{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "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": 38.5792, "step": 1 }, { "epoch": 0.02, "learning_rate": 0.0, "loss": 37.0162, "step": 2 }, { "epoch": 0.03, "learning_rate": 1e-06, "loss": 39.6498, "step": 3 }, { "epoch": 0.04, "learning_rate": 2e-06, "loss": 37.9353, "step": 4 }, { "epoch": 0.05, "learning_rate": 2e-06, "loss": 37.3926, "step": 5 }, { "epoch": 0.06, "learning_rate": 3e-06, "loss": 38.9023, "step": 6 }, { "epoch": 0.06, "learning_rate": 4e-06, "loss": 37.7523, "step": 7 }, { "epoch": 0.07, "learning_rate": 5e-06, "loss": 37.6599, "step": 8 }, { "epoch": 0.08, "learning_rate": 6e-06, "loss": 36.2328, "step": 9 }, { "epoch": 0.09, "learning_rate": 7e-06, "loss": 32.7578, "step": 10 }, { "epoch": 0.1, "learning_rate": 8e-06, "loss": 36.521, "step": 11 }, { "epoch": 0.11, "learning_rate": 9e-06, "loss": 36.5731, "step": 12 }, { "epoch": 0.12, "learning_rate": 1e-05, "loss": 38.2846, "step": 13 }, { "epoch": 0.13, "learning_rate": 1.1e-05, "loss": 33.8493, "step": 14 }, { "epoch": 0.14, "learning_rate": 1.2e-05, "loss": 36.5712, "step": 15 }, { "epoch": 0.15, "learning_rate": 1.3e-05, "loss": 34.8204, "step": 16 }, { "epoch": 0.16, "learning_rate": 1.4e-05, "loss": 33.1536, "step": 17 }, { "epoch": 0.17, "learning_rate": 1.5e-05, "loss": 34.1219, "step": 18 }, { "epoch": 0.17, "learning_rate": 1.6e-05, "loss": 36.0866, "step": 19 }, { "epoch": 0.18, "learning_rate": 1.7000000000000003e-05, "loss": 32.673, "step": 20 }, { "epoch": 0.19, "learning_rate": 1.8e-05, "loss": 37.8781, "step": 21 }, { "epoch": 0.2, "learning_rate": 1.9e-05, "loss": 31.2217, "step": 22 }, { "epoch": 0.21, "learning_rate": 2e-05, "loss": 37.2818, "step": 23 }, { "epoch": 0.22, "learning_rate": 2.1000000000000002e-05, "loss": 34.9108, "step": 24 }, { "epoch": 0.23, "learning_rate": 2.2e-05, "loss": 37.8733, "step": 25 }, { "epoch": 0.24, "learning_rate": 2.3e-05, "loss": 38.0091, "step": 26 }, { "epoch": 0.25, "learning_rate": 2.4e-05, "loss": 36.1274, "step": 27 }, { "epoch": 0.26, "learning_rate": 2.5e-05, "loss": 34.8621, "step": 28 }, { "epoch": 0.27, "learning_rate": 2.6e-05, "loss": 31.4434, "step": 29 }, { "epoch": 0.28, "learning_rate": 2.7e-05, "loss": 28.9744, "step": 30 }, { "epoch": 0.28, "learning_rate": 2.8e-05, "loss": 29.4037, "step": 31 }, { "epoch": 0.29, "learning_rate": 2.9000000000000004e-05, "loss": 29.3016, "step": 32 }, { "epoch": 0.3, "learning_rate": 3e-05, "loss": 28.9117, "step": 33 }, { "epoch": 0.31, "learning_rate": 3.1e-05, "loss": 28.1706, "step": 34 }, { "epoch": 0.32, "learning_rate": 3.2e-05, "loss": 26.2272, "step": 35 }, { "epoch": 0.33, "learning_rate": 3.3e-05, "loss": 24.7177, "step": 36 }, { "epoch": 0.34, "learning_rate": 3.4000000000000007e-05, "loss": 24.2448, "step": 37 }, { "epoch": 0.35, "learning_rate": 3.5000000000000004e-05, "loss": 23.2494, "step": 38 }, { "epoch": 0.36, "learning_rate": 3.6e-05, "loss": 23.724, "step": 39 }, { "epoch": 0.37, "learning_rate": 3.7e-05, "loss": 22.8256, "step": 40 }, { "epoch": 0.38, "learning_rate": 3.8e-05, "loss": 22.0102, "step": 41 }, { "epoch": 0.39, "learning_rate": 3.9e-05, "loss": 20.4507, "step": 42 }, { "epoch": 0.39, "learning_rate": 4e-05, "loss": 19.7054, "step": 43 }, { "epoch": 0.4, "learning_rate": 4.1e-05, "loss": 18.8839, "step": 44 }, { "epoch": 0.41, "learning_rate": 4.2000000000000004e-05, "loss": 18.8487, "step": 45 }, { "epoch": 0.42, "learning_rate": 4.2999999999999995e-05, "loss": 19.5023, "step": 46 }, { "epoch": 0.43, "learning_rate": 4.4e-05, "loss": 20.0338, "step": 47 }, { "epoch": 0.44, "learning_rate": 4.4999999999999996e-05, "loss": 21.0323, "step": 48 }, { "epoch": 0.45, "learning_rate": 4.6e-05, "loss": 20.2858, "step": 49 }, { "epoch": 0.46, "learning_rate": 4.7000000000000004e-05, "loss": 17.9252, "step": 50 }, { "epoch": 0.47, "learning_rate": 4.8e-05, "loss": 20.4729, "step": 51 }, { "epoch": 0.48, "learning_rate": 4.9000000000000005e-05, "loss": 18.9176, "step": 52 }, { "epoch": 0.49, "learning_rate": 5e-05, "loss": 20.5586, "step": 53 }, { "epoch": 0.5, "learning_rate": 5.1e-05, "loss": 19.3151, "step": 54 }, { "epoch": 0.5, "learning_rate": 5.2e-05, "loss": 17.6831, "step": 55 }, { "epoch": 0.51, "learning_rate": 5.3e-05, "loss": 18.0072, "step": 56 }, { "epoch": 0.52, "learning_rate": 5.4e-05, "loss": 18.041, "step": 57 }, { "epoch": 0.53, "learning_rate": 5.5e-05, "loss": 17.3918, "step": 58 }, { "epoch": 0.54, "learning_rate": 5.6e-05, "loss": 16.5541, "step": 59 }, { "epoch": 0.55, "learning_rate": 5.7e-05, "loss": 16.5265, "step": 60 }, { "epoch": 0.56, "learning_rate": 5.800000000000001e-05, "loss": 17.0845, "step": 61 }, { "epoch": 0.57, "learning_rate": 5.9e-05, "loss": 16.8278, "step": 62 }, { "epoch": 0.58, "learning_rate": 6e-05, "loss": 16.1681, "step": 63 }, { "epoch": 0.59, "learning_rate": 6.1e-05, "loss": 15.374, "step": 64 }, { "epoch": 0.6, "learning_rate": 6.2e-05, "loss": 14.8997, "step": 65 }, { "epoch": 0.61, "learning_rate": 6.3e-05, "loss": 14.3692, "step": 66 }, { "epoch": 0.61, "learning_rate": 6.4e-05, "loss": 16.3112, "step": 67 }, { "epoch": 0.62, "learning_rate": 6.500000000000001e-05, "loss": 14.3636, "step": 68 }, { "epoch": 0.63, "learning_rate": 6.6e-05, "loss": 14.9014, "step": 69 }, { "epoch": 0.64, "learning_rate": 6.7e-05, "loss": 15.0173, "step": 70 }, { "epoch": 0.65, "learning_rate": 6.800000000000001e-05, "loss": 14.7624, "step": 71 }, { "epoch": 0.66, "learning_rate": 6.900000000000001e-05, "loss": 13.5398, "step": 72 }, { "epoch": 0.67, "learning_rate": 7.000000000000001e-05, "loss": 13.993, "step": 73 }, { "epoch": 0.68, "learning_rate": 7.099999999999999e-05, "loss": 14.214, "step": 74 }, { "epoch": 0.69, "learning_rate": 7.2e-05, "loss": 14.3255, "step": 75 }, { "epoch": 0.7, "learning_rate": 7.2e-05, "loss": 15.4427, "step": 76 }, { "epoch": 0.71, "learning_rate": 7.3e-05, "loss": 15.4043, "step": 77 }, { "epoch": 0.72, "learning_rate": 7.4e-05, "loss": 15.5085, "step": 78 }, { "epoch": 0.72, "learning_rate": 7.5e-05, "loss": 14.457, "step": 79 }, { "epoch": 0.73, "learning_rate": 7.6e-05, "loss": 14.4357, "step": 80 }, { "epoch": 0.74, "learning_rate": 7.7e-05, "loss": 13.9193, "step": 81 }, { "epoch": 0.75, "learning_rate": 7.8e-05, "loss": 13.7483, "step": 82 }, { "epoch": 0.76, "learning_rate": 7.9e-05, "loss": 13.7121, "step": 83 }, { "epoch": 0.77, "learning_rate": 8e-05, "loss": 13.3313, "step": 84 }, { "epoch": 0.78, "learning_rate": 8.1e-05, "loss": 13.4978, "step": 85 }, { "epoch": 0.79, "learning_rate": 8.2e-05, "loss": 12.4055, "step": 86 }, { "epoch": 0.8, "learning_rate": 8.300000000000001e-05, "loss": 12.8827, "step": 87 }, { "epoch": 0.81, "learning_rate": 8.400000000000001e-05, "loss": 11.9554, "step": 88 }, { "epoch": 0.82, "learning_rate": 8.5e-05, "loss": 12.515, "step": 89 }, { "epoch": 0.83, "learning_rate": 8.599999999999999e-05, "loss": 12.1079, "step": 90 }, { "epoch": 0.83, "learning_rate": 8.7e-05, "loss": 11.9346, "step": 91 }, { "epoch": 0.84, "learning_rate": 8.8e-05, "loss": 12.0008, "step": 92 }, { "epoch": 0.85, "learning_rate": 8.9e-05, "loss": 11.4768, "step": 93 }, { "epoch": 0.86, "learning_rate": 8.999999999999999e-05, "loss": 11.501, "step": 94 }, { "epoch": 0.87, "learning_rate": 9.1e-05, "loss": 11.2109, "step": 95 }, { "epoch": 0.88, "learning_rate": 9.2e-05, "loss": 11.383, "step": 96 }, { "epoch": 0.89, "learning_rate": 9.3e-05, "loss": 11.4743, "step": 97 }, { "epoch": 0.9, "learning_rate": 9.400000000000001e-05, "loss": 11.2624, "step": 98 }, { "epoch": 0.91, "learning_rate": 9.5e-05, "loss": 10.2995, "step": 99 }, { "epoch": 0.92, "learning_rate": 9.6e-05, "loss": 13.6687, "step": 100 }, { "epoch": 0.92, "eval_loss": 12.456720352172852, "eval_runtime": 35.8714, "eval_samples_per_second": 45.914, "eval_steps_per_second": 2.871, "eval_wer": 1.0, "step": 100 }, { "epoch": 0.93, "learning_rate": 9.7e-05, "loss": 11.5921, "step": 101 }, { "epoch": 0.94, "learning_rate": 9.800000000000001e-05, "loss": 11.1113, "step": 102 }, { "epoch": 0.94, "learning_rate": 9.900000000000001e-05, "loss": 10.4269, "step": 103 }, { "epoch": 0.95, "learning_rate": 0.0001, "loss": 10.6538, "step": 104 }, { "epoch": 0.96, "learning_rate": 0.000101, "loss": 10.1798, "step": 105 }, { "epoch": 0.97, "learning_rate": 0.000102, "loss": 10.1534, "step": 106 }, { "epoch": 0.98, "learning_rate": 0.000103, "loss": 9.3504, "step": 107 }, { "epoch": 0.99, "learning_rate": 0.000104, "loss": 9.7509, "step": 108 }, { "epoch": 1.0, "learning_rate": 0.000105, "loss": 9.93, "step": 109 }, { "epoch": 1.01, "learning_rate": 0.000106, "loss": 9.5797, "step": 110 }, { "epoch": 1.02, "learning_rate": 0.000107, "loss": 10.0161, "step": 111 }, { "epoch": 1.03, "learning_rate": 0.000108, "loss": 9.5943, "step": 112 }, { "epoch": 1.04, "learning_rate": 0.000109, "loss": 9.5237, "step": 113 }, { "epoch": 1.05, "learning_rate": 0.00011, "loss": 8.9127, "step": 114 }, { "epoch": 1.06, "learning_rate": 0.000111, "loss": 9.7015, "step": 115 }, { "epoch": 1.06, "learning_rate": 0.000112, "loss": 8.7284, "step": 116 }, { "epoch": 1.07, "learning_rate": 0.00011300000000000001, "loss": 9.1047, "step": 117 }, { "epoch": 1.08, "learning_rate": 0.000114, "loss": 8.1133, "step": 118 }, { "epoch": 1.09, "learning_rate": 0.000115, "loss": 7.8652, "step": 119 }, { "epoch": 1.1, "learning_rate": 0.00011600000000000001, "loss": 8.3011, "step": 120 }, { "epoch": 1.11, "learning_rate": 0.00011700000000000001, "loss": 8.0768, "step": 121 }, { "epoch": 1.12, "learning_rate": 0.000118, "loss": 7.885, "step": 122 }, { "epoch": 1.13, "learning_rate": 0.00011899999999999999, "loss": 7.5906, "step": 123 }, { "epoch": 1.14, "learning_rate": 0.00012, "loss": 7.3021, "step": 124 }, { "epoch": 1.15, "learning_rate": 0.000121, "loss": 7.5019, "step": 125 }, { "epoch": 1.16, "learning_rate": 0.000122, "loss": 6.9366, "step": 126 }, { "epoch": 1.17, "learning_rate": 0.000123, "loss": 6.7988, "step": 127 }, { "epoch": 1.17, "learning_rate": 0.000124, "loss": 7.0515, "step": 128 }, { "epoch": 1.18, "learning_rate": 0.000125, "loss": 6.3643, "step": 129 }, { "epoch": 1.19, "learning_rate": 0.000126, "loss": 6.438, "step": 130 }, { "epoch": 1.2, "learning_rate": 0.000127, "loss": 6.3211, "step": 131 }, { "epoch": 1.21, "learning_rate": 0.000128, "loss": 6.4368, "step": 132 }, { "epoch": 1.22, "learning_rate": 0.00012900000000000002, "loss": 6.2782, "step": 133 }, { "epoch": 1.23, "learning_rate": 0.00013000000000000002, "loss": 7.5731, "step": 134 }, { "epoch": 1.24, "learning_rate": 0.000131, "loss": 6.3343, "step": 135 }, { "epoch": 1.25, "learning_rate": 0.000132, "loss": 6.0038, "step": 136 }, { "epoch": 1.26, "learning_rate": 0.000133, "loss": 6.2357, "step": 137 }, { "epoch": 1.27, "learning_rate": 0.000134, "loss": 5.9097, "step": 138 }, { "epoch": 1.28, "learning_rate": 0.000135, "loss": 5.8111, "step": 139 }, { "epoch": 1.28, "learning_rate": 0.00013600000000000003, "loss": 5.6715, "step": 140 }, { "epoch": 1.29, "learning_rate": 0.00013700000000000002, "loss": 5.5072, "step": 141 }, { "epoch": 1.3, "learning_rate": 0.00013800000000000002, "loss": 5.5216, "step": 142 }, { "epoch": 1.31, "learning_rate": 0.00013900000000000002, "loss": 5.4142, "step": 143 }, { "epoch": 1.32, "learning_rate": 0.00014000000000000001, "loss": 5.0936, "step": 144 }, { "epoch": 1.33, "learning_rate": 0.00014099999999999998, "loss": 5.1922, "step": 145 }, { "epoch": 1.34, "learning_rate": 0.00014199999999999998, "loss": 5.096, "step": 146 }, { "epoch": 1.35, "learning_rate": 0.00014299999999999998, "loss": 4.9215, "step": 147 }, { "epoch": 1.36, "learning_rate": 0.000144, "loss": 5.0267, "step": 148 }, { "epoch": 1.37, "learning_rate": 0.000145, "loss": 4.7844, "step": 149 }, { "epoch": 1.38, "learning_rate": 0.000146, "loss": 4.7324, "step": 150 }, { "epoch": 1.39, "learning_rate": 0.000147, "loss": 4.653, "step": 151 }, { "epoch": 1.39, "learning_rate": 0.000148, "loss": 4.5143, "step": 152 }, { "epoch": 1.4, "learning_rate": 0.000149, "loss": 4.5446, "step": 153 }, { "epoch": 1.41, "learning_rate": 0.00015, "loss": 4.5102, "step": 154 }, { "epoch": 1.42, "learning_rate": 0.000151, "loss": 4.4171, "step": 155 }, { "epoch": 1.43, "learning_rate": 0.000152, "loss": 4.4132, "step": 156 }, { "epoch": 1.44, "learning_rate": 0.000153, "loss": 4.4959, "step": 157 }, { "epoch": 1.45, "learning_rate": 0.000154, "loss": 4.2654, "step": 158 }, { "epoch": 1.46, "learning_rate": 0.000155, "loss": 4.4156, "step": 159 }, { "epoch": 1.47, "learning_rate": 0.000156, "loss": 4.209, "step": 160 }, { "epoch": 1.48, "learning_rate": 0.000157, "loss": 4.0884, "step": 161 }, { "epoch": 1.49, "learning_rate": 0.000158, "loss": 4.0367, "step": 162 }, { "epoch": 1.5, "learning_rate": 0.00015900000000000002, "loss": 3.9577, "step": 163 }, { "epoch": 1.5, "learning_rate": 0.00016, "loss": 3.9339, "step": 164 }, { "epoch": 1.51, "learning_rate": 0.000161, "loss": 3.8781, "step": 165 }, { "epoch": 1.52, "learning_rate": 0.000162, "loss": 3.8486, "step": 166 }, { "epoch": 1.53, "learning_rate": 0.000163, "loss": 3.8499, "step": 167 }, { "epoch": 1.54, "learning_rate": 0.000164, "loss": 3.7434, "step": 168 }, { "epoch": 1.55, "learning_rate": 0.000165, "loss": 3.7463, "step": 169 }, { "epoch": 1.56, "learning_rate": 0.00016600000000000002, "loss": 3.6791, "step": 170 }, { "epoch": 1.57, "learning_rate": 0.00016700000000000002, "loss": 3.8176, "step": 171 }, { "epoch": 1.58, "learning_rate": 0.00016800000000000002, "loss": 3.636, "step": 172 }, { "epoch": 1.59, "learning_rate": 0.00016900000000000002, "loss": 3.6684, "step": 173 }, { "epoch": 1.6, "learning_rate": 0.00017, "loss": 3.5822, "step": 174 }, { "epoch": 1.61, "learning_rate": 0.000171, "loss": 3.5428, "step": 175 }, { "epoch": 1.61, "learning_rate": 0.00017199999999999998, "loss": 3.5849, "step": 176 }, { "epoch": 1.62, "learning_rate": 0.000173, "loss": 3.4901, "step": 177 }, { "epoch": 1.63, "learning_rate": 0.000174, "loss": 3.5467, "step": 178 }, { "epoch": 1.64, "learning_rate": 0.000175, "loss": 3.5479, "step": 179 }, { "epoch": 1.65, "learning_rate": 0.000176, "loss": 3.5558, "step": 180 }, { "epoch": 1.66, "learning_rate": 0.000177, "loss": 3.5238, "step": 181 }, { "epoch": 1.67, "learning_rate": 0.000178, "loss": 3.5594, "step": 182 }, { "epoch": 1.68, "learning_rate": 0.000179, "loss": 3.5816, "step": 183 }, { "epoch": 1.69, "learning_rate": 0.00017999999999999998, "loss": 3.622, "step": 184 }, { "epoch": 1.7, "learning_rate": 0.000181, "loss": 3.4921, "step": 185 }, { "epoch": 1.71, "learning_rate": 0.000182, "loss": 3.4206, "step": 186 }, { "epoch": 1.72, "learning_rate": 0.000183, "loss": 3.4675, "step": 187 }, { "epoch": 1.72, "learning_rate": 0.000184, "loss": 3.3869, "step": 188 }, { "epoch": 1.73, "learning_rate": 0.000185, "loss": 3.4207, "step": 189 }, { "epoch": 1.74, "learning_rate": 0.000186, "loss": 3.382, "step": 190 }, { "epoch": 1.75, "learning_rate": 0.000187, "loss": 3.4191, "step": 191 }, { "epoch": 1.76, "learning_rate": 0.00018800000000000002, "loss": 3.4345, "step": 192 }, { "epoch": 1.77, "learning_rate": 0.000189, "loss": 3.4167, "step": 193 }, { "epoch": 1.78, "learning_rate": 0.00019, "loss": 3.4177, "step": 194 }, { "epoch": 1.79, "learning_rate": 0.000191, "loss": 3.4371, "step": 195 }, { "epoch": 1.8, "learning_rate": 0.000192, "loss": 3.3914, "step": 196 }, { "epoch": 1.81, "learning_rate": 0.000193, "loss": 3.4371, "step": 197 }, { "epoch": 1.82, "learning_rate": 0.000194, "loss": 3.3699, "step": 198 }, { "epoch": 1.83, "learning_rate": 0.00019500000000000002, "loss": 3.4108, "step": 199 }, { "epoch": 1.83, "learning_rate": 0.00019600000000000002, "loss": 3.4219, "step": 200 }, { "epoch": 1.83, "eval_loss": 3.4703733921051025, "eval_runtime": 36.3034, "eval_samples_per_second": 45.368, "eval_steps_per_second": 2.837, "eval_wer": 1.0, "step": 200 }, { "epoch": 1.84, "learning_rate": 0.00019700000000000002, "loss": 3.4513, "step": 201 }, { "epoch": 1.85, "learning_rate": 0.00019800000000000002, "loss": 3.3579, "step": 202 }, { "epoch": 1.86, "learning_rate": 0.000199, "loss": 3.4298, "step": 203 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 3.5704, "step": 204 }, { "epoch": 1.88, "learning_rate": 0.000201, "loss": 3.3696, "step": 205 }, { "epoch": 1.89, "learning_rate": 0.000202, "loss": 3.3891, "step": 206 }, { "epoch": 1.9, "learning_rate": 0.00020300000000000003, "loss": 3.4279, "step": 207 }, { "epoch": 1.91, "learning_rate": 0.000204, "loss": 3.4615, "step": 208 }, { "epoch": 1.92, "learning_rate": 0.000205, "loss": 3.557, "step": 209 }, { "epoch": 1.93, "learning_rate": 0.000206, "loss": 3.3266, "step": 210 }, { "epoch": 1.94, "learning_rate": 0.000207, "loss": 3.4195, "step": 211 }, { "epoch": 1.94, "learning_rate": 0.000208, "loss": 3.3603, "step": 212 }, { "epoch": 1.95, "learning_rate": 0.00020899999999999998, "loss": 3.3904, "step": 213 }, { "epoch": 1.96, "learning_rate": 0.00021, "loss": 3.3271, "step": 214 }, { "epoch": 1.97, "learning_rate": 0.000211, "loss": 3.3431, "step": 215 }, { "epoch": 1.98, "learning_rate": 0.000212, "loss": 3.3564, "step": 216 }, { "epoch": 1.99, "learning_rate": 0.000213, "loss": 3.3976, "step": 217 }, { "epoch": 2.0, "learning_rate": 0.000214, "loss": 3.3896, "step": 218 }, { "epoch": 2.01, "learning_rate": 0.000215, "loss": 3.3424, "step": 219 }, { "epoch": 2.02, "learning_rate": 0.000216, "loss": 3.2927, "step": 220 }, { "epoch": 2.03, "learning_rate": 0.00021700000000000002, "loss": 3.3482, "step": 221 }, { "epoch": 2.04, "learning_rate": 0.000218, "loss": 3.3295, "step": 222 }, { "epoch": 2.05, "learning_rate": 0.000219, "loss": 3.3461, "step": 223 }, { "epoch": 2.06, "learning_rate": 0.00022, "loss": 3.3533, "step": 224 }, { "epoch": 2.06, "learning_rate": 0.000221, "loss": 3.2775, "step": 225 }, { "epoch": 2.07, "learning_rate": 0.000222, "loss": 3.3536, "step": 226 }, { "epoch": 2.08, "learning_rate": 0.000223, "loss": 3.3446, "step": 227 }, { "epoch": 2.09, "learning_rate": 0.000224, "loss": 3.2963, "step": 228 }, { "epoch": 2.1, "learning_rate": 0.00022500000000000002, "loss": 3.2853, "step": 229 }, { "epoch": 2.11, "learning_rate": 0.00022600000000000002, "loss": 3.3773, "step": 230 }, { "epoch": 2.12, "learning_rate": 0.00022700000000000002, "loss": 3.3429, "step": 231 }, { "epoch": 2.13, "learning_rate": 0.000228, "loss": 3.3102, "step": 232 }, { "epoch": 2.14, "learning_rate": 0.000229, "loss": 3.3508, "step": 233 }, { "epoch": 2.15, "learning_rate": 0.00023, "loss": 3.3172, "step": 234 }, { "epoch": 2.16, "learning_rate": 0.000231, "loss": 3.3283, "step": 235 }, { "epoch": 2.17, "learning_rate": 0.00023200000000000003, "loss": 3.3122, "step": 236 }, { "epoch": 2.17, "learning_rate": 0.00023300000000000003, "loss": 3.3299, "step": 237 }, { "epoch": 2.18, "learning_rate": 0.00023400000000000002, "loss": 3.3632, "step": 238 }, { "epoch": 2.19, "learning_rate": 0.000235, "loss": 3.2774, "step": 239 }, { "epoch": 2.2, "learning_rate": 0.000236, "loss": 3.3316, "step": 240 }, { "epoch": 2.21, "learning_rate": 0.000237, "loss": 3.319, "step": 241 }, { "epoch": 2.22, "learning_rate": 0.00023799999999999998, "loss": 3.2672, "step": 242 }, { "epoch": 2.23, "learning_rate": 0.00023899999999999998, "loss": 3.4331, "step": 243 }, { "epoch": 2.24, "learning_rate": 0.00024, "loss": 3.3221, "step": 244 }, { "epoch": 2.25, "learning_rate": 0.000241, "loss": 3.321, "step": 245 }, { "epoch": 2.26, "learning_rate": 0.000242, "loss": 3.3073, "step": 246 }, { "epoch": 2.27, "learning_rate": 0.000243, "loss": 3.298, "step": 247 }, { "epoch": 2.28, "learning_rate": 0.000244, "loss": 3.3197, "step": 248 }, { "epoch": 2.28, "learning_rate": 0.000245, "loss": 3.3396, "step": 249 }, { "epoch": 2.29, "learning_rate": 0.000246, "loss": 3.2956, "step": 250 }, { "epoch": 2.3, "learning_rate": 0.000247, "loss": 3.2701, "step": 251 }, { "epoch": 2.31, "learning_rate": 0.000248, "loss": 3.318, "step": 252 }, { "epoch": 2.32, "learning_rate": 0.000249, "loss": 3.3168, "step": 253 }, { "epoch": 2.33, "learning_rate": 0.00025, "loss": 3.2829, "step": 254 }, { "epoch": 2.34, "learning_rate": 0.00025100000000000003, "loss": 3.2794, "step": 255 }, { "epoch": 2.35, "learning_rate": 0.000252, "loss": 3.3066, "step": 256 }, { "epoch": 2.36, "learning_rate": 0.000253, "loss": 3.328, "step": 257 }, { "epoch": 2.37, "learning_rate": 0.000254, "loss": 3.2912, "step": 258 }, { "epoch": 2.38, "learning_rate": 0.000255, "loss": 3.3403, "step": 259 }, { "epoch": 2.39, "learning_rate": 0.000256, "loss": 3.2552, "step": 260 }, { "epoch": 2.39, "learning_rate": 0.000257, "loss": 3.2576, "step": 261 }, { "epoch": 2.4, "learning_rate": 0.00025800000000000004, "loss": 3.2743, "step": 262 }, { "epoch": 2.41, "learning_rate": 0.000259, "loss": 3.2991, "step": 263 }, { "epoch": 2.42, "learning_rate": 0.00026000000000000003, "loss": 3.32, "step": 264 }, { "epoch": 2.43, "learning_rate": 0.000261, "loss": 3.2453, "step": 265 }, { "epoch": 2.44, "learning_rate": 0.000262, "loss": 3.2475, "step": 266 }, { "epoch": 2.45, "learning_rate": 0.000263, "loss": 3.3388, "step": 267 }, { "epoch": 2.46, "learning_rate": 0.000264, "loss": 3.3154, "step": 268 }, { "epoch": 2.47, "learning_rate": 0.00026500000000000004, "loss": 3.2821, "step": 269 }, { "epoch": 2.48, "learning_rate": 0.000266, "loss": 3.2592, "step": 270 }, { "epoch": 2.49, "learning_rate": 0.00026700000000000004, "loss": 3.2073, "step": 271 }, { "epoch": 2.5, "learning_rate": 0.000268, "loss": 3.3326, "step": 272 }, { "epoch": 2.5, "learning_rate": 0.00026900000000000003, "loss": 3.2591, "step": 273 }, { "epoch": 2.51, "learning_rate": 0.00027, "loss": 3.3079, "step": 274 }, { "epoch": 2.52, "learning_rate": 0.00027100000000000003, "loss": 3.2713, "step": 275 }, { "epoch": 2.53, "learning_rate": 0.00027200000000000005, "loss": 3.2584, "step": 276 }, { "epoch": 2.54, "learning_rate": 0.000273, "loss": 3.2096, "step": 277 }, { "epoch": 2.55, "learning_rate": 0.00027400000000000005, "loss": 3.2723, "step": 278 }, { "epoch": 2.56, "learning_rate": 0.000275, "loss": 3.2386, "step": 279 }, { "epoch": 2.57, "learning_rate": 0.00027600000000000004, "loss": 3.2419, "step": 280 }, { "epoch": 2.58, "learning_rate": 0.000277, "loss": 3.1943, "step": 281 }, { "epoch": 2.59, "learning_rate": 0.00027800000000000004, "loss": 3.2158, "step": 282 }, { "epoch": 2.6, "learning_rate": 0.000279, "loss": 3.277, "step": 283 }, { "epoch": 2.61, "learning_rate": 0.00028000000000000003, "loss": 3.1875, "step": 284 }, { "epoch": 2.61, "learning_rate": 0.00028100000000000005, "loss": 3.2061, "step": 285 }, { "epoch": 2.62, "learning_rate": 0.00028199999999999997, "loss": 3.1763, "step": 286 }, { "epoch": 2.63, "learning_rate": 0.000283, "loss": 3.21, "step": 287 }, { "epoch": 2.64, "learning_rate": 0.00028399999999999996, "loss": 3.239, "step": 288 }, { "epoch": 2.65, "learning_rate": 0.000285, "loss": 3.2045, "step": 289 }, { "epoch": 2.66, "learning_rate": 0.00028599999999999996, "loss": 3.2626, "step": 290 }, { "epoch": 2.67, "learning_rate": 0.000287, "loss": 3.2211, "step": 291 }, { "epoch": 2.68, "learning_rate": 0.000288, "loss": 3.3022, "step": 292 }, { "epoch": 2.69, "learning_rate": 0.000289, "loss": 3.2887, "step": 293 }, { "epoch": 2.7, "learning_rate": 0.00029, "loss": 3.2014, "step": 294 }, { "epoch": 2.71, "learning_rate": 0.00029099999999999997, "loss": 3.2001, "step": 295 }, { "epoch": 2.72, "learning_rate": 0.000292, "loss": 3.2143, "step": 296 }, { "epoch": 2.72, "learning_rate": 0.00029299999999999997, "loss": 3.1513, "step": 297 }, { "epoch": 2.73, "learning_rate": 0.000294, "loss": 3.1761, "step": 298 }, { "epoch": 2.74, "learning_rate": 0.000295, "loss": 3.1955, "step": 299 }, { "epoch": 2.75, "learning_rate": 0.000296, "loss": 3.1846, "step": 300 }, { "epoch": 2.75, "eval_loss": 3.2280642986297607, "eval_runtime": 36.3511, "eval_samples_per_second": 45.308, "eval_steps_per_second": 2.833, "eval_wer": 0.9934558117195005, "step": 300 }, { "epoch": 2.76, "learning_rate": 0.000297, "loss": 3.1597, "step": 301 }, { "epoch": 2.77, "learning_rate": 0.000298, "loss": 3.1815, "step": 302 }, { "epoch": 2.78, "learning_rate": 0.000299, "loss": 3.1767, "step": 303 }, { "epoch": 2.79, "learning_rate": 0.0003, "loss": 3.2083, "step": 304 }, { "epoch": 2.8, "learning_rate": 0.000301, "loss": 3.1591, "step": 305 }, { "epoch": 2.81, "learning_rate": 0.000302, "loss": 3.1413, "step": 306 }, { "epoch": 2.82, "learning_rate": 0.000303, "loss": 3.2094, "step": 307 }, { "epoch": 2.83, "learning_rate": 0.000304, "loss": 3.1181, "step": 308 }, { "epoch": 2.83, "learning_rate": 0.000305, "loss": 3.1231, "step": 309 }, { "epoch": 2.84, "learning_rate": 0.000306, "loss": 3.1626, "step": 310 }, { "epoch": 2.85, "learning_rate": 0.000307, "loss": 3.1493, "step": 311 }, { "epoch": 2.86, "learning_rate": 0.000308, "loss": 3.0951, "step": 312 }, { "epoch": 2.87, "learning_rate": 0.00030900000000000003, "loss": 3.1452, "step": 313 }, { "epoch": 2.88, "learning_rate": 0.00031, "loss": 3.159, "step": 314 }, { "epoch": 2.89, "learning_rate": 0.000311, "loss": 3.1309, "step": 315 }, { "epoch": 2.9, "learning_rate": 0.000312, "loss": 3.1552, "step": 316 }, { "epoch": 2.91, "learning_rate": 0.000313, "loss": 3.1456, "step": 317 }, { "epoch": 2.92, "learning_rate": 0.000314, "loss": 3.2217, "step": 318 }, { "epoch": 2.93, "learning_rate": 0.000315, "loss": 3.115, "step": 319 }, { "epoch": 2.94, "learning_rate": 0.000316, "loss": 3.1785, "step": 320 }, { "epoch": 2.94, "learning_rate": 0.000317, "loss": 3.1313, "step": 321 }, { "epoch": 2.95, "learning_rate": 0.00031800000000000003, "loss": 3.1596, "step": 322 }, { "epoch": 2.96, "learning_rate": 0.000319, "loss": 3.1644, "step": 323 }, { "epoch": 2.97, "learning_rate": 0.00032, "loss": 3.1194, "step": 324 }, { "epoch": 2.98, "learning_rate": 0.000321, "loss": 3.1795, "step": 325 }, { "epoch": 2.99, "learning_rate": 0.000322, "loss": 3.0813, "step": 326 }, { "epoch": 3.0, "learning_rate": 0.000323, "loss": 3.2504, "step": 327 }, { "epoch": 3.01, "learning_rate": 0.000324, "loss": 3.1434, "step": 328 }, { "epoch": 3.02, "learning_rate": 0.00032500000000000004, "loss": 3.0752, "step": 329 }, { "epoch": 3.03, "learning_rate": 0.000326, "loss": 3.1518, "step": 330 }, { "epoch": 3.04, "learning_rate": 0.00032700000000000003, "loss": 3.0821, "step": 331 }, { "epoch": 3.05, "learning_rate": 0.000328, "loss": 3.1113, "step": 332 }, { "epoch": 3.06, "learning_rate": 0.00032900000000000003, "loss": 3.1609, "step": 333 }, { "epoch": 3.06, "learning_rate": 0.00033, "loss": 3.1282, "step": 334 }, { "epoch": 3.07, "learning_rate": 0.000331, "loss": 3.0544, "step": 335 }, { "epoch": 3.08, "learning_rate": 0.00033200000000000005, "loss": 3.0813, "step": 336 }, { "epoch": 3.09, "learning_rate": 0.000333, "loss": 3.1289, "step": 337 }, { "epoch": 3.1, "learning_rate": 0.00033400000000000004, "loss": 3.0654, "step": 338 }, { "epoch": 3.11, "learning_rate": 0.000335, "loss": 3.05, "step": 339 }, { "epoch": 3.12, "learning_rate": 0.00033600000000000004, "loss": 3.086, "step": 340 }, { "epoch": 3.13, "learning_rate": 0.000337, "loss": 2.9991, "step": 341 }, { "epoch": 3.14, "learning_rate": 0.00033800000000000003, "loss": 3.0787, "step": 342 }, { "epoch": 3.15, "learning_rate": 0.00033900000000000005, "loss": 3.0205, "step": 343 }, { "epoch": 3.16, "learning_rate": 0.00034, "loss": 3.0272, "step": 344 }, { "epoch": 3.17, "learning_rate": 0.00034100000000000005, "loss": 2.9642, "step": 345 }, { "epoch": 3.17, "learning_rate": 0.000342, "loss": 2.9674, "step": 346 }, { "epoch": 3.18, "learning_rate": 0.00034300000000000004, "loss": 3.0552, "step": 347 }, { "epoch": 3.19, "learning_rate": 0.00034399999999999996, "loss": 2.9619, "step": 348 }, { "epoch": 3.2, "learning_rate": 0.000345, "loss": 3.0189, "step": 349 }, { "epoch": 3.21, "learning_rate": 0.000346, "loss": 2.9918, "step": 350 }, { "epoch": 3.22, "learning_rate": 0.000347, "loss": 2.8969, "step": 351 }, { "epoch": 3.23, "learning_rate": 0.000348, "loss": 2.998, "step": 352 }, { "epoch": 3.24, "learning_rate": 0.00034899999999999997, "loss": 2.9714, "step": 353 }, { "epoch": 3.25, "learning_rate": 0.00035, "loss": 2.9747, "step": 354 }, { "epoch": 3.26, "learning_rate": 0.00035099999999999997, "loss": 2.904, "step": 355 }, { "epoch": 3.27, "learning_rate": 0.000352, "loss": 2.9562, "step": 356 }, { "epoch": 3.28, "learning_rate": 0.00035299999999999996, "loss": 2.9535, "step": 357 }, { "epoch": 3.28, "learning_rate": 0.000354, "loss": 2.9477, "step": 358 }, { "epoch": 3.29, "learning_rate": 0.000355, "loss": 2.9082, "step": 359 }, { "epoch": 3.3, "learning_rate": 0.000356, "loss": 2.8054, "step": 360 }, { "epoch": 3.31, "learning_rate": 0.000357, "loss": 2.8714, "step": 361 }, { "epoch": 3.32, "learning_rate": 0.000358, "loss": 2.8054, "step": 362 }, { "epoch": 3.33, "learning_rate": 0.000359, "loss": 2.7559, "step": 363 }, { "epoch": 3.34, "learning_rate": 0.00035999999999999997, "loss": 2.759, "step": 364 }, { "epoch": 3.35, "learning_rate": 0.000361, "loss": 2.846, "step": 365 }, { "epoch": 3.36, "learning_rate": 0.000362, "loss": 2.7483, "step": 366 }, { "epoch": 3.37, "learning_rate": 0.000363, "loss": 2.8022, "step": 367 }, { "epoch": 3.38, "learning_rate": 0.000364, "loss": 2.7079, "step": 368 }, { "epoch": 3.39, "learning_rate": 0.000365, "loss": 2.5973, "step": 369 }, { "epoch": 3.39, "learning_rate": 0.000366, "loss": 2.6236, "step": 370 }, { "epoch": 3.4, "learning_rate": 0.000367, "loss": 2.6806, "step": 371 }, { "epoch": 3.41, "learning_rate": 0.000368, "loss": 2.7707, "step": 372 }, { "epoch": 3.42, "learning_rate": 0.000369, "loss": 2.7137, "step": 373 }, { "epoch": 3.43, "learning_rate": 0.00037, "loss": 2.5566, "step": 374 }, { "epoch": 3.44, "learning_rate": 0.000371, "loss": 2.5661, "step": 375 }, { "epoch": 3.45, "learning_rate": 0.000372, "loss": 2.6638, "step": 376 }, { "epoch": 3.46, "learning_rate": 0.000373, "loss": 2.6151, "step": 377 }, { "epoch": 3.47, "learning_rate": 0.000374, "loss": 2.4922, "step": 378 }, { "epoch": 3.48, "learning_rate": 0.000375, "loss": 2.5417, "step": 379 }, { "epoch": 3.49, "learning_rate": 0.00037600000000000003, "loss": 2.391, "step": 380 }, { "epoch": 3.5, "learning_rate": 0.000377, "loss": 2.4796, "step": 381 }, { "epoch": 3.5, "learning_rate": 0.000378, "loss": 2.4312, "step": 382 }, { "epoch": 3.51, "learning_rate": 0.000379, "loss": 2.285, "step": 383 }, { "epoch": 3.52, "learning_rate": 0.00038, "loss": 2.2847, "step": 384 }, { "epoch": 3.53, "learning_rate": 0.000381, "loss": 2.1494, "step": 385 }, { "epoch": 3.54, "learning_rate": 0.000382, "loss": 2.1588, "step": 386 }, { "epoch": 3.55, "learning_rate": 0.00038300000000000004, "loss": 2.1269, "step": 387 }, { "epoch": 3.56, "learning_rate": 0.000384, "loss": 1.9845, "step": 388 }, { "epoch": 3.57, "learning_rate": 0.00038500000000000003, "loss": 2.1187, "step": 389 }, { "epoch": 3.58, "learning_rate": 0.000386, "loss": 2.0799, "step": 390 }, { "epoch": 3.59, "learning_rate": 0.00038700000000000003, "loss": 2.1227, "step": 391 }, { "epoch": 3.6, "learning_rate": 0.000388, "loss": 2.0675, "step": 392 }, { "epoch": 3.61, "learning_rate": 0.000389, "loss": 2.0205, "step": 393 }, { "epoch": 3.61, "learning_rate": 0.00039000000000000005, "loss": 2.0579, "step": 394 }, { "epoch": 3.62, "learning_rate": 0.000391, "loss": 2.1067, "step": 395 }, { "epoch": 3.63, "learning_rate": 0.00039200000000000004, "loss": 2.1526, "step": 396 }, { "epoch": 3.64, "learning_rate": 0.000393, "loss": 1.7567, "step": 397 }, { "epoch": 3.65, "learning_rate": 0.00039400000000000004, "loss": 1.85, "step": 398 }, { "epoch": 3.66, "learning_rate": 0.000395, "loss": 1.8782, "step": 399 }, { "epoch": 3.67, "learning_rate": 0.00039600000000000003, "loss": 2.0076, "step": 400 }, { "epoch": 3.67, "eval_loss": 1.7414734363555908, "eval_runtime": 36.4256, "eval_samples_per_second": 45.215, "eval_steps_per_second": 2.828, "eval_wer": 0.5221541786743515, "step": 400 }, { "epoch": 3.68, "learning_rate": 0.00039700000000000005, "loss": 2.0936, "step": 401 }, { "epoch": 3.69, "learning_rate": 0.000398, "loss": 2.0625, "step": 402 }, { "epoch": 3.7, "learning_rate": 0.00039900000000000005, "loss": 1.8438, "step": 403 }, { "epoch": 3.71, "learning_rate": 0.0004, "loss": 1.8604, "step": 404 }, { "epoch": 3.72, "learning_rate": 0.00040100000000000004, "loss": 1.8046, "step": 405 }, { "epoch": 3.72, "learning_rate": 0.000402, "loss": 1.7043, "step": 406 }, { "epoch": 3.73, "learning_rate": 0.00040300000000000004, "loss": 1.7386, "step": 407 }, { "epoch": 3.74, "learning_rate": 0.000404, "loss": 1.7309, "step": 408 }, { "epoch": 3.75, "learning_rate": 0.00040500000000000003, "loss": 1.5746, "step": 409 }, { "epoch": 3.76, "learning_rate": 0.00040600000000000006, "loss": 1.5256, "step": 410 }, { "epoch": 3.77, "learning_rate": 0.00040699999999999997, "loss": 1.5076, "step": 411 }, { "epoch": 3.78, "learning_rate": 0.000408, "loss": 1.5335, "step": 412 }, { "epoch": 3.79, "learning_rate": 0.00040899999999999997, "loss": 1.5103, "step": 413 }, { "epoch": 3.8, "learning_rate": 0.00041, "loss": 1.5431, "step": 414 }, { "epoch": 3.81, "learning_rate": 0.00041099999999999996, "loss": 1.4869, "step": 415 }, { "epoch": 3.82, "learning_rate": 0.000412, "loss": 1.6193, "step": 416 }, { "epoch": 3.83, "learning_rate": 0.000413, "loss": 1.5562, "step": 417 }, { "epoch": 3.83, "learning_rate": 0.000414, "loss": 1.5564, "step": 418 }, { "epoch": 3.84, "learning_rate": 0.000415, "loss": 1.472, "step": 419 }, { "epoch": 3.85, "learning_rate": 0.000416, "loss": 1.7672, "step": 420 }, { "epoch": 3.86, "learning_rate": 0.000417, "loss": 1.5295, "step": 421 }, { "epoch": 3.87, "learning_rate": 0.00041799999999999997, "loss": 1.6139, "step": 422 }, { "epoch": 3.88, "learning_rate": 0.000419, "loss": 1.6035, "step": 423 }, { "epoch": 3.89, "learning_rate": 0.00042, "loss": 1.5985, "step": 424 }, { "epoch": 3.9, "learning_rate": 0.000421, "loss": 1.4869, "step": 425 }, { "epoch": 3.91, "learning_rate": 0.000422, "loss": 1.5062, "step": 426 }, { "epoch": 3.92, "learning_rate": 0.000423, "loss": 1.6841, "step": 427 }, { "epoch": 3.93, "learning_rate": 0.000424, "loss": 1.5998, "step": 428 }, { "epoch": 3.94, "learning_rate": 0.000425, "loss": 1.452, "step": 429 }, { "epoch": 3.94, "learning_rate": 0.000426, "loss": 1.494, "step": 430 }, { "epoch": 3.95, "learning_rate": 0.000427, "loss": 1.4583, "step": 431 }, { "epoch": 3.96, "learning_rate": 0.000428, "loss": 1.3967, "step": 432 }, { "epoch": 3.97, "learning_rate": 0.000429, "loss": 1.5856, "step": 433 }, { "epoch": 3.98, "learning_rate": 0.00043, "loss": 1.411, "step": 434 }, { "epoch": 3.99, "learning_rate": 0.000431, "loss": 1.3648, "step": 435 }, { "epoch": 4.0, "learning_rate": 0.000432, "loss": 1.431, "step": 436 }, { "epoch": 4.01, "learning_rate": 0.000433, "loss": 1.3989, "step": 437 }, { "epoch": 4.02, "learning_rate": 0.00043400000000000003, "loss": 1.3966, "step": 438 }, { "epoch": 4.03, "learning_rate": 0.000435, "loss": 1.3775, "step": 439 }, { "epoch": 4.04, "learning_rate": 0.000436, "loss": 1.284, "step": 440 }, { "epoch": 4.05, "learning_rate": 0.000437, "loss": 1.2616, "step": 441 }, { "epoch": 4.06, "learning_rate": 0.000438, "loss": 1.2357, "step": 442 }, { "epoch": 4.06, "learning_rate": 0.000439, "loss": 1.1726, "step": 443 }, { "epoch": 4.07, "learning_rate": 0.00044, "loss": 1.1024, "step": 444 }, { "epoch": 4.08, "learning_rate": 0.000441, "loss": 1.2494, "step": 445 }, { "epoch": 4.09, "learning_rate": 0.000442, "loss": 1.1615, "step": 446 }, { "epoch": 4.1, "learning_rate": 0.00044300000000000003, "loss": 1.1828, "step": 447 }, { "epoch": 4.11, "learning_rate": 0.000444, "loss": 1.2224, "step": 448 }, { "epoch": 4.12, "learning_rate": 0.00044500000000000003, "loss": 1.0664, "step": 449 }, { "epoch": 4.13, "learning_rate": 0.000446, "loss": 1.0797, "step": 450 }, { "epoch": 4.14, "learning_rate": 0.000447, "loss": 1.0265, "step": 451 }, { "epoch": 4.15, "learning_rate": 0.000448, "loss": 1.2902, "step": 452 }, { "epoch": 4.16, "learning_rate": 0.000449, "loss": 1.1238, "step": 453 }, { "epoch": 4.17, "learning_rate": 0.00045000000000000004, "loss": 1.1059, "step": 454 }, { "epoch": 4.17, "learning_rate": 0.000451, "loss": 1.3351, "step": 455 }, { "epoch": 4.18, "learning_rate": 0.00045200000000000004, "loss": 1.3794, "step": 456 }, { "epoch": 4.19, "learning_rate": 0.000453, "loss": 1.3166, "step": 457 }, { "epoch": 4.2, "learning_rate": 0.00045400000000000003, "loss": 1.1832, "step": 458 }, { "epoch": 4.21, "learning_rate": 0.000455, "loss": 1.1953, "step": 459 }, { "epoch": 4.22, "learning_rate": 0.000456, "loss": 1.4968, "step": 460 }, { "epoch": 4.23, "learning_rate": 0.00045700000000000005, "loss": 1.2917, "step": 461 }, { "epoch": 4.24, "learning_rate": 0.000458, "loss": 1.1942, "step": 462 }, { "epoch": 4.25, "learning_rate": 0.00045900000000000004, "loss": 1.1631, "step": 463 }, { "epoch": 4.26, "learning_rate": 0.00046, "loss": 1.2899, "step": 464 }, { "epoch": 4.27, "learning_rate": 0.00046100000000000004, "loss": 1.1476, "step": 465 }, { "epoch": 4.28, "learning_rate": 0.000462, "loss": 1.123, "step": 466 }, { "epoch": 4.28, "learning_rate": 0.00046300000000000003, "loss": 1.0419, "step": 467 }, { "epoch": 4.29, "learning_rate": 0.00046400000000000006, "loss": 1.0275, "step": 468 }, { "epoch": 4.3, "learning_rate": 0.000465, "loss": 0.9758, "step": 469 }, { "epoch": 4.31, "learning_rate": 0.00046600000000000005, "loss": 0.8816, "step": 470 }, { "epoch": 4.32, "learning_rate": 0.000467, "loss": 1.1259, "step": 471 }, { "epoch": 4.33, "learning_rate": 0.00046800000000000005, "loss": 1.2087, "step": 472 }, { "epoch": 4.34, "learning_rate": 0.00046899999999999996, "loss": 1.1363, "step": 473 }, { "epoch": 4.35, "learning_rate": 0.00047, "loss": 1.006, "step": 474 }, { "epoch": 4.36, "learning_rate": 0.000471, "loss": 1.1897, "step": 475 }, { "epoch": 4.37, "learning_rate": 0.000472, "loss": 1.1039, "step": 476 }, { "epoch": 4.38, "learning_rate": 0.000473, "loss": 1.0023, "step": 477 }, { "epoch": 4.39, "learning_rate": 0.000474, "loss": 1.1296, "step": 478 }, { "epoch": 4.39, "learning_rate": 0.000475, "loss": 1.1849, "step": 479 }, { "epoch": 4.4, "learning_rate": 0.00047599999999999997, "loss": 1.0822, "step": 480 }, { "epoch": 4.41, "learning_rate": 0.000477, "loss": 1.1014, "step": 481 }, { "epoch": 4.42, "learning_rate": 0.00047799999999999996, "loss": 1.0653, "step": 482 }, { "epoch": 4.43, "learning_rate": 0.000479, "loss": 1.0525, "step": 483 }, { "epoch": 4.44, "learning_rate": 0.00048, "loss": 1.0081, "step": 484 }, { "epoch": 4.45, "learning_rate": 0.000481, "loss": 1.0895, "step": 485 }, { "epoch": 4.46, "learning_rate": 0.000482, "loss": 1.2735, "step": 486 }, { "epoch": 4.47, "learning_rate": 0.000483, "loss": 1.1423, "step": 487 }, { "epoch": 4.48, "learning_rate": 0.000484, "loss": 1.0427, "step": 488 }, { "epoch": 4.49, "learning_rate": 0.00048499999999999997, "loss": 1.2217, "step": 489 }, { "epoch": 4.5, "learning_rate": 0.000486, "loss": 1.0567, "step": 490 }, { "epoch": 4.5, "learning_rate": 0.000487, "loss": 1.0211, "step": 491 }, { "epoch": 4.51, "learning_rate": 0.000488, "loss": 1.0223, "step": 492 }, { "epoch": 4.52, "learning_rate": 0.000489, "loss": 0.9925, "step": 493 }, { "epoch": 4.53, "learning_rate": 0.00049, "loss": 0.9798, "step": 494 }, { "epoch": 4.54, "learning_rate": 0.000491, "loss": 1.0249, "step": 495 }, { "epoch": 4.55, "learning_rate": 0.000492, "loss": 1.0168, "step": 496 }, { "epoch": 4.56, "learning_rate": 0.0004930000000000001, "loss": 0.9643, "step": 497 }, { "epoch": 4.57, "learning_rate": 0.000494, "loss": 1.0591, "step": 498 }, { "epoch": 4.58, "learning_rate": 0.000495, "loss": 0.8722, "step": 499 }, { "epoch": 4.59, "learning_rate": 0.000496, "loss": 1.0244, "step": 500 }, { "epoch": 4.59, "eval_loss": 1.029004693031311, "eval_runtime": 36.6474, "eval_samples_per_second": 44.942, "eval_steps_per_second": 2.811, "eval_wer": 0.3322926673070765, "step": 500 }, { "epoch": 4.6, "learning_rate": 0.000497, "loss": 1.0921, "step": 501 }, { "epoch": 4.61, "learning_rate": 0.000498, "loss": 1.047, "step": 502 }, { "epoch": 4.61, "learning_rate": 0.000499, "loss": 0.9539, "step": 503 }, { "epoch": 4.62, "learning_rate": 0.0005, "loss": 1.0536, "step": 504 }, { "epoch": 4.63, "learning_rate": 0.000499702380952381, "loss": 1.1221, "step": 505 }, { "epoch": 4.64, "learning_rate": 0.0004994047619047619, "loss": 1.0429, "step": 506 }, { "epoch": 4.65, "learning_rate": 0.0004991071428571428, "loss": 1.1396, "step": 507 }, { "epoch": 4.66, "learning_rate": 0.0004988095238095239, "loss": 1.0315, "step": 508 }, { "epoch": 4.67, "learning_rate": 0.0004985119047619048, "loss": 1.0947, "step": 509 }, { "epoch": 4.68, "learning_rate": 0.0004982142857142858, "loss": 1.1754, "step": 510 }, { "epoch": 4.69, "learning_rate": 0.0004979166666666667, "loss": 1.3003, "step": 511 }, { "epoch": 4.7, "learning_rate": 0.0004976190476190476, "loss": 1.0628, "step": 512 }, { "epoch": 4.71, "learning_rate": 0.0004973214285714286, "loss": 1.1121, "step": 513 }, { "epoch": 4.72, "learning_rate": 0.0004970238095238095, "loss": 1.0423, "step": 514 }, { "epoch": 4.72, "learning_rate": 0.0004967261904761904, "loss": 1.047, "step": 515 }, { "epoch": 4.73, "learning_rate": 0.0004964285714285715, "loss": 0.9824, "step": 516 }, { "epoch": 4.74, "learning_rate": 0.0004961309523809524, "loss": 1.0348, "step": 517 }, { "epoch": 4.75, "learning_rate": 0.0004958333333333334, "loss": 1.0037, "step": 518 }, { "epoch": 4.76, "learning_rate": 0.0004955357142857143, "loss": 0.8242, "step": 519 }, { "epoch": 4.77, "learning_rate": 0.0004952380952380952, "loss": 0.9696, "step": 520 }, { "epoch": 4.78, "learning_rate": 0.0004949404761904762, "loss": 1.008, "step": 521 }, { "epoch": 4.79, "learning_rate": 0.0004946428571428571, "loss": 0.9254, "step": 522 }, { "epoch": 4.8, "learning_rate": 0.0004943452380952382, "loss": 0.8288, "step": 523 }, { "epoch": 4.81, "learning_rate": 0.0004940476190476191, "loss": 0.8741, "step": 524 }, { "epoch": 4.82, "learning_rate": 0.00049375, "loss": 1.0546, "step": 525 }, { "epoch": 4.83, "learning_rate": 0.000493452380952381, "loss": 1.0411, "step": 526 }, { "epoch": 4.83, "learning_rate": 0.0004931547619047619, "loss": 1.0639, "step": 527 }, { "epoch": 4.84, "learning_rate": 0.0004928571428571429, "loss": 0.8977, "step": 528 }, { "epoch": 4.85, "learning_rate": 0.0004925595238095238, "loss": 0.9564, "step": 529 }, { "epoch": 4.86, "learning_rate": 0.0004922619047619049, "loss": 0.8622, "step": 530 }, { "epoch": 4.87, "learning_rate": 0.0004919642857142857, "loss": 0.9812, "step": 531 }, { "epoch": 4.88, "learning_rate": 0.0004916666666666666, "loss": 0.9064, "step": 532 }, { "epoch": 4.89, "learning_rate": 0.0004913690476190476, "loss": 1.0261, "step": 533 }, { "epoch": 4.9, "learning_rate": 0.0004910714285714286, "loss": 1.0859, "step": 534 }, { "epoch": 4.91, "learning_rate": 0.0004907738095238095, "loss": 1.0929, "step": 535 }, { "epoch": 4.92, "learning_rate": 0.0004904761904761905, "loss": 1.2656, "step": 536 }, { "epoch": 4.93, "learning_rate": 0.0004901785714285714, "loss": 0.9044, "step": 537 }, { "epoch": 4.94, "learning_rate": 0.0004898809523809524, "loss": 0.992, "step": 538 }, { "epoch": 4.94, "learning_rate": 0.0004895833333333333, "loss": 0.905, "step": 539 }, { "epoch": 4.95, "learning_rate": 0.0004892857142857142, "loss": 0.9496, "step": 540 }, { "epoch": 4.96, "learning_rate": 0.0004889880952380953, "loss": 1.0831, "step": 541 }, { "epoch": 4.97, "learning_rate": 0.0004886904761904762, "loss": 0.9685, "step": 542 }, { "epoch": 4.98, "learning_rate": 0.0004883928571428572, "loss": 1.0129, "step": 543 }, { "epoch": 4.99, "learning_rate": 0.0004880952380952381, "loss": 1.1261, "step": 544 }, { "epoch": 5.0, "learning_rate": 0.00048779761904761904, "loss": 1.3113, "step": 545 }, { "epoch": 5.01, "learning_rate": 0.0004875, "loss": 0.833, "step": 546 }, { "epoch": 5.02, "learning_rate": 0.00048720238095238097, "loss": 0.7039, "step": 547 }, { "epoch": 5.03, "learning_rate": 0.0004869047619047619, "loss": 0.8449, "step": 548 }, { "epoch": 5.04, "learning_rate": 0.00048660714285714285, "loss": 0.7254, "step": 549 }, { "epoch": 5.05, "learning_rate": 0.0004863095238095238, "loss": 0.6353, "step": 550 }, { "epoch": 5.06, "learning_rate": 0.0004860119047619048, "loss": 0.8371, "step": 551 }, { "epoch": 5.06, "learning_rate": 0.0004857142857142857, "loss": 0.5982, "step": 552 }, { "epoch": 5.07, "learning_rate": 0.00048541666666666666, "loss": 0.7029, "step": 553 }, { "epoch": 5.08, "learning_rate": 0.00048511904761904765, "loss": 0.6792, "step": 554 }, { "epoch": 5.09, "learning_rate": 0.0004848214285714286, "loss": 0.7449, "step": 555 }, { "epoch": 5.1, "learning_rate": 0.00048452380952380953, "loss": 0.6403, "step": 556 }, { "epoch": 5.11, "learning_rate": 0.00048422619047619047, "loss": 0.7698, "step": 557 }, { "epoch": 5.12, "learning_rate": 0.00048392857142857146, "loss": 0.7152, "step": 558 }, { "epoch": 5.13, "learning_rate": 0.0004836309523809524, "loss": 0.7124, "step": 559 }, { "epoch": 5.14, "learning_rate": 0.00048333333333333334, "loss": 0.7273, "step": 560 }, { "epoch": 5.15, "learning_rate": 0.0004830357142857143, "loss": 0.5464, "step": 561 }, { "epoch": 5.16, "learning_rate": 0.00048273809523809527, "loss": 0.7211, "step": 562 }, { "epoch": 5.17, "learning_rate": 0.0004824404761904762, "loss": 0.7491, "step": 563 }, { "epoch": 5.17, "learning_rate": 0.00048214285714285715, "loss": 0.7464, "step": 564 }, { "epoch": 5.18, "learning_rate": 0.00048184523809523814, "loss": 0.7698, "step": 565 }, { "epoch": 5.19, "learning_rate": 0.0004815476190476191, "loss": 0.7327, "step": 566 }, { "epoch": 5.2, "learning_rate": 0.00048125, "loss": 0.6873, "step": 567 }, { "epoch": 5.21, "learning_rate": 0.00048095238095238095, "loss": 0.8524, "step": 568 }, { "epoch": 5.22, "learning_rate": 0.00048065476190476195, "loss": 1.0414, "step": 569 }, { "epoch": 5.23, "learning_rate": 0.0004803571428571429, "loss": 0.9219, "step": 570 }, { "epoch": 5.24, "learning_rate": 0.0004800595238095238, "loss": 0.6374, "step": 571 }, { "epoch": 5.25, "learning_rate": 0.00047976190476190476, "loss": 0.6421, "step": 572 }, { "epoch": 5.26, "learning_rate": 0.00047946428571428576, "loss": 0.6721, "step": 573 }, { "epoch": 5.27, "learning_rate": 0.0004791666666666667, "loss": 0.677, "step": 574 }, { "epoch": 5.28, "learning_rate": 0.00047886904761904763, "loss": 0.6869, "step": 575 }, { "epoch": 5.28, "learning_rate": 0.0004785714285714286, "loss": 0.6019, "step": 576 }, { "epoch": 5.29, "learning_rate": 0.00047827380952380957, "loss": 0.6728, "step": 577 }, { "epoch": 5.3, "learning_rate": 0.0004779761904761905, "loss": 0.6036, "step": 578 }, { "epoch": 5.31, "learning_rate": 0.00047767857142857144, "loss": 0.6075, "step": 579 }, { "epoch": 5.32, "learning_rate": 0.00047738095238095244, "loss": 0.7073, "step": 580 }, { "epoch": 5.33, "learning_rate": 0.0004770833333333334, "loss": 0.5775, "step": 581 }, { "epoch": 5.34, "learning_rate": 0.0004767857142857143, "loss": 0.606, "step": 582 }, { "epoch": 5.35, "learning_rate": 0.0004764880952380952, "loss": 0.6927, "step": 583 }, { "epoch": 5.36, "learning_rate": 0.0004761904761904762, "loss": 0.6912, "step": 584 }, { "epoch": 5.37, "learning_rate": 0.00047589285714285713, "loss": 0.7068, "step": 585 }, { "epoch": 5.38, "learning_rate": 0.00047559523809523807, "loss": 0.7384, "step": 586 }, { "epoch": 5.39, "learning_rate": 0.00047529761904761906, "loss": 0.9084, "step": 587 }, { "epoch": 5.39, "learning_rate": 0.000475, "loss": 0.7458, "step": 588 }, { "epoch": 5.4, "learning_rate": 0.00047470238095238094, "loss": 0.6443, "step": 589 }, { "epoch": 5.41, "learning_rate": 0.0004744047619047619, "loss": 0.7792, "step": 590 }, { "epoch": 5.42, "learning_rate": 0.00047410714285714287, "loss": 0.7438, "step": 591 }, { "epoch": 5.43, "learning_rate": 0.0004738095238095238, "loss": 0.7982, "step": 592 }, { "epoch": 5.44, "learning_rate": 0.00047351190476190475, "loss": 0.7389, "step": 593 }, { "epoch": 5.45, "learning_rate": 0.0004732142857142857, "loss": 0.7046, "step": 594 }, { "epoch": 5.46, "learning_rate": 0.0004729166666666667, "loss": 0.7215, "step": 595 }, { "epoch": 5.47, "learning_rate": 0.0004726190476190476, "loss": 0.7232, "step": 596 }, { "epoch": 5.48, "learning_rate": 0.00047232142857142856, "loss": 0.7941, "step": 597 }, { "epoch": 5.49, "learning_rate": 0.00047202380952380955, "loss": 0.7464, "step": 598 }, { "epoch": 5.5, "learning_rate": 0.0004717261904761905, "loss": 0.7256, "step": 599 }, { "epoch": 5.5, "learning_rate": 0.0004714285714285714, "loss": 0.7095, "step": 600 }, { "epoch": 5.5, "eval_loss": 0.8424153327941895, "eval_runtime": 36.6389, "eval_samples_per_second": 44.952, "eval_steps_per_second": 2.811, "eval_wer": 0.2859029779058597, "step": 600 }, { "epoch": 5.51, "learning_rate": 0.00047113095238095236, "loss": 0.6716, "step": 601 }, { "epoch": 5.52, "learning_rate": 0.00047083333333333336, "loss": 0.7452, "step": 602 }, { "epoch": 5.53, "learning_rate": 0.0004705357142857143, "loss": 0.6411, "step": 603 }, { "epoch": 5.54, "learning_rate": 0.00047023809523809523, "loss": 0.6482, "step": 604 }, { "epoch": 5.55, "learning_rate": 0.0004699404761904762, "loss": 0.7119, "step": 605 }, { "epoch": 5.56, "learning_rate": 0.00046964285714285717, "loss": 0.6345, "step": 606 }, { "epoch": 5.57, "learning_rate": 0.0004693452380952381, "loss": 0.6356, "step": 607 }, { "epoch": 5.58, "learning_rate": 0.00046904761904761904, "loss": 0.6445, "step": 608 }, { "epoch": 5.59, "learning_rate": 0.00046875, "loss": 0.7391, "step": 609 }, { "epoch": 5.6, "learning_rate": 0.000468452380952381, "loss": 0.7151, "step": 610 }, { "epoch": 5.61, "learning_rate": 0.0004681547619047619, "loss": 0.6977, "step": 611 }, { "epoch": 5.61, "learning_rate": 0.00046785714285714285, "loss": 0.7554, "step": 612 }, { "epoch": 5.62, "learning_rate": 0.00046755952380952385, "loss": 0.6745, "step": 613 }, { "epoch": 5.63, "learning_rate": 0.0004672619047619048, "loss": 0.6777, "step": 614 }, { "epoch": 5.64, "learning_rate": 0.0004669642857142857, "loss": 0.7894, "step": 615 }, { "epoch": 5.65, "learning_rate": 0.00046666666666666666, "loss": 0.6759, "step": 616 }, { "epoch": 5.66, "learning_rate": 0.00046636904761904765, "loss": 0.626, "step": 617 }, { "epoch": 5.67, "learning_rate": 0.0004660714285714286, "loss": 0.7807, "step": 618 }, { "epoch": 5.68, "learning_rate": 0.00046577380952380953, "loss": 0.8262, "step": 619 }, { "epoch": 5.69, "learning_rate": 0.00046547619047619047, "loss": 0.7334, "step": 620 }, { "epoch": 5.7, "learning_rate": 0.00046517857142857146, "loss": 0.7908, "step": 621 }, { "epoch": 5.71, "learning_rate": 0.0004648809523809524, "loss": 0.7076, "step": 622 }, { "epoch": 5.72, "learning_rate": 0.00046458333333333334, "loss": 0.6868, "step": 623 }, { "epoch": 5.72, "learning_rate": 0.00046428571428571433, "loss": 0.7658, "step": 624 }, { "epoch": 5.73, "learning_rate": 0.00046398809523809527, "loss": 0.6708, "step": 625 }, { "epoch": 5.74, "learning_rate": 0.0004636904761904762, "loss": 0.6814, "step": 626 }, { "epoch": 5.75, "learning_rate": 0.00046339285714285715, "loss": 0.6423, "step": 627 }, { "epoch": 5.76, "learning_rate": 0.00046309523809523814, "loss": 0.6029, "step": 628 }, { "epoch": 5.77, "learning_rate": 0.0004627976190476191, "loss": 0.7093, "step": 629 }, { "epoch": 5.78, "learning_rate": 0.0004625, "loss": 0.6608, "step": 630 }, { "epoch": 5.79, "learning_rate": 0.00046220238095238096, "loss": 0.6257, "step": 631 }, { "epoch": 5.8, "learning_rate": 0.00046190476190476195, "loss": 0.5837, "step": 632 }, { "epoch": 5.81, "learning_rate": 0.0004616071428571429, "loss": 0.5281, "step": 633 }, { "epoch": 5.82, "learning_rate": 0.00046130952380952383, "loss": 0.5757, "step": 634 }, { "epoch": 5.83, "learning_rate": 0.0004610119047619048, "loss": 0.652, "step": 635 }, { "epoch": 5.83, "learning_rate": 0.0004607142857142857, "loss": 0.8051, "step": 636 }, { "epoch": 5.84, "learning_rate": 0.00046041666666666665, "loss": 0.5603, "step": 637 }, { "epoch": 5.85, "learning_rate": 0.0004601190476190476, "loss": 0.6722, "step": 638 }, { "epoch": 5.86, "learning_rate": 0.0004598214285714286, "loss": 0.6133, "step": 639 }, { "epoch": 5.87, "learning_rate": 0.0004595238095238095, "loss": 0.6847, "step": 640 }, { "epoch": 5.88, "learning_rate": 0.00045922619047619045, "loss": 0.6421, "step": 641 }, { "epoch": 5.89, "learning_rate": 0.0004589285714285714, "loss": 0.7918, "step": 642 }, { "epoch": 5.9, "learning_rate": 0.0004586309523809524, "loss": 0.6256, "step": 643 }, { "epoch": 5.91, "learning_rate": 0.0004583333333333333, "loss": 0.6713, "step": 644 }, { "epoch": 5.92, "learning_rate": 0.00045803571428571426, "loss": 0.9041, "step": 645 }, { "epoch": 5.93, "learning_rate": 0.00045773809523809526, "loss": 0.6144, "step": 646 }, { "epoch": 5.94, "learning_rate": 0.0004574404761904762, "loss": 0.659, "step": 647 }, { "epoch": 5.94, "learning_rate": 0.00045714285714285713, "loss": 0.6476, "step": 648 }, { "epoch": 5.95, "learning_rate": 0.00045684523809523807, "loss": 0.7583, "step": 649 }, { "epoch": 5.96, "learning_rate": 0.00045654761904761907, "loss": 0.6461, "step": 650 }, { "epoch": 5.97, "learning_rate": 0.00045625, "loss": 0.7822, "step": 651 }, { "epoch": 5.98, "learning_rate": 0.00045595238095238094, "loss": 0.7319, "step": 652 }, { "epoch": 5.99, "learning_rate": 0.0004556547619047619, "loss": 0.6277, "step": 653 }, { "epoch": 6.0, "learning_rate": 0.0004553571428571429, "loss": 0.7953, "step": 654 }, { "epoch": 6.01, "learning_rate": 0.0004550595238095238, "loss": 0.6052, "step": 655 }, { "epoch": 6.02, "learning_rate": 0.00045476190476190475, "loss": 0.5027, "step": 656 }, { "epoch": 6.03, "learning_rate": 0.00045446428571428574, "loss": 0.5211, "step": 657 }, { "epoch": 6.04, "learning_rate": 0.0004541666666666667, "loss": 0.5342, "step": 658 }, { "epoch": 6.05, "learning_rate": 0.0004538690476190476, "loss": 0.4475, "step": 659 }, { "epoch": 6.06, "learning_rate": 0.00045357142857142856, "loss": 0.5194, "step": 660 }, { "epoch": 6.06, "learning_rate": 0.00045327380952380955, "loss": 0.5385, "step": 661 }, { "epoch": 6.07, "learning_rate": 0.0004529761904761905, "loss": 0.4412, "step": 662 }, { "epoch": 6.08, "learning_rate": 0.00045267857142857143, "loss": 0.4688, "step": 663 }, { "epoch": 6.09, "learning_rate": 0.00045238095238095237, "loss": 0.5524, "step": 664 }, { "epoch": 6.1, "learning_rate": 0.00045208333333333336, "loss": 0.4355, "step": 665 }, { "epoch": 6.11, "learning_rate": 0.0004517857142857143, "loss": 0.4869, "step": 666 }, { "epoch": 6.12, "learning_rate": 0.00045148809523809524, "loss": 0.4428, "step": 667 }, { "epoch": 6.13, "learning_rate": 0.00045119047619047623, "loss": 0.4751, "step": 668 }, { "epoch": 6.14, "learning_rate": 0.00045089285714285717, "loss": 0.4747, "step": 669 }, { "epoch": 6.15, "learning_rate": 0.0004505952380952381, "loss": 0.4015, "step": 670 }, { "epoch": 6.16, "learning_rate": 0.00045029761904761905, "loss": 0.678, "step": 671 }, { "epoch": 6.17, "learning_rate": 0.00045000000000000004, "loss": 0.5198, "step": 672 }, { "epoch": 6.17, "learning_rate": 0.000449702380952381, "loss": 0.4171, "step": 673 }, { "epoch": 6.18, "learning_rate": 0.0004494047619047619, "loss": 0.5392, "step": 674 }, { "epoch": 6.19, "learning_rate": 0.00044910714285714286, "loss": 0.4987, "step": 675 }, { "epoch": 6.2, "learning_rate": 0.00044880952380952385, "loss": 0.504, "step": 676 }, { "epoch": 6.21, "learning_rate": 0.0004485119047619048, "loss": 0.5521, "step": 677 }, { "epoch": 6.22, "learning_rate": 0.00044821428571428573, "loss": 0.5211, "step": 678 }, { "epoch": 6.23, "learning_rate": 0.0004479166666666667, "loss": 0.6712, "step": 679 }, { "epoch": 6.24, "learning_rate": 0.00044761904761904766, "loss": 0.426, "step": 680 }, { "epoch": 6.25, "learning_rate": 0.0004473214285714286, "loss": 0.5331, "step": 681 }, { "epoch": 6.26, "learning_rate": 0.00044702380952380954, "loss": 0.5609, "step": 682 }, { "epoch": 6.27, "learning_rate": 0.00044672619047619053, "loss": 0.5555, "step": 683 }, { "epoch": 6.28, "learning_rate": 0.00044642857142857147, "loss": 0.4505, "step": 684 }, { "epoch": 6.28, "learning_rate": 0.0004461309523809524, "loss": 0.4444, "step": 685 }, { "epoch": 6.29, "learning_rate": 0.00044583333333333335, "loss": 0.3861, "step": 686 }, { "epoch": 6.3, "learning_rate": 0.00044553571428571434, "loss": 0.4424, "step": 687 }, { "epoch": 6.31, "learning_rate": 0.0004452380952380952, "loss": 0.4101, "step": 688 }, { "epoch": 6.32, "learning_rate": 0.00044494047619047616, "loss": 0.4728, "step": 689 }, { "epoch": 6.33, "learning_rate": 0.0004446428571428571, "loss": 0.4905, "step": 690 }, { "epoch": 6.34, "learning_rate": 0.0004443452380952381, "loss": 0.5642, "step": 691 }, { "epoch": 6.35, "learning_rate": 0.00044404761904761903, "loss": 0.4848, "step": 692 }, { "epoch": 6.36, "learning_rate": 0.00044374999999999997, "loss": 0.5765, "step": 693 }, { "epoch": 6.37, "learning_rate": 0.00044345238095238096, "loss": 0.4728, "step": 694 }, { "epoch": 6.38, "learning_rate": 0.0004431547619047619, "loss": 0.6184, "step": 695 }, { "epoch": 6.39, "learning_rate": 0.00044285714285714284, "loss": 0.5025, "step": 696 }, { "epoch": 6.39, "learning_rate": 0.0004425595238095238, "loss": 0.5541, "step": 697 }, { "epoch": 6.4, "learning_rate": 0.0004422619047619048, "loss": 0.4937, "step": 698 }, { "epoch": 6.41, "learning_rate": 0.0004419642857142857, "loss": 0.6063, "step": 699 }, { "epoch": 6.42, "learning_rate": 0.00044166666666666665, "loss": 0.619, "step": 700 }, { "epoch": 6.42, "eval_loss": 0.7389244437217712, "eval_runtime": 36.5706, "eval_samples_per_second": 45.036, "eval_steps_per_second": 2.816, "eval_wer": 0.22316282420749278, "step": 700 }, { "epoch": 6.43, "learning_rate": 0.0004413690476190476, "loss": 0.5363, "step": 701 }, { "epoch": 6.44, "learning_rate": 0.0004410714285714286, "loss": 0.472, "step": 702 }, { "epoch": 6.45, "learning_rate": 0.0004407738095238095, "loss": 0.5292, "step": 703 }, { "epoch": 6.46, "learning_rate": 0.00044047619047619046, "loss": 0.6937, "step": 704 }, { "epoch": 6.47, "learning_rate": 0.00044017857142857145, "loss": 0.466, "step": 705 }, { "epoch": 6.48, "learning_rate": 0.0004398809523809524, "loss": 0.58, "step": 706 }, { "epoch": 6.49, "learning_rate": 0.00043958333333333333, "loss": 0.3872, "step": 707 }, { "epoch": 6.5, "learning_rate": 0.00043928571428571427, "loss": 0.5127, "step": 708 }, { "epoch": 6.5, "learning_rate": 0.00043898809523809526, "loss": 0.4371, "step": 709 }, { "epoch": 6.51, "learning_rate": 0.0004386904761904762, "loss": 0.3844, "step": 710 }, { "epoch": 6.52, "learning_rate": 0.00043839285714285714, "loss": 0.6007, "step": 711 }, { "epoch": 6.53, "learning_rate": 0.0004380952380952381, "loss": 0.4901, "step": 712 }, { "epoch": 6.54, "learning_rate": 0.00043779761904761907, "loss": 0.4795, "step": 713 }, { "epoch": 6.55, "learning_rate": 0.0004375, "loss": 0.6768, "step": 714 }, { "epoch": 6.56, "learning_rate": 0.00043720238095238095, "loss": 0.4323, "step": 715 }, { "epoch": 6.57, "learning_rate": 0.00043690476190476194, "loss": 0.4503, "step": 716 }, { "epoch": 6.58, "learning_rate": 0.0004366071428571429, "loss": 0.4226, "step": 717 }, { "epoch": 6.59, "learning_rate": 0.0004363095238095238, "loss": 0.4997, "step": 718 }, { "epoch": 6.6, "learning_rate": 0.00043601190476190476, "loss": 0.4085, "step": 719 }, { "epoch": 6.61, "learning_rate": 0.00043571428571428575, "loss": 0.4442, "step": 720 }, { "epoch": 6.61, "learning_rate": 0.0004354166666666667, "loss": 0.5479, "step": 721 }, { "epoch": 6.62, "learning_rate": 0.0004351190476190476, "loss": 0.423, "step": 722 }, { "epoch": 6.63, "learning_rate": 0.00043482142857142857, "loss": 0.5197, "step": 723 }, { "epoch": 6.64, "learning_rate": 0.00043452380952380956, "loss": 0.4856, "step": 724 }, { "epoch": 6.65, "learning_rate": 0.0004342261904761905, "loss": 0.3755, "step": 725 }, { "epoch": 6.66, "learning_rate": 0.00043392857142857144, "loss": 0.7071, "step": 726 }, { "epoch": 6.67, "learning_rate": 0.00043363095238095243, "loss": 0.6221, "step": 727 }, { "epoch": 6.68, "learning_rate": 0.00043333333333333337, "loss": 0.5698, "step": 728 }, { "epoch": 6.69, "learning_rate": 0.0004330357142857143, "loss": 0.5208, "step": 729 }, { "epoch": 6.7, "learning_rate": 0.00043273809523809525, "loss": 0.5065, "step": 730 }, { "epoch": 6.71, "learning_rate": 0.00043244047619047624, "loss": 0.4483, "step": 731 }, { "epoch": 6.72, "learning_rate": 0.0004321428571428572, "loss": 0.5604, "step": 732 }, { "epoch": 6.72, "learning_rate": 0.0004318452380952381, "loss": 0.5028, "step": 733 }, { "epoch": 6.73, "learning_rate": 0.00043154761904761905, "loss": 0.4628, "step": 734 }, { "epoch": 6.74, "learning_rate": 0.00043125000000000005, "loss": 0.4757, "step": 735 }, { "epoch": 6.75, "learning_rate": 0.000430952380952381, "loss": 0.4778, "step": 736 }, { "epoch": 6.76, "learning_rate": 0.0004306547619047619, "loss": 0.3465, "step": 737 }, { "epoch": 6.77, "learning_rate": 0.0004303571428571429, "loss": 0.3989, "step": 738 }, { "epoch": 6.78, "learning_rate": 0.00043005952380952386, "loss": 0.4782, "step": 739 }, { "epoch": 6.79, "learning_rate": 0.0004297619047619048, "loss": 0.4147, "step": 740 }, { "epoch": 6.8, "learning_rate": 0.0004294642857142857, "loss": 0.4747, "step": 741 }, { "epoch": 6.81, "learning_rate": 0.00042916666666666667, "loss": 0.4796, "step": 742 }, { "epoch": 6.82, "learning_rate": 0.0004288690476190476, "loss": 0.4597, "step": 743 }, { "epoch": 6.83, "learning_rate": 0.00042857142857142855, "loss": 0.5301, "step": 744 }, { "epoch": 6.83, "learning_rate": 0.0004282738095238095, "loss": 0.5437, "step": 745 }, { "epoch": 6.84, "learning_rate": 0.0004279761904761905, "loss": 0.4825, "step": 746 }, { "epoch": 6.85, "learning_rate": 0.0004276785714285714, "loss": 0.4869, "step": 747 }, { "epoch": 6.86, "learning_rate": 0.00042738095238095236, "loss": 0.5642, "step": 748 }, { "epoch": 6.87, "learning_rate": 0.0004270833333333333, "loss": 0.4817, "step": 749 }, { "epoch": 6.88, "learning_rate": 0.0004267857142857143, "loss": 0.5704, "step": 750 }, { "epoch": 6.89, "learning_rate": 0.00042648809523809523, "loss": 0.5132, "step": 751 }, { "epoch": 6.9, "learning_rate": 0.00042619047619047617, "loss": 0.5341, "step": 752 }, { "epoch": 6.91, "learning_rate": 0.00042589285714285716, "loss": 0.6579, "step": 753 }, { "epoch": 6.92, "learning_rate": 0.0004255952380952381, "loss": 0.6194, "step": 754 }, { "epoch": 6.93, "learning_rate": 0.00042529761904761904, "loss": 0.499, "step": 755 }, { "epoch": 6.94, "learning_rate": 0.000425, "loss": 0.4829, "step": 756 }, { "epoch": 6.94, "learning_rate": 0.00042470238095238097, "loss": 0.482, "step": 757 }, { "epoch": 6.95, "learning_rate": 0.0004244047619047619, "loss": 0.512, "step": 758 }, { "epoch": 6.96, "learning_rate": 0.00042410714285714285, "loss": 0.4165, "step": 759 }, { "epoch": 6.97, "learning_rate": 0.0004238095238095238, "loss": 0.6565, "step": 760 }, { "epoch": 6.98, "learning_rate": 0.0004235119047619048, "loss": 0.5331, "step": 761 }, { "epoch": 6.99, "learning_rate": 0.0004232142857142857, "loss": 0.4662, "step": 762 }, { "epoch": 7.0, "learning_rate": 0.00042291666666666666, "loss": 0.6726, "step": 763 }, { "epoch": 7.01, "learning_rate": 0.00042261904761904765, "loss": 0.4184, "step": 764 }, { "epoch": 7.02, "learning_rate": 0.0004223214285714286, "loss": 0.3985, "step": 765 }, { "epoch": 7.03, "learning_rate": 0.0004220238095238095, "loss": 0.4009, "step": 766 }, { "epoch": 7.04, "learning_rate": 0.00042172619047619046, "loss": 0.4845, "step": 767 }, { "epoch": 7.05, "learning_rate": 0.00042142857142857146, "loss": 0.2801, "step": 768 }, { "epoch": 7.06, "learning_rate": 0.0004211309523809524, "loss": 0.3393, "step": 769 }, { "epoch": 7.06, "learning_rate": 0.00042083333333333333, "loss": 0.306, "step": 770 }, { "epoch": 7.07, "learning_rate": 0.0004205357142857143, "loss": 0.4196, "step": 771 }, { "epoch": 7.08, "learning_rate": 0.00042023809523809527, "loss": 0.3151, "step": 772 }, { "epoch": 7.09, "learning_rate": 0.0004199404761904762, "loss": 0.367, "step": 773 }, { "epoch": 7.1, "learning_rate": 0.00041964285714285714, "loss": 0.3447, "step": 774 }, { "epoch": 7.11, "learning_rate": 0.00041934523809523814, "loss": 0.4018, "step": 775 }, { "epoch": 7.12, "learning_rate": 0.0004190476190476191, "loss": 0.3205, "step": 776 }, { "epoch": 7.13, "learning_rate": 0.00041875, "loss": 0.3915, "step": 777 }, { "epoch": 7.14, "learning_rate": 0.00041845238095238095, "loss": 0.3067, "step": 778 }, { "epoch": 7.15, "learning_rate": 0.00041815476190476195, "loss": 0.3742, "step": 779 }, { "epoch": 7.16, "learning_rate": 0.0004178571428571429, "loss": 0.4019, "step": 780 }, { "epoch": 7.17, "learning_rate": 0.0004175595238095238, "loss": 0.3765, "step": 781 }, { "epoch": 7.17, "learning_rate": 0.00041726190476190476, "loss": 0.3259, "step": 782 }, { "epoch": 7.18, "learning_rate": 0.00041696428571428575, "loss": 0.4031, "step": 783 }, { "epoch": 7.19, "learning_rate": 0.0004166666666666667, "loss": 0.3407, "step": 784 }, { "epoch": 7.2, "learning_rate": 0.00041636904761904763, "loss": 0.4152, "step": 785 }, { "epoch": 7.21, "learning_rate": 0.0004160714285714286, "loss": 0.4165, "step": 786 }, { "epoch": 7.22, "learning_rate": 0.00041577380952380956, "loss": 0.4546, "step": 787 }, { "epoch": 7.23, "learning_rate": 0.0004154761904761905, "loss": 0.4783, "step": 788 }, { "epoch": 7.24, "learning_rate": 0.00041517857142857144, "loss": 0.3194, "step": 789 }, { "epoch": 7.25, "learning_rate": 0.00041488095238095243, "loss": 0.3305, "step": 790 }, { "epoch": 7.26, "learning_rate": 0.00041458333333333337, "loss": 0.3199, "step": 791 }, { "epoch": 7.27, "learning_rate": 0.0004142857142857143, "loss": 0.3623, "step": 792 }, { "epoch": 7.28, "learning_rate": 0.0004139880952380952, "loss": 0.3482, "step": 793 }, { "epoch": 7.28, "learning_rate": 0.0004136904761904762, "loss": 0.3427, "step": 794 }, { "epoch": 7.29, "learning_rate": 0.00041339285714285713, "loss": 0.3405, "step": 795 }, { "epoch": 7.3, "learning_rate": 0.00041309523809523807, "loss": 0.3817, "step": 796 }, { "epoch": 7.31, "learning_rate": 0.00041279761904761906, "loss": 0.275, "step": 797 }, { "epoch": 7.32, "learning_rate": 0.0004125, "loss": 0.2878, "step": 798 }, { "epoch": 7.33, "learning_rate": 0.00041220238095238094, "loss": 0.3708, "step": 799 }, { "epoch": 7.34, "learning_rate": 0.0004119047619047619, "loss": 0.3541, "step": 800 }, { "epoch": 7.34, "eval_loss": 0.7048654556274414, "eval_runtime": 36.8141, "eval_samples_per_second": 44.738, "eval_steps_per_second": 2.798, "eval_wer": 0.20431075888568684, "step": 800 }, { "epoch": 7.35, "learning_rate": 0.00041160714285714287, "loss": 0.3143, "step": 801 }, { "epoch": 7.36, "learning_rate": 0.0004113095238095238, "loss": 0.3602, "step": 802 }, { "epoch": 7.37, "learning_rate": 0.00041101190476190475, "loss": 0.3614, "step": 803 }, { "epoch": 7.38, "learning_rate": 0.0004107142857142857, "loss": 0.4119, "step": 804 }, { "epoch": 7.39, "learning_rate": 0.0004104166666666667, "loss": 0.3522, "step": 805 }, { "epoch": 7.39, "learning_rate": 0.0004101190476190476, "loss": 0.4333, "step": 806 }, { "epoch": 7.4, "learning_rate": 0.00040982142857142855, "loss": 0.4502, "step": 807 }, { "epoch": 7.41, "learning_rate": 0.00040952380952380955, "loss": 0.4419, "step": 808 }, { "epoch": 7.42, "learning_rate": 0.0004092261904761905, "loss": 0.4096, "step": 809 }, { "epoch": 7.43, "learning_rate": 0.0004089285714285714, "loss": 0.361, "step": 810 }, { "epoch": 7.44, "learning_rate": 0.00040863095238095236, "loss": 0.3831, "step": 811 }, { "epoch": 7.45, "learning_rate": 0.00040833333333333336, "loss": 0.343, "step": 812 }, { "epoch": 7.46, "learning_rate": 0.0004080357142857143, "loss": 0.6617, "step": 813 }, { "epoch": 7.47, "learning_rate": 0.00040773809523809523, "loss": 0.4464, "step": 814 }, { "epoch": 7.48, "learning_rate": 0.00040744047619047617, "loss": 0.3023, "step": 815 }, { "epoch": 7.49, "learning_rate": 0.00040714285714285717, "loss": 0.3661, "step": 816 }, { "epoch": 7.5, "learning_rate": 0.0004068452380952381, "loss": 0.3297, "step": 817 }, { "epoch": 7.5, "learning_rate": 0.00040654761904761904, "loss": 0.3128, "step": 818 }, { "epoch": 7.51, "learning_rate": 0.00040625000000000004, "loss": 0.3508, "step": 819 }, { "epoch": 7.52, "learning_rate": 0.000405952380952381, "loss": 0.4379, "step": 820 }, { "epoch": 7.53, "learning_rate": 0.0004056547619047619, "loss": 0.3658, "step": 821 }, { "epoch": 7.54, "learning_rate": 0.00040535714285714285, "loss": 0.3452, "step": 822 }, { "epoch": 7.55, "learning_rate": 0.00040505952380952384, "loss": 0.2632, "step": 823 }, { "epoch": 7.56, "learning_rate": 0.0004047619047619048, "loss": 0.329, "step": 824 }, { "epoch": 7.57, "learning_rate": 0.0004044642857142857, "loss": 0.3464, "step": 825 }, { "epoch": 7.58, "learning_rate": 0.00040416666666666666, "loss": 0.331, "step": 826 }, { "epoch": 7.59, "learning_rate": 0.00040386904761904765, "loss": 0.4117, "step": 827 }, { "epoch": 7.6, "learning_rate": 0.0004035714285714286, "loss": 0.4321, "step": 828 }, { "epoch": 7.61, "learning_rate": 0.00040327380952380953, "loss": 0.4561, "step": 829 }, { "epoch": 7.61, "learning_rate": 0.00040297619047619047, "loss": 0.5066, "step": 830 }, { "epoch": 7.62, "learning_rate": 0.00040267857142857146, "loss": 0.422, "step": 831 }, { "epoch": 7.63, "learning_rate": 0.0004023809523809524, "loss": 0.4191, "step": 832 }, { "epoch": 7.64, "learning_rate": 0.00040208333333333334, "loss": 0.3214, "step": 833 }, { "epoch": 7.65, "learning_rate": 0.00040178571428571433, "loss": 0.4118, "step": 834 }, { "epoch": 7.66, "learning_rate": 0.00040148809523809527, "loss": 0.4488, "step": 835 }, { "epoch": 7.67, "learning_rate": 0.0004011904761904762, "loss": 0.3547, "step": 836 }, { "epoch": 7.68, "learning_rate": 0.00040089285714285715, "loss": 0.4759, "step": 837 }, { "epoch": 7.69, "learning_rate": 0.00040059523809523814, "loss": 0.5, "step": 838 }, { "epoch": 7.7, "learning_rate": 0.0004002976190476191, "loss": 0.3379, "step": 839 }, { "epoch": 7.71, "learning_rate": 0.0004, "loss": 0.3661, "step": 840 }, { "epoch": 7.72, "learning_rate": 0.00039970238095238096, "loss": 0.3711, "step": 841 }, { "epoch": 7.72, "learning_rate": 0.00039940476190476195, "loss": 0.3131, "step": 842 }, { "epoch": 7.73, "learning_rate": 0.0003991071428571429, "loss": 0.3414, "step": 843 }, { "epoch": 7.74, "learning_rate": 0.00039880952380952383, "loss": 0.3539, "step": 844 }, { "epoch": 7.75, "learning_rate": 0.0003985119047619048, "loss": 0.3457, "step": 845 }, { "epoch": 7.76, "learning_rate": 0.0003982142857142857, "loss": 0.299, "step": 846 }, { "epoch": 7.77, "learning_rate": 0.00039791666666666664, "loss": 0.3792, "step": 847 }, { "epoch": 7.78, "learning_rate": 0.0003976190476190476, "loss": 0.4334, "step": 848 }, { "epoch": 7.79, "learning_rate": 0.0003973214285714286, "loss": 0.3011, "step": 849 }, { "epoch": 7.8, "learning_rate": 0.0003970238095238095, "loss": 0.4186, "step": 850 }, { "epoch": 7.81, "learning_rate": 0.00039672619047619045, "loss": 0.4048, "step": 851 }, { "epoch": 7.82, "learning_rate": 0.0003964285714285714, "loss": 0.4028, "step": 852 }, { "epoch": 7.83, "learning_rate": 0.0003961309523809524, "loss": 0.3563, "step": 853 }, { "epoch": 7.83, "learning_rate": 0.0003958333333333333, "loss": 0.4591, "step": 854 }, { "epoch": 7.84, "learning_rate": 0.00039553571428571426, "loss": 0.3766, "step": 855 }, { "epoch": 7.85, "learning_rate": 0.00039523809523809526, "loss": 0.4764, "step": 856 }, { "epoch": 7.86, "learning_rate": 0.0003949404761904762, "loss": 0.3666, "step": 857 }, { "epoch": 7.87, "learning_rate": 0.00039464285714285713, "loss": 0.4205, "step": 858 }, { "epoch": 7.88, "learning_rate": 0.00039434523809523807, "loss": 0.4185, "step": 859 }, { "epoch": 7.89, "learning_rate": 0.00039404761904761906, "loss": 0.4093, "step": 860 }, { "epoch": 7.9, "learning_rate": 0.00039375, "loss": 0.3376, "step": 861 }, { "epoch": 7.91, "learning_rate": 0.00039345238095238094, "loss": 0.4816, "step": 862 }, { "epoch": 7.92, "learning_rate": 0.0003931547619047619, "loss": 0.5414, "step": 863 }, { "epoch": 7.93, "learning_rate": 0.0003928571428571429, "loss": 0.4455, "step": 864 }, { "epoch": 7.94, "learning_rate": 0.0003925595238095238, "loss": 0.4133, "step": 865 }, { "epoch": 7.94, "learning_rate": 0.00039226190476190475, "loss": 0.3418, "step": 866 }, { "epoch": 7.95, "learning_rate": 0.00039196428571428574, "loss": 0.3913, "step": 867 }, { "epoch": 7.96, "learning_rate": 0.0003916666666666667, "loss": 0.3829, "step": 868 }, { "epoch": 7.97, "learning_rate": 0.0003913690476190476, "loss": 0.2972, "step": 869 }, { "epoch": 7.98, "learning_rate": 0.00039107142857142856, "loss": 0.4337, "step": 870 }, { "epoch": 7.99, "learning_rate": 0.00039077380952380955, "loss": 0.4927, "step": 871 }, { "epoch": 8.0, "learning_rate": 0.0003904761904761905, "loss": 0.5129, "step": 872 }, { "epoch": 8.01, "learning_rate": 0.00039017857142857143, "loss": 0.2227, "step": 873 }, { "epoch": 8.02, "learning_rate": 0.00038988095238095237, "loss": 0.3338, "step": 874 }, { "epoch": 8.03, "learning_rate": 0.00038958333333333336, "loss": 0.2917, "step": 875 }, { "epoch": 8.04, "learning_rate": 0.0003892857142857143, "loss": 0.2678, "step": 876 }, { "epoch": 8.05, "learning_rate": 0.00038898809523809524, "loss": 0.2627, "step": 877 }, { "epoch": 8.06, "learning_rate": 0.00038869047619047623, "loss": 0.3013, "step": 878 }, { "epoch": 8.06, "learning_rate": 0.00038839285714285717, "loss": 0.2443, "step": 879 }, { "epoch": 8.07, "learning_rate": 0.0003880952380952381, "loss": 0.3228, "step": 880 }, { "epoch": 8.08, "learning_rate": 0.00038779761904761905, "loss": 0.2655, "step": 881 }, { "epoch": 8.09, "learning_rate": 0.00038750000000000004, "loss": 0.2557, "step": 882 }, { "epoch": 8.1, "learning_rate": 0.000387202380952381, "loss": 0.3123, "step": 883 }, { "epoch": 8.11, "learning_rate": 0.0003869047619047619, "loss": 0.2731, "step": 884 }, { "epoch": 8.12, "learning_rate": 0.00038660714285714286, "loss": 0.2922, "step": 885 }, { "epoch": 8.13, "learning_rate": 0.00038630952380952385, "loss": 0.3141, "step": 886 }, { "epoch": 8.14, "learning_rate": 0.0003860119047619048, "loss": 0.2942, "step": 887 }, { "epoch": 8.15, "learning_rate": 0.0003857142857142857, "loss": 0.2612, "step": 888 }, { "epoch": 8.16, "learning_rate": 0.0003854166666666667, "loss": 0.3409, "step": 889 }, { "epoch": 8.17, "learning_rate": 0.00038511904761904766, "loss": 0.3169, "step": 890 }, { "epoch": 8.17, "learning_rate": 0.0003848214285714286, "loss": 0.2686, "step": 891 }, { "epoch": 8.18, "learning_rate": 0.00038452380952380954, "loss": 0.3858, "step": 892 }, { "epoch": 8.19, "learning_rate": 0.00038422619047619053, "loss": 0.4038, "step": 893 }, { "epoch": 8.2, "learning_rate": 0.00038392857142857147, "loss": 0.3448, "step": 894 }, { "epoch": 8.21, "learning_rate": 0.0003836309523809524, "loss": 0.2985, "step": 895 }, { "epoch": 8.22, "learning_rate": 0.00038333333333333334, "loss": 0.3257, "step": 896 }, { "epoch": 8.23, "learning_rate": 0.00038303571428571434, "loss": 0.3967, "step": 897 }, { "epoch": 8.24, "learning_rate": 0.0003827380952380952, "loss": 0.3701, "step": 898 }, { "epoch": 8.25, "learning_rate": 0.00038244047619047616, "loss": 0.2376, "step": 899 }, { "epoch": 8.26, "learning_rate": 0.0003821428571428571, "loss": 0.2946, "step": 900 }, { "epoch": 8.26, "eval_loss": 0.7064677476882935, "eval_runtime": 37.1375, "eval_samples_per_second": 44.349, "eval_steps_per_second": 2.773, "eval_wer": 0.21533781620236953, "step": 900 }, { "epoch": 8.27, "learning_rate": 0.0003818452380952381, "loss": 0.2596, "step": 901 }, { "epoch": 8.28, "learning_rate": 0.00038154761904761903, "loss": 0.2161, "step": 902 }, { "epoch": 8.28, "learning_rate": 0.00038124999999999997, "loss": 0.2869, "step": 903 }, { "epoch": 8.29, "learning_rate": 0.00038095238095238096, "loss": 0.3107, "step": 904 }, { "epoch": 8.3, "learning_rate": 0.0003806547619047619, "loss": 0.2823, "step": 905 }, { "epoch": 8.31, "learning_rate": 0.00038035714285714284, "loss": 0.2716, "step": 906 }, { "epoch": 8.32, "learning_rate": 0.0003800595238095238, "loss": 0.2612, "step": 907 }, { "epoch": 8.33, "learning_rate": 0.00037976190476190477, "loss": 0.2548, "step": 908 }, { "epoch": 8.34, "learning_rate": 0.0003794642857142857, "loss": 0.2585, "step": 909 }, { "epoch": 8.35, "learning_rate": 0.00037916666666666665, "loss": 0.2938, "step": 910 }, { "epoch": 8.36, "learning_rate": 0.0003788690476190476, "loss": 0.2688, "step": 911 }, { "epoch": 8.37, "learning_rate": 0.0003785714285714286, "loss": 0.2881, "step": 912 }, { "epoch": 8.38, "learning_rate": 0.0003782738095238095, "loss": 0.2676, "step": 913 }, { "epoch": 8.39, "learning_rate": 0.00037797619047619046, "loss": 0.2446, "step": 914 }, { "epoch": 8.39, "learning_rate": 0.00037767857142857145, "loss": 0.2669, "step": 915 }, { "epoch": 8.4, "learning_rate": 0.0003773809523809524, "loss": 0.2959, "step": 916 }, { "epoch": 8.41, "learning_rate": 0.00037708333333333333, "loss": 0.2877, "step": 917 }, { "epoch": 8.42, "learning_rate": 0.00037678571428571427, "loss": 0.4083, "step": 918 }, { "epoch": 8.43, "learning_rate": 0.00037648809523809526, "loss": 0.2427, "step": 919 }, { "epoch": 8.44, "learning_rate": 0.0003761904761904762, "loss": 0.3435, "step": 920 }, { "epoch": 8.45, "learning_rate": 0.00037589285714285714, "loss": 0.3214, "step": 921 }, { "epoch": 8.46, "learning_rate": 0.0003755952380952381, "loss": 0.3621, "step": 922 }, { "epoch": 8.47, "learning_rate": 0.00037529761904761907, "loss": 0.275, "step": 923 }, { "epoch": 8.48, "learning_rate": 0.000375, "loss": 0.2609, "step": 924 }, { "epoch": 8.49, "learning_rate": 0.00037470238095238095, "loss": 0.3094, "step": 925 }, { "epoch": 8.5, "learning_rate": 0.00037440476190476194, "loss": 0.2402, "step": 926 }, { "epoch": 8.5, "learning_rate": 0.0003741071428571429, "loss": 0.2685, "step": 927 }, { "epoch": 8.51, "learning_rate": 0.0003738095238095238, "loss": 0.284, "step": 928 }, { "epoch": 8.52, "learning_rate": 0.00037351190476190476, "loss": 0.2738, "step": 929 }, { "epoch": 8.53, "learning_rate": 0.00037321428571428575, "loss": 0.2941, "step": 930 }, { "epoch": 8.54, "learning_rate": 0.0003729166666666667, "loss": 0.3129, "step": 931 }, { "epoch": 8.55, "learning_rate": 0.0003726190476190476, "loss": 0.2564, "step": 932 }, { "epoch": 8.56, "learning_rate": 0.00037232142857142856, "loss": 0.2302, "step": 933 }, { "epoch": 8.57, "learning_rate": 0.00037202380952380956, "loss": 0.2942, "step": 934 }, { "epoch": 8.58, "learning_rate": 0.0003717261904761905, "loss": 0.2854, "step": 935 }, { "epoch": 8.59, "learning_rate": 0.00037142857142857143, "loss": 0.3366, "step": 936 }, { "epoch": 8.6, "learning_rate": 0.00037113095238095243, "loss": 0.2416, "step": 937 }, { "epoch": 8.61, "learning_rate": 0.00037083333333333337, "loss": 0.3815, "step": 938 }, { "epoch": 8.61, "learning_rate": 0.0003705357142857143, "loss": 0.2273, "step": 939 }, { "epoch": 8.62, "learning_rate": 0.00037023809523809524, "loss": 0.258, "step": 940 }, { "epoch": 8.63, "learning_rate": 0.00036994047619047624, "loss": 0.3317, "step": 941 }, { "epoch": 8.64, "learning_rate": 0.0003696428571428572, "loss": 0.2857, "step": 942 }, { "epoch": 8.65, "learning_rate": 0.0003693452380952381, "loss": 0.2989, "step": 943 }, { "epoch": 8.66, "learning_rate": 0.00036904761904761905, "loss": 0.3646, "step": 944 }, { "epoch": 8.67, "learning_rate": 0.00036875000000000005, "loss": 0.4941, "step": 945 }, { "epoch": 8.68, "learning_rate": 0.000368452380952381, "loss": 0.369, "step": 946 }, { "epoch": 8.69, "learning_rate": 0.0003681547619047619, "loss": 0.4309, "step": 947 }, { "epoch": 8.7, "learning_rate": 0.0003678571428571429, "loss": 0.2453, "step": 948 }, { "epoch": 8.71, "learning_rate": 0.00036755952380952385, "loss": 0.3439, "step": 949 }, { "epoch": 8.72, "learning_rate": 0.0003672619047619048, "loss": 0.223, "step": 950 }, { "epoch": 8.72, "learning_rate": 0.0003669642857142857, "loss": 0.3599, "step": 951 }, { "epoch": 8.73, "learning_rate": 0.00036666666666666667, "loss": 0.2941, "step": 952 }, { "epoch": 8.74, "learning_rate": 0.0003663690476190476, "loss": 0.2427, "step": 953 }, { "epoch": 8.75, "learning_rate": 0.00036607142857142855, "loss": 0.32, "step": 954 }, { "epoch": 8.76, "learning_rate": 0.0003657738095238095, "loss": 0.2487, "step": 955 }, { "epoch": 8.77, "learning_rate": 0.0003654761904761905, "loss": 0.2606, "step": 956 }, { "epoch": 8.78, "learning_rate": 0.0003651785714285714, "loss": 0.2732, "step": 957 }, { "epoch": 8.79, "learning_rate": 0.00036488095238095236, "loss": 0.2453, "step": 958 }, { "epoch": 8.8, "learning_rate": 0.0003645833333333333, "loss": 0.2618, "step": 959 }, { "epoch": 8.81, "learning_rate": 0.0003642857142857143, "loss": 0.3253, "step": 960 }, { "epoch": 8.82, "learning_rate": 0.00036398809523809523, "loss": 0.3533, "step": 961 }, { "epoch": 8.83, "learning_rate": 0.00036369047619047617, "loss": 0.2846, "step": 962 }, { "epoch": 8.83, "learning_rate": 0.00036339285714285716, "loss": 0.2442, "step": 963 }, { "epoch": 8.84, "learning_rate": 0.0003630952380952381, "loss": 0.2696, "step": 964 }, { "epoch": 8.85, "learning_rate": 0.00036279761904761904, "loss": 0.3175, "step": 965 }, { "epoch": 8.86, "learning_rate": 0.0003625, "loss": 0.3171, "step": 966 }, { "epoch": 8.87, "learning_rate": 0.00036220238095238097, "loss": 0.3092, "step": 967 }, { "epoch": 8.88, "learning_rate": 0.0003619047619047619, "loss": 0.3577, "step": 968 }, { "epoch": 8.89, "learning_rate": 0.00036160714285714285, "loss": 0.372, "step": 969 }, { "epoch": 8.9, "learning_rate": 0.0003613095238095238, "loss": 0.3897, "step": 970 }, { "epoch": 8.91, "learning_rate": 0.0003610119047619048, "loss": 0.4045, "step": 971 }, { "epoch": 8.92, "learning_rate": 0.0003607142857142857, "loss": 0.5022, "step": 972 }, { "epoch": 8.93, "learning_rate": 0.00036041666666666665, "loss": 0.257, "step": 973 }, { "epoch": 8.94, "learning_rate": 0.00036011904761904765, "loss": 0.2919, "step": 974 }, { "epoch": 8.94, "learning_rate": 0.0003598214285714286, "loss": 0.3137, "step": 975 }, { "epoch": 8.95, "learning_rate": 0.0003595238095238095, "loss": 0.2893, "step": 976 }, { "epoch": 8.96, "learning_rate": 0.00035922619047619046, "loss": 0.2547, "step": 977 }, { "epoch": 8.97, "learning_rate": 0.00035892857142857146, "loss": 0.3911, "step": 978 }, { "epoch": 8.98, "learning_rate": 0.0003586309523809524, "loss": 0.3134, "step": 979 }, { "epoch": 8.99, "learning_rate": 0.00035833333333333333, "loss": 0.311, "step": 980 }, { "epoch": 9.0, "learning_rate": 0.00035803571428571427, "loss": 0.4336, "step": 981 }, { "epoch": 9.01, "learning_rate": 0.00035773809523809527, "loss": 0.1838, "step": 982 }, { "epoch": 9.02, "learning_rate": 0.0003574404761904762, "loss": 0.2559, "step": 983 }, { "epoch": 9.03, "learning_rate": 0.00035714285714285714, "loss": 0.2247, "step": 984 }, { "epoch": 9.04, "learning_rate": 0.00035684523809523814, "loss": 0.2119, "step": 985 }, { "epoch": 9.05, "learning_rate": 0.0003565476190476191, "loss": 0.2202, "step": 986 }, { "epoch": 9.06, "learning_rate": 0.00035625, "loss": 0.2031, "step": 987 }, { "epoch": 9.06, "learning_rate": 0.00035595238095238095, "loss": 0.19, "step": 988 }, { "epoch": 9.07, "learning_rate": 0.00035565476190476194, "loss": 0.2541, "step": 989 }, { "epoch": 9.08, "learning_rate": 0.0003553571428571429, "loss": 0.2376, "step": 990 }, { "epoch": 9.09, "learning_rate": 0.0003550595238095238, "loss": 0.2968, "step": 991 }, { "epoch": 9.1, "learning_rate": 0.00035476190476190476, "loss": 0.2985, "step": 992 }, { "epoch": 9.11, "learning_rate": 0.00035446428571428575, "loss": 0.1839, "step": 993 }, { "epoch": 9.12, "learning_rate": 0.0003541666666666667, "loss": 0.2029, "step": 994 }, { "epoch": 9.13, "learning_rate": 0.00035386904761904763, "loss": 0.308, "step": 995 }, { "epoch": 9.14, "learning_rate": 0.0003535714285714286, "loss": 0.216, "step": 996 }, { "epoch": 9.15, "learning_rate": 0.00035327380952380956, "loss": 0.3188, "step": 997 }, { "epoch": 9.16, "learning_rate": 0.0003529761904761905, "loss": 0.2276, "step": 998 }, { "epoch": 9.17, "learning_rate": 0.00035267857142857144, "loss": 0.2359, "step": 999 }, { "epoch": 9.17, "learning_rate": 0.00035238095238095243, "loss": 0.2868, "step": 1000 }, { "epoch": 9.17, "eval_loss": 0.6840150356292725, "eval_runtime": 37.0156, "eval_samples_per_second": 44.495, "eval_steps_per_second": 2.783, "eval_wer": 0.21149535702849823, "step": 1000 }, { "epoch": 9.18, "learning_rate": 0.00035208333333333337, "loss": 0.2791, "step": 1001 }, { "epoch": 9.19, "learning_rate": 0.0003517857142857143, "loss": 0.2604, "step": 1002 }, { "epoch": 9.2, "learning_rate": 0.0003514880952380952, "loss": 0.2241, "step": 1003 }, { "epoch": 9.21, "learning_rate": 0.0003511904761904762, "loss": 0.2533, "step": 1004 }, { "epoch": 9.22, "learning_rate": 0.0003508928571428571, "loss": 0.2323, "step": 1005 }, { "epoch": 9.23, "learning_rate": 0.00035059523809523806, "loss": 0.3852, "step": 1006 }, { "epoch": 9.24, "learning_rate": 0.00035029761904761906, "loss": 0.1816, "step": 1007 }, { "epoch": 9.25, "learning_rate": 0.00035, "loss": 0.2424, "step": 1008 }, { "epoch": 9.26, "learning_rate": 0.00034970238095238094, "loss": 0.2433, "step": 1009 }, { "epoch": 9.27, "learning_rate": 0.0003494047619047619, "loss": 0.2205, "step": 1010 }, { "epoch": 9.28, "learning_rate": 0.00034910714285714287, "loss": 0.2195, "step": 1011 }, { "epoch": 9.28, "learning_rate": 0.0003488095238095238, "loss": 0.2785, "step": 1012 }, { "epoch": 9.29, "learning_rate": 0.00034851190476190474, "loss": 0.2081, "step": 1013 }, { "epoch": 9.3, "learning_rate": 0.0003482142857142857, "loss": 0.1919, "step": 1014 }, { "epoch": 9.31, "learning_rate": 0.0003479166666666667, "loss": 0.1916, "step": 1015 }, { "epoch": 9.32, "learning_rate": 0.0003476190476190476, "loss": 0.2608, "step": 1016 }, { "epoch": 9.33, "learning_rate": 0.00034732142857142855, "loss": 0.2061, "step": 1017 }, { "epoch": 9.34, "learning_rate": 0.00034702380952380955, "loss": 0.231, "step": 1018 }, { "epoch": 9.35, "learning_rate": 0.0003467261904761905, "loss": 0.2966, "step": 1019 }, { "epoch": 9.36, "learning_rate": 0.0003464285714285714, "loss": 0.2182, "step": 1020 }, { "epoch": 9.37, "learning_rate": 0.00034613095238095236, "loss": 0.2253, "step": 1021 }, { "epoch": 9.38, "learning_rate": 0.00034583333333333335, "loss": 0.2194, "step": 1022 }, { "epoch": 9.39, "learning_rate": 0.0003455357142857143, "loss": 0.2211, "step": 1023 }, { "epoch": 9.39, "learning_rate": 0.00034523809523809523, "loss": 0.2318, "step": 1024 }, { "epoch": 9.4, "learning_rate": 0.00034494047619047617, "loss": 0.2568, "step": 1025 }, { "epoch": 9.41, "learning_rate": 0.00034464285714285716, "loss": 0.2787, "step": 1026 }, { "epoch": 9.42, "learning_rate": 0.0003443452380952381, "loss": 0.3128, "step": 1027 }, { "epoch": 9.43, "learning_rate": 0.00034404761904761904, "loss": 0.3909, "step": 1028 }, { "epoch": 9.44, "learning_rate": 0.00034375, "loss": 0.3002, "step": 1029 }, { "epoch": 9.45, "learning_rate": 0.000343452380952381, "loss": 0.3773, "step": 1030 }, { "epoch": 9.46, "learning_rate": 0.0003431547619047619, "loss": 0.2966, "step": 1031 }, { "epoch": 9.47, "learning_rate": 0.00034285714285714285, "loss": 0.2592, "step": 1032 }, { "epoch": 9.48, "learning_rate": 0.00034255952380952384, "loss": 0.241, "step": 1033 }, { "epoch": 9.49, "learning_rate": 0.0003422619047619048, "loss": 0.2041, "step": 1034 }, { "epoch": 9.5, "learning_rate": 0.0003419642857142857, "loss": 0.28, "step": 1035 }, { "epoch": 9.5, "learning_rate": 0.00034166666666666666, "loss": 0.2085, "step": 1036 }, { "epoch": 9.51, "learning_rate": 0.00034136904761904765, "loss": 0.1941, "step": 1037 }, { "epoch": 9.52, "learning_rate": 0.0003410714285714286, "loss": 0.231, "step": 1038 }, { "epoch": 9.53, "learning_rate": 0.00034077380952380953, "loss": 0.2515, "step": 1039 }, { "epoch": 9.54, "learning_rate": 0.00034047619047619047, "loss": 0.1928, "step": 1040 }, { "epoch": 9.55, "learning_rate": 0.00034017857142857146, "loss": 0.2551, "step": 1041 }, { "epoch": 9.56, "learning_rate": 0.0003398809523809524, "loss": 0.1941, "step": 1042 }, { "epoch": 9.57, "learning_rate": 0.00033958333333333334, "loss": 0.2178, "step": 1043 }, { "epoch": 9.58, "learning_rate": 0.00033928571428571433, "loss": 0.2424, "step": 1044 }, { "epoch": 9.59, "learning_rate": 0.00033898809523809527, "loss": 0.1978, "step": 1045 }, { "epoch": 9.6, "learning_rate": 0.0003386904761904762, "loss": 0.2971, "step": 1046 }, { "epoch": 9.61, "learning_rate": 0.00033839285714285715, "loss": 0.209, "step": 1047 }, { "epoch": 9.61, "learning_rate": 0.00033809523809523814, "loss": 0.3304, "step": 1048 }, { "epoch": 9.62, "learning_rate": 0.0003377976190476191, "loss": 0.2405, "step": 1049 }, { "epoch": 9.63, "learning_rate": 0.0003375, "loss": 0.2384, "step": 1050 }, { "epoch": 9.64, "learning_rate": 0.00033720238095238096, "loss": 0.2111, "step": 1051 }, { "epoch": 9.65, "learning_rate": 0.00033690476190476195, "loss": 0.2861, "step": 1052 }, { "epoch": 9.66, "learning_rate": 0.0003366071428571429, "loss": 0.2644, "step": 1053 }, { "epoch": 9.67, "learning_rate": 0.0003363095238095238, "loss": 0.3634, "step": 1054 }, { "epoch": 9.68, "learning_rate": 0.0003360119047619048, "loss": 0.4161, "step": 1055 }, { "epoch": 9.69, "learning_rate": 0.0003357142857142857, "loss": 0.3934, "step": 1056 }, { "epoch": 9.7, "learning_rate": 0.00033541666666666664, "loss": 0.2475, "step": 1057 }, { "epoch": 9.71, "learning_rate": 0.0003351190476190476, "loss": 0.2075, "step": 1058 }, { "epoch": 9.72, "learning_rate": 0.0003348214285714286, "loss": 0.2203, "step": 1059 }, { "epoch": 9.72, "learning_rate": 0.0003345238095238095, "loss": 0.2575, "step": 1060 }, { "epoch": 9.73, "learning_rate": 0.00033422619047619045, "loss": 0.2083, "step": 1061 }, { "epoch": 9.74, "learning_rate": 0.0003339285714285714, "loss": 0.2592, "step": 1062 }, { "epoch": 9.75, "learning_rate": 0.0003336309523809524, "loss": 0.272, "step": 1063 }, { "epoch": 9.76, "learning_rate": 0.0003333333333333333, "loss": 0.2289, "step": 1064 }, { "epoch": 9.77, "learning_rate": 0.00033303571428571426, "loss": 0.2054, "step": 1065 }, { "epoch": 9.78, "learning_rate": 0.00033273809523809525, "loss": 0.2495, "step": 1066 }, { "epoch": 9.79, "learning_rate": 0.0003324404761904762, "loss": 0.248, "step": 1067 }, { "epoch": 9.8, "learning_rate": 0.00033214285714285713, "loss": 0.1639, "step": 1068 }, { "epoch": 9.81, "learning_rate": 0.00033184523809523807, "loss": 0.2519, "step": 1069 }, { "epoch": 9.82, "learning_rate": 0.00033154761904761906, "loss": 0.3246, "step": 1070 }, { "epoch": 9.83, "learning_rate": 0.00033125, "loss": 0.244, "step": 1071 }, { "epoch": 9.83, "learning_rate": 0.00033095238095238094, "loss": 0.2755, "step": 1072 }, { "epoch": 9.84, "learning_rate": 0.0003306547619047619, "loss": 0.2482, "step": 1073 }, { "epoch": 9.85, "learning_rate": 0.00033035714285714287, "loss": 0.2851, "step": 1074 }, { "epoch": 9.86, "learning_rate": 0.0003300595238095238, "loss": 0.298, "step": 1075 }, { "epoch": 9.87, "learning_rate": 0.00032976190476190475, "loss": 0.2937, "step": 1076 }, { "epoch": 9.88, "learning_rate": 0.00032946428571428574, "loss": 0.2559, "step": 1077 }, { "epoch": 9.89, "learning_rate": 0.0003291666666666667, "loss": 0.2288, "step": 1078 }, { "epoch": 9.9, "learning_rate": 0.0003288690476190476, "loss": 0.2818, "step": 1079 }, { "epoch": 9.91, "learning_rate": 0.00032857142857142856, "loss": 0.3398, "step": 1080 }, { "epoch": 9.92, "learning_rate": 0.00032827380952380955, "loss": 0.3383, "step": 1081 }, { "epoch": 9.93, "learning_rate": 0.0003279761904761905, "loss": 0.2191, "step": 1082 }, { "epoch": 9.94, "learning_rate": 0.00032767857142857143, "loss": 0.2869, "step": 1083 }, { "epoch": 9.94, "learning_rate": 0.00032738095238095237, "loss": 0.2246, "step": 1084 }, { "epoch": 9.95, "learning_rate": 0.00032708333333333336, "loss": 0.2791, "step": 1085 }, { "epoch": 9.96, "learning_rate": 0.0003267857142857143, "loss": 0.2363, "step": 1086 }, { "epoch": 9.97, "learning_rate": 0.00032648809523809524, "loss": 0.2835, "step": 1087 }, { "epoch": 9.98, "learning_rate": 0.00032619047619047623, "loss": 0.1896, "step": 1088 }, { "epoch": 9.99, "learning_rate": 0.00032589285714285717, "loss": 0.28, "step": 1089 }, { "epoch": 10.0, "learning_rate": 0.0003255952380952381, "loss": 0.2528, "step": 1090 }, { "epoch": 10.01, "learning_rate": 0.00032529761904761905, "loss": 0.1597, "step": 1091 }, { "epoch": 10.02, "learning_rate": 0.00032500000000000004, "loss": 0.1638, "step": 1092 }, { "epoch": 10.03, "learning_rate": 0.000324702380952381, "loss": 0.1685, "step": 1093 }, { "epoch": 10.04, "learning_rate": 0.0003244047619047619, "loss": 0.1743, "step": 1094 }, { "epoch": 10.05, "learning_rate": 0.00032410714285714286, "loss": 0.2036, "step": 1095 }, { "epoch": 10.06, "learning_rate": 0.00032380952380952385, "loss": 0.1537, "step": 1096 }, { "epoch": 10.06, "learning_rate": 0.0003235119047619048, "loss": 0.1965, "step": 1097 }, { "epoch": 10.07, "learning_rate": 0.0003232142857142857, "loss": 0.1632, "step": 1098 }, { "epoch": 10.08, "learning_rate": 0.0003229166666666667, "loss": 0.1855, "step": 1099 }, { "epoch": 10.09, "learning_rate": 0.00032261904761904766, "loss": 0.2245, "step": 1100 }, { "epoch": 10.09, "eval_loss": 0.6714171171188354, "eval_runtime": 36.7057, "eval_samples_per_second": 44.87, "eval_steps_per_second": 2.806, "eval_wer": 0.1951649055395453, "step": 1100 }, { "epoch": 10.1, "learning_rate": 0.0003223214285714286, "loss": 0.2124, "step": 1101 }, { "epoch": 10.11, "learning_rate": 0.00032202380952380953, "loss": 0.1662, "step": 1102 }, { "epoch": 10.12, "learning_rate": 0.00032172619047619053, "loss": 0.1575, "step": 1103 }, { "epoch": 10.13, "learning_rate": 0.00032142857142857147, "loss": 0.1855, "step": 1104 }, { "epoch": 10.14, "learning_rate": 0.0003211309523809524, "loss": 0.1469, "step": 1105 }, { "epoch": 10.15, "learning_rate": 0.00032083333333333334, "loss": 0.2269, "step": 1106 }, { "epoch": 10.16, "learning_rate": 0.00032053571428571434, "loss": 0.1851, "step": 1107 }, { "epoch": 10.17, "learning_rate": 0.0003202380952380952, "loss": 0.1973, "step": 1108 }, { "epoch": 10.17, "learning_rate": 0.00031994047619047616, "loss": 0.1702, "step": 1109 }, { "epoch": 10.18, "learning_rate": 0.0003196428571428571, "loss": 0.2572, "step": 1110 }, { "epoch": 10.19, "learning_rate": 0.0003193452380952381, "loss": 0.2217, "step": 1111 }, { "epoch": 10.2, "learning_rate": 0.00031904761904761903, "loss": 0.3484, "step": 1112 }, { "epoch": 10.21, "learning_rate": 0.00031874999999999997, "loss": 0.2573, "step": 1113 }, { "epoch": 10.22, "learning_rate": 0.00031845238095238096, "loss": 0.2933, "step": 1114 }, { "epoch": 10.23, "learning_rate": 0.0003181547619047619, "loss": 0.2721, "step": 1115 }, { "epoch": 10.24, "learning_rate": 0.00031785714285714284, "loss": 0.2322, "step": 1116 }, { "epoch": 10.25, "learning_rate": 0.0003175595238095238, "loss": 0.209, "step": 1117 }, { "epoch": 10.26, "learning_rate": 0.00031726190476190477, "loss": 0.1959, "step": 1118 }, { "epoch": 10.27, "learning_rate": 0.0003169642857142857, "loss": 0.2054, "step": 1119 }, { "epoch": 10.28, "learning_rate": 0.00031666666666666665, "loss": 0.2067, "step": 1120 }, { "epoch": 10.28, "learning_rate": 0.0003163690476190476, "loss": 0.1761, "step": 1121 }, { "epoch": 10.29, "learning_rate": 0.0003160714285714286, "loss": 0.1438, "step": 1122 }, { "epoch": 10.3, "learning_rate": 0.0003157738095238095, "loss": 0.2193, "step": 1123 }, { "epoch": 10.31, "learning_rate": 0.00031547619047619046, "loss": 0.1247, "step": 1124 }, { "epoch": 10.32, "learning_rate": 0.00031517857142857145, "loss": 0.1663, "step": 1125 }, { "epoch": 10.33, "learning_rate": 0.0003148809523809524, "loss": 0.1558, "step": 1126 }, { "epoch": 10.34, "learning_rate": 0.00031458333333333333, "loss": 0.2255, "step": 1127 }, { "epoch": 10.35, "learning_rate": 0.00031428571428571427, "loss": 0.1876, "step": 1128 }, { "epoch": 10.36, "learning_rate": 0.00031398809523809526, "loss": 0.2509, "step": 1129 }, { "epoch": 10.37, "learning_rate": 0.0003136904761904762, "loss": 0.2681, "step": 1130 }, { "epoch": 10.38, "learning_rate": 0.00031339285714285714, "loss": 0.1969, "step": 1131 }, { "epoch": 10.39, "learning_rate": 0.0003130952380952381, "loss": 0.2223, "step": 1132 }, { "epoch": 10.39, "learning_rate": 0.00031279761904761907, "loss": 0.2032, "step": 1133 }, { "epoch": 10.4, "learning_rate": 0.0003125, "loss": 0.2677, "step": 1134 }, { "epoch": 10.41, "learning_rate": 0.00031220238095238095, "loss": 0.2092, "step": 1135 }, { "epoch": 10.42, "learning_rate": 0.00031190476190476194, "loss": 0.2098, "step": 1136 }, { "epoch": 10.43, "learning_rate": 0.0003116071428571429, "loss": 0.2574, "step": 1137 }, { "epoch": 10.44, "learning_rate": 0.0003113095238095238, "loss": 0.2726, "step": 1138 }, { "epoch": 10.45, "learning_rate": 0.00031101190476190475, "loss": 0.2737, "step": 1139 }, { "epoch": 10.46, "learning_rate": 0.00031071428571428575, "loss": 0.3136, "step": 1140 }, { "epoch": 10.47, "learning_rate": 0.0003104166666666667, "loss": 0.1579, "step": 1141 }, { "epoch": 10.48, "learning_rate": 0.0003101190476190476, "loss": 0.2151, "step": 1142 }, { "epoch": 10.49, "learning_rate": 0.00030982142857142856, "loss": 0.1319, "step": 1143 }, { "epoch": 10.5, "learning_rate": 0.00030952380952380956, "loss": 0.1572, "step": 1144 }, { "epoch": 10.5, "learning_rate": 0.0003092261904761905, "loss": 0.1858, "step": 1145 }, { "epoch": 10.51, "learning_rate": 0.00030892857142857143, "loss": 0.1836, "step": 1146 }, { "epoch": 10.52, "learning_rate": 0.0003086309523809524, "loss": 0.1712, "step": 1147 }, { "epoch": 10.53, "learning_rate": 0.00030833333333333337, "loss": 0.1684, "step": 1148 }, { "epoch": 10.54, "learning_rate": 0.0003080357142857143, "loss": 0.2143, "step": 1149 }, { "epoch": 10.55, "learning_rate": 0.00030773809523809524, "loss": 0.2053, "step": 1150 }, { "epoch": 10.56, "learning_rate": 0.00030744047619047624, "loss": 0.2502, "step": 1151 }, { "epoch": 10.57, "learning_rate": 0.0003071428571428572, "loss": 0.2436, "step": 1152 }, { "epoch": 10.58, "learning_rate": 0.0003068452380952381, "loss": 0.2388, "step": 1153 }, { "epoch": 10.59, "learning_rate": 0.00030654761904761905, "loss": 0.1775, "step": 1154 }, { "epoch": 10.6, "learning_rate": 0.00030625000000000004, "loss": 0.2329, "step": 1155 }, { "epoch": 10.61, "learning_rate": 0.000305952380952381, "loss": 0.2458, "step": 1156 }, { "epoch": 10.61, "learning_rate": 0.0003056547619047619, "loss": 0.2579, "step": 1157 }, { "epoch": 10.62, "learning_rate": 0.0003053571428571429, "loss": 0.2407, "step": 1158 }, { "epoch": 10.63, "learning_rate": 0.00030505952380952385, "loss": 0.1835, "step": 1159 }, { "epoch": 10.64, "learning_rate": 0.0003047619047619048, "loss": 0.2127, "step": 1160 }, { "epoch": 10.65, "learning_rate": 0.0003044642857142857, "loss": 0.2242, "step": 1161 }, { "epoch": 10.66, "learning_rate": 0.00030416666666666667, "loss": 0.2784, "step": 1162 }, { "epoch": 10.67, "learning_rate": 0.0003038690476190476, "loss": 0.1671, "step": 1163 }, { "epoch": 10.68, "learning_rate": 0.00030357142857142855, "loss": 0.2885, "step": 1164 }, { "epoch": 10.69, "learning_rate": 0.0003032738095238095, "loss": 0.3359, "step": 1165 }, { "epoch": 10.7, "learning_rate": 0.0003029761904761905, "loss": 0.1643, "step": 1166 }, { "epoch": 10.71, "learning_rate": 0.0003026785714285714, "loss": 0.1567, "step": 1167 }, { "epoch": 10.72, "learning_rate": 0.00030238095238095236, "loss": 0.2185, "step": 1168 }, { "epoch": 10.72, "learning_rate": 0.0003020833333333333, "loss": 0.1849, "step": 1169 }, { "epoch": 10.73, "learning_rate": 0.0003017857142857143, "loss": 0.173, "step": 1170 }, { "epoch": 10.74, "learning_rate": 0.0003014880952380952, "loss": 0.2386, "step": 1171 }, { "epoch": 10.75, "learning_rate": 0.00030119047619047616, "loss": 0.1614, "step": 1172 }, { "epoch": 10.76, "learning_rate": 0.00030089285714285716, "loss": 0.2094, "step": 1173 }, { "epoch": 10.77, "learning_rate": 0.0003005952380952381, "loss": 0.1395, "step": 1174 }, { "epoch": 10.78, "learning_rate": 0.00030029761904761904, "loss": 0.1441, "step": 1175 }, { "epoch": 10.79, "learning_rate": 0.0003, "loss": 0.2072, "step": 1176 }, { "epoch": 10.8, "learning_rate": 0.00029970238095238097, "loss": 0.1485, "step": 1177 }, { "epoch": 10.81, "learning_rate": 0.0002994047619047619, "loss": 0.2386, "step": 1178 }, { "epoch": 10.82, "learning_rate": 0.00029910714285714284, "loss": 0.1947, "step": 1179 }, { "epoch": 10.83, "learning_rate": 0.0002988095238095238, "loss": 0.1924, "step": 1180 }, { "epoch": 10.83, "learning_rate": 0.0002985119047619048, "loss": 0.1867, "step": 1181 }, { "epoch": 10.84, "learning_rate": 0.0002982142857142857, "loss": 0.1704, "step": 1182 }, { "epoch": 10.85, "learning_rate": 0.00029791666666666665, "loss": 0.3194, "step": 1183 }, { "epoch": 10.86, "learning_rate": 0.00029761904761904765, "loss": 0.2865, "step": 1184 }, { "epoch": 10.87, "learning_rate": 0.0002973214285714286, "loss": 0.2274, "step": 1185 }, { "epoch": 10.88, "learning_rate": 0.0002970238095238095, "loss": 0.193, "step": 1186 }, { "epoch": 10.89, "learning_rate": 0.00029672619047619046, "loss": 0.2034, "step": 1187 }, { "epoch": 10.9, "learning_rate": 0.00029642857142857145, "loss": 0.2145, "step": 1188 }, { "epoch": 10.91, "learning_rate": 0.0002961309523809524, "loss": 0.2647, "step": 1189 }, { "epoch": 10.92, "learning_rate": 0.00029583333333333333, "loss": 0.3336, "step": 1190 }, { "epoch": 10.93, "learning_rate": 0.00029553571428571427, "loss": 0.2042, "step": 1191 }, { "epoch": 10.94, "learning_rate": 0.00029523809523809526, "loss": 0.1762, "step": 1192 }, { "epoch": 10.94, "learning_rate": 0.0002949404761904762, "loss": 0.192, "step": 1193 }, { "epoch": 10.95, "learning_rate": 0.00029464285714285714, "loss": 0.1797, "step": 1194 }, { "epoch": 10.96, "learning_rate": 0.00029434523809523813, "loss": 0.2608, "step": 1195 }, { "epoch": 10.97, "learning_rate": 0.00029404761904761907, "loss": 0.2411, "step": 1196 }, { "epoch": 10.98, "learning_rate": 0.00029375, "loss": 0.2309, "step": 1197 }, { "epoch": 10.99, "learning_rate": 0.00029345238095238095, "loss": 0.1886, "step": 1198 }, { "epoch": 11.0, "learning_rate": 0.00029315476190476194, "loss": 0.1988, "step": 1199 }, { "epoch": 11.01, "learning_rate": 0.0002928571428571429, "loss": 0.1394, "step": 1200 }, { "epoch": 11.01, "eval_loss": 0.6863502264022827, "eval_runtime": 36.6212, "eval_samples_per_second": 44.974, "eval_steps_per_second": 2.813, "eval_wer": 0.19538504642971502, "step": 1200 }, { "epoch": 11.02, "learning_rate": 0.0002925595238095238, "loss": 0.1949, "step": 1201 }, { "epoch": 11.03, "learning_rate": 0.00029226190476190476, "loss": 0.1418, "step": 1202 }, { "epoch": 11.04, "learning_rate": 0.00029196428571428575, "loss": 0.1319, "step": 1203 }, { "epoch": 11.05, "learning_rate": 0.0002916666666666667, "loss": 0.1739, "step": 1204 }, { "epoch": 11.06, "learning_rate": 0.00029136904761904763, "loss": 0.1327, "step": 1205 }, { "epoch": 11.06, "learning_rate": 0.0002910714285714286, "loss": 0.1159, "step": 1206 }, { "epoch": 11.07, "learning_rate": 0.00029077380952380956, "loss": 0.152, "step": 1207 }, { "epoch": 11.08, "learning_rate": 0.0002904761904761905, "loss": 0.1804, "step": 1208 }, { "epoch": 11.09, "learning_rate": 0.00029017857142857144, "loss": 0.1072, "step": 1209 }, { "epoch": 11.1, "learning_rate": 0.00028988095238095243, "loss": 0.2076, "step": 1210 }, { "epoch": 11.11, "learning_rate": 0.00028958333333333337, "loss": 0.1438, "step": 1211 }, { "epoch": 11.12, "learning_rate": 0.0002892857142857143, "loss": 0.1612, "step": 1212 }, { "epoch": 11.13, "learning_rate": 0.0002889880952380952, "loss": 0.1654, "step": 1213 }, { "epoch": 11.14, "learning_rate": 0.0002886904761904762, "loss": 0.1786, "step": 1214 }, { "epoch": 11.15, "learning_rate": 0.0002883928571428571, "loss": 0.1734, "step": 1215 }, { "epoch": 11.16, "learning_rate": 0.00028809523809523806, "loss": 0.1682, "step": 1216 }, { "epoch": 11.17, "learning_rate": 0.00028779761904761906, "loss": 0.202, "step": 1217 }, { "epoch": 11.17, "learning_rate": 0.0002875, "loss": 0.1828, "step": 1218 }, { "epoch": 11.18, "learning_rate": 0.00028720238095238093, "loss": 0.1843, "step": 1219 }, { "epoch": 11.19, "learning_rate": 0.00028690476190476187, "loss": 0.2117, "step": 1220 }, { "epoch": 11.2, "learning_rate": 0.00028660714285714287, "loss": 0.2144, "step": 1221 }, { "epoch": 11.21, "learning_rate": 0.0002863095238095238, "loss": 0.1483, "step": 1222 }, { "epoch": 11.22, "learning_rate": 0.00028601190476190474, "loss": 0.1576, "step": 1223 }, { "epoch": 11.23, "learning_rate": 0.0002857142857142857, "loss": 0.2629, "step": 1224 }, { "epoch": 11.24, "learning_rate": 0.0002854166666666667, "loss": 0.1646, "step": 1225 }, { "epoch": 11.25, "learning_rate": 0.0002851190476190476, "loss": 0.217, "step": 1226 }, { "epoch": 11.26, "learning_rate": 0.00028482142857142855, "loss": 0.1987, "step": 1227 }, { "epoch": 11.27, "learning_rate": 0.00028452380952380954, "loss": 0.1668, "step": 1228 }, { "epoch": 11.28, "learning_rate": 0.0002842261904761905, "loss": 0.1597, "step": 1229 }, { "epoch": 11.28, "learning_rate": 0.0002839285714285714, "loss": 0.1058, "step": 1230 }, { "epoch": 11.29, "learning_rate": 0.00028363095238095236, "loss": 0.1551, "step": 1231 }, { "epoch": 11.3, "learning_rate": 0.00028333333333333335, "loss": 0.1942, "step": 1232 }, { "epoch": 11.31, "learning_rate": 0.0002830357142857143, "loss": 0.1844, "step": 1233 }, { "epoch": 11.32, "learning_rate": 0.00028273809523809523, "loss": 0.1627, "step": 1234 }, { "epoch": 11.33, "learning_rate": 0.00028244047619047617, "loss": 0.154, "step": 1235 }, { "epoch": 11.34, "learning_rate": 0.00028214285714285716, "loss": 0.1297, "step": 1236 }, { "epoch": 11.35, "learning_rate": 0.0002818452380952381, "loss": 0.2614, "step": 1237 }, { "epoch": 11.36, "learning_rate": 0.00028154761904761904, "loss": 0.2313, "step": 1238 }, { "epoch": 11.37, "learning_rate": 0.00028125000000000003, "loss": 0.1651, "step": 1239 }, { "epoch": 11.38, "learning_rate": 0.00028095238095238097, "loss": 0.1829, "step": 1240 }, { "epoch": 11.39, "learning_rate": 0.0002806547619047619, "loss": 0.2098, "step": 1241 }, { "epoch": 11.39, "learning_rate": 0.00028035714285714285, "loss": 0.1887, "step": 1242 }, { "epoch": 11.4, "learning_rate": 0.00028005952380952384, "loss": 0.2172, "step": 1243 }, { "epoch": 11.41, "learning_rate": 0.0002797619047619048, "loss": 0.2585, "step": 1244 }, { "epoch": 11.42, "learning_rate": 0.0002794642857142857, "loss": 0.1443, "step": 1245 }, { "epoch": 11.43, "learning_rate": 0.00027916666666666666, "loss": 0.1834, "step": 1246 }, { "epoch": 11.44, "learning_rate": 0.00027886904761904765, "loss": 0.2857, "step": 1247 }, { "epoch": 11.45, "learning_rate": 0.0002785714285714286, "loss": 0.2706, "step": 1248 }, { "epoch": 11.46, "learning_rate": 0.00027827380952380953, "loss": 0.2763, "step": 1249 }, { "epoch": 11.47, "learning_rate": 0.00027797619047619047, "loss": 0.1234, "step": 1250 }, { "epoch": 11.48, "learning_rate": 0.00027767857142857146, "loss": 0.1077, "step": 1251 }, { "epoch": 11.49, "learning_rate": 0.0002773809523809524, "loss": 0.1529, "step": 1252 }, { "epoch": 11.5, "learning_rate": 0.00027708333333333334, "loss": 0.1292, "step": 1253 }, { "epoch": 11.5, "learning_rate": 0.00027678571428571433, "loss": 0.1853, "step": 1254 }, { "epoch": 11.51, "learning_rate": 0.00027648809523809527, "loss": 0.1373, "step": 1255 }, { "epoch": 11.52, "learning_rate": 0.0002761904761904762, "loss": 0.1704, "step": 1256 }, { "epoch": 11.53, "learning_rate": 0.00027589285714285715, "loss": 0.1279, "step": 1257 }, { "epoch": 11.54, "learning_rate": 0.00027559523809523814, "loss": 0.1314, "step": 1258 }, { "epoch": 11.55, "learning_rate": 0.0002752976190476191, "loss": 0.1636, "step": 1259 }, { "epoch": 11.56, "learning_rate": 0.000275, "loss": 0.1882, "step": 1260 }, { "epoch": 11.57, "learning_rate": 0.00027470238095238096, "loss": 0.1263, "step": 1261 }, { "epoch": 11.58, "learning_rate": 0.00027440476190476195, "loss": 0.1763, "step": 1262 }, { "epoch": 11.59, "learning_rate": 0.0002741071428571429, "loss": 0.1508, "step": 1263 }, { "epoch": 11.6, "learning_rate": 0.0002738095238095238, "loss": 0.1695, "step": 1264 }, { "epoch": 11.61, "learning_rate": 0.0002735119047619048, "loss": 0.1285, "step": 1265 }, { "epoch": 11.61, "learning_rate": 0.0002732142857142857, "loss": 0.2407, "step": 1266 }, { "epoch": 11.62, "learning_rate": 0.00027291666666666664, "loss": 0.2114, "step": 1267 }, { "epoch": 11.63, "learning_rate": 0.0002726190476190476, "loss": 0.2901, "step": 1268 }, { "epoch": 11.64, "learning_rate": 0.0002723214285714286, "loss": 0.2208, "step": 1269 }, { "epoch": 11.65, "learning_rate": 0.0002720238095238095, "loss": 0.2494, "step": 1270 }, { "epoch": 11.66, "learning_rate": 0.00027172619047619045, "loss": 0.1735, "step": 1271 }, { "epoch": 11.67, "learning_rate": 0.0002714285714285714, "loss": 0.2889, "step": 1272 }, { "epoch": 11.68, "learning_rate": 0.0002711309523809524, "loss": 0.2026, "step": 1273 }, { "epoch": 11.69, "learning_rate": 0.0002708333333333333, "loss": 0.2269, "step": 1274 }, { "epoch": 11.7, "learning_rate": 0.00027053571428571426, "loss": 0.189, "step": 1275 }, { "epoch": 11.71, "learning_rate": 0.00027023809523809525, "loss": 0.1365, "step": 1276 }, { "epoch": 11.72, "learning_rate": 0.0002699404761904762, "loss": 0.1396, "step": 1277 }, { "epoch": 11.72, "learning_rate": 0.00026964285714285713, "loss": 0.1525, "step": 1278 }, { "epoch": 11.73, "learning_rate": 0.00026934523809523807, "loss": 0.1592, "step": 1279 }, { "epoch": 11.74, "learning_rate": 0.00026904761904761906, "loss": 0.1397, "step": 1280 }, { "epoch": 11.75, "learning_rate": 0.00026875, "loss": 0.1986, "step": 1281 }, { "epoch": 11.76, "learning_rate": 0.00026845238095238094, "loss": 0.2033, "step": 1282 }, { "epoch": 11.77, "learning_rate": 0.0002681547619047619, "loss": 0.1507, "step": 1283 }, { "epoch": 11.78, "learning_rate": 0.00026785714285714287, "loss": 0.1721, "step": 1284 }, { "epoch": 11.79, "learning_rate": 0.0002675595238095238, "loss": 0.1695, "step": 1285 }, { "epoch": 11.8, "learning_rate": 0.00026726190476190475, "loss": 0.103, "step": 1286 }, { "epoch": 11.81, "learning_rate": 0.00026696428571428574, "loss": 0.1791, "step": 1287 }, { "epoch": 11.82, "learning_rate": 0.0002666666666666667, "loss": 0.143, "step": 1288 }, { "epoch": 11.83, "learning_rate": 0.0002663690476190476, "loss": 0.2243, "step": 1289 }, { "epoch": 11.83, "learning_rate": 0.00026607142857142856, "loss": 0.2203, "step": 1290 }, { "epoch": 11.84, "learning_rate": 0.00026577380952380955, "loss": 0.1993, "step": 1291 }, { "epoch": 11.85, "learning_rate": 0.0002654761904761905, "loss": 0.1208, "step": 1292 }, { "epoch": 11.86, "learning_rate": 0.00026517857142857143, "loss": 0.2457, "step": 1293 }, { "epoch": 11.87, "learning_rate": 0.00026488095238095237, "loss": 0.1415, "step": 1294 }, { "epoch": 11.88, "learning_rate": 0.00026458333333333336, "loss": 0.1852, "step": 1295 }, { "epoch": 11.89, "learning_rate": 0.0002642857142857143, "loss": 0.2278, "step": 1296 }, { "epoch": 11.9, "learning_rate": 0.00026398809523809524, "loss": 0.2048, "step": 1297 }, { "epoch": 11.91, "learning_rate": 0.00026369047619047623, "loss": 0.2362, "step": 1298 }, { "epoch": 11.92, "learning_rate": 0.00026339285714285717, "loss": 0.2281, "step": 1299 }, { "epoch": 11.93, "learning_rate": 0.0002630952380952381, "loss": 0.1288, "step": 1300 }, { "epoch": 11.93, "eval_loss": 0.6695712208747864, "eval_runtime": 36.4005, "eval_samples_per_second": 45.247, "eval_steps_per_second": 2.83, "eval_wer": 0.20170909382004482, "step": 1300 }, { "epoch": 11.94, "learning_rate": 0.00026279761904761905, "loss": 0.14, "step": 1301 }, { "epoch": 11.94, "learning_rate": 0.00026250000000000004, "loss": 0.1574, "step": 1302 }, { "epoch": 11.95, "learning_rate": 0.000262202380952381, "loss": 0.1975, "step": 1303 }, { "epoch": 11.96, "learning_rate": 0.0002619047619047619, "loss": 0.2476, "step": 1304 }, { "epoch": 11.97, "learning_rate": 0.00026160714285714285, "loss": 0.1416, "step": 1305 }, { "epoch": 11.98, "learning_rate": 0.00026130952380952385, "loss": 0.1595, "step": 1306 }, { "epoch": 11.99, "learning_rate": 0.0002610119047619048, "loss": 0.1912, "step": 1307 }, { "epoch": 12.0, "learning_rate": 0.0002607142857142857, "loss": 0.2233, "step": 1308 }, { "epoch": 12.01, "learning_rate": 0.0002604166666666667, "loss": 0.1118, "step": 1309 }, { "epoch": 12.02, "learning_rate": 0.00026011904761904766, "loss": 0.1067, "step": 1310 }, { "epoch": 12.03, "learning_rate": 0.0002598214285714286, "loss": 0.115, "step": 1311 }, { "epoch": 12.04, "learning_rate": 0.00025952380952380953, "loss": 0.144, "step": 1312 }, { "epoch": 12.05, "learning_rate": 0.0002592261904761905, "loss": 0.1352, "step": 1313 }, { "epoch": 12.06, "learning_rate": 0.00025892857142857146, "loss": 0.1781, "step": 1314 }, { "epoch": 12.06, "learning_rate": 0.0002586309523809524, "loss": 0.1279, "step": 1315 }, { "epoch": 12.07, "learning_rate": 0.00025833333333333334, "loss": 0.1698, "step": 1316 }, { "epoch": 12.08, "learning_rate": 0.00025803571428571434, "loss": 0.1028, "step": 1317 }, { "epoch": 12.09, "learning_rate": 0.0002577380952380952, "loss": 0.0987, "step": 1318 }, { "epoch": 12.1, "learning_rate": 0.00025744047619047616, "loss": 0.1648, "step": 1319 }, { "epoch": 12.11, "learning_rate": 0.0002571428571428571, "loss": 0.1405, "step": 1320 }, { "epoch": 12.12, "learning_rate": 0.0002568452380952381, "loss": 0.1909, "step": 1321 }, { "epoch": 12.13, "learning_rate": 0.00025654761904761903, "loss": 0.1348, "step": 1322 }, { "epoch": 12.14, "learning_rate": 0.00025624999999999997, "loss": 0.1823, "step": 1323 }, { "epoch": 12.15, "learning_rate": 0.00025595238095238096, "loss": 0.193, "step": 1324 }, { "epoch": 12.16, "learning_rate": 0.0002556547619047619, "loss": 0.1911, "step": 1325 }, { "epoch": 12.17, "learning_rate": 0.00025535714285714284, "loss": 0.2173, "step": 1326 }, { "epoch": 12.17, "learning_rate": 0.0002550595238095238, "loss": 0.1886, "step": 1327 }, { "epoch": 12.18, "learning_rate": 0.00025476190476190477, "loss": 0.2151, "step": 1328 }, { "epoch": 12.19, "learning_rate": 0.0002544642857142857, "loss": 0.2166, "step": 1329 }, { "epoch": 12.2, "learning_rate": 0.00025416666666666665, "loss": 0.1235, "step": 1330 }, { "epoch": 12.21, "learning_rate": 0.0002538690476190476, "loss": 0.2091, "step": 1331 }, { "epoch": 12.22, "learning_rate": 0.0002535714285714286, "loss": 0.2178, "step": 1332 }, { "epoch": 12.23, "learning_rate": 0.0002532738095238095, "loss": 0.2451, "step": 1333 }, { "epoch": 12.24, "learning_rate": 0.00025297619047619046, "loss": 0.112, "step": 1334 }, { "epoch": 12.25, "learning_rate": 0.00025267857142857145, "loss": 0.1321, "step": 1335 }, { "epoch": 12.26, "learning_rate": 0.0002523809523809524, "loss": 0.1029, "step": 1336 }, { "epoch": 12.27, "learning_rate": 0.0002520833333333333, "loss": 0.1416, "step": 1337 }, { "epoch": 12.28, "learning_rate": 0.00025178571428571426, "loss": 0.1463, "step": 1338 }, { "epoch": 12.28, "learning_rate": 0.00025148809523809526, "loss": 0.1034, "step": 1339 }, { "epoch": 12.29, "learning_rate": 0.0002511904761904762, "loss": 0.1351, "step": 1340 }, { "epoch": 12.3, "learning_rate": 0.00025089285714285713, "loss": 0.1211, "step": 1341 }, { "epoch": 12.31, "learning_rate": 0.0002505952380952381, "loss": 0.1213, "step": 1342 }, { "epoch": 12.32, "learning_rate": 0.00025029761904761907, "loss": 0.1272, "step": 1343 }, { "epoch": 12.33, "learning_rate": 0.00025, "loss": 0.2052, "step": 1344 }, { "epoch": 12.34, "learning_rate": 0.00024970238095238094, "loss": 0.1208, "step": 1345 }, { "epoch": 12.35, "learning_rate": 0.00024940476190476194, "loss": 0.1054, "step": 1346 }, { "epoch": 12.36, "learning_rate": 0.0002491071428571429, "loss": 0.1703, "step": 1347 }, { "epoch": 12.37, "learning_rate": 0.0002488095238095238, "loss": 0.2391, "step": 1348 }, { "epoch": 12.38, "learning_rate": 0.00024851190476190475, "loss": 0.1497, "step": 1349 }, { "epoch": 12.39, "learning_rate": 0.00024821428571428575, "loss": 0.1565, "step": 1350 }, { "epoch": 12.39, "learning_rate": 0.0002479166666666667, "loss": 0.204, "step": 1351 }, { "epoch": 12.4, "learning_rate": 0.0002476190476190476, "loss": 0.2001, "step": 1352 }, { "epoch": 12.41, "learning_rate": 0.00024732142857142856, "loss": 0.2262, "step": 1353 }, { "epoch": 12.42, "learning_rate": 0.00024702380952380955, "loss": 0.1062, "step": 1354 }, { "epoch": 12.43, "learning_rate": 0.0002467261904761905, "loss": 0.2098, "step": 1355 }, { "epoch": 12.44, "learning_rate": 0.00024642857142857143, "loss": 0.151, "step": 1356 }, { "epoch": 12.45, "learning_rate": 0.0002461309523809524, "loss": 0.1836, "step": 1357 }, { "epoch": 12.46, "learning_rate": 0.0002458333333333333, "loss": 0.3832, "step": 1358 }, { "epoch": 12.47, "learning_rate": 0.0002455357142857143, "loss": 0.1313, "step": 1359 }, { "epoch": 12.48, "learning_rate": 0.00024523809523809524, "loss": 0.1036, "step": 1360 }, { "epoch": 12.49, "learning_rate": 0.0002449404761904762, "loss": 0.1144, "step": 1361 }, { "epoch": 12.5, "learning_rate": 0.0002446428571428571, "loss": 0.1801, "step": 1362 }, { "epoch": 12.5, "learning_rate": 0.0002443452380952381, "loss": 0.1363, "step": 1363 }, { "epoch": 12.51, "learning_rate": 0.00024404761904761905, "loss": 0.131, "step": 1364 }, { "epoch": 12.52, "learning_rate": 0.00024375, "loss": 0.1823, "step": 1365 }, { "epoch": 12.53, "learning_rate": 0.00024345238095238095, "loss": 0.1294, "step": 1366 }, { "epoch": 12.54, "learning_rate": 0.0002431547619047619, "loss": 0.1978, "step": 1367 }, { "epoch": 12.55, "learning_rate": 0.00024285714285714286, "loss": 0.163, "step": 1368 }, { "epoch": 12.56, "learning_rate": 0.00024255952380952382, "loss": 0.153, "step": 1369 }, { "epoch": 12.57, "learning_rate": 0.00024226190476190476, "loss": 0.113, "step": 1370 }, { "epoch": 12.58, "learning_rate": 0.00024196428571428573, "loss": 0.1363, "step": 1371 }, { "epoch": 12.59, "learning_rate": 0.00024166666666666667, "loss": 0.1721, "step": 1372 }, { "epoch": 12.6, "learning_rate": 0.00024136904761904763, "loss": 0.1712, "step": 1373 }, { "epoch": 12.61, "learning_rate": 0.00024107142857142857, "loss": 0.1585, "step": 1374 }, { "epoch": 12.61, "learning_rate": 0.00024077380952380954, "loss": 0.2059, "step": 1375 }, { "epoch": 12.62, "learning_rate": 0.00024047619047619048, "loss": 0.2307, "step": 1376 }, { "epoch": 12.63, "learning_rate": 0.00024017857142857144, "loss": 0.1444, "step": 1377 }, { "epoch": 12.64, "learning_rate": 0.00023988095238095238, "loss": 0.1862, "step": 1378 }, { "epoch": 12.65, "learning_rate": 0.00023958333333333335, "loss": 0.2154, "step": 1379 }, { "epoch": 12.66, "learning_rate": 0.0002392857142857143, "loss": 0.1591, "step": 1380 }, { "epoch": 12.67, "learning_rate": 0.00023898809523809525, "loss": 0.2057, "step": 1381 }, { "epoch": 12.68, "learning_rate": 0.00023869047619047622, "loss": 0.2325, "step": 1382 }, { "epoch": 12.69, "learning_rate": 0.00023839285714285716, "loss": 0.2616, "step": 1383 }, { "epoch": 12.7, "learning_rate": 0.0002380952380952381, "loss": 0.1244, "step": 1384 }, { "epoch": 12.71, "learning_rate": 0.00023779761904761903, "loss": 0.1533, "step": 1385 }, { "epoch": 12.72, "learning_rate": 0.0002375, "loss": 0.1774, "step": 1386 }, { "epoch": 12.72, "learning_rate": 0.00023720238095238094, "loss": 0.1178, "step": 1387 }, { "epoch": 12.73, "learning_rate": 0.0002369047619047619, "loss": 0.1291, "step": 1388 }, { "epoch": 12.74, "learning_rate": 0.00023660714285714284, "loss": 0.1371, "step": 1389 }, { "epoch": 12.75, "learning_rate": 0.0002363095238095238, "loss": 0.1334, "step": 1390 }, { "epoch": 12.76, "learning_rate": 0.00023601190476190477, "loss": 0.1364, "step": 1391 }, { "epoch": 12.77, "learning_rate": 0.0002357142857142857, "loss": 0.1195, "step": 1392 }, { "epoch": 12.78, "learning_rate": 0.00023541666666666668, "loss": 0.1139, "step": 1393 }, { "epoch": 12.79, "learning_rate": 0.00023511904761904762, "loss": 0.1623, "step": 1394 }, { "epoch": 12.8, "learning_rate": 0.00023482142857142858, "loss": 0.1182, "step": 1395 }, { "epoch": 12.81, "learning_rate": 0.00023452380952380952, "loss": 0.1153, "step": 1396 }, { "epoch": 12.82, "learning_rate": 0.0002342261904761905, "loss": 0.1796, "step": 1397 }, { "epoch": 12.83, "learning_rate": 0.00023392857142857143, "loss": 0.1492, "step": 1398 }, { "epoch": 12.83, "learning_rate": 0.0002336309523809524, "loss": 0.1594, "step": 1399 }, { "epoch": 12.84, "learning_rate": 0.00023333333333333333, "loss": 0.1568, "step": 1400 }, { "epoch": 12.84, "eval_loss": 0.6468299031257629, "eval_runtime": 36.6604, "eval_samples_per_second": 44.926, "eval_steps_per_second": 2.81, "eval_wer": 0.1842979506884406, "step": 1400 }, { "epoch": 12.85, "learning_rate": 0.0002330357142857143, "loss": 0.2115, "step": 1401 }, { "epoch": 12.86, "learning_rate": 0.00023273809523809524, "loss": 0.1733, "step": 1402 }, { "epoch": 12.87, "learning_rate": 0.0002324404761904762, "loss": 0.2107, "step": 1403 }, { "epoch": 12.88, "learning_rate": 0.00023214285714285717, "loss": 0.1567, "step": 1404 }, { "epoch": 12.89, "learning_rate": 0.0002318452380952381, "loss": 0.1368, "step": 1405 }, { "epoch": 12.9, "learning_rate": 0.00023154761904761907, "loss": 0.1364, "step": 1406 }, { "epoch": 12.91, "learning_rate": 0.00023125, "loss": 0.2124, "step": 1407 }, { "epoch": 12.92, "learning_rate": 0.00023095238095238098, "loss": 0.2395, "step": 1408 }, { "epoch": 12.93, "learning_rate": 0.00023065476190476191, "loss": 0.1024, "step": 1409 }, { "epoch": 12.94, "learning_rate": 0.00023035714285714285, "loss": 0.1436, "step": 1410 }, { "epoch": 12.94, "learning_rate": 0.0002300595238095238, "loss": 0.1906, "step": 1411 }, { "epoch": 12.95, "learning_rate": 0.00022976190476190476, "loss": 0.1522, "step": 1412 }, { "epoch": 12.96, "learning_rate": 0.0002294642857142857, "loss": 0.1353, "step": 1413 }, { "epoch": 12.97, "learning_rate": 0.00022916666666666666, "loss": 0.1127, "step": 1414 }, { "epoch": 12.98, "learning_rate": 0.00022886904761904763, "loss": 0.2034, "step": 1415 }, { "epoch": 12.99, "learning_rate": 0.00022857142857142857, "loss": 0.1715, "step": 1416 }, { "epoch": 13.0, "learning_rate": 0.00022827380952380953, "loss": 0.2118, "step": 1417 }, { "epoch": 13.01, "learning_rate": 0.00022797619047619047, "loss": 0.0937, "step": 1418 }, { "epoch": 13.02, "learning_rate": 0.00022767857142857144, "loss": 0.1018, "step": 1419 }, { "epoch": 13.03, "learning_rate": 0.00022738095238095238, "loss": 0.1135, "step": 1420 }, { "epoch": 13.04, "learning_rate": 0.00022708333333333334, "loss": 0.1267, "step": 1421 }, { "epoch": 13.05, "learning_rate": 0.00022678571428571428, "loss": 0.1508, "step": 1422 }, { "epoch": 13.06, "learning_rate": 0.00022648809523809525, "loss": 0.1363, "step": 1423 }, { "epoch": 13.06, "learning_rate": 0.00022619047619047618, "loss": 0.1145, "step": 1424 }, { "epoch": 13.07, "learning_rate": 0.00022589285714285715, "loss": 0.1299, "step": 1425 }, { "epoch": 13.08, "learning_rate": 0.00022559523809523812, "loss": 0.1418, "step": 1426 }, { "epoch": 13.09, "learning_rate": 0.00022529761904761906, "loss": 0.0964, "step": 1427 }, { "epoch": 13.1, "learning_rate": 0.00022500000000000002, "loss": 0.1454, "step": 1428 }, { "epoch": 13.11, "learning_rate": 0.00022470238095238096, "loss": 0.1608, "step": 1429 }, { "epoch": 13.12, "learning_rate": 0.00022440476190476193, "loss": 0.1438, "step": 1430 }, { "epoch": 13.13, "learning_rate": 0.00022410714285714286, "loss": 0.129, "step": 1431 }, { "epoch": 13.14, "learning_rate": 0.00022380952380952383, "loss": 0.0879, "step": 1432 }, { "epoch": 13.15, "learning_rate": 0.00022351190476190477, "loss": 0.1167, "step": 1433 }, { "epoch": 13.16, "learning_rate": 0.00022321428571428573, "loss": 0.1736, "step": 1434 }, { "epoch": 13.17, "learning_rate": 0.00022291666666666667, "loss": 0.0996, "step": 1435 }, { "epoch": 13.17, "learning_rate": 0.0002226190476190476, "loss": 0.1095, "step": 1436 }, { "epoch": 13.18, "learning_rate": 0.00022232142857142855, "loss": 0.1721, "step": 1437 }, { "epoch": 13.19, "learning_rate": 0.00022202380952380952, "loss": 0.175, "step": 1438 }, { "epoch": 13.2, "learning_rate": 0.00022172619047619048, "loss": 0.183, "step": 1439 }, { "epoch": 13.21, "learning_rate": 0.00022142857142857142, "loss": 0.1674, "step": 1440 }, { "epoch": 13.22, "learning_rate": 0.0002211309523809524, "loss": 0.2182, "step": 1441 }, { "epoch": 13.23, "learning_rate": 0.00022083333333333333, "loss": 0.1832, "step": 1442 }, { "epoch": 13.24, "learning_rate": 0.0002205357142857143, "loss": 0.1166, "step": 1443 }, { "epoch": 13.25, "learning_rate": 0.00022023809523809523, "loss": 0.1084, "step": 1444 }, { "epoch": 13.26, "learning_rate": 0.0002199404761904762, "loss": 0.1335, "step": 1445 }, { "epoch": 13.27, "learning_rate": 0.00021964285714285713, "loss": 0.1491, "step": 1446 }, { "epoch": 13.28, "learning_rate": 0.0002193452380952381, "loss": 0.1297, "step": 1447 }, { "epoch": 13.28, "learning_rate": 0.00021904761904761904, "loss": 0.1244, "step": 1448 }, { "epoch": 13.29, "learning_rate": 0.00021875, "loss": 0.1045, "step": 1449 }, { "epoch": 13.3, "learning_rate": 0.00021845238095238097, "loss": 0.0786, "step": 1450 }, { "epoch": 13.31, "learning_rate": 0.0002181547619047619, "loss": 0.1038, "step": 1451 }, { "epoch": 13.32, "learning_rate": 0.00021785714285714287, "loss": 0.1676, "step": 1452 }, { "epoch": 13.33, "learning_rate": 0.0002175595238095238, "loss": 0.1288, "step": 1453 }, { "epoch": 13.34, "learning_rate": 0.00021726190476190478, "loss": 0.1336, "step": 1454 }, { "epoch": 13.35, "learning_rate": 0.00021696428571428572, "loss": 0.11, "step": 1455 }, { "epoch": 13.36, "learning_rate": 0.00021666666666666668, "loss": 0.1587, "step": 1456 }, { "epoch": 13.37, "learning_rate": 0.00021636904761904762, "loss": 0.1601, "step": 1457 }, { "epoch": 13.38, "learning_rate": 0.0002160714285714286, "loss": 0.1811, "step": 1458 }, { "epoch": 13.39, "learning_rate": 0.00021577380952380953, "loss": 0.1386, "step": 1459 }, { "epoch": 13.39, "learning_rate": 0.0002154761904761905, "loss": 0.1419, "step": 1460 }, { "epoch": 13.4, "learning_rate": 0.00021517857142857146, "loss": 0.1536, "step": 1461 }, { "epoch": 13.41, "learning_rate": 0.0002148809523809524, "loss": 0.0938, "step": 1462 }, { "epoch": 13.42, "learning_rate": 0.00021458333333333334, "loss": 0.1763, "step": 1463 }, { "epoch": 13.43, "learning_rate": 0.00021428571428571427, "loss": 0.232, "step": 1464 }, { "epoch": 13.44, "learning_rate": 0.00021398809523809524, "loss": 0.1602, "step": 1465 }, { "epoch": 13.45, "learning_rate": 0.00021369047619047618, "loss": 0.2694, "step": 1466 }, { "epoch": 13.46, "learning_rate": 0.00021339285714285714, "loss": 0.2889, "step": 1467 }, { "epoch": 13.47, "learning_rate": 0.00021309523809523808, "loss": 0.0837, "step": 1468 }, { "epoch": 13.48, "learning_rate": 0.00021279761904761905, "loss": 0.126, "step": 1469 }, { "epoch": 13.49, "learning_rate": 0.0002125, "loss": 0.1299, "step": 1470 }, { "epoch": 13.5, "learning_rate": 0.00021220238095238095, "loss": 0.1365, "step": 1471 }, { "epoch": 13.5, "learning_rate": 0.0002119047619047619, "loss": 0.0967, "step": 1472 }, { "epoch": 13.51, "learning_rate": 0.00021160714285714286, "loss": 0.1193, "step": 1473 }, { "epoch": 13.52, "learning_rate": 0.00021130952380952382, "loss": 0.0853, "step": 1474 }, { "epoch": 13.53, "learning_rate": 0.00021101190476190476, "loss": 0.1248, "step": 1475 }, { "epoch": 13.54, "learning_rate": 0.00021071428571428573, "loss": 0.1366, "step": 1476 }, { "epoch": 13.55, "learning_rate": 0.00021041666666666667, "loss": 0.1377, "step": 1477 }, { "epoch": 13.56, "learning_rate": 0.00021011904761904763, "loss": 0.1385, "step": 1478 }, { "epoch": 13.57, "learning_rate": 0.00020982142857142857, "loss": 0.1632, "step": 1479 }, { "epoch": 13.58, "learning_rate": 0.00020952380952380954, "loss": 0.157, "step": 1480 }, { "epoch": 13.59, "learning_rate": 0.00020922619047619048, "loss": 0.1555, "step": 1481 }, { "epoch": 13.6, "learning_rate": 0.00020892857142857144, "loss": 0.1179, "step": 1482 }, { "epoch": 13.61, "learning_rate": 0.00020863095238095238, "loss": 0.1182, "step": 1483 }, { "epoch": 13.61, "learning_rate": 0.00020833333333333335, "loss": 0.1812, "step": 1484 }, { "epoch": 13.62, "learning_rate": 0.0002080357142857143, "loss": 0.2239, "step": 1485 }, { "epoch": 13.63, "learning_rate": 0.00020773809523809525, "loss": 0.1251, "step": 1486 }, { "epoch": 13.64, "learning_rate": 0.00020744047619047622, "loss": 0.1767, "step": 1487 }, { "epoch": 13.65, "learning_rate": 0.00020714285714285716, "loss": 0.1284, "step": 1488 }, { "epoch": 13.66, "learning_rate": 0.0002068452380952381, "loss": 0.1663, "step": 1489 }, { "epoch": 13.67, "learning_rate": 0.00020654761904761903, "loss": 0.1667, "step": 1490 }, { "epoch": 13.68, "learning_rate": 0.00020625, "loss": 0.1841, "step": 1491 }, { "epoch": 13.69, "learning_rate": 0.00020595238095238094, "loss": 0.2747, "step": 1492 }, { "epoch": 13.7, "learning_rate": 0.0002056547619047619, "loss": 0.115, "step": 1493 }, { "epoch": 13.71, "learning_rate": 0.00020535714285714284, "loss": 0.1718, "step": 1494 }, { "epoch": 13.72, "learning_rate": 0.0002050595238095238, "loss": 0.1571, "step": 1495 }, { "epoch": 13.72, "learning_rate": 0.00020476190476190477, "loss": 0.1371, "step": 1496 }, { "epoch": 13.73, "learning_rate": 0.0002044642857142857, "loss": 0.0953, "step": 1497 }, { "epoch": 13.74, "learning_rate": 0.00020416666666666668, "loss": 0.1224, "step": 1498 }, { "epoch": 13.75, "learning_rate": 0.00020386904761904762, "loss": 0.114, "step": 1499 }, { "epoch": 13.76, "learning_rate": 0.00020357142857142858, "loss": 0.1269, "step": 1500 }, { "epoch": 13.76, "eval_loss": 0.673614501953125, "eval_runtime": 36.7343, "eval_samples_per_second": 44.835, "eval_steps_per_second": 2.804, "eval_wer": 0.1965457893051553, "step": 1500 }, { "epoch": 13.77, "learning_rate": 0.00020327380952380952, "loss": 0.1228, "step": 1501 }, { "epoch": 13.78, "learning_rate": 0.0002029761904761905, "loss": 0.1247, "step": 1502 }, { "epoch": 13.79, "learning_rate": 0.00020267857142857143, "loss": 0.151, "step": 1503 }, { "epoch": 13.8, "learning_rate": 0.0002023809523809524, "loss": 0.1346, "step": 1504 }, { "epoch": 13.81, "learning_rate": 0.00020208333333333333, "loss": 0.1368, "step": 1505 }, { "epoch": 13.82, "learning_rate": 0.0002017857142857143, "loss": 0.1749, "step": 1506 }, { "epoch": 13.83, "learning_rate": 0.00020148809523809523, "loss": 0.1633, "step": 1507 }, { "epoch": 13.83, "learning_rate": 0.0002011904761904762, "loss": 0.1752, "step": 1508 }, { "epoch": 13.84, "learning_rate": 0.00020089285714285717, "loss": 0.1149, "step": 1509 }, { "epoch": 13.85, "learning_rate": 0.0002005952380952381, "loss": 0.2126, "step": 1510 }, { "epoch": 13.86, "learning_rate": 0.00020029761904761907, "loss": 0.1729, "step": 1511 }, { "epoch": 13.87, "learning_rate": 0.0002, "loss": 0.1919, "step": 1512 }, { "epoch": 13.88, "learning_rate": 0.00019970238095238098, "loss": 0.1953, "step": 1513 }, { "epoch": 13.89, "learning_rate": 0.00019940476190476191, "loss": 0.1007, "step": 1514 }, { "epoch": 13.9, "learning_rate": 0.00019910714285714285, "loss": 0.1579, "step": 1515 }, { "epoch": 13.91, "learning_rate": 0.0001988095238095238, "loss": 0.2561, "step": 1516 }, { "epoch": 13.92, "learning_rate": 0.00019851190476190476, "loss": 0.1974, "step": 1517 }, { "epoch": 13.93, "learning_rate": 0.0001982142857142857, "loss": 0.091, "step": 1518 }, { "epoch": 13.94, "learning_rate": 0.00019791666666666666, "loss": 0.129, "step": 1519 }, { "epoch": 13.94, "learning_rate": 0.00019761904761904763, "loss": 0.0888, "step": 1520 }, { "epoch": 13.95, "learning_rate": 0.00019732142857142857, "loss": 0.0606, "step": 1521 }, { "epoch": 13.96, "learning_rate": 0.00019702380952380953, "loss": 0.1118, "step": 1522 }, { "epoch": 13.97, "learning_rate": 0.00019672619047619047, "loss": 0.102, "step": 1523 }, { "epoch": 13.98, "learning_rate": 0.00019642857142857144, "loss": 0.1546, "step": 1524 }, { "epoch": 13.99, "learning_rate": 0.00019613095238095238, "loss": 0.152, "step": 1525 }, { "epoch": 14.0, "learning_rate": 0.00019583333333333334, "loss": 0.1793, "step": 1526 }, { "epoch": 14.01, "learning_rate": 0.00019553571428571428, "loss": 0.1228, "step": 1527 }, { "epoch": 14.02, "learning_rate": 0.00019523809523809525, "loss": 0.1196, "step": 1528 }, { "epoch": 14.03, "learning_rate": 0.00019494047619047618, "loss": 0.069, "step": 1529 }, { "epoch": 14.04, "learning_rate": 0.00019464285714285715, "loss": 0.1271, "step": 1530 }, { "epoch": 14.05, "learning_rate": 0.00019434523809523812, "loss": 0.14, "step": 1531 }, { "epoch": 14.06, "learning_rate": 0.00019404761904761905, "loss": 0.1332, "step": 1532 }, { "epoch": 14.06, "learning_rate": 0.00019375000000000002, "loss": 0.125, "step": 1533 }, { "epoch": 14.07, "learning_rate": 0.00019345238095238096, "loss": 0.1207, "step": 1534 }, { "epoch": 14.08, "learning_rate": 0.00019315476190476192, "loss": 0.1329, "step": 1535 }, { "epoch": 14.09, "learning_rate": 0.00019285714285714286, "loss": 0.1237, "step": 1536 }, { "epoch": 14.1, "learning_rate": 0.00019255952380952383, "loss": 0.1078, "step": 1537 }, { "epoch": 14.11, "learning_rate": 0.00019226190476190477, "loss": 0.1049, "step": 1538 }, { "epoch": 14.12, "learning_rate": 0.00019196428571428573, "loss": 0.1286, "step": 1539 }, { "epoch": 14.13, "learning_rate": 0.00019166666666666667, "loss": 0.1353, "step": 1540 }, { "epoch": 14.14, "learning_rate": 0.0001913690476190476, "loss": 0.0915, "step": 1541 }, { "epoch": 14.15, "learning_rate": 0.00019107142857142855, "loss": 0.1373, "step": 1542 }, { "epoch": 14.16, "learning_rate": 0.00019077380952380952, "loss": 0.1359, "step": 1543 }, { "epoch": 14.17, "learning_rate": 0.00019047619047619048, "loss": 0.17, "step": 1544 }, { "epoch": 14.17, "learning_rate": 0.00019017857142857142, "loss": 0.1758, "step": 1545 }, { "epoch": 14.18, "learning_rate": 0.00018988095238095239, "loss": 0.2215, "step": 1546 }, { "epoch": 14.19, "learning_rate": 0.00018958333333333332, "loss": 0.1304, "step": 1547 }, { "epoch": 14.2, "learning_rate": 0.0001892857142857143, "loss": 0.1621, "step": 1548 }, { "epoch": 14.21, "learning_rate": 0.00018898809523809523, "loss": 0.1197, "step": 1549 }, { "epoch": 14.22, "learning_rate": 0.0001886904761904762, "loss": 0.137, "step": 1550 }, { "epoch": 14.23, "learning_rate": 0.00018839285714285713, "loss": 0.2186, "step": 1551 }, { "epoch": 14.24, "learning_rate": 0.0001880952380952381, "loss": 0.0905, "step": 1552 }, { "epoch": 14.25, "learning_rate": 0.00018779761904761904, "loss": 0.0568, "step": 1553 }, { "epoch": 14.26, "learning_rate": 0.0001875, "loss": 0.1072, "step": 1554 }, { "epoch": 14.27, "learning_rate": 0.00018720238095238097, "loss": 0.1276, "step": 1555 }, { "epoch": 14.28, "learning_rate": 0.0001869047619047619, "loss": 0.0774, "step": 1556 }, { "epoch": 14.28, "learning_rate": 0.00018660714285714287, "loss": 0.1033, "step": 1557 }, { "epoch": 14.29, "learning_rate": 0.0001863095238095238, "loss": 0.1196, "step": 1558 }, { "epoch": 14.3, "learning_rate": 0.00018601190476190478, "loss": 0.098, "step": 1559 }, { "epoch": 14.31, "learning_rate": 0.00018571428571428572, "loss": 0.0992, "step": 1560 }, { "epoch": 14.32, "learning_rate": 0.00018541666666666668, "loss": 0.1902, "step": 1561 }, { "epoch": 14.33, "learning_rate": 0.00018511904761904762, "loss": 0.1159, "step": 1562 }, { "epoch": 14.34, "learning_rate": 0.0001848214285714286, "loss": 0.1246, "step": 1563 }, { "epoch": 14.35, "learning_rate": 0.00018452380952380953, "loss": 0.0791, "step": 1564 }, { "epoch": 14.36, "learning_rate": 0.0001842261904761905, "loss": 0.1391, "step": 1565 }, { "epoch": 14.37, "learning_rate": 0.00018392857142857146, "loss": 0.1708, "step": 1566 }, { "epoch": 14.38, "learning_rate": 0.0001836309523809524, "loss": 0.1009, "step": 1567 }, { "epoch": 14.39, "learning_rate": 0.00018333333333333334, "loss": 0.117, "step": 1568 }, { "epoch": 14.39, "learning_rate": 0.00018303571428571427, "loss": 0.0986, "step": 1569 }, { "epoch": 14.4, "learning_rate": 0.00018273809523809524, "loss": 0.1158, "step": 1570 }, { "epoch": 14.41, "learning_rate": 0.00018244047619047618, "loss": 0.1628, "step": 1571 }, { "epoch": 14.42, "learning_rate": 0.00018214285714285714, "loss": 0.1329, "step": 1572 }, { "epoch": 14.43, "learning_rate": 0.00018184523809523808, "loss": 0.0917, "step": 1573 }, { "epoch": 14.44, "learning_rate": 0.00018154761904761905, "loss": 0.1559, "step": 1574 }, { "epoch": 14.45, "learning_rate": 0.00018125, "loss": 0.1625, "step": 1575 }, { "epoch": 14.46, "learning_rate": 0.00018095238095238095, "loss": 0.2786, "step": 1576 }, { "epoch": 14.47, "learning_rate": 0.0001806547619047619, "loss": 0.1004, "step": 1577 }, { "epoch": 14.48, "learning_rate": 0.00018035714285714286, "loss": 0.1035, "step": 1578 }, { "epoch": 14.49, "learning_rate": 0.00018005952380952382, "loss": 0.1154, "step": 1579 }, { "epoch": 14.5, "learning_rate": 0.00017976190476190476, "loss": 0.1125, "step": 1580 }, { "epoch": 14.5, "learning_rate": 0.00017946428571428573, "loss": 0.1166, "step": 1581 }, { "epoch": 14.51, "learning_rate": 0.00017916666666666667, "loss": 0.0739, "step": 1582 }, { "epoch": 14.52, "learning_rate": 0.00017886904761904763, "loss": 0.0833, "step": 1583 }, { "epoch": 14.53, "learning_rate": 0.00017857142857142857, "loss": 0.0757, "step": 1584 }, { "epoch": 14.54, "learning_rate": 0.00017827380952380954, "loss": 0.0681, "step": 1585 }, { "epoch": 14.55, "learning_rate": 0.00017797619047619048, "loss": 0.128, "step": 1586 }, { "epoch": 14.56, "learning_rate": 0.00017767857142857144, "loss": 0.1038, "step": 1587 }, { "epoch": 14.57, "learning_rate": 0.00017738095238095238, "loss": 0.1885, "step": 1588 }, { "epoch": 14.58, "learning_rate": 0.00017708333333333335, "loss": 0.1078, "step": 1589 }, { "epoch": 14.59, "learning_rate": 0.0001767857142857143, "loss": 0.139, "step": 1590 }, { "epoch": 14.6, "learning_rate": 0.00017648809523809525, "loss": 0.1435, "step": 1591 }, { "epoch": 14.61, "learning_rate": 0.00017619047619047622, "loss": 0.1215, "step": 1592 }, { "epoch": 14.61, "learning_rate": 0.00017589285714285716, "loss": 0.1369, "step": 1593 }, { "epoch": 14.62, "learning_rate": 0.0001755952380952381, "loss": 0.1147, "step": 1594 }, { "epoch": 14.63, "learning_rate": 0.00017529761904761903, "loss": 0.1293, "step": 1595 }, { "epoch": 14.64, "learning_rate": 0.000175, "loss": 0.1992, "step": 1596 }, { "epoch": 14.65, "learning_rate": 0.00017470238095238094, "loss": 0.1596, "step": 1597 }, { "epoch": 14.66, "learning_rate": 0.0001744047619047619, "loss": 0.113, "step": 1598 }, { "epoch": 14.67, "learning_rate": 0.00017410714285714284, "loss": 0.1502, "step": 1599 }, { "epoch": 14.68, "learning_rate": 0.0001738095238095238, "loss": 0.1101, "step": 1600 }, { "epoch": 14.68, "eval_loss": 0.6688647270202637, "eval_runtime": 36.549, "eval_samples_per_second": 45.063, "eval_steps_per_second": 2.818, "eval_wer": 0.19150256163944926, "step": 1600 }, { "epoch": 14.69, "learning_rate": 0.00017351190476190477, "loss": 0.2092, "step": 1601 }, { "epoch": 14.7, "learning_rate": 0.0001732142857142857, "loss": 0.1306, "step": 1602 }, { "epoch": 14.71, "learning_rate": 0.00017291666666666668, "loss": 0.1139, "step": 1603 }, { "epoch": 14.72, "learning_rate": 0.00017261904761904762, "loss": 0.0936, "step": 1604 }, { "epoch": 14.72, "learning_rate": 0.00017232142857142858, "loss": 0.0998, "step": 1605 }, { "epoch": 14.73, "learning_rate": 0.00017202380952380952, "loss": 0.1037, "step": 1606 }, { "epoch": 14.74, "learning_rate": 0.0001717261904761905, "loss": 0.1007, "step": 1607 }, { "epoch": 14.75, "learning_rate": 0.00017142857142857143, "loss": 0.1396, "step": 1608 }, { "epoch": 14.76, "learning_rate": 0.0001711309523809524, "loss": 0.118, "step": 1609 }, { "epoch": 14.77, "learning_rate": 0.00017083333333333333, "loss": 0.1365, "step": 1610 }, { "epoch": 14.78, "learning_rate": 0.0001705357142857143, "loss": 0.1289, "step": 1611 }, { "epoch": 14.79, "learning_rate": 0.00017023809523809523, "loss": 0.1594, "step": 1612 }, { "epoch": 14.8, "learning_rate": 0.0001699404761904762, "loss": 0.1334, "step": 1613 }, { "epoch": 14.81, "learning_rate": 0.00016964285714285717, "loss": 0.1756, "step": 1614 }, { "epoch": 14.82, "learning_rate": 0.0001693452380952381, "loss": 0.1599, "step": 1615 }, { "epoch": 14.83, "learning_rate": 0.00016904761904761907, "loss": 0.1237, "step": 1616 }, { "epoch": 14.83, "learning_rate": 0.00016875, "loss": 0.1413, "step": 1617 }, { "epoch": 14.84, "learning_rate": 0.00016845238095238097, "loss": 0.1499, "step": 1618 }, { "epoch": 14.85, "learning_rate": 0.0001681547619047619, "loss": 0.1337, "step": 1619 }, { "epoch": 14.86, "learning_rate": 0.00016785714285714285, "loss": 0.1375, "step": 1620 }, { "epoch": 14.87, "learning_rate": 0.0001675595238095238, "loss": 0.1279, "step": 1621 }, { "epoch": 14.88, "learning_rate": 0.00016726190476190476, "loss": 0.1517, "step": 1622 }, { "epoch": 14.89, "learning_rate": 0.0001669642857142857, "loss": 0.1419, "step": 1623 }, { "epoch": 14.9, "learning_rate": 0.00016666666666666666, "loss": 0.1906, "step": 1624 }, { "epoch": 14.91, "learning_rate": 0.00016636904761904763, "loss": 0.1064, "step": 1625 }, { "epoch": 14.92, "learning_rate": 0.00016607142857142857, "loss": 0.1322, "step": 1626 }, { "epoch": 14.93, "learning_rate": 0.00016577380952380953, "loss": 0.0819, "step": 1627 }, { "epoch": 14.94, "learning_rate": 0.00016547619047619047, "loss": 0.1126, "step": 1628 }, { "epoch": 14.94, "learning_rate": 0.00016517857142857144, "loss": 0.0938, "step": 1629 }, { "epoch": 14.95, "learning_rate": 0.00016488095238095237, "loss": 0.0992, "step": 1630 }, { "epoch": 14.96, "learning_rate": 0.00016458333333333334, "loss": 0.1247, "step": 1631 }, { "epoch": 14.97, "learning_rate": 0.00016428571428571428, "loss": 0.1414, "step": 1632 }, { "epoch": 14.98, "learning_rate": 0.00016398809523809524, "loss": 0.1601, "step": 1633 }, { "epoch": 14.99, "learning_rate": 0.00016369047619047618, "loss": 0.1517, "step": 1634 }, { "epoch": 15.0, "learning_rate": 0.00016339285714285715, "loss": 0.1709, "step": 1635 }, { "epoch": 15.01, "learning_rate": 0.00016309523809523812, "loss": 0.0885, "step": 1636 }, { "epoch": 15.02, "learning_rate": 0.00016279761904761905, "loss": 0.1446, "step": 1637 }, { "epoch": 15.03, "learning_rate": 0.00016250000000000002, "loss": 0.1007, "step": 1638 }, { "epoch": 15.04, "learning_rate": 0.00016220238095238096, "loss": 0.1018, "step": 1639 }, { "epoch": 15.05, "learning_rate": 0.00016190476190476192, "loss": 0.1171, "step": 1640 }, { "epoch": 15.06, "learning_rate": 0.00016160714285714286, "loss": 0.1211, "step": 1641 }, { "epoch": 15.06, "learning_rate": 0.00016130952380952383, "loss": 0.1413, "step": 1642 }, { "epoch": 15.07, "learning_rate": 0.00016101190476190477, "loss": 0.0957, "step": 1643 }, { "epoch": 15.08, "learning_rate": 0.00016071428571428573, "loss": 0.0991, "step": 1644 }, { "epoch": 15.09, "learning_rate": 0.00016041666666666667, "loss": 0.1057, "step": 1645 }, { "epoch": 15.1, "learning_rate": 0.0001601190476190476, "loss": 0.1226, "step": 1646 }, { "epoch": 15.11, "learning_rate": 0.00015982142857142855, "loss": 0.1054, "step": 1647 }, { "epoch": 15.12, "learning_rate": 0.00015952380952380951, "loss": 0.0746, "step": 1648 }, { "epoch": 15.13, "learning_rate": 0.00015922619047619048, "loss": 0.1715, "step": 1649 }, { "epoch": 15.14, "learning_rate": 0.00015892857142857142, "loss": 0.1269, "step": 1650 }, { "epoch": 15.15, "learning_rate": 0.00015863095238095239, "loss": 0.1494, "step": 1651 }, { "epoch": 15.16, "learning_rate": 0.00015833333333333332, "loss": 0.0959, "step": 1652 }, { "epoch": 15.17, "learning_rate": 0.0001580357142857143, "loss": 0.089, "step": 1653 }, { "epoch": 15.17, "learning_rate": 0.00015773809523809523, "loss": 0.1809, "step": 1654 }, { "epoch": 15.18, "learning_rate": 0.0001574404761904762, "loss": 0.1713, "step": 1655 }, { "epoch": 15.19, "learning_rate": 0.00015714285714285713, "loss": 0.0911, "step": 1656 }, { "epoch": 15.2, "learning_rate": 0.0001568452380952381, "loss": 0.1865, "step": 1657 }, { "epoch": 15.21, "learning_rate": 0.00015654761904761904, "loss": 0.1093, "step": 1658 }, { "epoch": 15.22, "learning_rate": 0.00015625, "loss": 0.108, "step": 1659 }, { "epoch": 15.23, "learning_rate": 0.00015595238095238097, "loss": 0.279, "step": 1660 }, { "epoch": 15.24, "learning_rate": 0.0001556547619047619, "loss": 0.062, "step": 1661 }, { "epoch": 15.25, "learning_rate": 0.00015535714285714287, "loss": 0.0691, "step": 1662 }, { "epoch": 15.26, "learning_rate": 0.0001550595238095238, "loss": 0.1567, "step": 1663 }, { "epoch": 15.27, "learning_rate": 0.00015476190476190478, "loss": 0.0955, "step": 1664 }, { "epoch": 15.28, "learning_rate": 0.00015446428571428572, "loss": 0.0718, "step": 1665 }, { "epoch": 15.28, "learning_rate": 0.00015416666666666668, "loss": 0.1116, "step": 1666 }, { "epoch": 15.29, "learning_rate": 0.00015386904761904762, "loss": 0.0813, "step": 1667 }, { "epoch": 15.3, "learning_rate": 0.0001535714285714286, "loss": 0.1078, "step": 1668 }, { "epoch": 15.31, "learning_rate": 0.00015327380952380953, "loss": 0.1098, "step": 1669 }, { "epoch": 15.32, "learning_rate": 0.0001529761904761905, "loss": 0.0802, "step": 1670 }, { "epoch": 15.33, "learning_rate": 0.00015267857142857146, "loss": 0.1187, "step": 1671 }, { "epoch": 15.34, "learning_rate": 0.0001523809523809524, "loss": 0.0898, "step": 1672 }, { "epoch": 15.35, "learning_rate": 0.00015208333333333333, "loss": 0.1225, "step": 1673 }, { "epoch": 15.36, "learning_rate": 0.00015178571428571427, "loss": 0.1324, "step": 1674 }, { "epoch": 15.37, "learning_rate": 0.00015148809523809524, "loss": 0.1091, "step": 1675 }, { "epoch": 15.38, "learning_rate": 0.00015119047619047618, "loss": 0.1412, "step": 1676 }, { "epoch": 15.39, "learning_rate": 0.00015089285714285714, "loss": 0.1368, "step": 1677 }, { "epoch": 15.39, "learning_rate": 0.00015059523809523808, "loss": 0.0599, "step": 1678 }, { "epoch": 15.4, "learning_rate": 0.00015029761904761905, "loss": 0.1246, "step": 1679 }, { "epoch": 15.41, "learning_rate": 0.00015, "loss": 0.0989, "step": 1680 }, { "epoch": 15.42, "learning_rate": 0.00014970238095238095, "loss": 0.1071, "step": 1681 }, { "epoch": 15.43, "learning_rate": 0.0001494047619047619, "loss": 0.1598, "step": 1682 }, { "epoch": 15.44, "learning_rate": 0.00014910714285714286, "loss": 0.1463, "step": 1683 }, { "epoch": 15.45, "learning_rate": 0.00014880952380952382, "loss": 0.1487, "step": 1684 }, { "epoch": 15.46, "learning_rate": 0.00014851190476190476, "loss": 0.1055, "step": 1685 }, { "epoch": 15.47, "learning_rate": 0.00014821428571428573, "loss": 0.0822, "step": 1686 }, { "epoch": 15.48, "learning_rate": 0.00014791666666666667, "loss": 0.1216, "step": 1687 }, { "epoch": 15.49, "learning_rate": 0.00014761904761904763, "loss": 0.0489, "step": 1688 }, { "epoch": 15.5, "learning_rate": 0.00014732142857142857, "loss": 0.0922, "step": 1689 }, { "epoch": 15.5, "learning_rate": 0.00014702380952380954, "loss": 0.0532, "step": 1690 }, { "epoch": 15.51, "learning_rate": 0.00014672619047619048, "loss": 0.0787, "step": 1691 }, { "epoch": 15.52, "learning_rate": 0.00014642857142857144, "loss": 0.1188, "step": 1692 }, { "epoch": 15.53, "learning_rate": 0.00014613095238095238, "loss": 0.0916, "step": 1693 }, { "epoch": 15.54, "learning_rate": 0.00014583333333333335, "loss": 0.1027, "step": 1694 }, { "epoch": 15.55, "learning_rate": 0.0001455357142857143, "loss": 0.088, "step": 1695 }, { "epoch": 15.56, "learning_rate": 0.00014523809523809525, "loss": 0.0986, "step": 1696 }, { "epoch": 15.57, "learning_rate": 0.00014494047619047622, "loss": 0.0915, "step": 1697 }, { "epoch": 15.58, "learning_rate": 0.00014464285714285715, "loss": 0.1159, "step": 1698 }, { "epoch": 15.59, "learning_rate": 0.0001443452380952381, "loss": 0.1902, "step": 1699 }, { "epoch": 15.6, "learning_rate": 0.00014404761904761903, "loss": 0.1388, "step": 1700 }, { "epoch": 15.6, "eval_loss": 0.6690436005592346, "eval_runtime": 36.8379, "eval_samples_per_second": 44.709, "eval_steps_per_second": 2.796, "eval_wer": 0.178234069804675, "step": 1700 }, { "epoch": 15.61, "learning_rate": 0.00014375, "loss": 0.0945, "step": 1701 }, { "epoch": 15.61, "learning_rate": 0.00014345238095238094, "loss": 0.1124, "step": 1702 }, { "epoch": 15.62, "learning_rate": 0.0001431547619047619, "loss": 0.1366, "step": 1703 }, { "epoch": 15.63, "learning_rate": 0.00014285714285714284, "loss": 0.0965, "step": 1704 }, { "epoch": 15.64, "learning_rate": 0.0001425595238095238, "loss": 0.1108, "step": 1705 }, { "epoch": 15.65, "learning_rate": 0.00014226190476190477, "loss": 0.117, "step": 1706 }, { "epoch": 15.66, "learning_rate": 0.0001419642857142857, "loss": 0.1422, "step": 1707 }, { "epoch": 15.67, "learning_rate": 0.00014166666666666668, "loss": 0.1125, "step": 1708 }, { "epoch": 15.68, "learning_rate": 0.00014136904761904762, "loss": 0.2592, "step": 1709 }, { "epoch": 15.69, "learning_rate": 0.00014107142857142858, "loss": 0.156, "step": 1710 }, { "epoch": 15.7, "learning_rate": 0.00014077380952380952, "loss": 0.0956, "step": 1711 }, { "epoch": 15.71, "learning_rate": 0.00014047619047619049, "loss": 0.09, "step": 1712 }, { "epoch": 15.72, "learning_rate": 0.00014017857142857142, "loss": 0.0994, "step": 1713 }, { "epoch": 15.72, "learning_rate": 0.0001398809523809524, "loss": 0.0763, "step": 1714 }, { "epoch": 15.73, "learning_rate": 0.00013958333333333333, "loss": 0.0863, "step": 1715 }, { "epoch": 15.74, "learning_rate": 0.0001392857142857143, "loss": 0.0928, "step": 1716 }, { "epoch": 15.75, "learning_rate": 0.00013898809523809523, "loss": 0.0654, "step": 1717 }, { "epoch": 15.76, "learning_rate": 0.0001386904761904762, "loss": 0.1179, "step": 1718 }, { "epoch": 15.77, "learning_rate": 0.00013839285714285717, "loss": 0.0994, "step": 1719 }, { "epoch": 15.78, "learning_rate": 0.0001380952380952381, "loss": 0.1124, "step": 1720 }, { "epoch": 15.79, "learning_rate": 0.00013779761904761907, "loss": 0.0884, "step": 1721 }, { "epoch": 15.8, "learning_rate": 0.0001375, "loss": 0.1646, "step": 1722 }, { "epoch": 15.81, "learning_rate": 0.00013720238095238097, "loss": 0.0793, "step": 1723 }, { "epoch": 15.82, "learning_rate": 0.0001369047619047619, "loss": 0.1362, "step": 1724 }, { "epoch": 15.83, "learning_rate": 0.00013660714285714285, "loss": 0.0705, "step": 1725 }, { "epoch": 15.83, "learning_rate": 0.0001363095238095238, "loss": 0.1266, "step": 1726 }, { "epoch": 15.84, "learning_rate": 0.00013601190476190476, "loss": 0.1071, "step": 1727 }, { "epoch": 15.85, "learning_rate": 0.0001357142857142857, "loss": 0.1134, "step": 1728 }, { "epoch": 15.86, "learning_rate": 0.00013541666666666666, "loss": 0.0701, "step": 1729 }, { "epoch": 15.87, "learning_rate": 0.00013511904761904763, "loss": 0.1348, "step": 1730 }, { "epoch": 15.88, "learning_rate": 0.00013482142857142856, "loss": 0.1776, "step": 1731 }, { "epoch": 15.89, "learning_rate": 0.00013452380952380953, "loss": 0.2107, "step": 1732 }, { "epoch": 15.9, "learning_rate": 0.00013422619047619047, "loss": 0.0709, "step": 1733 }, { "epoch": 15.91, "learning_rate": 0.00013392857142857144, "loss": 0.1542, "step": 1734 }, { "epoch": 15.92, "learning_rate": 0.00013363095238095237, "loss": 0.1311, "step": 1735 }, { "epoch": 15.93, "learning_rate": 0.00013333333333333334, "loss": 0.0729, "step": 1736 }, { "epoch": 15.94, "learning_rate": 0.00013303571428571428, "loss": 0.096, "step": 1737 }, { "epoch": 15.94, "learning_rate": 0.00013273809523809524, "loss": 0.1067, "step": 1738 }, { "epoch": 15.95, "learning_rate": 0.00013244047619047618, "loss": 0.0956, "step": 1739 }, { "epoch": 15.96, "learning_rate": 0.00013214285714285715, "loss": 0.0983, "step": 1740 }, { "epoch": 15.97, "learning_rate": 0.00013184523809523811, "loss": 0.1505, "step": 1741 }, { "epoch": 15.98, "learning_rate": 0.00013154761904761905, "loss": 0.0834, "step": 1742 }, { "epoch": 15.99, "learning_rate": 0.00013125000000000002, "loss": 0.1417, "step": 1743 }, { "epoch": 16.0, "learning_rate": 0.00013095238095238096, "loss": 0.1448, "step": 1744 }, { "epoch": 16.01, "learning_rate": 0.00013065476190476192, "loss": 0.0706, "step": 1745 }, { "epoch": 16.02, "learning_rate": 0.00013035714285714286, "loss": 0.0663, "step": 1746 }, { "epoch": 16.03, "learning_rate": 0.00013005952380952383, "loss": 0.1197, "step": 1747 }, { "epoch": 16.04, "learning_rate": 0.00012976190476190477, "loss": 0.0855, "step": 1748 }, { "epoch": 16.05, "learning_rate": 0.00012946428571428573, "loss": 0.1345, "step": 1749 }, { "epoch": 16.06, "learning_rate": 0.00012916666666666667, "loss": 0.0666, "step": 1750 }, { "epoch": 16.06, "learning_rate": 0.0001288690476190476, "loss": 0.1267, "step": 1751 }, { "epoch": 16.07, "learning_rate": 0.00012857142857142855, "loss": 0.081, "step": 1752 }, { "epoch": 16.08, "learning_rate": 0.00012827380952380951, "loss": 0.0718, "step": 1753 }, { "epoch": 16.09, "learning_rate": 0.00012797619047619048, "loss": 0.1174, "step": 1754 }, { "epoch": 16.1, "learning_rate": 0.00012767857142857142, "loss": 0.1198, "step": 1755 }, { "epoch": 16.11, "learning_rate": 0.00012738095238095238, "loss": 0.1056, "step": 1756 }, { "epoch": 16.12, "learning_rate": 0.00012708333333333332, "loss": 0.105, "step": 1757 }, { "epoch": 16.13, "learning_rate": 0.0001267857142857143, "loss": 0.086, "step": 1758 }, { "epoch": 16.14, "learning_rate": 0.00012648809523809523, "loss": 0.129, "step": 1759 }, { "epoch": 16.15, "learning_rate": 0.0001261904761904762, "loss": 0.0731, "step": 1760 }, { "epoch": 16.16, "learning_rate": 0.00012589285714285713, "loss": 0.101, "step": 1761 }, { "epoch": 16.17, "learning_rate": 0.0001255952380952381, "loss": 0.0858, "step": 1762 }, { "epoch": 16.17, "learning_rate": 0.00012529761904761904, "loss": 0.113, "step": 1763 }, { "epoch": 16.18, "learning_rate": 0.000125, "loss": 0.1445, "step": 1764 }, { "epoch": 16.19, "learning_rate": 0.00012470238095238097, "loss": 0.1058, "step": 1765 }, { "epoch": 16.2, "learning_rate": 0.0001244047619047619, "loss": 0.1318, "step": 1766 }, { "epoch": 16.21, "learning_rate": 0.00012410714285714287, "loss": 0.1386, "step": 1767 }, { "epoch": 16.22, "learning_rate": 0.0001238095238095238, "loss": 0.2089, "step": 1768 }, { "epoch": 16.23, "learning_rate": 0.00012351190476190478, "loss": 0.1946, "step": 1769 }, { "epoch": 16.24, "learning_rate": 0.00012321428571428572, "loss": 0.1108, "step": 1770 }, { "epoch": 16.25, "learning_rate": 0.00012291666666666665, "loss": 0.0632, "step": 1771 }, { "epoch": 16.26, "learning_rate": 0.00012261904761904762, "loss": 0.0662, "step": 1772 }, { "epoch": 16.27, "learning_rate": 0.00012232142857142856, "loss": 0.0505, "step": 1773 }, { "epoch": 16.28, "learning_rate": 0.00012202380952380953, "loss": 0.1315, "step": 1774 }, { "epoch": 16.28, "learning_rate": 0.00012172619047619048, "loss": 0.1036, "step": 1775 }, { "epoch": 16.29, "learning_rate": 0.00012142857142857143, "loss": 0.0682, "step": 1776 }, { "epoch": 16.3, "learning_rate": 0.00012113095238095238, "loss": 0.1203, "step": 1777 }, { "epoch": 16.31, "learning_rate": 0.00012083333333333333, "loss": 0.0905, "step": 1778 }, { "epoch": 16.32, "learning_rate": 0.00012053571428571429, "loss": 0.1007, "step": 1779 }, { "epoch": 16.33, "learning_rate": 0.00012023809523809524, "loss": 0.163, "step": 1780 }, { "epoch": 16.34, "learning_rate": 0.00011994047619047619, "loss": 0.0525, "step": 1781 }, { "epoch": 16.35, "learning_rate": 0.00011964285714285716, "loss": 0.1342, "step": 1782 }, { "epoch": 16.36, "learning_rate": 0.00011934523809523811, "loss": 0.1066, "step": 1783 }, { "epoch": 16.37, "learning_rate": 0.00011904761904761905, "loss": 0.0884, "step": 1784 }, { "epoch": 16.38, "learning_rate": 0.00011875, "loss": 0.0691, "step": 1785 }, { "epoch": 16.39, "learning_rate": 0.00011845238095238095, "loss": 0.1113, "step": 1786 }, { "epoch": 16.39, "learning_rate": 0.0001181547619047619, "loss": 0.1485, "step": 1787 }, { "epoch": 16.4, "learning_rate": 0.00011785714285714286, "loss": 0.0884, "step": 1788 }, { "epoch": 16.41, "learning_rate": 0.00011755952380952381, "loss": 0.1138, "step": 1789 }, { "epoch": 16.42, "learning_rate": 0.00011726190476190476, "loss": 0.0589, "step": 1790 }, { "epoch": 16.43, "learning_rate": 0.00011696428571428571, "loss": 0.1474, "step": 1791 }, { "epoch": 16.44, "learning_rate": 0.00011666666666666667, "loss": 0.1702, "step": 1792 }, { "epoch": 16.45, "learning_rate": 0.00011636904761904762, "loss": 0.2386, "step": 1793 }, { "epoch": 16.46, "learning_rate": 0.00011607142857142858, "loss": 0.0561, "step": 1794 }, { "epoch": 16.47, "learning_rate": 0.00011577380952380954, "loss": 0.0518, "step": 1795 }, { "epoch": 16.48, "learning_rate": 0.00011547619047619049, "loss": 0.1007, "step": 1796 }, { "epoch": 16.49, "learning_rate": 0.00011517857142857143, "loss": 0.1163, "step": 1797 }, { "epoch": 16.5, "learning_rate": 0.00011488095238095238, "loss": 0.0908, "step": 1798 }, { "epoch": 16.5, "learning_rate": 0.00011458333333333333, "loss": 0.0642, "step": 1799 }, { "epoch": 16.51, "learning_rate": 0.00011428571428571428, "loss": 0.0739, "step": 1800 }, { "epoch": 16.51, "eval_loss": 0.636353075504303, "eval_runtime": 36.8832, "eval_samples_per_second": 44.654, "eval_steps_per_second": 2.793, "eval_wer": 0.1733909702209414, "step": 1800 }, { "epoch": 16.52, "learning_rate": 0.00011398809523809524, "loss": 0.1161, "step": 1801 }, { "epoch": 16.53, "learning_rate": 0.00011369047619047619, "loss": 0.1029, "step": 1802 }, { "epoch": 16.54, "learning_rate": 0.00011339285714285714, "loss": 0.0847, "step": 1803 }, { "epoch": 16.55, "learning_rate": 0.00011309523809523809, "loss": 0.0892, "step": 1804 }, { "epoch": 16.56, "learning_rate": 0.00011279761904761906, "loss": 0.084, "step": 1805 }, { "epoch": 16.57, "learning_rate": 0.00011250000000000001, "loss": 0.0959, "step": 1806 }, { "epoch": 16.58, "learning_rate": 0.00011220238095238096, "loss": 0.0757, "step": 1807 }, { "epoch": 16.59, "learning_rate": 0.00011190476190476191, "loss": 0.0454, "step": 1808 }, { "epoch": 16.6, "learning_rate": 0.00011160714285714287, "loss": 0.1051, "step": 1809 }, { "epoch": 16.61, "learning_rate": 0.0001113095238095238, "loss": 0.1138, "step": 1810 }, { "epoch": 16.61, "learning_rate": 0.00011101190476190476, "loss": 0.0513, "step": 1811 }, { "epoch": 16.62, "learning_rate": 0.00011071428571428571, "loss": 0.1142, "step": 1812 }, { "epoch": 16.63, "learning_rate": 0.00011041666666666666, "loss": 0.1438, "step": 1813 }, { "epoch": 16.64, "learning_rate": 0.00011011904761904761, "loss": 0.0993, "step": 1814 }, { "epoch": 16.65, "learning_rate": 0.00010982142857142857, "loss": 0.1016, "step": 1815 }, { "epoch": 16.66, "learning_rate": 0.00010952380952380952, "loss": 0.1222, "step": 1816 }, { "epoch": 16.67, "learning_rate": 0.00010922619047619049, "loss": 0.1219, "step": 1817 }, { "epoch": 16.68, "learning_rate": 0.00010892857142857144, "loss": 0.2112, "step": 1818 }, { "epoch": 16.69, "learning_rate": 0.00010863095238095239, "loss": 0.2107, "step": 1819 }, { "epoch": 16.7, "learning_rate": 0.00010833333333333334, "loss": 0.0926, "step": 1820 }, { "epoch": 16.71, "learning_rate": 0.0001080357142857143, "loss": 0.0608, "step": 1821 }, { "epoch": 16.72, "learning_rate": 0.00010773809523809525, "loss": 0.0786, "step": 1822 }, { "epoch": 16.72, "learning_rate": 0.0001074404761904762, "loss": 0.0934, "step": 1823 }, { "epoch": 16.73, "learning_rate": 0.00010714285714285714, "loss": 0.0728, "step": 1824 }, { "epoch": 16.74, "learning_rate": 0.00010684523809523809, "loss": 0.09, "step": 1825 }, { "epoch": 16.75, "learning_rate": 0.00010654761904761904, "loss": 0.1064, "step": 1826 }, { "epoch": 16.76, "learning_rate": 0.00010625, "loss": 0.1093, "step": 1827 }, { "epoch": 16.77, "learning_rate": 0.00010595238095238095, "loss": 0.1165, "step": 1828 }, { "epoch": 16.78, "learning_rate": 0.00010565476190476191, "loss": 0.1184, "step": 1829 }, { "epoch": 16.79, "learning_rate": 0.00010535714285714286, "loss": 0.1474, "step": 1830 }, { "epoch": 16.8, "learning_rate": 0.00010505952380952382, "loss": 0.1378, "step": 1831 }, { "epoch": 16.81, "learning_rate": 0.00010476190476190477, "loss": 0.1067, "step": 1832 }, { "epoch": 16.82, "learning_rate": 0.00010446428571428572, "loss": 0.107, "step": 1833 }, { "epoch": 16.83, "learning_rate": 0.00010416666666666667, "loss": 0.1386, "step": 1834 }, { "epoch": 16.83, "learning_rate": 0.00010386904761904763, "loss": 0.1018, "step": 1835 }, { "epoch": 16.84, "learning_rate": 0.00010357142857142858, "loss": 0.1078, "step": 1836 }, { "epoch": 16.85, "learning_rate": 0.00010327380952380952, "loss": 0.0957, "step": 1837 }, { "epoch": 16.86, "learning_rate": 0.00010297619047619047, "loss": 0.0925, "step": 1838 }, { "epoch": 16.87, "learning_rate": 0.00010267857142857142, "loss": 0.1759, "step": 1839 }, { "epoch": 16.88, "learning_rate": 0.00010238095238095239, "loss": 0.1382, "step": 1840 }, { "epoch": 16.89, "learning_rate": 0.00010208333333333334, "loss": 0.1441, "step": 1841 }, { "epoch": 16.9, "learning_rate": 0.00010178571428571429, "loss": 0.1077, "step": 1842 }, { "epoch": 16.91, "learning_rate": 0.00010148809523809524, "loss": 0.1217, "step": 1843 }, { "epoch": 16.92, "learning_rate": 0.0001011904761904762, "loss": 0.1661, "step": 1844 }, { "epoch": 16.93, "learning_rate": 0.00010089285714285715, "loss": 0.0629, "step": 1845 }, { "epoch": 16.94, "learning_rate": 0.0001005952380952381, "loss": 0.0667, "step": 1846 }, { "epoch": 16.94, "learning_rate": 0.00010029761904761905, "loss": 0.0838, "step": 1847 }, { "epoch": 16.95, "learning_rate": 0.0001, "loss": 0.095, "step": 1848 }, { "epoch": 16.96, "learning_rate": 9.970238095238096e-05, "loss": 0.0978, "step": 1849 }, { "epoch": 16.97, "learning_rate": 9.94047619047619e-05, "loss": 0.1134, "step": 1850 }, { "epoch": 16.98, "learning_rate": 9.910714285714285e-05, "loss": 0.1552, "step": 1851 }, { "epoch": 16.99, "learning_rate": 9.880952380952381e-05, "loss": 0.1465, "step": 1852 }, { "epoch": 17.0, "learning_rate": 9.851190476190477e-05, "loss": 0.1127, "step": 1853 }, { "epoch": 17.01, "learning_rate": 9.821428571428572e-05, "loss": 0.0991, "step": 1854 }, { "epoch": 17.02, "learning_rate": 9.791666666666667e-05, "loss": 0.0906, "step": 1855 }, { "epoch": 17.03, "learning_rate": 9.761904761904762e-05, "loss": 0.0847, "step": 1856 }, { "epoch": 17.04, "learning_rate": 9.732142857142858e-05, "loss": 0.0729, "step": 1857 }, { "epoch": 17.05, "learning_rate": 9.702380952380953e-05, "loss": 0.1175, "step": 1858 }, { "epoch": 17.06, "learning_rate": 9.672619047619048e-05, "loss": 0.0731, "step": 1859 }, { "epoch": 17.06, "learning_rate": 9.642857142857143e-05, "loss": 0.0511, "step": 1860 }, { "epoch": 17.07, "learning_rate": 9.613095238095238e-05, "loss": 0.0825, "step": 1861 }, { "epoch": 17.08, "learning_rate": 9.583333333333334e-05, "loss": 0.0768, "step": 1862 }, { "epoch": 17.09, "learning_rate": 9.553571428571427e-05, "loss": 0.09, "step": 1863 }, { "epoch": 17.1, "learning_rate": 9.523809523809524e-05, "loss": 0.1126, "step": 1864 }, { "epoch": 17.11, "learning_rate": 9.494047619047619e-05, "loss": 0.1019, "step": 1865 }, { "epoch": 17.12, "learning_rate": 9.464285714285715e-05, "loss": 0.1264, "step": 1866 }, { "epoch": 17.13, "learning_rate": 9.43452380952381e-05, "loss": 0.07, "step": 1867 }, { "epoch": 17.14, "learning_rate": 9.404761904761905e-05, "loss": 0.0657, "step": 1868 }, { "epoch": 17.15, "learning_rate": 9.375e-05, "loss": 0.1125, "step": 1869 }, { "epoch": 17.16, "learning_rate": 9.345238095238095e-05, "loss": 0.1469, "step": 1870 }, { "epoch": 17.17, "learning_rate": 9.31547619047619e-05, "loss": 0.0735, "step": 1871 }, { "epoch": 17.17, "learning_rate": 9.285714285714286e-05, "loss": 0.1193, "step": 1872 }, { "epoch": 17.18, "learning_rate": 9.255952380952381e-05, "loss": 0.1006, "step": 1873 }, { "epoch": 17.19, "learning_rate": 9.226190476190476e-05, "loss": 0.0742, "step": 1874 }, { "epoch": 17.2, "learning_rate": 9.196428571428573e-05, "loss": 0.0634, "step": 1875 }, { "epoch": 17.21, "learning_rate": 9.166666666666667e-05, "loss": 0.0904, "step": 1876 }, { "epoch": 17.22, "learning_rate": 9.136904761904762e-05, "loss": 0.1332, "step": 1877 }, { "epoch": 17.23, "learning_rate": 9.107142857142857e-05, "loss": 0.1588, "step": 1878 }, { "epoch": 17.24, "learning_rate": 9.077380952380952e-05, "loss": 0.0653, "step": 1879 }, { "epoch": 17.25, "learning_rate": 9.047619047619048e-05, "loss": 0.0711, "step": 1880 }, { "epoch": 17.26, "learning_rate": 9.017857142857143e-05, "loss": 0.0951, "step": 1881 }, { "epoch": 17.27, "learning_rate": 8.988095238095238e-05, "loss": 0.0535, "step": 1882 }, { "epoch": 17.28, "learning_rate": 8.958333333333333e-05, "loss": 0.0702, "step": 1883 }, { "epoch": 17.28, "learning_rate": 8.928571428571429e-05, "loss": 0.0847, "step": 1884 }, { "epoch": 17.29, "learning_rate": 8.898809523809524e-05, "loss": 0.0955, "step": 1885 }, { "epoch": 17.3, "learning_rate": 8.869047619047619e-05, "loss": 0.133, "step": 1886 }, { "epoch": 17.31, "learning_rate": 8.839285714285716e-05, "loss": 0.1136, "step": 1887 }, { "epoch": 17.32, "learning_rate": 8.809523809523811e-05, "loss": 0.1, "step": 1888 }, { "epoch": 17.33, "learning_rate": 8.779761904761905e-05, "loss": 0.1026, "step": 1889 }, { "epoch": 17.34, "learning_rate": 8.75e-05, "loss": 0.0865, "step": 1890 }, { "epoch": 17.35, "learning_rate": 8.720238095238095e-05, "loss": 0.0939, "step": 1891 }, { "epoch": 17.36, "learning_rate": 8.69047619047619e-05, "loss": 0.0931, "step": 1892 }, { "epoch": 17.37, "learning_rate": 8.660714285714286e-05, "loss": 0.1059, "step": 1893 }, { "epoch": 17.38, "learning_rate": 8.630952380952381e-05, "loss": 0.1058, "step": 1894 }, { "epoch": 17.39, "learning_rate": 8.601190476190476e-05, "loss": 0.0489, "step": 1895 }, { "epoch": 17.39, "learning_rate": 8.571428571428571e-05, "loss": 0.0869, "step": 1896 }, { "epoch": 17.4, "learning_rate": 8.541666666666666e-05, "loss": 0.1203, "step": 1897 }, { "epoch": 17.41, "learning_rate": 8.511904761904762e-05, "loss": 0.0807, "step": 1898 }, { "epoch": 17.42, "learning_rate": 8.482142857142858e-05, "loss": 0.087, "step": 1899 }, { "epoch": 17.43, "learning_rate": 8.452380952380954e-05, "loss": 0.0897, "step": 1900 }, { "epoch": 17.43, "eval_loss": 0.6480305790901184, "eval_runtime": 36.7987, "eval_samples_per_second": 44.757, "eval_steps_per_second": 2.799, "eval_wer": 0.17479186679474865, "step": 1900 }, { "epoch": 17.44, "learning_rate": 8.422619047619049e-05, "loss": 0.0981, "step": 1901 }, { "epoch": 17.45, "learning_rate": 8.392857142857143e-05, "loss": 0.0952, "step": 1902 }, { "epoch": 17.46, "learning_rate": 8.363095238095238e-05, "loss": 0.1314, "step": 1903 }, { "epoch": 17.47, "learning_rate": 8.333333333333333e-05, "loss": 0.0645, "step": 1904 }, { "epoch": 17.48, "learning_rate": 8.303571428571428e-05, "loss": 0.1099, "step": 1905 }, { "epoch": 17.49, "learning_rate": 8.273809523809524e-05, "loss": 0.0836, "step": 1906 }, { "epoch": 17.5, "learning_rate": 8.244047619047619e-05, "loss": 0.0844, "step": 1907 }, { "epoch": 17.5, "learning_rate": 8.214285714285714e-05, "loss": 0.1074, "step": 1908 }, { "epoch": 17.51, "learning_rate": 8.184523809523809e-05, "loss": 0.066, "step": 1909 }, { "epoch": 17.52, "learning_rate": 8.154761904761906e-05, "loss": 0.0932, "step": 1910 }, { "epoch": 17.53, "learning_rate": 8.125000000000001e-05, "loss": 0.0805, "step": 1911 }, { "epoch": 17.54, "learning_rate": 8.095238095238096e-05, "loss": 0.0981, "step": 1912 }, { "epoch": 17.55, "learning_rate": 8.065476190476191e-05, "loss": 0.074, "step": 1913 }, { "epoch": 17.56, "learning_rate": 8.035714285714287e-05, "loss": 0.1012, "step": 1914 }, { "epoch": 17.57, "learning_rate": 8.00595238095238e-05, "loss": 0.0715, "step": 1915 }, { "epoch": 17.58, "learning_rate": 7.976190476190476e-05, "loss": 0.0869, "step": 1916 }, { "epoch": 17.59, "learning_rate": 7.946428571428571e-05, "loss": 0.1156, "step": 1917 }, { "epoch": 17.6, "learning_rate": 7.916666666666666e-05, "loss": 0.1124, "step": 1918 }, { "epoch": 17.61, "learning_rate": 7.886904761904761e-05, "loss": 0.1004, "step": 1919 }, { "epoch": 17.61, "learning_rate": 7.857142857142857e-05, "loss": 0.1127, "step": 1920 }, { "epoch": 17.62, "learning_rate": 7.827380952380952e-05, "loss": 0.0584, "step": 1921 }, { "epoch": 17.63, "learning_rate": 7.797619047619048e-05, "loss": 0.0848, "step": 1922 }, { "epoch": 17.64, "learning_rate": 7.767857142857144e-05, "loss": 0.1273, "step": 1923 }, { "epoch": 17.65, "learning_rate": 7.738095238095239e-05, "loss": 0.1349, "step": 1924 }, { "epoch": 17.66, "learning_rate": 7.708333333333334e-05, "loss": 0.0898, "step": 1925 }, { "epoch": 17.67, "learning_rate": 7.67857142857143e-05, "loss": 0.1073, "step": 1926 }, { "epoch": 17.68, "learning_rate": 7.648809523809525e-05, "loss": 0.1604, "step": 1927 }, { "epoch": 17.69, "learning_rate": 7.61904761904762e-05, "loss": 0.1785, "step": 1928 }, { "epoch": 17.7, "learning_rate": 7.589285714285714e-05, "loss": 0.0548, "step": 1929 }, { "epoch": 17.71, "learning_rate": 7.559523809523809e-05, "loss": 0.0928, "step": 1930 }, { "epoch": 17.72, "learning_rate": 7.529761904761904e-05, "loss": 0.0711, "step": 1931 }, { "epoch": 17.72, "learning_rate": 7.5e-05, "loss": 0.0662, "step": 1932 }, { "epoch": 17.73, "learning_rate": 7.470238095238095e-05, "loss": 0.0697, "step": 1933 }, { "epoch": 17.74, "learning_rate": 7.440476190476191e-05, "loss": 0.0748, "step": 1934 }, { "epoch": 17.75, "learning_rate": 7.410714285714286e-05, "loss": 0.0825, "step": 1935 }, { "epoch": 17.76, "learning_rate": 7.380952380952382e-05, "loss": 0.0786, "step": 1936 }, { "epoch": 17.77, "learning_rate": 7.351190476190477e-05, "loss": 0.0621, "step": 1937 }, { "epoch": 17.78, "learning_rate": 7.321428571428572e-05, "loss": 0.1623, "step": 1938 }, { "epoch": 17.79, "learning_rate": 7.291666666666667e-05, "loss": 0.116, "step": 1939 }, { "epoch": 17.8, "learning_rate": 7.261904761904762e-05, "loss": 0.1189, "step": 1940 }, { "epoch": 17.81, "learning_rate": 7.232142857142858e-05, "loss": 0.0676, "step": 1941 }, { "epoch": 17.82, "learning_rate": 7.202380952380952e-05, "loss": 0.1002, "step": 1942 }, { "epoch": 17.83, "learning_rate": 7.172619047619047e-05, "loss": 0.1061, "step": 1943 }, { "epoch": 17.83, "learning_rate": 7.142857142857142e-05, "loss": 0.0815, "step": 1944 }, { "epoch": 17.84, "learning_rate": 7.113095238095239e-05, "loss": 0.0864, "step": 1945 }, { "epoch": 17.85, "learning_rate": 7.083333333333334e-05, "loss": 0.1093, "step": 1946 }, { "epoch": 17.86, "learning_rate": 7.053571428571429e-05, "loss": 0.1162, "step": 1947 }, { "epoch": 17.87, "learning_rate": 7.023809523809524e-05, "loss": 0.0918, "step": 1948 }, { "epoch": 17.88, "learning_rate": 6.99404761904762e-05, "loss": 0.1159, "step": 1949 }, { "epoch": 17.89, "learning_rate": 6.964285714285715e-05, "loss": 0.1043, "step": 1950 }, { "epoch": 17.9, "learning_rate": 6.93452380952381e-05, "loss": 0.1428, "step": 1951 }, { "epoch": 17.91, "learning_rate": 6.904761904761905e-05, "loss": 0.0792, "step": 1952 }, { "epoch": 17.92, "learning_rate": 6.875e-05, "loss": 0.0718, "step": 1953 }, { "epoch": 17.93, "learning_rate": 6.845238095238096e-05, "loss": 0.0371, "step": 1954 }, { "epoch": 17.94, "learning_rate": 6.81547619047619e-05, "loss": 0.0364, "step": 1955 }, { "epoch": 17.94, "learning_rate": 6.785714285714285e-05, "loss": 0.1064, "step": 1956 }, { "epoch": 17.95, "learning_rate": 6.755952380952381e-05, "loss": 0.1271, "step": 1957 }, { "epoch": 17.96, "learning_rate": 6.726190476190477e-05, "loss": 0.0836, "step": 1958 }, { "epoch": 17.97, "learning_rate": 6.696428571428572e-05, "loss": 0.1375, "step": 1959 }, { "epoch": 17.98, "learning_rate": 6.666666666666667e-05, "loss": 0.1149, "step": 1960 }, { "epoch": 17.99, "learning_rate": 6.636904761904762e-05, "loss": 0.1345, "step": 1961 }, { "epoch": 18.0, "learning_rate": 6.607142857142857e-05, "loss": 0.1497, "step": 1962 }, { "epoch": 18.01, "learning_rate": 6.577380952380953e-05, "loss": 0.0635, "step": 1963 }, { "epoch": 18.02, "learning_rate": 6.547619047619048e-05, "loss": 0.0405, "step": 1964 }, { "epoch": 18.03, "learning_rate": 6.517857142857143e-05, "loss": 0.0641, "step": 1965 }, { "epoch": 18.04, "learning_rate": 6.488095238095238e-05, "loss": 0.0873, "step": 1966 }, { "epoch": 18.05, "learning_rate": 6.458333333333334e-05, "loss": 0.0987, "step": 1967 }, { "epoch": 18.06, "learning_rate": 6.428571428571427e-05, "loss": 0.0818, "step": 1968 }, { "epoch": 18.06, "learning_rate": 6.398809523809524e-05, "loss": 0.0501, "step": 1969 }, { "epoch": 18.07, "learning_rate": 6.369047619047619e-05, "loss": 0.0817, "step": 1970 }, { "epoch": 18.08, "learning_rate": 6.339285714285714e-05, "loss": 0.0699, "step": 1971 }, { "epoch": 18.09, "learning_rate": 6.30952380952381e-05, "loss": 0.0936, "step": 1972 }, { "epoch": 18.1, "learning_rate": 6.279761904761905e-05, "loss": 0.1194, "step": 1973 }, { "epoch": 18.11, "learning_rate": 6.25e-05, "loss": 0.0769, "step": 1974 }, { "epoch": 18.12, "learning_rate": 6.220238095238095e-05, "loss": 0.0863, "step": 1975 }, { "epoch": 18.13, "learning_rate": 6.19047619047619e-05, "loss": 0.0809, "step": 1976 }, { "epoch": 18.14, "learning_rate": 6.160714285714286e-05, "loss": 0.0479, "step": 1977 }, { "epoch": 18.15, "learning_rate": 6.130952380952381e-05, "loss": 0.0576, "step": 1978 }, { "epoch": 18.16, "learning_rate": 6.101190476190476e-05, "loss": 0.1438, "step": 1979 }, { "epoch": 18.17, "learning_rate": 6.0714285714285715e-05, "loss": 0.1105, "step": 1980 }, { "epoch": 18.17, "learning_rate": 6.041666666666667e-05, "loss": 0.1015, "step": 1981 }, { "epoch": 18.18, "learning_rate": 6.011904761904762e-05, "loss": 0.0884, "step": 1982 }, { "epoch": 18.19, "learning_rate": 5.982142857142858e-05, "loss": 0.0889, "step": 1983 }, { "epoch": 18.2, "learning_rate": 5.9523809523809524e-05, "loss": 0.1118, "step": 1984 }, { "epoch": 18.21, "learning_rate": 5.9226190476190476e-05, "loss": 0.1157, "step": 1985 }, { "epoch": 18.22, "learning_rate": 5.892857142857143e-05, "loss": 0.1445, "step": 1986 }, { "epoch": 18.23, "learning_rate": 5.863095238095238e-05, "loss": 0.2139, "step": 1987 }, { "epoch": 18.24, "learning_rate": 5.833333333333333e-05, "loss": 0.1033, "step": 1988 }, { "epoch": 18.25, "learning_rate": 5.803571428571429e-05, "loss": 0.0555, "step": 1989 }, { "epoch": 18.26, "learning_rate": 5.7738095238095244e-05, "loss": 0.0635, "step": 1990 }, { "epoch": 18.27, "learning_rate": 5.744047619047619e-05, "loss": 0.0768, "step": 1991 }, { "epoch": 18.28, "learning_rate": 5.714285714285714e-05, "loss": 0.0708, "step": 1992 }, { "epoch": 18.28, "learning_rate": 5.6845238095238094e-05, "loss": 0.0716, "step": 1993 }, { "epoch": 18.29, "learning_rate": 5.6547619047619046e-05, "loss": 0.0827, "step": 1994 }, { "epoch": 18.3, "learning_rate": 5.6250000000000005e-05, "loss": 0.0707, "step": 1995 }, { "epoch": 18.31, "learning_rate": 5.595238095238096e-05, "loss": 0.1142, "step": 1996 }, { "epoch": 18.32, "learning_rate": 5.56547619047619e-05, "loss": 0.0799, "step": 1997 }, { "epoch": 18.33, "learning_rate": 5.5357142857142855e-05, "loss": 0.0646, "step": 1998 }, { "epoch": 18.34, "learning_rate": 5.505952380952381e-05, "loss": 0.0667, "step": 1999 }, { "epoch": 18.35, "learning_rate": 5.476190476190476e-05, "loss": 0.0795, "step": 2000 }, { "epoch": 18.35, "eval_loss": 0.6355569958686829, "eval_runtime": 36.3335, "eval_samples_per_second": 45.33, "eval_steps_per_second": 2.835, "eval_wer": 0.16946845981428113, "step": 2000 }, { "epoch": 18.36, "learning_rate": 5.446428571428572e-05, "loss": 0.0836, "step": 2001 }, { "epoch": 18.37, "learning_rate": 5.416666666666667e-05, "loss": 0.0855, "step": 2002 }, { "epoch": 18.38, "learning_rate": 5.386904761904762e-05, "loss": 0.0638, "step": 2003 }, { "epoch": 18.39, "learning_rate": 5.357142857142857e-05, "loss": 0.093, "step": 2004 }, { "epoch": 18.39, "learning_rate": 5.327380952380952e-05, "loss": 0.0781, "step": 2005 }, { "epoch": 18.4, "learning_rate": 5.297619047619047e-05, "loss": 0.1032, "step": 2006 }, { "epoch": 18.41, "learning_rate": 5.267857142857143e-05, "loss": 0.0754, "step": 2007 }, { "epoch": 18.42, "learning_rate": 5.2380952380952384e-05, "loss": 0.0874, "step": 2008 }, { "epoch": 18.43, "learning_rate": 5.208333333333334e-05, "loss": 0.1203, "step": 2009 }, { "epoch": 18.44, "learning_rate": 5.178571428571429e-05, "loss": 0.175, "step": 2010 }, { "epoch": 18.45, "learning_rate": 5.1488095238095234e-05, "loss": 0.0995, "step": 2011 }, { "epoch": 18.46, "learning_rate": 5.1190476190476193e-05, "loss": 0.1214, "step": 2012 }, { "epoch": 18.47, "learning_rate": 5.0892857142857146e-05, "loss": 0.0648, "step": 2013 }, { "epoch": 18.48, "learning_rate": 5.05952380952381e-05, "loss": 0.0969, "step": 2014 }, { "epoch": 18.49, "learning_rate": 5.029761904761905e-05, "loss": 0.0798, "step": 2015 }, { "epoch": 18.5, "learning_rate": 5e-05, "loss": 0.0641, "step": 2016 }, { "epoch": 18.5, "learning_rate": 4.970238095238095e-05, "loss": 0.0607, "step": 2017 }, { "epoch": 18.51, "learning_rate": 4.940476190476191e-05, "loss": 0.058, "step": 2018 }, { "epoch": 18.52, "learning_rate": 4.910714285714286e-05, "loss": 0.08, "step": 2019 }, { "epoch": 18.53, "learning_rate": 4.880952380952381e-05, "loss": 0.0812, "step": 2020 }, { "epoch": 18.54, "learning_rate": 4.8511904761904764e-05, "loss": 0.0707, "step": 2021 }, { "epoch": 18.55, "learning_rate": 4.8214285714285716e-05, "loss": 0.0712, "step": 2022 }, { "epoch": 18.56, "learning_rate": 4.791666666666667e-05, "loss": 0.0826, "step": 2023 }, { "epoch": 18.57, "learning_rate": 4.761904761904762e-05, "loss": 0.0673, "step": 2024 }, { "epoch": 18.58, "learning_rate": 4.732142857142857e-05, "loss": 0.0507, "step": 2025 }, { "epoch": 18.59, "learning_rate": 4.7023809523809525e-05, "loss": 0.185, "step": 2026 }, { "epoch": 18.6, "learning_rate": 4.672619047619048e-05, "loss": 0.1038, "step": 2027 }, { "epoch": 18.61, "learning_rate": 4.642857142857143e-05, "loss": 0.0968, "step": 2028 }, { "epoch": 18.61, "learning_rate": 4.613095238095238e-05, "loss": 0.0972, "step": 2029 }, { "epoch": 18.62, "learning_rate": 4.5833333333333334e-05, "loss": 0.0769, "step": 2030 }, { "epoch": 18.63, "learning_rate": 4.5535714285714286e-05, "loss": 0.1079, "step": 2031 }, { "epoch": 18.64, "learning_rate": 4.523809523809524e-05, "loss": 0.1168, "step": 2032 }, { "epoch": 18.65, "learning_rate": 4.494047619047619e-05, "loss": 0.0554, "step": 2033 }, { "epoch": 18.66, "learning_rate": 4.464285714285714e-05, "loss": 0.116, "step": 2034 }, { "epoch": 18.67, "learning_rate": 4.4345238095238095e-05, "loss": 0.1561, "step": 2035 }, { "epoch": 18.68, "learning_rate": 4.4047619047619054e-05, "loss": 0.1166, "step": 2036 }, { "epoch": 18.69, "learning_rate": 4.375e-05, "loss": 0.1488, "step": 2037 }, { "epoch": 18.7, "learning_rate": 4.345238095238095e-05, "loss": 0.0781, "step": 2038 }, { "epoch": 18.71, "learning_rate": 4.3154761904761904e-05, "loss": 0.0462, "step": 2039 }, { "epoch": 18.72, "learning_rate": 4.2857142857142856e-05, "loss": 0.051, "step": 2040 }, { "epoch": 18.72, "learning_rate": 4.255952380952381e-05, "loss": 0.0418, "step": 2041 }, { "epoch": 18.73, "learning_rate": 4.226190476190477e-05, "loss": 0.0922, "step": 2042 }, { "epoch": 18.74, "learning_rate": 4.196428571428571e-05, "loss": 0.0862, "step": 2043 }, { "epoch": 18.75, "learning_rate": 4.1666666666666665e-05, "loss": 0.0866, "step": 2044 }, { "epoch": 18.76, "learning_rate": 4.136904761904762e-05, "loss": 0.0852, "step": 2045 }, { "epoch": 18.77, "learning_rate": 4.107142857142857e-05, "loss": 0.0459, "step": 2046 }, { "epoch": 18.78, "learning_rate": 4.077380952380953e-05, "loss": 0.0874, "step": 2047 }, { "epoch": 18.79, "learning_rate": 4.047619047619048e-05, "loss": 0.0818, "step": 2048 }, { "epoch": 18.8, "learning_rate": 4.017857142857143e-05, "loss": 0.1007, "step": 2049 }, { "epoch": 18.81, "learning_rate": 3.988095238095238e-05, "loss": 0.0855, "step": 2050 }, { "epoch": 18.82, "learning_rate": 3.958333333333333e-05, "loss": 0.0631, "step": 2051 }, { "epoch": 18.83, "learning_rate": 3.928571428571428e-05, "loss": 0.0807, "step": 2052 }, { "epoch": 18.83, "learning_rate": 3.898809523809524e-05, "loss": 0.1081, "step": 2053 }, { "epoch": 18.84, "learning_rate": 3.8690476190476195e-05, "loss": 0.137, "step": 2054 }, { "epoch": 18.85, "learning_rate": 3.839285714285715e-05, "loss": 0.0707, "step": 2055 }, { "epoch": 18.86, "learning_rate": 3.80952380952381e-05, "loss": 0.0526, "step": 2056 }, { "epoch": 18.87, "learning_rate": 3.7797619047619044e-05, "loss": 0.0926, "step": 2057 }, { "epoch": 18.88, "learning_rate": 3.75e-05, "loss": 0.1162, "step": 2058 }, { "epoch": 18.89, "learning_rate": 3.7202380952380956e-05, "loss": 0.0954, "step": 2059 }, { "epoch": 18.9, "learning_rate": 3.690476190476191e-05, "loss": 0.1053, "step": 2060 }, { "epoch": 18.91, "learning_rate": 3.660714285714286e-05, "loss": 0.1704, "step": 2061 }, { "epoch": 18.92, "learning_rate": 3.630952380952381e-05, "loss": 0.1157, "step": 2062 }, { "epoch": 18.93, "learning_rate": 3.601190476190476e-05, "loss": 0.0659, "step": 2063 }, { "epoch": 18.94, "learning_rate": 3.571428571428571e-05, "loss": 0.1095, "step": 2064 }, { "epoch": 18.94, "learning_rate": 3.541666666666667e-05, "loss": 0.0532, "step": 2065 }, { "epoch": 18.95, "learning_rate": 3.511904761904762e-05, "loss": 0.071, "step": 2066 }, { "epoch": 18.96, "learning_rate": 3.4821428571428574e-05, "loss": 0.0824, "step": 2067 }, { "epoch": 18.97, "learning_rate": 3.4523809523809526e-05, "loss": 0.0958, "step": 2068 }, { "epoch": 18.98, "learning_rate": 3.422619047619048e-05, "loss": 0.088, "step": 2069 }, { "epoch": 18.99, "learning_rate": 3.3928571428571424e-05, "loss": 0.15, "step": 2070 }, { "epoch": 19.0, "learning_rate": 3.363095238095238e-05, "loss": 0.126, "step": 2071 }, { "epoch": 19.01, "learning_rate": 3.3333333333333335e-05, "loss": 0.0591, "step": 2072 }, { "epoch": 19.02, "learning_rate": 3.303571428571429e-05, "loss": 0.0479, "step": 2073 }, { "epoch": 19.03, "learning_rate": 3.273809523809524e-05, "loss": 0.0767, "step": 2074 }, { "epoch": 19.04, "learning_rate": 3.244047619047619e-05, "loss": 0.0861, "step": 2075 }, { "epoch": 19.05, "learning_rate": 3.214285714285714e-05, "loss": 0.0689, "step": 2076 }, { "epoch": 19.06, "learning_rate": 3.1845238095238096e-05, "loss": 0.0604, "step": 2077 }, { "epoch": 19.06, "learning_rate": 3.154761904761905e-05, "loss": 0.0707, "step": 2078 }, { "epoch": 19.07, "learning_rate": 3.125e-05, "loss": 0.0837, "step": 2079 }, { "epoch": 19.08, "learning_rate": 3.095238095238095e-05, "loss": 0.0842, "step": 2080 }, { "epoch": 19.09, "learning_rate": 3.0654761904761905e-05, "loss": 0.0696, "step": 2081 }, { "epoch": 19.1, "learning_rate": 3.0357142857142857e-05, "loss": 0.0978, "step": 2082 }, { "epoch": 19.11, "learning_rate": 3.005952380952381e-05, "loss": 0.0768, "step": 2083 }, { "epoch": 19.12, "learning_rate": 2.9761904761904762e-05, "loss": 0.0602, "step": 2084 }, { "epoch": 19.13, "learning_rate": 2.9464285714285714e-05, "loss": 0.0518, "step": 2085 }, { "epoch": 19.14, "learning_rate": 2.9166666666666666e-05, "loss": 0.0879, "step": 2086 }, { "epoch": 19.15, "learning_rate": 2.8869047619047622e-05, "loss": 0.0623, "step": 2087 }, { "epoch": 19.16, "learning_rate": 2.857142857142857e-05, "loss": 0.1092, "step": 2088 }, { "epoch": 19.17, "learning_rate": 2.8273809523809523e-05, "loss": 0.0798, "step": 2089 }, { "epoch": 19.17, "learning_rate": 2.797619047619048e-05, "loss": 0.0767, "step": 2090 }, { "epoch": 19.18, "learning_rate": 2.7678571428571428e-05, "loss": 0.107, "step": 2091 }, { "epoch": 19.19, "learning_rate": 2.738095238095238e-05, "loss": 0.0637, "step": 2092 }, { "epoch": 19.2, "learning_rate": 2.7083333333333335e-05, "loss": 0.1391, "step": 2093 }, { "epoch": 19.21, "learning_rate": 2.6785714285714284e-05, "loss": 0.1613, "step": 2094 }, { "epoch": 19.22, "learning_rate": 2.6488095238095237e-05, "loss": 0.1396, "step": 2095 }, { "epoch": 19.23, "learning_rate": 2.6190476190476192e-05, "loss": 0.0893, "step": 2096 }, { "epoch": 19.24, "learning_rate": 2.5892857142857144e-05, "loss": 0.0672, "step": 2097 }, { "epoch": 19.25, "learning_rate": 2.5595238095238097e-05, "loss": 0.0681, "step": 2098 }, { "epoch": 19.26, "learning_rate": 2.529761904761905e-05, "loss": 0.0472, "step": 2099 }, { "epoch": 19.27, "learning_rate": 2.5e-05, "loss": 0.0823, "step": 2100 }, { "epoch": 19.27, "eval_loss": 0.6381826400756836, "eval_runtime": 36.8508, "eval_samples_per_second": 44.694, "eval_steps_per_second": 2.795, "eval_wer": 0.16846781940441882, "step": 2100 }, { "epoch": 19.28, "learning_rate": 2.4702380952380953e-05, "loss": 0.0771, "step": 2101 }, { "epoch": 19.28, "learning_rate": 2.4404761904761906e-05, "loss": 0.0986, "step": 2102 }, { "epoch": 19.29, "learning_rate": 2.4107142857142858e-05, "loss": 0.0623, "step": 2103 }, { "epoch": 19.3, "learning_rate": 2.380952380952381e-05, "loss": 0.0533, "step": 2104 }, { "epoch": 19.31, "learning_rate": 2.3511904761904762e-05, "loss": 0.0735, "step": 2105 }, { "epoch": 19.32, "learning_rate": 2.3214285714285715e-05, "loss": 0.0825, "step": 2106 }, { "epoch": 19.33, "learning_rate": 2.2916666666666667e-05, "loss": 0.0804, "step": 2107 }, { "epoch": 19.34, "learning_rate": 2.261904761904762e-05, "loss": 0.0386, "step": 2108 }, { "epoch": 19.35, "learning_rate": 2.232142857142857e-05, "loss": 0.0503, "step": 2109 }, { "epoch": 19.36, "learning_rate": 2.2023809523809527e-05, "loss": 0.096, "step": 2110 }, { "epoch": 19.37, "learning_rate": 2.1726190476190476e-05, "loss": 0.0934, "step": 2111 }, { "epoch": 19.38, "learning_rate": 2.1428571428571428e-05, "loss": 0.0629, "step": 2112 }, { "epoch": 19.39, "learning_rate": 2.1130952380952384e-05, "loss": 0.1387, "step": 2113 }, { "epoch": 19.39, "learning_rate": 2.0833333333333333e-05, "loss": 0.1105, "step": 2114 }, { "epoch": 19.4, "learning_rate": 2.0535714285714285e-05, "loss": 0.1027, "step": 2115 }, { "epoch": 19.41, "learning_rate": 2.023809523809524e-05, "loss": 0.1025, "step": 2116 }, { "epoch": 19.42, "learning_rate": 1.994047619047619e-05, "loss": 0.0798, "step": 2117 }, { "epoch": 19.43, "learning_rate": 1.964285714285714e-05, "loss": 0.1065, "step": 2118 }, { "epoch": 19.44, "learning_rate": 1.9345238095238097e-05, "loss": 0.1064, "step": 2119 }, { "epoch": 19.45, "learning_rate": 1.904761904761905e-05, "loss": 0.0863, "step": 2120 }, { "epoch": 19.46, "learning_rate": 1.875e-05, "loss": 0.08, "step": 2121 }, { "epoch": 19.47, "learning_rate": 1.8452380952380954e-05, "loss": 0.0492, "step": 2122 }, { "epoch": 19.48, "learning_rate": 1.8154761904761906e-05, "loss": 0.0425, "step": 2123 }, { "epoch": 19.49, "learning_rate": 1.7857142857142855e-05, "loss": 0.0471, "step": 2124 }, { "epoch": 19.5, "learning_rate": 1.755952380952381e-05, "loss": 0.1172, "step": 2125 }, { "epoch": 19.5, "learning_rate": 1.7261904761904763e-05, "loss": 0.0696, "step": 2126 }, { "epoch": 19.51, "learning_rate": 1.6964285714285712e-05, "loss": 0.0558, "step": 2127 }, { "epoch": 19.52, "learning_rate": 1.6666666666666667e-05, "loss": 0.0858, "step": 2128 }, { "epoch": 19.53, "learning_rate": 1.636904761904762e-05, "loss": 0.1149, "step": 2129 }, { "epoch": 19.54, "learning_rate": 1.607142857142857e-05, "loss": 0.0495, "step": 2130 }, { "epoch": 19.55, "learning_rate": 1.5773809523809524e-05, "loss": 0.1075, "step": 2131 }, { "epoch": 19.56, "learning_rate": 1.5476190476190476e-05, "loss": 0.0984, "step": 2132 }, { "epoch": 19.57, "learning_rate": 1.5178571428571429e-05, "loss": 0.0769, "step": 2133 }, { "epoch": 19.58, "learning_rate": 1.4880952380952381e-05, "loss": 0.0844, "step": 2134 }, { "epoch": 19.59, "learning_rate": 1.4583333333333333e-05, "loss": 0.043, "step": 2135 }, { "epoch": 19.6, "learning_rate": 1.4285714285714285e-05, "loss": 0.0487, "step": 2136 }, { "epoch": 19.61, "learning_rate": 1.398809523809524e-05, "loss": 0.0803, "step": 2137 }, { "epoch": 19.61, "learning_rate": 1.369047619047619e-05, "loss": 0.068, "step": 2138 }, { "epoch": 19.62, "learning_rate": 1.3392857142857142e-05, "loss": 0.1138, "step": 2139 }, { "epoch": 19.63, "learning_rate": 1.3095238095238096e-05, "loss": 0.0654, "step": 2140 }, { "epoch": 19.64, "learning_rate": 1.2797619047619048e-05, "loss": 0.0612, "step": 2141 }, { "epoch": 19.65, "learning_rate": 1.25e-05, "loss": 0.077, "step": 2142 }, { "epoch": 19.66, "learning_rate": 1.2202380952380953e-05, "loss": 0.0798, "step": 2143 }, { "epoch": 19.67, "learning_rate": 1.1904761904761905e-05, "loss": 0.0549, "step": 2144 }, { "epoch": 19.68, "learning_rate": 1.1607142857142857e-05, "loss": 0.1398, "step": 2145 }, { "epoch": 19.69, "learning_rate": 1.130952380952381e-05, "loss": 0.1274, "step": 2146 }, { "epoch": 19.7, "learning_rate": 1.1011904761904764e-05, "loss": 0.0733, "step": 2147 }, { "epoch": 19.71, "learning_rate": 1.0714285714285714e-05, "loss": 0.1126, "step": 2148 }, { "epoch": 19.72, "learning_rate": 1.0416666666666666e-05, "loss": 0.1228, "step": 2149 }, { "epoch": 19.72, "learning_rate": 1.011904761904762e-05, "loss": 0.0837, "step": 2150 }, { "epoch": 19.73, "learning_rate": 9.82142857142857e-06, "loss": 0.0424, "step": 2151 }, { "epoch": 19.74, "learning_rate": 9.523809523809525e-06, "loss": 0.0918, "step": 2152 }, { "epoch": 19.75, "learning_rate": 9.226190476190477e-06, "loss": 0.0414, "step": 2153 }, { "epoch": 19.76, "learning_rate": 8.928571428571428e-06, "loss": 0.0876, "step": 2154 }, { "epoch": 19.77, "learning_rate": 8.630952380952381e-06, "loss": 0.0931, "step": 2155 }, { "epoch": 19.78, "learning_rate": 8.333333333333334e-06, "loss": 0.0784, "step": 2156 }, { "epoch": 19.79, "learning_rate": 8.035714285714284e-06, "loss": 0.0839, "step": 2157 }, { "epoch": 19.8, "learning_rate": 7.738095238095238e-06, "loss": 0.1082, "step": 2158 }, { "epoch": 19.81, "learning_rate": 7.4404761904761905e-06, "loss": 0.0608, "step": 2159 }, { "epoch": 19.82, "learning_rate": 7.142857142857143e-06, "loss": 0.1029, "step": 2160 }, { "epoch": 19.83, "learning_rate": 6.845238095238095e-06, "loss": 0.09, "step": 2161 }, { "epoch": 19.83, "learning_rate": 6.547619047619048e-06, "loss": 0.0542, "step": 2162 }, { "epoch": 19.84, "learning_rate": 6.25e-06, "loss": 0.1051, "step": 2163 }, { "epoch": 19.85, "learning_rate": 5.9523809523809525e-06, "loss": 0.1139, "step": 2164 }, { "epoch": 19.86, "learning_rate": 5.654761904761905e-06, "loss": 0.1148, "step": 2165 }, { "epoch": 19.87, "learning_rate": 5.357142857142857e-06, "loss": 0.0877, "step": 2166 }, { "epoch": 19.88, "learning_rate": 5.05952380952381e-06, "loss": 0.0984, "step": 2167 }, { "epoch": 19.89, "learning_rate": 4.761904761904762e-06, "loss": 0.082, "step": 2168 }, { "epoch": 19.9, "learning_rate": 4.464285714285714e-06, "loss": 0.1127, "step": 2169 }, { "epoch": 19.91, "learning_rate": 4.166666666666667e-06, "loss": 0.0601, "step": 2170 }, { "epoch": 19.92, "learning_rate": 3.869047619047619e-06, "loss": 0.1223, "step": 2171 }, { "epoch": 19.93, "learning_rate": 3.5714285714285714e-06, "loss": 0.0218, "step": 2172 }, { "epoch": 19.94, "learning_rate": 3.273809523809524e-06, "loss": 0.0562, "step": 2173 }, { "epoch": 19.94, "learning_rate": 2.9761904761904763e-06, "loss": 0.0542, "step": 2174 }, { "epoch": 19.95, "learning_rate": 2.6785714285714285e-06, "loss": 0.0911, "step": 2175 }, { "epoch": 19.96, "learning_rate": 2.380952380952381e-06, "loss": 0.1105, "step": 2176 }, { "epoch": 19.97, "learning_rate": 2.0833333333333334e-06, "loss": 0.054, "step": 2177 }, { "epoch": 19.98, "learning_rate": 1.7857142857142857e-06, "loss": 0.1336, "step": 2178 }, { "epoch": 19.99, "learning_rate": 1.4880952380952381e-06, "loss": 0.0786, "step": 2179 }, { "epoch": 20.0, "learning_rate": 1.1904761904761906e-06, "loss": 0.1093, "step": 2180 }, { "epoch": 20.0, "step": 2180, "total_flos": 8.762439478066282e+18, "train_loss": 1.8342130993945747, "train_runtime": 2886.3244, "train_samples_per_second": 24.1, "train_steps_per_second": 0.755 } ], "max_steps": 2180, "num_train_epochs": 20, "total_flos": 8.762439478066282e+18, "trial_name": null, "trial_params": null }