| { | |
| "best_metric": 4.9799017906188965, | |
| "best_model_checkpoint": "/home/datta0/models/lora_final/gemma-2-9b_pct_reverse_r32/checkpoint-8", | |
| "epoch": 0.9889738430583501, | |
| "eval_steps": 8, | |
| "global_step": 384, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.002575452716297787, | |
| "grad_norm": 10.302180290222168, | |
| "learning_rate": 1.25e-05, | |
| "loss": 2.1766, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.010301810865191148, | |
| "grad_norm": 7.941323280334473, | |
| "learning_rate": 5e-05, | |
| "loss": 2.2338, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.020603621730382295, | |
| "grad_norm": 11.684494018554688, | |
| "learning_rate": 0.0001, | |
| "loss": 2.5978, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.020603621730382295, | |
| "eval_loss": 4.9799017906188965, | |
| "eval_runtime": 400.2297, | |
| "eval_samples_per_second": 0.612, | |
| "eval_steps_per_second": 0.612, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.03090543259557344, | |
| "grad_norm": 11.442267417907715, | |
| "learning_rate": 9.997266286704631e-05, | |
| "loss": 7.9986, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.04120724346076459, | |
| "grad_norm": 1.5122904777526855, | |
| "learning_rate": 9.989068136093873e-05, | |
| "loss": 11.0056, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.04120724346076459, | |
| "eval_loss": 11.464006423950195, | |
| "eval_runtime": 164.6219, | |
| "eval_samples_per_second": 1.488, | |
| "eval_steps_per_second": 1.488, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.05150905432595573, | |
| "grad_norm": 1.6047507524490356, | |
| "learning_rate": 9.975414512725057e-05, | |
| "loss": 11.4322, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06181086519114688, | |
| "grad_norm": 1.1092612743377686, | |
| "learning_rate": 9.956320346634876e-05, | |
| "loss": 11.7215, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.06181086519114688, | |
| "eval_loss": 11.87649917602539, | |
| "eval_runtime": 121.4683, | |
| "eval_samples_per_second": 2.017, | |
| "eval_steps_per_second": 2.017, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.07211267605633803, | |
| "grad_norm": 0.7658454179763794, | |
| "learning_rate": 9.931806517013612e-05, | |
| "loss": 11.7902, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.08241448692152918, | |
| "grad_norm": 0.6134170889854431, | |
| "learning_rate": 9.901899829374047e-05, | |
| "loss": 11.8793, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.08241448692152918, | |
| "eval_loss": 11.905890464782715, | |
| "eval_runtime": 166.1275, | |
| "eval_samples_per_second": 1.475, | |
| "eval_steps_per_second": 1.475, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.09271629778672032, | |
| "grad_norm": 0.7564122080802917, | |
| "learning_rate": 9.86663298624003e-05, | |
| "loss": 11.9183, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.10301810865191147, | |
| "grad_norm": 0.5781177282333374, | |
| "learning_rate": 9.826044551386744e-05, | |
| "loss": 11.8739, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.10301810865191147, | |
| "eval_loss": 11.97806167602539, | |
| "eval_runtime": 119.7243, | |
| "eval_samples_per_second": 2.046, | |
| "eval_steps_per_second": 2.046, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.11331991951710262, | |
| "grad_norm": 0.399111807346344, | |
| "learning_rate": 9.780178907671789e-05, | |
| "loss": 11.9112, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.12362173038229377, | |
| "grad_norm": 0.5412446856498718, | |
| "learning_rate": 9.729086208503174e-05, | |
| "loss": 11.8763, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.12362173038229377, | |
| "eval_loss": 11.9486665725708, | |
| "eval_runtime": 167.3012, | |
| "eval_samples_per_second": 1.464, | |
| "eval_steps_per_second": 1.464, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.1339235412474849, | |
| "grad_norm": 0.324489563703537, | |
| "learning_rate": 9.672822322997305e-05, | |
| "loss": 11.8606, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.14422535211267606, | |
| "grad_norm": 0.22089843451976776, | |
| "learning_rate": 9.611448774886924e-05, | |
| "loss": 11.8231, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.14422535211267606, | |
| "eval_loss": 11.828161239624023, | |
| "eval_runtime": 120.687, | |
| "eval_samples_per_second": 2.03, | |
| "eval_steps_per_second": 2.03, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.1545271629778672, | |
| "grad_norm": 0.22084373235702515, | |
| "learning_rate": 9.545032675245813e-05, | |
| "loss": 11.7885, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.16482897384305836, | |
| "grad_norm": 0.5548378229141235, | |
| "learning_rate": 9.473646649103818e-05, | |
| "loss": 11.7758, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.16482897384305836, | |
| "eval_loss": 11.76635456085205, | |
| "eval_runtime": 119.5843, | |
| "eval_samples_per_second": 2.049, | |
| "eval_steps_per_second": 2.049, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.1751307847082495, | |
| "grad_norm": 0.22932168841362, | |
| "learning_rate": 9.397368756032445e-05, | |
| "loss": 11.7211, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.18543259557344063, | |
| "grad_norm": 0.33755362033843994, | |
| "learning_rate": 9.316282404787871e-05, | |
| "loss": 11.8011, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.18543259557344063, | |
| "eval_loss": 11.437198638916016, | |
| "eval_runtime": 162.9209, | |
| "eval_samples_per_second": 1.504, | |
| "eval_steps_per_second": 1.504, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.1957344064386318, | |
| "grad_norm": 0.2544913589954376, | |
| "learning_rate": 9.230476262104677e-05, | |
| "loss": 11.7226, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.20603621730382293, | |
| "grad_norm": 0.2166949361562729, | |
| "learning_rate": 9.140044155740101e-05, | |
| "loss": 11.6991, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.20603621730382293, | |
| "eval_loss": 11.733440399169922, | |
| "eval_runtime": 121.9998, | |
| "eval_samples_per_second": 2.008, | |
| "eval_steps_per_second": 2.008, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.2163380281690141, | |
| "grad_norm": 0.1701814830303192, | |
| "learning_rate": 9.045084971874738e-05, | |
| "loss": 11.6466, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.22663983903420523, | |
| "grad_norm": 0.2655963599681854, | |
| "learning_rate": 8.945702546981969e-05, | |
| "loss": 11.8108, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.22663983903420523, | |
| "eval_loss": 11.500480651855469, | |
| "eval_runtime": 164.3823, | |
| "eval_samples_per_second": 1.49, | |
| "eval_steps_per_second": 1.49, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.23694164989939637, | |
| "grad_norm": 0.162321999669075, | |
| "learning_rate": 8.842005554284296e-05, | |
| "loss": 11.6505, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.24724346076458753, | |
| "grad_norm": 0.21160480380058289, | |
| "learning_rate": 8.73410738492077e-05, | |
| "loss": 11.6519, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.24724346076458753, | |
| "eval_loss": 11.594391822814941, | |
| "eval_runtime": 120.0195, | |
| "eval_samples_per_second": 2.041, | |
| "eval_steps_per_second": 2.041, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.2575452716297787, | |
| "grad_norm": 0.2764425277709961, | |
| "learning_rate": 8.622126023955446e-05, | |
| "loss": 11.6293, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2678470824949698, | |
| "grad_norm": 0.179239422082901, | |
| "learning_rate": 8.506183921362443e-05, | |
| "loss": 11.6905, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.2678470824949698, | |
| "eval_loss": 11.594428062438965, | |
| "eval_runtime": 166.0172, | |
| "eval_samples_per_second": 1.476, | |
| "eval_steps_per_second": 1.476, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.27814889336016096, | |
| "grad_norm": 0.2203957438468933, | |
| "learning_rate": 8.386407858128706e-05, | |
| "loss": 11.564, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 0.28845070422535213, | |
| "grad_norm": 0.1474369317293167, | |
| "learning_rate": 8.262928807620843e-05, | |
| "loss": 11.6003, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.28845070422535213, | |
| "eval_loss": 11.591402053833008, | |
| "eval_runtime": 120.0268, | |
| "eval_samples_per_second": 2.041, | |
| "eval_steps_per_second": 2.041, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.29875251509054324, | |
| "grad_norm": 0.18921791017055511, | |
| "learning_rate": 8.135881792367686e-05, | |
| "loss": 11.5716, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 0.3090543259557344, | |
| "grad_norm": 0.1806280016899109, | |
| "learning_rate": 8.005405736415126e-05, | |
| "loss": 11.5813, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.3090543259557344, | |
| "eval_loss": 11.568363189697266, | |
| "eval_runtime": 121.0475, | |
| "eval_samples_per_second": 2.024, | |
| "eval_steps_per_second": 2.024, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.31935613682092556, | |
| "grad_norm": 0.1429259330034256, | |
| "learning_rate": 7.871643313414718e-05, | |
| "loss": 11.5332, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 0.3296579476861167, | |
| "grad_norm": 0.34623807668685913, | |
| "learning_rate": 7.734740790612136e-05, | |
| "loss": 11.5493, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.3296579476861167, | |
| "eval_loss": 11.755960464477539, | |
| "eval_runtime": 165.4161, | |
| "eval_samples_per_second": 1.481, | |
| "eval_steps_per_second": 1.481, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.33995975855130783, | |
| "grad_norm": 0.12925852835178375, | |
| "learning_rate": 7.594847868906076e-05, | |
| "loss": 11.6452, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 0.350261569416499, | |
| "grad_norm": 0.2058892697095871, | |
| "learning_rate": 7.452117519152542e-05, | |
| "loss": 11.5458, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.350261569416499, | |
| "eval_loss": 11.456594467163086, | |
| "eval_runtime": 117.7525, | |
| "eval_samples_per_second": 2.081, | |
| "eval_steps_per_second": 2.081, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.36056338028169016, | |
| "grad_norm": 0.1822740137577057, | |
| "learning_rate": 7.30670581489344e-05, | |
| "loss": 11.549, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.37086519114688127, | |
| "grad_norm": 0.163137748837471, | |
| "learning_rate": 7.158771761692464e-05, | |
| "loss": 11.5838, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.37086519114688127, | |
| "eval_loss": 11.433055877685547, | |
| "eval_runtime": 165.2007, | |
| "eval_samples_per_second": 1.483, | |
| "eval_steps_per_second": 1.483, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.38116700201207243, | |
| "grad_norm": 0.15767963230609894, | |
| "learning_rate": 7.008477123264848e-05, | |
| "loss": 11.5418, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 0.3914688128772636, | |
| "grad_norm": 0.14546583592891693, | |
| "learning_rate": 6.855986244591104e-05, | |
| "loss": 11.4815, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.3914688128772636, | |
| "eval_loss": 11.51737117767334, | |
| "eval_runtime": 119.769, | |
| "eval_samples_per_second": 2.046, | |
| "eval_steps_per_second": 2.046, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.4017706237424547, | |
| "grad_norm": 0.1699499934911728, | |
| "learning_rate": 6.701465872208216e-05, | |
| "loss": 11.5552, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 0.41207243460764587, | |
| "grad_norm": 0.1260180026292801, | |
| "learning_rate": 6.545084971874738e-05, | |
| "loss": 11.5369, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.41207243460764587, | |
| "eval_loss": 11.527098655700684, | |
| "eval_runtime": 161.8318, | |
| "eval_samples_per_second": 1.514, | |
| "eval_steps_per_second": 1.514, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.42237424547283703, | |
| "grad_norm": 0.15433725714683533, | |
| "learning_rate": 6.387014543809223e-05, | |
| "loss": 11.4842, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 0.4326760563380282, | |
| "grad_norm": 0.12766706943511963, | |
| "learning_rate": 6.227427435703997e-05, | |
| "loss": 11.4617, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.4326760563380282, | |
| "eval_loss": 11.539175987243652, | |
| "eval_runtime": 121.7844, | |
| "eval_samples_per_second": 2.012, | |
| "eval_steps_per_second": 2.012, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.4429778672032193, | |
| "grad_norm": 0.16595180332660675, | |
| "learning_rate": 6.066498153718735e-05, | |
| "loss": 11.5383, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 0.45327967806841046, | |
| "grad_norm": 0.25058212876319885, | |
| "learning_rate": 5.90440267166055e-05, | |
| "loss": 11.4399, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.45327967806841046, | |
| "eval_loss": 11.36911678314209, | |
| "eval_runtime": 121.0957, | |
| "eval_samples_per_second": 2.023, | |
| "eval_steps_per_second": 2.023, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.4635814889336016, | |
| "grad_norm": 0.15986469388008118, | |
| "learning_rate": 5.74131823855921e-05, | |
| "loss": 11.4953, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.47388329979879273, | |
| "grad_norm": 20.536422729492188, | |
| "learning_rate": 5.577423184847932e-05, | |
| "loss": 11.3199, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.47388329979879273, | |
| "eval_loss": 10.98233413696289, | |
| "eval_runtime": 162.7087, | |
| "eval_samples_per_second": 1.506, | |
| "eval_steps_per_second": 1.506, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.4841851106639839, | |
| "grad_norm": 5.964752674102783, | |
| "learning_rate": 5.4128967273616625e-05, | |
| "loss": 10.8849, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 0.49448692152917506, | |
| "grad_norm": 6.385639190673828, | |
| "learning_rate": 5.247918773366112e-05, | |
| "loss": 10.6547, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.49448692152917506, | |
| "eval_loss": 10.066610336303711, | |
| "eval_runtime": 120.5492, | |
| "eval_samples_per_second": 2.032, | |
| "eval_steps_per_second": 2.032, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.5047887323943662, | |
| "grad_norm": 12.043314933776855, | |
| "learning_rate": 5.0826697238317935e-05, | |
| "loss": 9.5631, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 0.5150905432595574, | |
| "grad_norm": 7.537539482116699, | |
| "learning_rate": 4.917330276168208e-05, | |
| "loss": 8.8163, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5150905432595574, | |
| "eval_loss": 8.763765335083008, | |
| "eval_runtime": 164.7981, | |
| "eval_samples_per_second": 1.487, | |
| "eval_steps_per_second": 1.487, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5253923541247485, | |
| "grad_norm": 1.9154856204986572, | |
| "learning_rate": 4.7520812266338885e-05, | |
| "loss": 9.183, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 0.5356941649899396, | |
| "grad_norm": 4.3046746253967285, | |
| "learning_rate": 4.5871032726383386e-05, | |
| "loss": 9.5635, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.5356941649899396, | |
| "eval_loss": 8.515321731567383, | |
| "eval_runtime": 121.1046, | |
| "eval_samples_per_second": 2.023, | |
| "eval_steps_per_second": 2.023, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.5459959758551308, | |
| "grad_norm": 3.1673686504364014, | |
| "learning_rate": 4.4225768151520694e-05, | |
| "loss": 8.7257, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 0.5562977867203219, | |
| "grad_norm": 3.7206709384918213, | |
| "learning_rate": 4.2586817614407895e-05, | |
| "loss": 8.7862, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.5562977867203219, | |
| "eval_loss": 9.218582153320312, | |
| "eval_runtime": 165.2874, | |
| "eval_samples_per_second": 1.482, | |
| "eval_steps_per_second": 1.482, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.566599597585513, | |
| "grad_norm": 1.9827094078063965, | |
| "learning_rate": 4.095597328339452e-05, | |
| "loss": 9.8043, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.5769014084507043, | |
| "grad_norm": 3.734112501144409, | |
| "learning_rate": 3.933501846281267e-05, | |
| "loss": 10.2774, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.5769014084507043, | |
| "eval_loss": 10.383406639099121, | |
| "eval_runtime": 119.8206, | |
| "eval_samples_per_second": 2.045, | |
| "eval_steps_per_second": 2.045, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.5872032193158954, | |
| "grad_norm": 8.66118049621582, | |
| "learning_rate": 3.772572564296005e-05, | |
| "loss": 10.1576, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 0.5975050301810865, | |
| "grad_norm": 4.829358100891113, | |
| "learning_rate": 3.612985456190778e-05, | |
| "loss": 9.7932, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.5975050301810865, | |
| "eval_loss": 9.797175407409668, | |
| "eval_runtime": 120.075, | |
| "eval_samples_per_second": 2.04, | |
| "eval_steps_per_second": 2.04, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.6078068410462777, | |
| "grad_norm": 2.6055920124053955, | |
| "learning_rate": 3.4549150281252636e-05, | |
| "loss": 9.7817, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 0.6181086519114688, | |
| "grad_norm": 5.202971458435059, | |
| "learning_rate": 3.298534127791785e-05, | |
| "loss": 9.5421, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6181086519114688, | |
| "eval_loss": 9.684460639953613, | |
| "eval_runtime": 164.0692, | |
| "eval_samples_per_second": 1.493, | |
| "eval_steps_per_second": 1.493, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6284104627766599, | |
| "grad_norm": 4.3098225593566895, | |
| "learning_rate": 3.144013755408895e-05, | |
| "loss": 9.574, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 0.6387122736418511, | |
| "grad_norm": 4.262834072113037, | |
| "learning_rate": 2.991522876735154e-05, | |
| "loss": 9.5401, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 0.6387122736418511, | |
| "eval_loss": 9.343782424926758, | |
| "eval_runtime": 120.8651, | |
| "eval_samples_per_second": 2.027, | |
| "eval_steps_per_second": 2.027, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 0.6490140845070422, | |
| "grad_norm": 2.082047462463379, | |
| "learning_rate": 2.8412282383075363e-05, | |
| "loss": 9.9613, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 0.6593158953722335, | |
| "grad_norm": 0.8725143074989319, | |
| "learning_rate": 2.693294185106562e-05, | |
| "loss": 10.9001, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 0.6593158953722335, | |
| "eval_loss": 10.607041358947754, | |
| "eval_runtime": 165.0213, | |
| "eval_samples_per_second": 1.485, | |
| "eval_steps_per_second": 1.485, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 0.6696177062374246, | |
| "grad_norm": 5.7337517738342285, | |
| "learning_rate": 2.547882480847461e-05, | |
| "loss": 10.5149, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.6799195171026157, | |
| "grad_norm": 2.850618839263916, | |
| "learning_rate": 2.405152131093926e-05, | |
| "loss": 9.959, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 0.6799195171026157, | |
| "eval_loss": 9.617180824279785, | |
| "eval_runtime": 121.3426, | |
| "eval_samples_per_second": 2.019, | |
| "eval_steps_per_second": 2.019, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 0.6902213279678069, | |
| "grad_norm": 4.845343112945557, | |
| "learning_rate": 2.2652592093878666e-05, | |
| "loss": 9.2827, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 0.700523138832998, | |
| "grad_norm": 2.2851219177246094, | |
| "learning_rate": 2.128356686585282e-05, | |
| "loss": 9.5409, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 0.700523138832998, | |
| "eval_loss": 10.476217269897461, | |
| "eval_runtime": 164.2642, | |
| "eval_samples_per_second": 1.491, | |
| "eval_steps_per_second": 1.491, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 0.7108249496981891, | |
| "grad_norm": 1.766412615776062, | |
| "learning_rate": 1.9945942635848748e-05, | |
| "loss": 10.9182, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 0.7211267605633803, | |
| "grad_norm": 1.4967565536499023, | |
| "learning_rate": 1.8641182076323148e-05, | |
| "loss": 10.8074, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7211267605633803, | |
| "eval_loss": 10.487205505371094, | |
| "eval_runtime": 119.2743, | |
| "eval_samples_per_second": 2.054, | |
| "eval_steps_per_second": 2.054, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7314285714285714, | |
| "grad_norm": 6.666006088256836, | |
| "learning_rate": 1.7370711923791567e-05, | |
| "loss": 10.3232, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 0.7417303822937625, | |
| "grad_norm": 4.8097381591796875, | |
| "learning_rate": 1.6135921418712956e-05, | |
| "loss": 9.1645, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 0.7417303822937625, | |
| "eval_loss": 7.656736373901367, | |
| "eval_runtime": 121.5628, | |
| "eval_samples_per_second": 2.015, | |
| "eval_steps_per_second": 2.015, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 0.7520321931589538, | |
| "grad_norm": 5.842891693115234, | |
| "learning_rate": 1.4938160786375572e-05, | |
| "loss": 7.4315, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 0.7623340040241449, | |
| "grad_norm": 4.397885322570801, | |
| "learning_rate": 1.3778739760445552e-05, | |
| "loss": 8.1072, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 0.7623340040241449, | |
| "eval_loss": 8.791058540344238, | |
| "eval_runtime": 165.8273, | |
| "eval_samples_per_second": 1.477, | |
| "eval_steps_per_second": 1.477, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 0.772635814889336, | |
| "grad_norm": 2.3736143112182617, | |
| "learning_rate": 1.2658926150792322e-05, | |
| "loss": 9.0859, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7829376257545272, | |
| "grad_norm": 3.1305336952209473, | |
| "learning_rate": 1.157994445715706e-05, | |
| "loss": 9.7069, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 0.7829376257545272, | |
| "eval_loss": 10.004293441772461, | |
| "eval_runtime": 119.512, | |
| "eval_samples_per_second": 2.05, | |
| "eval_steps_per_second": 2.05, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 0.7932394366197183, | |
| "grad_norm": 1.8686987161636353, | |
| "learning_rate": 1.0542974530180327e-05, | |
| "loss": 10.0589, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 0.8035412474849094, | |
| "grad_norm": 2.3722739219665527, | |
| "learning_rate": 9.549150281252633e-06, | |
| "loss": 10.0752, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.8035412474849094, | |
| "eval_loss": 10.165539741516113, | |
| "eval_runtime": 166.7318, | |
| "eval_samples_per_second": 1.469, | |
| "eval_steps_per_second": 1.469, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.8138430583501006, | |
| "grad_norm": 2.35557222366333, | |
| "learning_rate": 8.599558442598998e-06, | |
| "loss": 10.2222, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 0.8241448692152917, | |
| "grad_norm": 3.20621395111084, | |
| "learning_rate": 7.695237378953223e-06, | |
| "loss": 9.9734, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8241448692152917, | |
| "eval_loss": 9.964385032653809, | |
| "eval_runtime": 120.9633, | |
| "eval_samples_per_second": 2.025, | |
| "eval_steps_per_second": 2.025, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.834446680080483, | |
| "grad_norm": 4.180117130279541, | |
| "learning_rate": 6.837175952121306e-06, | |
| "loss": 10.0431, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 0.8447484909456741, | |
| "grad_norm": 3.4952783584594727, | |
| "learning_rate": 6.026312439675552e-06, | |
| "loss": 9.6722, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 0.8447484909456741, | |
| "eval_loss": 9.780319213867188, | |
| "eval_runtime": 167.9654, | |
| "eval_samples_per_second": 1.459, | |
| "eval_steps_per_second": 1.459, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 0.8550503018108652, | |
| "grad_norm": 3.512146472930908, | |
| "learning_rate": 5.263533508961827e-06, | |
| "loss": 9.7029, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 0.8653521126760564, | |
| "grad_norm": 2.8218512535095215, | |
| "learning_rate": 4.549673247541875e-06, | |
| "loss": 9.8279, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.8653521126760564, | |
| "eval_loss": 9.582645416259766, | |
| "eval_runtime": 120.4821, | |
| "eval_samples_per_second": 2.033, | |
| "eval_steps_per_second": 2.033, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.8756539235412475, | |
| "grad_norm": 7.174349784851074, | |
| "learning_rate": 3.885512251130763e-06, | |
| "loss": 9.5723, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.8859557344064386, | |
| "grad_norm": 2.031242847442627, | |
| "learning_rate": 3.271776770026963e-06, | |
| "loss": 9.6714, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 0.8859557344064386, | |
| "eval_loss": 9.553346633911133, | |
| "eval_runtime": 124.1887, | |
| "eval_samples_per_second": 1.973, | |
| "eval_steps_per_second": 1.973, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 0.8962575452716298, | |
| "grad_norm": 12.41804313659668, | |
| "learning_rate": 2.7091379149682685e-06, | |
| "loss": 9.6239, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 0.9065593561368209, | |
| "grad_norm": 5.308027744293213, | |
| "learning_rate": 2.1982109232821178e-06, | |
| "loss": 9.655, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 0.9065593561368209, | |
| "eval_loss": 9.633858680725098, | |
| "eval_runtime": 169.9501, | |
| "eval_samples_per_second": 1.442, | |
| "eval_steps_per_second": 1.442, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 0.916861167002012, | |
| "grad_norm": 3.773082971572876, | |
| "learning_rate": 1.7395544861325718e-06, | |
| "loss": 9.7297, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 0.9271629778672033, | |
| "grad_norm": 3.001129150390625, | |
| "learning_rate": 1.333670137599713e-06, | |
| "loss": 9.7184, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.9271629778672033, | |
| "eval_loss": 9.7650728225708, | |
| "eval_runtime": 119.9288, | |
| "eval_samples_per_second": 2.043, | |
| "eval_steps_per_second": 2.043, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.9374647887323944, | |
| "grad_norm": 4.141623497009277, | |
| "learning_rate": 9.810017062595322e-07, | |
| "loss": 9.9158, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 0.9477665995975855, | |
| "grad_norm": 2.350005626678467, | |
| "learning_rate": 6.819348298638839e-07, | |
| "loss": 9.6142, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 0.9477665995975855, | |
| "eval_loss": 9.853599548339844, | |
| "eval_runtime": 167.3149, | |
| "eval_samples_per_second": 1.464, | |
| "eval_steps_per_second": 1.464, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 0.9580684104627767, | |
| "grad_norm": 3.0426127910614014, | |
| "learning_rate": 4.367965336512403e-07, | |
| "loss": 9.7248, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 0.9683702213279678, | |
| "grad_norm": 3.860062599182129, | |
| "learning_rate": 2.458548727494292e-07, | |
| "loss": 9.9249, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 0.9683702213279678, | |
| "eval_loss": 9.89064884185791, | |
| "eval_runtime": 121.6599, | |
| "eval_samples_per_second": 2.014, | |
| "eval_steps_per_second": 2.014, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 0.9786720321931589, | |
| "grad_norm": 1.843009114265442, | |
| "learning_rate": 1.0931863906127327e-07, | |
| "loss": 9.7664, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.9889738430583501, | |
| "grad_norm": 5.112157344818115, | |
| "learning_rate": 2.7337132953697554e-08, | |
| "loss": 9.8654, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 0.9889738430583501, | |
| "eval_loss": 9.901961326599121, | |
| "eval_runtime": 166.3605, | |
| "eval_samples_per_second": 1.473, | |
| "eval_steps_per_second": 1.473, | |
| "step": 384 | |
| } | |
| ], | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5.5203300693467136e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |