diff --git "a/checkpoint-1188/trainer_state.json" "b/checkpoint-1188/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-1188/trainer_state.json" @@ -0,0 +1,7171 @@ +{ + "best_metric": 0.3537317216396332, + "best_model_checkpoint": "accent_classification/checkpoint-792", + "epoch": 3.0, + "global_step": 1188, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 6.000000000000001e-07, + "loss": 0.6956, + "step": 1 + }, + { + "epoch": 0.01, + "learning_rate": 1.2000000000000002e-06, + "loss": 0.6979, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.8e-06, + "loss": 0.7014, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 2.4000000000000003e-06, + "loss": 0.6984, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 3e-06, + "loss": 0.6978, + "step": 5 + }, + { + "epoch": 0.02, + "learning_rate": 3.6e-06, + "loss": 0.6783, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 4.2000000000000004e-06, + "loss": 0.6956, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 4.800000000000001e-06, + "loss": 0.6994, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 5.4e-06, + "loss": 0.6902, + "step": 9 + }, + { + "epoch": 0.03, + "learning_rate": 6e-06, + "loss": 0.6937, + "step": 10 + }, + { + "epoch": 0.03, + "learning_rate": 6.6e-06, + "loss": 0.6497, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 7.2e-06, + "loss": 0.6911, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 7.8e-06, + "loss": 0.6904, + "step": 13 + }, + { + "epoch": 0.04, + "learning_rate": 8.400000000000001e-06, + "loss": 0.6854, + "step": 14 + }, + { + "epoch": 0.04, + "learning_rate": 9e-06, + "loss": 0.6843, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 9.600000000000001e-06, + "loss": 0.6851, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 1.02e-05, + "loss": 0.6733, + "step": 17 + }, + { + "epoch": 0.05, + "learning_rate": 1.08e-05, + "loss": 0.6819, + "step": 18 + }, + { + "epoch": 0.05, + "learning_rate": 1.1400000000000001e-05, + "loss": 0.681, + "step": 19 + }, + { + "epoch": 0.05, + "learning_rate": 1.2e-05, + "loss": 0.6998, + "step": 20 + }, + { + "epoch": 0.05, + "learning_rate": 1.26e-05, + "loss": 0.6743, + "step": 21 + }, + { + "epoch": 0.06, + "learning_rate": 1.32e-05, + "loss": 0.6818, + "step": 22 + }, + { + "epoch": 0.06, + "learning_rate": 1.3800000000000002e-05, + "loss": 0.5331, + "step": 23 + }, + { + "epoch": 0.06, + "learning_rate": 1.44e-05, + "loss": 0.6681, + "step": 24 + }, + { + "epoch": 0.06, + "learning_rate": 1.5e-05, + "loss": 0.6955, + "step": 25 + }, + { + "epoch": 0.07, + "learning_rate": 1.56e-05, + "loss": 0.7, + "step": 26 + }, + { + "epoch": 0.07, + "learning_rate": 1.62e-05, + "loss": 0.6975, + "step": 27 + }, + { + "epoch": 0.07, + "learning_rate": 1.6800000000000002e-05, + "loss": 0.6249, + "step": 28 + }, + { + "epoch": 0.07, + "learning_rate": 1.74e-05, + "loss": 0.6979, + "step": 29 + }, + { + "epoch": 0.08, + "learning_rate": 1.8e-05, + "loss": 0.6076, + "step": 30 + }, + { + "epoch": 0.08, + "learning_rate": 1.86e-05, + "loss": 0.6091, + "step": 31 + }, + { + "epoch": 0.08, + "learning_rate": 1.9200000000000003e-05, + "loss": 0.6438, + "step": 32 + }, + { + "epoch": 0.08, + "learning_rate": 1.98e-05, + "loss": 0.6624, + "step": 33 + }, + { + "epoch": 0.09, + "learning_rate": 2.04e-05, + "loss": 0.6452, + "step": 34 + }, + { + "epoch": 0.09, + "learning_rate": 2.1e-05, + "loss": 0.6963, + "step": 35 + }, + { + "epoch": 0.09, + "learning_rate": 2.16e-05, + "loss": 0.758, + "step": 36 + }, + { + "epoch": 0.09, + "learning_rate": 2.22e-05, + "loss": 0.6471, + "step": 37 + }, + { + "epoch": 0.1, + "learning_rate": 2.2800000000000002e-05, + "loss": 0.6313, + "step": 38 + }, + { + "epoch": 0.1, + "learning_rate": 2.3400000000000003e-05, + "loss": 0.7019, + "step": 39 + }, + { + "epoch": 0.1, + "learning_rate": 2.4e-05, + "loss": 0.6336, + "step": 40 + }, + { + "epoch": 0.1, + "learning_rate": 2.4599999999999998e-05, + "loss": 0.7091, + "step": 41 + }, + { + "epoch": 0.11, + "learning_rate": 2.52e-05, + "loss": 0.701, + "step": 42 + }, + { + "epoch": 0.11, + "learning_rate": 2.58e-05, + "loss": 0.7036, + "step": 43 + }, + { + "epoch": 0.11, + "learning_rate": 2.64e-05, + "loss": 0.7073, + "step": 44 + }, + { + "epoch": 0.11, + "learning_rate": 2.7000000000000002e-05, + "loss": 0.614, + "step": 45 + }, + { + "epoch": 0.12, + "learning_rate": 2.7600000000000003e-05, + "loss": 0.7543, + "step": 46 + }, + { + "epoch": 0.12, + "learning_rate": 2.8199999999999998e-05, + "loss": 0.538, + "step": 47 + }, + { + "epoch": 0.12, + "learning_rate": 2.88e-05, + "loss": 0.5179, + "step": 48 + }, + { + "epoch": 0.12, + "learning_rate": 2.94e-05, + "loss": 0.6164, + "step": 49 + }, + { + "epoch": 0.13, + "learning_rate": 3e-05, + "loss": 0.6093, + "step": 50 + }, + { + "epoch": 0.13, + "learning_rate": 2.99923273657289e-05, + "loss": 0.6983, + "step": 51 + }, + { + "epoch": 0.13, + "learning_rate": 2.9984654731457804e-05, + "loss": 0.6069, + "step": 52 + }, + { + "epoch": 0.13, + "learning_rate": 2.9976982097186702e-05, + "loss": 0.5933, + "step": 53 + }, + { + "epoch": 0.14, + "learning_rate": 2.99693094629156e-05, + "loss": 0.552, + "step": 54 + }, + { + "epoch": 0.14, + "learning_rate": 2.9961636828644502e-05, + "loss": 0.5865, + "step": 55 + }, + { + "epoch": 0.14, + "learning_rate": 2.9953964194373404e-05, + "loss": 0.7146, + "step": 56 + }, + { + "epoch": 0.14, + "learning_rate": 2.9946291560102302e-05, + "loss": 0.5591, + "step": 57 + }, + { + "epoch": 0.15, + "learning_rate": 2.9938618925831203e-05, + "loss": 0.7366, + "step": 58 + }, + { + "epoch": 0.15, + "learning_rate": 2.9930946291560102e-05, + "loss": 0.7006, + "step": 59 + }, + { + "epoch": 0.15, + "learning_rate": 2.9923273657289003e-05, + "loss": 0.4148, + "step": 60 + }, + { + "epoch": 0.15, + "learning_rate": 2.9915601023017905e-05, + "loss": 0.9938, + "step": 61 + }, + { + "epoch": 0.16, + "learning_rate": 2.9907928388746803e-05, + "loss": 0.911, + "step": 62 + }, + { + "epoch": 0.16, + "learning_rate": 2.99002557544757e-05, + "loss": 0.5682, + "step": 63 + }, + { + "epoch": 0.16, + "learning_rate": 2.9892583120204606e-05, + "loss": 0.5833, + "step": 64 + }, + { + "epoch": 0.16, + "learning_rate": 2.9884910485933505e-05, + "loss": 0.7237, + "step": 65 + }, + { + "epoch": 0.17, + "learning_rate": 2.9877237851662403e-05, + "loss": 0.4013, + "step": 66 + }, + { + "epoch": 0.17, + "learning_rate": 2.9869565217391304e-05, + "loss": 0.9695, + "step": 67 + }, + { + "epoch": 0.17, + "learning_rate": 2.9861892583120206e-05, + "loss": 0.568, + "step": 68 + }, + { + "epoch": 0.17, + "learning_rate": 2.9854219948849104e-05, + "loss": 0.5697, + "step": 69 + }, + { + "epoch": 0.18, + "learning_rate": 2.9846547314578006e-05, + "loss": 0.7675, + "step": 70 + }, + { + "epoch": 0.18, + "learning_rate": 2.9838874680306904e-05, + "loss": 0.8831, + "step": 71 + }, + { + "epoch": 0.18, + "learning_rate": 2.9831202046035806e-05, + "loss": 0.7008, + "step": 72 + }, + { + "epoch": 0.18, + "learning_rate": 2.9823529411764707e-05, + "loss": 0.7085, + "step": 73 + }, + { + "epoch": 0.19, + "learning_rate": 2.9815856777493606e-05, + "loss": 0.5374, + "step": 74 + }, + { + "epoch": 0.19, + "learning_rate": 2.9808184143222507e-05, + "loss": 0.4131, + "step": 75 + }, + { + "epoch": 0.19, + "learning_rate": 2.980051150895141e-05, + "loss": 0.7309, + "step": 76 + }, + { + "epoch": 0.19, + "learning_rate": 2.9792838874680307e-05, + "loss": 0.4279, + "step": 77 + }, + { + "epoch": 0.2, + "learning_rate": 2.978516624040921e-05, + "loss": 0.5813, + "step": 78 + }, + { + "epoch": 0.2, + "learning_rate": 2.977749360613811e-05, + "loss": 0.6276, + "step": 79 + }, + { + "epoch": 0.2, + "learning_rate": 2.976982097186701e-05, + "loss": 0.7892, + "step": 80 + }, + { + "epoch": 0.2, + "learning_rate": 2.976214833759591e-05, + "loss": 0.7134, + "step": 81 + }, + { + "epoch": 0.21, + "learning_rate": 2.9754475703324808e-05, + "loss": 0.3682, + "step": 82 + }, + { + "epoch": 0.21, + "learning_rate": 2.974680306905371e-05, + "loss": 0.5562, + "step": 83 + }, + { + "epoch": 0.21, + "learning_rate": 2.973913043478261e-05, + "loss": 0.7158, + "step": 84 + }, + { + "epoch": 0.21, + "learning_rate": 2.973145780051151e-05, + "loss": 0.524, + "step": 85 + }, + { + "epoch": 0.22, + "learning_rate": 2.9723785166240408e-05, + "loss": 0.3372, + "step": 86 + }, + { + "epoch": 0.22, + "learning_rate": 2.9716112531969313e-05, + "loss": 0.4979, + "step": 87 + }, + { + "epoch": 0.22, + "learning_rate": 2.970843989769821e-05, + "loss": 0.3177, + "step": 88 + }, + { + "epoch": 0.22, + "learning_rate": 2.970076726342711e-05, + "loss": 0.3488, + "step": 89 + }, + { + "epoch": 0.23, + "learning_rate": 2.969309462915601e-05, + "loss": 0.5158, + "step": 90 + }, + { + "epoch": 0.23, + "learning_rate": 2.9685421994884913e-05, + "loss": 0.3208, + "step": 91 + }, + { + "epoch": 0.23, + "learning_rate": 2.967774936061381e-05, + "loss": 0.6654, + "step": 92 + }, + { + "epoch": 0.23, + "learning_rate": 2.9670076726342712e-05, + "loss": 0.5581, + "step": 93 + }, + { + "epoch": 0.24, + "learning_rate": 2.966240409207161e-05, + "loss": 0.7456, + "step": 94 + }, + { + "epoch": 0.24, + "learning_rate": 2.9654731457800512e-05, + "loss": 0.4437, + "step": 95 + }, + { + "epoch": 0.24, + "learning_rate": 2.9647058823529414e-05, + "loss": 0.5525, + "step": 96 + }, + { + "epoch": 0.24, + "learning_rate": 2.9639386189258312e-05, + "loss": 0.6673, + "step": 97 + }, + { + "epoch": 0.25, + "learning_rate": 2.963171355498721e-05, + "loss": 0.435, + "step": 98 + }, + { + "epoch": 0.25, + "learning_rate": 2.9624040920716115e-05, + "loss": 0.7415, + "step": 99 + }, + { + "epoch": 0.25, + "learning_rate": 2.9616368286445014e-05, + "loss": 0.2981, + "step": 100 + }, + { + "epoch": 0.26, + "learning_rate": 2.9608695652173912e-05, + "loss": 0.5179, + "step": 101 + }, + { + "epoch": 0.26, + "learning_rate": 2.9601023017902817e-05, + "loss": 0.4005, + "step": 102 + }, + { + "epoch": 0.26, + "learning_rate": 2.9593350383631715e-05, + "loss": 0.4598, + "step": 103 + }, + { + "epoch": 0.26, + "learning_rate": 2.9585677749360613e-05, + "loss": 0.2553, + "step": 104 + }, + { + "epoch": 0.27, + "learning_rate": 2.9578005115089515e-05, + "loss": 0.4302, + "step": 105 + }, + { + "epoch": 0.27, + "learning_rate": 2.9570332480818416e-05, + "loss": 0.7894, + "step": 106 + }, + { + "epoch": 0.27, + "learning_rate": 2.9562659846547315e-05, + "loss": 0.213, + "step": 107 + }, + { + "epoch": 0.27, + "learning_rate": 2.9554987212276216e-05, + "loss": 0.5507, + "step": 108 + }, + { + "epoch": 0.28, + "learning_rate": 2.9547314578005115e-05, + "loss": 0.7676, + "step": 109 + }, + { + "epoch": 0.28, + "learning_rate": 2.9539641943734016e-05, + "loss": 0.3418, + "step": 110 + }, + { + "epoch": 0.28, + "learning_rate": 2.9531969309462918e-05, + "loss": 0.8533, + "step": 111 + }, + { + "epoch": 0.28, + "learning_rate": 2.9524296675191816e-05, + "loss": 0.3659, + "step": 112 + }, + { + "epoch": 0.29, + "learning_rate": 2.9516624040920714e-05, + "loss": 0.6482, + "step": 113 + }, + { + "epoch": 0.29, + "learning_rate": 2.950895140664962e-05, + "loss": 0.5484, + "step": 114 + }, + { + "epoch": 0.29, + "learning_rate": 2.9501278772378517e-05, + "loss": 0.4508, + "step": 115 + }, + { + "epoch": 0.29, + "learning_rate": 2.9493606138107416e-05, + "loss": 0.4401, + "step": 116 + }, + { + "epoch": 0.3, + "learning_rate": 2.9485933503836317e-05, + "loss": 0.5455, + "step": 117 + }, + { + "epoch": 0.3, + "learning_rate": 2.947826086956522e-05, + "loss": 0.722, + "step": 118 + }, + { + "epoch": 0.3, + "learning_rate": 2.9470588235294117e-05, + "loss": 0.2874, + "step": 119 + }, + { + "epoch": 0.3, + "learning_rate": 2.946291560102302e-05, + "loss": 0.5973, + "step": 120 + }, + { + "epoch": 0.31, + "learning_rate": 2.9455242966751917e-05, + "loss": 0.5898, + "step": 121 + }, + { + "epoch": 0.31, + "learning_rate": 2.944757033248082e-05, + "loss": 1.0125, + "step": 122 + }, + { + "epoch": 0.31, + "learning_rate": 2.943989769820972e-05, + "loss": 0.2511, + "step": 123 + }, + { + "epoch": 0.31, + "learning_rate": 2.943222506393862e-05, + "loss": 0.545, + "step": 124 + }, + { + "epoch": 0.32, + "learning_rate": 2.942455242966752e-05, + "loss": 0.593, + "step": 125 + }, + { + "epoch": 0.32, + "learning_rate": 2.941687979539642e-05, + "loss": 0.2319, + "step": 126 + }, + { + "epoch": 0.32, + "learning_rate": 2.940920716112532e-05, + "loss": 0.2215, + "step": 127 + }, + { + "epoch": 0.32, + "learning_rate": 2.9401534526854218e-05, + "loss": 0.1964, + "step": 128 + }, + { + "epoch": 0.33, + "learning_rate": 2.9393861892583123e-05, + "loss": 0.1471, + "step": 129 + }, + { + "epoch": 0.33, + "learning_rate": 2.938618925831202e-05, + "loss": 1.5965, + "step": 130 + }, + { + "epoch": 0.33, + "learning_rate": 2.9378516624040923e-05, + "loss": 1.0772, + "step": 131 + }, + { + "epoch": 0.33, + "learning_rate": 2.937084398976982e-05, + "loss": 0.2005, + "step": 132 + }, + { + "epoch": 0.34, + "learning_rate": 2.9363171355498723e-05, + "loss": 0.9628, + "step": 133 + }, + { + "epoch": 0.34, + "learning_rate": 2.9355498721227624e-05, + "loss": 0.1503, + "step": 134 + }, + { + "epoch": 0.34, + "learning_rate": 2.9347826086956523e-05, + "loss": 0.6201, + "step": 135 + }, + { + "epoch": 0.34, + "learning_rate": 2.934015345268542e-05, + "loss": 0.6094, + "step": 136 + }, + { + "epoch": 0.35, + "learning_rate": 2.9332480818414326e-05, + "loss": 1.385, + "step": 137 + }, + { + "epoch": 0.35, + "learning_rate": 2.9324808184143224e-05, + "loss": 0.1552, + "step": 138 + }, + { + "epoch": 0.35, + "learning_rate": 2.9317135549872122e-05, + "loss": 0.5828, + "step": 139 + }, + { + "epoch": 0.35, + "learning_rate": 2.9309462915601024e-05, + "loss": 0.6018, + "step": 140 + }, + { + "epoch": 0.36, + "learning_rate": 2.9301790281329925e-05, + "loss": 1.0614, + "step": 141 + }, + { + "epoch": 0.36, + "learning_rate": 2.9294117647058824e-05, + "loss": 0.566, + "step": 142 + }, + { + "epoch": 0.36, + "learning_rate": 2.9286445012787725e-05, + "loss": 0.5958, + "step": 143 + }, + { + "epoch": 0.36, + "learning_rate": 2.9278772378516624e-05, + "loss": 0.5838, + "step": 144 + }, + { + "epoch": 0.37, + "learning_rate": 2.9271099744245525e-05, + "loss": 0.5909, + "step": 145 + }, + { + "epoch": 0.37, + "learning_rate": 2.9263427109974427e-05, + "loss": 0.5862, + "step": 146 + }, + { + "epoch": 0.37, + "learning_rate": 2.9255754475703325e-05, + "loss": 0.2031, + "step": 147 + }, + { + "epoch": 0.37, + "learning_rate": 2.9248081841432223e-05, + "loss": 0.1995, + "step": 148 + }, + { + "epoch": 0.38, + "learning_rate": 2.9240409207161128e-05, + "loss": 0.24, + "step": 149 + }, + { + "epoch": 0.38, + "learning_rate": 2.9232736572890026e-05, + "loss": 0.5845, + "step": 150 + }, + { + "epoch": 0.38, + "learning_rate": 2.9225063938618925e-05, + "loss": 0.964, + "step": 151 + }, + { + "epoch": 0.38, + "learning_rate": 2.921739130434783e-05, + "loss": 0.9595, + "step": 152 + }, + { + "epoch": 0.39, + "learning_rate": 2.9209718670076728e-05, + "loss": 0.2033, + "step": 153 + }, + { + "epoch": 0.39, + "learning_rate": 2.9202046035805626e-05, + "loss": 0.213, + "step": 154 + }, + { + "epoch": 0.39, + "learning_rate": 2.9194373401534528e-05, + "loss": 0.2042, + "step": 155 + }, + { + "epoch": 0.39, + "learning_rate": 2.918670076726343e-05, + "loss": 0.5783, + "step": 156 + }, + { + "epoch": 0.4, + "learning_rate": 2.9179028132992328e-05, + "loss": 1.0822, + "step": 157 + }, + { + "epoch": 0.4, + "learning_rate": 2.917135549872123e-05, + "loss": 1.2643, + "step": 158 + }, + { + "epoch": 0.4, + "learning_rate": 2.9163682864450127e-05, + "loss": 0.2593, + "step": 159 + }, + { + "epoch": 0.4, + "learning_rate": 2.915601023017903e-05, + "loss": 0.5783, + "step": 160 + }, + { + "epoch": 0.41, + "learning_rate": 2.914833759590793e-05, + "loss": 0.5721, + "step": 161 + }, + { + "epoch": 0.41, + "learning_rate": 2.914066496163683e-05, + "loss": 0.5808, + "step": 162 + }, + { + "epoch": 0.41, + "learning_rate": 2.9132992327365727e-05, + "loss": 1.2578, + "step": 163 + }, + { + "epoch": 0.41, + "learning_rate": 2.9125319693094632e-05, + "loss": 0.5709, + "step": 164 + }, + { + "epoch": 0.42, + "learning_rate": 2.911764705882353e-05, + "loss": 0.2159, + "step": 165 + }, + { + "epoch": 0.42, + "learning_rate": 2.910997442455243e-05, + "loss": 0.2329, + "step": 166 + }, + { + "epoch": 0.42, + "learning_rate": 2.910230179028133e-05, + "loss": 0.926, + "step": 167 + }, + { + "epoch": 0.42, + "learning_rate": 2.9094629156010232e-05, + "loss": 0.9095, + "step": 168 + }, + { + "epoch": 0.43, + "learning_rate": 2.908695652173913e-05, + "loss": 0.5622, + "step": 169 + }, + { + "epoch": 0.43, + "learning_rate": 2.907928388746803e-05, + "loss": 0.5703, + "step": 170 + }, + { + "epoch": 0.43, + "learning_rate": 2.907161125319693e-05, + "loss": 0.5669, + "step": 171 + }, + { + "epoch": 0.43, + "learning_rate": 2.906393861892583e-05, + "loss": 0.2637, + "step": 172 + }, + { + "epoch": 0.44, + "learning_rate": 2.9056265984654733e-05, + "loss": 1.1077, + "step": 173 + }, + { + "epoch": 0.44, + "learning_rate": 2.904859335038363e-05, + "loss": 0.5653, + "step": 174 + }, + { + "epoch": 0.44, + "learning_rate": 2.9040920716112533e-05, + "loss": 0.5584, + "step": 175 + }, + { + "epoch": 0.44, + "learning_rate": 2.9033248081841434e-05, + "loss": 0.5544, + "step": 176 + }, + { + "epoch": 0.45, + "learning_rate": 2.9025575447570333e-05, + "loss": 0.5663, + "step": 177 + }, + { + "epoch": 0.45, + "learning_rate": 2.901790281329923e-05, + "loss": 1.0808, + "step": 178 + }, + { + "epoch": 0.45, + "learning_rate": 2.9010230179028136e-05, + "loss": 0.8736, + "step": 179 + }, + { + "epoch": 0.45, + "learning_rate": 2.9002557544757034e-05, + "loss": 0.6435, + "step": 180 + }, + { + "epoch": 0.46, + "learning_rate": 2.8994884910485932e-05, + "loss": 0.786, + "step": 181 + }, + { + "epoch": 0.46, + "learning_rate": 2.8987212276214834e-05, + "loss": 0.5717, + "step": 182 + }, + { + "epoch": 0.46, + "learning_rate": 2.8979539641943736e-05, + "loss": 0.5618, + "step": 183 + }, + { + "epoch": 0.46, + "learning_rate": 2.8971867007672637e-05, + "loss": 0.5785, + "step": 184 + }, + { + "epoch": 0.47, + "learning_rate": 2.8964194373401535e-05, + "loss": 0.7601, + "step": 185 + }, + { + "epoch": 0.47, + "learning_rate": 2.8956521739130434e-05, + "loss": 0.8112, + "step": 186 + }, + { + "epoch": 0.47, + "learning_rate": 2.894884910485934e-05, + "loss": 0.5663, + "step": 187 + }, + { + "epoch": 0.47, + "learning_rate": 2.8941176470588237e-05, + "loss": 0.5631, + "step": 188 + }, + { + "epoch": 0.48, + "learning_rate": 2.8933503836317135e-05, + "loss": 0.7363, + "step": 189 + }, + { + "epoch": 0.48, + "learning_rate": 2.8925831202046037e-05, + "loss": 0.4552, + "step": 190 + }, + { + "epoch": 0.48, + "learning_rate": 2.8918158567774938e-05, + "loss": 0.4599, + "step": 191 + }, + { + "epoch": 0.48, + "learning_rate": 2.8910485933503836e-05, + "loss": 0.7848, + "step": 192 + }, + { + "epoch": 0.49, + "learning_rate": 2.8902813299232738e-05, + "loss": 0.5907, + "step": 193 + }, + { + "epoch": 0.49, + "learning_rate": 2.8895140664961636e-05, + "loss": 0.4264, + "step": 194 + }, + { + "epoch": 0.49, + "learning_rate": 2.8887468030690538e-05, + "loss": 0.5697, + "step": 195 + }, + { + "epoch": 0.49, + "learning_rate": 2.887979539641944e-05, + "loss": 0.7643, + "step": 196 + }, + { + "epoch": 0.5, + "learning_rate": 2.8872122762148338e-05, + "loss": 0.3635, + "step": 197 + }, + { + "epoch": 0.5, + "learning_rate": 2.8864450127877236e-05, + "loss": 0.3715, + "step": 198 + }, + { + "epoch": 0.5, + "learning_rate": 2.885677749360614e-05, + "loss": 0.554, + "step": 199 + }, + { + "epoch": 0.51, + "learning_rate": 2.884910485933504e-05, + "loss": 0.8044, + "step": 200 + }, + { + "epoch": 0.51, + "learning_rate": 2.8841432225063937e-05, + "loss": 0.5673, + "step": 201 + }, + { + "epoch": 0.51, + "learning_rate": 2.8833759590792842e-05, + "loss": 0.8042, + "step": 202 + }, + { + "epoch": 0.51, + "learning_rate": 2.882608695652174e-05, + "loss": 0.5638, + "step": 203 + }, + { + "epoch": 0.52, + "learning_rate": 2.881841432225064e-05, + "loss": 0.3584, + "step": 204 + }, + { + "epoch": 0.52, + "learning_rate": 2.881074168797954e-05, + "loss": 0.8211, + "step": 205 + }, + { + "epoch": 0.52, + "learning_rate": 2.8803069053708442e-05, + "loss": 0.5708, + "step": 206 + }, + { + "epoch": 0.52, + "learning_rate": 2.879539641943734e-05, + "loss": 0.8301, + "step": 207 + }, + { + "epoch": 0.53, + "learning_rate": 2.8787723785166242e-05, + "loss": 0.8229, + "step": 208 + }, + { + "epoch": 0.53, + "learning_rate": 2.878005115089514e-05, + "loss": 0.5645, + "step": 209 + }, + { + "epoch": 0.53, + "learning_rate": 2.8772378516624042e-05, + "loss": 0.3529, + "step": 210 + }, + { + "epoch": 0.53, + "learning_rate": 2.8764705882352943e-05, + "loss": 0.5578, + "step": 211 + }, + { + "epoch": 0.54, + "learning_rate": 2.875703324808184e-05, + "loss": 0.5659, + "step": 212 + }, + { + "epoch": 0.54, + "learning_rate": 2.874936061381074e-05, + "loss": 0.7495, + "step": 213 + }, + { + "epoch": 0.54, + "learning_rate": 2.8741687979539645e-05, + "loss": 0.3162, + "step": 214 + }, + { + "epoch": 0.54, + "learning_rate": 2.8734015345268543e-05, + "loss": 0.5616, + "step": 215 + }, + { + "epoch": 0.55, + "learning_rate": 2.872634271099744e-05, + "loss": 0.4034, + "step": 216 + }, + { + "epoch": 0.55, + "learning_rate": 2.8718670076726343e-05, + "loss": 0.3163, + "step": 217 + }, + { + "epoch": 0.55, + "learning_rate": 2.8710997442455245e-05, + "loss": 0.5514, + "step": 218 + }, + { + "epoch": 0.55, + "learning_rate": 2.8703324808184143e-05, + "loss": 0.826, + "step": 219 + }, + { + "epoch": 0.56, + "learning_rate": 2.8695652173913044e-05, + "loss": 0.8363, + "step": 220 + }, + { + "epoch": 0.56, + "learning_rate": 2.8687979539641943e-05, + "loss": 0.8288, + "step": 221 + }, + { + "epoch": 0.56, + "learning_rate": 2.8680306905370844e-05, + "loss": 0.5929, + "step": 222 + }, + { + "epoch": 0.56, + "learning_rate": 2.8672634271099746e-05, + "loss": 0.565, + "step": 223 + }, + { + "epoch": 0.57, + "learning_rate": 2.8664961636828644e-05, + "loss": 0.5642, + "step": 224 + }, + { + "epoch": 0.57, + "learning_rate": 2.8657289002557546e-05, + "loss": 0.5609, + "step": 225 + }, + { + "epoch": 0.57, + "learning_rate": 2.8649616368286447e-05, + "loss": 0.5641, + "step": 226 + }, + { + "epoch": 0.57, + "learning_rate": 2.8641943734015345e-05, + "loss": 0.8535, + "step": 227 + }, + { + "epoch": 0.58, + "learning_rate": 2.8634271099744244e-05, + "loss": 0.5652, + "step": 228 + }, + { + "epoch": 0.58, + "learning_rate": 2.862659846547315e-05, + "loss": 0.4397, + "step": 229 + }, + { + "epoch": 0.58, + "learning_rate": 2.8618925831202047e-05, + "loss": 0.567, + "step": 230 + }, + { + "epoch": 0.58, + "learning_rate": 2.8611253196930945e-05, + "loss": 0.7517, + "step": 231 + }, + { + "epoch": 0.59, + "learning_rate": 2.8603580562659847e-05, + "loss": 0.5839, + "step": 232 + }, + { + "epoch": 0.59, + "learning_rate": 2.859590792838875e-05, + "loss": 0.5677, + "step": 233 + }, + { + "epoch": 0.59, + "learning_rate": 2.8588235294117647e-05, + "loss": 0.5678, + "step": 234 + }, + { + "epoch": 0.59, + "learning_rate": 2.8580562659846548e-05, + "loss": 1.3045, + "step": 235 + }, + { + "epoch": 0.6, + "learning_rate": 2.8572890025575446e-05, + "loss": 0.804, + "step": 236 + }, + { + "epoch": 0.6, + "learning_rate": 2.856521739130435e-05, + "loss": 1.0303, + "step": 237 + }, + { + "epoch": 0.6, + "learning_rate": 2.855754475703325e-05, + "loss": 0.3303, + "step": 238 + }, + { + "epoch": 0.6, + "learning_rate": 2.8549872122762148e-05, + "loss": 0.5677, + "step": 239 + }, + { + "epoch": 0.61, + "learning_rate": 2.854219948849105e-05, + "loss": 0.7972, + "step": 240 + }, + { + "epoch": 0.61, + "learning_rate": 2.853452685421995e-05, + "loss": 0.5644, + "step": 241 + }, + { + "epoch": 0.61, + "learning_rate": 2.852685421994885e-05, + "loss": 0.9294, + "step": 242 + }, + { + "epoch": 0.61, + "learning_rate": 2.851918158567775e-05, + "loss": 0.5665, + "step": 243 + }, + { + "epoch": 0.62, + "learning_rate": 2.851150895140665e-05, + "loss": 0.7963, + "step": 244 + }, + { + "epoch": 0.62, + "learning_rate": 2.850383631713555e-05, + "loss": 0.5659, + "step": 245 + }, + { + "epoch": 0.62, + "learning_rate": 2.8496163682864452e-05, + "loss": 0.5718, + "step": 246 + }, + { + "epoch": 0.62, + "learning_rate": 2.848849104859335e-05, + "loss": 0.3526, + "step": 247 + }, + { + "epoch": 0.63, + "learning_rate": 2.8480818414322252e-05, + "loss": 0.574, + "step": 248 + }, + { + "epoch": 0.63, + "learning_rate": 2.8473145780051154e-05, + "loss": 0.9996, + "step": 249 + }, + { + "epoch": 0.63, + "learning_rate": 2.8465473145780052e-05, + "loss": 0.7634, + "step": 250 + }, + { + "epoch": 0.63, + "learning_rate": 2.845780051150895e-05, + "loss": 0.5639, + "step": 251 + }, + { + "epoch": 0.64, + "learning_rate": 2.8450127877237855e-05, + "loss": 0.5737, + "step": 252 + }, + { + "epoch": 0.64, + "learning_rate": 2.8442455242966753e-05, + "loss": 0.7793, + "step": 253 + }, + { + "epoch": 0.64, + "learning_rate": 2.8434782608695652e-05, + "loss": 0.6769, + "step": 254 + }, + { + "epoch": 0.64, + "learning_rate": 2.8427109974424553e-05, + "loss": 0.5748, + "step": 255 + }, + { + "epoch": 0.65, + "learning_rate": 2.8419437340153455e-05, + "loss": 0.3602, + "step": 256 + }, + { + "epoch": 0.65, + "learning_rate": 2.8411764705882353e-05, + "loss": 0.5714, + "step": 257 + }, + { + "epoch": 0.65, + "learning_rate": 2.8404092071611255e-05, + "loss": 0.5738, + "step": 258 + }, + { + "epoch": 0.65, + "learning_rate": 2.8396419437340153e-05, + "loss": 0.5719, + "step": 259 + }, + { + "epoch": 0.66, + "learning_rate": 2.8388746803069055e-05, + "loss": 0.5753, + "step": 260 + }, + { + "epoch": 0.66, + "learning_rate": 2.8381074168797956e-05, + "loss": 0.5717, + "step": 261 + }, + { + "epoch": 0.66, + "learning_rate": 2.8373401534526854e-05, + "loss": 0.9794, + "step": 262 + }, + { + "epoch": 0.66, + "learning_rate": 2.8365728900255753e-05, + "loss": 0.5737, + "step": 263 + }, + { + "epoch": 0.67, + "learning_rate": 2.8358056265984658e-05, + "loss": 0.5723, + "step": 264 + }, + { + "epoch": 0.67, + "learning_rate": 2.8350383631713556e-05, + "loss": 0.5656, + "step": 265 + }, + { + "epoch": 0.67, + "learning_rate": 2.8342710997442454e-05, + "loss": 0.4259, + "step": 266 + }, + { + "epoch": 0.67, + "learning_rate": 2.8335038363171356e-05, + "loss": 0.3076, + "step": 267 + }, + { + "epoch": 0.68, + "learning_rate": 2.8327365728900257e-05, + "loss": 0.338, + "step": 268 + }, + { + "epoch": 0.68, + "learning_rate": 2.8319693094629156e-05, + "loss": 0.5612, + "step": 269 + }, + { + "epoch": 0.68, + "learning_rate": 2.8312020460358057e-05, + "loss": 0.5249, + "step": 270 + }, + { + "epoch": 0.68, + "learning_rate": 2.8304347826086955e-05, + "loss": 0.5671, + "step": 271 + }, + { + "epoch": 0.69, + "learning_rate": 2.8296675191815857e-05, + "loss": 0.5574, + "step": 272 + }, + { + "epoch": 0.69, + "learning_rate": 2.828900255754476e-05, + "loss": 0.8152, + "step": 273 + }, + { + "epoch": 0.69, + "learning_rate": 2.8281329923273657e-05, + "loss": 0.5647, + "step": 274 + }, + { + "epoch": 0.69, + "learning_rate": 2.827365728900256e-05, + "loss": 0.5632, + "step": 275 + }, + { + "epoch": 0.7, + "learning_rate": 2.826598465473146e-05, + "loss": 0.3391, + "step": 276 + }, + { + "epoch": 0.7, + "learning_rate": 2.8258312020460358e-05, + "loss": 0.55, + "step": 277 + }, + { + "epoch": 0.7, + "learning_rate": 2.8250639386189257e-05, + "loss": 0.5672, + "step": 278 + }, + { + "epoch": 0.7, + "learning_rate": 2.824296675191816e-05, + "loss": 0.285, + "step": 279 + }, + { + "epoch": 0.71, + "learning_rate": 2.823529411764706e-05, + "loss": 0.2809, + "step": 280 + }, + { + "epoch": 0.71, + "learning_rate": 2.8227621483375958e-05, + "loss": 0.5552, + "step": 281 + }, + { + "epoch": 0.71, + "learning_rate": 2.821994884910486e-05, + "loss": 0.563, + "step": 282 + }, + { + "epoch": 0.71, + "learning_rate": 2.821227621483376e-05, + "loss": 0.5628, + "step": 283 + }, + { + "epoch": 0.72, + "learning_rate": 2.820460358056266e-05, + "loss": 0.2548, + "step": 284 + }, + { + "epoch": 0.72, + "learning_rate": 2.819693094629156e-05, + "loss": 0.871, + "step": 285 + }, + { + "epoch": 0.72, + "learning_rate": 2.818925831202046e-05, + "loss": 0.8797, + "step": 286 + }, + { + "epoch": 0.72, + "learning_rate": 2.818158567774936e-05, + "loss": 0.2453, + "step": 287 + }, + { + "epoch": 0.73, + "learning_rate": 2.8173913043478262e-05, + "loss": 0.2464, + "step": 288 + }, + { + "epoch": 0.73, + "learning_rate": 2.816624040920716e-05, + "loss": 0.3134, + "step": 289 + }, + { + "epoch": 0.73, + "learning_rate": 2.8158567774936062e-05, + "loss": 0.2431, + "step": 290 + }, + { + "epoch": 0.73, + "learning_rate": 2.8150895140664964e-05, + "loss": 0.2308, + "step": 291 + }, + { + "epoch": 0.74, + "learning_rate": 2.8143222506393862e-05, + "loss": 0.2173, + "step": 292 + }, + { + "epoch": 0.74, + "learning_rate": 2.8135549872122764e-05, + "loss": 0.5665, + "step": 293 + }, + { + "epoch": 0.74, + "learning_rate": 2.8127877237851662e-05, + "loss": 0.5592, + "step": 294 + }, + { + "epoch": 0.74, + "learning_rate": 2.8120204603580564e-05, + "loss": 0.473, + "step": 295 + }, + { + "epoch": 0.75, + "learning_rate": 2.8112531969309465e-05, + "loss": 0.9458, + "step": 296 + }, + { + "epoch": 0.75, + "learning_rate": 2.8104859335038363e-05, + "loss": 0.1879, + "step": 297 + }, + { + "epoch": 0.75, + "learning_rate": 2.8097186700767265e-05, + "loss": 0.6797, + "step": 298 + }, + { + "epoch": 0.76, + "learning_rate": 2.8089514066496167e-05, + "loss": 0.7592, + "step": 299 + }, + { + "epoch": 0.76, + "learning_rate": 2.8081841432225065e-05, + "loss": 0.4109, + "step": 300 + }, + { + "epoch": 0.76, + "learning_rate": 2.8074168797953963e-05, + "loss": 0.5821, + "step": 301 + }, + { + "epoch": 0.76, + "learning_rate": 2.8066496163682868e-05, + "loss": 0.2057, + "step": 302 + }, + { + "epoch": 0.77, + "learning_rate": 2.8058823529411766e-05, + "loss": 0.5322, + "step": 303 + }, + { + "epoch": 0.77, + "learning_rate": 2.8051150895140665e-05, + "loss": 0.5208, + "step": 304 + }, + { + "epoch": 0.77, + "learning_rate": 2.8043478260869566e-05, + "loss": 0.6799, + "step": 305 + }, + { + "epoch": 0.77, + "learning_rate": 2.8035805626598468e-05, + "loss": 0.5894, + "step": 306 + }, + { + "epoch": 0.78, + "learning_rate": 2.8028132992327366e-05, + "loss": 0.4051, + "step": 307 + }, + { + "epoch": 0.78, + "learning_rate": 2.8020460358056268e-05, + "loss": 0.3695, + "step": 308 + }, + { + "epoch": 0.78, + "learning_rate": 2.8012787723785166e-05, + "loss": 0.4869, + "step": 309 + }, + { + "epoch": 0.78, + "learning_rate": 2.8005115089514067e-05, + "loss": 0.6075, + "step": 310 + }, + { + "epoch": 0.79, + "learning_rate": 2.799744245524297e-05, + "loss": 0.4245, + "step": 311 + }, + { + "epoch": 0.79, + "learning_rate": 2.7989769820971867e-05, + "loss": 0.5122, + "step": 312 + }, + { + "epoch": 0.79, + "learning_rate": 2.7982097186700765e-05, + "loss": 0.452, + "step": 313 + }, + { + "epoch": 0.79, + "learning_rate": 2.797442455242967e-05, + "loss": 0.9568, + "step": 314 + }, + { + "epoch": 0.8, + "learning_rate": 2.796675191815857e-05, + "loss": 0.5846, + "step": 315 + }, + { + "epoch": 0.8, + "learning_rate": 2.7959079283887467e-05, + "loss": 0.3743, + "step": 316 + }, + { + "epoch": 0.8, + "learning_rate": 2.795140664961637e-05, + "loss": 0.1922, + "step": 317 + }, + { + "epoch": 0.8, + "learning_rate": 2.794373401534527e-05, + "loss": 0.5303, + "step": 318 + }, + { + "epoch": 0.81, + "learning_rate": 2.793606138107417e-05, + "loss": 0.7253, + "step": 319 + }, + { + "epoch": 0.81, + "learning_rate": 2.792838874680307e-05, + "loss": 0.2794, + "step": 320 + }, + { + "epoch": 0.81, + "learning_rate": 2.7920716112531968e-05, + "loss": 0.577, + "step": 321 + }, + { + "epoch": 0.81, + "learning_rate": 2.791304347826087e-05, + "loss": 0.614, + "step": 322 + }, + { + "epoch": 0.82, + "learning_rate": 2.790537084398977e-05, + "loss": 0.5882, + "step": 323 + }, + { + "epoch": 0.82, + "learning_rate": 2.789769820971867e-05, + "loss": 0.2503, + "step": 324 + }, + { + "epoch": 0.82, + "learning_rate": 2.789002557544757e-05, + "loss": 0.4195, + "step": 325 + }, + { + "epoch": 0.82, + "learning_rate": 2.7882352941176473e-05, + "loss": 0.2959, + "step": 326 + }, + { + "epoch": 0.83, + "learning_rate": 2.787468030690537e-05, + "loss": 0.3732, + "step": 327 + }, + { + "epoch": 0.83, + "learning_rate": 2.786700767263427e-05, + "loss": 0.5729, + "step": 328 + }, + { + "epoch": 0.83, + "learning_rate": 2.7859335038363174e-05, + "loss": 0.3179, + "step": 329 + }, + { + "epoch": 0.83, + "learning_rate": 2.7851662404092073e-05, + "loss": 0.6823, + "step": 330 + }, + { + "epoch": 0.84, + "learning_rate": 2.784398976982097e-05, + "loss": 0.2663, + "step": 331 + }, + { + "epoch": 0.84, + "learning_rate": 2.7836317135549872e-05, + "loss": 0.4436, + "step": 332 + }, + { + "epoch": 0.84, + "learning_rate": 2.7828644501278774e-05, + "loss": 0.3089, + "step": 333 + }, + { + "epoch": 0.84, + "learning_rate": 2.7820971867007672e-05, + "loss": 0.5888, + "step": 334 + }, + { + "epoch": 0.85, + "learning_rate": 2.7813299232736574e-05, + "loss": 0.2115, + "step": 335 + }, + { + "epoch": 0.85, + "learning_rate": 2.7805626598465472e-05, + "loss": 0.4005, + "step": 336 + }, + { + "epoch": 0.85, + "learning_rate": 2.7797953964194374e-05, + "loss": 0.3097, + "step": 337 + }, + { + "epoch": 0.85, + "learning_rate": 2.7790281329923275e-05, + "loss": 0.5847, + "step": 338 + }, + { + "epoch": 0.86, + "learning_rate": 2.7782608695652174e-05, + "loss": 1.0164, + "step": 339 + }, + { + "epoch": 0.86, + "learning_rate": 2.7774936061381072e-05, + "loss": 1.1321, + "step": 340 + }, + { + "epoch": 0.86, + "learning_rate": 2.7767263427109977e-05, + "loss": 0.592, + "step": 341 + }, + { + "epoch": 0.86, + "learning_rate": 2.7759590792838875e-05, + "loss": 1.0191, + "step": 342 + }, + { + "epoch": 0.87, + "learning_rate": 2.7751918158567777e-05, + "loss": 0.9199, + "step": 343 + }, + { + "epoch": 0.87, + "learning_rate": 2.7744245524296675e-05, + "loss": 0.2874, + "step": 344 + }, + { + "epoch": 0.87, + "learning_rate": 2.7736572890025576e-05, + "loss": 0.2469, + "step": 345 + }, + { + "epoch": 0.87, + "learning_rate": 2.7728900255754478e-05, + "loss": 0.8364, + "step": 346 + }, + { + "epoch": 0.88, + "learning_rate": 2.7721227621483376e-05, + "loss": 0.7365, + "step": 347 + }, + { + "epoch": 0.88, + "learning_rate": 2.7713554987212278e-05, + "loss": 0.5595, + "step": 348 + }, + { + "epoch": 0.88, + "learning_rate": 2.770588235294118e-05, + "loss": 0.2546, + "step": 349 + }, + { + "epoch": 0.88, + "learning_rate": 2.7698209718670078e-05, + "loss": 0.8183, + "step": 350 + }, + { + "epoch": 0.89, + "learning_rate": 2.7690537084398976e-05, + "loss": 0.5385, + "step": 351 + }, + { + "epoch": 0.89, + "learning_rate": 2.768286445012788e-05, + "loss": 0.2763, + "step": 352 + }, + { + "epoch": 0.89, + "learning_rate": 2.767519181585678e-05, + "loss": 0.3045, + "step": 353 + }, + { + "epoch": 0.89, + "learning_rate": 2.7667519181585677e-05, + "loss": 0.3354, + "step": 354 + }, + { + "epoch": 0.9, + "learning_rate": 2.765984654731458e-05, + "loss": 0.9366, + "step": 355 + }, + { + "epoch": 0.9, + "learning_rate": 2.765217391304348e-05, + "loss": 0.6212, + "step": 356 + }, + { + "epoch": 0.9, + "learning_rate": 2.764450127877238e-05, + "loss": 0.1161, + "step": 357 + }, + { + "epoch": 0.9, + "learning_rate": 2.763682864450128e-05, + "loss": 0.4929, + "step": 358 + }, + { + "epoch": 0.91, + "learning_rate": 2.762915601023018e-05, + "loss": 0.8167, + "step": 359 + }, + { + "epoch": 0.91, + "learning_rate": 2.762148337595908e-05, + "loss": 0.2521, + "step": 360 + }, + { + "epoch": 0.91, + "learning_rate": 2.7613810741687982e-05, + "loss": 0.4174, + "step": 361 + }, + { + "epoch": 0.91, + "learning_rate": 2.760613810741688e-05, + "loss": 0.3822, + "step": 362 + }, + { + "epoch": 0.92, + "learning_rate": 2.759846547314578e-05, + "loss": 0.5355, + "step": 363 + }, + { + "epoch": 0.92, + "learning_rate": 2.7590792838874683e-05, + "loss": 0.561, + "step": 364 + }, + { + "epoch": 0.92, + "learning_rate": 2.758312020460358e-05, + "loss": 0.5126, + "step": 365 + }, + { + "epoch": 0.92, + "learning_rate": 2.757544757033248e-05, + "loss": 0.2301, + "step": 366 + }, + { + "epoch": 0.93, + "learning_rate": 2.756777493606138e-05, + "loss": 0.1698, + "step": 367 + }, + { + "epoch": 0.93, + "learning_rate": 2.7560102301790283e-05, + "loss": 0.1634, + "step": 368 + }, + { + "epoch": 0.93, + "learning_rate": 2.755242966751918e-05, + "loss": 0.5955, + "step": 369 + }, + { + "epoch": 0.93, + "learning_rate": 2.7544757033248083e-05, + "loss": 0.1568, + "step": 370 + }, + { + "epoch": 0.94, + "learning_rate": 2.753708439897698e-05, + "loss": 0.5167, + "step": 371 + }, + { + "epoch": 0.94, + "learning_rate": 2.7529411764705883e-05, + "loss": 1.0028, + "step": 372 + }, + { + "epoch": 0.94, + "learning_rate": 2.7521739130434784e-05, + "loss": 1.2567, + "step": 373 + }, + { + "epoch": 0.94, + "learning_rate": 2.7514066496163682e-05, + "loss": 0.6094, + "step": 374 + }, + { + "epoch": 0.95, + "learning_rate": 2.7506393861892584e-05, + "loss": 0.6059, + "step": 375 + }, + { + "epoch": 0.95, + "learning_rate": 2.7498721227621486e-05, + "loss": 1.0593, + "step": 376 + }, + { + "epoch": 0.95, + "learning_rate": 2.7491048593350384e-05, + "loss": 0.1506, + "step": 377 + }, + { + "epoch": 0.95, + "learning_rate": 2.7483375959079282e-05, + "loss": 1.5106, + "step": 378 + }, + { + "epoch": 0.96, + "learning_rate": 2.7475703324808187e-05, + "loss": 0.1827, + "step": 379 + }, + { + "epoch": 0.96, + "learning_rate": 2.7468030690537085e-05, + "loss": 1.4961, + "step": 380 + }, + { + "epoch": 0.96, + "learning_rate": 2.7460358056265984e-05, + "loss": 1.0456, + "step": 381 + }, + { + "epoch": 0.96, + "learning_rate": 2.7452685421994885e-05, + "loss": 1.2063, + "step": 382 + }, + { + "epoch": 0.97, + "learning_rate": 2.7445012787723787e-05, + "loss": 0.5837, + "step": 383 + }, + { + "epoch": 0.97, + "learning_rate": 2.7437340153452685e-05, + "loss": 1.4536, + "step": 384 + }, + { + "epoch": 0.97, + "learning_rate": 2.7429667519181587e-05, + "loss": 0.5803, + "step": 385 + }, + { + "epoch": 0.97, + "learning_rate": 2.7421994884910485e-05, + "loss": 0.5896, + "step": 386 + }, + { + "epoch": 0.98, + "learning_rate": 2.7414322250639386e-05, + "loss": 0.1822, + "step": 387 + }, + { + "epoch": 0.98, + "learning_rate": 2.7406649616368288e-05, + "loss": 1.7893, + "step": 388 + }, + { + "epoch": 0.98, + "learning_rate": 2.7398976982097186e-05, + "loss": 0.9723, + "step": 389 + }, + { + "epoch": 0.98, + "learning_rate": 2.7391304347826085e-05, + "loss": 1.2815, + "step": 390 + }, + { + "epoch": 0.99, + "learning_rate": 2.738363171355499e-05, + "loss": 0.5765, + "step": 391 + }, + { + "epoch": 0.99, + "learning_rate": 2.7375959079283888e-05, + "loss": 1.2429, + "step": 392 + }, + { + "epoch": 0.99, + "learning_rate": 2.7368286445012786e-05, + "loss": 0.1343, + "step": 393 + }, + { + "epoch": 0.99, + "learning_rate": 2.7360613810741688e-05, + "loss": 0.2306, + "step": 394 + }, + { + "epoch": 1.0, + "learning_rate": 2.735294117647059e-05, + "loss": 0.624, + "step": 395 + }, + { + "epoch": 1.0, + "learning_rate": 2.734526854219949e-05, + "loss": 0.2371, + "step": 396 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.7348484848484849, + "eval_loss": 0.5804409980773926, + "eval_runtime": 57.3336, + "eval_samples_per_second": 6.907, + "eval_steps_per_second": 1.727, + "step": 396 + }, + { + "epoch": 1.0, + "learning_rate": 2.733759590792839e-05, + "loss": 0.8989, + "step": 397 + }, + { + "epoch": 1.01, + "learning_rate": 2.732992327365729e-05, + "loss": 0.5664, + "step": 398 + }, + { + "epoch": 1.01, + "learning_rate": 2.7322250639386192e-05, + "loss": 0.8852, + "step": 399 + }, + { + "epoch": 1.01, + "learning_rate": 2.731457800511509e-05, + "loss": 0.5661, + "step": 400 + }, + { + "epoch": 1.01, + "learning_rate": 2.730690537084399e-05, + "loss": 0.5648, + "step": 401 + }, + { + "epoch": 1.02, + "learning_rate": 2.7299232736572894e-05, + "loss": 0.7333, + "step": 402 + }, + { + "epoch": 1.02, + "learning_rate": 2.7291560102301792e-05, + "loss": 0.3037, + "step": 403 + }, + { + "epoch": 1.02, + "learning_rate": 2.728388746803069e-05, + "loss": 0.1463, + "step": 404 + }, + { + "epoch": 1.02, + "learning_rate": 2.7276214833759592e-05, + "loss": 0.2702, + "step": 405 + }, + { + "epoch": 1.03, + "learning_rate": 2.7268542199488493e-05, + "loss": 0.2693, + "step": 406 + }, + { + "epoch": 1.03, + "learning_rate": 2.726086956521739e-05, + "loss": 0.5647, + "step": 407 + }, + { + "epoch": 1.03, + "learning_rate": 2.7253196930946293e-05, + "loss": 0.8507, + "step": 408 + }, + { + "epoch": 1.03, + "learning_rate": 2.724552429667519e-05, + "loss": 0.8645, + "step": 409 + }, + { + "epoch": 1.04, + "learning_rate": 2.7237851662404093e-05, + "loss": 0.2649, + "step": 410 + }, + { + "epoch": 1.04, + "learning_rate": 2.7230179028132995e-05, + "loss": 0.6942, + "step": 411 + }, + { + "epoch": 1.04, + "learning_rate": 2.7222506393861893e-05, + "loss": 0.5656, + "step": 412 + }, + { + "epoch": 1.04, + "learning_rate": 2.721483375959079e-05, + "loss": 0.5489, + "step": 413 + }, + { + "epoch": 1.05, + "learning_rate": 2.7207161125319696e-05, + "loss": 0.2652, + "step": 414 + }, + { + "epoch": 1.05, + "learning_rate": 2.7199488491048594e-05, + "loss": 0.8676, + "step": 415 + }, + { + "epoch": 1.05, + "learning_rate": 2.7191815856777493e-05, + "loss": 0.8621, + "step": 416 + }, + { + "epoch": 1.05, + "learning_rate": 2.7184143222506394e-05, + "loss": 0.2641, + "step": 417 + }, + { + "epoch": 1.06, + "learning_rate": 2.7176470588235296e-05, + "loss": 0.859, + "step": 418 + }, + { + "epoch": 1.06, + "learning_rate": 2.7168797953964194e-05, + "loss": 0.6492, + "step": 419 + }, + { + "epoch": 1.06, + "learning_rate": 2.7161125319693096e-05, + "loss": 1.1494, + "step": 420 + }, + { + "epoch": 1.06, + "learning_rate": 2.7153452685421994e-05, + "loss": 0.8278, + "step": 421 + }, + { + "epoch": 1.07, + "learning_rate": 2.7145780051150895e-05, + "loss": 0.764, + "step": 422 + }, + { + "epoch": 1.07, + "learning_rate": 2.7138107416879797e-05, + "loss": 0.564, + "step": 423 + }, + { + "epoch": 1.07, + "learning_rate": 2.7130434782608695e-05, + "loss": 0.8051, + "step": 424 + }, + { + "epoch": 1.07, + "learning_rate": 2.7122762148337597e-05, + "loss": 0.3052, + "step": 425 + }, + { + "epoch": 1.08, + "learning_rate": 2.71150895140665e-05, + "loss": 0.2945, + "step": 426 + }, + { + "epoch": 1.08, + "learning_rate": 2.7107416879795397e-05, + "loss": 0.4118, + "step": 427 + }, + { + "epoch": 1.08, + "learning_rate": 2.7099744245524295e-05, + "loss": 0.559, + "step": 428 + }, + { + "epoch": 1.08, + "learning_rate": 2.70920716112532e-05, + "loss": 0.5593, + "step": 429 + }, + { + "epoch": 1.09, + "learning_rate": 2.7084398976982098e-05, + "loss": 0.564, + "step": 430 + }, + { + "epoch": 1.09, + "learning_rate": 2.7076726342710996e-05, + "loss": 0.4454, + "step": 431 + }, + { + "epoch": 1.09, + "learning_rate": 2.7069053708439898e-05, + "loss": 0.4381, + "step": 432 + }, + { + "epoch": 1.09, + "learning_rate": 2.70613810741688e-05, + "loss": 0.3718, + "step": 433 + }, + { + "epoch": 1.1, + "learning_rate": 2.7053708439897698e-05, + "loss": 0.6627, + "step": 434 + }, + { + "epoch": 1.1, + "learning_rate": 2.70460358056266e-05, + "loss": 0.4004, + "step": 435 + }, + { + "epoch": 1.1, + "learning_rate": 2.7038363171355498e-05, + "loss": 0.3855, + "step": 436 + }, + { + "epoch": 1.1, + "learning_rate": 2.70306905370844e-05, + "loss": 0.4799, + "step": 437 + }, + { + "epoch": 1.11, + "learning_rate": 2.70230179028133e-05, + "loss": 0.6714, + "step": 438 + }, + { + "epoch": 1.11, + "learning_rate": 2.70153452685422e-05, + "loss": 0.622, + "step": 439 + }, + { + "epoch": 1.11, + "learning_rate": 2.7007672634271097e-05, + "loss": 0.3916, + "step": 440 + }, + { + "epoch": 1.11, + "learning_rate": 2.7000000000000002e-05, + "loss": 0.5487, + "step": 441 + }, + { + "epoch": 1.12, + "learning_rate": 2.69923273657289e-05, + "loss": 0.376, + "step": 442 + }, + { + "epoch": 1.12, + "learning_rate": 2.69846547314578e-05, + "loss": 0.3616, + "step": 443 + }, + { + "epoch": 1.12, + "learning_rate": 2.69769820971867e-05, + "loss": 0.8747, + "step": 444 + }, + { + "epoch": 1.12, + "learning_rate": 2.6969309462915602e-05, + "loss": 0.283, + "step": 445 + }, + { + "epoch": 1.13, + "learning_rate": 2.69616368286445e-05, + "loss": 0.3988, + "step": 446 + }, + { + "epoch": 1.13, + "learning_rate": 2.6953964194373402e-05, + "loss": 0.4569, + "step": 447 + }, + { + "epoch": 1.13, + "learning_rate": 2.6946291560102303e-05, + "loss": 0.2005, + "step": 448 + }, + { + "epoch": 1.13, + "learning_rate": 2.6938618925831205e-05, + "loss": 0.3087, + "step": 449 + }, + { + "epoch": 1.14, + "learning_rate": 2.6930946291560103e-05, + "loss": 0.5814, + "step": 450 + }, + { + "epoch": 1.14, + "learning_rate": 2.6923273657289e-05, + "loss": 0.2995, + "step": 451 + }, + { + "epoch": 1.14, + "learning_rate": 2.6915601023017907e-05, + "loss": 0.7806, + "step": 452 + }, + { + "epoch": 1.14, + "learning_rate": 2.6907928388746805e-05, + "loss": 0.2666, + "step": 453 + }, + { + "epoch": 1.15, + "learning_rate": 2.6900255754475703e-05, + "loss": 0.2571, + "step": 454 + }, + { + "epoch": 1.15, + "learning_rate": 2.6892583120204605e-05, + "loss": 0.5931, + "step": 455 + }, + { + "epoch": 1.15, + "learning_rate": 2.6884910485933506e-05, + "loss": 0.475, + "step": 456 + }, + { + "epoch": 1.15, + "learning_rate": 2.6877237851662404e-05, + "loss": 0.2372, + "step": 457 + }, + { + "epoch": 1.16, + "learning_rate": 2.6869565217391306e-05, + "loss": 0.1577, + "step": 458 + }, + { + "epoch": 1.16, + "learning_rate": 2.6861892583120204e-05, + "loss": 0.1953, + "step": 459 + }, + { + "epoch": 1.16, + "learning_rate": 2.6854219948849106e-05, + "loss": 0.1931, + "step": 460 + }, + { + "epoch": 1.16, + "learning_rate": 2.6846547314578008e-05, + "loss": 0.1829, + "step": 461 + }, + { + "epoch": 1.17, + "learning_rate": 2.6838874680306906e-05, + "loss": 0.1601, + "step": 462 + }, + { + "epoch": 1.17, + "learning_rate": 2.6831202046035804e-05, + "loss": 0.2505, + "step": 463 + }, + { + "epoch": 1.17, + "learning_rate": 2.682352941176471e-05, + "loss": 0.181, + "step": 464 + }, + { + "epoch": 1.17, + "learning_rate": 2.6815856777493607e-05, + "loss": 0.5978, + "step": 465 + }, + { + "epoch": 1.18, + "learning_rate": 2.6808184143222505e-05, + "loss": 0.5458, + "step": 466 + }, + { + "epoch": 1.18, + "learning_rate": 2.6800511508951407e-05, + "loss": 0.1289, + "step": 467 + }, + { + "epoch": 1.18, + "learning_rate": 2.679283887468031e-05, + "loss": 0.4383, + "step": 468 + }, + { + "epoch": 1.18, + "learning_rate": 2.6785166240409207e-05, + "loss": 0.5892, + "step": 469 + }, + { + "epoch": 1.19, + "learning_rate": 2.677749360613811e-05, + "loss": 1.3565, + "step": 470 + }, + { + "epoch": 1.19, + "learning_rate": 2.676982097186701e-05, + "loss": 0.7267, + "step": 471 + }, + { + "epoch": 1.19, + "learning_rate": 2.6762148337595908e-05, + "loss": 0.1354, + "step": 472 + }, + { + "epoch": 1.19, + "learning_rate": 2.675447570332481e-05, + "loss": 0.9291, + "step": 473 + }, + { + "epoch": 1.2, + "learning_rate": 2.6746803069053708e-05, + "loss": 0.5265, + "step": 474 + }, + { + "epoch": 1.2, + "learning_rate": 2.673913043478261e-05, + "loss": 0.4841, + "step": 475 + }, + { + "epoch": 1.2, + "learning_rate": 2.673145780051151e-05, + "loss": 1.2391, + "step": 476 + }, + { + "epoch": 1.2, + "learning_rate": 2.672378516624041e-05, + "loss": 0.4924, + "step": 477 + }, + { + "epoch": 1.21, + "learning_rate": 2.6716112531969308e-05, + "loss": 1.0076, + "step": 478 + }, + { + "epoch": 1.21, + "learning_rate": 2.6708439897698213e-05, + "loss": 0.6314, + "step": 479 + }, + { + "epoch": 1.21, + "learning_rate": 2.670076726342711e-05, + "loss": 0.4237, + "step": 480 + }, + { + "epoch": 1.21, + "learning_rate": 2.669309462915601e-05, + "loss": 0.1077, + "step": 481 + }, + { + "epoch": 1.22, + "learning_rate": 2.668542199488491e-05, + "loss": 0.3038, + "step": 482 + }, + { + "epoch": 1.22, + "learning_rate": 2.6677749360613812e-05, + "loss": 0.6081, + "step": 483 + }, + { + "epoch": 1.22, + "learning_rate": 2.667007672634271e-05, + "loss": 0.1078, + "step": 484 + }, + { + "epoch": 1.22, + "learning_rate": 2.6662404092071612e-05, + "loss": 0.4296, + "step": 485 + }, + { + "epoch": 1.23, + "learning_rate": 2.665473145780051e-05, + "loss": 0.3981, + "step": 486 + }, + { + "epoch": 1.23, + "learning_rate": 2.6647058823529412e-05, + "loss": 0.5853, + "step": 487 + }, + { + "epoch": 1.23, + "learning_rate": 2.6639386189258314e-05, + "loss": 0.802, + "step": 488 + }, + { + "epoch": 1.23, + "learning_rate": 2.6631713554987212e-05, + "loss": 0.4576, + "step": 489 + }, + { + "epoch": 1.24, + "learning_rate": 2.662404092071611e-05, + "loss": 0.2682, + "step": 490 + }, + { + "epoch": 1.24, + "learning_rate": 2.6616368286445015e-05, + "loss": 0.1991, + "step": 491 + }, + { + "epoch": 1.24, + "learning_rate": 2.6608695652173913e-05, + "loss": 0.1409, + "step": 492 + }, + { + "epoch": 1.24, + "learning_rate": 2.660102301790281e-05, + "loss": 0.3869, + "step": 493 + }, + { + "epoch": 1.25, + "learning_rate": 2.6593350383631713e-05, + "loss": 0.5301, + "step": 494 + }, + { + "epoch": 1.25, + "learning_rate": 2.6585677749360615e-05, + "loss": 0.8116, + "step": 495 + }, + { + "epoch": 1.25, + "learning_rate": 2.6578005115089513e-05, + "loss": 0.0984, + "step": 496 + }, + { + "epoch": 1.26, + "learning_rate": 2.6570332480818415e-05, + "loss": 0.7773, + "step": 497 + }, + { + "epoch": 1.26, + "learning_rate": 2.6562659846547316e-05, + "loss": 1.3522, + "step": 498 + }, + { + "epoch": 1.26, + "learning_rate": 2.6554987212276215e-05, + "loss": 0.0862, + "step": 499 + }, + { + "epoch": 1.26, + "learning_rate": 2.6547314578005116e-05, + "loss": 0.0894, + "step": 500 + }, + { + "epoch": 1.27, + "learning_rate": 2.6539641943734014e-05, + "loss": 0.0885, + "step": 501 + }, + { + "epoch": 1.27, + "learning_rate": 2.653196930946292e-05, + "loss": 0.3031, + "step": 502 + }, + { + "epoch": 1.27, + "learning_rate": 2.6524296675191818e-05, + "loss": 0.187, + "step": 503 + }, + { + "epoch": 1.27, + "learning_rate": 2.6516624040920716e-05, + "loss": 1.3063, + "step": 504 + }, + { + "epoch": 1.28, + "learning_rate": 2.6508951406649617e-05, + "loss": 0.6847, + "step": 505 + }, + { + "epoch": 1.28, + "learning_rate": 2.650127877237852e-05, + "loss": 0.078, + "step": 506 + }, + { + "epoch": 1.28, + "learning_rate": 2.6493606138107417e-05, + "loss": 0.1265, + "step": 507 + }, + { + "epoch": 1.28, + "learning_rate": 2.648593350383632e-05, + "loss": 0.0804, + "step": 508 + }, + { + "epoch": 1.29, + "learning_rate": 2.6478260869565217e-05, + "loss": 0.6976, + "step": 509 + }, + { + "epoch": 1.29, + "learning_rate": 2.647058823529412e-05, + "loss": 0.7977, + "step": 510 + }, + { + "epoch": 1.29, + "learning_rate": 2.646291560102302e-05, + "loss": 0.413, + "step": 511 + }, + { + "epoch": 1.29, + "learning_rate": 2.645524296675192e-05, + "loss": 0.6944, + "step": 512 + }, + { + "epoch": 1.3, + "learning_rate": 2.6447570332480817e-05, + "loss": 0.7177, + "step": 513 + }, + { + "epoch": 1.3, + "learning_rate": 2.6439897698209722e-05, + "loss": 0.0581, + "step": 514 + }, + { + "epoch": 1.3, + "learning_rate": 2.643222506393862e-05, + "loss": 0.9308, + "step": 515 + }, + { + "epoch": 1.3, + "learning_rate": 2.6424552429667518e-05, + "loss": 0.2518, + "step": 516 + }, + { + "epoch": 1.31, + "learning_rate": 2.641687979539642e-05, + "loss": 0.1014, + "step": 517 + }, + { + "epoch": 1.31, + "learning_rate": 2.640920716112532e-05, + "loss": 0.1641, + "step": 518 + }, + { + "epoch": 1.31, + "learning_rate": 2.640153452685422e-05, + "loss": 0.101, + "step": 519 + }, + { + "epoch": 1.31, + "learning_rate": 2.639386189258312e-05, + "loss": 0.1097, + "step": 520 + }, + { + "epoch": 1.32, + "learning_rate": 2.6386189258312023e-05, + "loss": 0.987, + "step": 521 + }, + { + "epoch": 1.32, + "learning_rate": 2.637851662404092e-05, + "loss": 0.6465, + "step": 522 + }, + { + "epoch": 1.32, + "learning_rate": 2.6370843989769823e-05, + "loss": 0.0914, + "step": 523 + }, + { + "epoch": 1.32, + "learning_rate": 2.636317135549872e-05, + "loss": 0.139, + "step": 524 + }, + { + "epoch": 1.33, + "learning_rate": 2.6355498721227623e-05, + "loss": 0.6455, + "step": 525 + }, + { + "epoch": 1.33, + "learning_rate": 2.6347826086956524e-05, + "loss": 0.204, + "step": 526 + }, + { + "epoch": 1.33, + "learning_rate": 2.6340153452685422e-05, + "loss": 0.1269, + "step": 527 + }, + { + "epoch": 1.33, + "learning_rate": 2.633248081841432e-05, + "loss": 0.2214, + "step": 528 + }, + { + "epoch": 1.34, + "learning_rate": 2.6324808184143226e-05, + "loss": 0.0736, + "step": 529 + }, + { + "epoch": 1.34, + "learning_rate": 2.6317135549872124e-05, + "loss": 0.0714, + "step": 530 + }, + { + "epoch": 1.34, + "learning_rate": 2.6309462915601022e-05, + "loss": 0.1388, + "step": 531 + }, + { + "epoch": 1.34, + "learning_rate": 2.6301790281329924e-05, + "loss": 0.7758, + "step": 532 + }, + { + "epoch": 1.35, + "learning_rate": 2.6294117647058825e-05, + "loss": 0.3388, + "step": 533 + }, + { + "epoch": 1.35, + "learning_rate": 2.6286445012787724e-05, + "loss": 1.1831, + "step": 534 + }, + { + "epoch": 1.35, + "learning_rate": 2.6278772378516625e-05, + "loss": 0.1166, + "step": 535 + }, + { + "epoch": 1.35, + "learning_rate": 2.6271099744245523e-05, + "loss": 0.2389, + "step": 536 + }, + { + "epoch": 1.36, + "learning_rate": 2.6263427109974425e-05, + "loss": 0.1622, + "step": 537 + }, + { + "epoch": 1.36, + "learning_rate": 2.6255754475703327e-05, + "loss": 0.1015, + "step": 538 + }, + { + "epoch": 1.36, + "learning_rate": 2.6248081841432225e-05, + "loss": 0.0658, + "step": 539 + }, + { + "epoch": 1.36, + "learning_rate": 2.6240409207161123e-05, + "loss": 0.0954, + "step": 540 + }, + { + "epoch": 1.37, + "learning_rate": 2.6232736572890028e-05, + "loss": 0.1182, + "step": 541 + }, + { + "epoch": 1.37, + "learning_rate": 2.6225063938618926e-05, + "loss": 0.0605, + "step": 542 + }, + { + "epoch": 1.37, + "learning_rate": 2.6217391304347824e-05, + "loss": 0.9265, + "step": 543 + }, + { + "epoch": 1.37, + "learning_rate": 2.6209718670076726e-05, + "loss": 1.2994, + "step": 544 + }, + { + "epoch": 1.38, + "learning_rate": 2.6202046035805628e-05, + "loss": 0.081, + "step": 545 + }, + { + "epoch": 1.38, + "learning_rate": 2.6194373401534526e-05, + "loss": 0.5962, + "step": 546 + }, + { + "epoch": 1.38, + "learning_rate": 2.6186700767263428e-05, + "loss": 0.0665, + "step": 547 + }, + { + "epoch": 1.38, + "learning_rate": 2.617902813299233e-05, + "loss": 0.0655, + "step": 548 + }, + { + "epoch": 1.39, + "learning_rate": 2.6171355498721227e-05, + "loss": 0.0642, + "step": 549 + }, + { + "epoch": 1.39, + "learning_rate": 2.616368286445013e-05, + "loss": 0.0834, + "step": 550 + }, + { + "epoch": 1.39, + "learning_rate": 2.6156010230179027e-05, + "loss": 0.047, + "step": 551 + }, + { + "epoch": 1.39, + "learning_rate": 2.6148337595907932e-05, + "loss": 0.0642, + "step": 552 + }, + { + "epoch": 1.4, + "learning_rate": 2.614066496163683e-05, + "loss": 0.0594, + "step": 553 + }, + { + "epoch": 1.4, + "learning_rate": 2.613299232736573e-05, + "loss": 0.0573, + "step": 554 + }, + { + "epoch": 1.4, + "learning_rate": 2.612531969309463e-05, + "loss": 0.1101, + "step": 555 + }, + { + "epoch": 1.4, + "learning_rate": 2.6117647058823532e-05, + "loss": 0.5121, + "step": 556 + }, + { + "epoch": 1.41, + "learning_rate": 2.610997442455243e-05, + "loss": 0.0374, + "step": 557 + }, + { + "epoch": 1.41, + "learning_rate": 2.6102301790281332e-05, + "loss": 0.0957, + "step": 558 + }, + { + "epoch": 1.41, + "learning_rate": 2.609462915601023e-05, + "loss": 0.0488, + "step": 559 + }, + { + "epoch": 1.41, + "learning_rate": 2.608695652173913e-05, + "loss": 0.0482, + "step": 560 + }, + { + "epoch": 1.42, + "learning_rate": 2.6079283887468033e-05, + "loss": 1.2041, + "step": 561 + }, + { + "epoch": 1.42, + "learning_rate": 2.607161125319693e-05, + "loss": 0.8833, + "step": 562 + }, + { + "epoch": 1.42, + "learning_rate": 2.606393861892583e-05, + "loss": 0.1544, + "step": 563 + }, + { + "epoch": 1.42, + "learning_rate": 2.6056265984654735e-05, + "loss": 0.046, + "step": 564 + }, + { + "epoch": 1.43, + "learning_rate": 2.6048593350383633e-05, + "loss": 0.9073, + "step": 565 + }, + { + "epoch": 1.43, + "learning_rate": 2.604092071611253e-05, + "loss": 0.052, + "step": 566 + }, + { + "epoch": 1.43, + "learning_rate": 2.6033248081841433e-05, + "loss": 0.0308, + "step": 567 + }, + { + "epoch": 1.43, + "learning_rate": 2.6025575447570334e-05, + "loss": 0.7032, + "step": 568 + }, + { + "epoch": 1.44, + "learning_rate": 2.6017902813299232e-05, + "loss": 0.6947, + "step": 569 + }, + { + "epoch": 1.44, + "learning_rate": 2.6010230179028134e-05, + "loss": 1.5603, + "step": 570 + }, + { + "epoch": 1.44, + "learning_rate": 2.6002557544757036e-05, + "loss": 0.8836, + "step": 571 + }, + { + "epoch": 1.44, + "learning_rate": 2.5994884910485934e-05, + "loss": 1.7439, + "step": 572 + }, + { + "epoch": 1.45, + "learning_rate": 2.5987212276214836e-05, + "loss": 0.0313, + "step": 573 + }, + { + "epoch": 1.45, + "learning_rate": 2.5979539641943734e-05, + "loss": 0.0317, + "step": 574 + }, + { + "epoch": 1.45, + "learning_rate": 2.5971867007672635e-05, + "loss": 0.0325, + "step": 575 + }, + { + "epoch": 1.45, + "learning_rate": 2.5964194373401537e-05, + "loss": 0.5, + "step": 576 + }, + { + "epoch": 1.46, + "learning_rate": 2.5956521739130435e-05, + "loss": 0.0675, + "step": 577 + }, + { + "epoch": 1.46, + "learning_rate": 2.5948849104859333e-05, + "loss": 0.6364, + "step": 578 + }, + { + "epoch": 1.46, + "learning_rate": 2.594117647058824e-05, + "loss": 0.0696, + "step": 579 + }, + { + "epoch": 1.46, + "learning_rate": 2.5933503836317137e-05, + "loss": 0.6195, + "step": 580 + }, + { + "epoch": 1.47, + "learning_rate": 2.5925831202046035e-05, + "loss": 0.5796, + "step": 581 + }, + { + "epoch": 1.47, + "learning_rate": 2.5918158567774937e-05, + "loss": 0.0832, + "step": 582 + }, + { + "epoch": 1.47, + "learning_rate": 2.5910485933503838e-05, + "loss": 0.0794, + "step": 583 + }, + { + "epoch": 1.47, + "learning_rate": 2.5902813299232736e-05, + "loss": 0.5851, + "step": 584 + }, + { + "epoch": 1.48, + "learning_rate": 2.5895140664961638e-05, + "loss": 0.104, + "step": 585 + }, + { + "epoch": 1.48, + "learning_rate": 2.5887468030690536e-05, + "loss": 1.0492, + "step": 586 + }, + { + "epoch": 1.48, + "learning_rate": 2.5879795396419438e-05, + "loss": 0.0645, + "step": 587 + }, + { + "epoch": 1.48, + "learning_rate": 2.587212276214834e-05, + "loss": 0.514, + "step": 588 + }, + { + "epoch": 1.49, + "learning_rate": 2.5864450127877238e-05, + "loss": 0.0701, + "step": 589 + }, + { + "epoch": 1.49, + "learning_rate": 2.5856777493606136e-05, + "loss": 0.5409, + "step": 590 + }, + { + "epoch": 1.49, + "learning_rate": 2.584910485933504e-05, + "loss": 0.0536, + "step": 591 + }, + { + "epoch": 1.49, + "learning_rate": 2.584143222506394e-05, + "loss": 0.1728, + "step": 592 + }, + { + "epoch": 1.5, + "learning_rate": 2.5833759590792837e-05, + "loss": 0.0845, + "step": 593 + }, + { + "epoch": 1.5, + "learning_rate": 2.582608695652174e-05, + "loss": 0.2217, + "step": 594 + }, + { + "epoch": 1.5, + "learning_rate": 2.581841432225064e-05, + "loss": 0.1397, + "step": 595 + }, + { + "epoch": 1.51, + "learning_rate": 2.581074168797954e-05, + "loss": 0.4119, + "step": 596 + }, + { + "epoch": 1.51, + "learning_rate": 2.580306905370844e-05, + "loss": 0.3638, + "step": 597 + }, + { + "epoch": 1.51, + "learning_rate": 2.5795396419437342e-05, + "loss": 0.0781, + "step": 598 + }, + { + "epoch": 1.51, + "learning_rate": 2.578772378516624e-05, + "loss": 0.5926, + "step": 599 + }, + { + "epoch": 1.52, + "learning_rate": 2.5780051150895142e-05, + "loss": 0.1378, + "step": 600 + }, + { + "epoch": 1.52, + "learning_rate": 2.577237851662404e-05, + "loss": 0.142, + "step": 601 + }, + { + "epoch": 1.52, + "learning_rate": 2.576470588235294e-05, + "loss": 0.1722, + "step": 602 + }, + { + "epoch": 1.52, + "learning_rate": 2.5757033248081843e-05, + "loss": 0.1529, + "step": 603 + }, + { + "epoch": 1.53, + "learning_rate": 2.574936061381074e-05, + "loss": 1.6083, + "step": 604 + }, + { + "epoch": 1.53, + "learning_rate": 2.5741687979539643e-05, + "loss": 1.8267, + "step": 605 + }, + { + "epoch": 1.53, + "learning_rate": 2.5734015345268545e-05, + "loss": 0.0535, + "step": 606 + }, + { + "epoch": 1.53, + "learning_rate": 2.5726342710997443e-05, + "loss": 0.9945, + "step": 607 + }, + { + "epoch": 1.54, + "learning_rate": 2.5718670076726345e-05, + "loss": 0.9133, + "step": 608 + }, + { + "epoch": 1.54, + "learning_rate": 2.5710997442455243e-05, + "loss": 0.5295, + "step": 609 + }, + { + "epoch": 1.54, + "learning_rate": 2.5703324808184144e-05, + "loss": 0.058, + "step": 610 + }, + { + "epoch": 1.54, + "learning_rate": 2.5695652173913046e-05, + "loss": 0.4789, + "step": 611 + }, + { + "epoch": 1.55, + "learning_rate": 2.5687979539641944e-05, + "loss": 0.0572, + "step": 612 + }, + { + "epoch": 1.55, + "learning_rate": 2.5680306905370842e-05, + "loss": 0.0897, + "step": 613 + }, + { + "epoch": 1.55, + "learning_rate": 2.5672634271099747e-05, + "loss": 0.056, + "step": 614 + }, + { + "epoch": 1.55, + "learning_rate": 2.5664961636828646e-05, + "loss": 0.0278, + "step": 615 + }, + { + "epoch": 1.56, + "learning_rate": 2.5657289002557544e-05, + "loss": 0.9947, + "step": 616 + }, + { + "epoch": 1.56, + "learning_rate": 2.5649616368286445e-05, + "loss": 0.0627, + "step": 617 + }, + { + "epoch": 1.56, + "learning_rate": 2.5641943734015347e-05, + "loss": 0.9335, + "step": 618 + }, + { + "epoch": 1.56, + "learning_rate": 2.5634271099744245e-05, + "loss": 0.9793, + "step": 619 + }, + { + "epoch": 1.57, + "learning_rate": 2.5626598465473147e-05, + "loss": 1.8128, + "step": 620 + }, + { + "epoch": 1.57, + "learning_rate": 2.561892583120205e-05, + "loss": 1.8015, + "step": 621 + }, + { + "epoch": 1.57, + "learning_rate": 2.5611253196930947e-05, + "loss": 0.9259, + "step": 622 + }, + { + "epoch": 1.57, + "learning_rate": 2.560358056265985e-05, + "loss": 0.9618, + "step": 623 + }, + { + "epoch": 1.58, + "learning_rate": 2.5595907928388747e-05, + "loss": 0.0808, + "step": 624 + }, + { + "epoch": 1.58, + "learning_rate": 2.5588235294117648e-05, + "loss": 1.7161, + "step": 625 + }, + { + "epoch": 1.58, + "learning_rate": 2.558056265984655e-05, + "loss": 0.8879, + "step": 626 + }, + { + "epoch": 1.58, + "learning_rate": 2.5572890025575448e-05, + "loss": 0.043, + "step": 627 + }, + { + "epoch": 1.59, + "learning_rate": 2.5565217391304346e-05, + "loss": 0.9449, + "step": 628 + }, + { + "epoch": 1.59, + "learning_rate": 2.555754475703325e-05, + "loss": 0.0624, + "step": 629 + }, + { + "epoch": 1.59, + "learning_rate": 2.554987212276215e-05, + "loss": 0.0924, + "step": 630 + }, + { + "epoch": 1.59, + "learning_rate": 2.5542199488491048e-05, + "loss": 0.0715, + "step": 631 + }, + { + "epoch": 1.6, + "learning_rate": 2.553452685421995e-05, + "loss": 0.4995, + "step": 632 + }, + { + "epoch": 1.6, + "learning_rate": 2.552685421994885e-05, + "loss": 0.5576, + "step": 633 + }, + { + "epoch": 1.6, + "learning_rate": 2.551918158567775e-05, + "loss": 0.06, + "step": 634 + }, + { + "epoch": 1.6, + "learning_rate": 2.551150895140665e-05, + "loss": 0.0873, + "step": 635 + }, + { + "epoch": 1.61, + "learning_rate": 2.550383631713555e-05, + "loss": 0.6868, + "step": 636 + }, + { + "epoch": 1.61, + "learning_rate": 2.549616368286445e-05, + "loss": 0.8487, + "step": 637 + }, + { + "epoch": 1.61, + "learning_rate": 2.5488491048593352e-05, + "loss": 0.5641, + "step": 638 + }, + { + "epoch": 1.61, + "learning_rate": 2.548081841432225e-05, + "loss": 1.1343, + "step": 639 + }, + { + "epoch": 1.62, + "learning_rate": 2.547314578005115e-05, + "loss": 0.0614, + "step": 640 + }, + { + "epoch": 1.62, + "learning_rate": 2.5465473145780054e-05, + "loss": 0.9414, + "step": 641 + }, + { + "epoch": 1.62, + "learning_rate": 2.5457800511508952e-05, + "loss": 0.9226, + "step": 642 + }, + { + "epoch": 1.62, + "learning_rate": 2.545012787723785e-05, + "loss": 0.3323, + "step": 643 + }, + { + "epoch": 1.63, + "learning_rate": 2.5442455242966752e-05, + "loss": 0.9315, + "step": 644 + }, + { + "epoch": 1.63, + "learning_rate": 2.5434782608695653e-05, + "loss": 0.5539, + "step": 645 + }, + { + "epoch": 1.63, + "learning_rate": 2.542710997442455e-05, + "loss": 0.3376, + "step": 646 + }, + { + "epoch": 1.63, + "learning_rate": 2.5419437340153453e-05, + "loss": 0.0694, + "step": 647 + }, + { + "epoch": 1.64, + "learning_rate": 2.5411764705882355e-05, + "loss": 0.0706, + "step": 648 + }, + { + "epoch": 1.64, + "learning_rate": 2.5404092071611253e-05, + "loss": 0.105, + "step": 649 + }, + { + "epoch": 1.64, + "learning_rate": 2.5396419437340155e-05, + "loss": 0.912, + "step": 650 + }, + { + "epoch": 1.64, + "learning_rate": 2.5388746803069053e-05, + "loss": 0.0998, + "step": 651 + }, + { + "epoch": 1.65, + "learning_rate": 2.5381074168797954e-05, + "loss": 0.2247, + "step": 652 + }, + { + "epoch": 1.65, + "learning_rate": 2.5373401534526856e-05, + "loss": 0.2869, + "step": 653 + }, + { + "epoch": 1.65, + "learning_rate": 2.5365728900255754e-05, + "loss": 0.532, + "step": 654 + }, + { + "epoch": 1.65, + "learning_rate": 2.5358056265984653e-05, + "loss": 0.4723, + "step": 655 + }, + { + "epoch": 1.66, + "learning_rate": 2.5350383631713558e-05, + "loss": 0.1178, + "step": 656 + }, + { + "epoch": 1.66, + "learning_rate": 2.5342710997442456e-05, + "loss": 0.0566, + "step": 657 + }, + { + "epoch": 1.66, + "learning_rate": 2.5335038363171357e-05, + "loss": 0.059, + "step": 658 + }, + { + "epoch": 1.66, + "learning_rate": 2.5327365728900256e-05, + "loss": 0.0881, + "step": 659 + }, + { + "epoch": 1.67, + "learning_rate": 2.5319693094629157e-05, + "loss": 0.5762, + "step": 660 + }, + { + "epoch": 1.67, + "learning_rate": 2.531202046035806e-05, + "loss": 0.0499, + "step": 661 + }, + { + "epoch": 1.67, + "learning_rate": 2.5304347826086957e-05, + "loss": 0.087, + "step": 662 + }, + { + "epoch": 1.67, + "learning_rate": 2.5296675191815855e-05, + "loss": 1.0719, + "step": 663 + }, + { + "epoch": 1.68, + "learning_rate": 2.528900255754476e-05, + "loss": 0.6158, + "step": 664 + }, + { + "epoch": 1.68, + "learning_rate": 2.528132992327366e-05, + "loss": 0.6117, + "step": 665 + }, + { + "epoch": 1.68, + "learning_rate": 2.5273657289002557e-05, + "loss": 0.0515, + "step": 666 + }, + { + "epoch": 1.68, + "learning_rate": 2.5265984654731458e-05, + "loss": 0.0608, + "step": 667 + }, + { + "epoch": 1.69, + "learning_rate": 2.525831202046036e-05, + "loss": 0.0313, + "step": 668 + }, + { + "epoch": 1.69, + "learning_rate": 2.5250639386189258e-05, + "loss": 0.1449, + "step": 669 + }, + { + "epoch": 1.69, + "learning_rate": 2.524296675191816e-05, + "loss": 0.9883, + "step": 670 + }, + { + "epoch": 1.69, + "learning_rate": 2.523529411764706e-05, + "loss": 0.0859, + "step": 671 + }, + { + "epoch": 1.7, + "learning_rate": 2.522762148337596e-05, + "loss": 0.0561, + "step": 672 + }, + { + "epoch": 1.7, + "learning_rate": 2.521994884910486e-05, + "loss": 0.0926, + "step": 673 + }, + { + "epoch": 1.7, + "learning_rate": 2.521227621483376e-05, + "loss": 0.1101, + "step": 674 + }, + { + "epoch": 1.7, + "learning_rate": 2.520460358056266e-05, + "loss": 0.068, + "step": 675 + }, + { + "epoch": 1.71, + "learning_rate": 2.5196930946291563e-05, + "loss": 0.0773, + "step": 676 + }, + { + "epoch": 1.71, + "learning_rate": 2.518925831202046e-05, + "loss": 0.0508, + "step": 677 + }, + { + "epoch": 1.71, + "learning_rate": 2.518158567774936e-05, + "loss": 0.0375, + "step": 678 + }, + { + "epoch": 1.71, + "learning_rate": 2.5173913043478264e-05, + "loss": 0.93, + "step": 679 + }, + { + "epoch": 1.72, + "learning_rate": 2.5166240409207162e-05, + "loss": 0.1507, + "step": 680 + }, + { + "epoch": 1.72, + "learning_rate": 2.515856777493606e-05, + "loss": 0.0917, + "step": 681 + }, + { + "epoch": 1.72, + "learning_rate": 2.5150895140664962e-05, + "loss": 0.97, + "step": 682 + }, + { + "epoch": 1.72, + "learning_rate": 2.5143222506393864e-05, + "loss": 0.5019, + "step": 683 + }, + { + "epoch": 1.73, + "learning_rate": 2.5135549872122762e-05, + "loss": 0.0849, + "step": 684 + }, + { + "epoch": 1.73, + "learning_rate": 2.5127877237851664e-05, + "loss": 1.2316, + "step": 685 + }, + { + "epoch": 1.73, + "learning_rate": 2.5120204603580562e-05, + "loss": 0.0252, + "step": 686 + }, + { + "epoch": 1.73, + "learning_rate": 2.5112531969309463e-05, + "loss": 1.0543, + "step": 687 + }, + { + "epoch": 1.74, + "learning_rate": 2.5104859335038365e-05, + "loss": 0.0506, + "step": 688 + }, + { + "epoch": 1.74, + "learning_rate": 2.5097186700767263e-05, + "loss": 0.0252, + "step": 689 + }, + { + "epoch": 1.74, + "learning_rate": 2.508951406649616e-05, + "loss": 0.6297, + "step": 690 + }, + { + "epoch": 1.74, + "learning_rate": 2.5081841432225066e-05, + "loss": 0.4497, + "step": 691 + }, + { + "epoch": 1.75, + "learning_rate": 2.5074168797953965e-05, + "loss": 0.0516, + "step": 692 + }, + { + "epoch": 1.75, + "learning_rate": 2.5066496163682863e-05, + "loss": 0.5501, + "step": 693 + }, + { + "epoch": 1.75, + "learning_rate": 2.5058823529411768e-05, + "loss": 0.5621, + "step": 694 + }, + { + "epoch": 1.76, + "learning_rate": 2.5051150895140666e-05, + "loss": 0.0577, + "step": 695 + }, + { + "epoch": 1.76, + "learning_rate": 2.5043478260869564e-05, + "loss": 0.0271, + "step": 696 + }, + { + "epoch": 1.76, + "learning_rate": 2.5035805626598466e-05, + "loss": 0.9496, + "step": 697 + }, + { + "epoch": 1.76, + "learning_rate": 2.5028132992327368e-05, + "loss": 0.0877, + "step": 698 + }, + { + "epoch": 1.77, + "learning_rate": 2.5020460358056266e-05, + "loss": 0.0523, + "step": 699 + }, + { + "epoch": 1.77, + "learning_rate": 2.5012787723785167e-05, + "loss": 0.0577, + "step": 700 + }, + { + "epoch": 1.77, + "learning_rate": 2.5005115089514066e-05, + "loss": 0.0522, + "step": 701 + }, + { + "epoch": 1.77, + "learning_rate": 2.4997442455242967e-05, + "loss": 0.0517, + "step": 702 + }, + { + "epoch": 1.78, + "learning_rate": 2.498976982097187e-05, + "loss": 0.6335, + "step": 703 + }, + { + "epoch": 1.78, + "learning_rate": 2.4982097186700767e-05, + "loss": 0.05, + "step": 704 + }, + { + "epoch": 1.78, + "learning_rate": 2.4974424552429665e-05, + "loss": 0.0753, + "step": 705 + }, + { + "epoch": 1.78, + "learning_rate": 2.496675191815857e-05, + "loss": 0.0227, + "step": 706 + }, + { + "epoch": 1.79, + "learning_rate": 2.495907928388747e-05, + "loss": 0.0755, + "step": 707 + }, + { + "epoch": 1.79, + "learning_rate": 2.4951406649616367e-05, + "loss": 0.0215, + "step": 708 + }, + { + "epoch": 1.79, + "learning_rate": 2.494373401534527e-05, + "loss": 0.0451, + "step": 709 + }, + { + "epoch": 1.79, + "learning_rate": 2.493606138107417e-05, + "loss": 0.0343, + "step": 710 + }, + { + "epoch": 1.8, + "learning_rate": 2.492838874680307e-05, + "loss": 0.0836, + "step": 711 + }, + { + "epoch": 1.8, + "learning_rate": 2.492071611253197e-05, + "loss": 0.5287, + "step": 712 + }, + { + "epoch": 1.8, + "learning_rate": 2.4913043478260868e-05, + "loss": 0.0686, + "step": 713 + }, + { + "epoch": 1.8, + "learning_rate": 2.4905370843989773e-05, + "loss": 0.0211, + "step": 714 + }, + { + "epoch": 1.81, + "learning_rate": 2.489769820971867e-05, + "loss": 0.5932, + "step": 715 + }, + { + "epoch": 1.81, + "learning_rate": 2.489002557544757e-05, + "loss": 0.0371, + "step": 716 + }, + { + "epoch": 1.81, + "learning_rate": 2.488235294117647e-05, + "loss": 1.0137, + "step": 717 + }, + { + "epoch": 1.81, + "learning_rate": 2.4874680306905373e-05, + "loss": 0.9928, + "step": 718 + }, + { + "epoch": 1.82, + "learning_rate": 2.486700767263427e-05, + "loss": 0.7431, + "step": 719 + }, + { + "epoch": 1.82, + "learning_rate": 2.4859335038363173e-05, + "loss": 0.0207, + "step": 720 + }, + { + "epoch": 1.82, + "learning_rate": 2.4851662404092074e-05, + "loss": 0.0681, + "step": 721 + }, + { + "epoch": 1.82, + "learning_rate": 2.4843989769820972e-05, + "loss": 0.0306, + "step": 722 + }, + { + "epoch": 1.83, + "learning_rate": 2.4836317135549874e-05, + "loss": 0.0204, + "step": 723 + }, + { + "epoch": 1.83, + "learning_rate": 2.4828644501278772e-05, + "loss": 0.0344, + "step": 724 + }, + { + "epoch": 1.83, + "learning_rate": 2.4820971867007674e-05, + "loss": 0.0345, + "step": 725 + }, + { + "epoch": 1.83, + "learning_rate": 2.4813299232736575e-05, + "loss": 0.9275, + "step": 726 + }, + { + "epoch": 1.84, + "learning_rate": 2.4805626598465474e-05, + "loss": 0.0196, + "step": 727 + }, + { + "epoch": 1.84, + "learning_rate": 2.4797953964194372e-05, + "loss": 1.0137, + "step": 728 + }, + { + "epoch": 1.84, + "learning_rate": 2.4790281329923277e-05, + "loss": 0.0318, + "step": 729 + }, + { + "epoch": 1.84, + "learning_rate": 2.4782608695652175e-05, + "loss": 0.0688, + "step": 730 + }, + { + "epoch": 1.85, + "learning_rate": 2.4774936061381073e-05, + "loss": 0.0314, + "step": 731 + }, + { + "epoch": 1.85, + "learning_rate": 2.4767263427109975e-05, + "loss": 0.7135, + "step": 732 + }, + { + "epoch": 1.85, + "learning_rate": 2.4759590792838877e-05, + "loss": 0.0299, + "step": 733 + }, + { + "epoch": 1.85, + "learning_rate": 2.4751918158567775e-05, + "loss": 1.0127, + "step": 734 + }, + { + "epoch": 1.86, + "learning_rate": 2.4744245524296676e-05, + "loss": 0.0304, + "step": 735 + }, + { + "epoch": 1.86, + "learning_rate": 2.4736572890025575e-05, + "loss": 1.4618, + "step": 736 + }, + { + "epoch": 1.86, + "learning_rate": 2.4728900255754476e-05, + "loss": 0.7167, + "step": 737 + }, + { + "epoch": 1.86, + "learning_rate": 2.4721227621483378e-05, + "loss": 0.0307, + "step": 738 + }, + { + "epoch": 1.87, + "learning_rate": 2.4713554987212276e-05, + "loss": 0.052, + "step": 739 + }, + { + "epoch": 1.87, + "learning_rate": 2.4705882352941174e-05, + "loss": 0.778, + "step": 740 + }, + { + "epoch": 1.87, + "learning_rate": 2.469820971867008e-05, + "loss": 0.5482, + "step": 741 + }, + { + "epoch": 1.87, + "learning_rate": 2.4690537084398978e-05, + "loss": 1.4314, + "step": 742 + }, + { + "epoch": 1.88, + "learning_rate": 2.4682864450127876e-05, + "loss": 0.0422, + "step": 743 + }, + { + "epoch": 1.88, + "learning_rate": 2.467519181585678e-05, + "loss": 0.6614, + "step": 744 + }, + { + "epoch": 1.88, + "learning_rate": 2.466751918158568e-05, + "loss": 0.0312, + "step": 745 + }, + { + "epoch": 1.88, + "learning_rate": 2.4659846547314577e-05, + "loss": 0.043, + "step": 746 + }, + { + "epoch": 1.89, + "learning_rate": 2.465217391304348e-05, + "loss": 0.0199, + "step": 747 + }, + { + "epoch": 1.89, + "learning_rate": 2.464450127877238e-05, + "loss": 0.0832, + "step": 748 + }, + { + "epoch": 1.89, + "learning_rate": 2.463682864450128e-05, + "loss": 0.0312, + "step": 749 + }, + { + "epoch": 1.89, + "learning_rate": 2.462915601023018e-05, + "loss": 0.0309, + "step": 750 + }, + { + "epoch": 1.9, + "learning_rate": 2.462148337595908e-05, + "loss": 0.0193, + "step": 751 + }, + { + "epoch": 1.9, + "learning_rate": 2.461381074168798e-05, + "loss": 0.0446, + "step": 752 + }, + { + "epoch": 1.9, + "learning_rate": 2.4606138107416882e-05, + "loss": 0.9993, + "step": 753 + }, + { + "epoch": 1.9, + "learning_rate": 2.459846547314578e-05, + "loss": 0.016, + "step": 754 + }, + { + "epoch": 1.91, + "learning_rate": 2.4590792838874678e-05, + "loss": 0.0433, + "step": 755 + }, + { + "epoch": 1.91, + "learning_rate": 2.4583120204603583e-05, + "loss": 0.2614, + "step": 756 + }, + { + "epoch": 1.91, + "learning_rate": 2.457544757033248e-05, + "loss": 0.018, + "step": 757 + }, + { + "epoch": 1.91, + "learning_rate": 2.456777493606138e-05, + "loss": 0.6676, + "step": 758 + }, + { + "epoch": 1.92, + "learning_rate": 2.456010230179028e-05, + "loss": 0.0599, + "step": 759 + }, + { + "epoch": 1.92, + "learning_rate": 2.4552429667519183e-05, + "loss": 0.0338, + "step": 760 + }, + { + "epoch": 1.92, + "learning_rate": 2.454475703324808e-05, + "loss": 0.0268, + "step": 761 + }, + { + "epoch": 1.92, + "learning_rate": 2.4537084398976983e-05, + "loss": 0.0262, + "step": 762 + }, + { + "epoch": 1.93, + "learning_rate": 2.452941176470588e-05, + "loss": 0.0252, + "step": 763 + }, + { + "epoch": 1.93, + "learning_rate": 2.4521739130434786e-05, + "loss": 0.0377, + "step": 764 + }, + { + "epoch": 1.93, + "learning_rate": 2.4514066496163684e-05, + "loss": 1.4866, + "step": 765 + }, + { + "epoch": 1.93, + "learning_rate": 2.4506393861892582e-05, + "loss": 1.0524, + "step": 766 + }, + { + "epoch": 1.94, + "learning_rate": 2.4498721227621484e-05, + "loss": 0.0328, + "step": 767 + }, + { + "epoch": 1.94, + "learning_rate": 2.4491048593350386e-05, + "loss": 0.024, + "step": 768 + }, + { + "epoch": 1.94, + "learning_rate": 2.4483375959079284e-05, + "loss": 0.022, + "step": 769 + }, + { + "epoch": 1.94, + "learning_rate": 2.4475703324808185e-05, + "loss": 0.0245, + "step": 770 + }, + { + "epoch": 1.95, + "learning_rate": 2.4468030690537087e-05, + "loss": 1.0107, + "step": 771 + }, + { + "epoch": 1.95, + "learning_rate": 2.4460358056265985e-05, + "loss": 0.0336, + "step": 772 + }, + { + "epoch": 1.95, + "learning_rate": 2.4452685421994887e-05, + "loss": 0.0391, + "step": 773 + }, + { + "epoch": 1.95, + "learning_rate": 2.4445012787723785e-05, + "loss": 0.0303, + "step": 774 + }, + { + "epoch": 1.96, + "learning_rate": 2.4437340153452687e-05, + "loss": 0.0443, + "step": 775 + }, + { + "epoch": 1.96, + "learning_rate": 2.4429667519181588e-05, + "loss": 0.0292, + "step": 776 + }, + { + "epoch": 1.96, + "learning_rate": 2.4421994884910487e-05, + "loss": 0.0284, + "step": 777 + }, + { + "epoch": 1.96, + "learning_rate": 2.4414322250639385e-05, + "loss": 1.5985, + "step": 778 + }, + { + "epoch": 1.97, + "learning_rate": 2.440664961636829e-05, + "loss": 0.0114, + "step": 779 + }, + { + "epoch": 1.97, + "learning_rate": 2.4398976982097188e-05, + "loss": 0.0342, + "step": 780 + }, + { + "epoch": 1.97, + "learning_rate": 2.4391304347826086e-05, + "loss": 1.8501, + "step": 781 + }, + { + "epoch": 1.97, + "learning_rate": 2.4383631713554988e-05, + "loss": 0.5375, + "step": 782 + }, + { + "epoch": 1.98, + "learning_rate": 2.437595907928389e-05, + "loss": 1.589, + "step": 783 + }, + { + "epoch": 1.98, + "learning_rate": 2.4368286445012788e-05, + "loss": 0.0221, + "step": 784 + }, + { + "epoch": 1.98, + "learning_rate": 2.436061381074169e-05, + "loss": 0.0453, + "step": 785 + }, + { + "epoch": 1.98, + "learning_rate": 2.4352941176470587e-05, + "loss": 0.796, + "step": 786 + }, + { + "epoch": 1.99, + "learning_rate": 2.434526854219949e-05, + "loss": 0.1249, + "step": 787 + }, + { + "epoch": 1.99, + "learning_rate": 2.433759590792839e-05, + "loss": 0.7963, + "step": 788 + }, + { + "epoch": 1.99, + "learning_rate": 2.432992327365729e-05, + "loss": 0.4231, + "step": 789 + }, + { + "epoch": 1.99, + "learning_rate": 2.4322250639386187e-05, + "loss": 0.0247, + "step": 790 + }, + { + "epoch": 2.0, + "learning_rate": 2.4314578005115092e-05, + "loss": 0.0295, + "step": 791 + }, + { + "epoch": 2.0, + "learning_rate": 2.430690537084399e-05, + "loss": 0.0249, + "step": 792 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.9065656565656566, + "eval_loss": 0.3537317216396332, + "eval_runtime": 58.1226, + "eval_samples_per_second": 6.813, + "eval_steps_per_second": 1.703, + "step": 792 + }, + { + "epoch": 2.0, + "learning_rate": 2.429923273657289e-05, + "loss": 0.0157, + "step": 793 + }, + { + "epoch": 2.01, + "learning_rate": 2.4291560102301794e-05, + "loss": 0.5222, + "step": 794 + }, + { + "epoch": 2.01, + "learning_rate": 2.4283887468030692e-05, + "loss": 0.0226, + "step": 795 + }, + { + "epoch": 2.01, + "learning_rate": 2.427621483375959e-05, + "loss": 0.0293, + "step": 796 + }, + { + "epoch": 2.01, + "learning_rate": 2.426854219948849e-05, + "loss": 0.015, + "step": 797 + }, + { + "epoch": 2.02, + "learning_rate": 2.4260869565217393e-05, + "loss": 1.0658, + "step": 798 + }, + { + "epoch": 2.02, + "learning_rate": 2.425319693094629e-05, + "loss": 0.0412, + "step": 799 + }, + { + "epoch": 2.02, + "learning_rate": 2.4245524296675193e-05, + "loss": 0.0219, + "step": 800 + }, + { + "epoch": 2.02, + "learning_rate": 2.423785166240409e-05, + "loss": 0.0149, + "step": 801 + }, + { + "epoch": 2.03, + "learning_rate": 2.4230179028132993e-05, + "loss": 0.0323, + "step": 802 + }, + { + "epoch": 2.03, + "learning_rate": 2.4222506393861895e-05, + "loss": 1.0764, + "step": 803 + }, + { + "epoch": 2.03, + "learning_rate": 2.4214833759590793e-05, + "loss": 0.7518, + "step": 804 + }, + { + "epoch": 2.03, + "learning_rate": 2.420716112531969e-05, + "loss": 0.8166, + "step": 805 + }, + { + "epoch": 2.04, + "learning_rate": 2.4199488491048596e-05, + "loss": 0.0219, + "step": 806 + }, + { + "epoch": 2.04, + "learning_rate": 2.4191815856777494e-05, + "loss": 0.0154, + "step": 807 + }, + { + "epoch": 2.04, + "learning_rate": 2.4184143222506392e-05, + "loss": 0.0163, + "step": 808 + }, + { + "epoch": 2.04, + "learning_rate": 2.4176470588235294e-05, + "loss": 1.0562, + "step": 809 + }, + { + "epoch": 2.05, + "learning_rate": 2.4168797953964196e-05, + "loss": 0.0218, + "step": 810 + }, + { + "epoch": 2.05, + "learning_rate": 2.4161125319693094e-05, + "loss": 0.0232, + "step": 811 + }, + { + "epoch": 2.05, + "learning_rate": 2.4153452685421995e-05, + "loss": 0.2384, + "step": 812 + }, + { + "epoch": 2.05, + "learning_rate": 2.4145780051150894e-05, + "loss": 1.5286, + "step": 813 + }, + { + "epoch": 2.06, + "learning_rate": 2.4138107416879795e-05, + "loss": 0.0262, + "step": 814 + }, + { + "epoch": 2.06, + "learning_rate": 2.4130434782608697e-05, + "loss": 0.0334, + "step": 815 + }, + { + "epoch": 2.06, + "learning_rate": 2.4122762148337595e-05, + "loss": 0.6509, + "step": 816 + }, + { + "epoch": 2.06, + "learning_rate": 2.4115089514066497e-05, + "loss": 0.0159, + "step": 817 + }, + { + "epoch": 2.07, + "learning_rate": 2.41074168797954e-05, + "loss": 0.6225, + "step": 818 + }, + { + "epoch": 2.07, + "learning_rate": 2.4099744245524297e-05, + "loss": 0.752, + "step": 819 + }, + { + "epoch": 2.07, + "learning_rate": 2.4092071611253198e-05, + "loss": 1.0594, + "step": 820 + }, + { + "epoch": 2.07, + "learning_rate": 2.40843989769821e-05, + "loss": 0.0161, + "step": 821 + }, + { + "epoch": 2.08, + "learning_rate": 2.4076726342710998e-05, + "loss": 0.7492, + "step": 822 + }, + { + "epoch": 2.08, + "learning_rate": 2.40690537084399e-05, + "loss": 0.0302, + "step": 823 + }, + { + "epoch": 2.08, + "learning_rate": 2.4061381074168798e-05, + "loss": 0.038, + "step": 824 + }, + { + "epoch": 2.08, + "learning_rate": 2.40537084398977e-05, + "loss": 0.0243, + "step": 825 + }, + { + "epoch": 2.09, + "learning_rate": 2.40460358056266e-05, + "loss": 0.0331, + "step": 826 + }, + { + "epoch": 2.09, + "learning_rate": 2.40383631713555e-05, + "loss": 1.0252, + "step": 827 + }, + { + "epoch": 2.09, + "learning_rate": 2.4030690537084398e-05, + "loss": 0.0172, + "step": 828 + }, + { + "epoch": 2.09, + "learning_rate": 2.4023017902813303e-05, + "loss": 0.6168, + "step": 829 + }, + { + "epoch": 2.1, + "learning_rate": 2.40153452685422e-05, + "loss": 0.3135, + "step": 830 + }, + { + "epoch": 2.1, + "learning_rate": 2.40076726342711e-05, + "loss": 0.0168, + "step": 831 + }, + { + "epoch": 2.1, + "learning_rate": 2.4e-05, + "loss": 0.0172, + "step": 832 + }, + { + "epoch": 2.1, + "learning_rate": 2.3992327365728902e-05, + "loss": 1.0349, + "step": 833 + }, + { + "epoch": 2.11, + "learning_rate": 2.39846547314578e-05, + "loss": 0.0978, + "step": 834 + }, + { + "epoch": 2.11, + "learning_rate": 2.3976982097186702e-05, + "loss": 0.0167, + "step": 835 + }, + { + "epoch": 2.11, + "learning_rate": 2.39693094629156e-05, + "loss": 1.0381, + "step": 836 + }, + { + "epoch": 2.11, + "learning_rate": 2.3961636828644502e-05, + "loss": 0.6857, + "step": 837 + }, + { + "epoch": 2.12, + "learning_rate": 2.3953964194373404e-05, + "loss": 1.0406, + "step": 838 + }, + { + "epoch": 2.12, + "learning_rate": 2.3946291560102302e-05, + "loss": 0.071, + "step": 839 + }, + { + "epoch": 2.12, + "learning_rate": 2.39386189258312e-05, + "loss": 0.0193, + "step": 840 + }, + { + "epoch": 2.12, + "learning_rate": 2.3930946291560105e-05, + "loss": 0.0193, + "step": 841 + }, + { + "epoch": 2.13, + "learning_rate": 2.3923273657289003e-05, + "loss": 0.9916, + "step": 842 + }, + { + "epoch": 2.13, + "learning_rate": 2.39156010230179e-05, + "loss": 0.0723, + "step": 843 + }, + { + "epoch": 2.13, + "learning_rate": 2.3907928388746806e-05, + "loss": 0.0626, + "step": 844 + }, + { + "epoch": 2.13, + "learning_rate": 2.3900255754475705e-05, + "loss": 0.7264, + "step": 845 + }, + { + "epoch": 2.14, + "learning_rate": 2.3892583120204603e-05, + "loss": 0.827, + "step": 846 + }, + { + "epoch": 2.14, + "learning_rate": 2.3884910485933504e-05, + "loss": 1.2193, + "step": 847 + }, + { + "epoch": 2.14, + "learning_rate": 2.3877237851662406e-05, + "loss": 0.6754, + "step": 848 + }, + { + "epoch": 2.14, + "learning_rate": 2.3869565217391304e-05, + "loss": 0.6856, + "step": 849 + }, + { + "epoch": 2.15, + "learning_rate": 2.3861892583120206e-05, + "loss": 0.7441, + "step": 850 + }, + { + "epoch": 2.15, + "learning_rate": 2.3854219948849104e-05, + "loss": 0.023, + "step": 851 + }, + { + "epoch": 2.15, + "learning_rate": 2.3846547314578006e-05, + "loss": 0.4742, + "step": 852 + }, + { + "epoch": 2.15, + "learning_rate": 2.3838874680306907e-05, + "loss": 0.0363, + "step": 853 + }, + { + "epoch": 2.16, + "learning_rate": 2.3831202046035806e-05, + "loss": 0.0409, + "step": 854 + }, + { + "epoch": 2.16, + "learning_rate": 2.3823529411764704e-05, + "loss": 0.8353, + "step": 855 + }, + { + "epoch": 2.16, + "learning_rate": 2.381585677749361e-05, + "loss": 0.0333, + "step": 856 + }, + { + "epoch": 2.16, + "learning_rate": 2.3808184143222507e-05, + "loss": 0.0216, + "step": 857 + }, + { + "epoch": 2.17, + "learning_rate": 2.3800511508951405e-05, + "loss": 0.9688, + "step": 858 + }, + { + "epoch": 2.17, + "learning_rate": 2.3792838874680307e-05, + "loss": 1.0078, + "step": 859 + }, + { + "epoch": 2.17, + "learning_rate": 2.378516624040921e-05, + "loss": 0.0183, + "step": 860 + }, + { + "epoch": 2.17, + "learning_rate": 2.3777493606138107e-05, + "loss": 0.0183, + "step": 861 + }, + { + "epoch": 2.18, + "learning_rate": 2.3769820971867008e-05, + "loss": 0.9786, + "step": 862 + }, + { + "epoch": 2.18, + "learning_rate": 2.3762148337595907e-05, + "loss": 0.9166, + "step": 863 + }, + { + "epoch": 2.18, + "learning_rate": 2.3754475703324808e-05, + "loss": 1.1408, + "step": 864 + }, + { + "epoch": 2.18, + "learning_rate": 2.374680306905371e-05, + "loss": 1.1394, + "step": 865 + }, + { + "epoch": 2.19, + "learning_rate": 2.3739130434782608e-05, + "loss": 0.0185, + "step": 866 + }, + { + "epoch": 2.19, + "learning_rate": 2.373145780051151e-05, + "loss": 0.9979, + "step": 867 + }, + { + "epoch": 2.19, + "learning_rate": 2.372378516624041e-05, + "loss": 1.0092, + "step": 868 + }, + { + "epoch": 2.19, + "learning_rate": 2.371611253196931e-05, + "loss": 0.7276, + "step": 869 + }, + { + "epoch": 2.2, + "learning_rate": 2.370843989769821e-05, + "loss": 0.0359, + "step": 870 + }, + { + "epoch": 2.2, + "learning_rate": 2.3700767263427113e-05, + "loss": 0.0864, + "step": 871 + }, + { + "epoch": 2.2, + "learning_rate": 2.369309462915601e-05, + "loss": 0.0246, + "step": 872 + }, + { + "epoch": 2.2, + "learning_rate": 2.3685421994884912e-05, + "loss": 0.8518, + "step": 873 + }, + { + "epoch": 2.21, + "learning_rate": 2.367774936061381e-05, + "loss": 1.433, + "step": 874 + }, + { + "epoch": 2.21, + "learning_rate": 2.3670076726342712e-05, + "loss": 0.035, + "step": 875 + }, + { + "epoch": 2.21, + "learning_rate": 2.3662404092071614e-05, + "loss": 0.5922, + "step": 876 + }, + { + "epoch": 2.21, + "learning_rate": 2.3654731457800512e-05, + "loss": 0.529, + "step": 877 + }, + { + "epoch": 2.22, + "learning_rate": 2.364705882352941e-05, + "loss": 0.6423, + "step": 878 + }, + { + "epoch": 2.22, + "learning_rate": 2.3639386189258315e-05, + "loss": 0.0337, + "step": 879 + }, + { + "epoch": 2.22, + "learning_rate": 2.3631713554987214e-05, + "loss": 0.0402, + "step": 880 + }, + { + "epoch": 2.22, + "learning_rate": 2.3624040920716112e-05, + "loss": 0.0782, + "step": 881 + }, + { + "epoch": 2.23, + "learning_rate": 2.3616368286445013e-05, + "loss": 0.4141, + "step": 882 + }, + { + "epoch": 2.23, + "learning_rate": 2.3608695652173915e-05, + "loss": 0.0359, + "step": 883 + }, + { + "epoch": 2.23, + "learning_rate": 2.3601023017902813e-05, + "loss": 0.4509, + "step": 884 + }, + { + "epoch": 2.23, + "learning_rate": 2.3593350383631715e-05, + "loss": 0.6414, + "step": 885 + }, + { + "epoch": 2.24, + "learning_rate": 2.3585677749360613e-05, + "loss": 0.6873, + "step": 886 + }, + { + "epoch": 2.24, + "learning_rate": 2.3578005115089515e-05, + "loss": 0.0304, + "step": 887 + }, + { + "epoch": 2.24, + "learning_rate": 2.3570332480818416e-05, + "loss": 0.0315, + "step": 888 + }, + { + "epoch": 2.24, + "learning_rate": 2.3562659846547315e-05, + "loss": 0.0896, + "step": 889 + }, + { + "epoch": 2.25, + "learning_rate": 2.3554987212276213e-05, + "loss": 0.0201, + "step": 890 + }, + { + "epoch": 2.25, + "learning_rate": 2.3547314578005118e-05, + "loss": 0.027, + "step": 891 + }, + { + "epoch": 2.25, + "learning_rate": 2.3539641943734016e-05, + "loss": 1.9853, + "step": 892 + }, + { + "epoch": 2.26, + "learning_rate": 2.3531969309462914e-05, + "loss": 2.9647, + "step": 893 + }, + { + "epoch": 2.26, + "learning_rate": 2.352429667519182e-05, + "loss": 1.9403, + "step": 894 + }, + { + "epoch": 2.26, + "learning_rate": 2.3516624040920717e-05, + "loss": 0.0193, + "step": 895 + }, + { + "epoch": 2.26, + "learning_rate": 2.3508951406649616e-05, + "loss": 0.9912, + "step": 896 + }, + { + "epoch": 2.27, + "learning_rate": 2.3501278772378517e-05, + "loss": 0.02, + "step": 897 + }, + { + "epoch": 2.27, + "learning_rate": 2.349360613810742e-05, + "loss": 0.9015, + "step": 898 + }, + { + "epoch": 2.27, + "learning_rate": 2.3485933503836317e-05, + "loss": 0.1294, + "step": 899 + }, + { + "epoch": 2.27, + "learning_rate": 2.347826086956522e-05, + "loss": 0.0559, + "step": 900 + }, + { + "epoch": 2.28, + "learning_rate": 2.3470588235294117e-05, + "loss": 1.8039, + "step": 901 + }, + { + "epoch": 2.28, + "learning_rate": 2.346291560102302e-05, + "loss": 0.0336, + "step": 902 + }, + { + "epoch": 2.28, + "learning_rate": 2.345524296675192e-05, + "loss": 0.0383, + "step": 903 + }, + { + "epoch": 2.28, + "learning_rate": 2.344757033248082e-05, + "loss": 0.0722, + "step": 904 + }, + { + "epoch": 2.29, + "learning_rate": 2.3439897698209717e-05, + "loss": 0.0278, + "step": 905 + }, + { + "epoch": 2.29, + "learning_rate": 2.343222506393862e-05, + "loss": 0.0684, + "step": 906 + }, + { + "epoch": 2.29, + "learning_rate": 2.342455242966752e-05, + "loss": 0.0236, + "step": 907 + }, + { + "epoch": 2.29, + "learning_rate": 2.3416879795396418e-05, + "loss": 0.0348, + "step": 908 + }, + { + "epoch": 2.3, + "learning_rate": 2.340920716112532e-05, + "loss": 0.0204, + "step": 909 + }, + { + "epoch": 2.3, + "learning_rate": 2.340153452685422e-05, + "loss": 0.8109, + "step": 910 + }, + { + "epoch": 2.3, + "learning_rate": 2.339386189258312e-05, + "loss": 0.0279, + "step": 911 + }, + { + "epoch": 2.3, + "learning_rate": 2.338618925831202e-05, + "loss": 0.0361, + "step": 912 + }, + { + "epoch": 2.31, + "learning_rate": 2.337851662404092e-05, + "loss": 0.0355, + "step": 913 + }, + { + "epoch": 2.31, + "learning_rate": 2.337084398976982e-05, + "loss": 0.7958, + "step": 914 + }, + { + "epoch": 2.31, + "learning_rate": 2.3363171355498723e-05, + "loss": 0.0362, + "step": 915 + }, + { + "epoch": 2.31, + "learning_rate": 2.335549872122762e-05, + "loss": 0.0252, + "step": 916 + }, + { + "epoch": 2.32, + "learning_rate": 2.3347826086956522e-05, + "loss": 0.8165, + "step": 917 + }, + { + "epoch": 2.32, + "learning_rate": 2.3340153452685424e-05, + "loss": 0.0237, + "step": 918 + }, + { + "epoch": 2.32, + "learning_rate": 2.3332480818414322e-05, + "loss": 0.8162, + "step": 919 + }, + { + "epoch": 2.32, + "learning_rate": 2.332480818414322e-05, + "loss": 0.7786, + "step": 920 + }, + { + "epoch": 2.33, + "learning_rate": 2.3317135549872125e-05, + "loss": 0.0787, + "step": 921 + }, + { + "epoch": 2.33, + "learning_rate": 2.3309462915601024e-05, + "loss": 0.1764, + "step": 922 + }, + { + "epoch": 2.33, + "learning_rate": 2.3301790281329925e-05, + "loss": 0.7449, + "step": 923 + }, + { + "epoch": 2.33, + "learning_rate": 2.3294117647058824e-05, + "loss": 0.0452, + "step": 924 + }, + { + "epoch": 2.34, + "learning_rate": 2.3286445012787725e-05, + "loss": 0.0181, + "step": 925 + }, + { + "epoch": 2.34, + "learning_rate": 2.3278772378516627e-05, + "loss": 0.1783, + "step": 926 + }, + { + "epoch": 2.34, + "learning_rate": 2.3271099744245525e-05, + "loss": 0.5158, + "step": 927 + }, + { + "epoch": 2.34, + "learning_rate": 2.3263427109974423e-05, + "loss": 0.7574, + "step": 928 + }, + { + "epoch": 2.35, + "learning_rate": 2.3255754475703328e-05, + "loss": 2.6099, + "step": 929 + }, + { + "epoch": 2.35, + "learning_rate": 2.3248081841432226e-05, + "loss": 0.0304, + "step": 930 + }, + { + "epoch": 2.35, + "learning_rate": 2.3240409207161125e-05, + "loss": 0.0795, + "step": 931 + }, + { + "epoch": 2.35, + "learning_rate": 2.3232736572890026e-05, + "loss": 0.0342, + "step": 932 + }, + { + "epoch": 2.36, + "learning_rate": 2.3225063938618928e-05, + "loss": 0.0473, + "step": 933 + }, + { + "epoch": 2.36, + "learning_rate": 2.3217391304347826e-05, + "loss": 0.0831, + "step": 934 + }, + { + "epoch": 2.36, + "learning_rate": 2.3209718670076728e-05, + "loss": 0.0465, + "step": 935 + }, + { + "epoch": 2.36, + "learning_rate": 2.3202046035805626e-05, + "loss": 0.6769, + "step": 936 + }, + { + "epoch": 2.37, + "learning_rate": 2.3194373401534528e-05, + "loss": 0.0173, + "step": 937 + }, + { + "epoch": 2.37, + "learning_rate": 2.318670076726343e-05, + "loss": 0.0169, + "step": 938 + }, + { + "epoch": 2.37, + "learning_rate": 2.3179028132992327e-05, + "loss": 0.0469, + "step": 939 + }, + { + "epoch": 2.37, + "learning_rate": 2.3171355498721226e-05, + "loss": 0.048, + "step": 940 + }, + { + "epoch": 2.38, + "learning_rate": 2.316368286445013e-05, + "loss": 1.0704, + "step": 941 + }, + { + "epoch": 2.38, + "learning_rate": 2.315601023017903e-05, + "loss": 1.0738, + "step": 942 + }, + { + "epoch": 2.38, + "learning_rate": 2.3148337595907927e-05, + "loss": 0.0163, + "step": 943 + }, + { + "epoch": 2.38, + "learning_rate": 2.3140664961636832e-05, + "loss": 2.0702, + "step": 944 + }, + { + "epoch": 2.39, + "learning_rate": 2.313299232736573e-05, + "loss": 1.0433, + "step": 945 + }, + { + "epoch": 2.39, + "learning_rate": 2.312531969309463e-05, + "loss": 1.0351, + "step": 946 + }, + { + "epoch": 2.39, + "learning_rate": 2.311764705882353e-05, + "loss": 1.053, + "step": 947 + }, + { + "epoch": 2.39, + "learning_rate": 2.3109974424552432e-05, + "loss": 0.1797, + "step": 948 + }, + { + "epoch": 2.4, + "learning_rate": 2.310230179028133e-05, + "loss": 1.0259, + "step": 949 + }, + { + "epoch": 2.4, + "learning_rate": 2.309462915601023e-05, + "loss": 0.03, + "step": 950 + }, + { + "epoch": 2.4, + "learning_rate": 2.308695652173913e-05, + "loss": 0.905, + "step": 951 + }, + { + "epoch": 2.4, + "learning_rate": 2.307928388746803e-05, + "loss": 0.0699, + "step": 952 + }, + { + "epoch": 2.41, + "learning_rate": 2.3071611253196933e-05, + "loss": 1.0013, + "step": 953 + }, + { + "epoch": 2.41, + "learning_rate": 2.306393861892583e-05, + "loss": 0.0319, + "step": 954 + }, + { + "epoch": 2.41, + "learning_rate": 2.305626598465473e-05, + "loss": 0.0361, + "step": 955 + }, + { + "epoch": 2.41, + "learning_rate": 2.3048593350383634e-05, + "loss": 0.0201, + "step": 956 + }, + { + "epoch": 2.42, + "learning_rate": 2.3040920716112533e-05, + "loss": 0.033, + "step": 957 + }, + { + "epoch": 2.42, + "learning_rate": 2.303324808184143e-05, + "loss": 0.0411, + "step": 958 + }, + { + "epoch": 2.42, + "learning_rate": 2.3025575447570332e-05, + "loss": 0.7138, + "step": 959 + }, + { + "epoch": 2.42, + "learning_rate": 2.3017902813299234e-05, + "loss": 0.0434, + "step": 960 + }, + { + "epoch": 2.43, + "learning_rate": 2.3010230179028132e-05, + "loss": 0.8445, + "step": 961 + }, + { + "epoch": 2.43, + "learning_rate": 2.3002557544757034e-05, + "loss": 0.0323, + "step": 962 + }, + { + "epoch": 2.43, + "learning_rate": 2.2994884910485932e-05, + "loss": 0.0203, + "step": 963 + }, + { + "epoch": 2.43, + "learning_rate": 2.2987212276214834e-05, + "loss": 0.2302, + "step": 964 + }, + { + "epoch": 2.44, + "learning_rate": 2.2979539641943735e-05, + "loss": 0.0293, + "step": 965 + }, + { + "epoch": 2.44, + "learning_rate": 2.2971867007672634e-05, + "loss": 0.0593, + "step": 966 + }, + { + "epoch": 2.44, + "learning_rate": 2.2964194373401535e-05, + "loss": 0.6505, + "step": 967 + }, + { + "epoch": 2.44, + "learning_rate": 2.2956521739130437e-05, + "loss": 0.5891, + "step": 968 + }, + { + "epoch": 2.45, + "learning_rate": 2.2948849104859335e-05, + "loss": 0.0191, + "step": 969 + }, + { + "epoch": 2.45, + "learning_rate": 2.2941176470588233e-05, + "loss": 0.0188, + "step": 970 + }, + { + "epoch": 2.45, + "learning_rate": 2.2933503836317138e-05, + "loss": 0.9537, + "step": 971 + }, + { + "epoch": 2.45, + "learning_rate": 2.2925831202046037e-05, + "loss": 0.0186, + "step": 972 + }, + { + "epoch": 2.46, + "learning_rate": 2.2918158567774935e-05, + "loss": 1.0237, + "step": 973 + }, + { + "epoch": 2.46, + "learning_rate": 2.2910485933503836e-05, + "loss": 0.0417, + "step": 974 + }, + { + "epoch": 2.46, + "learning_rate": 2.2902813299232738e-05, + "loss": 0.0369, + "step": 975 + }, + { + "epoch": 2.46, + "learning_rate": 2.289514066496164e-05, + "loss": 0.0184, + "step": 976 + }, + { + "epoch": 2.47, + "learning_rate": 2.2887468030690538e-05, + "loss": 0.811, + "step": 977 + }, + { + "epoch": 2.47, + "learning_rate": 2.2879795396419436e-05, + "loss": 0.0183, + "step": 978 + }, + { + "epoch": 2.47, + "learning_rate": 2.287212276214834e-05, + "loss": 1.0442, + "step": 979 + }, + { + "epoch": 2.47, + "learning_rate": 2.286445012787724e-05, + "loss": 0.027, + "step": 980 + }, + { + "epoch": 2.48, + "learning_rate": 2.2856777493606137e-05, + "loss": 0.062, + "step": 981 + }, + { + "epoch": 2.48, + "learning_rate": 2.284910485933504e-05, + "loss": 0.0186, + "step": 982 + }, + { + "epoch": 2.48, + "learning_rate": 2.284143222506394e-05, + "loss": 0.6057, + "step": 983 + }, + { + "epoch": 2.48, + "learning_rate": 2.283375959079284e-05, + "loss": 1.6594, + "step": 984 + }, + { + "epoch": 2.49, + "learning_rate": 2.282608695652174e-05, + "loss": 0.0192, + "step": 985 + }, + { + "epoch": 2.49, + "learning_rate": 2.281841432225064e-05, + "loss": 1.5361, + "step": 986 + }, + { + "epoch": 2.49, + "learning_rate": 2.281074168797954e-05, + "loss": 0.0384, + "step": 987 + }, + { + "epoch": 2.49, + "learning_rate": 2.2803069053708442e-05, + "loss": 2.0238, + "step": 988 + }, + { + "epoch": 2.5, + "learning_rate": 2.279539641943734e-05, + "loss": 0.0334, + "step": 989 + }, + { + "epoch": 2.5, + "learning_rate": 2.2787723785166242e-05, + "loss": 0.0571, + "step": 990 + }, + { + "epoch": 2.5, + "learning_rate": 2.2780051150895143e-05, + "loss": 0.0211, + "step": 991 + }, + { + "epoch": 2.51, + "learning_rate": 2.277237851662404e-05, + "loss": 0.0409, + "step": 992 + }, + { + "epoch": 2.51, + "learning_rate": 2.276470588235294e-05, + "loss": 0.1059, + "step": 993 + }, + { + "epoch": 2.51, + "learning_rate": 2.2757033248081845e-05, + "loss": 0.0277, + "step": 994 + }, + { + "epoch": 2.51, + "learning_rate": 2.2749360613810743e-05, + "loss": 1.0023, + "step": 995 + }, + { + "epoch": 2.52, + "learning_rate": 2.274168797953964e-05, + "loss": 0.0186, + "step": 996 + }, + { + "epoch": 2.52, + "learning_rate": 2.2734015345268543e-05, + "loss": 0.0345, + "step": 997 + }, + { + "epoch": 2.52, + "learning_rate": 2.2726342710997445e-05, + "loss": 0.0169, + "step": 998 + }, + { + "epoch": 2.52, + "learning_rate": 2.2718670076726343e-05, + "loss": 0.7292, + "step": 999 + }, + { + "epoch": 2.53, + "learning_rate": 2.2710997442455244e-05, + "loss": 1.2655, + "step": 1000 + }, + { + "epoch": 2.53, + "learning_rate": 2.2703324808184143e-05, + "loss": 0.03, + "step": 1001 + }, + { + "epoch": 2.53, + "learning_rate": 2.2695652173913044e-05, + "loss": 1.0266, + "step": 1002 + }, + { + "epoch": 2.53, + "learning_rate": 2.2687979539641946e-05, + "loss": 0.7645, + "step": 1003 + }, + { + "epoch": 2.54, + "learning_rate": 2.2680306905370844e-05, + "loss": 0.7985, + "step": 1004 + }, + { + "epoch": 2.54, + "learning_rate": 2.2672634271099742e-05, + "loss": 0.76, + "step": 1005 + }, + { + "epoch": 2.54, + "learning_rate": 2.2664961636828647e-05, + "loss": 0.7577, + "step": 1006 + }, + { + "epoch": 2.54, + "learning_rate": 2.2657289002557545e-05, + "loss": 0.0248, + "step": 1007 + }, + { + "epoch": 2.55, + "learning_rate": 2.2649616368286444e-05, + "loss": 0.0262, + "step": 1008 + }, + { + "epoch": 2.55, + "learning_rate": 2.2641943734015345e-05, + "loss": 1.9984, + "step": 1009 + }, + { + "epoch": 2.55, + "learning_rate": 2.2634271099744247e-05, + "loss": 0.1489, + "step": 1010 + }, + { + "epoch": 2.55, + "learning_rate": 2.2626598465473145e-05, + "loss": 0.0683, + "step": 1011 + }, + { + "epoch": 2.56, + "learning_rate": 2.2618925831202047e-05, + "loss": 0.054, + "step": 1012 + }, + { + "epoch": 2.56, + "learning_rate": 2.2611253196930945e-05, + "loss": 0.0269, + "step": 1013 + }, + { + "epoch": 2.56, + "learning_rate": 2.2603580562659847e-05, + "loss": 1.0378, + "step": 1014 + }, + { + "epoch": 2.56, + "learning_rate": 2.2595907928388748e-05, + "loss": 0.0171, + "step": 1015 + }, + { + "epoch": 2.57, + "learning_rate": 2.2588235294117646e-05, + "loss": 0.8433, + "step": 1016 + }, + { + "epoch": 2.57, + "learning_rate": 2.2580562659846548e-05, + "loss": 0.0468, + "step": 1017 + }, + { + "epoch": 2.57, + "learning_rate": 2.257289002557545e-05, + "loss": 0.0331, + "step": 1018 + }, + { + "epoch": 2.57, + "learning_rate": 2.2565217391304348e-05, + "loss": 0.0308, + "step": 1019 + }, + { + "epoch": 2.58, + "learning_rate": 2.2557544757033246e-05, + "loss": 1.0007, + "step": 1020 + }, + { + "epoch": 2.58, + "learning_rate": 2.254987212276215e-05, + "loss": 2.0242, + "step": 1021 + }, + { + "epoch": 2.58, + "learning_rate": 2.254219948849105e-05, + "loss": 0.7713, + "step": 1022 + }, + { + "epoch": 2.58, + "learning_rate": 2.2534526854219948e-05, + "loss": 1.1112, + "step": 1023 + }, + { + "epoch": 2.59, + "learning_rate": 2.252685421994885e-05, + "loss": 0.0184, + "step": 1024 + }, + { + "epoch": 2.59, + "learning_rate": 2.251918158567775e-05, + "loss": 0.0243, + "step": 1025 + }, + { + "epoch": 2.59, + "learning_rate": 2.251150895140665e-05, + "loss": 0.046, + "step": 1026 + }, + { + "epoch": 2.59, + "learning_rate": 2.250383631713555e-05, + "loss": 0.0378, + "step": 1027 + }, + { + "epoch": 2.6, + "learning_rate": 2.249616368286445e-05, + "loss": 0.0329, + "step": 1028 + }, + { + "epoch": 2.6, + "learning_rate": 2.2488491048593354e-05, + "loss": 0.0245, + "step": 1029 + }, + { + "epoch": 2.6, + "learning_rate": 2.2480818414322252e-05, + "loss": 0.0238, + "step": 1030 + }, + { + "epoch": 2.6, + "learning_rate": 2.247314578005115e-05, + "loss": 1.0628, + "step": 1031 + }, + { + "epoch": 2.61, + "learning_rate": 2.2465473145780052e-05, + "loss": 0.0703, + "step": 1032 + }, + { + "epoch": 2.61, + "learning_rate": 2.2457800511508954e-05, + "loss": 0.0251, + "step": 1033 + }, + { + "epoch": 2.61, + "learning_rate": 2.2450127877237852e-05, + "loss": 1.0561, + "step": 1034 + }, + { + "epoch": 2.61, + "learning_rate": 2.2442455242966753e-05, + "loss": 0.0274, + "step": 1035 + }, + { + "epoch": 2.62, + "learning_rate": 2.243478260869565e-05, + "loss": 0.023, + "step": 1036 + }, + { + "epoch": 2.62, + "learning_rate": 2.2427109974424553e-05, + "loss": 0.0223, + "step": 1037 + }, + { + "epoch": 2.62, + "learning_rate": 2.2419437340153455e-05, + "loss": 0.8113, + "step": 1038 + }, + { + "epoch": 2.62, + "learning_rate": 2.2411764705882353e-05, + "loss": 0.0346, + "step": 1039 + }, + { + "epoch": 2.63, + "learning_rate": 2.2404092071611255e-05, + "loss": 0.0164, + "step": 1040 + }, + { + "epoch": 2.63, + "learning_rate": 2.2396419437340156e-05, + "loss": 0.0237, + "step": 1041 + }, + { + "epoch": 2.63, + "learning_rate": 2.2388746803069054e-05, + "loss": 0.0305, + "step": 1042 + }, + { + "epoch": 2.63, + "learning_rate": 2.2381074168797953e-05, + "loss": 0.0158, + "step": 1043 + }, + { + "epoch": 2.64, + "learning_rate": 2.2373401534526858e-05, + "loss": 0.0225, + "step": 1044 + }, + { + "epoch": 2.64, + "learning_rate": 2.2365728900255756e-05, + "loss": 0.0226, + "step": 1045 + }, + { + "epoch": 2.64, + "learning_rate": 2.2358056265984654e-05, + "loss": 0.015, + "step": 1046 + }, + { + "epoch": 2.64, + "learning_rate": 2.2350383631713556e-05, + "loss": 0.0219, + "step": 1047 + }, + { + "epoch": 2.65, + "learning_rate": 2.2342710997442457e-05, + "loss": 1.0694, + "step": 1048 + }, + { + "epoch": 2.65, + "learning_rate": 2.2335038363171356e-05, + "loss": 0.0348, + "step": 1049 + }, + { + "epoch": 2.65, + "learning_rate": 2.2327365728900257e-05, + "loss": 0.0213, + "step": 1050 + }, + { + "epoch": 2.65, + "learning_rate": 2.2319693094629155e-05, + "loss": 0.9405, + "step": 1051 + }, + { + "epoch": 2.66, + "learning_rate": 2.2312020460358057e-05, + "loss": 0.0252, + "step": 1052 + }, + { + "epoch": 2.66, + "learning_rate": 2.230434782608696e-05, + "loss": 0.0254, + "step": 1053 + }, + { + "epoch": 2.66, + "learning_rate": 2.2296675191815857e-05, + "loss": 0.7353, + "step": 1054 + }, + { + "epoch": 2.66, + "learning_rate": 2.2289002557544755e-05, + "loss": 0.0253, + "step": 1055 + }, + { + "epoch": 2.67, + "learning_rate": 2.228132992327366e-05, + "loss": 0.8361, + "step": 1056 + }, + { + "epoch": 2.67, + "learning_rate": 2.2273657289002558e-05, + "loss": 0.0196, + "step": 1057 + }, + { + "epoch": 2.67, + "learning_rate": 2.2265984654731457e-05, + "loss": 0.014, + "step": 1058 + }, + { + "epoch": 2.67, + "learning_rate": 2.2258312020460358e-05, + "loss": 0.8297, + "step": 1059 + }, + { + "epoch": 2.68, + "learning_rate": 2.225063938618926e-05, + "loss": 1.0654, + "step": 1060 + }, + { + "epoch": 2.68, + "learning_rate": 2.2242966751918158e-05, + "loss": 0.0248, + "step": 1061 + }, + { + "epoch": 2.68, + "learning_rate": 2.223529411764706e-05, + "loss": 0.0226, + "step": 1062 + }, + { + "epoch": 2.68, + "learning_rate": 2.2227621483375958e-05, + "loss": 0.0238, + "step": 1063 + }, + { + "epoch": 2.69, + "learning_rate": 2.221994884910486e-05, + "loss": 0.0212, + "step": 1064 + }, + { + "epoch": 2.69, + "learning_rate": 2.221227621483376e-05, + "loss": 0.0274, + "step": 1065 + }, + { + "epoch": 2.69, + "learning_rate": 2.220460358056266e-05, + "loss": 1.0217, + "step": 1066 + }, + { + "epoch": 2.69, + "learning_rate": 2.219693094629156e-05, + "loss": 0.0252, + "step": 1067 + }, + { + "epoch": 2.7, + "learning_rate": 2.2189258312020462e-05, + "loss": 0.0219, + "step": 1068 + }, + { + "epoch": 2.7, + "learning_rate": 2.218158567774936e-05, + "loss": 0.0349, + "step": 1069 + }, + { + "epoch": 2.7, + "learning_rate": 2.217391304347826e-05, + "loss": 0.0152, + "step": 1070 + }, + { + "epoch": 2.7, + "learning_rate": 2.2166240409207164e-05, + "loss": 0.021, + "step": 1071 + }, + { + "epoch": 2.71, + "learning_rate": 2.2158567774936062e-05, + "loss": 0.015, + "step": 1072 + }, + { + "epoch": 2.71, + "learning_rate": 2.215089514066496e-05, + "loss": 0.0277, + "step": 1073 + }, + { + "epoch": 2.71, + "learning_rate": 2.2143222506393862e-05, + "loss": 0.1858, + "step": 1074 + }, + { + "epoch": 2.71, + "learning_rate": 2.2135549872122764e-05, + "loss": 0.0136, + "step": 1075 + }, + { + "epoch": 2.72, + "learning_rate": 2.2127877237851662e-05, + "loss": 0.0132, + "step": 1076 + }, + { + "epoch": 2.72, + "learning_rate": 2.2120204603580563e-05, + "loss": 0.0126, + "step": 1077 + }, + { + "epoch": 2.72, + "learning_rate": 2.211253196930946e-05, + "loss": 0.5171, + "step": 1078 + }, + { + "epoch": 2.72, + "learning_rate": 2.2104859335038363e-05, + "loss": 0.0422, + "step": 1079 + }, + { + "epoch": 2.73, + "learning_rate": 2.2097186700767265e-05, + "loss": 0.0186, + "step": 1080 + }, + { + "epoch": 2.73, + "learning_rate": 2.2089514066496163e-05, + "loss": 0.8412, + "step": 1081 + }, + { + "epoch": 2.73, + "learning_rate": 2.2081841432225065e-05, + "loss": 0.0183, + "step": 1082 + }, + { + "epoch": 2.73, + "learning_rate": 2.2074168797953966e-05, + "loss": 1.0243, + "step": 1083 + }, + { + "epoch": 2.74, + "learning_rate": 2.2066496163682865e-05, + "loss": 0.0212, + "step": 1084 + }, + { + "epoch": 2.74, + "learning_rate": 2.2058823529411766e-05, + "loss": 0.2841, + "step": 1085 + }, + { + "epoch": 2.74, + "learning_rate": 2.2051150895140664e-05, + "loss": 0.0118, + "step": 1086 + }, + { + "epoch": 2.74, + "learning_rate": 2.2043478260869566e-05, + "loss": 0.0247, + "step": 1087 + }, + { + "epoch": 2.75, + "learning_rate": 2.2035805626598468e-05, + "loss": 1.5121, + "step": 1088 + }, + { + "epoch": 2.75, + "learning_rate": 2.2028132992327366e-05, + "loss": 0.0304, + "step": 1089 + }, + { + "epoch": 2.75, + "learning_rate": 2.2020460358056267e-05, + "loss": 0.0329, + "step": 1090 + }, + { + "epoch": 2.76, + "learning_rate": 2.201278772378517e-05, + "loss": 1.1288, + "step": 1091 + }, + { + "epoch": 2.76, + "learning_rate": 2.2005115089514067e-05, + "loss": 0.0145, + "step": 1092 + }, + { + "epoch": 2.76, + "learning_rate": 2.1997442455242966e-05, + "loss": 0.0498, + "step": 1093 + }, + { + "epoch": 2.76, + "learning_rate": 2.198976982097187e-05, + "loss": 0.0244, + "step": 1094 + }, + { + "epoch": 2.77, + "learning_rate": 2.198209718670077e-05, + "loss": 0.0112, + "step": 1095 + }, + { + "epoch": 2.77, + "learning_rate": 2.1974424552429667e-05, + "loss": 0.8642, + "step": 1096 + }, + { + "epoch": 2.77, + "learning_rate": 2.196675191815857e-05, + "loss": 0.8822, + "step": 1097 + }, + { + "epoch": 2.77, + "learning_rate": 2.195907928388747e-05, + "loss": 0.0278, + "step": 1098 + }, + { + "epoch": 2.78, + "learning_rate": 2.195140664961637e-05, + "loss": 0.6954, + "step": 1099 + }, + { + "epoch": 2.78, + "learning_rate": 2.194373401534527e-05, + "loss": 0.0179, + "step": 1100 + }, + { + "epoch": 2.78, + "learning_rate": 2.1936061381074168e-05, + "loss": 0.5607, + "step": 1101 + }, + { + "epoch": 2.78, + "learning_rate": 2.192838874680307e-05, + "loss": 0.0191, + "step": 1102 + }, + { + "epoch": 2.79, + "learning_rate": 2.192071611253197e-05, + "loss": 1.9519, + "step": 1103 + }, + { + "epoch": 2.79, + "learning_rate": 2.191304347826087e-05, + "loss": 0.8347, + "step": 1104 + }, + { + "epoch": 2.79, + "learning_rate": 2.1905370843989768e-05, + "loss": 0.0262, + "step": 1105 + }, + { + "epoch": 2.79, + "learning_rate": 2.1897698209718673e-05, + "loss": 0.0477, + "step": 1106 + }, + { + "epoch": 2.8, + "learning_rate": 2.189002557544757e-05, + "loss": 0.0227, + "step": 1107 + }, + { + "epoch": 2.8, + "learning_rate": 2.188235294117647e-05, + "loss": 0.0205, + "step": 1108 + }, + { + "epoch": 2.8, + "learning_rate": 2.187468030690537e-05, + "loss": 0.0208, + "step": 1109 + }, + { + "epoch": 2.8, + "learning_rate": 2.1867007672634273e-05, + "loss": 0.0116, + "step": 1110 + }, + { + "epoch": 2.81, + "learning_rate": 2.185933503836317e-05, + "loss": 1.1546, + "step": 1111 + }, + { + "epoch": 2.81, + "learning_rate": 2.1851662404092072e-05, + "loss": 0.0114, + "step": 1112 + }, + { + "epoch": 2.81, + "learning_rate": 2.184398976982097e-05, + "loss": 0.0113, + "step": 1113 + }, + { + "epoch": 2.81, + "learning_rate": 2.1836317135549872e-05, + "loss": 0.6881, + "step": 1114 + }, + { + "epoch": 2.82, + "learning_rate": 2.1828644501278774e-05, + "loss": 0.0294, + "step": 1115 + }, + { + "epoch": 2.82, + "learning_rate": 2.1820971867007672e-05, + "loss": 0.1569, + "step": 1116 + }, + { + "epoch": 2.82, + "learning_rate": 2.1813299232736574e-05, + "loss": 1.1362, + "step": 1117 + }, + { + "epoch": 2.82, + "learning_rate": 2.1805626598465475e-05, + "loss": 0.0196, + "step": 1118 + }, + { + "epoch": 2.83, + "learning_rate": 2.1797953964194374e-05, + "loss": 0.0205, + "step": 1119 + }, + { + "epoch": 2.83, + "learning_rate": 2.1790281329923272e-05, + "loss": 0.0198, + "step": 1120 + }, + { + "epoch": 2.83, + "learning_rate": 2.1782608695652177e-05, + "loss": 0.0113, + "step": 1121 + }, + { + "epoch": 2.83, + "learning_rate": 2.1774936061381075e-05, + "loss": 0.02, + "step": 1122 + }, + { + "epoch": 2.84, + "learning_rate": 2.1767263427109973e-05, + "loss": 0.0195, + "step": 1123 + }, + { + "epoch": 2.84, + "learning_rate": 2.1759590792838875e-05, + "loss": 0.8016, + "step": 1124 + }, + { + "epoch": 2.84, + "learning_rate": 2.1751918158567776e-05, + "loss": 0.0122, + "step": 1125 + }, + { + "epoch": 2.84, + "learning_rate": 2.1744245524296675e-05, + "loss": 1.1132, + "step": 1126 + }, + { + "epoch": 2.85, + "learning_rate": 2.1736572890025576e-05, + "loss": 0.011, + "step": 1127 + }, + { + "epoch": 2.85, + "learning_rate": 2.1728900255754474e-05, + "loss": 0.7705, + "step": 1128 + }, + { + "epoch": 2.85, + "learning_rate": 2.1721227621483376e-05, + "loss": 1.1467, + "step": 1129 + }, + { + "epoch": 2.85, + "learning_rate": 2.1713554987212278e-05, + "loss": 0.0176, + "step": 1130 + }, + { + "epoch": 2.86, + "learning_rate": 2.1705882352941176e-05, + "loss": 0.0293, + "step": 1131 + }, + { + "epoch": 2.86, + "learning_rate": 2.1698209718670074e-05, + "loss": 0.0208, + "step": 1132 + }, + { + "epoch": 2.86, + "learning_rate": 2.169053708439898e-05, + "loss": 0.0199, + "step": 1133 + }, + { + "epoch": 2.86, + "learning_rate": 2.1682864450127877e-05, + "loss": 0.0431, + "step": 1134 + }, + { + "epoch": 2.87, + "learning_rate": 2.167519181585678e-05, + "loss": 1.6066, + "step": 1135 + }, + { + "epoch": 2.87, + "learning_rate": 2.1667519181585677e-05, + "loss": 0.029, + "step": 1136 + }, + { + "epoch": 2.87, + "learning_rate": 2.165984654731458e-05, + "loss": 0.029, + "step": 1137 + }, + { + "epoch": 2.87, + "learning_rate": 2.165217391304348e-05, + "loss": 1.1749, + "step": 1138 + }, + { + "epoch": 2.88, + "learning_rate": 2.164450127877238e-05, + "loss": 0.0189, + "step": 1139 + }, + { + "epoch": 2.88, + "learning_rate": 2.163682864450128e-05, + "loss": 0.0309, + "step": 1140 + }, + { + "epoch": 2.88, + "learning_rate": 2.1629156010230182e-05, + "loss": 0.0287, + "step": 1141 + }, + { + "epoch": 2.88, + "learning_rate": 2.162148337595908e-05, + "loss": 0.0202, + "step": 1142 + }, + { + "epoch": 2.89, + "learning_rate": 2.161381074168798e-05, + "loss": 0.7889, + "step": 1143 + }, + { + "epoch": 2.89, + "learning_rate": 2.1606138107416883e-05, + "loss": 0.0285, + "step": 1144 + }, + { + "epoch": 2.89, + "learning_rate": 2.159846547314578e-05, + "loss": 0.0535, + "step": 1145 + }, + { + "epoch": 2.89, + "learning_rate": 2.159079283887468e-05, + "loss": 1.0829, + "step": 1146 + }, + { + "epoch": 2.9, + "learning_rate": 2.158312020460358e-05, + "loss": 0.0989, + "step": 1147 + }, + { + "epoch": 2.9, + "learning_rate": 2.1575447570332483e-05, + "loss": 0.0115, + "step": 1148 + }, + { + "epoch": 2.9, + "learning_rate": 2.156777493606138e-05, + "loss": 0.0227, + "step": 1149 + }, + { + "epoch": 2.9, + "learning_rate": 2.1560102301790283e-05, + "loss": 0.5506, + "step": 1150 + }, + { + "epoch": 2.91, + "learning_rate": 2.155242966751918e-05, + "loss": 1.1234, + "step": 1151 + }, + { + "epoch": 2.91, + "learning_rate": 2.1544757033248083e-05, + "loss": 0.0564, + "step": 1152 + }, + { + "epoch": 2.91, + "learning_rate": 2.1537084398976984e-05, + "loss": 0.0127, + "step": 1153 + }, + { + "epoch": 2.91, + "learning_rate": 2.1529411764705882e-05, + "loss": 0.0218, + "step": 1154 + }, + { + "epoch": 2.92, + "learning_rate": 2.152173913043478e-05, + "loss": 0.0124, + "step": 1155 + }, + { + "epoch": 2.92, + "learning_rate": 2.1514066496163686e-05, + "loss": 0.0223, + "step": 1156 + }, + { + "epoch": 2.92, + "learning_rate": 2.1506393861892584e-05, + "loss": 0.0505, + "step": 1157 + }, + { + "epoch": 2.92, + "learning_rate": 2.1498721227621482e-05, + "loss": 0.0225, + "step": 1158 + }, + { + "epoch": 2.93, + "learning_rate": 2.1491048593350384e-05, + "loss": 0.0308, + "step": 1159 + }, + { + "epoch": 2.93, + "learning_rate": 2.1483375959079285e-05, + "loss": 0.036, + "step": 1160 + }, + { + "epoch": 2.93, + "learning_rate": 2.1475703324808184e-05, + "loss": 0.0121, + "step": 1161 + }, + { + "epoch": 2.93, + "learning_rate": 2.1468030690537085e-05, + "loss": 0.0274, + "step": 1162 + }, + { + "epoch": 2.94, + "learning_rate": 2.1460358056265983e-05, + "loss": 1.0397, + "step": 1163 + }, + { + "epoch": 2.94, + "learning_rate": 2.1452685421994885e-05, + "loss": 0.0332, + "step": 1164 + }, + { + "epoch": 2.94, + "learning_rate": 2.1445012787723787e-05, + "loss": 0.0182, + "step": 1165 + }, + { + "epoch": 2.94, + "learning_rate": 2.1437340153452685e-05, + "loss": 0.018, + "step": 1166 + }, + { + "epoch": 2.95, + "learning_rate": 2.1429667519181587e-05, + "loss": 0.859, + "step": 1167 + }, + { + "epoch": 2.95, + "learning_rate": 2.1421994884910488e-05, + "loss": 0.0321, + "step": 1168 + }, + { + "epoch": 2.95, + "learning_rate": 2.1414322250639386e-05, + "loss": 0.0225, + "step": 1169 + }, + { + "epoch": 2.95, + "learning_rate": 2.1406649616368285e-05, + "loss": 0.0224, + "step": 1170 + }, + { + "epoch": 2.96, + "learning_rate": 2.139897698209719e-05, + "loss": 0.03, + "step": 1171 + }, + { + "epoch": 2.96, + "learning_rate": 2.1391304347826088e-05, + "loss": 0.7473, + "step": 1172 + }, + { + "epoch": 2.96, + "learning_rate": 2.1383631713554986e-05, + "loss": 0.8609, + "step": 1173 + }, + { + "epoch": 2.96, + "learning_rate": 2.1375959079283888e-05, + "loss": 0.0105, + "step": 1174 + }, + { + "epoch": 2.97, + "learning_rate": 2.136828644501279e-05, + "loss": 0.0217, + "step": 1175 + }, + { + "epoch": 2.97, + "learning_rate": 2.1360613810741687e-05, + "loss": 0.0218, + "step": 1176 + }, + { + "epoch": 2.97, + "learning_rate": 2.135294117647059e-05, + "loss": 0.016, + "step": 1177 + }, + { + "epoch": 2.97, + "learning_rate": 2.1345268542199487e-05, + "loss": 0.7844, + "step": 1178 + }, + { + "epoch": 2.98, + "learning_rate": 2.133759590792839e-05, + "loss": 0.01, + "step": 1179 + }, + { + "epoch": 2.98, + "learning_rate": 2.132992327365729e-05, + "loss": 0.8774, + "step": 1180 + }, + { + "epoch": 2.98, + "learning_rate": 2.132225063938619e-05, + "loss": 0.8375, + "step": 1181 + }, + { + "epoch": 2.98, + "learning_rate": 2.1314578005115087e-05, + "loss": 0.0188, + "step": 1182 + }, + { + "epoch": 2.99, + "learning_rate": 2.1306905370843992e-05, + "loss": 1.1026, + "step": 1183 + }, + { + "epoch": 2.99, + "learning_rate": 2.129923273657289e-05, + "loss": 1.0447, + "step": 1184 + }, + { + "epoch": 2.99, + "learning_rate": 2.129156010230179e-05, + "loss": 0.0101, + "step": 1185 + }, + { + "epoch": 2.99, + "learning_rate": 2.128388746803069e-05, + "loss": 0.0247, + "step": 1186 + }, + { + "epoch": 3.0, + "learning_rate": 2.127621483375959e-05, + "loss": 0.0295, + "step": 1187 + }, + { + "epoch": 3.0, + "learning_rate": 2.1268542199488493e-05, + "loss": 0.0191, + "step": 1188 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.9065656565656566, + "eval_loss": 0.37390685081481934, + "eval_runtime": 57.4087, + "eval_samples_per_second": 6.898, + "eval_steps_per_second": 1.724, + "step": 1188 + } + ], + "max_steps": 3960, + "num_train_epochs": 10, + "total_flos": 4.311442640736e+17, + "trial_name": null, + "trial_params": null +}