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": 1.0, - "global_step": 446, + "epoch": 0.9995796553173603, + "global_step": 1189, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, @@ -10,2690 +10,7166 @@ { "epoch": 0.0, "learning_rate": 0.0, - "loss": 4.7746, + "loss": 4.8482, "step": 1 }, { "epoch": 0.0, - "learning_rate": 6.000000000000001e-08, - "loss": 4.9289, + "learning_rate": 0.0, + "loss": 5.0423, "step": 2 }, { - "epoch": 0.01, - "learning_rate": 1.2000000000000002e-07, - "loss": 4.8883, + "epoch": 0.0, + "learning_rate": 6.000000000000001e-08, + "loss": 5.0389, "step": 3 }, { - "epoch": 0.01, - "learning_rate": 1.8e-07, - "loss": 4.8789, + "epoch": 0.0, + "learning_rate": 1.2000000000000002e-07, + "loss": 4.8622, "step": 4 }, { - "epoch": 0.01, - "learning_rate": 2.4000000000000003e-07, - "loss": 4.8296, + "epoch": 0.0, + "learning_rate": 1.8e-07, + "loss": 4.5971, "step": 5 }, { "epoch": 0.01, - "learning_rate": 3.0000000000000004e-07, - "loss": 4.8764, + "learning_rate": 2.4000000000000003e-07, + "loss": 4.9547, "step": 6 }, { - "epoch": 0.02, - "learning_rate": 3.6e-07, - "loss": 4.8601, + "epoch": 0.01, + "learning_rate": 3.0000000000000004e-07, + "loss": 4.735, "step": 7 }, { - "epoch": 0.02, - "learning_rate": 4.2e-07, - "loss": 4.9133, + "epoch": 0.01, + "learning_rate": 3.6e-07, + "loss": 4.7239, "step": 8 }, { - "epoch": 0.02, - "learning_rate": 4.800000000000001e-07, - "loss": 4.916, + "epoch": 0.01, + "learning_rate": 3.6e-07, + "loss": 4.9385, "step": 9 }, { - "epoch": 0.02, - "learning_rate": 5.4e-07, - "loss": 4.7759, + "epoch": 0.01, + "learning_rate": 4.2e-07, + "loss": 4.7796, "step": 10 }, { - "epoch": 0.02, - "learning_rate": 6.000000000000001e-07, - "loss": 4.8958, + "epoch": 0.01, + "learning_rate": 4.800000000000001e-07, + "loss": 4.8294, "step": 11 }, { - "epoch": 0.03, - "learning_rate": 6.599999999999999e-07, - "loss": 4.8645, + "epoch": 0.01, + "learning_rate": 5.4e-07, + "loss": 4.6947, "step": 12 }, { - "epoch": 0.03, - "learning_rate": 7.2e-07, - "loss": 4.8147, + "epoch": 0.01, + "learning_rate": 6.000000000000001e-07, + "loss": 4.9776, "step": 13 }, { - "epoch": 0.03, - "learning_rate": 7.799999999999999e-07, - "loss": 4.8259, + "epoch": 0.01, + "learning_rate": 6.599999999999999e-07, + "loss": 4.7534, "step": 14 }, { - "epoch": 0.03, - "learning_rate": 8.4e-07, - "loss": 4.7034, + "epoch": 0.01, + "learning_rate": 7.2e-07, + "loss": 4.6509, "step": 15 }, { - "epoch": 0.04, - "learning_rate": 9e-07, - "loss": 4.8451, + "epoch": 0.01, + "learning_rate": 7.799999999999999e-07, + "loss": 4.8797, "step": 16 }, { - "epoch": 0.04, - "learning_rate": 9.600000000000001e-07, - "loss": 4.7678, + "epoch": 0.01, + "learning_rate": 8.4e-07, + "loss": 4.8165, "step": 17 }, { - "epoch": 0.04, - "learning_rate": 1.0200000000000002e-06, - "loss": 4.8715, + "epoch": 0.02, + "learning_rate": 9e-07, + "loss": 4.9677, "step": 18 }, { - "epoch": 0.04, - "learning_rate": 1.08e-06, - "loss": 4.6656, + "epoch": 0.02, + "learning_rate": 9.600000000000001e-07, + "loss": 4.7116, "step": 19 }, { - "epoch": 0.04, - "learning_rate": 1.14e-06, - "loss": 4.8439, + "epoch": 0.02, + "learning_rate": 1.0200000000000002e-06, + "loss": 4.9459, "step": 20 }, { - "epoch": 0.05, - "learning_rate": 1.2000000000000002e-06, - "loss": 4.8241, + "epoch": 0.02, + "learning_rate": 1.08e-06, + "loss": 4.9045, "step": 21 }, { - "epoch": 0.05, - "learning_rate": 1.26e-06, - "loss": 4.7418, + "epoch": 0.02, + "learning_rate": 1.14e-06, + "loss": 4.6776, "step": 22 }, { - "epoch": 0.05, - "learning_rate": 1.3199999999999999e-06, - "loss": 4.8523, + "epoch": 0.02, + "learning_rate": 1.2000000000000002e-06, + "loss": 4.8528, "step": 23 }, { - "epoch": 0.05, - "learning_rate": 1.38e-06, - "loss": 4.8442, + "epoch": 0.02, + "learning_rate": 1.26e-06, + "loss": 4.8938, "step": 24 }, { - "epoch": 0.06, - "learning_rate": 1.44e-06, - "loss": 4.6269, + "epoch": 0.02, + "learning_rate": 1.3199999999999999e-06, + "loss": 4.7033, "step": 25 }, { - "epoch": 0.06, - "learning_rate": 1.5e-06, - "loss": 4.8907, + "epoch": 0.02, + "learning_rate": 1.38e-06, + "loss": 4.8629, "step": 26 }, { - "epoch": 0.06, - "learning_rate": 1.5599999999999999e-06, - "loss": 4.7369, + "epoch": 0.02, + "learning_rate": 1.44e-06, + "loss": 4.728, "step": 27 }, { - "epoch": 0.06, - "learning_rate": 1.62e-06, - "loss": 4.5892, + "epoch": 0.02, + "learning_rate": 1.5e-06, + "loss": 4.569, "step": 28 }, { - "epoch": 0.07, - "learning_rate": 1.68e-06, - "loss": 4.564, + "epoch": 0.02, + "learning_rate": 1.5599999999999999e-06, + "loss": 4.6476, "step": 29 }, { - "epoch": 0.07, - "learning_rate": 1.74e-06, - "loss": 4.7634, + "epoch": 0.03, + "learning_rate": 1.62e-06, + "loss": 4.6812, "step": 30 }, { - "epoch": 0.07, - "learning_rate": 1.8e-06, - "loss": 4.735, + "epoch": 0.03, + "learning_rate": 1.68e-06, + "loss": 4.8084, "step": 31 }, { - "epoch": 0.07, - "learning_rate": 1.86e-06, - "loss": 4.5768, + "epoch": 0.03, + "learning_rate": 1.74e-06, + "loss": 4.6104, "step": 32 }, { - "epoch": 0.07, - "learning_rate": 1.9200000000000003e-06, - "loss": 4.6719, + "epoch": 0.03, + "learning_rate": 1.8e-06, + "loss": 4.7272, "step": 33 }, { - "epoch": 0.08, - "learning_rate": 1.98e-06, - "loss": 4.5934, + "epoch": 0.03, + "learning_rate": 1.86e-06, + "loss": 4.4005, "step": 34 }, { - "epoch": 0.08, - "learning_rate": 2.0400000000000004e-06, - "loss": 4.6764, + "epoch": 0.03, + "learning_rate": 1.9200000000000003e-06, + "loss": 4.5867, "step": 35 }, { - "epoch": 0.08, - "learning_rate": 2.1000000000000002e-06, - "loss": 4.6146, + "epoch": 0.03, + "learning_rate": 1.98e-06, + "loss": 4.9098, "step": 36 }, { - "epoch": 0.08, - "learning_rate": 2.16e-06, - "loss": 4.6754, + "epoch": 0.03, + "learning_rate": 2.0400000000000004e-06, + "loss": 4.7237, "step": 37 }, { - "epoch": 0.09, - "learning_rate": 2.22e-06, - "loss": 4.6119, + "epoch": 0.03, + "learning_rate": 2.1000000000000002e-06, + "loss": 4.5612, "step": 38 }, { - "epoch": 0.09, - "learning_rate": 2.28e-06, - "loss": 4.7453, + "epoch": 0.03, + "learning_rate": 2.16e-06, + "loss": 5.0326, "step": 39 }, { - "epoch": 0.09, - "learning_rate": 2.34e-06, - "loss": 4.5306, + "epoch": 0.03, + "learning_rate": 2.22e-06, + "loss": 4.6771, "step": 40 }, { - "epoch": 0.09, - "learning_rate": 2.4000000000000003e-06, - "loss": 4.595, + "epoch": 0.03, + "learning_rate": 2.28e-06, + "loss": 4.5023, "step": 41 }, { - "epoch": 0.09, - "learning_rate": 2.46e-06, - "loss": 4.7049, + "epoch": 0.04, + "learning_rate": 2.34e-06, + "loss": 4.5602, "step": 42 }, { - "epoch": 0.1, - "learning_rate": 2.52e-06, - "loss": 4.4633, + "epoch": 0.04, + "learning_rate": 2.4000000000000003e-06, + "loss": 4.5688, "step": 43 }, { - "epoch": 0.1, - "learning_rate": 2.58e-06, - "loss": 4.6159, + "epoch": 0.04, + "learning_rate": 2.46e-06, + "loss": 4.6182, "step": 44 }, { - "epoch": 0.1, - "learning_rate": 2.6399999999999997e-06, - "loss": 4.7318, + "epoch": 0.04, + "learning_rate": 2.52e-06, + "loss": 4.8205, "step": 45 }, { - "epoch": 0.1, - "learning_rate": 2.7e-06, - "loss": 4.8312, + "epoch": 0.04, + "learning_rate": 2.58e-06, + "loss": 4.7995, "step": 46 }, { - "epoch": 0.11, - "learning_rate": 2.76e-06, - "loss": 4.7198, + "epoch": 0.04, + "learning_rate": 2.6399999999999997e-06, + "loss": 4.9812, "step": 47 }, { - "epoch": 0.11, - "learning_rate": 2.82e-06, - "loss": 4.9727, + "epoch": 0.04, + "learning_rate": 2.7e-06, + "loss": 5.1944, "step": 48 }, { - "epoch": 0.11, - "learning_rate": 2.88e-06, - "loss": 5.057, + "epoch": 0.04, + "learning_rate": 2.76e-06, + "loss": 5.3073, "step": 49 }, { - "epoch": 0.11, - "learning_rate": 2.88e-06, - "loss": 4.837, + "epoch": 0.04, + "learning_rate": 2.76e-06, + "loss": 5.1714, "step": 50 }, { - "epoch": 0.11, - "learning_rate": 2.9400000000000002e-06, - "loss": 4.4908, + "epoch": 0.04, + "learning_rate": 2.82e-06, + "loss": 4.453, "step": 51 }, { - "epoch": 0.12, - "learning_rate": 3e-06, - "loss": 4.3346, + "epoch": 0.04, + "learning_rate": 2.88e-06, + "loss": 4.4799, "step": 52 }, { - "epoch": 0.12, - "learning_rate": 3.06e-06, - "loss": 4.5022, + "epoch": 0.04, + "learning_rate": 2.9400000000000002e-06, + "loss": 4.3157, "step": 53 }, { - "epoch": 0.12, - "learning_rate": 3.1199999999999998e-06, - "loss": 4.4011, + "epoch": 0.05, + "learning_rate": 3e-06, + "loss": 4.3796, "step": 54 }, { - "epoch": 0.12, - "learning_rate": 3.18e-06, - "loss": 4.2133, + "epoch": 0.05, + "learning_rate": 3.06e-06, + "loss": 4.5439, "step": 55 }, { - "epoch": 0.13, - "learning_rate": 3.24e-06, - "loss": 4.4502, + "epoch": 0.05, + "learning_rate": 3.1199999999999998e-06, + "loss": 4.3019, "step": 56 }, { - "epoch": 0.13, - "learning_rate": 3.3e-06, - "loss": 4.4597, + "epoch": 0.05, + "learning_rate": 3.18e-06, + "loss": 4.5605, "step": 57 }, { - "epoch": 0.13, - "learning_rate": 3.36e-06, - "loss": 4.5472, + "epoch": 0.05, + "learning_rate": 3.24e-06, + "loss": 4.4849, "step": 58 }, { - "epoch": 0.13, - "learning_rate": 3.4200000000000003e-06, - "loss": 4.4784, + "epoch": 0.05, + "learning_rate": 3.3e-06, + "loss": 4.3597, "step": 59 }, { - "epoch": 0.13, - "learning_rate": 3.48e-06, - "loss": 4.3192, + "epoch": 0.05, + "learning_rate": 3.36e-06, + "loss": 4.5394, "step": 60 }, { - "epoch": 0.14, - "learning_rate": 3.54e-06, - "loss": 4.4132, + "epoch": 0.05, + "learning_rate": 3.4200000000000003e-06, + "loss": 4.293, "step": 61 }, { - "epoch": 0.14, - "learning_rate": 3.6e-06, - "loss": 4.3723, + "epoch": 0.05, + "learning_rate": 3.48e-06, + "loss": 4.4734, "step": 62 }, { - "epoch": 0.14, - "learning_rate": 3.66e-06, - "loss": 4.3143, + "epoch": 0.05, + "learning_rate": 3.54e-06, + "loss": 4.3956, "step": 63 }, { - "epoch": 0.14, - "learning_rate": 3.72e-06, - "loss": 4.4111, + "epoch": 0.05, + "learning_rate": 3.6e-06, + "loss": 4.2579, "step": 64 }, { - "epoch": 0.15, - "learning_rate": 3.7800000000000002e-06, - "loss": 4.381, + "epoch": 0.05, + "learning_rate": 3.66e-06, + "loss": 4.235, "step": 65 }, { - "epoch": 0.15, - "learning_rate": 3.8400000000000005e-06, - "loss": 4.2726, + "epoch": 0.06, + "learning_rate": 3.72e-06, + "loss": 4.373, "step": 66 }, { - "epoch": 0.15, - "learning_rate": 3.9e-06, - "loss": 4.4058, + "epoch": 0.06, + "learning_rate": 3.7800000000000002e-06, + "loss": 4.4967, "step": 67 }, { - "epoch": 0.15, - "learning_rate": 3.96e-06, - "loss": 4.269, + "epoch": 0.06, + "learning_rate": 3.8400000000000005e-06, + "loss": 4.3602, "step": 68 }, { - "epoch": 0.15, - "learning_rate": 4.0200000000000005e-06, - "loss": 4.3351, + "epoch": 0.06, + "learning_rate": 3.9e-06, + "loss": 4.3296, "step": 69 }, { - "epoch": 0.16, - "learning_rate": 4.080000000000001e-06, - "loss": 4.2911, + "epoch": 0.06, + "learning_rate": 3.96e-06, + "loss": 4.3836, "step": 70 }, { - "epoch": 0.16, - "learning_rate": 4.14e-06, - "loss": 4.434, + "epoch": 0.06, + "learning_rate": 4.0200000000000005e-06, + "loss": 4.5421, "step": 71 }, { - "epoch": 0.16, - "learning_rate": 4.2000000000000004e-06, - "loss": 4.4303, + "epoch": 0.06, + "learning_rate": 4.080000000000001e-06, + "loss": 4.4315, "step": 72 }, { - "epoch": 0.16, - "learning_rate": 4.26e-06, - "loss": 4.2569, + "epoch": 0.06, + "learning_rate": 4.14e-06, + "loss": 4.377, "step": 73 }, { - "epoch": 0.17, - "learning_rate": 4.32e-06, - "loss": 4.3597, + "epoch": 0.06, + "learning_rate": 4.2000000000000004e-06, + "loss": 4.4473, "step": 74 }, { - "epoch": 0.17, - "learning_rate": 4.3799999999999996e-06, - "loss": 4.3462, + "epoch": 0.06, + "learning_rate": 4.26e-06, + "loss": 4.2584, "step": 75 }, { - "epoch": 0.17, - "learning_rate": 4.44e-06, - "loss": 4.3001, + "epoch": 0.06, + "learning_rate": 4.32e-06, + "loss": 4.7131, "step": 76 }, { - "epoch": 0.17, - "learning_rate": 4.5e-06, - "loss": 4.3445, + "epoch": 0.06, + "learning_rate": 4.3799999999999996e-06, + "loss": 4.4143, "step": 77 }, { - "epoch": 0.17, - "learning_rate": 4.56e-06, - "loss": 4.2932, + "epoch": 0.07, + "learning_rate": 4.44e-06, + "loss": 4.2887, "step": 78 }, { - "epoch": 0.18, - "learning_rate": 4.62e-06, - "loss": 4.267, + "epoch": 0.07, + "learning_rate": 4.5e-06, + "loss": 4.286, "step": 79 }, { - "epoch": 0.18, - "learning_rate": 4.68e-06, - "loss": 4.4182, + "epoch": 0.07, + "learning_rate": 4.56e-06, + "loss": 4.3957, "step": 80 }, { - "epoch": 0.18, - "learning_rate": 4.74e-06, - "loss": 4.3713, + "epoch": 0.07, + "learning_rate": 4.62e-06, + "loss": 4.4273, "step": 81 }, { - "epoch": 0.18, - "learning_rate": 4.800000000000001e-06, - "loss": 4.3061, + "epoch": 0.07, + "learning_rate": 4.68e-06, + "loss": 4.4089, "step": 82 }, { - "epoch": 0.19, - "learning_rate": 4.86e-06, - "loss": 4.4143, + "epoch": 0.07, + "learning_rate": 4.74e-06, + "loss": 4.2635, "step": 83 }, { - "epoch": 0.19, - "learning_rate": 4.92e-06, - "loss": 4.2805, + "epoch": 0.07, + "learning_rate": 4.800000000000001e-06, + "loss": 4.4184, "step": 84 }, { - "epoch": 0.19, - "learning_rate": 4.980000000000001e-06, - "loss": 4.3571, + "epoch": 0.07, + "learning_rate": 4.86e-06, + "loss": 4.3043, "step": 85 }, { - "epoch": 0.19, - "learning_rate": 5.04e-06, - "loss": 4.3305, + "epoch": 0.07, + "learning_rate": 4.92e-06, + "loss": 4.3185, "step": 86 }, { - "epoch": 0.2, - "learning_rate": 5.1e-06, - "loss": 4.4209, + "epoch": 0.07, + "learning_rate": 4.980000000000001e-06, + "loss": 4.2074, "step": 87 }, { - "epoch": 0.2, - "learning_rate": 5.16e-06, - "loss": 4.2915, + "epoch": 0.07, + "learning_rate": 5.04e-06, + "loss": 4.4158, "step": 88 }, { - "epoch": 0.2, - "learning_rate": 5.22e-06, - "loss": 4.4348, + "epoch": 0.07, + "learning_rate": 5.1e-06, + "loss": 4.4677, "step": 89 }, { - "epoch": 0.2, - "learning_rate": 5.279999999999999e-06, - "loss": 4.4178, + "epoch": 0.08, + "learning_rate": 5.16e-06, + "loss": 4.368, "step": 90 }, { - "epoch": 0.2, - "learning_rate": 5.34e-06, - "loss": 4.3064, + "epoch": 0.08, + "learning_rate": 5.22e-06, + "loss": 4.4315, "step": 91 }, { - "epoch": 0.21, - "learning_rate": 5.4e-06, - "loss": 4.5617, + "epoch": 0.08, + "learning_rate": 5.279999999999999e-06, + "loss": 4.4858, "step": 92 }, { - "epoch": 0.21, - "learning_rate": 5.46e-06, - "loss": 4.4422, + "epoch": 0.08, + "learning_rate": 5.34e-06, + "loss": 4.1103, "step": 93 }, { - "epoch": 0.21, - "learning_rate": 5.52e-06, - "loss": 4.4235, + "epoch": 0.08, + "learning_rate": 5.4e-06, + "loss": 4.4791, "step": 94 }, { - "epoch": 0.21, - "learning_rate": 5.58e-06, - "loss": 4.3727, + "epoch": 0.08, + "learning_rate": 5.46e-06, + "loss": 4.6979, "step": 95 }, { - "epoch": 0.22, - "learning_rate": 5.64e-06, - "loss": 4.5854, + "epoch": 0.08, + "learning_rate": 5.52e-06, + "loss": 4.506, "step": 96 }, { - "epoch": 0.22, - "learning_rate": 5.7000000000000005e-06, - "loss": 4.5272, + "epoch": 0.08, + "learning_rate": 5.58e-06, + "loss": 4.4602, "step": 97 }, { - "epoch": 0.22, - "learning_rate": 5.76e-06, - "loss": 4.3841, + "epoch": 0.08, + "learning_rate": 5.64e-06, + "loss": 4.6356, "step": 98 }, { - "epoch": 0.22, - "learning_rate": 5.82e-06, - "loss": 4.711, + "epoch": 0.08, + "learning_rate": 5.7000000000000005e-06, + "loss": 4.7009, "step": 99 }, { - "epoch": 0.22, - "learning_rate": 5.8800000000000005e-06, - "loss": 4.4718, + "epoch": 0.08, + "learning_rate": 5.76e-06, + "loss": 4.45, "step": 100 }, { - "epoch": 0.23, - "learning_rate": 5.940000000000001e-06, - "loss": 4.3046, + "epoch": 0.08, + "learning_rate": 5.82e-06, + "loss": 4.0906, "step": 101 }, { - "epoch": 0.23, - "learning_rate": 6e-06, - "loss": 4.2435, + "epoch": 0.09, + "learning_rate": 5.8800000000000005e-06, + "loss": 4.3836, "step": 102 }, { - "epoch": 0.23, - "learning_rate": 6.0600000000000004e-06, - "loss": 4.113, + "epoch": 0.09, + "learning_rate": 5.940000000000001e-06, + "loss": 4.2678, "step": 103 }, { - "epoch": 0.23, - "learning_rate": 6.12e-06, - "loss": 4.1906, + "epoch": 0.09, + "learning_rate": 6e-06, + "loss": 4.3507, "step": 104 }, { - "epoch": 0.24, - "learning_rate": 6.18e-06, - "loss": 4.1371, + "epoch": 0.09, + "learning_rate": 6.0600000000000004e-06, + "loss": 4.2486, "step": 105 }, { - "epoch": 0.24, - "learning_rate": 6.2399999999999995e-06, - "loss": 4.1835, + "epoch": 0.09, + "learning_rate": 6.12e-06, + "loss": 4.3941, "step": 106 }, { - "epoch": 0.24, - "learning_rate": 6.3e-06, - "loss": 4.28, + "epoch": 0.09, + "learning_rate": 6.18e-06, + "loss": 4.4976, "step": 107 }, { - "epoch": 0.24, - "learning_rate": 6.36e-06, - "loss": 4.1821, + "epoch": 0.09, + "learning_rate": 6.2399999999999995e-06, + "loss": 4.4349, "step": 108 }, { - "epoch": 0.24, - "learning_rate": 6.42e-06, - "loss": 4.1884, + "epoch": 0.09, + "learning_rate": 6.3e-06, + "loss": 4.3553, "step": 109 }, { - "epoch": 0.25, - "learning_rate": 6.48e-06, - "loss": 4.2333, + "epoch": 0.09, + "learning_rate": 6.36e-06, + "loss": 4.0747, "step": 110 }, { - "epoch": 0.25, - "learning_rate": 6.54e-06, - "loss": 4.2675, + "epoch": 0.09, + "learning_rate": 6.42e-06, + "loss": 4.385, "step": 111 }, { - "epoch": 0.25, - "learning_rate": 6.6e-06, - "loss": 4.2355, + "epoch": 0.09, + "learning_rate": 6.48e-06, + "loss": 4.4549, "step": 112 }, { - "epoch": 0.25, - "learning_rate": 6.660000000000001e-06, - "loss": 4.2424, + "epoch": 0.09, + "learning_rate": 6.54e-06, + "loss": 4.2384, "step": 113 }, { - "epoch": 0.26, - "learning_rate": 6.72e-06, - "loss": 4.2007, + "epoch": 0.1, + "learning_rate": 6.6e-06, + "loss": 4.4148, "step": 114 }, { - "epoch": 0.26, - "learning_rate": 6.78e-06, - "loss": 4.2562, + "epoch": 0.1, + "learning_rate": 6.660000000000001e-06, + "loss": 4.3352, "step": 115 }, { - "epoch": 0.26, - "learning_rate": 6.840000000000001e-06, - "loss": 4.3384, + "epoch": 0.1, + "learning_rate": 6.72e-06, + "loss": 4.4855, "step": 116 }, { - "epoch": 0.26, - "learning_rate": 6.900000000000001e-06, - "loss": 4.217, + "epoch": 0.1, + "learning_rate": 6.78e-06, + "loss": 4.2227, "step": 117 }, { - "epoch": 0.26, - "learning_rate": 6.96e-06, - "loss": 4.37, + "epoch": 0.1, + "learning_rate": 6.840000000000001e-06, + "loss": 4.0853, "step": 118 }, { - "epoch": 0.27, - "learning_rate": 7.0200000000000006e-06, - "loss": 4.2666, + "epoch": 0.1, + "learning_rate": 6.900000000000001e-06, + "loss": 4.189, "step": 119 }, { - "epoch": 0.27, - "learning_rate": 7.08e-06, - "loss": 4.292, + "epoch": 0.1, + "learning_rate": 6.96e-06, + "loss": 4.2727, "step": 120 }, { - "epoch": 0.27, - "learning_rate": 7.14e-06, - "loss": 4.1314, + "epoch": 0.1, + "learning_rate": 7.0200000000000006e-06, + "loss": 4.5555, "step": 121 }, { - "epoch": 0.27, - "learning_rate": 7.2e-06, - "loss": 4.2254, + "epoch": 0.1, + "learning_rate": 7.08e-06, + "loss": 4.2642, "step": 122 }, { - "epoch": 0.28, - "learning_rate": 7.26e-06, - "loss": 4.236, + "epoch": 0.1, + "learning_rate": 7.14e-06, + "loss": 4.3601, "step": 123 }, { - "epoch": 0.28, - "learning_rate": 7.32e-06, - "loss": 4.2277, + "epoch": 0.1, + "learning_rate": 7.2e-06, + "loss": 4.3532, "step": 124 }, { - "epoch": 0.28, - "learning_rate": 7.3800000000000005e-06, - "loss": 4.3383, + "epoch": 0.11, + "learning_rate": 7.26e-06, + "loss": 4.1326, "step": 125 }, { - "epoch": 0.28, - "learning_rate": 7.44e-06, - "loss": 4.3372, + "epoch": 0.11, + "learning_rate": 7.32e-06, + "loss": 4.3052, "step": 126 }, { - "epoch": 0.28, - "learning_rate": 7.5e-06, - "loss": 4.2553, + "epoch": 0.11, + "learning_rate": 7.3800000000000005e-06, + "loss": 4.5223, "step": 127 }, { - "epoch": 0.29, - "learning_rate": 7.5600000000000005e-06, - "loss": 4.2319, + "epoch": 0.11, + "learning_rate": 7.44e-06, + "loss": 4.1606, "step": 128 }, { - "epoch": 0.29, - "learning_rate": 7.62e-06, - "loss": 4.1354, + "epoch": 0.11, + "learning_rate": 7.5e-06, + "loss": 4.0518, "step": 129 }, { - "epoch": 0.29, - "learning_rate": 7.680000000000001e-06, - "loss": 4.2859, + "epoch": 0.11, + "learning_rate": 7.5600000000000005e-06, + "loss": 4.348, "step": 130 }, { - "epoch": 0.29, - "learning_rate": 7.74e-06, - "loss": 4.1919, + "epoch": 0.11, + "learning_rate": 7.62e-06, + "loss": 4.293, "step": 131 }, { - "epoch": 0.3, - "learning_rate": 7.8e-06, - "loss": 4.2501, + "epoch": 0.11, + "learning_rate": 7.680000000000001e-06, + "loss": 4.2408, "step": 132 }, { - "epoch": 0.3, - "learning_rate": 7.860000000000001e-06, - "loss": 4.1723, + "epoch": 0.11, + "learning_rate": 7.74e-06, + "loss": 4.4414, "step": 133 }, { - "epoch": 0.3, - "learning_rate": 7.92e-06, - "loss": 4.2081, + "epoch": 0.11, + "learning_rate": 7.8e-06, + "loss": 4.308, "step": 134 }, { - "epoch": 0.3, - "learning_rate": 7.98e-06, - "loss": 4.3765, + "epoch": 0.11, + "learning_rate": 7.860000000000001e-06, + "loss": 4.4456, "step": 135 }, { - "epoch": 0.3, - "learning_rate": 8.040000000000001e-06, - "loss": 4.2239, + "epoch": 0.11, + "learning_rate": 7.92e-06, + "loss": 4.1247, "step": 136 }, { - "epoch": 0.31, - "learning_rate": 8.1e-06, - "loss": 4.3212, + "epoch": 0.12, + "learning_rate": 7.98e-06, + "loss": 4.4136, "step": 137 }, { - "epoch": 0.31, - "learning_rate": 8.160000000000001e-06, - "loss": 4.3565, + "epoch": 0.12, + "learning_rate": 8.040000000000001e-06, + "loss": 4.4033, "step": 138 }, { - "epoch": 0.31, - "learning_rate": 8.220000000000001e-06, - "loss": 4.3689, + "epoch": 0.12, + "learning_rate": 8.1e-06, + "loss": 4.1514, "step": 139 }, { - "epoch": 0.31, - "learning_rate": 8.28e-06, - "loss": 4.3316, + "epoch": 0.12, + "learning_rate": 8.160000000000001e-06, + "loss": 4.3848, "step": 140 }, { - "epoch": 0.32, - "learning_rate": 8.340000000000001e-06, - "loss": 4.4513, + "epoch": 0.12, + "learning_rate": 8.220000000000001e-06, + "loss": 4.4218, "step": 141 }, { - "epoch": 0.32, - "learning_rate": 8.400000000000001e-06, - "loss": 4.3836, + "epoch": 0.12, + "learning_rate": 8.28e-06, + "loss": 4.261, "step": 142 }, { - "epoch": 0.32, - "learning_rate": 8.459999999999999e-06, - "loss": 4.3245, + "epoch": 0.12, + "learning_rate": 8.340000000000001e-06, + "loss": 4.1636, "step": 143 }, { - "epoch": 0.32, - "learning_rate": 8.52e-06, - "loss": 4.3805, + "epoch": 0.12, + "learning_rate": 8.400000000000001e-06, + "loss": 4.5385, "step": 144 }, { - "epoch": 0.33, - "learning_rate": 8.58e-06, - "loss": 4.2924, + "epoch": 0.12, + "learning_rate": 8.459999999999999e-06, + "loss": 4.2805, "step": 145 }, { - "epoch": 0.33, - "learning_rate": 8.64e-06, - "loss": 4.3797, + "epoch": 0.12, + "learning_rate": 8.52e-06, + "loss": 4.6044, "step": 146 }, { - "epoch": 0.33, - "learning_rate": 8.7e-06, - "loss": 4.6306, + "epoch": 0.12, + "learning_rate": 8.58e-06, + "loss": 4.3167, "step": 147 }, { - "epoch": 0.33, - "learning_rate": 8.759999999999999e-06, - "loss": 4.77, + "epoch": 0.12, + "learning_rate": 8.64e-06, + "loss": 4.2034, "step": 148 }, { - "epoch": 0.33, - "learning_rate": 8.82e-06, - "loss": 4.5055, + "epoch": 0.13, + "learning_rate": 8.7e-06, + "loss": 4.4271, "step": 149 }, { - "epoch": 0.34, - "learning_rate": 8.88e-06, - "loss": 4.6005, + "epoch": 0.13, + "learning_rate": 8.759999999999999e-06, + "loss": 4.2278, "step": 150 }, { - "epoch": 0.34, - "learning_rate": 8.939999999999999e-06, - "loss": 4.1378, + "epoch": 0.13, + "learning_rate": 8.82e-06, + "loss": 4.2755, "step": 151 }, { - "epoch": 0.34, - "learning_rate": 9e-06, - "loss": 4.2224, + "epoch": 0.13, + "learning_rate": 8.88e-06, + "loss": 4.1613, "step": 152 }, { - "epoch": 0.34, - "learning_rate": 9.06e-06, - "loss": 4.2385, + "epoch": 0.13, + "learning_rate": 8.939999999999999e-06, + "loss": 4.2435, "step": 153 }, { - "epoch": 0.35, - "learning_rate": 9.12e-06, - "loss": 4.1296, + "epoch": 0.13, + "learning_rate": 9e-06, + "loss": 4.3511, "step": 154 }, { - "epoch": 0.35, - "learning_rate": 9.18e-06, - "loss": 4.2382, + "epoch": 0.13, + "learning_rate": 9.06e-06, + "loss": 4.2418, "step": 155 }, { - "epoch": 0.35, - "learning_rate": 9.24e-06, - "loss": 4.0975, + "epoch": 0.13, + "learning_rate": 9.12e-06, + "loss": 4.0787, "step": 156 }, { - "epoch": 0.35, - "learning_rate": 9.3e-06, - "loss": 4.1335, + "epoch": 0.13, + "learning_rate": 9.18e-06, + "loss": 4.2462, "step": 157 }, { - "epoch": 0.35, - "learning_rate": 9.36e-06, - "loss": 4.2322, + "epoch": 0.13, + "learning_rate": 9.24e-06, + "loss": 4.4351, "step": 158 }, { - "epoch": 0.36, - "learning_rate": 9.42e-06, - "loss": 4.2269, + "epoch": 0.13, + "learning_rate": 9.3e-06, + "loss": 4.1828, "step": 159 }, { - "epoch": 0.36, - "learning_rate": 9.48e-06, - "loss": 4.2434, + "epoch": 0.13, + "learning_rate": 9.36e-06, + "loss": 3.98, "step": 160 }, { - "epoch": 0.36, - "learning_rate": 9.54e-06, - "loss": 4.2971, + "epoch": 0.14, + "learning_rate": 9.42e-06, + "loss": 4.2868, "step": 161 }, { - "epoch": 0.36, - "learning_rate": 9.600000000000001e-06, - "loss": 4.2479, + "epoch": 0.14, + "learning_rate": 9.48e-06, + "loss": 4.2953, "step": 162 }, { - "epoch": 0.37, - "learning_rate": 9.66e-06, - "loss": 4.2019, + "epoch": 0.14, + "learning_rate": 9.54e-06, + "loss": 4.2162, "step": 163 }, { - "epoch": 0.37, - "learning_rate": 9.72e-06, - "loss": 4.2686, + "epoch": 0.14, + "learning_rate": 9.600000000000001e-06, + "loss": 4.0061, "step": 164 }, { - "epoch": 0.37, - "learning_rate": 9.780000000000001e-06, - "loss": 4.1306, + "epoch": 0.14, + "learning_rate": 9.66e-06, + "loss": 4.2366, "step": 165 }, { - "epoch": 0.37, - "learning_rate": 9.84e-06, - "loss": 4.1961, + "epoch": 0.14, + "learning_rate": 9.72e-06, + "loss": 3.9201, "step": 166 }, { - "epoch": 0.37, - "learning_rate": 9.9e-06, - "loss": 4.1072, + "epoch": 0.14, + "learning_rate": 9.780000000000001e-06, + "loss": 4.2515, "step": 167 }, { - "epoch": 0.38, - "learning_rate": 9.960000000000001e-06, - "loss": 4.1856, + "epoch": 0.14, + "learning_rate": 9.84e-06, + "loss": 4.1252, "step": 168 }, { - "epoch": 0.38, - "learning_rate": 1.002e-05, - "loss": 4.2457, + "epoch": 0.14, + "learning_rate": 9.9e-06, + "loss": 4.3622, "step": 169 }, { - "epoch": 0.38, - "learning_rate": 1.008e-05, - "loss": 4.2701, + "epoch": 0.14, + "learning_rate": 9.960000000000001e-06, + "loss": 4.2236, "step": 170 }, { - "epoch": 0.38, - "learning_rate": 1.0140000000000001e-05, - "loss": 4.2464, + "epoch": 0.14, + "learning_rate": 1.002e-05, + "loss": 4.2973, "step": 171 }, { - "epoch": 0.39, - "learning_rate": 1.02e-05, - "loss": 4.3068, + "epoch": 0.14, + "learning_rate": 1.008e-05, + "loss": 4.116, "step": 172 }, { - "epoch": 0.39, - "learning_rate": 1.0260000000000002e-05, - "loss": 4.1162, + "epoch": 0.15, + "learning_rate": 1.0140000000000001e-05, + "loss": 4.0488, "step": 173 }, { - "epoch": 0.39, - "learning_rate": 1.032e-05, - "loss": 4.2632, + "epoch": 0.15, + "learning_rate": 1.02e-05, + "loss": 4.3851, "step": 174 }, { - "epoch": 0.39, - "learning_rate": 1.0379999999999999e-05, - "loss": 4.3134, + "epoch": 0.15, + "learning_rate": 1.0260000000000002e-05, + "loss": 4.2722, "step": 175 }, { - "epoch": 0.39, - "learning_rate": 1.044e-05, - "loss": 4.1883, + "epoch": 0.15, + "learning_rate": 1.032e-05, + "loss": 4.2434, "step": 176 }, { - "epoch": 0.4, - "learning_rate": 1.05e-05, - "loss": 4.1563, + "epoch": 0.15, + "learning_rate": 1.0379999999999999e-05, + "loss": 4.3755, "step": 177 }, { - "epoch": 0.4, - "learning_rate": 1.0559999999999999e-05, - "loss": 4.2408, + "epoch": 0.15, + "learning_rate": 1.044e-05, + "loss": 4.1772, "step": 178 }, { - "epoch": 0.4, - "learning_rate": 1.062e-05, - "loss": 4.3123, + "epoch": 0.15, + "learning_rate": 1.05e-05, + "loss": 4.2407, "step": 179 }, { - "epoch": 0.4, - "learning_rate": 1.068e-05, - "loss": 4.301, + "epoch": 0.15, + "learning_rate": 1.0559999999999999e-05, + "loss": 4.3553, "step": 180 }, { - "epoch": 0.41, - "learning_rate": 1.074e-05, - "loss": 4.2258, + "epoch": 0.15, + "learning_rate": 1.062e-05, + "loss": 4.327, "step": 181 }, { - "epoch": 0.41, - "learning_rate": 1.08e-05, - "loss": 4.2896, + "epoch": 0.15, + "learning_rate": 1.068e-05, + "loss": 4.3378, "step": 182 }, { - "epoch": 0.41, - "learning_rate": 1.086e-05, - "loss": 4.2775, + "epoch": 0.15, + "learning_rate": 1.074e-05, + "loss": 4.2012, "step": 183 }, { - "epoch": 0.41, - "learning_rate": 1.092e-05, - "loss": 4.2849, + "epoch": 0.15, + "learning_rate": 1.08e-05, + "loss": 4.3031, "step": 184 }, { - "epoch": 0.41, - "learning_rate": 1.098e-05, - "loss": 4.2654, + "epoch": 0.16, + "learning_rate": 1.086e-05, + "loss": 4.056, "step": 185 }, { - "epoch": 0.42, - "learning_rate": 1.104e-05, - "loss": 4.128, + "epoch": 0.16, + "learning_rate": 1.092e-05, + "loss": 4.2039, "step": 186 }, { - "epoch": 0.42, - "learning_rate": 1.11e-05, - "loss": 4.1517, + "epoch": 0.16, + "learning_rate": 1.098e-05, + "loss": 4.5027, "step": 187 }, { - "epoch": 0.42, - "learning_rate": 1.116e-05, - "loss": 4.1204, + "epoch": 0.16, + "learning_rate": 1.104e-05, + "loss": 4.282, "step": 188 }, { - "epoch": 0.42, - "learning_rate": 1.1220000000000001e-05, - "loss": 4.2358, + "epoch": 0.16, + "learning_rate": 1.11e-05, + "loss": 4.422, "step": 189 }, { - "epoch": 0.43, - "learning_rate": 1.128e-05, - "loss": 4.3392, + "epoch": 0.16, + "learning_rate": 1.116e-05, + "loss": 4.0707, "step": 190 }, { - "epoch": 0.43, - "learning_rate": 1.134e-05, - "loss": 4.254, + "epoch": 0.16, + "learning_rate": 1.1220000000000001e-05, + "loss": 4.3089, "step": 191 }, { - "epoch": 0.43, - "learning_rate": 1.1400000000000001e-05, - "loss": 4.2131, + "epoch": 0.16, + "learning_rate": 1.128e-05, + "loss": 4.5055, "step": 192 }, { - "epoch": 0.43, - "learning_rate": 1.146e-05, - "loss": 4.2087, + "epoch": 0.16, + "learning_rate": 1.134e-05, + "loss": 4.5268, "step": 193 }, { - "epoch": 0.43, - "learning_rate": 1.152e-05, - "loss": 4.3236, + "epoch": 0.16, + "learning_rate": 1.1400000000000001e-05, + "loss": 4.2839, "step": 194 }, { - "epoch": 0.44, - "learning_rate": 1.1580000000000001e-05, - "loss": 4.4341, + "epoch": 0.16, + "learning_rate": 1.146e-05, + "loss": 4.4614, "step": 195 }, { - "epoch": 0.44, - "learning_rate": 1.164e-05, - "loss": 4.3805, + "epoch": 0.16, + "learning_rate": 1.152e-05, + "loss": 4.3277, "step": 196 }, { - "epoch": 0.44, - "learning_rate": 1.1700000000000001e-05, - "loss": 4.3194, + "epoch": 0.17, + "learning_rate": 1.1580000000000001e-05, + "loss": 4.457, "step": 197 }, { - "epoch": 0.44, - "learning_rate": 1.1760000000000001e-05, - "loss": 4.61, + "epoch": 0.17, + "learning_rate": 1.164e-05, + "loss": 4.5566, "step": 198 }, { - "epoch": 0.45, - "learning_rate": 1.182e-05, - "loss": 4.5467, + "epoch": 0.17, + "learning_rate": 1.1700000000000001e-05, + "loss": 4.5523, "step": 199 }, { - "epoch": 0.45, - "learning_rate": 1.1880000000000001e-05, - "loss": 4.4941, + "epoch": 0.17, + "learning_rate": 1.1760000000000001e-05, + "loss": 4.3267, "step": 200 }, { - "epoch": 0.45, - "learning_rate": 1.1940000000000001e-05, - "loss": 4.2598, + "epoch": 0.17, + "learning_rate": 1.182e-05, + "loss": 4.3091, "step": 201 }, { - "epoch": 0.45, - "learning_rate": 1.2e-05, - "loss": 4.1943, + "epoch": 0.17, + "learning_rate": 1.1880000000000001e-05, + "loss": 4.1833, "step": 202 }, { - "epoch": 0.46, - "learning_rate": 1.2060000000000001e-05, - "loss": 4.2136, + "epoch": 0.17, + "learning_rate": 1.1940000000000001e-05, + "loss": 4.2306, "step": 203 }, { - "epoch": 0.46, - "learning_rate": 1.2120000000000001e-05, - "loss": 4.209, + "epoch": 0.17, + "learning_rate": 1.2e-05, + "loss": 4.1851, "step": 204 }, { - "epoch": 0.46, - "learning_rate": 1.2180000000000002e-05, - "loss": 4.2688, + "epoch": 0.17, + "learning_rate": 1.2060000000000001e-05, + "loss": 4.1231, "step": 205 }, { - "epoch": 0.46, - "learning_rate": 1.224e-05, - "loss": 4.2527, + "epoch": 0.17, + "learning_rate": 1.2120000000000001e-05, + "loss": 4.1966, "step": 206 }, { - "epoch": 0.46, - "learning_rate": 1.2299999999999999e-05, - "loss": 4.1229, + "epoch": 0.17, + "learning_rate": 1.2180000000000002e-05, + "loss": 4.2891, "step": 207 }, { - "epoch": 0.47, - "learning_rate": 1.236e-05, - "loss": 4.2149, + "epoch": 0.17, + "learning_rate": 1.224e-05, + "loss": 4.4791, "step": 208 }, { - "epoch": 0.47, - "learning_rate": 1.242e-05, - "loss": 4.2757, + "epoch": 0.18, + "learning_rate": 1.2299999999999999e-05, + "loss": 4.3371, "step": 209 }, { - "epoch": 0.47, - "learning_rate": 1.2479999999999999e-05, - "loss": 4.2353, + "epoch": 0.18, + "learning_rate": 1.236e-05, + "loss": 4.3748, "step": 210 }, { - "epoch": 0.47, - "learning_rate": 1.254e-05, - "loss": 4.1108, + "epoch": 0.18, + "learning_rate": 1.242e-05, + "loss": 4.217, "step": 211 }, { - "epoch": 0.48, - "learning_rate": 1.26e-05, - "loss": 4.16, + "epoch": 0.18, + "learning_rate": 1.2479999999999999e-05, + "loss": 4.2961, "step": 212 }, { - "epoch": 0.48, - "learning_rate": 1.2659999999999999e-05, - "loss": 4.0885, + "epoch": 0.18, + "learning_rate": 1.254e-05, + "loss": 4.2113, "step": 213 }, { - "epoch": 0.48, - "learning_rate": 1.272e-05, - "loss": 4.1628, + "epoch": 0.18, + "learning_rate": 1.26e-05, + "loss": 4.2395, "step": 214 }, { - "epoch": 0.48, - "learning_rate": 1.278e-05, - "loss": 4.209, + "epoch": 0.18, + "learning_rate": 1.2659999999999999e-05, + "loss": 4.3181, "step": 215 }, { - "epoch": 0.48, - "learning_rate": 1.284e-05, - "loss": 4.1769, + "epoch": 0.18, + "learning_rate": 1.272e-05, + "loss": 4.2523, "step": 216 }, { - "epoch": 0.49, - "learning_rate": 1.29e-05, - "loss": 4.2236, + "epoch": 0.18, + "learning_rate": 1.278e-05, + "loss": 4.3477, "step": 217 }, { - "epoch": 0.49, - "learning_rate": 1.296e-05, - "loss": 4.175, + "epoch": 0.18, + "learning_rate": 1.284e-05, + "loss": 4.2062, "step": 218 }, { - "epoch": 0.49, - "learning_rate": 1.302e-05, - "loss": 4.1064, + "epoch": 0.18, + "learning_rate": 1.29e-05, + "loss": 3.9255, "step": 219 }, { - "epoch": 0.49, - "learning_rate": 1.308e-05, - "loss": 4.2232, + "epoch": 0.18, + "learning_rate": 1.296e-05, + "loss": 4.2456, "step": 220 }, { - "epoch": 0.5, - "learning_rate": 1.314e-05, - "loss": 4.1993, + "epoch": 0.19, + "learning_rate": 1.302e-05, + "loss": 4.212, "step": 221 }, { - "epoch": 0.5, - "learning_rate": 1.32e-05, - "loss": 4.1825, + "epoch": 0.19, + "learning_rate": 1.308e-05, + "loss": 4.5293, "step": 222 }, { - "epoch": 0.5, - "learning_rate": 1.326e-05, - "loss": 4.2186, + "epoch": 0.19, + "learning_rate": 1.314e-05, + "loss": 4.2978, "step": 223 }, { - "epoch": 0.5, - "learning_rate": 1.3320000000000001e-05, - "loss": 4.1414, + "epoch": 0.19, + "learning_rate": 1.32e-05, + "loss": 4.3409, "step": 224 }, { - "epoch": 0.5, - "learning_rate": 1.338e-05, - "loss": 4.299, + "epoch": 0.19, + "learning_rate": 1.326e-05, + "loss": 4.1193, "step": 225 }, { - "epoch": 0.51, - "learning_rate": 1.344e-05, - "loss": 4.1934, + "epoch": 0.19, + "learning_rate": 1.3320000000000001e-05, + "loss": 4.0577, "step": 226 }, { - "epoch": 0.51, - "learning_rate": 1.3500000000000001e-05, - "loss": 4.3162, + "epoch": 0.19, + "learning_rate": 1.338e-05, + "loss": 4.2107, "step": 227 }, { - "epoch": 0.51, - "learning_rate": 1.356e-05, - "loss": 4.262, + "epoch": 0.19, + "learning_rate": 1.344e-05, + "loss": 4.2579, "step": 228 }, { - "epoch": 0.51, - "learning_rate": 1.362e-05, - "loss": 4.1437, + "epoch": 0.19, + "learning_rate": 1.3500000000000001e-05, + "loss": 4.1397, "step": 229 }, { - "epoch": 0.52, - "learning_rate": 1.3680000000000001e-05, - "loss": 4.2367, + "epoch": 0.19, + "learning_rate": 1.356e-05, + "loss": 4.3277, "step": 230 }, { - "epoch": 0.52, - "learning_rate": 1.374e-05, - "loss": 4.2988, + "epoch": 0.19, + "learning_rate": 1.362e-05, + "loss": 4.3096, "step": 231 }, { - "epoch": 0.52, - "learning_rate": 1.3800000000000002e-05, - "loss": 4.0968, + "epoch": 0.2, + "learning_rate": 1.3680000000000001e-05, + "loss": 4.261, "step": 232 }, { - "epoch": 0.52, - "learning_rate": 1.3860000000000001e-05, - "loss": 4.1227, + "epoch": 0.2, + "learning_rate": 1.374e-05, + "loss": 4.2361, "step": 233 }, { - "epoch": 0.52, - "learning_rate": 1.392e-05, - "loss": 4.2133, + "epoch": 0.2, + "learning_rate": 1.3800000000000002e-05, + "loss": 4.1582, "step": 234 }, { - "epoch": 0.53, - "learning_rate": 1.3980000000000002e-05, - "loss": 4.2843, + "epoch": 0.2, + "learning_rate": 1.3860000000000001e-05, + "loss": 4.2623, "step": 235 }, { - "epoch": 0.53, - "learning_rate": 1.4040000000000001e-05, - "loss": 4.2125, + "epoch": 0.2, + "learning_rate": 1.392e-05, + "loss": 4.4154, "step": 236 }, { - "epoch": 0.53, - "learning_rate": 1.4099999999999999e-05, - "loss": 4.2384, + "epoch": 0.2, + "learning_rate": 1.3980000000000002e-05, + "loss": 4.1272, "step": 237 }, { - "epoch": 0.53, - "learning_rate": 1.416e-05, - "loss": 4.1947, + "epoch": 0.2, + "learning_rate": 1.4040000000000001e-05, + "loss": 4.2669, "step": 238 }, { - "epoch": 0.54, - "learning_rate": 1.422e-05, - "loss": 4.1355, + "epoch": 0.2, + "learning_rate": 1.4099999999999999e-05, + "loss": 4.245, "step": 239 }, { - "epoch": 0.54, - "learning_rate": 1.428e-05, - "loss": 4.2412, + "epoch": 0.2, + "learning_rate": 1.416e-05, + "loss": 4.3029, "step": 240 }, { - "epoch": 0.54, - "learning_rate": 1.434e-05, - "loss": 4.2237, + "epoch": 0.2, + "learning_rate": 1.422e-05, + "loss": 4.3906, "step": 241 }, { - "epoch": 0.54, - "learning_rate": 1.44e-05, - "loss": 4.2662, + "epoch": 0.2, + "learning_rate": 1.428e-05, + "loss": 4.2033, "step": 242 }, { - "epoch": 0.54, - "learning_rate": 1.446e-05, - "loss": 4.4641, + "epoch": 0.2, + "learning_rate": 1.434e-05, + "loss": 4.4401, "step": 243 }, { - "epoch": 0.55, - "learning_rate": 1.452e-05, - "loss": 4.2923, + "epoch": 0.21, + "learning_rate": 1.44e-05, + "loss": 4.2719, "step": 244 }, { - "epoch": 0.55, - "learning_rate": 1.458e-05, - "loss": 4.2855, + "epoch": 0.21, + "learning_rate": 1.446e-05, + "loss": 4.2957, "step": 245 }, { - "epoch": 0.55, - "learning_rate": 1.464e-05, - "loss": 4.1766, + "epoch": 0.21, + "learning_rate": 1.452e-05, + "loss": 4.1976, "step": 246 }, { - "epoch": 0.55, - "learning_rate": 1.47e-05, - "loss": 4.1232, + "epoch": 0.21, + "learning_rate": 1.458e-05, + "loss": 4.773, "step": 247 }, { - "epoch": 0.56, - "learning_rate": 1.4760000000000001e-05, - "loss": 4.4921, + "epoch": 0.21, + "learning_rate": 1.464e-05, + "loss": 4.402, "step": 248 }, { - "epoch": 0.56, - "learning_rate": 1.482e-05, - "loss": 4.5888, + "epoch": 0.21, + "learning_rate": 1.47e-05, + "loss": 4.332, "step": 249 }, { - "epoch": 0.56, - "learning_rate": 1.488e-05, - "loss": 4.582, + "epoch": 0.21, + "learning_rate": 1.4760000000000001e-05, + "loss": 4.4351, "step": 250 }, { - "epoch": 0.56, - "learning_rate": 1.4940000000000001e-05, - "loss": 4.1951, + "epoch": 0.21, + "learning_rate": 1.482e-05, + "loss": 4.3525, "step": 251 }, { - "epoch": 0.57, - "learning_rate": 1.5e-05, - "loss": 4.2269, + "epoch": 0.21, + "learning_rate": 1.488e-05, + "loss": 4.0294, "step": 252 }, { - "epoch": 0.57, - "learning_rate": 1.506e-05, - "loss": 4.2679, + "epoch": 0.21, + "learning_rate": 1.4940000000000001e-05, + "loss": 4.3153, "step": 253 }, { - "epoch": 0.57, - "learning_rate": 1.5120000000000001e-05, - "loss": 4.1101, + "epoch": 0.21, + "learning_rate": 1.5e-05, + "loss": 4.0302, "step": 254 }, { - "epoch": 0.57, - "learning_rate": 1.518e-05, - "loss": 4.1986, + "epoch": 0.21, + "learning_rate": 1.506e-05, + "loss": 4.0512, "step": 255 }, { - "epoch": 0.57, - "learning_rate": 1.524e-05, - "loss": 4.179, + "epoch": 0.22, + "learning_rate": 1.5120000000000001e-05, + "loss": 4.2336, "step": 256 }, { - "epoch": 0.58, - "learning_rate": 1.53e-05, - "loss": 4.1623, + "epoch": 0.22, + "learning_rate": 1.518e-05, + "loss": 4.0394, "step": 257 }, { - "epoch": 0.58, - "learning_rate": 1.5360000000000002e-05, - "loss": 4.1636, + "epoch": 0.22, + "learning_rate": 1.524e-05, + "loss": 4.4877, "step": 258 }, { - "epoch": 0.58, - "learning_rate": 1.542e-05, - "loss": 4.1744, + "epoch": 0.22, + "learning_rate": 1.53e-05, + "loss": 4.269, "step": 259 }, { - "epoch": 0.58, - "learning_rate": 1.548e-05, - "loss": 4.1098, + "epoch": 0.22, + "learning_rate": 1.5360000000000002e-05, + "loss": 4.2188, "step": 260 }, { - "epoch": 0.59, - "learning_rate": 1.554e-05, - "loss": 4.2371, + "epoch": 0.22, + "learning_rate": 1.542e-05, + "loss": 4.2159, "step": 261 }, { - "epoch": 0.59, - "learning_rate": 1.56e-05, - "loss": 4.1562, + "epoch": 0.22, + "learning_rate": 1.548e-05, + "loss": 4.19, "step": 262 }, { - "epoch": 0.59, - "learning_rate": 1.5660000000000003e-05, - "loss": 4.294, + "epoch": 0.22, + "learning_rate": 1.554e-05, + "loss": 4.3155, "step": 263 }, { - "epoch": 0.59, - "learning_rate": 1.5720000000000002e-05, - "loss": 4.1616, + "epoch": 0.22, + "learning_rate": 1.56e-05, + "loss": 4.3023, "step": 264 }, { - "epoch": 0.59, - "learning_rate": 1.578e-05, - "loss": 4.2108, + "epoch": 0.22, + "learning_rate": 1.5660000000000003e-05, + "loss": 4.2151, "step": 265 }, { - "epoch": 0.6, - "learning_rate": 1.584e-05, - "loss": 4.1689, + "epoch": 0.22, + "learning_rate": 1.5720000000000002e-05, + "loss": 4.2791, "step": 266 }, { - "epoch": 0.6, - "learning_rate": 1.59e-05, - "loss": 4.2019, + "epoch": 0.22, + "learning_rate": 1.578e-05, + "loss": 4.1519, "step": 267 }, { - "epoch": 0.6, - "learning_rate": 1.596e-05, - "loss": 4.1509, + "epoch": 0.23, + "learning_rate": 1.584e-05, + "loss": 4.19, "step": 268 }, { - "epoch": 0.6, - "learning_rate": 1.6020000000000002e-05, - "loss": 4.2425, + "epoch": 0.23, + "learning_rate": 1.59e-05, + "loss": 4.188, "step": 269 }, { - "epoch": 0.61, - "learning_rate": 1.6080000000000002e-05, - "loss": 4.1185, + "epoch": 0.23, + "learning_rate": 1.596e-05, + "loss": 4.1215, "step": 270 }, { - "epoch": 0.61, - "learning_rate": 1.614e-05, - "loss": 4.0561, + "epoch": 0.23, + "learning_rate": 1.6020000000000002e-05, + "loss": 4.4414, "step": 271 }, { - "epoch": 0.61, - "learning_rate": 1.62e-05, - "loss": 4.2334, + "epoch": 0.23, + "learning_rate": 1.6080000000000002e-05, + "loss": 4.0973, "step": 272 }, { - "epoch": 0.61, - "learning_rate": 1.626e-05, - "loss": 4.03, + "epoch": 0.23, + "learning_rate": 1.614e-05, + "loss": 4.1955, "step": 273 }, { - "epoch": 0.61, - "learning_rate": 1.6320000000000003e-05, - "loss": 4.1374, + "epoch": 0.23, + "learning_rate": 1.62e-05, + "loss": 4.249, "step": 274 }, { - "epoch": 0.62, - "learning_rate": 1.6380000000000002e-05, - "loss": 4.2188, + "epoch": 0.23, + "learning_rate": 1.626e-05, + "loss": 4.2878, "step": 275 }, { - "epoch": 0.62, - "learning_rate": 1.6440000000000002e-05, - "loss": 4.1667, + "epoch": 0.23, + "learning_rate": 1.6320000000000003e-05, + "loss": 4.0312, "step": 276 }, { - "epoch": 0.62, - "learning_rate": 1.65e-05, - "loss": 4.1154, + "epoch": 0.23, + "learning_rate": 1.6380000000000002e-05, + "loss": 4.0002, "step": 277 }, { - "epoch": 0.62, - "learning_rate": 1.656e-05, - "loss": 4.1921, + "epoch": 0.23, + "learning_rate": 1.6440000000000002e-05, + "loss": 4.1866, "step": 278 }, { - "epoch": 0.63, - "learning_rate": 1.6620000000000004e-05, - "loss": 4.1726, + "epoch": 0.23, + "learning_rate": 1.65e-05, + "loss": 4.2889, "step": 279 }, { - "epoch": 0.63, - "learning_rate": 1.6680000000000003e-05, - "loss": 4.3145, + "epoch": 0.24, + "learning_rate": 1.656e-05, + "loss": 4.1737, "step": 280 }, { - "epoch": 0.63, - "learning_rate": 1.6740000000000002e-05, - "loss": 4.2087, + "epoch": 0.24, + "learning_rate": 1.6620000000000004e-05, + "loss": 4.1932, "step": 281 }, { - "epoch": 0.63, - "learning_rate": 1.6800000000000002e-05, - "loss": 4.0653, + "epoch": 0.24, + "learning_rate": 1.6680000000000003e-05, + "loss": 4.307, "step": 282 }, { - "epoch": 0.63, - "learning_rate": 1.686e-05, - "loss": 4.0902, + "epoch": 0.24, + "learning_rate": 1.6740000000000002e-05, + "loss": 4.3193, "step": 283 }, { - "epoch": 0.64, - "learning_rate": 1.6919999999999997e-05, - "loss": 4.1814, + "epoch": 0.24, + "learning_rate": 1.6800000000000002e-05, + "loss": 4.1298, "step": 284 }, { - "epoch": 0.64, - "learning_rate": 1.698e-05, - "loss": 4.2828, + "epoch": 0.24, + "learning_rate": 1.686e-05, + "loss": 4.3486, "step": 285 }, { - "epoch": 0.64, - "learning_rate": 1.704e-05, - "loss": 4.1693, + "epoch": 0.24, + "learning_rate": 1.6919999999999997e-05, + "loss": 4.1724, "step": 286 }, { - "epoch": 0.64, - "learning_rate": 1.71e-05, - "loss": 4.2818, + "epoch": 0.24, + "learning_rate": 1.698e-05, + "loss": 4.115, "step": 287 }, { - "epoch": 0.65, - "learning_rate": 1.716e-05, - "loss": 4.2331, + "epoch": 0.24, + "learning_rate": 1.704e-05, + "loss": 4.1832, "step": 288 }, { - "epoch": 0.65, - "learning_rate": 1.7219999999999998e-05, - "loss": 4.1357, + "epoch": 0.24, + "learning_rate": 1.71e-05, + "loss": 4.4367, "step": 289 }, { - "epoch": 0.65, - "learning_rate": 1.728e-05, - "loss": 4.1985, + "epoch": 0.24, + "learning_rate": 1.716e-05, + "loss": 4.3428, "step": 290 }, { - "epoch": 0.65, - "learning_rate": 1.734e-05, - "loss": 4.4431, + "epoch": 0.24, + "learning_rate": 1.7219999999999998e-05, + "loss": 4.3138, "step": 291 }, { - "epoch": 0.65, - "learning_rate": 1.74e-05, - "loss": 4.3144, + "epoch": 0.25, + "learning_rate": 1.728e-05, + "loss": 4.566, "step": 292 }, { - "epoch": 0.66, - "learning_rate": 1.746e-05, - "loss": 4.3839, + "epoch": 0.25, + "learning_rate": 1.734e-05, + "loss": 4.1059, "step": 293 }, { - "epoch": 0.66, - "learning_rate": 1.7519999999999998e-05, - "loss": 4.3518, + "epoch": 0.25, + "learning_rate": 1.74e-05, + "loss": 4.4551, "step": 294 }, { - "epoch": 0.66, - "learning_rate": 1.758e-05, - "loss": 4.3501, + "epoch": 0.25, + "learning_rate": 1.746e-05, + "loss": 4.3844, "step": 295 }, { - "epoch": 0.66, - "learning_rate": 1.764e-05, - "loss": 4.3526, + "epoch": 0.25, + "learning_rate": 1.7519999999999998e-05, + "loss": 4.9761, "step": 296 }, { - "epoch": 0.67, - "learning_rate": 1.77e-05, - "loss": 4.2403, + "epoch": 0.25, + "learning_rate": 1.758e-05, + "loss": 4.2972, "step": 297 }, { - "epoch": 0.67, - "learning_rate": 1.776e-05, - "loss": 4.5569, + "epoch": 0.25, + "learning_rate": 1.764e-05, + "loss": 4.8831, "step": 298 }, { - "epoch": 0.67, - "learning_rate": 1.782e-05, - "loss": 4.3044, + "epoch": 0.25, + "learning_rate": 1.77e-05, + "loss": 4.5865, "step": 299 }, { - "epoch": 0.67, - "learning_rate": 1.7879999999999998e-05, - "loss": 4.7419, + "epoch": 0.25, + "learning_rate": 1.776e-05, + "loss": 4.7354, "step": 300 }, { - "epoch": 0.67, - "learning_rate": 1.794e-05, - "loss": 4.2255, + "epoch": 0.25, + "learning_rate": 1.782e-05, + "loss": 4.0228, "step": 301 }, { - "epoch": 0.68, - "learning_rate": 1.8e-05, - "loss": 4.1911, + "epoch": 0.25, + "learning_rate": 1.7879999999999998e-05, + "loss": 4.1383, "step": 302 }, { - "epoch": 0.68, - "learning_rate": 1.806e-05, - "loss": 4.1913, + "epoch": 0.25, + "learning_rate": 1.794e-05, + "loss": 4.2188, "step": 303 }, { - "epoch": 0.68, - "learning_rate": 1.812e-05, - "loss": 4.2035, + "epoch": 0.26, + "learning_rate": 1.8e-05, + "loss": 3.8823, "step": 304 }, { - "epoch": 0.68, - "learning_rate": 1.818e-05, - "loss": 4.1659, + "epoch": 0.26, + "learning_rate": 1.806e-05, + "loss": 4.0361, "step": 305 }, { - "epoch": 0.69, - "learning_rate": 1.824e-05, - "loss": 4.1522, + "epoch": 0.26, + "learning_rate": 1.812e-05, + "loss": 4.0446, "step": 306 }, { - "epoch": 0.69, - "learning_rate": 1.83e-05, - "loss": 4.1422, + "epoch": 0.26, + "learning_rate": 1.818e-05, + "loss": 4.2072, "step": 307 }, { - "epoch": 0.69, - "learning_rate": 1.836e-05, - "loss": 4.148, + "epoch": 0.26, + "learning_rate": 1.824e-05, + "loss": 3.9454, "step": 308 }, { - "epoch": 0.69, - "learning_rate": 1.842e-05, - "loss": 4.1458, + "epoch": 0.26, + "learning_rate": 1.83e-05, + "loss": 3.9268, "step": 309 }, { - "epoch": 0.7, - "learning_rate": 1.848e-05, - "loss": 4.2421, + "epoch": 0.26, + "learning_rate": 1.836e-05, + "loss": 4.1389, "step": 310 }, { - "epoch": 0.7, - "learning_rate": 1.854e-05, - "loss": 4.0367, + "epoch": 0.26, + "learning_rate": 1.842e-05, + "loss": 4.058, "step": 311 }, { - "epoch": 0.7, - "learning_rate": 1.86e-05, - "loss": 4.2137, + "epoch": 0.26, + "learning_rate": 1.848e-05, + "loss": 4.0705, "step": 312 }, { - "epoch": 0.7, - "learning_rate": 1.866e-05, - "loss": 4.2195, + "epoch": 0.26, + "learning_rate": 1.854e-05, + "loss": 4.0209, "step": 313 }, { - "epoch": 0.7, - "learning_rate": 1.872e-05, - "loss": 4.1313, + "epoch": 0.26, + "learning_rate": 1.86e-05, + "loss": 4.1257, "step": 314 }, { - "epoch": 0.71, - "learning_rate": 1.878e-05, - "loss": 4.165, + "epoch": 0.26, + "learning_rate": 1.866e-05, + "loss": 4.0073, "step": 315 }, { - "epoch": 0.71, - "learning_rate": 1.884e-05, - "loss": 4.1387, + "epoch": 0.27, + "learning_rate": 1.872e-05, + "loss": 4.3839, "step": 316 }, { - "epoch": 0.71, - "learning_rate": 1.8900000000000002e-05, - "loss": 4.1316, + "epoch": 0.27, + "learning_rate": 1.878e-05, + "loss": 4.3243, "step": 317 }, { - "epoch": 0.71, - "learning_rate": 1.896e-05, - "loss": 4.164, + "epoch": 0.27, + "learning_rate": 1.884e-05, + "loss": 4.2505, "step": 318 }, { - "epoch": 0.72, - "learning_rate": 1.902e-05, - "loss": 4.1583, + "epoch": 0.27, + "learning_rate": 1.8900000000000002e-05, + "loss": 4.0626, "step": 319 }, { - "epoch": 0.72, - "learning_rate": 1.908e-05, - "loss": 4.2331, + "epoch": 0.27, + "learning_rate": 1.896e-05, + "loss": 4.2428, "step": 320 }, { - "epoch": 0.72, - "learning_rate": 1.914e-05, - "loss": 4.1241, + "epoch": 0.27, + "learning_rate": 1.902e-05, + "loss": 4.0947, "step": 321 }, { - "epoch": 0.72, - "learning_rate": 1.9200000000000003e-05, - "loss": 3.9994, + "epoch": 0.27, + "learning_rate": 1.908e-05, + "loss": 4.1172, "step": 322 }, { - "epoch": 0.72, - "learning_rate": 1.9260000000000002e-05, - "loss": 4.1963, + "epoch": 0.27, + "learning_rate": 1.914e-05, + "loss": 4.048, "step": 323 }, { - "epoch": 0.73, - "learning_rate": 1.932e-05, - "loss": 4.05, + "epoch": 0.27, + "learning_rate": 1.9200000000000003e-05, + "loss": 4.27, "step": 324 }, { - "epoch": 0.73, - "learning_rate": 1.938e-05, - "loss": 4.2003, + "epoch": 0.27, + "learning_rate": 1.9260000000000002e-05, + "loss": 4.1968, "step": 325 }, { - "epoch": 0.73, - "learning_rate": 1.944e-05, - "loss": 4.1707, + "epoch": 0.27, + "learning_rate": 1.932e-05, + "loss": 4.3657, "step": 326 }, { - "epoch": 0.73, - "learning_rate": 1.95e-05, - "loss": 4.1238, + "epoch": 0.27, + "learning_rate": 1.938e-05, + "loss": 4.3547, "step": 327 }, { - "epoch": 0.74, - "learning_rate": 1.9560000000000002e-05, - "loss": 4.0829, + "epoch": 0.28, + "learning_rate": 1.944e-05, + "loss": 4.2394, "step": 328 }, { - "epoch": 0.74, - "learning_rate": 1.9620000000000002e-05, - "loss": 4.1401, + "epoch": 0.28, + "learning_rate": 1.95e-05, + "loss": 4.127, "step": 329 }, { - "epoch": 0.74, - "learning_rate": 1.968e-05, - "loss": 4.1984, + "epoch": 0.28, + "learning_rate": 1.9560000000000002e-05, + "loss": 4.3617, "step": 330 }, { - "epoch": 0.74, - "learning_rate": 1.974e-05, - "loss": 4.2043, + "epoch": 0.28, + "learning_rate": 1.9620000000000002e-05, + "loss": 4.0746, "step": 331 }, { - "epoch": 0.74, - "learning_rate": 1.98e-05, - "loss": 4.0911, + "epoch": 0.28, + "learning_rate": 1.968e-05, + "loss": 4.2261, "step": 332 }, { - "epoch": 0.75, - "learning_rate": 1.9860000000000003e-05, - "loss": 4.2525, + "epoch": 0.28, + "learning_rate": 1.974e-05, + "loss": 4.2513, "step": 333 }, { - "epoch": 0.75, - "learning_rate": 1.9920000000000002e-05, - "loss": 4.1515, + "epoch": 0.28, + "learning_rate": 1.98e-05, + "loss": 4.029, "step": 334 }, { - "epoch": 0.75, - "learning_rate": 1.9980000000000002e-05, - "loss": 4.3075, + "epoch": 0.28, + "learning_rate": 1.9860000000000003e-05, + "loss": 4.2843, "step": 335 }, { - "epoch": 0.75, - "learning_rate": 2.004e-05, - "loss": 4.1172, + "epoch": 0.28, + "learning_rate": 1.9920000000000002e-05, + "loss": 4.2978, "step": 336 }, { - "epoch": 0.76, - "learning_rate": 2.01e-05, - "loss": 4.1193, + "epoch": 0.28, + "learning_rate": 1.9980000000000002e-05, + "loss": 4.2217, "step": 337 }, { - "epoch": 0.76, - "learning_rate": 2.016e-05, - "loss": 4.2335, + "epoch": 0.28, + "learning_rate": 2.004e-05, + "loss": 4.4017, "step": 338 }, { - "epoch": 0.76, - "learning_rate": 2.0220000000000003e-05, - "loss": 4.2131, + "epoch": 0.28, + "learning_rate": 2.01e-05, + "loss": 4.3868, "step": 339 }, { - "epoch": 0.76, - "learning_rate": 2.0280000000000002e-05, - "loss": 4.264, + "epoch": 0.29, + "learning_rate": 2.016e-05, + "loss": 4.2188, "step": 340 }, { - "epoch": 0.76, - "learning_rate": 2.0340000000000002e-05, - "loss": 4.1833, + "epoch": 0.29, + "learning_rate": 2.0220000000000003e-05, + "loss": 4.2795, "step": 341 }, { - "epoch": 0.77, - "learning_rate": 2.04e-05, - "loss": 4.3401, + "epoch": 0.29, + "learning_rate": 2.0280000000000002e-05, + "loss": 4.3846, "step": 342 }, { - "epoch": 0.77, - "learning_rate": 2.046e-05, - "loss": 4.2661, + "epoch": 0.29, + "learning_rate": 2.0340000000000002e-05, + "loss": 4.3164, "step": 343 }, { - "epoch": 0.77, - "learning_rate": 2.0520000000000003e-05, - "loss": 4.3547, + "epoch": 0.29, + "learning_rate": 2.04e-05, + "loss": 4.4459, "step": 344 }, { - "epoch": 0.77, - "learning_rate": 2.0580000000000003e-05, - "loss": 4.096, + "epoch": 0.29, + "learning_rate": 2.046e-05, + "loss": 4.256, "step": 345 }, { - "epoch": 0.78, - "learning_rate": 2.064e-05, - "loss": 4.339, + "epoch": 0.29, + "learning_rate": 2.0520000000000003e-05, + "loss": 4.2019, "step": 346 }, { - "epoch": 0.78, - "learning_rate": 2.07e-05, - "loss": 4.3258, + "epoch": 0.29, + "learning_rate": 2.0580000000000003e-05, + "loss": 4.4257, "step": 347 }, { - "epoch": 0.78, - "learning_rate": 2.0759999999999998e-05, - "loss": 4.2641, + "epoch": 0.29, + "learning_rate": 2.064e-05, + "loss": 4.6603, "step": 348 }, { - "epoch": 0.78, - "learning_rate": 2.082e-05, - "loss": 4.4812, + "epoch": 0.29, + "learning_rate": 2.07e-05, + "loss": 4.857, "step": 349 }, { - "epoch": 0.78, - "learning_rate": 2.088e-05, - "loss": 4.4627, + "epoch": 0.29, + "learning_rate": 2.0759999999999998e-05, + "loss": 4.4458, "step": 350 }, { - "epoch": 0.79, - "learning_rate": 2.094e-05, - "loss": 4.2444, + "epoch": 0.3, + "learning_rate": 2.082e-05, + "loss": 4.4633, "step": 351 }, { - "epoch": 0.79, - "learning_rate": 2.1e-05, - "loss": 4.1637, + "epoch": 0.3, + "learning_rate": 2.088e-05, + "loss": 4.1266, "step": 352 }, { - "epoch": 0.79, - "learning_rate": 2.1059999999999998e-05, - "loss": 4.1012, + "epoch": 0.3, + "learning_rate": 2.094e-05, + "loss": 4.14, "step": 353 }, { - "epoch": 0.79, - "learning_rate": 2.1119999999999998e-05, - "loss": 3.9923, + "epoch": 0.3, + "learning_rate": 2.1e-05, + "loss": 4.3007, "step": 354 }, { - "epoch": 0.8, - "learning_rate": 2.118e-05, - "loss": 4.175, + "epoch": 0.3, + "learning_rate": 2.1059999999999998e-05, + "loss": 4.1424, "step": 355 }, { - "epoch": 0.8, - "learning_rate": 2.124e-05, - "loss": 4.2816, + "epoch": 0.3, + "learning_rate": 2.1119999999999998e-05, + "loss": 4.1509, "step": 356 }, { - "epoch": 0.8, - "learning_rate": 2.13e-05, - "loss": 4.1508, + "epoch": 0.3, + "learning_rate": 2.118e-05, + "loss": 4.2986, "step": 357 }, { - "epoch": 0.8, - "learning_rate": 2.136e-05, - "loss": 4.2011, + "epoch": 0.3, + "learning_rate": 2.124e-05, + "loss": 4.0543, "step": 358 }, { - "epoch": 0.8, - "learning_rate": 2.1419999999999998e-05, - "loss": 4.0786, + "epoch": 0.3, + "learning_rate": 2.13e-05, + "loss": 4.2081, "step": 359 }, { - "epoch": 0.81, - "learning_rate": 2.148e-05, - "loss": 4.1572, + "epoch": 0.3, + "learning_rate": 2.136e-05, + "loss": 4.3371, "step": 360 }, { - "epoch": 0.81, - "learning_rate": 2.154e-05, - "loss": 4.0844, + "epoch": 0.3, + "learning_rate": 2.1419999999999998e-05, + "loss": 4.2052, "step": 361 }, { - "epoch": 0.81, - "learning_rate": 2.16e-05, - "loss": 4.1476, + "epoch": 0.3, + "learning_rate": 2.148e-05, + "loss": 4.0907, "step": 362 }, { - "epoch": 0.81, - "learning_rate": 2.166e-05, - "loss": 4.0828, + "epoch": 0.31, + "learning_rate": 2.154e-05, + "loss": 4.126, "step": 363 }, { - "epoch": 0.82, - "learning_rate": 2.172e-05, - "loss": 4.1726, + "epoch": 0.31, + "learning_rate": 2.16e-05, + "loss": 4.2623, "step": 364 }, { - "epoch": 0.82, - "learning_rate": 2.178e-05, - "loss": 4.2892, + "epoch": 0.31, + "learning_rate": 2.166e-05, + "loss": 4.2171, "step": 365 }, { - "epoch": 0.82, - "learning_rate": 2.184e-05, - "loss": 4.0957, + "epoch": 0.31, + "learning_rate": 2.172e-05, + "loss": 4.1573, "step": 366 }, { - "epoch": 0.82, - "learning_rate": 2.19e-05, - "loss": 4.1822, + "epoch": 0.31, + "learning_rate": 2.178e-05, + "loss": 4.0573, "step": 367 }, { - "epoch": 0.83, - "learning_rate": 2.196e-05, - "loss": 4.1647, + "epoch": 0.31, + "learning_rate": 2.184e-05, + "loss": 4.4715, "step": 368 }, { - "epoch": 0.83, - "learning_rate": 2.202e-05, - "loss": 4.0817, + "epoch": 0.31, + "learning_rate": 2.19e-05, + "loss": 4.3253, "step": 369 }, { - "epoch": 0.83, - "learning_rate": 2.208e-05, - "loss": 4.0894, + "epoch": 0.31, + "learning_rate": 2.196e-05, + "loss": 4.2055, "step": 370 }, { - "epoch": 0.83, - "learning_rate": 2.214e-05, - "loss": 4.079, + "epoch": 0.31, + "learning_rate": 2.202e-05, + "loss": 4.1163, "step": 371 }, { - "epoch": 0.83, - "learning_rate": 2.22e-05, - "loss": 4.1652, + "epoch": 0.31, + "learning_rate": 2.208e-05, + "loss": 4.0746, "step": 372 }, { - "epoch": 0.84, - "learning_rate": 2.226e-05, - "loss": 4.1596, + "epoch": 0.31, + "learning_rate": 2.214e-05, + "loss": 4.0822, "step": 373 }, { - "epoch": 0.84, - "learning_rate": 2.232e-05, - "loss": 3.9787, + "epoch": 0.31, + "learning_rate": 2.22e-05, + "loss": 4.0934, "step": 374 }, { - "epoch": 0.84, - "learning_rate": 2.238e-05, - "loss": 4.1849, + "epoch": 0.32, + "learning_rate": 2.226e-05, + "loss": 4.1601, "step": 375 }, { - "epoch": 0.84, - "learning_rate": 2.2440000000000002e-05, - "loss": 4.0419, + "epoch": 0.32, + "learning_rate": 2.232e-05, + "loss": 4.2061, "step": 376 }, { - "epoch": 0.85, - "learning_rate": 2.25e-05, - "loss": 4.145, + "epoch": 0.32, + "learning_rate": 2.238e-05, + "loss": 4.136, "step": 377 }, { - "epoch": 0.85, - "learning_rate": 2.256e-05, - "loss": 4.1548, + "epoch": 0.32, + "learning_rate": 2.2440000000000002e-05, + "loss": 4.1212, "step": 378 }, { - "epoch": 0.85, - "learning_rate": 2.262e-05, - "loss": 4.0737, + "epoch": 0.32, + "learning_rate": 2.25e-05, + "loss": 4.091, "step": 379 }, { - "epoch": 0.85, - "learning_rate": 2.268e-05, - "loss": 4.096, + "epoch": 0.32, + "learning_rate": 2.256e-05, + "loss": 4.2768, "step": 380 }, { - "epoch": 0.85, - "learning_rate": 2.274e-05, - "loss": 4.1361, + "epoch": 0.32, + "learning_rate": 2.262e-05, + "loss": 4.0621, "step": 381 }, { - "epoch": 0.86, - "learning_rate": 2.2800000000000002e-05, - "loss": 4.2105, + "epoch": 0.32, + "learning_rate": 2.268e-05, + "loss": 4.2477, "step": 382 }, { - "epoch": 0.86, - "learning_rate": 2.286e-05, - "loss": 4.1431, + "epoch": 0.32, + "learning_rate": 2.274e-05, + "loss": 4.0139, "step": 383 }, { - "epoch": 0.86, - "learning_rate": 2.292e-05, - "loss": 4.0593, + "epoch": 0.32, + "learning_rate": 2.2800000000000002e-05, + "loss": 4.3174, "step": 384 }, { - "epoch": 0.86, - "learning_rate": 2.298e-05, - "loss": 4.16, + "epoch": 0.32, + "learning_rate": 2.286e-05, + "loss": 4.3421, "step": 385 }, { - "epoch": 0.87, - "learning_rate": 2.304e-05, - "loss": 4.0336, + "epoch": 0.32, + "learning_rate": 2.292e-05, + "loss": 4.0962, "step": 386 }, { - "epoch": 0.87, - "learning_rate": 2.3100000000000002e-05, - "loss": 4.2153, + "epoch": 0.33, + "learning_rate": 2.298e-05, + "loss": 4.322, "step": 387 }, { - "epoch": 0.87, - "learning_rate": 2.3160000000000002e-05, - "loss": 4.2426, + "epoch": 0.33, + "learning_rate": 2.304e-05, + "loss": 4.2927, "step": 388 }, { - "epoch": 0.87, - "learning_rate": 2.322e-05, - "loss": 4.1324, + "epoch": 0.33, + "learning_rate": 2.3100000000000002e-05, + "loss": 4.365, "step": 389 }, { - "epoch": 0.87, - "learning_rate": 2.328e-05, - "loss": 4.126, + "epoch": 0.33, + "learning_rate": 2.3160000000000002e-05, + "loss": 4.3296, "step": 390 }, { - "epoch": 0.88, - "learning_rate": 2.334e-05, - "loss": 4.2552, + "epoch": 0.33, + "learning_rate": 2.322e-05, + "loss": 4.3811, "step": 391 }, { - "epoch": 0.88, - "learning_rate": 2.3400000000000003e-05, - "loss": 4.0773, + "epoch": 0.33, + "learning_rate": 2.328e-05, + "loss": 4.2609, "step": 392 }, { - "epoch": 0.88, - "learning_rate": 2.3460000000000002e-05, - "loss": 4.0848, + "epoch": 0.33, + "learning_rate": 2.334e-05, + "loss": 4.2523, "step": 393 }, { - "epoch": 0.88, - "learning_rate": 2.3520000000000002e-05, - "loss": 4.1795, + "epoch": 0.33, + "learning_rate": 2.3400000000000003e-05, + "loss": 4.3928, "step": 394 }, { - "epoch": 0.89, - "learning_rate": 2.358e-05, - "loss": 4.3042, + "epoch": 0.33, + "learning_rate": 2.3460000000000002e-05, + "loss": 4.1325, "step": 395 }, { - "epoch": 0.89, - "learning_rate": 2.364e-05, - "loss": 4.2524, + "epoch": 0.33, + "learning_rate": 2.3520000000000002e-05, + "loss": 4.5287, "step": 396 }, { - "epoch": 0.89, - "learning_rate": 2.37e-05, - "loss": 4.4209, + "epoch": 0.33, + "learning_rate": 2.358e-05, + "loss": 4.4165, "step": 397 }, { - "epoch": 0.89, - "learning_rate": 2.3760000000000003e-05, - "loss": 4.3868, + "epoch": 0.33, + "learning_rate": 2.364e-05, + "loss": 4.3961, "step": 398 }, { - "epoch": 0.89, - "learning_rate": 2.3820000000000002e-05, - "loss": 4.5116, + "epoch": 0.34, + "learning_rate": 2.37e-05, + "loss": 4.6827, "step": 399 }, { - "epoch": 0.9, - "learning_rate": 2.3880000000000002e-05, - "loss": 4.4561, + "epoch": 0.34, + "learning_rate": 2.3760000000000003e-05, + "loss": 4.5686, "step": 400 }, { - "epoch": 0.9, - "learning_rate": 2.394e-05, - "loss": 4.1715, + "epoch": 0.34, + "learning_rate": 2.3820000000000002e-05, + "loss": 4.0445, "step": 401 }, { - "epoch": 0.9, - "learning_rate": 2.4e-05, - "loss": 4.018, + "epoch": 0.34, + "learning_rate": 2.3880000000000002e-05, + "loss": 4.1595, "step": 402 }, { - "epoch": 0.9, - "learning_rate": 2.4060000000000003e-05, - "loss": 4.0975, + "epoch": 0.34, + "learning_rate": 2.394e-05, + "loss": 4.1869, "step": 403 }, { - "epoch": 0.91, - "learning_rate": 2.4120000000000003e-05, - "loss": 4.0795, + "epoch": 0.34, + "learning_rate": 2.4e-05, + "loss": 4.2626, "step": 404 }, { - "epoch": 0.91, - "learning_rate": 2.4180000000000002e-05, - "loss": 4.0454, + "epoch": 0.34, + "learning_rate": 2.4060000000000003e-05, + "loss": 4.1379, "step": 405 }, { - "epoch": 0.91, - "learning_rate": 2.4240000000000002e-05, - "loss": 4.1319, + "epoch": 0.34, + "learning_rate": 2.4120000000000003e-05, + "loss": 4.1241, "step": 406 }, { - "epoch": 0.91, - "learning_rate": 2.43e-05, - "loss": 4.1041, + "epoch": 0.34, + "learning_rate": 2.4180000000000002e-05, + "loss": 4.0632, "step": 407 }, { - "epoch": 0.91, - "learning_rate": 2.4360000000000004e-05, - "loss": 4.1619, + "epoch": 0.34, + "learning_rate": 2.4240000000000002e-05, + "loss": 4.1654, "step": 408 }, { - "epoch": 0.92, - "learning_rate": 2.442e-05, - "loss": 4.1178, + "epoch": 0.34, + "learning_rate": 2.43e-05, + "loss": 4.1701, "step": 409 }, { - "epoch": 0.92, - "learning_rate": 2.448e-05, - "loss": 4.0931, + "epoch": 0.34, + "learning_rate": 2.4360000000000004e-05, + "loss": 4.327, "step": 410 }, { - "epoch": 0.92, - "learning_rate": 2.454e-05, - "loss": 4.314, + "epoch": 0.35, + "learning_rate": 2.442e-05, + "loss": 4.3407, "step": 411 }, { - "epoch": 0.92, - "learning_rate": 2.4599999999999998e-05, - "loss": 4.0508, + "epoch": 0.35, + "learning_rate": 2.448e-05, + "loss": 4.2136, "step": 412 }, { - "epoch": 0.93, - "learning_rate": 2.4659999999999998e-05, - "loss": 4.003, + "epoch": 0.35, + "learning_rate": 2.454e-05, + "loss": 4.2112, "step": 413 }, { - "epoch": 0.93, - "learning_rate": 2.472e-05, - "loss": 4.1375, + "epoch": 0.35, + "learning_rate": 2.4599999999999998e-05, + "loss": 4.0556, "step": 414 }, { - "epoch": 0.93, - "learning_rate": 2.478e-05, - "loss": 4.2206, + "epoch": 0.35, + "learning_rate": 2.4659999999999998e-05, + "loss": 4.2036, "step": 415 }, { - "epoch": 0.93, - "learning_rate": 2.484e-05, - "loss": 4.0785, + "epoch": 0.35, + "learning_rate": 2.472e-05, + "loss": 4.2702, "step": 416 }, { - "epoch": 0.93, - "learning_rate": 2.49e-05, - "loss": 4.1078, + "epoch": 0.35, + "learning_rate": 2.478e-05, + "loss": 3.9489, "step": 417 }, { - "epoch": 0.94, - "learning_rate": 2.4959999999999998e-05, - "loss": 4.0014, + "epoch": 0.35, + "learning_rate": 2.484e-05, + "loss": 4.0711, "step": 418 }, { - "epoch": 0.94, - "learning_rate": 2.502e-05, - "loss": 4.0941, + "epoch": 0.35, + "learning_rate": 2.49e-05, + "loss": 4.2809, "step": 419 }, { - "epoch": 0.94, - "learning_rate": 2.508e-05, - "loss": 4.0181, + "epoch": 0.35, + "learning_rate": 2.4959999999999998e-05, + "loss": 4.176, "step": 420 }, { - "epoch": 0.94, - "learning_rate": 2.514e-05, - "loss": 4.1846, + "epoch": 0.35, + "learning_rate": 2.502e-05, + "loss": 4.1256, "step": 421 }, { - "epoch": 0.95, - "learning_rate": 2.52e-05, - "loss": 4.0393, - "step": 422 + "epoch": 0.35, + "learning_rate": 2.508e-05, + "loss": 4.2436, + "step": 422 + }, + { + "epoch": 0.36, + "learning_rate": 2.514e-05, + "loss": 4.2221, + "step": 423 + }, + { + "epoch": 0.36, + "learning_rate": 2.52e-05, + "loss": 4.1591, + "step": 424 + }, + { + "epoch": 0.36, + "learning_rate": 2.526e-05, + "loss": 4.4836, + "step": 425 + }, + { + "epoch": 0.36, + "learning_rate": 2.5319999999999998e-05, + "loss": 4.1937, + "step": 426 + }, + { + "epoch": 0.36, + "learning_rate": 2.538e-05, + "loss": 4.1032, + "step": 427 + }, + { + "epoch": 0.36, + "learning_rate": 2.544e-05, + "loss": 4.1523, + "step": 428 + }, + { + "epoch": 0.36, + "learning_rate": 2.55e-05, + "loss": 4.419, + "step": 429 + }, + { + "epoch": 0.36, + "learning_rate": 2.556e-05, + "loss": 4.3495, + "step": 430 + }, + { + "epoch": 0.36, + "learning_rate": 2.562e-05, + "loss": 4.2146, + "step": 431 + }, + { + "epoch": 0.36, + "learning_rate": 2.568e-05, + "loss": 4.1366, + "step": 432 + }, + { + "epoch": 0.36, + "learning_rate": 2.574e-05, + "loss": 4.2631, + "step": 433 + }, + { + "epoch": 0.36, + "learning_rate": 2.58e-05, + "loss": 4.1508, + "step": 434 + }, + { + "epoch": 0.37, + "learning_rate": 2.586e-05, + "loss": 4.3975, + "step": 435 + }, + { + "epoch": 0.37, + "learning_rate": 2.592e-05, + "loss": 4.0812, + "step": 436 + }, + { + "epoch": 0.37, + "learning_rate": 2.5980000000000002e-05, + "loss": 4.0992, + "step": 437 + }, + { + "epoch": 0.37, + "learning_rate": 2.604e-05, + "loss": 4.084, + "step": 438 + }, + { + "epoch": 0.37, + "learning_rate": 2.61e-05, + "loss": 4.3237, + "step": 439 + }, + { + "epoch": 0.37, + "learning_rate": 2.616e-05, + "loss": 4.1893, + "step": 440 + }, + { + "epoch": 0.37, + "learning_rate": 2.622e-05, + "loss": 4.298, + "step": 441 + }, + { + "epoch": 0.37, + "learning_rate": 2.628e-05, + "loss": 4.2912, + "step": 442 + }, + { + "epoch": 0.37, + "learning_rate": 2.6340000000000002e-05, + "loss": 4.1628, + "step": 443 + }, + { + "epoch": 0.37, + "learning_rate": 2.64e-05, + "loss": 4.2758, + "step": 444 + }, + { + "epoch": 0.37, + "learning_rate": 2.646e-05, + "loss": 4.2355, + "step": 445 + }, + { + "epoch": 0.37, + "learning_rate": 2.652e-05, + "loss": 4.5063, + "step": 446 + }, + { + "epoch": 0.38, + "learning_rate": 2.658e-05, + "loss": 4.753, + "step": 447 + }, + { + "epoch": 0.38, + "learning_rate": 2.6640000000000002e-05, + "loss": 4.4271, + "step": 448 + }, + { + "epoch": 0.38, + "learning_rate": 2.6700000000000002e-05, + "loss": 4.5121, + "step": 449 + }, + { + "epoch": 0.38, + "learning_rate": 2.676e-05, + "loss": 4.5602, + "step": 450 + }, + { + "epoch": 0.38, + "learning_rate": 2.682e-05, + "loss": 4.0981, + "step": 451 + }, + { + "epoch": 0.38, + "learning_rate": 2.688e-05, + "loss": 4.0877, + "step": 452 + }, + { + "epoch": 0.38, + "learning_rate": 2.6940000000000003e-05, + "loss": 4.1266, + "step": 453 + }, + { + "epoch": 0.38, + "learning_rate": 2.7000000000000002e-05, + "loss": 4.2176, + "step": 454 + }, + { + "epoch": 0.38, + "learning_rate": 2.7060000000000002e-05, + "loss": 4.2328, + "step": 455 + }, + { + "epoch": 0.38, + "learning_rate": 2.712e-05, + "loss": 4.2785, + "step": 456 + }, + { + "epoch": 0.38, + "learning_rate": 2.718e-05, + "loss": 4.0902, + "step": 457 + }, + { + "epoch": 0.39, + "learning_rate": 2.724e-05, + "loss": 4.3384, + "step": 458 + }, + { + "epoch": 0.39, + "learning_rate": 2.7300000000000003e-05, + "loss": 4.1156, + "step": 459 + }, + { + "epoch": 0.39, + "learning_rate": 2.7360000000000002e-05, + "loss": 4.2531, + "step": 460 + }, + { + "epoch": 0.39, + "learning_rate": 2.7420000000000002e-05, + "loss": 4.387, + "step": 461 + }, + { + "epoch": 0.39, + "learning_rate": 2.748e-05, + "loss": 4.2243, + "step": 462 + }, + { + "epoch": 0.39, + "learning_rate": 2.754e-05, + "loss": 4.1874, + "step": 463 + }, + { + "epoch": 0.39, + "learning_rate": 2.7600000000000003e-05, + "loss": 4.3125, + "step": 464 + }, + { + "epoch": 0.39, + "learning_rate": 2.7660000000000003e-05, + "loss": 4.3213, + "step": 465 + }, + { + "epoch": 0.39, + "learning_rate": 2.7720000000000002e-05, + "loss": 4.0718, + "step": 466 + }, + { + "epoch": 0.39, + "learning_rate": 2.778e-05, + "loss": 4.2087, + "step": 467 + }, + { + "epoch": 0.39, + "learning_rate": 2.784e-05, + "loss": 4.2517, + "step": 468 + }, + { + "epoch": 0.39, + "learning_rate": 2.79e-05, + "loss": 4.0324, + "step": 469 + }, + { + "epoch": 0.4, + "learning_rate": 2.7960000000000003e-05, + "loss": 4.3931, + "step": 470 + }, + { + "epoch": 0.4, + "learning_rate": 2.8020000000000003e-05, + "loss": 4.2216, + "step": 471 + }, + { + "epoch": 0.4, + "learning_rate": 2.8080000000000002e-05, + "loss": 4.3404, + "step": 472 + }, + { + "epoch": 0.4, + "learning_rate": 2.8139999999999998e-05, + "loss": 3.9645, + "step": 473 + }, + { + "epoch": 0.4, + "learning_rate": 2.8199999999999998e-05, + "loss": 4.306, + "step": 474 + }, + { + "epoch": 0.4, + "learning_rate": 2.826e-05, + "loss": 4.3816, + "step": 475 + }, + { + "epoch": 0.4, + "learning_rate": 2.832e-05, + "loss": 4.3026, + "step": 476 + }, + { + "epoch": 0.4, + "learning_rate": 2.838e-05, + "loss": 4.0065, + "step": 477 + }, + { + "epoch": 0.4, + "learning_rate": 2.844e-05, + "loss": 4.2526, + "step": 478 + }, + { + "epoch": 0.4, + "learning_rate": 2.8499999999999998e-05, + "loss": 4.2118, + "step": 479 + }, + { + "epoch": 0.4, + "learning_rate": 2.856e-05, + "loss": 4.2084, + "step": 480 + }, + { + "epoch": 0.4, + "learning_rate": 2.862e-05, + "loss": 4.1341, + "step": 481 + }, + { + "epoch": 0.41, + "learning_rate": 2.868e-05, + "loss": 4.2129, + "step": 482 + }, + { + "epoch": 0.41, + "learning_rate": 2.874e-05, + "loss": 4.4199, + "step": 483 + }, + { + "epoch": 0.41, + "learning_rate": 2.88e-05, + "loss": 4.372, + "step": 484 + }, + { + "epoch": 0.41, + "learning_rate": 2.8859999999999998e-05, + "loss": 4.2345, + "step": 485 + }, + { + "epoch": 0.41, + "learning_rate": 2.892e-05, + "loss": 4.2636, + "step": 486 + }, + { + "epoch": 0.41, + "learning_rate": 2.898e-05, + "loss": 4.0573, + "step": 487 + }, + { + "epoch": 0.41, + "learning_rate": 2.904e-05, + "loss": 4.1976, + "step": 488 + }, + { + "epoch": 0.41, + "learning_rate": 2.91e-05, + "loss": 4.0942, + "step": 489 + }, + { + "epoch": 0.41, + "learning_rate": 2.916e-05, + "loss": 4.1982, + "step": 490 + }, + { + "epoch": 0.41, + "learning_rate": 2.922e-05, + "loss": 4.2939, + "step": 491 + }, + { + "epoch": 0.41, + "learning_rate": 2.928e-05, + "loss": 4.1793, + "step": 492 + }, + { + "epoch": 0.41, + "learning_rate": 2.934e-05, + "loss": 4.4447, + "step": 493 + }, + { + "epoch": 0.42, + "learning_rate": 2.94e-05, + "loss": 4.3125, + "step": 494 + }, + { + "epoch": 0.42, + "learning_rate": 2.946e-05, + "loss": 4.654, + "step": 495 + }, + { + "epoch": 0.42, + "learning_rate": 2.9520000000000002e-05, + "loss": 4.39, + "step": 496 + }, + { + "epoch": 0.42, + "learning_rate": 2.958e-05, + "loss": 4.3429, + "step": 497 + }, + { + "epoch": 0.42, + "learning_rate": 2.964e-05, + "loss": 4.5546, + "step": 498 + }, + { + "epoch": 0.42, + "learning_rate": 2.97e-05, + "loss": 4.3525, + "step": 499 + }, + { + "epoch": 0.42, + "learning_rate": 2.976e-05, + "loss": 4.3963, + "step": 500 + }, + { + "epoch": 0.42, + "eval_loss": 4.31812047958374, + "eval_runtime": 787.054, + "eval_samples_per_second": 3.357, + "eval_steps_per_second": 0.281, + "eval_wer": 1.8917096390321302, + "step": 500 + }, + { + "epoch": 0.42, + "learning_rate": 2.982e-05, + "loss": 4.2787, + "step": 501 + }, + { + "epoch": 0.42, + "learning_rate": 2.9880000000000002e-05, + "loss": 4.3156, + "step": 502 + }, + { + "epoch": 0.42, + "learning_rate": 2.994e-05, + "loss": 4.2268, + "step": 503 + }, + { + "epoch": 0.42, + "learning_rate": 3e-05, + "loss": 3.9769, + "step": 504 + }, + { + "epoch": 0.42, + "learning_rate": 2.995645863570392e-05, + "loss": 4.2368, + "step": 505 + }, + { + "epoch": 0.43, + "learning_rate": 2.9912917271407838e-05, + "loss": 4.3288, + "step": 506 + }, + { + "epoch": 0.43, + "learning_rate": 2.9869375907111758e-05, + "loss": 4.0865, + "step": 507 + }, + { + "epoch": 0.43, + "learning_rate": 2.9825834542815675e-05, + "loss": 4.1491, + "step": 508 + }, + { + "epoch": 0.43, + "learning_rate": 2.9782293178519592e-05, + "loss": 4.2185, + "step": 509 + }, + { + "epoch": 0.43, + "learning_rate": 2.9738751814223512e-05, + "loss": 4.4993, + "step": 510 + }, + { + "epoch": 0.43, + "learning_rate": 2.9695210449927432e-05, + "loss": 4.2993, + "step": 511 + }, + { + "epoch": 0.43, + "learning_rate": 2.9651669085631353e-05, + "loss": 4.0531, + "step": 512 + }, + { + "epoch": 0.43, + "learning_rate": 2.960812772133527e-05, + "loss": 4.3561, + "step": 513 + }, + { + "epoch": 0.43, + "learning_rate": 2.956458635703919e-05, + "loss": 4.0485, + "step": 514 + }, + { + "epoch": 0.43, + "learning_rate": 2.9521044992743107e-05, + "loss": 4.0402, + "step": 515 + }, + { + "epoch": 0.43, + "learning_rate": 2.9477503628447024e-05, + "loss": 4.1555, + "step": 516 + }, + { + "epoch": 0.43, + "learning_rate": 2.9433962264150944e-05, + "loss": 4.2702, + "step": 517 + }, + { + "epoch": 0.44, + "learning_rate": 2.9390420899854864e-05, + "loss": 4.1078, + "step": 518 + }, + { + "epoch": 0.44, + "learning_rate": 2.934687953555878e-05, + "loss": 4.5942, + "step": 519 + }, + { + "epoch": 0.44, + "learning_rate": 2.93033381712627e-05, + "loss": 4.1278, + "step": 520 + }, + { + "epoch": 0.44, + "learning_rate": 2.925979680696662e-05, + "loss": 4.2122, + "step": 521 + }, + { + "epoch": 0.44, + "learning_rate": 2.9216255442670535e-05, + "loss": 4.2119, + "step": 522 + }, + { + "epoch": 0.44, + "learning_rate": 2.9172714078374455e-05, + "loss": 4.2674, + "step": 523 + }, + { + "epoch": 0.44, + "learning_rate": 2.9129172714078376e-05, + "loss": 4.2288, + "step": 524 + }, + { + "epoch": 0.44, + "learning_rate": 2.9085631349782292e-05, + "loss": 4.2191, + "step": 525 + }, + { + "epoch": 0.44, + "learning_rate": 2.9042089985486213e-05, + "loss": 3.983, + "step": 526 + }, + { + "epoch": 0.44, + "learning_rate": 2.8998548621190133e-05, + "loss": 4.254, + "step": 527 + }, + { + "epoch": 0.44, + "learning_rate": 2.8955007256894053e-05, + "loss": 4.2543, + "step": 528 + }, + { + "epoch": 0.44, + "learning_rate": 2.8911465892597967e-05, + "loss": 4.4138, + "step": 529 + }, + { + "epoch": 0.45, + "learning_rate": 2.8867924528301887e-05, + "loss": 4.3523, + "step": 530 + }, + { + "epoch": 0.45, + "learning_rate": 2.8824383164005807e-05, + "loss": 4.3558, + "step": 531 + }, + { + "epoch": 0.45, + "learning_rate": 2.8780841799709724e-05, + "loss": 4.3372, + "step": 532 + }, + { + "epoch": 0.45, + "learning_rate": 2.8737300435413644e-05, + "loss": 4.2213, + "step": 533 + }, + { + "epoch": 0.45, + "learning_rate": 2.8693759071117565e-05, + "loss": 4.2444, + "step": 534 + }, + { + "epoch": 0.45, + "learning_rate": 2.865021770682148e-05, + "loss": 4.1607, + "step": 535 + }, + { + "epoch": 0.45, + "learning_rate": 2.86066763425254e-05, + "loss": 4.098, + "step": 536 + }, + { + "epoch": 0.45, + "learning_rate": 2.856313497822932e-05, + "loss": 4.2933, + "step": 537 + }, + { + "epoch": 0.45, + "learning_rate": 2.8519593613933236e-05, + "loss": 3.9004, + "step": 538 + }, + { + "epoch": 0.45, + "learning_rate": 2.8476052249637156e-05, + "loss": 4.3056, + "step": 539 + }, + { + "epoch": 0.45, + "learning_rate": 2.8432510885341076e-05, + "loss": 4.2941, + "step": 540 + }, + { + "epoch": 0.45, + "learning_rate": 2.8388969521044996e-05, + "loss": 4.3823, + "step": 541 + }, + { + "epoch": 0.46, + "learning_rate": 2.834542815674891e-05, + "loss": 4.2052, + "step": 542 + }, + { + "epoch": 0.46, + "learning_rate": 2.830188679245283e-05, + "loss": 4.1273, + "step": 543 + }, + { + "epoch": 0.46, + "learning_rate": 2.825834542815675e-05, + "loss": 4.325, + "step": 544 + }, + { + "epoch": 0.46, + "learning_rate": 2.8214804063860667e-05, + "loss": 4.4019, + "step": 545 + }, + { + "epoch": 0.46, + "learning_rate": 2.8171262699564588e-05, + "loss": 4.2391, + "step": 546 + }, + { + "epoch": 0.46, + "learning_rate": 2.8127721335268508e-05, + "loss": 4.1486, + "step": 547 + }, + { + "epoch": 0.46, + "learning_rate": 2.8084179970972425e-05, + "loss": 4.4644, + "step": 548 + }, + { + "epoch": 0.46, + "learning_rate": 2.804063860667634e-05, + "loss": 4.536, + "step": 549 + }, + { + "epoch": 0.46, + "learning_rate": 2.7997097242380262e-05, + "loss": 4.9046, + "step": 550 + }, + { + "epoch": 0.46, + "learning_rate": 2.795355587808418e-05, + "loss": 4.3163, + "step": 551 + }, + { + "epoch": 0.46, + "learning_rate": 2.79100145137881e-05, + "loss": 4.2158, + "step": 552 + }, + { + "epoch": 0.46, + "learning_rate": 2.786647314949202e-05, + "loss": 4.2927, + "step": 553 + }, + { + "epoch": 0.47, + "learning_rate": 2.7822931785195936e-05, + "loss": 4.3969, + "step": 554 + }, + { + "epoch": 0.47, + "learning_rate": 2.7779390420899856e-05, + "loss": 4.3762, + "step": 555 + }, + { + "epoch": 0.47, + "learning_rate": 2.7735849056603773e-05, + "loss": 4.1186, + "step": 556 + }, + { + "epoch": 0.47, + "learning_rate": 2.7692307692307694e-05, + "loss": 4.1002, + "step": 557 + }, + { + "epoch": 0.47, + "learning_rate": 2.764876632801161e-05, + "loss": 4.1572, + "step": 558 + }, + { + "epoch": 0.47, + "learning_rate": 2.760522496371553e-05, + "loss": 4.3174, + "step": 559 + }, + { + "epoch": 0.47, + "learning_rate": 2.756168359941945e-05, + "loss": 4.1761, + "step": 560 + }, + { + "epoch": 0.47, + "learning_rate": 2.7518142235123368e-05, + "loss": 4.1761, + "step": 561 + }, + { + "epoch": 0.47, + "learning_rate": 2.7474600870827288e-05, + "loss": 4.0344, + "step": 562 + }, + { + "epoch": 0.47, + "learning_rate": 2.7431059506531205e-05, + "loss": 4.36, + "step": 563 + }, + { + "epoch": 0.47, + "learning_rate": 2.7387518142235122e-05, + "loss": 3.9784, + "step": 564 + }, + { + "epoch": 0.47, + "learning_rate": 2.7343976777939042e-05, + "loss": 4.0456, + "step": 565 + }, + { + "epoch": 0.48, + "learning_rate": 2.7300435413642962e-05, + "loss": 4.2407, + "step": 566 + }, + { + "epoch": 0.48, + "learning_rate": 2.725689404934688e-05, + "loss": 4.2338, + "step": 567 + }, + { + "epoch": 0.48, + "learning_rate": 2.72133526850508e-05, + "loss": 4.3216, + "step": 568 + }, + { + "epoch": 0.48, + "learning_rate": 2.716981132075472e-05, + "loss": 4.0335, + "step": 569 + }, + { + "epoch": 0.48, + "learning_rate": 2.7126269956458637e-05, + "loss": 4.1294, + "step": 570 + }, + { + "epoch": 0.48, + "learning_rate": 2.7082728592162554e-05, + "loss": 4.1418, + "step": 571 + }, + { + "epoch": 0.48, + "learning_rate": 2.7039187227866474e-05, + "loss": 4.3184, + "step": 572 + }, + { + "epoch": 0.48, + "learning_rate": 2.6995645863570394e-05, + "loss": 4.1821, + "step": 573 + }, + { + "epoch": 0.48, + "learning_rate": 2.695210449927431e-05, + "loss": 4.3712, + "step": 574 + }, + { + "epoch": 0.48, + "learning_rate": 2.690856313497823e-05, + "loss": 4.3184, + "step": 575 + }, + { + "epoch": 0.48, + "learning_rate": 2.686502177068215e-05, + "loss": 4.3245, + "step": 576 + }, + { + "epoch": 0.49, + "learning_rate": 2.6821480406386065e-05, + "loss": 4.3666, + "step": 577 + }, + { + "epoch": 0.49, + "learning_rate": 2.6777939042089985e-05, + "loss": 4.1713, + "step": 578 + }, + { + "epoch": 0.49, + "learning_rate": 2.6734397677793905e-05, + "loss": 4.2383, + "step": 579 + }, + { + "epoch": 0.49, + "learning_rate": 2.6690856313497822e-05, + "loss": 4.2657, + "step": 580 + }, + { + "epoch": 0.49, + "learning_rate": 2.6647314949201743e-05, + "loss": 4.4122, + "step": 581 + }, + { + "epoch": 0.49, + "learning_rate": 2.6603773584905663e-05, + "loss": 4.0174, + "step": 582 + }, + { + "epoch": 0.49, + "learning_rate": 2.656023222060958e-05, + "loss": 4.1298, + "step": 583 + }, + { + "epoch": 0.49, + "learning_rate": 2.6516690856313497e-05, + "loss": 4.2765, + "step": 584 + }, + { + "epoch": 0.49, + "learning_rate": 2.6473149492017417e-05, + "loss": 4.3216, + "step": 585 + }, + { + "epoch": 0.49, + "learning_rate": 2.6429608127721337e-05, + "loss": 4.2649, + "step": 586 + }, + { + "epoch": 0.49, + "learning_rate": 2.6386066763425254e-05, + "loss": 4.3561, + "step": 587 + }, + { + "epoch": 0.49, + "learning_rate": 2.6342525399129174e-05, + "loss": 4.2005, + "step": 588 + }, + { + "epoch": 0.5, + "learning_rate": 2.6298984034833095e-05, + "loss": 4.1685, + "step": 589 + }, + { + "epoch": 0.5, + "learning_rate": 2.625544267053701e-05, + "loss": 4.194, + "step": 590 + }, + { + "epoch": 0.5, + "learning_rate": 2.621190130624093e-05, + "loss": 4.2619, + "step": 591 + }, + { + "epoch": 0.5, + "learning_rate": 2.616835994194485e-05, + "loss": 4.1578, + "step": 592 + }, + { + "epoch": 0.5, + "learning_rate": 2.6124818577648765e-05, + "loss": 4.6091, + "step": 593 + }, + { + "epoch": 0.5, + "learning_rate": 2.6081277213352686e-05, + "loss": 4.224, + "step": 594 + }, + { + "epoch": 0.5, + "learning_rate": 2.6037735849056606e-05, + "loss": 4.3454, + "step": 595 + }, + { + "epoch": 0.5, + "learning_rate": 2.5994194484760523e-05, + "loss": 4.0568, + "step": 596 + }, + { + "epoch": 0.5, + "learning_rate": 2.5950653120464443e-05, + "loss": 4.2776, + "step": 597 + }, + { + "epoch": 0.5, + "learning_rate": 2.590711175616836e-05, + "loss": 4.5071, + "step": 598 + }, + { + "epoch": 0.5, + "learning_rate": 2.5863570391872277e-05, + "loss": 4.4919, + "step": 599 + }, + { + "epoch": 0.5, + "learning_rate": 2.5820029027576197e-05, + "loss": 4.7298, + "step": 600 + }, + { + "epoch": 0.51, + "learning_rate": 2.5776487663280117e-05, + "loss": 4.1329, + "step": 601 + }, + { + "epoch": 0.51, + "learning_rate": 2.5732946298984038e-05, + "loss": 4.2925, + "step": 602 + }, + { + "epoch": 0.51, + "learning_rate": 2.5689404934687955e-05, + "loss": 4.4772, + "step": 603 + }, + { + "epoch": 0.51, + "learning_rate": 2.564586357039187e-05, + "loss": 4.0057, + "step": 604 + }, + { + "epoch": 0.51, + "learning_rate": 2.5602322206095792e-05, + "loss": 4.2021, + "step": 605 + }, + { + "epoch": 0.51, + "learning_rate": 2.555878084179971e-05, + "loss": 4.3052, + "step": 606 + }, + { + "epoch": 0.51, + "learning_rate": 2.551523947750363e-05, + "loss": 4.1938, + "step": 607 + }, + { + "epoch": 0.51, + "learning_rate": 2.547169811320755e-05, + "loss": 4.3898, + "step": 608 + }, + { + "epoch": 0.51, + "learning_rate": 2.5428156748911466e-05, + "loss": 4.2565, + "step": 609 + }, + { + "epoch": 0.51, + "learning_rate": 2.5384615384615386e-05, + "loss": 4.2614, + "step": 610 + }, + { + "epoch": 0.51, + "learning_rate": 2.5341074020319303e-05, + "loss": 4.2616, + "step": 611 + }, + { + "epoch": 0.51, + "learning_rate": 2.529753265602322e-05, + "loss": 4.0055, + "step": 612 + }, + { + "epoch": 0.52, + "learning_rate": 2.525399129172714e-05, + "loss": 4.2784, + "step": 613 + }, + { + "epoch": 0.52, + "learning_rate": 2.521044992743106e-05, + "loss": 4.0664, + "step": 614 + }, + { + "epoch": 0.52, + "learning_rate": 2.516690856313498e-05, + "loss": 4.1826, + "step": 615 + }, + { + "epoch": 0.52, + "learning_rate": 2.5123367198838898e-05, + "loss": 4.2279, + "step": 616 + }, + { + "epoch": 0.52, + "learning_rate": 2.5079825834542818e-05, + "loss": 4.1516, + "step": 617 + }, + { + "epoch": 0.52, + "learning_rate": 2.5036284470246735e-05, + "loss": 4.1771, + "step": 618 + }, + { + "epoch": 0.52, + "learning_rate": 2.4992743105950652e-05, + "loss": 4.2239, + "step": 619 + }, + { + "epoch": 0.52, + "learning_rate": 2.4949201741654572e-05, + "loss": 4.1977, + "step": 620 + }, + { + "epoch": 0.52, + "learning_rate": 2.4905660377358492e-05, + "loss": 3.9837, + "step": 621 + }, + { + "epoch": 0.52, + "learning_rate": 2.486211901306241e-05, + "loss": 3.8723, + "step": 622 + }, + { + "epoch": 0.52, + "learning_rate": 2.481857764876633e-05, + "loss": 4.3487, + "step": 623 + }, + { + "epoch": 0.52, + "learning_rate": 2.477503628447025e-05, + "loss": 4.2749, + "step": 624 + }, + { + "epoch": 0.53, + "learning_rate": 2.4731494920174163e-05, + "loss": 4.2056, + "step": 625 + }, + { + "epoch": 0.53, + "learning_rate": 2.4687953555878083e-05, + "loss": 4.4245, + "step": 626 + }, + { + "epoch": 0.53, + "learning_rate": 2.4644412191582004e-05, + "loss": 4.3677, + "step": 627 + }, + { + "epoch": 0.53, + "learning_rate": 2.460087082728592e-05, + "loss": 3.9882, + "step": 628 + }, + { + "epoch": 0.53, + "learning_rate": 2.455732946298984e-05, + "loss": 4.1001, + "step": 629 + }, + { + "epoch": 0.53, + "learning_rate": 2.451378809869376e-05, + "loss": 4.2242, + "step": 630 + }, + { + "epoch": 0.53, + "learning_rate": 2.447024673439768e-05, + "loss": 4.4039, + "step": 631 + }, + { + "epoch": 0.53, + "learning_rate": 2.4426705370101595e-05, + "loss": 4.1222, + "step": 632 + }, + { + "epoch": 0.53, + "learning_rate": 2.4383164005805515e-05, + "loss": 4.2713, + "step": 633 + }, + { + "epoch": 0.53, + "learning_rate": 2.4339622641509435e-05, + "loss": 4.1611, + "step": 634 + }, + { + "epoch": 0.53, + "learning_rate": 2.4296081277213352e-05, + "loss": 4.3203, + "step": 635 + }, + { + "epoch": 0.53, + "learning_rate": 2.4252539912917273e-05, + "loss": 4.1684, + "step": 636 + }, + { + "epoch": 0.54, + "learning_rate": 2.4208998548621193e-05, + "loss": 3.8974, + "step": 637 + }, + { + "epoch": 0.54, + "learning_rate": 2.416545718432511e-05, + "loss": 4.117, + "step": 638 + }, + { + "epoch": 0.54, + "learning_rate": 2.4121915820029027e-05, + "loss": 4.1567, + "step": 639 + }, + { + "epoch": 0.54, + "learning_rate": 2.4078374455732947e-05, + "loss": 4.2168, + "step": 640 + }, + { + "epoch": 0.54, + "learning_rate": 2.4034833091436864e-05, + "loss": 4.161, + "step": 641 + }, + { + "epoch": 0.54, + "learning_rate": 2.3991291727140784e-05, + "loss": 4.2408, + "step": 642 + }, + { + "epoch": 0.54, + "learning_rate": 2.3947750362844704e-05, + "loss": 4.4083, + "step": 643 + }, + { + "epoch": 0.54, + "learning_rate": 2.3904208998548625e-05, + "loss": 4.2046, + "step": 644 + }, + { + "epoch": 0.54, + "learning_rate": 2.386066763425254e-05, + "loss": 4.2269, + "step": 645 + }, + { + "epoch": 0.54, + "learning_rate": 2.3817126269956458e-05, + "loss": 4.1862, + "step": 646 + }, + { + "epoch": 0.54, + "learning_rate": 2.377358490566038e-05, + "loss": 4.0266, + "step": 647 + }, + { + "epoch": 0.54, + "learning_rate": 2.3730043541364295e-05, + "loss": 4.5443, + "step": 648 + }, + { + "epoch": 0.55, + "learning_rate": 2.3686502177068216e-05, + "loss": 4.6949, + "step": 649 + }, + { + "epoch": 0.55, + "learning_rate": 2.3642960812772136e-05, + "loss": 4.6649, + "step": 650 + }, + { + "epoch": 0.55, + "learning_rate": 2.3599419448476053e-05, + "loss": 4.3659, + "step": 651 + }, + { + "epoch": 0.55, + "learning_rate": 2.3555878084179973e-05, + "loss": 4.1146, + "step": 652 + }, + { + "epoch": 0.55, + "learning_rate": 2.351233671988389e-05, + "loss": 4.3208, + "step": 653 + }, + { + "epoch": 0.55, + "learning_rate": 2.3468795355587807e-05, + "loss": 4.228, + "step": 654 + }, + { + "epoch": 0.55, + "learning_rate": 2.3425253991291727e-05, + "loss": 4.2048, + "step": 655 + }, + { + "epoch": 0.55, + "learning_rate": 2.3381712626995647e-05, + "loss": 4.186, + "step": 656 + }, + { + "epoch": 0.55, + "learning_rate": 2.3338171262699564e-05, + "loss": 4.1094, + "step": 657 + }, + { + "epoch": 0.55, + "learning_rate": 2.3294629898403485e-05, + "loss": 4.2268, + "step": 658 + }, + { + "epoch": 0.55, + "learning_rate": 2.3251088534107405e-05, + "loss": 4.1989, + "step": 659 + }, + { + "epoch": 0.55, + "learning_rate": 2.320754716981132e-05, + "loss": 4.1938, + "step": 660 + }, + { + "epoch": 0.56, + "learning_rate": 2.316400580551524e-05, + "loss": 4.2022, + "step": 661 + }, + { + "epoch": 0.56, + "learning_rate": 2.312046444121916e-05, + "loss": 4.0532, + "step": 662 + }, + { + "epoch": 0.56, + "learning_rate": 2.307692307692308e-05, + "loss": 4.2375, + "step": 663 + }, + { + "epoch": 0.56, + "learning_rate": 2.3033381712626996e-05, + "loss": 4.1408, + "step": 664 + }, + { + "epoch": 0.56, + "learning_rate": 2.2989840348330916e-05, + "loss": 4.4725, + "step": 665 + }, + { + "epoch": 0.56, + "learning_rate": 2.2946298984034833e-05, + "loss": 4.2757, + "step": 666 + }, + { + "epoch": 0.56, + "learning_rate": 2.290275761973875e-05, + "loss": 4.3083, + "step": 667 + }, + { + "epoch": 0.56, + "learning_rate": 2.285921625544267e-05, + "loss": 4.1377, + "step": 668 + }, + { + "epoch": 0.56, + "learning_rate": 2.281567489114659e-05, + "loss": 4.1596, + "step": 669 + }, + { + "epoch": 0.56, + "learning_rate": 2.2772133526850507e-05, + "loss": 4.1153, + "step": 670 + }, + { + "epoch": 0.56, + "learning_rate": 2.2728592162554428e-05, + "loss": 4.2722, + "step": 671 + }, + { + "epoch": 0.56, + "learning_rate": 2.2685050798258348e-05, + "loss": 4.1801, + "step": 672 + }, + { + "epoch": 0.57, + "learning_rate": 2.2641509433962265e-05, + "loss": 4.2868, + "step": 673 + }, + { + "epoch": 0.57, + "learning_rate": 2.259796806966618e-05, + "loss": 4.2577, + "step": 674 + }, + { + "epoch": 0.57, + "learning_rate": 2.2554426705370102e-05, + "loss": 4.1359, + "step": 675 + }, + { + "epoch": 0.57, + "learning_rate": 2.2510885341074022e-05, + "loss": 3.9345, + "step": 676 + }, + { + "epoch": 0.57, + "learning_rate": 2.246734397677794e-05, + "loss": 4.3573, + "step": 677 + }, + { + "epoch": 0.57, + "learning_rate": 2.242380261248186e-05, + "loss": 4.1647, + "step": 678 + }, + { + "epoch": 0.57, + "learning_rate": 2.238026124818578e-05, + "loss": 4.1087, + "step": 679 + }, + { + "epoch": 0.57, + "learning_rate": 2.2336719883889693e-05, + "loss": 4.3817, + "step": 680 + }, + { + "epoch": 0.57, + "learning_rate": 2.2293178519593613e-05, + "loss": 3.9119, + "step": 681 + }, + { + "epoch": 0.57, + "learning_rate": 2.2249637155297534e-05, + "loss": 4.0308, + "step": 682 + }, + { + "epoch": 0.57, + "learning_rate": 2.220609579100145e-05, + "loss": 4.2724, + "step": 683 + }, + { + "epoch": 0.58, + "learning_rate": 2.216255442670537e-05, + "loss": 4.0064, + "step": 684 + }, + { + "epoch": 0.58, + "learning_rate": 2.211901306240929e-05, + "loss": 4.1809, + "step": 685 + }, + { + "epoch": 0.58, + "learning_rate": 2.2075471698113208e-05, + "loss": 4.2179, + "step": 686 + }, + { + "epoch": 0.58, + "learning_rate": 2.2031930333817125e-05, + "loss": 4.1127, + "step": 687 + }, + { + "epoch": 0.58, + "learning_rate": 2.1988388969521045e-05, + "loss": 4.1502, + "step": 688 + }, + { + "epoch": 0.58, + "learning_rate": 2.1944847605224965e-05, + "loss": 4.3217, + "step": 689 + }, + { + "epoch": 0.58, + "learning_rate": 2.1901306240928882e-05, + "loss": 4.3293, + "step": 690 + }, + { + "epoch": 0.58, + "learning_rate": 2.1857764876632802e-05, + "loss": 4.5591, + "step": 691 + }, + { + "epoch": 0.58, + "learning_rate": 2.1814223512336723e-05, + "loss": 4.3901, + "step": 692 + }, + { + "epoch": 0.58, + "learning_rate": 2.177068214804064e-05, + "loss": 4.4107, + "step": 693 + }, + { + "epoch": 0.58, + "learning_rate": 2.1727140783744556e-05, + "loss": 4.4495, + "step": 694 + }, + { + "epoch": 0.58, + "learning_rate": 2.1683599419448477e-05, + "loss": 4.189, + "step": 695 + }, + { + "epoch": 0.59, + "learning_rate": 2.1640058055152394e-05, + "loss": 4.1249, + "step": 696 + }, + { + "epoch": 0.59, + "learning_rate": 2.1596516690856314e-05, + "loss": 4.2779, + "step": 697 + }, + { + "epoch": 0.59, + "learning_rate": 2.1552975326560234e-05, + "loss": 4.6044, + "step": 698 + }, + { + "epoch": 0.59, + "learning_rate": 2.150943396226415e-05, + "loss": 4.0719, + "step": 699 + }, + { + "epoch": 0.59, + "learning_rate": 2.146589259796807e-05, + "loss": 4.8907, + "step": 700 + }, + { + "epoch": 0.59, + "learning_rate": 2.1422351233671988e-05, + "loss": 4.3704, + "step": 701 + }, + { + "epoch": 0.59, + "learning_rate": 2.137880986937591e-05, + "loss": 4.0879, + "step": 702 + }, + { + "epoch": 0.59, + "learning_rate": 2.1335268505079825e-05, + "loss": 4.1881, + "step": 703 + }, + { + "epoch": 0.59, + "learning_rate": 2.1291727140783746e-05, + "loss": 3.9277, + "step": 704 + }, + { + "epoch": 0.59, + "learning_rate": 2.1248185776487666e-05, + "loss": 4.0999, + "step": 705 + }, + { + "epoch": 0.59, + "learning_rate": 2.1204644412191583e-05, + "loss": 4.1482, + "step": 706 + }, + { + "epoch": 0.59, + "learning_rate": 2.1161103047895503e-05, + "loss": 4.1645, + "step": 707 + }, + { + "epoch": 0.6, + "learning_rate": 2.111756168359942e-05, + "loss": 4.129, + "step": 708 + }, + { + "epoch": 0.6, + "learning_rate": 2.1074020319303337e-05, + "loss": 4.1714, + "step": 709 + }, + { + "epoch": 0.6, + "learning_rate": 2.1030478955007257e-05, + "loss": 4.2756, + "step": 710 + }, + { + "epoch": 0.6, + "learning_rate": 2.0986937590711177e-05, + "loss": 4.0141, + "step": 711 + }, + { + "epoch": 0.6, + "learning_rate": 2.0943396226415094e-05, + "loss": 4.3078, + "step": 712 + }, + { + "epoch": 0.6, + "learning_rate": 2.0899854862119014e-05, + "loss": 4.165, + "step": 713 + }, + { + "epoch": 0.6, + "learning_rate": 2.0856313497822935e-05, + "loss": 4.0277, + "step": 714 + }, + { + "epoch": 0.6, + "learning_rate": 2.0812772133526848e-05, + "loss": 4.1871, + "step": 715 + }, + { + "epoch": 0.6, + "learning_rate": 2.076923076923077e-05, + "loss": 4.0522, + "step": 716 + }, + { + "epoch": 0.6, + "learning_rate": 2.072568940493469e-05, + "loss": 4.0718, + "step": 717 + }, + { + "epoch": 0.6, + "learning_rate": 2.068214804063861e-05, + "loss": 4.3626, + "step": 718 + }, + { + "epoch": 0.6, + "learning_rate": 2.0638606676342526e-05, + "loss": 4.1405, + "step": 719 + }, + { + "epoch": 0.61, + "learning_rate": 2.0595065312046446e-05, + "loss": 4.0301, + "step": 720 + }, + { + "epoch": 0.61, + "learning_rate": 2.0551523947750363e-05, + "loss": 4.111, + "step": 721 + }, + { + "epoch": 0.61, + "learning_rate": 2.050798258345428e-05, + "loss": 3.9836, + "step": 722 + }, + { + "epoch": 0.61, + "learning_rate": 2.04644412191582e-05, + "loss": 4.1762, + "step": 723 + }, + { + "epoch": 0.61, + "learning_rate": 2.042089985486212e-05, + "loss": 4.0696, + "step": 724 + }, + { + "epoch": 0.61, + "learning_rate": 2.0377358490566037e-05, + "loss": 4.217, + "step": 725 + }, + { + "epoch": 0.61, + "learning_rate": 2.0333817126269958e-05, + "loss": 4.2628, + "step": 726 + }, + { + "epoch": 0.61, + "learning_rate": 2.0290275761973878e-05, + "loss": 4.1171, + "step": 727 + }, + { + "epoch": 0.61, + "learning_rate": 2.024673439767779e-05, + "loss": 4.2818, + "step": 728 + }, + { + "epoch": 0.61, + "learning_rate": 2.020319303338171e-05, + "loss": 3.9628, + "step": 729 + }, + { + "epoch": 0.61, + "learning_rate": 2.0159651669085632e-05, + "loss": 4.308, + "step": 730 + }, + { + "epoch": 0.61, + "learning_rate": 2.011611030478955e-05, + "loss": 4.2634, + "step": 731 + }, + { + "epoch": 0.62, + "learning_rate": 2.007256894049347e-05, + "loss": 4.4191, + "step": 732 + }, + { + "epoch": 0.62, + "learning_rate": 2.002902757619739e-05, + "loss": 3.9985, + "step": 733 + }, + { + "epoch": 0.62, + "learning_rate": 1.998548621190131e-05, + "loss": 4.246, + "step": 734 + }, + { + "epoch": 0.62, + "learning_rate": 1.9941944847605223e-05, + "loss": 4.1971, + "step": 735 + }, + { + "epoch": 0.62, + "learning_rate": 1.9898403483309143e-05, + "loss": 4.1536, + "step": 736 + }, + { + "epoch": 0.62, + "learning_rate": 1.9854862119013064e-05, + "loss": 4.1814, + "step": 737 + }, + { + "epoch": 0.62, + "learning_rate": 1.981132075471698e-05, + "loss": 4.3588, + "step": 738 + }, + { + "epoch": 0.62, + "learning_rate": 1.97677793904209e-05, + "loss": 4.2966, + "step": 739 + }, + { + "epoch": 0.62, + "learning_rate": 1.972423802612482e-05, + "loss": 4.0711, + "step": 740 + }, + { + "epoch": 0.62, + "learning_rate": 1.9680696661828738e-05, + "loss": 4.3214, + "step": 741 + }, + { + "epoch": 0.62, + "learning_rate": 1.9637155297532655e-05, + "loss": 4.1784, + "step": 742 + }, + { + "epoch": 0.62, + "learning_rate": 1.9593613933236575e-05, + "loss": 4.2183, + "step": 743 + }, + { + "epoch": 0.63, + "learning_rate": 1.9550072568940492e-05, + "loss": 4.3362, + "step": 744 + }, + { + "epoch": 0.63, + "learning_rate": 1.9506531204644412e-05, + "loss": 4.4376, + "step": 745 + }, + { + "epoch": 0.63, + "learning_rate": 1.9462989840348332e-05, + "loss": 4.4175, + "step": 746 + }, + { + "epoch": 0.63, + "learning_rate": 1.9419448476052253e-05, + "loss": 4.5554, + "step": 747 + }, + { + "epoch": 0.63, + "learning_rate": 1.937590711175617e-05, + "loss": 4.6952, + "step": 748 + }, + { + "epoch": 0.63, + "learning_rate": 1.9332365747460086e-05, + "loss": 4.2484, + "step": 749 + }, + { + "epoch": 0.63, + "learning_rate": 1.9288824383164007e-05, + "loss": 4.534, + "step": 750 + }, + { + "epoch": 0.63, + "learning_rate": 1.9245283018867924e-05, + "loss": 4.1023, + "step": 751 + }, + { + "epoch": 0.63, + "learning_rate": 1.9201741654571844e-05, + "loss": 4.2307, + "step": 752 + }, + { + "epoch": 0.63, + "learning_rate": 1.9158200290275764e-05, + "loss": 4.2812, + "step": 753 + }, + { + "epoch": 0.63, + "learning_rate": 1.911465892597968e-05, + "loss": 4.0733, + "step": 754 + }, + { + "epoch": 0.63, + "learning_rate": 1.90711175616836e-05, + "loss": 4.279, + "step": 755 + }, + { + "epoch": 0.64, + "learning_rate": 1.9027576197387518e-05, + "loss": 4.1167, + "step": 756 + }, + { + "epoch": 0.64, + "learning_rate": 1.8984034833091435e-05, + "loss": 4.1397, + "step": 757 + }, + { + "epoch": 0.64, + "learning_rate": 1.8940493468795355e-05, + "loss": 3.9688, + "step": 758 + }, + { + "epoch": 0.64, + "learning_rate": 1.8896952104499276e-05, + "loss": 4.1564, + "step": 759 + }, + { + "epoch": 0.64, + "learning_rate": 1.8853410740203192e-05, + "loss": 4.3238, + "step": 760 + }, + { + "epoch": 0.64, + "learning_rate": 1.8809869375907113e-05, + "loss": 4.0137, + "step": 761 + }, + { + "epoch": 0.64, + "learning_rate": 1.8766328011611033e-05, + "loss": 4.1269, + "step": 762 + }, + { + "epoch": 0.64, + "learning_rate": 1.872278664731495e-05, + "loss": 4.1683, + "step": 763 + }, + { + "epoch": 0.64, + "learning_rate": 1.8679245283018867e-05, + "loss": 4.057, + "step": 764 + }, + { + "epoch": 0.64, + "learning_rate": 1.8635703918722787e-05, + "loss": 4.2914, + "step": 765 + }, + { + "epoch": 0.64, + "learning_rate": 1.8592162554426707e-05, + "loss": 4.1258, + "step": 766 + }, + { + "epoch": 0.64, + "learning_rate": 1.8548621190130624e-05, + "loss": 4.1764, + "step": 767 + }, + { + "epoch": 0.65, + "learning_rate": 1.8505079825834544e-05, + "loss": 3.9162, + "step": 768 + }, + { + "epoch": 0.65, + "learning_rate": 1.8461538461538465e-05, + "loss": 4.1707, + "step": 769 + }, + { + "epoch": 0.65, + "learning_rate": 1.8417997097242378e-05, + "loss": 4.3203, + "step": 770 + }, + { + "epoch": 0.65, + "learning_rate": 1.83744557329463e-05, + "loss": 3.8903, + "step": 771 + }, + { + "epoch": 0.65, + "learning_rate": 1.833091436865022e-05, + "loss": 4.2466, + "step": 772 + }, + { + "epoch": 0.65, + "learning_rate": 1.8287373004354136e-05, + "loss": 4.0481, + "step": 773 + }, + { + "epoch": 0.65, + "learning_rate": 1.8243831640058056e-05, + "loss": 4.0653, + "step": 774 + }, + { + "epoch": 0.65, + "learning_rate": 1.8200290275761976e-05, + "loss": 4.1995, + "step": 775 + }, + { + "epoch": 0.65, + "learning_rate": 1.8156748911465896e-05, + "loss": 4.1336, + "step": 776 + }, + { + "epoch": 0.65, + "learning_rate": 1.811320754716981e-05, + "loss": 4.1521, + "step": 777 + }, + { + "epoch": 0.65, + "learning_rate": 1.806966618287373e-05, + "loss": 4.1294, + "step": 778 + }, + { + "epoch": 0.65, + "learning_rate": 1.802612481857765e-05, + "loss": 4.023, + "step": 779 + }, + { + "epoch": 0.66, + "learning_rate": 1.7982583454281567e-05, + "loss": 4.2847, + "step": 780 + }, + { + "epoch": 0.66, + "learning_rate": 1.7939042089985487e-05, + "loss": 4.052, + "step": 781 + }, + { + "epoch": 0.66, + "learning_rate": 1.7895500725689408e-05, + "loss": 4.1232, + "step": 782 + }, + { + "epoch": 0.66, + "learning_rate": 1.7851959361393325e-05, + "loss": 3.9496, + "step": 783 + }, + { + "epoch": 0.66, + "learning_rate": 1.780841799709724e-05, + "loss": 4.2887, + "step": 784 + }, + { + "epoch": 0.66, + "learning_rate": 1.7764876632801162e-05, + "loss": 4.3544, + "step": 785 + }, + { + "epoch": 0.66, + "learning_rate": 1.772133526850508e-05, + "loss": 4.0901, + "step": 786 + }, + { + "epoch": 0.66, + "learning_rate": 1.7677793904209e-05, + "loss": 4.3868, + "step": 787 + }, + { + "epoch": 0.66, + "learning_rate": 1.763425253991292e-05, + "loss": 4.0689, + "step": 788 + }, + { + "epoch": 0.66, + "learning_rate": 1.7590711175616836e-05, + "loss": 4.0721, + "step": 789 + }, + { + "epoch": 0.66, + "learning_rate": 1.7547169811320753e-05, + "loss": 3.9722, + "step": 790 + }, + { + "epoch": 0.66, + "learning_rate": 1.7503628447024673e-05, + "loss": 4.5048, + "step": 791 + }, + { + "epoch": 0.67, + "learning_rate": 1.7460087082728593e-05, + "loss": 4.4479, + "step": 792 + }, + { + "epoch": 0.67, + "learning_rate": 1.741654571843251e-05, + "loss": 4.6251, + "step": 793 + }, + { + "epoch": 0.67, + "learning_rate": 1.737300435413643e-05, + "loss": 4.1257, + "step": 794 + }, + { + "epoch": 0.67, + "learning_rate": 1.732946298984035e-05, + "loss": 4.2497, + "step": 795 + }, + { + "epoch": 0.67, + "learning_rate": 1.7285921625544268e-05, + "loss": 3.9545, + "step": 796 + }, + { + "epoch": 0.67, + "learning_rate": 1.7242380261248185e-05, + "loss": 4.1237, + "step": 797 + }, + { + "epoch": 0.67, + "learning_rate": 1.7198838896952105e-05, + "loss": 4.4149, + "step": 798 + }, + { + "epoch": 0.67, + "learning_rate": 1.7155297532656022e-05, + "loss": 4.4912, + "step": 799 + }, + { + "epoch": 0.67, + "learning_rate": 1.7111756168359942e-05, + "loss": 4.2902, + "step": 800 + }, + { + "epoch": 0.67, + "learning_rate": 1.7068214804063862e-05, + "loss": 4.0741, + "step": 801 + }, + { + "epoch": 0.67, + "learning_rate": 1.702467343976778e-05, + "loss": 4.1417, + "step": 802 + }, + { + "epoch": 0.68, + "learning_rate": 1.69811320754717e-05, + "loss": 4.0497, + "step": 803 + }, + { + "epoch": 0.68, + "learning_rate": 1.6937590711175616e-05, + "loss": 4.1369, + "step": 804 + }, + { + "epoch": 0.68, + "learning_rate": 1.6894049346879537e-05, + "loss": 3.9978, + "step": 805 + }, + { + "epoch": 0.68, + "learning_rate": 1.6850507982583453e-05, + "loss": 4.1982, + "step": 806 + }, + { + "epoch": 0.68, + "learning_rate": 1.6806966618287374e-05, + "loss": 4.185, + "step": 807 + }, + { + "epoch": 0.68, + "learning_rate": 1.6763425253991294e-05, + "loss": 4.0565, + "step": 808 + }, + { + "epoch": 0.68, + "learning_rate": 1.671988388969521e-05, + "loss": 4.0964, + "step": 809 + }, + { + "epoch": 0.68, + "learning_rate": 1.667634252539913e-05, + "loss": 4.0345, + "step": 810 + }, + { + "epoch": 0.68, + "learning_rate": 1.6632801161103048e-05, + "loss": 4.1398, + "step": 811 + }, + { + "epoch": 0.68, + "learning_rate": 1.6589259796806965e-05, + "loss": 4.2538, + "step": 812 + }, + { + "epoch": 0.68, + "learning_rate": 1.6545718432510885e-05, + "loss": 4.1444, + "step": 813 + }, + { + "epoch": 0.68, + "learning_rate": 1.6502177068214805e-05, + "loss": 4.4523, + "step": 814 + }, + { + "epoch": 0.69, + "learning_rate": 1.6458635703918722e-05, + "loss": 4.1366, + "step": 815 + }, + { + "epoch": 0.69, + "learning_rate": 1.6415094339622643e-05, + "loss": 4.2139, + "step": 816 + }, + { + "epoch": 0.69, + "learning_rate": 1.6371552975326563e-05, + "loss": 4.0953, + "step": 817 + }, + { + "epoch": 0.69, + "learning_rate": 1.6328011611030476e-05, + "loss": 4.0001, + "step": 818 + }, + { + "epoch": 0.69, + "learning_rate": 1.6284470246734397e-05, + "loss": 4.0284, + "step": 819 + }, + { + "epoch": 0.69, + "learning_rate": 1.6240928882438317e-05, + "loss": 4.2043, + "step": 820 + }, + { + "epoch": 0.69, + "learning_rate": 1.6197387518142237e-05, + "loss": 4.1797, + "step": 821 + }, + { + "epoch": 0.69, + "learning_rate": 1.6153846153846154e-05, + "loss": 3.9392, + "step": 822 + }, + { + "epoch": 0.69, + "learning_rate": 1.6110304789550074e-05, + "loss": 4.218, + "step": 823 + }, + { + "epoch": 0.69, + "learning_rate": 1.6066763425253995e-05, + "loss": 4.4048, + "step": 824 + }, + { + "epoch": 0.69, + "learning_rate": 1.6023222060957908e-05, + "loss": 4.1203, + "step": 825 + }, + { + "epoch": 0.69, + "learning_rate": 1.5979680696661828e-05, + "loss": 4.4287, + "step": 826 + }, + { + "epoch": 0.7, + "learning_rate": 1.593613933236575e-05, + "loss": 4.1276, + "step": 827 + }, + { + "epoch": 0.7, + "learning_rate": 1.5892597968069665e-05, + "loss": 4.2576, + "step": 828 + }, + { + "epoch": 0.7, + "learning_rate": 1.5849056603773586e-05, + "loss": 4.0118, + "step": 829 + }, + { + "epoch": 0.7, + "learning_rate": 1.5805515239477506e-05, + "loss": 4.2405, + "step": 830 + }, + { + "epoch": 0.7, + "learning_rate": 1.5761973875181423e-05, + "loss": 4.1189, + "step": 831 + }, + { + "epoch": 0.7, + "learning_rate": 1.571843251088534e-05, + "loss": 4.1439, + "step": 832 + }, + { + "epoch": 0.7, + "learning_rate": 1.567489114658926e-05, + "loss": 3.9951, + "step": 833 + }, + { + "epoch": 0.7, + "learning_rate": 1.563134978229318e-05, + "loss": 4.2016, + "step": 834 + }, + { + "epoch": 0.7, + "learning_rate": 1.5587808417997097e-05, + "loss": 4.2312, + "step": 835 + }, + { + "epoch": 0.7, + "learning_rate": 1.5544267053701017e-05, + "loss": 4.3068, + "step": 836 + }, + { + "epoch": 0.7, + "learning_rate": 1.5500725689404938e-05, + "loss": 4.0535, + "step": 837 + }, + { + "epoch": 0.7, + "learning_rate": 1.5457184325108855e-05, + "loss": 3.9266, + "step": 838 + }, + { + "epoch": 0.71, + "learning_rate": 1.541364296081277e-05, + "loss": 4.2312, + "step": 839 + }, + { + "epoch": 0.71, + "learning_rate": 1.537010159651669e-05, + "loss": 3.9523, + "step": 840 + }, + { + "epoch": 0.71, + "learning_rate": 1.532656023222061e-05, + "loss": 4.2394, + "step": 841 + }, + { + "epoch": 0.71, + "learning_rate": 1.528301886792453e-05, + "loss": 4.2336, + "step": 842 + }, + { + "epoch": 0.71, + "learning_rate": 1.5239477503628449e-05, + "loss": 4.4971, + "step": 843 + }, + { + "epoch": 0.71, + "learning_rate": 1.5195936139332364e-05, + "loss": 4.3696, + "step": 844 + }, + { + "epoch": 0.71, + "learning_rate": 1.5152394775036285e-05, + "loss": 4.1565, + "step": 845 + }, + { + "epoch": 0.71, + "learning_rate": 1.5108853410740205e-05, + "loss": 4.0786, + "step": 846 + }, + { + "epoch": 0.71, + "learning_rate": 1.506531204644412e-05, + "loss": 4.4144, + "step": 847 + }, + { + "epoch": 0.71, + "learning_rate": 1.502177068214804e-05, + "loss": 3.9351, + "step": 848 + }, + { + "epoch": 0.71, + "learning_rate": 1.497822931785196e-05, + "loss": 4.4926, + "step": 849 + }, + { + "epoch": 0.71, + "learning_rate": 1.4934687953555879e-05, + "loss": 4.4327, + "step": 850 + }, + { + "epoch": 0.72, + "learning_rate": 1.4891146589259796e-05, + "loss": 4.2866, + "step": 851 + }, + { + "epoch": 0.72, + "learning_rate": 1.4847605224963716e-05, + "loss": 4.1438, + "step": 852 + }, + { + "epoch": 0.72, + "learning_rate": 1.4804063860667635e-05, + "loss": 4.2642, + "step": 853 + }, + { + "epoch": 0.72, + "learning_rate": 1.4760522496371553e-05, + "loss": 4.1644, + "step": 854 + }, + { + "epoch": 0.72, + "learning_rate": 1.4716981132075472e-05, + "loss": 4.1274, + "step": 855 + }, + { + "epoch": 0.72, + "learning_rate": 1.467343976777939e-05, + "loss": 4.1132, + "step": 856 + }, + { + "epoch": 0.72, + "learning_rate": 1.462989840348331e-05, + "loss": 4.1611, + "step": 857 + }, + { + "epoch": 0.72, + "learning_rate": 1.4586357039187228e-05, + "loss": 3.987, + "step": 858 + }, + { + "epoch": 0.72, + "learning_rate": 1.4542815674891146e-05, + "loss": 4.1212, + "step": 859 + }, + { + "epoch": 0.72, + "learning_rate": 1.4499274310595066e-05, + "loss": 4.1824, + "step": 860 + }, + { + "epoch": 0.72, + "learning_rate": 1.4455732946298983e-05, + "loss": 3.9273, + "step": 861 + }, + { + "epoch": 0.72, + "learning_rate": 1.4412191582002904e-05, + "loss": 4.2457, + "step": 862 + }, + { + "epoch": 0.73, + "learning_rate": 1.4368650217706822e-05, + "loss": 4.2206, + "step": 863 + }, + { + "epoch": 0.73, + "learning_rate": 1.432510885341074e-05, + "loss": 4.1049, + "step": 864 + }, + { + "epoch": 0.73, + "learning_rate": 1.428156748911466e-05, + "loss": 4.0865, + "step": 865 + }, + { + "epoch": 0.73, + "learning_rate": 1.4238026124818578e-05, + "loss": 4.0894, + "step": 866 + }, + { + "epoch": 0.73, + "learning_rate": 1.4194484760522498e-05, + "loss": 4.0147, + "step": 867 + }, + { + "epoch": 0.73, + "learning_rate": 1.4150943396226415e-05, + "loss": 4.1724, + "step": 868 + }, + { + "epoch": 0.73, + "learning_rate": 1.4107402031930334e-05, + "loss": 4.2902, + "step": 869 + }, + { + "epoch": 0.73, + "learning_rate": 1.4063860667634254e-05, + "loss": 3.8653, + "step": 870 + }, + { + "epoch": 0.73, + "learning_rate": 1.402031930333817e-05, + "loss": 3.8608, + "step": 871 + }, + { + "epoch": 0.73, + "learning_rate": 1.397677793904209e-05, + "loss": 4.0124, + "step": 872 + }, + { + "epoch": 0.73, + "learning_rate": 1.393323657474601e-05, + "loss": 4.1798, + "step": 873 + }, + { + "epoch": 0.73, + "learning_rate": 1.3889695210449928e-05, + "loss": 3.9899, + "step": 874 + }, + { + "epoch": 0.74, + "learning_rate": 1.3846153846153847e-05, + "loss": 4.1595, + "step": 875 + }, + { + "epoch": 0.74, + "learning_rate": 1.3802612481857765e-05, + "loss": 3.9731, + "step": 876 + }, + { + "epoch": 0.74, + "learning_rate": 1.3759071117561684e-05, + "loss": 3.9706, + "step": 877 + }, + { + "epoch": 0.74, + "learning_rate": 1.3715529753265602e-05, + "loss": 4.2816, + "step": 878 + }, + { + "epoch": 0.74, + "learning_rate": 1.3671988388969521e-05, + "loss": 4.0969, + "step": 879 + }, + { + "epoch": 0.74, + "learning_rate": 1.362844702467344e-05, + "loss": 4.3128, + "step": 880 + }, + { + "epoch": 0.74, + "learning_rate": 1.358490566037736e-05, + "loss": 3.9761, + "step": 881 + }, + { + "epoch": 0.74, + "learning_rate": 1.3541364296081277e-05, + "loss": 4.2406, + "step": 882 + }, + { + "epoch": 0.74, + "learning_rate": 1.3497822931785197e-05, + "loss": 4.1138, + "step": 883 + }, + { + "epoch": 0.74, + "learning_rate": 1.3454281567489116e-05, + "loss": 4.1666, + "step": 884 + }, + { + "epoch": 0.74, + "learning_rate": 1.3410740203193032e-05, + "loss": 4.0527, + "step": 885 + }, + { + "epoch": 0.74, + "learning_rate": 1.3367198838896953e-05, + "loss": 4.1166, + "step": 886 + }, + { + "epoch": 0.75, + "learning_rate": 1.3323657474600871e-05, + "loss": 4.3572, + "step": 887 + }, + { + "epoch": 0.75, + "learning_rate": 1.328011611030479e-05, + "loss": 4.2719, + "step": 888 + }, + { + "epoch": 0.75, + "learning_rate": 1.3236574746008708e-05, + "loss": 4.3508, + "step": 889 + }, + { + "epoch": 0.75, + "learning_rate": 1.3193033381712627e-05, + "loss": 4.3323, + "step": 890 + }, + { + "epoch": 0.75, + "learning_rate": 1.3149492017416547e-05, + "loss": 4.3149, + "step": 891 + }, + { + "epoch": 0.75, + "learning_rate": 1.3105950653120464e-05, + "loss": 4.197, + "step": 892 + }, + { + "epoch": 0.75, + "learning_rate": 1.3062409288824383e-05, + "loss": 4.1674, + "step": 893 + }, + { + "epoch": 0.75, + "learning_rate": 1.3018867924528303e-05, + "loss": 4.1212, + "step": 894 + }, + { + "epoch": 0.75, + "learning_rate": 1.2975326560232222e-05, + "loss": 4.238, + "step": 895 + }, + { + "epoch": 0.75, + "learning_rate": 1.2931785195936138e-05, + "loss": 4.2748, + "step": 896 + }, + { + "epoch": 0.75, + "learning_rate": 1.2888243831640059e-05, + "loss": 4.2855, + "step": 897 + }, + { + "epoch": 0.75, + "learning_rate": 1.2844702467343977e-05, + "loss": 4.1303, + "step": 898 + }, + { + "epoch": 0.76, + "learning_rate": 1.2801161103047896e-05, + "loss": 4.2541, + "step": 899 + }, + { + "epoch": 0.76, + "learning_rate": 1.2757619738751814e-05, + "loss": 4.3779, + "step": 900 + }, + { + "epoch": 0.76, + "learning_rate": 1.2714078374455733e-05, + "loss": 4.1411, + "step": 901 + }, + { + "epoch": 0.76, + "learning_rate": 1.2670537010159652e-05, + "loss": 4.2128, + "step": 902 + }, + { + "epoch": 0.76, + "learning_rate": 1.262699564586357e-05, + "loss": 4.1722, + "step": 903 + }, + { + "epoch": 0.76, + "learning_rate": 1.258345428156749e-05, + "loss": 4.2009, + "step": 904 + }, + { + "epoch": 0.76, + "learning_rate": 1.2539912917271409e-05, + "loss": 4.0748, + "step": 905 + }, + { + "epoch": 0.76, + "learning_rate": 1.2496371552975326e-05, + "loss": 4.2604, + "step": 906 + }, + { + "epoch": 0.76, + "learning_rate": 1.2452830188679246e-05, + "loss": 4.1866, + "step": 907 + }, + { + "epoch": 0.76, + "learning_rate": 1.2409288824383165e-05, + "loss": 4.475, + "step": 908 + }, + { + "epoch": 0.76, + "learning_rate": 1.2365747460087082e-05, + "loss": 4.1919, + "step": 909 + }, + { + "epoch": 0.77, + "learning_rate": 1.2322206095791002e-05, + "loss": 4.3414, + "step": 910 + }, + { + "epoch": 0.77, + "learning_rate": 1.227866473149492e-05, + "loss": 4.0319, + "step": 911 + }, + { + "epoch": 0.77, + "learning_rate": 1.223512336719884e-05, + "loss": 4.0561, + "step": 912 + }, + { + "epoch": 0.77, + "learning_rate": 1.2191582002902758e-05, + "loss": 4.1455, + "step": 913 + }, + { + "epoch": 0.77, + "learning_rate": 1.2148040638606676e-05, + "loss": 4.1583, + "step": 914 + }, + { + "epoch": 0.77, + "learning_rate": 1.2104499274310596e-05, + "loss": 4.2151, + "step": 915 + }, + { + "epoch": 0.77, + "learning_rate": 1.2060957910014513e-05, + "loss": 4.108, + "step": 916 + }, + { + "epoch": 0.77, + "learning_rate": 1.2017416545718432e-05, + "loss": 4.1194, + "step": 917 + }, + { + "epoch": 0.77, + "learning_rate": 1.1973875181422352e-05, + "loss": 4.0818, + "step": 918 + }, + { + "epoch": 0.77, + "learning_rate": 1.193033381712627e-05, + "loss": 4.3585, + "step": 919 + }, + { + "epoch": 0.77, + "learning_rate": 1.188679245283019e-05, + "loss": 4.2281, + "step": 920 + }, + { + "epoch": 0.77, + "learning_rate": 1.1843251088534108e-05, + "loss": 4.0967, + "step": 921 + }, + { + "epoch": 0.78, + "learning_rate": 1.1799709724238026e-05, + "loss": 4.2058, + "step": 922 + }, + { + "epoch": 0.78, + "learning_rate": 1.1756168359941945e-05, + "loss": 4.0207, + "step": 923 + }, + { + "epoch": 0.78, + "learning_rate": 1.1712626995645864e-05, + "loss": 4.0735, + "step": 924 + }, + { + "epoch": 0.78, + "learning_rate": 1.1669085631349782e-05, + "loss": 3.9778, + "step": 925 + }, + { + "epoch": 0.78, + "learning_rate": 1.1625544267053702e-05, + "loss": 4.0005, + "step": 926 + }, + { + "epoch": 0.78, + "learning_rate": 1.158200290275762e-05, + "loss": 4.1877, + "step": 927 + }, + { + "epoch": 0.78, + "learning_rate": 1.153846153846154e-05, + "loss": 4.223, + "step": 928 + }, + { + "epoch": 0.78, + "learning_rate": 1.1494920174165458e-05, + "loss": 4.0355, + "step": 929 + }, + { + "epoch": 0.78, + "learning_rate": 1.1451378809869375e-05, + "loss": 3.9679, + "step": 930 + }, + { + "epoch": 0.78, + "learning_rate": 1.1407837445573295e-05, + "loss": 4.2022, + "step": 931 + }, + { + "epoch": 0.78, + "learning_rate": 1.1364296081277214e-05, + "loss": 4.2689, + "step": 932 + }, + { + "epoch": 0.78, + "learning_rate": 1.1320754716981132e-05, + "loss": 4.1395, + "step": 933 + }, + { + "epoch": 0.79, + "learning_rate": 1.1277213352685051e-05, + "loss": 4.2064, + "step": 934 + }, + { + "epoch": 0.79, + "learning_rate": 1.123367198838897e-05, + "loss": 4.2839, + "step": 935 + }, + { + "epoch": 0.79, + "learning_rate": 1.119013062409289e-05, + "loss": 4.2356, + "step": 936 + }, + { + "epoch": 0.79, + "learning_rate": 1.1146589259796807e-05, + "loss": 4.1739, + "step": 937 + }, + { + "epoch": 0.79, + "learning_rate": 1.1103047895500725e-05, + "loss": 4.269, + "step": 938 + }, + { + "epoch": 0.79, + "learning_rate": 1.1059506531204646e-05, + "loss": 4.1956, + "step": 939 + }, + { + "epoch": 0.79, + "learning_rate": 1.1015965166908562e-05, + "loss": 4.1559, + "step": 940 + }, + { + "epoch": 0.79, + "learning_rate": 1.0972423802612483e-05, + "loss": 3.997, + "step": 941 + }, + { + "epoch": 0.79, + "learning_rate": 1.0928882438316401e-05, + "loss": 4.2529, + "step": 942 + }, + { + "epoch": 0.79, + "learning_rate": 1.088534107402032e-05, + "loss": 4.0163, + "step": 943 + }, + { + "epoch": 0.79, + "learning_rate": 1.0841799709724238e-05, + "loss": 4.2044, + "step": 944 + }, + { + "epoch": 0.79, + "learning_rate": 1.0798258345428157e-05, + "loss": 4.3213, + "step": 945 + }, + { + "epoch": 0.8, + "learning_rate": 1.0754716981132076e-05, + "loss": 4.0306, + "step": 946 + }, + { + "epoch": 0.8, + "learning_rate": 1.0711175616835994e-05, + "loss": 4.2202, + "step": 947 + }, + { + "epoch": 0.8, + "learning_rate": 1.0667634252539913e-05, + "loss": 4.3561, + "step": 948 + }, + { + "epoch": 0.8, + "learning_rate": 1.0624092888243833e-05, + "loss": 4.3484, + "step": 949 + }, + { + "epoch": 0.8, + "learning_rate": 1.0580551523947752e-05, + "loss": 4.1115, + "step": 950 + }, + { + "epoch": 0.8, + "learning_rate": 1.0537010159651668e-05, + "loss": 4.0041, + "step": 951 + }, + { + "epoch": 0.8, + "learning_rate": 1.0493468795355589e-05, + "loss": 4.2221, + "step": 952 + }, + { + "epoch": 0.8, + "learning_rate": 1.0449927431059507e-05, + "loss": 3.9924, + "step": 953 + }, + { + "epoch": 0.8, + "learning_rate": 1.0406386066763424e-05, + "loss": 3.8731, + "step": 954 + }, + { + "epoch": 0.8, + "learning_rate": 1.0362844702467344e-05, + "loss": 4.0766, + "step": 955 + }, + { + "epoch": 0.8, + "learning_rate": 1.0319303338171263e-05, + "loss": 4.2045, + "step": 956 + }, + { + "epoch": 0.8, + "learning_rate": 1.0275761973875182e-05, + "loss": 4.2499, + "step": 957 + }, + { + "epoch": 0.81, + "learning_rate": 1.02322206095791e-05, + "loss": 4.0216, + "step": 958 + }, + { + "epoch": 0.81, + "learning_rate": 1.0188679245283019e-05, + "loss": 4.1061, + "step": 959 + }, + { + "epoch": 0.81, + "learning_rate": 1.0145137880986939e-05, + "loss": 4.0627, + "step": 960 + }, + { + "epoch": 0.81, + "learning_rate": 1.0101596516690856e-05, + "loss": 4.0515, + "step": 961 + }, + { + "epoch": 0.81, + "learning_rate": 1.0058055152394774e-05, + "loss": 4.1712, + "step": 962 + }, + { + "epoch": 0.81, + "learning_rate": 1.0014513788098695e-05, + "loss": 3.948, + "step": 963 + }, + { + "epoch": 0.81, + "learning_rate": 9.970972423802612e-06, + "loss": 4.2556, + "step": 964 + }, + { + "epoch": 0.81, + "learning_rate": 9.927431059506532e-06, + "loss": 4.265, + "step": 965 + }, + { + "epoch": 0.81, + "learning_rate": 9.88388969521045e-06, + "loss": 3.9826, + "step": 966 + }, + { + "epoch": 0.81, + "learning_rate": 9.840348330914369e-06, + "loss": 4.1475, + "step": 967 + }, + { + "epoch": 0.81, + "learning_rate": 9.796806966618287e-06, + "loss": 4.2088, + "step": 968 + }, + { + "epoch": 0.81, + "learning_rate": 9.753265602322206e-06, + "loss": 3.8011, + "step": 969 + }, + { + "epoch": 0.82, + "learning_rate": 9.709724238026126e-06, + "loss": 4.0959, + "step": 970 + }, + { + "epoch": 0.82, + "learning_rate": 9.666182873730043e-06, + "loss": 3.961, + "step": 971 + }, + { + "epoch": 0.82, + "learning_rate": 9.622641509433962e-06, + "loss": 3.9991, + "step": 972 + }, + { + "epoch": 0.82, + "learning_rate": 9.579100145137882e-06, + "loss": 4.1277, + "step": 973 + }, + { + "epoch": 0.82, + "learning_rate": 9.5355587808418e-06, + "loss": 4.0237, + "step": 974 + }, + { + "epoch": 0.82, + "learning_rate": 9.492017416545717e-06, + "loss": 4.1151, + "step": 975 + }, + { + "epoch": 0.82, + "learning_rate": 9.448476052249638e-06, + "loss": 4.1315, + "step": 976 + }, + { + "epoch": 0.82, + "learning_rate": 9.404934687953556e-06, + "loss": 3.9966, + "step": 977 + }, + { + "epoch": 0.82, + "learning_rate": 9.361393323657475e-06, + "loss": 4.1165, + "step": 978 + }, + { + "epoch": 0.82, + "learning_rate": 9.317851959361393e-06, + "loss": 4.014, + "step": 979 + }, + { + "epoch": 0.82, + "learning_rate": 9.274310595065312e-06, + "loss": 4.1335, + "step": 980 + }, + { + "epoch": 0.82, + "learning_rate": 9.230769230769232e-06, + "loss": 4.3056, + "step": 981 + }, + { + "epoch": 0.83, + "learning_rate": 9.18722786647315e-06, + "loss": 4.2319, + "step": 982 + }, + { + "epoch": 0.83, + "learning_rate": 9.143686502177068e-06, + "loss": 4.0098, + "step": 983 + }, + { + "epoch": 0.83, + "learning_rate": 9.100145137880988e-06, + "loss": 4.2086, + "step": 984 + }, + { + "epoch": 0.83, + "learning_rate": 9.056603773584905e-06, + "loss": 3.9627, + "step": 985 + }, + { + "epoch": 0.83, + "learning_rate": 9.013062409288825e-06, + "loss": 4.0762, + "step": 986 + }, + { + "epoch": 0.83, + "learning_rate": 8.969521044992744e-06, + "loss": 4.2008, + "step": 987 + }, + { + "epoch": 0.83, + "learning_rate": 8.925979680696662e-06, + "loss": 4.0906, + "step": 988 + }, + { + "epoch": 0.83, + "learning_rate": 8.882438316400581e-06, + "loss": 4.139, + "step": 989 + }, + { + "epoch": 0.83, + "learning_rate": 8.8388969521045e-06, + "loss": 4.1577, + "step": 990 + }, + { + "epoch": 0.83, + "learning_rate": 8.795355587808418e-06, + "loss": 4.2921, + "step": 991 + }, + { + "epoch": 0.83, + "learning_rate": 8.751814223512337e-06, + "loss": 4.0552, + "step": 992 + }, + { + "epoch": 0.83, + "learning_rate": 8.708272859216255e-06, + "loss": 3.8965, + "step": 993 + }, + { + "epoch": 0.84, + "learning_rate": 8.664731494920175e-06, + "loss": 4.1591, + "step": 994 + }, + { + "epoch": 0.84, + "learning_rate": 8.621190130624092e-06, + "loss": 4.2888, + "step": 995 + }, + { + "epoch": 0.84, + "learning_rate": 8.577648766328011e-06, + "loss": 4.6172, + "step": 996 + }, + { + "epoch": 0.84, + "learning_rate": 8.534107402031931e-06, + "loss": 4.3232, + "step": 997 + }, + { + "epoch": 0.84, + "learning_rate": 8.49056603773585e-06, + "loss": 4.2875, + "step": 998 + }, + { + "epoch": 0.84, + "learning_rate": 8.447024673439768e-06, + "loss": 4.3191, + "step": 999 + }, + { + "epoch": 0.84, + "learning_rate": 8.403483309143687e-06, + "loss": 4.4804, + "step": 1000 + }, + { + "epoch": 0.84, + "eval_loss": 4.192998886108398, + "eval_runtime": 786.9912, + "eval_samples_per_second": 3.357, + "eval_steps_per_second": 0.281, + "eval_wer": 1.903669178897263, + "step": 1000 + }, + { + "epoch": 0.84, + "learning_rate": 8.359941944847605e-06, + "loss": 4.2412, + "step": 1001 + }, + { + "epoch": 0.84, + "learning_rate": 8.316400580551524e-06, + "loss": 4.1815, + "step": 1002 + }, + { + "epoch": 0.84, + "learning_rate": 8.272859216255443e-06, + "loss": 4.1036, + "step": 1003 + }, + { + "epoch": 0.84, + "learning_rate": 8.229317851959361e-06, + "loss": 4.1248, + "step": 1004 + }, + { + "epoch": 0.84, + "learning_rate": 8.185776487663281e-06, + "loss": 4.2296, + "step": 1005 + }, + { + "epoch": 0.85, + "learning_rate": 8.142235123367198e-06, + "loss": 4.0708, + "step": 1006 + }, + { + "epoch": 0.85, + "learning_rate": 8.098693759071119e-06, + "loss": 4.0667, + "step": 1007 + }, + { + "epoch": 0.85, + "learning_rate": 8.055152394775037e-06, + "loss": 4.0618, + "step": 1008 + }, + { + "epoch": 0.85, + "learning_rate": 8.011611030478954e-06, + "loss": 4.0827, + "step": 1009 + }, + { + "epoch": 0.85, + "learning_rate": 7.968069666182874e-06, + "loss": 4.0883, + "step": 1010 + }, + { + "epoch": 0.85, + "learning_rate": 7.924528301886793e-06, + "loss": 4.0383, + "step": 1011 + }, + { + "epoch": 0.85, + "learning_rate": 7.880986937590711e-06, + "loss": 4.1827, + "step": 1012 + }, + { + "epoch": 0.85, + "learning_rate": 7.83744557329463e-06, + "loss": 3.999, + "step": 1013 + }, + { + "epoch": 0.85, + "learning_rate": 7.793904208998549e-06, + "loss": 4.0975, + "step": 1014 + }, + { + "epoch": 0.85, + "learning_rate": 7.750362844702469e-06, + "loss": 4.1168, + "step": 1015 + }, + { + "epoch": 0.85, + "learning_rate": 7.706821480406386e-06, + "loss": 4.2072, + "step": 1016 + }, + { + "epoch": 0.85, + "learning_rate": 7.663280116110304e-06, + "loss": 4.0171, + "step": 1017 + }, + { + "epoch": 0.86, + "learning_rate": 7.6197387518142245e-06, + "loss": 4.277, + "step": 1018 + }, + { + "epoch": 0.86, + "learning_rate": 7.576197387518142e-06, + "loss": 4.2476, + "step": 1019 + }, + { + "epoch": 0.86, + "learning_rate": 7.53265602322206e-06, + "loss": 3.9786, + "step": 1020 + }, + { + "epoch": 0.86, + "learning_rate": 7.48911465892598e-06, + "loss": 4.0455, + "step": 1021 + }, + { + "epoch": 0.86, + "learning_rate": 7.445573294629898e-06, + "loss": 4.3022, + "step": 1022 + }, + { + "epoch": 0.86, + "learning_rate": 7.402031930333817e-06, + "loss": 4.2723, + "step": 1023 + }, + { + "epoch": 0.86, + "learning_rate": 7.358490566037736e-06, + "loss": 3.9124, + "step": 1024 + }, + { + "epoch": 0.86, + "learning_rate": 7.314949201741655e-06, + "loss": 4.0956, + "step": 1025 + }, + { + "epoch": 0.86, + "learning_rate": 7.271407837445573e-06, + "loss": 3.9983, + "step": 1026 + }, + { + "epoch": 0.86, + "learning_rate": 7.227866473149492e-06, + "loss": 4.1068, + "step": 1027 + }, + { + "epoch": 0.86, + "learning_rate": 7.184325108853411e-06, + "loss": 4.0294, + "step": 1028 + }, + { + "epoch": 0.87, + "learning_rate": 7.14078374455733e-06, + "loss": 3.9695, + "step": 1029 + }, + { + "epoch": 0.87, + "learning_rate": 7.097242380261249e-06, + "loss": 3.8736, + "step": 1030 + }, + { + "epoch": 0.87, + "learning_rate": 7.053701015965167e-06, + "loss": 4.1041, + "step": 1031 + }, + { + "epoch": 0.87, + "learning_rate": 7.010159651669085e-06, + "loss": 4.0364, + "step": 1032 + }, + { + "epoch": 0.87, + "learning_rate": 6.966618287373005e-06, + "loss": 4.091, + "step": 1033 + }, + { + "epoch": 0.87, + "learning_rate": 6.923076923076923e-06, + "loss": 3.9847, + "step": 1034 + }, + { + "epoch": 0.87, + "learning_rate": 6.879535558780842e-06, + "loss": 3.9737, + "step": 1035 + }, + { + "epoch": 0.87, + "learning_rate": 6.8359941944847605e-06, + "loss": 3.9495, + "step": 1036 + }, + { + "epoch": 0.87, + "learning_rate": 6.79245283018868e-06, + "loss": 4.0117, + "step": 1037 + }, + { + "epoch": 0.87, + "learning_rate": 6.7489114658925985e-06, + "loss": 4.3146, + "step": 1038 + }, + { + "epoch": 0.87, + "learning_rate": 6.705370101596516e-06, + "loss": 4.0996, + "step": 1039 + }, + { + "epoch": 0.87, + "learning_rate": 6.661828737300436e-06, + "loss": 4.0728, + "step": 1040 + }, + { + "epoch": 0.88, + "learning_rate": 6.618287373004354e-06, + "loss": 4.2033, + "step": 1041 + }, + { + "epoch": 0.88, + "learning_rate": 6.574746008708274e-06, + "loss": 4.0457, + "step": 1042 + }, + { + "epoch": 0.88, + "learning_rate": 6.531204644412191e-06, + "loss": 4.0855, + "step": 1043 + }, + { + "epoch": 0.88, + "learning_rate": 6.487663280116111e-06, + "loss": 4.2396, + "step": 1044 + }, + { + "epoch": 0.88, + "learning_rate": 6.444121915820029e-06, + "loss": 4.2983, + "step": 1045 + }, + { + "epoch": 0.88, + "learning_rate": 6.400580551523948e-06, + "loss": 4.0847, + "step": 1046 + }, + { + "epoch": 0.88, + "learning_rate": 6.3570391872278665e-06, + "loss": 4.1117, + "step": 1047 + }, + { + "epoch": 0.88, + "learning_rate": 6.313497822931785e-06, + "loss": 4.3389, + "step": 1048 + }, + { + "epoch": 0.88, + "learning_rate": 6.2699564586357045e-06, + "loss": 4.6018, + "step": 1049 + }, + { + "epoch": 0.88, + "learning_rate": 6.226415094339623e-06, + "loss": 4.3337, + "step": 1050 + }, + { + "epoch": 0.88, + "learning_rate": 6.182873730043541e-06, + "loss": 4.1061, + "step": 1051 + }, + { + "epoch": 0.88, + "learning_rate": 6.13933236574746e-06, + "loss": 4.0278, + "step": 1052 + }, + { + "epoch": 0.89, + "learning_rate": 6.095791001451379e-06, + "loss": 4.0041, + "step": 1053 + }, + { + "epoch": 0.89, + "learning_rate": 6.052249637155298e-06, + "loss": 4.117, + "step": 1054 + }, + { + "epoch": 0.89, + "learning_rate": 6.008708272859216e-06, + "loss": 4.1773, + "step": 1055 + }, + { + "epoch": 0.89, + "learning_rate": 5.965166908563135e-06, + "loss": 4.2456, + "step": 1056 + }, + { + "epoch": 0.89, + "learning_rate": 5.921625544267054e-06, + "loss": 4.2032, + "step": 1057 + }, + { + "epoch": 0.89, + "learning_rate": 5.8780841799709725e-06, + "loss": 3.9239, + "step": 1058 + }, + { + "epoch": 0.89, + "learning_rate": 5.834542815674891e-06, + "loss": 4.193, + "step": 1059 + }, + { + "epoch": 0.89, + "learning_rate": 5.79100145137881e-06, + "loss": 4.1571, + "step": 1060 + }, + { + "epoch": 0.89, + "learning_rate": 5.747460087082729e-06, + "loss": 4.2011, + "step": 1061 + }, + { + "epoch": 0.89, + "learning_rate": 5.703918722786648e-06, + "loss": 4.0113, + "step": 1062 + }, + { + "epoch": 0.89, + "learning_rate": 5.660377358490566e-06, + "loss": 4.1774, + "step": 1063 + }, + { + "epoch": 0.89, + "learning_rate": 5.616835994194485e-06, + "loss": 3.9938, + "step": 1064 + }, + { + "epoch": 0.9, + "learning_rate": 5.573294629898403e-06, + "loss": 3.8992, + "step": 1065 + }, + { + "epoch": 0.9, + "learning_rate": 5.529753265602323e-06, + "loss": 4.0046, + "step": 1066 + }, + { + "epoch": 0.9, + "learning_rate": 5.486211901306241e-06, + "loss": 4.0542, + "step": 1067 + }, + { + "epoch": 0.9, + "learning_rate": 5.44267053701016e-06, + "loss": 4.0333, + "step": 1068 + }, + { + "epoch": 0.9, + "learning_rate": 5.3991291727140785e-06, + "loss": 4.0606, + "step": 1069 + }, + { + "epoch": 0.9, + "learning_rate": 5.355587808417997e-06, + "loss": 4.261, + "step": 1070 + }, + { + "epoch": 0.9, + "learning_rate": 5.3120464441219165e-06, + "loss": 4.0941, + "step": 1071 + }, + { + "epoch": 0.9, + "learning_rate": 5.268505079825834e-06, + "loss": 4.0718, + "step": 1072 + }, + { + "epoch": 0.9, + "learning_rate": 5.224963715529754e-06, + "loss": 3.8236, + "step": 1073 + }, + { + "epoch": 0.9, + "learning_rate": 5.181422351233672e-06, + "loss": 3.9818, + "step": 1074 + }, + { + "epoch": 0.9, + "learning_rate": 5.137880986937591e-06, + "loss": 3.9589, + "step": 1075 + }, + { + "epoch": 0.9, + "learning_rate": 5.094339622641509e-06, + "loss": 4.0444, + "step": 1076 + }, + { + "epoch": 0.91, + "learning_rate": 5.050798258345428e-06, + "loss": 4.4012, + "step": 1077 + }, + { + "epoch": 0.91, + "learning_rate": 5.007256894049347e-06, + "loss": 4.1033, + "step": 1078 + }, + { + "epoch": 0.91, + "learning_rate": 4.963715529753266e-06, + "loss": 4.1105, + "step": 1079 + }, + { + "epoch": 0.91, + "learning_rate": 4.9201741654571845e-06, + "loss": 3.9048, + "step": 1080 + }, + { + "epoch": 0.91, + "learning_rate": 4.876632801161103e-06, + "loss": 4.2026, + "step": 1081 + }, + { + "epoch": 0.91, + "learning_rate": 4.833091436865022e-06, + "loss": 4.1863, + "step": 1082 + }, + { + "epoch": 0.91, + "learning_rate": 4.789550072568941e-06, + "loss": 4.0533, + "step": 1083 + }, + { + "epoch": 0.91, + "learning_rate": 4.746008708272859e-06, + "loss": 4.0973, + "step": 1084 + }, + { + "epoch": 0.91, + "learning_rate": 4.702467343976778e-06, + "loss": 4.1554, + "step": 1085 + }, + { + "epoch": 0.91, + "learning_rate": 4.658925979680697e-06, + "loss": 4.0183, + "step": 1086 + }, + { + "epoch": 0.91, + "learning_rate": 4.615384615384616e-06, + "loss": 4.1119, + "step": 1087 + }, + { + "epoch": 0.91, + "learning_rate": 4.571843251088534e-06, + "loss": 4.0165, + "step": 1088 + }, + { + "epoch": 0.92, + "learning_rate": 4.5283018867924524e-06, + "loss": 4.0389, + "step": 1089 + }, + { + "epoch": 0.92, + "learning_rate": 4.484760522496372e-06, + "loss": 4.0758, + "step": 1090 + }, + { + "epoch": 0.92, + "learning_rate": 4.4412191582002904e-06, + "loss": 4.0803, + "step": 1091 + }, + { + "epoch": 0.92, + "learning_rate": 4.397677793904209e-06, + "loss": 4.0622, + "step": 1092 + }, + { + "epoch": 0.92, + "learning_rate": 4.354136429608128e-06, + "loss": 4.0949, + "step": 1093 + }, + { + "epoch": 0.92, + "learning_rate": 4.310595065312046e-06, + "loss": 4.1664, + "step": 1094 + }, + { + "epoch": 0.92, + "learning_rate": 4.2670537010159656e-06, + "loss": 4.1606, + "step": 1095 + }, + { + "epoch": 0.92, + "learning_rate": 4.223512336719884e-06, + "loss": 4.6159, + "step": 1096 + }, + { + "epoch": 0.92, + "learning_rate": 4.179970972423803e-06, + "loss": 4.3542, + "step": 1097 + }, + { + "epoch": 0.92, + "learning_rate": 4.136429608127721e-06, + "loss": 4.4235, + "step": 1098 + }, + { + "epoch": 0.92, + "learning_rate": 4.092888243831641e-06, + "loss": 4.5862, + "step": 1099 + }, + { + "epoch": 0.92, + "learning_rate": 4.049346879535559e-06, + "loss": 4.2408, + "step": 1100 + }, + { + "epoch": 0.93, + "learning_rate": 4.005805515239477e-06, + "loss": 4.3313, + "step": 1101 + }, + { + "epoch": 0.93, + "learning_rate": 3.962264150943396e-06, + "loss": 4.1019, + "step": 1102 + }, + { + "epoch": 0.93, + "learning_rate": 3.918722786647315e-06, + "loss": 4.0683, + "step": 1103 + }, + { + "epoch": 0.93, + "learning_rate": 3.875181422351234e-06, + "loss": 3.9354, + "step": 1104 + }, + { + "epoch": 0.93, + "learning_rate": 3.831640058055152e-06, + "loss": 4.0619, + "step": 1105 + }, + { + "epoch": 0.93, + "learning_rate": 3.788098693759071e-06, + "loss": 3.9154, + "step": 1106 + }, + { + "epoch": 0.93, + "learning_rate": 3.74455732946299e-06, + "loss": 4.4415, + "step": 1107 + }, + { + "epoch": 0.93, + "learning_rate": 3.7010159651669087e-06, + "loss": 4.2145, + "step": 1108 + }, + { + "epoch": 0.93, + "learning_rate": 3.6574746008708277e-06, + "loss": 4.1533, + "step": 1109 + }, + { + "epoch": 0.93, + "learning_rate": 3.613933236574746e-06, + "loss": 4.0206, + "step": 1110 + }, + { + "epoch": 0.93, + "learning_rate": 3.570391872278665e-06, + "loss": 4.0455, + "step": 1111 + }, + { + "epoch": 0.93, + "learning_rate": 3.5268505079825834e-06, + "loss": 4.3857, + "step": 1112 + }, + { + "epoch": 0.94, + "learning_rate": 3.4833091436865024e-06, + "loss": 4.1454, + "step": 1113 + }, + { + "epoch": 0.94, + "learning_rate": 3.439767779390421e-06, + "loss": 3.8138, + "step": 1114 + }, + { + "epoch": 0.94, + "learning_rate": 3.39622641509434e-06, + "loss": 4.1425, + "step": 1115 + }, + { + "epoch": 0.94, + "learning_rate": 3.352685050798258e-06, + "loss": 4.2171, + "step": 1116 + }, + { + "epoch": 0.94, + "learning_rate": 3.309143686502177e-06, + "loss": 4.2071, + "step": 1117 + }, + { + "epoch": 0.94, + "learning_rate": 3.2656023222060957e-06, + "loss": 3.9879, + "step": 1118 + }, + { + "epoch": 0.94, + "learning_rate": 3.2220609579100147e-06, + "loss": 3.8181, + "step": 1119 + }, + { + "epoch": 0.94, + "learning_rate": 3.1785195936139333e-06, + "loss": 4.1376, + "step": 1120 + }, + { + "epoch": 0.94, + "learning_rate": 3.1349782293178522e-06, + "loss": 4.1359, + "step": 1121 + }, + { + "epoch": 0.94, + "learning_rate": 3.0914368650217704e-06, + "loss": 4.2224, + "step": 1122 + }, + { + "epoch": 0.94, + "learning_rate": 3.0478955007256894e-06, + "loss": 3.9595, + "step": 1123 + }, + { + "epoch": 0.94, + "learning_rate": 3.004354136429608e-06, + "loss": 4.1257, + "step": 1124 }, { "epoch": 0.95, - "learning_rate": 2.526e-05, - "loss": 4.1369, - "step": 423 + "learning_rate": 2.960812772133527e-06, + "loss": 4.3169, + "step": 1125 }, { "epoch": 0.95, - "learning_rate": 2.5319999999999998e-05, - "loss": 4.1978, - "step": 424 + "learning_rate": 2.9172714078374455e-06, + "loss": 4.1508, + "step": 1126 }, { "epoch": 0.95, - "learning_rate": 2.538e-05, - "loss": 4.1363, - "step": 425 + "learning_rate": 2.8737300435413645e-06, + "loss": 4.2589, + "step": 1127 + }, + { + "epoch": 0.95, + "learning_rate": 2.830188679245283e-06, + "loss": 4.0514, + "step": 1128 + }, + { + "epoch": 0.95, + "learning_rate": 2.7866473149492017e-06, + "loss": 4.1067, + "step": 1129 + }, + { + "epoch": 0.95, + "learning_rate": 2.7431059506531207e-06, + "loss": 4.1904, + "step": 1130 + }, + { + "epoch": 0.95, + "learning_rate": 2.6995645863570392e-06, + "loss": 3.8716, + "step": 1131 + }, + { + "epoch": 0.95, + "learning_rate": 2.6560232220609582e-06, + "loss": 3.939, + "step": 1132 + }, + { + "epoch": 0.95, + "learning_rate": 2.612481857764877e-06, + "loss": 4.2239, + "step": 1133 + }, + { + "epoch": 0.95, + "learning_rate": 2.5689404934687954e-06, + "loss": 4.1028, + "step": 1134 + }, + { + "epoch": 0.95, + "learning_rate": 2.525399129172714e-06, + "loss": 4.2637, + "step": 1135 }, { "epoch": 0.96, - "learning_rate": 2.544e-05, - "loss": 4.1793, - "step": 426 + "learning_rate": 2.481857764876633e-06, + "loss": 4.0135, + "step": 1136 }, { "epoch": 0.96, - "learning_rate": 2.55e-05, - "loss": 4.1114, - "step": 427 + "learning_rate": 2.4383164005805515e-06, + "loss": 4.0396, + "step": 1137 }, { "epoch": 0.96, - "learning_rate": 2.556e-05, - "loss": 4.1015, - "step": 428 + "learning_rate": 2.3947750362844705e-06, + "loss": 4.0986, + "step": 1138 }, { "epoch": 0.96, - "learning_rate": 2.562e-05, - "loss": 4.0305, - "step": 429 + "learning_rate": 2.351233671988389e-06, + "loss": 4.0424, + "step": 1139 }, { "epoch": 0.96, - "learning_rate": 2.568e-05, - "loss": 4.1179, - "step": 430 + "learning_rate": 2.307692307692308e-06, + "loss": 3.9483, + "step": 1140 + }, + { + "epoch": 0.96, + "learning_rate": 2.2641509433962262e-06, + "loss": 4.3512, + "step": 1141 + }, + { + "epoch": 0.96, + "learning_rate": 2.2206095791001452e-06, + "loss": 4.0812, + "step": 1142 + }, + { + "epoch": 0.96, + "learning_rate": 2.177068214804064e-06, + "loss": 4.2587, + "step": 1143 + }, + { + "epoch": 0.96, + "learning_rate": 2.1335268505079828e-06, + "loss": 4.3133, + "step": 1144 + }, + { + "epoch": 0.96, + "learning_rate": 2.0899854862119014e-06, + "loss": 4.1824, + "step": 1145 + }, + { + "epoch": 0.96, + "learning_rate": 2.0464441219158204e-06, + "loss": 4.3971, + "step": 1146 + }, + { + "epoch": 0.96, + "learning_rate": 2.0029027576197385e-06, + "loss": 4.7171, + "step": 1147 }, { "epoch": 0.97, - "learning_rate": 2.574e-05, - "loss": 4.1957, - "step": 431 + "learning_rate": 1.9593613933236575e-06, + "loss": 4.3438, + "step": 1148 }, { "epoch": 0.97, - "learning_rate": 2.58e-05, - "loss": 4.3161, - "step": 432 + "learning_rate": 1.915820029027576e-06, + "loss": 4.5947, + "step": 1149 }, { "epoch": 0.97, - "learning_rate": 2.586e-05, - "loss": 4.1238, - "step": 433 + "learning_rate": 1.872278664731495e-06, + "loss": 4.2554, + "step": 1150 }, { "epoch": 0.97, - "learning_rate": 2.592e-05, - "loss": 4.1152, - "step": 434 + "learning_rate": 1.8287373004354138e-06, + "loss": 4.0357, + "step": 1151 + }, + { + "epoch": 0.97, + "learning_rate": 1.7851959361393324e-06, + "loss": 3.9277, + "step": 1152 + }, + { + "epoch": 0.97, + "learning_rate": 1.7416545718432512e-06, + "loss": 3.9927, + "step": 1153 + }, + { + "epoch": 0.97, + "learning_rate": 1.69811320754717e-06, + "loss": 3.9426, + "step": 1154 + }, + { + "epoch": 0.97, + "learning_rate": 1.6545718432510886e-06, + "loss": 4.0832, + "step": 1155 + }, + { + "epoch": 0.97, + "learning_rate": 1.6110304789550073e-06, + "loss": 4.1312, + "step": 1156 + }, + { + "epoch": 0.97, + "learning_rate": 1.5674891146589261e-06, + "loss": 4.0275, + "step": 1157 + }, + { + "epoch": 0.97, + "learning_rate": 1.5239477503628447e-06, + "loss": 4.0904, + "step": 1158 + }, + { + "epoch": 0.97, + "learning_rate": 1.4804063860667635e-06, + "loss": 3.9514, + "step": 1159 }, { "epoch": 0.98, - "learning_rate": 2.5980000000000002e-05, - "loss": 4.1593, - "step": 435 + "learning_rate": 1.4368650217706823e-06, + "loss": 4.1812, + "step": 1160 }, { "epoch": 0.98, - "learning_rate": 2.604e-05, - "loss": 4.0797, - "step": 436 + "learning_rate": 1.3933236574746008e-06, + "loss": 3.9168, + "step": 1161 }, { "epoch": 0.98, - "learning_rate": 2.61e-05, - "loss": 4.0625, - "step": 437 + "learning_rate": 1.3497822931785196e-06, + "loss": 4.1842, + "step": 1162 }, { "epoch": 0.98, - "learning_rate": 2.616e-05, - "loss": 4.2553, - "step": 438 + "learning_rate": 1.3062409288824384e-06, + "loss": 4.2224, + "step": 1163 }, { "epoch": 0.98, - "learning_rate": 2.622e-05, - "loss": 4.1998, - "step": 439 + "learning_rate": 1.262699564586357e-06, + "loss": 3.9669, + "step": 1164 + }, + { + "epoch": 0.98, + "learning_rate": 1.2191582002902758e-06, + "loss": 4.0835, + "step": 1165 + }, + { + "epoch": 0.98, + "learning_rate": 1.1756168359941945e-06, + "loss": 4.19, + "step": 1166 + }, + { + "epoch": 0.98, + "learning_rate": 1.1320754716981131e-06, + "loss": 3.8765, + "step": 1167 + }, + { + "epoch": 0.98, + "learning_rate": 1.088534107402032e-06, + "loss": 4.0299, + "step": 1168 + }, + { + "epoch": 0.98, + "learning_rate": 1.0449927431059507e-06, + "loss": 4.0296, + "step": 1169 + }, + { + "epoch": 0.98, + "learning_rate": 1.0014513788098693e-06, + "loss": 4.147, + "step": 1170 + }, + { + "epoch": 0.98, + "learning_rate": 9.57910014513788e-07, + "loss": 4.0634, + "step": 1171 }, { "epoch": 0.99, - "learning_rate": 2.628e-05, - "loss": 4.2637, - "step": 440 + "learning_rate": 9.143686502177069e-07, + "loss": 3.9348, + "step": 1172 }, { "epoch": 0.99, - "learning_rate": 2.6340000000000002e-05, - "loss": 4.2109, - "step": 441 + "learning_rate": 8.708272859216256e-07, + "loss": 4.1515, + "step": 1173 }, { "epoch": 0.99, - "learning_rate": 2.64e-05, - "loss": 4.4059, - "step": 442 + "learning_rate": 8.272859216255443e-07, + "loss": 4.0434, + "step": 1174 }, { "epoch": 0.99, - "learning_rate": 2.646e-05, - "loss": 4.3216, - "step": 443 + "learning_rate": 7.837445573294631e-07, + "loss": 3.9705, + "step": 1175 + }, + { + "epoch": 0.99, + "learning_rate": 7.402031930333817e-07, + "loss": 4.0213, + "step": 1176 + }, + { + "epoch": 0.99, + "learning_rate": 6.966618287373004e-07, + "loss": 4.149, + "step": 1177 + }, + { + "epoch": 0.99, + "learning_rate": 6.531204644412192e-07, + "loss": 4.4807, + "step": 1178 + }, + { + "epoch": 0.99, + "learning_rate": 6.095791001451379e-07, + "loss": 3.9835, + "step": 1179 + }, + { + "epoch": 0.99, + "learning_rate": 5.660377358490566e-07, + "loss": 4.1959, + "step": 1180 + }, + { + "epoch": 0.99, + "learning_rate": 5.224963715529753e-07, + "loss": 4.1525, + "step": 1181 + }, + { + "epoch": 0.99, + "learning_rate": 4.78955007256894e-07, + "loss": 4.0851, + "step": 1182 + }, + { + "epoch": 0.99, + "learning_rate": 4.354136429608128e-07, + "loss": 4.1103, + "step": 1183 }, { "epoch": 1.0, - "learning_rate": 2.652e-05, - "loss": 4.2793, - "step": 444 + "learning_rate": 3.9187227866473153e-07, + "loss": 4.1269, + "step": 1184 }, { "epoch": 1.0, - "learning_rate": 2.658e-05, - "loss": 4.5485, - "step": 445 + "learning_rate": 3.483309143686502e-07, + "loss": 4.1185, + "step": 1185 }, { "epoch": 1.0, - "learning_rate": 2.6640000000000002e-05, - "loss": 4.2807, - "step": 446 + "learning_rate": 3.0478955007256894e-07, + "loss": 4.2908, + "step": 1186 + }, + { + "epoch": 1.0, + "learning_rate": 2.6124818577648767e-07, + "loss": 4.2001, + "step": 1187 + }, + { + "epoch": 1.0, + "learning_rate": 2.177068214804064e-07, + "loss": 4.228, + "step": 1188 + }, + { + "epoch": 1.0, + "learning_rate": 1.741654571843251e-07, + "loss": 4.3516, + "step": 1189 }, { "epoch": 1.0, - "step": 446, + "step": 1189, "total_flos": 0.0, - "train_loss": 4.298295111399595, - "train_runtime": 5163.9194, - "train_samples_per_second": 5.526, - "train_steps_per_second": 0.086 + "train_loss": 4.242165094268132, + "train_runtime": 6714.5583, + "train_samples_per_second": 4.25, + "train_steps_per_second": 0.177 } ], - "max_steps": 446, + "max_steps": 1189, "num_train_epochs": 1, "total_flos": 0.0, "trial_name": null,