{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 6.3904, "eval_steps": 100, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 3.238465867936611, "epoch": 0.032, "grad_norm": 209.0, "learning_rate": 1.8e-07, "loss": 7.9136, "mean_token_accuracy": 0.17908816603012384, "num_tokens": 99789.0, "step": 10 }, { "entropy": 3.293700896203518, "epoch": 0.064, "grad_norm": 198.0, "learning_rate": 3.8e-07, "loss": 7.9121, "mean_token_accuracy": 0.17522176005877554, "num_tokens": 190891.0, "step": 20 }, { "entropy": 3.2724268689751623, "epoch": 0.096, "grad_norm": 195.0, "learning_rate": 5.800000000000001e-07, "loss": 7.7884, "mean_token_accuracy": 0.18085262291133403, "num_tokens": 286198.0, "step": 30 }, { "entropy": 3.4351663440465927, "epoch": 0.128, "grad_norm": 172.0, "learning_rate": 7.8e-07, "loss": 7.5047, "mean_token_accuracy": 0.18496066313236953, "num_tokens": 385320.0, "step": 40 }, { "entropy": 3.6431967571377752, "epoch": 0.16, "grad_norm": 155.0, "learning_rate": 9.800000000000001e-07, "loss": 7.2582, "mean_token_accuracy": 0.18825604091398418, "num_tokens": 486218.0, "step": 50 }, { "entropy": 4.013543170690537, "epoch": 0.192, "grad_norm": 121.0, "learning_rate": 1.1800000000000001e-06, "loss": 6.9069, "mean_token_accuracy": 0.18985986979678274, "num_tokens": 581717.0, "step": 60 }, { "entropy": 4.40448921173811, "epoch": 0.224, "grad_norm": 94.0, "learning_rate": 1.3800000000000001e-06, "loss": 6.3322, "mean_token_accuracy": 0.20462538227438926, "num_tokens": 676500.0, "step": 70 }, { "entropy": 4.721661370992661, "epoch": 0.256, "grad_norm": 64.5, "learning_rate": 1.5800000000000001e-06, "loss": 5.8578, "mean_token_accuracy": 0.2137928050942719, "num_tokens": 775542.0, "step": 80 }, { "entropy": 4.859676861763001, "epoch": 0.288, "grad_norm": 47.25, "learning_rate": 1.7800000000000001e-06, "loss": 5.4304, "mean_token_accuracy": 0.22805662611499428, "num_tokens": 872932.0, "step": 90 }, { "entropy": 4.871997155249119, "epoch": 0.32, "grad_norm": 29.375, "learning_rate": 1.98e-06, "loss": 5.1109, "mean_token_accuracy": 0.25303157502785323, "num_tokens": 968340.0, "step": 100 }, { "epoch": 0.32, "eval_coding_entropy": 1.926878339767456, "eval_coding_loss": 2.3084304332733154, "eval_coding_mean_token_accuracy": 0.48411355090141295, "eval_coding_num_tokens": 968340.0, "eval_coding_runtime": 80.1556, "eval_coding_samples_per_second": 6.238, "eval_coding_steps_per_second": 3.119, "step": 100 }, { "epoch": 0.32, "eval_biology_entropy": 4.7239161949157715, "eval_biology_loss": 4.968222618103027, "eval_biology_mean_token_accuracy": 0.26778400188684465, "eval_biology_num_tokens": 968340.0, "eval_biology_runtime": 34.6244, "eval_biology_samples_per_second": 14.441, "eval_biology_steps_per_second": 7.22, "step": 100 }, { "entropy": 4.715248446166515, "epoch": 0.352, "grad_norm": 22.375, "learning_rate": 2.1800000000000003e-06, "loss": 4.8208, "mean_token_accuracy": 0.27833458138629796, "num_tokens": 1062214.0, "step": 110 }, { "entropy": 4.553062991797924, "epoch": 0.384, "grad_norm": 24.0, "learning_rate": 2.38e-06, "loss": 4.6277, "mean_token_accuracy": 0.29350204383954404, "num_tokens": 1161800.0, "step": 120 }, { "entropy": 4.52610100209713, "epoch": 0.416, "grad_norm": 17.625, "learning_rate": 2.5800000000000003e-06, "loss": 4.5457, "mean_token_accuracy": 0.3010273904539645, "num_tokens": 1259894.0, "step": 130 }, { "entropy": 4.3714508935809135, "epoch": 0.448, "grad_norm": 24.5, "learning_rate": 2.7800000000000005e-06, "loss": 4.3595, "mean_token_accuracy": 0.3121769287623465, "num_tokens": 1358545.0, "step": 140 }, { "entropy": 4.206141373515129, "epoch": 0.48, "grad_norm": 20.0, "learning_rate": 2.9800000000000003e-06, "loss": 4.2206, "mean_token_accuracy": 0.32826427686959503, "num_tokens": 1462493.0, "step": 150 }, { "entropy": 4.1862502753734585, "epoch": 0.512, "grad_norm": 15.6875, "learning_rate": 3.1800000000000005e-06, "loss": 4.2016, "mean_token_accuracy": 0.33233328983187677, "num_tokens": 1557047.0, "step": 160 }, { "entropy": 4.118708249926567, "epoch": 0.544, "grad_norm": 16.375, "learning_rate": 3.3800000000000007e-06, "loss": 4.0964, "mean_token_accuracy": 0.3453528699465096, "num_tokens": 1658711.0, "step": 170 }, { "entropy": 4.135542331635952, "epoch": 0.576, "grad_norm": 17.25, "learning_rate": 3.58e-06, "loss": 4.1201, "mean_token_accuracy": 0.34580441238358617, "num_tokens": 1756413.0, "step": 180 }, { "entropy": 4.003959603607655, "epoch": 0.608, "grad_norm": 18.375, "learning_rate": 3.7800000000000002e-06, "loss": 4.0091, "mean_token_accuracy": 0.3496086118742824, "num_tokens": 1853054.0, "step": 190 }, { "entropy": 4.024305436015129, "epoch": 0.64, "grad_norm": 16.5, "learning_rate": 3.980000000000001e-06, "loss": 3.9643, "mean_token_accuracy": 0.35361671894788743, "num_tokens": 1953273.0, "step": 200 }, { "epoch": 0.64, "eval_coding_entropy": 1.8568662638664246, "eval_coding_loss": 2.1912217140197754, "eval_coding_mean_token_accuracy": 0.5063816961050034, "eval_coding_num_tokens": 1953273.0, "eval_coding_runtime": 79.6784, "eval_coding_samples_per_second": 6.275, "eval_coding_steps_per_second": 3.138, "step": 200 }, { "epoch": 0.64, "eval_biology_entropy": 3.9995334424972535, "eval_biology_loss": 3.9905741214752197, "eval_biology_mean_token_accuracy": 0.36172509467601777, "eval_biology_num_tokens": 1953273.0, "eval_biology_runtime": 35.4091, "eval_biology_samples_per_second": 14.121, "eval_biology_steps_per_second": 7.06, "step": 200 }, { "entropy": 3.998256941139698, "epoch": 0.672, "grad_norm": 22.25, "learning_rate": 4.18e-06, "loss": 3.9371, "mean_token_accuracy": 0.3586596045643091, "num_tokens": 2050255.0, "step": 210 }, { "entropy": 3.8787728905677796, "epoch": 0.704, "grad_norm": 18.5, "learning_rate": 4.38e-06, "loss": 3.8922, "mean_token_accuracy": 0.363262693118304, "num_tokens": 2150396.0, "step": 220 }, { "entropy": 3.881282126903534, "epoch": 0.736, "grad_norm": 15.375, "learning_rate": 4.58e-06, "loss": 3.8711, "mean_token_accuracy": 0.36838123146444557, "num_tokens": 2250726.0, "step": 230 }, { "entropy": 3.8907541409134865, "epoch": 0.768, "grad_norm": 19.0, "learning_rate": 4.78e-06, "loss": 3.8523, "mean_token_accuracy": 0.36881062425673006, "num_tokens": 2346168.0, "step": 240 }, { "entropy": 3.8764460012316704, "epoch": 0.8, "grad_norm": 16.75, "learning_rate": 4.980000000000001e-06, "loss": 3.833, "mean_token_accuracy": 0.37063299771398306, "num_tokens": 2446303.0, "step": 250 }, { "entropy": 3.8517253383994103, "epoch": 0.832, "grad_norm": 16.5, "learning_rate": 5.18e-06, "loss": 3.8114, "mean_token_accuracy": 0.3745407974347472, "num_tokens": 2540899.0, "step": 260 }, { "entropy": 3.778804798424244, "epoch": 0.864, "grad_norm": 15.9375, "learning_rate": 5.380000000000001e-06, "loss": 3.73, "mean_token_accuracy": 0.37728464547544716, "num_tokens": 2638613.0, "step": 270 }, { "entropy": 3.7176755860447885, "epoch": 0.896, "grad_norm": 19.875, "learning_rate": 5.580000000000001e-06, "loss": 3.6871, "mean_token_accuracy": 0.3835112711414695, "num_tokens": 2743826.0, "step": 280 }, { "entropy": 3.7258670911192895, "epoch": 0.928, "grad_norm": 21.75, "learning_rate": 5.78e-06, "loss": 3.6856, "mean_token_accuracy": 0.38429632876068354, "num_tokens": 2847721.0, "step": 290 }, { "entropy": 3.712230232357979, "epoch": 0.96, "grad_norm": 15.6875, "learning_rate": 5.98e-06, "loss": 3.6164, "mean_token_accuracy": 0.3888826366513968, "num_tokens": 2948735.0, "step": 300 }, { "epoch": 0.96, "eval_coding_entropy": 1.794304684638977, "eval_coding_loss": 2.1738245487213135, "eval_coding_mean_token_accuracy": 0.5117835735082626, "eval_coding_num_tokens": 2948735.0, "eval_coding_runtime": 78.9169, "eval_coding_samples_per_second": 6.336, "eval_coding_steps_per_second": 3.168, "step": 300 }, { "epoch": 0.96, "eval_biology_entropy": 3.593994511604309, "eval_biology_loss": 3.689100503921509, "eval_biology_mean_token_accuracy": 0.39202056431770327, "eval_biology_num_tokens": 2948735.0, "eval_biology_runtime": 34.5492, "eval_biology_samples_per_second": 14.472, "eval_biology_steps_per_second": 7.236, "step": 300 }, { "entropy": 3.6798228099942207, "epoch": 0.992, "grad_norm": 18.375, "learning_rate": 6.18e-06, "loss": 3.6273, "mean_token_accuracy": 0.3867473939433694, "num_tokens": 3049436.0, "step": 310 }, { "entropy": 3.6835175109537026, "epoch": 1.0224, "grad_norm": 15.875, "learning_rate": 6.380000000000001e-06, "loss": 3.626, "mean_token_accuracy": 0.3879838499583696, "num_tokens": 3140209.0, "step": 320 }, { "entropy": 3.61849829852581, "epoch": 1.0544, "grad_norm": 15.1875, "learning_rate": 6.5800000000000005e-06, "loss": 3.5842, "mean_token_accuracy": 0.3950715743005276, "num_tokens": 3237743.0, "step": 330 }, { "entropy": 3.6082335516810415, "epoch": 1.0864, "grad_norm": 15.125, "learning_rate": 6.780000000000001e-06, "loss": 3.556, "mean_token_accuracy": 0.3969528621062636, "num_tokens": 3336343.0, "step": 340 }, { "entropy": 3.549923361837864, "epoch": 1.1184, "grad_norm": 18.75, "learning_rate": 6.98e-06, "loss": 3.4731, "mean_token_accuracy": 0.4048408783972263, "num_tokens": 3432312.0, "step": 350 }, { "entropy": 3.5383049845695496, "epoch": 1.1504, "grad_norm": 17.125, "learning_rate": 7.180000000000001e-06, "loss": 3.485, "mean_token_accuracy": 0.4019928781315684, "num_tokens": 3529743.0, "step": 360 }, { "entropy": 3.550269864499569, "epoch": 1.1824, "grad_norm": 18.625, "learning_rate": 7.3800000000000005e-06, "loss": 3.4992, "mean_token_accuracy": 0.40656839609146117, "num_tokens": 3628421.0, "step": 370 }, { "entropy": 3.549488727748394, "epoch": 1.2144, "grad_norm": 15.6875, "learning_rate": 7.58e-06, "loss": 3.5189, "mean_token_accuracy": 0.40171824395656586, "num_tokens": 3731754.0, "step": 380 }, { "entropy": 3.5428646177053453, "epoch": 1.2464, "grad_norm": 16.875, "learning_rate": 7.78e-06, "loss": 3.4652, "mean_token_accuracy": 0.40349574480205774, "num_tokens": 3833669.0, "step": 390 }, { "entropy": 3.412770676612854, "epoch": 1.2784, "grad_norm": 19.375, "learning_rate": 7.980000000000002e-06, "loss": 3.3885, "mean_token_accuracy": 0.4114306215196848, "num_tokens": 3933489.0, "step": 400 }, { "epoch": 1.2784, "eval_coding_entropy": 1.864494191646576, "eval_coding_loss": 2.1695075035095215, "eval_coding_mean_token_accuracy": 0.5126164103746415, "eval_coding_num_tokens": 3933489.0, "eval_coding_runtime": 79.6045, "eval_coding_samples_per_second": 6.281, "eval_coding_steps_per_second": 3.141, "step": 400 }, { "epoch": 1.2784, "eval_biology_entropy": 3.4962758731842043, "eval_biology_loss": 3.484936475753784, "eval_biology_mean_token_accuracy": 0.4131394236087799, "eval_biology_num_tokens": 3933489.0, "eval_biology_runtime": 34.5802, "eval_biology_samples_per_second": 14.459, "eval_biology_steps_per_second": 7.23, "step": 400 }, { "entropy": 3.447491915524006, "epoch": 1.3104, "grad_norm": 17.375, "learning_rate": 8.18e-06, "loss": 3.397, "mean_token_accuracy": 0.4184817912057042, "num_tokens": 4028501.0, "step": 410 }, { "entropy": 3.491288626194, "epoch": 1.3424, "grad_norm": 22.0, "learning_rate": 8.380000000000001e-06, "loss": 3.4228, "mean_token_accuracy": 0.4082869263365865, "num_tokens": 4128412.0, "step": 420 }, { "entropy": 3.4260040298104286, "epoch": 1.3744, "grad_norm": 18.25, "learning_rate": 8.580000000000001e-06, "loss": 3.3652, "mean_token_accuracy": 0.417889959923923, "num_tokens": 4228703.0, "step": 430 }, { "entropy": 3.4077636525034904, "epoch": 1.4064, "grad_norm": 20.375, "learning_rate": 8.78e-06, "loss": 3.3644, "mean_token_accuracy": 0.41263102628290654, "num_tokens": 4329623.0, "step": 440 }, { "entropy": 3.4000454649329184, "epoch": 1.4384000000000001, "grad_norm": 17.25, "learning_rate": 8.98e-06, "loss": 3.3629, "mean_token_accuracy": 0.41560379061847924, "num_tokens": 4424877.0, "step": 450 }, { "entropy": 3.473749025166035, "epoch": 1.4704, "grad_norm": 18.0, "learning_rate": 9.180000000000002e-06, "loss": 3.3787, "mean_token_accuracy": 0.4140065621584654, "num_tokens": 4518810.0, "step": 460 }, { "entropy": 3.418153963983059, "epoch": 1.5024, "grad_norm": 21.875, "learning_rate": 9.38e-06, "loss": 3.3539, "mean_token_accuracy": 0.41980997528880837, "num_tokens": 4617323.0, "step": 470 }, { "entropy": 3.410584717988968, "epoch": 1.5344, "grad_norm": 20.875, "learning_rate": 9.58e-06, "loss": 3.3493, "mean_token_accuracy": 0.4202044107019901, "num_tokens": 4719316.0, "step": 480 }, { "entropy": 3.3172555193305016, "epoch": 1.5664, "grad_norm": 23.75, "learning_rate": 9.780000000000001e-06, "loss": 3.2781, "mean_token_accuracy": 0.42654727064073084, "num_tokens": 4818127.0, "step": 490 }, { "entropy": 3.3434231370687484, "epoch": 1.5984, "grad_norm": 17.75, "learning_rate": 9.980000000000001e-06, "loss": 3.2655, "mean_token_accuracy": 0.42654075026512145, "num_tokens": 4915672.0, "step": 500 }, { "epoch": 1.5984, "eval_coding_entropy": 1.9044507808685303, "eval_coding_loss": 2.163560152053833, "eval_coding_mean_token_accuracy": 0.5137092983722686, "eval_coding_num_tokens": 4915672.0, "eval_coding_runtime": 78.8714, "eval_coding_samples_per_second": 6.339, "eval_coding_steps_per_second": 3.17, "step": 500 }, { "epoch": 1.5984, "eval_biology_entropy": 3.2849253273010253, "eval_biology_loss": 3.3220765590667725, "eval_biology_mean_token_accuracy": 0.4304432601928711, "eval_biology_num_tokens": 4915672.0, "eval_biology_runtime": 34.5563, "eval_biology_samples_per_second": 14.469, "eval_biology_steps_per_second": 7.235, "step": 500 }, { "entropy": 3.276486141234636, "epoch": 1.6303999999999998, "grad_norm": 19.5, "learning_rate": 1.018e-05, "loss": 3.2382, "mean_token_accuracy": 0.42907340787351134, "num_tokens": 5015381.0, "step": 510 }, { "entropy": 3.3447541266679766, "epoch": 1.6623999999999999, "grad_norm": 23.25, "learning_rate": 1.038e-05, "loss": 3.2677, "mean_token_accuracy": 0.42632252164185047, "num_tokens": 5117126.0, "step": 520 }, { "entropy": 3.3336540818214417, "epoch": 1.6944, "grad_norm": 20.75, "learning_rate": 1.0580000000000002e-05, "loss": 3.299, "mean_token_accuracy": 0.4259482711553574, "num_tokens": 5213073.0, "step": 530 }, { "entropy": 3.319507985562086, "epoch": 1.7264, "grad_norm": 20.0, "learning_rate": 1.0780000000000002e-05, "loss": 3.2425, "mean_token_accuracy": 0.4222921848297119, "num_tokens": 5308786.0, "step": 540 }, { "entropy": 3.249939414858818, "epoch": 1.7584, "grad_norm": 23.625, "learning_rate": 1.0980000000000002e-05, "loss": 3.2109, "mean_token_accuracy": 0.4321354482322931, "num_tokens": 5405141.0, "step": 550 }, { "entropy": 3.2699292853474615, "epoch": 1.7904, "grad_norm": 24.25, "learning_rate": 1.1180000000000001e-05, "loss": 3.2126, "mean_token_accuracy": 0.4329648604616523, "num_tokens": 5505162.0, "step": 560 }, { "entropy": 3.2213672384619714, "epoch": 1.8224, "grad_norm": 19.375, "learning_rate": 1.138e-05, "loss": 3.1498, "mean_token_accuracy": 0.4372351700440049, "num_tokens": 5604409.0, "step": 570 }, { "entropy": 3.158064991235733, "epoch": 1.8544, "grad_norm": 25.625, "learning_rate": 1.1580000000000001e-05, "loss": 3.0863, "mean_token_accuracy": 0.44516869317740204, "num_tokens": 5705344.0, "step": 580 }, { "entropy": 3.2133444771170616, "epoch": 1.8864, "grad_norm": 21.125, "learning_rate": 1.178e-05, "loss": 3.1518, "mean_token_accuracy": 0.4377427864819765, "num_tokens": 5794262.0, "step": 590 }, { "entropy": 3.2123986557126045, "epoch": 1.9184, "grad_norm": 21.0, "learning_rate": 1.198e-05, "loss": 3.1537, "mean_token_accuracy": 0.439489153586328, "num_tokens": 5895496.0, "step": 600 }, { "epoch": 1.9184, "eval_coding_entropy": 1.892683578968048, "eval_coding_loss": 2.1593310832977295, "eval_coding_mean_token_accuracy": 0.514176591873169, "eval_coding_num_tokens": 5895496.0, "eval_coding_runtime": 78.9615, "eval_coding_samples_per_second": 6.332, "eval_coding_steps_per_second": 3.166, "step": 600 }, { "epoch": 1.9184, "eval_biology_entropy": 3.14973046875, "eval_biology_loss": 3.1956348419189453, "eval_biology_mean_token_accuracy": 0.4422305516004562, "eval_biology_num_tokens": 5895496.0, "eval_biology_runtime": 34.5624, "eval_biology_samples_per_second": 14.467, "eval_biology_steps_per_second": 7.233, "step": 600 }, { "entropy": 3.2023044779896734, "epoch": 1.9504000000000001, "grad_norm": 20.375, "learning_rate": 1.218e-05, "loss": 3.145, "mean_token_accuracy": 0.4402220517396927, "num_tokens": 5992443.0, "step": 610 }, { "entropy": 3.173665773868561, "epoch": 1.9824000000000002, "grad_norm": 19.375, "learning_rate": 1.2380000000000002e-05, "loss": 3.1235, "mean_token_accuracy": 0.43916483521461486, "num_tokens": 6092718.0, "step": 620 }, { "entropy": 3.130789705012974, "epoch": 2.0128, "grad_norm": 21.5, "learning_rate": 1.2580000000000002e-05, "loss": 3.0485, "mean_token_accuracy": 0.4457206469225256, "num_tokens": 6184982.0, "step": 630 }, { "entropy": 3.024783915281296, "epoch": 2.0448, "grad_norm": 19.875, "learning_rate": 1.2780000000000001e-05, "loss": 2.992, "mean_token_accuracy": 0.45380019545555117, "num_tokens": 6286901.0, "step": 640 }, { "entropy": 3.1106227308511736, "epoch": 2.0768, "grad_norm": 20.25, "learning_rate": 1.2980000000000001e-05, "loss": 3.0474, "mean_token_accuracy": 0.4507150810211897, "num_tokens": 6381706.0, "step": 650 }, { "entropy": 3.070780225098133, "epoch": 2.1088, "grad_norm": 22.125, "learning_rate": 1.3180000000000001e-05, "loss": 3.014, "mean_token_accuracy": 0.45487339831888673, "num_tokens": 6478891.0, "step": 660 }, { "entropy": 3.1098087787628175, "epoch": 2.1408, "grad_norm": 25.75, "learning_rate": 1.3380000000000002e-05, "loss": 3.0755, "mean_token_accuracy": 0.44592468421906234, "num_tokens": 6576566.0, "step": 670 }, { "entropy": 3.086433382332325, "epoch": 2.1728, "grad_norm": 18.5, "learning_rate": 1.3580000000000002e-05, "loss": 3.0116, "mean_token_accuracy": 0.4536932479590178, "num_tokens": 6678216.0, "step": 680 }, { "entropy": 3.0678569465875625, "epoch": 2.2048, "grad_norm": 19.5, "learning_rate": 1.378e-05, "loss": 2.9845, "mean_token_accuracy": 0.4514392616227269, "num_tokens": 6771313.0, "step": 690 }, { "entropy": 3.0470827482640743, "epoch": 2.2368, "grad_norm": 23.0, "learning_rate": 1.398e-05, "loss": 2.9636, "mean_token_accuracy": 0.4556872248649597, "num_tokens": 6872028.0, "step": 700 }, { "epoch": 2.2368, "eval_coding_entropy": 1.8572090373039245, "eval_coding_loss": 2.177124500274658, "eval_coding_mean_token_accuracy": 0.513177493929863, "eval_coding_num_tokens": 6872028.0, "eval_coding_runtime": 78.9661, "eval_coding_samples_per_second": 6.332, "eval_coding_steps_per_second": 3.166, "step": 700 }, { "epoch": 2.2368, "eval_biology_entropy": 2.983607707500458, "eval_biology_loss": 3.0935444831848145, "eval_biology_mean_token_accuracy": 0.4546413152217865, "eval_biology_num_tokens": 6872028.0, "eval_biology_runtime": 34.9245, "eval_biology_samples_per_second": 14.317, "eval_biology_steps_per_second": 7.158, "step": 700 }, { "entropy": 3.0512571170926095, "epoch": 2.2688, "grad_norm": 18.75, "learning_rate": 1.418e-05, "loss": 2.9764, "mean_token_accuracy": 0.45544591508805754, "num_tokens": 6971802.0, "step": 710 }, { "entropy": 3.079524612426758, "epoch": 2.3008, "grad_norm": 22.0, "learning_rate": 1.4380000000000001e-05, "loss": 3.0142, "mean_token_accuracy": 0.45264575611799956, "num_tokens": 7067482.0, "step": 720 }, { "entropy": 3.0822106420993807, "epoch": 2.3327999999999998, "grad_norm": 25.75, "learning_rate": 1.4580000000000001e-05, "loss": 3.0382, "mean_token_accuracy": 0.45174078848212956, "num_tokens": 7164629.0, "step": 730 }, { "entropy": 3.01283405572176, "epoch": 2.3648, "grad_norm": 20.25, "learning_rate": 1.478e-05, "loss": 2.9356, "mean_token_accuracy": 0.46082064919173715, "num_tokens": 7260811.0, "step": 740 }, { "entropy": 3.0809263423085214, "epoch": 2.3968, "grad_norm": 18.5, "learning_rate": 1.498e-05, "loss": 2.9877, "mean_token_accuracy": 0.45245055090636016, "num_tokens": 7353504.0, "step": 750 }, { "entropy": 3.0187013909220695, "epoch": 2.4288, "grad_norm": 22.75, "learning_rate": 1.5180000000000002e-05, "loss": 2.9599, "mean_token_accuracy": 0.4591849962249398, "num_tokens": 7450239.0, "step": 760 }, { "entropy": 2.969215099513531, "epoch": 2.4608, "grad_norm": 22.875, "learning_rate": 1.5380000000000002e-05, "loss": 2.8833, "mean_token_accuracy": 0.4634178843349218, "num_tokens": 7549458.0, "step": 770 }, { "entropy": 2.9438143245875836, "epoch": 2.4928, "grad_norm": 18.5, "learning_rate": 1.5580000000000003e-05, "loss": 2.9044, "mean_token_accuracy": 0.4644233400002122, "num_tokens": 7646646.0, "step": 780 }, { "entropy": 2.9995977893471717, "epoch": 2.5248, "grad_norm": 19.875, "learning_rate": 1.578e-05, "loss": 2.9524, "mean_token_accuracy": 0.46077679973095653, "num_tokens": 7743967.0, "step": 790 }, { "entropy": 2.9542898386716843, "epoch": 2.5568, "grad_norm": 21.75, "learning_rate": 1.5980000000000003e-05, "loss": 2.8718, "mean_token_accuracy": 0.4678089875727892, "num_tokens": 7844679.0, "step": 800 }, { "epoch": 2.5568, "eval_coding_entropy": 1.8718931813240052, "eval_coding_loss": 2.1724154949188232, "eval_coding_mean_token_accuracy": 0.5149018170833588, "eval_coding_num_tokens": 7844679.0, "eval_coding_runtime": 78.9496, "eval_coding_samples_per_second": 6.333, "eval_coding_steps_per_second": 3.167, "step": 800 }, { "epoch": 2.5568, "eval_biology_entropy": 2.85398051404953, "eval_biology_loss": 2.9827656745910645, "eval_biology_mean_token_accuracy": 0.465399906039238, "eval_biology_num_tokens": 7844679.0, "eval_biology_runtime": 34.5946, "eval_biology_samples_per_second": 14.453, "eval_biology_steps_per_second": 7.227, "step": 800 }, { "entropy": 2.905091355741024, "epoch": 2.5888, "grad_norm": 20.0, "learning_rate": 1.618e-05, "loss": 2.8797, "mean_token_accuracy": 0.47355432007461784, "num_tokens": 7944653.0, "step": 810 }, { "entropy": 2.941771225631237, "epoch": 2.6208, "grad_norm": 20.625, "learning_rate": 1.638e-05, "loss": 2.857, "mean_token_accuracy": 0.4673197165131569, "num_tokens": 8043783.0, "step": 820 }, { "entropy": 2.992217946052551, "epoch": 2.6528, "grad_norm": 22.25, "learning_rate": 1.658e-05, "loss": 2.9048, "mean_token_accuracy": 0.46489576790481807, "num_tokens": 8142126.0, "step": 830 }, { "entropy": 2.9804361656308176, "epoch": 2.6848, "grad_norm": 18.75, "learning_rate": 1.6780000000000002e-05, "loss": 2.9216, "mean_token_accuracy": 0.462474500015378, "num_tokens": 8235244.0, "step": 840 }, { "entropy": 2.933942112326622, "epoch": 2.7168, "grad_norm": 18.125, "learning_rate": 1.698e-05, "loss": 2.8811, "mean_token_accuracy": 0.4669422248378396, "num_tokens": 8336300.0, "step": 850 }, { "entropy": 2.826403010636568, "epoch": 2.7488, "grad_norm": 20.375, "learning_rate": 1.718e-05, "loss": 2.7594, "mean_token_accuracy": 0.47525308579206466, "num_tokens": 8440110.0, "step": 860 }, { "entropy": 2.8751538641750813, "epoch": 2.7808, "grad_norm": 22.125, "learning_rate": 1.7380000000000003e-05, "loss": 2.8221, "mean_token_accuracy": 0.4738822041079402, "num_tokens": 8533528.0, "step": 870 }, { "entropy": 2.885574182868004, "epoch": 2.8128, "grad_norm": 22.375, "learning_rate": 1.758e-05, "loss": 2.8067, "mean_token_accuracy": 0.47314695566892623, "num_tokens": 8632702.0, "step": 880 }, { "entropy": 2.9287849619984625, "epoch": 2.8448, "grad_norm": 20.25, "learning_rate": 1.7780000000000003e-05, "loss": 2.8323, "mean_token_accuracy": 0.4664028905332088, "num_tokens": 8729727.0, "step": 890 }, { "entropy": 2.885370475798845, "epoch": 2.8768000000000002, "grad_norm": 20.75, "learning_rate": 1.798e-05, "loss": 2.8442, "mean_token_accuracy": 0.46528117191046475, "num_tokens": 8831917.0, "step": 900 }, { "epoch": 2.8768000000000002, "eval_coding_entropy": 1.8902995553016662, "eval_coding_loss": 2.1872222423553467, "eval_coding_mean_token_accuracy": 0.5130699964761734, "eval_coding_num_tokens": 8831917.0, "eval_coding_runtime": 78.9145, "eval_coding_samples_per_second": 6.336, "eval_coding_steps_per_second": 3.168, "step": 900 }, { "epoch": 2.8768000000000002, "eval_biology_entropy": 2.868830183506012, "eval_biology_loss": 2.891908884048462, "eval_biology_mean_token_accuracy": 0.4745277794599533, "eval_biology_num_tokens": 8831917.0, "eval_biology_runtime": 34.562, "eval_biology_samples_per_second": 14.467, "eval_biology_steps_per_second": 7.233, "step": 900 }, { "entropy": 2.884679964929819, "epoch": 2.9088000000000003, "grad_norm": 22.0, "learning_rate": 1.8180000000000002e-05, "loss": 2.7851, "mean_token_accuracy": 0.4735592044889927, "num_tokens": 8931811.0, "step": 910 }, { "entropy": 2.8508158676326274, "epoch": 2.9408, "grad_norm": 23.25, "learning_rate": 1.8380000000000004e-05, "loss": 2.7834, "mean_token_accuracy": 0.47639975920319555, "num_tokens": 9033255.0, "step": 920 }, { "entropy": 2.8332293681800365, "epoch": 2.9728, "grad_norm": 19.875, "learning_rate": 1.858e-05, "loss": 2.7458, "mean_token_accuracy": 0.47748742904514074, "num_tokens": 9129675.0, "step": 930 }, { "entropy": 2.8580648820651207, "epoch": 3.0032, "grad_norm": 20.375, "learning_rate": 1.878e-05, "loss": 2.7791, "mean_token_accuracy": 0.4723091986226408, "num_tokens": 9224886.0, "step": 940 }, { "entropy": 2.7373731434345245, "epoch": 3.0352, "grad_norm": 18.625, "learning_rate": 1.898e-05, "loss": 2.6356, "mean_token_accuracy": 0.4919461887329817, "num_tokens": 9325062.0, "step": 950 }, { "entropy": 2.727712345123291, "epoch": 3.0672, "grad_norm": 20.75, "learning_rate": 1.918e-05, "loss": 2.6412, "mean_token_accuracy": 0.4901068951934576, "num_tokens": 9424019.0, "step": 960 }, { "entropy": 2.707367330044508, "epoch": 3.0992, "grad_norm": 20.625, "learning_rate": 1.938e-05, "loss": 2.6608, "mean_token_accuracy": 0.4915515352040529, "num_tokens": 9526246.0, "step": 970 }, { "entropy": 2.718513052165508, "epoch": 3.1312, "grad_norm": 18.25, "learning_rate": 1.9580000000000002e-05, "loss": 2.6232, "mean_token_accuracy": 0.48776335902512075, "num_tokens": 9624382.0, "step": 980 }, { "entropy": 2.7374294199049474, "epoch": 3.1632, "grad_norm": 21.375, "learning_rate": 1.978e-05, "loss": 2.6429, "mean_token_accuracy": 0.48988417275249957, "num_tokens": 9719411.0, "step": 990 }, { "entropy": 2.7222474955022333, "epoch": 3.1952, "grad_norm": 20.375, "learning_rate": 1.9980000000000002e-05, "loss": 2.6263, "mean_token_accuracy": 0.4935696581378579, "num_tokens": 9819220.0, "step": 1000 }, { "epoch": 3.1952, "eval_coding_entropy": 1.7593334603309632, "eval_coding_loss": 2.205096960067749, "eval_coding_mean_token_accuracy": 0.5136193619966507, "eval_coding_num_tokens": 9819220.0, "eval_coding_runtime": 78.8943, "eval_coding_samples_per_second": 6.338, "eval_coding_steps_per_second": 3.169, "step": 1000 }, { "epoch": 3.1952, "eval_biology_entropy": 2.6804689655303955, "eval_biology_loss": 2.818235397338867, "eval_biology_mean_token_accuracy": 0.48389568710327147, "eval_biology_num_tokens": 9819220.0, "eval_biology_runtime": 34.6726, "eval_biology_samples_per_second": 14.421, "eval_biology_steps_per_second": 7.21, "step": 1000 }, { "entropy": 2.6821524411439897, "epoch": 3.2272, "grad_norm": 25.0, "learning_rate": 1.9980000000000002e-05, "loss": 2.5881, "mean_token_accuracy": 0.4957658048719168, "num_tokens": 9917642.0, "step": 1010 }, { "entropy": 2.643439619243145, "epoch": 3.2592, "grad_norm": 17.25, "learning_rate": 1.995777777777778e-05, "loss": 2.5861, "mean_token_accuracy": 0.4964464308694005, "num_tokens": 10016171.0, "step": 1020 }, { "entropy": 2.69493540674448, "epoch": 3.2912, "grad_norm": 21.25, "learning_rate": 1.9935555555555557e-05, "loss": 2.6244, "mean_token_accuracy": 0.49275039993226527, "num_tokens": 10113317.0, "step": 1030 }, { "entropy": 2.6980527356266975, "epoch": 3.3232, "grad_norm": 21.0, "learning_rate": 1.9913333333333335e-05, "loss": 2.6358, "mean_token_accuracy": 0.4931097852066159, "num_tokens": 10209948.0, "step": 1040 }, { "entropy": 2.704365950077772, "epoch": 3.3552, "grad_norm": 17.375, "learning_rate": 1.9891111111111112e-05, "loss": 2.6278, "mean_token_accuracy": 0.4901678072288632, "num_tokens": 10304993.0, "step": 1050 }, { "entropy": 2.6926429100334643, "epoch": 3.3872, "grad_norm": 23.375, "learning_rate": 1.986888888888889e-05, "loss": 2.6281, "mean_token_accuracy": 0.49370026849210263, "num_tokens": 10403340.0, "step": 1060 }, { "entropy": 2.7046832494437694, "epoch": 3.4192, "grad_norm": 23.625, "learning_rate": 1.9846666666666668e-05, "loss": 2.6136, "mean_token_accuracy": 0.49537604544311764, "num_tokens": 10499289.0, "step": 1070 }, { "entropy": 2.6765974409878255, "epoch": 3.4512, "grad_norm": 22.75, "learning_rate": 1.9824444444444445e-05, "loss": 2.6201, "mean_token_accuracy": 0.49774726927280427, "num_tokens": 10595192.0, "step": 1080 }, { "entropy": 2.661435030400753, "epoch": 3.4832, "grad_norm": 20.375, "learning_rate": 1.9802222222222226e-05, "loss": 2.6017, "mean_token_accuracy": 0.49518649335950615, "num_tokens": 10692762.0, "step": 1090 }, { "entropy": 2.6369900465011598, "epoch": 3.5152, "grad_norm": 20.25, "learning_rate": 1.978e-05, "loss": 2.5617, "mean_token_accuracy": 0.4994138855487108, "num_tokens": 10795865.0, "step": 1100 }, { "epoch": 3.5152, "eval_coding_entropy": 1.8151787004470825, "eval_coding_loss": 2.212179183959961, "eval_coding_mean_token_accuracy": 0.5126535563468934, "eval_coding_num_tokens": 10795865.0, "eval_coding_runtime": 79.0002, "eval_coding_samples_per_second": 6.329, "eval_coding_steps_per_second": 3.165, "step": 1100 }, { "epoch": 3.5152, "eval_biology_entropy": 2.6696902551651003, "eval_biology_loss": 2.7315852642059326, "eval_biology_mean_token_accuracy": 0.4940973354578018, "eval_biology_num_tokens": 10795865.0, "eval_biology_runtime": 34.6872, "eval_biology_samples_per_second": 14.415, "eval_biology_steps_per_second": 7.207, "step": 1100 }, { "entropy": 2.64646837413311, "epoch": 3.5472, "grad_norm": 19.75, "learning_rate": 1.975777777777778e-05, "loss": 2.5694, "mean_token_accuracy": 0.5007585499435663, "num_tokens": 10896150.0, "step": 1110 }, { "entropy": 2.5886894077062608, "epoch": 3.5792, "grad_norm": 20.125, "learning_rate": 1.9735555555555556e-05, "loss": 2.5421, "mean_token_accuracy": 0.503319687396288, "num_tokens": 10994009.0, "step": 1120 }, { "entropy": 2.664226660132408, "epoch": 3.6112, "grad_norm": 21.0, "learning_rate": 1.9713333333333337e-05, "loss": 2.5748, "mean_token_accuracy": 0.4976232260465622, "num_tokens": 11088408.0, "step": 1130 }, { "entropy": 2.591143436729908, "epoch": 3.6432, "grad_norm": 19.0, "learning_rate": 1.969111111111111e-05, "loss": 2.5241, "mean_token_accuracy": 0.5072892276570201, "num_tokens": 11189792.0, "step": 1140 }, { "entropy": 2.607444966584444, "epoch": 3.6752000000000002, "grad_norm": 18.375, "learning_rate": 1.9668888888888892e-05, "loss": 2.5651, "mean_token_accuracy": 0.5035420592874289, "num_tokens": 11287885.0, "step": 1150 }, { "entropy": 2.5825724259018896, "epoch": 3.7072000000000003, "grad_norm": 18.875, "learning_rate": 1.9646666666666666e-05, "loss": 2.519, "mean_token_accuracy": 0.5080195646733046, "num_tokens": 11386948.0, "step": 1160 }, { "entropy": 2.638581147044897, "epoch": 3.7392, "grad_norm": 15.8125, "learning_rate": 1.9624444444444447e-05, "loss": 2.5488, "mean_token_accuracy": 0.4984665771946311, "num_tokens": 11486738.0, "step": 1170 }, { "entropy": 2.623228520154953, "epoch": 3.7712, "grad_norm": 18.5, "learning_rate": 1.9602222222222225e-05, "loss": 2.5644, "mean_token_accuracy": 0.4989262154325843, "num_tokens": 11587111.0, "step": 1180 }, { "entropy": 2.595949812233448, "epoch": 3.8032, "grad_norm": 20.25, "learning_rate": 1.9580000000000002e-05, "loss": 2.5348, "mean_token_accuracy": 0.5062878143042326, "num_tokens": 11683518.0, "step": 1190 }, { "entropy": 2.552212902158499, "epoch": 3.8352, "grad_norm": 18.5, "learning_rate": 1.955777777777778e-05, "loss": 2.4693, "mean_token_accuracy": 0.5114001492038369, "num_tokens": 11787112.0, "step": 1200 }, { "epoch": 3.8352, "eval_coding_entropy": 1.821248462677002, "eval_coding_loss": 2.2172763347625732, "eval_coding_mean_token_accuracy": 0.5105675404071808, "eval_coding_num_tokens": 11787112.0, "eval_coding_runtime": 79.0098, "eval_coding_samples_per_second": 6.328, "eval_coding_steps_per_second": 3.164, "step": 1200 }, { "epoch": 3.8352, "eval_biology_entropy": 2.618246515274048, "eval_biology_loss": 2.6723146438598633, "eval_biology_mean_token_accuracy": 0.499475853562355, "eval_biology_num_tokens": 11787112.0, "eval_biology_runtime": 34.6592, "eval_biology_samples_per_second": 14.426, "eval_biology_steps_per_second": 7.213, "step": 1200 }, { "entropy": 2.606553990393877, "epoch": 3.8672, "grad_norm": 19.5, "learning_rate": 1.9535555555555557e-05, "loss": 2.5365, "mean_token_accuracy": 0.5034115230664611, "num_tokens": 11882695.0, "step": 1210 }, { "entropy": 2.623321808129549, "epoch": 3.8992, "grad_norm": 17.5, "learning_rate": 1.9513333333333335e-05, "loss": 2.5545, "mean_token_accuracy": 0.5018050175160169, "num_tokens": 11983604.0, "step": 1220 }, { "entropy": 2.588004069030285, "epoch": 3.9312, "grad_norm": 17.375, "learning_rate": 1.9491111111111113e-05, "loss": 2.5174, "mean_token_accuracy": 0.5051012465730309, "num_tokens": 12076708.0, "step": 1230 }, { "entropy": 2.6090625591576098, "epoch": 3.9632, "grad_norm": 16.875, "learning_rate": 1.946888888888889e-05, "loss": 2.5337, "mean_token_accuracy": 0.5051190486177802, "num_tokens": 12176747.0, "step": 1240 }, { "entropy": 2.584036312997341, "epoch": 3.9952, "grad_norm": 19.75, "learning_rate": 1.9446666666666668e-05, "loss": 2.4902, "mean_token_accuracy": 0.5087237313389779, "num_tokens": 12272241.0, "step": 1250 }, { "entropy": 2.472858669726472, "epoch": 4.0256, "grad_norm": 18.125, "learning_rate": 1.9424444444444446e-05, "loss": 2.3856, "mean_token_accuracy": 0.521043097110171, "num_tokens": 12359739.0, "step": 1260 }, { "entropy": 2.34643474444747, "epoch": 4.0576, "grad_norm": 21.0, "learning_rate": 1.9402222222222223e-05, "loss": 2.2626, "mean_token_accuracy": 0.5364229042083025, "num_tokens": 12460555.0, "step": 1270 }, { "entropy": 2.4080297112464906, "epoch": 4.0896, "grad_norm": 17.25, "learning_rate": 1.938e-05, "loss": 2.355, "mean_token_accuracy": 0.5255401773378253, "num_tokens": 12554461.0, "step": 1280 }, { "entropy": 2.394774776697159, "epoch": 4.1216, "grad_norm": 16.5, "learning_rate": 1.935777777777778e-05, "loss": 2.3188, "mean_token_accuracy": 0.5288082377985119, "num_tokens": 12653465.0, "step": 1290 }, { "entropy": 2.391275504231453, "epoch": 4.1536, "grad_norm": 21.625, "learning_rate": 1.9335555555555556e-05, "loss": 2.2848, "mean_token_accuracy": 0.5329740956425667, "num_tokens": 12748340.0, "step": 1300 }, { "epoch": 4.1536, "eval_coding_entropy": 1.6686400065422058, "eval_coding_loss": 2.2645514011383057, "eval_coding_mean_token_accuracy": 0.5102254449129104, "eval_coding_num_tokens": 12748340.0, "eval_coding_runtime": 79.0388, "eval_coding_samples_per_second": 6.326, "eval_coding_steps_per_second": 3.163, "step": 1300 }, { "epoch": 4.1536, "eval_biology_entropy": 2.3491821846961973, "eval_biology_loss": 2.634176015853882, "eval_biology_mean_token_accuracy": 0.5061246186494828, "eval_biology_num_tokens": 12748340.0, "eval_biology_runtime": 34.6148, "eval_biology_samples_per_second": 14.445, "eval_biology_steps_per_second": 7.222, "step": 1300 }, { "entropy": 2.3668478064239027, "epoch": 4.1856, "grad_norm": 20.125, "learning_rate": 1.9313333333333334e-05, "loss": 2.2853, "mean_token_accuracy": 0.5337071912363172, "num_tokens": 12847096.0, "step": 1310 }, { "entropy": 2.311310113221407, "epoch": 4.2176, "grad_norm": 15.0625, "learning_rate": 1.9291111111111115e-05, "loss": 2.2384, "mean_token_accuracy": 0.5418357422575355, "num_tokens": 12946388.0, "step": 1320 }, { "entropy": 2.352651536464691, "epoch": 4.2496, "grad_norm": 16.375, "learning_rate": 1.926888888888889e-05, "loss": 2.2586, "mean_token_accuracy": 0.5339978907257319, "num_tokens": 13042597.0, "step": 1330 }, { "entropy": 2.3916583247482777, "epoch": 4.2816, "grad_norm": 20.875, "learning_rate": 1.924666666666667e-05, "loss": 2.3214, "mean_token_accuracy": 0.5277318973094225, "num_tokens": 13137019.0, "step": 1340 }, { "entropy": 2.407442457228899, "epoch": 4.3136, "grad_norm": 22.375, "learning_rate": 1.9224444444444444e-05, "loss": 2.3233, "mean_token_accuracy": 0.529756323620677, "num_tokens": 13234780.0, "step": 1350 }, { "entropy": 2.370780614763498, "epoch": 4.3456, "grad_norm": 16.75, "learning_rate": 1.9202222222222225e-05, "loss": 2.2856, "mean_token_accuracy": 0.5306474581360817, "num_tokens": 13334469.0, "step": 1360 }, { "entropy": 2.375711131095886, "epoch": 4.3776, "grad_norm": 17.125, "learning_rate": 1.918e-05, "loss": 2.3092, "mean_token_accuracy": 0.5324419310316444, "num_tokens": 13432836.0, "step": 1370 }, { "entropy": 2.4337742544710634, "epoch": 4.4096, "grad_norm": 15.3125, "learning_rate": 1.915777777777778e-05, "loss": 2.3333, "mean_token_accuracy": 0.5236062532290816, "num_tokens": 13530508.0, "step": 1380 }, { "entropy": 2.330331479758024, "epoch": 4.4416, "grad_norm": 18.125, "learning_rate": 1.9135555555555555e-05, "loss": 2.2633, "mean_token_accuracy": 0.5389384172856808, "num_tokens": 13633161.0, "step": 1390 }, { "entropy": 2.3866625733673574, "epoch": 4.4736, "grad_norm": 15.375, "learning_rate": 1.9113333333333336e-05, "loss": 2.2892, "mean_token_accuracy": 0.5333944335579872, "num_tokens": 13731330.0, "step": 1400 }, { "epoch": 4.4736, "eval_coding_entropy": 1.7261567716598512, "eval_coding_loss": 2.27376389503479, "eval_coding_mean_token_accuracy": 0.5079633537530899, "eval_coding_num_tokens": 13731330.0, "eval_coding_runtime": 78.9748, "eval_coding_samples_per_second": 6.331, "eval_coding_steps_per_second": 3.166, "step": 1400 }, { "epoch": 4.4736, "eval_biology_entropy": 2.3869504251480103, "eval_biology_loss": 2.5860044956207275, "eval_biology_mean_token_accuracy": 0.5117661204338074, "eval_biology_num_tokens": 13731330.0, "eval_biology_runtime": 34.6224, "eval_biology_samples_per_second": 14.442, "eval_biology_steps_per_second": 7.221, "step": 1400 }, { "entropy": 2.3977055683732034, "epoch": 4.5056, "grad_norm": 17.0, "learning_rate": 1.9091111111111113e-05, "loss": 2.3212, "mean_token_accuracy": 0.526662690937519, "num_tokens": 13822911.0, "step": 1410 }, { "entropy": 2.313427411019802, "epoch": 4.5376, "grad_norm": 17.375, "learning_rate": 1.906888888888889e-05, "loss": 2.2541, "mean_token_accuracy": 0.5411791836842894, "num_tokens": 13926058.0, "step": 1420 }, { "entropy": 2.2551471143960953, "epoch": 4.5696, "grad_norm": 17.0, "learning_rate": 1.904666666666667e-05, "loss": 2.1854, "mean_token_accuracy": 0.5493083782494068, "num_tokens": 14035552.0, "step": 1430 }, { "entropy": 2.3578838713467123, "epoch": 4.6016, "grad_norm": 16.625, "learning_rate": 1.9024444444444446e-05, "loss": 2.2836, "mean_token_accuracy": 0.5363319680094719, "num_tokens": 14134769.0, "step": 1440 }, { "entropy": 2.3566885352134705, "epoch": 4.6336, "grad_norm": 21.625, "learning_rate": 1.9002222222222224e-05, "loss": 2.2625, "mean_token_accuracy": 0.5347570797428489, "num_tokens": 14232004.0, "step": 1450 }, { "entropy": 2.3043198555707933, "epoch": 4.6655999999999995, "grad_norm": 16.875, "learning_rate": 1.898e-05, "loss": 2.2346, "mean_token_accuracy": 0.5425456454977393, "num_tokens": 14333953.0, "step": 1460 }, { "entropy": 2.310309498012066, "epoch": 4.6975999999999996, "grad_norm": 16.625, "learning_rate": 1.895777777777778e-05, "loss": 2.2344, "mean_token_accuracy": 0.5393823731690646, "num_tokens": 14437164.0, "step": 1470 }, { "entropy": 2.373570270091295, "epoch": 4.7296, "grad_norm": 19.25, "learning_rate": 1.8935555555555556e-05, "loss": 2.2902, "mean_token_accuracy": 0.5355667784810066, "num_tokens": 14532641.0, "step": 1480 }, { "entropy": 2.345385494083166, "epoch": 4.7616, "grad_norm": 18.25, "learning_rate": 1.8913333333333334e-05, "loss": 2.2528, "mean_token_accuracy": 0.5387666182592511, "num_tokens": 14633165.0, "step": 1490 }, { "entropy": 2.3080789014697074, "epoch": 4.7936, "grad_norm": 16.625, "learning_rate": 1.8891111111111115e-05, "loss": 2.2308, "mean_token_accuracy": 0.5400335062295198, "num_tokens": 14732212.0, "step": 1500 }, { "epoch": 4.7936, "eval_coding_entropy": 1.73171142911911, "eval_coding_loss": 2.283193826675415, "eval_coding_mean_token_accuracy": 0.508676981806755, "eval_coding_num_tokens": 14732212.0, "eval_coding_runtime": 78.9397, "eval_coding_samples_per_second": 6.334, "eval_coding_steps_per_second": 3.167, "step": 1500 }, { "epoch": 4.7936, "eval_biology_entropy": 2.392736424446106, "eval_biology_loss": 2.536526679992676, "eval_biology_mean_token_accuracy": 0.5183096739053726, "eval_biology_num_tokens": 14732212.0, "eval_biology_runtime": 34.5523, "eval_biology_samples_per_second": 14.471, "eval_biology_steps_per_second": 7.235, "step": 1500 }, { "entropy": 2.379144427925348, "epoch": 4.8256, "grad_norm": 17.25, "learning_rate": 1.886888888888889e-05, "loss": 2.287, "mean_token_accuracy": 0.5354940524324775, "num_tokens": 14829637.0, "step": 1510 }, { "entropy": 2.378316131234169, "epoch": 4.8576, "grad_norm": 16.25, "learning_rate": 1.884666666666667e-05, "loss": 2.299, "mean_token_accuracy": 0.5294545406475664, "num_tokens": 14920973.0, "step": 1520 }, { "entropy": 2.388844187557697, "epoch": 4.8896, "grad_norm": 17.375, "learning_rate": 1.8824444444444445e-05, "loss": 2.3172, "mean_token_accuracy": 0.5300939682871103, "num_tokens": 15017913.0, "step": 1530 }, { "entropy": 2.319888374954462, "epoch": 4.9216, "grad_norm": 15.875, "learning_rate": 1.8802222222222226e-05, "loss": 2.25, "mean_token_accuracy": 0.5391564985737205, "num_tokens": 15115005.0, "step": 1540 }, { "entropy": 2.328956404328346, "epoch": 4.9536, "grad_norm": 17.0, "learning_rate": 1.878e-05, "loss": 2.2304, "mean_token_accuracy": 0.5401576224714517, "num_tokens": 15210403.0, "step": 1550 }, { "entropy": 2.322893363237381, "epoch": 4.9856, "grad_norm": 14.75, "learning_rate": 1.875777777777778e-05, "loss": 2.2403, "mean_token_accuracy": 0.5404085170477628, "num_tokens": 15315187.0, "step": 1560 }, { "entropy": 2.2824014707615503, "epoch": 5.016, "grad_norm": 14.1875, "learning_rate": 1.873555555555556e-05, "loss": 2.2134, "mean_token_accuracy": 0.5456873845112952, "num_tokens": 15409643.0, "step": 1570 }, { "entropy": 2.0921800576150416, "epoch": 5.048, "grad_norm": 21.125, "learning_rate": 1.8713333333333336e-05, "loss": 1.9933, "mean_token_accuracy": 0.5728920195251703, "num_tokens": 15512455.0, "step": 1580 }, { "entropy": 2.205993994325399, "epoch": 5.08, "grad_norm": 15.375, "learning_rate": 1.8691111111111114e-05, "loss": 2.1219, "mean_token_accuracy": 0.5554239621385932, "num_tokens": 15605993.0, "step": 1590 }, { "entropy": 2.1570269420742987, "epoch": 5.112, "grad_norm": 16.125, "learning_rate": 1.866888888888889e-05, "loss": 2.0662, "mean_token_accuracy": 0.5643594058230519, "num_tokens": 15704177.0, "step": 1600 }, { "epoch": 5.112, "eval_coding_entropy": 1.606255702495575, "eval_coding_loss": 2.350952625274658, "eval_coding_mean_token_accuracy": 0.5046476621627808, "eval_coding_num_tokens": 15704177.0, "eval_coding_runtime": 78.9543, "eval_coding_samples_per_second": 6.333, "eval_coding_steps_per_second": 3.166, "step": 1600 }, { "epoch": 5.112, "eval_biology_entropy": 2.1643831424713134, "eval_biology_loss": 2.545173168182373, "eval_biology_mean_token_accuracy": 0.518920934677124, "eval_biology_num_tokens": 15704177.0, "eval_biology_runtime": 34.572, "eval_biology_samples_per_second": 14.463, "eval_biology_steps_per_second": 7.231, "step": 1600 }, { "entropy": 2.1564591567963363, "epoch": 5.144, "grad_norm": 18.125, "learning_rate": 1.864666666666667e-05, "loss": 2.0704, "mean_token_accuracy": 0.5592444071546196, "num_tokens": 15798327.0, "step": 1610 }, { "entropy": 2.141941160708666, "epoch": 5.176, "grad_norm": 17.375, "learning_rate": 1.8624444444444446e-05, "loss": 2.0211, "mean_token_accuracy": 0.5634208859875798, "num_tokens": 15892964.0, "step": 1620 }, { "entropy": 2.1816854923963547, "epoch": 5.208, "grad_norm": 17.0, "learning_rate": 1.8602222222222224e-05, "loss": 2.0997, "mean_token_accuracy": 0.5580162599682807, "num_tokens": 15992896.0, "step": 1630 }, { "entropy": 2.1366577565670015, "epoch": 5.24, "grad_norm": 16.875, "learning_rate": 1.858e-05, "loss": 2.0527, "mean_token_accuracy": 0.5645586859434844, "num_tokens": 16092490.0, "step": 1640 }, { "entropy": 2.1900168932974338, "epoch": 5.272, "grad_norm": 15.3125, "learning_rate": 1.855777777777778e-05, "loss": 2.1034, "mean_token_accuracy": 0.5599051252007484, "num_tokens": 16192809.0, "step": 1650 }, { "entropy": 2.0789007574319838, "epoch": 5.304, "grad_norm": 17.75, "learning_rate": 1.8535555555555557e-05, "loss": 1.9994, "mean_token_accuracy": 0.575955624319613, "num_tokens": 16295883.0, "step": 1660 }, { "entropy": 2.1156801864504815, "epoch": 5.336, "grad_norm": 14.0, "learning_rate": 1.8513333333333335e-05, "loss": 2.025, "mean_token_accuracy": 0.5662754917517304, "num_tokens": 16391035.0, "step": 1670 }, { "entropy": 2.167324597388506, "epoch": 5.368, "grad_norm": 19.5, "learning_rate": 1.8491111111111112e-05, "loss": 2.1154, "mean_token_accuracy": 0.5577886115759612, "num_tokens": 16484283.0, "step": 1680 }, { "entropy": 2.09282573312521, "epoch": 5.4, "grad_norm": 14.0625, "learning_rate": 1.846888888888889e-05, "loss": 2.0044, "mean_token_accuracy": 0.5713933141902089, "num_tokens": 16582622.0, "step": 1690 }, { "entropy": 2.1480760030448436, "epoch": 5.432, "grad_norm": 15.125, "learning_rate": 1.8446666666666667e-05, "loss": 2.0442, "mean_token_accuracy": 0.562722404487431, "num_tokens": 16680224.0, "step": 1700 }, { "epoch": 5.432, "eval_coding_entropy": 1.5985201392173767, "eval_coding_loss": 2.355341911315918, "eval_coding_mean_token_accuracy": 0.5027512958049775, "eval_coding_num_tokens": 16680224.0, "eval_coding_runtime": 78.9432, "eval_coding_samples_per_second": 6.334, "eval_coding_steps_per_second": 3.167, "step": 1700 }, { "epoch": 5.432, "eval_biology_entropy": 2.1854574666023256, "eval_biology_loss": 2.508324146270752, "eval_biology_mean_token_accuracy": 0.5225892701148986, "eval_biology_num_tokens": 16680224.0, "eval_biology_runtime": 34.6309, "eval_biology_samples_per_second": 14.438, "eval_biology_steps_per_second": 7.219, "step": 1700 }, { "entropy": 2.0809989593923093, "epoch": 5.464, "grad_norm": 15.875, "learning_rate": 1.842444444444445e-05, "loss": 2.0057, "mean_token_accuracy": 0.5693793009966612, "num_tokens": 16786599.0, "step": 1710 }, { "entropy": 2.103484392911196, "epoch": 5.496, "grad_norm": 14.5, "learning_rate": 1.8402222222222223e-05, "loss": 2.0262, "mean_token_accuracy": 0.569659705273807, "num_tokens": 16886909.0, "step": 1720 }, { "entropy": 2.161328002810478, "epoch": 5.5280000000000005, "grad_norm": 17.25, "learning_rate": 1.8380000000000004e-05, "loss": 2.0827, "mean_token_accuracy": 0.5596394496038556, "num_tokens": 16976330.0, "step": 1730 }, { "entropy": 2.111246530711651, "epoch": 5.5600000000000005, "grad_norm": 15.375, "learning_rate": 1.8357777777777778e-05, "loss": 1.9911, "mean_token_accuracy": 0.5712085694074631, "num_tokens": 17077377.0, "step": 1740 }, { "entropy": 2.050750946253538, "epoch": 5.592, "grad_norm": 18.625, "learning_rate": 1.833555555555556e-05, "loss": 1.9786, "mean_token_accuracy": 0.572969813272357, "num_tokens": 17175724.0, "step": 1750 }, { "entropy": 2.1586254596710206, "epoch": 5.624, "grad_norm": 15.1875, "learning_rate": 1.8313333333333333e-05, "loss": 2.0624, "mean_token_accuracy": 0.5622333124279976, "num_tokens": 17273208.0, "step": 1760 }, { "entropy": 2.1071687392890452, "epoch": 5.656, "grad_norm": 16.625, "learning_rate": 1.8291111111111114e-05, "loss": 2.0157, "mean_token_accuracy": 0.5673394788056612, "num_tokens": 17369608.0, "step": 1770 }, { "entropy": 2.1135758481919766, "epoch": 5.688, "grad_norm": 14.6875, "learning_rate": 1.8268888888888888e-05, "loss": 2.0291, "mean_token_accuracy": 0.5678149970248342, "num_tokens": 17463192.0, "step": 1780 }, { "entropy": 2.130234959721565, "epoch": 5.72, "grad_norm": 15.5625, "learning_rate": 1.824666666666667e-05, "loss": 2.0629, "mean_token_accuracy": 0.5624657543376088, "num_tokens": 17561538.0, "step": 1790 }, { "entropy": 2.1406769305467606, "epoch": 5.752, "grad_norm": 17.625, "learning_rate": 1.8224444444444447e-05, "loss": 2.0362, "mean_token_accuracy": 0.5657033832743764, "num_tokens": 17659648.0, "step": 1800 }, { "epoch": 5.752, "eval_coding_entropy": 1.5892016682624817, "eval_coding_loss": 2.3968281745910645, "eval_coding_mean_token_accuracy": 0.49928104650974275, "eval_coding_num_tokens": 17659648.0, "eval_coding_runtime": 78.9507, "eval_coding_samples_per_second": 6.333, "eval_coding_steps_per_second": 3.167, "step": 1800 }, { "epoch": 5.752, "eval_biology_entropy": 2.13502747964859, "eval_biology_loss": 2.4895498752593994, "eval_biology_mean_token_accuracy": 0.5265302859544754, "eval_biology_num_tokens": 17659648.0, "eval_biology_runtime": 34.6074, "eval_biology_samples_per_second": 14.448, "eval_biology_steps_per_second": 7.224, "step": 1800 }, { "entropy": 2.1306553721427917, "epoch": 5.784, "grad_norm": 15.375, "learning_rate": 1.8202222222222225e-05, "loss": 2.0563, "mean_token_accuracy": 0.5620468180626631, "num_tokens": 17758427.0, "step": 1810 }, { "entropy": 2.055387606471777, "epoch": 5.816, "grad_norm": 16.0, "learning_rate": 1.8180000000000002e-05, "loss": 1.9563, "mean_token_accuracy": 0.5758049864321947, "num_tokens": 17862480.0, "step": 1820 }, { "entropy": 2.126579797267914, "epoch": 5.848, "grad_norm": 14.0, "learning_rate": 1.815777777777778e-05, "loss": 2.028, "mean_token_accuracy": 0.5658794036135077, "num_tokens": 17964710.0, "step": 1830 }, { "entropy": 2.07228102684021, "epoch": 5.88, "grad_norm": 15.25, "learning_rate": 1.8135555555555557e-05, "loss": 2.0038, "mean_token_accuracy": 0.5738436767831445, "num_tokens": 18068440.0, "step": 1840 }, { "entropy": 2.161037439852953, "epoch": 5.912, "grad_norm": 17.125, "learning_rate": 1.8113333333333335e-05, "loss": 2.0765, "mean_token_accuracy": 0.5592521218582988, "num_tokens": 18164947.0, "step": 1850 }, { "entropy": 2.1283591516315936, "epoch": 5.944, "grad_norm": 15.4375, "learning_rate": 1.8091111111111113e-05, "loss": 2.0441, "mean_token_accuracy": 0.5676074722781778, "num_tokens": 18261099.0, "step": 1860 }, { "entropy": 2.1420124895870685, "epoch": 5.976, "grad_norm": 15.25, "learning_rate": 1.806888888888889e-05, "loss": 2.0512, "mean_token_accuracy": 0.5624487655237317, "num_tokens": 18356946.0, "step": 1870 }, { "entropy": 2.110038713405007, "epoch": 6.0064, "grad_norm": 17.25, "learning_rate": 1.8046666666666668e-05, "loss": 2.0047, "mean_token_accuracy": 0.573460263641257, "num_tokens": 18449252.0, "step": 1880 }, { "entropy": 1.8439034026116132, "epoch": 6.0384, "grad_norm": 14.9375, "learning_rate": 1.8024444444444445e-05, "loss": 1.7534, "mean_token_accuracy": 0.607002929598093, "num_tokens": 18550959.0, "step": 1890 }, { "entropy": 1.9470315918326377, "epoch": 6.0704, "grad_norm": 14.75, "learning_rate": 1.8002222222222223e-05, "loss": 1.848, "mean_token_accuracy": 0.5916370095685124, "num_tokens": 18646263.0, "step": 1900 }, { "epoch": 6.0704, "eval_coding_entropy": 1.4729241604804992, "eval_coding_loss": 2.447042465209961, "eval_coding_mean_token_accuracy": 0.49919502437114716, "eval_coding_num_tokens": 18646263.0, "eval_coding_runtime": 78.8811, "eval_coding_samples_per_second": 6.339, "eval_coding_steps_per_second": 3.169, "step": 1900 }, { "epoch": 6.0704, "eval_biology_entropy": 1.9375120058059692, "eval_biology_loss": 2.524658203125, "eval_biology_mean_token_accuracy": 0.5277164667844773, "eval_biology_num_tokens": 18646263.0, "eval_biology_runtime": 34.5905, "eval_biology_samples_per_second": 14.455, "eval_biology_steps_per_second": 7.227, "step": 1900 }, { "entropy": 1.9363722302019597, "epoch": 6.1024, "grad_norm": 15.9375, "learning_rate": 1.798e-05, "loss": 1.8454, "mean_token_accuracy": 0.5952178355306387, "num_tokens": 18744274.0, "step": 1910 }, { "entropy": 1.9612058866769075, "epoch": 6.1344, "grad_norm": 16.125, "learning_rate": 1.7957777777777778e-05, "loss": 1.8713, "mean_token_accuracy": 0.5913926368579269, "num_tokens": 18831480.0, "step": 1920 }, { "entropy": 1.9057672590017318, "epoch": 6.1664, "grad_norm": 16.75, "learning_rate": 1.7935555555555556e-05, "loss": 1.8167, "mean_token_accuracy": 0.5998800182715058, "num_tokens": 18932857.0, "step": 1930 }, { "entropy": 1.857564640045166, "epoch": 6.1984, "grad_norm": 17.125, "learning_rate": 1.7913333333333337e-05, "loss": 1.7559, "mean_token_accuracy": 0.6085444940254092, "num_tokens": 19035806.0, "step": 1940 }, { "entropy": 1.839936225861311, "epoch": 6.2304, "grad_norm": 14.6875, "learning_rate": 1.789111111111111e-05, "loss": 1.7591, "mean_token_accuracy": 0.6074719944968819, "num_tokens": 19138641.0, "step": 1950 }, { "entropy": 1.9588794164359569, "epoch": 6.2624, "grad_norm": 17.125, "learning_rate": 1.7868888888888892e-05, "loss": 1.8805, "mean_token_accuracy": 0.59009426869452, "num_tokens": 19235701.0, "step": 1960 }, { "entropy": 1.9073541566729546, "epoch": 6.2943999999999996, "grad_norm": 18.5, "learning_rate": 1.7846666666666666e-05, "loss": 1.8107, "mean_token_accuracy": 0.5988917088136076, "num_tokens": 19334685.0, "step": 1970 }, { "entropy": 1.915497824549675, "epoch": 6.3264, "grad_norm": 17.625, "learning_rate": 1.7824444444444447e-05, "loss": 1.8412, "mean_token_accuracy": 0.5978883042931556, "num_tokens": 19430275.0, "step": 1980 }, { "entropy": 1.8486388459801675, "epoch": 6.3584, "grad_norm": 21.25, "learning_rate": 1.780222222222222e-05, "loss": 1.7726, "mean_token_accuracy": 0.6066146129742265, "num_tokens": 19525540.0, "step": 1990 }, { "entropy": 1.9017979100346565, "epoch": 6.3904, "grad_norm": 13.875, "learning_rate": 1.7780000000000003e-05, "loss": 1.7975, "mean_token_accuracy": 0.5972068969160318, "num_tokens": 19626609.0, "step": 2000 }, { "epoch": 6.3904, "eval_coding_entropy": 1.4967151761054993, "eval_coding_loss": 2.457455635070801, "eval_coding_mean_token_accuracy": 0.4975039474964142, "eval_coding_num_tokens": 19626609.0, "eval_coding_runtime": 78.947, "eval_coding_samples_per_second": 6.333, "eval_coding_steps_per_second": 3.167, "step": 2000 }, { "epoch": 6.3904, "eval_biology_entropy": 1.9981313619613648, "eval_biology_loss": 2.497177839279175, "eval_biology_mean_token_accuracy": 0.5299569643735885, "eval_biology_num_tokens": 19626609.0, "eval_biology_runtime": 34.5154, "eval_biology_samples_per_second": 14.486, "eval_biology_steps_per_second": 7.243, "step": 2000 } ], "logging_steps": 10, "max_steps": 10000, "num_input_tokens_seen": 0, "num_train_epochs": 32, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.3069778923930337e+18, "train_batch_size": 2, "trial_name": null, "trial_params": null }