diff --git "a/llava-v1.6-13b-unk-vqa-v1.0/checkpoint-1000/trainer_state.json" "b/llava-v1.6-13b-unk-vqa-v1.0/checkpoint-1000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/llava-v1.6-13b-unk-vqa-v1.0/checkpoint-1000/trainer_state.json" @@ -0,0 +1,6021 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.9230769230769231, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 6.25e-07, + "loss": 3.1205, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.25e-06, + "loss": 3.2041, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.8750000000000003e-06, + "loss": 3.0942, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 2.5e-06, + "loss": 3.1416, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 3.125e-06, + "loss": 3.0353, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 3.7500000000000005e-06, + "loss": 2.4541, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 4.3750000000000005e-06, + "loss": 1.2905, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 5e-06, + "loss": 0.9696, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 5.625e-06, + "loss": 0.6378, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 6.25e-06, + "loss": 0.4545, + "step": 10 + }, + { + "epoch": 0.02, + "learning_rate": 6.875e-06, + "loss": 0.4719, + "step": 11 + }, + { + "epoch": 0.02, + "learning_rate": 7.500000000000001e-06, + "loss": 0.4088, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 8.125000000000001e-06, + "loss": 0.3443, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 8.750000000000001e-06, + "loss": 0.3182, + "step": 14 + }, + { + "epoch": 0.03, + "learning_rate": 9.375000000000001e-06, + "loss": 0.2585, + "step": 15 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 0.3624, + "step": 16 + }, + { + "epoch": 0.03, + "learning_rate": 1.0625e-05, + "loss": 0.3333, + "step": 17 + }, + { + "epoch": 0.03, + "learning_rate": 1.125e-05, + "loss": 0.3265, + "step": 18 + }, + { + "epoch": 0.04, + "learning_rate": 1.1875e-05, + "loss": 0.38, + "step": 19 + }, + { + "epoch": 0.04, + "learning_rate": 1.25e-05, + "loss": 0.253, + "step": 20 + }, + { + "epoch": 0.04, + "learning_rate": 1.3125e-05, + "loss": 0.3657, + "step": 21 + }, + { + "epoch": 0.04, + "learning_rate": 1.375e-05, + "loss": 0.309, + "step": 22 + }, + { + "epoch": 0.04, + "learning_rate": 1.4375e-05, + "loss": 0.2855, + "step": 23 + }, + { + "epoch": 0.05, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.2678, + "step": 24 + }, + { + "epoch": 0.05, + "learning_rate": 1.5625e-05, + "loss": 0.3087, + "step": 25 + }, + { + "epoch": 0.05, + "learning_rate": 1.6250000000000002e-05, + "loss": 0.2798, + "step": 26 + }, + { + "epoch": 0.05, + "learning_rate": 1.6875e-05, + "loss": 0.3017, + "step": 27 + }, + { + "epoch": 0.05, + "learning_rate": 1.7500000000000002e-05, + "loss": 0.2998, + "step": 28 + }, + { + "epoch": 0.06, + "learning_rate": 1.8125e-05, + "loss": 0.2728, + "step": 29 + }, + { + "epoch": 0.06, + "learning_rate": 1.8750000000000002e-05, + "loss": 0.3714, + "step": 30 + }, + { + "epoch": 0.06, + "learning_rate": 1.9375e-05, + "loss": 0.354, + "step": 31 + }, + { + "epoch": 0.06, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 32 + }, + { + "epoch": 0.06, + "learning_rate": 1.9999951432210905e-05, + "loss": 0.275, + "step": 33 + }, + { + "epoch": 0.07, + "learning_rate": 1.9999805729315383e-05, + "loss": 0.3081, + "step": 34 + }, + { + "epoch": 0.07, + "learning_rate": 1.999956289272873e-05, + "loss": 0.3132, + "step": 35 + }, + { + "epoch": 0.07, + "learning_rate": 1.999922292480975e-05, + "loss": 0.2784, + "step": 36 + }, + { + "epoch": 0.07, + "learning_rate": 1.9998785828860744e-05, + "loss": 0.2323, + "step": 37 + }, + { + "epoch": 0.07, + "learning_rate": 1.9998251609127465e-05, + "loss": 0.276, + "step": 38 + }, + { + "epoch": 0.07, + "learning_rate": 1.999762027079909e-05, + "loss": 0.3328, + "step": 39 + }, + { + "epoch": 0.08, + "learning_rate": 1.9996891820008165e-05, + "loss": 0.3719, + "step": 40 + }, + { + "epoch": 0.08, + "learning_rate": 1.9996066263830533e-05, + "loss": 0.3319, + "step": 41 + }, + { + "epoch": 0.08, + "learning_rate": 1.9995143610285275e-05, + "loss": 0.2987, + "step": 42 + }, + { + "epoch": 0.08, + "learning_rate": 1.9994123868334655e-05, + "loss": 0.3052, + "step": 43 + }, + { + "epoch": 0.08, + "learning_rate": 1.9993007047883988e-05, + "loss": 0.2432, + "step": 44 + }, + { + "epoch": 0.09, + "learning_rate": 1.999179315978157e-05, + "loss": 0.3362, + "step": 45 + }, + { + "epoch": 0.09, + "learning_rate": 1.999048221581858e-05, + "loss": 0.283, + "step": 46 + }, + { + "epoch": 0.09, + "learning_rate": 1.9989074228728942e-05, + "loss": 0.2764, + "step": 47 + }, + { + "epoch": 0.09, + "learning_rate": 1.9987569212189224e-05, + "loss": 0.2523, + "step": 48 + }, + { + "epoch": 0.09, + "learning_rate": 1.9985967180818493e-05, + "loss": 0.2617, + "step": 49 + }, + { + "epoch": 0.1, + "learning_rate": 1.998426815017817e-05, + "loss": 0.3292, + "step": 50 + }, + { + "epoch": 0.1, + "learning_rate": 1.998247213677188e-05, + "loss": 0.3109, + "step": 51 + }, + { + "epoch": 0.1, + "learning_rate": 1.9980579158045322e-05, + "loss": 0.262, + "step": 52 + }, + { + "epoch": 0.1, + "learning_rate": 1.9978589232386036e-05, + "loss": 0.3014, + "step": 53 + }, + { + "epoch": 0.1, + "learning_rate": 1.997650237912329e-05, + "loss": 0.2481, + "step": 54 + }, + { + "epoch": 0.11, + "learning_rate": 1.997431861852785e-05, + "loss": 0.2872, + "step": 55 + }, + { + "epoch": 0.11, + "learning_rate": 1.9972037971811802e-05, + "loss": 0.3319, + "step": 56 + }, + { + "epoch": 0.11, + "learning_rate": 1.996966046112834e-05, + "loss": 0.2787, + "step": 57 + }, + { + "epoch": 0.11, + "learning_rate": 1.996718610957155e-05, + "loss": 0.3093, + "step": 58 + }, + { + "epoch": 0.11, + "learning_rate": 1.9964614941176194e-05, + "loss": 0.2548, + "step": 59 + }, + { + "epoch": 0.12, + "learning_rate": 1.9961946980917457e-05, + "loss": 0.3733, + "step": 60 + }, + { + "epoch": 0.12, + "learning_rate": 1.995918225471073e-05, + "loss": 0.294, + "step": 61 + }, + { + "epoch": 0.12, + "learning_rate": 1.9956320789411338e-05, + "loss": 0.2942, + "step": 62 + }, + { + "epoch": 0.12, + "learning_rate": 1.9953362612814294e-05, + "loss": 0.2796, + "step": 63 + }, + { + "epoch": 0.12, + "learning_rate": 1.9950307753654016e-05, + "loss": 0.2941, + "step": 64 + }, + { + "epoch": 0.12, + "learning_rate": 1.994715624160405e-05, + "loss": 0.3374, + "step": 65 + }, + { + "epoch": 0.13, + "learning_rate": 1.99439081072768e-05, + "loss": 0.2752, + "step": 66 + }, + { + "epoch": 0.13, + "learning_rate": 1.9940563382223196e-05, + "loss": 0.3242, + "step": 67 + }, + { + "epoch": 0.13, + "learning_rate": 1.9937122098932428e-05, + "loss": 0.306, + "step": 68 + }, + { + "epoch": 0.13, + "learning_rate": 1.9933584290831593e-05, + "loss": 0.3409, + "step": 69 + }, + { + "epoch": 0.13, + "learning_rate": 1.9929949992285397e-05, + "loss": 0.26, + "step": 70 + }, + { + "epoch": 0.14, + "learning_rate": 1.992621923859581e-05, + "loss": 1.007, + "step": 71 + }, + { + "epoch": 0.14, + "learning_rate": 1.9922392066001724e-05, + "loss": 0.2694, + "step": 72 + }, + { + "epoch": 0.14, + "learning_rate": 1.99184685116786e-05, + "loss": 0.2936, + "step": 73 + }, + { + "epoch": 0.14, + "learning_rate": 1.9914448613738107e-05, + "loss": 0.3006, + "step": 74 + }, + { + "epoch": 0.14, + "learning_rate": 1.991033241122776e-05, + "loss": 0.3055, + "step": 75 + }, + { + "epoch": 0.15, + "learning_rate": 1.9906119944130527e-05, + "loss": 0.3066, + "step": 76 + }, + { + "epoch": 0.15, + "learning_rate": 1.9901811253364458e-05, + "loss": 0.3078, + "step": 77 + }, + { + "epoch": 0.15, + "learning_rate": 1.9897406380782262e-05, + "loss": 0.2577, + "step": 78 + }, + { + "epoch": 0.15, + "learning_rate": 1.989290536917093e-05, + "loss": 0.3208, + "step": 79 + }, + { + "epoch": 0.15, + "learning_rate": 1.9888308262251286e-05, + "loss": 0.2781, + "step": 80 + }, + { + "epoch": 0.16, + "learning_rate": 1.988361510467761e-05, + "loss": 0.2654, + "step": 81 + }, + { + "epoch": 0.16, + "learning_rate": 1.9878825942037147e-05, + "loss": 0.2726, + "step": 82 + }, + { + "epoch": 0.16, + "learning_rate": 1.9873940820849714e-05, + "loss": 0.3371, + "step": 83 + }, + { + "epoch": 0.16, + "learning_rate": 1.9868959788567213e-05, + "loss": 0.3278, + "step": 84 + }, + { + "epoch": 0.16, + "learning_rate": 1.9863882893573188e-05, + "loss": 0.3134, + "step": 85 + }, + { + "epoch": 0.17, + "learning_rate": 1.985871018518236e-05, + "loss": 0.3313, + "step": 86 + }, + { + "epoch": 0.17, + "learning_rate": 1.9853441713640123e-05, + "loss": 0.3215, + "step": 87 + }, + { + "epoch": 0.17, + "learning_rate": 1.9848077530122083e-05, + "loss": 0.3173, + "step": 88 + }, + { + "epoch": 0.17, + "learning_rate": 1.9842617686733546e-05, + "loss": 0.2663, + "step": 89 + }, + { + "epoch": 0.17, + "learning_rate": 1.9837062236509013e-05, + "loss": 0.2583, + "step": 90 + }, + { + "epoch": 0.17, + "learning_rate": 1.983141123341168e-05, + "loss": 0.3422, + "step": 91 + }, + { + "epoch": 0.18, + "learning_rate": 1.9825664732332886e-05, + "loss": 0.2444, + "step": 92 + }, + { + "epoch": 0.18, + "learning_rate": 1.9819822789091597e-05, + "loss": 0.2466, + "step": 93 + }, + { + "epoch": 0.18, + "learning_rate": 1.981388546043388e-05, + "loss": 0.306, + "step": 94 + }, + { + "epoch": 0.18, + "learning_rate": 1.9807852804032306e-05, + "loss": 0.3069, + "step": 95 + }, + { + "epoch": 0.18, + "learning_rate": 1.9801724878485438e-05, + "loss": 0.3436, + "step": 96 + }, + { + "epoch": 0.19, + "learning_rate": 1.979550174331724e-05, + "loss": 0.251, + "step": 97 + }, + { + "epoch": 0.19, + "learning_rate": 1.9789183458976485e-05, + "loss": 0.249, + "step": 98 + }, + { + "epoch": 0.19, + "learning_rate": 1.97827700868362e-05, + "loss": 0.3166, + "step": 99 + }, + { + "epoch": 0.19, + "learning_rate": 1.977626168919305e-05, + "loss": 0.2768, + "step": 100 + }, + { + "epoch": 0.19, + "learning_rate": 1.9769658329266718e-05, + "loss": 0.3419, + "step": 101 + }, + { + "epoch": 0.2, + "learning_rate": 1.9762960071199334e-05, + "loss": 0.2657, + "step": 102 + }, + { + "epoch": 0.2, + "learning_rate": 1.9756166980054812e-05, + "loss": 0.2507, + "step": 103 + }, + { + "epoch": 0.2, + "learning_rate": 1.9749279121818235e-05, + "loss": 0.3192, + "step": 104 + }, + { + "epoch": 0.2, + "learning_rate": 1.9742296563395218e-05, + "loss": 0.2493, + "step": 105 + }, + { + "epoch": 0.2, + "learning_rate": 1.9735219372611232e-05, + "loss": 0.3267, + "step": 106 + }, + { + "epoch": 0.21, + "learning_rate": 1.9728047618210995e-05, + "loss": 0.3166, + "step": 107 + }, + { + "epoch": 0.21, + "learning_rate": 1.9720781369857747e-05, + "loss": 0.3536, + "step": 108 + }, + { + "epoch": 0.21, + "learning_rate": 1.9713420698132614e-05, + "loss": 0.2781, + "step": 109 + }, + { + "epoch": 0.21, + "learning_rate": 1.970596567453391e-05, + "loss": 0.2651, + "step": 110 + }, + { + "epoch": 0.21, + "learning_rate": 1.9698416371476434e-05, + "loss": 0.3015, + "step": 111 + }, + { + "epoch": 0.22, + "learning_rate": 1.969077286229078e-05, + "loss": 0.2732, + "step": 112 + }, + { + "epoch": 0.22, + "learning_rate": 1.9683035221222617e-05, + "loss": 0.3363, + "step": 113 + }, + { + "epoch": 0.22, + "learning_rate": 1.9675203523431964e-05, + "loss": 0.3117, + "step": 114 + }, + { + "epoch": 0.22, + "learning_rate": 1.9667277844992476e-05, + "loss": 0.2747, + "step": 115 + }, + { + "epoch": 0.22, + "learning_rate": 1.9659258262890683e-05, + "loss": 0.2725, + "step": 116 + }, + { + "epoch": 0.23, + "learning_rate": 1.9651144855025265e-05, + "loss": 0.2411, + "step": 117 + }, + { + "epoch": 0.23, + "learning_rate": 1.964293770020628e-05, + "loss": 0.3084, + "step": 118 + }, + { + "epoch": 0.23, + "learning_rate": 1.9634636878154393e-05, + "loss": 0.3256, + "step": 119 + }, + { + "epoch": 0.23, + "learning_rate": 1.962624246950012e-05, + "loss": 0.2898, + "step": 120 + }, + { + "epoch": 0.23, + "learning_rate": 1.9617754555783045e-05, + "loss": 0.2852, + "step": 121 + }, + { + "epoch": 0.23, + "learning_rate": 1.9609173219450998e-05, + "loss": 0.2666, + "step": 122 + }, + { + "epoch": 0.24, + "learning_rate": 1.960049854385929e-05, + "loss": 0.3299, + "step": 123 + }, + { + "epoch": 0.24, + "learning_rate": 1.9591730613269878e-05, + "loss": 0.3056, + "step": 124 + }, + { + "epoch": 0.24, + "learning_rate": 1.9582869512850576e-05, + "loss": 0.2957, + "step": 125 + }, + { + "epoch": 0.24, + "learning_rate": 1.957391532867418e-05, + "loss": 0.3051, + "step": 126 + }, + { + "epoch": 0.24, + "learning_rate": 1.956486814771769e-05, + "loss": 0.28, + "step": 127 + }, + { + "epoch": 0.25, + "learning_rate": 1.955572805786141e-05, + "loss": 0.2352, + "step": 128 + }, + { + "epoch": 0.25, + "learning_rate": 1.9546495147888134e-05, + "loss": 0.3698, + "step": 129 + }, + { + "epoch": 0.25, + "learning_rate": 1.953716950748227e-05, + "loss": 0.2826, + "step": 130 + }, + { + "epoch": 0.25, + "learning_rate": 1.9527751227228964e-05, + "loss": 0.2779, + "step": 131 + }, + { + "epoch": 0.25, + "learning_rate": 1.9518240398613226e-05, + "loss": 0.2996, + "step": 132 + }, + { + "epoch": 0.26, + "learning_rate": 1.9508637114019037e-05, + "loss": 0.3028, + "step": 133 + }, + { + "epoch": 0.26, + "learning_rate": 1.9498941466728462e-05, + "loss": 0.2569, + "step": 134 + }, + { + "epoch": 0.26, + "learning_rate": 1.9489153550920726e-05, + "loss": 0.3437, + "step": 135 + }, + { + "epoch": 0.26, + "learning_rate": 1.947927346167132e-05, + "loss": 0.2831, + "step": 136 + }, + { + "epoch": 0.26, + "learning_rate": 1.946930129495106e-05, + "loss": 0.2383, + "step": 137 + }, + { + "epoch": 0.27, + "learning_rate": 1.945923714762516e-05, + "loss": 0.3219, + "step": 138 + }, + { + "epoch": 0.27, + "learning_rate": 1.9449081117452304e-05, + "loss": 0.2474, + "step": 139 + }, + { + "epoch": 0.27, + "learning_rate": 1.9438833303083677e-05, + "loss": 0.2878, + "step": 140 + }, + { + "epoch": 0.27, + "learning_rate": 1.9428493804062013e-05, + "loss": 0.3193, + "step": 141 + }, + { + "epoch": 0.27, + "learning_rate": 1.9418062720820636e-05, + "loss": 0.2517, + "step": 142 + }, + { + "epoch": 0.28, + "learning_rate": 1.9407540154682473e-05, + "loss": 0.2633, + "step": 143 + }, + { + "epoch": 0.28, + "learning_rate": 1.9396926207859085e-05, + "loss": 0.3241, + "step": 144 + }, + { + "epoch": 0.28, + "learning_rate": 1.9386220983449652e-05, + "loss": 0.2682, + "step": 145 + }, + { + "epoch": 0.28, + "learning_rate": 1.9375424585439994e-05, + "loss": 0.2289, + "step": 146 + }, + { + "epoch": 0.28, + "learning_rate": 1.9364537118701542e-05, + "loss": 0.2688, + "step": 147 + }, + { + "epoch": 0.28, + "learning_rate": 1.935355868899034e-05, + "loss": 0.3555, + "step": 148 + }, + { + "epoch": 0.29, + "learning_rate": 1.9342489402945997e-05, + "loss": 0.2492, + "step": 149 + }, + { + "epoch": 0.29, + "learning_rate": 1.9331329368090664e-05, + "loss": 0.2575, + "step": 150 + }, + { + "epoch": 0.29, + "learning_rate": 1.932007869282799e-05, + "loss": 0.3059, + "step": 151 + }, + { + "epoch": 0.29, + "learning_rate": 1.9308737486442045e-05, + "loss": 0.2851, + "step": 152 + }, + { + "epoch": 0.29, + "learning_rate": 1.9297305859096305e-05, + "loss": 0.2762, + "step": 153 + }, + { + "epoch": 0.3, + "learning_rate": 1.9285783921832537e-05, + "loss": 0.2746, + "step": 154 + }, + { + "epoch": 0.3, + "learning_rate": 1.927417178656975e-05, + "loss": 0.2788, + "step": 155 + }, + { + "epoch": 0.3, + "learning_rate": 1.926246956610309e-05, + "loss": 0.3524, + "step": 156 + }, + { + "epoch": 0.3, + "learning_rate": 1.9250677374102752e-05, + "loss": 0.2743, + "step": 157 + }, + { + "epoch": 0.3, + "learning_rate": 1.9238795325112867e-05, + "loss": 0.3199, + "step": 158 + }, + { + "epoch": 0.31, + "learning_rate": 1.9226823534550418e-05, + "loss": 0.3208, + "step": 159 + }, + { + "epoch": 0.31, + "learning_rate": 1.921476211870408e-05, + "loss": 0.3132, + "step": 160 + }, + { + "epoch": 0.31, + "learning_rate": 1.9202611194733107e-05, + "loss": 0.3034, + "step": 161 + }, + { + "epoch": 0.31, + "learning_rate": 1.9190370880666206e-05, + "loss": 0.2826, + "step": 162 + }, + { + "epoch": 0.31, + "learning_rate": 1.9178041295400383e-05, + "loss": 0.308, + "step": 163 + }, + { + "epoch": 0.32, + "learning_rate": 1.9165622558699763e-05, + "loss": 0.2221, + "step": 164 + }, + { + "epoch": 0.32, + "learning_rate": 1.9153114791194475e-05, + "loss": 0.2341, + "step": 165 + }, + { + "epoch": 0.32, + "learning_rate": 1.9140518114379433e-05, + "loss": 0.2754, + "step": 166 + }, + { + "epoch": 0.32, + "learning_rate": 1.912783265061319e-05, + "loss": 0.3542, + "step": 167 + }, + { + "epoch": 0.32, + "learning_rate": 1.9115058523116734e-05, + "loss": 0.2733, + "step": 168 + }, + { + "epoch": 0.33, + "learning_rate": 1.9102195855972287e-05, + "loss": 0.2774, + "step": 169 + }, + { + "epoch": 0.33, + "learning_rate": 1.908924477412211e-05, + "loss": 0.2869, + "step": 170 + }, + { + "epoch": 0.33, + "learning_rate": 1.9076205403367287e-05, + "loss": 0.2277, + "step": 171 + }, + { + "epoch": 0.33, + "learning_rate": 1.9063077870366504e-05, + "loss": 0.2445, + "step": 172 + }, + { + "epoch": 0.33, + "learning_rate": 1.90498623026348e-05, + "loss": 0.3144, + "step": 173 + }, + { + "epoch": 0.33, + "learning_rate": 1.903655882854237e-05, + "loss": 0.2575, + "step": 174 + }, + { + "epoch": 0.34, + "learning_rate": 1.9023167577313267e-05, + "loss": 0.3029, + "step": 175 + }, + { + "epoch": 0.34, + "learning_rate": 1.900968867902419e-05, + "loss": 0.2996, + "step": 176 + }, + { + "epoch": 0.34, + "learning_rate": 1.8996122264603202e-05, + "loss": 0.2593, + "step": 177 + }, + { + "epoch": 0.34, + "learning_rate": 1.898246846582844e-05, + "loss": 0.2958, + "step": 178 + }, + { + "epoch": 0.34, + "learning_rate": 1.8968727415326885e-05, + "loss": 0.3741, + "step": 179 + }, + { + "epoch": 0.35, + "learning_rate": 1.895489924657301e-05, + "loss": 0.3453, + "step": 180 + }, + { + "epoch": 0.35, + "learning_rate": 1.894098409388754e-05, + "loss": 0.3498, + "step": 181 + }, + { + "epoch": 0.35, + "learning_rate": 1.8926982092436117e-05, + "loss": 0.2838, + "step": 182 + }, + { + "epoch": 0.35, + "learning_rate": 1.8912893378227984e-05, + "loss": 0.2185, + "step": 183 + }, + { + "epoch": 0.35, + "learning_rate": 1.8898718088114688e-05, + "loss": 0.2758, + "step": 184 + }, + { + "epoch": 0.36, + "learning_rate": 1.8884456359788725e-05, + "loss": 0.2896, + "step": 185 + }, + { + "epoch": 0.36, + "learning_rate": 1.887010833178222e-05, + "loss": 0.2704, + "step": 186 + }, + { + "epoch": 0.36, + "learning_rate": 1.8855674143465567e-05, + "loss": 0.3143, + "step": 187 + }, + { + "epoch": 0.36, + "learning_rate": 1.8841153935046098e-05, + "loss": 0.2777, + "step": 188 + }, + { + "epoch": 0.36, + "learning_rate": 1.8826547847566692e-05, + "loss": 0.347, + "step": 189 + }, + { + "epoch": 0.37, + "learning_rate": 1.8811856022904423e-05, + "loss": 0.3351, + "step": 190 + }, + { + "epoch": 0.37, + "learning_rate": 1.8797078603769184e-05, + "loss": 0.2882, + "step": 191 + }, + { + "epoch": 0.37, + "learning_rate": 1.8782215733702286e-05, + "loss": 0.3131, + "step": 192 + }, + { + "epoch": 0.37, + "learning_rate": 1.876726755707508e-05, + "loss": 0.271, + "step": 193 + }, + { + "epoch": 0.37, + "learning_rate": 1.8752234219087538e-05, + "loss": 0.3061, + "step": 194 + }, + { + "epoch": 0.38, + "learning_rate": 1.8737115865766865e-05, + "loss": 0.2788, + "step": 195 + }, + { + "epoch": 0.38, + "learning_rate": 1.8721912643966055e-05, + "loss": 0.3215, + "step": 196 + }, + { + "epoch": 0.38, + "learning_rate": 1.8706624701362485e-05, + "loss": 0.2239, + "step": 197 + }, + { + "epoch": 0.38, + "learning_rate": 1.8691252186456465e-05, + "loss": 0.2239, + "step": 198 + }, + { + "epoch": 0.38, + "learning_rate": 1.8675795248569816e-05, + "loss": 0.2771, + "step": 199 + }, + { + "epoch": 0.38, + "learning_rate": 1.866025403784439e-05, + "loss": 0.2776, + "step": 200 + }, + { + "epoch": 0.39, + "learning_rate": 1.8644628705240636e-05, + "loss": 0.3079, + "step": 201 + }, + { + "epoch": 0.39, + "learning_rate": 1.862891940253613e-05, + "loss": 0.2759, + "step": 202 + }, + { + "epoch": 0.39, + "learning_rate": 1.8613126282324092e-05, + "loss": 0.271, + "step": 203 + }, + { + "epoch": 0.39, + "learning_rate": 1.8597249498011906e-05, + "loss": 0.298, + "step": 204 + }, + { + "epoch": 0.39, + "learning_rate": 1.858128920381963e-05, + "loss": 0.3204, + "step": 205 + }, + { + "epoch": 0.4, + "learning_rate": 1.8565245554778516e-05, + "loss": 0.2648, + "step": 206 + }, + { + "epoch": 0.4, + "learning_rate": 1.854911870672947e-05, + "loss": 0.2512, + "step": 207 + }, + { + "epoch": 0.4, + "learning_rate": 1.8532908816321557e-05, + "loss": 0.2963, + "step": 208 + }, + { + "epoch": 0.4, + "learning_rate": 1.8516616041010495e-05, + "loss": 0.249, + "step": 209 + }, + { + "epoch": 0.4, + "learning_rate": 1.8500240539057093e-05, + "loss": 0.2876, + "step": 210 + }, + { + "epoch": 0.41, + "learning_rate": 1.848378246952574e-05, + "loss": 0.2451, + "step": 211 + }, + { + "epoch": 0.41, + "learning_rate": 1.8467241992282842e-05, + "loss": 0.2507, + "step": 212 + }, + { + "epoch": 0.41, + "learning_rate": 1.8450619267995283e-05, + "loss": 0.3187, + "step": 213 + }, + { + "epoch": 0.41, + "learning_rate": 1.843391445812886e-05, + "loss": 0.2954, + "step": 214 + }, + { + "epoch": 0.41, + "learning_rate": 1.84171277249467e-05, + "loss": 0.304, + "step": 215 + }, + { + "epoch": 0.42, + "learning_rate": 1.8400259231507716e-05, + "loss": 0.3065, + "step": 216 + }, + { + "epoch": 0.42, + "learning_rate": 1.8383309141664992e-05, + "loss": 0.2334, + "step": 217 + }, + { + "epoch": 0.42, + "learning_rate": 1.83662776200642e-05, + "loss": 0.3215, + "step": 218 + }, + { + "epoch": 0.42, + "learning_rate": 1.8349164832142015e-05, + "loss": 0.2169, + "step": 219 + }, + { + "epoch": 0.42, + "learning_rate": 1.833197094412449e-05, + "loss": 0.2751, + "step": 220 + }, + { + "epoch": 0.42, + "learning_rate": 1.8314696123025456e-05, + "loss": 0.2806, + "step": 221 + }, + { + "epoch": 0.43, + "learning_rate": 1.8297340536644877e-05, + "loss": 0.2745, + "step": 222 + }, + { + "epoch": 0.43, + "learning_rate": 1.827990435356725e-05, + "loss": 0.2909, + "step": 223 + }, + { + "epoch": 0.43, + "learning_rate": 1.826238774315995e-05, + "loss": 0.3213, + "step": 224 + }, + { + "epoch": 0.43, + "learning_rate": 1.8244790875571582e-05, + "loss": 0.3003, + "step": 225 + }, + { + "epoch": 0.43, + "learning_rate": 1.8227113921730336e-05, + "loss": 0.262, + "step": 226 + }, + { + "epoch": 0.44, + "learning_rate": 1.8209357053342325e-05, + "loss": 0.2862, + "step": 227 + }, + { + "epoch": 0.44, + "learning_rate": 1.819152044288992e-05, + "loss": 0.3163, + "step": 228 + }, + { + "epoch": 0.44, + "learning_rate": 1.8173604263630066e-05, + "loss": 0.2482, + "step": 229 + }, + { + "epoch": 0.44, + "learning_rate": 1.8155608689592604e-05, + "loss": 0.2723, + "step": 230 + }, + { + "epoch": 0.44, + "learning_rate": 1.8137533895578585e-05, + "loss": 0.2783, + "step": 231 + }, + { + "epoch": 0.45, + "learning_rate": 1.811938005715857e-05, + "loss": 0.2566, + "step": 232 + }, + { + "epoch": 0.45, + "learning_rate": 1.8101147350670905e-05, + "loss": 0.2433, + "step": 233 + }, + { + "epoch": 0.45, + "learning_rate": 1.8082835953220055e-05, + "loss": 0.26, + "step": 234 + }, + { + "epoch": 0.45, + "learning_rate": 1.806444604267483e-05, + "loss": 0.2293, + "step": 235 + }, + { + "epoch": 0.45, + "learning_rate": 1.8045977797666685e-05, + "loss": 0.2662, + "step": 236 + }, + { + "epoch": 0.46, + "learning_rate": 1.8027431397587993e-05, + "loss": 0.2926, + "step": 237 + }, + { + "epoch": 0.46, + "learning_rate": 1.8008807022590283e-05, + "loss": 0.2753, + "step": 238 + }, + { + "epoch": 0.46, + "learning_rate": 1.7990104853582494e-05, + "loss": 0.2503, + "step": 239 + }, + { + "epoch": 0.46, + "learning_rate": 1.7971325072229227e-05, + "loss": 0.257, + "step": 240 + }, + { + "epoch": 0.46, + "learning_rate": 1.7952467860948975e-05, + "loss": 0.235, + "step": 241 + }, + { + "epoch": 0.47, + "learning_rate": 1.7933533402912354e-05, + "loss": 0.2411, + "step": 242 + }, + { + "epoch": 0.47, + "learning_rate": 1.791452188204031e-05, + "loss": 0.3642, + "step": 243 + }, + { + "epoch": 0.47, + "learning_rate": 1.7895433483002356e-05, + "loss": 0.312, + "step": 244 + }, + { + "epoch": 0.47, + "learning_rate": 1.7876268391214756e-05, + "loss": 0.2922, + "step": 245 + }, + { + "epoch": 0.47, + "learning_rate": 1.785702679283874e-05, + "loss": 0.281, + "step": 246 + }, + { + "epoch": 0.47, + "learning_rate": 1.7837708874778683e-05, + "loss": 0.2728, + "step": 247 + }, + { + "epoch": 0.48, + "learning_rate": 1.78183148246803e-05, + "loss": 0.3026, + "step": 248 + }, + { + "epoch": 0.48, + "learning_rate": 1.7798844830928818e-05, + "loss": 0.2507, + "step": 249 + }, + { + "epoch": 0.48, + "learning_rate": 1.777929908264715e-05, + "loss": 0.2845, + "step": 250 + }, + { + "epoch": 0.48, + "learning_rate": 1.775967776969405e-05, + "loss": 0.2366, + "step": 251 + }, + { + "epoch": 0.48, + "learning_rate": 1.7739981082662275e-05, + "loss": 0.2627, + "step": 252 + }, + { + "epoch": 0.49, + "learning_rate": 1.772020921287674e-05, + "loss": 0.2913, + "step": 253 + }, + { + "epoch": 0.49, + "learning_rate": 1.7700362352392632e-05, + "loss": 0.2583, + "step": 254 + }, + { + "epoch": 0.49, + "learning_rate": 1.7680440693993586e-05, + "loss": 0.2789, + "step": 255 + }, + { + "epoch": 0.49, + "learning_rate": 1.766044443118978e-05, + "loss": 0.2587, + "step": 256 + }, + { + "epoch": 0.49, + "learning_rate": 1.7640373758216075e-05, + "loss": 0.3167, + "step": 257 + }, + { + "epoch": 0.5, + "learning_rate": 1.762022887003011e-05, + "loss": 0.3075, + "step": 258 + }, + { + "epoch": 0.5, + "learning_rate": 1.7600009962310417e-05, + "loss": 0.2624, + "step": 259 + }, + { + "epoch": 0.5, + "learning_rate": 1.757971723145453e-05, + "loss": 0.3145, + "step": 260 + }, + { + "epoch": 0.5, + "learning_rate": 1.7559350874577066e-05, + "loss": 0.2992, + "step": 261 + }, + { + "epoch": 0.5, + "learning_rate": 1.75389110895078e-05, + "loss": 0.2608, + "step": 262 + }, + { + "epoch": 0.51, + "learning_rate": 1.7518398074789776e-05, + "loss": 0.3234, + "step": 263 + }, + { + "epoch": 0.51, + "learning_rate": 1.7497812029677344e-05, + "loss": 0.3116, + "step": 264 + }, + { + "epoch": 0.51, + "learning_rate": 1.7477153154134244e-05, + "loss": 0.2946, + "step": 265 + }, + { + "epoch": 0.51, + "learning_rate": 1.7456421648831658e-05, + "loss": 0.2553, + "step": 266 + }, + { + "epoch": 0.51, + "learning_rate": 1.743561771514626e-05, + "loss": 0.3001, + "step": 267 + }, + { + "epoch": 0.52, + "learning_rate": 1.741474155515827e-05, + "loss": 0.3131, + "step": 268 + }, + { + "epoch": 0.52, + "learning_rate": 1.739379337164946e-05, + "loss": 0.2931, + "step": 269 + }, + { + "epoch": 0.52, + "learning_rate": 1.737277336810124e-05, + "loss": 0.3154, + "step": 270 + }, + { + "epoch": 0.52, + "learning_rate": 1.7351681748692622e-05, + "loss": 0.3235, + "step": 271 + }, + { + "epoch": 0.52, + "learning_rate": 1.7330518718298263e-05, + "loss": 0.2721, + "step": 272 + }, + { + "epoch": 0.53, + "learning_rate": 1.7309284482486494e-05, + "loss": 0.253, + "step": 273 + }, + { + "epoch": 0.53, + "learning_rate": 1.7287979247517285e-05, + "loss": 0.2777, + "step": 274 + }, + { + "epoch": 0.53, + "learning_rate": 1.7266603220340273e-05, + "loss": 0.3038, + "step": 275 + }, + { + "epoch": 0.53, + "learning_rate": 1.7245156608592727e-05, + "loss": 0.3049, + "step": 276 + }, + { + "epoch": 0.53, + "learning_rate": 1.7223639620597556e-05, + "loss": 0.3453, + "step": 277 + }, + { + "epoch": 0.53, + "learning_rate": 1.7202052465361268e-05, + "loss": 0.2584, + "step": 278 + }, + { + "epoch": 0.54, + "learning_rate": 1.718039535257194e-05, + "loss": 0.3027, + "step": 279 + }, + { + "epoch": 0.54, + "learning_rate": 1.7158668492597186e-05, + "loss": 0.2321, + "step": 280 + }, + { + "epoch": 0.54, + "learning_rate": 1.7136872096482123e-05, + "loss": 0.238, + "step": 281 + }, + { + "epoch": 0.54, + "learning_rate": 1.7115006375947304e-05, + "loss": 0.3371, + "step": 282 + }, + { + "epoch": 0.54, + "learning_rate": 1.7093071543386667e-05, + "loss": 0.3646, + "step": 283 + }, + { + "epoch": 0.55, + "learning_rate": 1.7071067811865477e-05, + "loss": 0.309, + "step": 284 + }, + { + "epoch": 0.55, + "learning_rate": 1.7048995395118253e-05, + "loss": 0.3419, + "step": 285 + }, + { + "epoch": 0.55, + "learning_rate": 1.7026854507546694e-05, + "loss": 0.3216, + "step": 286 + }, + { + "epoch": 0.55, + "learning_rate": 1.7004645364217584e-05, + "loss": 0.2727, + "step": 287 + }, + { + "epoch": 0.55, + "learning_rate": 1.698236818086073e-05, + "loss": 0.2941, + "step": 288 + }, + { + "epoch": 0.56, + "learning_rate": 1.6960023173866834e-05, + "loss": 0.2508, + "step": 289 + }, + { + "epoch": 0.56, + "learning_rate": 1.693761056028542e-05, + "loss": 0.2225, + "step": 290 + }, + { + "epoch": 0.56, + "learning_rate": 1.6915130557822698e-05, + "loss": 0.3133, + "step": 291 + }, + { + "epoch": 0.56, + "learning_rate": 1.689258338483947e-05, + "loss": 0.2674, + "step": 292 + }, + { + "epoch": 0.56, + "learning_rate": 1.686996926034902e-05, + "loss": 0.2953, + "step": 293 + }, + { + "epoch": 0.57, + "learning_rate": 1.6847288404014937e-05, + "loss": 0.3301, + "step": 294 + }, + { + "epoch": 0.57, + "learning_rate": 1.682454103614904e-05, + "loss": 0.2626, + "step": 295 + }, + { + "epoch": 0.57, + "learning_rate": 1.6801727377709195e-05, + "loss": 0.3068, + "step": 296 + }, + { + "epoch": 0.57, + "learning_rate": 1.67788476502972e-05, + "loss": 0.2985, + "step": 297 + }, + { + "epoch": 0.57, + "learning_rate": 1.6755902076156606e-05, + "loss": 0.2519, + "step": 298 + }, + { + "epoch": 0.57, + "learning_rate": 1.6732890878170573e-05, + "loss": 0.2772, + "step": 299 + }, + { + "epoch": 0.58, + "learning_rate": 1.67098142798597e-05, + "loss": 0.2787, + "step": 300 + }, + { + "epoch": 0.58, + "learning_rate": 1.668667250537987e-05, + "loss": 0.3226, + "step": 301 + }, + { + "epoch": 0.58, + "learning_rate": 1.6663465779520042e-05, + "loss": 0.2774, + "step": 302 + }, + { + "epoch": 0.58, + "learning_rate": 1.6640194327700087e-05, + "loss": 0.3848, + "step": 303 + }, + { + "epoch": 0.58, + "learning_rate": 1.6616858375968596e-05, + "loss": 0.2963, + "step": 304 + }, + { + "epoch": 0.59, + "learning_rate": 1.659345815100069e-05, + "loss": 0.2928, + "step": 305 + }, + { + "epoch": 0.59, + "learning_rate": 1.6569993880095807e-05, + "loss": 0.2956, + "step": 306 + }, + { + "epoch": 0.59, + "learning_rate": 1.6546465791175498e-05, + "loss": 0.259, + "step": 307 + }, + { + "epoch": 0.59, + "learning_rate": 1.6522874112781213e-05, + "loss": 0.2371, + "step": 308 + }, + { + "epoch": 0.59, + "learning_rate": 1.6499219074072087e-05, + "loss": 0.2935, + "step": 309 + }, + { + "epoch": 0.6, + "learning_rate": 1.6475500904822707e-05, + "loss": 0.2653, + "step": 310 + }, + { + "epoch": 0.6, + "learning_rate": 1.645171983542088e-05, + "loss": 0.3192, + "step": 311 + }, + { + "epoch": 0.6, + "learning_rate": 1.6427876096865394e-05, + "loss": 0.3067, + "step": 312 + }, + { + "epoch": 0.6, + "learning_rate": 1.640396992076379e-05, + "loss": 0.2214, + "step": 313 + }, + { + "epoch": 0.6, + "learning_rate": 1.6380001539330088e-05, + "loss": 0.2741, + "step": 314 + }, + { + "epoch": 0.61, + "learning_rate": 1.6355971185382547e-05, + "loss": 0.2275, + "step": 315 + }, + { + "epoch": 0.61, + "learning_rate": 1.6331879092341402e-05, + "loss": 0.3036, + "step": 316 + }, + { + "epoch": 0.61, + "learning_rate": 1.6307725494226586e-05, + "loss": 0.2903, + "step": 317 + }, + { + "epoch": 0.61, + "learning_rate": 1.6283510625655474e-05, + "loss": 0.2693, + "step": 318 + }, + { + "epoch": 0.61, + "learning_rate": 1.6259234721840595e-05, + "loss": 0.2829, + "step": 319 + }, + { + "epoch": 0.62, + "learning_rate": 1.6234898018587336e-05, + "loss": 0.2574, + "step": 320 + }, + { + "epoch": 0.62, + "learning_rate": 1.6210500752291682e-05, + "loss": 0.3058, + "step": 321 + }, + { + "epoch": 0.62, + "learning_rate": 1.6186043159937884e-05, + "loss": 0.3361, + "step": 322 + }, + { + "epoch": 0.62, + "learning_rate": 1.616152547909618e-05, + "loss": 0.3129, + "step": 323 + }, + { + "epoch": 0.62, + "learning_rate": 1.6136947947920477e-05, + "loss": 0.283, + "step": 324 + }, + { + "epoch": 0.62, + "learning_rate": 1.611231080514605e-05, + "loss": 0.2761, + "step": 325 + }, + { + "epoch": 0.63, + "learning_rate": 1.608761429008721e-05, + "loss": 0.2744, + "step": 326 + }, + { + "epoch": 0.63, + "learning_rate": 1.606285864263498e-05, + "loss": 0.2499, + "step": 327 + }, + { + "epoch": 0.63, + "learning_rate": 1.6038044103254775e-05, + "loss": 0.3227, + "step": 328 + }, + { + "epoch": 0.63, + "learning_rate": 1.601317091298406e-05, + "loss": 0.3156, + "step": 329 + }, + { + "epoch": 0.63, + "learning_rate": 1.5988239313430004e-05, + "loss": 0.368, + "step": 330 + }, + { + "epoch": 0.64, + "learning_rate": 1.5963249546767144e-05, + "loss": 0.2803, + "step": 331 + }, + { + "epoch": 0.64, + "learning_rate": 1.5938201855735017e-05, + "loss": 0.2881, + "step": 332 + }, + { + "epoch": 0.64, + "learning_rate": 1.5913096483635827e-05, + "loss": 0.2658, + "step": 333 + }, + { + "epoch": 0.64, + "learning_rate": 1.5887933674332048e-05, + "loss": 0.303, + "step": 334 + }, + { + "epoch": 0.64, + "learning_rate": 1.5862713672244092e-05, + "loss": 0.2942, + "step": 335 + }, + { + "epoch": 0.65, + "learning_rate": 1.5837436722347902e-05, + "loss": 0.3167, + "step": 336 + }, + { + "epoch": 0.65, + "learning_rate": 1.5812103070172592e-05, + "loss": 0.2853, + "step": 337 + }, + { + "epoch": 0.65, + "learning_rate": 1.578671296179806e-05, + "loss": 0.3242, + "step": 338 + }, + { + "epoch": 0.65, + "learning_rate": 1.5761266643852587e-05, + "loss": 0.2558, + "step": 339 + }, + { + "epoch": 0.65, + "learning_rate": 1.573576436351046e-05, + "loss": 0.2507, + "step": 340 + }, + { + "epoch": 0.66, + "learning_rate": 1.5710206368489555e-05, + "loss": 0.272, + "step": 341 + }, + { + "epoch": 0.66, + "learning_rate": 1.5684592907048925e-05, + "loss": 0.305, + "step": 342 + }, + { + "epoch": 0.66, + "learning_rate": 1.5658924227986415e-05, + "loss": 0.2581, + "step": 343 + }, + { + "epoch": 0.66, + "learning_rate": 1.563320058063622e-05, + "loss": 0.2313, + "step": 344 + }, + { + "epoch": 0.66, + "learning_rate": 1.560742221486648e-05, + "loss": 0.2633, + "step": 345 + }, + { + "epoch": 0.67, + "learning_rate": 1.5581589381076843e-05, + "loss": 0.2827, + "step": 346 + }, + { + "epoch": 0.67, + "learning_rate": 1.5555702330196024e-05, + "loss": 0.2869, + "step": 347 + }, + { + "epoch": 0.67, + "learning_rate": 1.5529761313679396e-05, + "loss": 0.2416, + "step": 348 + }, + { + "epoch": 0.67, + "learning_rate": 1.5503766583506522e-05, + "loss": 0.3046, + "step": 349 + }, + { + "epoch": 0.67, + "learning_rate": 1.5477718392178716e-05, + "loss": 0.2946, + "step": 350 + }, + { + "epoch": 0.68, + "learning_rate": 1.545161699271659e-05, + "loss": 0.299, + "step": 351 + }, + { + "epoch": 0.68, + "learning_rate": 1.5425462638657597e-05, + "loss": 0.2842, + "step": 352 + }, + { + "epoch": 0.68, + "learning_rate": 1.5399255584053568e-05, + "loss": 0.2632, + "step": 353 + }, + { + "epoch": 0.68, + "learning_rate": 1.5372996083468242e-05, + "loss": 0.2635, + "step": 354 + }, + { + "epoch": 0.68, + "learning_rate": 1.5346684391974792e-05, + "loss": 0.2951, + "step": 355 + }, + { + "epoch": 0.68, + "learning_rate": 1.5320320765153367e-05, + "loss": 0.3626, + "step": 356 + }, + { + "epoch": 0.69, + "learning_rate": 1.529390545908857e-05, + "loss": 0.2715, + "step": 357 + }, + { + "epoch": 0.69, + "learning_rate": 1.526743873036701e-05, + "loss": 0.306, + "step": 358 + }, + { + "epoch": 0.69, + "learning_rate": 1.5240920836074777e-05, + "loss": 0.2744, + "step": 359 + }, + { + "epoch": 0.69, + "learning_rate": 1.5214352033794981e-05, + "loss": 0.2504, + "step": 360 + }, + { + "epoch": 0.69, + "learning_rate": 1.5187732581605217e-05, + "loss": 0.2561, + "step": 361 + }, + { + "epoch": 0.7, + "learning_rate": 1.5161062738075068e-05, + "loss": 0.29, + "step": 362 + }, + { + "epoch": 0.7, + "learning_rate": 1.5134342762263606e-05, + "loss": 0.3179, + "step": 363 + }, + { + "epoch": 0.7, + "learning_rate": 1.5107572913716859e-05, + "loss": 0.2706, + "step": 364 + }, + { + "epoch": 0.7, + "learning_rate": 1.5080753452465296e-05, + "loss": 0.2969, + "step": 365 + }, + { + "epoch": 0.7, + "learning_rate": 1.505388463902131e-05, + "loss": 0.3527, + "step": 366 + }, + { + "epoch": 0.71, + "learning_rate": 1.502696673437667e-05, + "loss": 0.2439, + "step": 367 + }, + { + "epoch": 0.71, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.3277, + "step": 368 + }, + { + "epoch": 0.71, + "learning_rate": 1.4972984697834238e-05, + "loss": 0.2584, + "step": 369 + }, + { + "epoch": 0.71, + "learning_rate": 1.4945921090294076e-05, + "loss": 0.2403, + "step": 370 + }, + { + "epoch": 0.71, + "learning_rate": 1.4918809440263435e-05, + "loss": 0.2998, + "step": 371 + }, + { + "epoch": 0.72, + "learning_rate": 1.4891650011092896e-05, + "loss": 0.3289, + "step": 372 + }, + { + "epoch": 0.72, + "learning_rate": 1.486444306659714e-05, + "loss": 0.2605, + "step": 373 + }, + { + "epoch": 0.72, + "learning_rate": 1.4837188871052399e-05, + "loss": 0.2751, + "step": 374 + }, + { + "epoch": 0.72, + "learning_rate": 1.4809887689193878e-05, + "loss": 0.2747, + "step": 375 + }, + { + "epoch": 0.72, + "learning_rate": 1.4782539786213184e-05, + "loss": 0.2412, + "step": 376 + }, + { + "epoch": 0.72, + "learning_rate": 1.4755145427755755e-05, + "loss": 0.248, + "step": 377 + }, + { + "epoch": 0.73, + "learning_rate": 1.4727704879918272e-05, + "loss": 0.2754, + "step": 378 + }, + { + "epoch": 0.73, + "learning_rate": 1.4700218409246087e-05, + "loss": 0.3088, + "step": 379 + }, + { + "epoch": 0.73, + "learning_rate": 1.4672686282730622e-05, + "loss": 0.2608, + "step": 380 + }, + { + "epoch": 0.73, + "learning_rate": 1.4645108767806778e-05, + "loss": 0.3526, + "step": 381 + }, + { + "epoch": 0.73, + "learning_rate": 1.4617486132350343e-05, + "loss": 0.3136, + "step": 382 + }, + { + "epoch": 0.74, + "learning_rate": 1.4589818644675378e-05, + "loss": 0.2658, + "step": 383 + }, + { + "epoch": 0.74, + "learning_rate": 1.4562106573531632e-05, + "loss": 0.2535, + "step": 384 + }, + { + "epoch": 0.74, + "learning_rate": 1.4534350188101905e-05, + "loss": 0.309, + "step": 385 + }, + { + "epoch": 0.74, + "learning_rate": 1.4506549757999456e-05, + "loss": 0.2513, + "step": 386 + }, + { + "epoch": 0.74, + "learning_rate": 1.4478705553265363e-05, + "loss": 0.2805, + "step": 387 + }, + { + "epoch": 0.75, + "learning_rate": 1.4450817844365924e-05, + "loss": 0.2679, + "step": 388 + }, + { + "epoch": 0.75, + "learning_rate": 1.4422886902190014e-05, + "loss": 0.2682, + "step": 389 + }, + { + "epoch": 0.75, + "learning_rate": 1.4394912998046451e-05, + "loss": 0.2175, + "step": 390 + }, + { + "epoch": 0.75, + "learning_rate": 1.436689640366137e-05, + "loss": 0.2748, + "step": 391 + }, + { + "epoch": 0.75, + "learning_rate": 1.4338837391175582e-05, + "loss": 0.289, + "step": 392 + }, + { + "epoch": 0.76, + "learning_rate": 1.4310736233141926e-05, + "loss": 0.3036, + "step": 393 + }, + { + "epoch": 0.76, + "learning_rate": 1.4282593202522627e-05, + "loss": 0.2636, + "step": 394 + }, + { + "epoch": 0.76, + "learning_rate": 1.4254408572686642e-05, + "loss": 0.2123, + "step": 395 + }, + { + "epoch": 0.76, + "learning_rate": 1.4226182617406996e-05, + "loss": 0.2737, + "step": 396 + }, + { + "epoch": 0.76, + "learning_rate": 1.4197915610858143e-05, + "loss": 0.2761, + "step": 397 + }, + { + "epoch": 0.77, + "learning_rate": 1.4169607827613284e-05, + "loss": 0.3161, + "step": 398 + }, + { + "epoch": 0.77, + "learning_rate": 1.4141259542641706e-05, + "loss": 0.3019, + "step": 399 + }, + { + "epoch": 0.77, + "learning_rate": 1.4112871031306118e-05, + "loss": 0.3382, + "step": 400 + }, + { + "epoch": 0.77, + "learning_rate": 1.4084442569359964e-05, + "loss": 0.3034, + "step": 401 + }, + { + "epoch": 0.77, + "learning_rate": 1.4055974432944753e-05, + "loss": 0.3254, + "step": 402 + }, + { + "epoch": 0.78, + "learning_rate": 1.4027466898587375e-05, + "loss": 0.2363, + "step": 403 + }, + { + "epoch": 0.78, + "learning_rate": 1.3998920243197408e-05, + "loss": 0.2609, + "step": 404 + }, + { + "epoch": 0.78, + "learning_rate": 1.3970334744064451e-05, + "loss": 0.282, + "step": 405 + }, + { + "epoch": 0.78, + "learning_rate": 1.3941710678855396e-05, + "loss": 0.2528, + "step": 406 + }, + { + "epoch": 0.78, + "learning_rate": 1.391304832561175e-05, + "loss": 0.2296, + "step": 407 + }, + { + "epoch": 0.78, + "learning_rate": 1.3884347962746949e-05, + "loss": 0.4148, + "step": 408 + }, + { + "epoch": 0.79, + "learning_rate": 1.3855609869043618e-05, + "loss": 0.2966, + "step": 409 + }, + { + "epoch": 0.79, + "learning_rate": 1.3826834323650899e-05, + "loss": 0.3317, + "step": 410 + }, + { + "epoch": 0.79, + "learning_rate": 1.3798021606081713e-05, + "loss": 0.2712, + "step": 411 + }, + { + "epoch": 0.79, + "learning_rate": 1.3769171996210053e-05, + "loss": 0.3334, + "step": 412 + }, + { + "epoch": 0.79, + "learning_rate": 1.3740285774268282e-05, + "loss": 0.2987, + "step": 413 + }, + { + "epoch": 0.8, + "learning_rate": 1.371136322084438e-05, + "loss": 0.2348, + "step": 414 + }, + { + "epoch": 0.8, + "learning_rate": 1.3682404616879246e-05, + "loss": 0.2654, + "step": 415 + }, + { + "epoch": 0.8, + "learning_rate": 1.3653410243663953e-05, + "loss": 0.3012, + "step": 416 + }, + { + "epoch": 0.8, + "learning_rate": 1.3624380382837017e-05, + "loss": 0.3319, + "step": 417 + }, + { + "epoch": 0.8, + "learning_rate": 1.3595315316381676e-05, + "loss": 0.2922, + "step": 418 + }, + { + "epoch": 0.81, + "learning_rate": 1.3566215326623131e-05, + "loss": 0.3088, + "step": 419 + }, + { + "epoch": 0.81, + "learning_rate": 1.3537080696225815e-05, + "loss": 0.2753, + "step": 420 + }, + { + "epoch": 0.81, + "learning_rate": 1.3507911708190646e-05, + "loss": 0.2246, + "step": 421 + }, + { + "epoch": 0.81, + "learning_rate": 1.3478708645852272e-05, + "loss": 0.2534, + "step": 422 + }, + { + "epoch": 0.81, + "learning_rate": 1.3449471792876333e-05, + "loss": 0.3303, + "step": 423 + }, + { + "epoch": 0.82, + "learning_rate": 1.342020143325669e-05, + "loss": 0.2282, + "step": 424 + }, + { + "epoch": 0.82, + "learning_rate": 1.3390897851312667e-05, + "loss": 0.2453, + "step": 425 + }, + { + "epoch": 0.82, + "learning_rate": 1.336156133168631e-05, + "loss": 0.35, + "step": 426 + }, + { + "epoch": 0.82, + "learning_rate": 1.3332192159339595e-05, + "loss": 0.3439, + "step": 427 + }, + { + "epoch": 0.82, + "learning_rate": 1.3302790619551673e-05, + "loss": 0.3345, + "step": 428 + }, + { + "epoch": 0.82, + "learning_rate": 1.3273356997916106e-05, + "loss": 0.2997, + "step": 429 + }, + { + "epoch": 0.83, + "learning_rate": 1.3243891580338074e-05, + "loss": 0.2903, + "step": 430 + }, + { + "epoch": 0.83, + "learning_rate": 1.3214394653031616e-05, + "loss": 0.2787, + "step": 431 + }, + { + "epoch": 0.83, + "learning_rate": 1.3184866502516846e-05, + "loss": 0.2297, + "step": 432 + }, + { + "epoch": 0.83, + "learning_rate": 1.3155307415617156e-05, + "loss": 0.2647, + "step": 433 + }, + { + "epoch": 0.83, + "learning_rate": 1.3125717679456447e-05, + "loss": 0.2671, + "step": 434 + }, + { + "epoch": 0.84, + "learning_rate": 1.309609758145633e-05, + "loss": 0.2983, + "step": 435 + }, + { + "epoch": 0.84, + "learning_rate": 1.3066447409333345e-05, + "loss": 0.2799, + "step": 436 + }, + { + "epoch": 0.84, + "learning_rate": 1.3036767451096148e-05, + "loss": 0.2767, + "step": 437 + }, + { + "epoch": 0.84, + "learning_rate": 1.300705799504273e-05, + "loss": 0.2439, + "step": 438 + }, + { + "epoch": 0.84, + "learning_rate": 1.2977319329757616e-05, + "loss": 0.322, + "step": 439 + }, + { + "epoch": 0.85, + "learning_rate": 1.2947551744109044e-05, + "loss": 0.2731, + "step": 440 + }, + { + "epoch": 0.85, + "learning_rate": 1.2917755527246179e-05, + "loss": 0.2215, + "step": 441 + }, + { + "epoch": 0.85, + "learning_rate": 1.28879309685963e-05, + "loss": 0.2944, + "step": 442 + }, + { + "epoch": 0.85, + "learning_rate": 1.2858078357861979e-05, + "loss": 0.2609, + "step": 443 + }, + { + "epoch": 0.85, + "learning_rate": 1.2828197985018276e-05, + "loss": 0.2675, + "step": 444 + }, + { + "epoch": 0.86, + "learning_rate": 1.2798290140309924e-05, + "loss": 0.3018, + "step": 445 + }, + { + "epoch": 0.86, + "learning_rate": 1.2768355114248493e-05, + "loss": 0.2931, + "step": 446 + }, + { + "epoch": 0.86, + "learning_rate": 1.2738393197609602e-05, + "loss": 0.3087, + "step": 447 + }, + { + "epoch": 0.86, + "learning_rate": 1.2708404681430054e-05, + "loss": 0.2885, + "step": 448 + }, + { + "epoch": 0.86, + "learning_rate": 1.2678389857005033e-05, + "loss": 0.2766, + "step": 449 + }, + { + "epoch": 0.87, + "learning_rate": 1.2648349015885272e-05, + "loss": 0.2884, + "step": 450 + }, + { + "epoch": 0.87, + "learning_rate": 1.2618282449874221e-05, + "loss": 0.3036, + "step": 451 + }, + { + "epoch": 0.87, + "learning_rate": 1.2588190451025209e-05, + "loss": 0.2656, + "step": 452 + }, + { + "epoch": 0.87, + "learning_rate": 1.2558073311638604e-05, + "loss": 0.2637, + "step": 453 + }, + { + "epoch": 0.87, + "learning_rate": 1.2527931324258975e-05, + "loss": 0.2751, + "step": 454 + }, + { + "epoch": 0.88, + "learning_rate": 1.249776478167227e-05, + "loss": 0.2935, + "step": 455 + }, + { + "epoch": 0.88, + "learning_rate": 1.2467573976902936e-05, + "loss": 0.3568, + "step": 456 + }, + { + "epoch": 0.88, + "learning_rate": 1.2437359203211109e-05, + "loss": 0.2683, + "step": 457 + }, + { + "epoch": 0.88, + "learning_rate": 1.2407120754089733e-05, + "loss": 0.3217, + "step": 458 + }, + { + "epoch": 0.88, + "learning_rate": 1.2376858923261732e-05, + "loss": 0.2843, + "step": 459 + }, + { + "epoch": 0.88, + "learning_rate": 1.2346574004677154e-05, + "loss": 0.2699, + "step": 460 + }, + { + "epoch": 0.89, + "learning_rate": 1.2316266292510305e-05, + "loss": 0.2738, + "step": 461 + }, + { + "epoch": 0.89, + "learning_rate": 1.2285936081156897e-05, + "loss": 0.3254, + "step": 462 + }, + { + "epoch": 0.89, + "learning_rate": 1.2255583665231196e-05, + "loss": 0.2704, + "step": 463 + }, + { + "epoch": 0.89, + "learning_rate": 1.2225209339563144e-05, + "loss": 0.3453, + "step": 464 + }, + { + "epoch": 0.89, + "learning_rate": 1.2194813399195518e-05, + "loss": 0.2691, + "step": 465 + }, + { + "epoch": 0.9, + "learning_rate": 1.2164396139381029e-05, + "loss": 0.31, + "step": 466 + }, + { + "epoch": 0.9, + "learning_rate": 1.2133957855579501e-05, + "loss": 0.2453, + "step": 467 + }, + { + "epoch": 0.9, + "learning_rate": 1.210349884345496e-05, + "loss": 0.3133, + "step": 468 + }, + { + "epoch": 0.9, + "learning_rate": 1.2073019398872778e-05, + "loss": 0.3025, + "step": 469 + }, + { + "epoch": 0.9, + "learning_rate": 1.2042519817896805e-05, + "loss": 0.2544, + "step": 470 + }, + { + "epoch": 0.91, + "learning_rate": 1.2012000396786485e-05, + "loss": 0.2853, + "step": 471 + }, + { + "epoch": 0.91, + "learning_rate": 1.1981461431993978e-05, + "loss": 0.2783, + "step": 472 + }, + { + "epoch": 0.91, + "learning_rate": 1.1950903220161286e-05, + "loss": 0.2279, + "step": 473 + }, + { + "epoch": 0.91, + "learning_rate": 1.1920326058117364e-05, + "loss": 0.2778, + "step": 474 + }, + { + "epoch": 0.91, + "learning_rate": 1.1889730242875243e-05, + "loss": 0.2748, + "step": 475 + }, + { + "epoch": 0.92, + "learning_rate": 1.1859116071629148e-05, + "loss": 0.2916, + "step": 476 + }, + { + "epoch": 0.92, + "learning_rate": 1.1828483841751597e-05, + "loss": 0.3167, + "step": 477 + }, + { + "epoch": 0.92, + "learning_rate": 1.1797833850790527e-05, + "loss": 0.306, + "step": 478 + }, + { + "epoch": 0.92, + "learning_rate": 1.1767166396466404e-05, + "loss": 0.2927, + "step": 479 + }, + { + "epoch": 0.92, + "learning_rate": 1.1736481776669307e-05, + "loss": 0.2514, + "step": 480 + }, + { + "epoch": 0.93, + "learning_rate": 1.1705780289456069e-05, + "loss": 0.2871, + "step": 481 + }, + { + "epoch": 0.93, + "learning_rate": 1.1675062233047365e-05, + "loss": 0.2858, + "step": 482 + }, + { + "epoch": 0.93, + "learning_rate": 1.1644327905824808e-05, + "loss": 0.2593, + "step": 483 + }, + { + "epoch": 0.93, + "learning_rate": 1.1613577606328068e-05, + "loss": 0.3254, + "step": 484 + }, + { + "epoch": 0.93, + "learning_rate": 1.1582811633251949e-05, + "loss": 0.2778, + "step": 485 + }, + { + "epoch": 0.93, + "learning_rate": 1.1552030285443516e-05, + "loss": 0.2236, + "step": 486 + }, + { + "epoch": 0.94, + "learning_rate": 1.1521233861899168e-05, + "loss": 0.2434, + "step": 487 + }, + { + "epoch": 0.94, + "learning_rate": 1.1490422661761744e-05, + "loss": 0.2188, + "step": 488 + }, + { + "epoch": 0.94, + "learning_rate": 1.1459596984317622e-05, + "loss": 0.2963, + "step": 489 + }, + { + "epoch": 0.94, + "learning_rate": 1.1428757128993801e-05, + "loss": 0.2587, + "step": 490 + }, + { + "epoch": 0.94, + "learning_rate": 1.1397903395354996e-05, + "loss": 0.2658, + "step": 491 + }, + { + "epoch": 0.95, + "learning_rate": 1.1367036083100735e-05, + "loss": 0.2833, + "step": 492 + }, + { + "epoch": 0.95, + "learning_rate": 1.1336155492062439e-05, + "loss": 0.2941, + "step": 493 + }, + { + "epoch": 0.95, + "learning_rate": 1.130526192220052e-05, + "loss": 0.2516, + "step": 494 + }, + { + "epoch": 0.95, + "learning_rate": 1.1274355673601446e-05, + "loss": 0.2299, + "step": 495 + }, + { + "epoch": 0.95, + "learning_rate": 1.1243437046474854e-05, + "loss": 0.277, + "step": 496 + }, + { + "epoch": 0.96, + "learning_rate": 1.1212506341150615e-05, + "loss": 0.3144, + "step": 497 + }, + { + "epoch": 0.96, + "learning_rate": 1.118156385807593e-05, + "loss": 0.3107, + "step": 498 + }, + { + "epoch": 0.96, + "learning_rate": 1.1150609897812387e-05, + "loss": 0.2422, + "step": 499 + }, + { + "epoch": 0.96, + "learning_rate": 1.1119644761033079e-05, + "loss": 0.221, + "step": 500 + }, + { + "epoch": 0.96, + "learning_rate": 1.1088668748519646e-05, + "loss": 0.291, + "step": 501 + }, + { + "epoch": 0.97, + "learning_rate": 1.105768216115938e-05, + "loss": 0.2208, + "step": 502 + }, + { + "epoch": 0.97, + "learning_rate": 1.1026685299942286e-05, + "loss": 0.2631, + "step": 503 + }, + { + "epoch": 0.97, + "learning_rate": 1.0995678465958168e-05, + "loss": 0.2549, + "step": 504 + }, + { + "epoch": 0.97, + "learning_rate": 1.0964661960393703e-05, + "loss": 0.2731, + "step": 505 + }, + { + "epoch": 0.97, + "learning_rate": 1.0933636084529507e-05, + "loss": 0.2862, + "step": 506 + }, + { + "epoch": 0.97, + "learning_rate": 1.0902601139737225e-05, + "loss": 0.2651, + "step": 507 + }, + { + "epoch": 0.98, + "learning_rate": 1.0871557427476585e-05, + "loss": 0.2657, + "step": 508 + }, + { + "epoch": 0.98, + "learning_rate": 1.0840505249292477e-05, + "loss": 0.2755, + "step": 509 + }, + { + "epoch": 0.98, + "learning_rate": 1.0809444906812034e-05, + "loss": 0.2464, + "step": 510 + }, + { + "epoch": 0.98, + "learning_rate": 1.0778376701741688e-05, + "loss": 0.2556, + "step": 511 + }, + { + "epoch": 0.98, + "learning_rate": 1.0747300935864245e-05, + "loss": 0.2953, + "step": 512 + }, + { + "epoch": 0.99, + "learning_rate": 1.0716217911035952e-05, + "loss": 0.2458, + "step": 513 + }, + { + "epoch": 0.99, + "learning_rate": 1.0685127929183567e-05, + "loss": 0.3125, + "step": 514 + }, + { + "epoch": 0.99, + "learning_rate": 1.0654031292301432e-05, + "loss": 0.306, + "step": 515 + }, + { + "epoch": 0.99, + "learning_rate": 1.0622928302448523e-05, + "loss": 0.2939, + "step": 516 + }, + { + "epoch": 0.99, + "learning_rate": 1.0591819261745528e-05, + "loss": 0.3073, + "step": 517 + }, + { + "epoch": 1.0, + "learning_rate": 1.0560704472371919e-05, + "loss": 0.2334, + "step": 518 + }, + { + "epoch": 1.0, + "learning_rate": 1.0529584236562995e-05, + "loss": 0.2722, + "step": 519 + }, + { + "epoch": 1.0, + "learning_rate": 1.0498458856606972e-05, + "loss": 0.2811, + "step": 520 + }, + { + "epoch": 1.0, + "learning_rate": 1.0467328634842024e-05, + "loss": 0.2257, + "step": 521 + }, + { + "epoch": 1.0, + "learning_rate": 1.0436193873653362e-05, + "loss": 0.212, + "step": 522 + }, + { + "epoch": 1.01, + "learning_rate": 1.0405054875470287e-05, + "loss": 0.2155, + "step": 523 + }, + { + "epoch": 1.01, + "learning_rate": 1.037391194276326e-05, + "loss": 0.26, + "step": 524 + }, + { + "epoch": 1.01, + "learning_rate": 1.0342765378040953e-05, + "loss": 0.2031, + "step": 525 + }, + { + "epoch": 1.01, + "learning_rate": 1.0311615483847333e-05, + "loss": 0.1839, + "step": 526 + }, + { + "epoch": 1.01, + "learning_rate": 1.028046256275869e-05, + "loss": 0.2833, + "step": 527 + }, + { + "epoch": 1.02, + "learning_rate": 1.0249306917380731e-05, + "loss": 0.2025, + "step": 528 + }, + { + "epoch": 1.02, + "learning_rate": 1.0218148850345613e-05, + "loss": 0.227, + "step": 529 + }, + { + "epoch": 1.02, + "learning_rate": 1.0186988664309023e-05, + "loss": 0.1985, + "step": 530 + }, + { + "epoch": 1.02, + "learning_rate": 1.0155826661947232e-05, + "loss": 0.1746, + "step": 531 + }, + { + "epoch": 1.02, + "learning_rate": 1.0124663145954152e-05, + "loss": 0.2172, + "step": 532 + }, + { + "epoch": 1.02, + "learning_rate": 1.0093498419038394e-05, + "loss": 0.2291, + "step": 533 + }, + { + "epoch": 1.03, + "learning_rate": 1.0062332783920337e-05, + "loss": 0.2097, + "step": 534 + }, + { + "epoch": 1.03, + "learning_rate": 1.0031166543329179e-05, + "loss": 0.2216, + "step": 535 + }, + { + "epoch": 1.03, + "learning_rate": 1e-05, + "loss": 0.2027, + "step": 536 + }, + { + "epoch": 1.03, + "learning_rate": 9.968833456670824e-06, + "loss": 0.2203, + "step": 537 + }, + { + "epoch": 1.03, + "learning_rate": 9.937667216079665e-06, + "loss": 0.223, + "step": 538 + }, + { + "epoch": 1.04, + "learning_rate": 9.90650158096161e-06, + "loss": 0.191, + "step": 539 + }, + { + "epoch": 1.04, + "learning_rate": 9.87533685404585e-06, + "loss": 0.177, + "step": 540 + }, + { + "epoch": 1.04, + "learning_rate": 9.844173338052771e-06, + "loss": 0.2027, + "step": 541 + }, + { + "epoch": 1.04, + "learning_rate": 9.81301133569098e-06, + "loss": 0.2097, + "step": 542 + }, + { + "epoch": 1.04, + "learning_rate": 9.78185114965439e-06, + "loss": 0.2292, + "step": 543 + }, + { + "epoch": 1.05, + "learning_rate": 9.750693082619274e-06, + "loss": 0.1777, + "step": 544 + }, + { + "epoch": 1.05, + "learning_rate": 9.719537437241311e-06, + "loss": 0.1725, + "step": 545 + }, + { + "epoch": 1.05, + "learning_rate": 9.68838451615267e-06, + "loss": 0.1936, + "step": 546 + }, + { + "epoch": 1.05, + "learning_rate": 9.65723462195905e-06, + "loss": 0.2074, + "step": 547 + }, + { + "epoch": 1.05, + "learning_rate": 9.626088057236745e-06, + "loss": 0.207, + "step": 548 + }, + { + "epoch": 1.06, + "learning_rate": 9.594945124529718e-06, + "loss": 0.2384, + "step": 549 + }, + { + "epoch": 1.06, + "learning_rate": 9.563806126346643e-06, + "loss": 0.2318, + "step": 550 + }, + { + "epoch": 1.06, + "learning_rate": 9.532671365157979e-06, + "loss": 0.2157, + "step": 551 + }, + { + "epoch": 1.06, + "learning_rate": 9.501541143393028e-06, + "loss": 0.1848, + "step": 552 + }, + { + "epoch": 1.06, + "learning_rate": 9.470415763437003e-06, + "loss": 0.258, + "step": 553 + }, + { + "epoch": 1.07, + "learning_rate": 9.439295527628083e-06, + "loss": 0.2399, + "step": 554 + }, + { + "epoch": 1.07, + "learning_rate": 9.408180738254472e-06, + "loss": 0.1745, + "step": 555 + }, + { + "epoch": 1.07, + "learning_rate": 9.377071697551479e-06, + "loss": 0.1893, + "step": 556 + }, + { + "epoch": 1.07, + "learning_rate": 9.34596870769857e-06, + "loss": 0.1848, + "step": 557 + }, + { + "epoch": 1.07, + "learning_rate": 9.314872070816435e-06, + "loss": 0.1992, + "step": 558 + }, + { + "epoch": 1.07, + "learning_rate": 9.28378208896405e-06, + "loss": 0.1764, + "step": 559 + }, + { + "epoch": 1.08, + "learning_rate": 9.252699064135759e-06, + "loss": 0.2098, + "step": 560 + }, + { + "epoch": 1.08, + "learning_rate": 9.221623298258315e-06, + "loss": 0.2656, + "step": 561 + }, + { + "epoch": 1.08, + "learning_rate": 9.190555093187968e-06, + "loss": 0.2056, + "step": 562 + }, + { + "epoch": 1.08, + "learning_rate": 9.159494750707527e-06, + "loss": 0.2249, + "step": 563 + }, + { + "epoch": 1.08, + "learning_rate": 9.128442572523418e-06, + "loss": 0.1823, + "step": 564 + }, + { + "epoch": 1.09, + "learning_rate": 9.097398860262777e-06, + "loss": 0.2077, + "step": 565 + }, + { + "epoch": 1.09, + "learning_rate": 9.066363915470494e-06, + "loss": 0.2163, + "step": 566 + }, + { + "epoch": 1.09, + "learning_rate": 9.0353380396063e-06, + "loss": 0.2313, + "step": 567 + }, + { + "epoch": 1.09, + "learning_rate": 9.004321534041836e-06, + "loss": 0.1737, + "step": 568 + }, + { + "epoch": 1.09, + "learning_rate": 8.973314700057717e-06, + "loss": 0.1861, + "step": 569 + }, + { + "epoch": 1.1, + "learning_rate": 8.942317838840625e-06, + "loss": 0.1689, + "step": 570 + }, + { + "epoch": 1.1, + "learning_rate": 8.911331251480357e-06, + "loss": 0.2246, + "step": 571 + }, + { + "epoch": 1.1, + "learning_rate": 8.880355238966923e-06, + "loss": 0.1814, + "step": 572 + }, + { + "epoch": 1.1, + "learning_rate": 8.849390102187615e-06, + "loss": 0.2076, + "step": 573 + }, + { + "epoch": 1.1, + "learning_rate": 8.818436141924072e-06, + "loss": 0.1892, + "step": 574 + }, + { + "epoch": 1.11, + "learning_rate": 8.787493658849387e-06, + "loss": 0.2049, + "step": 575 + }, + { + "epoch": 1.11, + "learning_rate": 8.756562953525151e-06, + "loss": 0.186, + "step": 576 + }, + { + "epoch": 1.11, + "learning_rate": 8.72564432639856e-06, + "loss": 0.2115, + "step": 577 + }, + { + "epoch": 1.11, + "learning_rate": 8.694738077799487e-06, + "loss": 0.2053, + "step": 578 + }, + { + "epoch": 1.11, + "learning_rate": 8.663844507937563e-06, + "loss": 0.2018, + "step": 579 + }, + { + "epoch": 1.12, + "learning_rate": 8.632963916899268e-06, + "loss": 0.1945, + "step": 580 + }, + { + "epoch": 1.12, + "learning_rate": 8.602096604645009e-06, + "loss": 0.2089, + "step": 581 + }, + { + "epoch": 1.12, + "learning_rate": 8.571242871006202e-06, + "loss": 0.2161, + "step": 582 + }, + { + "epoch": 1.12, + "learning_rate": 8.540403015682382e-06, + "loss": 0.2438, + "step": 583 + }, + { + "epoch": 1.12, + "learning_rate": 8.509577338238255e-06, + "loss": 0.1983, + "step": 584 + }, + { + "epoch": 1.12, + "learning_rate": 8.478766138100834e-06, + "loss": 0.2422, + "step": 585 + }, + { + "epoch": 1.13, + "learning_rate": 8.447969714556484e-06, + "loss": 0.1839, + "step": 586 + }, + { + "epoch": 1.13, + "learning_rate": 8.417188366748051e-06, + "loss": 0.1894, + "step": 587 + }, + { + "epoch": 1.13, + "learning_rate": 8.386422393671934e-06, + "loss": 0.1977, + "step": 588 + }, + { + "epoch": 1.13, + "learning_rate": 8.355672094175192e-06, + "loss": 0.2107, + "step": 589 + }, + { + "epoch": 1.13, + "learning_rate": 8.324937766952638e-06, + "loss": 0.2266, + "step": 590 + }, + { + "epoch": 1.14, + "learning_rate": 8.294219710543931e-06, + "loss": 0.1574, + "step": 591 + }, + { + "epoch": 1.14, + "learning_rate": 8.263518223330698e-06, + "loss": 0.2412, + "step": 592 + }, + { + "epoch": 1.14, + "learning_rate": 8.232833603533601e-06, + "loss": 0.1782, + "step": 593 + }, + { + "epoch": 1.14, + "learning_rate": 8.202166149209475e-06, + "loss": 0.1725, + "step": 594 + }, + { + "epoch": 1.14, + "learning_rate": 8.171516158248406e-06, + "loss": 0.2064, + "step": 595 + }, + { + "epoch": 1.15, + "learning_rate": 8.140883928370855e-06, + "loss": 0.2102, + "step": 596 + }, + { + "epoch": 1.15, + "learning_rate": 8.11026975712476e-06, + "loss": 0.1976, + "step": 597 + }, + { + "epoch": 1.15, + "learning_rate": 8.079673941882639e-06, + "loss": 0.2059, + "step": 598 + }, + { + "epoch": 1.15, + "learning_rate": 8.04909677983872e-06, + "loss": 0.1822, + "step": 599 + }, + { + "epoch": 1.15, + "learning_rate": 8.018538568006027e-06, + "loss": 0.1861, + "step": 600 + }, + { + "epoch": 1.16, + "learning_rate": 7.987999603213518e-06, + "loss": 0.1705, + "step": 601 + }, + { + "epoch": 1.16, + "learning_rate": 7.957480182103198e-06, + "loss": 0.2187, + "step": 602 + }, + { + "epoch": 1.16, + "learning_rate": 7.926980601127225e-06, + "loss": 0.1835, + "step": 603 + }, + { + "epoch": 1.16, + "learning_rate": 7.896501156545044e-06, + "loss": 0.1959, + "step": 604 + }, + { + "epoch": 1.16, + "learning_rate": 7.866042144420502e-06, + "loss": 0.1378, + "step": 605 + }, + { + "epoch": 1.17, + "learning_rate": 7.835603860618973e-06, + "loss": 0.2076, + "step": 606 + }, + { + "epoch": 1.17, + "learning_rate": 7.805186600804489e-06, + "loss": 0.2367, + "step": 607 + }, + { + "epoch": 1.17, + "learning_rate": 7.774790660436857e-06, + "loss": 0.1519, + "step": 608 + }, + { + "epoch": 1.17, + "learning_rate": 7.744416334768809e-06, + "loss": 0.216, + "step": 609 + }, + { + "epoch": 1.17, + "learning_rate": 7.714063918843106e-06, + "loss": 0.1993, + "step": 610 + }, + { + "epoch": 1.18, + "learning_rate": 7.6837337074897e-06, + "loss": 0.174, + "step": 611 + }, + { + "epoch": 1.18, + "learning_rate": 7.653425995322852e-06, + "loss": 0.2305, + "step": 612 + }, + { + "epoch": 1.18, + "learning_rate": 7.623141076738271e-06, + "loss": 0.1902, + "step": 613 + }, + { + "epoch": 1.18, + "learning_rate": 7.592879245910273e-06, + "loss": 0.1773, + "step": 614 + }, + { + "epoch": 1.18, + "learning_rate": 7.562640796788893e-06, + "loss": 0.1512, + "step": 615 + }, + { + "epoch": 1.18, + "learning_rate": 7.532426023097063e-06, + "loss": 0.2326, + "step": 616 + }, + { + "epoch": 1.19, + "learning_rate": 7.50223521832773e-06, + "loss": 0.206, + "step": 617 + }, + { + "epoch": 1.19, + "learning_rate": 7.472068675741024e-06, + "loss": 0.2196, + "step": 618 + }, + { + "epoch": 1.19, + "learning_rate": 7.4419266883614e-06, + "loss": 0.1776, + "step": 619 + }, + { + "epoch": 1.19, + "learning_rate": 7.411809548974792e-06, + "loss": 0.2184, + "step": 620 + }, + { + "epoch": 1.19, + "learning_rate": 7.38171755012578e-06, + "loss": 0.1662, + "step": 621 + }, + { + "epoch": 1.2, + "learning_rate": 7.3516509841147276e-06, + "loss": 0.1931, + "step": 622 + }, + { + "epoch": 1.2, + "learning_rate": 7.321610142994971e-06, + "loss": 0.2129, + "step": 623 + }, + { + "epoch": 1.2, + "learning_rate": 7.291595318569951e-06, + "loss": 0.2201, + "step": 624 + }, + { + "epoch": 1.2, + "learning_rate": 7.2616068023904e-06, + "loss": 0.267, + "step": 625 + }, + { + "epoch": 1.2, + "learning_rate": 7.2316448857515076e-06, + "loss": 0.1923, + "step": 626 + }, + { + "epoch": 1.21, + "learning_rate": 7.201709859690081e-06, + "loss": 0.1925, + "step": 627 + }, + { + "epoch": 1.21, + "learning_rate": 7.171802014981726e-06, + "loss": 0.217, + "step": 628 + }, + { + "epoch": 1.21, + "learning_rate": 7.141921642138025e-06, + "loss": 0.203, + "step": 629 + }, + { + "epoch": 1.21, + "learning_rate": 7.112069031403704e-06, + "loss": 0.206, + "step": 630 + }, + { + "epoch": 1.21, + "learning_rate": 7.082244472753823e-06, + "loss": 0.2189, + "step": 631 + }, + { + "epoch": 1.22, + "learning_rate": 7.052448255890958e-06, + "loss": 0.2004, + "step": 632 + }, + { + "epoch": 1.22, + "learning_rate": 7.022680670242387e-06, + "loss": 0.187, + "step": 633 + }, + { + "epoch": 1.22, + "learning_rate": 6.992942004957271e-06, + "loss": 0.1921, + "step": 634 + }, + { + "epoch": 1.22, + "learning_rate": 6.963232548903853e-06, + "loss": 0.1626, + "step": 635 + }, + { + "epoch": 1.22, + "learning_rate": 6.933552590666659e-06, + "loss": 0.1767, + "step": 636 + }, + { + "epoch": 1.23, + "learning_rate": 6.903902418543671e-06, + "loss": 0.1935, + "step": 637 + }, + { + "epoch": 1.23, + "learning_rate": 6.874282320543557e-06, + "loss": 0.2, + "step": 638 + }, + { + "epoch": 1.23, + "learning_rate": 6.844692584382848e-06, + "loss": 0.2252, + "step": 639 + }, + { + "epoch": 1.23, + "learning_rate": 6.815133497483157e-06, + "loss": 0.1718, + "step": 640 + }, + { + "epoch": 1.23, + "learning_rate": 6.785605346968387e-06, + "loss": 0.1835, + "step": 641 + }, + { + "epoch": 1.23, + "learning_rate": 6.7561084196619306e-06, + "loss": 0.2316, + "step": 642 + }, + { + "epoch": 1.24, + "learning_rate": 6.7266430020839e-06, + "loss": 0.2072, + "step": 643 + }, + { + "epoch": 1.24, + "learning_rate": 6.697209380448333e-06, + "loss": 0.2091, + "step": 644 + }, + { + "epoch": 1.24, + "learning_rate": 6.66780784066041e-06, + "loss": 0.2072, + "step": 645 + }, + { + "epoch": 1.24, + "learning_rate": 6.638438668313695e-06, + "loss": 0.1658, + "step": 646 + }, + { + "epoch": 1.24, + "learning_rate": 6.609102148687333e-06, + "loss": 0.2096, + "step": 647 + }, + { + "epoch": 1.25, + "learning_rate": 6.579798566743314e-06, + "loss": 0.1684, + "step": 648 + }, + { + "epoch": 1.25, + "learning_rate": 6.550528207123667e-06, + "loss": 0.2183, + "step": 649 + }, + { + "epoch": 1.25, + "learning_rate": 6.521291354147727e-06, + "loss": 0.2208, + "step": 650 + }, + { + "epoch": 1.25, + "learning_rate": 6.492088291809355e-06, + "loss": 0.235, + "step": 651 + }, + { + "epoch": 1.25, + "learning_rate": 6.462919303774186e-06, + "loss": 0.2127, + "step": 652 + }, + { + "epoch": 1.26, + "learning_rate": 6.43378467337687e-06, + "loss": 0.1986, + "step": 653 + }, + { + "epoch": 1.26, + "learning_rate": 6.404684683618325e-06, + "loss": 0.1875, + "step": 654 + }, + { + "epoch": 1.26, + "learning_rate": 6.375619617162985e-06, + "loss": 0.2033, + "step": 655 + }, + { + "epoch": 1.26, + "learning_rate": 6.34658975633605e-06, + "loss": 0.1907, + "step": 656 + }, + { + "epoch": 1.26, + "learning_rate": 6.317595383120756e-06, + "loss": 0.234, + "step": 657 + }, + { + "epoch": 1.27, + "learning_rate": 6.288636779155621e-06, + "loss": 0.2268, + "step": 658 + }, + { + "epoch": 1.27, + "learning_rate": 6.2597142257317185e-06, + "loss": 0.1908, + "step": 659 + }, + { + "epoch": 1.27, + "learning_rate": 6.230828003789949e-06, + "loss": 0.2285, + "step": 660 + }, + { + "epoch": 1.27, + "learning_rate": 6.201978393918291e-06, + "loss": 0.1939, + "step": 661 + }, + { + "epoch": 1.27, + "learning_rate": 6.173165676349103e-06, + "loss": 0.1946, + "step": 662 + }, + { + "epoch": 1.27, + "learning_rate": 6.144390130956384e-06, + "loss": 0.2038, + "step": 663 + }, + { + "epoch": 1.28, + "learning_rate": 6.115652037253054e-06, + "loss": 0.2027, + "step": 664 + }, + { + "epoch": 1.28, + "learning_rate": 6.086951674388252e-06, + "loss": 0.2253, + "step": 665 + }, + { + "epoch": 1.28, + "learning_rate": 6.058289321144608e-06, + "loss": 0.194, + "step": 666 + }, + { + "epoch": 1.28, + "learning_rate": 6.02966525593555e-06, + "loss": 0.1677, + "step": 667 + }, + { + "epoch": 1.28, + "learning_rate": 6.001079756802592e-06, + "loss": 0.2007, + "step": 668 + }, + { + "epoch": 1.29, + "learning_rate": 5.97253310141263e-06, + "loss": 0.2115, + "step": 669 + }, + { + "epoch": 1.29, + "learning_rate": 5.944025567055251e-06, + "loss": 0.2347, + "step": 670 + }, + { + "epoch": 1.29, + "learning_rate": 5.91555743064004e-06, + "loss": 0.1728, + "step": 671 + }, + { + "epoch": 1.29, + "learning_rate": 5.887128968693887e-06, + "loss": 0.2301, + "step": 672 + }, + { + "epoch": 1.29, + "learning_rate": 5.858740457358298e-06, + "loss": 0.1849, + "step": 673 + }, + { + "epoch": 1.3, + "learning_rate": 5.830392172386723e-06, + "loss": 0.2344, + "step": 674 + }, + { + "epoch": 1.3, + "learning_rate": 5.802084389141862e-06, + "loss": 0.2254, + "step": 675 + }, + { + "epoch": 1.3, + "learning_rate": 5.773817382593008e-06, + "loss": 0.1937, + "step": 676 + }, + { + "epoch": 1.3, + "learning_rate": 5.745591427313365e-06, + "loss": 0.1956, + "step": 677 + }, + { + "epoch": 1.3, + "learning_rate": 5.717406797477371e-06, + "loss": 0.1914, + "step": 678 + }, + { + "epoch": 1.31, + "learning_rate": 5.689263766858072e-06, + "loss": 0.1453, + "step": 679 + }, + { + "epoch": 1.31, + "learning_rate": 5.66116260882442e-06, + "loss": 0.2375, + "step": 680 + }, + { + "epoch": 1.31, + "learning_rate": 5.633103596338631e-06, + "loss": 0.186, + "step": 681 + }, + { + "epoch": 1.31, + "learning_rate": 5.6050870019535496e-06, + "loss": 0.2151, + "step": 682 + }, + { + "epoch": 1.31, + "learning_rate": 5.5771130978099896e-06, + "loss": 0.2601, + "step": 683 + }, + { + "epoch": 1.32, + "learning_rate": 5.549182155634076e-06, + "loss": 0.217, + "step": 684 + }, + { + "epoch": 1.32, + "learning_rate": 5.521294446734637e-06, + "loss": 0.2154, + "step": 685 + }, + { + "epoch": 1.32, + "learning_rate": 5.493450242000546e-06, + "loss": 0.2126, + "step": 686 + }, + { + "epoch": 1.32, + "learning_rate": 5.465649811898098e-06, + "loss": 0.1736, + "step": 687 + }, + { + "epoch": 1.32, + "learning_rate": 5.43789342646837e-06, + "loss": 0.1717, + "step": 688 + }, + { + "epoch": 1.32, + "learning_rate": 5.410181355324622e-06, + "loss": 0.2172, + "step": 689 + }, + { + "epoch": 1.33, + "learning_rate": 5.382513867649663e-06, + "loss": 0.1749, + "step": 690 + }, + { + "epoch": 1.33, + "learning_rate": 5.354891232193225e-06, + "loss": 0.1913, + "step": 691 + }, + { + "epoch": 1.33, + "learning_rate": 5.32731371726938e-06, + "loss": 0.1716, + "step": 692 + }, + { + "epoch": 1.33, + "learning_rate": 5.299781590753916e-06, + "loss": 0.1678, + "step": 693 + }, + { + "epoch": 1.33, + "learning_rate": 5.2722951200817315e-06, + "loss": 0.2042, + "step": 694 + }, + { + "epoch": 1.34, + "learning_rate": 5.244854572244249e-06, + "loss": 0.2333, + "step": 695 + }, + { + "epoch": 1.34, + "learning_rate": 5.217460213786822e-06, + "loss": 0.2132, + "step": 696 + }, + { + "epoch": 1.34, + "learning_rate": 5.190112310806126e-06, + "loss": 0.174, + "step": 697 + }, + { + "epoch": 1.34, + "learning_rate": 5.1628111289476025e-06, + "loss": 0.2333, + "step": 698 + }, + { + "epoch": 1.34, + "learning_rate": 5.135556933402862e-06, + "loss": 0.1917, + "step": 699 + }, + { + "epoch": 1.35, + "learning_rate": 5.108349988907111e-06, + "loss": 0.1775, + "step": 700 + }, + { + "epoch": 1.35, + "learning_rate": 5.081190559736569e-06, + "loss": 0.1912, + "step": 701 + }, + { + "epoch": 1.35, + "learning_rate": 5.054078909705926e-06, + "loss": 0.1913, + "step": 702 + }, + { + "epoch": 1.35, + "learning_rate": 5.027015302165768e-06, + "loss": 0.1585, + "step": 703 + }, + { + "epoch": 1.35, + "learning_rate": 5.000000000000003e-06, + "loss": 0.1887, + "step": 704 + }, + { + "epoch": 1.36, + "learning_rate": 4.973033265623333e-06, + "loss": 0.2051, + "step": 705 + }, + { + "epoch": 1.36, + "learning_rate": 4.946115360978696e-06, + "loss": 0.2369, + "step": 706 + }, + { + "epoch": 1.36, + "learning_rate": 4.919246547534709e-06, + "loss": 0.2128, + "step": 707 + }, + { + "epoch": 1.36, + "learning_rate": 4.892427086283147e-06, + "loss": 0.2136, + "step": 708 + }, + { + "epoch": 1.36, + "learning_rate": 4.865657237736397e-06, + "loss": 0.1993, + "step": 709 + }, + { + "epoch": 1.37, + "learning_rate": 4.838937261924933e-06, + "loss": 0.1996, + "step": 710 + }, + { + "epoch": 1.37, + "learning_rate": 4.812267418394784e-06, + "loss": 0.1674, + "step": 711 + }, + { + "epoch": 1.37, + "learning_rate": 4.78564796620502e-06, + "loss": 0.1856, + "step": 712 + }, + { + "epoch": 1.37, + "learning_rate": 4.759079163925223e-06, + "loss": 0.23, + "step": 713 + }, + { + "epoch": 1.37, + "learning_rate": 4.732561269632992e-06, + "loss": 0.2363, + "step": 714 + }, + { + "epoch": 1.38, + "learning_rate": 4.706094540911429e-06, + "loss": 0.1998, + "step": 715 + }, + { + "epoch": 1.38, + "learning_rate": 4.679679234846636e-06, + "loss": 0.2292, + "step": 716 + }, + { + "epoch": 1.38, + "learning_rate": 4.6533156080252076e-06, + "loss": 0.1936, + "step": 717 + }, + { + "epoch": 1.38, + "learning_rate": 4.627003916531761e-06, + "loss": 0.2148, + "step": 718 + }, + { + "epoch": 1.38, + "learning_rate": 4.600744415946438e-06, + "loss": 0.1721, + "step": 719 + }, + { + "epoch": 1.38, + "learning_rate": 4.5745373613424075e-06, + "loss": 0.229, + "step": 720 + }, + { + "epoch": 1.39, + "learning_rate": 4.548383007283412e-06, + "loss": 0.1631, + "step": 721 + }, + { + "epoch": 1.39, + "learning_rate": 4.522281607821288e-06, + "loss": 0.1901, + "step": 722 + }, + { + "epoch": 1.39, + "learning_rate": 4.496233416493481e-06, + "loss": 0.2303, + "step": 723 + }, + { + "epoch": 1.39, + "learning_rate": 4.470238686320606e-06, + "loss": 0.2108, + "step": 724 + }, + { + "epoch": 1.39, + "learning_rate": 4.444297669803981e-06, + "loss": 0.2034, + "step": 725 + }, + { + "epoch": 1.4, + "learning_rate": 4.418410618923163e-06, + "loss": 0.1761, + "step": 726 + }, + { + "epoch": 1.4, + "learning_rate": 4.392577785133521e-06, + "loss": 0.2433, + "step": 727 + }, + { + "epoch": 1.4, + "learning_rate": 4.3667994193637794e-06, + "loss": 0.2341, + "step": 728 + }, + { + "epoch": 1.4, + "learning_rate": 4.3410757720135886e-06, + "loss": 0.1733, + "step": 729 + }, + { + "epoch": 1.4, + "learning_rate": 4.315407092951078e-06, + "loss": 0.1906, + "step": 730 + }, + { + "epoch": 1.41, + "learning_rate": 4.289793631510449e-06, + "loss": 0.194, + "step": 731 + }, + { + "epoch": 1.41, + "learning_rate": 4.264235636489542e-06, + "loss": 0.192, + "step": 732 + }, + { + "epoch": 1.41, + "learning_rate": 4.238733356147414e-06, + "loss": 0.1992, + "step": 733 + }, + { + "epoch": 1.41, + "learning_rate": 4.213287038201943e-06, + "loss": 0.1599, + "step": 734 + }, + { + "epoch": 1.41, + "learning_rate": 4.187896929827414e-06, + "loss": 0.2, + "step": 735 + }, + { + "epoch": 1.42, + "learning_rate": 4.162563277652104e-06, + "loss": 0.1963, + "step": 736 + }, + { + "epoch": 1.42, + "learning_rate": 4.137286327755913e-06, + "loss": 0.2077, + "step": 737 + }, + { + "epoch": 1.42, + "learning_rate": 4.112066325667954e-06, + "loss": 0.2046, + "step": 738 + }, + { + "epoch": 1.42, + "learning_rate": 4.086903516364179e-06, + "loss": 0.1972, + "step": 739 + }, + { + "epoch": 1.42, + "learning_rate": 4.061798144264986e-06, + "loss": 0.1413, + "step": 740 + }, + { + "epoch": 1.43, + "learning_rate": 4.03675045323286e-06, + "loss": 0.2233, + "step": 741 + }, + { + "epoch": 1.43, + "learning_rate": 4.0117606865699975e-06, + "loss": 0.218, + "step": 742 + }, + { + "epoch": 1.43, + "learning_rate": 3.986829087015941e-06, + "loss": 0.1825, + "step": 743 + }, + { + "epoch": 1.43, + "learning_rate": 3.961955896745224e-06, + "loss": 0.1993, + "step": 744 + }, + { + "epoch": 1.43, + "learning_rate": 3.937141357365023e-06, + "loss": 0.1426, + "step": 745 + }, + { + "epoch": 1.43, + "learning_rate": 3.912385709912794e-06, + "loss": 0.191, + "step": 746 + }, + { + "epoch": 1.44, + "learning_rate": 3.887689194853951e-06, + "loss": 0.2164, + "step": 747 + }, + { + "epoch": 1.44, + "learning_rate": 3.8630520520795275e-06, + "loss": 0.2245, + "step": 748 + }, + { + "epoch": 1.44, + "learning_rate": 3.838474520903825e-06, + "loss": 0.2123, + "step": 749 + }, + { + "epoch": 1.44, + "learning_rate": 3.8139568400621184e-06, + "loss": 0.1846, + "step": 750 + }, + { + "epoch": 1.44, + "learning_rate": 3.7894992477083226e-06, + "loss": 0.212, + "step": 751 + }, + { + "epoch": 1.45, + "learning_rate": 3.7651019814126656e-06, + "loss": 0.1747, + "step": 752 + }, + { + "epoch": 1.45, + "learning_rate": 3.7407652781594094e-06, + "loss": 0.1706, + "step": 753 + }, + { + "epoch": 1.45, + "learning_rate": 3.7164893743445274e-06, + "loss": 0.186, + "step": 754 + }, + { + "epoch": 1.45, + "learning_rate": 3.692274505773419e-06, + "loss": 0.144, + "step": 755 + }, + { + "epoch": 1.45, + "learning_rate": 3.6681209076586035e-06, + "loss": 0.181, + "step": 756 + }, + { + "epoch": 1.46, + "learning_rate": 3.644028814617454e-06, + "loss": 0.1896, + "step": 757 + }, + { + "epoch": 1.46, + "learning_rate": 3.619998460669916e-06, + "loss": 0.1952, + "step": 758 + }, + { + "epoch": 1.46, + "learning_rate": 3.5960300792362124e-06, + "loss": 0.2055, + "step": 759 + }, + { + "epoch": 1.46, + "learning_rate": 3.5721239031346067e-06, + "loss": 0.1877, + "step": 760 + }, + { + "epoch": 1.46, + "learning_rate": 3.5482801645791266e-06, + "loss": 0.1732, + "step": 761 + }, + { + "epoch": 1.47, + "learning_rate": 3.5244990951772972e-06, + "loss": 0.2262, + "step": 762 + }, + { + "epoch": 1.47, + "learning_rate": 3.5007809259279146e-06, + "loss": 0.1873, + "step": 763 + }, + { + "epoch": 1.47, + "learning_rate": 3.4771258872187917e-06, + "loss": 0.1888, + "step": 764 + }, + { + "epoch": 1.47, + "learning_rate": 3.453534208824507e-06, + "loss": 0.1957, + "step": 765 + }, + { + "epoch": 1.47, + "learning_rate": 3.4300061199041967e-06, + "loss": 0.1768, + "step": 766 + }, + { + "epoch": 1.48, + "learning_rate": 3.4065418489993118e-06, + "loss": 0.1889, + "step": 767 + }, + { + "epoch": 1.48, + "learning_rate": 3.3831416240314085e-06, + "loss": 0.179, + "step": 768 + }, + { + "epoch": 1.48, + "learning_rate": 3.3598056722999185e-06, + "loss": 0.2129, + "step": 769 + }, + { + "epoch": 1.48, + "learning_rate": 3.3365342204799613e-06, + "loss": 0.1804, + "step": 770 + }, + { + "epoch": 1.48, + "learning_rate": 3.3133274946201333e-06, + "loss": 0.2096, + "step": 771 + }, + { + "epoch": 1.48, + "learning_rate": 3.290185720140301e-06, + "loss": 0.1598, + "step": 772 + }, + { + "epoch": 1.49, + "learning_rate": 3.267109121829428e-06, + "loss": 0.1989, + "step": 773 + }, + { + "epoch": 1.49, + "learning_rate": 3.2440979238433977e-06, + "loss": 0.1883, + "step": 774 + }, + { + "epoch": 1.49, + "learning_rate": 3.221152349702802e-06, + "loss": 0.211, + "step": 775 + }, + { + "epoch": 1.49, + "learning_rate": 3.1982726222908046e-06, + "loss": 0.1586, + "step": 776 + }, + { + "epoch": 1.49, + "learning_rate": 3.1754589638509647e-06, + "loss": 0.2006, + "step": 777 + }, + { + "epoch": 1.5, + "learning_rate": 3.152711595985065e-06, + "loss": 0.2364, + "step": 778 + }, + { + "epoch": 1.5, + "learning_rate": 3.1300307396509833e-06, + "loss": 0.1697, + "step": 779 + }, + { + "epoch": 1.5, + "learning_rate": 3.10741661516053e-06, + "loss": 0.1951, + "step": 780 + }, + { + "epoch": 1.5, + "learning_rate": 3.0848694421773075e-06, + "loss": 0.1979, + "step": 781 + }, + { + "epoch": 1.5, + "learning_rate": 3.0623894397145837e-06, + "loss": 0.2081, + "step": 782 + }, + { + "epoch": 1.51, + "learning_rate": 3.0399768261331664e-06, + "loss": 0.2051, + "step": 783 + }, + { + "epoch": 1.51, + "learning_rate": 3.017631819139273e-06, + "loss": 0.1897, + "step": 784 + }, + { + "epoch": 1.51, + "learning_rate": 2.995354635782417e-06, + "loss": 0.1888, + "step": 785 + }, + { + "epoch": 1.51, + "learning_rate": 2.9731454924533086e-06, + "loss": 0.2013, + "step": 786 + }, + { + "epoch": 1.51, + "learning_rate": 2.95100460488175e-06, + "loss": 0.1524, + "step": 787 + }, + { + "epoch": 1.52, + "learning_rate": 2.9289321881345257e-06, + "loss": 0.2057, + "step": 788 + }, + { + "epoch": 1.52, + "learning_rate": 2.906928456613336e-06, + "loss": 0.2109, + "step": 789 + }, + { + "epoch": 1.52, + "learning_rate": 2.884993624052701e-06, + "loss": 0.201, + "step": 790 + }, + { + "epoch": 1.52, + "learning_rate": 2.8631279035178796e-06, + "loss": 0.1755, + "step": 791 + }, + { + "epoch": 1.52, + "learning_rate": 2.8413315074028157e-06, + "loss": 0.1988, + "step": 792 + }, + { + "epoch": 1.52, + "learning_rate": 2.819604647428067e-06, + "loss": 0.2055, + "step": 793 + }, + { + "epoch": 1.53, + "learning_rate": 2.7979475346387363e-06, + "loss": 0.1913, + "step": 794 + }, + { + "epoch": 1.53, + "learning_rate": 2.776360379402445e-06, + "loss": 0.2225, + "step": 795 + }, + { + "epoch": 1.53, + "learning_rate": 2.7548433914072736e-06, + "loss": 0.1769, + "step": 796 + }, + { + "epoch": 1.53, + "learning_rate": 2.7333967796597317e-06, + "loss": 0.162, + "step": 797 + }, + { + "epoch": 1.53, + "learning_rate": 2.712020752482717e-06, + "loss": 0.2094, + "step": 798 + }, + { + "epoch": 1.54, + "learning_rate": 2.690715517513508e-06, + "loss": 0.1883, + "step": 799 + }, + { + "epoch": 1.54, + "learning_rate": 2.669481281701739e-06, + "loss": 0.1695, + "step": 800 + }, + { + "epoch": 1.54, + "learning_rate": 2.6483182513073835e-06, + "loss": 0.1784, + "step": 801 + }, + { + "epoch": 1.54, + "learning_rate": 2.6272266318987606e-06, + "loss": 0.181, + "step": 802 + }, + { + "epoch": 1.54, + "learning_rate": 2.6062066283505404e-06, + "loss": 0.1841, + "step": 803 + }, + { + "epoch": 1.55, + "learning_rate": 2.5852584448417327e-06, + "loss": 0.1839, + "step": 804 + }, + { + "epoch": 1.55, + "learning_rate": 2.564382284853738e-06, + "loss": 0.2004, + "step": 805 + }, + { + "epoch": 1.55, + "learning_rate": 2.5435783511683444e-06, + "loss": 0.1948, + "step": 806 + }, + { + "epoch": 1.55, + "learning_rate": 2.5228468458657585e-06, + "loss": 0.2216, + "step": 807 + }, + { + "epoch": 1.55, + "learning_rate": 2.502187970322657e-06, + "loss": 0.1912, + "step": 808 + }, + { + "epoch": 1.56, + "learning_rate": 2.4816019252102274e-06, + "loss": 0.2035, + "step": 809 + }, + { + "epoch": 1.56, + "learning_rate": 2.461088910492202e-06, + "loss": 0.2033, + "step": 810 + }, + { + "epoch": 1.56, + "learning_rate": 2.440649125422937e-06, + "loss": 0.175, + "step": 811 + }, + { + "epoch": 1.56, + "learning_rate": 2.420282768545469e-06, + "loss": 0.1906, + "step": 812 + }, + { + "epoch": 1.56, + "learning_rate": 2.3999900376895844e-06, + "loss": 0.2035, + "step": 813 + }, + { + "epoch": 1.57, + "learning_rate": 2.3797711299698924e-06, + "loss": 0.2323, + "step": 814 + }, + { + "epoch": 1.57, + "learning_rate": 2.3596262417839256e-06, + "loss": 0.1857, + "step": 815 + }, + { + "epoch": 1.57, + "learning_rate": 2.339555568810221e-06, + "loss": 0.2047, + "step": 816 + }, + { + "epoch": 1.57, + "learning_rate": 2.319559306006417e-06, + "loss": 0.2609, + "step": 817 + }, + { + "epoch": 1.57, + "learning_rate": 2.2996376476073724e-06, + "loss": 0.164, + "step": 818 + }, + { + "epoch": 1.57, + "learning_rate": 2.2797907871232673e-06, + "loss": 0.1576, + "step": 819 + }, + { + "epoch": 1.58, + "learning_rate": 2.2600189173377263e-06, + "loss": 0.1792, + "step": 820 + }, + { + "epoch": 1.58, + "learning_rate": 2.240322230305951e-06, + "loss": 0.1791, + "step": 821 + }, + { + "epoch": 1.58, + "learning_rate": 2.2207009173528528e-06, + "loss": 0.1871, + "step": 822 + }, + { + "epoch": 1.58, + "learning_rate": 2.201155169071184e-06, + "loss": 0.1857, + "step": 823 + }, + { + "epoch": 1.58, + "learning_rate": 2.1816851753197023e-06, + "loss": 0.2209, + "step": 824 + }, + { + "epoch": 1.59, + "learning_rate": 2.1622911252213195e-06, + "loss": 0.1837, + "step": 825 + }, + { + "epoch": 1.59, + "learning_rate": 2.1429732071612653e-06, + "loss": 0.1861, + "step": 826 + }, + { + "epoch": 1.59, + "learning_rate": 2.1237316087852465e-06, + "loss": 0.2274, + "step": 827 + }, + { + "epoch": 1.59, + "learning_rate": 2.104566516997647e-06, + "loss": 0.1811, + "step": 828 + }, + { + "epoch": 1.59, + "learning_rate": 2.0854781179596937e-06, + "loss": 0.1937, + "step": 829 + }, + { + "epoch": 1.6, + "learning_rate": 2.0664665970876496e-06, + "loss": 0.2116, + "step": 830 + }, + { + "epoch": 1.6, + "learning_rate": 2.0475321390510262e-06, + "loss": 0.1793, + "step": 831 + }, + { + "epoch": 1.6, + "learning_rate": 2.0286749277707783e-06, + "loss": 0.1877, + "step": 832 + }, + { + "epoch": 1.6, + "learning_rate": 2.009895146417512e-06, + "loss": 0.2079, + "step": 833 + }, + { + "epoch": 1.6, + "learning_rate": 1.9911929774097216e-06, + "loss": 0.1863, + "step": 834 + }, + { + "epoch": 1.61, + "learning_rate": 1.9725686024120093e-06, + "loss": 0.1799, + "step": 835 + }, + { + "epoch": 1.61, + "learning_rate": 1.9540222023333165e-06, + "loss": 0.1986, + "step": 836 + }, + { + "epoch": 1.61, + "learning_rate": 1.9355539573251737e-06, + "loss": 0.2047, + "step": 837 + }, + { + "epoch": 1.61, + "learning_rate": 1.9171640467799478e-06, + "loss": 0.1995, + "step": 838 + }, + { + "epoch": 1.61, + "learning_rate": 1.8988526493290948e-06, + "loss": 0.1667, + "step": 839 + }, + { + "epoch": 1.62, + "learning_rate": 1.880619942841435e-06, + "loss": 0.216, + "step": 840 + }, + { + "epoch": 1.62, + "learning_rate": 1.8624661044214154e-06, + "loss": 0.2285, + "step": 841 + }, + { + "epoch": 1.62, + "learning_rate": 1.8443913104073984e-06, + "loss": 0.1693, + "step": 842 + }, + { + "epoch": 1.62, + "learning_rate": 1.826395736369937e-06, + "loss": 0.2317, + "step": 843 + }, + { + "epoch": 1.62, + "learning_rate": 1.808479557110081e-06, + "loss": 0.2045, + "step": 844 + }, + { + "epoch": 1.62, + "learning_rate": 1.7906429466576768e-06, + "loss": 0.1893, + "step": 845 + }, + { + "epoch": 1.63, + "learning_rate": 1.7728860782696666e-06, + "loss": 0.1855, + "step": 846 + }, + { + "epoch": 1.63, + "learning_rate": 1.7552091244284197e-06, + "loss": 0.1853, + "step": 847 + }, + { + "epoch": 1.63, + "learning_rate": 1.7376122568400533e-06, + "loss": 0.1925, + "step": 848 + }, + { + "epoch": 1.63, + "learning_rate": 1.7200956464327512e-06, + "loss": 0.1824, + "step": 849 + }, + { + "epoch": 1.63, + "learning_rate": 1.7026594633551252e-06, + "loss": 0.184, + "step": 850 + }, + { + "epoch": 1.64, + "learning_rate": 1.6853038769745466e-06, + "loss": 0.2051, + "step": 851 + }, + { + "epoch": 1.64, + "learning_rate": 1.6680290558755119e-06, + "loss": 0.217, + "step": 852 + }, + { + "epoch": 1.64, + "learning_rate": 1.6508351678579882e-06, + "loss": 0.1731, + "step": 853 + }, + { + "epoch": 1.64, + "learning_rate": 1.6337223799358025e-06, + "loss": 0.2135, + "step": 854 + }, + { + "epoch": 1.64, + "learning_rate": 1.6166908583350138e-06, + "loss": 0.1927, + "step": 855 + }, + { + "epoch": 1.65, + "learning_rate": 1.599740768492286e-06, + "loss": 0.2015, + "step": 856 + }, + { + "epoch": 1.65, + "learning_rate": 1.582872275053301e-06, + "loss": 0.2133, + "step": 857 + }, + { + "epoch": 1.65, + "learning_rate": 1.566085541871145e-06, + "loss": 0.1621, + "step": 858 + }, + { + "epoch": 1.65, + "learning_rate": 1.5493807320047183e-06, + "loss": 0.1993, + "step": 859 + }, + { + "epoch": 1.65, + "learning_rate": 1.5327580077171589e-06, + "loss": 0.1822, + "step": 860 + }, + { + "epoch": 1.66, + "learning_rate": 1.5162175304742633e-06, + "loss": 0.1861, + "step": 861 + }, + { + "epoch": 1.66, + "learning_rate": 1.499759460942909e-06, + "loss": 0.1826, + "step": 862 + }, + { + "epoch": 1.66, + "learning_rate": 1.4833839589895072e-06, + "loss": 0.2332, + "step": 863 + }, + { + "epoch": 1.66, + "learning_rate": 1.467091183678444e-06, + "loss": 0.1965, + "step": 864 + }, + { + "epoch": 1.66, + "learning_rate": 1.4508812932705364e-06, + "loss": 0.1706, + "step": 865 + }, + { + "epoch": 1.67, + "learning_rate": 1.4347544452214869e-06, + "loss": 0.1527, + "step": 866 + }, + { + "epoch": 1.67, + "learning_rate": 1.4187107961803704e-06, + "loss": 0.1816, + "step": 867 + }, + { + "epoch": 1.67, + "learning_rate": 1.4027505019880972e-06, + "loss": 0.2167, + "step": 868 + }, + { + "epoch": 1.67, + "learning_rate": 1.3868737176759105e-06, + "loss": 0.1854, + "step": 869 + }, + { + "epoch": 1.67, + "learning_rate": 1.3710805974638697e-06, + "loss": 0.2114, + "step": 870 + }, + { + "epoch": 1.68, + "learning_rate": 1.3553712947593655e-06, + "loss": 0.1707, + "step": 871 + }, + { + "epoch": 1.68, + "learning_rate": 1.339745962155613e-06, + "loss": 0.1876, + "step": 872 + }, + { + "epoch": 1.68, + "learning_rate": 1.324204751430186e-06, + "loss": 0.2214, + "step": 873 + }, + { + "epoch": 1.68, + "learning_rate": 1.3087478135435361e-06, + "loss": 0.1993, + "step": 874 + }, + { + "epoch": 1.68, + "learning_rate": 1.293375298637518e-06, + "loss": 0.1672, + "step": 875 + }, + { + "epoch": 1.68, + "learning_rate": 1.278087356033947e-06, + "loss": 0.1968, + "step": 876 + }, + { + "epoch": 1.69, + "learning_rate": 1.2628841342331389e-06, + "loss": 0.1739, + "step": 877 + }, + { + "epoch": 1.69, + "learning_rate": 1.2477657809124632e-06, + "loss": 0.1611, + "step": 878 + }, + { + "epoch": 1.69, + "learning_rate": 1.2327324429249232e-06, + "loss": 0.1711, + "step": 879 + }, + { + "epoch": 1.69, + "learning_rate": 1.2177842662977136e-06, + "loss": 0.2045, + "step": 880 + }, + { + "epoch": 1.69, + "learning_rate": 1.2029213962308172e-06, + "loss": 0.1839, + "step": 881 + }, + { + "epoch": 1.7, + "learning_rate": 1.188143977095576e-06, + "loss": 0.1725, + "step": 882 + }, + { + "epoch": 1.7, + "learning_rate": 1.1734521524333087e-06, + "loss": 0.1644, + "step": 883 + }, + { + "epoch": 1.7, + "learning_rate": 1.1588460649539036e-06, + "loss": 0.1676, + "step": 884 + }, + { + "epoch": 1.7, + "learning_rate": 1.1443258565344329e-06, + "loss": 0.1542, + "step": 885 + }, + { + "epoch": 1.7, + "learning_rate": 1.129891668217783e-06, + "loss": 0.2249, + "step": 886 + }, + { + "epoch": 1.71, + "learning_rate": 1.1155436402112785e-06, + "loss": 0.1742, + "step": 887 + }, + { + "epoch": 1.71, + "learning_rate": 1.1012819118853147e-06, + "loss": 0.1868, + "step": 888 + }, + { + "epoch": 1.71, + "learning_rate": 1.0871066217720173e-06, + "loss": 0.1788, + "step": 889 + }, + { + "epoch": 1.71, + "learning_rate": 1.073017907563887e-06, + "loss": 0.1971, + "step": 890 + }, + { + "epoch": 1.71, + "learning_rate": 1.0590159061124606e-06, + "loss": 0.2081, + "step": 891 + }, + { + "epoch": 1.72, + "learning_rate": 1.0451007534269908e-06, + "loss": 0.1941, + "step": 892 + }, + { + "epoch": 1.72, + "learning_rate": 1.0312725846731174e-06, + "loss": 0.2039, + "step": 893 + }, + { + "epoch": 1.72, + "learning_rate": 1.0175315341715598e-06, + "loss": 0.1995, + "step": 894 + }, + { + "epoch": 1.72, + "learning_rate": 1.003877735396801e-06, + "loss": 0.2382, + "step": 895 + }, + { + "epoch": 1.72, + "learning_rate": 9.903113209758098e-07, + "loss": 0.1926, + "step": 896 + }, + { + "epoch": 1.73, + "learning_rate": 9.768324226867353e-07, + "loss": 0.2006, + "step": 897 + }, + { + "epoch": 1.73, + "learning_rate": 9.634411714576353e-07, + "loss": 0.1786, + "step": 898 + }, + { + "epoch": 1.73, + "learning_rate": 9.501376973651999e-07, + "loss": 0.1645, + "step": 899 + }, + { + "epoch": 1.73, + "learning_rate": 9.369221296335007e-07, + "loss": 0.1837, + "step": 900 + }, + { + "epoch": 1.73, + "learning_rate": 9.237945966327133e-07, + "loss": 0.2088, + "step": 901 + }, + { + "epoch": 1.73, + "learning_rate": 9.107552258778907e-07, + "loss": 0.1978, + "step": 902 + }, + { + "epoch": 1.74, + "learning_rate": 8.978041440277163e-07, + "loss": 0.232, + "step": 903 + }, + { + "epoch": 1.74, + "learning_rate": 8.849414768832687e-07, + "loss": 0.2096, + "step": 904 + }, + { + "epoch": 1.74, + "learning_rate": 8.721673493868111e-07, + "loss": 0.2535, + "step": 905 + }, + { + "epoch": 1.74, + "learning_rate": 8.5948188562057e-07, + "loss": 0.2034, + "step": 906 + }, + { + "epoch": 1.74, + "learning_rate": 8.468852088055291e-07, + "loss": 0.25, + "step": 907 + }, + { + "epoch": 1.75, + "learning_rate": 8.343774413002382e-07, + "loss": 0.214, + "step": 908 + }, + { + "epoch": 1.75, + "learning_rate": 8.219587045996203e-07, + "loss": 0.1842, + "step": 909 + }, + { + "epoch": 1.75, + "learning_rate": 8.096291193337935e-07, + "loss": 0.1769, + "step": 910 + }, + { + "epoch": 1.75, + "learning_rate": 7.973888052668943e-07, + "loss": 0.2118, + "step": 911 + }, + { + "epoch": 1.75, + "learning_rate": 7.852378812959227e-07, + "loss": 0.1779, + "step": 912 + }, + { + "epoch": 1.76, + "learning_rate": 7.731764654495832e-07, + "loss": 0.2335, + "step": 913 + }, + { + "epoch": 1.76, + "learning_rate": 7.612046748871327e-07, + "loss": 0.1741, + "step": 914 + }, + { + "epoch": 1.76, + "learning_rate": 7.493226258972519e-07, + "loss": 0.1666, + "step": 915 + }, + { + "epoch": 1.76, + "learning_rate": 7.375304338969135e-07, + "loss": 0.19, + "step": 916 + }, + { + "epoch": 1.76, + "learning_rate": 7.258282134302519e-07, + "loss": 0.1602, + "step": 917 + }, + { + "epoch": 1.77, + "learning_rate": 7.142160781674645e-07, + "loss": 0.1518, + "step": 918 + }, + { + "epoch": 1.77, + "learning_rate": 7.026941409036991e-07, + "loss": 0.2394, + "step": 919 + }, + { + "epoch": 1.77, + "learning_rate": 6.912625135579587e-07, + "loss": 0.2053, + "step": 920 + }, + { + "epoch": 1.77, + "learning_rate": 6.799213071720156e-07, + "loss": 0.1823, + "step": 921 + }, + { + "epoch": 1.77, + "learning_rate": 6.68670631909335e-07, + "loss": 0.1832, + "step": 922 + }, + { + "epoch": 1.77, + "learning_rate": 6.57510597054003e-07, + "loss": 0.165, + "step": 923 + }, + { + "epoch": 1.78, + "learning_rate": 6.464413110096601e-07, + "loss": 0.205, + "step": 924 + }, + { + "epoch": 1.78, + "learning_rate": 6.354628812984576e-07, + "loss": 0.1882, + "step": 925 + }, + { + "epoch": 1.78, + "learning_rate": 6.245754145600091e-07, + "loss": 0.1562, + "step": 926 + }, + { + "epoch": 1.78, + "learning_rate": 6.137790165503499e-07, + "loss": 0.2059, + "step": 927 + }, + { + "epoch": 1.78, + "learning_rate": 6.030737921409169e-07, + "loss": 0.2044, + "step": 928 + }, + { + "epoch": 1.79, + "learning_rate": 5.924598453175278e-07, + "loss": 0.1807, + "step": 929 + }, + { + "epoch": 1.79, + "learning_rate": 5.819372791793654e-07, + "loss": 0.1813, + "step": 930 + }, + { + "epoch": 1.79, + "learning_rate": 5.715061959379875e-07, + "loss": 0.1779, + "step": 931 + }, + { + "epoch": 1.79, + "learning_rate": 5.611666969163243e-07, + "loss": 0.2346, + "step": 932 + }, + { + "epoch": 1.79, + "learning_rate": 5.509188825476964e-07, + "loss": 0.201, + "step": 933 + }, + { + "epoch": 1.8, + "learning_rate": 5.407628523748398e-07, + "loss": 0.1885, + "step": 934 + }, + { + "epoch": 1.8, + "learning_rate": 5.306987050489442e-07, + "loss": 0.2107, + "step": 935 + }, + { + "epoch": 1.8, + "learning_rate": 5.207265383286831e-07, + "loss": 0.1596, + "step": 936 + }, + { + "epoch": 1.8, + "learning_rate": 5.108464490792753e-07, + "loss": 0.201, + "step": 937 + }, + { + "epoch": 1.8, + "learning_rate": 5.010585332715401e-07, + "loss": 0.2232, + "step": 938 + }, + { + "epoch": 1.81, + "learning_rate": 4.913628859809638e-07, + "loss": 0.2225, + "step": 939 + }, + { + "epoch": 1.81, + "learning_rate": 4.817596013867765e-07, + "loss": 0.2014, + "step": 940 + }, + { + "epoch": 1.81, + "learning_rate": 4.7224877277103673e-07, + "loss": 0.2343, + "step": 941 + }, + { + "epoch": 1.81, + "learning_rate": 4.628304925177318e-07, + "loss": 0.2072, + "step": 942 + }, + { + "epoch": 1.81, + "learning_rate": 4.535048521118668e-07, + "loss": 0.2328, + "step": 943 + }, + { + "epoch": 1.82, + "learning_rate": 4.4427194213859216e-07, + "loss": 0.1782, + "step": 944 + }, + { + "epoch": 1.82, + "learning_rate": 4.351318522823134e-07, + "loss": 0.1995, + "step": 945 + }, + { + "epoch": 1.82, + "learning_rate": 4.2608467132581934e-07, + "loss": 0.1822, + "step": 946 + }, + { + "epoch": 1.82, + "learning_rate": 4.171304871494264e-07, + "loss": 0.1847, + "step": 947 + }, + { + "epoch": 1.82, + "learning_rate": 4.082693867301224e-07, + "loss": 0.173, + "step": 948 + }, + { + "epoch": 1.82, + "learning_rate": 3.99501456140714e-07, + "loss": 0.2425, + "step": 949 + }, + { + "epoch": 1.83, + "learning_rate": 3.908267805490051e-07, + "loss": 0.2184, + "step": 950 + }, + { + "epoch": 1.83, + "learning_rate": 3.8224544421695766e-07, + "loss": 0.2342, + "step": 951 + }, + { + "epoch": 1.83, + "learning_rate": 3.7375753049987974e-07, + "loss": 0.2128, + "step": 952 + }, + { + "epoch": 1.83, + "learning_rate": 3.6536312184560996e-07, + "loss": 0.1572, + "step": 953 + }, + { + "epoch": 1.83, + "learning_rate": 3.570622997937234e-07, + "loss": 0.1766, + "step": 954 + }, + { + "epoch": 1.84, + "learning_rate": 3.4885514497473574e-07, + "loss": 0.2025, + "step": 955 + }, + { + "epoch": 1.84, + "learning_rate": 3.4074173710931804e-07, + "loss": 0.2631, + "step": 956 + }, + { + "epoch": 1.84, + "learning_rate": 3.327221550075266e-07, + "loss": 0.1534, + "step": 957 + }, + { + "epoch": 1.84, + "learning_rate": 3.247964765680389e-07, + "loss": 0.2218, + "step": 958 + }, + { + "epoch": 1.84, + "learning_rate": 3.1696477877738664e-07, + "loss": 0.2127, + "step": 959 + }, + { + "epoch": 1.85, + "learning_rate": 3.0922713770922155e-07, + "loss": 0.214, + "step": 960 + }, + { + "epoch": 1.85, + "learning_rate": 3.0158362852356627e-07, + "loss": 0.201, + "step": 961 + }, + { + "epoch": 1.85, + "learning_rate": 2.940343254660905e-07, + "loss": 0.1895, + "step": 962 + }, + { + "epoch": 1.85, + "learning_rate": 2.865793018673857e-07, + "loss": 0.1845, + "step": 963 + }, + { + "epoch": 1.85, + "learning_rate": 2.7921863014225504e-07, + "loss": 0.1834, + "step": 964 + }, + { + "epoch": 1.86, + "learning_rate": 2.7195238178900685e-07, + "loss": 0.2098, + "step": 965 + }, + { + "epoch": 1.86, + "learning_rate": 2.6478062738876654e-07, + "loss": 0.215, + "step": 966 + }, + { + "epoch": 1.86, + "learning_rate": 2.577034366047848e-07, + "loss": 0.1811, + "step": 967 + }, + { + "epoch": 1.86, + "learning_rate": 2.507208781817638e-07, + "loss": 0.1579, + "step": 968 + }, + { + "epoch": 1.86, + "learning_rate": 2.4383301994518773e-07, + "loss": 0.2576, + "step": 969 + }, + { + "epoch": 1.87, + "learning_rate": 2.370399288006664e-07, + "loss": 0.1737, + "step": 970 + }, + { + "epoch": 1.87, + "learning_rate": 2.3034167073328283e-07, + "loss": 0.1905, + "step": 971 + }, + { + "epoch": 1.87, + "learning_rate": 2.2373831080695463e-07, + "loss": 0.17, + "step": 972 + }, + { + "epoch": 1.87, + "learning_rate": 2.1722991316380005e-07, + "loss": 0.1898, + "step": 973 + }, + { + "epoch": 1.87, + "learning_rate": 2.1081654102351634e-07, + "loss": 0.1597, + "step": 974 + }, + { + "epoch": 1.88, + "learning_rate": 2.0449825668276246e-07, + "loss": 0.2054, + "step": 975 + }, + { + "epoch": 1.88, + "learning_rate": 1.9827512151456175e-07, + "loss": 0.2174, + "step": 976 + }, + { + "epoch": 1.88, + "learning_rate": 1.921471959676957e-07, + "loss": 0.1657, + "step": 977 + }, + { + "epoch": 1.88, + "learning_rate": 1.8611453956612346e-07, + "loss": 0.1931, + "step": 978 + }, + { + "epoch": 1.88, + "learning_rate": 1.8017721090840324e-07, + "loss": 0.1814, + "step": 979 + }, + { + "epoch": 1.88, + "learning_rate": 1.7433526766711727e-07, + "loss": 0.1865, + "step": 980 + }, + { + "epoch": 1.89, + "learning_rate": 1.6858876658832235e-07, + "loss": 0.201, + "step": 981 + }, + { + "epoch": 1.89, + "learning_rate": 1.629377634909868e-07, + "loss": 0.2141, + "step": 982 + }, + { + "epoch": 1.89, + "learning_rate": 1.5738231326645758e-07, + "loss": 0.2043, + "step": 983 + }, + { + "epoch": 1.89, + "learning_rate": 1.519224698779198e-07, + "loss": 0.2361, + "step": 984 + }, + { + "epoch": 1.89, + "learning_rate": 1.465582863598791e-07, + "loss": 0.1925, + "step": 985 + }, + { + "epoch": 1.9, + "learning_rate": 1.4128981481764115e-07, + "loss": 0.196, + "step": 986 + }, + { + "epoch": 1.9, + "learning_rate": 1.3611710642681076e-07, + "loss": 0.1608, + "step": 987 + }, + { + "epoch": 1.9, + "learning_rate": 1.3104021143278911e-07, + "loss": 0.1536, + "step": 988 + }, + { + "epoch": 1.9, + "learning_rate": 1.2605917915028743e-07, + "loss": 0.1811, + "step": 989 + }, + { + "epoch": 1.9, + "learning_rate": 1.2117405796285286e-07, + "loss": 0.2412, + "step": 990 + }, + { + "epoch": 1.91, + "learning_rate": 1.1638489532239339e-07, + "loss": 0.1897, + "step": 991 + }, + { + "epoch": 1.91, + "learning_rate": 1.1169173774871478e-07, + "loss": 0.1526, + "step": 992 + }, + { + "epoch": 1.91, + "learning_rate": 1.0709463082907545e-07, + "loss": 0.1847, + "step": 993 + }, + { + "epoch": 1.91, + "learning_rate": 1.0259361921774014e-07, + "loss": 0.188, + "step": 994 + }, + { + "epoch": 1.91, + "learning_rate": 9.818874663554356e-08, + "loss": 0.2109, + "step": 995 + }, + { + "epoch": 1.92, + "learning_rate": 9.388005586947191e-08, + "loss": 0.1913, + "step": 996 + }, + { + "epoch": 1.92, + "learning_rate": 8.966758877224202e-08, + "loss": 0.2325, + "step": 997 + }, + { + "epoch": 1.92, + "learning_rate": 8.555138626189619e-08, + "loss": 0.1621, + "step": 998 + }, + { + "epoch": 1.92, + "learning_rate": 8.153148832140467e-08, + "loss": 0.1824, + "step": 999 + }, + { + "epoch": 1.92, + "learning_rate": 7.760793399827937e-08, + "loss": 0.1909, + "step": 1000 + } + ], + "logging_steps": 1.0, + "max_steps": 1040, + "num_input_tokens_seen": 0, + "num_train_epochs": 2, + "save_steps": 100, + "total_flos": 52178597019648.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +}