diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13288 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 20.0, + "eval_steps": 500, + "global_step": 2180, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 0.0, + "loss": 4.8333, + "step": 1 + }, + { + "epoch": 0.02, + "learning_rate": 0.0, + "loss": 2.3065, + "step": 2 + }, + { + "epoch": 0.03, + "learning_rate": 0.0, + "loss": 4.4461, + "step": 3 + }, + { + "epoch": 0.04, + "learning_rate": 0.0, + "loss": 4.7319, + "step": 4 + }, + { + "epoch": 0.05, + "learning_rate": 2e-05, + "loss": 5.0436, + "step": 5 + }, + { + "epoch": 0.06, + "learning_rate": 2e-05, + "loss": 6.2135, + "step": 6 + }, + { + "epoch": 0.06, + "learning_rate": 4e-05, + "loss": 3.4661, + "step": 7 + }, + { + "epoch": 0.07, + "learning_rate": 6e-05, + "loss": 5.5063, + "step": 8 + }, + { + "epoch": 0.08, + "learning_rate": 8e-05, + "loss": 2.5579, + "step": 9 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001, + "loss": 5.7731, + "step": 10 + }, + { + "epoch": 0.1, + "learning_rate": 9.995402298850575e-05, + "loss": 2.9313, + "step": 11 + }, + { + "epoch": 0.11, + "learning_rate": 9.99080459770115e-05, + "loss": 2.2405, + "step": 12 + }, + { + "epoch": 0.12, + "learning_rate": 9.986206896551724e-05, + "loss": 2.2503, + "step": 13 + }, + { + "epoch": 0.13, + "learning_rate": 9.981609195402299e-05, + "loss": 3.7502, + "step": 14 + }, + { + "epoch": 0.14, + "learning_rate": 9.977011494252874e-05, + "loss": 4.8206, + "step": 15 + }, + { + "epoch": 0.15, + "learning_rate": 9.972413793103448e-05, + "loss": 2.1221, + "step": 16 + }, + { + "epoch": 0.16, + "learning_rate": 9.967816091954023e-05, + "loss": 2.681, + "step": 17 + }, + { + "epoch": 0.17, + "learning_rate": 9.963218390804599e-05, + "loss": 2.9936, + "step": 18 + }, + { + "epoch": 0.17, + "learning_rate": 9.958620689655172e-05, + "loss": 1.6324, + "step": 19 + }, + { + "epoch": 0.18, + "learning_rate": 9.954022988505748e-05, + "loss": 2.1403, + "step": 20 + }, + { + "epoch": 0.19, + "learning_rate": 9.949425287356321e-05, + "loss": 1.9128, + "step": 21 + }, + { + "epoch": 0.2, + "learning_rate": 9.944827586206897e-05, + "loss": 3.1573, + "step": 22 + }, + { + "epoch": 0.21, + "learning_rate": 9.940229885057472e-05, + "loss": 2.0411, + "step": 23 + }, + { + "epoch": 0.22, + "learning_rate": 9.935632183908047e-05, + "loss": 2.3495, + "step": 24 + }, + { + "epoch": 0.23, + "learning_rate": 9.931034482758621e-05, + "loss": 1.3057, + "step": 25 + }, + { + "epoch": 0.24, + "learning_rate": 9.926436781609196e-05, + "loss": 2.1814, + "step": 26 + }, + { + "epoch": 0.25, + "learning_rate": 9.92183908045977e-05, + "loss": 1.9983, + "step": 27 + }, + { + "epoch": 0.26, + "learning_rate": 9.917241379310345e-05, + "loss": 2.7244, + "step": 28 + }, + { + "epoch": 0.27, + "learning_rate": 9.91264367816092e-05, + "loss": 3.1512, + "step": 29 + }, + { + "epoch": 0.28, + "learning_rate": 9.908045977011494e-05, + "loss": 3.564, + "step": 30 + }, + { + "epoch": 0.28, + "learning_rate": 9.903448275862069e-05, + "loss": 4.3232, + "step": 31 + }, + { + "epoch": 0.29, + "learning_rate": 9.898850574712644e-05, + "loss": 2.0438, + "step": 32 + }, + { + "epoch": 0.3, + "learning_rate": 9.894252873563218e-05, + "loss": 3.1714, + "step": 33 + }, + { + "epoch": 0.31, + "learning_rate": 9.889655172413793e-05, + "loss": 2.2101, + "step": 34 + }, + { + "epoch": 0.32, + "learning_rate": 9.885057471264369e-05, + "loss": 2.0324, + "step": 35 + }, + { + "epoch": 0.33, + "learning_rate": 9.880459770114942e-05, + "loss": 1.7595, + "step": 36 + }, + { + "epoch": 0.34, + "learning_rate": 9.875862068965518e-05, + "loss": 1.9976, + "step": 37 + }, + { + "epoch": 0.35, + "learning_rate": 9.871264367816092e-05, + "loss": 2.296, + "step": 38 + }, + { + "epoch": 0.36, + "learning_rate": 9.866666666666668e-05, + "loss": 1.2148, + "step": 39 + }, + { + "epoch": 0.37, + "learning_rate": 9.862068965517242e-05, + "loss": 1.5207, + "step": 40 + }, + { + "epoch": 0.38, + "learning_rate": 9.857471264367817e-05, + "loss": 1.5712, + "step": 41 + }, + { + "epoch": 0.39, + "learning_rate": 9.852873563218391e-05, + "loss": 1.5386, + "step": 42 + }, + { + "epoch": 0.39, + "learning_rate": 9.848275862068966e-05, + "loss": 2.1024, + "step": 43 + }, + { + "epoch": 0.4, + "learning_rate": 9.843678160919541e-05, + "loss": 2.0523, + "step": 44 + }, + { + "epoch": 0.41, + "learning_rate": 9.839080459770115e-05, + "loss": 2.8, + "step": 45 + }, + { + "epoch": 0.42, + "learning_rate": 9.83448275862069e-05, + "loss": 2.5403, + "step": 46 + }, + { + "epoch": 0.43, + "learning_rate": 9.829885057471266e-05, + "loss": 1.9564, + "step": 47 + }, + { + "epoch": 0.44, + "learning_rate": 9.825287356321839e-05, + "loss": 1.6888, + "step": 48 + }, + { + "epoch": 0.45, + "learning_rate": 9.820689655172415e-05, + "loss": 2.2113, + "step": 49 + }, + { + "epoch": 0.46, + "learning_rate": 9.816091954022988e-05, + "loss": 2.3537, + "step": 50 + }, + { + "epoch": 0.47, + "learning_rate": 9.811494252873563e-05, + "loss": 1.487, + "step": 51 + }, + { + "epoch": 0.48, + "learning_rate": 9.806896551724139e-05, + "loss": 1.7331, + "step": 52 + }, + { + "epoch": 0.49, + "learning_rate": 9.802298850574712e-05, + "loss": 2.9036, + "step": 53 + }, + { + "epoch": 0.5, + "learning_rate": 9.797701149425288e-05, + "loss": 2.0968, + "step": 54 + }, + { + "epoch": 0.5, + "learning_rate": 9.793103448275862e-05, + "loss": 1.8345, + "step": 55 + }, + { + "epoch": 0.51, + "learning_rate": 9.788505747126438e-05, + "loss": 2.444, + "step": 56 + }, + { + "epoch": 0.52, + "learning_rate": 9.783908045977012e-05, + "loss": 1.623, + "step": 57 + }, + { + "epoch": 0.53, + "learning_rate": 9.779310344827587e-05, + "loss": 2.4327, + "step": 58 + }, + { + "epoch": 0.54, + "learning_rate": 9.774712643678162e-05, + "loss": 2.0198, + "step": 59 + }, + { + "epoch": 0.55, + "learning_rate": 9.770114942528736e-05, + "loss": 2.2694, + "step": 60 + }, + { + "epoch": 0.56, + "learning_rate": 9.765517241379311e-05, + "loss": 2.0924, + "step": 61 + }, + { + "epoch": 0.57, + "learning_rate": 9.760919540229885e-05, + "loss": 1.4724, + "step": 62 + }, + { + "epoch": 0.58, + "learning_rate": 9.75632183908046e-05, + "loss": 2.0698, + "step": 63 + }, + { + "epoch": 0.59, + "learning_rate": 9.751724137931035e-05, + "loss": 1.2204, + "step": 64 + }, + { + "epoch": 0.6, + "learning_rate": 9.747126436781609e-05, + "loss": 1.8652, + "step": 65 + }, + { + "epoch": 0.61, + "learning_rate": 9.742528735632185e-05, + "loss": 1.5699, + "step": 66 + }, + { + "epoch": 0.61, + "learning_rate": 9.737931034482759e-05, + "loss": 1.6397, + "step": 67 + }, + { + "epoch": 0.62, + "learning_rate": 9.733333333333335e-05, + "loss": 1.694, + "step": 68 + }, + { + "epoch": 0.63, + "learning_rate": 9.728735632183908e-05, + "loss": 3.0533, + "step": 69 + }, + { + "epoch": 0.64, + "learning_rate": 9.724137931034482e-05, + "loss": 2.3781, + "step": 70 + }, + { + "epoch": 0.65, + "learning_rate": 9.719540229885058e-05, + "loss": 1.3803, + "step": 71 + }, + { + "epoch": 0.66, + "learning_rate": 9.714942528735632e-05, + "loss": 1.744, + "step": 72 + }, + { + "epoch": 0.67, + "learning_rate": 9.710344827586208e-05, + "loss": 1.8157, + "step": 73 + }, + { + "epoch": 0.68, + "learning_rate": 9.705747126436781e-05, + "loss": 2.0532, + "step": 74 + }, + { + "epoch": 0.69, + "learning_rate": 9.701149425287357e-05, + "loss": 1.7599, + "step": 75 + }, + { + "epoch": 0.7, + "learning_rate": 9.696551724137932e-05, + "loss": 2.1115, + "step": 76 + }, + { + "epoch": 0.71, + "learning_rate": 9.691954022988506e-05, + "loss": 1.7123, + "step": 77 + }, + { + "epoch": 0.72, + "learning_rate": 9.687356321839081e-05, + "loss": 1.4739, + "step": 78 + }, + { + "epoch": 0.72, + "learning_rate": 9.682758620689656e-05, + "loss": 1.5236, + "step": 79 + }, + { + "epoch": 0.73, + "learning_rate": 9.67816091954023e-05, + "loss": 1.7303, + "step": 80 + }, + { + "epoch": 0.74, + "learning_rate": 9.673563218390805e-05, + "loss": 1.5281, + "step": 81 + }, + { + "epoch": 0.75, + "learning_rate": 9.66896551724138e-05, + "loss": 1.7074, + "step": 82 + }, + { + "epoch": 0.76, + "learning_rate": 9.664367816091955e-05, + "loss": 1.8005, + "step": 83 + }, + { + "epoch": 0.77, + "learning_rate": 9.659770114942529e-05, + "loss": 1.7979, + "step": 84 + }, + { + "epoch": 0.78, + "learning_rate": 9.655172413793105e-05, + "loss": 1.823, + "step": 85 + }, + { + "epoch": 0.79, + "learning_rate": 9.650574712643678e-05, + "loss": 2.5651, + "step": 86 + }, + { + "epoch": 0.8, + "learning_rate": 9.645977011494254e-05, + "loss": 1.2539, + "step": 87 + }, + { + "epoch": 0.81, + "learning_rate": 9.641379310344829e-05, + "loss": 2.0415, + "step": 88 + }, + { + "epoch": 0.82, + "learning_rate": 9.636781609195403e-05, + "loss": 2.8371, + "step": 89 + }, + { + "epoch": 0.83, + "learning_rate": 9.632183908045978e-05, + "loss": 1.2387, + "step": 90 + }, + { + "epoch": 0.83, + "learning_rate": 9.627586206896551e-05, + "loss": 1.6533, + "step": 91 + }, + { + "epoch": 0.84, + "learning_rate": 9.622988505747127e-05, + "loss": 2.0956, + "step": 92 + }, + { + "epoch": 0.85, + "learning_rate": 9.618390804597702e-05, + "loss": 1.2122, + "step": 93 + }, + { + "epoch": 0.86, + "learning_rate": 9.613793103448276e-05, + "loss": 1.6876, + "step": 94 + }, + { + "epoch": 0.87, + "learning_rate": 9.609195402298851e-05, + "loss": 2.3298, + "step": 95 + }, + { + "epoch": 0.88, + "learning_rate": 9.604597701149426e-05, + "loss": 1.8006, + "step": 96 + }, + { + "epoch": 0.89, + "learning_rate": 9.6e-05, + "loss": 1.7219, + "step": 97 + }, + { + "epoch": 0.9, + "learning_rate": 9.595402298850575e-05, + "loss": 1.3732, + "step": 98 + }, + { + "epoch": 0.91, + "learning_rate": 9.59080459770115e-05, + "loss": 1.7793, + "step": 99 + }, + { + "epoch": 0.92, + "learning_rate": 9.586206896551725e-05, + "loss": 2.0547, + "step": 100 + }, + { + "epoch": 0.93, + "learning_rate": 9.581609195402299e-05, + "loss": 1.3536, + "step": 101 + }, + { + "epoch": 0.94, + "learning_rate": 9.577011494252875e-05, + "loss": 2.5, + "step": 102 + }, + { + "epoch": 0.94, + "learning_rate": 9.572413793103448e-05, + "loss": 1.2496, + "step": 103 + }, + { + "epoch": 0.95, + "learning_rate": 9.567816091954024e-05, + "loss": 2.2696, + "step": 104 + }, + { + "epoch": 0.96, + "learning_rate": 9.563218390804599e-05, + "loss": 1.1918, + "step": 105 + }, + { + "epoch": 0.97, + "learning_rate": 9.558620689655173e-05, + "loss": 1.5118, + "step": 106 + }, + { + "epoch": 0.98, + "learning_rate": 9.554022988505748e-05, + "loss": 1.1344, + "step": 107 + }, + { + "epoch": 0.99, + "learning_rate": 9.549425287356323e-05, + "loss": 1.6437, + "step": 108 + }, + { + "epoch": 1.0, + "learning_rate": 9.544827586206897e-05, + "loss": 1.7307, + "step": 109 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.4024390243902439, + "eval_loss": 1.5326756238937378, + "eval_runtime": 13.8933, + "eval_samples_per_second": 11.804, + "eval_steps_per_second": 1.512, + "step": 109 + }, + { + "epoch": 1.01, + "learning_rate": 9.540229885057472e-05, + "loss": 1.5236, + "step": 110 + }, + { + "epoch": 1.02, + "learning_rate": 9.535632183908046e-05, + "loss": 0.7238, + "step": 111 + }, + { + "epoch": 1.03, + "learning_rate": 9.531034482758621e-05, + "loss": 1.0976, + "step": 112 + }, + { + "epoch": 1.04, + "learning_rate": 9.526436781609196e-05, + "loss": 0.869, + "step": 113 + }, + { + "epoch": 1.05, + "learning_rate": 9.52183908045977e-05, + "loss": 0.7228, + "step": 114 + }, + { + "epoch": 1.06, + "learning_rate": 9.517241379310345e-05, + "loss": 1.1438, + "step": 115 + }, + { + "epoch": 1.06, + "learning_rate": 9.51264367816092e-05, + "loss": 0.5575, + "step": 116 + }, + { + "epoch": 1.07, + "learning_rate": 9.508045977011494e-05, + "loss": 1.4123, + "step": 117 + }, + { + "epoch": 1.08, + "learning_rate": 9.503448275862069e-05, + "loss": 1.8973, + "step": 118 + }, + { + "epoch": 1.09, + "learning_rate": 9.498850574712645e-05, + "loss": 0.3972, + "step": 119 + }, + { + "epoch": 1.1, + "learning_rate": 9.494252873563218e-05, + "loss": 0.7104, + "step": 120 + }, + { + "epoch": 1.11, + "learning_rate": 9.489655172413794e-05, + "loss": 0.6647, + "step": 121 + }, + { + "epoch": 1.12, + "learning_rate": 9.485057471264367e-05, + "loss": 0.8883, + "step": 122 + }, + { + "epoch": 1.13, + "learning_rate": 9.480459770114943e-05, + "loss": 1.2907, + "step": 123 + }, + { + "epoch": 1.14, + "learning_rate": 9.475862068965518e-05, + "loss": 1.0642, + "step": 124 + }, + { + "epoch": 1.15, + "learning_rate": 9.471264367816093e-05, + "loss": 1.4426, + "step": 125 + }, + { + "epoch": 1.16, + "learning_rate": 9.466666666666667e-05, + "loss": 0.8142, + "step": 126 + }, + { + "epoch": 1.17, + "learning_rate": 9.462068965517242e-05, + "loss": 0.2699, + "step": 127 + }, + { + "epoch": 1.17, + "learning_rate": 9.457471264367817e-05, + "loss": 0.3382, + "step": 128 + }, + { + "epoch": 1.18, + "learning_rate": 9.452873563218391e-05, + "loss": 1.3154, + "step": 129 + }, + { + "epoch": 1.19, + "learning_rate": 9.448275862068966e-05, + "loss": 0.7058, + "step": 130 + }, + { + "epoch": 1.2, + "learning_rate": 9.44367816091954e-05, + "loss": 0.7397, + "step": 131 + }, + { + "epoch": 1.21, + "learning_rate": 9.439080459770115e-05, + "loss": 0.9056, + "step": 132 + }, + { + "epoch": 1.22, + "learning_rate": 9.43448275862069e-05, + "loss": 1.3027, + "step": 133 + }, + { + "epoch": 1.23, + "learning_rate": 9.429885057471264e-05, + "loss": 0.9512, + "step": 134 + }, + { + "epoch": 1.24, + "learning_rate": 9.425287356321839e-05, + "loss": 0.7303, + "step": 135 + }, + { + "epoch": 1.25, + "learning_rate": 9.420689655172415e-05, + "loss": 1.9017, + "step": 136 + }, + { + "epoch": 1.26, + "learning_rate": 9.416091954022988e-05, + "loss": 0.2521, + "step": 137 + }, + { + "epoch": 1.27, + "learning_rate": 9.411494252873564e-05, + "loss": 0.9502, + "step": 138 + }, + { + "epoch": 1.28, + "learning_rate": 9.406896551724137e-05, + "loss": 0.7114, + "step": 139 + }, + { + "epoch": 1.28, + "learning_rate": 9.402298850574713e-05, + "loss": 0.4075, + "step": 140 + }, + { + "epoch": 1.29, + "learning_rate": 9.397701149425288e-05, + "loss": 1.609, + "step": 141 + }, + { + "epoch": 1.3, + "learning_rate": 9.393103448275863e-05, + "loss": 1.7638, + "step": 142 + }, + { + "epoch": 1.31, + "learning_rate": 9.388505747126437e-05, + "loss": 0.6199, + "step": 143 + }, + { + "epoch": 1.32, + "learning_rate": 9.383908045977012e-05, + "loss": 0.7654, + "step": 144 + }, + { + "epoch": 1.33, + "learning_rate": 9.379310344827587e-05, + "loss": 0.3153, + "step": 145 + }, + { + "epoch": 1.34, + "learning_rate": 9.374712643678161e-05, + "loss": 0.8762, + "step": 146 + }, + { + "epoch": 1.35, + "learning_rate": 9.370114942528736e-05, + "loss": 1.0565, + "step": 147 + }, + { + "epoch": 1.36, + "learning_rate": 9.365517241379312e-05, + "loss": 1.3616, + "step": 148 + }, + { + "epoch": 1.37, + "learning_rate": 9.360919540229885e-05, + "loss": 0.9263, + "step": 149 + }, + { + "epoch": 1.38, + "learning_rate": 9.35632183908046e-05, + "loss": 1.3355, + "step": 150 + }, + { + "epoch": 1.39, + "learning_rate": 9.351724137931034e-05, + "loss": 1.0787, + "step": 151 + }, + { + "epoch": 1.39, + "learning_rate": 9.347126436781609e-05, + "loss": 1.3131, + "step": 152 + }, + { + "epoch": 1.4, + "learning_rate": 9.342528735632185e-05, + "loss": 0.8362, + "step": 153 + }, + { + "epoch": 1.41, + "learning_rate": 9.337931034482758e-05, + "loss": 1.7228, + "step": 154 + }, + { + "epoch": 1.42, + "learning_rate": 9.333333333333334e-05, + "loss": 1.289, + "step": 155 + }, + { + "epoch": 1.43, + "learning_rate": 9.328735632183908e-05, + "loss": 0.7971, + "step": 156 + }, + { + "epoch": 1.44, + "learning_rate": 9.324137931034484e-05, + "loss": 1.1699, + "step": 157 + }, + { + "epoch": 1.45, + "learning_rate": 9.319540229885058e-05, + "loss": 0.5347, + "step": 158 + }, + { + "epoch": 1.46, + "learning_rate": 9.314942528735633e-05, + "loss": 0.8059, + "step": 159 + }, + { + "epoch": 1.47, + "learning_rate": 9.310344827586207e-05, + "loss": 0.6804, + "step": 160 + }, + { + "epoch": 1.48, + "learning_rate": 9.305747126436782e-05, + "loss": 1.3072, + "step": 161 + }, + { + "epoch": 1.49, + "learning_rate": 9.301149425287357e-05, + "loss": 0.4505, + "step": 162 + }, + { + "epoch": 1.5, + "learning_rate": 9.296551724137931e-05, + "loss": 0.5823, + "step": 163 + }, + { + "epoch": 1.5, + "learning_rate": 9.291954022988506e-05, + "loss": 0.6861, + "step": 164 + }, + { + "epoch": 1.51, + "learning_rate": 9.287356321839082e-05, + "loss": 1.2158, + "step": 165 + }, + { + "epoch": 1.52, + "learning_rate": 9.282758620689655e-05, + "loss": 0.2745, + "step": 166 + }, + { + "epoch": 1.53, + "learning_rate": 9.278160919540231e-05, + "loss": 0.1638, + "step": 167 + }, + { + "epoch": 1.54, + "learning_rate": 9.273563218390805e-05, + "loss": 0.2435, + "step": 168 + }, + { + "epoch": 1.55, + "learning_rate": 9.26896551724138e-05, + "loss": 0.9956, + "step": 169 + }, + { + "epoch": 1.56, + "learning_rate": 9.264367816091954e-05, + "loss": 0.5066, + "step": 170 + }, + { + "epoch": 1.57, + "learning_rate": 9.259770114942528e-05, + "loss": 0.4705, + "step": 171 + }, + { + "epoch": 1.58, + "learning_rate": 9.255172413793104e-05, + "loss": 0.8163, + "step": 172 + }, + { + "epoch": 1.59, + "learning_rate": 9.250574712643678e-05, + "loss": 0.4386, + "step": 173 + }, + { + "epoch": 1.6, + "learning_rate": 9.245977011494254e-05, + "loss": 0.5746, + "step": 174 + }, + { + "epoch": 1.61, + "learning_rate": 9.241379310344827e-05, + "loss": 0.171, + "step": 175 + }, + { + "epoch": 1.61, + "learning_rate": 9.236781609195403e-05, + "loss": 1.1641, + "step": 176 + }, + { + "epoch": 1.62, + "learning_rate": 9.232183908045978e-05, + "loss": 1.142, + "step": 177 + }, + { + "epoch": 1.63, + "learning_rate": 9.227586206896552e-05, + "loss": 1.1509, + "step": 178 + }, + { + "epoch": 1.64, + "learning_rate": 9.222988505747127e-05, + "loss": 0.0439, + "step": 179 + }, + { + "epoch": 1.65, + "learning_rate": 9.218390804597701e-05, + "loss": 0.4179, + "step": 180 + }, + { + "epoch": 1.66, + "learning_rate": 9.213793103448276e-05, + "loss": 0.4088, + "step": 181 + }, + { + "epoch": 1.67, + "learning_rate": 9.209195402298851e-05, + "loss": 0.0732, + "step": 182 + }, + { + "epoch": 1.68, + "learning_rate": 9.204597701149425e-05, + "loss": 0.0423, + "step": 183 + }, + { + "epoch": 1.69, + "learning_rate": 9.200000000000001e-05, + "loss": 0.2141, + "step": 184 + }, + { + "epoch": 1.7, + "learning_rate": 9.195402298850575e-05, + "loss": 0.1807, + "step": 185 + }, + { + "epoch": 1.71, + "learning_rate": 9.19080459770115e-05, + "loss": 1.7772, + "step": 186 + }, + { + "epoch": 1.72, + "learning_rate": 9.186206896551724e-05, + "loss": 0.9672, + "step": 187 + }, + { + "epoch": 1.72, + "learning_rate": 9.1816091954023e-05, + "loss": 3.4189, + "step": 188 + }, + { + "epoch": 1.73, + "learning_rate": 9.177011494252875e-05, + "loss": 2.2924, + "step": 189 + }, + { + "epoch": 1.74, + "learning_rate": 9.172413793103448e-05, + "loss": 0.9232, + "step": 190 + }, + { + "epoch": 1.75, + "learning_rate": 9.167816091954024e-05, + "loss": 2.6377, + "step": 191 + }, + { + "epoch": 1.76, + "learning_rate": 9.163218390804597e-05, + "loss": 0.1525, + "step": 192 + }, + { + "epoch": 1.77, + "learning_rate": 9.158620689655173e-05, + "loss": 0.6139, + "step": 193 + }, + { + "epoch": 1.78, + "learning_rate": 9.154022988505748e-05, + "loss": 1.1956, + "step": 194 + }, + { + "epoch": 1.79, + "learning_rate": 9.149425287356322e-05, + "loss": 0.2272, + "step": 195 + }, + { + "epoch": 1.8, + "learning_rate": 9.144827586206897e-05, + "loss": 0.2746, + "step": 196 + }, + { + "epoch": 1.81, + "learning_rate": 9.140229885057472e-05, + "loss": 1.1535, + "step": 197 + }, + { + "epoch": 1.82, + "learning_rate": 9.135632183908046e-05, + "loss": 0.2671, + "step": 198 + }, + { + "epoch": 1.83, + "learning_rate": 9.131034482758621e-05, + "loss": 0.7807, + "step": 199 + }, + { + "epoch": 1.83, + "learning_rate": 9.126436781609195e-05, + "loss": 0.0523, + "step": 200 + }, + { + "epoch": 1.84, + "learning_rate": 9.121839080459771e-05, + "loss": 0.3851, + "step": 201 + }, + { + "epoch": 1.85, + "learning_rate": 9.117241379310345e-05, + "loss": 0.056, + "step": 202 + }, + { + "epoch": 1.86, + "learning_rate": 9.112643678160921e-05, + "loss": 2.6584, + "step": 203 + }, + { + "epoch": 1.87, + "learning_rate": 9.108045977011494e-05, + "loss": 0.1002, + "step": 204 + }, + { + "epoch": 1.88, + "learning_rate": 9.10344827586207e-05, + "loss": 0.5692, + "step": 205 + }, + { + "epoch": 1.89, + "learning_rate": 9.098850574712645e-05, + "loss": 1.2853, + "step": 206 + }, + { + "epoch": 1.9, + "learning_rate": 9.094252873563219e-05, + "loss": 2.3472, + "step": 207 + }, + { + "epoch": 1.91, + "learning_rate": 9.089655172413794e-05, + "loss": 0.9564, + "step": 208 + }, + { + "epoch": 1.92, + "learning_rate": 9.085057471264369e-05, + "loss": 0.7848, + "step": 209 + }, + { + "epoch": 1.93, + "learning_rate": 9.080459770114943e-05, + "loss": 1.0236, + "step": 210 + }, + { + "epoch": 1.94, + "learning_rate": 9.075862068965518e-05, + "loss": 1.1465, + "step": 211 + }, + { + "epoch": 1.94, + "learning_rate": 9.071264367816092e-05, + "loss": 0.229, + "step": 212 + }, + { + "epoch": 1.95, + "learning_rate": 9.066666666666667e-05, + "loss": 0.757, + "step": 213 + }, + { + "epoch": 1.96, + "learning_rate": 9.062068965517242e-05, + "loss": 0.1344, + "step": 214 + }, + { + "epoch": 1.97, + "learning_rate": 9.057471264367816e-05, + "loss": 0.4208, + "step": 215 + }, + { + "epoch": 1.98, + "learning_rate": 9.052873563218391e-05, + "loss": 1.0033, + "step": 216 + }, + { + "epoch": 1.99, + "learning_rate": 9.048275862068966e-05, + "loss": 0.1265, + "step": 217 + }, + { + "epoch": 2.0, + "learning_rate": 9.043678160919542e-05, + "loss": 1.4519, + "step": 218 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.7073170731707317, + "eval_loss": 1.234080195426941, + "eval_runtime": 13.8793, + "eval_samples_per_second": 11.816, + "eval_steps_per_second": 1.513, + "step": 218 + }, + { + "epoch": 2.01, + "learning_rate": 9.039080459770115e-05, + "loss": 0.0027, + "step": 219 + }, + { + "epoch": 2.02, + "learning_rate": 9.034482758620691e-05, + "loss": 0.1063, + "step": 220 + }, + { + "epoch": 2.03, + "learning_rate": 9.029885057471264e-05, + "loss": 0.8028, + "step": 221 + }, + { + "epoch": 2.04, + "learning_rate": 9.02528735632184e-05, + "loss": 0.3921, + "step": 222 + }, + { + "epoch": 2.05, + "learning_rate": 9.020689655172413e-05, + "loss": 0.0123, + "step": 223 + }, + { + "epoch": 2.06, + "learning_rate": 9.01609195402299e-05, + "loss": 0.0506, + "step": 224 + }, + { + "epoch": 2.06, + "learning_rate": 9.011494252873564e-05, + "loss": 0.0079, + "step": 225 + }, + { + "epoch": 2.07, + "learning_rate": 9.006896551724139e-05, + "loss": 0.0484, + "step": 226 + }, + { + "epoch": 2.08, + "learning_rate": 9.002298850574713e-05, + "loss": 0.7222, + "step": 227 + }, + { + "epoch": 2.09, + "learning_rate": 8.997701149425288e-05, + "loss": 0.0005, + "step": 228 + }, + { + "epoch": 2.1, + "learning_rate": 8.993103448275863e-05, + "loss": 0.127, + "step": 229 + }, + { + "epoch": 2.11, + "learning_rate": 8.988505747126437e-05, + "loss": 0.097, + "step": 230 + }, + { + "epoch": 2.12, + "learning_rate": 8.983908045977012e-05, + "loss": 0.0061, + "step": 231 + }, + { + "epoch": 2.13, + "learning_rate": 8.979310344827586e-05, + "loss": 0.0039, + "step": 232 + }, + { + "epoch": 2.14, + "learning_rate": 8.974712643678161e-05, + "loss": 0.0005, + "step": 233 + }, + { + "epoch": 2.15, + "learning_rate": 8.970114942528736e-05, + "loss": 0.1735, + "step": 234 + }, + { + "epoch": 2.16, + "learning_rate": 8.96551724137931e-05, + "loss": 0.2443, + "step": 235 + }, + { + "epoch": 2.17, + "learning_rate": 8.960919540229885e-05, + "loss": 0.0007, + "step": 236 + }, + { + "epoch": 2.17, + "learning_rate": 8.956321839080461e-05, + "loss": 0.0206, + "step": 237 + }, + { + "epoch": 2.18, + "learning_rate": 8.951724137931034e-05, + "loss": 0.0003, + "step": 238 + }, + { + "epoch": 2.19, + "learning_rate": 8.94712643678161e-05, + "loss": 0.0261, + "step": 239 + }, + { + "epoch": 2.2, + "learning_rate": 8.942528735632183e-05, + "loss": 0.0019, + "step": 240 + }, + { + "epoch": 2.21, + "learning_rate": 8.93793103448276e-05, + "loss": 0.0026, + "step": 241 + }, + { + "epoch": 2.22, + "learning_rate": 8.933333333333334e-05, + "loss": 2.2971, + "step": 242 + }, + { + "epoch": 2.23, + "learning_rate": 8.928735632183909e-05, + "loss": 0.0004, + "step": 243 + }, + { + "epoch": 2.24, + "learning_rate": 8.924137931034483e-05, + "loss": 0.1492, + "step": 244 + }, + { + "epoch": 2.25, + "learning_rate": 8.919540229885058e-05, + "loss": 0.0116, + "step": 245 + }, + { + "epoch": 2.26, + "learning_rate": 8.914942528735633e-05, + "loss": 0.0658, + "step": 246 + }, + { + "epoch": 2.27, + "learning_rate": 8.910344827586207e-05, + "loss": 0.0107, + "step": 247 + }, + { + "epoch": 2.28, + "learning_rate": 8.905747126436782e-05, + "loss": 0.3834, + "step": 248 + }, + { + "epoch": 2.28, + "learning_rate": 8.901149425287358e-05, + "loss": 0.0006, + "step": 249 + }, + { + "epoch": 2.29, + "learning_rate": 8.896551724137931e-05, + "loss": 0.3983, + "step": 250 + }, + { + "epoch": 2.3, + "learning_rate": 8.891954022988506e-05, + "loss": 0.0829, + "step": 251 + }, + { + "epoch": 2.31, + "learning_rate": 8.88735632183908e-05, + "loss": 0.2372, + "step": 252 + }, + { + "epoch": 2.32, + "learning_rate": 8.882758620689655e-05, + "loss": 0.4324, + "step": 253 + }, + { + "epoch": 2.33, + "learning_rate": 8.878160919540231e-05, + "loss": 0.0332, + "step": 254 + }, + { + "epoch": 2.34, + "learning_rate": 8.873563218390804e-05, + "loss": 0.0005, + "step": 255 + }, + { + "epoch": 2.35, + "learning_rate": 8.86896551724138e-05, + "loss": 0.0023, + "step": 256 + }, + { + "epoch": 2.36, + "learning_rate": 8.864367816091954e-05, + "loss": 0.3183, + "step": 257 + }, + { + "epoch": 2.37, + "learning_rate": 8.85977011494253e-05, + "loss": 0.5345, + "step": 258 + }, + { + "epoch": 2.38, + "learning_rate": 8.855172413793104e-05, + "loss": 0.0129, + "step": 259 + }, + { + "epoch": 2.39, + "learning_rate": 8.850574712643679e-05, + "loss": 0.0197, + "step": 260 + }, + { + "epoch": 2.39, + "learning_rate": 8.845977011494253e-05, + "loss": 0.0, + "step": 261 + }, + { + "epoch": 2.4, + "learning_rate": 8.841379310344828e-05, + "loss": 0.0458, + "step": 262 + }, + { + "epoch": 2.41, + "learning_rate": 8.836781609195403e-05, + "loss": 0.0956, + "step": 263 + }, + { + "epoch": 2.42, + "learning_rate": 8.832183908045977e-05, + "loss": 0.278, + "step": 264 + }, + { + "epoch": 2.43, + "learning_rate": 8.827586206896552e-05, + "loss": 0.1117, + "step": 265 + }, + { + "epoch": 2.44, + "learning_rate": 8.822988505747128e-05, + "loss": 0.0, + "step": 266 + }, + { + "epoch": 2.45, + "learning_rate": 8.818390804597701e-05, + "loss": 0.1784, + "step": 267 + }, + { + "epoch": 2.46, + "learning_rate": 8.813793103448277e-05, + "loss": 0.0005, + "step": 268 + }, + { + "epoch": 2.47, + "learning_rate": 8.80919540229885e-05, + "loss": 0.0001, + "step": 269 + }, + { + "epoch": 2.48, + "learning_rate": 8.804597701149425e-05, + "loss": 0.0001, + "step": 270 + }, + { + "epoch": 2.49, + "learning_rate": 8.800000000000001e-05, + "loss": 0.1491, + "step": 271 + }, + { + "epoch": 2.5, + "learning_rate": 8.795402298850574e-05, + "loss": 0.269, + "step": 272 + }, + { + "epoch": 2.5, + "learning_rate": 8.79080459770115e-05, + "loss": 0.0, + "step": 273 + }, + { + "epoch": 2.51, + "learning_rate": 8.786206896551724e-05, + "loss": 1.8217, + "step": 274 + }, + { + "epoch": 2.52, + "learning_rate": 8.7816091954023e-05, + "loss": 1.2318, + "step": 275 + }, + { + "epoch": 2.53, + "learning_rate": 8.777011494252874e-05, + "loss": 1.2411, + "step": 276 + }, + { + "epoch": 2.54, + "learning_rate": 8.772413793103449e-05, + "loss": 0.0006, + "step": 277 + }, + { + "epoch": 2.55, + "learning_rate": 8.767816091954024e-05, + "loss": 0.8842, + "step": 278 + }, + { + "epoch": 2.56, + "learning_rate": 8.763218390804598e-05, + "loss": 0.1592, + "step": 279 + }, + { + "epoch": 2.57, + "learning_rate": 8.758620689655173e-05, + "loss": 0.467, + "step": 280 + }, + { + "epoch": 2.58, + "learning_rate": 8.754022988505747e-05, + "loss": 2.0205, + "step": 281 + }, + { + "epoch": 2.59, + "learning_rate": 8.749425287356322e-05, + "loss": 0.0208, + "step": 282 + }, + { + "epoch": 2.6, + "learning_rate": 8.744827586206897e-05, + "loss": 0.0001, + "step": 283 + }, + { + "epoch": 2.61, + "learning_rate": 8.740229885057471e-05, + "loss": 0.0, + "step": 284 + }, + { + "epoch": 2.61, + "learning_rate": 8.735632183908047e-05, + "loss": 0.6909, + "step": 285 + }, + { + "epoch": 2.62, + "learning_rate": 8.73103448275862e-05, + "loss": 2.6178, + "step": 286 + }, + { + "epoch": 2.63, + "learning_rate": 8.726436781609197e-05, + "loss": 0.0022, + "step": 287 + }, + { + "epoch": 2.64, + "learning_rate": 8.72183908045977e-05, + "loss": 0.4241, + "step": 288 + }, + { + "epoch": 2.65, + "learning_rate": 8.717241379310346e-05, + "loss": 0.9552, + "step": 289 + }, + { + "epoch": 2.66, + "learning_rate": 8.71264367816092e-05, + "loss": 0.0001, + "step": 290 + }, + { + "epoch": 2.67, + "learning_rate": 8.708045977011494e-05, + "loss": 0.0, + "step": 291 + }, + { + "epoch": 2.68, + "learning_rate": 8.70344827586207e-05, + "loss": 0.0001, + "step": 292 + }, + { + "epoch": 2.69, + "learning_rate": 8.698850574712643e-05, + "loss": 0.0004, + "step": 293 + }, + { + "epoch": 2.7, + "learning_rate": 8.694252873563219e-05, + "loss": 0.0008, + "step": 294 + }, + { + "epoch": 2.71, + "learning_rate": 8.689655172413794e-05, + "loss": 0.0567, + "step": 295 + }, + { + "epoch": 2.72, + "learning_rate": 8.685057471264368e-05, + "loss": 0.0014, + "step": 296 + }, + { + "epoch": 2.72, + "learning_rate": 8.680459770114943e-05, + "loss": 0.0343, + "step": 297 + }, + { + "epoch": 2.73, + "learning_rate": 8.675862068965518e-05, + "loss": 0.0002, + "step": 298 + }, + { + "epoch": 2.74, + "learning_rate": 8.671264367816092e-05, + "loss": 0.0005, + "step": 299 + }, + { + "epoch": 2.75, + "learning_rate": 8.666666666666667e-05, + "loss": 0.9325, + "step": 300 + }, + { + "epoch": 2.76, + "learning_rate": 8.662068965517241e-05, + "loss": 0.5408, + "step": 301 + }, + { + "epoch": 2.77, + "learning_rate": 8.657471264367817e-05, + "loss": 0.0214, + "step": 302 + }, + { + "epoch": 2.78, + "learning_rate": 8.652873563218391e-05, + "loss": 0.0018, + "step": 303 + }, + { + "epoch": 2.79, + "learning_rate": 8.648275862068967e-05, + "loss": 0.0003, + "step": 304 + }, + { + "epoch": 2.8, + "learning_rate": 8.64367816091954e-05, + "loss": 0.0991, + "step": 305 + }, + { + "epoch": 2.81, + "learning_rate": 8.639080459770116e-05, + "loss": 0.0286, + "step": 306 + }, + { + "epoch": 2.82, + "learning_rate": 8.63448275862069e-05, + "loss": 0.001, + "step": 307 + }, + { + "epoch": 2.83, + "learning_rate": 8.629885057471265e-05, + "loss": 0.1312, + "step": 308 + }, + { + "epoch": 2.83, + "learning_rate": 8.62528735632184e-05, + "loss": 0.009, + "step": 309 + }, + { + "epoch": 2.84, + "learning_rate": 8.620689655172413e-05, + "loss": 0.0003, + "step": 310 + }, + { + "epoch": 2.85, + "learning_rate": 8.616091954022989e-05, + "loss": 0.0511, + "step": 311 + }, + { + "epoch": 2.86, + "learning_rate": 8.611494252873564e-05, + "loss": 1.1161, + "step": 312 + }, + { + "epoch": 2.87, + "learning_rate": 8.606896551724138e-05, + "loss": 0.0288, + "step": 313 + }, + { + "epoch": 2.88, + "learning_rate": 8.602298850574713e-05, + "loss": 0.0, + "step": 314 + }, + { + "epoch": 2.89, + "learning_rate": 8.597701149425288e-05, + "loss": 0.003, + "step": 315 + }, + { + "epoch": 2.9, + "learning_rate": 8.597701149425288e-05, + "loss": 1.0016, + "step": 316 + }, + { + "epoch": 2.91, + "learning_rate": 8.593103448275862e-05, + "loss": 0.522, + "step": 317 + }, + { + "epoch": 2.92, + "learning_rate": 8.588505747126437e-05, + "loss": 0.3683, + "step": 318 + }, + { + "epoch": 2.93, + "learning_rate": 8.583908045977012e-05, + "loss": 0.1132, + "step": 319 + }, + { + "epoch": 2.94, + "learning_rate": 8.579310344827588e-05, + "loss": 0.2868, + "step": 320 + }, + { + "epoch": 2.94, + "learning_rate": 8.574712643678161e-05, + "loss": 0.0071, + "step": 321 + }, + { + "epoch": 2.95, + "learning_rate": 8.574712643678161e-05, + "loss": 0.7119, + "step": 322 + }, + { + "epoch": 2.96, + "learning_rate": 8.570114942528737e-05, + "loss": 0.965, + "step": 323 + }, + { + "epoch": 2.97, + "learning_rate": 8.570114942528737e-05, + "loss": 0.6825, + "step": 324 + }, + { + "epoch": 2.98, + "learning_rate": 8.56551724137931e-05, + "loss": 0.1487, + "step": 325 + }, + { + "epoch": 2.99, + "learning_rate": 8.560919540229886e-05, + "loss": 0.1148, + "step": 326 + }, + { + "epoch": 3.0, + "learning_rate": 8.556321839080461e-05, + "loss": 0.0207, + "step": 327 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.6280487804878049, + "eval_loss": 2.292419910430908, + "eval_runtime": 13.8764, + "eval_samples_per_second": 11.819, + "eval_steps_per_second": 1.513, + "step": 327 + }, + { + "epoch": 3.01, + "learning_rate": 8.551724137931035e-05, + "loss": 0.0438, + "step": 328 + }, + { + "epoch": 3.02, + "learning_rate": 8.54712643678161e-05, + "loss": 0.0008, + "step": 329 + }, + { + "epoch": 3.03, + "learning_rate": 8.542528735632185e-05, + "loss": 0.0096, + "step": 330 + }, + { + "epoch": 3.04, + "learning_rate": 8.537931034482759e-05, + "loss": 0.0326, + "step": 331 + }, + { + "epoch": 3.05, + "learning_rate": 8.533333333333334e-05, + "loss": 0.0002, + "step": 332 + }, + { + "epoch": 3.06, + "learning_rate": 8.533333333333334e-05, + "loss": 0.8887, + "step": 333 + }, + { + "epoch": 3.06, + "learning_rate": 8.528735632183908e-05, + "loss": 0.0019, + "step": 334 + }, + { + "epoch": 3.07, + "learning_rate": 8.524137931034483e-05, + "loss": 0.2207, + "step": 335 + }, + { + "epoch": 3.08, + "learning_rate": 8.519540229885058e-05, + "loss": 0.1587, + "step": 336 + }, + { + "epoch": 3.09, + "learning_rate": 8.514942528735632e-05, + "loss": 0.4261, + "step": 337 + }, + { + "epoch": 3.1, + "learning_rate": 8.514942528735632e-05, + "loss": 0.7838, + "step": 338 + }, + { + "epoch": 3.11, + "learning_rate": 8.510344827586207e-05, + "loss": 0.111, + "step": 339 + }, + { + "epoch": 3.12, + "learning_rate": 8.505747126436782e-05, + "loss": 0.122, + "step": 340 + }, + { + "epoch": 3.13, + "learning_rate": 8.501149425287356e-05, + "loss": 0.6099, + "step": 341 + }, + { + "epoch": 3.14, + "learning_rate": 8.496551724137931e-05, + "loss": 0.5102, + "step": 342 + }, + { + "epoch": 3.15, + "learning_rate": 8.491954022988507e-05, + "loss": 1.087, + "step": 343 + }, + { + "epoch": 3.16, + "learning_rate": 8.48735632183908e-05, + "loss": 0.9862, + "step": 344 + }, + { + "epoch": 3.17, + "learning_rate": 8.482758620689656e-05, + "loss": 0.5406, + "step": 345 + }, + { + "epoch": 3.17, + "learning_rate": 8.47816091954023e-05, + "loss": 1.8497, + "step": 346 + }, + { + "epoch": 3.18, + "learning_rate": 8.473563218390805e-05, + "loss": 2.7576, + "step": 347 + }, + { + "epoch": 3.19, + "learning_rate": 8.46896551724138e-05, + "loss": 4.038, + "step": 348 + }, + { + "epoch": 3.2, + "learning_rate": 8.464367816091955e-05, + "loss": 2.2978, + "step": 349 + }, + { + "epoch": 3.21, + "learning_rate": 8.459770114942529e-05, + "loss": 2.4796, + "step": 350 + }, + { + "epoch": 3.22, + "learning_rate": 8.455172413793104e-05, + "loss": 3.8485, + "step": 351 + }, + { + "epoch": 3.23, + "learning_rate": 8.450574712643679e-05, + "loss": 2.7897, + "step": 352 + }, + { + "epoch": 3.24, + "learning_rate": 8.445977011494253e-05, + "loss": 3.4341, + "step": 353 + }, + { + "epoch": 3.25, + "learning_rate": 8.441379310344828e-05, + "loss": 3.4921, + "step": 354 + }, + { + "epoch": 3.26, + "learning_rate": 8.436781609195402e-05, + "loss": 4.8688, + "step": 355 + }, + { + "epoch": 3.27, + "learning_rate": 8.432183908045977e-05, + "loss": 4.1337, + "step": 356 + }, + { + "epoch": 3.28, + "learning_rate": 8.427586206896552e-05, + "loss": 5.276, + "step": 357 + }, + { + "epoch": 3.28, + "learning_rate": 8.422988505747126e-05, + "loss": 3.3783, + "step": 358 + }, + { + "epoch": 3.29, + "learning_rate": 8.418390804597701e-05, + "loss": 5.7553, + "step": 359 + }, + { + "epoch": 3.3, + "learning_rate": 8.413793103448277e-05, + "loss": 3.6846, + "step": 360 + }, + { + "epoch": 3.31, + "learning_rate": 8.40919540229885e-05, + "loss": 5.5257, + "step": 361 + }, + { + "epoch": 3.32, + "learning_rate": 8.404597701149426e-05, + "loss": 3.842, + "step": 362 + }, + { + "epoch": 3.33, + "learning_rate": 8.4e-05, + "loss": 4.8504, + "step": 363 + }, + { + "epoch": 3.34, + "learning_rate": 8.395402298850576e-05, + "loss": 3.0007, + "step": 364 + }, + { + "epoch": 3.35, + "learning_rate": 8.39080459770115e-05, + "loss": 5.071, + "step": 365 + }, + { + "epoch": 3.36, + "learning_rate": 8.386206896551725e-05, + "loss": 3.5151, + "step": 366 + }, + { + "epoch": 3.37, + "learning_rate": 8.3816091954023e-05, + "loss": 3.2012, + "step": 367 + }, + { + "epoch": 3.38, + "learning_rate": 8.377011494252874e-05, + "loss": 2.9036, + "step": 368 + }, + { + "epoch": 3.39, + "learning_rate": 8.372413793103449e-05, + "loss": 2.6111, + "step": 369 + }, + { + "epoch": 3.39, + "learning_rate": 8.367816091954023e-05, + "loss": 2.9521, + "step": 370 + }, + { + "epoch": 3.4, + "learning_rate": 8.363218390804598e-05, + "loss": 2.6554, + "step": 371 + }, + { + "epoch": 3.41, + "learning_rate": 8.358620689655174e-05, + "loss": 2.1818, + "step": 372 + }, + { + "epoch": 3.42, + "learning_rate": 8.354022988505747e-05, + "loss": 2.0701, + "step": 373 + }, + { + "epoch": 3.43, + "learning_rate": 8.349425287356323e-05, + "loss": 1.9787, + "step": 374 + }, + { + "epoch": 3.44, + "learning_rate": 8.344827586206896e-05, + "loss": 1.8641, + "step": 375 + }, + { + "epoch": 3.45, + "learning_rate": 8.340229885057471e-05, + "loss": 2.2446, + "step": 376 + }, + { + "epoch": 3.46, + "learning_rate": 8.335632183908047e-05, + "loss": 2.1309, + "step": 377 + }, + { + "epoch": 3.47, + "learning_rate": 8.33103448275862e-05, + "loss": 1.6129, + "step": 378 + }, + { + "epoch": 3.48, + "learning_rate": 8.326436781609196e-05, + "loss": 2.1021, + "step": 379 + }, + { + "epoch": 3.49, + "learning_rate": 8.32183908045977e-05, + "loss": 1.6412, + "step": 380 + }, + { + "epoch": 3.5, + "learning_rate": 8.317241379310346e-05, + "loss": 2.2044, + "step": 381 + }, + { + "epoch": 3.5, + "learning_rate": 8.31264367816092e-05, + "loss": 2.4867, + "step": 382 + }, + { + "epoch": 3.51, + "learning_rate": 8.308045977011495e-05, + "loss": 1.5561, + "step": 383 + }, + { + "epoch": 3.52, + "learning_rate": 8.30344827586207e-05, + "loss": 2.0623, + "step": 384 + }, + { + "epoch": 3.53, + "learning_rate": 8.298850574712644e-05, + "loss": 1.7909, + "step": 385 + }, + { + "epoch": 3.54, + "learning_rate": 8.294252873563219e-05, + "loss": 2.4909, + "step": 386 + }, + { + "epoch": 3.55, + "learning_rate": 8.289655172413793e-05, + "loss": 1.6948, + "step": 387 + }, + { + "epoch": 3.56, + "learning_rate": 8.285057471264368e-05, + "loss": 1.7915, + "step": 388 + }, + { + "epoch": 3.57, + "learning_rate": 8.280459770114943e-05, + "loss": 1.672, + "step": 389 + }, + { + "epoch": 3.58, + "learning_rate": 8.275862068965517e-05, + "loss": 1.5677, + "step": 390 + }, + { + "epoch": 3.59, + "learning_rate": 8.271264367816093e-05, + "loss": 2.3682, + "step": 391 + }, + { + "epoch": 3.6, + "learning_rate": 8.266666666666667e-05, + "loss": 2.375, + "step": 392 + }, + { + "epoch": 3.61, + "learning_rate": 8.262068965517243e-05, + "loss": 2.2048, + "step": 393 + }, + { + "epoch": 3.61, + "learning_rate": 8.257471264367816e-05, + "loss": 1.5205, + "step": 394 + }, + { + "epoch": 3.62, + "learning_rate": 8.25287356321839e-05, + "loss": 2.5317, + "step": 395 + }, + { + "epoch": 3.63, + "learning_rate": 8.248275862068966e-05, + "loss": 1.9683, + "step": 396 + }, + { + "epoch": 3.64, + "learning_rate": 8.24367816091954e-05, + "loss": 2.1746, + "step": 397 + }, + { + "epoch": 3.65, + "learning_rate": 8.239080459770116e-05, + "loss": 1.7266, + "step": 398 + }, + { + "epoch": 3.66, + "learning_rate": 8.234482758620689e-05, + "loss": 1.4727, + "step": 399 + }, + { + "epoch": 3.67, + "learning_rate": 8.229885057471265e-05, + "loss": 2.223, + "step": 400 + }, + { + "epoch": 3.68, + "learning_rate": 8.22528735632184e-05, + "loss": 2.1956, + "step": 401 + }, + { + "epoch": 3.69, + "learning_rate": 8.220689655172414e-05, + "loss": 1.4727, + "step": 402 + }, + { + "epoch": 3.7, + "learning_rate": 8.216091954022989e-05, + "loss": 2.0462, + "step": 403 + }, + { + "epoch": 3.71, + "learning_rate": 8.211494252873564e-05, + "loss": 1.9425, + "step": 404 + }, + { + "epoch": 3.72, + "learning_rate": 8.206896551724138e-05, + "loss": 2.0615, + "step": 405 + }, + { + "epoch": 3.72, + "learning_rate": 8.202298850574713e-05, + "loss": 1.9185, + "step": 406 + }, + { + "epoch": 3.73, + "learning_rate": 8.197701149425287e-05, + "loss": 1.543, + "step": 407 + }, + { + "epoch": 3.74, + "learning_rate": 8.193103448275863e-05, + "loss": 1.9578, + "step": 408 + }, + { + "epoch": 3.75, + "learning_rate": 8.188505747126437e-05, + "loss": 1.9735, + "step": 409 + }, + { + "epoch": 3.76, + "learning_rate": 8.183908045977013e-05, + "loss": 1.7452, + "step": 410 + }, + { + "epoch": 3.77, + "learning_rate": 8.179310344827586e-05, + "loss": 1.7625, + "step": 411 + }, + { + "epoch": 3.78, + "learning_rate": 8.174712643678162e-05, + "loss": 1.7108, + "step": 412 + }, + { + "epoch": 3.79, + "learning_rate": 8.170114942528737e-05, + "loss": 2.1712, + "step": 413 + }, + { + "epoch": 3.8, + "learning_rate": 8.165517241379311e-05, + "loss": 1.8252, + "step": 414 + }, + { + "epoch": 3.81, + "learning_rate": 8.160919540229886e-05, + "loss": 2.013, + "step": 415 + }, + { + "epoch": 3.82, + "learning_rate": 8.156321839080459e-05, + "loss": 2.0345, + "step": 416 + }, + { + "epoch": 3.83, + "learning_rate": 8.151724137931035e-05, + "loss": 2.0923, + "step": 417 + }, + { + "epoch": 3.83, + "learning_rate": 8.14712643678161e-05, + "loss": 1.729, + "step": 418 + }, + { + "epoch": 3.84, + "learning_rate": 8.142528735632184e-05, + "loss": 2.1458, + "step": 419 + }, + { + "epoch": 3.85, + "learning_rate": 8.137931034482759e-05, + "loss": 2.2624, + "step": 420 + }, + { + "epoch": 3.86, + "learning_rate": 8.133333333333334e-05, + "loss": 1.9985, + "step": 421 + }, + { + "epoch": 3.87, + "learning_rate": 8.128735632183908e-05, + "loss": 1.9106, + "step": 422 + }, + { + "epoch": 3.88, + "learning_rate": 8.124137931034483e-05, + "loss": 2.5249, + "step": 423 + }, + { + "epoch": 3.89, + "learning_rate": 8.119540229885058e-05, + "loss": 2.2891, + "step": 424 + }, + { + "epoch": 3.9, + "learning_rate": 8.114942528735633e-05, + "loss": 1.668, + "step": 425 + }, + { + "epoch": 3.91, + "learning_rate": 8.110344827586207e-05, + "loss": 1.7, + "step": 426 + }, + { + "epoch": 3.92, + "learning_rate": 8.105747126436783e-05, + "loss": 2.1659, + "step": 427 + }, + { + "epoch": 3.93, + "learning_rate": 8.101149425287356e-05, + "loss": 1.8076, + "step": 428 + }, + { + "epoch": 3.94, + "learning_rate": 8.096551724137932e-05, + "loss": 1.8, + "step": 429 + }, + { + "epoch": 3.94, + "learning_rate": 8.091954022988507e-05, + "loss": 2.1989, + "step": 430 + }, + { + "epoch": 3.95, + "learning_rate": 8.087356321839081e-05, + "loss": 1.7143, + "step": 431 + }, + { + "epoch": 3.96, + "learning_rate": 8.082758620689656e-05, + "loss": 1.9302, + "step": 432 + }, + { + "epoch": 3.97, + "learning_rate": 8.07816091954023e-05, + "loss": 1.7413, + "step": 433 + }, + { + "epoch": 3.98, + "learning_rate": 8.073563218390805e-05, + "loss": 1.7524, + "step": 434 + }, + { + "epoch": 3.99, + "learning_rate": 8.06896551724138e-05, + "loss": 1.9447, + "step": 435 + }, + { + "epoch": 4.0, + "learning_rate": 8.064367816091954e-05, + "loss": 1.5647, + "step": 436 + }, + { + "epoch": 4.0, + "eval_accuracy": 0.22560975609756098, + "eval_loss": 1.9343886375427246, + "eval_runtime": 13.7592, + "eval_samples_per_second": 11.919, + "eval_steps_per_second": 1.526, + "step": 436 + }, + { + "epoch": 4.01, + "learning_rate": 8.059770114942529e-05, + "loss": 1.6333, + "step": 437 + }, + { + "epoch": 4.02, + "learning_rate": 8.055172413793104e-05, + "loss": 1.6856, + "step": 438 + }, + { + "epoch": 4.03, + "learning_rate": 8.050574712643678e-05, + "loss": 2.3695, + "step": 439 + }, + { + "epoch": 4.04, + "learning_rate": 8.045977011494253e-05, + "loss": 1.7945, + "step": 440 + }, + { + "epoch": 4.05, + "learning_rate": 8.041379310344828e-05, + "loss": 2.1624, + "step": 441 + }, + { + "epoch": 4.06, + "learning_rate": 8.036781609195402e-05, + "loss": 1.7616, + "step": 442 + }, + { + "epoch": 4.06, + "learning_rate": 8.032183908045977e-05, + "loss": 1.557, + "step": 443 + }, + { + "epoch": 4.07, + "learning_rate": 8.027586206896553e-05, + "loss": 1.689, + "step": 444 + }, + { + "epoch": 4.08, + "learning_rate": 8.022988505747126e-05, + "loss": 1.4793, + "step": 445 + }, + { + "epoch": 4.09, + "learning_rate": 8.018390804597702e-05, + "loss": 1.5692, + "step": 446 + }, + { + "epoch": 4.1, + "learning_rate": 8.013793103448275e-05, + "loss": 2.1131, + "step": 447 + }, + { + "epoch": 4.11, + "learning_rate": 8.009195402298851e-05, + "loss": 1.9056, + "step": 448 + }, + { + "epoch": 4.12, + "learning_rate": 8.004597701149426e-05, + "loss": 1.6618, + "step": 449 + }, + { + "epoch": 4.13, + "learning_rate": 8e-05, + "loss": 1.9688, + "step": 450 + }, + { + "epoch": 4.14, + "learning_rate": 7.995402298850575e-05, + "loss": 2.0741, + "step": 451 + }, + { + "epoch": 4.15, + "learning_rate": 7.99080459770115e-05, + "loss": 1.9928, + "step": 452 + }, + { + "epoch": 4.16, + "learning_rate": 7.986206896551725e-05, + "loss": 1.807, + "step": 453 + }, + { + "epoch": 4.17, + "learning_rate": 7.981609195402299e-05, + "loss": 1.9935, + "step": 454 + }, + { + "epoch": 4.17, + "learning_rate": 7.977011494252874e-05, + "loss": 2.2464, + "step": 455 + }, + { + "epoch": 4.18, + "learning_rate": 7.972413793103448e-05, + "loss": 1.6822, + "step": 456 + }, + { + "epoch": 4.19, + "learning_rate": 7.967816091954023e-05, + "loss": 1.9629, + "step": 457 + }, + { + "epoch": 4.2, + "learning_rate": 7.963218390804598e-05, + "loss": 1.7938, + "step": 458 + }, + { + "epoch": 4.21, + "learning_rate": 7.958620689655172e-05, + "loss": 1.98, + "step": 459 + }, + { + "epoch": 4.22, + "learning_rate": 7.954022988505747e-05, + "loss": 1.5706, + "step": 460 + }, + { + "epoch": 4.23, + "learning_rate": 7.949425287356323e-05, + "loss": 1.9338, + "step": 461 + }, + { + "epoch": 4.24, + "learning_rate": 7.944827586206896e-05, + "loss": 1.7342, + "step": 462 + }, + { + "epoch": 4.25, + "learning_rate": 7.940229885057472e-05, + "loss": 2.0734, + "step": 463 + }, + { + "epoch": 4.26, + "learning_rate": 7.935632183908046e-05, + "loss": 2.0415, + "step": 464 + }, + { + "epoch": 4.27, + "learning_rate": 7.931034482758621e-05, + "loss": 1.6935, + "step": 465 + }, + { + "epoch": 4.28, + "learning_rate": 7.926436781609196e-05, + "loss": 1.9387, + "step": 466 + }, + { + "epoch": 4.28, + "learning_rate": 7.921839080459771e-05, + "loss": 2.0369, + "step": 467 + }, + { + "epoch": 4.29, + "learning_rate": 7.917241379310345e-05, + "loss": 1.572, + "step": 468 + }, + { + "epoch": 4.3, + "learning_rate": 7.91264367816092e-05, + "loss": 2.2131, + "step": 469 + }, + { + "epoch": 4.31, + "learning_rate": 7.908045977011495e-05, + "loss": 2.2298, + "step": 470 + }, + { + "epoch": 4.32, + "learning_rate": 7.903448275862069e-05, + "loss": 2.3888, + "step": 471 + }, + { + "epoch": 4.33, + "learning_rate": 7.898850574712644e-05, + "loss": 1.9611, + "step": 472 + }, + { + "epoch": 4.34, + "learning_rate": 7.89425287356322e-05, + "loss": 1.6646, + "step": 473 + }, + { + "epoch": 4.35, + "learning_rate": 7.889655172413793e-05, + "loss": 1.8882, + "step": 474 + }, + { + "epoch": 4.36, + "learning_rate": 7.885057471264368e-05, + "loss": 1.4906, + "step": 475 + }, + { + "epoch": 4.37, + "learning_rate": 7.880459770114942e-05, + "loss": 2.666, + "step": 476 + }, + { + "epoch": 4.38, + "learning_rate": 7.875862068965517e-05, + "loss": 1.8164, + "step": 477 + }, + { + "epoch": 4.39, + "learning_rate": 7.871264367816093e-05, + "loss": 1.6232, + "step": 478 + }, + { + "epoch": 4.39, + "learning_rate": 7.866666666666666e-05, + "loss": 1.4965, + "step": 479 + }, + { + "epoch": 4.4, + "learning_rate": 7.862068965517242e-05, + "loss": 1.7057, + "step": 480 + }, + { + "epoch": 4.41, + "learning_rate": 7.857471264367816e-05, + "loss": 2.3079, + "step": 481 + }, + { + "epoch": 4.42, + "learning_rate": 7.852873563218392e-05, + "loss": 1.4268, + "step": 482 + }, + { + "epoch": 4.43, + "learning_rate": 7.848275862068966e-05, + "loss": 1.832, + "step": 483 + }, + { + "epoch": 4.44, + "learning_rate": 7.843678160919541e-05, + "loss": 1.9131, + "step": 484 + }, + { + "epoch": 4.45, + "learning_rate": 7.839080459770115e-05, + "loss": 2.2351, + "step": 485 + }, + { + "epoch": 4.46, + "learning_rate": 7.83448275862069e-05, + "loss": 1.8963, + "step": 486 + }, + { + "epoch": 4.47, + "learning_rate": 7.829885057471265e-05, + "loss": 1.5729, + "step": 487 + }, + { + "epoch": 4.48, + "learning_rate": 7.82528735632184e-05, + "loss": 1.666, + "step": 488 + }, + { + "epoch": 4.49, + "learning_rate": 7.820689655172414e-05, + "loss": 1.5511, + "step": 489 + }, + { + "epoch": 4.5, + "learning_rate": 7.81609195402299e-05, + "loss": 1.5701, + "step": 490 + }, + { + "epoch": 4.5, + "learning_rate": 7.811494252873563e-05, + "loss": 1.5034, + "step": 491 + }, + { + "epoch": 4.51, + "learning_rate": 7.806896551724139e-05, + "loss": 2.2518, + "step": 492 + }, + { + "epoch": 4.52, + "learning_rate": 7.802298850574713e-05, + "loss": 1.6068, + "step": 493 + }, + { + "epoch": 4.53, + "learning_rate": 7.797701149425287e-05, + "loss": 1.7186, + "step": 494 + }, + { + "epoch": 4.54, + "learning_rate": 7.793103448275862e-05, + "loss": 1.8242, + "step": 495 + }, + { + "epoch": 4.55, + "learning_rate": 7.788505747126436e-05, + "loss": 1.7521, + "step": 496 + }, + { + "epoch": 4.56, + "learning_rate": 7.783908045977012e-05, + "loss": 2.0605, + "step": 497 + }, + { + "epoch": 4.57, + "learning_rate": 7.779310344827586e-05, + "loss": 1.9621, + "step": 498 + }, + { + "epoch": 4.58, + "learning_rate": 7.774712643678162e-05, + "loss": 1.597, + "step": 499 + }, + { + "epoch": 4.59, + "learning_rate": 7.770114942528735e-05, + "loss": 2.2424, + "step": 500 + }, + { + "epoch": 4.6, + "learning_rate": 7.765517241379311e-05, + "loss": 2.0083, + "step": 501 + }, + { + "epoch": 4.61, + "learning_rate": 7.760919540229886e-05, + "loss": 2.2173, + "step": 502 + }, + { + "epoch": 4.61, + "learning_rate": 7.75632183908046e-05, + "loss": 2.2157, + "step": 503 + }, + { + "epoch": 4.62, + "learning_rate": 7.751724137931035e-05, + "loss": 1.9162, + "step": 504 + }, + { + "epoch": 4.63, + "learning_rate": 7.74712643678161e-05, + "loss": 1.9079, + "step": 505 + }, + { + "epoch": 4.64, + "learning_rate": 7.742528735632184e-05, + "loss": 1.7954, + "step": 506 + }, + { + "epoch": 4.65, + "learning_rate": 7.737931034482759e-05, + "loss": 1.8683, + "step": 507 + }, + { + "epoch": 4.66, + "learning_rate": 7.733333333333333e-05, + "loss": 2.2458, + "step": 508 + }, + { + "epoch": 4.67, + "learning_rate": 7.72873563218391e-05, + "loss": 1.6823, + "step": 509 + }, + { + "epoch": 4.68, + "learning_rate": 7.724137931034483e-05, + "loss": 2.757, + "step": 510 + }, + { + "epoch": 4.69, + "learning_rate": 7.719540229885059e-05, + "loss": 1.6662, + "step": 511 + }, + { + "epoch": 4.7, + "learning_rate": 7.714942528735632e-05, + "loss": 1.8411, + "step": 512 + }, + { + "epoch": 4.71, + "learning_rate": 7.710344827586208e-05, + "loss": 1.596, + "step": 513 + }, + { + "epoch": 4.72, + "learning_rate": 7.705747126436783e-05, + "loss": 1.6668, + "step": 514 + }, + { + "epoch": 4.72, + "learning_rate": 7.701149425287356e-05, + "loss": 2.46, + "step": 515 + }, + { + "epoch": 4.73, + "learning_rate": 7.696551724137932e-05, + "loss": 1.681, + "step": 516 + }, + { + "epoch": 4.74, + "learning_rate": 7.691954022988505e-05, + "loss": 1.62, + "step": 517 + }, + { + "epoch": 4.75, + "learning_rate": 7.687356321839081e-05, + "loss": 1.7124, + "step": 518 + }, + { + "epoch": 4.76, + "learning_rate": 7.682758620689656e-05, + "loss": 1.6846, + "step": 519 + }, + { + "epoch": 4.77, + "learning_rate": 7.67816091954023e-05, + "loss": 1.769, + "step": 520 + }, + { + "epoch": 4.78, + "learning_rate": 7.673563218390805e-05, + "loss": 1.6621, + "step": 521 + }, + { + "epoch": 4.79, + "learning_rate": 7.66896551724138e-05, + "loss": 2.542, + "step": 522 + }, + { + "epoch": 4.8, + "learning_rate": 7.664367816091954e-05, + "loss": 1.7936, + "step": 523 + }, + { + "epoch": 4.81, + "learning_rate": 7.659770114942529e-05, + "loss": 1.8122, + "step": 524 + }, + { + "epoch": 4.82, + "learning_rate": 7.655172413793103e-05, + "loss": 1.8184, + "step": 525 + }, + { + "epoch": 4.83, + "learning_rate": 7.65057471264368e-05, + "loss": 1.9609, + "step": 526 + }, + { + "epoch": 4.83, + "learning_rate": 7.645977011494253e-05, + "loss": 1.5197, + "step": 527 + }, + { + "epoch": 4.84, + "learning_rate": 7.641379310344829e-05, + "loss": 1.5723, + "step": 528 + }, + { + "epoch": 4.85, + "learning_rate": 7.636781609195402e-05, + "loss": 1.965, + "step": 529 + }, + { + "epoch": 4.86, + "learning_rate": 7.632183908045978e-05, + "loss": 1.9922, + "step": 530 + }, + { + "epoch": 4.87, + "learning_rate": 7.627586206896553e-05, + "loss": 1.7246, + "step": 531 + }, + { + "epoch": 4.88, + "learning_rate": 7.622988505747127e-05, + "loss": 2.3324, + "step": 532 + }, + { + "epoch": 4.89, + "learning_rate": 7.618390804597702e-05, + "loss": 1.7375, + "step": 533 + }, + { + "epoch": 4.9, + "learning_rate": 7.613793103448275e-05, + "loss": 2.3625, + "step": 534 + }, + { + "epoch": 4.91, + "learning_rate": 7.609195402298851e-05, + "loss": 2.2788, + "step": 535 + }, + { + "epoch": 4.92, + "learning_rate": 7.604597701149426e-05, + "loss": 1.6123, + "step": 536 + }, + { + "epoch": 4.93, + "learning_rate": 7.6e-05, + "loss": 1.6016, + "step": 537 + }, + { + "epoch": 4.94, + "learning_rate": 7.595402298850575e-05, + "loss": 1.7178, + "step": 538 + }, + { + "epoch": 4.94, + "learning_rate": 7.59080459770115e-05, + "loss": 2.395, + "step": 539 + }, + { + "epoch": 4.95, + "learning_rate": 7.586206896551724e-05, + "loss": 1.8619, + "step": 540 + }, + { + "epoch": 4.96, + "learning_rate": 7.581609195402299e-05, + "loss": 2.2148, + "step": 541 + }, + { + "epoch": 4.97, + "learning_rate": 7.577011494252874e-05, + "loss": 2.3892, + "step": 542 + }, + { + "epoch": 4.98, + "learning_rate": 7.57241379310345e-05, + "loss": 2.0655, + "step": 543 + }, + { + "epoch": 4.99, + "learning_rate": 7.567816091954023e-05, + "loss": 1.6265, + "step": 544 + }, + { + "epoch": 5.0, + "learning_rate": 7.563218390804599e-05, + "loss": 2.2047, + "step": 545 + }, + { + "epoch": 5.0, + "eval_accuracy": 0.22560975609756098, + "eval_loss": 1.9401201009750366, + "eval_runtime": 13.7495, + "eval_samples_per_second": 11.928, + "eval_steps_per_second": 1.527, + "step": 545 + }, + { + "epoch": 5.01, + "learning_rate": 7.558620689655172e-05, + "loss": 1.7788, + "step": 546 + }, + { + "epoch": 5.02, + "learning_rate": 7.554022988505748e-05, + "loss": 2.2297, + "step": 547 + }, + { + "epoch": 5.03, + "learning_rate": 7.549425287356321e-05, + "loss": 1.7134, + "step": 548 + }, + { + "epoch": 5.04, + "learning_rate": 7.544827586206897e-05, + "loss": 1.8003, + "step": 549 + }, + { + "epoch": 5.05, + "learning_rate": 7.540229885057472e-05, + "loss": 1.8055, + "step": 550 + }, + { + "epoch": 5.06, + "learning_rate": 7.535632183908047e-05, + "loss": 2.0462, + "step": 551 + }, + { + "epoch": 5.06, + "learning_rate": 7.531034482758621e-05, + "loss": 1.4995, + "step": 552 + }, + { + "epoch": 5.07, + "learning_rate": 7.526436781609196e-05, + "loss": 1.6777, + "step": 553 + }, + { + "epoch": 5.08, + "learning_rate": 7.52183908045977e-05, + "loss": 1.6595, + "step": 554 + }, + { + "epoch": 5.09, + "learning_rate": 7.517241379310345e-05, + "loss": 1.6724, + "step": 555 + }, + { + "epoch": 5.1, + "learning_rate": 7.51264367816092e-05, + "loss": 1.5505, + "step": 556 + }, + { + "epoch": 5.11, + "learning_rate": 7.508045977011494e-05, + "loss": 1.7629, + "step": 557 + }, + { + "epoch": 5.12, + "learning_rate": 7.503448275862069e-05, + "loss": 1.7228, + "step": 558 + }, + { + "epoch": 5.13, + "learning_rate": 7.498850574712644e-05, + "loss": 2.0435, + "step": 559 + }, + { + "epoch": 5.14, + "learning_rate": 7.494252873563218e-05, + "loss": 1.9549, + "step": 560 + }, + { + "epoch": 5.15, + "learning_rate": 7.489655172413793e-05, + "loss": 1.6808, + "step": 561 + }, + { + "epoch": 5.16, + "learning_rate": 7.485057471264369e-05, + "loss": 1.9697, + "step": 562 + }, + { + "epoch": 5.17, + "learning_rate": 7.480459770114942e-05, + "loss": 1.9958, + "step": 563 + }, + { + "epoch": 5.17, + "learning_rate": 7.475862068965518e-05, + "loss": 1.8628, + "step": 564 + }, + { + "epoch": 5.18, + "learning_rate": 7.471264367816091e-05, + "loss": 2.4049, + "step": 565 + }, + { + "epoch": 5.19, + "learning_rate": 7.466666666666667e-05, + "loss": 2.0194, + "step": 566 + }, + { + "epoch": 5.2, + "learning_rate": 7.462068965517242e-05, + "loss": 1.7708, + "step": 567 + }, + { + "epoch": 5.21, + "learning_rate": 7.457471264367817e-05, + "loss": 1.5848, + "step": 568 + }, + { + "epoch": 5.22, + "learning_rate": 7.452873563218391e-05, + "loss": 3.0573, + "step": 569 + }, + { + "epoch": 5.23, + "learning_rate": 7.448275862068966e-05, + "loss": 1.5132, + "step": 570 + }, + { + "epoch": 5.24, + "learning_rate": 7.44367816091954e-05, + "loss": 1.7882, + "step": 571 + }, + { + "epoch": 5.25, + "learning_rate": 7.439080459770115e-05, + "loss": 2.3348, + "step": 572 + }, + { + "epoch": 5.26, + "learning_rate": 7.43448275862069e-05, + "loss": 1.9481, + "step": 573 + }, + { + "epoch": 5.27, + "learning_rate": 7.429885057471265e-05, + "loss": 1.8252, + "step": 574 + }, + { + "epoch": 5.28, + "learning_rate": 7.425287356321839e-05, + "loss": 1.811, + "step": 575 + }, + { + "epoch": 5.28, + "learning_rate": 7.420689655172414e-05, + "loss": 1.6592, + "step": 576 + }, + { + "epoch": 5.29, + "learning_rate": 7.416091954022988e-05, + "loss": 1.756, + "step": 577 + }, + { + "epoch": 5.3, + "learning_rate": 7.411494252873563e-05, + "loss": 1.3816, + "step": 578 + }, + { + "epoch": 5.31, + "learning_rate": 7.406896551724139e-05, + "loss": 2.3195, + "step": 579 + }, + { + "epoch": 5.32, + "learning_rate": 7.402298850574712e-05, + "loss": 1.8683, + "step": 580 + }, + { + "epoch": 5.33, + "learning_rate": 7.397701149425288e-05, + "loss": 1.8132, + "step": 581 + }, + { + "epoch": 5.34, + "learning_rate": 7.393103448275862e-05, + "loss": 1.7401, + "step": 582 + }, + { + "epoch": 5.35, + "learning_rate": 7.388505747126438e-05, + "loss": 1.9826, + "step": 583 + }, + { + "epoch": 5.36, + "learning_rate": 7.383908045977012e-05, + "loss": 1.8164, + "step": 584 + }, + { + "epoch": 5.37, + "learning_rate": 7.379310344827587e-05, + "loss": 2.3875, + "step": 585 + }, + { + "epoch": 5.38, + "learning_rate": 7.374712643678161e-05, + "loss": 2.437, + "step": 586 + }, + { + "epoch": 5.39, + "learning_rate": 7.370114942528736e-05, + "loss": 1.6499, + "step": 587 + }, + { + "epoch": 5.39, + "learning_rate": 7.365517241379311e-05, + "loss": 1.4867, + "step": 588 + }, + { + "epoch": 5.4, + "learning_rate": 7.360919540229885e-05, + "loss": 2.0332, + "step": 589 + }, + { + "epoch": 5.41, + "learning_rate": 7.35632183908046e-05, + "loss": 1.7773, + "step": 590 + }, + { + "epoch": 5.42, + "learning_rate": 7.351724137931036e-05, + "loss": 2.0991, + "step": 591 + }, + { + "epoch": 5.43, + "learning_rate": 7.347126436781609e-05, + "loss": 2.1195, + "step": 592 + }, + { + "epoch": 5.44, + "learning_rate": 7.342528735632185e-05, + "loss": 1.6899, + "step": 593 + }, + { + "epoch": 5.45, + "learning_rate": 7.337931034482759e-05, + "loss": 1.82, + "step": 594 + }, + { + "epoch": 5.46, + "learning_rate": 7.333333333333333e-05, + "loss": 1.8576, + "step": 595 + }, + { + "epoch": 5.47, + "learning_rate": 7.328735632183909e-05, + "loss": 1.9465, + "step": 596 + }, + { + "epoch": 5.48, + "learning_rate": 7.324137931034482e-05, + "loss": 1.6104, + "step": 597 + }, + { + "epoch": 5.49, + "learning_rate": 7.319540229885058e-05, + "loss": 1.5617, + "step": 598 + }, + { + "epoch": 5.5, + "learning_rate": 7.314942528735632e-05, + "loss": 1.4771, + "step": 599 + }, + { + "epoch": 5.5, + "learning_rate": 7.310344827586208e-05, + "loss": 1.7228, + "step": 600 + }, + { + "epoch": 5.51, + "learning_rate": 7.305747126436781e-05, + "loss": 2.2367, + "step": 601 + }, + { + "epoch": 5.52, + "learning_rate": 7.301149425287357e-05, + "loss": 1.7345, + "step": 602 + }, + { + "epoch": 5.53, + "learning_rate": 7.296551724137932e-05, + "loss": 1.8449, + "step": 603 + }, + { + "epoch": 5.54, + "learning_rate": 7.291954022988506e-05, + "loss": 1.7609, + "step": 604 + }, + { + "epoch": 5.55, + "learning_rate": 7.287356321839081e-05, + "loss": 1.5413, + "step": 605 + }, + { + "epoch": 5.56, + "learning_rate": 7.282758620689655e-05, + "loss": 2.1678, + "step": 606 + }, + { + "epoch": 5.57, + "learning_rate": 7.27816091954023e-05, + "loss": 2.9336, + "step": 607 + }, + { + "epoch": 5.58, + "learning_rate": 7.273563218390805e-05, + "loss": 1.6719, + "step": 608 + }, + { + "epoch": 5.59, + "learning_rate": 7.26896551724138e-05, + "loss": 1.6634, + "step": 609 + }, + { + "epoch": 5.6, + "learning_rate": 7.264367816091955e-05, + "loss": 2.616, + "step": 610 + }, + { + "epoch": 5.61, + "learning_rate": 7.259770114942529e-05, + "loss": 1.8848, + "step": 611 + }, + { + "epoch": 5.61, + "learning_rate": 7.255172413793105e-05, + "loss": 2.2708, + "step": 612 + }, + { + "epoch": 5.62, + "learning_rate": 7.250574712643678e-05, + "loss": 1.5667, + "step": 613 + }, + { + "epoch": 5.63, + "learning_rate": 7.245977011494253e-05, + "loss": 1.5768, + "step": 614 + }, + { + "epoch": 5.64, + "learning_rate": 7.241379310344828e-05, + "loss": 1.4399, + "step": 615 + }, + { + "epoch": 5.65, + "learning_rate": 7.236781609195402e-05, + "loss": 2.4998, + "step": 616 + }, + { + "epoch": 5.66, + "learning_rate": 7.232183908045978e-05, + "loss": 1.7526, + "step": 617 + }, + { + "epoch": 5.67, + "learning_rate": 7.227586206896551e-05, + "loss": 1.9308, + "step": 618 + }, + { + "epoch": 5.68, + "learning_rate": 7.222988505747127e-05, + "loss": 1.7547, + "step": 619 + }, + { + "epoch": 5.69, + "learning_rate": 7.218390804597702e-05, + "loss": 1.6444, + "step": 620 + }, + { + "epoch": 5.7, + "learning_rate": 7.213793103448276e-05, + "loss": 2.5205, + "step": 621 + }, + { + "epoch": 5.71, + "learning_rate": 7.209195402298851e-05, + "loss": 2.1214, + "step": 622 + }, + { + "epoch": 5.72, + "learning_rate": 7.204597701149426e-05, + "loss": 1.6736, + "step": 623 + }, + { + "epoch": 5.72, + "learning_rate": 7.2e-05, + "loss": 2.124, + "step": 624 + }, + { + "epoch": 5.73, + "learning_rate": 7.195402298850575e-05, + "loss": 1.6465, + "step": 625 + }, + { + "epoch": 5.74, + "learning_rate": 7.19080459770115e-05, + "loss": 1.6675, + "step": 626 + }, + { + "epoch": 5.75, + "learning_rate": 7.186206896551725e-05, + "loss": 1.5444, + "step": 627 + }, + { + "epoch": 5.76, + "learning_rate": 7.181609195402299e-05, + "loss": 1.7523, + "step": 628 + }, + { + "epoch": 5.77, + "learning_rate": 7.177011494252875e-05, + "loss": 1.8066, + "step": 629 + }, + { + "epoch": 5.78, + "learning_rate": 7.172413793103448e-05, + "loss": 2.4466, + "step": 630 + }, + { + "epoch": 5.79, + "learning_rate": 7.167816091954024e-05, + "loss": 1.9425, + "step": 631 + }, + { + "epoch": 5.8, + "learning_rate": 7.163218390804599e-05, + "loss": 1.8034, + "step": 632 + }, + { + "epoch": 5.81, + "learning_rate": 7.158620689655173e-05, + "loss": 1.8462, + "step": 633 + }, + { + "epoch": 5.82, + "learning_rate": 7.154022988505748e-05, + "loss": 1.8682, + "step": 634 + }, + { + "epoch": 5.83, + "learning_rate": 7.149425287356321e-05, + "loss": 1.9159, + "step": 635 + }, + { + "epoch": 5.83, + "learning_rate": 7.144827586206897e-05, + "loss": 1.6872, + "step": 636 + }, + { + "epoch": 5.84, + "learning_rate": 7.140229885057472e-05, + "loss": 1.7738, + "step": 637 + }, + { + "epoch": 5.85, + "learning_rate": 7.135632183908046e-05, + "loss": 1.9723, + "step": 638 + }, + { + "epoch": 5.86, + "learning_rate": 7.131034482758621e-05, + "loss": 2.2087, + "step": 639 + }, + { + "epoch": 5.87, + "learning_rate": 7.126436781609196e-05, + "loss": 1.8768, + "step": 640 + }, + { + "epoch": 5.88, + "learning_rate": 7.12183908045977e-05, + "loss": 1.8112, + "step": 641 + }, + { + "epoch": 5.89, + "learning_rate": 7.117241379310345e-05, + "loss": 2.3779, + "step": 642 + }, + { + "epoch": 5.9, + "learning_rate": 7.11264367816092e-05, + "loss": 2.0054, + "step": 643 + }, + { + "epoch": 5.91, + "learning_rate": 7.108045977011496e-05, + "loss": 1.9657, + "step": 644 + }, + { + "epoch": 5.92, + "learning_rate": 7.103448275862069e-05, + "loss": 2.3031, + "step": 645 + }, + { + "epoch": 5.93, + "learning_rate": 7.098850574712645e-05, + "loss": 1.9206, + "step": 646 + }, + { + "epoch": 5.94, + "learning_rate": 7.094252873563218e-05, + "loss": 1.7756, + "step": 647 + }, + { + "epoch": 5.94, + "learning_rate": 7.089655172413794e-05, + "loss": 1.8485, + "step": 648 + }, + { + "epoch": 5.95, + "learning_rate": 7.085057471264369e-05, + "loss": 1.5212, + "step": 649 + }, + { + "epoch": 5.96, + "learning_rate": 7.080459770114943e-05, + "loss": 1.7484, + "step": 650 + }, + { + "epoch": 5.97, + "learning_rate": 7.075862068965518e-05, + "loss": 1.7096, + "step": 651 + }, + { + "epoch": 5.98, + "learning_rate": 7.071264367816093e-05, + "loss": 1.7694, + "step": 652 + }, + { + "epoch": 5.99, + "learning_rate": 7.066666666666667e-05, + "loss": 1.6475, + "step": 653 + }, + { + "epoch": 6.0, + "learning_rate": 7.06206896551724e-05, + "loss": 2.016, + "step": 654 + }, + { + "epoch": 6.0, + "eval_accuracy": 0.22560975609756098, + "eval_loss": 1.8887790441513062, + "eval_runtime": 13.7699, + "eval_samples_per_second": 11.91, + "eval_steps_per_second": 1.525, + "step": 654 + }, + { + "epoch": 6.01, + "learning_rate": 7.057471264367816e-05, + "loss": 1.5601, + "step": 655 + }, + { + "epoch": 6.02, + "learning_rate": 7.052873563218391e-05, + "loss": 2.0661, + "step": 656 + }, + { + "epoch": 6.03, + "learning_rate": 7.048275862068966e-05, + "loss": 1.8234, + "step": 657 + }, + { + "epoch": 6.04, + "learning_rate": 7.04367816091954e-05, + "loss": 1.7882, + "step": 658 + }, + { + "epoch": 6.05, + "learning_rate": 7.039080459770115e-05, + "loss": 1.9746, + "step": 659 + }, + { + "epoch": 6.06, + "learning_rate": 7.03448275862069e-05, + "loss": 1.8735, + "step": 660 + }, + { + "epoch": 6.06, + "learning_rate": 7.029885057471264e-05, + "loss": 2.1546, + "step": 661 + }, + { + "epoch": 6.07, + "learning_rate": 7.025287356321839e-05, + "loss": 1.6602, + "step": 662 + }, + { + "epoch": 6.08, + "learning_rate": 7.020689655172415e-05, + "loss": 1.5793, + "step": 663 + }, + { + "epoch": 6.09, + "learning_rate": 7.016091954022988e-05, + "loss": 2.124, + "step": 664 + }, + { + "epoch": 6.1, + "learning_rate": 7.011494252873564e-05, + "loss": 2.033, + "step": 665 + }, + { + "epoch": 6.11, + "learning_rate": 7.006896551724137e-05, + "loss": 2.2248, + "step": 666 + }, + { + "epoch": 6.12, + "learning_rate": 7.002298850574713e-05, + "loss": 1.9048, + "step": 667 + }, + { + "epoch": 6.13, + "learning_rate": 6.997701149425288e-05, + "loss": 1.9442, + "step": 668 + }, + { + "epoch": 6.14, + "learning_rate": 6.993103448275863e-05, + "loss": 1.93, + "step": 669 + }, + { + "epoch": 6.15, + "learning_rate": 6.988505747126437e-05, + "loss": 1.9111, + "step": 670 + }, + { + "epoch": 6.16, + "learning_rate": 6.983908045977012e-05, + "loss": 1.6963, + "step": 671 + }, + { + "epoch": 6.17, + "learning_rate": 6.979310344827587e-05, + "loss": 2.0454, + "step": 672 + }, + { + "epoch": 6.17, + "learning_rate": 6.974712643678161e-05, + "loss": 1.8958, + "step": 673 + }, + { + "epoch": 6.18, + "learning_rate": 6.970114942528736e-05, + "loss": 1.7178, + "step": 674 + }, + { + "epoch": 6.19, + "learning_rate": 6.96551724137931e-05, + "loss": 1.6203, + "step": 675 + }, + { + "epoch": 6.2, + "learning_rate": 6.960919540229885e-05, + "loss": 1.707, + "step": 676 + }, + { + "epoch": 6.21, + "learning_rate": 6.95632183908046e-05, + "loss": 2.0311, + "step": 677 + }, + { + "epoch": 6.22, + "learning_rate": 6.951724137931034e-05, + "loss": 2.6637, + "step": 678 + }, + { + "epoch": 6.23, + "learning_rate": 6.947126436781609e-05, + "loss": 1.4525, + "step": 679 + }, + { + "epoch": 6.24, + "learning_rate": 6.942528735632185e-05, + "loss": 1.7622, + "step": 680 + }, + { + "epoch": 6.25, + "learning_rate": 6.937931034482758e-05, + "loss": 1.8638, + "step": 681 + }, + { + "epoch": 6.26, + "learning_rate": 6.933333333333334e-05, + "loss": 1.6286, + "step": 682 + }, + { + "epoch": 6.27, + "learning_rate": 6.928735632183908e-05, + "loss": 1.9795, + "step": 683 + }, + { + "epoch": 6.28, + "learning_rate": 6.924137931034484e-05, + "loss": 1.7845, + "step": 684 + }, + { + "epoch": 6.28, + "learning_rate": 6.919540229885058e-05, + "loss": 1.8701, + "step": 685 + }, + { + "epoch": 6.29, + "learning_rate": 6.914942528735633e-05, + "loss": 1.7396, + "step": 686 + }, + { + "epoch": 6.3, + "learning_rate": 6.910344827586207e-05, + "loss": 1.5553, + "step": 687 + }, + { + "epoch": 6.31, + "learning_rate": 6.905747126436782e-05, + "loss": 1.6608, + "step": 688 + }, + { + "epoch": 6.32, + "learning_rate": 6.901149425287357e-05, + "loss": 1.5757, + "step": 689 + }, + { + "epoch": 6.33, + "learning_rate": 6.896551724137931e-05, + "loss": 2.6255, + "step": 690 + }, + { + "epoch": 6.34, + "learning_rate": 6.891954022988506e-05, + "loss": 1.9033, + "step": 691 + }, + { + "epoch": 6.35, + "learning_rate": 6.887356321839082e-05, + "loss": 2.0218, + "step": 692 + }, + { + "epoch": 6.36, + "learning_rate": 6.882758620689655e-05, + "loss": 2.0052, + "step": 693 + }, + { + "epoch": 6.37, + "learning_rate": 6.87816091954023e-05, + "loss": 1.8732, + "step": 694 + }, + { + "epoch": 6.38, + "learning_rate": 6.873563218390804e-05, + "loss": 1.5153, + "step": 695 + }, + { + "epoch": 6.39, + "learning_rate": 6.868965517241379e-05, + "loss": 1.7554, + "step": 696 + }, + { + "epoch": 6.39, + "learning_rate": 6.864367816091955e-05, + "loss": 2.006, + "step": 697 + }, + { + "epoch": 6.4, + "learning_rate": 6.859770114942528e-05, + "loss": 1.8607, + "step": 698 + }, + { + "epoch": 6.41, + "learning_rate": 6.855172413793104e-05, + "loss": 1.6597, + "step": 699 + }, + { + "epoch": 6.42, + "learning_rate": 6.850574712643678e-05, + "loss": 1.6479, + "step": 700 + }, + { + "epoch": 6.43, + "learning_rate": 6.845977011494254e-05, + "loss": 2.8652, + "step": 701 + }, + { + "epoch": 6.44, + "learning_rate": 6.841379310344828e-05, + "loss": 2.1702, + "step": 702 + }, + { + "epoch": 6.45, + "learning_rate": 6.836781609195403e-05, + "loss": 1.533, + "step": 703 + }, + { + "epoch": 6.46, + "learning_rate": 6.832183908045978e-05, + "loss": 1.6243, + "step": 704 + }, + { + "epoch": 6.47, + "learning_rate": 6.827586206896552e-05, + "loss": 2.1925, + "step": 705 + }, + { + "epoch": 6.48, + "learning_rate": 6.822988505747127e-05, + "loss": 1.89, + "step": 706 + }, + { + "epoch": 6.49, + "learning_rate": 6.818390804597701e-05, + "loss": 2.5444, + "step": 707 + }, + { + "epoch": 6.5, + "learning_rate": 6.813793103448276e-05, + "loss": 1.6346, + "step": 708 + }, + { + "epoch": 6.5, + "learning_rate": 6.809195402298851e-05, + "loss": 1.7669, + "step": 709 + }, + { + "epoch": 6.51, + "learning_rate": 6.804597701149425e-05, + "loss": 1.8022, + "step": 710 + }, + { + "epoch": 6.52, + "learning_rate": 6.800000000000001e-05, + "loss": 2.0021, + "step": 711 + }, + { + "epoch": 6.53, + "learning_rate": 6.795402298850575e-05, + "loss": 1.5726, + "step": 712 + }, + { + "epoch": 6.54, + "learning_rate": 6.79080459770115e-05, + "loss": 1.9782, + "step": 713 + }, + { + "epoch": 6.55, + "learning_rate": 6.786206896551724e-05, + "loss": 1.6034, + "step": 714 + }, + { + "epoch": 6.56, + "learning_rate": 6.781609195402298e-05, + "loss": 1.6787, + "step": 715 + }, + { + "epoch": 6.57, + "learning_rate": 6.777011494252874e-05, + "loss": 1.9569, + "step": 716 + }, + { + "epoch": 6.58, + "learning_rate": 6.772413793103448e-05, + "loss": 2.4325, + "step": 717 + }, + { + "epoch": 6.59, + "learning_rate": 6.767816091954024e-05, + "loss": 1.7354, + "step": 718 + }, + { + "epoch": 6.6, + "learning_rate": 6.763218390804597e-05, + "loss": 1.5884, + "step": 719 + }, + { + "epoch": 6.61, + "learning_rate": 6.758620689655173e-05, + "loss": 1.5739, + "step": 720 + }, + { + "epoch": 6.61, + "learning_rate": 6.754022988505748e-05, + "loss": 1.6934, + "step": 721 + }, + { + "epoch": 6.62, + "learning_rate": 6.749425287356322e-05, + "loss": 1.6077, + "step": 722 + }, + { + "epoch": 6.63, + "learning_rate": 6.744827586206897e-05, + "loss": 1.7529, + "step": 723 + }, + { + "epoch": 6.64, + "learning_rate": 6.740229885057472e-05, + "loss": 1.7295, + "step": 724 + }, + { + "epoch": 6.65, + "learning_rate": 6.735632183908046e-05, + "loss": 1.8527, + "step": 725 + }, + { + "epoch": 6.66, + "learning_rate": 6.731034482758621e-05, + "loss": 1.625, + "step": 726 + }, + { + "epoch": 6.67, + "learning_rate": 6.726436781609195e-05, + "loss": 1.5915, + "step": 727 + }, + { + "epoch": 6.68, + "learning_rate": 6.721839080459771e-05, + "loss": 1.8542, + "step": 728 + }, + { + "epoch": 6.69, + "learning_rate": 6.717241379310345e-05, + "loss": 1.6406, + "step": 729 + }, + { + "epoch": 6.7, + "learning_rate": 6.71264367816092e-05, + "loss": 1.7165, + "step": 730 + }, + { + "epoch": 6.71, + "learning_rate": 6.708045977011494e-05, + "loss": 1.7225, + "step": 731 + }, + { + "epoch": 6.72, + "learning_rate": 6.70344827586207e-05, + "loss": 1.7093, + "step": 732 + }, + { + "epoch": 6.72, + "learning_rate": 6.698850574712645e-05, + "loss": 2.6672, + "step": 733 + }, + { + "epoch": 6.73, + "learning_rate": 6.694252873563218e-05, + "loss": 2.3314, + "step": 734 + }, + { + "epoch": 6.74, + "learning_rate": 6.689655172413794e-05, + "loss": 2.0335, + "step": 735 + }, + { + "epoch": 6.75, + "learning_rate": 6.685057471264367e-05, + "loss": 2.0239, + "step": 736 + }, + { + "epoch": 6.76, + "learning_rate": 6.680459770114943e-05, + "loss": 1.7988, + "step": 737 + }, + { + "epoch": 6.77, + "learning_rate": 6.675862068965518e-05, + "loss": 1.6471, + "step": 738 + }, + { + "epoch": 6.78, + "learning_rate": 6.671264367816092e-05, + "loss": 1.59, + "step": 739 + }, + { + "epoch": 6.79, + "learning_rate": 6.666666666666667e-05, + "loss": 2.0796, + "step": 740 + }, + { + "epoch": 6.8, + "learning_rate": 6.662068965517242e-05, + "loss": 1.6006, + "step": 741 + }, + { + "epoch": 6.81, + "learning_rate": 6.657471264367816e-05, + "loss": 2.0755, + "step": 742 + }, + { + "epoch": 6.82, + "learning_rate": 6.652873563218391e-05, + "loss": 1.4642, + "step": 743 + }, + { + "epoch": 6.83, + "learning_rate": 6.648275862068966e-05, + "loss": 1.4842, + "step": 744 + }, + { + "epoch": 6.83, + "learning_rate": 6.643678160919542e-05, + "loss": 1.4954, + "step": 745 + }, + { + "epoch": 6.84, + "learning_rate": 6.639080459770115e-05, + "loss": 1.6323, + "step": 746 + }, + { + "epoch": 6.85, + "learning_rate": 6.634482758620691e-05, + "loss": 2.0827, + "step": 747 + }, + { + "epoch": 6.86, + "learning_rate": 6.629885057471264e-05, + "loss": 1.6825, + "step": 748 + }, + { + "epoch": 6.87, + "learning_rate": 6.62528735632184e-05, + "loss": 2.3032, + "step": 749 + }, + { + "epoch": 6.88, + "learning_rate": 6.620689655172415e-05, + "loss": 2.332, + "step": 750 + }, + { + "epoch": 6.89, + "learning_rate": 6.616091954022989e-05, + "loss": 1.4476, + "step": 751 + }, + { + "epoch": 6.9, + "learning_rate": 6.611494252873564e-05, + "loss": 1.7376, + "step": 752 + }, + { + "epoch": 6.91, + "learning_rate": 6.606896551724139e-05, + "loss": 2.4022, + "step": 753 + }, + { + "epoch": 6.92, + "learning_rate": 6.602298850574713e-05, + "loss": 1.8208, + "step": 754 + }, + { + "epoch": 6.93, + "learning_rate": 6.597701149425288e-05, + "loss": 2.1134, + "step": 755 + }, + { + "epoch": 6.94, + "learning_rate": 6.593103448275862e-05, + "loss": 1.8843, + "step": 756 + }, + { + "epoch": 6.94, + "learning_rate": 6.588505747126437e-05, + "loss": 1.7562, + "step": 757 + }, + { + "epoch": 6.95, + "learning_rate": 6.583908045977012e-05, + "loss": 2.5618, + "step": 758 + }, + { + "epoch": 6.96, + "learning_rate": 6.579310344827586e-05, + "loss": 1.6574, + "step": 759 + }, + { + "epoch": 6.97, + "learning_rate": 6.574712643678161e-05, + "loss": 1.4478, + "step": 760 + }, + { + "epoch": 6.98, + "learning_rate": 6.570114942528736e-05, + "loss": 1.756, + "step": 761 + }, + { + "epoch": 6.99, + "learning_rate": 6.56551724137931e-05, + "loss": 1.5016, + "step": 762 + }, + { + "epoch": 7.0, + "learning_rate": 6.560919540229885e-05, + "loss": 1.625, + "step": 763 + }, + { + "epoch": 7.0, + "eval_accuracy": 0.17682926829268292, + "eval_loss": 1.9067740440368652, + "eval_runtime": 13.7816, + "eval_samples_per_second": 11.9, + "eval_steps_per_second": 1.524, + "step": 763 + }, + { + "epoch": 7.01, + "learning_rate": 6.556321839080461e-05, + "loss": 1.681, + "step": 764 + }, + { + "epoch": 7.02, + "learning_rate": 6.551724137931034e-05, + "loss": 2.0745, + "step": 765 + }, + { + "epoch": 7.03, + "learning_rate": 6.54712643678161e-05, + "loss": 2.0957, + "step": 766 + }, + { + "epoch": 7.04, + "learning_rate": 6.542528735632183e-05, + "loss": 1.736, + "step": 767 + }, + { + "epoch": 7.05, + "learning_rate": 6.53793103448276e-05, + "loss": 1.8683, + "step": 768 + }, + { + "epoch": 7.06, + "learning_rate": 6.533333333333334e-05, + "loss": 1.7137, + "step": 769 + }, + { + "epoch": 7.06, + "learning_rate": 6.528735632183909e-05, + "loss": 1.3867, + "step": 770 + }, + { + "epoch": 7.07, + "learning_rate": 6.524137931034483e-05, + "loss": 1.8883, + "step": 771 + }, + { + "epoch": 7.08, + "learning_rate": 6.519540229885058e-05, + "loss": 1.863, + "step": 772 + }, + { + "epoch": 7.09, + "learning_rate": 6.514942528735633e-05, + "loss": 1.5835, + "step": 773 + }, + { + "epoch": 7.1, + "learning_rate": 6.510344827586207e-05, + "loss": 1.3963, + "step": 774 + }, + { + "epoch": 7.11, + "learning_rate": 6.505747126436782e-05, + "loss": 1.9046, + "step": 775 + }, + { + "epoch": 7.12, + "learning_rate": 6.501149425287356e-05, + "loss": 2.1147, + "step": 776 + }, + { + "epoch": 7.13, + "learning_rate": 6.496551724137931e-05, + "loss": 1.6136, + "step": 777 + }, + { + "epoch": 7.14, + "learning_rate": 6.491954022988506e-05, + "loss": 1.9569, + "step": 778 + }, + { + "epoch": 7.15, + "learning_rate": 6.48735632183908e-05, + "loss": 1.7619, + "step": 779 + }, + { + "epoch": 7.16, + "learning_rate": 6.482758620689655e-05, + "loss": 1.9777, + "step": 780 + }, + { + "epoch": 7.17, + "learning_rate": 6.478160919540231e-05, + "loss": 1.8252, + "step": 781 + }, + { + "epoch": 7.17, + "learning_rate": 6.473563218390804e-05, + "loss": 2.1406, + "step": 782 + }, + { + "epoch": 7.18, + "learning_rate": 6.46896551724138e-05, + "loss": 1.6481, + "step": 783 + }, + { + "epoch": 7.19, + "learning_rate": 6.464367816091954e-05, + "loss": 1.8084, + "step": 784 + }, + { + "epoch": 7.2, + "learning_rate": 6.45977011494253e-05, + "loss": 2.0542, + "step": 785 + }, + { + "epoch": 7.21, + "learning_rate": 6.455172413793104e-05, + "loss": 1.9229, + "step": 786 + }, + { + "epoch": 7.22, + "learning_rate": 6.450574712643679e-05, + "loss": 1.7456, + "step": 787 + }, + { + "epoch": 7.23, + "learning_rate": 6.445977011494253e-05, + "loss": 1.7352, + "step": 788 + }, + { + "epoch": 7.24, + "learning_rate": 6.441379310344828e-05, + "loss": 2.5968, + "step": 789 + }, + { + "epoch": 7.25, + "learning_rate": 6.436781609195403e-05, + "loss": 1.9098, + "step": 790 + }, + { + "epoch": 7.26, + "learning_rate": 6.432183908045977e-05, + "loss": 1.6266, + "step": 791 + }, + { + "epoch": 7.27, + "learning_rate": 6.427586206896552e-05, + "loss": 1.8179, + "step": 792 + }, + { + "epoch": 7.28, + "learning_rate": 6.422988505747128e-05, + "loss": 1.5225, + "step": 793 + }, + { + "epoch": 7.28, + "learning_rate": 6.418390804597701e-05, + "loss": 2.2358, + "step": 794 + }, + { + "epoch": 7.29, + "learning_rate": 6.413793103448276e-05, + "loss": 1.6493, + "step": 795 + }, + { + "epoch": 7.3, + "learning_rate": 6.40919540229885e-05, + "loss": 2.4172, + "step": 796 + }, + { + "epoch": 7.31, + "learning_rate": 6.404597701149425e-05, + "loss": 1.4154, + "step": 797 + }, + { + "epoch": 7.32, + "learning_rate": 6.400000000000001e-05, + "loss": 1.7445, + "step": 798 + }, + { + "epoch": 7.33, + "learning_rate": 6.395402298850574e-05, + "loss": 1.8722, + "step": 799 + }, + { + "epoch": 7.34, + "learning_rate": 6.39080459770115e-05, + "loss": 1.5848, + "step": 800 + }, + { + "epoch": 7.35, + "learning_rate": 6.386206896551724e-05, + "loss": 1.4268, + "step": 801 + }, + { + "epoch": 7.36, + "learning_rate": 6.3816091954023e-05, + "loss": 1.7007, + "step": 802 + }, + { + "epoch": 7.37, + "learning_rate": 6.377011494252874e-05, + "loss": 1.9852, + "step": 803 + }, + { + "epoch": 7.38, + "learning_rate": 6.372413793103449e-05, + "loss": 1.6433, + "step": 804 + }, + { + "epoch": 7.39, + "learning_rate": 6.367816091954023e-05, + "loss": 1.5815, + "step": 805 + }, + { + "epoch": 7.39, + "learning_rate": 6.363218390804598e-05, + "loss": 1.6621, + "step": 806 + }, + { + "epoch": 7.4, + "learning_rate": 6.358620689655173e-05, + "loss": 1.6776, + "step": 807 + }, + { + "epoch": 7.41, + "learning_rate": 6.354022988505747e-05, + "loss": 1.7482, + "step": 808 + }, + { + "epoch": 7.42, + "learning_rate": 6.349425287356322e-05, + "loss": 1.7687, + "step": 809 + }, + { + "epoch": 7.43, + "learning_rate": 6.344827586206897e-05, + "loss": 1.5576, + "step": 810 + }, + { + "epoch": 7.44, + "learning_rate": 6.340229885057471e-05, + "loss": 2.1086, + "step": 811 + }, + { + "epoch": 7.45, + "learning_rate": 6.335632183908047e-05, + "loss": 2.5109, + "step": 812 + }, + { + "epoch": 7.46, + "learning_rate": 6.33103448275862e-05, + "loss": 2.0659, + "step": 813 + }, + { + "epoch": 7.47, + "learning_rate": 6.326436781609195e-05, + "loss": 1.4474, + "step": 814 + }, + { + "epoch": 7.48, + "learning_rate": 6.32183908045977e-05, + "loss": 2.2822, + "step": 815 + }, + { + "epoch": 7.49, + "learning_rate": 6.317241379310344e-05, + "loss": 1.7428, + "step": 816 + }, + { + "epoch": 7.5, + "learning_rate": 6.31264367816092e-05, + "loss": 1.7007, + "step": 817 + }, + { + "epoch": 7.5, + "learning_rate": 6.308045977011494e-05, + "loss": 1.8874, + "step": 818 + }, + { + "epoch": 7.51, + "learning_rate": 6.30344827586207e-05, + "loss": 2.1263, + "step": 819 + }, + { + "epoch": 7.52, + "learning_rate": 6.298850574712643e-05, + "loss": 1.4705, + "step": 820 + }, + { + "epoch": 7.53, + "learning_rate": 6.294252873563219e-05, + "loss": 1.6245, + "step": 821 + }, + { + "epoch": 7.54, + "learning_rate": 6.289655172413794e-05, + "loss": 2.3783, + "step": 822 + }, + { + "epoch": 7.55, + "learning_rate": 6.285057471264368e-05, + "loss": 1.8276, + "step": 823 + }, + { + "epoch": 7.56, + "learning_rate": 6.280459770114943e-05, + "loss": 2.0007, + "step": 824 + }, + { + "epoch": 7.57, + "learning_rate": 6.275862068965517e-05, + "loss": 1.6224, + "step": 825 + }, + { + "epoch": 7.58, + "learning_rate": 6.271264367816092e-05, + "loss": 2.0405, + "step": 826 + }, + { + "epoch": 7.59, + "learning_rate": 6.266666666666667e-05, + "loss": 2.4634, + "step": 827 + }, + { + "epoch": 7.6, + "learning_rate": 6.262068965517241e-05, + "loss": 1.7811, + "step": 828 + }, + { + "epoch": 7.61, + "learning_rate": 6.257471264367817e-05, + "loss": 1.4993, + "step": 829 + }, + { + "epoch": 7.61, + "learning_rate": 6.25287356321839e-05, + "loss": 1.8398, + "step": 830 + }, + { + "epoch": 7.62, + "learning_rate": 6.248275862068967e-05, + "loss": 1.6232, + "step": 831 + }, + { + "epoch": 7.63, + "learning_rate": 6.24367816091954e-05, + "loss": 2.1147, + "step": 832 + }, + { + "epoch": 7.64, + "learning_rate": 6.239080459770116e-05, + "loss": 2.4437, + "step": 833 + }, + { + "epoch": 7.65, + "learning_rate": 6.23448275862069e-05, + "loss": 2.0591, + "step": 834 + }, + { + "epoch": 7.66, + "learning_rate": 6.229885057471264e-05, + "loss": 1.5824, + "step": 835 + }, + { + "epoch": 7.67, + "learning_rate": 6.22528735632184e-05, + "loss": 1.6925, + "step": 836 + }, + { + "epoch": 7.68, + "learning_rate": 6.220689655172413e-05, + "loss": 1.8022, + "step": 837 + }, + { + "epoch": 7.69, + "learning_rate": 6.216091954022989e-05, + "loss": 1.8923, + "step": 838 + }, + { + "epoch": 7.7, + "learning_rate": 6.211494252873564e-05, + "loss": 1.6699, + "step": 839 + }, + { + "epoch": 7.71, + "learning_rate": 6.206896551724138e-05, + "loss": 1.6175, + "step": 840 + }, + { + "epoch": 7.72, + "learning_rate": 6.202298850574713e-05, + "loss": 1.6865, + "step": 841 + }, + { + "epoch": 7.72, + "learning_rate": 6.197701149425288e-05, + "loss": 2.064, + "step": 842 + }, + { + "epoch": 7.73, + "learning_rate": 6.193103448275862e-05, + "loss": 1.7609, + "step": 843 + }, + { + "epoch": 7.74, + "learning_rate": 6.188505747126437e-05, + "loss": 1.6167, + "step": 844 + }, + { + "epoch": 7.75, + "learning_rate": 6.183908045977011e-05, + "loss": 2.0716, + "step": 845 + }, + { + "epoch": 7.76, + "learning_rate": 6.179310344827587e-05, + "loss": 1.6818, + "step": 846 + }, + { + "epoch": 7.77, + "learning_rate": 6.174712643678161e-05, + "loss": 1.6444, + "step": 847 + }, + { + "epoch": 7.78, + "learning_rate": 6.170114942528737e-05, + "loss": 1.6883, + "step": 848 + }, + { + "epoch": 7.79, + "learning_rate": 6.16551724137931e-05, + "loss": 1.5643, + "step": 849 + }, + { + "epoch": 7.8, + "learning_rate": 6.160919540229886e-05, + "loss": 1.9596, + "step": 850 + }, + { + "epoch": 7.81, + "learning_rate": 6.15632183908046e-05, + "loss": 1.8804, + "step": 851 + }, + { + "epoch": 7.82, + "learning_rate": 6.151724137931035e-05, + "loss": 2.422, + "step": 852 + }, + { + "epoch": 7.83, + "learning_rate": 6.14712643678161e-05, + "loss": 1.6704, + "step": 853 + }, + { + "epoch": 7.83, + "learning_rate": 6.142528735632183e-05, + "loss": 2.1497, + "step": 854 + }, + { + "epoch": 7.84, + "learning_rate": 6.137931034482759e-05, + "loss": 2.028, + "step": 855 + }, + { + "epoch": 7.85, + "learning_rate": 6.133333333333334e-05, + "loss": 1.652, + "step": 856 + }, + { + "epoch": 7.86, + "learning_rate": 6.128735632183908e-05, + "loss": 2.2965, + "step": 857 + }, + { + "epoch": 7.87, + "learning_rate": 6.124137931034483e-05, + "loss": 2.4193, + "step": 858 + }, + { + "epoch": 7.88, + "learning_rate": 6.119540229885058e-05, + "loss": 1.9907, + "step": 859 + }, + { + "epoch": 7.89, + "learning_rate": 6.114942528735632e-05, + "loss": 1.6479, + "step": 860 + }, + { + "epoch": 7.9, + "learning_rate": 6.110344827586207e-05, + "loss": 1.7487, + "step": 861 + }, + { + "epoch": 7.91, + "learning_rate": 6.105747126436782e-05, + "loss": 2.3571, + "step": 862 + }, + { + "epoch": 7.92, + "learning_rate": 6.101149425287357e-05, + "loss": 2.0465, + "step": 863 + }, + { + "epoch": 7.93, + "learning_rate": 6.096551724137931e-05, + "loss": 1.6825, + "step": 864 + }, + { + "epoch": 7.94, + "learning_rate": 6.091954022988506e-05, + "loss": 1.8114, + "step": 865 + }, + { + "epoch": 7.94, + "learning_rate": 6.087356321839081e-05, + "loss": 1.8555, + "step": 866 + }, + { + "epoch": 7.95, + "learning_rate": 6.082758620689656e-05, + "loss": 1.7729, + "step": 867 + }, + { + "epoch": 7.96, + "learning_rate": 6.07816091954023e-05, + "loss": 1.8009, + "step": 868 + }, + { + "epoch": 7.97, + "learning_rate": 6.0735632183908054e-05, + "loss": 1.8859, + "step": 869 + }, + { + "epoch": 7.98, + "learning_rate": 6.068965517241379e-05, + "loss": 2.0726, + "step": 870 + }, + { + "epoch": 7.99, + "learning_rate": 6.0643678160919546e-05, + "loss": 1.6642, + "step": 871 + }, + { + "epoch": 8.0, + "learning_rate": 6.059770114942529e-05, + "loss": 2.0002, + "step": 872 + }, + { + "epoch": 8.0, + "eval_accuracy": 0.1951219512195122, + "eval_loss": 1.8909108638763428, + "eval_runtime": 13.8035, + "eval_samples_per_second": 11.881, + "eval_steps_per_second": 1.521, + "step": 872 + }, + { + "epoch": 8.01, + "learning_rate": 6.0551724137931046e-05, + "loss": 1.6178, + "step": 873 + }, + { + "epoch": 8.02, + "learning_rate": 6.0505747126436785e-05, + "loss": 1.6294, + "step": 874 + }, + { + "epoch": 8.03, + "learning_rate": 6.0459770114942525e-05, + "loss": 1.972, + "step": 875 + }, + { + "epoch": 8.04, + "learning_rate": 6.041379310344828e-05, + "loss": 1.7635, + "step": 876 + }, + { + "epoch": 8.05, + "learning_rate": 6.0367816091954024e-05, + "loss": 1.756, + "step": 877 + }, + { + "epoch": 8.06, + "learning_rate": 6.032183908045978e-05, + "loss": 1.5892, + "step": 878 + }, + { + "epoch": 8.06, + "learning_rate": 6.027586206896552e-05, + "loss": 1.6401, + "step": 879 + }, + { + "epoch": 8.07, + "learning_rate": 6.022988505747127e-05, + "loss": 1.7856, + "step": 880 + }, + { + "epoch": 8.08, + "learning_rate": 6.018390804597701e-05, + "loss": 1.4993, + "step": 881 + }, + { + "epoch": 8.09, + "learning_rate": 6.013793103448276e-05, + "loss": 1.5705, + "step": 882 + }, + { + "epoch": 8.1, + "learning_rate": 6.009195402298851e-05, + "loss": 2.0047, + "step": 883 + }, + { + "epoch": 8.11, + "learning_rate": 6.004597701149426e-05, + "loss": 1.7207, + "step": 884 + }, + { + "epoch": 8.12, + "learning_rate": 6e-05, + "loss": 1.9867, + "step": 885 + }, + { + "epoch": 8.13, + "learning_rate": 5.9954022988505755e-05, + "loss": 2.202, + "step": 886 + }, + { + "epoch": 8.14, + "learning_rate": 5.9908045977011494e-05, + "loss": 1.8605, + "step": 887 + }, + { + "epoch": 8.15, + "learning_rate": 5.986206896551725e-05, + "loss": 2.2139, + "step": 888 + }, + { + "epoch": 8.16, + "learning_rate": 5.9816091954022994e-05, + "loss": 1.8851, + "step": 889 + }, + { + "epoch": 8.17, + "learning_rate": 5.977011494252874e-05, + "loss": 1.6016, + "step": 890 + }, + { + "epoch": 8.17, + "learning_rate": 5.9724137931034486e-05, + "loss": 1.5799, + "step": 891 + }, + { + "epoch": 8.18, + "learning_rate": 5.967816091954024e-05, + "loss": 1.5456, + "step": 892 + }, + { + "epoch": 8.19, + "learning_rate": 5.963218390804598e-05, + "loss": 2.1439, + "step": 893 + }, + { + "epoch": 8.2, + "learning_rate": 5.958620689655172e-05, + "loss": 1.8843, + "step": 894 + }, + { + "epoch": 8.21, + "learning_rate": 5.954022988505747e-05, + "loss": 1.8838, + "step": 895 + }, + { + "epoch": 8.22, + "learning_rate": 5.949425287356322e-05, + "loss": 2.6497, + "step": 896 + }, + { + "epoch": 8.23, + "learning_rate": 5.944827586206897e-05, + "loss": 1.9233, + "step": 897 + }, + { + "epoch": 8.24, + "learning_rate": 5.940229885057471e-05, + "loss": 1.8294, + "step": 898 + }, + { + "epoch": 8.25, + "learning_rate": 5.9356321839080464e-05, + "loss": 1.8224, + "step": 899 + }, + { + "epoch": 8.26, + "learning_rate": 5.93103448275862e-05, + "loss": 1.8685, + "step": 900 + }, + { + "epoch": 8.27, + "learning_rate": 5.9264367816091956e-05, + "loss": 1.7674, + "step": 901 + }, + { + "epoch": 8.28, + "learning_rate": 5.92183908045977e-05, + "loss": 1.6688, + "step": 902 + }, + { + "epoch": 8.28, + "learning_rate": 5.9172413793103456e-05, + "loss": 1.4915, + "step": 903 + }, + { + "epoch": 8.29, + "learning_rate": 5.9126436781609195e-05, + "loss": 1.7163, + "step": 904 + }, + { + "epoch": 8.3, + "learning_rate": 5.908045977011495e-05, + "loss": 1.6834, + "step": 905 + }, + { + "epoch": 8.31, + "learning_rate": 5.903448275862069e-05, + "loss": 1.9749, + "step": 906 + }, + { + "epoch": 8.32, + "learning_rate": 5.898850574712644e-05, + "loss": 1.8823, + "step": 907 + }, + { + "epoch": 8.33, + "learning_rate": 5.894252873563219e-05, + "loss": 2.2928, + "step": 908 + }, + { + "epoch": 8.34, + "learning_rate": 5.889655172413794e-05, + "loss": 2.4523, + "step": 909 + }, + { + "epoch": 8.35, + "learning_rate": 5.885057471264368e-05, + "loss": 1.71, + "step": 910 + }, + { + "epoch": 8.36, + "learning_rate": 5.880459770114943e-05, + "loss": 2.1211, + "step": 911 + }, + { + "epoch": 8.37, + "learning_rate": 5.875862068965517e-05, + "loss": 1.7277, + "step": 912 + }, + { + "epoch": 8.38, + "learning_rate": 5.871264367816092e-05, + "loss": 1.5869, + "step": 913 + }, + { + "epoch": 8.39, + "learning_rate": 5.866666666666667e-05, + "loss": 1.9443, + "step": 914 + }, + { + "epoch": 8.39, + "learning_rate": 5.862068965517241e-05, + "loss": 1.6956, + "step": 915 + }, + { + "epoch": 8.4, + "learning_rate": 5.8574712643678165e-05, + "loss": 1.6989, + "step": 916 + }, + { + "epoch": 8.41, + "learning_rate": 5.8528735632183904e-05, + "loss": 1.62, + "step": 917 + }, + { + "epoch": 8.42, + "learning_rate": 5.848275862068966e-05, + "loss": 1.5386, + "step": 918 + }, + { + "epoch": 8.43, + "learning_rate": 5.8436781609195404e-05, + "loss": 2.2, + "step": 919 + }, + { + "epoch": 8.44, + "learning_rate": 5.839080459770116e-05, + "loss": 1.6717, + "step": 920 + }, + { + "epoch": 8.45, + "learning_rate": 5.8344827586206896e-05, + "loss": 1.9118, + "step": 921 + }, + { + "epoch": 8.46, + "learning_rate": 5.829885057471265e-05, + "loss": 1.7552, + "step": 922 + }, + { + "epoch": 8.47, + "learning_rate": 5.825287356321839e-05, + "loss": 2.0762, + "step": 923 + }, + { + "epoch": 8.48, + "learning_rate": 5.820689655172414e-05, + "loss": 1.9935, + "step": 924 + }, + { + "epoch": 8.49, + "learning_rate": 5.816091954022989e-05, + "loss": 1.9007, + "step": 925 + }, + { + "epoch": 8.5, + "learning_rate": 5.811494252873564e-05, + "loss": 2.12, + "step": 926 + }, + { + "epoch": 8.5, + "learning_rate": 5.806896551724138e-05, + "loss": 2.741, + "step": 927 + }, + { + "epoch": 8.51, + "learning_rate": 5.8022988505747134e-05, + "loss": 1.7995, + "step": 928 + }, + { + "epoch": 8.52, + "learning_rate": 5.7977011494252874e-05, + "loss": 1.7904, + "step": 929 + }, + { + "epoch": 8.53, + "learning_rate": 5.7931034482758627e-05, + "loss": 2.2375, + "step": 930 + }, + { + "epoch": 8.54, + "learning_rate": 5.788505747126437e-05, + "loss": 1.8127, + "step": 931 + }, + { + "epoch": 8.55, + "learning_rate": 5.7839080459770126e-05, + "loss": 1.95, + "step": 932 + }, + { + "epoch": 8.56, + "learning_rate": 5.7793103448275866e-05, + "loss": 1.8459, + "step": 933 + }, + { + "epoch": 8.57, + "learning_rate": 5.7747126436781605e-05, + "loss": 1.6375, + "step": 934 + }, + { + "epoch": 8.58, + "learning_rate": 5.770114942528736e-05, + "loss": 2.4199, + "step": 935 + }, + { + "epoch": 8.59, + "learning_rate": 5.7655172413793105e-05, + "loss": 1.7728, + "step": 936 + }, + { + "epoch": 8.6, + "learning_rate": 5.760919540229886e-05, + "loss": 1.8201, + "step": 937 + }, + { + "epoch": 8.61, + "learning_rate": 5.75632183908046e-05, + "loss": 1.6937, + "step": 938 + }, + { + "epoch": 8.61, + "learning_rate": 5.751724137931035e-05, + "loss": 1.6769, + "step": 939 + }, + { + "epoch": 8.62, + "learning_rate": 5.747126436781609e-05, + "loss": 1.5275, + "step": 940 + }, + { + "epoch": 8.63, + "learning_rate": 5.742528735632184e-05, + "loss": 1.6706, + "step": 941 + }, + { + "epoch": 8.64, + "learning_rate": 5.737931034482759e-05, + "loss": 2.318, + "step": 942 + }, + { + "epoch": 8.65, + "learning_rate": 5.7333333333333336e-05, + "loss": 1.7674, + "step": 943 + }, + { + "epoch": 8.66, + "learning_rate": 5.728735632183908e-05, + "loss": 2.2681, + "step": 944 + }, + { + "epoch": 8.67, + "learning_rate": 5.7241379310344835e-05, + "loss": 1.7778, + "step": 945 + }, + { + "epoch": 8.68, + "learning_rate": 5.7195402298850575e-05, + "loss": 2.0973, + "step": 946 + }, + { + "epoch": 8.69, + "learning_rate": 5.714942528735633e-05, + "loss": 1.4997, + "step": 947 + }, + { + "epoch": 8.7, + "learning_rate": 5.710344827586207e-05, + "loss": 2.0493, + "step": 948 + }, + { + "epoch": 8.71, + "learning_rate": 5.705747126436782e-05, + "loss": 1.7192, + "step": 949 + }, + { + "epoch": 8.72, + "learning_rate": 5.7011494252873567e-05, + "loss": 1.8639, + "step": 950 + }, + { + "epoch": 8.72, + "learning_rate": 5.696551724137932e-05, + "loss": 1.7383, + "step": 951 + }, + { + "epoch": 8.73, + "learning_rate": 5.691954022988506e-05, + "loss": 1.6157, + "step": 952 + }, + { + "epoch": 8.74, + "learning_rate": 5.68735632183908e-05, + "loss": 1.9453, + "step": 953 + }, + { + "epoch": 8.75, + "learning_rate": 5.682758620689655e-05, + "loss": 2.1405, + "step": 954 + }, + { + "epoch": 8.76, + "learning_rate": 5.67816091954023e-05, + "loss": 2.4316, + "step": 955 + }, + { + "epoch": 8.77, + "learning_rate": 5.673563218390805e-05, + "loss": 1.9035, + "step": 956 + }, + { + "epoch": 8.78, + "learning_rate": 5.668965517241379e-05, + "loss": 1.5785, + "step": 957 + }, + { + "epoch": 8.79, + "learning_rate": 5.6643678160919544e-05, + "loss": 2.3794, + "step": 958 + }, + { + "epoch": 8.8, + "learning_rate": 5.6597701149425283e-05, + "loss": 1.9325, + "step": 959 + }, + { + "epoch": 8.81, + "learning_rate": 5.6551724137931037e-05, + "loss": 2.1016, + "step": 960 + }, + { + "epoch": 8.82, + "learning_rate": 5.650574712643678e-05, + "loss": 1.6899, + "step": 961 + }, + { + "epoch": 8.83, + "learning_rate": 5.6459770114942536e-05, + "loss": 2.4627, + "step": 962 + }, + { + "epoch": 8.83, + "learning_rate": 5.6413793103448275e-05, + "loss": 1.6683, + "step": 963 + }, + { + "epoch": 8.84, + "learning_rate": 5.636781609195403e-05, + "loss": 1.9974, + "step": 964 + }, + { + "epoch": 8.85, + "learning_rate": 5.632183908045977e-05, + "loss": 1.5358, + "step": 965 + }, + { + "epoch": 8.86, + "learning_rate": 5.627586206896552e-05, + "loss": 1.8221, + "step": 966 + }, + { + "epoch": 8.87, + "learning_rate": 5.622988505747127e-05, + "loss": 1.6338, + "step": 967 + }, + { + "epoch": 8.88, + "learning_rate": 5.618390804597702e-05, + "loss": 2.0472, + "step": 968 + }, + { + "epoch": 8.89, + "learning_rate": 5.613793103448276e-05, + "loss": 1.4399, + "step": 969 + }, + { + "epoch": 8.9, + "learning_rate": 5.609195402298851e-05, + "loss": 1.5876, + "step": 970 + }, + { + "epoch": 8.91, + "learning_rate": 5.604597701149425e-05, + "loss": 1.8649, + "step": 971 + }, + { + "epoch": 8.92, + "learning_rate": 5.6000000000000006e-05, + "loss": 1.7972, + "step": 972 + }, + { + "epoch": 8.93, + "learning_rate": 5.595402298850575e-05, + "loss": 1.9564, + "step": 973 + }, + { + "epoch": 8.94, + "learning_rate": 5.590804597701149e-05, + "loss": 1.8359, + "step": 974 + }, + { + "epoch": 8.94, + "learning_rate": 5.5862068965517245e-05, + "loss": 1.6019, + "step": 975 + }, + { + "epoch": 8.95, + "learning_rate": 5.5816091954022984e-05, + "loss": 1.8045, + "step": 976 + }, + { + "epoch": 8.96, + "learning_rate": 5.577011494252874e-05, + "loss": 1.6011, + "step": 977 + }, + { + "epoch": 8.97, + "learning_rate": 5.5724137931034484e-05, + "loss": 1.6857, + "step": 978 + }, + { + "epoch": 8.98, + "learning_rate": 5.567816091954024e-05, + "loss": 1.7729, + "step": 979 + }, + { + "epoch": 8.99, + "learning_rate": 5.5632183908045976e-05, + "loss": 1.9616, + "step": 980 + }, + { + "epoch": 9.0, + "learning_rate": 5.558620689655173e-05, + "loss": 1.7906, + "step": 981 + }, + { + "epoch": 9.0, + "eval_accuracy": 0.21951219512195122, + "eval_loss": 1.8828065395355225, + "eval_runtime": 13.7791, + "eval_samples_per_second": 11.902, + "eval_steps_per_second": 1.524, + "step": 981 + }, + { + "epoch": 9.01, + "learning_rate": 5.554022988505747e-05, + "loss": 1.5441, + "step": 982 + }, + { + "epoch": 9.02, + "learning_rate": 5.549425287356322e-05, + "loss": 2.9479, + "step": 983 + }, + { + "epoch": 9.03, + "learning_rate": 5.544827586206897e-05, + "loss": 1.6123, + "step": 984 + }, + { + "epoch": 9.04, + "learning_rate": 5.540229885057472e-05, + "loss": 2.0708, + "step": 985 + }, + { + "epoch": 9.05, + "learning_rate": 5.535632183908046e-05, + "loss": 1.8866, + "step": 986 + }, + { + "epoch": 9.06, + "learning_rate": 5.5310344827586214e-05, + "loss": 1.9072, + "step": 987 + }, + { + "epoch": 9.06, + "learning_rate": 5.5264367816091954e-05, + "loss": 1.4451, + "step": 988 + }, + { + "epoch": 9.07, + "learning_rate": 5.521839080459771e-05, + "loss": 1.6772, + "step": 989 + }, + { + "epoch": 9.08, + "learning_rate": 5.517241379310345e-05, + "loss": 2.1719, + "step": 990 + }, + { + "epoch": 9.09, + "learning_rate": 5.5126436781609206e-05, + "loss": 1.8784, + "step": 991 + }, + { + "epoch": 9.1, + "learning_rate": 5.5080459770114946e-05, + "loss": 3.1177, + "step": 992 + }, + { + "epoch": 9.11, + "learning_rate": 5.5034482758620685e-05, + "loss": 1.7357, + "step": 993 + }, + { + "epoch": 9.12, + "learning_rate": 5.498850574712644e-05, + "loss": 1.7998, + "step": 994 + }, + { + "epoch": 9.13, + "learning_rate": 5.4942528735632185e-05, + "loss": 1.5747, + "step": 995 + }, + { + "epoch": 9.14, + "learning_rate": 5.489655172413794e-05, + "loss": 1.8302, + "step": 996 + }, + { + "epoch": 9.15, + "learning_rate": 5.485057471264368e-05, + "loss": 1.5742, + "step": 997 + }, + { + "epoch": 9.16, + "learning_rate": 5.480459770114943e-05, + "loss": 1.5708, + "step": 998 + }, + { + "epoch": 9.17, + "learning_rate": 5.475862068965517e-05, + "loss": 1.7603, + "step": 999 + }, + { + "epoch": 9.17, + "learning_rate": 5.471264367816092e-05, + "loss": 2.3278, + "step": 1000 + }, + { + "epoch": 9.18, + "learning_rate": 5.466666666666666e-05, + "loss": 1.6209, + "step": 1001 + }, + { + "epoch": 9.19, + "learning_rate": 5.4620689655172416e-05, + "loss": 1.5913, + "step": 1002 + }, + { + "epoch": 9.2, + "learning_rate": 5.457471264367816e-05, + "loss": 1.9668, + "step": 1003 + }, + { + "epoch": 9.21, + "learning_rate": 5.4528735632183915e-05, + "loss": 1.7516, + "step": 1004 + }, + { + "epoch": 9.22, + "learning_rate": 5.4482758620689655e-05, + "loss": 2.2046, + "step": 1005 + }, + { + "epoch": 9.23, + "learning_rate": 5.443678160919541e-05, + "loss": 1.6139, + "step": 1006 + }, + { + "epoch": 9.24, + "learning_rate": 5.439080459770115e-05, + "loss": 2.0814, + "step": 1007 + }, + { + "epoch": 9.25, + "learning_rate": 5.43448275862069e-05, + "loss": 1.7788, + "step": 1008 + }, + { + "epoch": 9.26, + "learning_rate": 5.429885057471265e-05, + "loss": 2.279, + "step": 1009 + }, + { + "epoch": 9.27, + "learning_rate": 5.42528735632184e-05, + "loss": 1.6279, + "step": 1010 + }, + { + "epoch": 9.28, + "learning_rate": 5.420689655172414e-05, + "loss": 1.987, + "step": 1011 + }, + { + "epoch": 9.28, + "learning_rate": 5.416091954022989e-05, + "loss": 1.9465, + "step": 1012 + }, + { + "epoch": 9.29, + "learning_rate": 5.411494252873563e-05, + "loss": 1.5745, + "step": 1013 + }, + { + "epoch": 9.3, + "learning_rate": 5.406896551724138e-05, + "loss": 2.1603, + "step": 1014 + }, + { + "epoch": 9.31, + "learning_rate": 5.402298850574713e-05, + "loss": 1.7492, + "step": 1015 + }, + { + "epoch": 9.32, + "learning_rate": 5.397701149425287e-05, + "loss": 1.7249, + "step": 1016 + }, + { + "epoch": 9.33, + "learning_rate": 5.3931034482758624e-05, + "loss": 1.7231, + "step": 1017 + }, + { + "epoch": 9.34, + "learning_rate": 5.3885057471264364e-05, + "loss": 1.5967, + "step": 1018 + }, + { + "epoch": 9.35, + "learning_rate": 5.383908045977012e-05, + "loss": 2.3701, + "step": 1019 + }, + { + "epoch": 9.36, + "learning_rate": 5.379310344827586e-05, + "loss": 2.0977, + "step": 1020 + }, + { + "epoch": 9.37, + "learning_rate": 5.3747126436781616e-05, + "loss": 1.5535, + "step": 1021 + }, + { + "epoch": 9.38, + "learning_rate": 5.3701149425287356e-05, + "loss": 2.1187, + "step": 1022 + }, + { + "epoch": 9.39, + "learning_rate": 5.365517241379311e-05, + "loss": 2.507, + "step": 1023 + }, + { + "epoch": 9.39, + "learning_rate": 5.360919540229885e-05, + "loss": 1.6999, + "step": 1024 + }, + { + "epoch": 9.4, + "learning_rate": 5.35632183908046e-05, + "loss": 1.6494, + "step": 1025 + }, + { + "epoch": 9.41, + "learning_rate": 5.351724137931035e-05, + "loss": 1.6665, + "step": 1026 + }, + { + "epoch": 9.42, + "learning_rate": 5.34712643678161e-05, + "loss": 1.61, + "step": 1027 + }, + { + "epoch": 9.43, + "learning_rate": 5.342528735632184e-05, + "loss": 1.5044, + "step": 1028 + }, + { + "epoch": 9.44, + "learning_rate": 5.3379310344827594e-05, + "loss": 1.9559, + "step": 1029 + }, + { + "epoch": 9.45, + "learning_rate": 5.333333333333333e-05, + "loss": 1.5228, + "step": 1030 + }, + { + "epoch": 9.46, + "learning_rate": 5.3287356321839086e-05, + "loss": 1.8773, + "step": 1031 + }, + { + "epoch": 9.47, + "learning_rate": 5.324137931034483e-05, + "loss": 1.7751, + "step": 1032 + }, + { + "epoch": 9.48, + "learning_rate": 5.319540229885057e-05, + "loss": 1.5228, + "step": 1033 + }, + { + "epoch": 9.49, + "learning_rate": 5.3149425287356325e-05, + "loss": 1.9888, + "step": 1034 + }, + { + "epoch": 9.5, + "learning_rate": 5.3103448275862065e-05, + "loss": 1.6795, + "step": 1035 + }, + { + "epoch": 9.5, + "learning_rate": 5.305747126436782e-05, + "loss": 2.0138, + "step": 1036 + }, + { + "epoch": 9.51, + "learning_rate": 5.3011494252873564e-05, + "loss": 1.6971, + "step": 1037 + }, + { + "epoch": 9.52, + "learning_rate": 5.296551724137932e-05, + "loss": 1.7777, + "step": 1038 + }, + { + "epoch": 9.53, + "learning_rate": 5.291954022988506e-05, + "loss": 2.1331, + "step": 1039 + }, + { + "epoch": 9.54, + "learning_rate": 5.287356321839081e-05, + "loss": 1.8372, + "step": 1040 + }, + { + "epoch": 9.55, + "learning_rate": 5.282758620689655e-05, + "loss": 1.5228, + "step": 1041 + }, + { + "epoch": 9.56, + "learning_rate": 5.27816091954023e-05, + "loss": 1.8153, + "step": 1042 + }, + { + "epoch": 9.57, + "learning_rate": 5.273563218390805e-05, + "loss": 1.8493, + "step": 1043 + }, + { + "epoch": 9.58, + "learning_rate": 5.26896551724138e-05, + "loss": 2.7891, + "step": 1044 + }, + { + "epoch": 9.59, + "learning_rate": 5.264367816091954e-05, + "loss": 1.7777, + "step": 1045 + }, + { + "epoch": 9.6, + "learning_rate": 5.2597701149425295e-05, + "loss": 1.8097, + "step": 1046 + }, + { + "epoch": 9.61, + "learning_rate": 5.2551724137931034e-05, + "loss": 1.877, + "step": 1047 + }, + { + "epoch": 9.61, + "learning_rate": 5.250574712643679e-05, + "loss": 1.7261, + "step": 1048 + }, + { + "epoch": 9.62, + "learning_rate": 5.2459770114942534e-05, + "loss": 2.1932, + "step": 1049 + }, + { + "epoch": 9.63, + "learning_rate": 5.241379310344828e-05, + "loss": 1.6466, + "step": 1050 + }, + { + "epoch": 9.64, + "learning_rate": 5.2367816091954026e-05, + "loss": 1.45, + "step": 1051 + }, + { + "epoch": 9.65, + "learning_rate": 5.232183908045978e-05, + "loss": 1.9414, + "step": 1052 + }, + { + "epoch": 9.66, + "learning_rate": 5.227586206896552e-05, + "loss": 1.8628, + "step": 1053 + }, + { + "epoch": 9.67, + "learning_rate": 5.222988505747126e-05, + "loss": 1.5793, + "step": 1054 + }, + { + "epoch": 9.68, + "learning_rate": 5.218390804597701e-05, + "loss": 1.9985, + "step": 1055 + }, + { + "epoch": 9.69, + "learning_rate": 5.213793103448276e-05, + "loss": 1.4803, + "step": 1056 + }, + { + "epoch": 9.7, + "learning_rate": 5.209195402298851e-05, + "loss": 1.5633, + "step": 1057 + }, + { + "epoch": 9.71, + "learning_rate": 5.204597701149425e-05, + "loss": 1.5339, + "step": 1058 + }, + { + "epoch": 9.72, + "learning_rate": 5.2000000000000004e-05, + "loss": 1.6622, + "step": 1059 + }, + { + "epoch": 9.72, + "learning_rate": 5.195402298850574e-05, + "loss": 1.9722, + "step": 1060 + }, + { + "epoch": 9.73, + "learning_rate": 5.1908045977011496e-05, + "loss": 2.5116, + "step": 1061 + }, + { + "epoch": 9.74, + "learning_rate": 5.186206896551724e-05, + "loss": 1.6868, + "step": 1062 + }, + { + "epoch": 9.75, + "learning_rate": 5.1816091954022996e-05, + "loss": 1.9591, + "step": 1063 + }, + { + "epoch": 9.76, + "learning_rate": 5.1770114942528735e-05, + "loss": 1.5259, + "step": 1064 + }, + { + "epoch": 9.77, + "learning_rate": 5.172413793103449e-05, + "loss": 1.6895, + "step": 1065 + }, + { + "epoch": 9.78, + "learning_rate": 5.167816091954023e-05, + "loss": 1.7995, + "step": 1066 + }, + { + "epoch": 9.79, + "learning_rate": 5.163218390804598e-05, + "loss": 1.6273, + "step": 1067 + }, + { + "epoch": 9.8, + "learning_rate": 5.158620689655173e-05, + "loss": 1.7168, + "step": 1068 + }, + { + "epoch": 9.81, + "learning_rate": 5.154022988505748e-05, + "loss": 1.7664, + "step": 1069 + }, + { + "epoch": 9.82, + "learning_rate": 5.149425287356322e-05, + "loss": 1.7959, + "step": 1070 + }, + { + "epoch": 9.83, + "learning_rate": 5.144827586206897e-05, + "loss": 1.8727, + "step": 1071 + }, + { + "epoch": 9.83, + "learning_rate": 5.140229885057471e-05, + "loss": 1.863, + "step": 1072 + }, + { + "epoch": 9.84, + "learning_rate": 5.135632183908046e-05, + "loss": 1.9214, + "step": 1073 + }, + { + "epoch": 9.85, + "learning_rate": 5.131034482758621e-05, + "loss": 1.4723, + "step": 1074 + }, + { + "epoch": 9.86, + "learning_rate": 5.126436781609195e-05, + "loss": 2.0275, + "step": 1075 + }, + { + "epoch": 9.87, + "learning_rate": 5.1218390804597705e-05, + "loss": 1.6831, + "step": 1076 + }, + { + "epoch": 9.88, + "learning_rate": 5.1172413793103444e-05, + "loss": 1.9502, + "step": 1077 + }, + { + "epoch": 9.89, + "learning_rate": 5.11264367816092e-05, + "loss": 1.6278, + "step": 1078 + }, + { + "epoch": 9.9, + "learning_rate": 5.1080459770114944e-05, + "loss": 1.8112, + "step": 1079 + }, + { + "epoch": 9.91, + "learning_rate": 5.10344827586207e-05, + "loss": 2.2209, + "step": 1080 + }, + { + "epoch": 9.92, + "learning_rate": 5.0988505747126436e-05, + "loss": 1.7811, + "step": 1081 + }, + { + "epoch": 9.93, + "learning_rate": 5.094252873563219e-05, + "loss": 1.8164, + "step": 1082 + }, + { + "epoch": 9.94, + "learning_rate": 5.089655172413793e-05, + "loss": 1.8353, + "step": 1083 + }, + { + "epoch": 9.94, + "learning_rate": 5.085057471264368e-05, + "loss": 1.5037, + "step": 1084 + }, + { + "epoch": 9.95, + "learning_rate": 5.080459770114943e-05, + "loss": 2.0915, + "step": 1085 + }, + { + "epoch": 9.96, + "learning_rate": 5.075862068965518e-05, + "loss": 2.4845, + "step": 1086 + }, + { + "epoch": 9.97, + "learning_rate": 5.071264367816092e-05, + "loss": 1.8055, + "step": 1087 + }, + { + "epoch": 9.98, + "learning_rate": 5.0666666666666674e-05, + "loss": 1.7321, + "step": 1088 + }, + { + "epoch": 9.99, + "learning_rate": 5.0620689655172414e-05, + "loss": 2.7694, + "step": 1089 + }, + { + "epoch": 10.0, + "learning_rate": 5.057471264367817e-05, + "loss": 1.5295, + "step": 1090 + }, + { + "epoch": 10.0, + "eval_accuracy": 0.21951219512195122, + "eval_loss": 1.8966660499572754, + "eval_runtime": 13.7625, + "eval_samples_per_second": 11.916, + "eval_steps_per_second": 1.526, + "step": 1090 + }, + { + "epoch": 10.01, + "learning_rate": 5.052873563218391e-05, + "loss": 1.6022, + "step": 1091 + }, + { + "epoch": 10.02, + "learning_rate": 5.0482758620689666e-05, + "loss": 1.6204, + "step": 1092 + }, + { + "epoch": 10.03, + "learning_rate": 5.0436781609195406e-05, + "loss": 1.7482, + "step": 1093 + }, + { + "epoch": 10.04, + "learning_rate": 5.0390804597701145e-05, + "loss": 1.6257, + "step": 1094 + }, + { + "epoch": 10.05, + "learning_rate": 5.03448275862069e-05, + "loss": 1.797, + "step": 1095 + }, + { + "epoch": 10.06, + "learning_rate": 5.0298850574712645e-05, + "loss": 1.8939, + "step": 1096 + }, + { + "epoch": 10.06, + "learning_rate": 5.02528735632184e-05, + "loss": 2.1351, + "step": 1097 + }, + { + "epoch": 10.07, + "learning_rate": 5.020689655172414e-05, + "loss": 1.528, + "step": 1098 + }, + { + "epoch": 10.08, + "learning_rate": 5.016091954022989e-05, + "loss": 1.9282, + "step": 1099 + }, + { + "epoch": 10.09, + "learning_rate": 5.011494252873563e-05, + "loss": 1.6743, + "step": 1100 + }, + { + "epoch": 10.1, + "learning_rate": 5.006896551724138e-05, + "loss": 2.1668, + "step": 1101 + }, + { + "epoch": 10.11, + "learning_rate": 5.002298850574713e-05, + "loss": 1.6883, + "step": 1102 + }, + { + "epoch": 10.12, + "learning_rate": 4.9977011494252876e-05, + "loss": 1.6938, + "step": 1103 + }, + { + "epoch": 10.13, + "learning_rate": 4.993103448275862e-05, + "loss": 1.52, + "step": 1104 + }, + { + "epoch": 10.14, + "learning_rate": 4.988505747126437e-05, + "loss": 2.5396, + "step": 1105 + }, + { + "epoch": 10.15, + "learning_rate": 4.9839080459770115e-05, + "loss": 1.7773, + "step": 1106 + }, + { + "epoch": 10.16, + "learning_rate": 4.979310344827586e-05, + "loss": 1.8641, + "step": 1107 + }, + { + "epoch": 10.17, + "learning_rate": 4.974712643678161e-05, + "loss": 2.0225, + "step": 1108 + }, + { + "epoch": 10.17, + "learning_rate": 4.970114942528736e-05, + "loss": 1.6182, + "step": 1109 + }, + { + "epoch": 10.18, + "learning_rate": 4.9655172413793107e-05, + "loss": 1.611, + "step": 1110 + }, + { + "epoch": 10.19, + "learning_rate": 4.960919540229885e-05, + "loss": 1.6986, + "step": 1111 + }, + { + "epoch": 10.2, + "learning_rate": 4.95632183908046e-05, + "loss": 1.5553, + "step": 1112 + }, + { + "epoch": 10.21, + "learning_rate": 4.9517241379310346e-05, + "loss": 2.1768, + "step": 1113 + }, + { + "epoch": 10.22, + "learning_rate": 4.947126436781609e-05, + "loss": 2.5448, + "step": 1114 + }, + { + "epoch": 10.23, + "learning_rate": 4.9425287356321845e-05, + "loss": 1.966, + "step": 1115 + }, + { + "epoch": 10.24, + "learning_rate": 4.937931034482759e-05, + "loss": 1.5207, + "step": 1116 + }, + { + "epoch": 10.25, + "learning_rate": 4.933333333333334e-05, + "loss": 1.7253, + "step": 1117 + }, + { + "epoch": 10.26, + "learning_rate": 4.9287356321839084e-05, + "loss": 2.0926, + "step": 1118 + }, + { + "epoch": 10.27, + "learning_rate": 4.924137931034483e-05, + "loss": 1.8249, + "step": 1119 + }, + { + "epoch": 10.28, + "learning_rate": 4.9195402298850577e-05, + "loss": 1.8302, + "step": 1120 + }, + { + "epoch": 10.28, + "learning_rate": 4.914942528735633e-05, + "loss": 1.715, + "step": 1121 + }, + { + "epoch": 10.29, + "learning_rate": 4.9103448275862076e-05, + "loss": 1.7139, + "step": 1122 + }, + { + "epoch": 10.3, + "learning_rate": 4.9057471264367816e-05, + "loss": 1.7456, + "step": 1123 + }, + { + "epoch": 10.31, + "learning_rate": 4.901149425287356e-05, + "loss": 1.5951, + "step": 1124 + }, + { + "epoch": 10.32, + "learning_rate": 4.896551724137931e-05, + "loss": 2.1174, + "step": 1125 + }, + { + "epoch": 10.33, + "learning_rate": 4.891954022988506e-05, + "loss": 1.6536, + "step": 1126 + }, + { + "epoch": 10.34, + "learning_rate": 4.887356321839081e-05, + "loss": 1.6761, + "step": 1127 + }, + { + "epoch": 10.35, + "learning_rate": 4.8827586206896554e-05, + "loss": 1.6738, + "step": 1128 + }, + { + "epoch": 10.36, + "learning_rate": 4.87816091954023e-05, + "loss": 2.0975, + "step": 1129 + }, + { + "epoch": 10.37, + "learning_rate": 4.8735632183908047e-05, + "loss": 1.861, + "step": 1130 + }, + { + "epoch": 10.38, + "learning_rate": 4.868965517241379e-05, + "loss": 1.5345, + "step": 1131 + }, + { + "epoch": 10.39, + "learning_rate": 4.864367816091954e-05, + "loss": 1.7257, + "step": 1132 + }, + { + "epoch": 10.39, + "learning_rate": 4.859770114942529e-05, + "loss": 1.799, + "step": 1133 + }, + { + "epoch": 10.4, + "learning_rate": 4.855172413793104e-05, + "loss": 1.5788, + "step": 1134 + }, + { + "epoch": 10.41, + "learning_rate": 4.8505747126436785e-05, + "loss": 1.9471, + "step": 1135 + }, + { + "epoch": 10.42, + "learning_rate": 4.845977011494253e-05, + "loss": 1.7962, + "step": 1136 + }, + { + "epoch": 10.43, + "learning_rate": 4.841379310344828e-05, + "loss": 1.7238, + "step": 1137 + }, + { + "epoch": 10.44, + "learning_rate": 4.8367816091954024e-05, + "loss": 2.3117, + "step": 1138 + }, + { + "epoch": 10.45, + "learning_rate": 4.832183908045978e-05, + "loss": 1.7619, + "step": 1139 + }, + { + "epoch": 10.46, + "learning_rate": 4.827586206896552e-05, + "loss": 2.0288, + "step": 1140 + }, + { + "epoch": 10.47, + "learning_rate": 4.822988505747127e-05, + "loss": 1.8205, + "step": 1141 + }, + { + "epoch": 10.48, + "learning_rate": 4.8183908045977016e-05, + "loss": 2.0771, + "step": 1142 + }, + { + "epoch": 10.49, + "learning_rate": 4.8137931034482755e-05, + "loss": 1.8914, + "step": 1143 + }, + { + "epoch": 10.5, + "learning_rate": 4.809195402298851e-05, + "loss": 1.9269, + "step": 1144 + }, + { + "epoch": 10.5, + "learning_rate": 4.8045977011494255e-05, + "loss": 1.8094, + "step": 1145 + }, + { + "epoch": 10.51, + "learning_rate": 4.8e-05, + "loss": 1.9557, + "step": 1146 + }, + { + "epoch": 10.52, + "learning_rate": 4.795402298850575e-05, + "loss": 1.617, + "step": 1147 + }, + { + "epoch": 10.53, + "learning_rate": 4.7908045977011494e-05, + "loss": 1.4893, + "step": 1148 + }, + { + "epoch": 10.54, + "learning_rate": 4.786206896551724e-05, + "loss": 1.466, + "step": 1149 + }, + { + "epoch": 10.55, + "learning_rate": 4.781609195402299e-05, + "loss": 1.8566, + "step": 1150 + }, + { + "epoch": 10.56, + "learning_rate": 4.777011494252874e-05, + "loss": 2.3088, + "step": 1151 + }, + { + "epoch": 10.57, + "learning_rate": 4.7724137931034486e-05, + "loss": 1.6722, + "step": 1152 + }, + { + "epoch": 10.58, + "learning_rate": 4.767816091954023e-05, + "loss": 1.875, + "step": 1153 + }, + { + "epoch": 10.59, + "learning_rate": 4.763218390804598e-05, + "loss": 2.2614, + "step": 1154 + }, + { + "epoch": 10.6, + "learning_rate": 4.7586206896551725e-05, + "loss": 1.7057, + "step": 1155 + }, + { + "epoch": 10.61, + "learning_rate": 4.754022988505747e-05, + "loss": 2.3504, + "step": 1156 + }, + { + "epoch": 10.61, + "learning_rate": 4.7494252873563224e-05, + "loss": 2.4084, + "step": 1157 + }, + { + "epoch": 10.62, + "learning_rate": 4.744827586206897e-05, + "loss": 1.6128, + "step": 1158 + }, + { + "epoch": 10.63, + "learning_rate": 4.740229885057472e-05, + "loss": 1.7897, + "step": 1159 + }, + { + "epoch": 10.64, + "learning_rate": 4.735632183908046e-05, + "loss": 2.366, + "step": 1160 + }, + { + "epoch": 10.65, + "learning_rate": 4.731034482758621e-05, + "loss": 1.688, + "step": 1161 + }, + { + "epoch": 10.66, + "learning_rate": 4.7264367816091956e-05, + "loss": 1.5409, + "step": 1162 + }, + { + "epoch": 10.67, + "learning_rate": 4.72183908045977e-05, + "loss": 2.2352, + "step": 1163 + }, + { + "epoch": 10.68, + "learning_rate": 4.717241379310345e-05, + "loss": 1.6621, + "step": 1164 + }, + { + "epoch": 10.69, + "learning_rate": 4.7126436781609195e-05, + "loss": 1.6263, + "step": 1165 + }, + { + "epoch": 10.7, + "learning_rate": 4.708045977011494e-05, + "loss": 1.5474, + "step": 1166 + }, + { + "epoch": 10.71, + "learning_rate": 4.703448275862069e-05, + "loss": 1.9526, + "step": 1167 + }, + { + "epoch": 10.72, + "learning_rate": 4.698850574712644e-05, + "loss": 1.6815, + "step": 1168 + }, + { + "epoch": 10.72, + "learning_rate": 4.694252873563219e-05, + "loss": 1.6676, + "step": 1169 + }, + { + "epoch": 10.73, + "learning_rate": 4.689655172413793e-05, + "loss": 1.77, + "step": 1170 + }, + { + "epoch": 10.74, + "learning_rate": 4.685057471264368e-05, + "loss": 1.494, + "step": 1171 + }, + { + "epoch": 10.75, + "learning_rate": 4.6804597701149426e-05, + "loss": 1.9129, + "step": 1172 + }, + { + "epoch": 10.76, + "learning_rate": 4.675862068965517e-05, + "loss": 1.993, + "step": 1173 + }, + { + "epoch": 10.77, + "learning_rate": 4.6712643678160925e-05, + "loss": 1.6449, + "step": 1174 + }, + { + "epoch": 10.78, + "learning_rate": 4.666666666666667e-05, + "loss": 2.3529, + "step": 1175 + }, + { + "epoch": 10.79, + "learning_rate": 4.662068965517242e-05, + "loss": 1.9031, + "step": 1176 + }, + { + "epoch": 10.8, + "learning_rate": 4.6574712643678164e-05, + "loss": 1.6279, + "step": 1177 + }, + { + "epoch": 10.81, + "learning_rate": 4.652873563218391e-05, + "loss": 1.8566, + "step": 1178 + }, + { + "epoch": 10.82, + "learning_rate": 4.648275862068966e-05, + "loss": 2.4531, + "step": 1179 + }, + { + "epoch": 10.83, + "learning_rate": 4.643678160919541e-05, + "loss": 1.8475, + "step": 1180 + }, + { + "epoch": 10.83, + "learning_rate": 4.6390804597701156e-05, + "loss": 1.5609, + "step": 1181 + }, + { + "epoch": 10.84, + "learning_rate": 4.63448275862069e-05, + "loss": 2.027, + "step": 1182 + }, + { + "epoch": 10.85, + "learning_rate": 4.629885057471264e-05, + "loss": 2.1715, + "step": 1183 + }, + { + "epoch": 10.86, + "learning_rate": 4.625287356321839e-05, + "loss": 1.5091, + "step": 1184 + }, + { + "epoch": 10.87, + "learning_rate": 4.6206896551724135e-05, + "loss": 2.0099, + "step": 1185 + }, + { + "epoch": 10.88, + "learning_rate": 4.616091954022989e-05, + "loss": 1.6862, + "step": 1186 + }, + { + "epoch": 10.89, + "learning_rate": 4.6114942528735634e-05, + "loss": 1.4196, + "step": 1187 + }, + { + "epoch": 10.9, + "learning_rate": 4.606896551724138e-05, + "loss": 1.6296, + "step": 1188 + }, + { + "epoch": 10.91, + "learning_rate": 4.602298850574713e-05, + "loss": 1.8882, + "step": 1189 + }, + { + "epoch": 10.92, + "learning_rate": 4.597701149425287e-05, + "loss": 1.5142, + "step": 1190 + }, + { + "epoch": 10.93, + "learning_rate": 4.593103448275862e-05, + "loss": 1.9896, + "step": 1191 + }, + { + "epoch": 10.94, + "learning_rate": 4.588505747126437e-05, + "loss": 2.1445, + "step": 1192 + }, + { + "epoch": 10.94, + "learning_rate": 4.583908045977012e-05, + "loss": 1.9979, + "step": 1193 + }, + { + "epoch": 10.95, + "learning_rate": 4.5793103448275865e-05, + "loss": 2.0643, + "step": 1194 + }, + { + "epoch": 10.96, + "learning_rate": 4.574712643678161e-05, + "loss": 1.5688, + "step": 1195 + }, + { + "epoch": 10.97, + "learning_rate": 4.570114942528736e-05, + "loss": 1.5461, + "step": 1196 + }, + { + "epoch": 10.98, + "learning_rate": 4.5655172413793104e-05, + "loss": 1.8079, + "step": 1197 + }, + { + "epoch": 10.99, + "learning_rate": 4.560919540229886e-05, + "loss": 2.1349, + "step": 1198 + }, + { + "epoch": 11.0, + "learning_rate": 4.5563218390804604e-05, + "loss": 1.7018, + "step": 1199 + }, + { + "epoch": 11.0, + "eval_accuracy": 0.23780487804878048, + "eval_loss": 1.8844590187072754, + "eval_runtime": 13.7761, + "eval_samples_per_second": 11.905, + "eval_steps_per_second": 1.524, + "step": 1199 + }, + { + "epoch": 11.01, + "learning_rate": 4.551724137931035e-05, + "loss": 1.6172, + "step": 1200 + }, + { + "epoch": 11.02, + "learning_rate": 4.5471264367816096e-05, + "loss": 1.9045, + "step": 1201 + }, + { + "epoch": 11.03, + "learning_rate": 4.542528735632184e-05, + "loss": 2.3164, + "step": 1202 + }, + { + "epoch": 11.04, + "learning_rate": 4.537931034482759e-05, + "loss": 1.9805, + "step": 1203 + }, + { + "epoch": 11.05, + "learning_rate": 4.5333333333333335e-05, + "loss": 1.8664, + "step": 1204 + }, + { + "epoch": 11.06, + "learning_rate": 4.528735632183908e-05, + "loss": 2.0649, + "step": 1205 + }, + { + "epoch": 11.06, + "learning_rate": 4.524137931034483e-05, + "loss": 1.8231, + "step": 1206 + }, + { + "epoch": 11.07, + "learning_rate": 4.5195402298850574e-05, + "loss": 2.1961, + "step": 1207 + }, + { + "epoch": 11.08, + "learning_rate": 4.514942528735632e-05, + "loss": 1.5721, + "step": 1208 + }, + { + "epoch": 11.09, + "learning_rate": 4.510344827586207e-05, + "loss": 1.7613, + "step": 1209 + }, + { + "epoch": 11.1, + "learning_rate": 4.505747126436782e-05, + "loss": 1.5303, + "step": 1210 + }, + { + "epoch": 11.11, + "learning_rate": 4.5011494252873566e-05, + "loss": 2.0698, + "step": 1211 + }, + { + "epoch": 11.12, + "learning_rate": 4.496551724137931e-05, + "loss": 1.6326, + "step": 1212 + }, + { + "epoch": 11.13, + "learning_rate": 4.491954022988506e-05, + "loss": 1.5959, + "step": 1213 + }, + { + "epoch": 11.14, + "learning_rate": 4.4873563218390805e-05, + "loss": 1.5667, + "step": 1214 + }, + { + "epoch": 11.15, + "learning_rate": 4.482758620689655e-05, + "loss": 1.5443, + "step": 1215 + }, + { + "epoch": 11.16, + "learning_rate": 4.4781609195402305e-05, + "loss": 1.9723, + "step": 1216 + }, + { + "epoch": 11.17, + "learning_rate": 4.473563218390805e-05, + "loss": 1.9295, + "step": 1217 + }, + { + "epoch": 11.17, + "learning_rate": 4.46896551724138e-05, + "loss": 1.7935, + "step": 1218 + }, + { + "epoch": 11.18, + "learning_rate": 4.4643678160919544e-05, + "loss": 2.0555, + "step": 1219 + }, + { + "epoch": 11.19, + "learning_rate": 4.459770114942529e-05, + "loss": 1.5651, + "step": 1220 + }, + { + "epoch": 11.2, + "learning_rate": 4.4551724137931036e-05, + "loss": 1.4282, + "step": 1221 + }, + { + "epoch": 11.21, + "learning_rate": 4.450574712643679e-05, + "loss": 2.3602, + "step": 1222 + }, + { + "epoch": 11.22, + "learning_rate": 4.445977011494253e-05, + "loss": 1.6559, + "step": 1223 + }, + { + "epoch": 11.23, + "learning_rate": 4.4413793103448275e-05, + "loss": 2.0973, + "step": 1224 + }, + { + "epoch": 11.24, + "learning_rate": 4.436781609195402e-05, + "loss": 1.9338, + "step": 1225 + }, + { + "epoch": 11.25, + "learning_rate": 4.432183908045977e-05, + "loss": 2.0715, + "step": 1226 + }, + { + "epoch": 11.26, + "learning_rate": 4.427586206896552e-05, + "loss": 1.988, + "step": 1227 + }, + { + "epoch": 11.27, + "learning_rate": 4.422988505747127e-05, + "loss": 1.7847, + "step": 1228 + }, + { + "epoch": 11.28, + "learning_rate": 4.4183908045977014e-05, + "loss": 1.5549, + "step": 1229 + }, + { + "epoch": 11.28, + "learning_rate": 4.413793103448276e-05, + "loss": 2.0698, + "step": 1230 + }, + { + "epoch": 11.29, + "learning_rate": 4.4091954022988506e-05, + "loss": 1.9976, + "step": 1231 + }, + { + "epoch": 11.3, + "learning_rate": 4.404597701149425e-05, + "loss": 1.8382, + "step": 1232 + }, + { + "epoch": 11.31, + "learning_rate": 4.4000000000000006e-05, + "loss": 1.7964, + "step": 1233 + }, + { + "epoch": 11.32, + "learning_rate": 4.395402298850575e-05, + "loss": 1.7887, + "step": 1234 + }, + { + "epoch": 11.33, + "learning_rate": 4.39080459770115e-05, + "loss": 1.6257, + "step": 1235 + }, + { + "epoch": 11.34, + "learning_rate": 4.3862068965517245e-05, + "loss": 1.8848, + "step": 1236 + }, + { + "epoch": 11.35, + "learning_rate": 4.381609195402299e-05, + "loss": 1.7344, + "step": 1237 + }, + { + "epoch": 11.36, + "learning_rate": 4.377011494252874e-05, + "loss": 1.9342, + "step": 1238 + }, + { + "epoch": 11.37, + "learning_rate": 4.3724137931034484e-05, + "loss": 1.8743, + "step": 1239 + }, + { + "epoch": 11.38, + "learning_rate": 4.367816091954024e-05, + "loss": 1.6978, + "step": 1240 + }, + { + "epoch": 11.39, + "learning_rate": 4.363218390804598e-05, + "loss": 1.6164, + "step": 1241 + }, + { + "epoch": 11.39, + "learning_rate": 4.358620689655173e-05, + "loss": 1.6506, + "step": 1242 + }, + { + "epoch": 11.4, + "learning_rate": 4.354022988505747e-05, + "loss": 2.0403, + "step": 1243 + }, + { + "epoch": 11.41, + "learning_rate": 4.3494252873563215e-05, + "loss": 1.8511, + "step": 1244 + }, + { + "epoch": 11.42, + "learning_rate": 4.344827586206897e-05, + "loss": 1.5176, + "step": 1245 + }, + { + "epoch": 11.43, + "learning_rate": 4.3402298850574715e-05, + "loss": 1.6011, + "step": 1246 + }, + { + "epoch": 11.44, + "learning_rate": 4.335632183908046e-05, + "loss": 1.6582, + "step": 1247 + }, + { + "epoch": 11.45, + "learning_rate": 4.331034482758621e-05, + "loss": 1.8379, + "step": 1248 + }, + { + "epoch": 11.46, + "learning_rate": 4.3264367816091954e-05, + "loss": 1.6789, + "step": 1249 + }, + { + "epoch": 11.47, + "learning_rate": 4.32183908045977e-05, + "loss": 1.9702, + "step": 1250 + }, + { + "epoch": 11.48, + "learning_rate": 4.317241379310345e-05, + "loss": 1.8424, + "step": 1251 + }, + { + "epoch": 11.49, + "learning_rate": 4.31264367816092e-05, + "loss": 1.6566, + "step": 1252 + }, + { + "epoch": 11.5, + "learning_rate": 4.3080459770114946e-05, + "loss": 2.2305, + "step": 1253 + }, + { + "epoch": 11.5, + "learning_rate": 4.303448275862069e-05, + "loss": 1.9766, + "step": 1254 + }, + { + "epoch": 11.51, + "learning_rate": 4.298850574712644e-05, + "loss": 2.3747, + "step": 1255 + }, + { + "epoch": 11.52, + "learning_rate": 4.2942528735632185e-05, + "loss": 1.5701, + "step": 1256 + }, + { + "epoch": 11.53, + "learning_rate": 4.289655172413794e-05, + "loss": 2.0265, + "step": 1257 + }, + { + "epoch": 11.54, + "learning_rate": 4.2850574712643684e-05, + "loss": 1.7035, + "step": 1258 + }, + { + "epoch": 11.55, + "learning_rate": 4.280459770114943e-05, + "loss": 1.8665, + "step": 1259 + }, + { + "epoch": 11.56, + "learning_rate": 4.275862068965518e-05, + "loss": 1.7173, + "step": 1260 + }, + { + "epoch": 11.57, + "learning_rate": 4.271264367816092e-05, + "loss": 1.8296, + "step": 1261 + }, + { + "epoch": 11.58, + "learning_rate": 4.266666666666667e-05, + "loss": 2.0926, + "step": 1262 + }, + { + "epoch": 11.59, + "learning_rate": 4.2620689655172416e-05, + "loss": 1.4948, + "step": 1263 + }, + { + "epoch": 11.6, + "learning_rate": 4.257471264367816e-05, + "loss": 1.8761, + "step": 1264 + }, + { + "epoch": 11.61, + "learning_rate": 4.252873563218391e-05, + "loss": 1.6701, + "step": 1265 + }, + { + "epoch": 11.61, + "learning_rate": 4.2482758620689655e-05, + "loss": 1.7051, + "step": 1266 + }, + { + "epoch": 11.62, + "learning_rate": 4.24367816091954e-05, + "loss": 1.6675, + "step": 1267 + }, + { + "epoch": 11.63, + "learning_rate": 4.239080459770115e-05, + "loss": 1.6203, + "step": 1268 + }, + { + "epoch": 11.64, + "learning_rate": 4.23448275862069e-05, + "loss": 2.0101, + "step": 1269 + }, + { + "epoch": 11.65, + "learning_rate": 4.2298850574712647e-05, + "loss": 1.6746, + "step": 1270 + }, + { + "epoch": 11.66, + "learning_rate": 4.225287356321839e-05, + "loss": 2.7695, + "step": 1271 + }, + { + "epoch": 11.67, + "learning_rate": 4.220689655172414e-05, + "loss": 1.5369, + "step": 1272 + }, + { + "epoch": 11.68, + "learning_rate": 4.2160919540229886e-05, + "loss": 2.1051, + "step": 1273 + }, + { + "epoch": 11.69, + "learning_rate": 4.211494252873563e-05, + "loss": 2.0049, + "step": 1274 + }, + { + "epoch": 11.7, + "learning_rate": 4.2068965517241385e-05, + "loss": 1.8354, + "step": 1275 + }, + { + "epoch": 11.71, + "learning_rate": 4.202298850574713e-05, + "loss": 1.8571, + "step": 1276 + }, + { + "epoch": 11.72, + "learning_rate": 4.197701149425288e-05, + "loss": 2.2498, + "step": 1277 + }, + { + "epoch": 11.72, + "learning_rate": 4.1931034482758624e-05, + "loss": 1.6582, + "step": 1278 + }, + { + "epoch": 11.73, + "learning_rate": 4.188505747126437e-05, + "loss": 1.6263, + "step": 1279 + }, + { + "epoch": 11.74, + "learning_rate": 4.1839080459770117e-05, + "loss": 1.6029, + "step": 1280 + }, + { + "epoch": 11.75, + "learning_rate": 4.179310344827587e-05, + "loss": 2.0412, + "step": 1281 + }, + { + "epoch": 11.76, + "learning_rate": 4.1747126436781616e-05, + "loss": 1.5327, + "step": 1282 + }, + { + "epoch": 11.77, + "learning_rate": 4.1701149425287356e-05, + "loss": 1.8146, + "step": 1283 + }, + { + "epoch": 11.78, + "learning_rate": 4.16551724137931e-05, + "loss": 1.6007, + "step": 1284 + }, + { + "epoch": 11.79, + "learning_rate": 4.160919540229885e-05, + "loss": 1.6982, + "step": 1285 + }, + { + "epoch": 11.8, + "learning_rate": 4.15632183908046e-05, + "loss": 1.6987, + "step": 1286 + }, + { + "epoch": 11.81, + "learning_rate": 4.151724137931035e-05, + "loss": 2.2549, + "step": 1287 + }, + { + "epoch": 11.82, + "learning_rate": 4.1471264367816094e-05, + "loss": 1.7121, + "step": 1288 + }, + { + "epoch": 11.83, + "learning_rate": 4.142528735632184e-05, + "loss": 2.1203, + "step": 1289 + }, + { + "epoch": 11.83, + "learning_rate": 4.1379310344827587e-05, + "loss": 2.1497, + "step": 1290 + }, + { + "epoch": 11.84, + "learning_rate": 4.133333333333333e-05, + "loss": 2.3716, + "step": 1291 + }, + { + "epoch": 11.85, + "learning_rate": 4.128735632183908e-05, + "loss": 1.4795, + "step": 1292 + }, + { + "epoch": 11.86, + "learning_rate": 4.124137931034483e-05, + "loss": 1.8084, + "step": 1293 + }, + { + "epoch": 11.87, + "learning_rate": 4.119540229885058e-05, + "loss": 1.8711, + "step": 1294 + }, + { + "epoch": 11.88, + "learning_rate": 4.1149425287356325e-05, + "loss": 1.7199, + "step": 1295 + }, + { + "epoch": 11.89, + "learning_rate": 4.110344827586207e-05, + "loss": 1.4984, + "step": 1296 + }, + { + "epoch": 11.9, + "learning_rate": 4.105747126436782e-05, + "loss": 1.8105, + "step": 1297 + }, + { + "epoch": 11.91, + "learning_rate": 4.1011494252873564e-05, + "loss": 1.96, + "step": 1298 + }, + { + "epoch": 11.92, + "learning_rate": 4.096551724137932e-05, + "loss": 1.7435, + "step": 1299 + }, + { + "epoch": 11.93, + "learning_rate": 4.091954022988506e-05, + "loss": 1.5999, + "step": 1300 + }, + { + "epoch": 11.94, + "learning_rate": 4.087356321839081e-05, + "loss": 1.6416, + "step": 1301 + }, + { + "epoch": 11.94, + "learning_rate": 4.0827586206896556e-05, + "loss": 1.5633, + "step": 1302 + }, + { + "epoch": 11.95, + "learning_rate": 4.0781609195402295e-05, + "loss": 1.5324, + "step": 1303 + }, + { + "epoch": 11.96, + "learning_rate": 4.073563218390805e-05, + "loss": 1.7332, + "step": 1304 + }, + { + "epoch": 11.97, + "learning_rate": 4.0689655172413795e-05, + "loss": 2.6089, + "step": 1305 + }, + { + "epoch": 11.98, + "learning_rate": 4.064367816091954e-05, + "loss": 2.0877, + "step": 1306 + }, + { + "epoch": 11.99, + "learning_rate": 4.059770114942529e-05, + "loss": 1.6229, + "step": 1307 + }, + { + "epoch": 12.0, + "learning_rate": 4.0551724137931034e-05, + "loss": 1.8412, + "step": 1308 + }, + { + "epoch": 12.0, + "eval_accuracy": 0.2073170731707317, + "eval_loss": 1.8808236122131348, + "eval_runtime": 13.7567, + "eval_samples_per_second": 11.921, + "eval_steps_per_second": 1.527, + "step": 1308 + }, + { + "epoch": 12.01, + "learning_rate": 4.050574712643678e-05, + "loss": 1.6997, + "step": 1309 + }, + { + "epoch": 12.02, + "learning_rate": 4.045977011494253e-05, + "loss": 1.8682, + "step": 1310 + }, + { + "epoch": 12.03, + "learning_rate": 4.041379310344828e-05, + "loss": 2.7541, + "step": 1311 + }, + { + "epoch": 12.04, + "learning_rate": 4.0367816091954026e-05, + "loss": 1.7106, + "step": 1312 + }, + { + "epoch": 12.05, + "learning_rate": 4.032183908045977e-05, + "loss": 2.2801, + "step": 1313 + }, + { + "epoch": 12.06, + "learning_rate": 4.027586206896552e-05, + "loss": 1.6076, + "step": 1314 + }, + { + "epoch": 12.06, + "learning_rate": 4.0229885057471265e-05, + "loss": 1.9743, + "step": 1315 + }, + { + "epoch": 12.07, + "learning_rate": 4.018390804597701e-05, + "loss": 1.6813, + "step": 1316 + }, + { + "epoch": 12.08, + "learning_rate": 4.0137931034482764e-05, + "loss": 1.4762, + "step": 1317 + }, + { + "epoch": 12.09, + "learning_rate": 4.009195402298851e-05, + "loss": 1.5628, + "step": 1318 + }, + { + "epoch": 12.1, + "learning_rate": 4.004597701149426e-05, + "loss": 1.7441, + "step": 1319 + }, + { + "epoch": 12.11, + "learning_rate": 4e-05, + "loss": 2.4427, + "step": 1320 + }, + { + "epoch": 12.12, + "learning_rate": 3.995402298850575e-05, + "loss": 1.8439, + "step": 1321 + }, + { + "epoch": 12.13, + "learning_rate": 3.9908045977011496e-05, + "loss": 1.7676, + "step": 1322 + }, + { + "epoch": 12.14, + "learning_rate": 3.986206896551724e-05, + "loss": 1.876, + "step": 1323 + }, + { + "epoch": 12.15, + "learning_rate": 3.981609195402299e-05, + "loss": 1.8944, + "step": 1324 + }, + { + "epoch": 12.16, + "learning_rate": 3.9770114942528735e-05, + "loss": 1.6557, + "step": 1325 + }, + { + "epoch": 12.17, + "learning_rate": 3.972413793103448e-05, + "loss": 1.7728, + "step": 1326 + }, + { + "epoch": 12.17, + "learning_rate": 3.967816091954023e-05, + "loss": 1.9071, + "step": 1327 + }, + { + "epoch": 12.18, + "learning_rate": 3.963218390804598e-05, + "loss": 2.0858, + "step": 1328 + }, + { + "epoch": 12.19, + "learning_rate": 3.958620689655173e-05, + "loss": 1.6608, + "step": 1329 + }, + { + "epoch": 12.2, + "learning_rate": 3.954022988505747e-05, + "loss": 1.8184, + "step": 1330 + }, + { + "epoch": 12.21, + "learning_rate": 3.949425287356322e-05, + "loss": 1.931, + "step": 1331 + }, + { + "epoch": 12.22, + "learning_rate": 3.9448275862068966e-05, + "loss": 1.8122, + "step": 1332 + }, + { + "epoch": 12.23, + "learning_rate": 3.940229885057471e-05, + "loss": 1.6846, + "step": 1333 + }, + { + "epoch": 12.24, + "learning_rate": 3.9356321839080465e-05, + "loss": 1.9634, + "step": 1334 + }, + { + "epoch": 12.25, + "learning_rate": 3.931034482758621e-05, + "loss": 1.6266, + "step": 1335 + }, + { + "epoch": 12.26, + "learning_rate": 3.926436781609196e-05, + "loss": 2.2756, + "step": 1336 + }, + { + "epoch": 12.27, + "learning_rate": 3.9218390804597704e-05, + "loss": 1.5933, + "step": 1337 + }, + { + "epoch": 12.28, + "learning_rate": 3.917241379310345e-05, + "loss": 1.8022, + "step": 1338 + }, + { + "epoch": 12.28, + "learning_rate": 3.91264367816092e-05, + "loss": 1.6755, + "step": 1339 + }, + { + "epoch": 12.29, + "learning_rate": 3.908045977011495e-05, + "loss": 2.2314, + "step": 1340 + }, + { + "epoch": 12.3, + "learning_rate": 3.9034482758620696e-05, + "loss": 2.1081, + "step": 1341 + }, + { + "epoch": 12.31, + "learning_rate": 3.8988505747126436e-05, + "loss": 1.8835, + "step": 1342 + }, + { + "epoch": 12.32, + "learning_rate": 3.894252873563218e-05, + "loss": 2.1328, + "step": 1343 + }, + { + "epoch": 12.33, + "learning_rate": 3.889655172413793e-05, + "loss": 2.1217, + "step": 1344 + }, + { + "epoch": 12.34, + "learning_rate": 3.8850574712643675e-05, + "loss": 1.7944, + "step": 1345 + }, + { + "epoch": 12.35, + "learning_rate": 3.880459770114943e-05, + "loss": 1.5661, + "step": 1346 + }, + { + "epoch": 12.36, + "learning_rate": 3.8758620689655174e-05, + "loss": 1.6538, + "step": 1347 + }, + { + "epoch": 12.37, + "learning_rate": 3.871264367816092e-05, + "loss": 1.9019, + "step": 1348 + }, + { + "epoch": 12.38, + "learning_rate": 3.866666666666667e-05, + "loss": 1.826, + "step": 1349 + }, + { + "epoch": 12.39, + "learning_rate": 3.862068965517241e-05, + "loss": 1.7057, + "step": 1350 + }, + { + "epoch": 12.39, + "learning_rate": 3.857471264367816e-05, + "loss": 1.6004, + "step": 1351 + }, + { + "epoch": 12.4, + "learning_rate": 3.852873563218391e-05, + "loss": 2.0872, + "step": 1352 + }, + { + "epoch": 12.41, + "learning_rate": 3.848275862068966e-05, + "loss": 1.8605, + "step": 1353 + }, + { + "epoch": 12.42, + "learning_rate": 3.8436781609195405e-05, + "loss": 1.8164, + "step": 1354 + }, + { + "epoch": 12.43, + "learning_rate": 3.839080459770115e-05, + "loss": 1.6991, + "step": 1355 + }, + { + "epoch": 12.44, + "learning_rate": 3.83448275862069e-05, + "loss": 1.604, + "step": 1356 + }, + { + "epoch": 12.45, + "learning_rate": 3.8298850574712644e-05, + "loss": 2.5076, + "step": 1357 + }, + { + "epoch": 12.46, + "learning_rate": 3.82528735632184e-05, + "loss": 1.7762, + "step": 1358 + }, + { + "epoch": 12.47, + "learning_rate": 3.8206896551724144e-05, + "loss": 2.0272, + "step": 1359 + }, + { + "epoch": 12.48, + "learning_rate": 3.816091954022989e-05, + "loss": 1.6501, + "step": 1360 + }, + { + "epoch": 12.49, + "learning_rate": 3.8114942528735636e-05, + "loss": 1.6751, + "step": 1361 + }, + { + "epoch": 12.5, + "learning_rate": 3.8068965517241376e-05, + "loss": 2.2643, + "step": 1362 + }, + { + "epoch": 12.5, + "learning_rate": 3.802298850574713e-05, + "loss": 2.0036, + "step": 1363 + }, + { + "epoch": 12.51, + "learning_rate": 3.7977011494252875e-05, + "loss": 1.5226, + "step": 1364 + }, + { + "epoch": 12.52, + "learning_rate": 3.793103448275862e-05, + "loss": 1.6284, + "step": 1365 + }, + { + "epoch": 12.53, + "learning_rate": 3.788505747126437e-05, + "loss": 1.5311, + "step": 1366 + }, + { + "epoch": 12.54, + "learning_rate": 3.7839080459770114e-05, + "loss": 1.7964, + "step": 1367 + }, + { + "epoch": 12.55, + "learning_rate": 3.779310344827586e-05, + "loss": 2.0977, + "step": 1368 + }, + { + "epoch": 12.56, + "learning_rate": 3.774712643678161e-05, + "loss": 1.9036, + "step": 1369 + }, + { + "epoch": 12.57, + "learning_rate": 3.770114942528736e-05, + "loss": 1.742, + "step": 1370 + }, + { + "epoch": 12.58, + "learning_rate": 3.7655172413793106e-05, + "loss": 2.2972, + "step": 1371 + }, + { + "epoch": 12.59, + "learning_rate": 3.760919540229885e-05, + "loss": 1.6639, + "step": 1372 + }, + { + "epoch": 12.6, + "learning_rate": 3.75632183908046e-05, + "loss": 1.5106, + "step": 1373 + }, + { + "epoch": 12.61, + "learning_rate": 3.7517241379310345e-05, + "loss": 1.6445, + "step": 1374 + }, + { + "epoch": 12.61, + "learning_rate": 3.747126436781609e-05, + "loss": 1.7145, + "step": 1375 + }, + { + "epoch": 12.62, + "learning_rate": 3.7425287356321845e-05, + "loss": 1.4827, + "step": 1376 + }, + { + "epoch": 12.63, + "learning_rate": 3.737931034482759e-05, + "loss": 1.585, + "step": 1377 + }, + { + "epoch": 12.64, + "learning_rate": 3.733333333333334e-05, + "loss": 2.2886, + "step": 1378 + }, + { + "epoch": 12.65, + "learning_rate": 3.7287356321839084e-05, + "loss": 1.6084, + "step": 1379 + }, + { + "epoch": 12.66, + "learning_rate": 3.724137931034483e-05, + "loss": 2.1146, + "step": 1380 + }, + { + "epoch": 12.67, + "learning_rate": 3.7195402298850576e-05, + "loss": 1.7863, + "step": 1381 + }, + { + "epoch": 12.68, + "learning_rate": 3.714942528735632e-05, + "loss": 2.0809, + "step": 1382 + }, + { + "epoch": 12.69, + "learning_rate": 3.710344827586207e-05, + "loss": 2.2632, + "step": 1383 + }, + { + "epoch": 12.7, + "learning_rate": 3.7057471264367815e-05, + "loss": 1.4661, + "step": 1384 + }, + { + "epoch": 12.71, + "learning_rate": 3.701149425287356e-05, + "loss": 1.5457, + "step": 1385 + }, + { + "epoch": 12.72, + "learning_rate": 3.696551724137931e-05, + "loss": 1.5627, + "step": 1386 + }, + { + "epoch": 12.72, + "learning_rate": 3.691954022988506e-05, + "loss": 2.4417, + "step": 1387 + }, + { + "epoch": 12.73, + "learning_rate": 3.687356321839081e-05, + "loss": 2.0254, + "step": 1388 + }, + { + "epoch": 12.74, + "learning_rate": 3.6827586206896554e-05, + "loss": 1.7257, + "step": 1389 + }, + { + "epoch": 12.75, + "learning_rate": 3.67816091954023e-05, + "loss": 1.9139, + "step": 1390 + }, + { + "epoch": 12.76, + "learning_rate": 3.6735632183908046e-05, + "loss": 1.6035, + "step": 1391 + }, + { + "epoch": 12.77, + "learning_rate": 3.668965517241379e-05, + "loss": 2.0908, + "step": 1392 + }, + { + "epoch": 12.78, + "learning_rate": 3.6643678160919546e-05, + "loss": 1.943, + "step": 1393 + }, + { + "epoch": 12.79, + "learning_rate": 3.659770114942529e-05, + "loss": 1.6842, + "step": 1394 + }, + { + "epoch": 12.8, + "learning_rate": 3.655172413793104e-05, + "loss": 1.9285, + "step": 1395 + }, + { + "epoch": 12.81, + "learning_rate": 3.6505747126436785e-05, + "loss": 1.418, + "step": 1396 + }, + { + "epoch": 12.82, + "learning_rate": 3.645977011494253e-05, + "loss": 1.9443, + "step": 1397 + }, + { + "epoch": 12.83, + "learning_rate": 3.641379310344828e-05, + "loss": 2.0679, + "step": 1398 + }, + { + "epoch": 12.83, + "learning_rate": 3.6367816091954024e-05, + "loss": 1.5817, + "step": 1399 + }, + { + "epoch": 12.84, + "learning_rate": 3.632183908045978e-05, + "loss": 1.7067, + "step": 1400 + }, + { + "epoch": 12.85, + "learning_rate": 3.627586206896552e-05, + "loss": 1.9093, + "step": 1401 + }, + { + "epoch": 12.86, + "learning_rate": 3.622988505747126e-05, + "loss": 1.6146, + "step": 1402 + }, + { + "epoch": 12.87, + "learning_rate": 3.618390804597701e-05, + "loss": 1.7603, + "step": 1403 + }, + { + "epoch": 12.88, + "learning_rate": 3.6137931034482755e-05, + "loss": 1.9061, + "step": 1404 + }, + { + "epoch": 12.89, + "learning_rate": 3.609195402298851e-05, + "loss": 1.6337, + "step": 1405 + }, + { + "epoch": 12.9, + "learning_rate": 3.6045977011494255e-05, + "loss": 1.7829, + "step": 1406 + }, + { + "epoch": 12.91, + "learning_rate": 3.6e-05, + "loss": 1.6992, + "step": 1407 + }, + { + "epoch": 12.92, + "learning_rate": 3.595402298850575e-05, + "loss": 1.6491, + "step": 1408 + }, + { + "epoch": 12.93, + "learning_rate": 3.5908045977011494e-05, + "loss": 2.2817, + "step": 1409 + }, + { + "epoch": 12.94, + "learning_rate": 3.586206896551724e-05, + "loss": 1.6289, + "step": 1410 + }, + { + "epoch": 12.94, + "learning_rate": 3.581609195402299e-05, + "loss": 1.4462, + "step": 1411 + }, + { + "epoch": 12.95, + "learning_rate": 3.577011494252874e-05, + "loss": 1.6452, + "step": 1412 + }, + { + "epoch": 12.96, + "learning_rate": 3.5724137931034486e-05, + "loss": 2.1898, + "step": 1413 + }, + { + "epoch": 12.97, + "learning_rate": 3.567816091954023e-05, + "loss": 1.5272, + "step": 1414 + }, + { + "epoch": 12.98, + "learning_rate": 3.563218390804598e-05, + "loss": 1.6938, + "step": 1415 + }, + { + "epoch": 12.99, + "learning_rate": 3.5586206896551725e-05, + "loss": 1.8053, + "step": 1416 + }, + { + "epoch": 13.0, + "learning_rate": 3.554022988505748e-05, + "loss": 2.4396, + "step": 1417 + }, + { + "epoch": 13.0, + "eval_accuracy": 0.20121951219512196, + "eval_loss": 1.8816215991973877, + "eval_runtime": 13.7857, + "eval_samples_per_second": 11.896, + "eval_steps_per_second": 1.523, + "step": 1417 + }, + { + "epoch": 13.01, + "learning_rate": 3.5494252873563224e-05, + "loss": 1.5524, + "step": 1418 + }, + { + "epoch": 13.02, + "learning_rate": 3.544827586206897e-05, + "loss": 2.1268, + "step": 1419 + }, + { + "epoch": 13.03, + "learning_rate": 3.540229885057472e-05, + "loss": 1.5194, + "step": 1420 + }, + { + "epoch": 13.04, + "learning_rate": 3.535632183908046e-05, + "loss": 1.7894, + "step": 1421 + }, + { + "epoch": 13.05, + "learning_rate": 3.53103448275862e-05, + "loss": 1.6634, + "step": 1422 + }, + { + "epoch": 13.06, + "learning_rate": 3.5264367816091956e-05, + "loss": 1.8446, + "step": 1423 + }, + { + "epoch": 13.06, + "learning_rate": 3.52183908045977e-05, + "loss": 1.5461, + "step": 1424 + }, + { + "epoch": 13.07, + "learning_rate": 3.517241379310345e-05, + "loss": 1.7526, + "step": 1425 + }, + { + "epoch": 13.08, + "learning_rate": 3.5126436781609195e-05, + "loss": 1.721, + "step": 1426 + }, + { + "epoch": 13.09, + "learning_rate": 3.508045977011494e-05, + "loss": 1.7843, + "step": 1427 + }, + { + "epoch": 13.1, + "learning_rate": 3.503448275862069e-05, + "loss": 2.3265, + "step": 1428 + }, + { + "epoch": 13.11, + "learning_rate": 3.498850574712644e-05, + "loss": 1.6883, + "step": 1429 + }, + { + "epoch": 13.12, + "learning_rate": 3.4942528735632187e-05, + "loss": 2.46, + "step": 1430 + }, + { + "epoch": 13.13, + "learning_rate": 3.489655172413793e-05, + "loss": 2.0363, + "step": 1431 + }, + { + "epoch": 13.14, + "learning_rate": 3.485057471264368e-05, + "loss": 1.8346, + "step": 1432 + }, + { + "epoch": 13.15, + "learning_rate": 3.4804597701149426e-05, + "loss": 1.7017, + "step": 1433 + }, + { + "epoch": 13.16, + "learning_rate": 3.475862068965517e-05, + "loss": 1.6763, + "step": 1434 + }, + { + "epoch": 13.17, + "learning_rate": 3.4712643678160925e-05, + "loss": 1.6313, + "step": 1435 + }, + { + "epoch": 13.17, + "learning_rate": 3.466666666666667e-05, + "loss": 1.7451, + "step": 1436 + }, + { + "epoch": 13.18, + "learning_rate": 3.462068965517242e-05, + "loss": 2.2183, + "step": 1437 + }, + { + "epoch": 13.19, + "learning_rate": 3.4574712643678164e-05, + "loss": 1.6877, + "step": 1438 + }, + { + "epoch": 13.2, + "learning_rate": 3.452873563218391e-05, + "loss": 1.8016, + "step": 1439 + }, + { + "epoch": 13.21, + "learning_rate": 3.4482758620689657e-05, + "loss": 1.8276, + "step": 1440 + }, + { + "epoch": 13.22, + "learning_rate": 3.443678160919541e-05, + "loss": 1.8577, + "step": 1441 + }, + { + "epoch": 13.23, + "learning_rate": 3.439080459770115e-05, + "loss": 1.5483, + "step": 1442 + }, + { + "epoch": 13.24, + "learning_rate": 3.4344827586206896e-05, + "loss": 2.0301, + "step": 1443 + }, + { + "epoch": 13.25, + "learning_rate": 3.429885057471264e-05, + "loss": 2.16, + "step": 1444 + }, + { + "epoch": 13.26, + "learning_rate": 3.425287356321839e-05, + "loss": 1.7, + "step": 1445 + }, + { + "epoch": 13.27, + "learning_rate": 3.420689655172414e-05, + "loss": 2.2327, + "step": 1446 + }, + { + "epoch": 13.28, + "learning_rate": 3.416091954022989e-05, + "loss": 1.6562, + "step": 1447 + }, + { + "epoch": 13.28, + "learning_rate": 3.4114942528735634e-05, + "loss": 1.6733, + "step": 1448 + }, + { + "epoch": 13.29, + "learning_rate": 3.406896551724138e-05, + "loss": 1.6128, + "step": 1449 + }, + { + "epoch": 13.3, + "learning_rate": 3.4022988505747127e-05, + "loss": 1.9048, + "step": 1450 + }, + { + "epoch": 13.31, + "learning_rate": 3.397701149425287e-05, + "loss": 2.404, + "step": 1451 + }, + { + "epoch": 13.32, + "learning_rate": 3.393103448275862e-05, + "loss": 1.7293, + "step": 1452 + }, + { + "epoch": 13.33, + "learning_rate": 3.388505747126437e-05, + "loss": 1.7227, + "step": 1453 + }, + { + "epoch": 13.34, + "learning_rate": 3.383908045977012e-05, + "loss": 1.7477, + "step": 1454 + }, + { + "epoch": 13.35, + "learning_rate": 3.3793103448275865e-05, + "loss": 1.8203, + "step": 1455 + }, + { + "epoch": 13.36, + "learning_rate": 3.374712643678161e-05, + "loss": 1.5614, + "step": 1456 + }, + { + "epoch": 13.37, + "learning_rate": 3.370114942528736e-05, + "loss": 1.6593, + "step": 1457 + }, + { + "epoch": 13.38, + "learning_rate": 3.3655172413793104e-05, + "loss": 2.0024, + "step": 1458 + }, + { + "epoch": 13.39, + "learning_rate": 3.360919540229886e-05, + "loss": 1.7272, + "step": 1459 + }, + { + "epoch": 13.39, + "learning_rate": 3.35632183908046e-05, + "loss": 1.5952, + "step": 1460 + }, + { + "epoch": 13.4, + "learning_rate": 3.351724137931035e-05, + "loss": 2.1549, + "step": 1461 + }, + { + "epoch": 13.41, + "learning_rate": 3.347126436781609e-05, + "loss": 1.6263, + "step": 1462 + }, + { + "epoch": 13.42, + "learning_rate": 3.3425287356321836e-05, + "loss": 1.7546, + "step": 1463 + }, + { + "epoch": 13.43, + "learning_rate": 3.337931034482759e-05, + "loss": 1.6455, + "step": 1464 + }, + { + "epoch": 13.44, + "learning_rate": 3.3333333333333335e-05, + "loss": 1.4205, + "step": 1465 + }, + { + "epoch": 13.45, + "learning_rate": 3.328735632183908e-05, + "loss": 1.4761, + "step": 1466 + }, + { + "epoch": 13.46, + "learning_rate": 3.324137931034483e-05, + "loss": 1.5075, + "step": 1467 + }, + { + "epoch": 13.47, + "learning_rate": 3.3195402298850574e-05, + "loss": 1.8545, + "step": 1468 + }, + { + "epoch": 13.48, + "learning_rate": 3.314942528735632e-05, + "loss": 2.1361, + "step": 1469 + }, + { + "epoch": 13.49, + "learning_rate": 3.310344827586207e-05, + "loss": 2.0436, + "step": 1470 + }, + { + "epoch": 13.5, + "learning_rate": 3.305747126436782e-05, + "loss": 1.9092, + "step": 1471 + }, + { + "epoch": 13.5, + "learning_rate": 3.3011494252873566e-05, + "loss": 2.5329, + "step": 1472 + }, + { + "epoch": 13.51, + "learning_rate": 3.296551724137931e-05, + "loss": 1.5025, + "step": 1473 + }, + { + "epoch": 13.52, + "learning_rate": 3.291954022988506e-05, + "loss": 2.0181, + "step": 1474 + }, + { + "epoch": 13.53, + "learning_rate": 3.2873563218390805e-05, + "loss": 1.4078, + "step": 1475 + }, + { + "epoch": 13.54, + "learning_rate": 3.282758620689655e-05, + "loss": 1.759, + "step": 1476 + }, + { + "epoch": 13.55, + "learning_rate": 3.2781609195402304e-05, + "loss": 1.7231, + "step": 1477 + }, + { + "epoch": 13.56, + "learning_rate": 3.273563218390805e-05, + "loss": 2.1947, + "step": 1478 + }, + { + "epoch": 13.57, + "learning_rate": 3.26896551724138e-05, + "loss": 2.0677, + "step": 1479 + }, + { + "epoch": 13.58, + "learning_rate": 3.264367816091954e-05, + "loss": 2.6541, + "step": 1480 + }, + { + "epoch": 13.59, + "learning_rate": 3.259770114942529e-05, + "loss": 1.814, + "step": 1481 + }, + { + "epoch": 13.6, + "learning_rate": 3.2551724137931036e-05, + "loss": 1.6043, + "step": 1482 + }, + { + "epoch": 13.61, + "learning_rate": 3.250574712643678e-05, + "loss": 1.7979, + "step": 1483 + }, + { + "epoch": 13.61, + "learning_rate": 3.245977011494253e-05, + "loss": 1.6444, + "step": 1484 + }, + { + "epoch": 13.62, + "learning_rate": 3.2413793103448275e-05, + "loss": 2.0675, + "step": 1485 + }, + { + "epoch": 13.63, + "learning_rate": 3.236781609195402e-05, + "loss": 1.8717, + "step": 1486 + }, + { + "epoch": 13.64, + "learning_rate": 3.232183908045977e-05, + "loss": 1.7233, + "step": 1487 + }, + { + "epoch": 13.65, + "learning_rate": 3.227586206896552e-05, + "loss": 1.7165, + "step": 1488 + }, + { + "epoch": 13.66, + "learning_rate": 3.222988505747127e-05, + "loss": 1.8049, + "step": 1489 + }, + { + "epoch": 13.67, + "learning_rate": 3.218390804597701e-05, + "loss": 2.2933, + "step": 1490 + }, + { + "epoch": 13.68, + "learning_rate": 3.213793103448276e-05, + "loss": 1.7821, + "step": 1491 + }, + { + "epoch": 13.69, + "learning_rate": 3.2091954022988506e-05, + "loss": 1.5636, + "step": 1492 + }, + { + "epoch": 13.7, + "learning_rate": 3.204597701149425e-05, + "loss": 1.715, + "step": 1493 + }, + { + "epoch": 13.71, + "learning_rate": 3.2000000000000005e-05, + "loss": 1.5199, + "step": 1494 + }, + { + "epoch": 13.72, + "learning_rate": 3.195402298850575e-05, + "loss": 1.9632, + "step": 1495 + }, + { + "epoch": 13.72, + "learning_rate": 3.19080459770115e-05, + "loss": 2.112, + "step": 1496 + }, + { + "epoch": 13.73, + "learning_rate": 3.1862068965517244e-05, + "loss": 2.389, + "step": 1497 + }, + { + "epoch": 13.74, + "learning_rate": 3.181609195402299e-05, + "loss": 1.4465, + "step": 1498 + }, + { + "epoch": 13.75, + "learning_rate": 3.177011494252874e-05, + "loss": 1.5308, + "step": 1499 + }, + { + "epoch": 13.76, + "learning_rate": 3.172413793103448e-05, + "loss": 1.521, + "step": 1500 + }, + { + "epoch": 13.77, + "learning_rate": 3.1678160919540236e-05, + "loss": 1.4801, + "step": 1501 + }, + { + "epoch": 13.78, + "learning_rate": 3.1632183908045976e-05, + "loss": 1.6025, + "step": 1502 + }, + { + "epoch": 13.79, + "learning_rate": 3.158620689655172e-05, + "loss": 1.4998, + "step": 1503 + }, + { + "epoch": 13.8, + "learning_rate": 3.154022988505747e-05, + "loss": 1.5724, + "step": 1504 + }, + { + "epoch": 13.81, + "learning_rate": 3.1494252873563215e-05, + "loss": 1.6698, + "step": 1505 + }, + { + "epoch": 13.82, + "learning_rate": 3.144827586206897e-05, + "loss": 2.0186, + "step": 1506 + }, + { + "epoch": 13.83, + "learning_rate": 3.1402298850574714e-05, + "loss": 2.1341, + "step": 1507 + }, + { + "epoch": 13.83, + "learning_rate": 3.135632183908046e-05, + "loss": 3.1515, + "step": 1508 + }, + { + "epoch": 13.84, + "learning_rate": 3.131034482758621e-05, + "loss": 2.0454, + "step": 1509 + }, + { + "epoch": 13.85, + "learning_rate": 3.126436781609195e-05, + "loss": 2.2539, + "step": 1510 + }, + { + "epoch": 13.86, + "learning_rate": 3.12183908045977e-05, + "loss": 1.6053, + "step": 1511 + }, + { + "epoch": 13.87, + "learning_rate": 3.117241379310345e-05, + "loss": 2.0915, + "step": 1512 + }, + { + "epoch": 13.88, + "learning_rate": 3.11264367816092e-05, + "loss": 1.8654, + "step": 1513 + }, + { + "epoch": 13.89, + "learning_rate": 3.1080459770114945e-05, + "loss": 1.9774, + "step": 1514 + }, + { + "epoch": 13.9, + "learning_rate": 3.103448275862069e-05, + "loss": 2.1024, + "step": 1515 + }, + { + "epoch": 13.91, + "learning_rate": 3.098850574712644e-05, + "loss": 1.5114, + "step": 1516 + }, + { + "epoch": 13.92, + "learning_rate": 3.0942528735632184e-05, + "loss": 2.2142, + "step": 1517 + }, + { + "epoch": 13.93, + "learning_rate": 3.089655172413794e-05, + "loss": 1.6768, + "step": 1518 + }, + { + "epoch": 13.94, + "learning_rate": 3.0850574712643684e-05, + "loss": 2.1619, + "step": 1519 + }, + { + "epoch": 13.94, + "learning_rate": 3.080459770114943e-05, + "loss": 1.8649, + "step": 1520 + }, + { + "epoch": 13.95, + "learning_rate": 3.0758620689655176e-05, + "loss": 1.5361, + "step": 1521 + }, + { + "epoch": 13.96, + "learning_rate": 3.0712643678160916e-05, + "loss": 1.847, + "step": 1522 + }, + { + "epoch": 13.97, + "learning_rate": 3.066666666666667e-05, + "loss": 1.8208, + "step": 1523 + }, + { + "epoch": 13.98, + "learning_rate": 3.0620689655172415e-05, + "loss": 1.9235, + "step": 1524 + }, + { + "epoch": 13.99, + "learning_rate": 3.057471264367816e-05, + "loss": 1.7407, + "step": 1525 + }, + { + "epoch": 14.0, + "learning_rate": 3.052873563218391e-05, + "loss": 1.8643, + "step": 1526 + }, + { + "epoch": 14.0, + "eval_accuracy": 0.20121951219512196, + "eval_loss": 1.8826814889907837, + "eval_runtime": 13.751, + "eval_samples_per_second": 11.926, + "eval_steps_per_second": 1.527, + "step": 1526 + }, + { + "epoch": 14.01, + "learning_rate": 3.0482758620689654e-05, + "loss": 1.9652, + "step": 1527 + }, + { + "epoch": 14.02, + "learning_rate": 3.0436781609195404e-05, + "loss": 1.4541, + "step": 1528 + }, + { + "epoch": 14.03, + "learning_rate": 3.039080459770115e-05, + "loss": 2.0109, + "step": 1529 + }, + { + "epoch": 14.04, + "learning_rate": 3.0344827586206897e-05, + "loss": 2.3494, + "step": 1530 + }, + { + "epoch": 14.05, + "learning_rate": 3.0298850574712646e-05, + "loss": 1.7708, + "step": 1531 + }, + { + "epoch": 14.06, + "learning_rate": 3.0252873563218393e-05, + "loss": 2.221, + "step": 1532 + }, + { + "epoch": 14.06, + "learning_rate": 3.020689655172414e-05, + "loss": 1.5771, + "step": 1533 + }, + { + "epoch": 14.07, + "learning_rate": 3.016091954022989e-05, + "loss": 1.7401, + "step": 1534 + }, + { + "epoch": 14.08, + "learning_rate": 3.0114942528735635e-05, + "loss": 1.8612, + "step": 1535 + }, + { + "epoch": 14.09, + "learning_rate": 3.006896551724138e-05, + "loss": 1.8592, + "step": 1536 + }, + { + "epoch": 14.1, + "learning_rate": 3.002298850574713e-05, + "loss": 1.5413, + "step": 1537 + }, + { + "epoch": 14.11, + "learning_rate": 2.9977011494252877e-05, + "loss": 1.8957, + "step": 1538 + }, + { + "epoch": 14.12, + "learning_rate": 2.9931034482758624e-05, + "loss": 1.6045, + "step": 1539 + }, + { + "epoch": 14.13, + "learning_rate": 2.988505747126437e-05, + "loss": 2.7238, + "step": 1540 + }, + { + "epoch": 14.14, + "learning_rate": 2.983908045977012e-05, + "loss": 1.7129, + "step": 1541 + }, + { + "epoch": 14.15, + "learning_rate": 2.979310344827586e-05, + "loss": 2.2707, + "step": 1542 + }, + { + "epoch": 14.16, + "learning_rate": 2.974712643678161e-05, + "loss": 1.6042, + "step": 1543 + }, + { + "epoch": 14.17, + "learning_rate": 2.9701149425287355e-05, + "loss": 1.7389, + "step": 1544 + }, + { + "epoch": 14.17, + "learning_rate": 2.96551724137931e-05, + "loss": 1.5934, + "step": 1545 + }, + { + "epoch": 14.18, + "learning_rate": 2.960919540229885e-05, + "loss": 1.7236, + "step": 1546 + }, + { + "epoch": 14.19, + "learning_rate": 2.9563218390804598e-05, + "loss": 1.7969, + "step": 1547 + }, + { + "epoch": 14.2, + "learning_rate": 2.9517241379310344e-05, + "loss": 1.7384, + "step": 1548 + }, + { + "epoch": 14.21, + "learning_rate": 2.9471264367816094e-05, + "loss": 1.4736, + "step": 1549 + }, + { + "epoch": 14.22, + "learning_rate": 2.942528735632184e-05, + "loss": 2.0887, + "step": 1550 + }, + { + "epoch": 14.23, + "learning_rate": 2.9379310344827586e-05, + "loss": 1.7804, + "step": 1551 + }, + { + "epoch": 14.24, + "learning_rate": 2.9333333333333336e-05, + "loss": 1.7489, + "step": 1552 + }, + { + "epoch": 14.25, + "learning_rate": 2.9287356321839082e-05, + "loss": 1.5519, + "step": 1553 + }, + { + "epoch": 14.26, + "learning_rate": 2.924137931034483e-05, + "loss": 1.6989, + "step": 1554 + }, + { + "epoch": 14.27, + "learning_rate": 2.919540229885058e-05, + "loss": 2.1844, + "step": 1555 + }, + { + "epoch": 14.28, + "learning_rate": 2.9149425287356325e-05, + "loss": 1.9168, + "step": 1556 + }, + { + "epoch": 14.28, + "learning_rate": 2.910344827586207e-05, + "loss": 2.4704, + "step": 1557 + }, + { + "epoch": 14.29, + "learning_rate": 2.905747126436782e-05, + "loss": 1.7443, + "step": 1558 + }, + { + "epoch": 14.3, + "learning_rate": 2.9011494252873567e-05, + "loss": 1.9082, + "step": 1559 + }, + { + "epoch": 14.31, + "learning_rate": 2.8965517241379313e-05, + "loss": 1.634, + "step": 1560 + }, + { + "epoch": 14.32, + "learning_rate": 2.8919540229885063e-05, + "loss": 1.7171, + "step": 1561 + }, + { + "epoch": 14.33, + "learning_rate": 2.8873563218390803e-05, + "loss": 1.5677, + "step": 1562 + }, + { + "epoch": 14.34, + "learning_rate": 2.8827586206896552e-05, + "loss": 1.5802, + "step": 1563 + }, + { + "epoch": 14.35, + "learning_rate": 2.87816091954023e-05, + "loss": 1.7687, + "step": 1564 + }, + { + "epoch": 14.36, + "learning_rate": 2.8735632183908045e-05, + "loss": 1.5824, + "step": 1565 + }, + { + "epoch": 14.37, + "learning_rate": 2.8689655172413795e-05, + "loss": 2.3631, + "step": 1566 + }, + { + "epoch": 14.38, + "learning_rate": 2.864367816091954e-05, + "loss": 1.8706, + "step": 1567 + }, + { + "epoch": 14.39, + "learning_rate": 2.8597701149425287e-05, + "loss": 1.8057, + "step": 1568 + }, + { + "epoch": 14.39, + "learning_rate": 2.8551724137931034e-05, + "loss": 1.9193, + "step": 1569 + }, + { + "epoch": 14.4, + "learning_rate": 2.8505747126436783e-05, + "loss": 1.606, + "step": 1570 + }, + { + "epoch": 14.41, + "learning_rate": 2.845977011494253e-05, + "loss": 2.0651, + "step": 1571 + }, + { + "epoch": 14.42, + "learning_rate": 2.8413793103448276e-05, + "loss": 1.7275, + "step": 1572 + }, + { + "epoch": 14.43, + "learning_rate": 2.8367816091954026e-05, + "loss": 1.8053, + "step": 1573 + }, + { + "epoch": 14.44, + "learning_rate": 2.8321839080459772e-05, + "loss": 1.6084, + "step": 1574 + }, + { + "epoch": 14.45, + "learning_rate": 2.8275862068965518e-05, + "loss": 2.0034, + "step": 1575 + }, + { + "epoch": 14.46, + "learning_rate": 2.8229885057471268e-05, + "loss": 1.6413, + "step": 1576 + }, + { + "epoch": 14.47, + "learning_rate": 2.8183908045977014e-05, + "loss": 2.0604, + "step": 1577 + }, + { + "epoch": 14.48, + "learning_rate": 2.813793103448276e-05, + "loss": 1.7454, + "step": 1578 + }, + { + "epoch": 14.49, + "learning_rate": 2.809195402298851e-05, + "loss": 1.7236, + "step": 1579 + }, + { + "epoch": 14.5, + "learning_rate": 2.8045977011494257e-05, + "loss": 1.4935, + "step": 1580 + }, + { + "epoch": 14.5, + "learning_rate": 2.8000000000000003e-05, + "loss": 2.1271, + "step": 1581 + }, + { + "epoch": 14.51, + "learning_rate": 2.7954022988505746e-05, + "loss": 1.6323, + "step": 1582 + }, + { + "epoch": 14.52, + "learning_rate": 2.7908045977011492e-05, + "loss": 1.4438, + "step": 1583 + }, + { + "epoch": 14.53, + "learning_rate": 2.7862068965517242e-05, + "loss": 1.8148, + "step": 1584 + }, + { + "epoch": 14.54, + "learning_rate": 2.7816091954022988e-05, + "loss": 2.1118, + "step": 1585 + }, + { + "epoch": 14.55, + "learning_rate": 2.7770114942528735e-05, + "loss": 1.7695, + "step": 1586 + }, + { + "epoch": 14.56, + "learning_rate": 2.7724137931034484e-05, + "loss": 1.5965, + "step": 1587 + }, + { + "epoch": 14.57, + "learning_rate": 2.767816091954023e-05, + "loss": 1.9694, + "step": 1588 + }, + { + "epoch": 14.58, + "learning_rate": 2.7632183908045977e-05, + "loss": 1.592, + "step": 1589 + }, + { + "epoch": 14.59, + "learning_rate": 2.7586206896551727e-05, + "loss": 1.6727, + "step": 1590 + }, + { + "epoch": 14.6, + "learning_rate": 2.7540229885057473e-05, + "loss": 1.5648, + "step": 1591 + }, + { + "epoch": 14.61, + "learning_rate": 2.749425287356322e-05, + "loss": 1.6624, + "step": 1592 + }, + { + "epoch": 14.61, + "learning_rate": 2.744827586206897e-05, + "loss": 2.1903, + "step": 1593 + }, + { + "epoch": 14.62, + "learning_rate": 2.7402298850574715e-05, + "loss": 1.6885, + "step": 1594 + }, + { + "epoch": 14.63, + "learning_rate": 2.735632183908046e-05, + "loss": 2.098, + "step": 1595 + }, + { + "epoch": 14.64, + "learning_rate": 2.7310344827586208e-05, + "loss": 1.3237, + "step": 1596 + }, + { + "epoch": 14.65, + "learning_rate": 2.7264367816091958e-05, + "loss": 1.7851, + "step": 1597 + }, + { + "epoch": 14.66, + "learning_rate": 2.7218390804597704e-05, + "loss": 1.6541, + "step": 1598 + }, + { + "epoch": 14.67, + "learning_rate": 2.717241379310345e-05, + "loss": 1.473, + "step": 1599 + }, + { + "epoch": 14.68, + "learning_rate": 2.71264367816092e-05, + "loss": 2.3848, + "step": 1600 + }, + { + "epoch": 14.69, + "learning_rate": 2.7080459770114946e-05, + "loss": 1.7733, + "step": 1601 + }, + { + "epoch": 14.7, + "learning_rate": 2.703448275862069e-05, + "loss": 1.372, + "step": 1602 + }, + { + "epoch": 14.71, + "learning_rate": 2.6988505747126436e-05, + "loss": 1.8623, + "step": 1603 + }, + { + "epoch": 14.72, + "learning_rate": 2.6942528735632182e-05, + "loss": 1.9893, + "step": 1604 + }, + { + "epoch": 14.72, + "learning_rate": 2.689655172413793e-05, + "loss": 1.6007, + "step": 1605 + }, + { + "epoch": 14.73, + "learning_rate": 2.6850574712643678e-05, + "loss": 1.9106, + "step": 1606 + }, + { + "epoch": 14.74, + "learning_rate": 2.6804597701149424e-05, + "loss": 1.8382, + "step": 1607 + }, + { + "epoch": 14.75, + "learning_rate": 2.6758620689655174e-05, + "loss": 1.6369, + "step": 1608 + }, + { + "epoch": 14.76, + "learning_rate": 2.671264367816092e-05, + "loss": 1.8024, + "step": 1609 + }, + { + "epoch": 14.77, + "learning_rate": 2.6666666666666667e-05, + "loss": 1.889, + "step": 1610 + }, + { + "epoch": 14.78, + "learning_rate": 2.6620689655172416e-05, + "loss": 1.5881, + "step": 1611 + }, + { + "epoch": 14.79, + "learning_rate": 2.6574712643678163e-05, + "loss": 2.0518, + "step": 1612 + }, + { + "epoch": 14.8, + "learning_rate": 2.652873563218391e-05, + "loss": 1.9819, + "step": 1613 + }, + { + "epoch": 14.81, + "learning_rate": 2.648275862068966e-05, + "loss": 2.3205, + "step": 1614 + }, + { + "epoch": 14.82, + "learning_rate": 2.6436781609195405e-05, + "loss": 1.7902, + "step": 1615 + }, + { + "epoch": 14.83, + "learning_rate": 2.639080459770115e-05, + "loss": 1.835, + "step": 1616 + }, + { + "epoch": 14.83, + "learning_rate": 2.63448275862069e-05, + "loss": 1.6623, + "step": 1617 + }, + { + "epoch": 14.84, + "learning_rate": 2.6298850574712647e-05, + "loss": 1.5251, + "step": 1618 + }, + { + "epoch": 14.85, + "learning_rate": 2.6252873563218394e-05, + "loss": 2.318, + "step": 1619 + }, + { + "epoch": 14.86, + "learning_rate": 2.620689655172414e-05, + "loss": 2.1434, + "step": 1620 + }, + { + "epoch": 14.87, + "learning_rate": 2.616091954022989e-05, + "loss": 1.6634, + "step": 1621 + }, + { + "epoch": 14.88, + "learning_rate": 2.611494252873563e-05, + "loss": 1.9053, + "step": 1622 + }, + { + "epoch": 14.89, + "learning_rate": 2.606896551724138e-05, + "loss": 1.6914, + "step": 1623 + }, + { + "epoch": 14.9, + "learning_rate": 2.6022988505747125e-05, + "loss": 1.9811, + "step": 1624 + }, + { + "epoch": 14.91, + "learning_rate": 2.597701149425287e-05, + "loss": 2.021, + "step": 1625 + }, + { + "epoch": 14.92, + "learning_rate": 2.593103448275862e-05, + "loss": 1.9419, + "step": 1626 + }, + { + "epoch": 14.93, + "learning_rate": 2.5885057471264368e-05, + "loss": 1.5719, + "step": 1627 + }, + { + "epoch": 14.94, + "learning_rate": 2.5839080459770114e-05, + "loss": 1.7918, + "step": 1628 + }, + { + "epoch": 14.94, + "learning_rate": 2.5793103448275864e-05, + "loss": 1.9688, + "step": 1629 + }, + { + "epoch": 14.95, + "learning_rate": 2.574712643678161e-05, + "loss": 1.5233, + "step": 1630 + }, + { + "epoch": 14.96, + "learning_rate": 2.5701149425287356e-05, + "loss": 1.895, + "step": 1631 + }, + { + "epoch": 14.97, + "learning_rate": 2.5655172413793106e-05, + "loss": 2.812, + "step": 1632 + }, + { + "epoch": 14.98, + "learning_rate": 2.5609195402298852e-05, + "loss": 1.9437, + "step": 1633 + }, + { + "epoch": 14.99, + "learning_rate": 2.55632183908046e-05, + "loss": 2.0636, + "step": 1634 + }, + { + "epoch": 15.0, + "learning_rate": 2.551724137931035e-05, + "loss": 1.7271, + "step": 1635 + }, + { + "epoch": 15.0, + "eval_accuracy": 0.22560975609756098, + "eval_loss": 1.8843815326690674, + "eval_runtime": 13.8081, + "eval_samples_per_second": 11.877, + "eval_steps_per_second": 1.521, + "step": 1635 + }, + { + "epoch": 15.01, + "learning_rate": 2.5471264367816095e-05, + "loss": 1.7332, + "step": 1636 + }, + { + "epoch": 15.02, + "learning_rate": 2.542528735632184e-05, + "loss": 1.7082, + "step": 1637 + }, + { + "epoch": 15.03, + "learning_rate": 2.537931034482759e-05, + "loss": 1.668, + "step": 1638 + }, + { + "epoch": 15.04, + "learning_rate": 2.5333333333333337e-05, + "loss": 1.6359, + "step": 1639 + }, + { + "epoch": 15.05, + "learning_rate": 2.5287356321839083e-05, + "loss": 2.9172, + "step": 1640 + }, + { + "epoch": 15.06, + "learning_rate": 2.5241379310344833e-05, + "loss": 1.8018, + "step": 1641 + }, + { + "epoch": 15.06, + "learning_rate": 2.5195402298850573e-05, + "loss": 1.8132, + "step": 1642 + }, + { + "epoch": 15.07, + "learning_rate": 2.5149425287356322e-05, + "loss": 1.6418, + "step": 1643 + }, + { + "epoch": 15.08, + "learning_rate": 2.510344827586207e-05, + "loss": 1.9818, + "step": 1644 + }, + { + "epoch": 15.09, + "learning_rate": 2.5057471264367815e-05, + "loss": 1.5732, + "step": 1645 + }, + { + "epoch": 15.1, + "learning_rate": 2.5011494252873565e-05, + "loss": 2.1366, + "step": 1646 + }, + { + "epoch": 15.11, + "learning_rate": 2.496551724137931e-05, + "loss": 1.7344, + "step": 1647 + }, + { + "epoch": 15.12, + "learning_rate": 2.4919540229885057e-05, + "loss": 1.8201, + "step": 1648 + }, + { + "epoch": 15.13, + "learning_rate": 2.4873563218390804e-05, + "loss": 1.6927, + "step": 1649 + }, + { + "epoch": 15.14, + "learning_rate": 2.4827586206896553e-05, + "loss": 1.6735, + "step": 1650 + }, + { + "epoch": 15.15, + "learning_rate": 2.47816091954023e-05, + "loss": 2.34, + "step": 1651 + }, + { + "epoch": 15.16, + "learning_rate": 2.4735632183908046e-05, + "loss": 1.4194, + "step": 1652 + }, + { + "epoch": 15.17, + "learning_rate": 2.4689655172413796e-05, + "loss": 1.8441, + "step": 1653 + }, + { + "epoch": 15.17, + "learning_rate": 2.4643678160919542e-05, + "loss": 1.9115, + "step": 1654 + }, + { + "epoch": 15.18, + "learning_rate": 2.4597701149425288e-05, + "loss": 1.6226, + "step": 1655 + }, + { + "epoch": 15.19, + "learning_rate": 2.4551724137931038e-05, + "loss": 1.6839, + "step": 1656 + }, + { + "epoch": 15.2, + "learning_rate": 2.450574712643678e-05, + "loss": 2.2098, + "step": 1657 + }, + { + "epoch": 15.21, + "learning_rate": 2.445977011494253e-05, + "loss": 2.1073, + "step": 1658 + }, + { + "epoch": 15.22, + "learning_rate": 2.4413793103448277e-05, + "loss": 1.2534, + "step": 1659 + }, + { + "epoch": 15.23, + "learning_rate": 2.4367816091954023e-05, + "loss": 1.6341, + "step": 1660 + }, + { + "epoch": 15.24, + "learning_rate": 2.432183908045977e-05, + "loss": 1.4996, + "step": 1661 + }, + { + "epoch": 15.25, + "learning_rate": 2.427586206896552e-05, + "loss": 1.911, + "step": 1662 + }, + { + "epoch": 15.26, + "learning_rate": 2.4229885057471266e-05, + "loss": 1.7266, + "step": 1663 + }, + { + "epoch": 15.27, + "learning_rate": 2.4183908045977012e-05, + "loss": 1.8965, + "step": 1664 + }, + { + "epoch": 15.28, + "learning_rate": 2.413793103448276e-05, + "loss": 1.6419, + "step": 1665 + }, + { + "epoch": 15.28, + "learning_rate": 2.4091954022988508e-05, + "loss": 1.6712, + "step": 1666 + }, + { + "epoch": 15.29, + "learning_rate": 2.4045977011494254e-05, + "loss": 1.4689, + "step": 1667 + }, + { + "epoch": 15.3, + "learning_rate": 2.4e-05, + "loss": 1.8421, + "step": 1668 + }, + { + "epoch": 15.31, + "learning_rate": 2.3954022988505747e-05, + "loss": 1.633, + "step": 1669 + }, + { + "epoch": 15.32, + "learning_rate": 2.3908045977011497e-05, + "loss": 1.7638, + "step": 1670 + }, + { + "epoch": 15.33, + "learning_rate": 2.3862068965517243e-05, + "loss": 1.7814, + "step": 1671 + }, + { + "epoch": 15.34, + "learning_rate": 2.381609195402299e-05, + "loss": 1.7199, + "step": 1672 + }, + { + "epoch": 15.35, + "learning_rate": 2.3770114942528736e-05, + "loss": 1.7913, + "step": 1673 + }, + { + "epoch": 15.36, + "learning_rate": 2.3724137931034485e-05, + "loss": 1.9087, + "step": 1674 + }, + { + "epoch": 15.37, + "learning_rate": 2.367816091954023e-05, + "loss": 1.5482, + "step": 1675 + }, + { + "epoch": 15.38, + "learning_rate": 2.3632183908045978e-05, + "loss": 1.8262, + "step": 1676 + }, + { + "epoch": 15.39, + "learning_rate": 2.3586206896551724e-05, + "loss": 1.9912, + "step": 1677 + }, + { + "epoch": 15.39, + "learning_rate": 2.354022988505747e-05, + "loss": 1.6935, + "step": 1678 + }, + { + "epoch": 15.4, + "learning_rate": 2.349425287356322e-05, + "loss": 1.5713, + "step": 1679 + }, + { + "epoch": 15.41, + "learning_rate": 2.3448275862068967e-05, + "loss": 1.6357, + "step": 1680 + }, + { + "epoch": 15.42, + "learning_rate": 2.3402298850574713e-05, + "loss": 2.0249, + "step": 1681 + }, + { + "epoch": 15.43, + "learning_rate": 2.3356321839080463e-05, + "loss": 2.0511, + "step": 1682 + }, + { + "epoch": 15.44, + "learning_rate": 2.331034482758621e-05, + "loss": 1.7285, + "step": 1683 + }, + { + "epoch": 15.45, + "learning_rate": 2.3264367816091955e-05, + "loss": 1.62, + "step": 1684 + }, + { + "epoch": 15.46, + "learning_rate": 2.3218390804597705e-05, + "loss": 1.7941, + "step": 1685 + }, + { + "epoch": 15.47, + "learning_rate": 2.317241379310345e-05, + "loss": 1.976, + "step": 1686 + }, + { + "epoch": 15.48, + "learning_rate": 2.3126436781609194e-05, + "loss": 1.4738, + "step": 1687 + }, + { + "epoch": 15.49, + "learning_rate": 2.3080459770114944e-05, + "loss": 1.7324, + "step": 1688 + }, + { + "epoch": 15.5, + "learning_rate": 2.303448275862069e-05, + "loss": 1.766, + "step": 1689 + }, + { + "epoch": 15.5, + "learning_rate": 2.2988505747126437e-05, + "loss": 1.7443, + "step": 1690 + }, + { + "epoch": 15.51, + "learning_rate": 2.2942528735632186e-05, + "loss": 1.6686, + "step": 1691 + }, + { + "epoch": 15.52, + "learning_rate": 2.2896551724137933e-05, + "loss": 1.946, + "step": 1692 + }, + { + "epoch": 15.53, + "learning_rate": 2.285057471264368e-05, + "loss": 1.5653, + "step": 1693 + }, + { + "epoch": 15.54, + "learning_rate": 2.280459770114943e-05, + "loss": 1.6733, + "step": 1694 + }, + { + "epoch": 15.55, + "learning_rate": 2.2758620689655175e-05, + "loss": 1.4906, + "step": 1695 + }, + { + "epoch": 15.56, + "learning_rate": 2.271264367816092e-05, + "loss": 1.7023, + "step": 1696 + }, + { + "epoch": 15.57, + "learning_rate": 2.2666666666666668e-05, + "loss": 1.7244, + "step": 1697 + }, + { + "epoch": 15.58, + "learning_rate": 2.2620689655172414e-05, + "loss": 1.5703, + "step": 1698 + }, + { + "epoch": 15.59, + "learning_rate": 2.257471264367816e-05, + "loss": 1.8245, + "step": 1699 + }, + { + "epoch": 15.6, + "learning_rate": 2.252873563218391e-05, + "loss": 1.563, + "step": 1700 + }, + { + "epoch": 15.61, + "learning_rate": 2.2482758620689656e-05, + "loss": 1.7417, + "step": 1701 + }, + { + "epoch": 15.61, + "learning_rate": 2.2436781609195403e-05, + "loss": 1.9163, + "step": 1702 + }, + { + "epoch": 15.62, + "learning_rate": 2.2390804597701152e-05, + "loss": 1.8657, + "step": 1703 + }, + { + "epoch": 15.63, + "learning_rate": 2.23448275862069e-05, + "loss": 1.6245, + "step": 1704 + }, + { + "epoch": 15.64, + "learning_rate": 2.2298850574712645e-05, + "loss": 1.8483, + "step": 1705 + }, + { + "epoch": 15.65, + "learning_rate": 2.2252873563218395e-05, + "loss": 1.9165, + "step": 1706 + }, + { + "epoch": 15.66, + "learning_rate": 2.2206896551724138e-05, + "loss": 1.6232, + "step": 1707 + }, + { + "epoch": 15.67, + "learning_rate": 2.2160919540229884e-05, + "loss": 1.7046, + "step": 1708 + }, + { + "epoch": 15.68, + "learning_rate": 2.2114942528735634e-05, + "loss": 1.6408, + "step": 1709 + }, + { + "epoch": 15.69, + "learning_rate": 2.206896551724138e-05, + "loss": 2.2756, + "step": 1710 + }, + { + "epoch": 15.7, + "learning_rate": 2.2022988505747126e-05, + "loss": 2.1585, + "step": 1711 + }, + { + "epoch": 15.71, + "learning_rate": 2.1977011494252876e-05, + "loss": 1.5264, + "step": 1712 + }, + { + "epoch": 15.72, + "learning_rate": 2.1931034482758622e-05, + "loss": 1.7729, + "step": 1713 + }, + { + "epoch": 15.72, + "learning_rate": 2.188505747126437e-05, + "loss": 2.6007, + "step": 1714 + }, + { + "epoch": 15.73, + "learning_rate": 2.183908045977012e-05, + "loss": 1.7759, + "step": 1715 + }, + { + "epoch": 15.74, + "learning_rate": 2.1793103448275865e-05, + "loss": 1.7961, + "step": 1716 + }, + { + "epoch": 15.75, + "learning_rate": 2.1747126436781608e-05, + "loss": 2.3807, + "step": 1717 + }, + { + "epoch": 15.76, + "learning_rate": 2.1701149425287357e-05, + "loss": 2.4976, + "step": 1718 + }, + { + "epoch": 15.77, + "learning_rate": 2.1655172413793104e-05, + "loss": 1.8289, + "step": 1719 + }, + { + "epoch": 15.78, + "learning_rate": 2.160919540229885e-05, + "loss": 1.8258, + "step": 1720 + }, + { + "epoch": 15.79, + "learning_rate": 2.15632183908046e-05, + "loss": 1.834, + "step": 1721 + }, + { + "epoch": 15.8, + "learning_rate": 2.1517241379310346e-05, + "loss": 1.8302, + "step": 1722 + }, + { + "epoch": 15.81, + "learning_rate": 2.1471264367816092e-05, + "loss": 1.7635, + "step": 1723 + }, + { + "epoch": 15.82, + "learning_rate": 2.1425287356321842e-05, + "loss": 1.4315, + "step": 1724 + }, + { + "epoch": 15.83, + "learning_rate": 2.137931034482759e-05, + "loss": 2.0212, + "step": 1725 + }, + { + "epoch": 15.83, + "learning_rate": 2.1333333333333335e-05, + "loss": 1.7803, + "step": 1726 + }, + { + "epoch": 15.84, + "learning_rate": 2.128735632183908e-05, + "loss": 1.4383, + "step": 1727 + }, + { + "epoch": 15.85, + "learning_rate": 2.1241379310344827e-05, + "loss": 2.4782, + "step": 1728 + }, + { + "epoch": 15.86, + "learning_rate": 2.1195402298850574e-05, + "loss": 2.0928, + "step": 1729 + }, + { + "epoch": 15.87, + "learning_rate": 2.1149425287356323e-05, + "loss": 1.6455, + "step": 1730 + }, + { + "epoch": 15.88, + "learning_rate": 2.110344827586207e-05, + "loss": 1.9884, + "step": 1731 + }, + { + "epoch": 15.89, + "learning_rate": 2.1057471264367816e-05, + "loss": 1.6217, + "step": 1732 + }, + { + "epoch": 15.9, + "learning_rate": 2.1011494252873566e-05, + "loss": 1.7039, + "step": 1733 + }, + { + "epoch": 15.91, + "learning_rate": 2.0965517241379312e-05, + "loss": 1.7773, + "step": 1734 + }, + { + "epoch": 15.92, + "learning_rate": 2.0919540229885058e-05, + "loss": 2.4419, + "step": 1735 + }, + { + "epoch": 15.93, + "learning_rate": 2.0873563218390808e-05, + "loss": 2.2485, + "step": 1736 + }, + { + "epoch": 15.94, + "learning_rate": 2.082758620689655e-05, + "loss": 2.0182, + "step": 1737 + }, + { + "epoch": 15.94, + "learning_rate": 2.07816091954023e-05, + "loss": 1.9006, + "step": 1738 + }, + { + "epoch": 15.95, + "learning_rate": 2.0735632183908047e-05, + "loss": 2.1702, + "step": 1739 + }, + { + "epoch": 15.96, + "learning_rate": 2.0689655172413793e-05, + "loss": 2.0101, + "step": 1740 + }, + { + "epoch": 15.97, + "learning_rate": 2.064367816091954e-05, + "loss": 1.9912, + "step": 1741 + }, + { + "epoch": 15.98, + "learning_rate": 2.059770114942529e-05, + "loss": 1.7266, + "step": 1742 + }, + { + "epoch": 15.99, + "learning_rate": 2.0551724137931036e-05, + "loss": 1.7074, + "step": 1743 + }, + { + "epoch": 16.0, + "learning_rate": 2.0505747126436782e-05, + "loss": 1.851, + "step": 1744 + }, + { + "epoch": 16.0, + "eval_accuracy": 0.21341463414634146, + "eval_loss": 1.8719631433486938, + "eval_runtime": 13.8073, + "eval_samples_per_second": 11.878, + "eval_steps_per_second": 1.521, + "step": 1744 + }, + { + "epoch": 16.01, + "learning_rate": 2.045977011494253e-05, + "loss": 2.4538, + "step": 1745 + }, + { + "epoch": 16.02, + "learning_rate": 2.0413793103448278e-05, + "loss": 1.5378, + "step": 1746 + }, + { + "epoch": 16.03, + "learning_rate": 2.0367816091954024e-05, + "loss": 1.6201, + "step": 1747 + }, + { + "epoch": 16.04, + "learning_rate": 2.032183908045977e-05, + "loss": 1.6374, + "step": 1748 + }, + { + "epoch": 16.05, + "learning_rate": 2.0275862068965517e-05, + "loss": 1.8158, + "step": 1749 + }, + { + "epoch": 16.06, + "learning_rate": 2.0229885057471267e-05, + "loss": 1.6787, + "step": 1750 + }, + { + "epoch": 16.06, + "learning_rate": 2.0183908045977013e-05, + "loss": 1.6675, + "step": 1751 + }, + { + "epoch": 16.07, + "learning_rate": 2.013793103448276e-05, + "loss": 1.6286, + "step": 1752 + }, + { + "epoch": 16.08, + "learning_rate": 2.0091954022988506e-05, + "loss": 1.6663, + "step": 1753 + }, + { + "epoch": 16.09, + "learning_rate": 2.0045977011494255e-05, + "loss": 1.5321, + "step": 1754 + }, + { + "epoch": 16.1, + "learning_rate": 2e-05, + "loss": 1.7603, + "step": 1755 + }, + { + "epoch": 16.11, + "learning_rate": 1.9954022988505748e-05, + "loss": 1.6042, + "step": 1756 + }, + { + "epoch": 16.12, + "learning_rate": 1.9908045977011494e-05, + "loss": 2.1413, + "step": 1757 + }, + { + "epoch": 16.13, + "learning_rate": 1.986206896551724e-05, + "loss": 1.5905, + "step": 1758 + }, + { + "epoch": 16.14, + "learning_rate": 1.981609195402299e-05, + "loss": 1.8213, + "step": 1759 + }, + { + "epoch": 16.15, + "learning_rate": 1.9770114942528737e-05, + "loss": 2.2788, + "step": 1760 + }, + { + "epoch": 16.16, + "learning_rate": 1.9724137931034483e-05, + "loss": 2.2445, + "step": 1761 + }, + { + "epoch": 16.17, + "learning_rate": 1.9678160919540233e-05, + "loss": 2.0981, + "step": 1762 + }, + { + "epoch": 16.17, + "learning_rate": 1.963218390804598e-05, + "loss": 2.1543, + "step": 1763 + }, + { + "epoch": 16.18, + "learning_rate": 1.9586206896551725e-05, + "loss": 1.7363, + "step": 1764 + }, + { + "epoch": 16.19, + "learning_rate": 1.9540229885057475e-05, + "loss": 2.0233, + "step": 1765 + }, + { + "epoch": 16.2, + "learning_rate": 1.9494252873563218e-05, + "loss": 1.675, + "step": 1766 + }, + { + "epoch": 16.21, + "learning_rate": 1.9448275862068964e-05, + "loss": 1.604, + "step": 1767 + }, + { + "epoch": 16.22, + "learning_rate": 1.9402298850574714e-05, + "loss": 1.7731, + "step": 1768 + }, + { + "epoch": 16.23, + "learning_rate": 1.935632183908046e-05, + "loss": 1.6901, + "step": 1769 + }, + { + "epoch": 16.24, + "learning_rate": 1.9310344827586207e-05, + "loss": 2.116, + "step": 1770 + }, + { + "epoch": 16.25, + "learning_rate": 1.9264367816091956e-05, + "loss": 1.5864, + "step": 1771 + }, + { + "epoch": 16.26, + "learning_rate": 1.9218390804597703e-05, + "loss": 1.8122, + "step": 1772 + }, + { + "epoch": 16.27, + "learning_rate": 1.917241379310345e-05, + "loss": 1.9989, + "step": 1773 + }, + { + "epoch": 16.28, + "learning_rate": 1.91264367816092e-05, + "loss": 1.7694, + "step": 1774 + }, + { + "epoch": 16.28, + "learning_rate": 1.9080459770114945e-05, + "loss": 1.8421, + "step": 1775 + }, + { + "epoch": 16.29, + "learning_rate": 1.9034482758620688e-05, + "loss": 1.8328, + "step": 1776 + }, + { + "epoch": 16.3, + "learning_rate": 1.8988505747126438e-05, + "loss": 1.6348, + "step": 1777 + }, + { + "epoch": 16.31, + "learning_rate": 1.8942528735632184e-05, + "loss": 1.9723, + "step": 1778 + }, + { + "epoch": 16.32, + "learning_rate": 1.889655172413793e-05, + "loss": 1.8636, + "step": 1779 + }, + { + "epoch": 16.33, + "learning_rate": 1.885057471264368e-05, + "loss": 1.8268, + "step": 1780 + }, + { + "epoch": 16.34, + "learning_rate": 1.8804597701149426e-05, + "loss": 1.7373, + "step": 1781 + }, + { + "epoch": 16.35, + "learning_rate": 1.8758620689655173e-05, + "loss": 2.5465, + "step": 1782 + }, + { + "epoch": 16.36, + "learning_rate": 1.8712643678160922e-05, + "loss": 1.5959, + "step": 1783 + }, + { + "epoch": 16.37, + "learning_rate": 1.866666666666667e-05, + "loss": 2.1048, + "step": 1784 + }, + { + "epoch": 16.38, + "learning_rate": 1.8620689655172415e-05, + "loss": 1.9517, + "step": 1785 + }, + { + "epoch": 16.39, + "learning_rate": 1.857471264367816e-05, + "loss": 1.7157, + "step": 1786 + }, + { + "epoch": 16.39, + "learning_rate": 1.8528735632183908e-05, + "loss": 1.5264, + "step": 1787 + }, + { + "epoch": 16.4, + "learning_rate": 1.8482758620689654e-05, + "loss": 1.7161, + "step": 1788 + }, + { + "epoch": 16.41, + "learning_rate": 1.8436781609195404e-05, + "loss": 2.3171, + "step": 1789 + }, + { + "epoch": 16.42, + "learning_rate": 1.839080459770115e-05, + "loss": 1.495, + "step": 1790 + }, + { + "epoch": 16.43, + "learning_rate": 1.8344827586206896e-05, + "loss": 1.7321, + "step": 1791 + }, + { + "epoch": 16.44, + "learning_rate": 1.8298850574712646e-05, + "loss": 2.0011, + "step": 1792 + }, + { + "epoch": 16.45, + "learning_rate": 1.8252873563218392e-05, + "loss": 1.6976, + "step": 1793 + }, + { + "epoch": 16.46, + "learning_rate": 1.820689655172414e-05, + "loss": 1.5715, + "step": 1794 + }, + { + "epoch": 16.47, + "learning_rate": 1.816091954022989e-05, + "loss": 1.5409, + "step": 1795 + }, + { + "epoch": 16.48, + "learning_rate": 1.811494252873563e-05, + "loss": 1.6737, + "step": 1796 + }, + { + "epoch": 16.49, + "learning_rate": 1.8068965517241378e-05, + "loss": 1.7484, + "step": 1797 + }, + { + "epoch": 16.5, + "learning_rate": 1.8022988505747127e-05, + "loss": 1.5293, + "step": 1798 + }, + { + "epoch": 16.5, + "learning_rate": 1.7977011494252874e-05, + "loss": 1.5758, + "step": 1799 + }, + { + "epoch": 16.51, + "learning_rate": 1.793103448275862e-05, + "loss": 1.6663, + "step": 1800 + }, + { + "epoch": 16.52, + "learning_rate": 1.788505747126437e-05, + "loss": 1.6991, + "step": 1801 + }, + { + "epoch": 16.53, + "learning_rate": 1.7839080459770116e-05, + "loss": 1.6533, + "step": 1802 + }, + { + "epoch": 16.54, + "learning_rate": 1.7793103448275862e-05, + "loss": 1.7358, + "step": 1803 + }, + { + "epoch": 16.55, + "learning_rate": 1.7747126436781612e-05, + "loss": 2.1868, + "step": 1804 + }, + { + "epoch": 16.56, + "learning_rate": 1.770114942528736e-05, + "loss": 1.6187, + "step": 1805 + }, + { + "epoch": 16.57, + "learning_rate": 1.76551724137931e-05, + "loss": 1.8219, + "step": 1806 + }, + { + "epoch": 16.58, + "learning_rate": 1.760919540229885e-05, + "loss": 1.772, + "step": 1807 + }, + { + "epoch": 16.59, + "learning_rate": 1.7563218390804597e-05, + "loss": 1.5456, + "step": 1808 + }, + { + "epoch": 16.6, + "learning_rate": 1.7517241379310344e-05, + "loss": 1.763, + "step": 1809 + }, + { + "epoch": 16.61, + "learning_rate": 1.7471264367816093e-05, + "loss": 1.4909, + "step": 1810 + }, + { + "epoch": 16.61, + "learning_rate": 1.742528735632184e-05, + "loss": 1.8175, + "step": 1811 + }, + { + "epoch": 16.62, + "learning_rate": 1.7379310344827586e-05, + "loss": 1.7096, + "step": 1812 + }, + { + "epoch": 16.63, + "learning_rate": 1.7333333333333336e-05, + "loss": 2.1813, + "step": 1813 + }, + { + "epoch": 16.64, + "learning_rate": 1.7287356321839082e-05, + "loss": 2.0566, + "step": 1814 + }, + { + "epoch": 16.65, + "learning_rate": 1.7241379310344828e-05, + "loss": 1.981, + "step": 1815 + }, + { + "epoch": 16.66, + "learning_rate": 1.7195402298850575e-05, + "loss": 1.9546, + "step": 1816 + }, + { + "epoch": 16.67, + "learning_rate": 1.714942528735632e-05, + "loss": 1.7575, + "step": 1817 + }, + { + "epoch": 16.68, + "learning_rate": 1.710344827586207e-05, + "loss": 1.7743, + "step": 1818 + }, + { + "epoch": 16.69, + "learning_rate": 1.7057471264367817e-05, + "loss": 1.9899, + "step": 1819 + }, + { + "epoch": 16.7, + "learning_rate": 1.7011494252873563e-05, + "loss": 1.4906, + "step": 1820 + }, + { + "epoch": 16.71, + "learning_rate": 1.696551724137931e-05, + "loss": 2.3783, + "step": 1821 + }, + { + "epoch": 16.72, + "learning_rate": 1.691954022988506e-05, + "loss": 1.6141, + "step": 1822 + }, + { + "epoch": 16.72, + "learning_rate": 1.6873563218390806e-05, + "loss": 1.7741, + "step": 1823 + }, + { + "epoch": 16.73, + "learning_rate": 1.6827586206896552e-05, + "loss": 2.0852, + "step": 1824 + }, + { + "epoch": 16.74, + "learning_rate": 1.67816091954023e-05, + "loss": 1.6502, + "step": 1825 + }, + { + "epoch": 16.75, + "learning_rate": 1.6735632183908045e-05, + "loss": 2.1024, + "step": 1826 + }, + { + "epoch": 16.76, + "learning_rate": 1.6689655172413794e-05, + "loss": 1.7739, + "step": 1827 + }, + { + "epoch": 16.77, + "learning_rate": 1.664367816091954e-05, + "loss": 1.5786, + "step": 1828 + }, + { + "epoch": 16.78, + "learning_rate": 1.6597701149425287e-05, + "loss": 2.5854, + "step": 1829 + }, + { + "epoch": 16.79, + "learning_rate": 1.6551724137931037e-05, + "loss": 1.5301, + "step": 1830 + }, + { + "epoch": 16.8, + "learning_rate": 1.6505747126436783e-05, + "loss": 1.7145, + "step": 1831 + }, + { + "epoch": 16.81, + "learning_rate": 1.645977011494253e-05, + "loss": 1.749, + "step": 1832 + }, + { + "epoch": 16.82, + "learning_rate": 1.6413793103448276e-05, + "loss": 1.7703, + "step": 1833 + }, + { + "epoch": 16.83, + "learning_rate": 1.6367816091954025e-05, + "loss": 1.363, + "step": 1834 + }, + { + "epoch": 16.83, + "learning_rate": 1.632183908045977e-05, + "loss": 1.5184, + "step": 1835 + }, + { + "epoch": 16.84, + "learning_rate": 1.6275862068965518e-05, + "loss": 1.7321, + "step": 1836 + }, + { + "epoch": 16.85, + "learning_rate": 1.6229885057471264e-05, + "loss": 1.6095, + "step": 1837 + }, + { + "epoch": 16.86, + "learning_rate": 1.618390804597701e-05, + "loss": 1.7881, + "step": 1838 + }, + { + "epoch": 16.87, + "learning_rate": 1.613793103448276e-05, + "loss": 2.151, + "step": 1839 + }, + { + "epoch": 16.88, + "learning_rate": 1.6091954022988507e-05, + "loss": 1.8125, + "step": 1840 + }, + { + "epoch": 16.89, + "learning_rate": 1.6045977011494253e-05, + "loss": 1.4826, + "step": 1841 + }, + { + "epoch": 16.9, + "learning_rate": 1.6000000000000003e-05, + "loss": 2.0067, + "step": 1842 + }, + { + "epoch": 16.91, + "learning_rate": 1.595402298850575e-05, + "loss": 2.3835, + "step": 1843 + }, + { + "epoch": 16.92, + "learning_rate": 1.5908045977011495e-05, + "loss": 1.9051, + "step": 1844 + }, + { + "epoch": 16.93, + "learning_rate": 1.586206896551724e-05, + "loss": 2.9092, + "step": 1845 + }, + { + "epoch": 16.94, + "learning_rate": 1.5816091954022988e-05, + "loss": 1.6898, + "step": 1846 + }, + { + "epoch": 16.94, + "learning_rate": 1.5770114942528734e-05, + "loss": 1.5666, + "step": 1847 + }, + { + "epoch": 16.95, + "learning_rate": 1.5724137931034484e-05, + "loss": 1.4518, + "step": 1848 + }, + { + "epoch": 16.96, + "learning_rate": 1.567816091954023e-05, + "loss": 1.6247, + "step": 1849 + }, + { + "epoch": 16.97, + "learning_rate": 1.5632183908045977e-05, + "loss": 1.6055, + "step": 1850 + }, + { + "epoch": 16.98, + "learning_rate": 1.5586206896551726e-05, + "loss": 1.7147, + "step": 1851 + }, + { + "epoch": 16.99, + "learning_rate": 1.5540229885057473e-05, + "loss": 1.9076, + "step": 1852 + }, + { + "epoch": 17.0, + "learning_rate": 1.549425287356322e-05, + "loss": 1.7633, + "step": 1853 + }, + { + "epoch": 17.0, + "eval_accuracy": 0.21341463414634146, + "eval_loss": 1.8786174058914185, + "eval_runtime": 13.7801, + "eval_samples_per_second": 11.901, + "eval_steps_per_second": 1.524, + "step": 1853 + }, + { + "epoch": 17.01, + "learning_rate": 1.544827586206897e-05, + "loss": 2.1003, + "step": 1854 + }, + { + "epoch": 17.02, + "learning_rate": 1.5402298850574715e-05, + "loss": 2.5952, + "step": 1855 + }, + { + "epoch": 17.03, + "learning_rate": 1.5356321839080458e-05, + "loss": 1.548, + "step": 1856 + }, + { + "epoch": 17.04, + "learning_rate": 1.5310344827586208e-05, + "loss": 2.0223, + "step": 1857 + }, + { + "epoch": 17.05, + "learning_rate": 1.5264367816091954e-05, + "loss": 1.7617, + "step": 1858 + }, + { + "epoch": 17.06, + "learning_rate": 1.5218390804597702e-05, + "loss": 1.6746, + "step": 1859 + }, + { + "epoch": 17.06, + "learning_rate": 1.5172413793103448e-05, + "loss": 1.9598, + "step": 1860 + }, + { + "epoch": 17.07, + "learning_rate": 1.5126436781609196e-05, + "loss": 2.2388, + "step": 1861 + }, + { + "epoch": 17.08, + "learning_rate": 1.5080459770114944e-05, + "loss": 1.7284, + "step": 1862 + }, + { + "epoch": 17.09, + "learning_rate": 1.503448275862069e-05, + "loss": 1.8538, + "step": 1863 + }, + { + "epoch": 17.1, + "learning_rate": 1.4988505747126439e-05, + "loss": 1.9424, + "step": 1864 + }, + { + "epoch": 17.11, + "learning_rate": 1.4942528735632185e-05, + "loss": 1.5018, + "step": 1865 + }, + { + "epoch": 17.12, + "learning_rate": 1.489655172413793e-05, + "loss": 1.6875, + "step": 1866 + }, + { + "epoch": 17.13, + "learning_rate": 1.4850574712643678e-05, + "loss": 1.9541, + "step": 1867 + }, + { + "epoch": 17.14, + "learning_rate": 1.4804597701149426e-05, + "loss": 1.8123, + "step": 1868 + }, + { + "epoch": 17.15, + "learning_rate": 1.4758620689655172e-05, + "loss": 1.8073, + "step": 1869 + }, + { + "epoch": 17.16, + "learning_rate": 1.471264367816092e-05, + "loss": 1.841, + "step": 1870 + }, + { + "epoch": 17.17, + "learning_rate": 1.4666666666666668e-05, + "loss": 2.1097, + "step": 1871 + }, + { + "epoch": 17.17, + "learning_rate": 1.4620689655172414e-05, + "loss": 1.4635, + "step": 1872 + }, + { + "epoch": 17.18, + "learning_rate": 1.4574712643678162e-05, + "loss": 1.7179, + "step": 1873 + }, + { + "epoch": 17.19, + "learning_rate": 1.452873563218391e-05, + "loss": 1.6642, + "step": 1874 + }, + { + "epoch": 17.2, + "learning_rate": 1.4482758620689657e-05, + "loss": 1.6476, + "step": 1875 + }, + { + "epoch": 17.21, + "learning_rate": 1.4436781609195401e-05, + "loss": 1.5916, + "step": 1876 + }, + { + "epoch": 17.22, + "learning_rate": 1.439080459770115e-05, + "loss": 1.527, + "step": 1877 + }, + { + "epoch": 17.23, + "learning_rate": 1.4344827586206897e-05, + "loss": 1.6084, + "step": 1878 + }, + { + "epoch": 17.24, + "learning_rate": 1.4298850574712644e-05, + "loss": 1.6357, + "step": 1879 + }, + { + "epoch": 17.25, + "learning_rate": 1.4252873563218392e-05, + "loss": 1.8091, + "step": 1880 + }, + { + "epoch": 17.26, + "learning_rate": 1.4206896551724138e-05, + "loss": 1.4702, + "step": 1881 + }, + { + "epoch": 17.27, + "learning_rate": 1.4160919540229886e-05, + "loss": 2.0314, + "step": 1882 + }, + { + "epoch": 17.28, + "learning_rate": 1.4114942528735634e-05, + "loss": 1.8582, + "step": 1883 + }, + { + "epoch": 17.28, + "learning_rate": 1.406896551724138e-05, + "loss": 1.86, + "step": 1884 + }, + { + "epoch": 17.29, + "learning_rate": 1.4022988505747128e-05, + "loss": 1.8768, + "step": 1885 + }, + { + "epoch": 17.3, + "learning_rate": 1.3977011494252873e-05, + "loss": 2.2855, + "step": 1886 + }, + { + "epoch": 17.31, + "learning_rate": 1.3931034482758621e-05, + "loss": 1.5513, + "step": 1887 + }, + { + "epoch": 17.32, + "learning_rate": 1.3885057471264367e-05, + "loss": 1.91, + "step": 1888 + }, + { + "epoch": 17.33, + "learning_rate": 1.3839080459770115e-05, + "loss": 1.745, + "step": 1889 + }, + { + "epoch": 17.34, + "learning_rate": 1.3793103448275863e-05, + "loss": 1.6802, + "step": 1890 + }, + { + "epoch": 17.35, + "learning_rate": 1.374712643678161e-05, + "loss": 1.5715, + "step": 1891 + }, + { + "epoch": 17.36, + "learning_rate": 1.3701149425287358e-05, + "loss": 1.5778, + "step": 1892 + }, + { + "epoch": 17.37, + "learning_rate": 1.3655172413793104e-05, + "loss": 1.8125, + "step": 1893 + }, + { + "epoch": 17.38, + "learning_rate": 1.3609195402298852e-05, + "loss": 1.6094, + "step": 1894 + }, + { + "epoch": 17.39, + "learning_rate": 1.35632183908046e-05, + "loss": 1.8483, + "step": 1895 + }, + { + "epoch": 17.39, + "learning_rate": 1.3517241379310345e-05, + "loss": 1.8512, + "step": 1896 + }, + { + "epoch": 17.4, + "learning_rate": 1.3471264367816091e-05, + "loss": 1.5658, + "step": 1897 + }, + { + "epoch": 17.41, + "learning_rate": 1.3425287356321839e-05, + "loss": 1.722, + "step": 1898 + }, + { + "epoch": 17.42, + "learning_rate": 1.3379310344827587e-05, + "loss": 1.6313, + "step": 1899 + }, + { + "epoch": 17.43, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.6457, + "step": 1900 + }, + { + "epoch": 17.44, + "learning_rate": 1.3287356321839081e-05, + "loss": 1.9386, + "step": 1901 + }, + { + "epoch": 17.45, + "learning_rate": 1.324137931034483e-05, + "loss": 1.805, + "step": 1902 + }, + { + "epoch": 17.46, + "learning_rate": 1.3195402298850576e-05, + "loss": 1.5356, + "step": 1903 + }, + { + "epoch": 17.47, + "learning_rate": 1.3149425287356324e-05, + "loss": 1.8633, + "step": 1904 + }, + { + "epoch": 17.48, + "learning_rate": 1.310344827586207e-05, + "loss": 1.9469, + "step": 1905 + }, + { + "epoch": 17.49, + "learning_rate": 1.3057471264367815e-05, + "loss": 1.6068, + "step": 1906 + }, + { + "epoch": 17.5, + "learning_rate": 1.3011494252873563e-05, + "loss": 1.762, + "step": 1907 + }, + { + "epoch": 17.5, + "learning_rate": 1.296551724137931e-05, + "loss": 1.5911, + "step": 1908 + }, + { + "epoch": 17.51, + "learning_rate": 1.2919540229885057e-05, + "loss": 1.6597, + "step": 1909 + }, + { + "epoch": 17.52, + "learning_rate": 1.2873563218390805e-05, + "loss": 1.5972, + "step": 1910 + }, + { + "epoch": 17.53, + "learning_rate": 1.2827586206896553e-05, + "loss": 1.6908, + "step": 1911 + }, + { + "epoch": 17.54, + "learning_rate": 1.27816091954023e-05, + "loss": 1.8957, + "step": 1912 + }, + { + "epoch": 17.55, + "learning_rate": 1.2735632183908047e-05, + "loss": 2.0771, + "step": 1913 + }, + { + "epoch": 17.56, + "learning_rate": 1.2689655172413795e-05, + "loss": 1.7178, + "step": 1914 + }, + { + "epoch": 17.57, + "learning_rate": 1.2643678160919542e-05, + "loss": 1.4637, + "step": 1915 + }, + { + "epoch": 17.58, + "learning_rate": 1.2597701149425286e-05, + "loss": 2.2137, + "step": 1916 + }, + { + "epoch": 17.59, + "learning_rate": 1.2551724137931034e-05, + "loss": 1.8975, + "step": 1917 + }, + { + "epoch": 17.6, + "learning_rate": 1.2505747126436782e-05, + "loss": 1.7241, + "step": 1918 + }, + { + "epoch": 17.61, + "learning_rate": 1.2459770114942529e-05, + "loss": 1.8488, + "step": 1919 + }, + { + "epoch": 17.61, + "learning_rate": 1.2413793103448277e-05, + "loss": 2.1903, + "step": 1920 + }, + { + "epoch": 17.62, + "learning_rate": 1.2367816091954023e-05, + "loss": 1.4601, + "step": 1921 + }, + { + "epoch": 17.63, + "learning_rate": 1.2321839080459771e-05, + "loss": 1.7508, + "step": 1922 + }, + { + "epoch": 17.64, + "learning_rate": 1.2275862068965519e-05, + "loss": 2.6745, + "step": 1923 + }, + { + "epoch": 17.65, + "learning_rate": 1.2229885057471265e-05, + "loss": 1.8154, + "step": 1924 + }, + { + "epoch": 17.66, + "learning_rate": 1.2183908045977012e-05, + "loss": 1.8402, + "step": 1925 + }, + { + "epoch": 17.67, + "learning_rate": 1.213793103448276e-05, + "loss": 1.889, + "step": 1926 + }, + { + "epoch": 17.68, + "learning_rate": 1.2091954022988506e-05, + "loss": 1.8571, + "step": 1927 + }, + { + "epoch": 17.69, + "learning_rate": 1.2045977011494254e-05, + "loss": 1.6229, + "step": 1928 + }, + { + "epoch": 17.7, + "learning_rate": 1.2e-05, + "loss": 1.6628, + "step": 1929 + }, + { + "epoch": 17.71, + "learning_rate": 1.1954022988505748e-05, + "loss": 2.4438, + "step": 1930 + }, + { + "epoch": 17.72, + "learning_rate": 1.1908045977011495e-05, + "loss": 1.5868, + "step": 1931 + }, + { + "epoch": 17.72, + "learning_rate": 1.1862068965517243e-05, + "loss": 1.7507, + "step": 1932 + }, + { + "epoch": 17.73, + "learning_rate": 1.1816091954022989e-05, + "loss": 2.554, + "step": 1933 + }, + { + "epoch": 17.74, + "learning_rate": 1.1770114942528735e-05, + "loss": 1.6724, + "step": 1934 + }, + { + "epoch": 17.75, + "learning_rate": 1.1724137931034483e-05, + "loss": 2.1261, + "step": 1935 + }, + { + "epoch": 17.76, + "learning_rate": 1.1678160919540231e-05, + "loss": 1.6383, + "step": 1936 + }, + { + "epoch": 17.77, + "learning_rate": 1.1632183908045978e-05, + "loss": 1.6623, + "step": 1937 + }, + { + "epoch": 17.78, + "learning_rate": 1.1586206896551726e-05, + "loss": 1.5114, + "step": 1938 + }, + { + "epoch": 17.79, + "learning_rate": 1.1540229885057472e-05, + "loss": 2.1174, + "step": 1939 + }, + { + "epoch": 17.8, + "learning_rate": 1.1494252873563218e-05, + "loss": 1.5231, + "step": 1940 + }, + { + "epoch": 17.81, + "learning_rate": 1.1448275862068966e-05, + "loss": 1.881, + "step": 1941 + }, + { + "epoch": 17.82, + "learning_rate": 1.1402298850574714e-05, + "loss": 2.4178, + "step": 1942 + }, + { + "epoch": 17.83, + "learning_rate": 1.135632183908046e-05, + "loss": 1.3992, + "step": 1943 + }, + { + "epoch": 17.83, + "learning_rate": 1.1310344827586207e-05, + "loss": 1.6854, + "step": 1944 + }, + { + "epoch": 17.84, + "learning_rate": 1.1264367816091955e-05, + "loss": 1.6252, + "step": 1945 + }, + { + "epoch": 17.85, + "learning_rate": 1.1218390804597701e-05, + "loss": 2.1357, + "step": 1946 + }, + { + "epoch": 17.86, + "learning_rate": 1.117241379310345e-05, + "loss": 1.748, + "step": 1947 + }, + { + "epoch": 17.87, + "learning_rate": 1.1126436781609197e-05, + "loss": 1.9517, + "step": 1948 + }, + { + "epoch": 17.88, + "learning_rate": 1.1080459770114942e-05, + "loss": 1.7772, + "step": 1949 + }, + { + "epoch": 17.89, + "learning_rate": 1.103448275862069e-05, + "loss": 1.7389, + "step": 1950 + }, + { + "epoch": 17.9, + "learning_rate": 1.0988505747126438e-05, + "loss": 1.493, + "step": 1951 + }, + { + "epoch": 17.91, + "learning_rate": 1.0942528735632184e-05, + "loss": 1.543, + "step": 1952 + }, + { + "epoch": 17.92, + "learning_rate": 1.0896551724137932e-05, + "loss": 1.5745, + "step": 1953 + }, + { + "epoch": 17.93, + "learning_rate": 1.0850574712643679e-05, + "loss": 1.6556, + "step": 1954 + }, + { + "epoch": 17.94, + "learning_rate": 1.0804597701149425e-05, + "loss": 2.241, + "step": 1955 + }, + { + "epoch": 17.94, + "learning_rate": 1.0758620689655173e-05, + "loss": 1.4161, + "step": 1956 + }, + { + "epoch": 17.95, + "learning_rate": 1.0712643678160921e-05, + "loss": 1.5301, + "step": 1957 + }, + { + "epoch": 17.96, + "learning_rate": 1.0666666666666667e-05, + "loss": 1.8564, + "step": 1958 + }, + { + "epoch": 17.97, + "learning_rate": 1.0620689655172414e-05, + "loss": 1.6702, + "step": 1959 + }, + { + "epoch": 17.98, + "learning_rate": 1.0574712643678162e-05, + "loss": 2.201, + "step": 1960 + }, + { + "epoch": 17.99, + "learning_rate": 1.0528735632183908e-05, + "loss": 1.8416, + "step": 1961 + }, + { + "epoch": 18.0, + "learning_rate": 1.0482758620689656e-05, + "loss": 2.6586, + "step": 1962 + }, + { + "epoch": 18.0, + "eval_accuracy": 0.25, + "eval_loss": 1.8722608089447021, + "eval_runtime": 13.8116, + "eval_samples_per_second": 11.874, + "eval_steps_per_second": 1.52, + "step": 1962 + }, + { + "epoch": 18.01, + "learning_rate": 1.0436781609195404e-05, + "loss": 1.981, + "step": 1963 + }, + { + "epoch": 18.02, + "learning_rate": 1.039080459770115e-05, + "loss": 1.4829, + "step": 1964 + }, + { + "epoch": 18.03, + "learning_rate": 1.0344827586206897e-05, + "loss": 1.799, + "step": 1965 + }, + { + "epoch": 18.04, + "learning_rate": 1.0298850574712645e-05, + "loss": 1.7013, + "step": 1966 + }, + { + "epoch": 18.05, + "learning_rate": 1.0252873563218391e-05, + "loss": 1.8411, + "step": 1967 + }, + { + "epoch": 18.06, + "learning_rate": 1.0206896551724139e-05, + "loss": 2.2943, + "step": 1968 + }, + { + "epoch": 18.06, + "learning_rate": 1.0160919540229885e-05, + "loss": 1.863, + "step": 1969 + }, + { + "epoch": 18.07, + "learning_rate": 1.0114942528735633e-05, + "loss": 1.6908, + "step": 1970 + }, + { + "epoch": 18.08, + "learning_rate": 1.006896551724138e-05, + "loss": 1.7035, + "step": 1971 + }, + { + "epoch": 18.09, + "learning_rate": 1.0022988505747128e-05, + "loss": 1.8714, + "step": 1972 + }, + { + "epoch": 18.1, + "learning_rate": 9.977011494252874e-06, + "loss": 1.9688, + "step": 1973 + }, + { + "epoch": 18.11, + "learning_rate": 9.93103448275862e-06, + "loss": 1.6745, + "step": 1974 + }, + { + "epoch": 18.12, + "learning_rate": 9.885057471264368e-06, + "loss": 1.7702, + "step": 1975 + }, + { + "epoch": 18.13, + "learning_rate": 9.839080459770116e-06, + "loss": 1.7617, + "step": 1976 + }, + { + "epoch": 18.14, + "learning_rate": 9.793103448275863e-06, + "loss": 1.6504, + "step": 1977 + }, + { + "epoch": 18.15, + "learning_rate": 9.747126436781609e-06, + "loss": 2.1846, + "step": 1978 + }, + { + "epoch": 18.16, + "learning_rate": 9.701149425287357e-06, + "loss": 1.8273, + "step": 1979 + }, + { + "epoch": 18.17, + "learning_rate": 9.655172413793103e-06, + "loss": 1.7038, + "step": 1980 + }, + { + "epoch": 18.17, + "learning_rate": 9.609195402298851e-06, + "loss": 1.7782, + "step": 1981 + }, + { + "epoch": 18.18, + "learning_rate": 9.5632183908046e-06, + "loss": 1.473, + "step": 1982 + }, + { + "epoch": 18.19, + "learning_rate": 9.517241379310344e-06, + "loss": 1.9904, + "step": 1983 + }, + { + "epoch": 18.2, + "learning_rate": 9.471264367816092e-06, + "loss": 1.7074, + "step": 1984 + }, + { + "epoch": 18.21, + "learning_rate": 9.42528735632184e-06, + "loss": 1.5938, + "step": 1985 + }, + { + "epoch": 18.22, + "learning_rate": 9.379310344827586e-06, + "loss": 2.0194, + "step": 1986 + }, + { + "epoch": 18.23, + "learning_rate": 9.333333333333334e-06, + "loss": 2.173, + "step": 1987 + }, + { + "epoch": 18.24, + "learning_rate": 9.28735632183908e-06, + "loss": 2.0861, + "step": 1988 + }, + { + "epoch": 18.25, + "learning_rate": 9.241379310344827e-06, + "loss": 1.7593, + "step": 1989 + }, + { + "epoch": 18.26, + "learning_rate": 9.195402298850575e-06, + "loss": 1.8021, + "step": 1990 + }, + { + "epoch": 18.27, + "learning_rate": 9.149425287356323e-06, + "loss": 1.6424, + "step": 1991 + }, + { + "epoch": 18.28, + "learning_rate": 9.10344827586207e-06, + "loss": 2.0724, + "step": 1992 + }, + { + "epoch": 18.28, + "learning_rate": 9.057471264367816e-06, + "loss": 1.763, + "step": 1993 + }, + { + "epoch": 18.29, + "learning_rate": 9.011494252873564e-06, + "loss": 2.1261, + "step": 1994 + }, + { + "epoch": 18.3, + "learning_rate": 8.96551724137931e-06, + "loss": 1.6613, + "step": 1995 + }, + { + "epoch": 18.31, + "learning_rate": 8.919540229885058e-06, + "loss": 1.7075, + "step": 1996 + }, + { + "epoch": 18.32, + "learning_rate": 8.873563218390806e-06, + "loss": 2.3066, + "step": 1997 + }, + { + "epoch": 18.33, + "learning_rate": 8.82758620689655e-06, + "loss": 2.0594, + "step": 1998 + }, + { + "epoch": 18.34, + "learning_rate": 8.781609195402299e-06, + "loss": 1.6063, + "step": 1999 + }, + { + "epoch": 18.35, + "learning_rate": 8.735632183908047e-06, + "loss": 1.3161, + "step": 2000 + }, + { + "epoch": 18.36, + "learning_rate": 8.689655172413793e-06, + "loss": 1.7985, + "step": 2001 + }, + { + "epoch": 18.37, + "learning_rate": 8.643678160919541e-06, + "loss": 2.0872, + "step": 2002 + }, + { + "epoch": 18.38, + "learning_rate": 8.597701149425287e-06, + "loss": 1.5913, + "step": 2003 + }, + { + "epoch": 18.39, + "learning_rate": 8.551724137931035e-06, + "loss": 1.7886, + "step": 2004 + }, + { + "epoch": 18.39, + "learning_rate": 8.505747126436782e-06, + "loss": 1.728, + "step": 2005 + }, + { + "epoch": 18.4, + "learning_rate": 8.45977011494253e-06, + "loss": 1.7227, + "step": 2006 + }, + { + "epoch": 18.41, + "learning_rate": 8.413793103448276e-06, + "loss": 1.6143, + "step": 2007 + }, + { + "epoch": 18.42, + "learning_rate": 8.367816091954022e-06, + "loss": 1.6408, + "step": 2008 + }, + { + "epoch": 18.43, + "learning_rate": 8.32183908045977e-06, + "loss": 1.673, + "step": 2009 + }, + { + "epoch": 18.44, + "learning_rate": 8.275862068965518e-06, + "loss": 1.5601, + "step": 2010 + }, + { + "epoch": 18.45, + "learning_rate": 8.229885057471265e-06, + "loss": 1.6007, + "step": 2011 + }, + { + "epoch": 18.46, + "learning_rate": 8.183908045977013e-06, + "loss": 1.5991, + "step": 2012 + }, + { + "epoch": 18.47, + "learning_rate": 8.137931034482759e-06, + "loss": 1.4759, + "step": 2013 + }, + { + "epoch": 18.48, + "learning_rate": 8.091954022988505e-06, + "loss": 1.4889, + "step": 2014 + }, + { + "epoch": 18.49, + "learning_rate": 8.045977011494253e-06, + "loss": 1.5286, + "step": 2015 + }, + { + "epoch": 18.5, + "learning_rate": 8.000000000000001e-06, + "loss": 1.5837, + "step": 2016 + }, + { + "epoch": 18.5, + "learning_rate": 7.954022988505748e-06, + "loss": 1.7769, + "step": 2017 + }, + { + "epoch": 18.51, + "learning_rate": 7.908045977011494e-06, + "loss": 1.6331, + "step": 2018 + }, + { + "epoch": 18.52, + "learning_rate": 7.862068965517242e-06, + "loss": 1.7039, + "step": 2019 + }, + { + "epoch": 18.53, + "learning_rate": 7.816091954022988e-06, + "loss": 1.7415, + "step": 2020 + }, + { + "epoch": 18.54, + "learning_rate": 7.770114942528736e-06, + "loss": 1.6737, + "step": 2021 + }, + { + "epoch": 18.55, + "learning_rate": 7.724137931034484e-06, + "loss": 1.828, + "step": 2022 + }, + { + "epoch": 18.56, + "learning_rate": 7.678160919540229e-06, + "loss": 1.4221, + "step": 2023 + }, + { + "epoch": 18.57, + "learning_rate": 7.632183908045977e-06, + "loss": 2.0946, + "step": 2024 + }, + { + "epoch": 18.58, + "learning_rate": 7.586206896551724e-06, + "loss": 1.6146, + "step": 2025 + }, + { + "epoch": 18.59, + "learning_rate": 7.540229885057472e-06, + "loss": 1.7017, + "step": 2026 + }, + { + "epoch": 18.6, + "learning_rate": 7.494252873563219e-06, + "loss": 1.4984, + "step": 2027 + }, + { + "epoch": 18.61, + "learning_rate": 7.448275862068965e-06, + "loss": 1.8439, + "step": 2028 + }, + { + "epoch": 18.61, + "learning_rate": 7.402298850574713e-06, + "loss": 2.596, + "step": 2029 + }, + { + "epoch": 18.62, + "learning_rate": 7.35632183908046e-06, + "loss": 1.7111, + "step": 2030 + }, + { + "epoch": 18.63, + "learning_rate": 7.310344827586207e-06, + "loss": 1.771, + "step": 2031 + }, + { + "epoch": 18.64, + "learning_rate": 7.264367816091955e-06, + "loss": 2.1641, + "step": 2032 + }, + { + "epoch": 18.65, + "learning_rate": 7.218390804597701e-06, + "loss": 1.7231, + "step": 2033 + }, + { + "epoch": 18.66, + "learning_rate": 7.172413793103449e-06, + "loss": 2.0176, + "step": 2034 + }, + { + "epoch": 18.67, + "learning_rate": 7.126436781609196e-06, + "loss": 1.6999, + "step": 2035 + }, + { + "epoch": 18.68, + "learning_rate": 7.080459770114943e-06, + "loss": 1.5221, + "step": 2036 + }, + { + "epoch": 18.69, + "learning_rate": 7.03448275862069e-06, + "loss": 1.8704, + "step": 2037 + }, + { + "epoch": 18.7, + "learning_rate": 6.9885057471264365e-06, + "loss": 1.659, + "step": 2038 + }, + { + "epoch": 18.71, + "learning_rate": 6.942528735632184e-06, + "loss": 1.6603, + "step": 2039 + }, + { + "epoch": 18.72, + "learning_rate": 6.896551724137932e-06, + "loss": 1.8709, + "step": 2040 + }, + { + "epoch": 18.72, + "learning_rate": 6.850574712643679e-06, + "loss": 1.6874, + "step": 2041 + }, + { + "epoch": 18.73, + "learning_rate": 6.804597701149426e-06, + "loss": 1.564, + "step": 2042 + }, + { + "epoch": 18.74, + "learning_rate": 6.758620689655172e-06, + "loss": 1.9025, + "step": 2043 + }, + { + "epoch": 18.75, + "learning_rate": 6.7126436781609195e-06, + "loss": 1.6248, + "step": 2044 + }, + { + "epoch": 18.76, + "learning_rate": 6.666666666666667e-06, + "loss": 2.3864, + "step": 2045 + }, + { + "epoch": 18.77, + "learning_rate": 6.620689655172415e-06, + "loss": 1.6193, + "step": 2046 + }, + { + "epoch": 18.78, + "learning_rate": 6.574712643678162e-06, + "loss": 1.6766, + "step": 2047 + }, + { + "epoch": 18.79, + "learning_rate": 6.528735632183907e-06, + "loss": 1.6108, + "step": 2048 + }, + { + "epoch": 18.8, + "learning_rate": 6.482758620689655e-06, + "loss": 1.9281, + "step": 2049 + }, + { + "epoch": 18.81, + "learning_rate": 6.4367816091954025e-06, + "loss": 2.2736, + "step": 2050 + }, + { + "epoch": 18.82, + "learning_rate": 6.39080459770115e-06, + "loss": 1.5257, + "step": 2051 + }, + { + "epoch": 18.83, + "learning_rate": 6.344827586206898e-06, + "loss": 1.6097, + "step": 2052 + }, + { + "epoch": 18.83, + "learning_rate": 6.298850574712643e-06, + "loss": 2.4777, + "step": 2053 + }, + { + "epoch": 18.84, + "learning_rate": 6.252873563218391e-06, + "loss": 2.0103, + "step": 2054 + }, + { + "epoch": 18.85, + "learning_rate": 6.206896551724138e-06, + "loss": 1.8506, + "step": 2055 + }, + { + "epoch": 18.86, + "learning_rate": 6.1609195402298855e-06, + "loss": 1.633, + "step": 2056 + }, + { + "epoch": 18.87, + "learning_rate": 6.114942528735633e-06, + "loss": 1.7209, + "step": 2057 + }, + { + "epoch": 18.88, + "learning_rate": 6.06896551724138e-06, + "loss": 2.1247, + "step": 2058 + }, + { + "epoch": 18.89, + "learning_rate": 6.022988505747127e-06, + "loss": 1.873, + "step": 2059 + }, + { + "epoch": 18.9, + "learning_rate": 5.977011494252874e-06, + "loss": 1.9735, + "step": 2060 + }, + { + "epoch": 18.91, + "learning_rate": 5.931034482758621e-06, + "loss": 1.709, + "step": 2061 + }, + { + "epoch": 18.92, + "learning_rate": 5.885057471264368e-06, + "loss": 1.6885, + "step": 2062 + }, + { + "epoch": 18.93, + "learning_rate": 5.839080459770116e-06, + "loss": 2.2174, + "step": 2063 + }, + { + "epoch": 18.94, + "learning_rate": 5.793103448275863e-06, + "loss": 2.3934, + "step": 2064 + }, + { + "epoch": 18.94, + "learning_rate": 5.747126436781609e-06, + "loss": 1.5946, + "step": 2065 + }, + { + "epoch": 18.95, + "learning_rate": 5.701149425287357e-06, + "loss": 2.3485, + "step": 2066 + }, + { + "epoch": 18.96, + "learning_rate": 5.6551724137931035e-06, + "loss": 1.4891, + "step": 2067 + }, + { + "epoch": 18.97, + "learning_rate": 5.609195402298851e-06, + "loss": 1.716, + "step": 2068 + }, + { + "epoch": 18.98, + "learning_rate": 5.563218390804599e-06, + "loss": 1.6224, + "step": 2069 + }, + { + "epoch": 18.99, + "learning_rate": 5.517241379310345e-06, + "loss": 1.6514, + "step": 2070 + }, + { + "epoch": 19.0, + "learning_rate": 5.471264367816092e-06, + "loss": 2.0078, + "step": 2071 + }, + { + "epoch": 19.0, + "eval_accuracy": 0.24390243902439024, + "eval_loss": 1.8769859075546265, + "eval_runtime": 13.8611, + "eval_samples_per_second": 11.832, + "eval_steps_per_second": 1.515, + "step": 2071 + }, + { + "epoch": 19.01, + "learning_rate": 5.425287356321839e-06, + "loss": 2.113, + "step": 2072 + }, + { + "epoch": 19.02, + "learning_rate": 5.3793103448275865e-06, + "loss": 2.0407, + "step": 2073 + }, + { + "epoch": 19.03, + "learning_rate": 5.333333333333334e-06, + "loss": 1.9523, + "step": 2074 + }, + { + "epoch": 19.04, + "learning_rate": 5.287356321839081e-06, + "loss": 1.5802, + "step": 2075 + }, + { + "epoch": 19.05, + "learning_rate": 5.241379310344828e-06, + "loss": 1.8424, + "step": 2076 + }, + { + "epoch": 19.06, + "learning_rate": 5.195402298850575e-06, + "loss": 2.2139, + "step": 2077 + }, + { + "epoch": 19.06, + "learning_rate": 5.149425287356322e-06, + "loss": 1.7326, + "step": 2078 + }, + { + "epoch": 19.07, + "learning_rate": 5.1034482758620695e-06, + "loss": 1.4578, + "step": 2079 + }, + { + "epoch": 19.08, + "learning_rate": 5.057471264367817e-06, + "loss": 1.8058, + "step": 2080 + }, + { + "epoch": 19.09, + "learning_rate": 5.011494252873564e-06, + "loss": 1.8672, + "step": 2081 + }, + { + "epoch": 19.1, + "learning_rate": 4.96551724137931e-06, + "loss": 1.6191, + "step": 2082 + }, + { + "epoch": 19.11, + "learning_rate": 4.919540229885058e-06, + "loss": 1.8558, + "step": 2083 + }, + { + "epoch": 19.12, + "learning_rate": 4.8735632183908045e-06, + "loss": 1.8053, + "step": 2084 + }, + { + "epoch": 19.13, + "learning_rate": 4.827586206896552e-06, + "loss": 1.6794, + "step": 2085 + }, + { + "epoch": 19.14, + "learning_rate": 4.7816091954023e-06, + "loss": 1.5737, + "step": 2086 + }, + { + "epoch": 19.15, + "learning_rate": 4.735632183908046e-06, + "loss": 1.7139, + "step": 2087 + }, + { + "epoch": 19.16, + "learning_rate": 4.689655172413793e-06, + "loss": 1.6437, + "step": 2088 + }, + { + "epoch": 19.17, + "learning_rate": 4.64367816091954e-06, + "loss": 2.0791, + "step": 2089 + }, + { + "epoch": 19.17, + "learning_rate": 4.5977011494252875e-06, + "loss": 1.6147, + "step": 2090 + }, + { + "epoch": 19.18, + "learning_rate": 4.551724137931035e-06, + "loss": 1.9152, + "step": 2091 + }, + { + "epoch": 19.19, + "learning_rate": 4.505747126436782e-06, + "loss": 1.8205, + "step": 2092 + }, + { + "epoch": 19.2, + "learning_rate": 4.459770114942529e-06, + "loss": 1.7497, + "step": 2093 + }, + { + "epoch": 19.21, + "learning_rate": 4.413793103448275e-06, + "loss": 1.734, + "step": 2094 + }, + { + "epoch": 19.22, + "learning_rate": 4.367816091954023e-06, + "loss": 1.6431, + "step": 2095 + }, + { + "epoch": 19.23, + "learning_rate": 4.3218390804597705e-06, + "loss": 1.6222, + "step": 2096 + }, + { + "epoch": 19.24, + "learning_rate": 4.275862068965518e-06, + "loss": 2.2694, + "step": 2097 + }, + { + "epoch": 19.25, + "learning_rate": 4.229885057471265e-06, + "loss": 1.8006, + "step": 2098 + }, + { + "epoch": 19.26, + "learning_rate": 4.183908045977011e-06, + "loss": 1.9801, + "step": 2099 + }, + { + "epoch": 19.27, + "learning_rate": 4.137931034482759e-06, + "loss": 1.8374, + "step": 2100 + }, + { + "epoch": 19.28, + "learning_rate": 4.091954022988506e-06, + "loss": 1.7391, + "step": 2101 + }, + { + "epoch": 19.28, + "learning_rate": 4.045977011494253e-06, + "loss": 1.2126, + "step": 2102 + }, + { + "epoch": 19.29, + "learning_rate": 4.000000000000001e-06, + "loss": 1.6657, + "step": 2103 + }, + { + "epoch": 19.3, + "learning_rate": 3.954022988505747e-06, + "loss": 1.8836, + "step": 2104 + }, + { + "epoch": 19.31, + "learning_rate": 3.908045977011494e-06, + "loss": 1.5682, + "step": 2105 + }, + { + "epoch": 19.32, + "learning_rate": 3.862068965517242e-06, + "loss": 1.8257, + "step": 2106 + }, + { + "epoch": 19.33, + "learning_rate": 3.8160919540229885e-06, + "loss": 1.5636, + "step": 2107 + }, + { + "epoch": 19.34, + "learning_rate": 3.770114942528736e-06, + "loss": 1.8752, + "step": 2108 + }, + { + "epoch": 19.35, + "learning_rate": 3.7241379310344824e-06, + "loss": 1.5951, + "step": 2109 + }, + { + "epoch": 19.36, + "learning_rate": 3.67816091954023e-06, + "loss": 1.8802, + "step": 2110 + }, + { + "epoch": 19.37, + "learning_rate": 3.6321839080459776e-06, + "loss": 1.6312, + "step": 2111 + }, + { + "epoch": 19.38, + "learning_rate": 3.5862068965517243e-06, + "loss": 1.5378, + "step": 2112 + }, + { + "epoch": 19.39, + "learning_rate": 3.5402298850574715e-06, + "loss": 1.7642, + "step": 2113 + }, + { + "epoch": 19.39, + "learning_rate": 3.4942528735632182e-06, + "loss": 1.6104, + "step": 2114 + }, + { + "epoch": 19.4, + "learning_rate": 3.448275862068966e-06, + "loss": 2.3239, + "step": 2115 + }, + { + "epoch": 19.41, + "learning_rate": 3.402298850574713e-06, + "loss": 2.0949, + "step": 2116 + }, + { + "epoch": 19.42, + "learning_rate": 3.3563218390804597e-06, + "loss": 1.9261, + "step": 2117 + }, + { + "epoch": 19.43, + "learning_rate": 3.3103448275862073e-06, + "loss": 1.6624, + "step": 2118 + }, + { + "epoch": 19.44, + "learning_rate": 3.2643678160919537e-06, + "loss": 1.6051, + "step": 2119 + }, + { + "epoch": 19.45, + "learning_rate": 3.2183908045977012e-06, + "loss": 2.4215, + "step": 2120 + }, + { + "epoch": 19.46, + "learning_rate": 3.172413793103449e-06, + "loss": 1.5786, + "step": 2121 + }, + { + "epoch": 19.47, + "learning_rate": 3.1264367816091956e-06, + "loss": 1.6406, + "step": 2122 + }, + { + "epoch": 19.48, + "learning_rate": 3.0804597701149427e-06, + "loss": 1.8825, + "step": 2123 + }, + { + "epoch": 19.49, + "learning_rate": 3.03448275862069e-06, + "loss": 1.7821, + "step": 2124 + }, + { + "epoch": 19.5, + "learning_rate": 2.988505747126437e-06, + "loss": 1.3542, + "step": 2125 + }, + { + "epoch": 19.5, + "learning_rate": 2.942528735632184e-06, + "loss": 1.5246, + "step": 2126 + }, + { + "epoch": 19.51, + "learning_rate": 2.8965517241379314e-06, + "loss": 1.9956, + "step": 2127 + }, + { + "epoch": 19.52, + "learning_rate": 2.8505747126436786e-06, + "loss": 2.1634, + "step": 2128 + }, + { + "epoch": 19.53, + "learning_rate": 2.8045977011494253e-06, + "loss": 1.8049, + "step": 2129 + }, + { + "epoch": 19.54, + "learning_rate": 2.7586206896551725e-06, + "loss": 1.555, + "step": 2130 + }, + { + "epoch": 19.55, + "learning_rate": 2.7126436781609197e-06, + "loss": 1.5581, + "step": 2131 + }, + { + "epoch": 19.56, + "learning_rate": 2.666666666666667e-06, + "loss": 1.709, + "step": 2132 + }, + { + "epoch": 19.57, + "learning_rate": 2.620689655172414e-06, + "loss": 1.8364, + "step": 2133 + }, + { + "epoch": 19.58, + "learning_rate": 2.574712643678161e-06, + "loss": 1.7524, + "step": 2134 + }, + { + "epoch": 19.59, + "learning_rate": 2.5287356321839083e-06, + "loss": 2.4427, + "step": 2135 + }, + { + "epoch": 19.6, + "learning_rate": 2.482758620689655e-06, + "loss": 1.5676, + "step": 2136 + }, + { + "epoch": 19.61, + "learning_rate": 2.4367816091954022e-06, + "loss": 2.2926, + "step": 2137 + }, + { + "epoch": 19.61, + "learning_rate": 2.39080459770115e-06, + "loss": 2.0679, + "step": 2138 + }, + { + "epoch": 19.62, + "learning_rate": 2.3448275862068966e-06, + "loss": 1.6076, + "step": 2139 + }, + { + "epoch": 19.63, + "learning_rate": 2.2988505747126437e-06, + "loss": 1.4717, + "step": 2140 + }, + { + "epoch": 19.64, + "learning_rate": 2.252873563218391e-06, + "loss": 1.9429, + "step": 2141 + }, + { + "epoch": 19.65, + "learning_rate": 2.2068965517241377e-06, + "loss": 1.9751, + "step": 2142 + }, + { + "epoch": 19.66, + "learning_rate": 2.1609195402298852e-06, + "loss": 1.5581, + "step": 2143 + }, + { + "epoch": 19.67, + "learning_rate": 2.1149425287356324e-06, + "loss": 1.6296, + "step": 2144 + }, + { + "epoch": 19.68, + "learning_rate": 2.0689655172413796e-06, + "loss": 2.6944, + "step": 2145 + }, + { + "epoch": 19.69, + "learning_rate": 2.0229885057471263e-06, + "loss": 1.5285, + "step": 2146 + }, + { + "epoch": 19.7, + "learning_rate": 1.9770114942528735e-06, + "loss": 1.6525, + "step": 2147 + }, + { + "epoch": 19.71, + "learning_rate": 1.931034482758621e-06, + "loss": 2.1895, + "step": 2148 + }, + { + "epoch": 19.72, + "learning_rate": 1.885057471264368e-06, + "loss": 2.2881, + "step": 2149 + }, + { + "epoch": 19.72, + "learning_rate": 1.839080459770115e-06, + "loss": 1.3332, + "step": 2150 + }, + { + "epoch": 19.73, + "learning_rate": 1.7931034482758622e-06, + "loss": 1.8159, + "step": 2151 + }, + { + "epoch": 19.74, + "learning_rate": 1.7471264367816091e-06, + "loss": 2.2511, + "step": 2152 + }, + { + "epoch": 19.75, + "learning_rate": 1.7011494252873565e-06, + "loss": 1.744, + "step": 2153 + }, + { + "epoch": 19.76, + "learning_rate": 1.6551724137931037e-06, + "loss": 1.7443, + "step": 2154 + }, + { + "epoch": 19.77, + "learning_rate": 1.6091954022988506e-06, + "loss": 1.4425, + "step": 2155 + }, + { + "epoch": 19.78, + "learning_rate": 1.5632183908045978e-06, + "loss": 1.8097, + "step": 2156 + }, + { + "epoch": 19.79, + "learning_rate": 1.517241379310345e-06, + "loss": 1.7868, + "step": 2157 + }, + { + "epoch": 19.8, + "learning_rate": 1.471264367816092e-06, + "loss": 1.728, + "step": 2158 + }, + { + "epoch": 19.81, + "learning_rate": 1.4252873563218393e-06, + "loss": 1.5975, + "step": 2159 + }, + { + "epoch": 19.82, + "learning_rate": 1.3793103448275862e-06, + "loss": 1.7236, + "step": 2160 + }, + { + "epoch": 19.83, + "learning_rate": 1.3333333333333334e-06, + "loss": 1.8273, + "step": 2161 + }, + { + "epoch": 19.83, + "learning_rate": 1.2873563218390806e-06, + "loss": 1.5047, + "step": 2162 + }, + { + "epoch": 19.84, + "learning_rate": 1.2413793103448275e-06, + "loss": 2.2744, + "step": 2163 + }, + { + "epoch": 19.85, + "learning_rate": 1.195402298850575e-06, + "loss": 2.432, + "step": 2164 + }, + { + "epoch": 19.86, + "learning_rate": 1.1494252873563219e-06, + "loss": 1.8094, + "step": 2165 + }, + { + "epoch": 19.87, + "learning_rate": 1.1034482758620688e-06, + "loss": 1.8114, + "step": 2166 + }, + { + "epoch": 19.88, + "learning_rate": 1.0574712643678162e-06, + "loss": 1.8494, + "step": 2167 + }, + { + "epoch": 19.89, + "learning_rate": 1.0114942528735632e-06, + "loss": 1.4665, + "step": 2168 + }, + { + "epoch": 19.9, + "learning_rate": 9.655172413793105e-07, + "loss": 1.5801, + "step": 2169 + }, + { + "epoch": 19.91, + "learning_rate": 9.195402298850575e-07, + "loss": 1.8141, + "step": 2170 + }, + { + "epoch": 19.92, + "learning_rate": 8.735632183908046e-07, + "loss": 1.9564, + "step": 2171 + }, + { + "epoch": 19.93, + "learning_rate": 8.275862068965518e-07, + "loss": 1.7217, + "step": 2172 + }, + { + "epoch": 19.94, + "learning_rate": 7.816091954022989e-07, + "loss": 1.6777, + "step": 2173 + }, + { + "epoch": 19.94, + "learning_rate": 7.35632183908046e-07, + "loss": 1.5667, + "step": 2174 + }, + { + "epoch": 19.95, + "learning_rate": 6.896551724137931e-07, + "loss": 1.6799, + "step": 2175 + }, + { + "epoch": 19.96, + "learning_rate": 6.436781609195403e-07, + "loss": 1.6877, + "step": 2176 + }, + { + "epoch": 19.97, + "learning_rate": 5.977011494252875e-07, + "loss": 1.9862, + "step": 2177 + }, + { + "epoch": 19.98, + "learning_rate": 5.517241379310344e-07, + "loss": 1.658, + "step": 2178 + }, + { + "epoch": 19.99, + "learning_rate": 5.057471264367816e-07, + "loss": 2.0682, + "step": 2179 + }, + { + "epoch": 20.0, + "learning_rate": 4.5977011494252875e-07, + "loss": 1.4072, + "step": 2180 + }, + { + "epoch": 20.0, + "eval_accuracy": 0.23780487804878048, + "eval_loss": 1.886708378791809, + "eval_runtime": 13.8709, + "eval_samples_per_second": 11.823, + "eval_steps_per_second": 1.514, + "step": 2180 + }, + { + "epoch": 20.0, + "step": 2180, + "total_flos": 1.2663415269359616e+17, + "train_loss": 1.7466916341539105, + "train_runtime": 4318.1089, + "train_samples_per_second": 3.024, + "train_steps_per_second": 0.505 + } + ], + "logging_steps": 1, + "max_steps": 2180, + "num_train_epochs": 20, + "save_steps": 500, + "total_flos": 1.2663415269359616e+17, + "trial_name": null, + "trial_params": null +}