| { | |
| "best_metric": 0.16356664896011353, | |
| "best_model_checkpoint": "./vit-indian-food/checkpoint-500", | |
| "epoch": 2.6178010471204187, | |
| "eval_steps": 50, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 6.967112064361572, | |
| "learning_rate": 0.00019895287958115185, | |
| "loss": 2.3423, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 6.768218517303467, | |
| "learning_rate": 0.00019790575916230367, | |
| "loss": 1.5082, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 6.283707141876221, | |
| "learning_rate": 0.0001968586387434555, | |
| "loss": 1.1555, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 4.167559623718262, | |
| "learning_rate": 0.00019581151832460733, | |
| "loss": 0.7045, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 6.519095420837402, | |
| "learning_rate": 0.00019476439790575917, | |
| "loss": 0.5942, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 4.0483479499816895, | |
| "learning_rate": 0.000193717277486911, | |
| "loss": 0.45, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 4.359745025634766, | |
| "learning_rate": 0.00019267015706806283, | |
| "loss": 0.3833, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 5.201784610748291, | |
| "learning_rate": 0.00019162303664921465, | |
| "loss": 0.3702, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 4.259886741638184, | |
| "learning_rate": 0.0001905759162303665, | |
| "loss": 0.3227, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 4.89500617980957, | |
| "learning_rate": 0.00018952879581151833, | |
| "loss": 0.2368, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_accuracy": 0.9002624671916011, | |
| "eval_loss": 0.33144867420196533, | |
| "eval_precision": 0.9131344269428404, | |
| "eval_recall": 0.9002624671916011, | |
| "eval_runtime": 17.436, | |
| "eval_samples_per_second": 43.703, | |
| "eval_steps_per_second": 2.753, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 4.650336265563965, | |
| "learning_rate": 0.00018848167539267018, | |
| "loss": 0.4139, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 4.881960391998291, | |
| "learning_rate": 0.00018743455497382202, | |
| "loss": 0.2109, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 5.3574066162109375, | |
| "learning_rate": 0.00018638743455497384, | |
| "loss": 0.3076, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 5.008607864379883, | |
| "learning_rate": 0.00018534031413612568, | |
| "loss": 0.2632, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 4.561398506164551, | |
| "learning_rate": 0.0001842931937172775, | |
| "loss": 0.2062, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 5.034663677215576, | |
| "learning_rate": 0.00018324607329842934, | |
| "loss": 0.4752, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 8.143318176269531, | |
| "learning_rate": 0.00018219895287958115, | |
| "loss": 0.3963, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 6.556373119354248, | |
| "learning_rate": 0.000181151832460733, | |
| "loss": 0.5088, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 4.414945125579834, | |
| "learning_rate": 0.0001801047120418848, | |
| "loss": 0.2903, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 2.464193820953369, | |
| "learning_rate": 0.00017905759162303666, | |
| "loss": 0.2801, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "eval_accuracy": 0.9422572178477691, | |
| "eval_loss": 0.18048594892024994, | |
| "eval_precision": 0.9466471604125616, | |
| "eval_recall": 0.9422572178477691, | |
| "eval_runtime": 17.2463, | |
| "eval_samples_per_second": 44.183, | |
| "eval_steps_per_second": 2.783, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 5.096113681793213, | |
| "learning_rate": 0.0001780104712041885, | |
| "loss": 0.213, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 1.4251294136047363, | |
| "learning_rate": 0.00017696335078534032, | |
| "loss": 0.1831, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 3.766965627670288, | |
| "learning_rate": 0.00017591623036649216, | |
| "loss": 0.1636, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 3.66446852684021, | |
| "learning_rate": 0.00017486910994764398, | |
| "loss": 0.3075, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 4.702181339263916, | |
| "learning_rate": 0.00017382198952879582, | |
| "loss": 0.2472, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 8.463685035705566, | |
| "learning_rate": 0.00017277486910994763, | |
| "loss": 0.4341, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 5.947971343994141, | |
| "learning_rate": 0.00017172774869109948, | |
| "loss": 0.2291, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 5.682934761047363, | |
| "learning_rate": 0.00017068062827225132, | |
| "loss": 0.1632, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 9.100614547729492, | |
| "learning_rate": 0.00016963350785340316, | |
| "loss": 0.307, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 4.207605361938477, | |
| "learning_rate": 0.00016858638743455498, | |
| "loss": 0.2362, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "eval_accuracy": 0.9186351706036745, | |
| "eval_loss": 0.29145774245262146, | |
| "eval_precision": 0.9273784378254858, | |
| "eval_recall": 0.9186351706036745, | |
| "eval_runtime": 17.4226, | |
| "eval_samples_per_second": 43.736, | |
| "eval_steps_per_second": 2.755, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 3.4303929805755615, | |
| "learning_rate": 0.00016753926701570682, | |
| "loss": 0.074, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 4.852244853973389, | |
| "learning_rate": 0.00016649214659685867, | |
| "loss": 0.2731, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 0.3142894506454468, | |
| "learning_rate": 0.00016544502617801048, | |
| "loss": 0.1295, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 3.892892360687256, | |
| "learning_rate": 0.00016439790575916233, | |
| "loss": 0.225, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 4.833043575286865, | |
| "learning_rate": 0.00016335078534031414, | |
| "loss": 0.2674, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 5.150189399719238, | |
| "learning_rate": 0.00016230366492146599, | |
| "loss": 0.241, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 5.426727771759033, | |
| "learning_rate": 0.0001612565445026178, | |
| "loss": 0.2049, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 5.2064738273620605, | |
| "learning_rate": 0.00016020942408376964, | |
| "loss": 0.1756, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 2.034318685531616, | |
| "learning_rate": 0.00015916230366492146, | |
| "loss": 0.0499, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 4.4703145027160645, | |
| "learning_rate": 0.0001581151832460733, | |
| "loss": 0.042, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "eval_accuracy": 0.9461942257217848, | |
| "eval_loss": 0.16130226850509644, | |
| "eval_precision": 0.9511635531837818, | |
| "eval_recall": 0.9461942257217848, | |
| "eval_runtime": 17.3623, | |
| "eval_samples_per_second": 43.888, | |
| "eval_steps_per_second": 2.765, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 0.06716866791248322, | |
| "learning_rate": 0.00015706806282722515, | |
| "loss": 0.0643, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 7.002842903137207, | |
| "learning_rate": 0.00015602094240837696, | |
| "loss": 0.1028, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 0.013943655416369438, | |
| "learning_rate": 0.0001549738219895288, | |
| "loss": 0.0941, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 0.42214348912239075, | |
| "learning_rate": 0.00015392670157068062, | |
| "loss": 0.0273, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 8.428805351257324, | |
| "learning_rate": 0.00015287958115183247, | |
| "loss": 0.0589, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 2.468398094177246, | |
| "learning_rate": 0.00015183246073298428, | |
| "loss": 0.0321, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 0.8661732077598572, | |
| "learning_rate": 0.00015078534031413612, | |
| "loss": 0.0856, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 0.4541776478290558, | |
| "learning_rate": 0.00014973821989528797, | |
| "loss": 0.0136, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 4.832011699676514, | |
| "learning_rate": 0.0001486910994764398, | |
| "loss": 0.1087, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 4.744746685028076, | |
| "learning_rate": 0.00014764397905759163, | |
| "loss": 0.0477, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "eval_accuracy": 0.9514435695538058, | |
| "eval_loss": 0.14496225118637085, | |
| "eval_precision": 0.9534067355318784, | |
| "eval_recall": 0.9514435695538058, | |
| "eval_runtime": 17.4463, | |
| "eval_samples_per_second": 43.677, | |
| "eval_steps_per_second": 2.751, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 0.053365129977464676, | |
| "learning_rate": 0.00014659685863874347, | |
| "loss": 0.0171, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 0.41375842690467834, | |
| "learning_rate": 0.00014554973821989531, | |
| "loss": 0.1189, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 0.05034720525145531, | |
| "learning_rate": 0.00014450261780104713, | |
| "loss": 0.0377, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 2.498413324356079, | |
| "learning_rate": 0.00014345549738219897, | |
| "loss": 0.0334, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 0.06190189719200134, | |
| "learning_rate": 0.0001424083769633508, | |
| "loss": 0.0158, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 1.9862781763076782, | |
| "learning_rate": 0.00014136125654450263, | |
| "loss": 0.0186, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 0.047805577516555786, | |
| "learning_rate": 0.00014031413612565445, | |
| "loss": 0.0705, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 0.03765374794602394, | |
| "learning_rate": 0.0001392670157068063, | |
| "loss": 0.1822, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 5.020593643188477, | |
| "learning_rate": 0.0001382198952879581, | |
| "loss": 0.0375, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 1.0980048179626465, | |
| "learning_rate": 0.00013717277486910995, | |
| "loss": 0.1297, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "eval_accuracy": 0.937007874015748, | |
| "eval_loss": 0.24536970257759094, | |
| "eval_precision": 0.9442846541005356, | |
| "eval_recall": 0.937007874015748, | |
| "eval_runtime": 17.5121, | |
| "eval_samples_per_second": 43.513, | |
| "eval_steps_per_second": 2.741, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 3.535846471786499, | |
| "learning_rate": 0.0001361256544502618, | |
| "loss": 0.1071, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 4.182868957519531, | |
| "learning_rate": 0.0001350785340314136, | |
| "loss": 0.0249, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 0.36884206533432007, | |
| "learning_rate": 0.00013403141361256545, | |
| "loss": 0.0762, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 5.14253044128418, | |
| "learning_rate": 0.00013298429319371727, | |
| "loss": 0.0766, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 1.2552727460861206, | |
| "learning_rate": 0.0001319371727748691, | |
| "loss": 0.0093, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 3.767280101776123, | |
| "learning_rate": 0.00013089005235602096, | |
| "loss": 0.2232, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 0.010386645793914795, | |
| "learning_rate": 0.00012984293193717277, | |
| "loss": 0.0026, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 4.292264461517334, | |
| "learning_rate": 0.00012879581151832462, | |
| "loss": 0.2457, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 0.024649567902088165, | |
| "learning_rate": 0.00012774869109947646, | |
| "loss": 0.0306, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 5.098654270172119, | |
| "learning_rate": 0.00012670157068062827, | |
| "loss": 0.1156, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "eval_accuracy": 0.9501312335958005, | |
| "eval_loss": 0.17998863756656647, | |
| "eval_precision": 0.9531660720469141, | |
| "eval_recall": 0.9501312335958005, | |
| "eval_runtime": 17.4136, | |
| "eval_samples_per_second": 43.759, | |
| "eval_steps_per_second": 2.756, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 0.9651967287063599, | |
| "learning_rate": 0.00012565445026178012, | |
| "loss": 0.0618, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 2.727735996246338, | |
| "learning_rate": 0.00012460732984293196, | |
| "loss": 0.0705, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 4.953824043273926, | |
| "learning_rate": 0.00012356020942408378, | |
| "loss": 0.2112, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 0.08269181102514267, | |
| "learning_rate": 0.00012251308900523562, | |
| "loss": 0.071, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 0.06396706402301788, | |
| "learning_rate": 0.00012146596858638744, | |
| "loss": 0.1069, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 0.28295230865478516, | |
| "learning_rate": 0.00012041884816753928, | |
| "loss": 0.0759, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 1.5805819034576416, | |
| "learning_rate": 0.0001193717277486911, | |
| "loss": 0.0622, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "grad_norm": 2.3917598724365234, | |
| "learning_rate": 0.00011832460732984294, | |
| "loss": 0.0512, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 0.03971586003899574, | |
| "learning_rate": 0.00011727748691099475, | |
| "loss": 0.0163, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 0.024471383541822433, | |
| "learning_rate": 0.0001162303664921466, | |
| "loss": 0.0188, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "eval_accuracy": 0.9593175853018373, | |
| "eval_loss": 0.14536795020103455, | |
| "eval_precision": 0.9601421810596481, | |
| "eval_recall": 0.9593175853018373, | |
| "eval_runtime": 17.4, | |
| "eval_samples_per_second": 43.793, | |
| "eval_steps_per_second": 2.759, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "grad_norm": 0.0705149918794632, | |
| "learning_rate": 0.00011518324607329844, | |
| "loss": 0.0062, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 0.013097544200718403, | |
| "learning_rate": 0.00011413612565445027, | |
| "loss": 0.0191, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "grad_norm": 0.5236541628837585, | |
| "learning_rate": 0.00011308900523560211, | |
| "loss": 0.0403, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 0.01967461034655571, | |
| "learning_rate": 0.00011204188481675393, | |
| "loss": 0.0032, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 0.02198900654911995, | |
| "learning_rate": 0.00011099476439790577, | |
| "loss": 0.0019, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "grad_norm": 0.14719614386558533, | |
| "learning_rate": 0.00010994764397905759, | |
| "loss": 0.0052, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 0.021793629974126816, | |
| "learning_rate": 0.00010890052356020943, | |
| "loss": 0.0105, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "grad_norm": 0.02368028089404106, | |
| "learning_rate": 0.00010785340314136125, | |
| "loss": 0.001, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 0.010441082529723644, | |
| "learning_rate": 0.00010680628272251309, | |
| "loss": 0.0019, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "grad_norm": 0.015402965247631073, | |
| "learning_rate": 0.00010575916230366492, | |
| "loss": 0.0049, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "eval_accuracy": 0.9711286089238845, | |
| "eval_loss": 0.1082761362195015, | |
| "eval_precision": 0.9714506772867647, | |
| "eval_recall": 0.9711286089238845, | |
| "eval_runtime": 17.6808, | |
| "eval_samples_per_second": 43.098, | |
| "eval_steps_per_second": 2.715, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "grad_norm": 0.07379986345767975, | |
| "learning_rate": 0.00010471204188481676, | |
| "loss": 0.0047, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "grad_norm": 5.459177494049072, | |
| "learning_rate": 0.0001036649214659686, | |
| "loss": 0.0192, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "grad_norm": 0.004949438851326704, | |
| "learning_rate": 0.00010261780104712042, | |
| "loss": 0.0148, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "grad_norm": 0.17624743282794952, | |
| "learning_rate": 0.00010157068062827227, | |
| "loss": 0.0087, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "grad_norm": 0.010408706963062286, | |
| "learning_rate": 0.00010052356020942408, | |
| "loss": 0.0018, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "grad_norm": 0.007278731558471918, | |
| "learning_rate": 9.947643979057593e-05, | |
| "loss": 0.0029, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "grad_norm": 0.01558419968932867, | |
| "learning_rate": 9.842931937172776e-05, | |
| "loss": 0.0549, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 0.005123753100633621, | |
| "learning_rate": 9.738219895287959e-05, | |
| "loss": 0.0006, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "grad_norm": 0.011126354336738586, | |
| "learning_rate": 9.633507853403142e-05, | |
| "loss": 0.003, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "grad_norm": 0.02012033388018608, | |
| "learning_rate": 9.528795811518324e-05, | |
| "loss": 0.0139, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "eval_accuracy": 0.963254593175853, | |
| "eval_loss": 0.16356664896011353, | |
| "eval_precision": 0.9644146563432678, | |
| "eval_recall": 0.963254593175853, | |
| "eval_runtime": 17.6855, | |
| "eval_samples_per_second": 43.086, | |
| "eval_steps_per_second": 2.714, | |
| "step": 500 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 955, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 6.186131303461724e+17, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |