2.1746, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 0.5359098228663446, | |
| "grad_norm": 2.422018051147461, | |
| "learning_rate": 0.00013761309817915014, | |
| "loss": 2.1368, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.5359098228663446, | |
| "eval_loss": 2.074774742126465, | |
| "eval_runtime": 10.2435, | |
| "eval_samples_per_second": 23.918, | |
| "eval_steps_per_second": 3.026, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.5462157809983897, | |
| "grad_norm": 2.5775578022003174, | |
| "learning_rate": 0.00013267730445456208, | |
| "loss": 2.1201, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 0.5565217391304348, | |
| "grad_norm": 2.872375249862671, | |
| "learning_rate": 0.00012776045284322368, | |
| "loss": 2.1626, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.5565217391304348, | |
| "eval_loss": 2.0714917182922363, | |
| "eval_runtime": 10.2294, | |
| "eval_samples_per_second": 23.951, | |
| "eval_steps_per_second": 3.03, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.5668276972624798, | |
| "grad_norm": 3.076042652130127, | |
| "learning_rate": 0.00012286791985018355, | |
| "loss": 2.1489, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.577133655394525, | |
| "grad_norm": 2.7333149909973145, | |
| "learning_rate": 0.00011800505538843798, | |
| "loss": 2.0765, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.577133655394525, | |
| "eval_loss": 2.0629920959472656, | |
| "eval_runtime": 10.2284, | |
| "eval_samples_per_second": 23.953, | |
| "eval_steps_per_second": 3.031, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.58743961352657, | |
| "grad_norm": 2.5191431045532227, | |
| "learning_rate": 0.00011317717692888012, | |
| "loss": 2.1448, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 0.5977455716586151, | |
| "grad_norm": 2.869346857070923, | |
| "learning_rate": 0.00010838956368572334, | |
| "loss": 2.0879, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.5977455716586151, | |
| "eval_loss": 2.0677056312561035, | |
| "eval_runtime": 10.2216, | |
| "eval_samples_per_second": 23.969, | |
| "eval_steps_per_second": 3.033, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.6080515297906602, | |
| "grad_norm": 2.3626813888549805, | |
| "learning_rate": 0.0001036474508437579, | |
| "loss": 2.1169, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 0.6183574879227053, | |
| "grad_norm": 2.478994369506836, | |
| "learning_rate": 9.895602383375353e-05, | |
| "loss": 2.0851, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6183574879227053, | |
| "eval_loss": 2.0554275512695312, | |
| "eval_runtime": 10.1901, | |
| "eval_samples_per_second": 24.043, | |
| "eval_steps_per_second": 3.042, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6286634460547504, | |
| "grad_norm": 2.3692219257354736, | |
| "learning_rate": 9.432041266226686e-05, | |
| "loss": 2.0926, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 0.6389694041867955, | |
| "grad_norm": 2.496814012527466, | |
| "learning_rate": 8.97456863020546e-05, | |
| "loss": 2.0731, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 0.6389694041867955, | |
| "eval_loss": 2.054917812347412, | |
| "eval_runtime": 10.1928, | |
| "eval_samples_per_second": 24.037, | |
| "eval_steps_per_second": 3.041, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 0.6492753623188405, | |
| "grad_norm": 2.299753427505493, | |
| "learning_rate": 8.523684714922608e-05, | |
| "loss": 2.0903, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 0.6595813204508857, | |
| "grad_norm": 2.7625904083251953, | |
| "learning_rate": 8.079882555319684e-05, | |
| "loss": 2.113, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 0.6595813204508857, | |
| "eval_loss": 2.0516955852508545, | |
| "eval_runtime": 10.1568, | |
| "eval_samples_per_second": 24.122, | |
| "eval_steps_per_second": 3.052, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 0.6698872785829307, | |
| "grad_norm": 2.4187095165252686, | |
| "learning_rate": 7.643647442542382e-05, | |
| "loss": 2.1152, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.6801932367149759, | |
| "grad_norm": 2.1766324043273926, | |
| "learning_rate": 7.215456393281776e-05, | |
| "loss": 2.0796, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 0.6801932367149759, | |
| "eval_loss": 2.0484488010406494, | |
| "eval_runtime": 10.1383, | |
| "eval_samples_per_second": 24.166, | |
| "eval_steps_per_second": 3.058, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 0.6904991948470209, | |
| "grad_norm": 2.2651991844177246, | |
| "learning_rate": 6.795777628163599e-05, | |
| "loss": 2.1202, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 0.700805152979066, | |
| "grad_norm": 1.8196227550506592, | |
| "learning_rate": 6.385070059755846e-05, | |
| "loss": 2.1406, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 0.700805152979066, | |
| "eval_loss": 2.0456597805023193, | |
| "eval_runtime": 32.4805, | |
| "eval_samples_per_second": 7.543, | |
| "eval_steps_per_second": 0.954, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 0.7111111111111111, | |
| "grad_norm": 2.1418817043304443, | |
| "learning_rate": 5.983782790754623e-05, | |
| "loss": 2.0593, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 0.7214170692431562, | |
| "grad_norm": 2.5641324520111084, | |
| "learning_rate": 5.592354622896944e-05, | |
| "loss": 2.0454, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7214170692431562, | |
| "eval_loss": 2.042100667953491, | |
| "eval_runtime": 32.5534, | |
| "eval_samples_per_second": 7.526, | |
| "eval_steps_per_second": 0.952, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7317230273752013, | |
| "grad_norm": 2.242624282836914, | |
| "learning_rate": 5.211213577137469e-05, | |
| "loss": 2.1192, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 0.7420289855072464, | |
| "grad_norm": 2.441951274871826, | |
| "learning_rate": 4.840776425613886e-05, | |
| "loss": 2.1278, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 0.7420289855072464, | |
| "eval_loss": 2.037829637527466, | |
| "eval_runtime": 32.37, | |
| "eval_samples_per_second": 7.569, | |
| "eval_steps_per_second": 0.958, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 0.7523349436392914, | |
| "grad_norm": 2.0311145782470703, | |
| "learning_rate": 4.481448235912671e-05, | |
| "loss": 2.1032, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 0.7626409017713366, | |
| "grad_norm": 2.180769205093384, | |
| "learning_rate": 4.133621928133665e-05, | |
| "loss": 2.0616, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 0.7626409017713366, | |
| "eval_loss": 2.035311222076416, | |
| "eval_runtime": 32.434, | |
| "eval_samples_per_second": 7.554, | |
| "eval_steps_per_second": 0.956, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 0.7729468599033816, | |
| "grad_norm": 2.1823863983154297, | |
| "learning_rate": 3.797677845237696e-05, | |
| "loss": 2.1213, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7832528180354267, | |
| "grad_norm": 2.1388301849365234, | |
| "learning_rate": 3.473983337147118e-05, | |
| "loss": 2.0697, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 0.7832528180354267, | |
| "eval_loss": 2.033958673477173, | |
| "eval_runtime": 32.6119, | |
| "eval_samples_per_second": 7.513, | |
| "eval_steps_per_second": 0.951, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 0.7935587761674718, | |
| "grad_norm": 2.2005107402801514, | |
| "learning_rate": 3.162892359054098e-05, | |
| "loss": 2.029, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 0.8038647342995169, | |
| "grad_norm": 2.344057321548462, | |
| "learning_rate": 2.8647450843757897e-05, | |
| "loss": 2.0557, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.8038647342995169, | |
| "eval_loss": 2.029961585998535, | |
| "eval_runtime": 31.6467, | |
| "eval_samples_per_second": 7.742, | |
| "eval_steps_per_second": 0.98, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.814170692431562, | |
| "grad_norm": 2.2549006938934326, | |
| "learning_rate": 2.5798675327796993e-05, | |
| "loss": 2.085, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 0.8244766505636071, | |
| "grad_norm": 2.0386688709259033, | |
| "learning_rate": 2.3085712136859668e-05, | |
| "loss": 2.0954, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8244766505636071, | |
| "eval_loss": 2.030390501022339, | |
| "eval_runtime": 32.6796, | |
| "eval_samples_per_second": 7.497, | |
| "eval_steps_per_second": 0.949, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8347826086956521, | |
| "grad_norm": 1.9037587642669678, | |
| "learning_rate": 2.0511527856363912e-05, | |
| "loss": 2.114, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 0.8450885668276973, | |
| "grad_norm": 1.6996440887451172, | |
| "learning_rate": 1.8078937319026654e-05, | |
| "loss": 2.094, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 0.8450885668276973, | |
| "eval_loss": 2.0296928882598877, | |
| "eval_runtime": 10.2274, | |
| "eval_samples_per_second": 23.955, | |
| "eval_steps_per_second": 3.031, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 0.8553945249597423, | |
| "grad_norm": 2.2876534461975098, | |
| "learning_rate": 1.579060052688548e-05, | |
| "loss": 2.0518, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 0.8657004830917875, | |
| "grad_norm": 2.0373549461364746, | |
| "learning_rate": 1.3649019742625623e-05, | |
| "loss": 2.0539, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.8657004830917875, | |
| "eval_loss": 2.0265724658966064, | |
| "eval_runtime": 10.2427, | |
| "eval_samples_per_second": 23.919, | |
| "eval_steps_per_second": 3.027, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.8760064412238325, | |
| "grad_norm": 2.0661487579345703, | |
| "learning_rate": 1.1656536753392287e-05, | |
| "loss": 2.0917, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.8863123993558776, | |
| "grad_norm": 2.622814655303955, | |
| "learning_rate": 9.815330310080887e-06, | |
| "loss": 2.0866, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 0.8863123993558776, | |
| "eval_loss": 2.0249547958374023, | |
| "eval_runtime": 10.2333, | |
| "eval_samples_per_second": 23.941, | |
| "eval_steps_per_second": 3.029, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 0.8966183574879227, | |
| "grad_norm": 1.9814549684524536, | |
| "learning_rate": 8.127413744904804e-06, | |
| "loss": 2.0342, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 0.9069243156199678, | |
| "grad_norm": 2.146690607070923, | |
| "learning_rate": 6.594632769846353e-06, | |
| "loss": 2.061, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 0.9069243156199678, | |
| "eval_loss": 2.0226657390594482, | |
| "eval_runtime": 10.24, | |
| "eval_samples_per_second": 23.926, | |
| "eval_steps_per_second": 3.027, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 0.9172302737520129, | |
| "grad_norm": 2.2478368282318115, | |
| "learning_rate": 5.218663458397715e-06, | |
| "loss": 2.1308, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 0.927536231884058, | |
| "grad_norm": 1.9740926027297974, | |
| "learning_rate": 4.001010412799138e-06, | |
| "loss": 2.126, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.927536231884058, | |
| "eval_loss": 2.0219550132751465, | |
| "eval_runtime": 10.2389, | |
| "eval_samples_per_second": 23.928, | |
| "eval_steps_per_second": 3.028, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.937842190016103, | |
| "grad_norm": 2.0188748836517334, | |
| "learning_rate": 2.9430051187785962e-06, | |
| "loss": 2.0966, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 0.9481481481481482, | |
| "grad_norm": 2.021127939224243, | |
| "learning_rate": 2.0458044895916513e-06, | |
| "loss": 2.0616, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 0.9481481481481482, | |
| "eval_loss": 2.022151470184326, | |
| "eval_runtime": 10.2382, | |
| "eval_samples_per_second": 23.93, | |
| "eval_steps_per_second": 3.028, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 0.9584541062801932, | |
| "grad_norm": 2.2153139114379883, | |
| "learning_rate": 1.3103896009537207e-06, | |
| "loss": 2.0186, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 0.9687600644122383, | |
| "grad_norm": 2.1602697372436523, | |
| "learning_rate": 7.375646182482875e-07, | |
| "loss": 2.106, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 0.9687600644122383, | |
| "eval_loss": 2.0219268798828125, | |
| "eval_runtime": 10.2317, | |
| "eval_samples_per_second": 23.945, | |
| "eval_steps_per_second": 3.03, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 0.9790660225442834, | |
| "grad_norm": 2.1220812797546387, | |
| "learning_rate": 3.2795591718381975e-07, | |
| "loss": 2.0164, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.9893719806763285, | |
| "grad_norm": 2.2961068153381348, | |
| "learning_rate": 8.201139886109264e-08, | |
| "loss": 2.0596, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 0.9893719806763285, | |
| "eval_loss": 2.021911859512329, | |
| "eval_runtime": 10.235, | |
| "eval_samples_per_second": 23.937, | |
| "eval_steps_per_second": 3.029, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 0.9996779388083736, | |
| "grad_norm": 2.0847766399383545, | |
| "learning_rate": 0.0, | |
| "loss": 2.1024, | |
| "step": 388 | |
| } | |
| ], | |
| "logging_steps": 4, | |
| "max_steps": 388, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 8, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 8.611644452078223e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |