|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.25915127955944284, |
|
"eval_steps": 10, |
|
"global_step": 100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0025915127955944283, |
|
"grad_norm": 12.625, |
|
"learning_rate": 4.0000000000000003e-07, |
|
"loss": 1.7977, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0051830255911888565, |
|
"grad_norm": 12.0625, |
|
"learning_rate": 8.000000000000001e-07, |
|
"loss": 1.7787, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.007774538386783284, |
|
"grad_norm": 13.0, |
|
"learning_rate": 1.2000000000000002e-06, |
|
"loss": 1.8003, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.010366051182377713, |
|
"grad_norm": 12.5625, |
|
"learning_rate": 1.6000000000000001e-06, |
|
"loss": 1.787, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.01295756397797214, |
|
"grad_norm": 12.25, |
|
"learning_rate": 2.0000000000000003e-06, |
|
"loss": 1.7684, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.015549076773566569, |
|
"grad_norm": 12.625, |
|
"learning_rate": 2.4000000000000003e-06, |
|
"loss": 1.7544, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.018140589569160998, |
|
"grad_norm": 12.5, |
|
"learning_rate": 2.8000000000000003e-06, |
|
"loss": 1.7769, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.020732102364755426, |
|
"grad_norm": 11.4375, |
|
"learning_rate": 3.2000000000000003e-06, |
|
"loss": 1.7161, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.023323615160349854, |
|
"grad_norm": 11.5, |
|
"learning_rate": 3.6000000000000003e-06, |
|
"loss": 1.7165, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.02591512795594428, |
|
"grad_norm": 12.1875, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 1.7437, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.02591512795594428, |
|
"eval_loss": 1.7256978750228882, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.5814, |
|
"eval_samples_per_second": 105.893, |
|
"eval_steps_per_second": 13.262, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.02850664075153871, |
|
"grad_norm": 11.4375, |
|
"learning_rate": 4.4e-06, |
|
"loss": 1.7068, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.031098153547133137, |
|
"grad_norm": 11.75, |
|
"learning_rate": 4.800000000000001e-06, |
|
"loss": 1.688, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.03368966634272757, |
|
"grad_norm": 11.6875, |
|
"learning_rate": 5.2e-06, |
|
"loss": 1.6602, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.036281179138321996, |
|
"grad_norm": 11.5625, |
|
"learning_rate": 5.600000000000001e-06, |
|
"loss": 1.6389, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.038872691933916424, |
|
"grad_norm": 10.75, |
|
"learning_rate": 6e-06, |
|
"loss": 1.6228, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.04146420472951085, |
|
"grad_norm": 10.8125, |
|
"learning_rate": 6.4000000000000006e-06, |
|
"loss": 1.5823, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.04405571752510528, |
|
"grad_norm": 9.5625, |
|
"learning_rate": 6.800000000000001e-06, |
|
"loss": 1.5134, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.04664723032069971, |
|
"grad_norm": 9.125, |
|
"learning_rate": 7.2000000000000005e-06, |
|
"loss": 1.4833, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.049238743116294136, |
|
"grad_norm": 7.375, |
|
"learning_rate": 7.600000000000001e-06, |
|
"loss": 1.4966, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.05183025591188856, |
|
"grad_norm": 7.0, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 1.4653, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.05183025591188856, |
|
"eval_loss": 1.4041186571121216, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.6226, |
|
"eval_samples_per_second": 105.716, |
|
"eval_steps_per_second": 13.24, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.05442176870748299, |
|
"grad_norm": 6.0625, |
|
"learning_rate": 8.400000000000001e-06, |
|
"loss": 1.3844, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.05701328150307742, |
|
"grad_norm": 5.375, |
|
"learning_rate": 8.8e-06, |
|
"loss": 1.3735, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.05960479429867185, |
|
"grad_norm": 5.09375, |
|
"learning_rate": 9.200000000000002e-06, |
|
"loss": 1.3281, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.062196307094266275, |
|
"grad_norm": 5.25, |
|
"learning_rate": 9.600000000000001e-06, |
|
"loss": 1.2837, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.06478781988986071, |
|
"grad_norm": 5.25, |
|
"learning_rate": 1e-05, |
|
"loss": 1.2777, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.06737933268545514, |
|
"grad_norm": 5.03125, |
|
"learning_rate": 1.04e-05, |
|
"loss": 1.2465, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.06997084548104957, |
|
"grad_norm": 5.0625, |
|
"learning_rate": 1.0800000000000002e-05, |
|
"loss": 1.2041, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.07256235827664399, |
|
"grad_norm": 4.9375, |
|
"learning_rate": 1.1200000000000001e-05, |
|
"loss": 1.1524, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.07515387107223842, |
|
"grad_norm": 4.65625, |
|
"learning_rate": 1.16e-05, |
|
"loss": 1.1491, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.07774538386783285, |
|
"grad_norm": 5.125, |
|
"learning_rate": 1.2e-05, |
|
"loss": 1.127, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.07774538386783285, |
|
"eval_loss": 1.105301856994629, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.5195, |
|
"eval_samples_per_second": 106.161, |
|
"eval_steps_per_second": 13.296, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.08033689666342728, |
|
"grad_norm": 5.09375, |
|
"learning_rate": 1.2400000000000002e-05, |
|
"loss": 1.0993, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 0.0829284094590217, |
|
"grad_norm": 4.9375, |
|
"learning_rate": 1.2800000000000001e-05, |
|
"loss": 1.0637, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.08551992225461613, |
|
"grad_norm": 4.75, |
|
"learning_rate": 1.3200000000000002e-05, |
|
"loss": 1.0447, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.08811143505021056, |
|
"grad_norm": 5.21875, |
|
"learning_rate": 1.3600000000000002e-05, |
|
"loss": 1.047, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.09070294784580499, |
|
"grad_norm": 4.9375, |
|
"learning_rate": 1.4e-05, |
|
"loss": 0.9841, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.09329446064139942, |
|
"grad_norm": 4.90625, |
|
"learning_rate": 1.4400000000000001e-05, |
|
"loss": 0.9735, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.09588597343699384, |
|
"grad_norm": 5.71875, |
|
"learning_rate": 1.48e-05, |
|
"loss": 0.9409, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 0.09847748623258827, |
|
"grad_norm": 5.0625, |
|
"learning_rate": 1.5200000000000002e-05, |
|
"loss": 0.9108, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 0.1010689990281827, |
|
"grad_norm": 4.90625, |
|
"learning_rate": 1.5600000000000003e-05, |
|
"loss": 0.9029, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.10366051182377713, |
|
"grad_norm": 5.0625, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.8938, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.10366051182377713, |
|
"eval_loss": 0.8692858815193176, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.5016, |
|
"eval_samples_per_second": 106.238, |
|
"eval_steps_per_second": 13.305, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.10625202461937155, |
|
"grad_norm": 5.125, |
|
"learning_rate": 1.64e-05, |
|
"loss": 0.8501, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 0.10884353741496598, |
|
"grad_norm": 4.53125, |
|
"learning_rate": 1.6800000000000002e-05, |
|
"loss": 0.8545, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.11143505021056041, |
|
"grad_norm": 5.1875, |
|
"learning_rate": 1.72e-05, |
|
"loss": 0.8169, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 0.11402656300615484, |
|
"grad_norm": 4.5, |
|
"learning_rate": 1.76e-05, |
|
"loss": 0.8102, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.11661807580174927, |
|
"grad_norm": 4.3125, |
|
"learning_rate": 1.8e-05, |
|
"loss": 0.8093, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.1192095885973437, |
|
"grad_norm": 4.28125, |
|
"learning_rate": 1.8400000000000003e-05, |
|
"loss": 0.7798, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 0.12180110139293812, |
|
"grad_norm": 4.09375, |
|
"learning_rate": 1.88e-05, |
|
"loss": 0.7761, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 0.12439261418853255, |
|
"grad_norm": 4.125, |
|
"learning_rate": 1.9200000000000003e-05, |
|
"loss": 0.7647, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.12698412698412698, |
|
"grad_norm": 3.765625, |
|
"learning_rate": 1.9600000000000002e-05, |
|
"loss": 0.7612, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.12957563977972142, |
|
"grad_norm": 4.0, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7498, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.12957563977972142, |
|
"eval_loss": 0.744697093963623, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.6181, |
|
"eval_samples_per_second": 105.735, |
|
"eval_steps_per_second": 13.242, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.13216715257531583, |
|
"grad_norm": 4.5, |
|
"learning_rate": 1.9999560279257315e-05, |
|
"loss": 0.7504, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.13475866537091027, |
|
"grad_norm": 3.796875, |
|
"learning_rate": 1.999824115570012e-05, |
|
"loss": 0.7181, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 0.1373501781665047, |
|
"grad_norm": 3.703125, |
|
"learning_rate": 1.9996042745337617e-05, |
|
"loss": 0.7195, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 0.13994169096209913, |
|
"grad_norm": 3.921875, |
|
"learning_rate": 1.999296524150713e-05, |
|
"loss": 0.7232, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.14253320375769354, |
|
"grad_norm": 3.6875, |
|
"learning_rate": 1.9989008914857115e-05, |
|
"loss": 0.725, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.14512471655328799, |
|
"grad_norm": 3.734375, |
|
"learning_rate": 1.9984174113323352e-05, |
|
"loss": 0.6972, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 0.1477162293488824, |
|
"grad_norm": 3.5, |
|
"learning_rate": 1.9978461262098342e-05, |
|
"loss": 0.6792, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.15030774214447684, |
|
"grad_norm": 4.0625, |
|
"learning_rate": 1.9971870863593924e-05, |
|
"loss": 0.7192, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 0.15289925494007126, |
|
"grad_norm": 3.75, |
|
"learning_rate": 1.9964403497397086e-05, |
|
"loss": 0.7107, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 0.1554907677356657, |
|
"grad_norm": 3.953125, |
|
"learning_rate": 1.9956059820218982e-05, |
|
"loss": 0.6866, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.1554907677356657, |
|
"eval_loss": 0.6849498152732849, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.5203, |
|
"eval_samples_per_second": 106.157, |
|
"eval_steps_per_second": 13.295, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.1580822805312601, |
|
"grad_norm": 3.953125, |
|
"learning_rate": 1.9946840565837206e-05, |
|
"loss": 0.6818, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 0.16067379332685455, |
|
"grad_norm": 3.546875, |
|
"learning_rate": 1.9936746545031225e-05, |
|
"loss": 0.6855, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 0.16326530612244897, |
|
"grad_norm": 3.359375, |
|
"learning_rate": 1.9925778645511112e-05, |
|
"loss": 0.6799, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.1658568189180434, |
|
"grad_norm": 3.828125, |
|
"learning_rate": 1.991393783183945e-05, |
|
"loss": 0.6719, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 0.16844833171363785, |
|
"grad_norm": 3.0, |
|
"learning_rate": 1.990122514534651e-05, |
|
"loss": 0.66, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.17103984450923226, |
|
"grad_norm": 2.96875, |
|
"learning_rate": 1.988764170403869e-05, |
|
"loss": 0.6718, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 0.1736313573048267, |
|
"grad_norm": 3.15625, |
|
"learning_rate": 1.9873188702500163e-05, |
|
"loss": 0.6661, |
|
"step": 67 |
|
}, |
|
{ |
|
"epoch": 0.17622287010042112, |
|
"grad_norm": 2.828125, |
|
"learning_rate": 1.9857867411787847e-05, |
|
"loss": 0.6523, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 0.17881438289601556, |
|
"grad_norm": 3.203125, |
|
"learning_rate": 1.9841679179319605e-05, |
|
"loss": 0.6494, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 0.18140589569160998, |
|
"grad_norm": 2.875, |
|
"learning_rate": 1.982462542875576e-05, |
|
"loss": 0.6411, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.18140589569160998, |
|
"eval_loss": 0.6511064171791077, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.5304, |
|
"eval_samples_per_second": 106.113, |
|
"eval_steps_per_second": 13.29, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.18399740848720442, |
|
"grad_norm": 3.296875, |
|
"learning_rate": 1.9806707659873886e-05, |
|
"loss": 0.6463, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 0.18658892128279883, |
|
"grad_norm": 3.0625, |
|
"learning_rate": 1.9787927448436913e-05, |
|
"loss": 0.6375, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.18918043407839327, |
|
"grad_norm": 2.75, |
|
"learning_rate": 1.9768286446054533e-05, |
|
"loss": 0.6386, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 0.1917719468739877, |
|
"grad_norm": 2.875, |
|
"learning_rate": 1.974778638003799e-05, |
|
"loss": 0.6368, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 0.19436345966958213, |
|
"grad_norm": 2.953125, |
|
"learning_rate": 1.972642905324813e-05, |
|
"loss": 0.6271, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.19695497246517654, |
|
"grad_norm": 2.921875, |
|
"learning_rate": 1.9704216343936875e-05, |
|
"loss": 0.6501, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 0.19954648526077098, |
|
"grad_norm": 3.015625, |
|
"learning_rate": 1.9681150205582025e-05, |
|
"loss": 0.6111, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 0.2021379980563654, |
|
"grad_norm": 3.171875, |
|
"learning_rate": 1.9657232666715485e-05, |
|
"loss": 0.651, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.20472951085195984, |
|
"grad_norm": 3.0625, |
|
"learning_rate": 1.9632465830744846e-05, |
|
"loss": 0.6184, |
|
"step": 79 |
|
}, |
|
{ |
|
"epoch": 0.20732102364755425, |
|
"grad_norm": 3.25, |
|
"learning_rate": 1.9606851875768404e-05, |
|
"loss": 0.6259, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.20732102364755425, |
|
"eval_loss": 0.6278263330459595, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.4892, |
|
"eval_samples_per_second": 106.292, |
|
"eval_steps_per_second": 13.312, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.2099125364431487, |
|
"grad_norm": 2.875, |
|
"learning_rate": 1.9580393054383622e-05, |
|
"loss": 0.6288, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.2125040492387431, |
|
"grad_norm": 3.359375, |
|
"learning_rate": 1.9553091693489018e-05, |
|
"loss": 0.6403, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 0.21509556203433755, |
|
"grad_norm": 2.921875, |
|
"learning_rate": 1.9524950194079534e-05, |
|
"loss": 0.621, |
|
"step": 83 |
|
}, |
|
{ |
|
"epoch": 0.21768707482993196, |
|
"grad_norm": 2.84375, |
|
"learning_rate": 1.9495971031035367e-05, |
|
"loss": 0.6135, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.2202785876255264, |
|
"grad_norm": 2.921875, |
|
"learning_rate": 1.9466156752904344e-05, |
|
"loss": 0.6211, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.22287010042112082, |
|
"grad_norm": 3.109375, |
|
"learning_rate": 1.9435509981677764e-05, |
|
"loss": 0.6198, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 0.22546161321671526, |
|
"grad_norm": 2.625, |
|
"learning_rate": 1.9404033412559828e-05, |
|
"loss": 0.5972, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 0.22805312601230968, |
|
"grad_norm": 3.0, |
|
"learning_rate": 1.9371729813730606e-05, |
|
"loss": 0.614, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 0.23064463880790412, |
|
"grad_norm": 2.75, |
|
"learning_rate": 1.9338602026102594e-05, |
|
"loss": 0.5998, |
|
"step": 89 |
|
}, |
|
{ |
|
"epoch": 0.23323615160349853, |
|
"grad_norm": 2.796875, |
|
"learning_rate": 1.9304652963070868e-05, |
|
"loss": 0.6181, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.23323615160349853, |
|
"eval_loss": 0.6108965277671814, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.4982, |
|
"eval_samples_per_second": 106.253, |
|
"eval_steps_per_second": 13.307, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.23582766439909297, |
|
"grad_norm": 2.8125, |
|
"learning_rate": 1.9269885610256866e-05, |
|
"loss": 0.6059, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 0.2384191771946874, |
|
"grad_norm": 2.734375, |
|
"learning_rate": 1.9234303025245835e-05, |
|
"loss": 0.6165, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 0.24101068999028183, |
|
"grad_norm": 2.984375, |
|
"learning_rate": 1.919790833731791e-05, |
|
"loss": 0.6241, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 0.24360220278587624, |
|
"grad_norm": 3.015625, |
|
"learning_rate": 1.9160704747172935e-05, |
|
"loss": 0.5913, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 0.24619371558147068, |
|
"grad_norm": 2.84375, |
|
"learning_rate": 1.9122695526648968e-05, |
|
"loss": 0.585, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 0.2487852283770651, |
|
"grad_norm": 3.484375, |
|
"learning_rate": 1.9083884018434545e-05, |
|
"loss": 0.5897, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 0.2513767411726595, |
|
"grad_norm": 2.84375, |
|
"learning_rate": 1.9044273635774707e-05, |
|
"loss": 0.6032, |
|
"step": 97 |
|
}, |
|
{ |
|
"epoch": 0.25396825396825395, |
|
"grad_norm": 2.75, |
|
"learning_rate": 1.900386786217083e-05, |
|
"loss": 0.594, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 0.2565597667638484, |
|
"grad_norm": 2.8125, |
|
"learning_rate": 1.8962670251074276e-05, |
|
"loss": 0.5958, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 0.25915127955944284, |
|
"grad_norm": 2.65625, |
|
"learning_rate": 1.8920684425573865e-05, |
|
"loss": 0.5821, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.25915127955944284, |
|
"eval_loss": 0.5988509058952332, |
|
"eval_model_preparation_time": 0.0003, |
|
"eval_runtime": 24.4884, |
|
"eval_samples_per_second": 106.295, |
|
"eval_steps_per_second": 13.312, |
|
"step": 100 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 385, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 100, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 2.7825750933504e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|