|
{ |
|
"best_metric": 0.18747980892658234, |
|
"best_model_checkpoint": "/home/datta0/models/lora_final/Qwen2-7B_metamath_reverse/checkpoint-13", |
|
"epoch": 0.9898744430943702, |
|
"eval_steps": 13, |
|
"global_step": 611, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0016200891049007696, |
|
"grad_norm": 4.52362585067749, |
|
"learning_rate": 2.3076923076923076e-05, |
|
"loss": 0.2546, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.011340623734305387, |
|
"grad_norm": 1.5261310338974, |
|
"learning_rate": 0.00016153846153846153, |
|
"loss": 0.1753, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.021061158363710003, |
|
"eval_loss": 0.18747980892658234, |
|
"eval_runtime": 12.4138, |
|
"eval_samples_per_second": 40.278, |
|
"eval_steps_per_second": 5.075, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.022681247468610773, |
|
"grad_norm": 2.1798665523529053, |
|
"learning_rate": 0.0002999979709808197, |
|
"loss": 0.1715, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.03402187120291616, |
|
"grad_norm": 2.5627083778381348, |
|
"learning_rate": 0.0002998701612152596, |
|
"loss": 0.2036, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.042122316727420006, |
|
"eval_loss": 0.2523616552352905, |
|
"eval_runtime": 83.5071, |
|
"eval_samples_per_second": 5.988, |
|
"eval_steps_per_second": 0.754, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.04536249493722155, |
|
"grad_norm": 2.336559772491455, |
|
"learning_rate": 0.0002995437011859465, |
|
"loss": 0.2407, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.056703118671526935, |
|
"grad_norm": 2.8058784008026123, |
|
"learning_rate": 0.00029901902360990936, |
|
"loss": 0.2585, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.06318347509113001, |
|
"eval_loss": 0.2876286506652832, |
|
"eval_runtime": 74.7685, |
|
"eval_samples_per_second": 6.687, |
|
"eval_steps_per_second": 0.843, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.06804374240583232, |
|
"grad_norm": 2.3905534744262695, |
|
"learning_rate": 0.00029829682393805085, |
|
"loss": 0.2638, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.0793843661401377, |
|
"grad_norm": 2.4771692752838135, |
|
"learning_rate": 0.0002973780594333385, |
|
"loss": 0.2848, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.08424463345484001, |
|
"eval_loss": 0.31458961963653564, |
|
"eval_runtime": 12.4219, |
|
"eval_samples_per_second": 40.252, |
|
"eval_steps_per_second": 5.072, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 0.0907249898744431, |
|
"grad_norm": 2.488586902618408, |
|
"learning_rate": 0.00029626394790197025, |
|
"loss": 0.3027, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 0.10206561360874848, |
|
"grad_norm": 2.716110944747925, |
|
"learning_rate": 0.00029495596607919305, |
|
"loss": 0.2997, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.10530579181855002, |
|
"eval_loss": 0.3230917453765869, |
|
"eval_runtime": 88.9179, |
|
"eval_samples_per_second": 5.623, |
|
"eval_steps_per_second": 0.709, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.11340623734305387, |
|
"grad_norm": 2.5921218395233154, |
|
"learning_rate": 0.00029345584767191685, |
|
"loss": 0.3052, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.12474686107735926, |
|
"grad_norm": 2.5036072731018066, |
|
"learning_rate": 0.0002917655810607161, |
|
"loss": 0.3196, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 0.12636695018226002, |
|
"eval_loss": 0.3350300192832947, |
|
"eval_runtime": 89.9537, |
|
"eval_samples_per_second": 5.558, |
|
"eval_steps_per_second": 0.7, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.13608748481166463, |
|
"grad_norm": 2.4138002395629883, |
|
"learning_rate": 0.0002898874066642667, |
|
"loss": 0.3225, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.14742810854597002, |
|
"grad_norm": 2.376221179962158, |
|
"learning_rate": 0.00028782381396971003, |
|
"loss": 0.3263, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 0.14742810854597002, |
|
"eval_loss": 0.3406391739845276, |
|
"eval_runtime": 12.3974, |
|
"eval_samples_per_second": 40.331, |
|
"eval_steps_per_second": 5.082, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 0.1587687322802754, |
|
"grad_norm": 2.2181365489959717, |
|
"learning_rate": 0.00028557753823288173, |
|
"loss": 0.3148, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 0.16848926690968002, |
|
"eval_loss": 0.3401181101799011, |
|
"eval_runtime": 90.3528, |
|
"eval_samples_per_second": 5.534, |
|
"eval_steps_per_second": 0.697, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 0.1701093560145808, |
|
"grad_norm": 2.313964366912842, |
|
"learning_rate": 0.0002831515568527781, |
|
"loss": 0.3245, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.1814499797488862, |
|
"grad_norm": 2.2569937705993652, |
|
"learning_rate": 0.00028054908542506627, |
|
"loss": 0.3297, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 0.18955042527339003, |
|
"eval_loss": 0.3456376791000366, |
|
"eval_runtime": 88.1843, |
|
"eval_samples_per_second": 5.67, |
|
"eval_steps_per_second": 0.714, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 0.19279060348319157, |
|
"grad_norm": 2.462419033050537, |
|
"learning_rate": 0.00027777357347986823, |
|
"loss": 0.3189, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 0.20413122721749696, |
|
"grad_norm": 2.143909215927124, |
|
"learning_rate": 0.00027482869990946986, |
|
"loss": 0.3221, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 0.21061158363710003, |
|
"eval_loss": 0.3476516604423523, |
|
"eval_runtime": 12.3771, |
|
"eval_samples_per_second": 40.397, |
|
"eval_steps_per_second": 5.09, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.21547185095180235, |
|
"grad_norm": 1.9863917827606201, |
|
"learning_rate": 0.0002717183680920135, |
|
"loss": 0.3263, |
|
"step": 133 |
|
}, |
|
{ |
|
"epoch": 0.22681247468610774, |
|
"grad_norm": 2.3500940799713135, |
|
"learning_rate": 0.00026844670071763906, |
|
"loss": 0.3359, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.23167274200081003, |
|
"eval_loss": 0.3490840792655945, |
|
"eval_runtime": 92.3634, |
|
"eval_samples_per_second": 5.413, |
|
"eval_steps_per_second": 0.682, |
|
"step": 143 |
|
}, |
|
{ |
|
"epoch": 0.23815309842041313, |
|
"grad_norm": 2.0207138061523438, |
|
"learning_rate": 0.00026501803432393037, |
|
"loss": 0.327, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 0.24949372215471852, |
|
"grad_norm": 2.1643483638763428, |
|
"learning_rate": 0.00026143691354791145, |
|
"loss": 0.3296, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 0.25273390036452004, |
|
"eval_loss": 0.3398853838443756, |
|
"eval_runtime": 91.6137, |
|
"eval_samples_per_second": 5.458, |
|
"eval_steps_per_second": 0.688, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 0.2608343458890239, |
|
"grad_norm": 2.1574275493621826, |
|
"learning_rate": 0.00025770808510220956, |
|
"loss": 0.3279, |
|
"step": 161 |
|
}, |
|
{ |
|
"epoch": 0.27217496962332927, |
|
"grad_norm": 2.1672723293304443, |
|
"learning_rate": 0.00025383649148337105, |
|
"loss": 0.3361, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 0.27379505872823007, |
|
"eval_loss": 0.34163641929626465, |
|
"eval_runtime": 12.4303, |
|
"eval_samples_per_second": 40.224, |
|
"eval_steps_per_second": 5.068, |
|
"step": 169 |
|
}, |
|
{ |
|
"epoch": 0.28351559335763465, |
|
"grad_norm": 2.2144994735717773, |
|
"learning_rate": 0.0002498272644206695, |
|
"loss": 0.3341, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.29485621709194004, |
|
"grad_norm": 2.0570850372314453, |
|
"learning_rate": 0.0002456857180740884, |
|
"loss": 0.3187, |
|
"step": 182 |
|
}, |
|
{ |
|
"epoch": 0.29485621709194004, |
|
"eval_loss": 0.3376466631889343, |
|
"eval_runtime": 74.564, |
|
"eval_samples_per_second": 6.706, |
|
"eval_steps_per_second": 0.845, |
|
"step": 182 |
|
}, |
|
{ |
|
"epoch": 0.30619684082624543, |
|
"grad_norm": 2.23764967918396, |
|
"learning_rate": 0.0002414173419904956, |
|
"loss": 0.3285, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 0.3159173754556501, |
|
"eval_loss": 0.33701062202453613, |
|
"eval_runtime": 85.9424, |
|
"eval_samples_per_second": 5.818, |
|
"eval_steps_per_second": 0.733, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 0.3175374645605508, |
|
"grad_norm": 1.9056419134140015, |
|
"learning_rate": 0.00023702779382734566, |
|
"loss": 0.3197, |
|
"step": 196 |
|
}, |
|
{ |
|
"epoch": 0.3288780882948562, |
|
"grad_norm": 2.03104305267334, |
|
"learning_rate": 0.0002325228918535541, |
|
"loss": 0.3189, |
|
"step": 203 |
|
}, |
|
{ |
|
"epoch": 0.33697853381936005, |
|
"eval_loss": 0.33059319853782654, |
|
"eval_runtime": 12.4539, |
|
"eval_samples_per_second": 40.148, |
|
"eval_steps_per_second": 5.059, |
|
"step": 208 |
|
}, |
|
{ |
|
"epoch": 0.3402187120291616, |
|
"grad_norm": 2.170870780944824, |
|
"learning_rate": 0.00022790860723748442, |
|
"loss": 0.3232, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.351559335763467, |
|
"grad_norm": 1.942113995552063, |
|
"learning_rate": 0.00022319105613226921, |
|
"loss": 0.3154, |
|
"step": 217 |
|
}, |
|
{ |
|
"epoch": 0.3580396921830701, |
|
"eval_loss": 0.32931268215179443, |
|
"eval_runtime": 86.8422, |
|
"eval_samples_per_second": 5.758, |
|
"eval_steps_per_second": 0.725, |
|
"step": 221 |
|
}, |
|
{ |
|
"epoch": 0.3628999594977724, |
|
"grad_norm": 1.8157175779342651, |
|
"learning_rate": 0.00021837649156895706, |
|
"loss": 0.3205, |
|
"step": 224 |
|
}, |
|
{ |
|
"epoch": 0.37424058323207776, |
|
"grad_norm": 2.035099983215332, |
|
"learning_rate": 0.00021347129516822945, |
|
"loss": 0.3149, |
|
"step": 231 |
|
}, |
|
{ |
|
"epoch": 0.37910085054678005, |
|
"eval_loss": 0.3263063430786133, |
|
"eval_runtime": 78.1253, |
|
"eval_samples_per_second": 6.4, |
|
"eval_steps_per_second": 0.806, |
|
"step": 234 |
|
}, |
|
{ |
|
"epoch": 0.38558120696638315, |
|
"grad_norm": 2.07989764213562, |
|
"learning_rate": 0.00020848196868167505, |
|
"loss": 0.3115, |
|
"step": 238 |
|
}, |
|
{ |
|
"epoch": 0.39692183070068854, |
|
"grad_norm": 1.8494740724563599, |
|
"learning_rate": 0.000203415125373832, |
|
"loss": 0.3099, |
|
"step": 245 |
|
}, |
|
{ |
|
"epoch": 0.4001620089104901, |
|
"eval_loss": 0.32076019048690796, |
|
"eval_runtime": 12.4446, |
|
"eval_samples_per_second": 40.178, |
|
"eval_steps_per_second": 5.062, |
|
"step": 247 |
|
}, |
|
{ |
|
"epoch": 0.4082624544349939, |
|
"grad_norm": 2.0092668533325195, |
|
"learning_rate": 0.00019827748125642242, |
|
"loss": 0.3131, |
|
"step": 252 |
|
}, |
|
{ |
|
"epoch": 0.4196030781692993, |
|
"grad_norm": 2.0937247276306152, |
|
"learning_rate": 0.0001930758461863965, |
|
"loss": 0.3089, |
|
"step": 259 |
|
}, |
|
{ |
|
"epoch": 0.42122316727420006, |
|
"eval_loss": 0.3143251836299896, |
|
"eval_runtime": 77.5222, |
|
"eval_samples_per_second": 6.45, |
|
"eval_steps_per_second": 0.813, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.4309437019036047, |
|
"grad_norm": 2.0988640785217285, |
|
"learning_rate": 0.0001878171148395872, |
|
"loss": 0.3124, |
|
"step": 266 |
|
}, |
|
{ |
|
"epoch": 0.4422843256379101, |
|
"grad_norm": 2.4692976474761963, |
|
"learning_rate": 0.00018250825757193848, |
|
"loss": 0.3125, |
|
"step": 273 |
|
}, |
|
{ |
|
"epoch": 0.4422843256379101, |
|
"eval_loss": 0.31036385893821716, |
|
"eval_runtime": 84.8095, |
|
"eval_samples_per_second": 5.896, |
|
"eval_steps_per_second": 0.743, |
|
"step": 273 |
|
}, |
|
{ |
|
"epoch": 0.4536249493722155, |
|
"grad_norm": 1.8889740705490112, |
|
"learning_rate": 0.0001771563111804211, |
|
"loss": 0.2959, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.46334548400162007, |
|
"eval_loss": 0.30606991052627563, |
|
"eval_runtime": 12.4497, |
|
"eval_samples_per_second": 40.162, |
|
"eval_steps_per_second": 5.06, |
|
"step": 286 |
|
}, |
|
{ |
|
"epoch": 0.46496557310652087, |
|
"grad_norm": 2.023824691772461, |
|
"learning_rate": 0.0001717683695758819, |
|
"loss": 0.299, |
|
"step": 287 |
|
}, |
|
{ |
|
"epoch": 0.47630619684082626, |
|
"grad_norm": 2.0295095443725586, |
|
"learning_rate": 0.00016635157438018983, |
|
"loss": 0.3042, |
|
"step": 294 |
|
}, |
|
{ |
|
"epoch": 0.4844066423653301, |
|
"eval_loss": 0.2992589473724365, |
|
"eval_runtime": 75.8225, |
|
"eval_samples_per_second": 6.594, |
|
"eval_steps_per_second": 0.831, |
|
"step": 299 |
|
}, |
|
{ |
|
"epoch": 0.48764682057513165, |
|
"grad_norm": 1.946453332901001, |
|
"learning_rate": 0.0001609131054601416, |
|
"loss": 0.294, |
|
"step": 301 |
|
}, |
|
{ |
|
"epoch": 0.49898744430943703, |
|
"grad_norm": 1.9718040227890015, |
|
"learning_rate": 0.00015546017141067432, |
|
"loss": 0.2829, |
|
"step": 308 |
|
}, |
|
{ |
|
"epoch": 0.5054678007290401, |
|
"eval_loss": 0.294008731842041, |
|
"eval_runtime": 82.5163, |
|
"eval_samples_per_second": 6.059, |
|
"eval_steps_per_second": 0.763, |
|
"step": 312 |
|
}, |
|
{ |
|
"epoch": 0.5103280680437424, |
|
"grad_norm": 1.8706125020980835, |
|
"learning_rate": 0.00015, |
|
"loss": 0.2802, |
|
"step": 315 |
|
}, |
|
{ |
|
"epoch": 0.5216686917780478, |
|
"grad_norm": 1.961658000946045, |
|
"learning_rate": 0.0001445398285893257, |
|
"loss": 0.2832, |
|
"step": 322 |
|
}, |
|
{ |
|
"epoch": 0.5265289590927501, |
|
"eval_loss": 0.2878178656101227, |
|
"eval_runtime": 12.4298, |
|
"eval_samples_per_second": 40.226, |
|
"eval_steps_per_second": 5.068, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 0.5330093155123532, |
|
"grad_norm": 1.774943232536316, |
|
"learning_rate": 0.0001390868945398584, |
|
"loss": 0.2763, |
|
"step": 329 |
|
}, |
|
{ |
|
"epoch": 0.5443499392466585, |
|
"grad_norm": 2.2113044261932373, |
|
"learning_rate": 0.00013364842561981014, |
|
"loss": 0.2715, |
|
"step": 336 |
|
}, |
|
{ |
|
"epoch": 0.5475901174564601, |
|
"eval_loss": 0.2820768654346466, |
|
"eval_runtime": 85.9045, |
|
"eval_samples_per_second": 5.82, |
|
"eval_steps_per_second": 0.733, |
|
"step": 338 |
|
}, |
|
{ |
|
"epoch": 0.555690562980964, |
|
"grad_norm": 1.9216161966323853, |
|
"learning_rate": 0.00012823163042411807, |
|
"loss": 0.2706, |
|
"step": 343 |
|
}, |
|
{ |
|
"epoch": 0.5670311867152693, |
|
"grad_norm": 2.2038073539733887, |
|
"learning_rate": 0.0001228436888195789, |
|
"loss": 0.2702, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.56865127582017, |
|
"eval_loss": 0.27528542280197144, |
|
"eval_runtime": 76.8796, |
|
"eval_samples_per_second": 6.504, |
|
"eval_steps_per_second": 0.819, |
|
"step": 351 |
|
}, |
|
{ |
|
"epoch": 0.5783718104495748, |
|
"grad_norm": 2.00290846824646, |
|
"learning_rate": 0.00011749174242806152, |
|
"loss": 0.2704, |
|
"step": 357 |
|
}, |
|
{ |
|
"epoch": 0.5897124341838801, |
|
"grad_norm": 1.8399847745895386, |
|
"learning_rate": 0.00011218288516041279, |
|
"loss": 0.2687, |
|
"step": 364 |
|
}, |
|
{ |
|
"epoch": 0.5897124341838801, |
|
"eval_loss": 0.2687266170978546, |
|
"eval_runtime": 12.4501, |
|
"eval_samples_per_second": 40.16, |
|
"eval_steps_per_second": 5.06, |
|
"step": 364 |
|
}, |
|
{ |
|
"epoch": 0.6010530579181855, |
|
"grad_norm": 1.754230260848999, |
|
"learning_rate": 0.00010692415381360349, |
|
"loss": 0.2604, |
|
"step": 371 |
|
}, |
|
{ |
|
"epoch": 0.6107735925475901, |
|
"eval_loss": 0.26285678148269653, |
|
"eval_runtime": 89.7111, |
|
"eval_samples_per_second": 5.573, |
|
"eval_steps_per_second": 0.702, |
|
"step": 377 |
|
}, |
|
{ |
|
"epoch": 0.6123936816524909, |
|
"grad_norm": 2.0383028984069824, |
|
"learning_rate": 0.00010172251874357757, |
|
"loss": 0.2565, |
|
"step": 378 |
|
}, |
|
{ |
|
"epoch": 0.6237343053867963, |
|
"grad_norm": 1.9088571071624756, |
|
"learning_rate": 9.658487462616794e-05, |
|
"loss": 0.252, |
|
"step": 385 |
|
}, |
|
{ |
|
"epoch": 0.6318347509113001, |
|
"eval_loss": 0.25791773200035095, |
|
"eval_runtime": 88.6204, |
|
"eval_samples_per_second": 5.642, |
|
"eval_steps_per_second": 0.711, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.6350749291211016, |
|
"grad_norm": 1.8957221508026123, |
|
"learning_rate": 9.151803131832493e-05, |
|
"loss": 0.2709, |
|
"step": 392 |
|
}, |
|
{ |
|
"epoch": 0.6464155528554071, |
|
"grad_norm": 1.6993653774261475, |
|
"learning_rate": 8.652870483177049e-05, |
|
"loss": 0.2537, |
|
"step": 399 |
|
}, |
|
{ |
|
"epoch": 0.6528959092750102, |
|
"eval_loss": 0.2528708577156067, |
|
"eval_runtime": 12.4911, |
|
"eval_samples_per_second": 40.028, |
|
"eval_steps_per_second": 5.044, |
|
"step": 403 |
|
}, |
|
{ |
|
"epoch": 0.6577561765897124, |
|
"grad_norm": 1.844677209854126, |
|
"learning_rate": 8.162350843104291e-05, |
|
"loss": 0.2468, |
|
"step": 406 |
|
}, |
|
{ |
|
"epoch": 0.6690968003240179, |
|
"grad_norm": 1.943462610244751, |
|
"learning_rate": 7.680894386773072e-05, |
|
"loss": 0.2535, |
|
"step": 413 |
|
}, |
|
{ |
|
"epoch": 0.6739570676387201, |
|
"eval_loss": 0.24768707156181335, |
|
"eval_runtime": 89.239, |
|
"eval_samples_per_second": 5.603, |
|
"eval_steps_per_second": 0.706, |
|
"step": 416 |
|
}, |
|
{ |
|
"epoch": 0.6804374240583232, |
|
"grad_norm": 1.9346702098846436, |
|
"learning_rate": 7.209139276251558e-05, |
|
"loss": 0.2472, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.6917780477926286, |
|
"grad_norm": 1.684934377670288, |
|
"learning_rate": 6.747710814644589e-05, |
|
"loss": 0.2442, |
|
"step": 427 |
|
}, |
|
{ |
|
"epoch": 0.6950182260024301, |
|
"eval_loss": 0.24250428378582, |
|
"eval_runtime": 90.1456, |
|
"eval_samples_per_second": 5.547, |
|
"eval_steps_per_second": 0.699, |
|
"step": 429 |
|
}, |
|
{ |
|
"epoch": 0.703118671526934, |
|
"grad_norm": 1.652444839477539, |
|
"learning_rate": 6.297220617265435e-05, |
|
"loss": 0.233, |
|
"step": 434 |
|
}, |
|
{ |
|
"epoch": 0.7144592952612394, |
|
"grad_norm": 1.749850869178772, |
|
"learning_rate": 5.858265800950438e-05, |
|
"loss": 0.2451, |
|
"step": 441 |
|
}, |
|
{ |
|
"epoch": 0.7160793843661402, |
|
"eval_loss": 0.237756609916687, |
|
"eval_runtime": 12.447, |
|
"eval_samples_per_second": 40.17, |
|
"eval_steps_per_second": 5.061, |
|
"step": 442 |
|
}, |
|
{ |
|
"epoch": 0.7257999189955447, |
|
"grad_norm": 1.607130527496338, |
|
"learning_rate": 5.4314281925911634e-05, |
|
"loss": 0.2291, |
|
"step": 448 |
|
}, |
|
{ |
|
"epoch": 0.7371405427298502, |
|
"grad_norm": 1.7240676879882812, |
|
"learning_rate": 5.0172735579330526e-05, |
|
"loss": 0.2275, |
|
"step": 455 |
|
}, |
|
{ |
|
"epoch": 0.7371405427298502, |
|
"eval_loss": 0.23375177383422852, |
|
"eval_runtime": 88.4413, |
|
"eval_samples_per_second": 5.653, |
|
"eval_steps_per_second": 0.712, |
|
"step": 455 |
|
}, |
|
{ |
|
"epoch": 0.7484811664641555, |
|
"grad_norm": 1.821494698524475, |
|
"learning_rate": 4.616350851662895e-05, |
|
"loss": 0.2288, |
|
"step": 462 |
|
}, |
|
{ |
|
"epoch": 0.7582017010935601, |
|
"eval_loss": 0.23097103834152222, |
|
"eval_runtime": 91.1616, |
|
"eval_samples_per_second": 5.485, |
|
"eval_steps_per_second": 0.691, |
|
"step": 468 |
|
}, |
|
{ |
|
"epoch": 0.759821790198461, |
|
"grad_norm": 1.6781857013702393, |
|
"learning_rate": 4.229191489779047e-05, |
|
"loss": 0.2291, |
|
"step": 469 |
|
}, |
|
{ |
|
"epoch": 0.7711624139327663, |
|
"grad_norm": 1.8011544942855835, |
|
"learning_rate": 3.8563086452088506e-05, |
|
"loss": 0.2323, |
|
"step": 476 |
|
}, |
|
{ |
|
"epoch": 0.7792628594572701, |
|
"eval_loss": 0.22944015264511108, |
|
"eval_runtime": 12.4573, |
|
"eval_samples_per_second": 40.137, |
|
"eval_steps_per_second": 5.057, |
|
"step": 481 |
|
}, |
|
{ |
|
"epoch": 0.7825030376670717, |
|
"grad_norm": 1.6624199151992798, |
|
"learning_rate": 3.498196567606959e-05, |
|
"loss": 0.2238, |
|
"step": 483 |
|
}, |
|
{ |
|
"epoch": 0.7938436614013771, |
|
"grad_norm": 1.7592713832855225, |
|
"learning_rate": 3.1553299282360966e-05, |
|
"loss": 0.2254, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.8003240178209802, |
|
"eval_loss": 0.225956991314888, |
|
"eval_runtime": 79.2699, |
|
"eval_samples_per_second": 6.308, |
|
"eval_steps_per_second": 0.795, |
|
"step": 494 |
|
}, |
|
{ |
|
"epoch": 0.8051842851356824, |
|
"grad_norm": 1.757391333580017, |
|
"learning_rate": 2.828163190798644e-05, |
|
"loss": 0.2203, |
|
"step": 497 |
|
}, |
|
{ |
|
"epoch": 0.8165249088699879, |
|
"grad_norm": 1.7900511026382446, |
|
"learning_rate": 2.5171300090530106e-05, |
|
"loss": 0.2142, |
|
"step": 504 |
|
}, |
|
{ |
|
"epoch": 0.8213851761846902, |
|
"eval_loss": 0.22206208109855652, |
|
"eval_runtime": 85.0506, |
|
"eval_samples_per_second": 5.879, |
|
"eval_steps_per_second": 0.741, |
|
"step": 507 |
|
}, |
|
{ |
|
"epoch": 0.8278655326042932, |
|
"grad_norm": 1.7866923809051514, |
|
"learning_rate": 2.2226426520131734e-05, |
|
"loss": 0.2147, |
|
"step": 511 |
|
}, |
|
{ |
|
"epoch": 0.8392061563385986, |
|
"grad_norm": 1.5760256052017212, |
|
"learning_rate": 1.9450914574933725e-05, |
|
"loss": 0.219, |
|
"step": 518 |
|
}, |
|
{ |
|
"epoch": 0.8424463345484001, |
|
"eval_loss": 0.21945638954639435, |
|
"eval_runtime": 12.4577, |
|
"eval_samples_per_second": 40.136, |
|
"eval_steps_per_second": 5.057, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.850546780072904, |
|
"grad_norm": 1.7267919778823853, |
|
"learning_rate": 1.6848443147221828e-05, |
|
"loss": 0.2101, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 0.8618874038072094, |
|
"grad_norm": 1.6345723867416382, |
|
"learning_rate": 1.4422461767118233e-05, |
|
"loss": 0.2133, |
|
"step": 532 |
|
}, |
|
{ |
|
"epoch": 0.8635074929121102, |
|
"eval_loss": 0.2179647982120514, |
|
"eval_runtime": 85.1994, |
|
"eval_samples_per_second": 5.869, |
|
"eval_steps_per_second": 0.739, |
|
"step": 533 |
|
}, |
|
{ |
|
"epoch": 0.8732280275415147, |
|
"grad_norm": 1.4804401397705078, |
|
"learning_rate": 1.2176186030289936e-05, |
|
"loss": 0.2136, |
|
"step": 539 |
|
}, |
|
{ |
|
"epoch": 0.8845686512758202, |
|
"grad_norm": 1.593434453010559, |
|
"learning_rate": 1.011259333573326e-05, |
|
"loss": 0.2095, |
|
"step": 546 |
|
}, |
|
{ |
|
"epoch": 0.8845686512758202, |
|
"eval_loss": 0.21640805900096893, |
|
"eval_runtime": 75.9951, |
|
"eval_samples_per_second": 6.579, |
|
"eval_steps_per_second": 0.829, |
|
"step": 546 |
|
}, |
|
{ |
|
"epoch": 0.8959092750101255, |
|
"grad_norm": 1.5899996757507324, |
|
"learning_rate": 8.234418939283866e-06, |
|
"loss": 0.2067, |
|
"step": 553 |
|
}, |
|
{ |
|
"epoch": 0.9056298096395302, |
|
"eval_loss": 0.2154710441827774, |
|
"eval_runtime": 12.505, |
|
"eval_samples_per_second": 39.984, |
|
"eval_steps_per_second": 5.038, |
|
"step": 559 |
|
}, |
|
{ |
|
"epoch": 0.907249898744431, |
|
"grad_norm": 1.567068099975586, |
|
"learning_rate": 6.544152328083152e-06, |
|
"loss": 0.2117, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.9185905224787363, |
|
"grad_norm": 1.676525354385376, |
|
"learning_rate": 5.044033920806933e-06, |
|
"loss": 0.2073, |
|
"step": 567 |
|
}, |
|
{ |
|
"epoch": 0.9266909680032401, |
|
"eval_loss": 0.21462255716323853, |
|
"eval_runtime": 87.8678, |
|
"eval_samples_per_second": 5.69, |
|
"eval_steps_per_second": 0.717, |
|
"step": 572 |
|
}, |
|
{ |
|
"epoch": 0.9299311462130417, |
|
"grad_norm": 1.5873310565948486, |
|
"learning_rate": 3.7360520980297514e-06, |
|
"loss": 0.208, |
|
"step": 574 |
|
}, |
|
{ |
|
"epoch": 0.9412717699473471, |
|
"grad_norm": 1.7347217798233032, |
|
"learning_rate": 2.6219405666614402e-06, |
|
"loss": 0.2124, |
|
"step": 581 |
|
}, |
|
{ |
|
"epoch": 0.9477521263669502, |
|
"eval_loss": 0.21402177214622498, |
|
"eval_runtime": 87.5614, |
|
"eval_samples_per_second": 5.71, |
|
"eval_steps_per_second": 0.719, |
|
"step": 585 |
|
}, |
|
{ |
|
"epoch": 0.9526123936816525, |
|
"grad_norm": 1.8601125478744507, |
|
"learning_rate": 1.7031760619491353e-06, |
|
"loss": 0.2076, |
|
"step": 588 |
|
}, |
|
{ |
|
"epoch": 0.9639530174159578, |
|
"grad_norm": 1.6909899711608887, |
|
"learning_rate": 9.809763900905875e-07, |
|
"loss": 0.2115, |
|
"step": 595 |
|
}, |
|
{ |
|
"epoch": 0.9688132847306602, |
|
"eval_loss": 0.21379441022872925, |
|
"eval_runtime": 12.4885, |
|
"eval_samples_per_second": 40.037, |
|
"eval_steps_per_second": 5.045, |
|
"step": 598 |
|
}, |
|
{ |
|
"epoch": 0.9752936411502633, |
|
"grad_norm": 1.5291049480438232, |
|
"learning_rate": 4.562988140535073e-07, |
|
"loss": 0.2071, |
|
"step": 602 |
|
}, |
|
{ |
|
"epoch": 0.9866342648845686, |
|
"grad_norm": 1.775606632232666, |
|
"learning_rate": 1.298387847403437e-07, |
|
"loss": 0.2127, |
|
"step": 609 |
|
}, |
|
{ |
|
"epoch": 0.9898744430943702, |
|
"eval_loss": 0.21362636983394623, |
|
"eval_runtime": 90.3482, |
|
"eval_samples_per_second": 5.534, |
|
"eval_steps_per_second": 0.697, |
|
"step": 611 |
|
} |
|
], |
|
"logging_steps": 7, |
|
"max_steps": 617, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 13, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 7.406584397518602e+17, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|