{ "best_metric": null, "best_model_checkpoint": null, "epoch": 70.0, "eval_steps": 500, "global_step": 91910, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.38, "learning_rate": 0.004999955274106163, "loss": 9.6382, "step": 500 }, { "epoch": 0.76, "learning_rate": 0.004999821098024974, "loss": 9.5189, "step": 1000 }, { "epoch": 1.0, "eval_accuracy": 0.00022625107915810782, "eval_loss": 9.40969181060791, "eval_runtime": 6168.4952, "eval_samples_per_second": 27.228, "eval_steps_per_second": 1.702, "step": 1313 }, { "epoch": 1.14, "learning_rate": 0.0049995974765573515, "loss": 9.363, "step": 1500 }, { "epoch": 1.52, "learning_rate": 0.00499928441770463, "loss": 9.2724, "step": 2000 }, { "epoch": 1.9, "learning_rate": 0.00499888193266828, "loss": 9.1635, "step": 2500 }, { "epoch": 2.0, "eval_accuracy": 0.0006430293828704117, "eval_loss": 9.041797637939453, "eval_runtime": 4719.6922, "eval_samples_per_second": 35.586, "eval_steps_per_second": 2.224, "step": 2626 }, { "epoch": 2.28, "learning_rate": 0.004998390035849502, "loss": 8.8459, "step": 3000 }, { "epoch": 2.67, "learning_rate": 0.0049978087448487194, "loss": 8.3432, "step": 3500 }, { "epoch": 3.0, "eval_accuracy": 0.006466017683308029, "eval_loss": 7.845377445220947, "eval_runtime": 2624.5595, "eval_samples_per_second": 63.994, "eval_steps_per_second": 4.0, "step": 3939 }, { "epoch": 3.05, "learning_rate": 0.004997138080464938, "loss": 7.8952, "step": 4000 }, { "epoch": 3.43, "learning_rate": 0.004996378066695007, "loss": 7.4467, "step": 4500 }, { "epoch": 3.81, "learning_rate": 0.004995528730732766, "loss": 6.9913, "step": 5000 }, { "epoch": 4.0, "eval_accuracy": 0.04887023309815129, "eval_loss": 6.311844825744629, "eval_runtime": 2630.4579, "eval_samples_per_second": 63.85, "eval_steps_per_second": 3.991, "step": 5252 }, { "epoch": 4.19, "learning_rate": 0.0049945901029680604, "loss": 6.4357, "step": 5500 }, { "epoch": 4.57, "learning_rate": 0.004993562216985665, "loss": 5.9619, "step": 6000 }, { "epoch": 4.95, "learning_rate": 0.004992445109564073, "loss": 5.5048, "step": 6500 }, { "epoch": 5.0, "eval_accuracy": 0.1423000208389152, "eval_loss": 4.949326515197754, "eval_runtime": 2650.8854, "eval_samples_per_second": 63.358, "eval_steps_per_second": 3.96, "step": 6565 }, { "epoch": 5.33, "learning_rate": 0.004991238820674189, "loss": 4.982, "step": 7000 }, { "epoch": 5.71, "learning_rate": 0.00498994339347789, "loss": 4.6895, "step": 7500 }, { "epoch": 6.0, "eval_accuracy": 0.24502396475246346, "eval_loss": 3.960129499435425, "eval_runtime": 2617.6761, "eval_samples_per_second": 64.162, "eval_steps_per_second": 4.01, "step": 7878 }, { "epoch": 6.09, "learning_rate": 0.004988558874326489, "loss": 4.3479, "step": 8000 }, { "epoch": 6.47, "learning_rate": 0.004987085312759071, "loss": 3.9972, "step": 8500 }, { "epoch": 6.85, "learning_rate": 0.004985522761500722, "loss": 3.8881, "step": 9000 }, { "epoch": 7.0, "eval_accuracy": 0.31358994968890475, "eval_loss": 3.4186415672302246, "eval_runtime": 2616.4405, "eval_samples_per_second": 64.192, "eval_steps_per_second": 4.012, "step": 9191 }, { "epoch": 7.24, "learning_rate": 0.004983871276460643, "loss": 3.6025, "step": 9500 }, { "epoch": 7.62, "learning_rate": 0.0049821309167301505, "loss": 3.4698, "step": 10000 }, { "epoch": 8.0, "learning_rate": 0.004980301744580561, "loss": 3.391, "step": 10500 }, { "epoch": 8.0, "eval_accuracy": 0.37655919740406657, "eval_loss": 2.9798192977905273, "eval_runtime": 2644.3802, "eval_samples_per_second": 63.514, "eval_steps_per_second": 3.97, "step": 10504 }, { "epoch": 8.38, "learning_rate": 0.004978383825460959, "loss": 3.1113, "step": 11000 }, { "epoch": 8.76, "learning_rate": 0.004976377227995865, "loss": 3.0887, "step": 11500 }, { "epoch": 9.0, "eval_accuracy": 0.422124973951356, "eval_loss": 2.705430030822754, "eval_runtime": 2622.7588, "eval_samples_per_second": 64.038, "eval_steps_per_second": 4.003, "step": 11817 }, { "epoch": 9.14, "learning_rate": 0.00497428202398277, "loss": 2.925, "step": 12000 }, { "epoch": 9.52, "learning_rate": 0.004972098288389572, "loss": 2.7977, "step": 12500 }, { "epoch": 9.9, "learning_rate": 0.004969826099351891, "loss": 2.7935, "step": 13000 }, { "epoch": 10.0, "eval_accuracy": 0.45515167753267244, "eval_loss": 2.501314401626587, "eval_runtime": 2679.1466, "eval_samples_per_second": 62.69, "eval_steps_per_second": 3.918, "step": 13130 }, { "epoch": 10.28, "learning_rate": 0.004967465538170278, "loss": 2.5817, "step": 13500 }, { "epoch": 10.66, "learning_rate": 0.004965016689307298, "loss": 2.5629, "step": 14000 }, { "epoch": 11.0, "eval_accuracy": 0.4803846268345688, "eval_loss": 2.3581297397613525, "eval_runtime": 2615.9499, "eval_samples_per_second": 64.204, "eval_steps_per_second": 4.013, "step": 14443 }, { "epoch": 11.04, "learning_rate": 0.004962479640384515, "loss": 2.5549, "step": 14500 }, { "epoch": 11.42, "learning_rate": 0.004959854482179353, "loss": 2.3342, "step": 15000 }, { "epoch": 11.81, "learning_rate": 0.004957141308621851, "loss": 2.3777, "step": 15500 }, { "epoch": 12.0, "eval_accuracy": 0.48086689887172157, "eval_loss": 2.3543388843536377, "eval_runtime": 2613.6118, "eval_samples_per_second": 64.262, "eval_steps_per_second": 4.017, "step": 15756 }, { "epoch": 12.19, "learning_rate": 0.004954340216791298, "loss": 2.1546, "step": 16000 }, { "epoch": 12.57, "learning_rate": 0.004951451306912763, "loss": 2.2162, "step": 16500 }, { "epoch": 12.95, "learning_rate": 0.0049484746823535075, "loss": 2.2264, "step": 17000 }, { "epoch": 13.0, "eval_accuracy": 0.5178887201929088, "eval_loss": 2.163175344467163, "eval_runtime": 5970.7626, "eval_samples_per_second": 28.13, "eval_steps_per_second": 1.758, "step": 17069 }, { "epoch": 13.33, "learning_rate": 0.004945410449619286, "loss": 2.035, "step": 17500 }, { "epoch": 13.71, "learning_rate": 0.0049422587183505385, "loss": 2.0932, "step": 18000 }, { "epoch": 14.0, "eval_accuracy": 0.5219076538358489, "eval_loss": 2.136173725128174, "eval_runtime": 2759.3303, "eval_samples_per_second": 60.868, "eval_steps_per_second": 3.805, "step": 18382 }, { "epoch": 14.09, "learning_rate": 0.004939019601318461, "loss": 2.0545, "step": 18500 }, { "epoch": 14.47, "learning_rate": 0.004935693214420979, "loss": 1.9224, "step": 19000 }, { "epoch": 14.85, "learning_rate": 0.004932279676678594, "loss": 1.9667, "step": 19500 }, { "epoch": 15.0, "eval_accuracy": 0.5591200023815903, "eval_loss": 1.956689715385437, "eval_runtime": 2781.1993, "eval_samples_per_second": 60.389, "eval_steps_per_second": 3.775, "step": 19695 }, { "epoch": 15.23, "learning_rate": 0.004928779110230126, "loss": 1.8635, "step": 20000 }, { "epoch": 15.61, "learning_rate": 0.004925191640328348, "loss": 1.8396, "step": 20500 }, { "epoch": 15.99, "learning_rate": 0.004921517395335496, "loss": 1.8788, "step": 21000 }, { "epoch": 16.0, "eval_accuracy": 0.5609538269179244, "eval_loss": 1.9347097873687744, "eval_runtime": 2696.6196, "eval_samples_per_second": 62.284, "eval_steps_per_second": 3.893, "step": 21008 }, { "epoch": 16.37, "learning_rate": 0.004917756506718685, "loss": 1.7225, "step": 21500 }, { "epoch": 16.76, "learning_rate": 0.004913909109045198, "loss": 1.7705, "step": 22000 }, { "epoch": 17.0, "eval_accuracy": 0.5684439284332112, "eval_loss": 1.948270559310913, "eval_runtime": 2619.7155, "eval_samples_per_second": 64.112, "eval_steps_per_second": 4.007, "step": 22321 }, { "epoch": 17.14, "learning_rate": 0.004909975339977676, "loss": 1.7215, "step": 22500 }, { "epoch": 17.52, "learning_rate": 0.004905955340269188, "loss": 1.6354, "step": 23000 }, { "epoch": 17.9, "learning_rate": 0.004901849253758198, "loss": 1.7089, "step": 23500 }, { "epoch": 18.0, "eval_accuracy": 0.5790598672263404, "eval_loss": 1.8927983045578003, "eval_runtime": 2625.6089, "eval_samples_per_second": 63.968, "eval_steps_per_second": 3.998, "step": 23634 }, { "epoch": 18.28, "learning_rate": 0.004897657227363419, "loss": 1.579, "step": 24000 }, { "epoch": 18.66, "learning_rate": 0.004893379411078551, "loss": 1.6068, "step": 24500 }, { "epoch": 19.0, "eval_accuracy": 0.5855497008127177, "eval_loss": 1.843549370765686, "eval_runtime": 2690.4067, "eval_samples_per_second": 62.427, "eval_steps_per_second": 3.902, "step": 24947 }, { "epoch": 19.04, "learning_rate": 0.004889015957966921, "loss": 1.6159, "step": 25000 }, { "epoch": 19.42, "learning_rate": 0.004884567024156001, "loss": 1.4949, "step": 25500 }, { "epoch": 19.8, "learning_rate": 0.004880032768831825, "loss": 1.5572, "step": 26000 }, { "epoch": 20.0, "eval_accuracy": 0.5879670149742491, "eval_loss": 1.840835690498352, "eval_runtime": 2628.5762, "eval_samples_per_second": 63.896, "eval_steps_per_second": 3.994, "step": 26260 }, { "epoch": 20.18, "learning_rate": 0.004875413354233289, "loss": 1.4928, "step": 26500 }, { "epoch": 20.56, "learning_rate": 0.0048707089456463525, "loss": 1.4466, "step": 27000 }, { "epoch": 20.94, "learning_rate": 0.004865919711398117, "loss": 1.4938, "step": 27500 }, { "epoch": 21.0, "eval_accuracy": 0.6109672233634009, "eval_loss": 1.7412927150726318, "eval_runtime": 2614.3175, "eval_samples_per_second": 64.244, "eval_steps_per_second": 4.016, "step": 27573 }, { "epoch": 21.33, "learning_rate": 0.0048610458228508105, "loss": 1.3796, "step": 28000 }, { "epoch": 21.71, "learning_rate": 0.004856087454395648, "loss": 1.4182, "step": 28500 }, { "epoch": 22.0, "eval_accuracy": 0.6154565210919591, "eval_loss": 1.7196179628372192, "eval_runtime": 2640.6742, "eval_samples_per_second": 63.603, "eval_steps_per_second": 3.975, "step": 28886 }, { "epoch": 22.09, "learning_rate": 0.0048510447834466, "loss": 1.4096, "step": 29000 }, { "epoch": 22.47, "learning_rate": 0.0048459179904340385, "loss": 1.3308, "step": 29500 }, { "epoch": 22.85, "learning_rate": 0.004840707258798284, "loss": 1.3784, "step": 30000 }, { "epoch": 23.0, "eval_accuracy": 0.6238218570450418, "eval_loss": 1.7105211019515991, "eval_runtime": 2885.4428, "eval_samples_per_second": 58.208, "eval_steps_per_second": 3.638, "step": 30199 }, { "epoch": 23.23, "learning_rate": 0.004835412774983039, "loss": 1.3104, "step": 30500 }, { "epoch": 23.61, "learning_rate": 0.004830034728428723, "loss": 1.301, "step": 31000 }, { "epoch": 23.99, "learning_rate": 0.004824573311565684, "loss": 1.3578, "step": 31500 }, { "epoch": 24.0, "eval_accuracy": 0.6176059063439612, "eval_loss": 1.7758694887161255, "eval_runtime": 2617.3025, "eval_samples_per_second": 64.171, "eval_steps_per_second": 4.011, "step": 31512 }, { "epoch": 24.37, "learning_rate": 0.004819028719807326, "loss": 1.2176, "step": 32000 }, { "epoch": 24.75, "learning_rate": 0.004813401151543105, "loss": 1.2763, "step": 32500 }, { "epoch": 25.0, "eval_accuracy": 0.6218749069691286, "eval_loss": 1.7364755868911743, "eval_runtime": 5925.4842, "eval_samples_per_second": 28.345, "eval_steps_per_second": 1.772, "step": 32825 }, { "epoch": 25.13, "learning_rate": 0.004807690808131437, "loss": 1.2551, "step": 33000 }, { "epoch": 25.51, "learning_rate": 0.004801897893892493, "loss": 1.1861, "step": 33500 }, { "epoch": 25.89, "learning_rate": 0.004796022616100888, "loss": 1.2484, "step": 34000 }, { "epoch": 26.0, "eval_accuracy": 0.6199220029174481, "eval_loss": 1.7483400106430054, "eval_runtime": 2684.7282, "eval_samples_per_second": 62.559, "eval_steps_per_second": 3.91, "step": 34138 }, { "epoch": 26.28, "learning_rate": 0.004790065184978262, "loss": 1.1726, "step": 34500 }, { "epoch": 26.66, "learning_rate": 0.004784025813685761, "loss": 1.1936, "step": 35000 }, { "epoch": 27.0, "eval_accuracy": 0.6313953142210711, "eval_loss": 1.700264573097229, "eval_runtime": 2640.722, "eval_samples_per_second": 63.602, "eval_steps_per_second": 3.975, "step": 35451 }, { "epoch": 27.04, "learning_rate": 0.004777904718316407, "loss": 1.2231, "step": 35500 }, { "epoch": 27.42, "learning_rate": 0.00477170211788737, "loss": 1.1121, "step": 36000 }, { "epoch": 27.8, "learning_rate": 0.00476541823433213, "loss": 1.1499, "step": 36500 }, { "epoch": 28.0, "eval_accuracy": 0.6247209073859069, "eval_loss": 1.7398767471313477, "eval_runtime": 2691.471, "eval_samples_per_second": 62.403, "eval_steps_per_second": 3.9, "step": 36764 }, { "epoch": 28.18, "learning_rate": 0.004759053292492532, "loss": 1.1329, "step": 37000 }, { "epoch": 28.56, "learning_rate": 0.004752607520110748, "loss": 1.1121, "step": 37500 }, { "epoch": 28.94, "learning_rate": 0.004746081147821121, "loss": 1.1418, "step": 38000 }, { "epoch": 29.0, "eval_accuracy": 0.6316751510821351, "eval_loss": 1.7091107368469238, "eval_runtime": 2632.2426, "eval_samples_per_second": 63.807, "eval_steps_per_second": 3.988, "step": 38077 }, { "epoch": 29.32, "learning_rate": 0.0047394744091419205, "loss": 1.0493, "step": 38500 }, { "epoch": 29.7, "learning_rate": 0.004732787540466979, "loss": 1.0895, "step": 39000 }, { "epoch": 30.0, "eval_accuracy": 0.6383078800869281, "eval_loss": 1.7165930271148682, "eval_runtime": 2645.0605, "eval_samples_per_second": 63.498, "eval_steps_per_second": 3.969, "step": 39390 }, { "epoch": 30.08, "learning_rate": 0.004726020781057241, "loss": 1.0905, "step": 39500 }, { "epoch": 30.46, "learning_rate": 0.004719174373032195, "loss": 1.0191, "step": 40000 }, { "epoch": 30.85, "learning_rate": 0.0047122485613612175, "loss": 1.0706, "step": 40500 }, { "epoch": 31.0, "eval_accuracy": 0.6373611979399244, "eval_loss": 1.7384090423583984, "eval_runtime": 2658.4828, "eval_samples_per_second": 63.177, "eval_steps_per_second": 3.949, "step": 40703 }, { "epoch": 31.23, "learning_rate": 0.004705243593854802, "loss": 1.0205, "step": 41000 }, { "epoch": 31.61, "learning_rate": 0.004698159721155694, "loss": 1.0072, "step": 41500 }, { "epoch": 31.99, "learning_rate": 0.004690997196729925, "loss": 1.0541, "step": 42000 }, { "epoch": 32.0, "eval_accuracy": 0.640868089666875, "eval_loss": 1.7335774898529053, "eval_runtime": 2595.2091, "eval_samples_per_second": 64.717, "eval_steps_per_second": 4.045, "step": 42016 }, { "epoch": 32.37, "learning_rate": 0.004683756276857741, "loss": 0.9544, "step": 42500 }, { "epoch": 32.75, "learning_rate": 0.004676437220624432, "loss": 1.0013, "step": 43000 }, { "epoch": 33.0, "eval_accuracy": 0.6451489982435772, "eval_loss": 1.7185142040252686, "eval_runtime": 2605.1367, "eval_samples_per_second": 64.471, "eval_steps_per_second": 4.03, "step": 43329 }, { "epoch": 33.13, "learning_rate": 0.004669040289911064, "loss": 0.9986, "step": 43500 }, { "epoch": 33.51, "learning_rate": 0.004661565749385107, "loss": 0.9399, "step": 44000 }, { "epoch": 33.89, "learning_rate": 0.004654013866490966, "loss": 0.9811, "step": 44500 }, { "epoch": 34.0, "eval_accuracy": 0.6478640111934745, "eval_loss": 1.7246044874191284, "eval_runtime": 2595.1453, "eval_samples_per_second": 64.719, "eval_steps_per_second": 4.045, "step": 44642 }, { "epoch": 34.27, "learning_rate": 0.004646384911440411, "loss": 0.914, "step": 45000 }, { "epoch": 34.65, "learning_rate": 0.004638679157202909, "loss": 0.9447, "step": 45500 }, { "epoch": 35.0, "eval_accuracy": 0.6540263761126492, "eval_loss": 1.7245060205459595, "eval_runtime": 2605.4725, "eval_samples_per_second": 64.462, "eval_steps_per_second": 4.029, "step": 45955 }, { "epoch": 35.03, "learning_rate": 0.0005810494104962897, "loss": 0.8424, "step": 46000 }, { "epoch": 35.42, "learning_rate": 0.0005391326120998649, "loss": 0.692, "step": 46500 }, { "epoch": 35.8, "learning_rate": 0.0004986016371937035, "loss": 0.6587, "step": 47000 }, { "epoch": 36.0, "eval_accuracy": 0.7018546634515197, "eval_loss": 1.5848796367645264, "eval_runtime": 4946.5461, "eval_samples_per_second": 33.954, "eval_steps_per_second": 2.122, "step": 47268 }, { "epoch": 36.18, "learning_rate": 0.0004594851306405101, "loss": 0.6234, "step": 47500 }, { "epoch": 36.56, "learning_rate": 0.0004218107376415739, "loss": 0.6053, "step": 48000 }, { "epoch": 36.94, "learning_rate": 0.00038560508419879514, "loss": 0.6044, "step": 48500 }, { "epoch": 37.0, "eval_accuracy": 0.706195111785895, "eval_loss": 1.6146132946014404, "eval_runtime": 2680.1847, "eval_samples_per_second": 62.665, "eval_steps_per_second": 3.917, "step": 48581 }, { "epoch": 37.32, "learning_rate": 0.0003508937582970281, "loss": 0.5763, "step": 49000 }, { "epoch": 37.7, "learning_rate": 0.0003177012918200253, "loss": 0.572, "step": 49500 }, { "epoch": 38.0, "eval_accuracy": 0.7081241999345063, "eval_loss": 1.6583054065704346, "eval_runtime": 2714.09, "eval_samples_per_second": 61.883, "eval_steps_per_second": 3.868, "step": 49894 }, { "epoch": 38.08, "learning_rate": 0.0002860511432127716, "loss": 0.5693, "step": 50000 }, { "epoch": 38.46, "learning_rate": 0.00025596568090246547, "loss": 0.5492, "step": 50500 }, { "epoch": 38.84, "learning_rate": 0.00022746616748985177, "loss": 0.545, "step": 51000 }, { "epoch": 39.0, "eval_accuracy": 0.7086898276324015, "eval_loss": 1.6993166208267212, "eval_runtime": 8190.9805, "eval_samples_per_second": 20.505, "eval_steps_per_second": 1.282, "step": 51207 }, { "epoch": 39.22, "learning_rate": 0.0002005727447220948, "loss": 0.5409, "step": 51500 }, { "epoch": 39.6, "learning_rate": 0.00017530441925779654, "loss": 0.5351, "step": 52000 }, { "epoch": 39.98, "learning_rate": 0.00015167904923422986, "loss": 0.5341, "step": 52500 }, { "epoch": 40.0, "eval_accuracy": 0.7105593760233396, "eval_loss": 1.7077844142913818, "eval_runtime": 33225.1715, "eval_samples_per_second": 5.055, "eval_steps_per_second": 0.316, "step": 52520 }, { "epoch": 40.37, "learning_rate": 0.0001297133316462798, "loss": 0.5184, "step": 53000 }, { "epoch": 40.75, "learning_rate": 0.00010942279054600657, "loss": 0.5284, "step": 53500 }, { "epoch": 41.0, "eval_accuracy": 0.7104641124110624, "eval_loss": 1.7240744829177856, "eval_runtime": 3401.4075, "eval_samples_per_second": 49.378, "eval_steps_per_second": 3.086, "step": 53833 }, { "epoch": 41.13, "learning_rate": 9.082176607117799e-05, "loss": 0.5239, "step": 54000 }, { "epoch": 41.51, "learning_rate": 7.392340431051969e-05, "loss": 0.5152, "step": 54500 }, { "epoch": 41.89, "learning_rate": 5.87396480128477e-05, "loss": 0.5186, "step": 55000 }, { "epoch": 42.0, "eval_accuracy": 0.7111666815516061, "eval_loss": 1.7408066987991333, "eval_runtime": 4964.1178, "eval_samples_per_second": 33.834, "eval_steps_per_second": 2.115, "step": 55146 }, { "epoch": 42.27, "learning_rate": 4.528122814664942e-05, "loss": 0.5113, "step": 55500 }, { "epoch": 42.65, "learning_rate": 3.35576563160786e-05, "loss": 0.506, "step": 56000 }, { "epoch": 43.0, "eval_accuracy": 0.7105772379506415, "eval_loss": 1.7486644983291626, "eval_runtime": 6355.0593, "eval_samples_per_second": 26.429, "eval_steps_per_second": 1.652, "step": 56459 }, { "epoch": 43.03, "learning_rate": 2.357721803872476e-05, "loss": 0.5137, "step": 56500 }, { "epoch": 43.41, "learning_rate": 1.5346966889905334e-05, "loss": 0.5062, "step": 57000 }, { "epoch": 43.79, "learning_rate": 8.872719517621642e-06, "loss": 0.5043, "step": 57500 }, { "epoch": 44.0, "eval_accuracy": 0.7108689827632402, "eval_loss": 1.7547060251235962, "eval_runtime": 4684.6858, "eval_samples_per_second": 35.852, "eval_steps_per_second": 2.241, "step": 57772 }, { "epoch": 44.17, "learning_rate": 4.159051531700819e-06, "loss": 0.5084, "step": 58000 }, { "epoch": 44.55, "learning_rate": 1.2092942700298037e-06, "loss": 0.5043, "step": 58500 }, { "epoch": 44.94, "learning_rate": 2.5532444165032865e-08, "loss": 0.5094, "step": 59000 }, { "epoch": 45.0, "eval_accuracy": 0.711053556012027, "eval_loss": 1.7535769939422607, "eval_runtime": 2625.3482, "eval_samples_per_second": 63.974, "eval_steps_per_second": 3.999, "step": 59085 }, { "epoch": 45.32, "learning_rate": 0.0007032209920746526, "loss": 0.5386, "step": 59500 }, { "epoch": 45.7, "learning_rate": 0.0006689210221610515, "loss": 0.5547, "step": 60000 }, { "epoch": 46.0, "eval_accuracy": 0.7068619570718347, "eval_loss": 1.7073622941970825, "eval_runtime": 6607.5308, "eval_samples_per_second": 25.419, "eval_steps_per_second": 1.589, "step": 60398 }, { "epoch": 46.08, "learning_rate": 0.0006353490004690119, "loss": 0.553, "step": 60500 }, { "epoch": 46.46, "learning_rate": 0.0006025182736066154, "loss": 0.5329, "step": 61000 }, { "epoch": 46.84, "learning_rate": 0.000570441893479062, "loss": 0.5391, "step": 61500 }, { "epoch": 47.0, "eval_accuracy": 0.7089637105176982, "eval_loss": 1.740086317062378, "eval_runtime": 5830.6066, "eval_samples_per_second": 28.806, "eval_steps_per_second": 1.8, "step": 61711 }, { "epoch": 47.22, "learning_rate": 0.0005391326120998649, "loss": 0.5284, "step": 62000 }, { "epoch": 47.6, "learning_rate": 0.0005086028765212663, "loss": 0.5223, "step": 62500 }, { "epoch": 47.98, "learning_rate": 0.00047886482388589615, "loss": 0.5253, "step": 63000 }, { "epoch": 48.0, "eval_accuracy": 0.7092852252091334, "eval_loss": 1.7769759893417358, "eval_runtime": 2617.8614, "eval_samples_per_second": 64.157, "eval_steps_per_second": 4.01, "step": 63024 }, { "epoch": 48.36, "learning_rate": 0.0004499302766016297, "loss": 0.5041, "step": 63500 }, { "epoch": 48.74, "learning_rate": 0.0004218107376415739, "loss": 0.5066, "step": 64000 }, { "epoch": 49.0, "eval_accuracy": 0.7102319073561371, "eval_loss": 1.813459873199463, "eval_runtime": 2608.5743, "eval_samples_per_second": 64.386, "eval_steps_per_second": 4.024, "step": 64337 }, { "epoch": 49.12, "learning_rate": 0.00039451738597103935, "loss": 0.5057, "step": 64500 }, { "epoch": 49.5, "learning_rate": 0.00036806107210333034, "loss": 0.4897, "step": 65000 }, { "epoch": 49.89, "learning_rate": 0.00034245231378610494, "loss": 0.495, "step": 65500 }, { "epoch": 50.0, "eval_accuracy": 0.7110476020362597, "eval_loss": 1.8451627492904663, "eval_runtime": 2646.4398, "eval_samples_per_second": 63.465, "eval_steps_per_second": 3.967, "step": 65650 }, { "epoch": 50.27, "learning_rate": 0.0003177012918200253, "loss": 0.4867, "step": 66000 }, { "epoch": 50.65, "learning_rate": 0.0002938178460113711, "loss": 0.4813, "step": 66500 }, { "epoch": 51.0, "eval_accuracy": 0.7107320413205919, "eval_loss": 1.8846126794815063, "eval_runtime": 5243.8791, "eval_samples_per_second": 32.029, "eval_steps_per_second": 2.002, "step": 66963 }, { "epoch": 51.03, "learning_rate": 0.00027081147126020445, "loss": 0.4829, "step": 67000 }, { "epoch": 51.41, "learning_rate": 0.00024869131378566, "loss": 0.466, "step": 67500 }, { "epoch": 51.79, "learning_rate": 0.00022746616748985177, "loss": 0.4704, "step": 68000 }, { "epoch": 52.0, "eval_accuracy": 0.7123693846566045, "eval_loss": 1.8989039659500122, "eval_runtime": 2607.2421, "eval_samples_per_second": 64.419, "eval_steps_per_second": 4.026, "step": 68276 }, { "epoch": 52.17, "learning_rate": 0.00020714447046184416, "loss": 0.47, "step": 68500 }, { "epoch": 52.55, "learning_rate": 0.0001877343016230762, "loss": 0.465, "step": 69000 }, { "epoch": 52.93, "learning_rate": 0.0001692433775155744, "loss": 0.4689, "step": 69500 }, { "epoch": 53.0, "eval_accuracy": 0.7131850793367271, "eval_loss": 1.931063175201416, "eval_runtime": 2614.8439, "eval_samples_per_second": 64.231, "eval_steps_per_second": 4.015, "step": 69589 }, { "epoch": 53.31, "learning_rate": 0.00015167904923422986, "loss": 0.4572, "step": 70000 }, { "epoch": 53.69, "learning_rate": 0.0001350482995043595, "loss": 0.4611, "step": 70500 }, { "epoch": 54.0, "eval_accuracy": 0.7130659998213807, "eval_loss": 1.93539559841156, "eval_runtime": 2604.5499, "eval_samples_per_second": 64.485, "eval_steps_per_second": 4.031, "step": 70902 }, { "epoch": 54.07, "learning_rate": 0.00011935773990571164, "loss": 0.4579, "step": 71000 }, { "epoch": 54.46, "learning_rate": 0.00010461360824402521, "loss": 0.4554, "step": 71500 }, { "epoch": 54.84, "learning_rate": 9.082176607117799e-05, "loss": 0.4547, "step": 72000 }, { "epoch": 55.0, "eval_accuracy": 0.7133160668036082, "eval_loss": 1.974073052406311, "eval_runtime": 2574.37, "eval_samples_per_second": 65.241, "eval_steps_per_second": 4.078, "step": 72215 }, { "epoch": 55.22, "learning_rate": 7.798769635491976e-05, "loss": 0.4497, "step": 72500 }, { "epoch": 55.6, "learning_rate": 6.611650129910801e-05, "loss": 0.4458, "step": 73000 }, { "epoch": 55.98, "learning_rate": 5.521290031532178e-05, "loss": 0.4481, "step": 73500 }, { "epoch": 56.0, "eval_accuracy": 0.713071953797148, "eval_loss": 1.9898993968963623, "eval_runtime": 2622.4841, "eval_samples_per_second": 64.044, "eval_steps_per_second": 4.003, "step": 73528 }, { "epoch": 56.36, "learning_rate": 0.00045401414969093167, "loss": 0.4607, "step": 74000 }, { "epoch": 56.74, "learning_rate": 0.0004297610695623985, "loss": 0.4709, "step": 74500 }, { "epoch": 57.0, "eval_accuracy": 0.7104283885564586, "eval_loss": 1.9411875009536743, "eval_runtime": 3269.1549, "eval_samples_per_second": 51.376, "eval_steps_per_second": 3.211, "step": 74841 }, { "epoch": 57.12, "learning_rate": 0.0004061126673698029, "loss": 0.4736, "step": 75000 }, { "epoch": 57.5, "learning_rate": 0.0003830758503675777, "loss": 0.4601, "step": 75500 }, { "epoch": 57.88, "learning_rate": 0.00036065734717759815, "loss": 0.4647, "step": 76000 }, { "epoch": 58.0, "eval_accuracy": 0.7097913131493555, "eval_loss": 1.9707293510437012, "eval_runtime": 2595.9104, "eval_samples_per_second": 64.7, "eval_steps_per_second": 4.044, "step": 76154 }, { "epoch": 58.26, "learning_rate": 0.00033886370582388, "loss": 0.4562, "step": 76500 }, { "epoch": 58.64, "learning_rate": 0.0003177012918200253, "loss": 0.4566, "step": 77000 }, { "epoch": 59.0, "eval_accuracy": 0.7116251376856896, "eval_loss": 2.0150792598724365, "eval_runtime": 2589.1949, "eval_samples_per_second": 64.868, "eval_steps_per_second": 4.055, "step": 77467 }, { "epoch": 59.03, "learning_rate": 0.0002971762863099739, "loss": 0.4535, "step": 77500 }, { "epoch": 59.41, "learning_rate": 0.0002772946842626087, "loss": 0.448, "step": 78000 }, { "epoch": 59.79, "learning_rate": 0.000258062292720736, "loss": 0.4511, "step": 78500 }, { "epoch": 60.0, "eval_accuracy": 0.7113929326307642, "eval_loss": 2.0363075733184814, "eval_runtime": 2640.6575, "eval_samples_per_second": 63.603, "eval_steps_per_second": 3.976, "step": 78780 }, { "epoch": 60.17, "learning_rate": 0.00023948472910495817, "loss": 0.4446, "step": 79000 }, { "epoch": 60.55, "learning_rate": 0.0002215674195729317, "loss": 0.4403, "step": 79500 }, { "epoch": 60.93, "learning_rate": 0.0002043155974344868, "loss": 0.4423, "step": 80000 }, { "epoch": 61.0, "eval_accuracy": 0.7112143133577447, "eval_loss": 2.0710268020629883, "eval_runtime": 2593.0457, "eval_samples_per_second": 64.771, "eval_steps_per_second": 4.049, "step": 80093 }, { "epoch": 61.31, "learning_rate": 0.0001877343016230762, "loss": 0.4304, "step": 80500 }, { "epoch": 61.69, "learning_rate": 0.00017182837522399742, "loss": 0.4356, "step": 81000 }, { "epoch": 62.0, "eval_accuracy": 0.7116251376856896, "eval_loss": 2.061058521270752, "eval_runtime": 2582.6346, "eval_samples_per_second": 65.032, "eval_steps_per_second": 4.065, "step": 81406 }, { "epoch": 62.07, "learning_rate": 0.00015660246405981793, "loss": 0.4332, "step": 81500 }, { "epoch": 62.45, "learning_rate": 0.00014206101533341926, "loss": 0.43, "step": 82000 }, { "epoch": 62.83, "learning_rate": 0.0001282082763290507, "loss": 0.4272, "step": 82500 }, { "epoch": 63.0, "eval_accuracy": 0.7117918490071745, "eval_loss": 2.089148998260498, "eval_runtime": 2586.4124, "eval_samples_per_second": 64.937, "eval_steps_per_second": 4.059, "step": 82719 }, { "epoch": 63.21, "learning_rate": 0.00011504829317177723, "loss": 0.4259, "step": 83000 }, { "epoch": 63.59, "learning_rate": 0.00010258490964568406, "loss": 0.4271, "step": 83500 }, { "epoch": 63.98, "learning_rate": 9.082176607117799e-05, "loss": 0.4254, "step": 84000 }, { "epoch": 64.0, "eval_accuracy": 0.7123812926081391, "eval_loss": 2.0879101753234863, "eval_runtime": 2610.5128, "eval_samples_per_second": 64.338, "eval_steps_per_second": 4.021, "step": 84032 }, { "epoch": 64.36, "learning_rate": 7.976229824171872e-05, "loss": 0.4249, "step": 84500 }, { "epoch": 64.74, "learning_rate": 6.940973642028724e-05, "loss": 0.4221, "step": 85000 }, { "epoch": 65.0, "eval_accuracy": 0.7130957697002174, "eval_loss": 2.1167192459106445, "eval_runtime": 2625.6926, "eval_samples_per_second": 63.966, "eval_steps_per_second": 3.998, "step": 85345 }, { "epoch": 65.12, "learning_rate": 5.976710439588779e-05, "loss": 0.4227, "step": 85500 }, { "epoch": 65.5, "learning_rate": 5.083721860035529e-05, "loss": 0.421, "step": 86000 }, { "epoch": 65.88, "learning_rate": 4.262268728572882e-05, "loss": 0.4189, "step": 86500 }, { "epoch": 66.0, "eval_accuracy": 0.7129111964514304, "eval_loss": 2.1362690925598145, "eval_runtime": 2775.8163, "eval_samples_per_second": 60.507, "eval_steps_per_second": 3.782, "step": 86658 }, { "epoch": 66.26, "learning_rate": 3.512590976242902e-05, "loss": 0.4192, "step": 87000 }, { "epoch": 66.64, "learning_rate": 2.834907569846612e-05, "loss": 0.4219, "step": 87500 }, { "epoch": 67.0, "eval_accuracy": 0.712958828257569, "eval_loss": 2.1355273723602295, "eval_runtime": 2581.0691, "eval_samples_per_second": 65.072, "eval_steps_per_second": 4.067, "step": 87971 }, { "epoch": 67.02, "learning_rate": 2.2294164479878255e-05, "loss": 0.4197, "step": 88000 }, { "epoch": 67.4, "learning_rate": 1.6962944632589183e-05, "loss": 0.4157, "step": 88500 }, { "epoch": 67.78, "learning_rate": 1.2356973305856779e-05, "loss": 0.4149, "step": 89000 }, { "epoch": 68.0, "eval_accuracy": 0.7132267571670984, "eval_loss": 2.1466283798217773, "eval_runtime": 2769.7004, "eval_samples_per_second": 60.64, "eval_steps_per_second": 3.79, "step": 89284 }, { "epoch": 68.16, "learning_rate": 8.477595817457106e-06, "loss": 0.4138, "step": 89500 }, { "epoch": 68.55, "learning_rate": 5.325945260744314e-06, "loss": 0.4147, "step": 90000 }, { "epoch": 68.93, "learning_rate": 2.90294217369369e-06, "loss": 0.4125, "step": 90500 }, { "epoch": 69.0, "eval_accuracy": 0.7131434015063559, "eval_loss": 2.1478145122528076, "eval_runtime": 2585.5905, "eval_samples_per_second": 64.958, "eval_steps_per_second": 4.06, "step": 90597 }, { "epoch": 69.31, "learning_rate": 1.2092942700298037e-06, "loss": 0.4146, "step": 91000 }, { "epoch": 69.69, "learning_rate": 2.4549623251851615e-07, "loss": 0.4162, "step": 91500 }, { "epoch": 70.0, "eval_accuracy": 0.7132267571670984, "eval_loss": 2.1484131813049316, "eval_runtime": 2581.5568, "eval_samples_per_second": 65.06, "eval_steps_per_second": 4.067, "step": 91910 }, { "epoch": 70.0, "step": 91910, "total_flos": 3.2073215097814647e+21, "train_loss": 0.08673005339085323, "train_runtime": 125919.3774, "train_samples_per_second": 373.471, "train_steps_per_second": 0.73 } ], "logging_steps": 500, "max_steps": 91910, "num_train_epochs": 70, "save_steps": 500, "total_flos": 3.2073215097814647e+21, "trial_name": null, "trial_params": null }