diff --git "a/trainer_state.json" "b/trainer_state.json" --- "a/trainer_state.json" +++ "b/trainer_state.json" @@ -1,8 +1,8 @@ { "best_metric": null, "best_model_checkpoint": null, - "epoch": 0.9987389659520807, - "global_step": 297, + "epoch": 1.0, + "global_step": 1784, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, @@ -10,1796 +10,10745 @@ { "epoch": 0.0, "learning_rate": 0.0, - "loss": 8.889, + "loss": 9.1616, "step": 1 }, { - "epoch": 0.01, + "epoch": 0.0, "learning_rate": 0.0, - "loss": 8.8304, + "loss": 9.4498, "step": 2 }, { - "epoch": 0.01, + "epoch": 0.0, "learning_rate": 0.0, - "loss": 8.8708, + "loss": 9.2391, "step": 3 }, { - "epoch": 0.01, - "learning_rate": 6.000000000000001e-08, - "loss": 8.8472, + "epoch": 0.0, + "learning_rate": 0.0, + "loss": 9.3924, "step": 4 }, { - "epoch": 0.02, - "learning_rate": 1.2000000000000002e-07, - "loss": 8.7009, + "epoch": 0.0, + "learning_rate": 2.0000000000000002e-07, + "loss": 8.6141, "step": 5 }, { - "epoch": 0.02, - "learning_rate": 1.8e-07, - "loss": 8.7831, + "epoch": 0.0, + "learning_rate": 4.0000000000000003e-07, + "loss": 8.8045, "step": 6 }, { - "epoch": 0.02, - "learning_rate": 2.4000000000000003e-07, - "loss": 8.9204, + "epoch": 0.0, + "learning_rate": 6.000000000000001e-07, + "loss": 8.6125, "step": 7 }, { - "epoch": 0.03, - "learning_rate": 3.0000000000000004e-07, - "loss": 8.7855, + "epoch": 0.0, + "learning_rate": 8.000000000000001e-07, + "loss": 8.7679, "step": 8 }, { - "epoch": 0.03, - "learning_rate": 3.0000000000000004e-07, - "loss": 8.996, + "epoch": 0.01, + "learning_rate": 8.000000000000001e-07, + "loss": 9.4533, "step": 9 }, { - "epoch": 0.03, - "learning_rate": 3.6e-07, - "loss": 8.7342, + "epoch": 0.01, + "learning_rate": 1.0000000000000002e-06, + "loss": 8.8176, "step": 10 }, { - "epoch": 0.04, - "learning_rate": 4.2e-07, - "loss": 8.658, + "epoch": 0.01, + "learning_rate": 1.2000000000000002e-06, + "loss": 8.4298, "step": 11 }, { - "epoch": 0.04, - "learning_rate": 4.800000000000001e-07, - "loss": 8.6911, + "epoch": 0.01, + "learning_rate": 1.4000000000000001e-06, + "loss": 9.173, "step": 12 }, { - "epoch": 0.04, - "learning_rate": 5.4e-07, - "loss": 8.6838, + "epoch": 0.01, + "learning_rate": 1.6000000000000001e-06, + "loss": 8.6383, "step": 13 }, { - "epoch": 0.05, - "learning_rate": 6.000000000000001e-07, - "loss": 8.6734, + "epoch": 0.01, + "learning_rate": 1.8e-06, + "loss": 8.5711, "step": 14 }, { - "epoch": 0.05, - "learning_rate": 6.599999999999999e-07, - "loss": 8.552, + "epoch": 0.01, + "learning_rate": 2.0000000000000003e-06, + "loss": 8.3087, "step": 15 }, { - "epoch": 0.05, - "learning_rate": 7.2e-07, - "loss": 8.3643, + "epoch": 0.01, + "learning_rate": 2.2e-06, + "loss": 8.0666, "step": 16 }, { - "epoch": 0.06, - "learning_rate": 7.799999999999999e-07, - "loss": 8.3339, + "epoch": 0.01, + "learning_rate": 2.2e-06, + "loss": 8.0747, "step": 17 }, { - "epoch": 0.06, - "learning_rate": 8.4e-07, - "loss": 8.3624, + "epoch": 0.01, + "learning_rate": 2.2e-06, + "loss": 8.0492, "step": 18 }, { - "epoch": 0.06, - "learning_rate": 9e-07, - "loss": 8.2912, + "epoch": 0.01, + "learning_rate": 2.4000000000000003e-06, + "loss": 8.2339, "step": 19 }, { - "epoch": 0.07, - "learning_rate": 9.600000000000001e-07, - "loss": 8.2759, + "epoch": 0.01, + "learning_rate": 2.6e-06, + "loss": 8.2345, "step": 20 }, { - "epoch": 0.07, - "learning_rate": 1.0200000000000002e-06, - "loss": 8.1023, + "epoch": 0.01, + "learning_rate": 2.8000000000000003e-06, + "loss": 8.041, "step": 21 }, { - "epoch": 0.07, - "learning_rate": 1.08e-06, - "loss": 8.1226, + "epoch": 0.01, + "learning_rate": 3e-06, + "loss": 8.0229, "step": 22 }, { - "epoch": 0.08, - "learning_rate": 1.14e-06, - "loss": 7.9866, + "epoch": 0.01, + "learning_rate": 3.2000000000000003e-06, + "loss": 8.4345, "step": 23 }, { - "epoch": 0.08, - "learning_rate": 1.2000000000000002e-06, - "loss": 8.1126, + "epoch": 0.01, + "learning_rate": 3.4000000000000005e-06, + "loss": 8.2216, "step": 24 }, { - "epoch": 0.08, - "learning_rate": 1.26e-06, - "loss": 8.0722, + "epoch": 0.01, + "learning_rate": 3.6e-06, + "loss": 8.0237, "step": 25 }, { - "epoch": 0.09, - "learning_rate": 1.3199999999999999e-06, - "loss": 7.9731, + "epoch": 0.01, + "learning_rate": 3.8e-06, + "loss": 8.4366, "step": 26 }, { - "epoch": 0.09, - "learning_rate": 1.38e-06, - "loss": 7.8968, + "epoch": 0.02, + "learning_rate": 4.000000000000001e-06, + "loss": 7.9684, "step": 27 }, { - "epoch": 0.09, - "learning_rate": 1.44e-06, - "loss": 7.8195, + "epoch": 0.02, + "learning_rate": 4.2000000000000004e-06, + "loss": 7.8959, "step": 28 }, { - "epoch": 0.1, - "learning_rate": 1.5e-06, - "loss": 7.7153, + "epoch": 0.02, + "learning_rate": 4.4e-06, + "loss": 8.0038, "step": 29 }, { - "epoch": 0.1, - "learning_rate": 1.5599999999999999e-06, - "loss": 7.7519, + "epoch": 0.02, + "learning_rate": 4.6e-06, + "loss": 8.6603, "step": 30 }, { - "epoch": 0.1, - "learning_rate": 1.62e-06, - "loss": 7.7105, + "epoch": 0.02, + "learning_rate": 4.800000000000001e-06, + "loss": 8.447, "step": 31 }, { - "epoch": 0.11, - "learning_rate": 1.68e-06, - "loss": 7.7445, + "epoch": 0.02, + "learning_rate": 5e-06, + "loss": 7.8605, "step": 32 }, { - "epoch": 0.11, - "learning_rate": 1.74e-06, - "loss": 7.629, + "epoch": 0.02, + "learning_rate": 5.2e-06, + "loss": 7.7414, "step": 33 }, { - "epoch": 0.11, - "learning_rate": 1.8e-06, - "loss": 7.5415, + "epoch": 0.02, + "learning_rate": 5.4e-06, + "loss": 7.6243, "step": 34 }, { - "epoch": 0.12, - "learning_rate": 1.86e-06, - "loss": 7.5895, + "epoch": 0.02, + "learning_rate": 5.600000000000001e-06, + "loss": 7.6788, "step": 35 }, { - "epoch": 0.12, - "learning_rate": 1.9200000000000003e-06, - "loss": 7.5373, + "epoch": 0.02, + "learning_rate": 5.8e-06, + "loss": 7.6921, "step": 36 }, { - "epoch": 0.12, - "learning_rate": 1.98e-06, - "loss": 7.5932, + "epoch": 0.02, + "learning_rate": 6e-06, + "loss": 7.4842, "step": 37 }, { - "epoch": 0.13, - "learning_rate": 2.0400000000000004e-06, - "loss": 7.5453, + "epoch": 0.02, + "learning_rate": 6.2e-06, + "loss": 7.6418, "step": 38 }, { - "epoch": 0.13, - "learning_rate": 2.1000000000000002e-06, - "loss": 7.5879, + "epoch": 0.02, + "learning_rate": 6.4000000000000006e-06, + "loss": 7.8088, "step": 39 }, { - "epoch": 0.13, - "learning_rate": 2.16e-06, - "loss": 7.5368, + "epoch": 0.02, + "learning_rate": 6.6e-06, + "loss": 7.5394, "step": 40 }, { - "epoch": 0.14, - "learning_rate": 2.22e-06, - "loss": 7.6058, + "epoch": 0.02, + "learning_rate": 6.800000000000001e-06, + "loss": 7.5118, "step": 41 }, { - "epoch": 0.14, - "learning_rate": 2.28e-06, - "loss": 7.5286, + "epoch": 0.02, + "learning_rate": 7.000000000000001e-06, + "loss": 7.4209, "step": 42 }, { - "epoch": 0.14, - "learning_rate": 2.34e-06, - "loss": 7.4283, + "epoch": 0.02, + "learning_rate": 7.2e-06, + "loss": 7.6998, "step": 43 }, { - "epoch": 0.15, - "learning_rate": 2.4000000000000003e-06, - "loss": 7.6536, + "epoch": 0.02, + "learning_rate": 7.4e-06, + "loss": 7.4258, "step": 44 }, { - "epoch": 0.15, - "learning_rate": 2.46e-06, - "loss": 7.5623, + "epoch": 0.03, + "learning_rate": 7.6e-06, + "loss": 7.7456, "step": 45 }, { - "epoch": 0.15, - "learning_rate": 2.52e-06, - "loss": 7.5319, + "epoch": 0.03, + "learning_rate": 7.8e-06, + "loss": 7.5286, "step": 46 }, { - "epoch": 0.16, - "learning_rate": 2.58e-06, - "loss": 7.6, + "epoch": 0.03, + "learning_rate": 8.000000000000001e-06, + "loss": 7.4229, "step": 47 }, { - "epoch": 0.16, - "learning_rate": 2.6399999999999997e-06, - "loss": 7.5462, + "epoch": 0.03, + "learning_rate": 8.200000000000001e-06, + "loss": 7.7719, "step": 48 }, { - "epoch": 0.16, - "learning_rate": 2.7e-06, - "loss": 7.5795, + "epoch": 0.03, + "learning_rate": 8.400000000000001e-06, + "loss": 7.5256, "step": 49 }, { - "epoch": 0.17, - "learning_rate": 2.76e-06, - "loss": 7.5914, + "epoch": 0.03, + "learning_rate": 8.599999999999999e-06, + "loss": 7.7009, "step": 50 }, { - "epoch": 0.17, - "learning_rate": 2.82e-06, - "loss": 7.3664, + "epoch": 0.03, + "learning_rate": 8.8e-06, + "loss": 7.3338, "step": 51 }, { - "epoch": 0.17, - "learning_rate": 2.88e-06, - "loss": 7.3437, + "epoch": 0.03, + "learning_rate": 9e-06, + "loss": 7.4398, "step": 52 }, { - "epoch": 0.18, - "learning_rate": 2.9400000000000002e-06, - "loss": 7.2641, + "epoch": 0.03, + "learning_rate": 9.2e-06, + "loss": 7.2253, "step": 53 }, { - "epoch": 0.18, - "learning_rate": 3e-06, - "loss": 7.2696, + "epoch": 0.03, + "learning_rate": 9.4e-06, + "loss": 7.3027, "step": 54 }, { - "epoch": 0.18, - "learning_rate": 3.06e-06, - "loss": 7.2381, + "epoch": 0.03, + "learning_rate": 9.600000000000001e-06, + "loss": 7.5319, "step": 55 }, { - "epoch": 0.19, - "learning_rate": 3.1199999999999998e-06, - "loss": 7.2935, + "epoch": 0.03, + "learning_rate": 9.800000000000001e-06, + "loss": 7.2412, "step": 56 }, { - "epoch": 0.19, - "learning_rate": 3.18e-06, - "loss": 7.3188, + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 7.1937, "step": 57 }, { - "epoch": 0.2, - "learning_rate": 3.24e-06, - "loss": 7.3463, + "epoch": 0.03, + "learning_rate": 1.02e-05, + "loss": 7.1008, "step": 58 }, { - "epoch": 0.2, - "learning_rate": 3.3e-06, - "loss": 7.2282, + "epoch": 0.03, + "learning_rate": 1.04e-05, + "loss": 7.1326, "step": 59 }, { - "epoch": 0.2, - "learning_rate": 3.36e-06, - "loss": 7.2696, + "epoch": 0.03, + "learning_rate": 1.06e-05, + "loss": 7.167, "step": 60 }, { - "epoch": 0.21, - "learning_rate": 3.4200000000000003e-06, - "loss": 7.1984, + "epoch": 0.03, + "learning_rate": 1.08e-05, + "loss": 7.301, "step": 61 }, { - "epoch": 0.21, - "learning_rate": 3.48e-06, - "loss": 7.1072, + "epoch": 0.03, + "learning_rate": 1.1000000000000001e-05, + "loss": 7.2863, "step": 62 }, { - "epoch": 0.21, - "learning_rate": 3.54e-06, - "loss": 7.2887, + "epoch": 0.04, + "learning_rate": 1.1200000000000001e-05, + "loss": 7.3227, "step": 63 }, { - "epoch": 0.22, - "learning_rate": 3.6e-06, - "loss": 7.2358, + "epoch": 0.04, + "learning_rate": 1.1400000000000001e-05, + "loss": 7.2021, "step": 64 }, { - "epoch": 0.22, - "learning_rate": 3.66e-06, - "loss": 7.2417, + "epoch": 0.04, + "learning_rate": 1.16e-05, + "loss": 7.1497, "step": 65 }, { - "epoch": 0.22, - "learning_rate": 3.72e-06, - "loss": 7.2254, + "epoch": 0.04, + "learning_rate": 1.18e-05, + "loss": 7.1492, "step": 66 }, { - "epoch": 0.23, - "learning_rate": 3.7800000000000002e-06, - "loss": 7.2706, + "epoch": 0.04, + "learning_rate": 1.2e-05, + "loss": 7.1561, "step": 67 }, { - "epoch": 0.23, - "learning_rate": 3.8400000000000005e-06, - "loss": 7.1927, + "epoch": 0.04, + "learning_rate": 1.22e-05, + "loss": 7.1566, "step": 68 }, { - "epoch": 0.23, - "learning_rate": 3.9e-06, - "loss": 7.2085, + "epoch": 0.04, + "learning_rate": 1.24e-05, + "loss": 7.232, "step": 69 }, { - "epoch": 0.24, - "learning_rate": 3.96e-06, - "loss": 7.2298, + "epoch": 0.04, + "learning_rate": 1.2600000000000001e-05, + "loss": 7.0286, "step": 70 }, { - "epoch": 0.24, - "learning_rate": 4.0200000000000005e-06, - "loss": 7.156, + "epoch": 0.04, + "learning_rate": 1.2800000000000001e-05, + "loss": 7.1423, "step": 71 }, { - "epoch": 0.24, - "learning_rate": 4.080000000000001e-06, - "loss": 7.2131, + "epoch": 0.04, + "learning_rate": 1.3000000000000001e-05, + "loss": 7.1052, "step": 72 }, { - "epoch": 0.25, - "learning_rate": 4.14e-06, - "loss": 7.2013, + "epoch": 0.04, + "learning_rate": 1.32e-05, + "loss": 7.1983, "step": 73 }, { - "epoch": 0.25, - "learning_rate": 4.2000000000000004e-06, - "loss": 7.1922, + "epoch": 0.04, + "learning_rate": 1.3400000000000002e-05, + "loss": 7.0521, "step": 74 }, { - "epoch": 0.25, - "learning_rate": 4.26e-06, - "loss": 7.2448, + "epoch": 0.04, + "learning_rate": 1.3600000000000002e-05, + "loss": 7.3371, "step": 75 }, { - "epoch": 0.26, - "learning_rate": 4.32e-06, - "loss": 7.1911, + "epoch": 0.04, + "learning_rate": 1.3800000000000002e-05, + "loss": 7.1316, "step": 76 }, { - "epoch": 0.26, - "learning_rate": 4.3799999999999996e-06, - "loss": 7.1303, + "epoch": 0.04, + "learning_rate": 1.4000000000000001e-05, + "loss": 7.2627, "step": 77 }, { - "epoch": 0.26, - "learning_rate": 4.44e-06, - "loss": 7.2067, + "epoch": 0.04, + "learning_rate": 1.42e-05, + "loss": 7.0736, "step": 78 }, { - "epoch": 0.27, - "learning_rate": 4.5e-06, - "loss": 7.1918, + "epoch": 0.04, + "learning_rate": 1.44e-05, + "loss": 7.0296, "step": 79 }, { - "epoch": 0.27, - "learning_rate": 4.56e-06, - "loss": 7.2269, + "epoch": 0.04, + "learning_rate": 1.4599999999999999e-05, + "loss": 7.0002, "step": 80 }, { - "epoch": 0.27, - "learning_rate": 4.62e-06, - "loss": 7.1346, + "epoch": 0.05, + "learning_rate": 1.48e-05, + "loss": 7.1856, "step": 81 }, { - "epoch": 0.28, - "learning_rate": 4.68e-06, - "loss": 7.2346, + "epoch": 0.05, + "learning_rate": 1.5e-05, + "loss": 7.2838, "step": 82 }, { - "epoch": 0.28, - "learning_rate": 4.74e-06, - "loss": 7.1372, + "epoch": 0.05, + "learning_rate": 1.52e-05, + "loss": 6.9796, "step": 83 }, { - "epoch": 0.28, - "learning_rate": 4.800000000000001e-06, - "loss": 7.194, + "epoch": 0.05, + "learning_rate": 1.54e-05, + "loss": 7.0743, "step": 84 }, { - "epoch": 0.29, - "learning_rate": 4.86e-06, - "loss": 7.2357, + "epoch": 0.05, + "learning_rate": 1.56e-05, + "loss": 7.1287, "step": 85 }, { - "epoch": 0.29, - "learning_rate": 4.92e-06, - "loss": 7.1294, + "epoch": 0.05, + "learning_rate": 1.58e-05, + "loss": 7.1552, "step": 86 }, { - "epoch": 0.29, - "learning_rate": 4.980000000000001e-06, - "loss": 7.1368, + "epoch": 0.05, + "learning_rate": 1.6000000000000003e-05, + "loss": 7.2126, "step": 87 }, { - "epoch": 0.3, - "learning_rate": 5.04e-06, - "loss": 7.1945, + "epoch": 0.05, + "learning_rate": 1.62e-05, + "loss": 7.1017, "step": 88 }, { - "epoch": 0.3, - "learning_rate": 5.1e-06, - "loss": 7.117, + "epoch": 0.05, + "learning_rate": 1.6400000000000002e-05, + "loss": 7.1621, "step": 89 }, { - "epoch": 0.3, - "learning_rate": 5.16e-06, - "loss": 7.2208, + "epoch": 0.05, + "learning_rate": 1.66e-05, + "loss": 6.9273, "step": 90 }, { - "epoch": 0.31, - "learning_rate": 5.22e-06, - "loss": 7.1461, + "epoch": 0.05, + "learning_rate": 1.6800000000000002e-05, + "loss": 7.2059, "step": 91 }, { - "epoch": 0.31, - "learning_rate": 5.279999999999999e-06, - "loss": 7.3041, + "epoch": 0.05, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8581, "step": 92 }, { - "epoch": 0.31, - "learning_rate": 5.34e-06, - "loss": 7.1326, + "epoch": 0.05, + "learning_rate": 1.7199999999999998e-05, + "loss": 6.9326, "step": 93 }, { - "epoch": 0.32, - "learning_rate": 5.4e-06, - "loss": 7.0748, + "epoch": 0.05, + "learning_rate": 1.74e-05, + "loss": 7.2143, "step": 94 }, { - "epoch": 0.32, - "learning_rate": 5.46e-06, - "loss": 6.9675, + "epoch": 0.05, + "learning_rate": 1.76e-05, + "loss": 7.1836, "step": 95 }, { - "epoch": 0.32, - "learning_rate": 5.52e-06, - "loss": 7.1709, + "epoch": 0.05, + "learning_rate": 1.78e-05, + "loss": 6.9605, "step": 96 }, { - "epoch": 0.33, - "learning_rate": 5.58e-06, - "loss": 7.0904, + "epoch": 0.05, + "learning_rate": 1.8e-05, + "loss": 6.8981, "step": 97 }, { - "epoch": 0.33, - "learning_rate": 5.64e-06, - "loss": 7.0292, + "epoch": 0.05, + "learning_rate": 1.8200000000000002e-05, + "loss": 6.6154, "step": 98 }, { - "epoch": 0.33, - "learning_rate": 5.7000000000000005e-06, - "loss": 6.8978, + "epoch": 0.06, + "learning_rate": 1.84e-05, + "loss": 6.9042, "step": 99 }, { - "epoch": 0.34, - "learning_rate": 5.76e-06, - "loss": 6.7386, + "epoch": 0.06, + "learning_rate": 1.86e-05, + "loss": 6.7094, "step": 100 }, { - "epoch": 0.34, - "learning_rate": 5.82e-06, - "loss": 7.2255, + "epoch": 0.06, + "learning_rate": 1.88e-05, + "loss": 7.3051, "step": 101 }, { - "epoch": 0.34, - "learning_rate": 5.8800000000000005e-06, - "loss": 7.2272, + "epoch": 0.06, + "learning_rate": 1.9e-05, + "loss": 7.2407, "step": 102 }, { - "epoch": 0.35, - "learning_rate": 5.940000000000001e-06, - "loss": 7.1543, + "epoch": 0.06, + "learning_rate": 1.9200000000000003e-05, + "loss": 7.2231, "step": 103 }, { - "epoch": 0.35, - "learning_rate": 6e-06, - "loss": 7.1046, - "step": 104 + "epoch": 0.06, + "learning_rate": 1.94e-05, + "loss": 7.1201, + "step": 104 }, { - "epoch": 0.35, - "learning_rate": 6.0600000000000004e-06, - "loss": 7.1356, + "epoch": 0.06, + "learning_rate": 1.9600000000000002e-05, + "loss": 7.0411, "step": 105 }, { - "epoch": 0.36, - "learning_rate": 6.12e-06, - "loss": 7.1201, + "epoch": 0.06, + "learning_rate": 1.9800000000000004e-05, + "loss": 6.9956, "step": 106 }, { - "epoch": 0.36, - "learning_rate": 6.18e-06, - "loss": 7.1179, + "epoch": 0.06, + "learning_rate": 2e-05, + "loss": 7.4416, "step": 107 }, { - "epoch": 0.36, - "learning_rate": 6.2399999999999995e-06, - "loss": 7.1474, + "epoch": 0.06, + "learning_rate": 2.0200000000000003e-05, + "loss": 7.1068, "step": 108 }, { - "epoch": 0.37, - "learning_rate": 6.3e-06, - "loss": 7.1413, + "epoch": 0.06, + "learning_rate": 2.04e-05, + "loss": 6.9827, "step": 109 }, { - "epoch": 0.37, - "learning_rate": 6.36e-06, - "loss": 7.148, + "epoch": 0.06, + "learning_rate": 2.06e-05, + "loss": 7.1509, "step": 110 }, { - "epoch": 0.37, - "learning_rate": 6.42e-06, - "loss": 7.1286, + "epoch": 0.06, + "learning_rate": 2.08e-05, + "loss": 6.9555, "step": 111 }, { - "epoch": 0.38, - "learning_rate": 6.48e-06, - "loss": 7.1098, + "epoch": 0.06, + "learning_rate": 2.1e-05, + "loss": 6.8866, "step": 112 }, { - "epoch": 0.38, - "learning_rate": 6.54e-06, - "loss": 7.0648, + "epoch": 0.06, + "learning_rate": 2.12e-05, + "loss": 7.1114, "step": 113 }, { - "epoch": 0.38, - "learning_rate": 6.6e-06, - "loss": 7.0697, + "epoch": 0.06, + "learning_rate": 2.1400000000000002e-05, + "loss": 7.1804, "step": 114 }, { - "epoch": 0.39, - "learning_rate": 6.660000000000001e-06, - "loss": 7.0634, + "epoch": 0.06, + "learning_rate": 2.16e-05, + "loss": 7.0321, "step": 115 }, { - "epoch": 0.39, - "learning_rate": 6.72e-06, - "loss": 7.1039, + "epoch": 0.07, + "learning_rate": 2.18e-05, + "loss": 7.1007, "step": 116 }, { - "epoch": 0.39, - "learning_rate": 6.78e-06, - "loss": 7.0493, + "epoch": 0.07, + "learning_rate": 2.2000000000000003e-05, + "loss": 7.1832, "step": 117 }, { - "epoch": 0.4, - "learning_rate": 6.840000000000001e-06, - "loss": 7.0045, + "epoch": 0.07, + "learning_rate": 2.22e-05, + "loss": 6.944, "step": 118 }, { - "epoch": 0.4, - "learning_rate": 6.900000000000001e-06, - "loss": 7.06, + "epoch": 0.07, + "learning_rate": 2.2400000000000002e-05, + "loss": 7.041, "step": 119 }, { - "epoch": 0.4, - "learning_rate": 6.96e-06, - "loss": 7.1162, + "epoch": 0.07, + "learning_rate": 2.26e-05, + "loss": 7.0734, "step": 120 }, { - "epoch": 0.41, - "learning_rate": 7.0200000000000006e-06, - "loss": 7.1069, + "epoch": 0.07, + "learning_rate": 2.2800000000000002e-05, + "loss": 7.2399, "step": 121 }, { - "epoch": 0.41, - "learning_rate": 7.08e-06, - "loss": 7.1361, + "epoch": 0.07, + "learning_rate": 2.3000000000000003e-05, + "loss": 7.1685, "step": 122 }, { - "epoch": 0.41, - "learning_rate": 7.14e-06, - "loss": 7.0522, + "epoch": 0.07, + "learning_rate": 2.32e-05, + "loss": 7.1381, "step": 123 }, { - "epoch": 0.42, - "learning_rate": 7.2e-06, - "loss": 7.1425, + "epoch": 0.07, + "learning_rate": 2.3400000000000003e-05, + "loss": 7.1588, "step": 124 }, { - "epoch": 0.42, - "learning_rate": 7.26e-06, - "loss": 7.122, + "epoch": 0.07, + "learning_rate": 2.36e-05, + "loss": 6.83, "step": 125 }, { - "epoch": 0.42, - "learning_rate": 7.32e-06, - "loss": 7.0333, + "epoch": 0.07, + "learning_rate": 2.38e-05, + "loss": 7.3076, "step": 126 }, { - "epoch": 0.43, - "learning_rate": 7.3800000000000005e-06, - "loss": 7.1291, + "epoch": 0.07, + "learning_rate": 2.4e-05, + "loss": 7.0183, "step": 127 }, { - "epoch": 0.43, - "learning_rate": 7.44e-06, - "loss": 7.031, + "epoch": 0.07, + "learning_rate": 2.4200000000000002e-05, + "loss": 7.0584, "step": 128 }, { - "epoch": 0.43, - "learning_rate": 7.5e-06, - "loss": 7.0702, + "epoch": 0.07, + "learning_rate": 2.44e-05, + "loss": 6.9407, "step": 129 }, { - "epoch": 0.44, - "learning_rate": 7.5600000000000005e-06, - "loss": 7.1561, + "epoch": 0.07, + "learning_rate": 2.46e-05, + "loss": 6.9684, "step": 130 }, { - "epoch": 0.44, - "learning_rate": 7.62e-06, - "loss": 7.153, + "epoch": 0.07, + "learning_rate": 2.48e-05, + "loss": 7.2447, "step": 131 }, { - "epoch": 0.44, - "learning_rate": 7.680000000000001e-06, - "loss": 6.9336, + "epoch": 0.07, + "learning_rate": 2.5e-05, + "loss": 7.0475, "step": 132 }, { - "epoch": 0.45, - "learning_rate": 7.74e-06, - "loss": 7.0843, + "epoch": 0.07, + "learning_rate": 2.5200000000000003e-05, + "loss": 7.1777, "step": 133 }, { - "epoch": 0.45, - "learning_rate": 7.8e-06, - "loss": 7.0564, + "epoch": 0.08, + "learning_rate": 2.54e-05, + "loss": 6.975, "step": 134 }, { - "epoch": 0.45, - "learning_rate": 7.860000000000001e-06, - "loss": 7.1525, + "epoch": 0.08, + "learning_rate": 2.5600000000000002e-05, + "loss": 6.9606, "step": 135 }, { - "epoch": 0.46, - "learning_rate": 7.92e-06, - "loss": 7.0617, + "epoch": 0.08, + "learning_rate": 2.58e-05, + "loss": 7.212, "step": 136 }, { - "epoch": 0.46, - "learning_rate": 7.98e-06, - "loss": 7.0104, + "epoch": 0.08, + "learning_rate": 2.6000000000000002e-05, + "loss": 7.0825, "step": 137 }, { - "epoch": 0.46, - "learning_rate": 8.040000000000001e-06, - "loss": 7.0098, + "epoch": 0.08, + "learning_rate": 2.6200000000000003e-05, + "loss": 7.0332, "step": 138 }, { - "epoch": 0.47, - "learning_rate": 8.1e-06, - "loss": 7.0288, + "epoch": 0.08, + "learning_rate": 2.64e-05, + "loss": 7.1766, "step": 139 }, { - "epoch": 0.47, - "learning_rate": 8.160000000000001e-06, - "loss": 7.081, + "epoch": 0.08, + "learning_rate": 2.6600000000000003e-05, + "loss": 7.1125, "step": 140 }, { - "epoch": 0.47, - "learning_rate": 8.220000000000001e-06, - "loss": 7.2109, + "epoch": 0.08, + "learning_rate": 2.6800000000000004e-05, + "loss": 7.29, "step": 141 }, { - "epoch": 0.48, - "learning_rate": 8.28e-06, - "loss": 7.0495, + "epoch": 0.08, + "learning_rate": 2.7000000000000002e-05, + "loss": 7.23, "step": 142 }, { - "epoch": 0.48, - "learning_rate": 8.340000000000001e-06, - "loss": 7.0757, + "epoch": 0.08, + "learning_rate": 2.7200000000000004e-05, + "loss": 6.9397, "step": 143 }, { - "epoch": 0.48, - "learning_rate": 8.400000000000001e-06, - "loss": 7.0424, + "epoch": 0.08, + "learning_rate": 2.7400000000000002e-05, + "loss": 7.0627, "step": 144 }, { - "epoch": 0.49, - "learning_rate": 8.459999999999999e-06, - "loss": 6.9206, + "epoch": 0.08, + "learning_rate": 2.7600000000000003e-05, + "loss": 7.189, "step": 145 }, { - "epoch": 0.49, - "learning_rate": 8.52e-06, - "loss": 6.8338, + "epoch": 0.08, + "learning_rate": 2.7800000000000005e-05, + "loss": 7.0977, "step": 146 }, { - "epoch": 0.49, - "learning_rate": 8.58e-06, - "loss": 6.8781, + "epoch": 0.08, + "learning_rate": 2.8000000000000003e-05, + "loss": 7.0848, "step": 147 }, { - "epoch": 0.5, - "learning_rate": 8.64e-06, - "loss": 6.9345, + "epoch": 0.08, + "learning_rate": 2.8199999999999998e-05, + "loss": 7.0181, "step": 148 }, { - "epoch": 0.5, - "learning_rate": 8.7e-06, - "loss": 6.7973, + "epoch": 0.08, + "learning_rate": 2.84e-05, + "loss": 7.0304, "step": 149 }, { - "epoch": 0.5, - "learning_rate": 8.759999999999999e-06, - "loss": 6.6469, + "epoch": 0.08, + "learning_rate": 2.86e-05, + "loss": 6.2391, "step": 150 }, { - "epoch": 0.51, - "learning_rate": 8.82e-06, - "loss": 7.2513, + "epoch": 0.08, + "learning_rate": 2.88e-05, + "loss": 7.0137, "step": 151 }, { - "epoch": 0.51, - "learning_rate": 8.88e-06, - "loss": 7.1988, + "epoch": 0.09, + "learning_rate": 2.9e-05, + "loss": 7.0504, "step": 152 }, { - "epoch": 0.51, - "learning_rate": 8.939999999999999e-06, - "loss": 7.209, + "epoch": 0.09, + "learning_rate": 2.9199999999999998e-05, + "loss": 6.9482, "step": 153 }, { - "epoch": 0.52, - "learning_rate": 9e-06, - "loss": 7.1933, + "epoch": 0.09, + "learning_rate": 2.94e-05, + "loss": 7.2289, "step": 154 }, { - "epoch": 0.52, - "learning_rate": 9.06e-06, - "loss": 7.1361, + "epoch": 0.09, + "learning_rate": 2.96e-05, + "loss": 6.8602, "step": 155 }, { - "epoch": 0.52, - "learning_rate": 9.12e-06, - "loss": 7.1474, + "epoch": 0.09, + "learning_rate": 2.98e-05, + "loss": 7.1883, "step": 156 }, { - "epoch": 0.53, - "learning_rate": 9.18e-06, - "loss": 7.0345, + "epoch": 0.09, + "learning_rate": 3e-05, + "loss": 7.0202, "step": 157 }, { - "epoch": 0.53, - "learning_rate": 9.24e-06, - "loss": 7.1172, + "epoch": 0.09, + "learning_rate": 3.02e-05, + "loss": 7.017, "step": 158 }, { - "epoch": 0.53, - "learning_rate": 9.3e-06, - "loss": 7.0408, + "epoch": 0.09, + "learning_rate": 3.04e-05, + "loss": 7.0493, "step": 159 }, { - "epoch": 0.54, - "learning_rate": 9.36e-06, - "loss": 7.0592, + "epoch": 0.09, + "learning_rate": 3.06e-05, + "loss": 7.1727, "step": 160 }, { - "epoch": 0.54, - "learning_rate": 9.42e-06, - "loss": 7.0444, + "epoch": 0.09, + "learning_rate": 3.08e-05, + "loss": 7.1512, "step": 161 }, { - "epoch": 0.54, - "learning_rate": 9.48e-06, - "loss": 7.0639, + "epoch": 0.09, + "learning_rate": 3.1e-05, + "loss": 7.2892, "step": 162 }, { - "epoch": 0.55, - "learning_rate": 9.54e-06, - "loss": 7.079, + "epoch": 0.09, + "learning_rate": 3.12e-05, + "loss": 7.0769, "step": 163 }, { - "epoch": 0.55, - "learning_rate": 9.600000000000001e-06, - "loss": 7.0526, + "epoch": 0.09, + "learning_rate": 3.1400000000000004e-05, + "loss": 7.0605, "step": 164 }, { - "epoch": 0.55, - "learning_rate": 9.66e-06, - "loss": 7.0755, + "epoch": 0.09, + "learning_rate": 3.16e-05, + "loss": 7.0695, "step": 165 }, { - "epoch": 0.56, - "learning_rate": 9.72e-06, - "loss": 6.9862, + "epoch": 0.09, + "learning_rate": 3.18e-05, + "loss": 7.1137, "step": 166 }, { - "epoch": 0.56, - "learning_rate": 9.780000000000001e-06, - "loss": 7.0277, + "epoch": 0.09, + "learning_rate": 3.2000000000000005e-05, + "loss": 7.0851, "step": 167 }, { - "epoch": 0.56, - "learning_rate": 9.84e-06, - "loss": 7.0504, + "epoch": 0.09, + "learning_rate": 3.2200000000000003e-05, + "loss": 6.8918, "step": 168 }, { - "epoch": 0.57, - "learning_rate": 9.9e-06, - "loss": 7.0658, + "epoch": 0.09, + "learning_rate": 3.24e-05, + "loss": 6.8247, "step": 169 }, { - "epoch": 0.57, - "learning_rate": 9.960000000000001e-06, - "loss": 7.0983, + "epoch": 0.1, + "learning_rate": 3.26e-05, + "loss": 7.1317, "step": 170 }, { - "epoch": 0.58, - "learning_rate": 1.002e-05, - "loss": 7.0216, + "epoch": 0.1, + "learning_rate": 3.2800000000000004e-05, + "loss": 7.0571, "step": 171 }, { - "epoch": 0.58, - "learning_rate": 1.008e-05, - "loss": 7.0129, + "epoch": 0.1, + "learning_rate": 3.3e-05, + "loss": 6.9825, "step": 172 }, { - "epoch": 0.58, - "learning_rate": 1.0140000000000001e-05, - "loss": 6.9565, + "epoch": 0.1, + "learning_rate": 3.32e-05, + "loss": 6.99, "step": 173 }, { - "epoch": 0.59, - "learning_rate": 1.02e-05, - "loss": 6.8776, + "epoch": 0.1, + "learning_rate": 3.3400000000000005e-05, + "loss": 6.9346, "step": 174 }, { - "epoch": 0.59, - "learning_rate": 1.0260000000000002e-05, - "loss": 7.1386, + "epoch": 0.1, + "learning_rate": 3.3600000000000004e-05, + "loss": 7.0916, "step": 175 }, { - "epoch": 0.59, - "learning_rate": 1.032e-05, - "loss": 7.0078, + "epoch": 0.1, + "learning_rate": 3.38e-05, + "loss": 6.8672, "step": 176 }, { - "epoch": 0.6, - "learning_rate": 1.0379999999999999e-05, - "loss": 7.0659, + "epoch": 0.1, + "learning_rate": 3.4000000000000007e-05, + "loss": 6.8406, "step": 177 }, { - "epoch": 0.6, - "learning_rate": 1.044e-05, - "loss": 7.048, + "epoch": 0.1, + "learning_rate": 3.4200000000000005e-05, + "loss": 6.9888, "step": 178 }, { - "epoch": 0.6, - "learning_rate": 1.05e-05, - "loss": 7.0641, + "epoch": 0.1, + "learning_rate": 3.4399999999999996e-05, + "loss": 6.8488, "step": 179 }, { - "epoch": 0.61, - "learning_rate": 1.0559999999999999e-05, - "loss": 7.0902, + "epoch": 0.1, + "learning_rate": 3.46e-05, + "loss": 6.9961, "step": 180 }, { - "epoch": 0.61, - "learning_rate": 1.062e-05, - "loss": 6.9962, + "epoch": 0.1, + "learning_rate": 3.48e-05, + "loss": 6.8721, "step": 181 }, { - "epoch": 0.61, - "learning_rate": 1.068e-05, - "loss": 7.0124, + "epoch": 0.1, + "learning_rate": 3.5e-05, + "loss": 6.8678, "step": 182 }, { - "epoch": 0.62, - "learning_rate": 1.074e-05, - "loss": 6.9452, + "epoch": 0.1, + "learning_rate": 3.52e-05, + "loss": 7.0781, "step": 183 }, { - "epoch": 0.62, - "learning_rate": 1.08e-05, - "loss": 7.0435, + "epoch": 0.1, + "learning_rate": 3.54e-05, + "loss": 6.7809, "step": 184 }, { - "epoch": 0.62, - "learning_rate": 1.086e-05, - "loss": 7.0237, + "epoch": 0.1, + "learning_rate": 3.56e-05, + "loss": 6.9891, "step": 185 }, { - "epoch": 0.63, - "learning_rate": 1.092e-05, - "loss": 7.0518, + "epoch": 0.1, + "learning_rate": 3.58e-05, + "loss": 6.9271, "step": 186 }, { - "epoch": 0.63, - "learning_rate": 1.098e-05, - "loss": 7.0806, + "epoch": 0.1, + "learning_rate": 3.6e-05, + "loss": 6.8859, "step": 187 }, { - "epoch": 0.63, - "learning_rate": 1.104e-05, - "loss": 7.0405, + "epoch": 0.11, + "learning_rate": 3.62e-05, + "loss": 6.9126, "step": 188 }, { - "epoch": 0.64, - "learning_rate": 1.11e-05, - "loss": 7.0664, + "epoch": 0.11, + "learning_rate": 3.6400000000000004e-05, + "loss": 6.8977, "step": 189 }, { - "epoch": 0.64, - "learning_rate": 1.116e-05, - "loss": 7.1205, + "epoch": 0.11, + "learning_rate": 3.66e-05, + "loss": 6.8927, "step": 190 }, { - "epoch": 0.64, - "learning_rate": 1.1220000000000001e-05, - "loss": 7.0165, + "epoch": 0.11, + "learning_rate": 3.68e-05, + "loss": 7.0939, "step": 191 }, { - "epoch": 0.65, - "learning_rate": 1.128e-05, - "loss": 7.0557, + "epoch": 0.11, + "learning_rate": 3.7e-05, + "loss": 6.7854, "step": 192 }, { - "epoch": 0.65, - "learning_rate": 1.134e-05, - "loss": 6.9645, + "epoch": 0.11, + "learning_rate": 3.72e-05, + "loss": 6.8186, "step": 193 }, { - "epoch": 0.65, - "learning_rate": 1.1400000000000001e-05, - "loss": 6.9475, + "epoch": 0.11, + "learning_rate": 3.74e-05, + "loss": 6.9242, "step": 194 }, { - "epoch": 0.66, - "learning_rate": 1.146e-05, - "loss": 6.9141, + "epoch": 0.11, + "learning_rate": 3.76e-05, + "loss": 6.9644, "step": 195 }, { - "epoch": 0.66, - "learning_rate": 1.152e-05, - "loss": 6.8144, + "epoch": 0.11, + "learning_rate": 3.7800000000000004e-05, + "loss": 6.9289, "step": 196 }, { - "epoch": 0.66, - "learning_rate": 1.1580000000000001e-05, - "loss": 6.8174, + "epoch": 0.11, + "learning_rate": 3.8e-05, + "loss": 6.8825, "step": 197 }, { - "epoch": 0.67, - "learning_rate": 1.164e-05, - "loss": 6.9932, + "epoch": 0.11, + "learning_rate": 3.82e-05, + "loss": 6.6243, "step": 198 }, { - "epoch": 0.67, - "learning_rate": 1.1700000000000001e-05, - "loss": 6.7158, + "epoch": 0.11, + "learning_rate": 3.8400000000000005e-05, + "loss": 6.6316, "step": 199 }, { - "epoch": 0.67, - "learning_rate": 1.1760000000000001e-05, - "loss": 6.5511, + "epoch": 0.11, + "learning_rate": 3.86e-05, + "loss": 6.3754, "step": 200 }, { - "epoch": 0.68, - "learning_rate": 1.182e-05, - "loss": 7.3286, + "epoch": 0.11, + "learning_rate": 3.88e-05, + "loss": 7.1614, "step": 201 }, { - "epoch": 0.68, - "learning_rate": 1.1880000000000001e-05, - "loss": 7.3258, + "epoch": 0.11, + "learning_rate": 3.9000000000000006e-05, + "loss": 6.9473, "step": 202 }, { - "epoch": 0.68, - "learning_rate": 1.1940000000000001e-05, - "loss": 7.2445, + "epoch": 0.11, + "learning_rate": 3.9200000000000004e-05, + "loss": 7.3062, "step": 203 }, { - "epoch": 0.69, - "learning_rate": 1.2e-05, - "loss": 7.1024, + "epoch": 0.11, + "learning_rate": 3.94e-05, + "loss": 6.8621, "step": 204 }, { - "epoch": 0.69, - "learning_rate": 1.2060000000000001e-05, - "loss": 7.1517, + "epoch": 0.11, + "learning_rate": 3.960000000000001e-05, + "loss": 6.8983, "step": 205 }, { - "epoch": 0.69, - "learning_rate": 1.2120000000000001e-05, - "loss": 7.0302, + "epoch": 0.12, + "learning_rate": 3.9800000000000005e-05, + "loss": 7.0148, "step": 206 }, { - "epoch": 0.7, - "learning_rate": 1.2180000000000002e-05, - "loss": 6.9979, + "epoch": 0.12, + "learning_rate": 4e-05, + "loss": 7.0128, "step": 207 }, { - "epoch": 0.7, - "learning_rate": 1.224e-05, - "loss": 7.162, + "epoch": 0.12, + "learning_rate": 4.02e-05, + "loss": 6.8904, "step": 208 }, { - "epoch": 0.7, - "learning_rate": 1.2299999999999999e-05, - "loss": 6.9514, + "epoch": 0.12, + "learning_rate": 4.0400000000000006e-05, + "loss": 6.9903, "step": 209 }, { - "epoch": 0.71, - "learning_rate": 1.236e-05, - "loss": 7.0485, + "epoch": 0.12, + "learning_rate": 4.0600000000000004e-05, + "loss": 7.145, "step": 210 }, { - "epoch": 0.71, - "learning_rate": 1.242e-05, - "loss": 7.0077, + "epoch": 0.12, + "learning_rate": 4.08e-05, + "loss": 6.9505, "step": 211 }, { - "epoch": 0.71, - "learning_rate": 1.2479999999999999e-05, - "loss": 6.964, + "epoch": 0.12, + "learning_rate": 4.1e-05, + "loss": 7.0709, "step": 212 }, { - "epoch": 0.72, - "learning_rate": 1.254e-05, - "loss": 6.9713, + "epoch": 0.12, + "learning_rate": 4.12e-05, + "loss": 6.9791, "step": 213 }, { - "epoch": 0.72, - "learning_rate": 1.26e-05, - "loss": 6.9846, + "epoch": 0.12, + "learning_rate": 4.14e-05, + "loss": 6.7219, "step": 214 }, { - "epoch": 0.72, - "learning_rate": 1.2659999999999999e-05, - "loss": 7.0551, + "epoch": 0.12, + "learning_rate": 4.16e-05, + "loss": 7.0825, "step": 215 }, { - "epoch": 0.73, - "learning_rate": 1.272e-05, - "loss": 7.1107, + "epoch": 0.12, + "learning_rate": 4.18e-05, + "loss": 6.7478, "step": 216 }, { - "epoch": 0.73, - "learning_rate": 1.278e-05, - "loss": 7.0144, + "epoch": 0.12, + "learning_rate": 4.2e-05, + "loss": 6.9912, "step": 217 }, { - "epoch": 0.73, - "learning_rate": 1.284e-05, - "loss": 6.922, + "epoch": 0.12, + "learning_rate": 4.22e-05, + "loss": 6.8563, "step": 218 }, { - "epoch": 0.74, - "learning_rate": 1.29e-05, - "loss": 6.9366, + "epoch": 0.12, + "learning_rate": 4.24e-05, + "loss": 6.9062, "step": 219 }, { - "epoch": 0.74, - "learning_rate": 1.296e-05, - "loss": 6.9862, + "epoch": 0.12, + "learning_rate": 4.26e-05, + "loss": 6.9776, "step": 220 }, { - "epoch": 0.74, - "learning_rate": 1.302e-05, - "loss": 6.9755, + "epoch": 0.12, + "learning_rate": 4.2800000000000004e-05, + "loss": 7.0412, "step": 221 }, { - "epoch": 0.75, - "learning_rate": 1.308e-05, - "loss": 6.9939, + "epoch": 0.12, + "learning_rate": 4.3e-05, + "loss": 7.1644, "step": 222 }, { - "epoch": 0.75, - "learning_rate": 1.314e-05, - "loss": 6.9933, + "epoch": 0.12, + "learning_rate": 4.32e-05, + "loss": 6.8507, "step": 223 }, { - "epoch": 0.75, - "learning_rate": 1.32e-05, - "loss": 6.9913, + "epoch": 0.13, + "learning_rate": 4.3400000000000005e-05, + "loss": 6.9205, "step": 224 }, { - "epoch": 0.76, - "learning_rate": 1.326e-05, - "loss": 7.0128, + "epoch": 0.13, + "learning_rate": 4.36e-05, + "loss": 7.0125, "step": 225 }, { - "epoch": 0.76, - "learning_rate": 1.3320000000000001e-05, - "loss": 7.0123, + "epoch": 0.13, + "learning_rate": 4.38e-05, + "loss": 7.2351, "step": 226 }, { - "epoch": 0.76, - "learning_rate": 1.338e-05, - "loss": 7.024, + "epoch": 0.13, + "learning_rate": 4.4000000000000006e-05, + "loss": 7.188, "step": 227 }, { - "epoch": 0.77, - "learning_rate": 1.344e-05, - "loss": 6.923, + "epoch": 0.13, + "learning_rate": 4.4200000000000004e-05, + "loss": 7.0357, "step": 228 }, { - "epoch": 0.77, - "learning_rate": 1.3500000000000001e-05, - "loss": 7.0585, + "epoch": 0.13, + "learning_rate": 4.44e-05, + "loss": 6.863, "step": 229 }, { - "epoch": 0.77, - "learning_rate": 1.356e-05, - "loss": 6.916, + "epoch": 0.13, + "learning_rate": 4.46e-05, + "loss": 6.946, "step": 230 }, { - "epoch": 0.78, - "learning_rate": 1.362e-05, - "loss": 7.0473, + "epoch": 0.13, + "learning_rate": 4.4800000000000005e-05, + "loss": 6.9235, "step": 231 }, { - "epoch": 0.78, - "learning_rate": 1.3680000000000001e-05, - "loss": 6.9184, + "epoch": 0.13, + "learning_rate": 4.5e-05, + "loss": 7.0466, "step": 232 }, { - "epoch": 0.78, - "learning_rate": 1.374e-05, - "loss": 7.0242, + "epoch": 0.13, + "learning_rate": 4.52e-05, + "loss": 7.1308, "step": 233 }, { - "epoch": 0.79, - "learning_rate": 1.3800000000000002e-05, - "loss": 6.9791, + "epoch": 0.13, + "learning_rate": 4.5400000000000006e-05, + "loss": 6.9522, "step": 234 }, { - "epoch": 0.79, - "learning_rate": 1.3860000000000001e-05, - "loss": 7.0786, + "epoch": 0.13, + "learning_rate": 4.5600000000000004e-05, + "loss": 6.8172, "step": 235 }, { - "epoch": 0.79, - "learning_rate": 1.392e-05, - "loss": 6.95, + "epoch": 0.13, + "learning_rate": 4.58e-05, + "loss": 7.2164, "step": 236 }, { - "epoch": 0.8, - "learning_rate": 1.3980000000000002e-05, - "loss": 6.8634, + "epoch": 0.13, + "learning_rate": 4.600000000000001e-05, + "loss": 7.0156, "step": 237 }, { - "epoch": 0.8, - "learning_rate": 1.4040000000000001e-05, - "loss": 7.0312, + "epoch": 0.13, + "learning_rate": 4.6200000000000005e-05, + "loss": 6.9764, "step": 238 }, { - "epoch": 0.8, - "learning_rate": 1.4099999999999999e-05, - "loss": 6.9264, + "epoch": 0.13, + "learning_rate": 4.64e-05, + "loss": 6.9341, "step": 239 }, { - "epoch": 0.81, - "learning_rate": 1.416e-05, - "loss": 6.896, + "epoch": 0.13, + "learning_rate": 4.660000000000001e-05, + "loss": 6.9524, "step": 240 }, { - "epoch": 0.81, - "learning_rate": 1.422e-05, - "loss": 6.912, + "epoch": 0.14, + "learning_rate": 4.6800000000000006e-05, + "loss": 6.9046, "step": 241 }, { - "epoch": 0.81, - "learning_rate": 1.428e-05, - "loss": 6.9706, + "epoch": 0.14, + "learning_rate": 4.7e-05, + "loss": 6.8651, "step": 242 }, { - "epoch": 0.82, - "learning_rate": 1.434e-05, - "loss": 6.8722, + "epoch": 0.14, + "learning_rate": 4.72e-05, + "loss": 6.7141, "step": 243 }, { - "epoch": 0.82, - "learning_rate": 1.44e-05, - "loss": 6.7643, + "epoch": 0.14, + "learning_rate": 4.74e-05, + "loss": 6.9299, "step": 244 }, { - "epoch": 0.82, - "learning_rate": 1.446e-05, - "loss": 6.851, + "epoch": 0.14, + "learning_rate": 4.76e-05, + "loss": 6.8534, "step": 245 }, { - "epoch": 0.83, - "learning_rate": 1.452e-05, - "loss": 6.8817, + "epoch": 0.14, + "learning_rate": 4.78e-05, + "loss": 7.0233, "step": 246 }, { - "epoch": 0.83, - "learning_rate": 1.458e-05, - "loss": 6.7148, + "epoch": 0.14, + "learning_rate": 4.8e-05, + "loss": 6.4266, "step": 247 }, { - "epoch": 0.83, - "learning_rate": 1.464e-05, - "loss": 6.5562, + "epoch": 0.14, + "learning_rate": 4.82e-05, + "loss": 6.8092, "step": 248 }, { - "epoch": 0.84, - "learning_rate": 1.47e-05, - "loss": 6.614, + "epoch": 0.14, + "learning_rate": 4.8400000000000004e-05, + "loss": 6.4207, "step": 249 }, { - "epoch": 0.84, - "learning_rate": 1.4760000000000001e-05, - "loss": 6.3515, + "epoch": 0.14, + "learning_rate": 4.86e-05, + "loss": 6.3026, "step": 250 }, { - "epoch": 0.84, - "learning_rate": 1.482e-05, - "loss": 7.3691, + "epoch": 0.14, + "learning_rate": 4.88e-05, + "loss": 7.0456, "step": 251 }, { - "epoch": 0.85, - "learning_rate": 1.488e-05, - "loss": 7.3315, + "epoch": 0.14, + "learning_rate": 4.9e-05, + "loss": 7.3466, "step": 252 }, { - "epoch": 0.85, - "learning_rate": 1.4940000000000001e-05, - "loss": 7.3868, + "epoch": 0.14, + "learning_rate": 4.92e-05, + "loss": 7.0408, "step": 253 }, { - "epoch": 0.85, - "learning_rate": 1.5e-05, - "loss": 7.2316, + "epoch": 0.14, + "learning_rate": 4.94e-05, + "loss": 7.1668, "step": 254 }, { - "epoch": 0.86, - "learning_rate": 1.506e-05, - "loss": 7.0674, + "epoch": 0.14, + "learning_rate": 4.96e-05, + "loss": 7.0237, "step": 255 }, { - "epoch": 0.86, - "learning_rate": 1.5120000000000001e-05, - "loss": 6.9861, + "epoch": 0.14, + "learning_rate": 4.9800000000000004e-05, + "loss": 6.9889, "step": 256 }, { - "epoch": 0.86, - "learning_rate": 1.518e-05, - "loss": 7.0043, + "epoch": 0.14, + "learning_rate": 5e-05, + "loss": 7.035, "step": 257 }, { - "epoch": 0.87, - "learning_rate": 1.524e-05, - "loss": 6.9465, + "epoch": 0.14, + "learning_rate": 5.02e-05, + "loss": 6.9818, "step": 258 }, { - "epoch": 0.87, - "learning_rate": 1.53e-05, - "loss": 6.9224, + "epoch": 0.15, + "learning_rate": 5.0400000000000005e-05, + "loss": 7.2504, "step": 259 }, { - "epoch": 0.87, - "learning_rate": 1.5360000000000002e-05, - "loss": 6.8833, + "epoch": 0.15, + "learning_rate": 5.0600000000000003e-05, + "loss": 6.6811, "step": 260 }, { - "epoch": 0.88, - "learning_rate": 1.542e-05, - "loss": 6.9311, + "epoch": 0.15, + "learning_rate": 5.08e-05, + "loss": 6.835, "step": 261 }, { - "epoch": 0.88, - "learning_rate": 1.548e-05, - "loss": 6.9703, + "epoch": 0.15, + "learning_rate": 5.1000000000000006e-05, + "loss": 6.8678, "step": 262 }, { - "epoch": 0.88, - "learning_rate": 1.554e-05, - "loss": 6.8447, + "epoch": 0.15, + "learning_rate": 5.1200000000000004e-05, + "loss": 7.1576, "step": 263 }, { - "epoch": 0.89, - "learning_rate": 1.56e-05, - "loss": 6.9624, + "epoch": 0.15, + "learning_rate": 5.14e-05, + "loss": 7.1024, "step": 264 }, { - "epoch": 0.89, - "learning_rate": 1.5660000000000003e-05, - "loss": 6.8964, + "epoch": 0.15, + "learning_rate": 5.16e-05, + "loss": 6.9567, "step": 265 }, { - "epoch": 0.89, - "learning_rate": 1.5720000000000002e-05, - "loss": 6.9926, + "epoch": 0.15, + "learning_rate": 5.1800000000000005e-05, + "loss": 6.8086, "step": 266 }, { - "epoch": 0.9, - "learning_rate": 1.578e-05, - "loss": 6.911, + "epoch": 0.15, + "learning_rate": 5.2000000000000004e-05, + "loss": 7.0584, "step": 267 }, { - "epoch": 0.9, - "learning_rate": 1.584e-05, - "loss": 6.9273, + "epoch": 0.15, + "learning_rate": 5.22e-05, + "loss": 7.007, "step": 268 }, { - "epoch": 0.9, - "learning_rate": 1.59e-05, - "loss": 6.9688, + "epoch": 0.15, + "learning_rate": 5.2400000000000007e-05, + "loss": 7.0871, "step": 269 }, { - "epoch": 0.91, - "learning_rate": 1.596e-05, - "loss": 6.922, + "epoch": 0.15, + "learning_rate": 5.2600000000000005e-05, + "loss": 6.8458, "step": 270 }, { - "epoch": 0.91, - "learning_rate": 1.6020000000000002e-05, - "loss": 6.8924, + "epoch": 0.15, + "learning_rate": 5.28e-05, + "loss": 6.8912, "step": 271 }, { - "epoch": 0.91, - "learning_rate": 1.6080000000000002e-05, - "loss": 6.8255, + "epoch": 0.15, + "learning_rate": 5.300000000000001e-05, + "loss": 6.9293, "step": 272 }, { - "epoch": 0.92, - "learning_rate": 1.614e-05, - "loss": 6.9048, + "epoch": 0.15, + "learning_rate": 5.3200000000000006e-05, + "loss": 6.8123, "step": 273 }, { - "epoch": 0.92, - "learning_rate": 1.62e-05, - "loss": 6.8165, + "epoch": 0.15, + "learning_rate": 5.3400000000000004e-05, + "loss": 6.9474, "step": 274 }, { - "epoch": 0.92, - "learning_rate": 1.626e-05, - "loss": 6.9853, + "epoch": 0.15, + "learning_rate": 5.360000000000001e-05, + "loss": 7.0488, "step": 275 }, { - "epoch": 0.93, - "learning_rate": 1.6320000000000003e-05, - "loss": 6.8935, + "epoch": 0.15, + "learning_rate": 5.380000000000001e-05, + "loss": 7.1216, "step": 276 }, { - "epoch": 0.93, - "learning_rate": 1.6380000000000002e-05, - "loss": 6.9216, + "epoch": 0.16, + "learning_rate": 5.4000000000000005e-05, + "loss": 6.9446, "step": 277 }, { - "epoch": 0.93, - "learning_rate": 1.6440000000000002e-05, - "loss": 6.8888, + "epoch": 0.16, + "learning_rate": 5.420000000000001e-05, + "loss": 7.1616, "step": 278 }, { - "epoch": 0.94, - "learning_rate": 1.65e-05, - "loss": 6.8371, + "epoch": 0.16, + "learning_rate": 5.440000000000001e-05, + "loss": 6.8666, "step": 279 }, { - "epoch": 0.94, - "learning_rate": 1.656e-05, - "loss": 6.8125, + "epoch": 0.16, + "learning_rate": 5.4600000000000006e-05, + "loss": 6.8239, "step": 280 }, { - "epoch": 0.94, - "learning_rate": 1.6620000000000004e-05, - "loss": 6.8752, + "epoch": 0.16, + "learning_rate": 5.4800000000000004e-05, + "loss": 6.9709, "step": 281 }, { - "epoch": 0.95, - "learning_rate": 1.6680000000000003e-05, - "loss": 6.8624, + "epoch": 0.16, + "learning_rate": 5.500000000000001e-05, + "loss": 7.1768, "step": 282 }, { - "epoch": 0.95, - "learning_rate": 1.6740000000000002e-05, - "loss": 6.9626, + "epoch": 0.16, + "learning_rate": 5.520000000000001e-05, + "loss": 7.0812, "step": 283 }, { - "epoch": 0.96, - "learning_rate": 1.6800000000000002e-05, - "loss": 6.8377, + "epoch": 0.16, + "learning_rate": 5.5400000000000005e-05, + "loss": 6.682, "step": 284 }, { - "epoch": 0.96, - "learning_rate": 1.686e-05, - "loss": 6.8724, + "epoch": 0.16, + "learning_rate": 5.560000000000001e-05, + "loss": 7.1171, "step": 285 }, { - "epoch": 0.96, - "learning_rate": 1.6919999999999997e-05, - "loss": 6.9337, + "epoch": 0.16, + "learning_rate": 5.580000000000001e-05, + "loss": 6.7977, "step": 286 }, { - "epoch": 0.97, - "learning_rate": 1.698e-05, - "loss": 6.8343, + "epoch": 0.16, + "learning_rate": 5.6000000000000006e-05, + "loss": 6.9057, "step": 287 }, { - "epoch": 0.97, - "learning_rate": 1.704e-05, - "loss": 6.7935, + "epoch": 0.16, + "learning_rate": 5.620000000000001e-05, + "loss": 7.089, "step": 288 }, { - "epoch": 0.97, - "learning_rate": 1.71e-05, - "loss": 6.8041, + "epoch": 0.16, + "learning_rate": 5.6399999999999995e-05, + "loss": 6.7968, "step": 289 }, { - "epoch": 0.98, - "learning_rate": 1.716e-05, - "loss": 6.8632, + "epoch": 0.16, + "learning_rate": 5.66e-05, + "loss": 7.0452, "step": 290 }, { - "epoch": 0.98, - "learning_rate": 1.7219999999999998e-05, - "loss": 6.7646, + "epoch": 0.16, + "learning_rate": 5.68e-05, + "loss": 7.0024, "step": 291 }, { - "epoch": 0.98, - "learning_rate": 1.728e-05, - "loss": 6.8201, + "epoch": 0.16, + "learning_rate": 5.6999999999999996e-05, + "loss": 7.1462, "step": 292 }, { - "epoch": 0.99, - "learning_rate": 1.734e-05, - "loss": 6.7473, + "epoch": 0.16, + "learning_rate": 5.72e-05, + "loss": 6.9404, "step": 293 }, { - "epoch": 0.99, - "learning_rate": 1.74e-05, - "loss": 6.6929, + "epoch": 0.16, + "learning_rate": 5.74e-05, + "loss": 6.9575, "step": 294 }, { - "epoch": 0.99, - "learning_rate": 1.746e-05, - "loss": 6.6229, + "epoch": 0.17, + "learning_rate": 5.76e-05, + "loss": 6.7984, "step": 295 }, { - "epoch": 1.0, - "learning_rate": 1.7519999999999998e-05, - "loss": 6.7064, + "epoch": 0.17, + "learning_rate": 5.7799999999999995e-05, + "loss": 6.6834, "step": 296 }, { - "epoch": 1.0, - "learning_rate": 1.758e-05, - "loss": 6.3378, + "epoch": 0.17, + "learning_rate": 5.8e-05, + "loss": 6.7387, "step": 297 }, + { + "epoch": 0.17, + "learning_rate": 5.82e-05, + "loss": 6.9219, + "step": 298 + }, + { + "epoch": 0.17, + "learning_rate": 5.8399999999999997e-05, + "loss": 6.7042, + "step": 299 + }, + { + "epoch": 0.17, + "learning_rate": 5.86e-05, + "loss": 6.2036, + "step": 300 + }, + { + "epoch": 0.17, + "learning_rate": 5.88e-05, + "loss": 6.9522, + "step": 301 + }, + { + "epoch": 0.17, + "learning_rate": 5.9e-05, + "loss": 6.924, + "step": 302 + }, + { + "epoch": 0.17, + "learning_rate": 5.92e-05, + "loss": 6.9845, + "step": 303 + }, + { + "epoch": 0.17, + "learning_rate": 5.94e-05, + "loss": 6.8166, + "step": 304 + }, + { + "epoch": 0.17, + "learning_rate": 5.96e-05, + "loss": 6.9723, + "step": 305 + }, + { + "epoch": 0.17, + "learning_rate": 5.9800000000000003e-05, + "loss": 6.9201, + "step": 306 + }, + { + "epoch": 0.17, + "learning_rate": 6e-05, + "loss": 7.0092, + "step": 307 + }, + { + "epoch": 0.17, + "learning_rate": 6.02e-05, + "loss": 7.1132, + "step": 308 + }, + { + "epoch": 0.17, + "learning_rate": 6.04e-05, + "loss": 6.9393, + "step": 309 + }, + { + "epoch": 0.17, + "learning_rate": 6.06e-05, + "loss": 7.0828, + "step": 310 + }, + { + "epoch": 0.17, + "learning_rate": 6.08e-05, + "loss": 6.8783, + "step": 311 + }, + { + "epoch": 0.17, + "learning_rate": 6.1e-05, + "loss": 7.0103, + "step": 312 + }, + { + "epoch": 0.18, + "learning_rate": 6.12e-05, + "loss": 6.9497, + "step": 313 + }, + { + "epoch": 0.18, + "learning_rate": 6.14e-05, + "loss": 6.9917, + "step": 314 + }, + { + "epoch": 0.18, + "learning_rate": 6.16e-05, + "loss": 7.0308, + "step": 315 + }, + { + "epoch": 0.18, + "learning_rate": 6.18e-05, + "loss": 6.8281, + "step": 316 + }, + { + "epoch": 0.18, + "learning_rate": 6.2e-05, + "loss": 6.8573, + "step": 317 + }, + { + "epoch": 0.18, + "learning_rate": 6.220000000000001e-05, + "loss": 6.8823, + "step": 318 + }, + { + "epoch": 0.18, + "learning_rate": 6.24e-05, + "loss": 7.0293, + "step": 319 + }, + { + "epoch": 0.18, + "learning_rate": 6.26e-05, + "loss": 7.0423, + "step": 320 + }, + { + "epoch": 0.18, + "learning_rate": 6.280000000000001e-05, + "loss": 7.2528, + "step": 321 + }, + { + "epoch": 0.18, + "learning_rate": 6.3e-05, + "loss": 7.1092, + "step": 322 + }, + { + "epoch": 0.18, + "learning_rate": 6.32e-05, + "loss": 7.2063, + "step": 323 + }, + { + "epoch": 0.18, + "learning_rate": 6.340000000000001e-05, + "loss": 6.8959, + "step": 324 + }, + { + "epoch": 0.18, + "learning_rate": 6.36e-05, + "loss": 6.8466, + "step": 325 + }, + { + "epoch": 0.18, + "learning_rate": 6.38e-05, + "loss": 7.0297, + "step": 326 + }, + { + "epoch": 0.18, + "learning_rate": 6.400000000000001e-05, + "loss": 6.9622, + "step": 327 + }, + { + "epoch": 0.18, + "learning_rate": 6.42e-05, + "loss": 6.9063, + "step": 328 + }, + { + "epoch": 0.18, + "learning_rate": 6.440000000000001e-05, + "loss": 6.8759, + "step": 329 + }, + { + "epoch": 0.18, + "learning_rate": 6.460000000000001e-05, + "loss": 7.0322, + "step": 330 + }, + { + "epoch": 0.19, + "learning_rate": 6.48e-05, + "loss": 6.9781, + "step": 331 + }, + { + "epoch": 0.19, + "learning_rate": 6.500000000000001e-05, + "loss": 7.0036, + "step": 332 + }, + { + "epoch": 0.19, + "learning_rate": 6.52e-05, + "loss": 7.0864, + "step": 333 + }, + { + "epoch": 0.19, + "learning_rate": 6.54e-05, + "loss": 7.1104, + "step": 334 + }, + { + "epoch": 0.19, + "learning_rate": 6.560000000000001e-05, + "loss": 6.9095, + "step": 335 + }, + { + "epoch": 0.19, + "learning_rate": 6.58e-05, + "loss": 6.9461, + "step": 336 + }, + { + "epoch": 0.19, + "learning_rate": 6.6e-05, + "loss": 6.9987, + "step": 337 + }, + { + "epoch": 0.19, + "learning_rate": 6.620000000000001e-05, + "loss": 6.7974, + "step": 338 + }, + { + "epoch": 0.19, + "learning_rate": 6.64e-05, + "loss": 6.9084, + "step": 339 + }, + { + "epoch": 0.19, + "learning_rate": 6.66e-05, + "loss": 6.988, + "step": 340 + }, + { + "epoch": 0.19, + "learning_rate": 6.680000000000001e-05, + "loss": 6.7049, + "step": 341 + }, + { + "epoch": 0.19, + "learning_rate": 6.7e-05, + "loss": 7.0854, + "step": 342 + }, + { + "epoch": 0.19, + "learning_rate": 6.720000000000001e-05, + "loss": 7.05, + "step": 343 + }, + { + "epoch": 0.19, + "learning_rate": 6.740000000000001e-05, + "loss": 6.9691, + "step": 344 + }, + { + "epoch": 0.19, + "learning_rate": 6.76e-05, + "loss": 6.7041, + "step": 345 + }, + { + "epoch": 0.19, + "learning_rate": 6.780000000000001e-05, + "loss": 6.7627, + "step": 346 + }, + { + "epoch": 0.19, + "learning_rate": 6.800000000000001e-05, + "loss": 7.3683, + "step": 347 + }, + { + "epoch": 0.2, + "learning_rate": 6.82e-05, + "loss": 6.7652, + "step": 348 + }, + { + "epoch": 0.2, + "learning_rate": 6.840000000000001e-05, + "loss": 6.334, + "step": 349 + }, + { + "epoch": 0.2, + "learning_rate": 6.860000000000001e-05, + "loss": 6.0494, + "step": 350 + }, + { + "epoch": 0.2, + "learning_rate": 6.879999999999999e-05, + "loss": 7.0525, + "step": 351 + }, + { + "epoch": 0.2, + "learning_rate": 6.9e-05, + "loss": 7.1171, + "step": 352 + }, + { + "epoch": 0.2, + "learning_rate": 6.92e-05, + "loss": 6.9668, + "step": 353 + }, + { + "epoch": 0.2, + "learning_rate": 6.939999999999999e-05, + "loss": 6.9117, + "step": 354 + }, + { + "epoch": 0.2, + "learning_rate": 6.96e-05, + "loss": 6.835, + "step": 355 + }, + { + "epoch": 0.2, + "learning_rate": 6.98e-05, + "loss": 7.0222, + "step": 356 + }, + { + "epoch": 0.2, + "learning_rate": 7e-05, + "loss": 7.1445, + "step": 357 + }, + { + "epoch": 0.2, + "learning_rate": 7.02e-05, + "loss": 6.9976, + "step": 358 + }, + { + "epoch": 0.2, + "learning_rate": 7.04e-05, + "loss": 7.1503, + "step": 359 + }, + { + "epoch": 0.2, + "learning_rate": 7.06e-05, + "loss": 7.0396, + "step": 360 + }, + { + "epoch": 0.2, + "learning_rate": 7.08e-05, + "loss": 6.7691, + "step": 361 + }, + { + "epoch": 0.2, + "learning_rate": 7.1e-05, + "loss": 6.6886, + "step": 362 + }, + { + "epoch": 0.2, + "learning_rate": 7.12e-05, + "loss": 6.8942, + "step": 363 + }, + { + "epoch": 0.2, + "learning_rate": 7.14e-05, + "loss": 6.8019, + "step": 364 + }, + { + "epoch": 0.2, + "learning_rate": 7.16e-05, + "loss": 6.9332, + "step": 365 + }, + { + "epoch": 0.21, + "learning_rate": 7.18e-05, + "loss": 7.0608, + "step": 366 + }, + { + "epoch": 0.21, + "learning_rate": 7.2e-05, + "loss": 6.8797, + "step": 367 + }, + { + "epoch": 0.21, + "learning_rate": 7.22e-05, + "loss": 6.8975, + "step": 368 + }, + { + "epoch": 0.21, + "learning_rate": 7.24e-05, + "loss": 7.0204, + "step": 369 + }, + { + "epoch": 0.21, + "learning_rate": 7.26e-05, + "loss": 6.8734, + "step": 370 + }, + { + "epoch": 0.21, + "learning_rate": 7.280000000000001e-05, + "loss": 6.8151, + "step": 371 + }, + { + "epoch": 0.21, + "learning_rate": 7.3e-05, + "loss": 7.1294, + "step": 372 + }, + { + "epoch": 0.21, + "learning_rate": 7.32e-05, + "loss": 6.9473, + "step": 373 + }, + { + "epoch": 0.21, + "learning_rate": 7.340000000000001e-05, + "loss": 6.8825, + "step": 374 + }, + { + "epoch": 0.21, + "learning_rate": 7.36e-05, + "loss": 6.7154, + "step": 375 + }, + { + "epoch": 0.21, + "learning_rate": 7.38e-05, + "loss": 6.9182, + "step": 376 + }, + { + "epoch": 0.21, + "learning_rate": 7.4e-05, + "loss": 6.9023, + "step": 377 + }, + { + "epoch": 0.21, + "learning_rate": 7.42e-05, + "loss": 6.8441, + "step": 378 + }, + { + "epoch": 0.21, + "learning_rate": 7.44e-05, + "loss": 6.9761, + "step": 379 + }, + { + "epoch": 0.21, + "learning_rate": 7.46e-05, + "loss": 7.0962, + "step": 380 + }, + { + "epoch": 0.21, + "learning_rate": 7.48e-05, + "loss": 6.8442, + "step": 381 + }, + { + "epoch": 0.21, + "learning_rate": 7.500000000000001e-05, + "loss": 6.7706, + "step": 382 + }, + { + "epoch": 0.21, + "learning_rate": 7.52e-05, + "loss": 6.8681, + "step": 383 + }, + { + "epoch": 0.22, + "learning_rate": 7.54e-05, + "loss": 6.9452, + "step": 384 + }, + { + "epoch": 0.22, + "learning_rate": 7.560000000000001e-05, + "loss": 7.0829, + "step": 385 + }, + { + "epoch": 0.22, + "learning_rate": 7.58e-05, + "loss": 7.2026, + "step": 386 + }, + { + "epoch": 0.22, + "learning_rate": 7.6e-05, + "loss": 6.9318, + "step": 387 + }, + { + "epoch": 0.22, + "learning_rate": 7.620000000000001e-05, + "loss": 6.7755, + "step": 388 + }, + { + "epoch": 0.22, + "learning_rate": 7.64e-05, + "loss": 6.8436, + "step": 389 + }, + { + "epoch": 0.22, + "learning_rate": 7.66e-05, + "loss": 7.004, + "step": 390 + }, + { + "epoch": 0.22, + "learning_rate": 7.680000000000001e-05, + "loss": 6.8093, + "step": 391 + }, + { + "epoch": 0.22, + "learning_rate": 7.7e-05, + "loss": 7.4031, + "step": 392 + }, + { + "epoch": 0.22, + "learning_rate": 7.72e-05, + "loss": 6.9762, + "step": 393 + }, + { + "epoch": 0.22, + "learning_rate": 7.740000000000001e-05, + "loss": 6.7874, + "step": 394 + }, + { + "epoch": 0.22, + "learning_rate": 7.76e-05, + "loss": 6.8192, + "step": 395 + }, + { + "epoch": 0.22, + "learning_rate": 7.780000000000001e-05, + "loss": 6.6398, + "step": 396 + }, + { + "epoch": 0.22, + "learning_rate": 7.800000000000001e-05, + "loss": 6.5132, + "step": 397 + }, + { + "epoch": 0.22, + "learning_rate": 7.82e-05, + "loss": 6.8268, + "step": 398 + }, + { + "epoch": 0.22, + "learning_rate": 7.840000000000001e-05, + "loss": 6.8986, + "step": 399 + }, + { + "epoch": 0.22, + "learning_rate": 7.860000000000001e-05, + "loss": 6.5213, + "step": 400 + }, + { + "epoch": 0.22, + "learning_rate": 7.88e-05, + "loss": 7.1412, + "step": 401 + }, + { + "epoch": 0.23, + "learning_rate": 7.900000000000001e-05, + "loss": 6.9053, + "step": 402 + }, + { + "epoch": 0.23, + "learning_rate": 7.920000000000001e-05, + "loss": 6.8119, + "step": 403 + }, + { + "epoch": 0.23, + "learning_rate": 7.94e-05, + "loss": 7.1109, + "step": 404 + }, + { + "epoch": 0.23, + "learning_rate": 7.960000000000001e-05, + "loss": 6.8769, + "step": 405 + }, + { + "epoch": 0.23, + "learning_rate": 7.98e-05, + "loss": 7.0447, + "step": 406 + }, + { + "epoch": 0.23, + "learning_rate": 8e-05, + "loss": 6.8792, + "step": 407 + }, + { + "epoch": 0.23, + "learning_rate": 8.020000000000001e-05, + "loss": 6.9365, + "step": 408 + }, + { + "epoch": 0.23, + "learning_rate": 8.04e-05, + "loss": 6.8985, + "step": 409 + }, + { + "epoch": 0.23, + "learning_rate": 8.060000000000001e-05, + "loss": 6.8336, + "step": 410 + }, + { + "epoch": 0.23, + "learning_rate": 8.080000000000001e-05, + "loss": 6.8815, + "step": 411 + }, + { + "epoch": 0.23, + "learning_rate": 8.1e-05, + "loss": 6.7618, + "step": 412 + }, + { + "epoch": 0.23, + "learning_rate": 8.120000000000001e-05, + "loss": 7.0093, + "step": 413 + }, + { + "epoch": 0.23, + "learning_rate": 8.14e-05, + "loss": 6.7996, + "step": 414 + }, + { + "epoch": 0.23, + "learning_rate": 8.16e-05, + "loss": 6.9759, + "step": 415 + }, + { + "epoch": 0.23, + "learning_rate": 8.18e-05, + "loss": 6.9522, + "step": 416 + }, + { + "epoch": 0.23, + "learning_rate": 8.2e-05, + "loss": 6.9069, + "step": 417 + }, + { + "epoch": 0.23, + "learning_rate": 8.22e-05, + "loss": 6.8897, + "step": 418 + }, + { + "epoch": 0.23, + "learning_rate": 8.24e-05, + "loss": 6.8895, + "step": 419 + }, + { + "epoch": 0.24, + "learning_rate": 8.26e-05, + "loss": 7.0399, + "step": 420 + }, + { + "epoch": 0.24, + "learning_rate": 8.28e-05, + "loss": 7.0276, + "step": 421 + }, + { + "epoch": 0.24, + "learning_rate": 8.3e-05, + "loss": 6.9433, + "step": 422 + }, + { + "epoch": 0.24, + "learning_rate": 8.32e-05, + "loss": 6.8636, + "step": 423 + }, + { + "epoch": 0.24, + "learning_rate": 8.34e-05, + "loss": 7.1395, + "step": 424 + }, + { + "epoch": 0.24, + "learning_rate": 8.36e-05, + "loss": 7.1488, + "step": 425 + }, + { + "epoch": 0.24, + "learning_rate": 8.38e-05, + "loss": 6.9623, + "step": 426 + }, + { + "epoch": 0.24, + "learning_rate": 8.4e-05, + "loss": 6.8618, + "step": 427 + }, + { + "epoch": 0.24, + "learning_rate": 8.42e-05, + "loss": 6.9247, + "step": 428 + }, + { + "epoch": 0.24, + "learning_rate": 8.44e-05, + "loss": 6.9291, + "step": 429 + }, + { + "epoch": 0.24, + "learning_rate": 8.46e-05, + "loss": 6.9002, + "step": 430 + }, + { + "epoch": 0.24, + "learning_rate": 8.48e-05, + "loss": 6.8373, + "step": 431 + }, + { + "epoch": 0.24, + "learning_rate": 8.5e-05, + "loss": 6.9988, + "step": 432 + }, + { + "epoch": 0.24, + "learning_rate": 8.52e-05, + "loss": 6.8496, + "step": 433 + }, + { + "epoch": 0.24, + "learning_rate": 8.54e-05, + "loss": 7.0739, + "step": 434 + }, + { + "epoch": 0.24, + "learning_rate": 8.560000000000001e-05, + "loss": 6.9117, + "step": 435 + }, + { + "epoch": 0.24, + "learning_rate": 8.58e-05, + "loss": 6.8533, + "step": 436 + }, + { + "epoch": 0.24, + "learning_rate": 8.6e-05, + "loss": 6.8884, + "step": 437 + }, + { + "epoch": 0.25, + "learning_rate": 8.620000000000001e-05, + "loss": 7.0006, + "step": 438 + }, + { + "epoch": 0.25, + "learning_rate": 8.64e-05, + "loss": 6.7802, + "step": 439 + }, + { + "epoch": 0.25, + "learning_rate": 8.66e-05, + "loss": 6.9682, + "step": 440 + }, + { + "epoch": 0.25, + "learning_rate": 8.680000000000001e-05, + "loss": 6.8996, + "step": 441 + }, + { + "epoch": 0.25, + "learning_rate": 8.7e-05, + "loss": 6.8972, + "step": 442 + }, + { + "epoch": 0.25, + "learning_rate": 8.72e-05, + "loss": 6.6445, + "step": 443 + }, + { + "epoch": 0.25, + "learning_rate": 8.740000000000001e-05, + "loss": 6.7829, + "step": 444 + }, + { + "epoch": 0.25, + "learning_rate": 8.76e-05, + "loss": 6.7631, + "step": 445 + }, + { + "epoch": 0.25, + "learning_rate": 8.78e-05, + "loss": 7.1588, + "step": 446 + }, + { + "epoch": 0.25, + "learning_rate": 8.800000000000001e-05, + "loss": 6.8277, + "step": 447 + }, + { + "epoch": 0.25, + "learning_rate": 8.82e-05, + "loss": 6.8145, + "step": 448 + }, + { + "epoch": 0.25, + "learning_rate": 8.840000000000001e-05, + "loss": 7.0153, + "step": 449 + }, + { + "epoch": 0.25, + "learning_rate": 8.86e-05, + "loss": 6.4082, + "step": 450 + }, + { + "epoch": 0.25, + "learning_rate": 8.88e-05, + "loss": 6.8712, + "step": 451 + }, + { + "epoch": 0.25, + "learning_rate": 8.900000000000001e-05, + "loss": 6.9324, + "step": 452 + }, + { + "epoch": 0.25, + "learning_rate": 8.92e-05, + "loss": 7.0749, + "step": 453 + }, + { + "epoch": 0.25, + "learning_rate": 8.94e-05, + "loss": 6.9352, + "step": 454 + }, + { + "epoch": 0.26, + "learning_rate": 8.960000000000001e-05, + "loss": 6.8809, + "step": 455 + }, + { + "epoch": 0.26, + "learning_rate": 8.98e-05, + "loss": 7.0244, + "step": 456 + }, + { + "epoch": 0.26, + "learning_rate": 9e-05, + "loss": 6.7082, + "step": 457 + }, + { + "epoch": 0.26, + "learning_rate": 9.020000000000001e-05, + "loss": 6.9073, + "step": 458 + }, + { + "epoch": 0.26, + "learning_rate": 9.04e-05, + "loss": 6.7812, + "step": 459 + }, + { + "epoch": 0.26, + "learning_rate": 9.06e-05, + "loss": 6.9702, + "step": 460 + }, + { + "epoch": 0.26, + "learning_rate": 9.080000000000001e-05, + "loss": 6.755, + "step": 461 + }, + { + "epoch": 0.26, + "learning_rate": 9.1e-05, + "loss": 6.7184, + "step": 462 + }, + { + "epoch": 0.26, + "learning_rate": 9.120000000000001e-05, + "loss": 6.8317, + "step": 463 + }, + { + "epoch": 0.26, + "learning_rate": 9.140000000000001e-05, + "loss": 6.9396, + "step": 464 + }, + { + "epoch": 0.26, + "learning_rate": 9.16e-05, + "loss": 6.7579, + "step": 465 + }, + { + "epoch": 0.26, + "learning_rate": 9.180000000000001e-05, + "loss": 7.0377, + "step": 466 + }, + { + "epoch": 0.26, + "learning_rate": 9.200000000000001e-05, + "loss": 6.8726, + "step": 467 + }, + { + "epoch": 0.26, + "learning_rate": 9.22e-05, + "loss": 7.0358, + "step": 468 + }, + { + "epoch": 0.26, + "learning_rate": 9.240000000000001e-05, + "loss": 6.661, + "step": 469 + }, + { + "epoch": 0.26, + "learning_rate": 9.260000000000001e-05, + "loss": 6.9805, + "step": 470 + }, + { + "epoch": 0.26, + "learning_rate": 9.28e-05, + "loss": 6.8981, + "step": 471 + }, + { + "epoch": 0.26, + "learning_rate": 9.300000000000001e-05, + "loss": 6.733, + "step": 472 + }, + { + "epoch": 0.27, + "learning_rate": 9.320000000000002e-05, + "loss": 6.7853, + "step": 473 + }, + { + "epoch": 0.27, + "learning_rate": 9.340000000000001e-05, + "loss": 6.8312, + "step": 474 + }, + { + "epoch": 0.27, + "learning_rate": 9.360000000000001e-05, + "loss": 6.8538, + "step": 475 + }, + { + "epoch": 0.27, + "learning_rate": 9.38e-05, + "loss": 6.8642, + "step": 476 + }, + { + "epoch": 0.27, + "learning_rate": 9.4e-05, + "loss": 6.8786, + "step": 477 + }, + { + "epoch": 0.27, + "learning_rate": 9.42e-05, + "loss": 6.8739, + "step": 478 + }, + { + "epoch": 0.27, + "learning_rate": 9.44e-05, + "loss": 6.942, + "step": 479 + }, + { + "epoch": 0.27, + "learning_rate": 9.46e-05, + "loss": 6.9337, + "step": 480 + }, + { + "epoch": 0.27, + "learning_rate": 9.48e-05, + "loss": 7.0572, + "step": 481 + }, + { + "epoch": 0.27, + "learning_rate": 9.5e-05, + "loss": 6.93, + "step": 482 + }, + { + "epoch": 0.27, + "learning_rate": 9.52e-05, + "loss": 7.2985, + "step": 483 + }, + { + "epoch": 0.27, + "learning_rate": 9.54e-05, + "loss": 6.8695, + "step": 484 + }, + { + "epoch": 0.27, + "learning_rate": 9.56e-05, + "loss": 6.9664, + "step": 485 + }, + { + "epoch": 0.27, + "learning_rate": 9.58e-05, + "loss": 6.9719, + "step": 486 + }, + { + "epoch": 0.27, + "learning_rate": 9.6e-05, + "loss": 6.817, + "step": 487 + }, + { + "epoch": 0.27, + "learning_rate": 9.620000000000001e-05, + "loss": 7.0931, + "step": 488 + }, + { + "epoch": 0.27, + "learning_rate": 9.64e-05, + "loss": 6.8813, + "step": 489 + }, + { + "epoch": 0.27, + "learning_rate": 9.66e-05, + "loss": 6.8692, + "step": 490 + }, + { + "epoch": 0.28, + "learning_rate": 9.680000000000001e-05, + "loss": 6.6822, + "step": 491 + }, + { + "epoch": 0.28, + "learning_rate": 9.7e-05, + "loss": 7.0572, + "step": 492 + }, + { + "epoch": 0.28, + "learning_rate": 9.72e-05, + "loss": 6.9379, + "step": 493 + }, + { + "epoch": 0.28, + "learning_rate": 9.74e-05, + "loss": 7.0503, + "step": 494 + }, + { + "epoch": 0.28, + "learning_rate": 9.76e-05, + "loss": 6.8366, + "step": 495 + }, + { + "epoch": 0.28, + "learning_rate": 9.78e-05, + "loss": 6.9263, + "step": 496 + }, + { + "epoch": 0.28, + "learning_rate": 9.8e-05, + "loss": 6.6806, + "step": 497 + }, + { + "epoch": 0.28, + "learning_rate": 9.82e-05, + "loss": 7.0852, + "step": 498 + }, + { + "epoch": 0.28, + "learning_rate": 9.84e-05, + "loss": 6.6118, + "step": 499 + }, + { + "epoch": 0.28, + "learning_rate": 9.86e-05, + "loss": 6.6509, + "step": 500 + }, + { + "epoch": 0.28, + "eval_loss": 6.8575053215026855, + "eval_runtime": 840.1793, + "eval_samples_per_second": 3.145, + "eval_steps_per_second": 0.394, + "eval_wer": 1.3255550925650337, + "step": 500 + }, + { + "epoch": 0.28, + "learning_rate": 9.88e-05, + "loss": 6.9197, + "step": 501 + }, + { + "epoch": 0.28, + "learning_rate": 9.900000000000001e-05, + "loss": 6.9804, + "step": 502 + }, + { + "epoch": 0.28, + "learning_rate": 9.92e-05, + "loss": 6.8762, + "step": 503 + }, + { + "epoch": 0.28, + "learning_rate": 9.94e-05, + "loss": 7.0246, + "step": 504 + }, + { + "epoch": 0.28, + "learning_rate": 9.960000000000001e-05, + "loss": 6.7874, + "step": 505 + }, + { + "epoch": 0.28, + "learning_rate": 9.98e-05, + "loss": 7.0085, + "step": 506 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001, + "loss": 6.7434, + "step": 507 + }, + { + "epoch": 0.28, + "learning_rate": 9.992211838006231e-05, + "loss": 7.0536, + "step": 508 + }, + { + "epoch": 0.29, + "learning_rate": 9.984423676012462e-05, + "loss": 7.0318, + "step": 509 + }, + { + "epoch": 0.29, + "learning_rate": 9.976635514018692e-05, + "loss": 6.9761, + "step": 510 + }, + { + "epoch": 0.29, + "learning_rate": 9.968847352024923e-05, + "loss": 6.9125, + "step": 511 + }, + { + "epoch": 0.29, + "learning_rate": 9.961059190031154e-05, + "loss": 6.826, + "step": 512 + }, + { + "epoch": 0.29, + "learning_rate": 9.953271028037385e-05, + "loss": 6.8411, + "step": 513 + }, + { + "epoch": 0.29, + "learning_rate": 9.945482866043614e-05, + "loss": 6.7741, + "step": 514 + }, + { + "epoch": 0.29, + "learning_rate": 9.937694704049845e-05, + "loss": 6.9531, + "step": 515 + }, + { + "epoch": 0.29, + "learning_rate": 9.929906542056076e-05, + "loss": 6.9797, + "step": 516 + }, + { + "epoch": 0.29, + "learning_rate": 9.922118380062307e-05, + "loss": 6.9851, + "step": 517 + }, + { + "epoch": 0.29, + "learning_rate": 9.914330218068536e-05, + "loss": 6.9887, + "step": 518 + }, + { + "epoch": 0.29, + "learning_rate": 9.906542056074767e-05, + "loss": 6.8929, + "step": 519 + }, + { + "epoch": 0.29, + "learning_rate": 9.898753894080998e-05, + "loss": 6.9011, + "step": 520 + }, + { + "epoch": 0.29, + "learning_rate": 9.890965732087229e-05, + "loss": 6.8161, + "step": 521 + }, + { + "epoch": 0.29, + "learning_rate": 9.883177570093459e-05, + "loss": 6.9713, + "step": 522 + }, + { + "epoch": 0.29, + "learning_rate": 9.87538940809969e-05, + "loss": 6.7303, + "step": 523 + }, + { + "epoch": 0.29, + "learning_rate": 9.867601246105919e-05, + "loss": 6.9274, + "step": 524 + }, + { + "epoch": 0.29, + "learning_rate": 9.85981308411215e-05, + "loss": 6.9497, + "step": 525 + }, + { + "epoch": 0.29, + "learning_rate": 9.852024922118381e-05, + "loss": 6.8621, + "step": 526 + }, + { + "epoch": 0.3, + "learning_rate": 9.84423676012461e-05, + "loss": 7.1177, + "step": 527 + }, + { + "epoch": 0.3, + "learning_rate": 9.836448598130841e-05, + "loss": 6.7499, + "step": 528 + }, + { + "epoch": 0.3, + "learning_rate": 9.828660436137072e-05, + "loss": 6.9449, + "step": 529 + }, + { + "epoch": 0.3, + "learning_rate": 9.820872274143302e-05, + "loss": 7.0588, + "step": 530 + }, + { + "epoch": 0.3, + "learning_rate": 9.813084112149533e-05, + "loss": 6.7286, + "step": 531 + }, + { + "epoch": 0.3, + "learning_rate": 9.805295950155764e-05, + "loss": 6.7613, + "step": 532 + }, + { + "epoch": 0.3, + "learning_rate": 9.797507788161995e-05, + "loss": 6.9184, + "step": 533 + }, + { + "epoch": 0.3, + "learning_rate": 9.789719626168224e-05, + "loss": 6.7438, + "step": 534 + }, + { + "epoch": 0.3, + "learning_rate": 9.781931464174455e-05, + "loss": 7.1036, + "step": 535 + }, + { + "epoch": 0.3, + "learning_rate": 9.774143302180686e-05, + "loss": 6.8978, + "step": 536 + }, + { + "epoch": 0.3, + "learning_rate": 9.766355140186917e-05, + "loss": 6.7852, + "step": 537 + }, + { + "epoch": 0.3, + "learning_rate": 9.758566978193146e-05, + "loss": 6.7405, + "step": 538 + }, + { + "epoch": 0.3, + "learning_rate": 9.750778816199377e-05, + "loss": 6.969, + "step": 539 + }, + { + "epoch": 0.3, + "learning_rate": 9.742990654205608e-05, + "loss": 7.1081, + "step": 540 + }, + { + "epoch": 0.3, + "learning_rate": 9.735202492211839e-05, + "loss": 6.7609, + "step": 541 + }, + { + "epoch": 0.3, + "learning_rate": 9.727414330218069e-05, + "loss": 7.0737, + "step": 542 + }, + { + "epoch": 0.3, + "learning_rate": 9.7196261682243e-05, + "loss": 6.7939, + "step": 543 + }, + { + "epoch": 0.3, + "learning_rate": 9.71183800623053e-05, + "loss": 6.7633, + "step": 544 + }, + { + "epoch": 0.31, + "learning_rate": 9.704049844236761e-05, + "loss": 6.6068, + "step": 545 + }, + { + "epoch": 0.31, + "learning_rate": 9.696261682242991e-05, + "loss": 6.526, + "step": 546 + }, + { + "epoch": 0.31, + "learning_rate": 9.688473520249222e-05, + "loss": 6.9976, + "step": 547 + }, + { + "epoch": 0.31, + "learning_rate": 9.680685358255453e-05, + "loss": 6.5767, + "step": 548 + }, + { + "epoch": 0.31, + "learning_rate": 9.672897196261684e-05, + "loss": 6.3953, + "step": 549 + }, + { + "epoch": 0.31, + "learning_rate": 9.665109034267913e-05, + "loss": 6.1639, + "step": 550 + }, + { + "epoch": 0.31, + "learning_rate": 9.657320872274144e-05, + "loss": 7.1843, + "step": 551 + }, + { + "epoch": 0.31, + "learning_rate": 9.649532710280375e-05, + "loss": 7.2188, + "step": 552 + }, + { + "epoch": 0.31, + "learning_rate": 9.641744548286606e-05, + "loss": 6.9175, + "step": 553 + }, + { + "epoch": 0.31, + "learning_rate": 9.633956386292835e-05, + "loss": 6.8885, + "step": 554 + }, + { + "epoch": 0.31, + "learning_rate": 9.626168224299066e-05, + "loss": 6.9077, + "step": 555 + }, + { + "epoch": 0.31, + "learning_rate": 9.618380062305297e-05, + "loss": 6.993, + "step": 556 + }, + { + "epoch": 0.31, + "learning_rate": 9.610591900311527e-05, + "loss": 7.0176, + "step": 557 + }, + { + "epoch": 0.31, + "learning_rate": 9.602803738317758e-05, + "loss": 6.9696, + "step": 558 + }, + { + "epoch": 0.31, + "learning_rate": 9.595015576323989e-05, + "loss": 6.7144, + "step": 559 + }, + { + "epoch": 0.31, + "learning_rate": 9.587227414330218e-05, + "loss": 6.9005, + "step": 560 + }, + { + "epoch": 0.31, + "learning_rate": 9.579439252336449e-05, + "loss": 6.8746, + "step": 561 + }, + { + "epoch": 0.32, + "learning_rate": 9.571651090342679e-05, + "loss": 6.8284, + "step": 562 + }, + { + "epoch": 0.32, + "learning_rate": 9.56386292834891e-05, + "loss": 6.9093, + "step": 563 + }, + { + "epoch": 0.32, + "learning_rate": 9.55607476635514e-05, + "loss": 7.1227, + "step": 564 + }, + { + "epoch": 0.32, + "learning_rate": 9.548286604361371e-05, + "loss": 6.9711, + "step": 565 + }, + { + "epoch": 0.32, + "learning_rate": 9.540498442367601e-05, + "loss": 6.8319, + "step": 566 + }, + { + "epoch": 0.32, + "learning_rate": 9.532710280373832e-05, + "loss": 7.0507, + "step": 567 + }, + { + "epoch": 0.32, + "learning_rate": 9.524922118380063e-05, + "loss": 6.9584, + "step": 568 + }, + { + "epoch": 0.32, + "learning_rate": 9.517133956386294e-05, + "loss": 6.9772, + "step": 569 + }, + { + "epoch": 0.32, + "learning_rate": 9.509345794392523e-05, + "loss": 6.9196, + "step": 570 + }, + { + "epoch": 0.32, + "learning_rate": 9.501557632398754e-05, + "loss": 6.852, + "step": 571 + }, + { + "epoch": 0.32, + "learning_rate": 9.493769470404985e-05, + "loss": 6.8383, + "step": 572 + }, + { + "epoch": 0.32, + "learning_rate": 9.485981308411216e-05, + "loss": 6.8018, + "step": 573 + }, + { + "epoch": 0.32, + "learning_rate": 9.478193146417445e-05, + "loss": 6.7024, + "step": 574 + }, + { + "epoch": 0.32, + "learning_rate": 9.470404984423676e-05, + "loss": 6.8309, + "step": 575 + }, + { + "epoch": 0.32, + "learning_rate": 9.462616822429907e-05, + "loss": 6.9125, + "step": 576 + }, + { + "epoch": 0.32, + "learning_rate": 9.454828660436138e-05, + "loss": 6.9315, + "step": 577 + }, + { + "epoch": 0.32, + "learning_rate": 9.447040498442368e-05, + "loss": 6.7255, + "step": 578 + }, + { + "epoch": 0.32, + "learning_rate": 9.439252336448599e-05, + "loss": 7.0144, + "step": 579 + }, + { + "epoch": 0.33, + "learning_rate": 9.43146417445483e-05, + "loss": 7.0721, + "step": 580 + }, + { + "epoch": 0.33, + "learning_rate": 9.42367601246106e-05, + "loss": 6.8903, + "step": 581 + }, + { + "epoch": 0.33, + "learning_rate": 9.41588785046729e-05, + "loss": 6.8397, + "step": 582 + }, + { + "epoch": 0.33, + "learning_rate": 9.408099688473521e-05, + "loss": 6.7447, + "step": 583 + }, + { + "epoch": 0.33, + "learning_rate": 9.400311526479752e-05, + "loss": 7.039, + "step": 584 + }, + { + "epoch": 0.33, + "learning_rate": 9.392523364485983e-05, + "loss": 6.9449, + "step": 585 + }, + { + "epoch": 0.33, + "learning_rate": 9.384735202492212e-05, + "loss": 6.7055, + "step": 586 + }, + { + "epoch": 0.33, + "learning_rate": 9.376947040498443e-05, + "loss": 6.958, + "step": 587 + }, + { + "epoch": 0.33, + "learning_rate": 9.369158878504674e-05, + "loss": 6.8422, + "step": 588 + }, + { + "epoch": 0.33, + "learning_rate": 9.361370716510905e-05, + "loss": 7.0926, + "step": 589 + }, + { + "epoch": 0.33, + "learning_rate": 9.353582554517135e-05, + "loss": 7.1801, + "step": 590 + }, + { + "epoch": 0.33, + "learning_rate": 9.345794392523365e-05, + "loss": 6.9282, + "step": 591 + }, + { + "epoch": 0.33, + "learning_rate": 9.338006230529596e-05, + "loss": 6.9216, + "step": 592 + }, + { + "epoch": 0.33, + "learning_rate": 9.330218068535826e-05, + "loss": 6.5671, + "step": 593 + }, + { + "epoch": 0.33, + "learning_rate": 9.322429906542057e-05, + "loss": 6.8452, + "step": 594 + }, + { + "epoch": 0.33, + "learning_rate": 9.314641744548286e-05, + "loss": 6.7067, + "step": 595 + }, + { + "epoch": 0.33, + "learning_rate": 9.306853582554517e-05, + "loss": 6.5783, + "step": 596 + }, + { + "epoch": 0.33, + "learning_rate": 9.299065420560748e-05, + "loss": 6.5996, + "step": 597 + }, + { + "epoch": 0.34, + "learning_rate": 9.291277258566978e-05, + "loss": 6.631, + "step": 598 + }, + { + "epoch": 0.34, + "learning_rate": 9.283489096573209e-05, + "loss": 6.6143, + "step": 599 + }, + { + "epoch": 0.34, + "learning_rate": 9.27570093457944e-05, + "loss": 6.5022, + "step": 600 + }, + { + "epoch": 0.34, + "learning_rate": 9.26791277258567e-05, + "loss": 6.8367, + "step": 601 + }, + { + "epoch": 0.34, + "learning_rate": 9.2601246105919e-05, + "loss": 6.9814, + "step": 602 + }, + { + "epoch": 0.34, + "learning_rate": 9.252336448598131e-05, + "loss": 6.7794, + "step": 603 + }, + { + "epoch": 0.34, + "learning_rate": 9.244548286604362e-05, + "loss": 6.926, + "step": 604 + }, + { + "epoch": 0.34, + "learning_rate": 9.236760124610593e-05, + "loss": 6.6703, + "step": 605 + }, + { + "epoch": 0.34, + "learning_rate": 9.228971962616822e-05, + "loss": 6.8657, + "step": 606 + }, + { + "epoch": 0.34, + "learning_rate": 9.221183800623053e-05, + "loss": 7.1034, + "step": 607 + }, + { + "epoch": 0.34, + "learning_rate": 9.213395638629284e-05, + "loss": 6.7906, + "step": 608 + }, + { + "epoch": 0.34, + "learning_rate": 9.205607476635515e-05, + "loss": 6.9375, + "step": 609 + }, + { + "epoch": 0.34, + "learning_rate": 9.197819314641744e-05, + "loss": 6.7964, + "step": 610 + }, + { + "epoch": 0.34, + "learning_rate": 9.190031152647975e-05, + "loss": 7.1234, + "step": 611 + }, + { + "epoch": 0.34, + "learning_rate": 9.182242990654206e-05, + "loss": 6.8837, + "step": 612 + }, + { + "epoch": 0.34, + "learning_rate": 9.174454828660437e-05, + "loss": 6.9265, + "step": 613 + }, + { + "epoch": 0.34, + "learning_rate": 9.166666666666667e-05, + "loss": 6.9301, + "step": 614 + }, + { + "epoch": 0.34, + "learning_rate": 9.158878504672898e-05, + "loss": 6.8605, + "step": 615 + }, + { + "epoch": 0.35, + "learning_rate": 9.151090342679129e-05, + "loss": 6.8773, + "step": 616 + }, + { + "epoch": 0.35, + "learning_rate": 9.14330218068536e-05, + "loss": 6.9054, + "step": 617 + }, + { + "epoch": 0.35, + "learning_rate": 9.135514018691589e-05, + "loss": 6.649, + "step": 618 + }, + { + "epoch": 0.35, + "learning_rate": 9.12772585669782e-05, + "loss": 6.9492, + "step": 619 + }, + { + "epoch": 0.35, + "learning_rate": 9.119937694704051e-05, + "loss": 6.8695, + "step": 620 + }, + { + "epoch": 0.35, + "learning_rate": 9.112149532710282e-05, + "loss": 6.8915, + "step": 621 + }, + { + "epoch": 0.35, + "learning_rate": 9.104361370716511e-05, + "loss": 6.8622, + "step": 622 + }, + { + "epoch": 0.35, + "learning_rate": 9.096573208722742e-05, + "loss": 6.8106, + "step": 623 + }, + { + "epoch": 0.35, + "learning_rate": 9.088785046728973e-05, + "loss": 7.1176, + "step": 624 + }, + { + "epoch": 0.35, + "learning_rate": 9.080996884735204e-05, + "loss": 6.9511, + "step": 625 + }, + { + "epoch": 0.35, + "learning_rate": 9.073208722741434e-05, + "loss": 6.9133, + "step": 626 + }, + { + "epoch": 0.35, + "learning_rate": 9.065420560747664e-05, + "loss": 6.7806, + "step": 627 + }, + { + "epoch": 0.35, + "learning_rate": 9.057632398753894e-05, + "loss": 7.0308, + "step": 628 + }, + { + "epoch": 0.35, + "learning_rate": 9.049844236760125e-05, + "loss": 7.0151, + "step": 629 + }, + { + "epoch": 0.35, + "learning_rate": 9.042056074766356e-05, + "loss": 6.8086, + "step": 630 + }, + { + "epoch": 0.35, + "learning_rate": 9.034267912772585e-05, + "loss": 6.8521, + "step": 631 + }, + { + "epoch": 0.35, + "learning_rate": 9.026479750778816e-05, + "loss": 6.7231, + "step": 632 + }, + { + "epoch": 0.35, + "learning_rate": 9.018691588785047e-05, + "loss": 6.7798, + "step": 633 + }, + { + "epoch": 0.36, + "learning_rate": 9.010903426791277e-05, + "loss": 6.9465, + "step": 634 + }, + { + "epoch": 0.36, + "learning_rate": 9.003115264797508e-05, + "loss": 6.8557, + "step": 635 + }, + { + "epoch": 0.36, + "learning_rate": 8.995327102803739e-05, + "loss": 6.7445, + "step": 636 + }, + { + "epoch": 0.36, + "learning_rate": 8.98753894080997e-05, + "loss": 6.7408, + "step": 637 + }, + { + "epoch": 0.36, + "learning_rate": 8.979750778816199e-05, + "loss": 6.6449, + "step": 638 + }, + { + "epoch": 0.36, + "learning_rate": 8.97196261682243e-05, + "loss": 6.9958, + "step": 639 + }, + { + "epoch": 0.36, + "learning_rate": 8.964174454828661e-05, + "loss": 6.9706, + "step": 640 + }, + { + "epoch": 0.36, + "learning_rate": 8.956386292834892e-05, + "loss": 6.7737, + "step": 641 + }, + { + "epoch": 0.36, + "learning_rate": 8.948598130841121e-05, + "loss": 6.8188, + "step": 642 + }, + { + "epoch": 0.36, + "learning_rate": 8.940809968847352e-05, + "loss": 6.717, + "step": 643 + }, + { + "epoch": 0.36, + "learning_rate": 8.933021806853583e-05, + "loss": 6.7582, + "step": 644 + }, + { + "epoch": 0.36, + "learning_rate": 8.925233644859814e-05, + "loss": 6.3916, + "step": 645 + }, + { + "epoch": 0.36, + "learning_rate": 8.917445482866044e-05, + "loss": 6.6126, + "step": 646 + }, + { + "epoch": 0.36, + "learning_rate": 8.909657320872274e-05, + "loss": 6.6796, + "step": 647 + }, + { + "epoch": 0.36, + "learning_rate": 8.901869158878505e-05, + "loss": 6.7804, + "step": 648 + }, + { + "epoch": 0.36, + "learning_rate": 8.894080996884736e-05, + "loss": 6.8676, + "step": 649 + }, + { + "epoch": 0.36, + "learning_rate": 8.886292834890966e-05, + "loss": 6.382, + "step": 650 + }, + { + "epoch": 0.36, + "learning_rate": 8.878504672897197e-05, + "loss": 6.9376, + "step": 651 + }, + { + "epoch": 0.37, + "learning_rate": 8.870716510903428e-05, + "loss": 6.8211, + "step": 652 + }, + { + "epoch": 0.37, + "learning_rate": 8.862928348909659e-05, + "loss": 6.9026, + "step": 653 + }, + { + "epoch": 0.37, + "learning_rate": 8.855140186915888e-05, + "loss": 6.8975, + "step": 654 + }, + { + "epoch": 0.37, + "learning_rate": 8.847352024922119e-05, + "loss": 6.8237, + "step": 655 + }, + { + "epoch": 0.37, + "learning_rate": 8.83956386292835e-05, + "loss": 6.7636, + "step": 656 + }, + { + "epoch": 0.37, + "learning_rate": 8.831775700934581e-05, + "loss": 6.7447, + "step": 657 + }, + { + "epoch": 0.37, + "learning_rate": 8.82398753894081e-05, + "loss": 6.9774, + "step": 658 + }, + { + "epoch": 0.37, + "learning_rate": 8.816199376947041e-05, + "loss": 6.8717, + "step": 659 + }, + { + "epoch": 0.37, + "learning_rate": 8.808411214953272e-05, + "loss": 6.9049, + "step": 660 + }, + { + "epoch": 0.37, + "learning_rate": 8.800623052959502e-05, + "loss": 6.9356, + "step": 661 + }, + { + "epoch": 0.37, + "learning_rate": 8.792834890965733e-05, + "loss": 6.7955, + "step": 662 + }, + { + "epoch": 0.37, + "learning_rate": 8.785046728971964e-05, + "loss": 6.8461, + "step": 663 + }, + { + "epoch": 0.37, + "learning_rate": 8.777258566978193e-05, + "loss": 6.9118, + "step": 664 + }, + { + "epoch": 0.37, + "learning_rate": 8.769470404984424e-05, + "loss": 6.8114, + "step": 665 + }, + { + "epoch": 0.37, + "learning_rate": 8.761682242990654e-05, + "loss": 6.8603, + "step": 666 + }, + { + "epoch": 0.37, + "learning_rate": 8.753894080996884e-05, + "loss": 6.9247, + "step": 667 + }, + { + "epoch": 0.37, + "learning_rate": 8.746105919003115e-05, + "loss": 6.7681, + "step": 668 + }, + { + "epoch": 0.38, + "learning_rate": 8.738317757009346e-05, + "loss": 6.8088, + "step": 669 + }, + { + "epoch": 0.38, + "learning_rate": 8.730529595015576e-05, + "loss": 6.7462, + "step": 670 + }, + { + "epoch": 0.38, + "learning_rate": 8.722741433021807e-05, + "loss": 7.0845, + "step": 671 + }, + { + "epoch": 0.38, + "learning_rate": 8.714953271028038e-05, + "loss": 6.8837, + "step": 672 + }, + { + "epoch": 0.38, + "learning_rate": 8.707165109034269e-05, + "loss": 6.778, + "step": 673 + }, + { + "epoch": 0.38, + "learning_rate": 8.699376947040498e-05, + "loss": 6.758, + "step": 674 + }, + { + "epoch": 0.38, + "learning_rate": 8.691588785046729e-05, + "loss": 6.8478, + "step": 675 + }, + { + "epoch": 0.38, + "learning_rate": 8.68380062305296e-05, + "loss": 6.8756, + "step": 676 + }, + { + "epoch": 0.38, + "learning_rate": 8.676012461059191e-05, + "loss": 6.6917, + "step": 677 + }, + { + "epoch": 0.38, + "learning_rate": 8.66822429906542e-05, + "loss": 6.8888, + "step": 678 + }, + { + "epoch": 0.38, + "learning_rate": 8.660436137071651e-05, + "loss": 6.8382, + "step": 679 + }, + { + "epoch": 0.38, + "learning_rate": 8.652647975077882e-05, + "loss": 6.9166, + "step": 680 + }, + { + "epoch": 0.38, + "learning_rate": 8.644859813084113e-05, + "loss": 7.0303, + "step": 681 + }, + { + "epoch": 0.38, + "learning_rate": 8.637071651090343e-05, + "loss": 6.8108, + "step": 682 + }, + { + "epoch": 0.38, + "learning_rate": 8.629283489096574e-05, + "loss": 6.7811, + "step": 683 + }, + { + "epoch": 0.38, + "learning_rate": 8.621495327102804e-05, + "loss": 6.8667, + "step": 684 + }, + { + "epoch": 0.38, + "learning_rate": 8.613707165109035e-05, + "loss": 7.0215, + "step": 685 + }, + { + "epoch": 0.38, + "learning_rate": 8.605919003115265e-05, + "loss": 6.895, + "step": 686 + }, + { + "epoch": 0.39, + "learning_rate": 8.598130841121496e-05, + "loss": 6.7047, + "step": 687 + }, + { + "epoch": 0.39, + "learning_rate": 8.590342679127727e-05, + "loss": 6.8253, + "step": 688 + }, + { + "epoch": 0.39, + "learning_rate": 8.582554517133958e-05, + "loss": 7.0848, + "step": 689 + }, + { + "epoch": 0.39, + "learning_rate": 8.574766355140187e-05, + "loss": 6.7936, + "step": 690 + }, + { + "epoch": 0.39, + "learning_rate": 8.566978193146418e-05, + "loss": 6.7671, + "step": 691 + }, + { + "epoch": 0.39, + "learning_rate": 8.559190031152649e-05, + "loss": 6.9499, + "step": 692 + }, + { + "epoch": 0.39, + "learning_rate": 8.55140186915888e-05, + "loss": 6.8311, + "step": 693 + }, + { + "epoch": 0.39, + "learning_rate": 8.54361370716511e-05, + "loss": 6.7495, + "step": 694 + }, + { + "epoch": 0.39, + "learning_rate": 8.53582554517134e-05, + "loss": 6.8299, + "step": 695 + }, + { + "epoch": 0.39, + "learning_rate": 8.528037383177571e-05, + "loss": 6.922, + "step": 696 + }, + { + "epoch": 0.39, + "learning_rate": 8.520249221183801e-05, + "loss": 6.7502, + "step": 697 + }, + { + "epoch": 0.39, + "learning_rate": 8.512461059190032e-05, + "loss": 6.5571, + "step": 698 + }, + { + "epoch": 0.39, + "learning_rate": 8.504672897196261e-05, + "loss": 6.5687, + "step": 699 + }, + { + "epoch": 0.39, + "learning_rate": 8.496884735202492e-05, + "loss": 6.5734, + "step": 700 + }, + { + "epoch": 0.39, + "learning_rate": 8.489096573208723e-05, + "loss": 6.79, + "step": 701 + }, + { + "epoch": 0.39, + "learning_rate": 8.481308411214953e-05, + "loss": 6.8292, + "step": 702 + }, + { + "epoch": 0.39, + "learning_rate": 8.473520249221184e-05, + "loss": 6.7094, + "step": 703 + }, + { + "epoch": 0.39, + "learning_rate": 8.465732087227414e-05, + "loss": 7.0788, + "step": 704 + }, + { + "epoch": 0.4, + "learning_rate": 8.457943925233645e-05, + "loss": 6.7638, + "step": 705 + }, + { + "epoch": 0.4, + "learning_rate": 8.450155763239875e-05, + "loss": 7.0279, + "step": 706 + }, + { + "epoch": 0.4, + "learning_rate": 8.442367601246106e-05, + "loss": 6.8799, + "step": 707 + }, + { + "epoch": 0.4, + "learning_rate": 8.434579439252337e-05, + "loss": 7.0409, + "step": 708 + }, + { + "epoch": 0.4, + "learning_rate": 8.426791277258568e-05, + "loss": 6.7372, + "step": 709 + }, + { + "epoch": 0.4, + "learning_rate": 8.419003115264797e-05, + "loss": 6.903, + "step": 710 + }, + { + "epoch": 0.4, + "learning_rate": 8.411214953271028e-05, + "loss": 6.8234, + "step": 711 + }, + { + "epoch": 0.4, + "learning_rate": 8.403426791277259e-05, + "loss": 6.8567, + "step": 712 + }, + { + "epoch": 0.4, + "learning_rate": 8.39563862928349e-05, + "loss": 6.7834, + "step": 713 + }, + { + "epoch": 0.4, + "learning_rate": 8.38785046728972e-05, + "loss": 7.0614, + "step": 714 + }, + { + "epoch": 0.4, + "learning_rate": 8.38006230529595e-05, + "loss": 6.8783, + "step": 715 + }, + { + "epoch": 0.4, + "learning_rate": 8.372274143302181e-05, + "loss": 6.7742, + "step": 716 + }, + { + "epoch": 0.4, + "learning_rate": 8.364485981308412e-05, + "loss": 6.8021, + "step": 717 + }, + { + "epoch": 0.4, + "learning_rate": 8.356697819314642e-05, + "loss": 6.9017, + "step": 718 + }, + { + "epoch": 0.4, + "learning_rate": 8.348909657320873e-05, + "loss": 6.6549, + "step": 719 + }, + { + "epoch": 0.4, + "learning_rate": 8.341121495327104e-05, + "loss": 6.893, + "step": 720 + }, + { + "epoch": 0.4, + "learning_rate": 8.333333333333334e-05, + "loss": 6.9332, + "step": 721 + }, + { + "epoch": 0.4, + "learning_rate": 8.325545171339564e-05, + "loss": 7.0721, + "step": 722 + }, + { + "epoch": 0.41, + "learning_rate": 8.317757009345795e-05, + "loss": 6.9832, + "step": 723 + }, + { + "epoch": 0.41, + "learning_rate": 8.309968847352026e-05, + "loss": 6.8941, + "step": 724 + }, + { + "epoch": 0.41, + "learning_rate": 8.302180685358257e-05, + "loss": 6.8725, + "step": 725 + }, + { + "epoch": 0.41, + "learning_rate": 8.294392523364486e-05, + "loss": 6.7042, + "step": 726 + }, + { + "epoch": 0.41, + "learning_rate": 8.286604361370717e-05, + "loss": 6.52, + "step": 727 + }, + { + "epoch": 0.41, + "learning_rate": 8.278816199376948e-05, + "loss": 6.8261, + "step": 728 + }, + { + "epoch": 0.41, + "learning_rate": 8.271028037383179e-05, + "loss": 6.7406, + "step": 729 + }, + { + "epoch": 0.41, + "learning_rate": 8.263239875389408e-05, + "loss": 6.9421, + "step": 730 + }, + { + "epoch": 0.41, + "learning_rate": 8.25545171339564e-05, + "loss": 6.8402, + "step": 731 + }, + { + "epoch": 0.41, + "learning_rate": 8.24766355140187e-05, + "loss": 6.6862, + "step": 732 + }, + { + "epoch": 0.41, + "learning_rate": 8.2398753894081e-05, + "loss": 6.9255, + "step": 733 + }, + { + "epoch": 0.41, + "learning_rate": 8.232087227414331e-05, + "loss": 6.9109, + "step": 734 + }, + { + "epoch": 0.41, + "learning_rate": 8.22429906542056e-05, + "loss": 6.8192, + "step": 735 + }, + { + "epoch": 0.41, + "learning_rate": 8.216510903426791e-05, + "loss": 6.805, + "step": 736 + }, + { + "epoch": 0.41, + "learning_rate": 8.208722741433022e-05, + "loss": 6.7994, + "step": 737 + }, + { + "epoch": 0.41, + "learning_rate": 8.200934579439252e-05, + "loss": 6.812, + "step": 738 + }, + { + "epoch": 0.41, + "learning_rate": 8.193146417445483e-05, + "loss": 6.8544, + "step": 739 + }, + { + "epoch": 0.41, + "learning_rate": 8.185358255451713e-05, + "loss": 6.8513, + "step": 740 + }, + { + "epoch": 0.42, + "learning_rate": 8.177570093457944e-05, + "loss": 6.9947, + "step": 741 + }, + { + "epoch": 0.42, + "learning_rate": 8.169781931464174e-05, + "loss": 6.9098, + "step": 742 + }, + { + "epoch": 0.42, + "learning_rate": 8.161993769470405e-05, + "loss": 6.8769, + "step": 743 + }, + { + "epoch": 0.42, + "learning_rate": 8.154205607476636e-05, + "loss": 6.8678, + "step": 744 + }, + { + "epoch": 0.42, + "learning_rate": 8.146417445482867e-05, + "loss": 6.8643, + "step": 745 + }, + { + "epoch": 0.42, + "learning_rate": 8.138629283489096e-05, + "loss": 6.5046, + "step": 746 + }, + { + "epoch": 0.42, + "learning_rate": 8.130841121495327e-05, + "loss": 6.6708, + "step": 747 + }, + { + "epoch": 0.42, + "learning_rate": 8.123052959501558e-05, + "loss": 6.582, + "step": 748 + }, + { + "epoch": 0.42, + "learning_rate": 8.115264797507789e-05, + "loss": 6.4845, + "step": 749 + }, + { + "epoch": 0.42, + "learning_rate": 8.107476635514018e-05, + "loss": 6.3926, + "step": 750 + }, + { + "epoch": 0.42, + "learning_rate": 8.09968847352025e-05, + "loss": 6.9281, + "step": 751 + }, + { + "epoch": 0.42, + "learning_rate": 8.09190031152648e-05, + "loss": 6.8161, + "step": 752 + }, + { + "epoch": 0.42, + "learning_rate": 8.084112149532711e-05, + "loss": 6.8117, + "step": 753 + }, + { + "epoch": 0.42, + "learning_rate": 8.076323987538941e-05, + "loss": 6.8274, + "step": 754 + }, + { + "epoch": 0.42, + "learning_rate": 8.068535825545172e-05, + "loss": 6.7444, + "step": 755 + }, + { + "epoch": 0.42, + "learning_rate": 8.060747663551403e-05, + "loss": 6.907, + "step": 756 + }, + { + "epoch": 0.42, + "learning_rate": 8.052959501557633e-05, + "loss": 6.9038, + "step": 757 + }, + { + "epoch": 0.42, + "learning_rate": 8.045171339563863e-05, + "loss": 6.9628, + "step": 758 + }, + { + "epoch": 0.43, + "learning_rate": 8.037383177570094e-05, + "loss": 6.5955, + "step": 759 + }, + { + "epoch": 0.43, + "learning_rate": 8.029595015576325e-05, + "loss": 6.7418, + "step": 760 + }, + { + "epoch": 0.43, + "learning_rate": 8.021806853582556e-05, + "loss": 6.7781, + "step": 761 + }, + { + "epoch": 0.43, + "learning_rate": 8.014018691588785e-05, + "loss": 6.7946, + "step": 762 + }, + { + "epoch": 0.43, + "learning_rate": 8.006230529595016e-05, + "loss": 6.953, + "step": 763 + }, + { + "epoch": 0.43, + "learning_rate": 7.998442367601247e-05, + "loss": 6.7024, + "step": 764 + }, + { + "epoch": 0.43, + "learning_rate": 7.990654205607478e-05, + "loss": 6.7587, + "step": 765 + }, + { + "epoch": 0.43, + "learning_rate": 7.982866043613708e-05, + "loss": 6.6026, + "step": 766 + }, + { + "epoch": 0.43, + "learning_rate": 7.975077881619938e-05, + "loss": 6.9175, + "step": 767 + }, + { + "epoch": 0.43, + "learning_rate": 7.967289719626168e-05, + "loss": 6.7247, + "step": 768 + }, + { + "epoch": 0.43, + "learning_rate": 7.959501557632399e-05, + "loss": 6.9453, + "step": 769 + }, + { + "epoch": 0.43, + "learning_rate": 7.95171339563863e-05, + "loss": 6.746, + "step": 770 + }, + { + "epoch": 0.43, + "learning_rate": 7.94392523364486e-05, + "loss": 6.861, + "step": 771 + }, + { + "epoch": 0.43, + "learning_rate": 7.93613707165109e-05, + "loss": 6.8337, + "step": 772 + }, + { + "epoch": 0.43, + "learning_rate": 7.928348909657321e-05, + "loss": 6.7626, + "step": 773 + }, + { + "epoch": 0.43, + "learning_rate": 7.920560747663551e-05, + "loss": 6.9008, + "step": 774 + }, + { + "epoch": 0.43, + "learning_rate": 7.912772585669782e-05, + "loss": 6.7699, + "step": 775 + }, + { + "epoch": 0.43, + "learning_rate": 7.904984423676013e-05, + "loss": 6.8367, + "step": 776 + }, + { + "epoch": 0.44, + "learning_rate": 7.897196261682243e-05, + "loss": 6.7613, + "step": 777 + }, + { + "epoch": 0.44, + "learning_rate": 7.889408099688473e-05, + "loss": 6.9011, + "step": 778 + }, + { + "epoch": 0.44, + "learning_rate": 7.881619937694704e-05, + "loss": 6.8854, + "step": 779 + }, + { + "epoch": 0.44, + "learning_rate": 7.873831775700935e-05, + "loss": 6.7591, + "step": 780 + }, + { + "epoch": 0.44, + "learning_rate": 7.866043613707166e-05, + "loss": 6.9075, + "step": 781 + }, + { + "epoch": 0.44, + "learning_rate": 7.858255451713395e-05, + "loss": 6.7958, + "step": 782 + }, + { + "epoch": 0.44, + "learning_rate": 7.850467289719626e-05, + "loss": 6.8261, + "step": 783 + }, + { + "epoch": 0.44, + "learning_rate": 7.842679127725857e-05, + "loss": 6.9228, + "step": 784 + }, + { + "epoch": 0.44, + "learning_rate": 7.834890965732088e-05, + "loss": 6.713, + "step": 785 + }, + { + "epoch": 0.44, + "learning_rate": 7.827102803738318e-05, + "loss": 6.7864, + "step": 786 + }, + { + "epoch": 0.44, + "learning_rate": 7.819314641744548e-05, + "loss": 6.6038, + "step": 787 + }, + { + "epoch": 0.44, + "learning_rate": 7.81152647975078e-05, + "loss": 6.985, + "step": 788 + }, + { + "epoch": 0.44, + "learning_rate": 7.80373831775701e-05, + "loss": 6.7895, + "step": 789 + }, + { + "epoch": 0.44, + "learning_rate": 7.79595015576324e-05, + "loss": 6.9987, + "step": 790 + }, + { + "epoch": 0.44, + "learning_rate": 7.788161993769471e-05, + "loss": 6.777, + "step": 791 + }, + { + "epoch": 0.44, + "learning_rate": 7.780373831775702e-05, + "loss": 6.5008, + "step": 792 + }, + { + "epoch": 0.44, + "learning_rate": 7.772585669781933e-05, + "loss": 6.8303, + "step": 793 + }, + { + "epoch": 0.45, + "learning_rate": 7.764797507788162e-05, + "loss": 6.824, + "step": 794 + }, + { + "epoch": 0.45, + "learning_rate": 7.757009345794393e-05, + "loss": 6.726, + "step": 795 + }, + { + "epoch": 0.45, + "learning_rate": 7.749221183800624e-05, + "loss": 6.7346, + "step": 796 + }, + { + "epoch": 0.45, + "learning_rate": 7.741433021806855e-05, + "loss": 6.3834, + "step": 797 + }, + { + "epoch": 0.45, + "learning_rate": 7.733644859813084e-05, + "loss": 6.6326, + "step": 798 + }, + { + "epoch": 0.45, + "learning_rate": 7.725856697819315e-05, + "loss": 6.5849, + "step": 799 + }, + { + "epoch": 0.45, + "learning_rate": 7.718068535825546e-05, + "loss": 6.4028, + "step": 800 + }, + { + "epoch": 0.45, + "learning_rate": 7.710280373831776e-05, + "loss": 7.047, + "step": 801 + }, + { + "epoch": 0.45, + "learning_rate": 7.702492211838007e-05, + "loss": 6.9589, + "step": 802 + }, + { + "epoch": 0.45, + "learning_rate": 7.694704049844238e-05, + "loss": 6.975, + "step": 803 + }, + { + "epoch": 0.45, + "learning_rate": 7.686915887850467e-05, + "loss": 6.8137, + "step": 804 + }, + { + "epoch": 0.45, + "learning_rate": 7.679127725856698e-05, + "loss": 7.0075, + "step": 805 + }, + { + "epoch": 0.45, + "learning_rate": 7.671339563862928e-05, + "loss": 6.921, + "step": 806 + }, + { + "epoch": 0.45, + "learning_rate": 7.663551401869158e-05, + "loss": 6.7786, + "step": 807 + }, + { + "epoch": 0.45, + "learning_rate": 7.65576323987539e-05, + "loss": 6.7635, + "step": 808 + }, + { + "epoch": 0.45, + "learning_rate": 7.64797507788162e-05, + "loss": 6.9325, + "step": 809 + }, + { + "epoch": 0.45, + "learning_rate": 7.64018691588785e-05, + "loss": 7.0065, + "step": 810 + }, + { + "epoch": 0.45, + "learning_rate": 7.632398753894081e-05, + "loss": 6.9186, + "step": 811 + }, + { + "epoch": 0.46, + "learning_rate": 7.624610591900312e-05, + "loss": 6.9626, + "step": 812 + }, + { + "epoch": 0.46, + "learning_rate": 7.616822429906543e-05, + "loss": 6.8821, + "step": 813 + }, + { + "epoch": 0.46, + "learning_rate": 7.609034267912772e-05, + "loss": 6.7952, + "step": 814 + }, + { + "epoch": 0.46, + "learning_rate": 7.601246105919003e-05, + "loss": 6.8558, + "step": 815 + }, + { + "epoch": 0.46, + "learning_rate": 7.593457943925234e-05, + "loss": 6.8522, + "step": 816 + }, + { + "epoch": 0.46, + "learning_rate": 7.585669781931465e-05, + "loss": 6.8126, + "step": 817 + }, + { + "epoch": 0.46, + "learning_rate": 7.577881619937694e-05, + "loss": 6.872, + "step": 818 + }, + { + "epoch": 0.46, + "learning_rate": 7.570093457943925e-05, + "loss": 6.9824, + "step": 819 + }, + { + "epoch": 0.46, + "learning_rate": 7.562305295950156e-05, + "loss": 6.8069, + "step": 820 + }, + { + "epoch": 0.46, + "learning_rate": 7.554517133956387e-05, + "loss": 6.9705, + "step": 821 + }, + { + "epoch": 0.46, + "learning_rate": 7.546728971962617e-05, + "loss": 6.8006, + "step": 822 + }, + { + "epoch": 0.46, + "learning_rate": 7.538940809968848e-05, + "loss": 7.0144, + "step": 823 + }, + { + "epoch": 0.46, + "learning_rate": 7.531152647975078e-05, + "loss": 6.8739, + "step": 824 + }, + { + "epoch": 0.46, + "learning_rate": 7.52336448598131e-05, + "loss": 6.9057, + "step": 825 + }, + { + "epoch": 0.46, + "learning_rate": 7.515576323987539e-05, + "loss": 6.8216, + "step": 826 + }, + { + "epoch": 0.46, + "learning_rate": 7.50778816199377e-05, + "loss": 6.8907, + "step": 827 + }, + { + "epoch": 0.46, + "learning_rate": 7.500000000000001e-05, + "loss": 6.7087, + "step": 828 + }, + { + "epoch": 0.46, + "learning_rate": 7.492211838006232e-05, + "loss": 6.8379, + "step": 829 + }, + { + "epoch": 0.47, + "learning_rate": 7.484423676012463e-05, + "loss": 6.8193, + "step": 830 + }, + { + "epoch": 0.47, + "learning_rate": 7.476635514018692e-05, + "loss": 6.9904, + "step": 831 + }, + { + "epoch": 0.47, + "learning_rate": 7.468847352024923e-05, + "loss": 6.9674, + "step": 832 + }, + { + "epoch": 0.47, + "learning_rate": 7.461059190031154e-05, + "loss": 6.8443, + "step": 833 + }, + { + "epoch": 0.47, + "learning_rate": 7.453271028037383e-05, + "loss": 6.5263, + "step": 834 + }, + { + "epoch": 0.47, + "learning_rate": 7.445482866043614e-05, + "loss": 6.6699, + "step": 835 + }, + { + "epoch": 0.47, + "learning_rate": 7.437694704049845e-05, + "loss": 6.8055, + "step": 836 + }, + { + "epoch": 0.47, + "learning_rate": 7.429906542056075e-05, + "loss": 6.8522, + "step": 837 + }, + { + "epoch": 0.47, + "learning_rate": 7.422118380062306e-05, + "loss": 6.7135, + "step": 838 + }, + { + "epoch": 0.47, + "learning_rate": 7.414330218068535e-05, + "loss": 6.664, + "step": 839 + }, + { + "epoch": 0.47, + "learning_rate": 7.406542056074766e-05, + "loss": 6.8019, + "step": 840 + }, + { + "epoch": 0.47, + "learning_rate": 7.398753894080997e-05, + "loss": 6.9088, + "step": 841 + }, + { + "epoch": 0.47, + "learning_rate": 7.390965732087228e-05, + "loss": 6.8398, + "step": 842 + }, + { + "epoch": 0.47, + "learning_rate": 7.383177570093458e-05, + "loss": 6.6816, + "step": 843 + }, + { + "epoch": 0.47, + "learning_rate": 7.375389408099688e-05, + "loss": 7.0415, + "step": 844 + }, + { + "epoch": 0.47, + "learning_rate": 7.36760124610592e-05, + "loss": 6.5786, + "step": 845 + }, + { + "epoch": 0.47, + "learning_rate": 7.35981308411215e-05, + "loss": 6.5448, + "step": 846 + }, + { + "epoch": 0.47, + "learning_rate": 7.35202492211838e-05, + "loss": 6.7314, + "step": 847 + }, + { + "epoch": 0.48, + "learning_rate": 7.344236760124611e-05, + "loss": 6.7931, + "step": 848 + }, + { + "epoch": 0.48, + "learning_rate": 7.336448598130842e-05, + "loss": 6.3914, + "step": 849 + }, + { + "epoch": 0.48, + "learning_rate": 7.328660436137072e-05, + "loss": 6.3418, + "step": 850 + }, + { + "epoch": 0.48, + "learning_rate": 7.320872274143302e-05, + "loss": 6.8609, + "step": 851 + }, + { + "epoch": 0.48, + "learning_rate": 7.313084112149533e-05, + "loss": 6.8851, + "step": 852 + }, + { + "epoch": 0.48, + "learning_rate": 7.305295950155764e-05, + "loss": 6.6982, + "step": 853 + }, + { + "epoch": 0.48, + "learning_rate": 7.297507788161995e-05, + "loss": 6.8254, + "step": 854 + }, + { + "epoch": 0.48, + "learning_rate": 7.289719626168224e-05, + "loss": 6.9399, + "step": 855 + }, + { + "epoch": 0.48, + "learning_rate": 7.281931464174455e-05, + "loss": 6.8329, + "step": 856 + }, + { + "epoch": 0.48, + "learning_rate": 7.274143302180686e-05, + "loss": 6.8554, + "step": 857 + }, + { + "epoch": 0.48, + "learning_rate": 7.266355140186917e-05, + "loss": 6.9486, + "step": 858 + }, + { + "epoch": 0.48, + "learning_rate": 7.258566978193147e-05, + "loss": 6.9051, + "step": 859 + }, + { + "epoch": 0.48, + "learning_rate": 7.250778816199377e-05, + "loss": 6.9078, + "step": 860 + }, + { + "epoch": 0.48, + "learning_rate": 7.242990654205608e-05, + "loss": 6.7512, + "step": 861 + }, + { + "epoch": 0.48, + "learning_rate": 7.235202492211839e-05, + "loss": 6.6674, + "step": 862 + }, + { + "epoch": 0.48, + "learning_rate": 7.227414330218069e-05, + "loss": 6.6444, + "step": 863 + }, + { + "epoch": 0.48, + "learning_rate": 7.2196261682243e-05, + "loss": 6.6035, + "step": 864 + }, + { + "epoch": 0.48, + "learning_rate": 7.21183800623053e-05, + "loss": 6.723, + "step": 865 + }, + { + "epoch": 0.49, + "learning_rate": 7.204049844236762e-05, + "loss": 6.8679, + "step": 866 + }, + { + "epoch": 0.49, + "learning_rate": 7.196261682242991e-05, + "loss": 6.7285, + "step": 867 + }, + { + "epoch": 0.49, + "learning_rate": 7.188473520249222e-05, + "loss": 6.7685, + "step": 868 + }, + { + "epoch": 0.49, + "learning_rate": 7.180685358255453e-05, + "loss": 6.8252, + "step": 869 + }, + { + "epoch": 0.49, + "learning_rate": 7.172897196261682e-05, + "loss": 6.8381, + "step": 870 + }, + { + "epoch": 0.49, + "learning_rate": 7.165109034267913e-05, + "loss": 6.8428, + "step": 871 + }, + { + "epoch": 0.49, + "learning_rate": 7.157320872274143e-05, + "loss": 6.8216, + "step": 872 + }, + { + "epoch": 0.49, + "learning_rate": 7.149532710280374e-05, + "loss": 6.8508, + "step": 873 + }, + { + "epoch": 0.49, + "learning_rate": 7.141744548286605e-05, + "loss": 6.8354, + "step": 874 + }, + { + "epoch": 0.49, + "learning_rate": 7.133956386292834e-05, + "loss": 7.1515, + "step": 875 + }, + { + "epoch": 0.49, + "learning_rate": 7.126168224299065e-05, + "loss": 6.8919, + "step": 876 + }, + { + "epoch": 0.49, + "learning_rate": 7.118380062305296e-05, + "loss": 7.0091, + "step": 877 + }, + { + "epoch": 0.49, + "learning_rate": 7.110591900311527e-05, + "loss": 6.834, + "step": 878 + }, + { + "epoch": 0.49, + "learning_rate": 7.102803738317757e-05, + "loss": 6.682, + "step": 879 + }, + { + "epoch": 0.49, + "learning_rate": 7.095015576323987e-05, + "loss": 6.9469, + "step": 880 + }, + { + "epoch": 0.49, + "learning_rate": 7.087227414330218e-05, + "loss": 6.885, + "step": 881 + }, + { + "epoch": 0.49, + "learning_rate": 7.079439252336449e-05, + "loss": 6.5958, + "step": 882 + }, + { + "epoch": 0.49, + "learning_rate": 7.071651090342679e-05, + "loss": 6.8998, + "step": 883 + }, + { + "epoch": 0.5, + "learning_rate": 7.06386292834891e-05, + "loss": 6.8147, + "step": 884 + }, + { + "epoch": 0.5, + "learning_rate": 7.05607476635514e-05, + "loss": 6.943, + "step": 885 + }, + { + "epoch": 0.5, + "learning_rate": 7.048286604361372e-05, + "loss": 7.039, + "step": 886 + }, + { + "epoch": 0.5, + "learning_rate": 7.040498442367601e-05, + "loss": 6.8876, + "step": 887 + }, + { + "epoch": 0.5, + "learning_rate": 7.032710280373832e-05, + "loss": 6.7416, + "step": 888 + }, + { + "epoch": 0.5, + "learning_rate": 7.024922118380063e-05, + "loss": 6.7203, + "step": 889 + }, + { + "epoch": 0.5, + "learning_rate": 7.017133956386294e-05, + "loss": 6.7907, + "step": 890 + }, + { + "epoch": 0.5, + "learning_rate": 7.009345794392523e-05, + "loss": 6.7941, + "step": 891 + }, + { + "epoch": 0.5, + "learning_rate": 7.001557632398754e-05, + "loss": 6.8814, + "step": 892 + }, + { + "epoch": 0.5, + "learning_rate": 6.993769470404985e-05, + "loss": 6.8096, + "step": 893 + }, + { + "epoch": 0.5, + "learning_rate": 6.985981308411216e-05, + "loss": 6.7377, + "step": 894 + }, + { + "epoch": 0.5, + "learning_rate": 6.978193146417446e-05, + "loss": 6.6372, + "step": 895 + }, + { + "epoch": 0.5, + "learning_rate": 6.970404984423677e-05, + "loss": 6.6401, + "step": 896 + }, + { + "epoch": 0.5, + "learning_rate": 6.962616822429907e-05, + "loss": 6.4068, + "step": 897 + }, + { + "epoch": 0.5, + "learning_rate": 6.954828660436138e-05, + "loss": 6.7655, + "step": 898 + }, + { + "epoch": 0.5, + "learning_rate": 6.947040498442368e-05, + "loss": 6.1363, + "step": 899 + }, + { + "epoch": 0.5, + "learning_rate": 6.939252336448599e-05, + "loss": 6.3524, + "step": 900 + }, + { + "epoch": 0.51, + "learning_rate": 6.93146417445483e-05, + "loss": 6.7357, + "step": 901 + }, + { + "epoch": 0.51, + "learning_rate": 6.92367601246106e-05, + "loss": 6.9655, + "step": 902 + }, + { + "epoch": 0.51, + "learning_rate": 6.91588785046729e-05, + "loss": 6.9704, + "step": 903 + }, + { + "epoch": 0.51, + "learning_rate": 6.908099688473521e-05, + "loss": 6.788, + "step": 904 + }, + { + "epoch": 0.51, + "learning_rate": 6.90031152647975e-05, + "loss": 7.0225, + "step": 905 + }, + { + "epoch": 0.51, + "learning_rate": 6.892523364485982e-05, + "loss": 7.074, + "step": 906 + }, + { + "epoch": 0.51, + "learning_rate": 6.884735202492212e-05, + "loss": 6.8425, + "step": 907 + }, + { + "epoch": 0.51, + "learning_rate": 6.876947040498442e-05, + "loss": 6.7058, + "step": 908 + }, + { + "epoch": 0.51, + "learning_rate": 6.869158878504673e-05, + "loss": 6.9454, + "step": 909 + }, + { + "epoch": 0.51, + "learning_rate": 6.861370716510904e-05, + "loss": 6.8068, + "step": 910 + }, + { + "epoch": 0.51, + "learning_rate": 6.853582554517133e-05, + "loss": 7.0257, + "step": 911 + }, + { + "epoch": 0.51, + "learning_rate": 6.845794392523364e-05, + "loss": 6.7646, + "step": 912 + }, + { + "epoch": 0.51, + "learning_rate": 6.838006230529595e-05, + "loss": 6.7171, + "step": 913 + }, + { + "epoch": 0.51, + "learning_rate": 6.830218068535826e-05, + "loss": 6.9144, + "step": 914 + }, + { + "epoch": 0.51, + "learning_rate": 6.822429906542056e-05, + "loss": 6.8228, + "step": 915 + }, + { + "epoch": 0.51, + "learning_rate": 6.814641744548287e-05, + "loss": 6.6986, + "step": 916 + }, + { + "epoch": 0.51, + "learning_rate": 6.806853582554517e-05, + "loss": 6.7164, + "step": 917 + }, + { + "epoch": 0.51, + "learning_rate": 6.799065420560748e-05, + "loss": 6.915, + "step": 918 + }, + { + "epoch": 0.52, + "learning_rate": 6.791277258566978e-05, + "loss": 6.8022, + "step": 919 + }, + { + "epoch": 0.52, + "learning_rate": 6.783489096573209e-05, + "loss": 6.6838, + "step": 920 + }, + { + "epoch": 0.52, + "learning_rate": 6.77570093457944e-05, + "loss": 6.8513, + "step": 921 + }, + { + "epoch": 0.52, + "learning_rate": 6.76791277258567e-05, + "loss": 6.5992, + "step": 922 + }, + { + "epoch": 0.52, + "learning_rate": 6.7601246105919e-05, + "loss": 6.6761, + "step": 923 + }, + { + "epoch": 0.52, + "learning_rate": 6.752336448598131e-05, + "loss": 6.8706, + "step": 924 + }, + { + "epoch": 0.52, + "learning_rate": 6.744548286604362e-05, + "loss": 6.8081, + "step": 925 + }, + { + "epoch": 0.52, + "learning_rate": 6.736760124610593e-05, + "loss": 6.9297, + "step": 926 + }, + { + "epoch": 0.52, + "learning_rate": 6.728971962616822e-05, + "loss": 6.7386, + "step": 927 + }, + { + "epoch": 0.52, + "learning_rate": 6.721183800623053e-05, + "loss": 6.7248, + "step": 928 + }, + { + "epoch": 0.52, + "learning_rate": 6.713395638629284e-05, + "loss": 6.7868, + "step": 929 + }, + { + "epoch": 0.52, + "learning_rate": 6.705607476635515e-05, + "loss": 6.8418, + "step": 930 + }, + { + "epoch": 0.52, + "learning_rate": 6.697819314641745e-05, + "loss": 6.8838, + "step": 931 + }, + { + "epoch": 0.52, + "learning_rate": 6.690031152647976e-05, + "loss": 6.9916, + "step": 932 + }, + { + "epoch": 0.52, + "learning_rate": 6.682242990654207e-05, + "loss": 6.643, + "step": 933 + }, + { + "epoch": 0.52, + "learning_rate": 6.674454828660437e-05, + "loss": 6.9304, + "step": 934 + }, + { + "epoch": 0.52, + "learning_rate": 6.666666666666667e-05, + "loss": 6.7734, + "step": 935 + }, + { + "epoch": 0.52, + "learning_rate": 6.658878504672898e-05, + "loss": 6.8865, + "step": 936 + }, + { + "epoch": 0.53, + "learning_rate": 6.651090342679129e-05, + "loss": 6.8812, + "step": 937 + }, + { + "epoch": 0.53, + "learning_rate": 6.64330218068536e-05, + "loss": 6.7532, + "step": 938 + }, + { + "epoch": 0.53, + "learning_rate": 6.635514018691589e-05, + "loss": 6.5505, + "step": 939 + }, + { + "epoch": 0.53, + "learning_rate": 6.62772585669782e-05, + "loss": 6.9744, + "step": 940 + }, + { + "epoch": 0.53, + "learning_rate": 6.61993769470405e-05, + "loss": 6.8858, + "step": 941 + }, + { + "epoch": 0.53, + "learning_rate": 6.61214953271028e-05, + "loss": 6.7348, + "step": 942 + }, + { + "epoch": 0.53, + "learning_rate": 6.60436137071651e-05, + "loss": 6.9998, + "step": 943 + }, + { + "epoch": 0.53, + "learning_rate": 6.596573208722741e-05, + "loss": 6.6454, + "step": 944 + }, + { + "epoch": 0.53, + "learning_rate": 6.588785046728972e-05, + "loss": 6.9375, + "step": 945 + }, + { + "epoch": 0.53, + "learning_rate": 6.580996884735203e-05, + "loss": 6.719, + "step": 946 + }, + { + "epoch": 0.53, + "learning_rate": 6.573208722741432e-05, + "loss": 6.309, + "step": 947 + }, + { + "epoch": 0.53, + "learning_rate": 6.565420560747663e-05, + "loss": 6.6762, + "step": 948 + }, + { + "epoch": 0.53, + "learning_rate": 6.557632398753894e-05, + "loss": 6.9591, + "step": 949 + }, + { + "epoch": 0.53, + "learning_rate": 6.549844236760125e-05, + "loss": 6.0143, + "step": 950 + }, + { + "epoch": 0.53, + "learning_rate": 6.542056074766355e-05, + "loss": 6.8788, + "step": 951 + }, + { + "epoch": 0.53, + "learning_rate": 6.534267912772586e-05, + "loss": 6.9095, + "step": 952 + }, + { + "epoch": 0.53, + "learning_rate": 6.526479750778817e-05, + "loss": 6.9366, + "step": 953 + }, + { + "epoch": 0.53, + "learning_rate": 6.518691588785047e-05, + "loss": 6.7532, + "step": 954 + }, + { + "epoch": 0.54, + "learning_rate": 6.510903426791277e-05, + "loss": 6.7928, + "step": 955 + }, + { + "epoch": 0.54, + "learning_rate": 6.503115264797508e-05, + "loss": 6.8576, + "step": 956 + }, + { + "epoch": 0.54, + "learning_rate": 6.495327102803739e-05, + "loss": 6.8567, + "step": 957 + }, + { + "epoch": 0.54, + "learning_rate": 6.48753894080997e-05, + "loss": 6.7468, + "step": 958 + }, + { + "epoch": 0.54, + "learning_rate": 6.479750778816199e-05, + "loss": 6.9872, + "step": 959 + }, + { + "epoch": 0.54, + "learning_rate": 6.47196261682243e-05, + "loss": 6.7309, + "step": 960 + }, + { + "epoch": 0.54, + "learning_rate": 6.464174454828661e-05, + "loss": 6.7268, + "step": 961 + }, + { + "epoch": 0.54, + "learning_rate": 6.456386292834892e-05, + "loss": 6.8677, + "step": 962 + }, + { + "epoch": 0.54, + "learning_rate": 6.448598130841122e-05, + "loss": 6.775, + "step": 963 + }, + { + "epoch": 0.54, + "learning_rate": 6.440809968847352e-05, + "loss": 6.7498, + "step": 964 + }, + { + "epoch": 0.54, + "learning_rate": 6.433021806853583e-05, + "loss": 6.7405, + "step": 965 + }, + { + "epoch": 0.54, + "learning_rate": 6.425233644859814e-05, + "loss": 6.6689, + "step": 966 + }, + { + "epoch": 0.54, + "learning_rate": 6.417445482866044e-05, + "loss": 6.8577, + "step": 967 + }, + { + "epoch": 0.54, + "learning_rate": 6.409657320872275e-05, + "loss": 6.7889, + "step": 968 + }, + { + "epoch": 0.54, + "learning_rate": 6.401869158878506e-05, + "loss": 6.9624, + "step": 969 + }, + { + "epoch": 0.54, + "learning_rate": 6.394080996884737e-05, + "loss": 6.6506, + "step": 970 + }, + { + "epoch": 0.54, + "learning_rate": 6.386292834890966e-05, + "loss": 6.8833, + "step": 971 + }, + { + "epoch": 0.54, + "learning_rate": 6.378504672897197e-05, + "loss": 6.8509, + "step": 972 + }, + { + "epoch": 0.55, + "learning_rate": 6.370716510903428e-05, + "loss": 6.8744, + "step": 973 + }, + { + "epoch": 0.55, + "learning_rate": 6.362928348909657e-05, + "loss": 7.0174, + "step": 974 + }, + { + "epoch": 0.55, + "learning_rate": 6.355140186915888e-05, + "loss": 6.8306, + "step": 975 + }, + { + "epoch": 0.55, + "learning_rate": 6.347352024922119e-05, + "loss": 6.6668, + "step": 976 + }, + { + "epoch": 0.55, + "learning_rate": 6.339563862928349e-05, + "loss": 7.106, + "step": 977 + }, + { + "epoch": 0.55, + "learning_rate": 6.33177570093458e-05, + "loss": 6.8451, + "step": 978 + }, + { + "epoch": 0.55, + "learning_rate": 6.323987538940809e-05, + "loss": 6.7461, + "step": 979 + }, + { + "epoch": 0.55, + "learning_rate": 6.31619937694704e-05, + "loss": 6.6756, + "step": 980 + }, + { + "epoch": 0.55, + "learning_rate": 6.308411214953271e-05, + "loss": 6.504, + "step": 981 + }, + { + "epoch": 0.55, + "learning_rate": 6.300623052959502e-05, + "loss": 6.6958, + "step": 982 + }, + { + "epoch": 0.55, + "learning_rate": 6.292834890965732e-05, + "loss": 6.9021, + "step": 983 + }, + { + "epoch": 0.55, + "learning_rate": 6.285046728971962e-05, + "loss": 6.8218, + "step": 984 + }, + { + "epoch": 0.55, + "learning_rate": 6.277258566978193e-05, + "loss": 6.6677, + "step": 985 + }, + { + "epoch": 0.55, + "learning_rate": 6.269470404984424e-05, + "loss": 6.8899, + "step": 986 + }, + { + "epoch": 0.55, + "learning_rate": 6.261682242990654e-05, + "loss": 6.9077, + "step": 987 + }, + { + "epoch": 0.55, + "learning_rate": 6.253894080996885e-05, + "loss": 6.7617, + "step": 988 + }, + { + "epoch": 0.55, + "learning_rate": 6.246105919003116e-05, + "loss": 7.1058, + "step": 989 + }, + { + "epoch": 0.55, + "learning_rate": 6.238317757009346e-05, + "loss": 6.7343, + "step": 990 + }, + { + "epoch": 0.56, + "learning_rate": 6.230529595015576e-05, + "loss": 6.6018, + "step": 991 + }, + { + "epoch": 0.56, + "learning_rate": 6.222741433021807e-05, + "loss": 6.958, + "step": 992 + }, + { + "epoch": 0.56, + "learning_rate": 6.214953271028038e-05, + "loss": 6.6786, + "step": 993 + }, + { + "epoch": 0.56, + "learning_rate": 6.207165109034269e-05, + "loss": 6.7557, + "step": 994 + }, + { + "epoch": 0.56, + "learning_rate": 6.199376947040498e-05, + "loss": 6.7065, + "step": 995 + }, + { + "epoch": 0.56, + "learning_rate": 6.191588785046729e-05, + "loss": 6.3056, + "step": 996 + }, + { + "epoch": 0.56, + "learning_rate": 6.18380062305296e-05, + "loss": 6.323, + "step": 997 + }, + { + "epoch": 0.56, + "learning_rate": 6.176012461059191e-05, + "loss": 7.0721, + "step": 998 + }, + { + "epoch": 0.56, + "learning_rate": 6.16822429906542e-05, + "loss": 6.6362, + "step": 999 + }, + { + "epoch": 0.56, + "learning_rate": 6.160436137071651e-05, + "loss": 6.4594, + "step": 1000 + }, + { + "epoch": 0.56, + "eval_loss": 6.71768856048584, + "eval_runtime": 913.7734, + "eval_samples_per_second": 2.891, + "eval_steps_per_second": 0.362, + "eval_wer": 1.470444669325555, + "step": 1000 + }, + { + "epoch": 0.56, + "learning_rate": 6.152647975077882e-05, + "loss": 7.0822, + "step": 1001 + }, + { + "epoch": 0.56, + "learning_rate": 6.144859813084113e-05, + "loss": 6.8131, + "step": 1002 + }, + { + "epoch": 0.56, + "learning_rate": 6.137071651090343e-05, + "loss": 6.8633, + "step": 1003 + }, + { + "epoch": 0.56, + "learning_rate": 6.129283489096574e-05, + "loss": 6.9075, + "step": 1004 + }, + { + "epoch": 0.56, + "learning_rate": 6.121495327102805e-05, + "loss": 7.0231, + "step": 1005 + }, + { + "epoch": 0.56, + "learning_rate": 6.113707165109036e-05, + "loss": 6.9424, + "step": 1006 + }, + { + "epoch": 0.56, + "learning_rate": 6.105919003115265e-05, + "loss": 6.8085, + "step": 1007 + }, + { + "epoch": 0.57, + "learning_rate": 6.0981308411214953e-05, + "loss": 6.7931, + "step": 1008 + }, + { + "epoch": 0.57, + "learning_rate": 6.090342679127726e-05, + "loss": 6.7629, + "step": 1009 + }, + { + "epoch": 0.57, + "learning_rate": 6.082554517133957e-05, + "loss": 6.7918, + "step": 1010 + }, + { + "epoch": 0.57, + "learning_rate": 6.074766355140187e-05, + "loss": 6.7224, + "step": 1011 + }, + { + "epoch": 0.57, + "learning_rate": 6.0669781931464176e-05, + "loss": 6.9353, + "step": 1012 + }, + { + "epoch": 0.57, + "learning_rate": 6.0591900311526485e-05, + "loss": 6.7207, + "step": 1013 + }, + { + "epoch": 0.57, + "learning_rate": 6.0514018691588794e-05, + "loss": 6.9447, + "step": 1014 + }, + { + "epoch": 0.57, + "learning_rate": 6.043613707165109e-05, + "loss": 6.831, + "step": 1015 + }, + { + "epoch": 0.57, + "learning_rate": 6.03582554517134e-05, + "loss": 6.6729, + "step": 1016 + }, + { + "epoch": 0.57, + "learning_rate": 6.028037383177571e-05, + "loss": 6.7937, + "step": 1017 + }, + { + "epoch": 0.57, + "learning_rate": 6.020249221183801e-05, + "loss": 6.7578, + "step": 1018 + }, + { + "epoch": 0.57, + "learning_rate": 6.012461059190031e-05, + "loss": 7.0527, + "step": 1019 + }, + { + "epoch": 0.57, + "learning_rate": 6.0046728971962615e-05, + "loss": 6.9404, + "step": 1020 + }, + { + "epoch": 0.57, + "learning_rate": 5.9968847352024924e-05, + "loss": 6.8369, + "step": 1021 + }, + { + "epoch": 0.57, + "learning_rate": 5.989096573208723e-05, + "loss": 6.7157, + "step": 1022 + }, + { + "epoch": 0.57, + "learning_rate": 5.981308411214953e-05, + "loss": 6.6451, + "step": 1023 + }, + { + "epoch": 0.57, + "learning_rate": 5.973520249221184e-05, + "loss": 6.7113, + "step": 1024 + }, + { + "epoch": 0.57, + "learning_rate": 5.9657320872274146e-05, + "loss": 6.9228, + "step": 1025 + }, + { + "epoch": 0.58, + "learning_rate": 5.9579439252336456e-05, + "loss": 6.7246, + "step": 1026 + }, + { + "epoch": 0.58, + "learning_rate": 5.950155763239875e-05, + "loss": 6.8818, + "step": 1027 + }, + { + "epoch": 0.58, + "learning_rate": 5.942367601246106e-05, + "loss": 6.9532, + "step": 1028 + }, + { + "epoch": 0.58, + "learning_rate": 5.934579439252337e-05, + "loss": 6.7985, + "step": 1029 + }, + { + "epoch": 0.58, + "learning_rate": 5.926791277258568e-05, + "loss": 6.8957, + "step": 1030 + }, + { + "epoch": 0.58, + "learning_rate": 5.9190031152647974e-05, + "loss": 6.7775, + "step": 1031 + }, + { + "epoch": 0.58, + "learning_rate": 5.911214953271028e-05, + "loss": 6.8185, + "step": 1032 + }, + { + "epoch": 0.58, + "learning_rate": 5.903426791277259e-05, + "loss": 6.7675, + "step": 1033 + }, + { + "epoch": 0.58, + "learning_rate": 5.89563862928349e-05, + "loss": 6.6111, + "step": 1034 + }, + { + "epoch": 0.58, + "learning_rate": 5.8878504672897196e-05, + "loss": 6.7393, + "step": 1035 + }, + { + "epoch": 0.58, + "learning_rate": 5.8800623052959505e-05, + "loss": 6.8334, + "step": 1036 + }, + { + "epoch": 0.58, + "learning_rate": 5.872274143302181e-05, + "loss": 6.551, + "step": 1037 + }, + { + "epoch": 0.58, + "learning_rate": 5.864485981308412e-05, + "loss": 6.8451, + "step": 1038 + }, + { + "epoch": 0.58, + "learning_rate": 5.856697819314641e-05, + "loss": 6.8282, + "step": 1039 + }, + { + "epoch": 0.58, + "learning_rate": 5.848909657320872e-05, + "loss": 6.7903, + "step": 1040 + }, + { + "epoch": 0.58, + "learning_rate": 5.841121495327103e-05, + "loss": 6.9499, + "step": 1041 + }, + { + "epoch": 0.58, + "learning_rate": 5.833333333333334e-05, + "loss": 6.6953, + "step": 1042 + }, + { + "epoch": 0.58, + "learning_rate": 5.8255451713395635e-05, + "loss": 6.659, + "step": 1043 + }, + { + "epoch": 0.59, + "learning_rate": 5.8177570093457944e-05, + "loss": 6.7088, + "step": 1044 + }, + { + "epoch": 0.59, + "learning_rate": 5.809968847352025e-05, + "loss": 6.85, + "step": 1045 + }, + { + "epoch": 0.59, + "learning_rate": 5.802180685358256e-05, + "loss": 6.7072, + "step": 1046 + }, + { + "epoch": 0.59, + "learning_rate": 5.794392523364486e-05, + "loss": 6.6948, + "step": 1047 + }, + { + "epoch": 0.59, + "learning_rate": 5.786604361370717e-05, + "loss": 6.3604, + "step": 1048 + }, + { + "epoch": 0.59, + "learning_rate": 5.7788161993769476e-05, + "loss": 6.2727, + "step": 1049 + }, + { + "epoch": 0.59, + "learning_rate": 5.7710280373831785e-05, + "loss": 6.7958, + "step": 1050 + }, + { + "epoch": 0.59, + "learning_rate": 5.763239875389408e-05, + "loss": 7.1558, + "step": 1051 + }, + { + "epoch": 0.59, + "learning_rate": 5.755451713395639e-05, + "loss": 6.757, + "step": 1052 + }, + { + "epoch": 0.59, + "learning_rate": 5.74766355140187e-05, + "loss": 6.778, + "step": 1053 + }, + { + "epoch": 0.59, + "learning_rate": 5.7398753894081e-05, + "loss": 6.8464, + "step": 1054 + }, + { + "epoch": 0.59, + "learning_rate": 5.73208722741433e-05, + "loss": 6.8851, + "step": 1055 + }, + { + "epoch": 0.59, + "learning_rate": 5.7242990654205605e-05, + "loss": 6.8925, + "step": 1056 + }, + { + "epoch": 0.59, + "learning_rate": 5.7165109034267914e-05, + "loss": 6.9586, + "step": 1057 + }, + { + "epoch": 0.59, + "learning_rate": 5.7087227414330223e-05, + "loss": 6.7784, + "step": 1058 + }, + { + "epoch": 0.59, + "learning_rate": 5.700934579439252e-05, + "loss": 6.8225, + "step": 1059 + }, + { + "epoch": 0.59, + "learning_rate": 5.693146417445483e-05, + "loss": 6.8422, + "step": 1060 + }, + { + "epoch": 0.59, + "learning_rate": 5.685358255451714e-05, + "loss": 6.8674, + "step": 1061 + }, + { + "epoch": 0.6, + "learning_rate": 5.6775700934579446e-05, + "loss": 6.8149, + "step": 1062 + }, + { + "epoch": 0.6, + "learning_rate": 5.669781931464174e-05, + "loss": 7.0834, + "step": 1063 + }, + { + "epoch": 0.6, + "learning_rate": 5.661993769470405e-05, + "loss": 6.7002, + "step": 1064 + }, + { + "epoch": 0.6, + "learning_rate": 5.654205607476636e-05, + "loss": 6.9505, + "step": 1065 + }, + { + "epoch": 0.6, + "learning_rate": 5.646417445482867e-05, + "loss": 6.5579, + "step": 1066 + }, + { + "epoch": 0.6, + "learning_rate": 5.6386292834890964e-05, + "loss": 7.0764, + "step": 1067 + }, + { + "epoch": 0.6, + "learning_rate": 5.6308411214953273e-05, + "loss": 6.7833, + "step": 1068 + }, + { + "epoch": 0.6, + "learning_rate": 5.623052959501558e-05, + "loss": 6.8208, + "step": 1069 + }, + { + "epoch": 0.6, + "learning_rate": 5.6152647975077885e-05, + "loss": 6.8433, + "step": 1070 + }, + { + "epoch": 0.6, + "learning_rate": 5.607476635514019e-05, + "loss": 6.7344, + "step": 1071 + }, + { + "epoch": 0.6, + "learning_rate": 5.5996884735202496e-05, + "loss": 6.6265, + "step": 1072 + }, + { + "epoch": 0.6, + "learning_rate": 5.59190031152648e-05, + "loss": 6.8649, + "step": 1073 + }, + { + "epoch": 0.6, + "learning_rate": 5.584112149532711e-05, + "loss": 6.8588, + "step": 1074 + }, + { + "epoch": 0.6, + "learning_rate": 5.57632398753894e-05, + "loss": 6.7167, + "step": 1075 + }, + { + "epoch": 0.6, + "learning_rate": 5.568535825545171e-05, + "loss": 6.8217, + "step": 1076 + }, + { + "epoch": 0.6, + "learning_rate": 5.560747663551402e-05, + "loss": 6.7223, + "step": 1077 + }, + { + "epoch": 0.6, + "learning_rate": 5.552959501557633e-05, + "loss": 6.7281, + "step": 1078 + }, + { + "epoch": 0.6, + "learning_rate": 5.5451713395638626e-05, + "loss": 6.9123, + "step": 1079 + }, + { + "epoch": 0.61, + "learning_rate": 5.5373831775700935e-05, + "loss": 6.7693, + "step": 1080 + }, + { + "epoch": 0.61, + "learning_rate": 5.5295950155763244e-05, + "loss": 6.7747, + "step": 1081 + }, + { + "epoch": 0.61, + "learning_rate": 5.521806853582555e-05, + "loss": 6.7762, + "step": 1082 + }, + { + "epoch": 0.61, + "learning_rate": 5.514018691588785e-05, + "loss": 6.7199, + "step": 1083 + }, + { + "epoch": 0.61, + "learning_rate": 5.506230529595016e-05, + "loss": 6.8998, + "step": 1084 + }, + { + "epoch": 0.61, + "learning_rate": 5.4984423676012466e-05, + "loss": 6.7387, + "step": 1085 + }, + { + "epoch": 0.61, + "learning_rate": 5.4906542056074776e-05, + "loss": 6.9027, + "step": 1086 + }, + { + "epoch": 0.61, + "learning_rate": 5.482866043613707e-05, + "loss": 6.9936, + "step": 1087 + }, + { + "epoch": 0.61, + "learning_rate": 5.475077881619938e-05, + "loss": 6.8707, + "step": 1088 + }, + { + "epoch": 0.61, + "learning_rate": 5.467289719626168e-05, + "loss": 6.9524, + "step": 1089 + }, + { + "epoch": 0.61, + "learning_rate": 5.459501557632399e-05, + "loss": 6.7717, + "step": 1090 + }, + { + "epoch": 0.61, + "learning_rate": 5.4517133956386294e-05, + "loss": 6.8699, + "step": 1091 + }, + { + "epoch": 0.61, + "learning_rate": 5.4439252336448596e-05, + "loss": 6.9171, + "step": 1092 + }, + { + "epoch": 0.61, + "learning_rate": 5.4361370716510905e-05, + "loss": 6.7668, + "step": 1093 + }, + { + "epoch": 0.61, + "learning_rate": 5.4283489096573214e-05, + "loss": 6.491, + "step": 1094 + }, + { + "epoch": 0.61, + "learning_rate": 5.420560747663551e-05, + "loss": 6.6993, + "step": 1095 + }, + { + "epoch": 0.61, + "learning_rate": 5.412772585669782e-05, + "loss": 6.5826, + "step": 1096 + }, + { + "epoch": 0.61, + "learning_rate": 5.404984423676013e-05, + "loss": 6.741, + "step": 1097 + }, + { + "epoch": 0.62, + "learning_rate": 5.397196261682244e-05, + "loss": 6.9419, + "step": 1098 + }, + { + "epoch": 0.62, + "learning_rate": 5.389408099688473e-05, + "loss": 6.5356, + "step": 1099 + }, + { + "epoch": 0.62, + "learning_rate": 5.381619937694704e-05, + "loss": 6.1933, + "step": 1100 + }, + { + "epoch": 0.62, + "learning_rate": 5.373831775700935e-05, + "loss": 6.6941, + "step": 1101 + }, + { + "epoch": 0.62, + "learning_rate": 5.366043613707166e-05, + "loss": 6.9154, + "step": 1102 + }, + { + "epoch": 0.62, + "learning_rate": 5.3582554517133955e-05, + "loss": 6.9298, + "step": 1103 + }, + { + "epoch": 0.62, + "learning_rate": 5.3504672897196264e-05, + "loss": 6.7676, + "step": 1104 + }, + { + "epoch": 0.62, + "learning_rate": 5.342679127725857e-05, + "loss": 6.7064, + "step": 1105 + }, + { + "epoch": 0.62, + "learning_rate": 5.3348909657320875e-05, + "loss": 6.6839, + "step": 1106 + }, + { + "epoch": 0.62, + "learning_rate": 5.327102803738318e-05, + "loss": 6.8213, + "step": 1107 + }, + { + "epoch": 0.62, + "learning_rate": 5.319314641744548e-05, + "loss": 6.8041, + "step": 1108 + }, + { + "epoch": 0.62, + "learning_rate": 5.311526479750779e-05, + "loss": 6.8511, + "step": 1109 + }, + { + "epoch": 0.62, + "learning_rate": 5.30373831775701e-05, + "loss": 6.8086, + "step": 1110 + }, + { + "epoch": 0.62, + "learning_rate": 5.2959501557632394e-05, + "loss": 6.7143, + "step": 1111 + }, + { + "epoch": 0.62, + "learning_rate": 5.28816199376947e-05, + "loss": 6.8243, + "step": 1112 + }, + { + "epoch": 0.62, + "learning_rate": 5.280373831775701e-05, + "loss": 6.7176, + "step": 1113 + }, + { + "epoch": 0.62, + "learning_rate": 5.272585669781932e-05, + "loss": 6.8678, + "step": 1114 + }, + { + "epoch": 0.62, + "learning_rate": 5.2647975077881616e-05, + "loss": 6.8847, + "step": 1115 + }, + { + "epoch": 0.63, + "learning_rate": 5.2570093457943925e-05, + "loss": 6.5607, + "step": 1116 + }, + { + "epoch": 0.63, + "learning_rate": 5.2492211838006234e-05, + "loss": 6.6599, + "step": 1117 + }, + { + "epoch": 0.63, + "learning_rate": 5.2414330218068543e-05, + "loss": 6.8232, + "step": 1118 + }, + { + "epoch": 0.63, + "learning_rate": 5.233644859813084e-05, + "loss": 6.8677, + "step": 1119 + }, + { + "epoch": 0.63, + "learning_rate": 5.225856697819315e-05, + "loss": 6.7035, + "step": 1120 + }, + { + "epoch": 0.63, + "learning_rate": 5.218068535825546e-05, + "loss": 6.8124, + "step": 1121 + }, + { + "epoch": 0.63, + "learning_rate": 5.210280373831776e-05, + "loss": 6.7539, + "step": 1122 + }, + { + "epoch": 0.63, + "learning_rate": 5.202492211838006e-05, + "loss": 6.6226, + "step": 1123 + }, + { + "epoch": 0.63, + "learning_rate": 5.194704049844237e-05, + "loss": 6.7325, + "step": 1124 + }, + { + "epoch": 0.63, + "learning_rate": 5.186915887850467e-05, + "loss": 6.7674, + "step": 1125 + }, + { + "epoch": 0.63, + "learning_rate": 5.179127725856698e-05, + "loss": 6.6449, + "step": 1126 + }, + { + "epoch": 0.63, + "learning_rate": 5.171339563862928e-05, + "loss": 6.7298, + "step": 1127 + }, + { + "epoch": 0.63, + "learning_rate": 5.163551401869159e-05, + "loss": 7.0989, + "step": 1128 + }, + { + "epoch": 0.63, + "learning_rate": 5.1557632398753896e-05, + "loss": 6.8435, + "step": 1129 + }, + { + "epoch": 0.63, + "learning_rate": 5.1479750778816205e-05, + "loss": 6.9057, + "step": 1130 + }, + { + "epoch": 0.63, + "learning_rate": 5.14018691588785e-05, + "loss": 6.9007, + "step": 1131 + }, + { + "epoch": 0.63, + "learning_rate": 5.132398753894081e-05, + "loss": 6.8917, + "step": 1132 + }, + { + "epoch": 0.64, + "learning_rate": 5.124610591900312e-05, + "loss": 6.7459, + "step": 1133 + }, + { + "epoch": 0.64, + "learning_rate": 5.116822429906543e-05, + "loss": 6.7366, + "step": 1134 + }, + { + "epoch": 0.64, + "learning_rate": 5.109034267912772e-05, + "loss": 6.8867, + "step": 1135 + }, + { + "epoch": 0.64, + "learning_rate": 5.101246105919003e-05, + "loss": 6.7771, + "step": 1136 + }, + { + "epoch": 0.64, + "learning_rate": 5.093457943925234e-05, + "loss": 6.7681, + "step": 1137 + }, + { + "epoch": 0.64, + "learning_rate": 5.085669781931465e-05, + "loss": 6.856, + "step": 1138 + }, + { + "epoch": 0.64, + "learning_rate": 5.0778816199376946e-05, + "loss": 6.5794, + "step": 1139 + }, + { + "epoch": 0.64, + "learning_rate": 5.0700934579439255e-05, + "loss": 6.8176, + "step": 1140 + }, + { + "epoch": 0.64, + "learning_rate": 5.062305295950156e-05, + "loss": 6.7364, + "step": 1141 + }, + { + "epoch": 0.64, + "learning_rate": 5.0545171339563866e-05, + "loss": 7.0007, + "step": 1142 + }, + { + "epoch": 0.64, + "learning_rate": 5.046728971962617e-05, + "loss": 6.8698, + "step": 1143 + }, + { + "epoch": 0.64, + "learning_rate": 5.038940809968847e-05, + "loss": 6.8229, + "step": 1144 + }, + { + "epoch": 0.64, + "learning_rate": 5.031152647975078e-05, + "loss": 6.6198, + "step": 1145 + }, + { + "epoch": 0.64, + "learning_rate": 5.023364485981309e-05, + "loss": 6.7486, + "step": 1146 + }, + { + "epoch": 0.64, + "learning_rate": 5.0155763239875384e-05, + "loss": 6.6884, + "step": 1147 + }, + { + "epoch": 0.64, + "learning_rate": 5.007788161993769e-05, + "loss": 6.5174, + "step": 1148 + }, + { + "epoch": 0.64, + "learning_rate": 5e-05, + "loss": 6.3846, + "step": 1149 + }, + { + "epoch": 0.64, + "learning_rate": 4.992211838006231e-05, + "loss": 6.2623, + "step": 1150 + }, + { + "epoch": 0.65, + "learning_rate": 4.9844236760124614e-05, + "loss": 6.8907, + "step": 1151 + }, + { + "epoch": 0.65, + "learning_rate": 4.976635514018692e-05, + "loss": 7.0237, + "step": 1152 + }, + { + "epoch": 0.65, + "learning_rate": 4.9688473520249225e-05, + "loss": 6.7694, + "step": 1153 + }, + { + "epoch": 0.65, + "learning_rate": 4.9610591900311534e-05, + "loss": 6.8883, + "step": 1154 + }, + { + "epoch": 0.65, + "learning_rate": 4.9532710280373836e-05, + "loss": 6.9646, + "step": 1155 + }, + { + "epoch": 0.65, + "learning_rate": 4.9454828660436145e-05, + "loss": 6.9124, + "step": 1156 + }, + { + "epoch": 0.65, + "learning_rate": 4.937694704049845e-05, + "loss": 6.7865, + "step": 1157 + }, + { + "epoch": 0.65, + "learning_rate": 4.929906542056075e-05, + "loss": 6.9762, + "step": 1158 + }, + { + "epoch": 0.65, + "learning_rate": 4.922118380062305e-05, + "loss": 6.6659, + "step": 1159 + }, + { + "epoch": 0.65, + "learning_rate": 4.914330218068536e-05, + "loss": 6.6963, + "step": 1160 + }, + { + "epoch": 0.65, + "learning_rate": 4.9065420560747664e-05, + "loss": 6.8647, + "step": 1161 + }, + { + "epoch": 0.65, + "learning_rate": 4.898753894080997e-05, + "loss": 6.6314, + "step": 1162 + }, + { + "epoch": 0.65, + "learning_rate": 4.8909657320872275e-05, + "loss": 6.7734, + "step": 1163 + }, + { + "epoch": 0.65, + "learning_rate": 4.8831775700934584e-05, + "loss": 6.6634, + "step": 1164 + }, + { + "epoch": 0.65, + "learning_rate": 4.8753894080996886e-05, + "loss": 6.8744, + "step": 1165 + }, + { + "epoch": 0.65, + "learning_rate": 4.8676012461059195e-05, + "loss": 6.7995, + "step": 1166 + }, + { + "epoch": 0.65, + "learning_rate": 4.85981308411215e-05, + "loss": 6.9712, + "step": 1167 + }, + { + "epoch": 0.65, + "learning_rate": 4.852024922118381e-05, + "loss": 6.4927, + "step": 1168 + }, + { + "epoch": 0.66, + "learning_rate": 4.844236760124611e-05, + "loss": 6.7727, + "step": 1169 + }, + { + "epoch": 0.66, + "learning_rate": 4.836448598130842e-05, + "loss": 6.8457, + "step": 1170 + }, + { + "epoch": 0.66, + "learning_rate": 4.828660436137072e-05, + "loss": 6.8111, + "step": 1171 + }, + { + "epoch": 0.66, + "learning_rate": 4.820872274143303e-05, + "loss": 6.7105, + "step": 1172 + }, + { + "epoch": 0.66, + "learning_rate": 4.813084112149533e-05, + "loss": 6.9385, + "step": 1173 + }, + { + "epoch": 0.66, + "learning_rate": 4.8052959501557634e-05, + "loss": 6.6836, + "step": 1174 + }, + { + "epoch": 0.66, + "learning_rate": 4.797507788161994e-05, + "loss": 6.6711, + "step": 1175 + }, + { + "epoch": 0.66, + "learning_rate": 4.7897196261682245e-05, + "loss": 6.7849, + "step": 1176 + }, + { + "epoch": 0.66, + "learning_rate": 4.781931464174455e-05, + "loss": 6.8233, + "step": 1177 + }, + { + "epoch": 0.66, + "learning_rate": 4.774143302180686e-05, + "loss": 6.6739, + "step": 1178 + }, + { + "epoch": 0.66, + "learning_rate": 4.766355140186916e-05, + "loss": 6.6495, + "step": 1179 + }, + { + "epoch": 0.66, + "learning_rate": 4.758566978193147e-05, + "loss": 7.0085, + "step": 1180 + }, + { + "epoch": 0.66, + "learning_rate": 4.750778816199377e-05, + "loss": 6.7702, + "step": 1181 + }, + { + "epoch": 0.66, + "learning_rate": 4.742990654205608e-05, + "loss": 6.6482, + "step": 1182 + }, + { + "epoch": 0.66, + "learning_rate": 4.735202492211838e-05, + "loss": 6.6838, + "step": 1183 + }, + { + "epoch": 0.66, + "learning_rate": 4.727414330218069e-05, + "loss": 6.7068, + "step": 1184 + }, + { + "epoch": 0.66, + "learning_rate": 4.719626168224299e-05, + "loss": 7.1207, + "step": 1185 + }, + { + "epoch": 0.66, + "learning_rate": 4.71183800623053e-05, + "loss": 6.7004, + "step": 1186 + }, + { + "epoch": 0.67, + "learning_rate": 4.7040498442367604e-05, + "loss": 6.8511, + "step": 1187 + }, + { + "epoch": 0.67, + "learning_rate": 4.6962616822429913e-05, + "loss": 6.8075, + "step": 1188 + }, + { + "epoch": 0.67, + "learning_rate": 4.6884735202492216e-05, + "loss": 6.7637, + "step": 1189 + }, + { + "epoch": 0.67, + "learning_rate": 4.6806853582554525e-05, + "loss": 6.7424, + "step": 1190 + }, + { + "epoch": 0.67, + "learning_rate": 4.672897196261683e-05, + "loss": 6.7626, + "step": 1191 + }, + { + "epoch": 0.67, + "learning_rate": 4.665109034267913e-05, + "loss": 6.5671, + "step": 1192 + }, + { + "epoch": 0.67, + "learning_rate": 4.657320872274143e-05, + "loss": 6.6137, + "step": 1193 + }, + { + "epoch": 0.67, + "learning_rate": 4.649532710280374e-05, + "loss": 6.6918, + "step": 1194 + }, + { + "epoch": 0.67, + "learning_rate": 4.641744548286604e-05, + "loss": 6.523, + "step": 1195 + }, + { + "epoch": 0.67, + "learning_rate": 4.633956386292835e-05, + "loss": 6.5162, + "step": 1196 + }, + { + "epoch": 0.67, + "learning_rate": 4.6261682242990654e-05, + "loss": 6.4098, + "step": 1197 + }, + { + "epoch": 0.67, + "learning_rate": 4.6183800623052963e-05, + "loss": 6.5577, + "step": 1198 + }, + { + "epoch": 0.67, + "learning_rate": 4.6105919003115266e-05, + "loss": 6.1522, + "step": 1199 + }, + { + "epoch": 0.67, + "learning_rate": 4.6028037383177575e-05, + "loss": 5.863, + "step": 1200 + }, + { + "epoch": 0.67, + "learning_rate": 4.595015576323988e-05, + "loss": 6.8155, + "step": 1201 + }, + { + "epoch": 0.67, + "learning_rate": 4.5872274143302186e-05, + "loss": 6.6422, + "step": 1202 + }, + { + "epoch": 0.67, + "learning_rate": 4.579439252336449e-05, + "loss": 6.8233, + "step": 1203 + }, + { + "epoch": 0.67, + "learning_rate": 4.57165109034268e-05, + "loss": 6.6712, + "step": 1204 + }, + { + "epoch": 0.68, + "learning_rate": 4.56386292834891e-05, + "loss": 6.754, + "step": 1205 + }, + { + "epoch": 0.68, + "learning_rate": 4.556074766355141e-05, + "loss": 6.735, + "step": 1206 + }, + { + "epoch": 0.68, + "learning_rate": 4.548286604361371e-05, + "loss": 6.8132, + "step": 1207 + }, + { + "epoch": 0.68, + "learning_rate": 4.540498442367602e-05, + "loss": 6.8136, + "step": 1208 + }, + { + "epoch": 0.68, + "learning_rate": 4.532710280373832e-05, + "loss": 6.7848, + "step": 1209 + }, + { + "epoch": 0.68, + "learning_rate": 4.5249221183800625e-05, + "loss": 6.6918, + "step": 1210 + }, + { + "epoch": 0.68, + "learning_rate": 4.517133956386293e-05, + "loss": 6.8579, + "step": 1211 + }, + { + "epoch": 0.68, + "learning_rate": 4.5093457943925236e-05, + "loss": 6.6428, + "step": 1212 + }, + { + "epoch": 0.68, + "learning_rate": 4.501557632398754e-05, + "loss": 6.7914, + "step": 1213 + }, + { + "epoch": 0.68, + "learning_rate": 4.493769470404985e-05, + "loss": 6.9995, + "step": 1214 + }, + { + "epoch": 0.68, + "learning_rate": 4.485981308411215e-05, + "loss": 6.7258, + "step": 1215 + }, + { + "epoch": 0.68, + "learning_rate": 4.478193146417446e-05, + "loss": 6.6824, + "step": 1216 + }, + { + "epoch": 0.68, + "learning_rate": 4.470404984423676e-05, + "loss": 6.7023, + "step": 1217 + }, + { + "epoch": 0.68, + "learning_rate": 4.462616822429907e-05, + "loss": 6.4243, + "step": 1218 + }, + { + "epoch": 0.68, + "learning_rate": 4.454828660436137e-05, + "loss": 6.6686, + "step": 1219 + }, + { + "epoch": 0.68, + "learning_rate": 4.447040498442368e-05, + "loss": 6.8926, + "step": 1220 + }, + { + "epoch": 0.68, + "learning_rate": 4.4392523364485984e-05, + "loss": 6.8184, + "step": 1221 + }, + { + "epoch": 0.68, + "learning_rate": 4.431464174454829e-05, + "loss": 6.8656, + "step": 1222 + }, + { + "epoch": 0.69, + "learning_rate": 4.4236760124610595e-05, + "loss": 6.9881, + "step": 1223 + }, + { + "epoch": 0.69, + "learning_rate": 4.4158878504672904e-05, + "loss": 6.7487, + "step": 1224 + }, + { + "epoch": 0.69, + "learning_rate": 4.4080996884735206e-05, + "loss": 6.7747, + "step": 1225 + }, + { + "epoch": 0.69, + "learning_rate": 4.400311526479751e-05, + "loss": 6.7369, + "step": 1226 + }, + { + "epoch": 0.69, + "learning_rate": 4.392523364485982e-05, + "loss": 6.7263, + "step": 1227 + }, + { + "epoch": 0.69, + "learning_rate": 4.384735202492212e-05, + "loss": 6.8761, + "step": 1228 + }, + { + "epoch": 0.69, + "learning_rate": 4.376947040498442e-05, + "loss": 6.818, + "step": 1229 + }, + { + "epoch": 0.69, + "learning_rate": 4.369158878504673e-05, + "loss": 7.106, + "step": 1230 + }, + { + "epoch": 0.69, + "learning_rate": 4.3613707165109034e-05, + "loss": 6.8751, + "step": 1231 + }, + { + "epoch": 0.69, + "learning_rate": 4.353582554517134e-05, + "loss": 6.5459, + "step": 1232 + }, + { + "epoch": 0.69, + "learning_rate": 4.3457943925233645e-05, + "loss": 6.8746, + "step": 1233 + }, + { + "epoch": 0.69, + "learning_rate": 4.3380062305295954e-05, + "loss": 6.7276, + "step": 1234 + }, + { + "epoch": 0.69, + "learning_rate": 4.3302180685358256e-05, + "loss": 7.0052, + "step": 1235 + }, + { + "epoch": 0.69, + "learning_rate": 4.3224299065420565e-05, + "loss": 6.77, + "step": 1236 + }, + { + "epoch": 0.69, + "learning_rate": 4.314641744548287e-05, + "loss": 6.8492, + "step": 1237 + }, + { + "epoch": 0.69, + "learning_rate": 4.306853582554518e-05, + "loss": 6.5679, + "step": 1238 + }, + { + "epoch": 0.69, + "learning_rate": 4.299065420560748e-05, + "loss": 6.9408, + "step": 1239 + }, + { + "epoch": 0.7, + "learning_rate": 4.291277258566979e-05, + "loss": 6.8556, + "step": 1240 + }, + { + "epoch": 0.7, + "learning_rate": 4.283489096573209e-05, + "loss": 6.7181, + "step": 1241 + }, + { + "epoch": 0.7, + "learning_rate": 4.27570093457944e-05, + "loss": 6.9359, + "step": 1242 + }, + { + "epoch": 0.7, + "learning_rate": 4.26791277258567e-05, + "loss": 6.7889, + "step": 1243 + }, + { + "epoch": 0.7, + "learning_rate": 4.2601246105919004e-05, + "loss": 6.5935, + "step": 1244 + }, + { + "epoch": 0.7, + "learning_rate": 4.2523364485981306e-05, + "loss": 6.586, + "step": 1245 + }, + { + "epoch": 0.7, + "learning_rate": 4.2445482866043615e-05, + "loss": 6.8654, + "step": 1246 + }, + { + "epoch": 0.7, + "learning_rate": 4.236760124610592e-05, + "loss": 6.7072, + "step": 1247 + }, + { + "epoch": 0.7, + "learning_rate": 4.228971962616823e-05, + "loss": 6.672, + "step": 1248 + }, + { + "epoch": 0.7, + "learning_rate": 4.221183800623053e-05, + "loss": 6.3994, + "step": 1249 + }, + { + "epoch": 0.7, + "learning_rate": 4.213395638629284e-05, + "loss": 6.6606, + "step": 1250 + }, + { + "epoch": 0.7, + "learning_rate": 4.205607476635514e-05, + "loss": 6.9111, + "step": 1251 + }, + { + "epoch": 0.7, + "learning_rate": 4.197819314641745e-05, + "loss": 6.7398, + "step": 1252 + }, + { + "epoch": 0.7, + "learning_rate": 4.190031152647975e-05, + "loss": 6.8289, + "step": 1253 + }, + { + "epoch": 0.7, + "learning_rate": 4.182242990654206e-05, + "loss": 6.8522, + "step": 1254 + }, + { + "epoch": 0.7, + "learning_rate": 4.174454828660436e-05, + "loss": 7.0657, + "step": 1255 + }, + { + "epoch": 0.7, + "learning_rate": 4.166666666666667e-05, + "loss": 6.7021, + "step": 1256 + }, + { + "epoch": 0.7, + "learning_rate": 4.1588785046728974e-05, + "loss": 6.7255, + "step": 1257 + }, + { + "epoch": 0.71, + "learning_rate": 4.1510903426791283e-05, + "loss": 6.8391, + "step": 1258 + }, + { + "epoch": 0.71, + "learning_rate": 4.1433021806853586e-05, + "loss": 6.786, + "step": 1259 + }, + { + "epoch": 0.71, + "learning_rate": 4.1355140186915895e-05, + "loss": 6.902, + "step": 1260 + }, + { + "epoch": 0.71, + "learning_rate": 4.12772585669782e-05, + "loss": 6.833, + "step": 1261 + }, + { + "epoch": 0.71, + "learning_rate": 4.11993769470405e-05, + "loss": 6.8349, + "step": 1262 + }, + { + "epoch": 0.71, + "learning_rate": 4.11214953271028e-05, + "loss": 6.7596, + "step": 1263 + }, + { + "epoch": 0.71, + "learning_rate": 4.104361370716511e-05, + "loss": 6.687, + "step": 1264 + }, + { + "epoch": 0.71, + "learning_rate": 4.096573208722741e-05, + "loss": 6.8897, + "step": 1265 + }, + { + "epoch": 0.71, + "learning_rate": 4.088785046728972e-05, + "loss": 6.9136, + "step": 1266 + }, + { + "epoch": 0.71, + "learning_rate": 4.0809968847352024e-05, + "loss": 6.7326, + "step": 1267 + }, + { + "epoch": 0.71, + "learning_rate": 4.073208722741433e-05, + "loss": 6.8314, + "step": 1268 + }, + { + "epoch": 0.71, + "learning_rate": 4.0654205607476636e-05, + "loss": 6.6352, + "step": 1269 + }, + { + "epoch": 0.71, + "learning_rate": 4.0576323987538945e-05, + "loss": 6.7198, + "step": 1270 + }, + { + "epoch": 0.71, + "learning_rate": 4.049844236760125e-05, + "loss": 6.6141, + "step": 1271 + }, + { + "epoch": 0.71, + "learning_rate": 4.0420560747663556e-05, + "loss": 6.5693, + "step": 1272 + }, + { + "epoch": 0.71, + "learning_rate": 4.034267912772586e-05, + "loss": 6.892, + "step": 1273 + }, + { + "epoch": 0.71, + "learning_rate": 4.026479750778817e-05, + "loss": 6.6293, + "step": 1274 + }, + { + "epoch": 0.71, + "learning_rate": 4.018691588785047e-05, + "loss": 6.772, + "step": 1275 + }, + { + "epoch": 0.72, + "learning_rate": 4.010903426791278e-05, + "loss": 6.9198, + "step": 1276 + }, + { + "epoch": 0.72, + "learning_rate": 4.003115264797508e-05, + "loss": 6.9733, + "step": 1277 + }, + { + "epoch": 0.72, + "learning_rate": 3.995327102803739e-05, + "loss": 6.8218, + "step": 1278 + }, + { + "epoch": 0.72, + "learning_rate": 3.987538940809969e-05, + "loss": 6.8903, + "step": 1279 + }, + { + "epoch": 0.72, + "learning_rate": 3.9797507788161995e-05, + "loss": 6.6247, + "step": 1280 + }, + { + "epoch": 0.72, + "learning_rate": 3.97196261682243e-05, + "loss": 6.6749, + "step": 1281 + }, + { + "epoch": 0.72, + "learning_rate": 3.9641744548286606e-05, + "loss": 6.7072, + "step": 1282 + }, + { + "epoch": 0.72, + "learning_rate": 3.956386292834891e-05, + "loss": 6.9025, + "step": 1283 + }, + { + "epoch": 0.72, + "learning_rate": 3.948598130841122e-05, + "loss": 6.6806, + "step": 1284 + }, + { + "epoch": 0.72, + "learning_rate": 3.940809968847352e-05, + "loss": 6.7537, + "step": 1285 + }, + { + "epoch": 0.72, + "learning_rate": 3.933021806853583e-05, + "loss": 6.8352, + "step": 1286 + }, + { + "epoch": 0.72, + "learning_rate": 3.925233644859813e-05, + "loss": 6.807, + "step": 1287 + }, + { + "epoch": 0.72, + "learning_rate": 3.917445482866044e-05, + "loss": 6.6456, + "step": 1288 + }, + { + "epoch": 0.72, + "learning_rate": 3.909657320872274e-05, + "loss": 6.7944, + "step": 1289 + }, + { + "epoch": 0.72, + "learning_rate": 3.901869158878505e-05, + "loss": 6.6344, + "step": 1290 + }, + { + "epoch": 0.72, + "learning_rate": 3.8940809968847354e-05, + "loss": 6.7112, + "step": 1291 + }, + { + "epoch": 0.72, + "learning_rate": 3.886292834890966e-05, + "loss": 6.7961, + "step": 1292 + }, + { + "epoch": 0.72, + "learning_rate": 3.8785046728971965e-05, + "loss": 6.8133, + "step": 1293 + }, + { + "epoch": 0.73, + "learning_rate": 3.8707165109034274e-05, + "loss": 6.5159, + "step": 1294 + }, + { + "epoch": 0.73, + "learning_rate": 3.8629283489096576e-05, + "loss": 6.6351, + "step": 1295 + }, + { + "epoch": 0.73, + "learning_rate": 3.855140186915888e-05, + "loss": 6.5139, + "step": 1296 + }, + { + "epoch": 0.73, + "learning_rate": 3.847352024922119e-05, + "loss": 6.3613, + "step": 1297 + }, + { + "epoch": 0.73, + "learning_rate": 3.839563862928349e-05, + "loss": 6.2431, + "step": 1298 + }, + { + "epoch": 0.73, + "learning_rate": 3.831775700934579e-05, + "loss": 6.6968, + "step": 1299 + }, + { + "epoch": 0.73, + "learning_rate": 3.82398753894081e-05, + "loss": 6.1385, + "step": 1300 + }, + { + "epoch": 0.73, + "learning_rate": 3.8161993769470404e-05, + "loss": 6.8475, + "step": 1301 + }, + { + "epoch": 0.73, + "learning_rate": 3.808411214953271e-05, + "loss": 6.8944, + "step": 1302 + }, + { + "epoch": 0.73, + "learning_rate": 3.8006230529595015e-05, + "loss": 6.8663, + "step": 1303 + }, + { + "epoch": 0.73, + "learning_rate": 3.7928348909657324e-05, + "loss": 6.8245, + "step": 1304 + }, + { + "epoch": 0.73, + "learning_rate": 3.7850467289719626e-05, + "loss": 6.7407, + "step": 1305 + }, + { + "epoch": 0.73, + "learning_rate": 3.7772585669781935e-05, + "loss": 6.8813, + "step": 1306 + }, + { + "epoch": 0.73, + "learning_rate": 3.769470404984424e-05, + "loss": 6.6473, + "step": 1307 + }, + { + "epoch": 0.73, + "learning_rate": 3.761682242990655e-05, + "loss": 6.8038, + "step": 1308 + }, + { + "epoch": 0.73, + "learning_rate": 3.753894080996885e-05, + "loss": 6.5804, + "step": 1309 + }, + { + "epoch": 0.73, + "learning_rate": 3.746105919003116e-05, + "loss": 6.6848, + "step": 1310 + }, + { + "epoch": 0.73, + "learning_rate": 3.738317757009346e-05, + "loss": 6.8537, + "step": 1311 + }, + { + "epoch": 0.74, + "learning_rate": 3.730529595015577e-05, + "loss": 6.7886, + "step": 1312 + }, + { + "epoch": 0.74, + "learning_rate": 3.722741433021807e-05, + "loss": 6.7024, + "step": 1313 + }, + { + "epoch": 0.74, + "learning_rate": 3.7149532710280374e-05, + "loss": 6.6253, + "step": 1314 + }, + { + "epoch": 0.74, + "learning_rate": 3.7071651090342676e-05, + "loss": 7.0516, + "step": 1315 + }, + { + "epoch": 0.74, + "learning_rate": 3.6993769470404985e-05, + "loss": 6.6521, + "step": 1316 + }, + { + "epoch": 0.74, + "learning_rate": 3.691588785046729e-05, + "loss": 6.5897, + "step": 1317 + }, + { + "epoch": 0.74, + "learning_rate": 3.68380062305296e-05, + "loss": 6.8331, + "step": 1318 + }, + { + "epoch": 0.74, + "learning_rate": 3.67601246105919e-05, + "loss": 6.6247, + "step": 1319 + }, + { + "epoch": 0.74, + "learning_rate": 3.668224299065421e-05, + "loss": 6.7378, + "step": 1320 + }, + { + "epoch": 0.74, + "learning_rate": 3.660436137071651e-05, + "loss": 6.5653, + "step": 1321 + }, + { + "epoch": 0.74, + "learning_rate": 3.652647975077882e-05, + "loss": 6.6614, + "step": 1322 + }, + { + "epoch": 0.74, + "learning_rate": 3.644859813084112e-05, + "loss": 6.827, + "step": 1323 + }, + { + "epoch": 0.74, + "learning_rate": 3.637071651090343e-05, + "loss": 6.9346, + "step": 1324 + }, + { + "epoch": 0.74, + "learning_rate": 3.629283489096573e-05, + "loss": 6.8677, + "step": 1325 + }, + { + "epoch": 0.74, + "learning_rate": 3.621495327102804e-05, + "loss": 6.6434, + "step": 1326 + }, + { + "epoch": 0.74, + "learning_rate": 3.6137071651090344e-05, + "loss": 6.5439, + "step": 1327 + }, + { + "epoch": 0.74, + "learning_rate": 3.605919003115265e-05, + "loss": 6.7886, + "step": 1328 + }, + { + "epoch": 0.74, + "learning_rate": 3.5981308411214956e-05, + "loss": 6.873, + "step": 1329 + }, + { + "epoch": 0.75, + "learning_rate": 3.5903426791277265e-05, + "loss": 6.7449, + "step": 1330 + }, + { + "epoch": 0.75, + "learning_rate": 3.582554517133957e-05, + "loss": 6.6457, + "step": 1331 + }, + { + "epoch": 0.75, + "learning_rate": 3.574766355140187e-05, + "loss": 6.6758, + "step": 1332 + }, + { + "epoch": 0.75, + "learning_rate": 3.566978193146417e-05, + "loss": 6.8939, + "step": 1333 + }, + { + "epoch": 0.75, + "learning_rate": 3.559190031152648e-05, + "loss": 6.9075, + "step": 1334 + }, + { + "epoch": 0.75, + "learning_rate": 3.551401869158878e-05, + "loss": 6.5217, + "step": 1335 + }, + { + "epoch": 0.75, + "learning_rate": 3.543613707165109e-05, + "loss": 6.7286, + "step": 1336 + }, + { + "epoch": 0.75, + "learning_rate": 3.5358255451713394e-05, + "loss": 6.8534, + "step": 1337 + }, + { + "epoch": 0.75, + "learning_rate": 3.52803738317757e-05, + "loss": 6.7695, + "step": 1338 + }, + { + "epoch": 0.75, + "learning_rate": 3.5202492211838006e-05, + "loss": 6.8532, + "step": 1339 + }, + { + "epoch": 0.75, + "learning_rate": 3.5124610591900315e-05, + "loss": 6.7991, + "step": 1340 + }, + { + "epoch": 0.75, + "learning_rate": 3.504672897196262e-05, + "loss": 6.858, + "step": 1341 + }, + { + "epoch": 0.75, + "learning_rate": 3.4968847352024926e-05, + "loss": 6.7159, + "step": 1342 + }, + { + "epoch": 0.75, + "learning_rate": 3.489096573208723e-05, + "loss": 6.7994, + "step": 1343 + }, + { + "epoch": 0.75, + "learning_rate": 3.481308411214954e-05, + "loss": 6.6377, + "step": 1344 + }, + { + "epoch": 0.75, + "learning_rate": 3.473520249221184e-05, + "loss": 6.6774, + "step": 1345 + }, + { + "epoch": 0.75, + "learning_rate": 3.465732087227415e-05, + "loss": 6.7002, + "step": 1346 + }, + { + "epoch": 0.76, + "learning_rate": 3.457943925233645e-05, + "loss": 6.6682, + "step": 1347 + }, + { + "epoch": 0.76, + "learning_rate": 3.450155763239875e-05, + "loss": 6.2381, + "step": 1348 + }, + { + "epoch": 0.76, + "learning_rate": 3.442367601246106e-05, + "loss": 6.4779, + "step": 1349 + }, + { + "epoch": 0.76, + "learning_rate": 3.4345794392523365e-05, + "loss": 5.8608, + "step": 1350 + }, + { + "epoch": 0.76, + "learning_rate": 3.426791277258567e-05, + "loss": 6.9529, + "step": 1351 + }, + { + "epoch": 0.76, + "learning_rate": 3.4190031152647976e-05, + "loss": 6.9269, + "step": 1352 + }, + { + "epoch": 0.76, + "learning_rate": 3.411214953271028e-05, + "loss": 6.813, + "step": 1353 + }, + { + "epoch": 0.76, + "learning_rate": 3.403426791277259e-05, + "loss": 6.6787, + "step": 1354 + }, + { + "epoch": 0.76, + "learning_rate": 3.395638629283489e-05, + "loss": 6.6707, + "step": 1355 + }, + { + "epoch": 0.76, + "learning_rate": 3.38785046728972e-05, + "loss": 6.9152, + "step": 1356 + }, + { + "epoch": 0.76, + "learning_rate": 3.38006230529595e-05, + "loss": 6.6825, + "step": 1357 + }, + { + "epoch": 0.76, + "learning_rate": 3.372274143302181e-05, + "loss": 6.9089, + "step": 1358 + }, + { + "epoch": 0.76, + "learning_rate": 3.364485981308411e-05, + "loss": 6.8308, + "step": 1359 + }, + { + "epoch": 0.76, + "learning_rate": 3.356697819314642e-05, + "loss": 6.8593, + "step": 1360 + }, + { + "epoch": 0.76, + "learning_rate": 3.3489096573208724e-05, + "loss": 6.8252, + "step": 1361 + }, + { + "epoch": 0.76, + "learning_rate": 3.341121495327103e-05, + "loss": 6.7709, + "step": 1362 + }, + { + "epoch": 0.76, + "learning_rate": 3.3333333333333335e-05, + "loss": 6.7125, + "step": 1363 + }, + { + "epoch": 0.76, + "learning_rate": 3.3255451713395644e-05, + "loss": 6.9884, + "step": 1364 + }, + { + "epoch": 0.77, + "learning_rate": 3.3177570093457946e-05, + "loss": 6.6132, + "step": 1365 + }, + { + "epoch": 0.77, + "learning_rate": 3.309968847352025e-05, + "loss": 6.771, + "step": 1366 + }, + { + "epoch": 0.77, + "learning_rate": 3.302180685358255e-05, + "loss": 6.7291, + "step": 1367 + }, + { + "epoch": 0.77, + "learning_rate": 3.294392523364486e-05, + "loss": 6.7077, + "step": 1368 + }, + { + "epoch": 0.77, + "learning_rate": 3.286604361370716e-05, + "loss": 6.8, + "step": 1369 + }, + { + "epoch": 0.77, + "learning_rate": 3.278816199376947e-05, + "loss": 6.8161, + "step": 1370 + }, + { + "epoch": 0.77, + "learning_rate": 3.2710280373831774e-05, + "loss": 6.9352, + "step": 1371 + }, + { + "epoch": 0.77, + "learning_rate": 3.263239875389408e-05, + "loss": 6.5222, + "step": 1372 + }, + { + "epoch": 0.77, + "learning_rate": 3.2554517133956385e-05, + "loss": 6.8283, + "step": 1373 + }, + { + "epoch": 0.77, + "learning_rate": 3.2476635514018694e-05, + "loss": 6.9066, + "step": 1374 + }, + { + "epoch": 0.77, + "learning_rate": 3.2398753894080996e-05, + "loss": 6.7347, + "step": 1375 + }, + { + "epoch": 0.77, + "learning_rate": 3.2320872274143305e-05, + "loss": 6.5675, + "step": 1376 + }, + { + "epoch": 0.77, + "learning_rate": 3.224299065420561e-05, + "loss": 6.8066, + "step": 1377 + }, + { + "epoch": 0.77, + "learning_rate": 3.216510903426792e-05, + "loss": 6.7832, + "step": 1378 + }, + { + "epoch": 0.77, + "learning_rate": 3.208722741433022e-05, + "loss": 6.6992, + "step": 1379 + }, + { + "epoch": 0.77, + "learning_rate": 3.200934579439253e-05, + "loss": 6.8386, + "step": 1380 + }, + { + "epoch": 0.77, + "learning_rate": 3.193146417445483e-05, + "loss": 6.5827, + "step": 1381 + }, + { + "epoch": 0.77, + "learning_rate": 3.185358255451714e-05, + "loss": 6.7807, + "step": 1382 + }, + { + "epoch": 0.78, + "learning_rate": 3.177570093457944e-05, + "loss": 6.7364, + "step": 1383 + }, + { + "epoch": 0.78, + "learning_rate": 3.1697819314641744e-05, + "loss": 6.8698, + "step": 1384 + }, + { + "epoch": 0.78, + "learning_rate": 3.1619937694704046e-05, + "loss": 6.8047, + "step": 1385 + }, + { + "epoch": 0.78, + "learning_rate": 3.1542056074766355e-05, + "loss": 6.8506, + "step": 1386 + }, + { + "epoch": 0.78, + "learning_rate": 3.146417445482866e-05, + "loss": 6.7804, + "step": 1387 + }, + { + "epoch": 0.78, + "learning_rate": 3.1386292834890967e-05, + "loss": 6.6218, + "step": 1388 + }, + { + "epoch": 0.78, + "learning_rate": 3.130841121495327e-05, + "loss": 6.851, + "step": 1389 + }, + { + "epoch": 0.78, + "learning_rate": 3.123052959501558e-05, + "loss": 6.7131, + "step": 1390 + }, + { + "epoch": 0.78, + "learning_rate": 3.115264797507788e-05, + "loss": 6.4938, + "step": 1391 + }, + { + "epoch": 0.78, + "learning_rate": 3.107476635514019e-05, + "loss": 6.7699, + "step": 1392 + }, + { + "epoch": 0.78, + "learning_rate": 3.099688473520249e-05, + "loss": 6.555, + "step": 1393 + }, + { + "epoch": 0.78, + "learning_rate": 3.09190031152648e-05, + "loss": 6.5253, + "step": 1394 + }, + { + "epoch": 0.78, + "learning_rate": 3.08411214953271e-05, + "loss": 6.7741, + "step": 1395 + }, + { + "epoch": 0.78, + "learning_rate": 3.076323987538941e-05, + "loss": 6.7548, + "step": 1396 + }, + { + "epoch": 0.78, + "learning_rate": 3.0685358255451714e-05, + "loss": 6.4712, + "step": 1397 + }, + { + "epoch": 0.78, + "learning_rate": 3.060747663551402e-05, + "loss": 6.3719, + "step": 1398 + }, + { + "epoch": 0.78, + "learning_rate": 3.0529595015576326e-05, + "loss": 6.1981, + "step": 1399 + }, + { + "epoch": 0.78, + "learning_rate": 3.045171339563863e-05, + "loss": 6.3146, + "step": 1400 + }, + { + "epoch": 0.79, + "learning_rate": 3.0373831775700934e-05, + "loss": 6.8536, + "step": 1401 + }, + { + "epoch": 0.79, + "learning_rate": 3.0295950155763243e-05, + "loss": 6.7226, + "step": 1402 + }, + { + "epoch": 0.79, + "learning_rate": 3.0218068535825545e-05, + "loss": 6.6683, + "step": 1403 + }, + { + "epoch": 0.79, + "learning_rate": 3.0140186915887854e-05, + "loss": 6.6277, + "step": 1404 + }, + { + "epoch": 0.79, + "learning_rate": 3.0062305295950156e-05, + "loss": 6.7321, + "step": 1405 + }, + { + "epoch": 0.79, + "learning_rate": 2.9984423676012462e-05, + "loss": 7.0454, + "step": 1406 + }, + { + "epoch": 0.79, + "learning_rate": 2.9906542056074764e-05, + "loss": 6.9378, + "step": 1407 + }, + { + "epoch": 0.79, + "learning_rate": 2.9828660436137073e-05, + "loss": 6.7896, + "step": 1408 + }, + { + "epoch": 0.79, + "learning_rate": 2.9750778816199376e-05, + "loss": 6.6875, + "step": 1409 + }, + { + "epoch": 0.79, + "learning_rate": 2.9672897196261685e-05, + "loss": 6.631, + "step": 1410 + }, + { + "epoch": 0.79, + "learning_rate": 2.9595015576323987e-05, + "loss": 6.6161, + "step": 1411 + }, + { + "epoch": 0.79, + "learning_rate": 2.9517133956386296e-05, + "loss": 6.628, + "step": 1412 + }, + { + "epoch": 0.79, + "learning_rate": 2.9439252336448598e-05, + "loss": 6.8107, + "step": 1413 + }, + { + "epoch": 0.79, + "learning_rate": 2.9361370716510904e-05, + "loss": 6.6673, + "step": 1414 + }, + { + "epoch": 0.79, + "learning_rate": 2.9283489096573206e-05, + "loss": 6.8186, + "step": 1415 + }, + { + "epoch": 0.79, + "learning_rate": 2.9205607476635515e-05, + "loss": 6.9819, + "step": 1416 + }, + { + "epoch": 0.79, + "learning_rate": 2.9127725856697818e-05, + "loss": 6.9247, + "step": 1417 + }, + { + "epoch": 0.79, + "learning_rate": 2.9049844236760127e-05, + "loss": 6.8138, + "step": 1418 + }, + { + "epoch": 0.8, + "learning_rate": 2.897196261682243e-05, + "loss": 6.718, + "step": 1419 + }, + { + "epoch": 0.8, + "learning_rate": 2.8894080996884738e-05, + "loss": 6.6729, + "step": 1420 + }, + { + "epoch": 0.8, + "learning_rate": 2.881619937694704e-05, + "loss": 6.9112, + "step": 1421 + }, + { + "epoch": 0.8, + "learning_rate": 2.873831775700935e-05, + "loss": 6.8493, + "step": 1422 + }, + { + "epoch": 0.8, + "learning_rate": 2.866043613707165e-05, + "loss": 6.6929, + "step": 1423 + }, + { + "epoch": 0.8, + "learning_rate": 2.8582554517133957e-05, + "loss": 6.7682, + "step": 1424 + }, + { + "epoch": 0.8, + "learning_rate": 2.850467289719626e-05, + "loss": 6.8625, + "step": 1425 + }, + { + "epoch": 0.8, + "learning_rate": 2.842679127725857e-05, + "loss": 6.8417, + "step": 1426 + }, + { + "epoch": 0.8, + "learning_rate": 2.834890965732087e-05, + "loss": 6.6807, + "step": 1427 + }, + { + "epoch": 0.8, + "learning_rate": 2.827102803738318e-05, + "loss": 6.7824, + "step": 1428 + }, + { + "epoch": 0.8, + "learning_rate": 2.8193146417445482e-05, + "loss": 6.8524, + "step": 1429 + }, + { + "epoch": 0.8, + "learning_rate": 2.811526479750779e-05, + "loss": 7.0212, + "step": 1430 + }, + { + "epoch": 0.8, + "learning_rate": 2.8037383177570094e-05, + "loss": 6.844, + "step": 1431 + }, + { + "epoch": 0.8, + "learning_rate": 2.79595015576324e-05, + "loss": 6.8664, + "step": 1432 + }, + { + "epoch": 0.8, + "learning_rate": 2.78816199376947e-05, + "loss": 6.9296, + "step": 1433 + }, + { + "epoch": 0.8, + "learning_rate": 2.780373831775701e-05, + "loss": 6.7549, + "step": 1434 + }, + { + "epoch": 0.8, + "learning_rate": 2.7725856697819313e-05, + "loss": 6.9731, + "step": 1435 + }, + { + "epoch": 0.8, + "learning_rate": 2.7647975077881622e-05, + "loss": 6.5857, + "step": 1436 + }, + { + "epoch": 0.81, + "learning_rate": 2.7570093457943924e-05, + "loss": 6.9184, + "step": 1437 + }, + { + "epoch": 0.81, + "learning_rate": 2.7492211838006233e-05, + "loss": 6.7826, + "step": 1438 + }, + { + "epoch": 0.81, + "learning_rate": 2.7414330218068536e-05, + "loss": 6.6698, + "step": 1439 + }, + { + "epoch": 0.81, + "learning_rate": 2.733644859813084e-05, + "loss": 6.703, + "step": 1440 + }, + { + "epoch": 0.81, + "learning_rate": 2.7258566978193147e-05, + "loss": 6.8524, + "step": 1441 + }, + { + "epoch": 0.81, + "learning_rate": 2.7180685358255453e-05, + "loss": 6.7013, + "step": 1442 + }, + { + "epoch": 0.81, + "learning_rate": 2.7102803738317755e-05, + "loss": 6.6943, + "step": 1443 + }, + { + "epoch": 0.81, + "learning_rate": 2.7024922118380064e-05, + "loss": 6.6667, + "step": 1444 + }, + { + "epoch": 0.81, + "learning_rate": 2.6947040498442366e-05, + "loss": 6.6399, + "step": 1445 + }, + { + "epoch": 0.81, + "learning_rate": 2.6869158878504675e-05, + "loss": 6.8378, + "step": 1446 + }, + { + "epoch": 0.81, + "learning_rate": 2.6791277258566978e-05, + "loss": 6.5056, + "step": 1447 + }, + { + "epoch": 0.81, + "learning_rate": 2.6713395638629287e-05, + "loss": 6.3927, + "step": 1448 + }, + { + "epoch": 0.81, + "learning_rate": 2.663551401869159e-05, + "loss": 6.5008, + "step": 1449 + }, + { + "epoch": 0.81, + "learning_rate": 2.6557632398753895e-05, + "loss": 6.3603, + "step": 1450 + }, + { + "epoch": 0.81, + "learning_rate": 2.6479750778816197e-05, + "loss": 6.9112, + "step": 1451 + }, + { + "epoch": 0.81, + "learning_rate": 2.6401869158878506e-05, + "loss": 6.8934, + "step": 1452 + }, + { + "epoch": 0.81, + "learning_rate": 2.6323987538940808e-05, + "loss": 6.6079, + "step": 1453 + }, + { + "epoch": 0.82, + "learning_rate": 2.6246105919003117e-05, + "loss": 6.6918, + "step": 1454 + }, + { + "epoch": 0.82, + "learning_rate": 2.616822429906542e-05, + "loss": 6.6928, + "step": 1455 + }, + { + "epoch": 0.82, + "learning_rate": 2.609034267912773e-05, + "loss": 6.7824, + "step": 1456 + }, + { + "epoch": 0.82, + "learning_rate": 2.601246105919003e-05, + "loss": 6.8694, + "step": 1457 + }, + { + "epoch": 0.82, + "learning_rate": 2.5934579439252337e-05, + "loss": 6.8532, + "step": 1458 + }, + { + "epoch": 0.82, + "learning_rate": 2.585669781931464e-05, + "loss": 6.6958, + "step": 1459 + }, + { + "epoch": 0.82, + "learning_rate": 2.5778816199376948e-05, + "loss": 6.7867, + "step": 1460 + }, + { + "epoch": 0.82, + "learning_rate": 2.570093457943925e-05, + "loss": 6.7821, + "step": 1461 + }, + { + "epoch": 0.82, + "learning_rate": 2.562305295950156e-05, + "loss": 6.8194, + "step": 1462 + }, + { + "epoch": 0.82, + "learning_rate": 2.554517133956386e-05, + "loss": 6.6558, + "step": 1463 + }, + { + "epoch": 0.82, + "learning_rate": 2.546728971962617e-05, + "loss": 6.6203, + "step": 1464 + }, + { + "epoch": 0.82, + "learning_rate": 2.5389408099688473e-05, + "loss": 6.8418, + "step": 1465 + }, + { + "epoch": 0.82, + "learning_rate": 2.531152647975078e-05, + "loss": 6.7297, + "step": 1466 + }, + { + "epoch": 0.82, + "learning_rate": 2.5233644859813084e-05, + "loss": 6.9122, + "step": 1467 + }, + { + "epoch": 0.82, + "learning_rate": 2.515576323987539e-05, + "loss": 6.736, + "step": 1468 + }, + { + "epoch": 0.82, + "learning_rate": 2.5077881619937692e-05, + "loss": 6.5482, + "step": 1469 + }, + { + "epoch": 0.82, + "learning_rate": 2.5e-05, + "loss": 6.6138, + "step": 1470 + }, + { + "epoch": 0.82, + "learning_rate": 2.4922118380062307e-05, + "loss": 6.7905, + "step": 1471 + }, + { + "epoch": 0.83, + "learning_rate": 2.4844236760124613e-05, + "loss": 6.6411, + "step": 1472 + }, + { + "epoch": 0.83, + "learning_rate": 2.4766355140186918e-05, + "loss": 6.6297, + "step": 1473 + }, + { + "epoch": 0.83, + "learning_rate": 2.4688473520249224e-05, + "loss": 6.5009, + "step": 1474 + }, + { + "epoch": 0.83, + "learning_rate": 2.4610591900311526e-05, + "loss": 6.8998, + "step": 1475 + }, + { + "epoch": 0.83, + "learning_rate": 2.4532710280373832e-05, + "loss": 6.8103, + "step": 1476 + }, + { + "epoch": 0.83, + "learning_rate": 2.4454828660436138e-05, + "loss": 7.0245, + "step": 1477 + }, + { + "epoch": 0.83, + "learning_rate": 2.4376947040498443e-05, + "loss": 6.588, + "step": 1478 + }, + { + "epoch": 0.83, + "learning_rate": 2.429906542056075e-05, + "loss": 6.6563, + "step": 1479 + }, + { + "epoch": 0.83, + "learning_rate": 2.4221183800623055e-05, + "loss": 6.6741, + "step": 1480 + }, + { + "epoch": 0.83, + "learning_rate": 2.414330218068536e-05, + "loss": 6.8938, + "step": 1481 + }, + { + "epoch": 0.83, + "learning_rate": 2.4065420560747666e-05, + "loss": 6.8526, + "step": 1482 + }, + { + "epoch": 0.83, + "learning_rate": 2.398753894080997e-05, + "loss": 6.7989, + "step": 1483 + }, + { + "epoch": 0.83, + "learning_rate": 2.3909657320872274e-05, + "loss": 6.5121, + "step": 1484 + }, + { + "epoch": 0.83, + "learning_rate": 2.383177570093458e-05, + "loss": 6.9102, + "step": 1485 + }, + { + "epoch": 0.83, + "learning_rate": 2.3753894080996885e-05, + "loss": 6.8429, + "step": 1486 + }, + { + "epoch": 0.83, + "learning_rate": 2.367601246105919e-05, + "loss": 6.7404, + "step": 1487 + }, + { + "epoch": 0.83, + "learning_rate": 2.3598130841121497e-05, + "loss": 6.7011, + "step": 1488 + }, + { + "epoch": 0.83, + "learning_rate": 2.3520249221183802e-05, + "loss": 6.9181, + "step": 1489 + }, + { + "epoch": 0.84, + "learning_rate": 2.3442367601246108e-05, + "loss": 6.5258, + "step": 1490 + }, + { + "epoch": 0.84, + "learning_rate": 2.3364485981308414e-05, + "loss": 6.8041, + "step": 1491 + }, + { + "epoch": 0.84, + "learning_rate": 2.3286604361370716e-05, + "loss": 6.861, + "step": 1492 + }, + { + "epoch": 0.84, + "learning_rate": 2.320872274143302e-05, + "loss": 6.5496, + "step": 1493 + }, + { + "epoch": 0.84, + "learning_rate": 2.3130841121495327e-05, + "loss": 6.8608, + "step": 1494 + }, + { + "epoch": 0.84, + "learning_rate": 2.3052959501557633e-05, + "loss": 6.6352, + "step": 1495 + }, + { + "epoch": 0.84, + "learning_rate": 2.297507788161994e-05, + "loss": 6.9325, + "step": 1496 + }, + { + "epoch": 0.84, + "learning_rate": 2.2897196261682244e-05, + "loss": 6.5802, + "step": 1497 + }, + { + "epoch": 0.84, + "learning_rate": 2.281931464174455e-05, + "loss": 6.591, + "step": 1498 + }, + { + "epoch": 0.84, + "learning_rate": 2.2741433021806856e-05, + "loss": 6.2565, + "step": 1499 + }, + { + "epoch": 0.84, + "learning_rate": 2.266355140186916e-05, + "loss": 6.2561, + "step": 1500 + }, + { + "epoch": 0.84, + "eval_loss": 6.6749796867370605, + "eval_runtime": 929.946, + "eval_samples_per_second": 2.841, + "eval_steps_per_second": 0.356, + "eval_wer": 1.905907097644701, + "step": 1500 + }, + { + "epoch": 0.84, + "learning_rate": 2.2585669781931463e-05, + "loss": 6.6845, + "step": 1501 + }, + { + "epoch": 0.84, + "learning_rate": 2.250778816199377e-05, + "loss": 6.9177, + "step": 1502 + }, + { + "epoch": 0.84, + "learning_rate": 2.2429906542056075e-05, + "loss": 6.7967, + "step": 1503 + }, + { + "epoch": 0.84, + "learning_rate": 2.235202492211838e-05, + "loss": 6.7575, + "step": 1504 + }, + { + "epoch": 0.84, + "learning_rate": 2.2274143302180686e-05, + "loss": 6.8156, + "step": 1505 + }, + { + "epoch": 0.84, + "learning_rate": 2.2196261682242992e-05, + "loss": 6.8512, + "step": 1506 + }, + { + "epoch": 0.84, + "learning_rate": 2.2118380062305298e-05, + "loss": 6.7721, + "step": 1507 + }, + { + "epoch": 0.85, + "learning_rate": 2.2040498442367603e-05, + "loss": 6.7047, + "step": 1508 + }, + { + "epoch": 0.85, + "learning_rate": 2.196261682242991e-05, + "loss": 6.8443, + "step": 1509 + }, + { + "epoch": 0.85, + "learning_rate": 2.188473520249221e-05, + "loss": 6.7234, + "step": 1510 + }, + { + "epoch": 0.85, + "learning_rate": 2.1806853582554517e-05, + "loss": 6.6721, + "step": 1511 + }, + { + "epoch": 0.85, + "learning_rate": 2.1728971962616822e-05, + "loss": 6.6627, + "step": 1512 + }, + { + "epoch": 0.85, + "learning_rate": 2.1651090342679128e-05, + "loss": 6.5215, + "step": 1513 + }, + { + "epoch": 0.85, + "learning_rate": 2.1573208722741434e-05, + "loss": 6.6463, + "step": 1514 + }, + { + "epoch": 0.85, + "learning_rate": 2.149532710280374e-05, + "loss": 6.5542, + "step": 1515 + }, + { + "epoch": 0.85, + "learning_rate": 2.1417445482866045e-05, + "loss": 6.8001, + "step": 1516 + }, + { + "epoch": 0.85, + "learning_rate": 2.133956386292835e-05, + "loss": 6.6748, + "step": 1517 + }, + { + "epoch": 0.85, + "learning_rate": 2.1261682242990653e-05, + "loss": 6.7196, + "step": 1518 + }, + { + "epoch": 0.85, + "learning_rate": 2.118380062305296e-05, + "loss": 6.7024, + "step": 1519 + }, + { + "epoch": 0.85, + "learning_rate": 2.1105919003115264e-05, + "loss": 6.7664, + "step": 1520 + }, + { + "epoch": 0.85, + "learning_rate": 2.102803738317757e-05, + "loss": 6.6765, + "step": 1521 + }, + { + "epoch": 0.85, + "learning_rate": 2.0950155763239876e-05, + "loss": 6.8165, + "step": 1522 + }, + { + "epoch": 0.85, + "learning_rate": 2.087227414330218e-05, + "loss": 6.808, + "step": 1523 + }, + { + "epoch": 0.85, + "learning_rate": 2.0794392523364487e-05, + "loss": 6.8013, + "step": 1524 + }, + { + "epoch": 0.85, + "learning_rate": 2.0716510903426793e-05, + "loss": 6.6336, + "step": 1525 + }, + { + "epoch": 0.86, + "learning_rate": 2.06386292834891e-05, + "loss": 6.5605, + "step": 1526 + }, + { + "epoch": 0.86, + "learning_rate": 2.05607476635514e-05, + "loss": 6.7468, + "step": 1527 + }, + { + "epoch": 0.86, + "learning_rate": 2.0482866043613706e-05, + "loss": 6.6191, + "step": 1528 + }, + { + "epoch": 0.86, + "learning_rate": 2.0404984423676012e-05, + "loss": 6.7029, + "step": 1529 + }, + { + "epoch": 0.86, + "learning_rate": 2.0327102803738318e-05, + "loss": 6.6654, + "step": 1530 + }, + { + "epoch": 0.86, + "learning_rate": 2.0249221183800623e-05, + "loss": 6.629, + "step": 1531 + }, + { + "epoch": 0.86, + "learning_rate": 2.017133956386293e-05, + "loss": 6.4578, + "step": 1532 + }, + { + "epoch": 0.86, + "learning_rate": 2.0093457943925235e-05, + "loss": 6.7215, + "step": 1533 + }, + { + "epoch": 0.86, + "learning_rate": 2.001557632398754e-05, + "loss": 6.6893, + "step": 1534 + }, + { + "epoch": 0.86, + "learning_rate": 1.9937694704049846e-05, + "loss": 6.8334, + "step": 1535 + }, + { + "epoch": 0.86, + "learning_rate": 1.985981308411215e-05, + "loss": 6.7196, + "step": 1536 + }, + { + "epoch": 0.86, + "learning_rate": 1.9781931464174454e-05, + "loss": 6.6935, + "step": 1537 + }, + { + "epoch": 0.86, + "learning_rate": 1.970404984423676e-05, + "loss": 6.8691, + "step": 1538 + }, + { + "epoch": 0.86, + "learning_rate": 1.9626168224299065e-05, + "loss": 6.7143, + "step": 1539 + }, + { + "epoch": 0.86, + "learning_rate": 1.954828660436137e-05, + "loss": 6.7124, + "step": 1540 + }, + { + "epoch": 0.86, + "learning_rate": 1.9470404984423677e-05, + "loss": 6.6045, + "step": 1541 + }, + { + "epoch": 0.86, + "learning_rate": 1.9392523364485982e-05, + "loss": 6.4852, + "step": 1542 + }, + { + "epoch": 0.86, + "learning_rate": 1.9314641744548288e-05, + "loss": 6.6976, + "step": 1543 + }, + { + "epoch": 0.87, + "learning_rate": 1.9236760124610594e-05, + "loss": 6.6177, + "step": 1544 + }, + { + "epoch": 0.87, + "learning_rate": 1.9158878504672896e-05, + "loss": 6.7437, + "step": 1545 + }, + { + "epoch": 0.87, + "learning_rate": 1.9080996884735202e-05, + "loss": 6.5888, + "step": 1546 + }, + { + "epoch": 0.87, + "learning_rate": 1.9003115264797507e-05, + "loss": 6.6297, + "step": 1547 + }, + { + "epoch": 0.87, + "learning_rate": 1.8925233644859813e-05, + "loss": 6.5084, + "step": 1548 + }, + { + "epoch": 0.87, + "learning_rate": 1.884735202492212e-05, + "loss": 6.6385, + "step": 1549 + }, + { + "epoch": 0.87, + "learning_rate": 1.8769470404984424e-05, + "loss": 6.1202, + "step": 1550 + }, + { + "epoch": 0.87, + "learning_rate": 1.869158878504673e-05, + "loss": 6.8576, + "step": 1551 + }, + { + "epoch": 0.87, + "learning_rate": 1.8613707165109036e-05, + "loss": 6.8767, + "step": 1552 + }, + { + "epoch": 0.87, + "learning_rate": 1.8535825545171338e-05, + "loss": 6.6811, + "step": 1553 + }, + { + "epoch": 0.87, + "learning_rate": 1.8457943925233644e-05, + "loss": 6.5413, + "step": 1554 + }, + { + "epoch": 0.87, + "learning_rate": 1.838006230529595e-05, + "loss": 6.829, + "step": 1555 + }, + { + "epoch": 0.87, + "learning_rate": 1.8302180685358255e-05, + "loss": 6.8513, + "step": 1556 + }, + { + "epoch": 0.87, + "learning_rate": 1.822429906542056e-05, + "loss": 6.6366, + "step": 1557 + }, + { + "epoch": 0.87, + "learning_rate": 1.8146417445482866e-05, + "loss": 6.7194, + "step": 1558 + }, + { + "epoch": 0.87, + "learning_rate": 1.8068535825545172e-05, + "loss": 6.6456, + "step": 1559 + }, + { + "epoch": 0.87, + "learning_rate": 1.7990654205607478e-05, + "loss": 6.7717, + "step": 1560 + }, + { + "epoch": 0.88, + "learning_rate": 1.7912772585669783e-05, + "loss": 6.7982, + "step": 1561 + }, + { + "epoch": 0.88, + "learning_rate": 1.7834890965732086e-05, + "loss": 6.7254, + "step": 1562 + }, + { + "epoch": 0.88, + "learning_rate": 1.775700934579439e-05, + "loss": 6.6927, + "step": 1563 + }, + { + "epoch": 0.88, + "learning_rate": 1.7679127725856697e-05, + "loss": 6.5793, + "step": 1564 + }, + { + "epoch": 0.88, + "learning_rate": 1.7601246105919003e-05, + "loss": 6.7343, + "step": 1565 + }, + { + "epoch": 0.88, + "learning_rate": 1.752336448598131e-05, + "loss": 6.6936, + "step": 1566 + }, + { + "epoch": 0.88, + "learning_rate": 1.7445482866043614e-05, + "loss": 6.6261, + "step": 1567 + }, + { + "epoch": 0.88, + "learning_rate": 1.736760124610592e-05, + "loss": 6.8176, + "step": 1568 + }, + { + "epoch": 0.88, + "learning_rate": 1.7289719626168225e-05, + "loss": 6.7827, + "step": 1569 + }, + { + "epoch": 0.88, + "learning_rate": 1.721183800623053e-05, + "loss": 6.7919, + "step": 1570 + }, + { + "epoch": 0.88, + "learning_rate": 1.7133956386292833e-05, + "loss": 6.7903, + "step": 1571 + }, + { + "epoch": 0.88, + "learning_rate": 1.705607476635514e-05, + "loss": 6.9781, + "step": 1572 + }, + { + "epoch": 0.88, + "learning_rate": 1.6978193146417445e-05, + "loss": 6.7162, + "step": 1573 + }, + { + "epoch": 0.88, + "learning_rate": 1.690031152647975e-05, + "loss": 6.5349, + "step": 1574 + }, + { + "epoch": 0.88, + "learning_rate": 1.6822429906542056e-05, + "loss": 6.4349, + "step": 1575 + }, + { + "epoch": 0.88, + "learning_rate": 1.6744548286604362e-05, + "loss": 6.6495, + "step": 1576 + }, + { + "epoch": 0.88, + "learning_rate": 1.6666666666666667e-05, + "loss": 6.5716, + "step": 1577 + }, + { + "epoch": 0.88, + "learning_rate": 1.6588785046728973e-05, + "loss": 6.7472, + "step": 1578 + }, + { + "epoch": 0.89, + "learning_rate": 1.6510903426791275e-05, + "loss": 6.7143, + "step": 1579 + }, + { + "epoch": 0.89, + "learning_rate": 1.643302180685358e-05, + "loss": 6.8029, + "step": 1580 + }, + { + "epoch": 0.89, + "learning_rate": 1.6355140186915887e-05, + "loss": 6.8607, + "step": 1581 + }, + { + "epoch": 0.89, + "learning_rate": 1.6277258566978192e-05, + "loss": 6.9013, + "step": 1582 + }, + { + "epoch": 0.89, + "learning_rate": 1.6199376947040498e-05, + "loss": 6.7816, + "step": 1583 + }, + { + "epoch": 0.89, + "learning_rate": 1.6121495327102804e-05, + "loss": 6.5974, + "step": 1584 + }, + { + "epoch": 0.89, + "learning_rate": 1.604361370716511e-05, + "loss": 6.6809, + "step": 1585 + }, + { + "epoch": 0.89, + "learning_rate": 1.5965732087227415e-05, + "loss": 6.7664, + "step": 1586 + }, + { + "epoch": 0.89, + "learning_rate": 1.588785046728972e-05, + "loss": 6.6815, + "step": 1587 + }, + { + "epoch": 0.89, + "learning_rate": 1.5809968847352023e-05, + "loss": 6.6994, + "step": 1588 + }, + { + "epoch": 0.89, + "learning_rate": 1.573208722741433e-05, + "loss": 6.7056, + "step": 1589 + }, + { + "epoch": 0.89, + "learning_rate": 1.5654205607476634e-05, + "loss": 6.7295, + "step": 1590 + }, + { + "epoch": 0.89, + "learning_rate": 1.557632398753894e-05, + "loss": 6.6198, + "step": 1591 + }, + { + "epoch": 0.89, + "learning_rate": 1.5498442367601246e-05, + "loss": 6.6817, + "step": 1592 + }, + { + "epoch": 0.89, + "learning_rate": 1.542056074766355e-05, + "loss": 6.4976, + "step": 1593 + }, + { + "epoch": 0.89, + "learning_rate": 1.5342679127725857e-05, + "loss": 6.4652, + "step": 1594 + }, + { + "epoch": 0.89, + "learning_rate": 1.5264797507788163e-05, + "loss": 6.735, + "step": 1595 + }, + { + "epoch": 0.89, + "learning_rate": 1.5186915887850467e-05, + "loss": 6.6047, + "step": 1596 + }, + { + "epoch": 0.9, + "learning_rate": 1.5109034267912772e-05, + "loss": 6.5484, + "step": 1597 + }, + { + "epoch": 0.9, + "learning_rate": 1.5031152647975078e-05, + "loss": 6.6567, + "step": 1598 + }, + { + "epoch": 0.9, + "learning_rate": 1.4953271028037382e-05, + "loss": 6.872, + "step": 1599 + }, + { + "epoch": 0.9, + "learning_rate": 1.4875389408099688e-05, + "loss": 6.3103, + "step": 1600 + }, + { + "epoch": 0.9, + "learning_rate": 1.4797507788161993e-05, + "loss": 6.9031, + "step": 1601 + }, + { + "epoch": 0.9, + "learning_rate": 1.4719626168224299e-05, + "loss": 6.5827, + "step": 1602 + }, + { + "epoch": 0.9, + "learning_rate": 1.4641744548286603e-05, + "loss": 6.9098, + "step": 1603 + }, + { + "epoch": 0.9, + "learning_rate": 1.4563862928348909e-05, + "loss": 6.9134, + "step": 1604 + }, + { + "epoch": 0.9, + "learning_rate": 1.4485981308411214e-05, + "loss": 6.6141, + "step": 1605 + }, + { + "epoch": 0.9, + "learning_rate": 1.440809968847352e-05, + "loss": 6.7544, + "step": 1606 + }, + { + "epoch": 0.9, + "learning_rate": 1.4330218068535826e-05, + "loss": 6.8258, + "step": 1607 + }, + { + "epoch": 0.9, + "learning_rate": 1.425233644859813e-05, + "loss": 6.6041, + "step": 1608 + }, + { + "epoch": 0.9, + "learning_rate": 1.4174454828660435e-05, + "loss": 6.8996, + "step": 1609 + }, + { + "epoch": 0.9, + "learning_rate": 1.4096573208722741e-05, + "loss": 6.752, + "step": 1610 + }, + { + "epoch": 0.9, + "learning_rate": 1.4018691588785047e-05, + "loss": 6.8366, + "step": 1611 + }, + { + "epoch": 0.9, + "learning_rate": 1.394080996884735e-05, + "loss": 6.8569, + "step": 1612 + }, + { + "epoch": 0.9, + "learning_rate": 1.3862928348909656e-05, + "loss": 6.895, + "step": 1613 + }, + { + "epoch": 0.9, + "learning_rate": 1.3785046728971962e-05, + "loss": 6.703, + "step": 1614 + }, + { + "epoch": 0.91, + "learning_rate": 1.3707165109034268e-05, + "loss": 6.7691, + "step": 1615 + }, + { + "epoch": 0.91, + "learning_rate": 1.3629283489096573e-05, + "loss": 6.6747, + "step": 1616 + }, + { + "epoch": 0.91, + "learning_rate": 1.3551401869158877e-05, + "loss": 6.765, + "step": 1617 + }, + { + "epoch": 0.91, + "learning_rate": 1.3473520249221183e-05, + "loss": 6.7562, + "step": 1618 + }, + { + "epoch": 0.91, + "learning_rate": 1.3395638629283489e-05, + "loss": 6.7024, + "step": 1619 + }, + { + "epoch": 0.91, + "learning_rate": 1.3317757009345794e-05, + "loss": 6.7755, + "step": 1620 + }, + { + "epoch": 0.91, + "learning_rate": 1.3239875389408098e-05, + "loss": 6.9006, + "step": 1621 + }, + { + "epoch": 0.91, + "learning_rate": 1.3161993769470404e-05, + "loss": 6.6809, + "step": 1622 + }, + { + "epoch": 0.91, + "learning_rate": 1.308411214953271e-05, + "loss": 6.7764, + "step": 1623 + }, + { + "epoch": 0.91, + "learning_rate": 1.3006230529595015e-05, + "loss": 6.4869, + "step": 1624 + }, + { + "epoch": 0.91, + "learning_rate": 1.292834890965732e-05, + "loss": 6.8597, + "step": 1625 + }, + { + "epoch": 0.91, + "learning_rate": 1.2850467289719625e-05, + "loss": 6.9527, + "step": 1626 + }, + { + "epoch": 0.91, + "learning_rate": 1.277258566978193e-05, + "loss": 6.8702, + "step": 1627 + }, + { + "epoch": 0.91, + "learning_rate": 1.2694704049844236e-05, + "loss": 6.6271, + "step": 1628 + }, + { + "epoch": 0.91, + "learning_rate": 1.2616822429906542e-05, + "loss": 6.7808, + "step": 1629 + }, + { + "epoch": 0.91, + "learning_rate": 1.2538940809968846e-05, + "loss": 6.661, + "step": 1630 + }, + { + "epoch": 0.91, + "learning_rate": 1.2461059190031153e-05, + "loss": 6.721, + "step": 1631 + }, + { + "epoch": 0.91, + "learning_rate": 1.2383177570093459e-05, + "loss": 7.0044, + "step": 1632 + }, + { + "epoch": 0.92, + "learning_rate": 1.2305295950155763e-05, + "loss": 6.5281, + "step": 1633 + }, + { + "epoch": 0.92, + "learning_rate": 1.2227414330218069e-05, + "loss": 6.7983, + "step": 1634 + }, + { + "epoch": 0.92, + "learning_rate": 1.2149532710280374e-05, + "loss": 6.7392, + "step": 1635 + }, + { + "epoch": 0.92, + "learning_rate": 1.207165109034268e-05, + "loss": 6.6986, + "step": 1636 + }, + { + "epoch": 0.92, + "learning_rate": 1.1993769470404986e-05, + "loss": 6.5987, + "step": 1637 + }, + { + "epoch": 0.92, + "learning_rate": 1.191588785046729e-05, + "loss": 6.8677, + "step": 1638 + }, + { + "epoch": 0.92, + "learning_rate": 1.1838006230529595e-05, + "loss": 6.5819, + "step": 1639 + }, + { + "epoch": 0.92, + "learning_rate": 1.1760124610591901e-05, + "loss": 6.6685, + "step": 1640 + }, + { + "epoch": 0.92, + "learning_rate": 1.1682242990654207e-05, + "loss": 6.7633, + "step": 1641 + }, + { + "epoch": 0.92, + "learning_rate": 1.160436137071651e-05, + "loss": 6.5929, + "step": 1642 + }, + { + "epoch": 0.92, + "learning_rate": 1.1526479750778816e-05, + "loss": 6.6485, + "step": 1643 + }, + { + "epoch": 0.92, + "learning_rate": 1.1448598130841122e-05, + "loss": 6.5444, + "step": 1644 + }, + { + "epoch": 0.92, + "learning_rate": 1.1370716510903428e-05, + "loss": 6.7383, + "step": 1645 + }, + { + "epoch": 0.92, + "learning_rate": 1.1292834890965732e-05, + "loss": 6.6292, + "step": 1646 + }, + { + "epoch": 0.92, + "learning_rate": 1.1214953271028037e-05, + "loss": 6.437, + "step": 1647 + }, + { + "epoch": 0.92, + "learning_rate": 1.1137071651090343e-05, + "loss": 6.7836, + "step": 1648 + }, + { + "epoch": 0.92, + "learning_rate": 1.1059190031152649e-05, + "loss": 6.6059, + "step": 1649 + }, + { + "epoch": 0.92, + "learning_rate": 1.0981308411214954e-05, + "loss": 6.0364, + "step": 1650 + }, + { + "epoch": 0.93, + "learning_rate": 1.0903426791277258e-05, + "loss": 6.7167, + "step": 1651 + }, + { + "epoch": 0.93, + "learning_rate": 1.0825545171339564e-05, + "loss": 6.757, + "step": 1652 + }, + { + "epoch": 0.93, + "learning_rate": 1.074766355140187e-05, + "loss": 6.7986, + "step": 1653 + }, + { + "epoch": 0.93, + "learning_rate": 1.0669781931464175e-05, + "loss": 6.657, + "step": 1654 + }, + { + "epoch": 0.93, + "learning_rate": 1.059190031152648e-05, + "loss": 6.5522, + "step": 1655 + }, + { + "epoch": 0.93, + "learning_rate": 1.0514018691588785e-05, + "loss": 6.7417, + "step": 1656 + }, + { + "epoch": 0.93, + "learning_rate": 1.043613707165109e-05, + "loss": 6.8712, + "step": 1657 + }, + { + "epoch": 0.93, + "learning_rate": 1.0358255451713396e-05, + "loss": 6.631, + "step": 1658 + }, + { + "epoch": 0.93, + "learning_rate": 1.02803738317757e-05, + "loss": 6.5562, + "step": 1659 + }, + { + "epoch": 0.93, + "learning_rate": 1.0202492211838006e-05, + "loss": 6.7917, + "step": 1660 + }, + { + "epoch": 0.93, + "learning_rate": 1.0124610591900312e-05, + "loss": 6.6893, + "step": 1661 + }, + { + "epoch": 0.93, + "learning_rate": 1.0046728971962617e-05, + "loss": 6.5926, + "step": 1662 + }, + { + "epoch": 0.93, + "learning_rate": 9.968847352024923e-06, + "loss": 6.5844, + "step": 1663 + }, + { + "epoch": 0.93, + "learning_rate": 9.890965732087227e-06, + "loss": 6.8132, + "step": 1664 + }, + { + "epoch": 0.93, + "learning_rate": 9.813084112149533e-06, + "loss": 6.8008, + "step": 1665 + }, + { + "epoch": 0.93, + "learning_rate": 9.735202492211838e-06, + "loss": 6.7277, + "step": 1666 + }, + { + "epoch": 0.93, + "learning_rate": 9.657320872274144e-06, + "loss": 6.8007, + "step": 1667 + }, + { + "epoch": 0.93, + "learning_rate": 9.579439252336448e-06, + "loss": 6.6529, + "step": 1668 + }, + { + "epoch": 0.94, + "learning_rate": 9.501557632398754e-06, + "loss": 6.6321, + "step": 1669 + }, + { + "epoch": 0.94, + "learning_rate": 9.42367601246106e-06, + "loss": 6.8933, + "step": 1670 + }, + { + "epoch": 0.94, + "learning_rate": 9.345794392523365e-06, + "loss": 6.7081, + "step": 1671 + }, + { + "epoch": 0.94, + "learning_rate": 9.267912772585669e-06, + "loss": 6.9494, + "step": 1672 + }, + { + "epoch": 0.94, + "learning_rate": 9.190031152647975e-06, + "loss": 6.7644, + "step": 1673 + }, + { + "epoch": 0.94, + "learning_rate": 9.11214953271028e-06, + "loss": 6.9127, + "step": 1674 + }, + { + "epoch": 0.94, + "learning_rate": 9.034267912772586e-06, + "loss": 7.0531, + "step": 1675 + }, + { + "epoch": 0.94, + "learning_rate": 8.956386292834892e-06, + "loss": 6.5159, + "step": 1676 + }, + { + "epoch": 0.94, + "learning_rate": 8.878504672897196e-06, + "loss": 6.5938, + "step": 1677 + }, + { + "epoch": 0.94, + "learning_rate": 8.800623052959501e-06, + "loss": 6.6733, + "step": 1678 + }, + { + "epoch": 0.94, + "learning_rate": 8.722741433021807e-06, + "loss": 6.7465, + "step": 1679 + }, + { + "epoch": 0.94, + "learning_rate": 8.644859813084113e-06, + "loss": 6.7056, + "step": 1680 + }, + { + "epoch": 0.94, + "learning_rate": 8.566978193146417e-06, + "loss": 6.5569, + "step": 1681 + }, + { + "epoch": 0.94, + "learning_rate": 8.489096573208722e-06, + "loss": 6.4809, + "step": 1682 + }, + { + "epoch": 0.94, + "learning_rate": 8.411214953271028e-06, + "loss": 6.7494, + "step": 1683 + }, + { + "epoch": 0.94, + "learning_rate": 8.333333333333334e-06, + "loss": 6.6975, + "step": 1684 + }, + { + "epoch": 0.94, + "learning_rate": 8.255451713395638e-06, + "loss": 6.8373, + "step": 1685 + }, + { + "epoch": 0.95, + "learning_rate": 8.177570093457943e-06, + "loss": 6.7578, + "step": 1686 + }, + { + "epoch": 0.95, + "learning_rate": 8.099688473520249e-06, + "loss": 6.7829, + "step": 1687 + }, + { + "epoch": 0.95, + "learning_rate": 8.021806853582555e-06, + "loss": 6.9281, + "step": 1688 + }, + { + "epoch": 0.95, + "learning_rate": 7.94392523364486e-06, + "loss": 6.8377, + "step": 1689 + }, + { + "epoch": 0.95, + "learning_rate": 7.866043613707164e-06, + "loss": 6.5166, + "step": 1690 + }, + { + "epoch": 0.95, + "learning_rate": 7.78816199376947e-06, + "loss": 6.8095, + "step": 1691 + }, + { + "epoch": 0.95, + "learning_rate": 7.710280373831776e-06, + "loss": 6.7521, + "step": 1692 + }, + { + "epoch": 0.95, + "learning_rate": 7.632398753894081e-06, + "loss": 6.8423, + "step": 1693 + }, + { + "epoch": 0.95, + "learning_rate": 7.554517133956386e-06, + "loss": 6.7741, + "step": 1694 + }, + { + "epoch": 0.95, + "learning_rate": 7.476635514018691e-06, + "loss": 6.745, + "step": 1695 + }, + { + "epoch": 0.95, + "learning_rate": 7.398753894080997e-06, + "loss": 6.5862, + "step": 1696 + }, + { + "epoch": 0.95, + "learning_rate": 7.3208722741433015e-06, + "loss": 6.3854, + "step": 1697 + }, + { + "epoch": 0.95, + "learning_rate": 7.242990654205607e-06, + "loss": 6.5175, + "step": 1698 + }, + { + "epoch": 0.95, + "learning_rate": 7.165109034267913e-06, + "loss": 6.4162, + "step": 1699 + }, + { + "epoch": 0.95, + "learning_rate": 7.087227414330218e-06, + "loss": 6.4625, + "step": 1700 + }, + { + "epoch": 0.95, + "learning_rate": 7.009345794392523e-06, + "loss": 6.8769, + "step": 1701 + }, + { + "epoch": 0.95, + "learning_rate": 6.931464174454828e-06, + "loss": 6.6893, + "step": 1702 + }, + { + "epoch": 0.95, + "learning_rate": 6.853582554517134e-06, + "loss": 6.826, + "step": 1703 + }, + { + "epoch": 0.96, + "learning_rate": 6.775700934579439e-06, + "loss": 6.8455, + "step": 1704 + }, + { + "epoch": 0.96, + "learning_rate": 6.697819314641744e-06, + "loss": 6.787, + "step": 1705 + }, + { + "epoch": 0.96, + "learning_rate": 6.619937694704049e-06, + "loss": 6.7078, + "step": 1706 + }, + { + "epoch": 0.96, + "learning_rate": 6.542056074766355e-06, + "loss": 6.7412, + "step": 1707 + }, + { + "epoch": 0.96, + "learning_rate": 6.46417445482866e-06, + "loss": 6.8571, + "step": 1708 + }, + { + "epoch": 0.96, + "learning_rate": 6.386292834890965e-06, + "loss": 6.9124, + "step": 1709 + }, + { + "epoch": 0.96, + "learning_rate": 6.308411214953271e-06, + "loss": 7.0675, + "step": 1710 + }, + { + "epoch": 0.96, + "learning_rate": 6.230529595015577e-06, + "loss": 6.5644, + "step": 1711 + }, + { + "epoch": 0.96, + "learning_rate": 6.1526479750778815e-06, + "loss": 6.8401, + "step": 1712 + }, + { + "epoch": 0.96, + "learning_rate": 6.074766355140187e-06, + "loss": 6.9041, + "step": 1713 + }, + { + "epoch": 0.96, + "learning_rate": 5.996884735202493e-06, + "loss": 6.7827, + "step": 1714 + }, + { + "epoch": 0.96, + "learning_rate": 5.919003115264798e-06, + "loss": 6.6781, + "step": 1715 + }, + { + "epoch": 0.96, + "learning_rate": 5.841121495327103e-06, + "loss": 6.8104, + "step": 1716 + }, + { + "epoch": 0.96, + "learning_rate": 5.763239875389408e-06, + "loss": 7.0362, + "step": 1717 + }, + { + "epoch": 0.96, + "learning_rate": 5.685358255451714e-06, + "loss": 6.9074, + "step": 1718 + }, + { + "epoch": 0.96, + "learning_rate": 5.607476635514019e-06, + "loss": 6.5858, + "step": 1719 + }, + { + "epoch": 0.96, + "learning_rate": 5.529595015576324e-06, + "loss": 6.9519, + "step": 1720 + }, + { + "epoch": 0.96, + "learning_rate": 5.451713395638629e-06, + "loss": 6.665, + "step": 1721 + }, + { + "epoch": 0.97, + "learning_rate": 5.373831775700935e-06, + "loss": 6.6528, + "step": 1722 + }, + { + "epoch": 0.97, + "learning_rate": 5.29595015576324e-06, + "loss": 6.8303, + "step": 1723 + }, + { + "epoch": 0.97, + "learning_rate": 5.218068535825545e-06, + "loss": 6.7899, + "step": 1724 + }, + { + "epoch": 0.97, + "learning_rate": 5.14018691588785e-06, + "loss": 6.8034, + "step": 1725 + }, + { + "epoch": 0.97, + "learning_rate": 5.062305295950156e-06, + "loss": 6.4999, + "step": 1726 + }, + { + "epoch": 0.97, + "learning_rate": 4.9844236760124615e-06, + "loss": 6.7517, + "step": 1727 + }, + { + "epoch": 0.97, + "learning_rate": 4.906542056074766e-06, + "loss": 6.8789, + "step": 1728 + }, + { + "epoch": 0.97, + "learning_rate": 4.828660436137072e-06, + "loss": 6.8491, + "step": 1729 + }, + { + "epoch": 0.97, + "learning_rate": 4.750778816199377e-06, + "loss": 6.7971, + "step": 1730 + }, + { + "epoch": 0.97, + "learning_rate": 4.6728971962616825e-06, + "loss": 6.5306, + "step": 1731 + }, + { + "epoch": 0.97, + "learning_rate": 4.595015576323987e-06, + "loss": 6.6106, + "step": 1732 + }, + { + "epoch": 0.97, + "learning_rate": 4.517133956386293e-06, + "loss": 6.6273, + "step": 1733 + }, + { + "epoch": 0.97, + "learning_rate": 4.439252336448598e-06, + "loss": 6.7694, + "step": 1734 + }, + { + "epoch": 0.97, + "learning_rate": 4.3613707165109035e-06, + "loss": 6.8861, + "step": 1735 + }, + { + "epoch": 0.97, + "learning_rate": 4.283489096573208e-06, + "loss": 6.832, + "step": 1736 + }, + { + "epoch": 0.97, + "learning_rate": 4.205607476635514e-06, + "loss": 6.443, + "step": 1737 + }, + { + "epoch": 0.97, + "learning_rate": 4.127725856697819e-06, + "loss": 6.8272, + "step": 1738 + }, + { + "epoch": 0.97, + "learning_rate": 4.0498442367601245e-06, + "loss": 6.7221, + "step": 1739 + }, + { + "epoch": 0.98, + "learning_rate": 3.97196261682243e-06, + "loss": 6.7032, + "step": 1740 + }, + { + "epoch": 0.98, + "learning_rate": 3.894080996884735e-06, + "loss": 6.6335, + "step": 1741 + }, + { + "epoch": 0.98, + "learning_rate": 3.816199376947041e-06, + "loss": 6.7585, + "step": 1742 + }, + { + "epoch": 0.98, + "learning_rate": 3.7383177570093455e-06, + "loss": 6.6755, + "step": 1743 + }, + { + "epoch": 0.98, + "learning_rate": 3.6604361370716508e-06, + "loss": 6.4035, + "step": 1744 + }, + { + "epoch": 0.98, + "learning_rate": 3.5825545171339564e-06, + "loss": 6.4804, + "step": 1745 + }, + { + "epoch": 0.98, + "learning_rate": 3.5046728971962617e-06, + "loss": 6.6317, + "step": 1746 + }, + { + "epoch": 0.98, + "learning_rate": 3.426791277258567e-06, + "loss": 6.6527, + "step": 1747 + }, + { + "epoch": 0.98, + "learning_rate": 3.348909657320872e-06, + "loss": 6.3416, + "step": 1748 + }, + { + "epoch": 0.98, + "learning_rate": 3.2710280373831774e-06, + "loss": 6.3009, + "step": 1749 + }, + { + "epoch": 0.98, + "learning_rate": 3.1931464174454827e-06, + "loss": 6.4027, + "step": 1750 + }, + { + "epoch": 0.98, + "learning_rate": 3.1152647975077884e-06, + "loss": 6.6928, + "step": 1751 + }, + { + "epoch": 0.98, + "learning_rate": 3.0373831775700936e-06, + "loss": 6.5945, + "step": 1752 + }, + { + "epoch": 0.98, + "learning_rate": 2.959501557632399e-06, + "loss": 6.9042, + "step": 1753 + }, + { + "epoch": 0.98, + "learning_rate": 2.881619937694704e-06, + "loss": 6.7598, + "step": 1754 + }, + { + "epoch": 0.98, + "learning_rate": 2.8037383177570094e-06, + "loss": 7.0008, + "step": 1755 + }, + { + "epoch": 0.98, + "learning_rate": 2.7258566978193146e-06, + "loss": 6.554, + "step": 1756 + }, + { + "epoch": 0.98, + "learning_rate": 2.64797507788162e-06, + "loss": 6.5825, + "step": 1757 + }, + { + "epoch": 0.99, + "learning_rate": 2.570093457943925e-06, + "loss": 6.635, + "step": 1758 + }, + { + "epoch": 0.99, + "learning_rate": 2.4922118380062308e-06, + "loss": 6.9067, + "step": 1759 + }, + { + "epoch": 0.99, + "learning_rate": 2.414330218068536e-06, + "loss": 6.8028, + "step": 1760 + }, + { + "epoch": 0.99, + "learning_rate": 2.3364485981308413e-06, + "loss": 6.8325, + "step": 1761 + }, + { + "epoch": 0.99, + "learning_rate": 2.2585669781931465e-06, + "loss": 6.6665, + "step": 1762 + }, + { + "epoch": 0.99, + "learning_rate": 2.1806853582554518e-06, + "loss": 6.753, + "step": 1763 + }, + { + "epoch": 0.99, + "learning_rate": 2.102803738317757e-06, + "loss": 6.8656, + "step": 1764 + }, + { + "epoch": 0.99, + "learning_rate": 2.0249221183800623e-06, + "loss": 6.5606, + "step": 1765 + }, + { + "epoch": 0.99, + "learning_rate": 1.9470404984423675e-06, + "loss": 6.7774, + "step": 1766 + }, + { + "epoch": 0.99, + "learning_rate": 1.8691588785046728e-06, + "loss": 6.6039, + "step": 1767 + }, + { + "epoch": 0.99, + "learning_rate": 1.7912772585669782e-06, + "loss": 6.5504, + "step": 1768 + }, + { + "epoch": 0.99, + "learning_rate": 1.7133956386292835e-06, + "loss": 6.6879, + "step": 1769 + }, + { + "epoch": 0.99, + "learning_rate": 1.6355140186915887e-06, + "loss": 6.6818, + "step": 1770 + }, + { + "epoch": 0.99, + "learning_rate": 1.5576323987538942e-06, + "loss": 6.8449, + "step": 1771 + }, + { + "epoch": 0.99, + "learning_rate": 1.4797507788161994e-06, + "loss": 6.6066, + "step": 1772 + }, + { + "epoch": 0.99, + "learning_rate": 1.4018691588785047e-06, + "loss": 6.7217, + "step": 1773 + }, + { + "epoch": 0.99, + "learning_rate": 1.32398753894081e-06, + "loss": 6.6996, + "step": 1774 + }, + { + "epoch": 0.99, + "learning_rate": 1.2461059190031154e-06, + "loss": 6.5485, + "step": 1775 + }, + { + "epoch": 1.0, + "learning_rate": 1.1682242990654206e-06, + "loss": 6.7448, + "step": 1776 + }, + { + "epoch": 1.0, + "learning_rate": 1.0903426791277259e-06, + "loss": 6.5528, + "step": 1777 + }, + { + "epoch": 1.0, + "learning_rate": 1.0124610591900311e-06, + "loss": 6.6893, + "step": 1778 + }, + { + "epoch": 1.0, + "learning_rate": 9.345794392523364e-07, + "loss": 6.8809, + "step": 1779 + }, + { + "epoch": 1.0, + "learning_rate": 8.566978193146417e-07, + "loss": 6.6042, + "step": 1780 + }, + { + "epoch": 1.0, + "learning_rate": 7.788161993769471e-07, + "loss": 6.4283, + "step": 1781 + }, + { + "epoch": 1.0, + "learning_rate": 7.009345794392523e-07, + "loss": 6.5139, + "step": 1782 + }, + { + "epoch": 1.0, + "learning_rate": 6.230529595015577e-07, + "loss": 6.2382, + "step": 1783 + }, + { + "epoch": 1.0, + "learning_rate": 5.451713395638629e-07, + "loss": 5.9313, + "step": 1784 + }, { "epoch": 1.0, - "step": 297, + "step": 1784, "total_flos": 0.0, - "train_loss": 7.210098851008046, - "train_runtime": 4644.899, - "train_samples_per_second": 6.144, - "train_steps_per_second": 0.064 + "train_loss": 6.858208657647462, + "train_runtime": 8259.6855, + "train_samples_per_second": 3.455, + "train_steps_per_second": 0.216 } ], - "max_steps": 297, + "max_steps": 1784, "num_train_epochs": 1, "total_flos": 0.0, "trial_name": null,