| { | |
| "best_metric": 0.18765884637832642, | |
| "best_model_checkpoint": "/home/datta0/models/lora_final/Qwen2-7B_metamath_default/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": 1.5377665758132935, | |
| "learning_rate": 0.00016153846153846153, | |
| "loss": 0.1753, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.021061158363710003, | |
| "eval_loss": 0.18765884637832642, | |
| "eval_runtime": 12.39, | |
| "eval_samples_per_second": 40.355, | |
| "eval_steps_per_second": 5.085, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.022681247468610773, | |
| "grad_norm": 2.192612409591675, | |
| "learning_rate": 0.0002999979709808197, | |
| "loss": 0.1716, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.03402187120291616, | |
| "grad_norm": 2.496940851211548, | |
| "learning_rate": 0.0002998701612152596, | |
| "loss": 0.2034, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.042122316727420006, | |
| "eval_loss": 0.2530185580253601, | |
| "eval_runtime": 81.8512, | |
| "eval_samples_per_second": 6.109, | |
| "eval_steps_per_second": 0.77, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.04536249493722155, | |
| "grad_norm": 2.3953869342803955, | |
| "learning_rate": 0.0002995437011859465, | |
| "loss": 0.2398, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.056703118671526935, | |
| "grad_norm": 2.8134021759033203, | |
| "learning_rate": 0.00029901902360990936, | |
| "loss": 0.261, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.06318347509113001, | |
| "eval_loss": 0.2844119071960449, | |
| "eval_runtime": 86.8656, | |
| "eval_samples_per_second": 5.756, | |
| "eval_steps_per_second": 0.725, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.06804374240583232, | |
| "grad_norm": 2.448476791381836, | |
| "learning_rate": 0.00029829682393805085, | |
| "loss": 0.2623, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.0793843661401377, | |
| "grad_norm": 2.409214973449707, | |
| "learning_rate": 0.0002973780594333385, | |
| "loss": 0.2864, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.08424463345484001, | |
| "eval_loss": 0.3106594681739807, | |
| "eval_runtime": 12.4045, | |
| "eval_samples_per_second": 40.308, | |
| "eval_steps_per_second": 5.079, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.0907249898744431, | |
| "grad_norm": 2.424531936645508, | |
| "learning_rate": 0.00029626394790197025, | |
| "loss": 0.3005, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.10206561360874848, | |
| "grad_norm": 2.680947780609131, | |
| "learning_rate": 0.00029495596607919305, | |
| "loss": 0.2984, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.10530579181855002, | |
| "eval_loss": 0.32644107937812805, | |
| "eval_runtime": 85.363, | |
| "eval_samples_per_second": 5.857, | |
| "eval_steps_per_second": 0.738, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.11340623734305387, | |
| "grad_norm": 2.4300179481506348, | |
| "learning_rate": 0.00029345584767191685, | |
| "loss": 0.306, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.12474686107735926, | |
| "grad_norm": 2.570291519165039, | |
| "learning_rate": 0.0002917655810607161, | |
| "loss": 0.318, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.12636695018226002, | |
| "eval_loss": 0.33606359362602234, | |
| "eval_runtime": 75.386, | |
| "eval_samples_per_second": 6.633, | |
| "eval_steps_per_second": 0.836, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.13608748481166463, | |
| "grad_norm": 2.4007227420806885, | |
| "learning_rate": 0.0002898874066642667, | |
| "loss": 0.3192, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.14742810854597002, | |
| "grad_norm": 2.463517427444458, | |
| "learning_rate": 0.00028782381396971003, | |
| "loss": 0.3257, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.14742810854597002, | |
| "eval_loss": 0.3400190472602844, | |
| "eval_runtime": 12.4934, | |
| "eval_samples_per_second": 40.021, | |
| "eval_steps_per_second": 5.043, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.1587687322802754, | |
| "grad_norm": 2.301016330718994, | |
| "learning_rate": 0.00028557753823288173, | |
| "loss": 0.3139, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 0.16848926690968002, | |
| "eval_loss": 0.33769935369491577, | |
| "eval_runtime": 90.0772, | |
| "eval_samples_per_second": 5.551, | |
| "eval_steps_per_second": 0.699, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.1701093560145808, | |
| "grad_norm": 2.232789993286133, | |
| "learning_rate": 0.0002831515568527781, | |
| "loss": 0.326, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.1814499797488862, | |
| "grad_norm": 2.174959897994995, | |
| "learning_rate": 0.00028054908542506627, | |
| "loss": 0.327, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.18955042527339003, | |
| "eval_loss": 0.3428936302661896, | |
| "eval_runtime": 89.6799, | |
| "eval_samples_per_second": 5.575, | |
| "eval_steps_per_second": 0.702, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 0.19279060348319157, | |
| "grad_norm": 2.3661577701568604, | |
| "learning_rate": 0.00027777357347986823, | |
| "loss": 0.319, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 0.20413122721749696, | |
| "grad_norm": 2.149407386779785, | |
| "learning_rate": 0.00027482869990946986, | |
| "loss": 0.3219, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 0.21061158363710003, | |
| "eval_loss": 0.3457578420639038, | |
| "eval_runtime": 12.3968, | |
| "eval_samples_per_second": 40.333, | |
| "eval_steps_per_second": 5.082, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.21547185095180235, | |
| "grad_norm": 2.0185813903808594, | |
| "learning_rate": 0.0002717183680920135, | |
| "loss": 0.3251, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 0.22681247468610774, | |
| "grad_norm": 2.2934110164642334, | |
| "learning_rate": 0.00026844670071763906, | |
| "loss": 0.3325, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.23167274200081003, | |
| "eval_loss": 0.34575140476226807, | |
| "eval_runtime": 90.2436, | |
| "eval_samples_per_second": 5.541, | |
| "eval_steps_per_second": 0.698, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 0.23815309842041313, | |
| "grad_norm": 2.0038561820983887, | |
| "learning_rate": 0.00026501803432393037, | |
| "loss": 0.3276, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 0.24949372215471852, | |
| "grad_norm": 2.029125690460205, | |
| "learning_rate": 0.00026143691354791145, | |
| "loss": 0.3273, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 0.25273390036452004, | |
| "eval_loss": 0.34069105982780457, | |
| "eval_runtime": 82.809, | |
| "eval_samples_per_second": 6.038, | |
| "eval_steps_per_second": 0.761, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 0.2608343458890239, | |
| "grad_norm": 2.2533740997314453, | |
| "learning_rate": 0.00025770808510220956, | |
| "loss": 0.3313, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 0.27217496962332927, | |
| "grad_norm": 2.204942226409912, | |
| "learning_rate": 0.00025383649148337105, | |
| "loss": 0.3328, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.27379505872823007, | |
| "eval_loss": 0.3394912779331207, | |
| "eval_runtime": 12.4532, | |
| "eval_samples_per_second": 40.15, | |
| "eval_steps_per_second": 5.059, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 0.28351559335763465, | |
| "grad_norm": 2.162797689437866, | |
| "learning_rate": 0.0002498272644206695, | |
| "loss": 0.3332, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.29485621709194004, | |
| "grad_norm": 2.1584229469299316, | |
| "learning_rate": 0.0002456857180740884, | |
| "loss": 0.32, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 0.29485621709194004, | |
| "eval_loss": 0.33717018365859985, | |
| "eval_runtime": 77.5777, | |
| "eval_samples_per_second": 6.445, | |
| "eval_steps_per_second": 0.812, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 0.30619684082624543, | |
| "grad_norm": 2.1494665145874023, | |
| "learning_rate": 0.0002414173419904956, | |
| "loss": 0.3293, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 0.3159173754556501, | |
| "eval_loss": 0.33609288930892944, | |
| "eval_runtime": 93.3699, | |
| "eval_samples_per_second": 5.355, | |
| "eval_steps_per_second": 0.675, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.3175374645605508, | |
| "grad_norm": 1.9434106349945068, | |
| "learning_rate": 0.00023702779382734566, | |
| "loss": 0.32, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 0.3288780882948562, | |
| "grad_norm": 1.9602625370025635, | |
| "learning_rate": 0.0002325228918535541, | |
| "loss": 0.3182, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 0.33697853381936005, | |
| "eval_loss": 0.3306241035461426, | |
| "eval_runtime": 12.4056, | |
| "eval_samples_per_second": 40.304, | |
| "eval_steps_per_second": 5.078, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.3402187120291616, | |
| "grad_norm": 2.2286486625671387, | |
| "learning_rate": 0.00022790860723748442, | |
| "loss": 0.3218, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.351559335763467, | |
| "grad_norm": 2.0589637756347656, | |
| "learning_rate": 0.00022319105613226921, | |
| "loss": 0.3148, | |
| "step": 217 | |
| }, | |
| { | |
| "epoch": 0.3580396921830701, | |
| "eval_loss": 0.3287665545940399, | |
| "eval_runtime": 77.8166, | |
| "eval_samples_per_second": 6.425, | |
| "eval_steps_per_second": 0.81, | |
| "step": 221 | |
| }, | |
| { | |
| "epoch": 0.3628999594977724, | |
| "grad_norm": 1.8553071022033691, | |
| "learning_rate": 0.00021837649156895706, | |
| "loss": 0.3206, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.37424058323207776, | |
| "grad_norm": 2.019782304763794, | |
| "learning_rate": 0.00021347129516822945, | |
| "loss": 0.3128, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 0.37910085054678005, | |
| "eval_loss": 0.32550591230392456, | |
| "eval_runtime": 78.3487, | |
| "eval_samples_per_second": 6.382, | |
| "eval_steps_per_second": 0.804, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 0.38558120696638315, | |
| "grad_norm": 2.100358247756958, | |
| "learning_rate": 0.00020848196868167505, | |
| "loss": 0.3111, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 0.39692183070068854, | |
| "grad_norm": 1.8522151708602905, | |
| "learning_rate": 0.000203415125373832, | |
| "loss": 0.3086, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.4001620089104901, | |
| "eval_loss": 0.3193366825580597, | |
| "eval_runtime": 12.4578, | |
| "eval_samples_per_second": 40.136, | |
| "eval_steps_per_second": 5.057, | |
| "step": 247 | |
| }, | |
| { | |
| "epoch": 0.4082624544349939, | |
| "grad_norm": 2.0124332904815674, | |
| "learning_rate": 0.00019827748125642242, | |
| "loss": 0.3119, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 0.4196030781692993, | |
| "grad_norm": 2.0748066902160645, | |
| "learning_rate": 0.0001930758461863965, | |
| "loss": 0.306, | |
| "step": 259 | |
| }, | |
| { | |
| "epoch": 0.42122316727420006, | |
| "eval_loss": 0.31428423523902893, | |
| "eval_runtime": 92.6512, | |
| "eval_samples_per_second": 5.397, | |
| "eval_steps_per_second": 0.68, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.4309437019036047, | |
| "grad_norm": 2.1250007152557373, | |
| "learning_rate": 0.0001878171148395872, | |
| "loss": 0.3068, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 0.4422843256379101, | |
| "grad_norm": 2.4317753314971924, | |
| "learning_rate": 0.00018250825757193848, | |
| "loss": 0.3122, | |
| "step": 273 | |
| }, | |
| { | |
| "epoch": 0.4422843256379101, | |
| "eval_loss": 0.31197118759155273, | |
| "eval_runtime": 82.8282, | |
| "eval_samples_per_second": 6.037, | |
| "eval_steps_per_second": 0.761, | |
| "step": 273 | |
| }, | |
| { | |
| "epoch": 0.4536249493722155, | |
| "grad_norm": 1.870219349861145, | |
| "learning_rate": 0.0001771563111804211, | |
| "loss": 0.2982, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.46334548400162007, | |
| "eval_loss": 0.30591174960136414, | |
| "eval_runtime": 12.4327, | |
| "eval_samples_per_second": 40.217, | |
| "eval_steps_per_second": 5.067, | |
| "step": 286 | |
| }, | |
| { | |
| "epoch": 0.46496557310652087, | |
| "grad_norm": 2.021221399307251, | |
| "learning_rate": 0.0001717683695758819, | |
| "loss": 0.2994, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 0.47630619684082626, | |
| "grad_norm": 1.954991340637207, | |
| "learning_rate": 0.00016635157438018983, | |
| "loss": 0.3023, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 0.4844066423653301, | |
| "eval_loss": 0.29642820358276367, | |
| "eval_runtime": 87.2692, | |
| "eval_samples_per_second": 5.729, | |
| "eval_steps_per_second": 0.722, | |
| "step": 299 | |
| }, | |
| { | |
| "epoch": 0.48764682057513165, | |
| "grad_norm": 1.9946343898773193, | |
| "learning_rate": 0.0001609131054601416, | |
| "loss": 0.2936, | |
| "step": 301 | |
| }, | |
| { | |
| "epoch": 0.49898744430943703, | |
| "grad_norm": 1.9908640384674072, | |
| "learning_rate": 0.00015546017141067432, | |
| "loss": 0.2827, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 0.5054678007290401, | |
| "eval_loss": 0.2939640283584595, | |
| "eval_runtime": 90.8498, | |
| "eval_samples_per_second": 5.504, | |
| "eval_steps_per_second": 0.693, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.5103280680437424, | |
| "grad_norm": 1.9648362398147583, | |
| "learning_rate": 0.00015, | |
| "loss": 0.2795, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.5216686917780478, | |
| "grad_norm": 1.9000581502914429, | |
| "learning_rate": 0.0001445398285893257, | |
| "loss": 0.2844, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 0.5265289590927501, | |
| "eval_loss": 0.2863557040691376, | |
| "eval_runtime": 12.4189, | |
| "eval_samples_per_second": 40.261, | |
| "eval_steps_per_second": 5.073, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.5330093155123532, | |
| "grad_norm": 1.860827088356018, | |
| "learning_rate": 0.0001390868945398584, | |
| "loss": 0.274, | |
| "step": 329 | |
| }, | |
| { | |
| "epoch": 0.5443499392466585, | |
| "grad_norm": 2.1385581493377686, | |
| "learning_rate": 0.00013364842561981014, | |
| "loss": 0.2733, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.5475901174564601, | |
| "eval_loss": 0.28282585740089417, | |
| "eval_runtime": 92.2187, | |
| "eval_samples_per_second": 5.422, | |
| "eval_steps_per_second": 0.683, | |
| "step": 338 | |
| }, | |
| { | |
| "epoch": 0.555690562980964, | |
| "grad_norm": 2.0149056911468506, | |
| "learning_rate": 0.00012823163042411807, | |
| "loss": 0.274, | |
| "step": 343 | |
| }, | |
| { | |
| "epoch": 0.5670311867152693, | |
| "grad_norm": 2.187378406524658, | |
| "learning_rate": 0.0001228436888195789, | |
| "loss": 0.2711, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.56865127582017, | |
| "eval_loss": 0.2776563763618469, | |
| "eval_runtime": 90.611, | |
| "eval_samples_per_second": 5.518, | |
| "eval_steps_per_second": 0.695, | |
| "step": 351 | |
| }, | |
| { | |
| "epoch": 0.5783718104495748, | |
| "grad_norm": 2.089923143386841, | |
| "learning_rate": 0.00011749174242806152, | |
| "loss": 0.2683, | |
| "step": 357 | |
| }, | |
| { | |
| "epoch": 0.5897124341838801, | |
| "grad_norm": 1.8779715299606323, | |
| "learning_rate": 0.00011218288516041279, | |
| "loss": 0.2714, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 0.5897124341838801, | |
| "eval_loss": 0.2723066508769989, | |
| "eval_runtime": 12.4698, | |
| "eval_samples_per_second": 40.097, | |
| "eval_steps_per_second": 5.052, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 0.6010530579181855, | |
| "grad_norm": 1.779288411140442, | |
| "learning_rate": 0.00010692415381360349, | |
| "loss": 0.2605, | |
| "step": 371 | |
| }, | |
| { | |
| "epoch": 0.6107735925475901, | |
| "eval_loss": 0.26519322395324707, | |
| "eval_runtime": 84.674, | |
| "eval_samples_per_second": 5.905, | |
| "eval_steps_per_second": 0.744, | |
| "step": 377 | |
| }, | |
| { | |
| "epoch": 0.6123936816524909, | |
| "grad_norm": 1.9808777570724487, | |
| "learning_rate": 0.00010172251874357757, | |
| "loss": 0.258, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 0.6237343053867963, | |
| "grad_norm": 1.8243378400802612, | |
| "learning_rate": 9.658487462616794e-05, | |
| "loss": 0.2527, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.6318347509113001, | |
| "eval_loss": 0.25875651836395264, | |
| "eval_runtime": 91.6131, | |
| "eval_samples_per_second": 5.458, | |
| "eval_steps_per_second": 0.688, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.6350749291211016, | |
| "grad_norm": 1.9190093278884888, | |
| "learning_rate": 9.151803131832493e-05, | |
| "loss": 0.2642, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 0.6464155528554071, | |
| "grad_norm": 1.7457456588745117, | |
| "learning_rate": 8.652870483177049e-05, | |
| "loss": 0.2526, | |
| "step": 399 | |
| }, | |
| { | |
| "epoch": 0.6528959092750102, | |
| "eval_loss": 0.2529118061065674, | |
| "eval_runtime": 12.4604, | |
| "eval_samples_per_second": 40.127, | |
| "eval_steps_per_second": 5.056, | |
| "step": 403 | |
| }, | |
| { | |
| "epoch": 0.6577561765897124, | |
| "grad_norm": 1.8457238674163818, | |
| "learning_rate": 8.162350843104291e-05, | |
| "loss": 0.2454, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 0.6690968003240179, | |
| "grad_norm": 2.0805020332336426, | |
| "learning_rate": 7.680894386773072e-05, | |
| "loss": 0.2522, | |
| "step": 413 | |
| }, | |
| { | |
| "epoch": 0.6739570676387201, | |
| "eval_loss": 0.24899975955486298, | |
| "eval_runtime": 72.2912, | |
| "eval_samples_per_second": 6.916, | |
| "eval_steps_per_second": 0.871, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 0.6804374240583232, | |
| "grad_norm": 1.816220998764038, | |
| "learning_rate": 7.209139276251558e-05, | |
| "loss": 0.2463, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.6917780477926286, | |
| "grad_norm": 1.8046435117721558, | |
| "learning_rate": 6.747710814644589e-05, | |
| "loss": 0.242, | |
| "step": 427 | |
| }, | |
| { | |
| "epoch": 0.6950182260024301, | |
| "eval_loss": 0.2447230964899063, | |
| "eval_runtime": 87.12, | |
| "eval_samples_per_second": 5.739, | |
| "eval_steps_per_second": 0.723, | |
| "step": 429 | |
| }, | |
| { | |
| "epoch": 0.703118671526934, | |
| "grad_norm": 1.6818225383758545, | |
| "learning_rate": 6.297220617265435e-05, | |
| "loss": 0.2353, | |
| "step": 434 | |
| }, | |
| { | |
| "epoch": 0.7144592952612394, | |
| "grad_norm": 1.6758326292037964, | |
| "learning_rate": 5.858265800950438e-05, | |
| "loss": 0.2443, | |
| "step": 441 | |
| }, | |
| { | |
| "epoch": 0.7160793843661402, | |
| "eval_loss": 0.23998361825942993, | |
| "eval_runtime": 12.4908, | |
| "eval_samples_per_second": 40.03, | |
| "eval_steps_per_second": 5.044, | |
| "step": 442 | |
| }, | |
| { | |
| "epoch": 0.7257999189955447, | |
| "grad_norm": 1.6476861238479614, | |
| "learning_rate": 5.4314281925911634e-05, | |
| "loss": 0.2292, | |
| "step": 448 | |
| }, | |
| { | |
| "epoch": 0.7371405427298502, | |
| "grad_norm": 1.7244728803634644, | |
| "learning_rate": 5.0172735579330526e-05, | |
| "loss": 0.2273, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 0.7371405427298502, | |
| "eval_loss": 0.23421922326087952, | |
| "eval_runtime": 86.8076, | |
| "eval_samples_per_second": 5.76, | |
| "eval_steps_per_second": 0.726, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 0.7484811664641555, | |
| "grad_norm": 1.8216646909713745, | |
| "learning_rate": 4.616350851662895e-05, | |
| "loss": 0.2288, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 0.7582017010935601, | |
| "eval_loss": 0.23177292943000793, | |
| "eval_runtime": 75.3199, | |
| "eval_samples_per_second": 6.638, | |
| "eval_steps_per_second": 0.836, | |
| "step": 468 | |
| }, | |
| { | |
| "epoch": 0.759821790198461, | |
| "grad_norm": 1.586669683456421, | |
| "learning_rate": 4.229191489779047e-05, | |
| "loss": 0.2292, | |
| "step": 469 | |
| }, | |
| { | |
| "epoch": 0.7711624139327663, | |
| "grad_norm": 1.7026342153549194, | |
| "learning_rate": 3.8563086452088506e-05, | |
| "loss": 0.2325, | |
| "step": 476 | |
| }, | |
| { | |
| "epoch": 0.7792628594572701, | |
| "eval_loss": 0.2292790412902832, | |
| "eval_runtime": 12.4917, | |
| "eval_samples_per_second": 40.026, | |
| "eval_steps_per_second": 5.043, | |
| "step": 481 | |
| }, | |
| { | |
| "epoch": 0.7825030376670717, | |
| "grad_norm": 1.7042219638824463, | |
| "learning_rate": 3.498196567606959e-05, | |
| "loss": 0.2251, | |
| "step": 483 | |
| }, | |
| { | |
| "epoch": 0.7938436614013771, | |
| "grad_norm": 1.819270372390747, | |
| "learning_rate": 3.1553299282360966e-05, | |
| "loss": 0.2264, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.8003240178209802, | |
| "eval_loss": 0.22619818150997162, | |
| "eval_runtime": 36.3759, | |
| "eval_samples_per_second": 13.745, | |
| "eval_steps_per_second": 1.732, | |
| "step": 494 | |
| }, | |
| { | |
| "epoch": 0.8051842851356824, | |
| "grad_norm": 1.7286969423294067, | |
| "learning_rate": 2.828163190798644e-05, | |
| "loss": 0.2215, | |
| "step": 497 | |
| }, | |
| { | |
| "epoch": 0.8165249088699879, | |
| "grad_norm": 1.7360488176345825, | |
| "learning_rate": 2.5171300090530106e-05, | |
| "loss": 0.2127, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 0.8213851761846902, | |
| "eval_loss": 0.2221684604883194, | |
| "eval_runtime": 36.6136, | |
| "eval_samples_per_second": 13.656, | |
| "eval_steps_per_second": 1.721, | |
| "step": 507 | |
| }, | |
| { | |
| "epoch": 0.8278655326042932, | |
| "grad_norm": 1.7685576677322388, | |
| "learning_rate": 2.2226426520131734e-05, | |
| "loss": 0.2131, | |
| "step": 511 | |
| }, | |
| { | |
| "epoch": 0.8392061563385986, | |
| "grad_norm": 1.4955885410308838, | |
| "learning_rate": 1.9450914574933725e-05, | |
| "loss": 0.2166, | |
| "step": 518 | |
| }, | |
| { | |
| "epoch": 0.8424463345484001, | |
| "eval_loss": 0.21989719569683075, | |
| "eval_runtime": 12.5227, | |
| "eval_samples_per_second": 39.927, | |
| "eval_steps_per_second": 5.031, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.850546780072904, | |
| "grad_norm": 1.7498217821121216, | |
| "learning_rate": 1.6848443147221828e-05, | |
| "loss": 0.2091, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 0.8618874038072094, | |
| "grad_norm": 1.6159402132034302, | |
| "learning_rate": 1.4422461767118233e-05, | |
| "loss": 0.2145, | |
| "step": 532 | |
| }, | |
| { | |
| "epoch": 0.8635074929121102, | |
| "eval_loss": 0.21832826733589172, | |
| "eval_runtime": 37.0243, | |
| "eval_samples_per_second": 13.505, | |
| "eval_steps_per_second": 1.702, | |
| "step": 533 | |
| }, | |
| { | |
| "epoch": 0.8732280275415147, | |
| "grad_norm": 1.4355424642562866, | |
| "learning_rate": 1.2176186030289936e-05, | |
| "loss": 0.2135, | |
| "step": 539 | |
| }, | |
| { | |
| "epoch": 0.8845686512758202, | |
| "grad_norm": 1.5615161657333374, | |
| "learning_rate": 1.011259333573326e-05, | |
| "loss": 0.2089, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 0.8845686512758202, | |
| "eval_loss": 0.2167486995458603, | |
| "eval_runtime": 36.6749, | |
| "eval_samples_per_second": 13.633, | |
| "eval_steps_per_second": 1.718, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 0.8959092750101255, | |
| "grad_norm": 1.593320608139038, | |
| "learning_rate": 8.234418939283866e-06, | |
| "loss": 0.206, | |
| "step": 553 | |
| }, | |
| { | |
| "epoch": 0.9056298096395302, | |
| "eval_loss": 0.21581247448921204, | |
| "eval_runtime": 12.5401, | |
| "eval_samples_per_second": 39.872, | |
| "eval_steps_per_second": 5.024, | |
| "step": 559 | |
| }, | |
| { | |
| "epoch": 0.907249898744431, | |
| "grad_norm": 1.4972048997879028, | |
| "learning_rate": 6.544152328083152e-06, | |
| "loss": 0.2116, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.9185905224787363, | |
| "grad_norm": 1.8363592624664307, | |
| "learning_rate": 5.044033920806933e-06, | |
| "loss": 0.2078, | |
| "step": 567 | |
| }, | |
| { | |
| "epoch": 0.9266909680032401, | |
| "eval_loss": 0.2153376042842865, | |
| "eval_runtime": 36.6671, | |
| "eval_samples_per_second": 13.636, | |
| "eval_steps_per_second": 1.718, | |
| "step": 572 | |
| }, | |
| { | |
| "epoch": 0.9299311462130417, | |
| "grad_norm": 1.574928879737854, | |
| "learning_rate": 3.7360520980297514e-06, | |
| "loss": 0.2076, | |
| "step": 574 | |
| }, | |
| { | |
| "epoch": 0.9412717699473471, | |
| "grad_norm": 1.6964603662490845, | |
| "learning_rate": 2.6219405666614402e-06, | |
| "loss": 0.2117, | |
| "step": 581 | |
| }, | |
| { | |
| "epoch": 0.9477521263669502, | |
| "eval_loss": 0.21471136808395386, | |
| "eval_runtime": 36.6697, | |
| "eval_samples_per_second": 13.635, | |
| "eval_steps_per_second": 1.718, | |
| "step": 585 | |
| }, | |
| { | |
| "epoch": 0.9526123936816525, | |
| "grad_norm": 1.8814630508422852, | |
| "learning_rate": 1.7031760619491353e-06, | |
| "loss": 0.207, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 0.9639530174159578, | |
| "grad_norm": 1.683011531829834, | |
| "learning_rate": 9.809763900905875e-07, | |
| "loss": 0.2125, | |
| "step": 595 | |
| }, | |
| { | |
| "epoch": 0.9688132847306602, | |
| "eval_loss": 0.2143588364124298, | |
| "eval_runtime": 12.559, | |
| "eval_samples_per_second": 39.812, | |
| "eval_steps_per_second": 5.016, | |
| "step": 598 | |
| }, | |
| { | |
| "epoch": 0.9752936411502633, | |
| "grad_norm": 1.555221676826477, | |
| "learning_rate": 4.562988140535073e-07, | |
| "loss": 0.207, | |
| "step": 602 | |
| }, | |
| { | |
| "epoch": 0.9866342648845686, | |
| "grad_norm": 1.7758488655090332, | |
| "learning_rate": 1.298387847403437e-07, | |
| "loss": 0.2118, | |
| "step": 609 | |
| }, | |
| { | |
| "epoch": 0.9898744430943702, | |
| "eval_loss": 0.21421405673027039, | |
| "eval_runtime": 36.5871, | |
| "eval_samples_per_second": 13.666, | |
| "eval_steps_per_second": 1.722, | |
| "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 | |
| } | |