| { | |
| "best_global_step": 225, | |
| "best_metric": 0.36194586753845215, | |
| "best_model_checkpoint": "/content/output/checkpoint-225", | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.13333333333333333, | |
| "grad_norm": 1.7940553426742554, | |
| "learning_rate": 5.917159763313609e-06, | |
| "loss": 1.3972, | |
| "mean_token_accuracy": 0.7618847399950027, | |
| "num_tokens": 31152.0, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.26666666666666666, | |
| "grad_norm": 1.0511088371276855, | |
| "learning_rate": 1.1834319526627219e-05, | |
| "loss": 1.2288, | |
| "mean_token_accuracy": 0.7673537939786911, | |
| "num_tokens": 61773.0, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 0.8096975088119507, | |
| "learning_rate": 1.7751479289940828e-05, | |
| "loss": 0.9255, | |
| "mean_token_accuracy": 0.7948055118322372, | |
| "num_tokens": 94758.0, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.5333333333333333, | |
| "grad_norm": 0.6213255524635315, | |
| "learning_rate": 2.3668639053254438e-05, | |
| "loss": 0.7366, | |
| "mean_token_accuracy": 0.8212289035320282, | |
| "num_tokens": 125915.0, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 0.42887863516807556, | |
| "learning_rate": 2.958579881656805e-05, | |
| "loss": 0.5556, | |
| "mean_token_accuracy": 0.8463607966899872, | |
| "num_tokens": 159364.0, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 0.5108550786972046, | |
| "learning_rate": 3.5502958579881656e-05, | |
| "loss": 0.4676, | |
| "mean_token_accuracy": 0.8614094287157059, | |
| "num_tokens": 190374.0, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.9333333333333333, | |
| "grad_norm": 0.4310983121395111, | |
| "learning_rate": 4.142011834319527e-05, | |
| "loss": 0.4214, | |
| "mean_token_accuracy": 0.8710317760705948, | |
| "num_tokens": 222156.0, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.4043419659137726, | |
| "eval_mean_token_accuracy": 0.8734077858924866, | |
| "eval_num_tokens": 238011.0, | |
| "eval_runtime": 50.8925, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.0666666666666667, | |
| "grad_norm": 0.35767048597335815, | |
| "learning_rate": 4.7337278106508875e-05, | |
| "loss": 0.3901, | |
| "mean_token_accuracy": 0.8787548273801804, | |
| "num_tokens": 255825.0, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.3684692680835724, | |
| "learning_rate": 5.3254437869822495e-05, | |
| "loss": 0.3956, | |
| "mean_token_accuracy": 0.8787799149751663, | |
| "num_tokens": 287370.0, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 0.35148611664772034, | |
| "learning_rate": 5.91715976331361e-05, | |
| "loss": 0.3822, | |
| "mean_token_accuracy": 0.8814697057008744, | |
| "num_tokens": 315883.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.4666666666666668, | |
| "grad_norm": 0.39074671268463135, | |
| "learning_rate": 6.50887573964497e-05, | |
| "loss": 0.3703, | |
| "mean_token_accuracy": 0.8836676925420761, | |
| "num_tokens": 347324.0, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 0.38130292296409607, | |
| "learning_rate": 7.100591715976331e-05, | |
| "loss": 0.3762, | |
| "mean_token_accuracy": 0.8851484537124634, | |
| "num_tokens": 379374.0, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.7333333333333334, | |
| "grad_norm": 0.4091486632823944, | |
| "learning_rate": 7.692307692307693e-05, | |
| "loss": 0.3446, | |
| "mean_token_accuracy": 0.8894414573907852, | |
| "num_tokens": 411843.0, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.8666666666666667, | |
| "grad_norm": 0.361017644405365, | |
| "learning_rate": 8.284023668639054e-05, | |
| "loss": 0.3494, | |
| "mean_token_accuracy": 0.8915452778339386, | |
| "num_tokens": 444017.0, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.3487047851085663, | |
| "learning_rate": 8.875739644970414e-05, | |
| "loss": 0.3674, | |
| "mean_token_accuracy": 0.8846240967512131, | |
| "num_tokens": 476022.0, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.3620273470878601, | |
| "eval_mean_token_accuracy": 0.8875497984886169, | |
| "eval_num_tokens": 476022.0, | |
| "eval_runtime": 50.8961, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.1333333333333333, | |
| "grad_norm": 0.480814665555954, | |
| "learning_rate": 9.467455621301775e-05, | |
| "loss": 0.2974, | |
| "mean_token_accuracy": 0.9050114572048187, | |
| "num_tokens": 508445.0, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.2666666666666666, | |
| "grad_norm": 0.40775951743125916, | |
| "learning_rate": 9.989539748953976e-05, | |
| "loss": 0.2896, | |
| "mean_token_accuracy": 0.9084265738725662, | |
| "num_tokens": 541530.0, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 0.5174453854560852, | |
| "learning_rate": 9.884937238493725e-05, | |
| "loss": 0.29, | |
| "mean_token_accuracy": 0.9073476493358612, | |
| "num_tokens": 572212.0, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 2.533333333333333, | |
| "grad_norm": 0.5889921188354492, | |
| "learning_rate": 9.780334728033474e-05, | |
| "loss": 0.2828, | |
| "mean_token_accuracy": 0.909446981549263, | |
| "num_tokens": 603269.0, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 0.5635319352149963, | |
| "learning_rate": 9.675732217573223e-05, | |
| "loss": 0.2744, | |
| "mean_token_accuracy": 0.9101487964391708, | |
| "num_tokens": 635792.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "grad_norm": 0.609230637550354, | |
| "learning_rate": 9.571129707112972e-05, | |
| "loss": 0.2863, | |
| "mean_token_accuracy": 0.9104649156332016, | |
| "num_tokens": 666470.0, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 2.9333333333333336, | |
| "grad_norm": 0.5209991931915283, | |
| "learning_rate": 9.46652719665272e-05, | |
| "loss": 0.3027, | |
| "mean_token_accuracy": 0.9050683736801147, | |
| "num_tokens": 699119.0, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.36194586753845215, | |
| "eval_mean_token_accuracy": 0.8886684679985046, | |
| "eval_num_tokens": 714033.0, | |
| "eval_runtime": 50.8962, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 3.066666666666667, | |
| "grad_norm": 0.5214265584945679, | |
| "learning_rate": 9.361924686192469e-05, | |
| "loss": 0.2371, | |
| "mean_token_accuracy": 0.9248212277889252, | |
| "num_tokens": 729520.0, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 0.7459234595298767, | |
| "learning_rate": 9.257322175732218e-05, | |
| "loss": 0.1874, | |
| "mean_token_accuracy": 0.939895498752594, | |
| "num_tokens": 759510.0, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 3.3333333333333335, | |
| "grad_norm": 0.614969789981842, | |
| "learning_rate": 9.152719665271967e-05, | |
| "loss": 0.1754, | |
| "mean_token_accuracy": 0.943790751695633, | |
| "num_tokens": 791875.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 3.466666666666667, | |
| "grad_norm": 0.8585807085037231, | |
| "learning_rate": 9.048117154811716e-05, | |
| "loss": 0.1794, | |
| "mean_token_accuracy": 0.9401535421609879, | |
| "num_tokens": 821467.0, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "grad_norm": 0.6798614263534546, | |
| "learning_rate": 8.943514644351465e-05, | |
| "loss": 0.1754, | |
| "mean_token_accuracy": 0.9439484149217605, | |
| "num_tokens": 854000.0, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 3.7333333333333334, | |
| "grad_norm": 0.6594717502593994, | |
| "learning_rate": 8.838912133891214e-05, | |
| "loss": 0.179, | |
| "mean_token_accuracy": 0.9433883309364319, | |
| "num_tokens": 885296.0, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 3.8666666666666667, | |
| "grad_norm": 0.6909582614898682, | |
| "learning_rate": 8.734309623430963e-05, | |
| "loss": 0.1855, | |
| "mean_token_accuracy": 0.9395292073488235, | |
| "num_tokens": 919387.0, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.7755655646324158, | |
| "learning_rate": 8.629707112970712e-05, | |
| "loss": 0.1851, | |
| "mean_token_accuracy": 0.9409447878599166, | |
| "num_tokens": 952044.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.39551886916160583, | |
| "eval_mean_token_accuracy": 0.887341833114624, | |
| "eval_num_tokens": 952044.0, | |
| "eval_runtime": 50.8937, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 4.133333333333334, | |
| "grad_norm": 0.6951614022254944, | |
| "learning_rate": 8.525104602510461e-05, | |
| "loss": 0.0942, | |
| "mean_token_accuracy": 0.9724623709917068, | |
| "num_tokens": 984335.0, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 4.266666666666667, | |
| "grad_norm": 0.6803505420684814, | |
| "learning_rate": 8.42050209205021e-05, | |
| "loss": 0.1073, | |
| "mean_token_accuracy": 0.9653927534818649, | |
| "num_tokens": 1014854.0, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "grad_norm": 0.7284913063049316, | |
| "learning_rate": 8.315899581589958e-05, | |
| "loss": 0.1054, | |
| "mean_token_accuracy": 0.9662943929433823, | |
| "num_tokens": 1047986.0, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 4.533333333333333, | |
| "grad_norm": 0.6803147792816162, | |
| "learning_rate": 8.211297071129707e-05, | |
| "loss": 0.1065, | |
| "mean_token_accuracy": 0.9682819366455078, | |
| "num_tokens": 1079663.0, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 4.666666666666667, | |
| "grad_norm": 0.6864665150642395, | |
| "learning_rate": 8.106694560669456e-05, | |
| "loss": 0.1085, | |
| "mean_token_accuracy": 0.9646553307771683, | |
| "num_tokens": 1109495.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "grad_norm": 0.7594568729400635, | |
| "learning_rate": 8.002092050209205e-05, | |
| "loss": 0.1079, | |
| "mean_token_accuracy": 0.9674631506204605, | |
| "num_tokens": 1141598.0, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 4.933333333333334, | |
| "grad_norm": 0.6360507607460022, | |
| "learning_rate": 7.897489539748954e-05, | |
| "loss": 0.118, | |
| "mean_token_accuracy": 0.9628556370735168, | |
| "num_tokens": 1172834.0, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 0.45760437846183777, | |
| "eval_mean_token_accuracy": 0.8874933505058289, | |
| "eval_num_tokens": 1190055.0, | |
| "eval_runtime": 50.9015, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 5.066666666666666, | |
| "grad_norm": 0.4860494136810303, | |
| "learning_rate": 7.792887029288704e-05, | |
| "loss": 0.0845, | |
| "mean_token_accuracy": 0.9751860290765763, | |
| "num_tokens": 1206554.0, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 5.2, | |
| "grad_norm": 0.6970198750495911, | |
| "learning_rate": 7.688284518828453e-05, | |
| "loss": 0.065, | |
| "mean_token_accuracy": 0.9810720026493073, | |
| "num_tokens": 1237792.0, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 5.333333333333333, | |
| "grad_norm": 0.8283060193061829, | |
| "learning_rate": 7.583682008368202e-05, | |
| "loss": 0.0663, | |
| "mean_token_accuracy": 0.9797625124454499, | |
| "num_tokens": 1270203.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 5.466666666666667, | |
| "grad_norm": 0.8080848455429077, | |
| "learning_rate": 7.479079497907951e-05, | |
| "loss": 0.0712, | |
| "mean_token_accuracy": 0.9780115723609925, | |
| "num_tokens": 1301414.0, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 5.6, | |
| "grad_norm": 0.7461147904396057, | |
| "learning_rate": 7.3744769874477e-05, | |
| "loss": 0.0678, | |
| "mean_token_accuracy": 0.9800621330738067, | |
| "num_tokens": 1332421.0, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 5.733333333333333, | |
| "grad_norm": 0.5786488056182861, | |
| "learning_rate": 7.269874476987449e-05, | |
| "loss": 0.067, | |
| "mean_token_accuracy": 0.980746528506279, | |
| "num_tokens": 1365542.0, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 5.866666666666667, | |
| "grad_norm": 0.6561855673789978, | |
| "learning_rate": 7.165271966527197e-05, | |
| "loss": 0.0702, | |
| "mean_token_accuracy": 0.9795888513326645, | |
| "num_tokens": 1396981.0, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.8029749989509583, | |
| "learning_rate": 7.060669456066946e-05, | |
| "loss": 0.0721, | |
| "mean_token_accuracy": 0.9787283718585968, | |
| "num_tokens": 1428066.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 0.5095443725585938, | |
| "eval_mean_token_accuracy": 0.8847648048400879, | |
| "eval_num_tokens": 1428066.0, | |
| "eval_runtime": 50.9006, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 6.133333333333334, | |
| "grad_norm": 0.5984286665916443, | |
| "learning_rate": 6.956066945606695e-05, | |
| "loss": 0.0439, | |
| "mean_token_accuracy": 0.9883647084236145, | |
| "num_tokens": 1459612.0, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 6.266666666666667, | |
| "grad_norm": 0.7371001839637756, | |
| "learning_rate": 6.851464435146444e-05, | |
| "loss": 0.0497, | |
| "mean_token_accuracy": 0.9854195445775986, | |
| "num_tokens": 1490815.0, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 0.5508085489273071, | |
| "learning_rate": 6.746861924686193e-05, | |
| "loss": 0.0477, | |
| "mean_token_accuracy": 0.9866609632968902, | |
| "num_tokens": 1520943.0, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 6.533333333333333, | |
| "grad_norm": 0.7761865854263306, | |
| "learning_rate": 6.642259414225942e-05, | |
| "loss": 0.0449, | |
| "mean_token_accuracy": 0.9868600249290467, | |
| "num_tokens": 1552633.0, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "grad_norm": 0.6642009615898132, | |
| "learning_rate": 6.537656903765691e-05, | |
| "loss": 0.0472, | |
| "mean_token_accuracy": 0.9871610105037689, | |
| "num_tokens": 1587798.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "grad_norm": 0.6801927089691162, | |
| "learning_rate": 6.43305439330544e-05, | |
| "loss": 0.0527, | |
| "mean_token_accuracy": 0.9849318206310272, | |
| "num_tokens": 1617597.0, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 6.933333333333334, | |
| "grad_norm": 0.6705682873725891, | |
| "learning_rate": 6.32845188284519e-05, | |
| "loss": 0.0505, | |
| "mean_token_accuracy": 0.9851646542549133, | |
| "num_tokens": 1648212.0, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_loss": 0.5524249076843262, | |
| "eval_mean_token_accuracy": 0.8823326063156128, | |
| "eval_num_tokens": 1666077.0, | |
| "eval_runtime": 50.8934, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 7.066666666666666, | |
| "grad_norm": 1.0225543975830078, | |
| "learning_rate": 6.223849372384938e-05, | |
| "loss": 0.0441, | |
| "mean_token_accuracy": 0.9876838475465775, | |
| "num_tokens": 1682282.0, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "grad_norm": 0.7063732743263245, | |
| "learning_rate": 6.119246861924686e-05, | |
| "loss": 0.0314, | |
| "mean_token_accuracy": 0.9909861594438553, | |
| "num_tokens": 1714966.0, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 7.333333333333333, | |
| "grad_norm": 0.4836845099925995, | |
| "learning_rate": 6.014644351464436e-05, | |
| "loss": 0.0346, | |
| "mean_token_accuracy": 0.9898746073246002, | |
| "num_tokens": 1745662.0, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 7.466666666666667, | |
| "grad_norm": 0.5448402166366577, | |
| "learning_rate": 5.910041841004185e-05, | |
| "loss": 0.0375, | |
| "mean_token_accuracy": 0.9898856014013291, | |
| "num_tokens": 1778368.0, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 7.6, | |
| "grad_norm": 0.4760727882385254, | |
| "learning_rate": 5.8054393305439334e-05, | |
| "loss": 0.0357, | |
| "mean_token_accuracy": 0.9897664040327072, | |
| "num_tokens": 1810571.0, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 7.733333333333333, | |
| "grad_norm": 0.43467867374420166, | |
| "learning_rate": 5.7008368200836825e-05, | |
| "loss": 0.0388, | |
| "mean_token_accuracy": 0.9894861280918121, | |
| "num_tokens": 1842310.0, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 7.866666666666667, | |
| "grad_norm": 0.8253856897354126, | |
| "learning_rate": 5.5962343096234316e-05, | |
| "loss": 0.0398, | |
| "mean_token_accuracy": 0.9881662368774414, | |
| "num_tokens": 1873435.0, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.5036665797233582, | |
| "learning_rate": 5.4916317991631806e-05, | |
| "loss": 0.0421, | |
| "mean_token_accuracy": 0.9883299976587295, | |
| "num_tokens": 1904088.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.5785043239593506, | |
| "eval_mean_token_accuracy": 0.8845841264724732, | |
| "eval_num_tokens": 1904088.0, | |
| "eval_runtime": 50.8908, | |
| "eval_samples_per_second": 1.965, | |
| "eval_steps_per_second": 0.491, | |
| "step": 600 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 1125, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.1371376427728486e+17, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |