diff --git "a/trainer_state.json" "b/trainer_state.json" --- "a/trainer_state.json" +++ "b/trainer_state.json" @@ -2,5383 +2,2698 @@ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0, - "global_step": 892, + "global_step": 446, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, - "learning_rate": 0.0, - "loss": 4.8242, + "learning_rate": 2e-08, + "loss": 4.7633, "step": 1 }, { "epoch": 0.0, - "learning_rate": 2e-08, - "loss": 5.0694, + "learning_rate": 4e-08, + "loss": 4.9111, "step": 2 }, { - "epoch": 0.0, + "epoch": 0.01, "learning_rate": 4e-08, - "loss": 4.9273, + "loss": 4.8796, "step": 3 }, { - "epoch": 0.0, + "epoch": 0.01, "learning_rate": 6.000000000000001e-08, - "loss": 4.9226, + "loss": 4.8776, "step": 4 }, { "epoch": 0.01, "learning_rate": 8e-08, - "loss": 4.755, + "loss": 4.8182, "step": 5 }, { "epoch": 0.01, - "learning_rate": 8e-08, - "loss": 4.8633, + "learning_rate": 1.0000000000000001e-07, + "loss": 4.8851, "step": 6 }, { - "epoch": 0.01, - "learning_rate": 1.0000000000000001e-07, - "loss": 4.8616, + "epoch": 0.02, + "learning_rate": 1.2000000000000002e-07, + "loss": 4.8575, "step": 7 }, { - "epoch": 0.01, - "learning_rate": 1.2000000000000002e-07, - "loss": 4.7782, + "epoch": 0.02, + "learning_rate": 1.4e-07, + "loss": 4.9088, "step": 8 }, { - "epoch": 0.01, - "learning_rate": 1.4e-07, - "loss": 4.9333, + "epoch": 0.02, + "learning_rate": 1.6e-07, + "loss": 4.9109, "step": 9 }, { - "epoch": 0.01, - "learning_rate": 1.6e-07, - "loss": 4.8321, + "epoch": 0.02, + "learning_rate": 1.8e-07, + "loss": 4.7878, "step": 10 }, { - "epoch": 0.01, - "learning_rate": 1.8e-07, - "loss": 4.8966, + "epoch": 0.02, + "learning_rate": 2.0000000000000002e-07, + "loss": 4.9099, "step": 11 }, { - "epoch": 0.01, - "learning_rate": 2.0000000000000002e-07, - "loss": 4.8762, + "epoch": 0.03, + "learning_rate": 2.2e-07, + "loss": 4.8879, "step": 12 }, { - "epoch": 0.01, - "learning_rate": 2.2e-07, - "loss": 4.8738, + "epoch": 0.03, + "learning_rate": 2.4000000000000003e-07, + "loss": 4.8415, "step": 13 }, { - "epoch": 0.02, - "learning_rate": 2.4000000000000003e-07, - "loss": 4.8319, + "epoch": 0.03, + "learning_rate": 2.6e-07, + "loss": 4.8503, "step": 14 }, { - "epoch": 0.02, - "learning_rate": 2.6e-07, - "loss": 4.7762, + "epoch": 0.03, + "learning_rate": 2.8e-07, + "loss": 4.7343, "step": 15 }, { - "epoch": 0.02, - "learning_rate": 2.8e-07, - "loss": 4.9082, + "epoch": 0.04, + "learning_rate": 3.0000000000000004e-07, + "loss": 4.8936, "step": 16 }, { - "epoch": 0.02, - "learning_rate": 3.0000000000000004e-07, - "loss": 4.9178, + "epoch": 0.04, + "learning_rate": 3.2e-07, + "loss": 4.8205, "step": 17 }, { - "epoch": 0.02, - "learning_rate": 3.2e-07, - "loss": 5.055, + "epoch": 0.04, + "learning_rate": 3.4000000000000003e-07, + "loss": 4.9299, "step": 18 }, { - "epoch": 0.02, - "learning_rate": 3.4000000000000003e-07, - "loss": 4.7725, + "epoch": 0.04, + "learning_rate": 3.6e-07, + "loss": 4.7331, "step": 19 }, { - "epoch": 0.02, - "learning_rate": 3.6e-07, - "loss": 4.9495, + "epoch": 0.04, + "learning_rate": 3.8e-07, + "loss": 4.9161, "step": 20 }, { - "epoch": 0.02, - "learning_rate": 3.8e-07, - "loss": 4.8793, + "epoch": 0.05, + "learning_rate": 4.0000000000000003e-07, + "loss": 4.91, "step": 21 }, { - "epoch": 0.02, - "learning_rate": 4.0000000000000003e-07, - "loss": 4.8091, + "epoch": 0.05, + "learning_rate": 4.2000000000000006e-07, + "loss": 4.8262, "step": 22 }, { - "epoch": 0.03, - "learning_rate": 4.2000000000000006e-07, - "loss": 4.8869, + "epoch": 0.05, + "learning_rate": 4.4e-07, + "loss": 4.9479, "step": 23 }, { - "epoch": 0.03, - "learning_rate": 4.4e-07, - "loss": 5.031, + "epoch": 0.05, + "learning_rate": 4.6000000000000004e-07, + "loss": 4.942, "step": 24 }, { - "epoch": 0.03, - "learning_rate": 4.6000000000000004e-07, - "loss": 4.9099, + "epoch": 0.06, + "learning_rate": 4.800000000000001e-07, + "loss": 4.7356, "step": 25 }, { - "epoch": 0.03, - "learning_rate": 4.800000000000001e-07, - "loss": 5.0558, + "epoch": 0.06, + "learning_rate": 5.000000000000001e-07, + "loss": 5.0038, "step": 26 }, { - "epoch": 0.03, - "learning_rate": 5.000000000000001e-07, - "loss": 4.8086, + "epoch": 0.06, + "learning_rate": 5.2e-07, + "loss": 4.8565, "step": 27 }, { - "epoch": 0.03, - "learning_rate": 5.2e-07, - "loss": 4.7263, + "epoch": 0.06, + "learning_rate": 5.4e-07, + "loss": 4.7324, "step": 28 }, { - "epoch": 0.03, - "learning_rate": 5.4e-07, - "loss": 4.7646, + "epoch": 0.07, + "learning_rate": 5.6e-07, + "loss": 4.7126, "step": 29 }, { - "epoch": 0.03, - "learning_rate": 5.6e-07, - "loss": 4.9278, + "epoch": 0.07, + "learning_rate": 5.800000000000001e-07, + "loss": 4.9015, "step": 30 }, { - "epoch": 0.03, - "learning_rate": 5.800000000000001e-07, - "loss": 4.9052, + "epoch": 0.07, + "learning_rate": 6.000000000000001e-07, + "loss": 4.869, "step": 31 }, { - "epoch": 0.04, - "learning_rate": 6.000000000000001e-07, - "loss": 4.6965, + "epoch": 0.07, + "learning_rate": 6.200000000000001e-07, + "loss": 4.7292, "step": 32 }, { - "epoch": 0.04, - "learning_rate": 6.200000000000001e-07, - "loss": 4.7982, + "epoch": 0.07, + "learning_rate": 6.4e-07, + "loss": 4.8362, "step": 33 }, { - "epoch": 0.04, - "learning_rate": 6.4e-07, - "loss": 4.666, + "epoch": 0.08, + "learning_rate": 6.6e-07, + "loss": 4.75, "step": 34 }, { - "epoch": 0.04, - "learning_rate": 6.6e-07, - "loss": 4.8597, + "epoch": 0.08, + "learning_rate": 6.800000000000001e-07, + "loss": 4.8524, "step": 35 }, { - "epoch": 0.04, - "learning_rate": 6.800000000000001e-07, - "loss": 4.8249, + "epoch": 0.08, + "learning_rate": 7.000000000000001e-07, + "loss": 4.7962, "step": 36 }, { - "epoch": 0.04, - "learning_rate": 7.000000000000001e-07, - "loss": 4.8771, + "epoch": 0.08, + "learning_rate": 7.2e-07, + "loss": 4.859, "step": 37 }, { - "epoch": 0.04, - "learning_rate": 7.2e-07, - "loss": 4.8633, + "epoch": 0.09, + "learning_rate": 7.4e-07, + "loss": 4.7945, "step": 38 }, { - "epoch": 0.04, - "learning_rate": 7.4e-07, - "loss": 5.0942, + "epoch": 0.09, + "learning_rate": 7.6e-07, + "loss": 4.9263, "step": 39 }, { - "epoch": 0.04, - "learning_rate": 7.6e-07, - "loss": 4.8164, + "epoch": 0.09, + "learning_rate": 7.8e-07, + "loss": 4.7248, "step": 40 }, { - "epoch": 0.05, - "learning_rate": 7.8e-07, - "loss": 4.7004, + "epoch": 0.09, + "learning_rate": 8.000000000000001e-07, + "loss": 4.803, "step": 41 }, { - "epoch": 0.05, - "learning_rate": 8.000000000000001e-07, - "loss": 4.9064, + "epoch": 0.09, + "learning_rate": 8.200000000000001e-07, + "loss": 4.9282, "step": 42 }, { - "epoch": 0.05, - "learning_rate": 8.200000000000001e-07, - "loss": 4.7133, + "epoch": 0.1, + "learning_rate": 8.400000000000001e-07, + "loss": 4.7007, "step": 43 }, { - "epoch": 0.05, - "learning_rate": 8.400000000000001e-07, - "loss": 4.9141, + "epoch": 0.1, + "learning_rate": 8.6e-07, + "loss": 4.8718, "step": 44 }, { - "epoch": 0.05, - "learning_rate": 8.6e-07, - "loss": 4.9973, + "epoch": 0.1, + "learning_rate": 8.8e-07, + "loss": 5.0068, "step": 45 }, { - "epoch": 0.05, - "learning_rate": 8.8e-07, - "loss": 5.2097, + "epoch": 0.1, + "learning_rate": 9.000000000000001e-07, + "loss": 5.1512, "step": 46 }, { - "epoch": 0.05, - "learning_rate": 9.000000000000001e-07, - "loss": 5.1196, + "epoch": 0.11, + "learning_rate": 9.200000000000001e-07, + "loss": 5.0423, "step": 47 }, { - "epoch": 0.05, - "learning_rate": 9.200000000000001e-07, - "loss": 5.4716, + "epoch": 0.11, + "learning_rate": 9.400000000000001e-07, + "loss": 5.3227, "step": 48 }, { - "epoch": 0.05, - "learning_rate": 9.200000000000001e-07, - "loss": 5.6522, + "epoch": 0.11, + "learning_rate": 9.600000000000001e-07, + "loss": 5.4297, "step": 49 }, { - "epoch": 0.06, - "learning_rate": 9.400000000000001e-07, - "loss": 5.4503, + "epoch": 0.11, + "learning_rate": 9.600000000000001e-07, + "loss": 5.339, "step": 50 }, { - "epoch": 0.06, - "learning_rate": 9.600000000000001e-07, - "loss": 4.5297, + "epoch": 0.11, + "learning_rate": 9.800000000000001e-07, + "loss": 4.657, "step": 51 }, { - "epoch": 0.06, - "learning_rate": 9.800000000000001e-07, - "loss": 4.673, + "epoch": 0.12, + "learning_rate": 1.0000000000000002e-06, + "loss": 4.5155, "step": 52 }, { - "epoch": 0.06, - "learning_rate": 1.0000000000000002e-06, - "loss": 4.5282, + "epoch": 0.12, + "learning_rate": 1.02e-06, + "loss": 4.6886, "step": 53 }, { - "epoch": 0.06, - "learning_rate": 1.02e-06, - "loss": 4.6237, + "epoch": 0.12, + "learning_rate": 1.04e-06, + "loss": 4.5949, "step": 54 }, { - "epoch": 0.06, - "learning_rate": 1.04e-06, - "loss": 4.6055, + "epoch": 0.12, + "learning_rate": 1.06e-06, + "loss": 4.4149, "step": 55 }, { - "epoch": 0.06, - "learning_rate": 1.06e-06, - "loss": 4.6426, + "epoch": 0.13, + "learning_rate": 1.08e-06, + "loss": 4.6266, "step": 56 }, { - "epoch": 0.06, - "learning_rate": 1.08e-06, - "loss": 4.6344, + "epoch": 0.13, + "learning_rate": 1.1e-06, + "loss": 4.6458, "step": 57 }, { - "epoch": 0.07, - "learning_rate": 1.1e-06, - "loss": 4.8693, + "epoch": 0.13, + "learning_rate": 1.12e-06, + "loss": 4.7385, "step": 58 }, { - "epoch": 0.07, - "learning_rate": 1.12e-06, - "loss": 4.6156, + "epoch": 0.13, + "learning_rate": 1.14e-06, + "loss": 4.6687, "step": 59 }, { - "epoch": 0.07, - "learning_rate": 1.14e-06, - "loss": 4.4609, + "epoch": 0.13, + "learning_rate": 1.1600000000000001e-06, + "loss": 4.5012, "step": 60 }, { - "epoch": 0.07, - "learning_rate": 1.1600000000000001e-06, - "loss": 4.6899, + "epoch": 0.14, + "learning_rate": 1.1800000000000001e-06, + "loss": 4.6079, "step": 61 }, { - "epoch": 0.07, - "learning_rate": 1.1800000000000001e-06, - "loss": 4.6055, + "epoch": 0.14, + "learning_rate": 1.2000000000000002e-06, + "loss": 4.5349, "step": 62 }, { - "epoch": 0.07, - "learning_rate": 1.2000000000000002e-06, - "loss": 4.5051, + "epoch": 0.14, + "learning_rate": 1.2200000000000002e-06, + "loss": 4.5074, "step": 63 }, { - "epoch": 0.07, - "learning_rate": 1.2200000000000002e-06, - "loss": 4.6539, + "epoch": 0.14, + "learning_rate": 1.2400000000000002e-06, + "loss": 4.611, "step": 64 }, { - "epoch": 0.07, - "learning_rate": 1.2400000000000002e-06, - "loss": 4.393, + "epoch": 0.15, + "learning_rate": 1.26e-06, + "loss": 4.565, "step": 65 }, { - "epoch": 0.07, - "learning_rate": 1.26e-06, - "loss": 4.6817, + "epoch": 0.15, + "learning_rate": 1.28e-06, + "loss": 4.4438, "step": 66 }, { - "epoch": 0.08, - "learning_rate": 1.28e-06, - "loss": 4.4762, + "epoch": 0.15, + "learning_rate": 1.3e-06, + "loss": 4.6036, "step": 67 }, { - "epoch": 0.08, - "learning_rate": 1.3e-06, - "loss": 4.5006, + "epoch": 0.15, + "learning_rate": 1.32e-06, + "loss": 4.4427, "step": 68 }, { - "epoch": 0.08, - "learning_rate": 1.32e-06, - "loss": 4.4399, + "epoch": 0.15, + "learning_rate": 1.34e-06, + "loss": 4.5095, "step": 69 }, { - "epoch": 0.08, - "learning_rate": 1.34e-06, - "loss": 4.5411, + "epoch": 0.16, + "learning_rate": 1.3600000000000001e-06, + "loss": 4.4858, "step": 70 }, { - "epoch": 0.08, - "learning_rate": 1.3600000000000001e-06, - "loss": 4.7146, + "epoch": 0.16, + "learning_rate": 1.3800000000000001e-06, + "loss": 4.618, "step": 71 }, { - "epoch": 0.08, - "learning_rate": 1.3800000000000001e-06, - "loss": 4.6193, + "epoch": 0.16, + "learning_rate": 1.4000000000000001e-06, + "loss": 4.6007, "step": 72 }, { - "epoch": 0.08, - "learning_rate": 1.4000000000000001e-06, - "loss": 4.5544, + "epoch": 0.16, + "learning_rate": 1.42e-06, + "loss": 4.453, "step": 73 }, { - "epoch": 0.08, - "learning_rate": 1.42e-06, - "loss": 4.6302, + "epoch": 0.17, + "learning_rate": 1.44e-06, + "loss": 4.519, "step": 74 }, { - "epoch": 0.08, - "learning_rate": 1.44e-06, - "loss": 4.3761, + "epoch": 0.17, + "learning_rate": 1.46e-06, + "loss": 4.5242, "step": 75 }, { - "epoch": 0.09, - "learning_rate": 1.46e-06, - "loss": 4.6907, + "epoch": 0.17, + "learning_rate": 1.48e-06, + "loss": 4.4702, "step": 76 }, { - "epoch": 0.09, - "learning_rate": 1.48e-06, - "loss": 4.5436, + "epoch": 0.17, + "learning_rate": 1.5e-06, + "loss": 4.5255, "step": 77 }, { - "epoch": 0.09, - "learning_rate": 1.5e-06, - "loss": 4.4896, + "epoch": 0.17, + "learning_rate": 1.52e-06, + "loss": 4.4652, "step": 78 }, { - "epoch": 0.09, - "learning_rate": 1.52e-06, - "loss": 4.3514, + "epoch": 0.18, + "learning_rate": 1.54e-06, + "loss": 4.4498, "step": 79 }, { - "epoch": 0.09, - "learning_rate": 1.54e-06, - "loss": 4.5454, + "epoch": 0.18, + "learning_rate": 1.56e-06, + "loss": 4.5705, "step": 80 }, { - "epoch": 0.09, - "learning_rate": 1.56e-06, - "loss": 4.6405, + "epoch": 0.18, + "learning_rate": 1.5800000000000001e-06, + "loss": 4.5202, "step": 81 }, { - "epoch": 0.09, - "learning_rate": 1.5800000000000001e-06, - "loss": 4.4412, + "epoch": 0.18, + "learning_rate": 1.6000000000000001e-06, + "loss": 4.4593, "step": 82 }, { - "epoch": 0.09, - "learning_rate": 1.6000000000000001e-06, - "loss": 4.6026, + "epoch": 0.19, + "learning_rate": 1.6200000000000002e-06, + "loss": 4.5733, "step": 83 }, { - "epoch": 0.09, - "learning_rate": 1.6200000000000002e-06, - "loss": 4.5577, + "epoch": 0.19, + "learning_rate": 1.6400000000000002e-06, + "loss": 4.45, "step": 84 }, { - "epoch": 0.1, - "learning_rate": 1.6400000000000002e-06, - "loss": 4.5492, + "epoch": 0.19, + "learning_rate": 1.6600000000000002e-06, + "loss": 4.4868, "step": 85 }, { - "epoch": 0.1, - "learning_rate": 1.6600000000000002e-06, - "loss": 4.4596, + "epoch": 0.19, + "learning_rate": 1.6800000000000002e-06, + "loss": 4.48, "step": 86 }, { - "epoch": 0.1, - "learning_rate": 1.6800000000000002e-06, - "loss": 4.4947, + "epoch": 0.2, + "learning_rate": 1.7000000000000002e-06, + "loss": 4.5859, "step": 87 }, { - "epoch": 0.1, - "learning_rate": 1.7000000000000002e-06, - "loss": 4.5046, + "epoch": 0.2, + "learning_rate": 1.72e-06, + "loss": 4.4624, "step": 88 }, { - "epoch": 0.1, - "learning_rate": 1.72e-06, - "loss": 4.5577, + "epoch": 0.2, + "learning_rate": 1.74e-06, + "loss": 4.6002, "step": 89 }, { - "epoch": 0.1, - "learning_rate": 1.74e-06, - "loss": 4.4095, + "epoch": 0.2, + "learning_rate": 1.76e-06, + "loss": 4.5497, "step": 90 }, { - "epoch": 0.1, - "learning_rate": 1.76e-06, - "loss": 4.6886, + "epoch": 0.2, + "learning_rate": 1.7800000000000001e-06, + "loss": 4.4896, "step": 91 }, { - "epoch": 0.1, - "learning_rate": 1.7800000000000001e-06, - "loss": 4.6398, + "epoch": 0.21, + "learning_rate": 1.8000000000000001e-06, + "loss": 4.7272, "step": 92 }, { - "epoch": 0.1, - "learning_rate": 1.8000000000000001e-06, - "loss": 4.3426, + "epoch": 0.21, + "learning_rate": 1.8200000000000002e-06, + "loss": 4.5785, "step": 93 }, { - "epoch": 0.11, - "learning_rate": 1.8200000000000002e-06, - "loss": 4.5306, + "epoch": 0.21, + "learning_rate": 1.8400000000000002e-06, + "loss": 4.5895, "step": 94 }, { - "epoch": 0.11, - "learning_rate": 1.8400000000000002e-06, - "loss": 4.803, + "epoch": 0.21, + "learning_rate": 1.8600000000000002e-06, + "loss": 4.5834, "step": 95 }, { - "epoch": 0.11, - "learning_rate": 1.8600000000000002e-06, - "loss": 4.7855, + "epoch": 0.22, + "learning_rate": 1.8800000000000002e-06, + "loss": 4.7481, "step": 96 }, { - "epoch": 0.11, - "learning_rate": 1.8800000000000002e-06, - "loss": 4.5809, + "epoch": 0.22, + "learning_rate": 1.9000000000000002e-06, + "loss": 4.7947, "step": 97 }, { - "epoch": 0.11, - "learning_rate": 1.9000000000000002e-06, - "loss": 4.8796, + "epoch": 0.22, + "learning_rate": 1.9200000000000003e-06, + "loss": 4.567, "step": 98 }, { - "epoch": 0.11, - "learning_rate": 1.9200000000000003e-06, - "loss": 4.6557, + "epoch": 0.22, + "learning_rate": 1.94e-06, + "loss": 4.8742, "step": 99 }, { - "epoch": 0.11, - "learning_rate": 1.94e-06, - "loss": 4.7918, + "epoch": 0.22, + "learning_rate": 1.9600000000000003e-06, + "loss": 4.6728, "step": 100 }, { - "epoch": 0.11, - "learning_rate": 1.9600000000000003e-06, - "loss": 4.3464, + "epoch": 0.23, + "learning_rate": 1.98e-06, + "loss": 4.4148, "step": 101 }, { - "epoch": 0.11, - "learning_rate": 1.98e-06, - "loss": 4.3529, + "epoch": 0.23, + "learning_rate": 2.0000000000000003e-06, + "loss": 4.3493, "step": 102 }, { - "epoch": 0.12, - "learning_rate": 2.0000000000000003e-06, - "loss": 4.5084, + "epoch": 0.23, + "learning_rate": 2.02e-06, + "loss": 4.2165, "step": 103 }, { - "epoch": 0.12, - "learning_rate": 2.02e-06, - "loss": 4.4042, + "epoch": 0.23, + "learning_rate": 2.04e-06, + "loss": 4.285, "step": 104 }, { - "epoch": 0.12, - "learning_rate": 2.04e-06, - "loss": 4.2093, + "epoch": 0.24, + "learning_rate": 2.06e-06, + "loss": 4.2356, "step": 105 }, { - "epoch": 0.12, - "learning_rate": 2.06e-06, - "loss": 4.4784, + "epoch": 0.24, + "learning_rate": 2.08e-06, + "loss": 4.278, "step": 106 }, { - "epoch": 0.12, - "learning_rate": 2.08e-06, - "loss": 4.4191, + "epoch": 0.24, + "learning_rate": 2.1000000000000002e-06, + "loss": 4.38, "step": 107 }, { - "epoch": 0.12, - "learning_rate": 2.1000000000000002e-06, - "loss": 4.5951, + "epoch": 0.24, + "learning_rate": 2.12e-06, + "loss": 4.2958, "step": 108 }, { - "epoch": 0.12, - "learning_rate": 2.12e-06, - "loss": 4.1595, + "epoch": 0.24, + "learning_rate": 2.1400000000000003e-06, + "loss": 4.2908, "step": 109 }, { - "epoch": 0.12, - "learning_rate": 2.1400000000000003e-06, - "loss": 4.3082, + "epoch": 0.25, + "learning_rate": 2.16e-06, + "loss": 4.3311, "step": 110 }, { - "epoch": 0.12, - "learning_rate": 2.16e-06, - "loss": 4.5168, + "epoch": 0.25, + "learning_rate": 2.1800000000000003e-06, + "loss": 4.3749, "step": 111 }, { - "epoch": 0.13, - "learning_rate": 2.1800000000000003e-06, - "loss": 4.362, + "epoch": 0.25, + "learning_rate": 2.2e-06, + "loss": 4.3236, "step": 112 }, { - "epoch": 0.13, - "learning_rate": 2.2e-06, - "loss": 4.3284, + "epoch": 0.25, + "learning_rate": 2.2200000000000003e-06, + "loss": 4.348, "step": 113 }, { - "epoch": 0.13, - "learning_rate": 2.2200000000000003e-06, - "loss": 4.2495, + "epoch": 0.26, + "learning_rate": 2.24e-06, + "loss": 4.3211, "step": 114 }, { - "epoch": 0.13, - "learning_rate": 2.24e-06, - "loss": 4.329, + "epoch": 0.26, + "learning_rate": 2.2600000000000004e-06, + "loss": 4.3697, "step": 115 }, { - "epoch": 0.13, - "learning_rate": 2.2600000000000004e-06, - "loss": 4.1321, + "epoch": 0.26, + "learning_rate": 2.28e-06, + "loss": 4.4212, "step": 116 }, { - "epoch": 0.13, - "learning_rate": 2.28e-06, - "loss": 4.4528, + "epoch": 0.26, + "learning_rate": 2.3000000000000004e-06, + "loss": 4.3025, "step": 117 }, { - "epoch": 0.13, - "learning_rate": 2.3000000000000004e-06, - "loss": 4.2502, + "epoch": 0.26, + "learning_rate": 2.3200000000000002e-06, + "loss": 4.4696, "step": 118 }, { - "epoch": 0.13, - "learning_rate": 2.3200000000000002e-06, - "loss": 4.4529, + "epoch": 0.27, + "learning_rate": 2.3400000000000005e-06, + "loss": 4.3551, "step": 119 }, { - "epoch": 0.13, - "learning_rate": 2.3400000000000005e-06, - "loss": 4.4849, + "epoch": 0.27, + "learning_rate": 2.3600000000000003e-06, + "loss": 4.3851, "step": 120 }, { - "epoch": 0.14, - "learning_rate": 2.3600000000000003e-06, - "loss": 4.4343, + "epoch": 0.27, + "learning_rate": 2.38e-06, + "loss": 4.2232, "step": 121 }, { - "epoch": 0.14, - "learning_rate": 2.38e-06, - "loss": 4.3086, + "epoch": 0.27, + "learning_rate": 2.4000000000000003e-06, + "loss": 4.3045, "step": 122 }, { - "epoch": 0.14, - "learning_rate": 2.4000000000000003e-06, - "loss": 4.2446, + "epoch": 0.28, + "learning_rate": 2.42e-06, + "loss": 4.33, "step": 123 }, { - "epoch": 0.14, - "learning_rate": 2.42e-06, - "loss": 4.4509, + "epoch": 0.28, + "learning_rate": 2.4400000000000004e-06, + "loss": 4.3141, "step": 124 }, { - "epoch": 0.14, - "learning_rate": 2.4400000000000004e-06, - "loss": 4.4062, + "epoch": 0.28, + "learning_rate": 2.46e-06, + "loss": 4.4295, "step": 125 }, { - "epoch": 0.14, - "learning_rate": 2.46e-06, - "loss": 4.4681, + "epoch": 0.28, + "learning_rate": 2.4800000000000004e-06, + "loss": 4.44, "step": 126 }, { - "epoch": 0.14, - "learning_rate": 2.4800000000000004e-06, - "loss": 4.5481, + "epoch": 0.28, + "learning_rate": 2.5e-06, + "loss": 4.3421, "step": 127 }, { - "epoch": 0.14, - "learning_rate": 2.5e-06, - "loss": 4.3067, + "epoch": 0.29, + "learning_rate": 2.52e-06, + "loss": 4.3164, "step": 128 }, { - "epoch": 0.14, - "learning_rate": 2.52e-06, - "loss": 4.2584, + "epoch": 0.29, + "learning_rate": 2.5400000000000002e-06, + "loss": 4.2223, "step": 129 }, { - "epoch": 0.15, - "learning_rate": 2.5400000000000002e-06, - "loss": 4.4602, + "epoch": 0.29, + "learning_rate": 2.56e-06, + "loss": 4.3852, "step": 130 }, { - "epoch": 0.15, - "learning_rate": 2.56e-06, - "loss": 4.3518, + "epoch": 0.29, + "learning_rate": 2.5800000000000003e-06, + "loss": 4.2854, "step": 131 }, { - "epoch": 0.15, - "learning_rate": 2.5800000000000003e-06, - "loss": 4.4616, + "epoch": 0.3, + "learning_rate": 2.6e-06, + "loss": 4.3269, "step": 132 }, { - "epoch": 0.15, - "learning_rate": 2.6e-06, - "loss": 4.3817, + "epoch": 0.3, + "learning_rate": 2.6200000000000003e-06, + "loss": 4.2724, "step": 133 }, { - "epoch": 0.15, - "learning_rate": 2.6200000000000003e-06, - "loss": 4.4235, + "epoch": 0.3, + "learning_rate": 2.64e-06, + "loss": 4.2822, "step": 134 }, { - "epoch": 0.15, - "learning_rate": 2.64e-06, - "loss": 4.2847, + "epoch": 0.3, + "learning_rate": 2.6600000000000004e-06, + "loss": 4.4477, "step": 135 }, { - "epoch": 0.15, - "learning_rate": 2.6600000000000004e-06, - "loss": 4.3116, + "epoch": 0.3, + "learning_rate": 2.68e-06, + "loss": 4.3023, "step": 136 }, { - "epoch": 0.15, - "learning_rate": 2.68e-06, - "loss": 4.6905, + "epoch": 0.31, + "learning_rate": 2.7000000000000004e-06, + "loss": 4.4109, "step": 137 }, { - "epoch": 0.15, - "learning_rate": 2.7000000000000004e-06, - "loss": 4.4184, + "epoch": 0.31, + "learning_rate": 2.7200000000000002e-06, + "loss": 4.4397, "step": 138 }, { - "epoch": 0.16, - "learning_rate": 2.7200000000000002e-06, - "loss": 4.463, + "epoch": 0.31, + "learning_rate": 2.7400000000000004e-06, + "loss": 4.4502, "step": 139 }, { - "epoch": 0.16, - "learning_rate": 2.7400000000000004e-06, - "loss": 4.2542, + "epoch": 0.31, + "learning_rate": 2.7600000000000003e-06, + "loss": 4.4306, "step": 140 }, { - "epoch": 0.16, - "learning_rate": 2.7600000000000003e-06, - "loss": 4.5367, + "epoch": 0.32, + "learning_rate": 2.7800000000000005e-06, + "loss": 4.5436, "step": 141 }, { - "epoch": 0.16, - "learning_rate": 2.7800000000000005e-06, - "loss": 4.6165, + "epoch": 0.32, + "learning_rate": 2.8000000000000003e-06, + "loss": 4.4715, "step": 142 }, { - "epoch": 0.16, - "learning_rate": 2.8000000000000003e-06, - "loss": 4.5384, + "epoch": 0.32, + "learning_rate": 2.82e-06, + "loss": 4.3932, "step": 143 }, { - "epoch": 0.16, - "learning_rate": 2.82e-06, - "loss": 4.4601, + "epoch": 0.32, + "learning_rate": 2.84e-06, + "loss": 4.4735, "step": 144 }, { - "epoch": 0.16, - "learning_rate": 2.84e-06, - "loss": 4.5431, + "epoch": 0.33, + "learning_rate": 2.86e-06, + "loss": 4.3691, "step": 145 }, { - "epoch": 0.16, - "learning_rate": 2.86e-06, - "loss": 4.5828, + "epoch": 0.33, + "learning_rate": 2.88e-06, + "loss": 4.4599, "step": 146 }, { - "epoch": 0.16, - "learning_rate": 2.88e-06, - "loss": 4.6763, + "epoch": 0.33, + "learning_rate": 2.9e-06, + "loss": 4.7192, "step": 147 }, { - "epoch": 0.17, - "learning_rate": 2.9e-06, - "loss": 4.3709, + "epoch": 0.33, + "learning_rate": 2.92e-06, + "loss": 4.8634, "step": 148 }, { - "epoch": 0.17, - "learning_rate": 2.92e-06, - "loss": 4.6528, + "epoch": 0.33, + "learning_rate": 2.9400000000000002e-06, + "loss": 4.5975, "step": 149 }, { - "epoch": 0.17, - "learning_rate": 2.9400000000000002e-06, - "loss": 4.2986, + "epoch": 0.34, + "learning_rate": 2.96e-06, + "loss": 4.7077, "step": 150 }, { - "epoch": 0.17, - "learning_rate": 2.96e-06, - "loss": 4.4293, + "epoch": 0.34, + "learning_rate": 2.9800000000000003e-06, + "loss": 4.2145, "step": 151 }, { - "epoch": 0.17, - "learning_rate": 2.9800000000000003e-06, - "loss": 4.2866, + "epoch": 0.34, + "learning_rate": 3e-06, + "loss": 4.2845, "step": 152 }, { - "epoch": 0.17, - "learning_rate": 3e-06, - "loss": 4.3511, + "epoch": 0.34, + "learning_rate": 3.0200000000000003e-06, + "loss": 4.2969, "step": 153 }, { - "epoch": 0.17, - "learning_rate": 3.0200000000000003e-06, - "loss": 4.2369, + "epoch": 0.35, + "learning_rate": 3.04e-06, + "loss": 4.2126, "step": 154 }, { - "epoch": 0.17, - "learning_rate": 3.04e-06, - "loss": 4.1249, + "epoch": 0.35, + "learning_rate": 3.0600000000000003e-06, + "loss": 4.3056, "step": 155 }, { - "epoch": 0.17, - "learning_rate": 3.0600000000000003e-06, - "loss": 4.2803, + "epoch": 0.35, + "learning_rate": 3.08e-06, + "loss": 4.172, "step": 156 }, { - "epoch": 0.18, - "learning_rate": 3.08e-06, - "loss": 4.4222, + "epoch": 0.35, + "learning_rate": 3.1000000000000004e-06, + "loss": 4.2029, "step": 157 }, { - "epoch": 0.18, - "learning_rate": 3.1000000000000004e-06, - "loss": 4.5166, + "epoch": 0.35, + "learning_rate": 3.12e-06, + "loss": 4.2939, "step": 158 }, { - "epoch": 0.18, - "learning_rate": 3.12e-06, - "loss": 4.5553, + "epoch": 0.36, + "learning_rate": 3.1400000000000004e-06, + "loss": 4.3015, "step": 159 }, { - "epoch": 0.18, - "learning_rate": 3.1400000000000004e-06, - "loss": 4.2464, + "epoch": 0.36, + "learning_rate": 3.1600000000000002e-06, + "loss": 4.3041, "step": 160 }, { - "epoch": 0.18, - "learning_rate": 3.1600000000000002e-06, - "loss": 4.2719, + "epoch": 0.36, + "learning_rate": 3.1800000000000005e-06, + "loss": 4.3576, "step": 161 }, { - "epoch": 0.18, - "learning_rate": 3.1800000000000005e-06, - "loss": 4.3566, + "epoch": 0.36, + "learning_rate": 3.2000000000000003e-06, + "loss": 4.3136, "step": 162 }, { - "epoch": 0.18, - "learning_rate": 3.2000000000000003e-06, - "loss": 4.2978, + "epoch": 0.37, + "learning_rate": 3.2200000000000005e-06, + "loss": 4.2696, "step": 163 }, { - "epoch": 0.18, - "learning_rate": 3.2200000000000005e-06, - "loss": 4.434, + "epoch": 0.37, + "learning_rate": 3.2400000000000003e-06, + "loss": 4.3336, "step": 164 }, { - "epoch": 0.18, - "learning_rate": 3.2400000000000003e-06, - "loss": 4.3524, + "epoch": 0.37, + "learning_rate": 3.2600000000000006e-06, + "loss": 4.1924, "step": 165 }, { - "epoch": 0.19, - "learning_rate": 3.2600000000000006e-06, - "loss": 4.3696, + "epoch": 0.37, + "learning_rate": 3.2800000000000004e-06, + "loss": 4.2559, "step": 166 }, { - "epoch": 0.19, - "learning_rate": 3.2800000000000004e-06, - "loss": 4.3229, + "epoch": 0.37, + "learning_rate": 3.3000000000000006e-06, + "loss": 4.1719, "step": 167 }, { - "epoch": 0.19, - "learning_rate": 3.3000000000000006e-06, - "loss": 4.1114, + "epoch": 0.38, + "learning_rate": 3.3200000000000004e-06, + "loss": 4.2586, "step": 168 }, { - "epoch": 0.19, - "learning_rate": 3.3200000000000004e-06, - "loss": 4.0973, + "epoch": 0.38, + "learning_rate": 3.3400000000000006e-06, + "loss": 4.3229, "step": 169 }, { - "epoch": 0.19, - "learning_rate": 3.3400000000000006e-06, - "loss": 4.2897, + "epoch": 0.38, + "learning_rate": 3.3600000000000004e-06, + "loss": 4.3361, "step": 170 }, { - "epoch": 0.19, - "learning_rate": 3.3600000000000004e-06, - "loss": 4.4917, + "epoch": 0.38, + "learning_rate": 3.3800000000000007e-06, + "loss": 4.3238, "step": 171 }, { - "epoch": 0.19, - "learning_rate": 3.3800000000000007e-06, - "loss": 4.396, + "epoch": 0.39, + "learning_rate": 3.4000000000000005e-06, + "loss": 4.3695, "step": 172 }, { - "epoch": 0.19, - "learning_rate": 3.4000000000000005e-06, - "loss": 4.3476, + "epoch": 0.39, + "learning_rate": 3.4200000000000007e-06, + "loss": 4.1802, "step": 173 }, { - "epoch": 0.2, - "learning_rate": 3.4200000000000007e-06, - "loss": 4.1774, + "epoch": 0.39, + "learning_rate": 3.44e-06, + "loss": 4.3182, "step": 174 }, { - "epoch": 0.2, - "learning_rate": 3.44e-06, - "loss": 4.3004, + "epoch": 0.39, + "learning_rate": 3.46e-06, + "loss": 4.3777, "step": 175 }, { - "epoch": 0.2, - "learning_rate": 3.46e-06, - "loss": 4.1297, + "epoch": 0.39, + "learning_rate": 3.48e-06, + "loss": 4.2564, "step": 176 }, { - "epoch": 0.2, - "learning_rate": 3.48e-06, - "loss": 4.1742, + "epoch": 0.4, + "learning_rate": 3.5e-06, + "loss": 4.2225, "step": 177 }, { - "epoch": 0.2, - "learning_rate": 3.5e-06, - "loss": 4.2256, + "epoch": 0.4, + "learning_rate": 3.52e-06, + "loss": 4.3079, "step": 178 }, { - "epoch": 0.2, - "learning_rate": 3.52e-06, - "loss": 4.3416, + "epoch": 0.4, + "learning_rate": 3.54e-06, + "loss": 4.3581, "step": 179 }, { - "epoch": 0.2, - "learning_rate": 3.54e-06, - "loss": 4.3123, + "epoch": 0.4, + "learning_rate": 3.5600000000000002e-06, + "loss": 4.3614, "step": 180 }, { - "epoch": 0.2, - "learning_rate": 3.5600000000000002e-06, - "loss": 4.3697, + "epoch": 0.41, + "learning_rate": 3.58e-06, + "loss": 4.2853, "step": 181 }, { - "epoch": 0.2, - "learning_rate": 3.58e-06, - "loss": 4.1602, + "epoch": 0.41, + "learning_rate": 3.6000000000000003e-06, + "loss": 4.3422, "step": 182 }, { - "epoch": 0.21, - "learning_rate": 3.6000000000000003e-06, - "loss": 4.3987, + "epoch": 0.41, + "learning_rate": 3.62e-06, + "loss": 4.348, "step": 183 }, { - "epoch": 0.21, - "learning_rate": 3.62e-06, - "loss": 4.3355, + "epoch": 0.41, + "learning_rate": 3.6400000000000003e-06, + "loss": 4.3491, "step": 184 }, { - "epoch": 0.21, - "learning_rate": 3.6400000000000003e-06, - "loss": 4.3648, + "epoch": 0.41, + "learning_rate": 3.66e-06, + "loss": 4.3238, "step": 185 }, { - "epoch": 0.21, - "learning_rate": 3.66e-06, - "loss": 4.258, + "epoch": 0.42, + "learning_rate": 3.6800000000000003e-06, + "loss": 4.1929, "step": 186 }, { - "epoch": 0.21, - "learning_rate": 3.6800000000000003e-06, - "loss": 4.4511, + "epoch": 0.42, + "learning_rate": 3.7e-06, + "loss": 4.21, "step": 187 }, { - "epoch": 0.21, - "learning_rate": 3.7e-06, - "loss": 4.1707, + "epoch": 0.42, + "learning_rate": 3.7200000000000004e-06, + "loss": 4.164, "step": 188 }, { - "epoch": 0.21, - "learning_rate": 3.7200000000000004e-06, - "loss": 4.2588, + "epoch": 0.42, + "learning_rate": 3.74e-06, + "loss": 4.2805, "step": 189 }, { - "epoch": 0.21, - "learning_rate": 3.74e-06, - "loss": 4.4404, + "epoch": 0.43, + "learning_rate": 3.7600000000000004e-06, + "loss": 4.405, "step": 190 }, { - "epoch": 0.21, - "learning_rate": 3.7600000000000004e-06, - "loss": 4.4161, + "epoch": 0.43, + "learning_rate": 3.7800000000000002e-06, + "loss": 4.3344, "step": 191 }, { - "epoch": 0.22, - "learning_rate": 3.7800000000000002e-06, - "loss": 4.3722, + "epoch": 0.43, + "learning_rate": 3.8000000000000005e-06, + "loss": 4.2669, "step": 192 }, { - "epoch": 0.22, - "learning_rate": 3.8000000000000005e-06, - "loss": 4.5612, + "epoch": 0.43, + "learning_rate": 3.820000000000001e-06, + "loss": 4.2899, "step": 193 }, { - "epoch": 0.22, - "learning_rate": 3.820000000000001e-06, - "loss": 4.2952, + "epoch": 0.43, + "learning_rate": 3.8400000000000005e-06, + "loss": 4.3873, "step": 194 }, { - "epoch": 0.22, - "learning_rate": 3.8400000000000005e-06, - "loss": 4.3148, + "epoch": 0.44, + "learning_rate": 3.86e-06, + "loss": 4.4804, "step": 195 }, { - "epoch": 0.22, - "learning_rate": 3.86e-06, - "loss": 4.5931, + "epoch": 0.44, + "learning_rate": 3.88e-06, + "loss": 4.4503, "step": 196 }, { - "epoch": 0.22, - "learning_rate": 3.88e-06, - "loss": 4.5598, + "epoch": 0.44, + "learning_rate": 3.900000000000001e-06, + "loss": 4.3873, "step": 197 }, { - "epoch": 0.22, - "learning_rate": 3.900000000000001e-06, - "loss": 4.536, + "epoch": 0.44, + "learning_rate": 3.920000000000001e-06, + "loss": 4.6998, "step": 198 }, { - "epoch": 0.22, - "learning_rate": 3.920000000000001e-06, - "loss": 4.6728, + "epoch": 0.45, + "learning_rate": 3.94e-06, + "loss": 4.6039, "step": 199 }, { - "epoch": 0.22, - "learning_rate": 3.94e-06, - "loss": 4.7729, + "epoch": 0.45, + "learning_rate": 3.96e-06, + "loss": 4.5695, "step": 200 }, { - "epoch": 0.23, - "learning_rate": 3.96e-06, - "loss": 4.1568, + "epoch": 0.45, + "learning_rate": 3.980000000000001e-06, + "loss": 4.3181, "step": 201 }, { - "epoch": 0.23, - "learning_rate": 3.980000000000001e-06, - "loss": 4.2509, + "epoch": 0.45, + "learning_rate": 4.000000000000001e-06, + "loss": 4.2565, "step": 202 }, { - "epoch": 0.23, - "learning_rate": 4.000000000000001e-06, - "loss": 4.1336, + "epoch": 0.46, + "learning_rate": 4.0200000000000005e-06, + "loss": 4.2566, "step": 203 }, { - "epoch": 0.23, - "learning_rate": 4.0200000000000005e-06, - "loss": 4.1179, + "epoch": 0.46, + "learning_rate": 4.04e-06, + "loss": 4.2488, "step": 204 }, { - "epoch": 0.23, - "learning_rate": 4.04e-06, - "loss": 4.0396, + "epoch": 0.46, + "learning_rate": 4.060000000000001e-06, + "loss": 4.3213, "step": 205 }, { - "epoch": 0.23, - "learning_rate": 4.060000000000001e-06, - "loss": 4.1159, + "epoch": 0.46, + "learning_rate": 4.08e-06, + "loss": 4.3263, "step": 206 }, { - "epoch": 0.23, - "learning_rate": 4.08e-06, - "loss": 4.2318, + "epoch": 0.46, + "learning_rate": 4.1e-06, + "loss": 4.1808, "step": 207 }, { - "epoch": 0.23, - "learning_rate": 4.1e-06, - "loss": 4.0496, + "epoch": 0.47, + "learning_rate": 4.12e-06, + "loss": 4.2721, "step": 208 }, { - "epoch": 0.23, - "learning_rate": 4.12e-06, - "loss": 4.2799, + "epoch": 0.47, + "learning_rate": 4.14e-06, + "loss": 4.3141, "step": 209 }, { - "epoch": 0.24, - "learning_rate": 4.14e-06, - "loss": 4.23, + "epoch": 0.47, + "learning_rate": 4.16e-06, + "loss": 4.285, "step": 210 }, { - "epoch": 0.24, - "learning_rate": 4.16e-06, - "loss": 4.1737, + "epoch": 0.47, + "learning_rate": 4.18e-06, + "loss": 4.1726, "step": 211 }, { - "epoch": 0.24, - "learning_rate": 4.18e-06, - "loss": 4.2731, + "epoch": 0.48, + "learning_rate": 4.2000000000000004e-06, + "loss": 4.2216, "step": 212 }, { - "epoch": 0.24, - "learning_rate": 4.2000000000000004e-06, - "loss": 4.2519, + "epoch": 0.48, + "learning_rate": 4.22e-06, + "loss": 4.1285, "step": 213 }, { - "epoch": 0.24, - "learning_rate": 4.22e-06, - "loss": 4.3022, + "epoch": 0.48, + "learning_rate": 4.24e-06, + "loss": 4.2122, "step": 214 }, { - "epoch": 0.24, - "learning_rate": 4.24e-06, - "loss": 4.1748, + "epoch": 0.48, + "learning_rate": 4.26e-06, + "loss": 4.2578, "step": 215 }, { - "epoch": 0.24, - "learning_rate": 4.26e-06, - "loss": 4.307, + "epoch": 0.48, + "learning_rate": 4.2800000000000005e-06, + "loss": 4.2336, "step": 216 }, { - "epoch": 0.24, - "learning_rate": 4.2800000000000005e-06, - "loss": 4.2685, + "epoch": 0.49, + "learning_rate": 4.3e-06, + "loss": 4.2851, "step": 217 }, { - "epoch": 0.24, - "learning_rate": 4.3e-06, - "loss": 4.1908, + "epoch": 0.49, + "learning_rate": 4.32e-06, + "loss": 4.2353, "step": 218 }, { - "epoch": 0.25, - "learning_rate": 4.32e-06, - "loss": 4.279, + "epoch": 0.49, + "learning_rate": 4.34e-06, + "loss": 4.1564, "step": 219 }, { - "epoch": 0.25, - "learning_rate": 4.34e-06, - "loss": 4.2546, + "epoch": 0.49, + "learning_rate": 4.360000000000001e-06, + "loss": 4.2741, "step": 220 }, { - "epoch": 0.25, - "learning_rate": 4.360000000000001e-06, - "loss": 4.2365, + "epoch": 0.5, + "learning_rate": 4.38e-06, + "loss": 4.2666, "step": 221 }, { - "epoch": 0.25, - "learning_rate": 4.38e-06, - "loss": 4.2913, + "epoch": 0.5, + "learning_rate": 4.4e-06, + "loss": 4.2329, "step": 222 }, { - "epoch": 0.25, - "learning_rate": 4.4e-06, - "loss": 4.3505, + "epoch": 0.5, + "learning_rate": 4.42e-06, + "loss": 4.2691, "step": 223 }, { - "epoch": 0.25, - "learning_rate": 4.42e-06, - "loss": 4.2653, + "epoch": 0.5, + "learning_rate": 4.440000000000001e-06, + "loss": 4.1904, "step": 224 }, { - "epoch": 0.25, - "learning_rate": 4.440000000000001e-06, - "loss": 4.34, + "epoch": 0.5, + "learning_rate": 4.4600000000000005e-06, + "loss": 4.3606, "step": 225 }, { - "epoch": 0.25, - "learning_rate": 4.4600000000000005e-06, - "loss": 4.509, + "epoch": 0.51, + "learning_rate": 4.48e-06, + "loss": 4.2548, "step": 226 }, { - "epoch": 0.25, - "learning_rate": 4.48e-06, - "loss": 4.2533, + "epoch": 0.51, + "learning_rate": 4.5e-06, + "loss": 4.3776, "step": 227 }, { - "epoch": 0.26, - "learning_rate": 4.5e-06, - "loss": 4.1684, + "epoch": 0.51, + "learning_rate": 4.520000000000001e-06, + "loss": 4.3096, "step": 228 }, { - "epoch": 0.26, - "learning_rate": 4.520000000000001e-06, - "loss": 4.1599, + "epoch": 0.51, + "learning_rate": 4.540000000000001e-06, + "loss": 4.1924, "step": 229 }, { - "epoch": 0.26, - "learning_rate": 4.540000000000001e-06, - "loss": 4.253, + "epoch": 0.52, + "learning_rate": 4.56e-06, + "loss": 4.2802, "step": 230 }, { - "epoch": 0.26, - "learning_rate": 4.56e-06, - "loss": 4.2055, + "epoch": 0.52, + "learning_rate": 4.58e-06, + "loss": 4.3578, "step": 231 }, { - "epoch": 0.26, - "learning_rate": 4.58e-06, - "loss": 4.347, + "epoch": 0.52, + "learning_rate": 4.600000000000001e-06, + "loss": 4.1489, "step": 232 }, { - "epoch": 0.26, - "learning_rate": 4.600000000000001e-06, - "loss": 4.2403, + "epoch": 0.52, + "learning_rate": 4.620000000000001e-06, + "loss": 4.1684, "step": 233 }, { - "epoch": 0.26, - "learning_rate": 4.620000000000001e-06, - "loss": 4.3107, + "epoch": 0.52, + "learning_rate": 4.6400000000000005e-06, + "loss": 4.2505, "step": 234 }, { - "epoch": 0.26, - "learning_rate": 4.6400000000000005e-06, - "loss": 4.3986, + "epoch": 0.53, + "learning_rate": 4.66e-06, + "loss": 4.3324, "step": 235 }, { - "epoch": 0.26, - "learning_rate": 4.66e-06, - "loss": 4.2434, + "epoch": 0.53, + "learning_rate": 4.680000000000001e-06, + "loss": 4.2627, "step": 236 }, { - "epoch": 0.27, - "learning_rate": 4.680000000000001e-06, - "loss": 4.282, + "epoch": 0.53, + "learning_rate": 4.7e-06, + "loss": 4.304, "step": 237 }, { - "epoch": 0.27, - "learning_rate": 4.7e-06, - "loss": 4.4659, + "epoch": 0.53, + "learning_rate": 4.7200000000000005e-06, + "loss": 4.2457, "step": 238 }, { - "epoch": 0.27, - "learning_rate": 4.7200000000000005e-06, - "loss": 4.2934, + "epoch": 0.54, + "learning_rate": 4.74e-06, + "loss": 4.1868, "step": 239 }, { - "epoch": 0.27, - "learning_rate": 4.74e-06, - "loss": 4.3816, + "epoch": 0.54, + "learning_rate": 4.76e-06, + "loss": 4.3028, "step": 240 }, { - "epoch": 0.27, - "learning_rate": 4.76e-06, - "loss": 4.3785, + "epoch": 0.54, + "learning_rate": 4.78e-06, + "loss": 4.2704, "step": 241 }, { - "epoch": 0.27, - "learning_rate": 4.78e-06, - "loss": 4.5443, + "epoch": 0.54, + "learning_rate": 4.800000000000001e-06, + "loss": 4.3031, "step": 242 }, { - "epoch": 0.27, - "learning_rate": 4.800000000000001e-06, - "loss": 4.3825, + "epoch": 0.54, + "learning_rate": 4.8200000000000004e-06, + "loss": 4.5193, "step": 243 }, { - "epoch": 0.27, - "learning_rate": 4.8200000000000004e-06, - "loss": 4.3406, + "epoch": 0.55, + "learning_rate": 4.84e-06, + "loss": 4.3524, "step": 244 }, { - "epoch": 0.27, - "learning_rate": 4.84e-06, - "loss": 4.5317, + "epoch": 0.55, + "learning_rate": 4.86e-06, + "loss": 4.3437, "step": 245 }, { - "epoch": 0.28, - "learning_rate": 4.86e-06, - "loss": 4.3991, + "epoch": 0.55, + "learning_rate": 4.880000000000001e-06, + "loss": 4.2623, "step": 246 }, { - "epoch": 0.28, - "learning_rate": 4.880000000000001e-06, - "loss": 4.7736, + "epoch": 0.55, + "learning_rate": 4.9000000000000005e-06, + "loss": 4.1807, "step": 247 }, { - "epoch": 0.28, - "learning_rate": 4.9000000000000005e-06, - "loss": 4.7937, + "epoch": 0.56, + "learning_rate": 4.92e-06, + "loss": 4.5587, "step": 248 }, { - "epoch": 0.28, - "learning_rate": 4.92e-06, - "loss": 4.617, + "epoch": 0.56, + "learning_rate": 4.94e-06, + "loss": 4.6662, "step": 249 }, { - "epoch": 0.28, - "learning_rate": 4.94e-06, - "loss": 4.2682, + "epoch": 0.56, + "learning_rate": 4.960000000000001e-06, + "loss": 4.6559, "step": 250 }, { - "epoch": 0.28, - "learning_rate": 4.960000000000001e-06, - "loss": 4.4206, + "epoch": 0.56, + "learning_rate": 4.980000000000001e-06, + "loss": 4.2338, "step": 251 }, { - "epoch": 0.28, - "learning_rate": 4.980000000000001e-06, - "loss": 4.1331, + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 4.2654, "step": 252 }, { - "epoch": 0.28, - "learning_rate": 5e-06, - "loss": 4.1561, + "epoch": 0.57, + "learning_rate": 5.02e-06, + "loss": 4.311, "step": 253 }, { - "epoch": 0.28, - "learning_rate": 5.02e-06, - "loss": 4.3146, + "epoch": 0.57, + "learning_rate": 5.04e-06, + "loss": 4.1525, "step": 254 }, { - "epoch": 0.29, - "learning_rate": 5.04e-06, - "loss": 4.1541, + "epoch": 0.57, + "learning_rate": 5.060000000000001e-06, + "loss": 4.2531, "step": 255 }, { - "epoch": 0.29, - "learning_rate": 5.060000000000001e-06, - "loss": 4.1555, + "epoch": 0.57, + "learning_rate": 5.0800000000000005e-06, + "loss": 4.223, "step": 256 }, { - "epoch": 0.29, - "learning_rate": 5.0800000000000005e-06, - "loss": 4.3562, + "epoch": 0.58, + "learning_rate": 5.1e-06, + "loss": 4.1962, "step": 257 }, { - "epoch": 0.29, - "learning_rate": 5.1e-06, - "loss": 4.1731, + "epoch": 0.58, + "learning_rate": 5.12e-06, + "loss": 4.2138, "step": 258 }, { - "epoch": 0.29, - "learning_rate": 5.12e-06, - "loss": 4.1383, + "epoch": 0.58, + "learning_rate": 5.140000000000001e-06, + "loss": 4.2155, "step": 259 }, { - "epoch": 0.29, - "learning_rate": 5.140000000000001e-06, - "loss": 4.2964, + "epoch": 0.58, + "learning_rate": 5.1600000000000006e-06, + "loss": 4.1582, "step": 260 }, { - "epoch": 0.29, - "learning_rate": 5.1600000000000006e-06, - "loss": 4.3322, + "epoch": 0.59, + "learning_rate": 5.18e-06, + "loss": 4.2736, "step": 261 }, { - "epoch": 0.29, - "learning_rate": 5.18e-06, - "loss": 4.0483, + "epoch": 0.59, + "learning_rate": 5.2e-06, + "loss": 4.2103, "step": 262 }, { - "epoch": 0.29, - "learning_rate": 5.2e-06, - "loss": 4.1846, + "epoch": 0.59, + "learning_rate": 5.220000000000001e-06, + "loss": 4.3473, "step": 263 }, { - "epoch": 0.3, - "learning_rate": 5.220000000000001e-06, - "loss": 4.1761, + "epoch": 0.59, + "learning_rate": 5.240000000000001e-06, + "loss": 4.2133, "step": 264 }, { - "epoch": 0.3, - "learning_rate": 5.240000000000001e-06, - "loss": 4.3097, + "epoch": 0.59, + "learning_rate": 5.2600000000000005e-06, + "loss": 4.2476, "step": 265 }, { - "epoch": 0.3, - "learning_rate": 5.2600000000000005e-06, - "loss": 4.3513, + "epoch": 0.6, + "learning_rate": 5.28e-06, + "loss": 4.2244, "step": 266 }, { - "epoch": 0.3, - "learning_rate": 5.28e-06, - "loss": 4.1831, + "epoch": 0.6, + "learning_rate": 5.300000000000001e-06, + "loss": 4.2517, "step": 267 }, { - "epoch": 0.3, - "learning_rate": 5.300000000000001e-06, - "loss": 4.516, + "epoch": 0.6, + "learning_rate": 5.320000000000001e-06, + "loss": 4.2084, "step": 268 }, { - "epoch": 0.3, - "learning_rate": 5.320000000000001e-06, - "loss": 4.2319, + "epoch": 0.6, + "learning_rate": 5.3400000000000005e-06, + "loss": 4.2887, "step": 269 }, { - "epoch": 0.3, - "learning_rate": 5.3400000000000005e-06, - "loss": 4.386, + "epoch": 0.61, + "learning_rate": 5.36e-06, + "loss": 4.1665, "step": 270 }, { - "epoch": 0.3, - "learning_rate": 5.36e-06, - "loss": 4.0012, + "epoch": 0.61, + "learning_rate": 5.380000000000001e-06, + "loss": 4.0903, "step": 271 }, { - "epoch": 0.3, - "learning_rate": 5.380000000000001e-06, - "loss": 4.1407, + "epoch": 0.61, + "learning_rate": 5.400000000000001e-06, + "loss": 4.2757, "step": 272 }, { - "epoch": 0.31, - "learning_rate": 5.400000000000001e-06, - "loss": 4.1697, + "epoch": 0.61, + "learning_rate": 5.420000000000001e-06, + "loss": 4.0794, "step": 273 }, { - "epoch": 0.31, - "learning_rate": 5.420000000000001e-06, - "loss": 4.096, + "epoch": 0.61, + "learning_rate": 5.4400000000000004e-06, + "loss": 4.1791, "step": 274 }, { - "epoch": 0.31, - "learning_rate": 5.4400000000000004e-06, - "loss": 4.3577, + "epoch": 0.62, + "learning_rate": 5.460000000000001e-06, + "loss": 4.2729, "step": 275 }, { - "epoch": 0.31, - "learning_rate": 5.460000000000001e-06, - "loss": 4.2639, + "epoch": 0.62, + "learning_rate": 5.480000000000001e-06, + "loss": 4.2107, "step": 276 }, { - "epoch": 0.31, - "learning_rate": 5.480000000000001e-06, - "loss": 4.2025, + "epoch": 0.62, + "learning_rate": 5.500000000000001e-06, + "loss": 4.1623, "step": 277 }, { - "epoch": 0.31, - "learning_rate": 5.500000000000001e-06, - "loss": 4.1926, + "epoch": 0.62, + "learning_rate": 5.5200000000000005e-06, + "loss": 4.2513, "step": 278 }, { - "epoch": 0.31, - "learning_rate": 5.5200000000000005e-06, - "loss": 4.1823, + "epoch": 0.63, + "learning_rate": 5.540000000000001e-06, + "loss": 4.235, "step": 279 }, { - "epoch": 0.31, - "learning_rate": 5.540000000000001e-06, - "loss": 4.3278, + "epoch": 0.63, + "learning_rate": 5.560000000000001e-06, + "loss": 4.3647, "step": 280 }, { - "epoch": 0.32, - "learning_rate": 5.560000000000001e-06, - "loss": 4.1204, + "epoch": 0.63, + "learning_rate": 5.580000000000001e-06, + "loss": 4.2633, "step": 281 }, { - "epoch": 0.32, - "learning_rate": 5.580000000000001e-06, - "loss": 4.2377, + "epoch": 0.63, + "learning_rate": 5.600000000000001e-06, + "loss": 4.12, "step": 282 }, { - "epoch": 0.32, - "learning_rate": 5.600000000000001e-06, - "loss": 4.0139, + "epoch": 0.63, + "learning_rate": 5.620000000000001e-06, + "loss": 4.1451, "step": 283 }, { - "epoch": 0.32, - "learning_rate": 5.620000000000001e-06, - "loss": 4.2235, + "epoch": 0.64, + "learning_rate": 5.64e-06, + "loss": 4.2252, "step": 284 }, { - "epoch": 0.32, - "learning_rate": 5.64e-06, - "loss": 4.3209, + "epoch": 0.64, + "learning_rate": 5.66e-06, + "loss": 4.3205, "step": 285 }, { - "epoch": 0.32, - "learning_rate": 5.66e-06, - "loss": 4.2323, + "epoch": 0.64, + "learning_rate": 5.68e-06, + "loss": 4.2208, "step": 286 }, { - "epoch": 0.32, - "learning_rate": 5.68e-06, - "loss": 4.3746, + "epoch": 0.64, + "learning_rate": 5.7e-06, + "loss": 4.3254, "step": 287 }, { - "epoch": 0.32, - "learning_rate": 5.7e-06, - "loss": 4.332, + "epoch": 0.65, + "learning_rate": 5.72e-06, + "loss": 4.2817, "step": 288 }, { - "epoch": 0.32, - "learning_rate": 5.72e-06, - "loss": 4.3801, + "epoch": 0.65, + "learning_rate": 5.74e-06, + "loss": 4.192, "step": 289 }, { - "epoch": 0.33, - "learning_rate": 5.74e-06, - "loss": 4.3752, + "epoch": 0.65, + "learning_rate": 5.76e-06, + "loss": 4.2462, "step": 290 }, { - "epoch": 0.33, - "learning_rate": 5.76e-06, - "loss": 4.4016, + "epoch": 0.65, + "learning_rate": 5.78e-06, + "loss": 4.4973, "step": 291 }, { - "epoch": 0.33, - "learning_rate": 5.78e-06, - "loss": 4.2473, + "epoch": 0.65, + "learning_rate": 5.8e-06, + "loss": 4.3751, "step": 292 }, { - "epoch": 0.33, - "learning_rate": 5.8e-06, - "loss": 4.3151, + "epoch": 0.66, + "learning_rate": 5.82e-06, + "loss": 4.441, "step": 293 }, { - "epoch": 0.33, - "learning_rate": 5.82e-06, - "loss": 4.3135, + "epoch": 0.66, + "learning_rate": 5.84e-06, + "loss": 4.4067, "step": 294 }, { - "epoch": 0.33, - "learning_rate": 5.84e-06, - "loss": 4.2031, + "epoch": 0.66, + "learning_rate": 5.86e-06, + "loss": 4.3823, "step": 295 }, { - "epoch": 0.33, - "learning_rate": 5.86e-06, - "loss": 4.4624, + "epoch": 0.66, + "learning_rate": 5.8800000000000005e-06, + "loss": 4.3868, "step": 296 }, { - "epoch": 0.33, - "learning_rate": 5.8800000000000005e-06, - "loss": 4.6031, + "epoch": 0.67, + "learning_rate": 5.9e-06, + "loss": 4.2941, "step": 297 }, { - "epoch": 0.33, - "learning_rate": 5.9e-06, - "loss": 4.3948, + "epoch": 0.67, + "learning_rate": 5.92e-06, + "loss": 4.6034, "step": 298 }, { - "epoch": 0.34, - "learning_rate": 5.92e-06, - "loss": 4.8168, + "epoch": 0.67, + "learning_rate": 5.94e-06, + "loss": 4.37, "step": 299 }, { - "epoch": 0.34, - "learning_rate": 5.94e-06, - "loss": 4.816, + "epoch": 0.67, + "learning_rate": 5.9600000000000005e-06, + "loss": 4.7808, "step": 300 }, { - "epoch": 0.34, - "learning_rate": 5.9600000000000005e-06, - "loss": 4.0983, + "epoch": 0.67, + "learning_rate": 5.98e-06, + "loss": 4.268, "step": 301 }, { - "epoch": 0.34, - "learning_rate": 5.98e-06, - "loss": 4.2092, + "epoch": 0.68, + "learning_rate": 6e-06, + "loss": 4.2326, "step": 302 }, { - "epoch": 0.34, - "learning_rate": 6e-06, - "loss": 4.0984, + "epoch": 0.68, + "learning_rate": 6.02e-06, + "loss": 4.2418, "step": 303 }, { - "epoch": 0.34, - "learning_rate": 6.02e-06, - "loss": 4.2683, + "epoch": 0.68, + "learning_rate": 6.040000000000001e-06, + "loss": 4.2376, "step": 304 }, { - "epoch": 0.34, - "learning_rate": 6.040000000000001e-06, - "loss": 4.0981, + "epoch": 0.68, + "learning_rate": 6.0600000000000004e-06, + "loss": 4.2091, "step": 305 }, { - "epoch": 0.34, - "learning_rate": 6.0600000000000004e-06, - "loss": 4.1561, + "epoch": 0.69, + "learning_rate": 6.08e-06, + "loss": 4.2111, "step": 306 }, { - "epoch": 0.34, - "learning_rate": 6.08e-06, - "loss": 4.1834, + "epoch": 0.69, + "learning_rate": 6.1e-06, + "loss": 4.2004, "step": 307 }, { - "epoch": 0.35, - "learning_rate": 6.1e-06, - "loss": 4.2697, + "epoch": 0.69, + "learning_rate": 6.120000000000001e-06, + "loss": 4.1965, "step": 308 }, { - "epoch": 0.35, - "learning_rate": 6.120000000000001e-06, - "loss": 4.1863, + "epoch": 0.69, + "learning_rate": 6.1400000000000005e-06, + "loss": 4.1974, "step": 309 }, { - "epoch": 0.35, - "learning_rate": 6.1400000000000005e-06, - "loss": 4.3187, + "epoch": 0.7, + "learning_rate": 6.16e-06, + "loss": 4.2748, "step": 310 }, { - "epoch": 0.35, - "learning_rate": 6.16e-06, - "loss": 4.3841, - "step": 311 + "epoch": 0.7, + "learning_rate": 6.18e-06, + "loss": 4.0933, + "step": 311 }, { - "epoch": 0.35, - "learning_rate": 6.18e-06, - "loss": 4.3403, + "epoch": 0.7, + "learning_rate": 6.200000000000001e-06, + "loss": 4.2521, "step": 312 }, { - "epoch": 0.35, - "learning_rate": 6.200000000000001e-06, - "loss": 4.2338, + "epoch": 0.7, + "learning_rate": 6.220000000000001e-06, + "loss": 4.2651, "step": 313 }, { - "epoch": 0.35, - "learning_rate": 6.220000000000001e-06, - "loss": 4.2755, + "epoch": 0.7, + "learning_rate": 6.24e-06, + "loss": 4.182, "step": 314 }, { - "epoch": 0.35, - "learning_rate": 6.24e-06, - "loss": 4.1207, + "epoch": 0.71, + "learning_rate": 6.26e-06, + "loss": 4.2096, "step": 315 }, { - "epoch": 0.35, - "learning_rate": 6.26e-06, - "loss": 4.2767, + "epoch": 0.71, + "learning_rate": 6.280000000000001e-06, + "loss": 4.1797, "step": 316 }, { - "epoch": 0.36, - "learning_rate": 6.280000000000001e-06, - "loss": 4.127, + "epoch": 0.71, + "learning_rate": 6.300000000000001e-06, + "loss": 4.1667, "step": 317 }, { - "epoch": 0.36, - "learning_rate": 6.300000000000001e-06, - "loss": 4.1406, + "epoch": 0.71, + "learning_rate": 6.3200000000000005e-06, + "loss": 4.2119, "step": 318 }, { - "epoch": 0.36, - "learning_rate": 6.3200000000000005e-06, - "loss": 4.2472, + "epoch": 0.72, + "learning_rate": 6.34e-06, + "loss": 4.1995, "step": 319 }, { - "epoch": 0.36, - "learning_rate": 6.34e-06, - "loss": 4.1778, + "epoch": 0.72, + "learning_rate": 6.360000000000001e-06, + "loss": 4.2797, "step": 320 }, { - "epoch": 0.36, - "learning_rate": 6.360000000000001e-06, - "loss": 4.2838, + "epoch": 0.72, + "learning_rate": 6.380000000000001e-06, + "loss": 4.1701, "step": 321 }, { - "epoch": 0.36, - "learning_rate": 6.380000000000001e-06, - "loss": 4.1906, + "epoch": 0.72, + "learning_rate": 6.4000000000000006e-06, + "loss": 4.0619, "step": 322 }, { - "epoch": 0.36, - "learning_rate": 6.4000000000000006e-06, - "loss": 4.1239, + "epoch": 0.72, + "learning_rate": 6.42e-06, + "loss": 4.2404, "step": 323 }, { - "epoch": 0.36, - "learning_rate": 6.42e-06, - "loss": 4.3128, + "epoch": 0.73, + "learning_rate": 6.440000000000001e-06, + "loss": 4.1039, "step": 324 }, { - "epoch": 0.36, - "learning_rate": 6.440000000000001e-06, - "loss": 4.3291, + "epoch": 0.73, + "learning_rate": 6.460000000000001e-06, + "loss": 4.2368, "step": 325 }, { - "epoch": 0.37, - "learning_rate": 6.460000000000001e-06, - "loss": 4.3103, + "epoch": 0.73, + "learning_rate": 6.480000000000001e-06, + "loss": 4.1967, "step": 326 }, { - "epoch": 0.37, - "learning_rate": 6.480000000000001e-06, - "loss": 4.1972, + "epoch": 0.73, + "learning_rate": 6.5000000000000004e-06, + "loss": 4.1744, "step": 327 }, { - "epoch": 0.37, - "learning_rate": 6.5000000000000004e-06, - "loss": 4.1749, + "epoch": 0.74, + "learning_rate": 6.520000000000001e-06, + "loss": 4.1501, "step": 328 }, { - "epoch": 0.37, - "learning_rate": 6.520000000000001e-06, - "loss": 4.3494, + "epoch": 0.74, + "learning_rate": 6.540000000000001e-06, + "loss": 4.1861, "step": 329 }, { - "epoch": 0.37, - "learning_rate": 6.540000000000001e-06, - "loss": 4.3741, + "epoch": 0.74, + "learning_rate": 6.560000000000001e-06, + "loss": 4.2375, "step": 330 }, { - "epoch": 0.37, - "learning_rate": 6.560000000000001e-06, - "loss": 4.2197, + "epoch": 0.74, + "learning_rate": 6.5800000000000005e-06, + "loss": 4.2348, "step": 331 }, { - "epoch": 0.37, - "learning_rate": 6.5800000000000005e-06, - "loss": 4.2233, + "epoch": 0.74, + "learning_rate": 6.600000000000001e-06, + "loss": 4.133, "step": 332 }, { - "epoch": 0.37, - "learning_rate": 6.600000000000001e-06, - "loss": 4.265, + "epoch": 0.75, + "learning_rate": 6.620000000000001e-06, + "loss": 4.2921, "step": 333 }, { - "epoch": 0.37, - "learning_rate": 6.620000000000001e-06, - "loss": 4.2857, + "epoch": 0.75, + "learning_rate": 6.640000000000001e-06, + "loss": 4.1948, "step": 334 }, { - "epoch": 0.38, - "learning_rate": 6.640000000000001e-06, - "loss": 4.4136, + "epoch": 0.75, + "learning_rate": 6.660000000000001e-06, + "loss": 4.3708, "step": 335 }, { - "epoch": 0.38, - "learning_rate": 6.660000000000001e-06, - "loss": 4.1856, + "epoch": 0.75, + "learning_rate": 6.680000000000001e-06, + "loss": 4.1533, "step": 336 }, { - "epoch": 0.38, - "learning_rate": 6.680000000000001e-06, - "loss": 4.0796, + "epoch": 0.76, + "learning_rate": 6.700000000000001e-06, + "loss": 4.1618, "step": 337 }, { - "epoch": 0.38, - "learning_rate": 6.700000000000001e-06, - "loss": 4.3553, + "epoch": 0.76, + "learning_rate": 6.720000000000001e-06, + "loss": 4.267, "step": 338 }, { - "epoch": 0.38, - "learning_rate": 6.720000000000001e-06, - "loss": 4.1237, + "epoch": 0.76, + "learning_rate": 6.740000000000001e-06, + "loss": 4.2544, "step": 339 }, { - "epoch": 0.38, - "learning_rate": 6.740000000000001e-06, - "loss": 4.2866, + "epoch": 0.76, + "learning_rate": 6.760000000000001e-06, + "loss": 4.3039, "step": 340 }, { - "epoch": 0.38, - "learning_rate": 6.760000000000001e-06, - "loss": 4.1974, + "epoch": 0.76, + "learning_rate": 6.780000000000001e-06, + "loss": 4.2502, "step": 341 }, { - "epoch": 0.38, - "learning_rate": 6.780000000000001e-06, - "loss": 4.3292, + "epoch": 0.77, + "learning_rate": 6.800000000000001e-06, + "loss": 4.4135, "step": 342 }, { - "epoch": 0.38, - "learning_rate": 6.800000000000001e-06, - "loss": 4.2909, + "epoch": 0.77, + "learning_rate": 6.820000000000001e-06, + "loss": 4.3116, "step": 343 }, { - "epoch": 0.39, - "learning_rate": 6.820000000000001e-06, - "loss": 4.3585, + "epoch": 0.77, + "learning_rate": 6.8400000000000014e-06, + "loss": 4.3977, "step": 344 }, { - "epoch": 0.39, - "learning_rate": 6.8400000000000014e-06, - "loss": 4.3761, + "epoch": 0.77, + "learning_rate": 6.860000000000001e-06, + "loss": 4.135, "step": 345 }, { - "epoch": 0.39, - "learning_rate": 6.860000000000001e-06, - "loss": 4.5745, + "epoch": 0.78, + "learning_rate": 6.88e-06, + "loss": 4.3846, "step": 346 }, { - "epoch": 0.39, - "learning_rate": 6.88e-06, - "loss": 4.3797, + "epoch": 0.78, + "learning_rate": 6.9e-06, + "loss": 4.3741, "step": 347 }, { - "epoch": 0.39, - "learning_rate": 6.9e-06, - "loss": 4.45, + "epoch": 0.78, + "learning_rate": 6.92e-06, + "loss": 4.3161, "step": 348 }, { - "epoch": 0.39, - "learning_rate": 6.92e-06, - "loss": 4.6471, + "epoch": 0.78, + "learning_rate": 6.9400000000000005e-06, + "loss": 4.5413, "step": 349 }, { - "epoch": 0.39, - "learning_rate": 6.9400000000000005e-06, - "loss": 4.4856, + "epoch": 0.78, + "learning_rate": 6.96e-06, + "loss": 4.5532, "step": 350 }, { - "epoch": 0.39, - "learning_rate": 6.96e-06, - "loss": 4.2085, + "epoch": 0.79, + "learning_rate": 6.98e-06, + "loss": 4.275, "step": 351 }, { - "epoch": 0.39, - "learning_rate": 6.98e-06, - "loss": 4.213, + "epoch": 0.79, + "learning_rate": 7e-06, + "loss": 4.2207, "step": 352 }, { - "epoch": 0.4, - "learning_rate": 7e-06, - "loss": 4.1744, + "epoch": 0.79, + "learning_rate": 7.0200000000000006e-06, + "loss": 4.1401, "step": 353 }, { - "epoch": 0.4, - "learning_rate": 7.0200000000000006e-06, - "loss": 4.1688, + "epoch": 0.79, + "learning_rate": 7.04e-06, + "loss": 4.0229, "step": 354 }, { - "epoch": 0.4, - "learning_rate": 7.04e-06, - "loss": 4.2941, + "epoch": 0.8, + "learning_rate": 7.06e-06, + "loss": 4.2197, "step": 355 }, { - "epoch": 0.4, - "learning_rate": 7.06e-06, - "loss": 4.0359, + "epoch": 0.8, + "learning_rate": 7.08e-06, + "loss": 4.3189, "step": 356 }, { - "epoch": 0.4, - "learning_rate": 7.08e-06, - "loss": 4.1188, + "epoch": 0.8, + "learning_rate": 7.100000000000001e-06, + "loss": 4.1967, "step": 357 }, { - "epoch": 0.4, - "learning_rate": 7.100000000000001e-06, - "loss": 4.1802, + "epoch": 0.8, + "learning_rate": 7.1200000000000004e-06, + "loss": 4.2343, "step": 358 }, { - "epoch": 0.4, - "learning_rate": 7.1200000000000004e-06, - "loss": 4.119, + "epoch": 0.8, + "learning_rate": 7.14e-06, + "loss": 4.1164, "step": 359 }, { - "epoch": 0.4, - "learning_rate": 7.14e-06, - "loss": 4.3071, + "epoch": 0.81, + "learning_rate": 7.16e-06, + "loss": 4.1943, "step": 360 }, { - "epoch": 0.4, - "learning_rate": 7.16e-06, - "loss": 4.1673, + "epoch": 0.81, + "learning_rate": 7.180000000000001e-06, + "loss": 4.1379, "step": 361 }, { - "epoch": 0.41, - "learning_rate": 7.180000000000001e-06, - "loss": 4.1629, + "epoch": 0.81, + "learning_rate": 7.2000000000000005e-06, + "loss": 4.1926, "step": 362 }, { - "epoch": 0.41, - "learning_rate": 7.2000000000000005e-06, - "loss": 4.0868, + "epoch": 0.81, + "learning_rate": 7.22e-06, + "loss": 4.1157, "step": 363 }, { - "epoch": 0.41, - "learning_rate": 7.22e-06, - "loss": 4.3206, + "epoch": 0.82, + "learning_rate": 7.24e-06, + "loss": 4.2101, "step": 364 }, { - "epoch": 0.41, - "learning_rate": 7.24e-06, - "loss": 4.0581, + "epoch": 0.82, + "learning_rate": 7.260000000000001e-06, + "loss": 4.3345, "step": 365 }, { - "epoch": 0.41, - "learning_rate": 7.260000000000001e-06, - "loss": 4.1781, + "epoch": 0.82, + "learning_rate": 7.280000000000001e-06, + "loss": 4.1492, "step": 366 }, { - "epoch": 0.41, - "learning_rate": 7.280000000000001e-06, - "loss": 4.1172, + "epoch": 0.82, + "learning_rate": 7.3e-06, + "loss": 4.2292, "step": 367 }, { - "epoch": 0.41, - "learning_rate": 7.3e-06, - "loss": 4.2449, + "epoch": 0.83, + "learning_rate": 7.32e-06, + "loss": 4.212, "step": 368 }, { - "epoch": 0.41, - "learning_rate": 7.32e-06, - "loss": 4.2815, + "epoch": 0.83, + "learning_rate": 7.340000000000001e-06, + "loss": 4.1305, "step": 369 }, { - "epoch": 0.41, - "learning_rate": 7.340000000000001e-06, - "loss": 4.3224, + "epoch": 0.83, + "learning_rate": 7.360000000000001e-06, + "loss": 4.141, "step": 370 }, { - "epoch": 0.42, - "learning_rate": 7.360000000000001e-06, - "loss": 4.1183, + "epoch": 0.83, + "learning_rate": 7.3800000000000005e-06, + "loss": 4.1366, "step": 371 }, { - "epoch": 0.42, - "learning_rate": 7.3800000000000005e-06, - "loss": 4.4127, + "epoch": 0.83, + "learning_rate": 7.4e-06, + "loss": 4.2152, "step": 372 }, { - "epoch": 0.42, - "learning_rate": 7.4e-06, - "loss": 4.1838, + "epoch": 0.84, + "learning_rate": 7.420000000000001e-06, + "loss": 4.2039, "step": 373 }, { - "epoch": 0.42, - "learning_rate": 7.420000000000001e-06, - "loss": 4.2526, + "epoch": 0.84, + "learning_rate": 7.440000000000001e-06, + "loss": 4.0068, "step": 374 }, { - "epoch": 0.42, - "learning_rate": 7.440000000000001e-06, - "loss": 4.1397, + "epoch": 0.84, + "learning_rate": 7.4600000000000006e-06, + "loss": 4.2379, "step": 375 }, { - "epoch": 0.42, - "learning_rate": 7.4600000000000006e-06, - "loss": 4.2553, + "epoch": 0.84, + "learning_rate": 7.48e-06, + "loss": 4.0893, "step": 376 }, { - "epoch": 0.42, - "learning_rate": 7.48e-06, - "loss": 3.9823, + "epoch": 0.85, + "learning_rate": 7.500000000000001e-06, + "loss": 4.2137, "step": 377 }, { - "epoch": 0.42, - "learning_rate": 7.500000000000001e-06, - "loss": 4.3109, + "epoch": 0.85, + "learning_rate": 7.520000000000001e-06, + "loss": 4.1977, "step": 378 }, { - "epoch": 0.42, - "learning_rate": 7.520000000000001e-06, - "loss": 4.2333, + "epoch": 0.85, + "learning_rate": 7.540000000000001e-06, + "loss": 4.1133, "step": 379 }, { - "epoch": 0.43, - "learning_rate": 7.540000000000001e-06, - "loss": 4.3185, + "epoch": 0.85, + "learning_rate": 7.5600000000000005e-06, + "loss": 4.1347, "step": 380 }, { - "epoch": 0.43, - "learning_rate": 7.5600000000000005e-06, - "loss": 4.2813, + "epoch": 0.85, + "learning_rate": 7.58e-06, + "loss": 4.1941, "step": 381 }, { - "epoch": 0.43, - "learning_rate": 7.58e-06, - "loss": 4.2275, + "epoch": 0.86, + "learning_rate": 7.600000000000001e-06, + "loss": 4.2719, "step": 382 }, { - "epoch": 0.43, - "learning_rate": 7.600000000000001e-06, - "loss": 4.263, + "epoch": 0.86, + "learning_rate": 7.620000000000001e-06, + "loss": 4.1831, "step": 383 }, { - "epoch": 0.43, - "learning_rate": 7.620000000000001e-06, - "loss": 4.2492, + "epoch": 0.86, + "learning_rate": 7.640000000000001e-06, + "loss": 4.1165, "step": 384 }, { - "epoch": 0.43, - "learning_rate": 7.640000000000001e-06, - "loss": 4.1748, + "epoch": 0.86, + "learning_rate": 7.660000000000001e-06, + "loss": 4.2029, "step": 385 }, { - "epoch": 0.43, - "learning_rate": 7.660000000000001e-06, - "loss": 4.2262, + "epoch": 0.87, + "learning_rate": 7.680000000000001e-06, + "loss": 4.0781, "step": 386 }, { - "epoch": 0.43, - "learning_rate": 7.680000000000001e-06, - "loss": 4.1372, + "epoch": 0.87, + "learning_rate": 7.7e-06, + "loss": 4.2651, "step": 387 }, { - "epoch": 0.43, - "learning_rate": 7.7e-06, - "loss": 4.0275, + "epoch": 0.87, + "learning_rate": 7.72e-06, + "loss": 4.2909, "step": 388 }, { - "epoch": 0.44, - "learning_rate": 7.72e-06, - "loss": 4.199, + "epoch": 0.87, + "learning_rate": 7.74e-06, + "loss": 4.1941, "step": 389 }, { - "epoch": 0.44, - "learning_rate": 7.74e-06, - "loss": 4.3031, + "epoch": 0.87, + "learning_rate": 7.76e-06, + "loss": 4.172, "step": 390 }, { - "epoch": 0.44, - "learning_rate": 7.76e-06, - "loss": 4.383, + "epoch": 0.88, + "learning_rate": 7.78e-06, + "loss": 4.2985, "step": 391 }, { - "epoch": 0.44, - "learning_rate": 7.78e-06, - "loss": 4.0266, + "epoch": 0.88, + "learning_rate": 7.800000000000002e-06, + "loss": 4.1451, "step": 392 }, { - "epoch": 0.44, - "learning_rate": 7.800000000000002e-06, - "loss": 4.2173, + "epoch": 0.88, + "learning_rate": 7.820000000000001e-06, + "loss": 4.1401, "step": 393 }, { - "epoch": 0.44, - "learning_rate": 7.820000000000001e-06, - "loss": 4.353, + "epoch": 0.88, + "learning_rate": 7.840000000000001e-06, + "loss": 4.2258, "step": 394 }, { - "epoch": 0.44, - "learning_rate": 7.840000000000001e-06, - "loss": 4.4657, + "epoch": 0.89, + "learning_rate": 7.860000000000001e-06, + "loss": 4.3488, "step": 395 }, { - "epoch": 0.44, - "learning_rate": 7.860000000000001e-06, - "loss": 4.2373, + "epoch": 0.89, + "learning_rate": 7.88e-06, + "loss": 4.3106, "step": 396 }, { - "epoch": 0.45, - "learning_rate": 7.88e-06, - "loss": 4.2282, + "epoch": 0.89, + "learning_rate": 7.9e-06, + "loss": 4.4439, "step": 397 }, { - "epoch": 0.45, - "learning_rate": 7.9e-06, - "loss": 4.7703, + "epoch": 0.89, + "learning_rate": 7.92e-06, + "loss": 4.4548, "step": 398 }, { - "epoch": 0.45, - "learning_rate": 7.92e-06, - "loss": 4.4753, + "epoch": 0.89, + "learning_rate": 7.94e-06, + "loss": 4.5917, "step": 399 }, { - "epoch": 0.45, - "learning_rate": 7.94e-06, - "loss": 4.5751, + "epoch": 0.9, + "learning_rate": 7.960000000000002e-06, + "loss": 4.5111, "step": 400 }, { - "epoch": 0.45, - "learning_rate": 7.960000000000002e-06, - "loss": 4.2925, + "epoch": 0.9, + "learning_rate": 7.980000000000002e-06, + "loss": 4.2176, "step": 401 }, { - "epoch": 0.45, - "learning_rate": 7.980000000000002e-06, - "loss": 4.146, + "epoch": 0.9, + "learning_rate": 8.000000000000001e-06, + "loss": 4.0665, "step": 402 }, { - "epoch": 0.45, - "learning_rate": 8.000000000000001e-06, - "loss": 4.2272, + "epoch": 0.9, + "learning_rate": 8.020000000000001e-06, + "loss": 4.1243, "step": 403 }, { - "epoch": 0.45, - "learning_rate": 8.020000000000001e-06, - "loss": 4.1373, + "epoch": 0.91, + "learning_rate": 8.040000000000001e-06, + "loss": 4.1244, "step": 404 }, { - "epoch": 0.45, - "learning_rate": 8.040000000000001e-06, - "loss": 4.313, + "epoch": 0.91, + "learning_rate": 8.06e-06, + "loss": 4.0896, "step": 405 }, { - "epoch": 0.46, - "learning_rate": 8.06e-06, - "loss": 4.1998, + "epoch": 0.91, + "learning_rate": 8.08e-06, + "loss": 4.1743, "step": 406 }, { - "epoch": 0.46, - "learning_rate": 8.08e-06, - "loss": 4.2171, + "epoch": 0.91, + "learning_rate": 8.1e-06, + "loss": 4.1469, "step": 407 }, { - "epoch": 0.46, - "learning_rate": 8.1e-06, - "loss": 4.1043, + "epoch": 0.91, + "learning_rate": 8.120000000000002e-06, + "loss": 4.2224, "step": 408 }, { - "epoch": 0.46, - "learning_rate": 8.120000000000002e-06, - "loss": 4.2893, + "epoch": 0.92, + "learning_rate": 8.14e-06, + "loss": 4.1593, "step": 409 }, { - "epoch": 0.46, - "learning_rate": 8.14e-06, - "loss": 4.2159, + "epoch": 0.92, + "learning_rate": 8.16e-06, + "loss": 4.1418, "step": 410 }, { - "epoch": 0.46, - "learning_rate": 8.16e-06, - "loss": 4.0993, + "epoch": 0.92, + "learning_rate": 8.18e-06, + "loss": 4.3698, "step": 411 }, { - "epoch": 0.46, - "learning_rate": 8.18e-06, - "loss": 4.2023, + "epoch": 0.92, + "learning_rate": 8.2e-06, + "loss": 4.1025, "step": 412 }, { - "epoch": 0.46, - "learning_rate": 8.2e-06, - "loss": 4.205, + "epoch": 0.93, + "learning_rate": 8.220000000000001e-06, + "loss": 4.0313, "step": 413 }, { - "epoch": 0.46, - "learning_rate": 8.220000000000001e-06, - "loss": 4.0813, + "epoch": 0.93, + "learning_rate": 8.24e-06, + "loss": 4.192, "step": 414 }, { - "epoch": 0.47, - "learning_rate": 8.24e-06, - "loss": 4.0771, + "epoch": 0.93, + "learning_rate": 8.26e-06, + "loss": 4.2583, "step": 415 }, { - "epoch": 0.47, - "learning_rate": 8.26e-06, - "loss": 4.3072, + "epoch": 0.93, + "learning_rate": 8.28e-06, + "loss": 4.1274, "step": 416 }, { - "epoch": 0.47, - "learning_rate": 8.28e-06, - "loss": 4.1095, + "epoch": 0.93, + "learning_rate": 8.3e-06, + "loss": 4.152, "step": 417 }, { - "epoch": 0.47, - "learning_rate": 8.3e-06, - "loss": 4.241, + "epoch": 0.94, + "learning_rate": 8.32e-06, + "loss": 4.0524, "step": 418 }, { - "epoch": 0.47, - "learning_rate": 8.32e-06, - "loss": 4.1763, + "epoch": 0.94, + "learning_rate": 8.34e-06, + "loss": 4.1577, "step": 419 }, { - "epoch": 0.47, - "learning_rate": 8.34e-06, - "loss": 4.2173, + "epoch": 0.94, + "learning_rate": 8.36e-06, + "loss": 4.0665, "step": 420 }, { - "epoch": 0.47, - "learning_rate": 8.36e-06, - "loss": 4.2836, + "epoch": 0.94, + "learning_rate": 8.380000000000001e-06, + "loss": 4.2451, "step": 421 }, { - "epoch": 0.47, - "learning_rate": 8.380000000000001e-06, - "loss": 4.2942, + "epoch": 0.95, + "learning_rate": 8.400000000000001e-06, + "loss": 4.0875, "step": 422 }, { - "epoch": 0.47, - "learning_rate": 8.400000000000001e-06, - "loss": 4.2181, + "epoch": 0.95, + "learning_rate": 8.42e-06, + "loss": 4.1906, "step": 423 }, { - "epoch": 0.48, - "learning_rate": 8.42e-06, - "loss": 4.219, + "epoch": 0.95, + "learning_rate": 8.44e-06, + "loss": 4.2461, "step": 424 }, { - "epoch": 0.48, - "learning_rate": 8.44e-06, - "loss": 4.2753, + "epoch": 0.95, + "learning_rate": 8.46e-06, + "loss": 4.1716, "step": 425 }, { - "epoch": 0.48, - "learning_rate": 8.46e-06, - "loss": 4.3047, + "epoch": 0.96, + "learning_rate": 8.48e-06, + "loss": 4.2216, "step": 426 }, { - "epoch": 0.48, - "learning_rate": 8.48e-06, - "loss": 4.1395, + "epoch": 0.96, + "learning_rate": 8.5e-06, + "loss": 4.18, "step": 427 }, { - "epoch": 0.48, - "learning_rate": 8.5e-06, - "loss": 4.3815, + "epoch": 0.96, + "learning_rate": 8.52e-06, + "loss": 4.1531, "step": 428 }, { - "epoch": 0.48, - "learning_rate": 8.52e-06, - "loss": 4.1654, + "epoch": 0.96, + "learning_rate": 8.540000000000001e-06, + "loss": 4.104, "step": 429 }, { - "epoch": 0.48, - "learning_rate": 8.540000000000001e-06, - "loss": 4.3267, + "epoch": 0.96, + "learning_rate": 8.560000000000001e-06, + "loss": 4.1649, "step": 430 }, { - "epoch": 0.48, - "learning_rate": 8.560000000000001e-06, - "loss": 4.414, + "epoch": 0.97, + "learning_rate": 8.580000000000001e-06, + "loss": 4.2599, "step": 431 }, { - "epoch": 0.48, - "learning_rate": 8.580000000000001e-06, - "loss": 4.26, + "epoch": 0.97, + "learning_rate": 8.6e-06, + "loss": 4.3766, "step": 432 }, { - "epoch": 0.49, - "learning_rate": 8.6e-06, - "loss": 3.976, + "epoch": 0.97, + "learning_rate": 8.62e-06, + "loss": 4.1677, "step": 433 }, { - "epoch": 0.49, - "learning_rate": 8.62e-06, - "loss": 4.206, + "epoch": 0.97, + "learning_rate": 8.64e-06, + "loss": 4.1718, "step": 434 }, { - "epoch": 0.49, - "learning_rate": 8.64e-06, - "loss": 4.1705, + "epoch": 0.98, + "learning_rate": 8.66e-06, + "loss": 4.2196, "step": 435 }, { - "epoch": 0.49, - "learning_rate": 8.66e-06, - "loss": 4.4165, + "epoch": 0.98, + "learning_rate": 8.68e-06, + "loss": 4.1337, "step": 436 }, { - "epoch": 0.49, - "learning_rate": 8.68e-06, - "loss": 4.4192, + "epoch": 0.98, + "learning_rate": 8.700000000000001e-06, + "loss": 4.1335, "step": 437 }, { - "epoch": 0.49, - "learning_rate": 8.700000000000001e-06, - "loss": 4.3003, + "epoch": 0.98, + "learning_rate": 8.720000000000001e-06, + "loss": 4.3058, "step": 438 }, { - "epoch": 0.49, - "learning_rate": 8.720000000000001e-06, - "loss": 4.1106, + "epoch": 0.98, + "learning_rate": 8.740000000000001e-06, + "loss": 4.2738, "step": 439 }, { - "epoch": 0.49, - "learning_rate": 8.740000000000001e-06, - "loss": 4.1738, + "epoch": 0.99, + "learning_rate": 8.76e-06, + "loss": 4.3081, "step": 440 }, { - "epoch": 0.49, - "learning_rate": 8.76e-06, - "loss": 4.355, + "epoch": 0.99, + "learning_rate": 8.78e-06, + "loss": 4.2582, "step": 441 }, { - "epoch": 0.5, - "learning_rate": 8.78e-06, - "loss": 4.2148, + "epoch": 0.99, + "learning_rate": 8.8e-06, + "loss": 4.4641, "step": 442 }, { - "epoch": 0.5, - "learning_rate": 8.8e-06, - "loss": 4.2945, + "epoch": 0.99, + "learning_rate": 8.82e-06, + "loss": 4.3681, "step": 443 }, { - "epoch": 0.5, - "learning_rate": 8.82e-06, - "loss": 4.4645, + "epoch": 1.0, + "learning_rate": 8.84e-06, + "loss": 4.3675, "step": 444 }, { - "epoch": 0.5, - "learning_rate": 8.84e-06, - "loss": 4.2696, + "epoch": 1.0, + "learning_rate": 8.860000000000002e-06, + "loss": 4.6441, "step": 445 }, { - "epoch": 0.5, + "epoch": 1.0, "learning_rate": 8.860000000000002e-06, - "loss": 4.1095, + "loss": 4.3047, "step": 446 }, - { - "epoch": 0.5, - "learning_rate": 8.880000000000001e-06, - "loss": 4.3117, - "step": 447 - }, - { - "epoch": 0.5, - "learning_rate": 8.900000000000001e-06, - "loss": 4.3888, - "step": 448 - }, - { - "epoch": 0.5, - "learning_rate": 8.920000000000001e-06, - "loss": 4.3431, - "step": 449 - }, - { - "epoch": 0.5, - "learning_rate": 8.94e-06, - "loss": 4.8657, - "step": 450 - }, - { - "epoch": 0.51, - "learning_rate": 8.96e-06, - "loss": 4.2217, - "step": 451 - }, - { - "epoch": 0.51, - "learning_rate": 8.98e-06, - "loss": 4.2118, - "step": 452 - }, - { - "epoch": 0.51, - "learning_rate": 9e-06, - "loss": 4.358, - "step": 453 - }, - { - "epoch": 0.51, - "learning_rate": 9.020000000000002e-06, - "loss": 4.0613, - "step": 454 - }, - { - "epoch": 0.51, - "learning_rate": 9.040000000000002e-06, - "loss": 4.3277, - "step": 455 - }, - { - "epoch": 0.51, - "learning_rate": 9.060000000000001e-06, - "loss": 4.2623, - "step": 456 - }, - { - "epoch": 0.51, - "learning_rate": 9.080000000000001e-06, - "loss": 4.2232, - "step": 457 - }, - { - "epoch": 0.51, - "learning_rate": 9.100000000000001e-06, - "loss": 4.1554, - "step": 458 - }, - { - "epoch": 0.51, - "learning_rate": 9.12e-06, - "loss": 4.1916, - "step": 459 - }, - { - "epoch": 0.52, - "learning_rate": 9.14e-06, - "loss": 4.3454, - "step": 460 - }, - { - "epoch": 0.52, - "learning_rate": 9.16e-06, - "loss": 4.1008, - "step": 461 - }, - { - "epoch": 0.52, - "learning_rate": 9.180000000000002e-06, - "loss": 4.1496, - "step": 462 - }, - { - "epoch": 0.52, - "learning_rate": 9.200000000000002e-06, - "loss": 4.1758, - "step": 463 - }, - { - "epoch": 0.52, - "learning_rate": 9.220000000000002e-06, - "loss": 4.1112, - "step": 464 - }, - { - "epoch": 0.52, - "learning_rate": 9.240000000000001e-06, - "loss": 4.1816, - "step": 465 - }, - { - "epoch": 0.52, - "learning_rate": 9.260000000000001e-06, - "loss": 4.2129, - "step": 466 - }, - { - "epoch": 0.52, - "learning_rate": 9.280000000000001e-06, - "loss": 4.1762, - "step": 467 - }, - { - "epoch": 0.52, - "learning_rate": 9.3e-06, - "loss": 4.0683, - "step": 468 - }, - { - "epoch": 0.53, - "learning_rate": 9.32e-06, - "loss": 4.1022, - "step": 469 - }, - { - "epoch": 0.53, - "learning_rate": 9.340000000000002e-06, - "loss": 4.2871, - "step": 470 - }, - { - "epoch": 0.53, - "learning_rate": 9.360000000000002e-06, - "loss": 4.0804, - "step": 471 - }, - { - "epoch": 0.53, - "learning_rate": 9.38e-06, - "loss": 4.0755, - "step": 472 - }, - { - "epoch": 0.53, - "learning_rate": 9.4e-06, - "loss": 4.1634, - "step": 473 - }, - { - "epoch": 0.53, - "learning_rate": 9.42e-06, - "loss": 4.2345, - "step": 474 - }, - { - "epoch": 0.53, - "learning_rate": 9.440000000000001e-06, - "loss": 4.191, - "step": 475 - }, - { - "epoch": 0.53, - "learning_rate": 9.460000000000001e-06, - "loss": 4.2504, - "step": 476 - }, - { - "epoch": 0.53, - "learning_rate": 9.48e-06, - "loss": 4.4041, - "step": 477 - }, - { - "epoch": 0.54, - "learning_rate": 9.5e-06, - "loss": 4.1215, - "step": 478 - }, - { - "epoch": 0.54, - "learning_rate": 9.52e-06, - "loss": 3.9798, - "step": 479 - }, - { - "epoch": 0.54, - "learning_rate": 9.54e-06, - "loss": 4.2905, - "step": 480 - }, - { - "epoch": 0.54, - "learning_rate": 9.56e-06, - "loss": 4.1178, - "step": 481 - }, - { - "epoch": 0.54, - "learning_rate": 9.58e-06, - "loss": 4.0777, - "step": 482 - }, - { - "epoch": 0.54, - "learning_rate": 9.600000000000001e-06, - "loss": 4.2803, - "step": 483 - }, - { - "epoch": 0.54, - "learning_rate": 9.620000000000001e-06, - "loss": 4.1497, - "step": 484 - }, - { - "epoch": 0.54, - "learning_rate": 9.640000000000001e-06, - "loss": 4.3243, - "step": 485 - }, - { - "epoch": 0.54, - "learning_rate": 9.66e-06, - "loss": 4.1365, - "step": 486 - }, - { - "epoch": 0.55, - "learning_rate": 9.68e-06, - "loss": 4.0382, - "step": 487 - }, - { - "epoch": 0.55, - "learning_rate": 9.7e-06, - "loss": 4.1827, - "step": 488 - }, - { - "epoch": 0.55, - "learning_rate": 9.72e-06, - "loss": 4.2169, - "step": 489 - }, - { - "epoch": 0.55, - "learning_rate": 9.74e-06, - "loss": 4.2879, - "step": 490 - }, - { - "epoch": 0.55, - "learning_rate": 9.760000000000001e-06, - "loss": 4.1137, - "step": 491 - }, - { - "epoch": 0.55, - "learning_rate": 9.780000000000001e-06, - "loss": 4.3924, - "step": 492 - }, - { - "epoch": 0.55, - "learning_rate": 9.800000000000001e-06, - "loss": 4.4231, - "step": 493 - }, - { - "epoch": 0.55, - "learning_rate": 9.820000000000001e-06, - "loss": 4.2154, - "step": 494 - }, - { - "epoch": 0.55, - "learning_rate": 9.84e-06, - "loss": 4.3733, - "step": 495 - }, - { - "epoch": 0.56, - "learning_rate": 9.86e-06, - "loss": 4.1577, - "step": 496 - }, - { - "epoch": 0.56, - "learning_rate": 9.88e-06, - "loss": 4.1023, - "step": 497 - }, - { - "epoch": 0.56, - "learning_rate": 9.9e-06, - "loss": 4.7654, - "step": 498 - }, - { - "epoch": 0.56, - "learning_rate": 9.920000000000002e-06, - "loss": 4.7262, - "step": 499 - }, - { - "epoch": 0.56, - "learning_rate": 9.940000000000001e-06, - "loss": 4.3268, - "step": 500 - }, - { - "epoch": 0.56, - "eval_loss": 4.228239059448242, - "eval_runtime": 920.7538, - "eval_samples_per_second": 2.869, - "eval_steps_per_second": 0.359, - "eval_wer": 1.9680880602935342, - "step": 500 - }, - { - "epoch": 0.56, - "learning_rate": 9.960000000000001e-06, - "loss": 4.4602, - "step": 501 - }, - { - "epoch": 0.56, - "learning_rate": 9.980000000000001e-06, - "loss": 4.1627, - "step": 502 - }, - { - "epoch": 0.56, - "learning_rate": 1e-05, - "loss": 4.2864, - "step": 503 - }, - { - "epoch": 0.57, - "learning_rate": 9.974489795918369e-06, - "loss": 4.1179, - "step": 504 - }, - { - "epoch": 0.57, - "learning_rate": 9.948979591836737e-06, - "loss": 4.1012, - "step": 505 - }, - { - "epoch": 0.57, - "learning_rate": 9.923469387755103e-06, - "loss": 4.2587, - "step": 506 - }, - { - "epoch": 0.57, - "learning_rate": 9.89795918367347e-06, - "loss": 4.2037, - "step": 507 - }, - { - "epoch": 0.57, - "learning_rate": 9.872448979591838e-06, - "loss": 4.2532, - "step": 508 - }, - { - "epoch": 0.57, - "learning_rate": 9.846938775510205e-06, - "loss": 4.1469, - "step": 509 - }, - { - "epoch": 0.57, - "learning_rate": 9.821428571428573e-06, - "loss": 4.2007, - "step": 510 - }, - { - "epoch": 0.57, - "learning_rate": 9.795918367346939e-06, - "loss": 4.1991, - "step": 511 - }, - { - "epoch": 0.57, - "learning_rate": 9.770408163265307e-06, - "loss": 4.164, - "step": 512 - }, - { - "epoch": 0.58, - "learning_rate": 9.744897959183674e-06, - "loss": 4.4233, - "step": 513 - }, - { - "epoch": 0.58, - "learning_rate": 9.719387755102042e-06, - "loss": 4.1772, - "step": 514 - }, - { - "epoch": 0.58, - "learning_rate": 9.693877551020408e-06, - "loss": 4.1559, - "step": 515 - }, - { - "epoch": 0.58, - "learning_rate": 9.668367346938776e-06, - "loss": 4.0684, - "step": 516 - }, - { - "epoch": 0.58, - "learning_rate": 9.642857142857144e-06, - "loss": 4.2825, - "step": 517 - }, - { - "epoch": 0.58, - "learning_rate": 9.617346938775512e-06, - "loss": 4.2294, - "step": 518 - }, - { - "epoch": 0.58, - "learning_rate": 9.591836734693878e-06, - "loss": 4.2505, - "step": 519 - }, - { - "epoch": 0.58, - "learning_rate": 9.566326530612246e-06, - "loss": 4.144, - "step": 520 - }, - { - "epoch": 0.58, - "learning_rate": 9.540816326530612e-06, - "loss": 4.1488, - "step": 521 - }, - { - "epoch": 0.59, - "learning_rate": 9.51530612244898e-06, - "loss": 4.1249, - "step": 522 - }, - { - "epoch": 0.59, - "learning_rate": 9.489795918367348e-06, - "loss": 4.0448, - "step": 523 - }, - { - "epoch": 0.59, - "learning_rate": 9.464285714285714e-06, - "loss": 4.2133, - "step": 524 - }, - { - "epoch": 0.59, - "learning_rate": 9.438775510204082e-06, - "loss": 4.2394, - "step": 525 - }, - { - "epoch": 0.59, - "learning_rate": 9.41326530612245e-06, - "loss": 4.0197, - "step": 526 - }, - { - "epoch": 0.59, - "learning_rate": 9.387755102040818e-06, - "loss": 4.2476, - "step": 527 - }, - { - "epoch": 0.59, - "learning_rate": 9.362244897959184e-06, - "loss": 4.2209, - "step": 528 - }, - { - "epoch": 0.59, - "learning_rate": 9.336734693877552e-06, - "loss": 4.1473, - "step": 529 - }, - { - "epoch": 0.59, - "learning_rate": 9.31122448979592e-06, - "loss": 4.4424, - "step": 530 - }, - { - "epoch": 0.6, - "learning_rate": 9.285714285714288e-06, - "loss": 4.2181, - "step": 531 - }, - { - "epoch": 0.6, - "learning_rate": 9.260204081632654e-06, - "loss": 4.0263, - "step": 532 - }, - { - "epoch": 0.6, - "learning_rate": 9.234693877551022e-06, - "loss": 4.2009, - "step": 533 - }, - { - "epoch": 0.6, - "learning_rate": 9.209183673469388e-06, - "loss": 4.0569, - "step": 534 - }, - { - "epoch": 0.6, - "learning_rate": 9.183673469387756e-06, - "loss": 4.1976, - "step": 535 - }, - { - "epoch": 0.6, - "learning_rate": 9.158163265306124e-06, - "loss": 4.2564, - "step": 536 - }, - { - "epoch": 0.6, - "learning_rate": 9.13265306122449e-06, - "loss": 4.3148, - "step": 537 - }, - { - "epoch": 0.6, - "learning_rate": 9.107142857142858e-06, - "loss": 4.3963, - "step": 538 - }, - { - "epoch": 0.6, - "learning_rate": 9.081632653061225e-06, - "loss": 4.2059, - "step": 539 - }, - { - "epoch": 0.61, - "learning_rate": 9.056122448979593e-06, - "loss": 4.3102, - "step": 540 - }, - { - "epoch": 0.61, - "learning_rate": 9.03061224489796e-06, - "loss": 4.3175, - "step": 541 - }, - { - "epoch": 0.61, - "learning_rate": 9.005102040816327e-06, - "loss": 4.3354, - "step": 542 - }, - { - "epoch": 0.61, - "learning_rate": 8.979591836734695e-06, - "loss": 4.5025, - "step": 543 - }, - { - "epoch": 0.61, - "learning_rate": 8.954081632653061e-06, - "loss": 4.3214, - "step": 544 - }, - { - "epoch": 0.61, - "learning_rate": 8.92857142857143e-06, - "loss": 4.4099, - "step": 545 - }, - { - "epoch": 0.61, - "learning_rate": 8.903061224489795e-06, - "loss": 4.4373, - "step": 546 - }, - { - "epoch": 0.61, - "learning_rate": 8.877551020408163e-06, - "loss": 4.3766, - "step": 547 - }, - { - "epoch": 0.61, - "learning_rate": 8.852040816326531e-06, - "loss": 4.7145, - "step": 548 - }, - { - "epoch": 0.62, - "learning_rate": 8.826530612244899e-06, - "loss": 4.1757, - "step": 549 - }, - { - "epoch": 0.62, - "learning_rate": 8.801020408163265e-06, - "loss": 5.1677, - "step": 550 - }, - { - "epoch": 0.62, - "learning_rate": 8.775510204081633e-06, - "loss": 3.9488, - "step": 551 - }, - { - "epoch": 0.62, - "learning_rate": 8.750000000000001e-06, - "loss": 4.3083, - "step": 552 - }, - { - "epoch": 0.62, - "learning_rate": 8.724489795918369e-06, - "loss": 4.2125, - "step": 553 - }, - { - "epoch": 0.62, - "learning_rate": 8.698979591836737e-06, - "loss": 4.1317, - "step": 554 - }, - { - "epoch": 0.62, - "learning_rate": 8.673469387755103e-06, - "loss": 4.1393, - "step": 555 - }, - { - "epoch": 0.62, - "learning_rate": 8.64795918367347e-06, - "loss": 4.1868, - "step": 556 - }, - { - "epoch": 0.62, - "learning_rate": 8.622448979591837e-06, - "loss": 4.056, - "step": 557 - }, - { - "epoch": 0.63, - "learning_rate": 8.596938775510205e-06, - "loss": 4.1679, - "step": 558 - }, - { - "epoch": 0.63, - "learning_rate": 8.571428571428571e-06, - "loss": 4.1314, - "step": 559 - }, - { - "epoch": 0.63, - "learning_rate": 8.545918367346939e-06, - "loss": 4.0573, - "step": 560 - }, - { - "epoch": 0.63, - "learning_rate": 8.520408163265307e-06, - "loss": 4.2746, - "step": 561 - }, - { - "epoch": 0.63, - "learning_rate": 8.494897959183675e-06, - "loss": 4.1251, - "step": 562 - }, - { - "epoch": 0.63, - "learning_rate": 8.469387755102042e-06, - "loss": 4.1467, - "step": 563 - }, - { - "epoch": 0.63, - "learning_rate": 8.443877551020409e-06, - "loss": 4.1499, - "step": 564 - }, - { - "epoch": 0.63, - "learning_rate": 8.418367346938776e-06, - "loss": 4.2789, - "step": 565 - }, - { - "epoch": 0.63, - "learning_rate": 8.392857142857144e-06, - "loss": 4.2684, - "step": 566 - }, - { - "epoch": 0.64, - "learning_rate": 8.36734693877551e-06, - "loss": 4.127, - "step": 567 - }, - { - "epoch": 0.64, - "learning_rate": 8.341836734693878e-06, - "loss": 4.1092, - "step": 568 - }, - { - "epoch": 0.64, - "learning_rate": 8.316326530612246e-06, - "loss": 4.2655, - "step": 569 - }, - { - "epoch": 0.64, - "learning_rate": 8.290816326530612e-06, - "loss": 4.0523, - "step": 570 - }, - { - "epoch": 0.64, - "learning_rate": 8.26530612244898e-06, - "loss": 4.0347, - "step": 571 - }, - { - "epoch": 0.64, - "learning_rate": 8.239795918367348e-06, - "loss": 4.2677, - "step": 572 - }, - { - "epoch": 0.64, - "learning_rate": 8.214285714285714e-06, - "loss": 4.0504, - "step": 573 - }, - { - "epoch": 0.64, - "learning_rate": 8.188775510204082e-06, - "loss": 4.0672, - "step": 574 - }, - { - "epoch": 0.64, - "learning_rate": 8.16326530612245e-06, - "loss": 4.228, - "step": 575 - }, - { - "epoch": 0.65, - "learning_rate": 8.137755102040818e-06, - "loss": 4.07, - "step": 576 - }, - { - "epoch": 0.65, - "learning_rate": 8.112244897959184e-06, - "loss": 4.1979, - "step": 577 - }, - { - "epoch": 0.65, - "learning_rate": 8.086734693877552e-06, - "loss": 4.2986, - "step": 578 - }, - { - "epoch": 0.65, - "learning_rate": 8.06122448979592e-06, - "loss": 3.8692, - "step": 579 - }, - { - "epoch": 0.65, - "learning_rate": 8.035714285714286e-06, - "loss": 4.3322, - "step": 580 - }, - { - "epoch": 0.65, - "learning_rate": 8.010204081632654e-06, - "loss": 4.31, - "step": 581 - }, - { - "epoch": 0.65, - "learning_rate": 7.98469387755102e-06, - "loss": 4.0711, - "step": 582 - }, - { - "epoch": 0.65, - "learning_rate": 7.959183673469388e-06, - "loss": 4.0197, - "step": 583 - }, - { - "epoch": 0.65, - "learning_rate": 7.933673469387756e-06, - "loss": 4.2065, - "step": 584 - }, - { - "epoch": 0.66, - "learning_rate": 7.908163265306124e-06, - "loss": 4.3477, - "step": 585 - }, - { - "epoch": 0.66, - "learning_rate": 7.88265306122449e-06, - "loss": 4.2166, - "step": 586 - }, - { - "epoch": 0.66, - "learning_rate": 7.857142857142858e-06, - "loss": 4.2325, - "step": 587 - }, - { - "epoch": 0.66, - "learning_rate": 7.831632653061226e-06, - "loss": 4.2987, - "step": 588 - }, - { - "epoch": 0.66, - "learning_rate": 7.806122448979593e-06, - "loss": 4.0, - "step": 589 - }, - { - "epoch": 0.66, - "learning_rate": 7.78061224489796e-06, - "loss": 4.1028, - "step": 590 - }, - { - "epoch": 0.66, - "learning_rate": 7.755102040816327e-06, - "loss": 4.2336, - "step": 591 - }, - { - "epoch": 0.66, - "learning_rate": 7.729591836734695e-06, - "loss": 4.3247, - "step": 592 - }, - { - "epoch": 0.66, - "learning_rate": 7.704081632653061e-06, - "loss": 4.5599, - "step": 593 - }, - { - "epoch": 0.67, - "learning_rate": 7.67857142857143e-06, - "loss": 4.3741, - "step": 594 - }, - { - "epoch": 0.67, - "learning_rate": 7.653061224489796e-06, - "loss": 4.3032, - "step": 595 - }, - { - "epoch": 0.67, - "learning_rate": 7.627551020408163e-06, - "loss": 4.1155, - "step": 596 - }, - { - "epoch": 0.67, - "learning_rate": 7.602040816326531e-06, - "loss": 4.2505, - "step": 597 - }, - { - "epoch": 0.67, - "learning_rate": 7.576530612244899e-06, - "loss": 4.3653, - "step": 598 - }, - { - "epoch": 0.67, - "learning_rate": 7.551020408163265e-06, - "loss": 4.3459, - "step": 599 - }, - { - "epoch": 0.67, - "learning_rate": 7.525510204081633e-06, - "loss": 4.2851, - "step": 600 - }, - { - "epoch": 0.67, - "learning_rate": 7.500000000000001e-06, - "loss": 4.2087, - "step": 601 - }, - { - "epoch": 0.67, - "learning_rate": 7.474489795918368e-06, - "loss": 4.0383, - "step": 602 - }, - { - "epoch": 0.68, - "learning_rate": 7.448979591836736e-06, - "loss": 4.1835, - "step": 603 - }, - { - "epoch": 0.68, - "learning_rate": 7.423469387755102e-06, - "loss": 4.1534, - "step": 604 - }, - { - "epoch": 0.68, - "learning_rate": 7.39795918367347e-06, - "loss": 4.1189, - "step": 605 - }, - { - "epoch": 0.68, - "learning_rate": 7.372448979591838e-06, - "loss": 4.1494, - "step": 606 - }, - { - "epoch": 0.68, - "learning_rate": 7.346938775510205e-06, - "loss": 4.1877, - "step": 607 - }, - { - "epoch": 0.68, - "learning_rate": 7.321428571428572e-06, - "loss": 4.1186, - "step": 608 - }, - { - "epoch": 0.68, - "learning_rate": 7.295918367346939e-06, - "loss": 4.1042, - "step": 609 - }, - { - "epoch": 0.68, - "learning_rate": 7.270408163265307e-06, - "loss": 4.1356, - "step": 610 - }, - { - "epoch": 0.68, - "learning_rate": 7.244897959183675e-06, - "loss": 4.0916, - "step": 611 - }, - { - "epoch": 0.69, - "learning_rate": 7.219387755102042e-06, - "loss": 4.2797, - "step": 612 - }, - { - "epoch": 0.69, - "learning_rate": 7.193877551020409e-06, - "loss": 4.2055, - "step": 613 - }, - { - "epoch": 0.69, - "learning_rate": 7.168367346938776e-06, - "loss": 4.2332, - "step": 614 - }, - { - "epoch": 0.69, - "learning_rate": 7.1428571428571436e-06, - "loss": 4.1259, - "step": 615 - }, - { - "epoch": 0.69, - "learning_rate": 7.1173469387755114e-06, - "loss": 4.1521, - "step": 616 - }, - { - "epoch": 0.69, - "learning_rate": 7.091836734693878e-06, - "loss": 4.0654, - "step": 617 - }, - { - "epoch": 0.69, - "learning_rate": 7.0663265306122455e-06, - "loss": 4.1303, - "step": 618 - }, - { - "epoch": 0.69, - "learning_rate": 7.0408163265306125e-06, - "loss": 4.0865, - "step": 619 - }, - { - "epoch": 0.7, - "learning_rate": 7.01530612244898e-06, - "loss": 4.1392, - "step": 620 - }, - { - "epoch": 0.7, - "learning_rate": 6.989795918367348e-06, - "loss": 4.1308, - "step": 621 - }, - { - "epoch": 0.7, - "learning_rate": 6.964285714285714e-06, - "loss": 4.0555, - "step": 622 - }, - { - "epoch": 0.7, - "learning_rate": 6.938775510204082e-06, - "loss": 4.2929, - "step": 623 - }, - { - "epoch": 0.7, - "learning_rate": 6.91326530612245e-06, - "loss": 4.1076, - "step": 624 - }, - { - "epoch": 0.7, - "learning_rate": 6.887755102040817e-06, - "loss": 4.2519, - "step": 625 - }, - { - "epoch": 0.7, - "learning_rate": 6.862244897959184e-06, - "loss": 4.2675, - "step": 626 - }, - { - "epoch": 0.7, - "learning_rate": 6.836734693877551e-06, - "loss": 4.2299, - "step": 627 - }, - { - "epoch": 0.7, - "learning_rate": 6.811224489795919e-06, - "loss": 4.1654, - "step": 628 - }, - { - "epoch": 0.71, - "learning_rate": 6.785714285714287e-06, - "loss": 4.1816, - "step": 629 - }, - { - "epoch": 0.71, - "learning_rate": 6.760204081632653e-06, - "loss": 4.2973, - "step": 630 - }, - { - "epoch": 0.71, - "learning_rate": 6.734693877551021e-06, - "loss": 4.2669, - "step": 631 - }, - { - "epoch": 0.71, - "learning_rate": 6.709183673469388e-06, - "loss": 4.1018, - "step": 632 - }, - { - "epoch": 0.71, - "learning_rate": 6.683673469387756e-06, - "loss": 4.2136, - "step": 633 - }, - { - "epoch": 0.71, - "learning_rate": 6.658163265306124e-06, - "loss": 4.1718, - "step": 634 - }, - { - "epoch": 0.71, - "learning_rate": 6.63265306122449e-06, - "loss": 4.2685, - "step": 635 - }, - { - "epoch": 0.71, - "learning_rate": 6.607142857142858e-06, - "loss": 4.2419, - "step": 636 - }, - { - "epoch": 0.71, - "learning_rate": 6.581632653061225e-06, - "loss": 4.1071, - "step": 637 - }, - { - "epoch": 0.72, - "learning_rate": 6.556122448979593e-06, - "loss": 4.0533, - "step": 638 - }, - { - "epoch": 0.72, - "learning_rate": 6.530612244897959e-06, - "loss": 4.2629, - "step": 639 - }, - { - "epoch": 0.72, - "learning_rate": 6.505102040816327e-06, - "loss": 4.0422, - "step": 640 - }, - { - "epoch": 0.72, - "learning_rate": 6.4795918367346946e-06, - "loss": 4.223, - "step": 641 - }, - { - "epoch": 0.72, - "learning_rate": 6.454081632653062e-06, - "loss": 4.5604, - "step": 642 - }, - { - "epoch": 0.72, - "learning_rate": 6.4285714285714295e-06, - "loss": 4.3802, - "step": 643 - }, - { - "epoch": 0.72, - "learning_rate": 6.403061224489796e-06, - "loss": 4.1618, - "step": 644 - }, - { - "epoch": 0.72, - "learning_rate": 6.3775510204081635e-06, - "loss": 4.011, - "step": 645 - }, - { - "epoch": 0.72, - "learning_rate": 6.352040816326531e-06, - "loss": 4.3477, - "step": 646 - }, - { - "epoch": 0.73, - "learning_rate": 6.326530612244899e-06, - "loss": 4.2592, - "step": 647 - }, - { - "epoch": 0.73, - "learning_rate": 6.301020408163265e-06, - "loss": 4.1053, - "step": 648 - }, - { - "epoch": 0.73, - "learning_rate": 6.275510204081633e-06, - "loss": 4.5911, - "step": 649 - }, - { - "epoch": 0.73, - "learning_rate": 6.25e-06, - "loss": 4.4, - "step": 650 - }, - { - "epoch": 0.73, - "learning_rate": 6.224489795918368e-06, - "loss": 4.2669, - "step": 651 - }, - { - "epoch": 0.73, - "learning_rate": 6.198979591836736e-06, - "loss": 4.2794, - "step": 652 - }, - { - "epoch": 0.73, - "learning_rate": 6.173469387755102e-06, - "loss": 4.2399, - "step": 653 - }, - { - "epoch": 0.73, - "learning_rate": 6.14795918367347e-06, - "loss": 4.2069, - "step": 654 - }, - { - "epoch": 0.73, - "learning_rate": 6.122448979591837e-06, - "loss": 4.1954, - "step": 655 - }, - { - "epoch": 0.74, - "learning_rate": 6.096938775510205e-06, - "loss": 4.1589, - "step": 656 - }, - { - "epoch": 0.74, - "learning_rate": 6.071428571428571e-06, - "loss": 4.0785, - "step": 657 - }, - { - "epoch": 0.74, - "learning_rate": 6.045918367346939e-06, - "loss": 4.3309, - "step": 658 - }, - { - "epoch": 0.74, - "learning_rate": 6.020408163265307e-06, - "loss": 4.1584, - "step": 659 - }, - { - "epoch": 0.74, - "learning_rate": 5.994897959183674e-06, - "loss": 4.2442, - "step": 660 - }, - { - "epoch": 0.74, - "learning_rate": 5.969387755102042e-06, - "loss": 4.0299, - "step": 661 - }, - { - "epoch": 0.74, - "learning_rate": 5.943877551020408e-06, - "loss": 4.0324, - "step": 662 - }, - { - "epoch": 0.74, - "learning_rate": 5.918367346938776e-06, - "loss": 4.2622, - "step": 663 - }, - { - "epoch": 0.74, - "learning_rate": 5.892857142857144e-06, - "loss": 4.0929, - "step": 664 - }, - { - "epoch": 0.75, - "learning_rate": 5.867346938775511e-06, - "loss": 4.0442, - "step": 665 - }, - { - "epoch": 0.75, - "learning_rate": 5.841836734693878e-06, - "loss": 4.3026, - "step": 666 - }, - { - "epoch": 0.75, - "learning_rate": 5.816326530612246e-06, - "loss": 4.0586, - "step": 667 - }, - { - "epoch": 0.75, - "learning_rate": 5.790816326530613e-06, - "loss": 4.2993, - "step": 668 - }, - { - "epoch": 0.75, - "learning_rate": 5.7653061224489805e-06, - "loss": 4.2909, - "step": 669 - }, - { - "epoch": 0.75, - "learning_rate": 5.739795918367348e-06, - "loss": 4.2345, - "step": 670 - }, - { - "epoch": 0.75, - "learning_rate": 5.7142857142857145e-06, - "loss": 4.1124, - "step": 671 - }, - { - "epoch": 0.75, - "learning_rate": 5.688775510204082e-06, - "loss": 3.9775, - "step": 672 - }, - { - "epoch": 0.75, - "learning_rate": 5.663265306122449e-06, - "loss": 4.0079, - "step": 673 - }, - { - "epoch": 0.76, - "learning_rate": 5.637755102040817e-06, - "loss": 4.0691, - "step": 674 - }, - { - "epoch": 0.76, - "learning_rate": 5.6122448979591834e-06, - "loss": 4.0466, - "step": 675 - }, - { - "epoch": 0.76, - "learning_rate": 5.586734693877551e-06, - "loss": 4.166, - "step": 676 - }, - { - "epoch": 0.76, - "learning_rate": 5.561224489795919e-06, - "loss": 4.0409, - "step": 677 - }, - { - "epoch": 0.76, - "learning_rate": 5.535714285714286e-06, - "loss": 3.9967, - "step": 678 - }, - { - "epoch": 0.76, - "learning_rate": 5.510204081632653e-06, - "loss": 4.0257, - "step": 679 - }, - { - "epoch": 0.76, - "learning_rate": 5.48469387755102e-06, - "loss": 4.0889, - "step": 680 - }, - { - "epoch": 0.76, - "learning_rate": 5.459183673469388e-06, - "loss": 4.3042, - "step": 681 - }, - { - "epoch": 0.76, - "learning_rate": 5.433673469387756e-06, - "loss": 4.0469, - "step": 682 - }, - { - "epoch": 0.77, - "learning_rate": 5.408163265306123e-06, - "loss": 4.1806, - "step": 683 - }, - { - "epoch": 0.77, - "learning_rate": 5.38265306122449e-06, - "loss": 4.1818, - "step": 684 - }, - { - "epoch": 0.77, - "learning_rate": 5.357142857142857e-06, - "loss": 4.2281, - "step": 685 - }, - { - "epoch": 0.77, - "learning_rate": 5.331632653061225e-06, - "loss": 4.1242, - "step": 686 - }, - { - "epoch": 0.77, - "learning_rate": 5.306122448979593e-06, - "loss": 4.2261, - "step": 687 - }, - { - "epoch": 0.77, - "learning_rate": 5.280612244897959e-06, - "loss": 4.2931, - "step": 688 - }, - { - "epoch": 0.77, - "learning_rate": 5.255102040816327e-06, - "loss": 4.2491, - "step": 689 - }, - { - "epoch": 0.77, - "learning_rate": 5.229591836734695e-06, - "loss": 4.3815, - "step": 690 - }, - { - "epoch": 0.77, - "learning_rate": 5.204081632653062e-06, - "loss": 4.1046, - "step": 691 - }, - { - "epoch": 0.78, - "learning_rate": 5.1785714285714296e-06, - "loss": 4.2037, - "step": 692 - }, - { - "epoch": 0.78, - "learning_rate": 5.153061224489796e-06, - "loss": 4.1736, - "step": 693 - }, - { - "epoch": 0.78, - "learning_rate": 5.127551020408164e-06, - "loss": 4.4844, - "step": 694 - }, - { - "epoch": 0.78, - "learning_rate": 5.1020408163265315e-06, - "loss": 4.2122, - "step": 695 - }, - { - "epoch": 0.78, - "learning_rate": 5.0765306122448985e-06, - "loss": 4.3424, - "step": 696 - }, - { - "epoch": 0.78, - "learning_rate": 5.0510204081632655e-06, - "loss": 4.3975, - "step": 697 - }, - { - "epoch": 0.78, - "learning_rate": 5.0255102040816325e-06, - "loss": 4.3493, - "step": 698 - }, - { - "epoch": 0.78, - "learning_rate": 5e-06, - "loss": 4.3533, - "step": 699 - }, - { - "epoch": 0.78, - "learning_rate": 4.974489795918368e-06, - "loss": 4.55, - "step": 700 - }, - { - "epoch": 0.79, - "learning_rate": 4.948979591836735e-06, - "loss": 4.1124, - "step": 701 - }, - { - "epoch": 0.79, - "learning_rate": 4.923469387755102e-06, - "loss": 4.1696, - "step": 702 - }, - { - "epoch": 0.79, - "learning_rate": 4.897959183673469e-06, - "loss": 4.0838, - "step": 703 - }, - { - "epoch": 0.79, - "learning_rate": 4.872448979591837e-06, - "loss": 3.9315, - "step": 704 - }, - { - "epoch": 0.79, - "learning_rate": 4.846938775510204e-06, - "loss": 4.0708, - "step": 705 - }, - { - "epoch": 0.79, - "learning_rate": 4.821428571428572e-06, - "loss": 4.2055, - "step": 706 - }, - { - "epoch": 0.79, - "learning_rate": 4.795918367346939e-06, - "loss": 4.1657, - "step": 707 - }, - { - "epoch": 0.79, - "learning_rate": 4.770408163265306e-06, - "loss": 4.1916, - "step": 708 - }, - { - "epoch": 0.79, - "learning_rate": 4.744897959183674e-06, - "loss": 4.0709, - "step": 709 - }, - { - "epoch": 0.8, - "learning_rate": 4.719387755102041e-06, - "loss": 4.1493, - "step": 710 - }, - { - "epoch": 0.8, - "learning_rate": 4.693877551020409e-06, - "loss": 4.0559, - "step": 711 - }, - { - "epoch": 0.8, - "learning_rate": 4.668367346938776e-06, - "loss": 4.1486, - "step": 712 - }, - { - "epoch": 0.8, - "learning_rate": 4.642857142857144e-06, - "loss": 4.0489, - "step": 713 - }, - { - "epoch": 0.8, - "learning_rate": 4.617346938775511e-06, - "loss": 4.2475, - "step": 714 - }, - { - "epoch": 0.8, - "learning_rate": 4.591836734693878e-06, - "loss": 4.2727, - "step": 715 - }, - { - "epoch": 0.8, - "learning_rate": 4.566326530612245e-06, - "loss": 4.0665, - "step": 716 - }, - { - "epoch": 0.8, - "learning_rate": 4.540816326530613e-06, - "loss": 4.3117, - "step": 717 - }, - { - "epoch": 0.8, - "learning_rate": 4.51530612244898e-06, - "loss": 4.1286, - "step": 718 - }, - { - "epoch": 0.81, - "learning_rate": 4.489795918367348e-06, - "loss": 3.8977, - "step": 719 - }, - { - "epoch": 0.81, - "learning_rate": 4.464285714285715e-06, - "loss": 4.186, - "step": 720 - }, - { - "epoch": 0.81, - "learning_rate": 4.438775510204082e-06, - "loss": 3.9928, - "step": 721 - }, - { - "epoch": 0.81, - "learning_rate": 4.4132653061224495e-06, - "loss": 4.0517, - "step": 722 - }, - { - "epoch": 0.81, - "learning_rate": 4.3877551020408165e-06, - "loss": 4.1138, - "step": 723 - }, - { - "epoch": 0.81, - "learning_rate": 4.362244897959184e-06, - "loss": 4.2047, - "step": 724 - }, - { - "epoch": 0.81, - "learning_rate": 4.336734693877551e-06, - "loss": 4.1134, - "step": 725 - }, - { - "epoch": 0.81, - "learning_rate": 4.3112244897959184e-06, - "loss": 4.1869, - "step": 726 - }, - { - "epoch": 0.82, - "learning_rate": 4.2857142857142855e-06, - "loss": 4.1596, - "step": 727 - }, - { - "epoch": 0.82, - "learning_rate": 4.260204081632653e-06, - "loss": 4.1462, - "step": 728 - }, - { - "epoch": 0.82, - "learning_rate": 4.234693877551021e-06, - "loss": 3.995, - "step": 729 - }, - { - "epoch": 0.82, - "learning_rate": 4.209183673469388e-06, - "loss": 4.2226, - "step": 730 - }, - { - "epoch": 0.82, - "learning_rate": 4.183673469387755e-06, - "loss": 4.2854, - "step": 731 - }, - { - "epoch": 0.82, - "learning_rate": 4.158163265306123e-06, - "loss": 4.1906, - "step": 732 - }, - { - "epoch": 0.82, - "learning_rate": 4.13265306122449e-06, - "loss": 4.1204, - "step": 733 - }, - { - "epoch": 0.82, - "learning_rate": 4.107142857142857e-06, - "loss": 4.2558, - "step": 734 - }, - { - "epoch": 0.82, - "learning_rate": 4.081632653061225e-06, - "loss": 4.009, - "step": 735 - }, - { - "epoch": 0.83, - "learning_rate": 4.056122448979592e-06, - "loss": 4.1341, - "step": 736 - }, - { - "epoch": 0.83, - "learning_rate": 4.03061224489796e-06, - "loss": 4.3323, - "step": 737 - }, - { - "epoch": 0.83, - "learning_rate": 4.005102040816327e-06, - "loss": 4.1847, - "step": 738 - }, - { - "epoch": 0.83, - "learning_rate": 3.979591836734694e-06, - "loss": 4.0944, - "step": 739 - }, - { - "epoch": 0.83, - "learning_rate": 3.954081632653062e-06, - "loss": 4.2967, - "step": 740 - }, - { - "epoch": 0.83, - "learning_rate": 3.928571428571429e-06, - "loss": 4.2602, - "step": 741 - }, - { - "epoch": 0.83, - "learning_rate": 3.903061224489797e-06, - "loss": 4.1164, - "step": 742 - }, - { - "epoch": 0.83, - "learning_rate": 3.877551020408164e-06, - "loss": 4.0042, - "step": 743 - }, - { - "epoch": 0.83, - "learning_rate": 3.852040816326531e-06, - "loss": 4.146, - "step": 744 - }, - { - "epoch": 0.84, - "learning_rate": 3.826530612244898e-06, - "loss": 4.241, - "step": 745 - }, - { - "epoch": 0.84, - "learning_rate": 3.8010204081632656e-06, - "loss": 4.4222, - "step": 746 - }, - { - "epoch": 0.84, - "learning_rate": 3.7755102040816327e-06, - "loss": 4.2069, - "step": 747 - }, - { - "epoch": 0.84, - "learning_rate": 3.7500000000000005e-06, - "loss": 4.4836, - "step": 748 - }, - { - "epoch": 0.84, - "learning_rate": 3.724489795918368e-06, - "loss": 4.4231, - "step": 749 - }, - { - "epoch": 0.84, - "learning_rate": 3.698979591836735e-06, - "loss": 4.3741, - "step": 750 - }, - { - "epoch": 0.84, - "learning_rate": 3.6734693877551024e-06, - "loss": 4.2393, - "step": 751 - }, - { - "epoch": 0.84, - "learning_rate": 3.6479591836734694e-06, - "loss": 4.2289, - "step": 752 - }, - { - "epoch": 0.84, - "learning_rate": 3.6224489795918373e-06, - "loss": 4.1617, - "step": 753 - }, - { - "epoch": 0.85, - "learning_rate": 3.5969387755102043e-06, - "loss": 4.0349, - "step": 754 - }, - { - "epoch": 0.85, - "learning_rate": 3.5714285714285718e-06, - "loss": 4.2334, - "step": 755 - }, - { - "epoch": 0.85, - "learning_rate": 3.545918367346939e-06, - "loss": 4.2539, - "step": 756 - }, - { - "epoch": 0.85, - "learning_rate": 3.5204081632653062e-06, - "loss": 4.1684, - "step": 757 - }, - { - "epoch": 0.85, - "learning_rate": 3.494897959183674e-06, - "loss": 4.2257, - "step": 758 - }, - { - "epoch": 0.85, - "learning_rate": 3.469387755102041e-06, - "loss": 4.0784, - "step": 759 - }, - { - "epoch": 0.85, - "learning_rate": 3.4438775510204086e-06, - "loss": 4.1651, - "step": 760 - }, - { - "epoch": 0.85, - "learning_rate": 3.4183673469387756e-06, - "loss": 4.0865, - "step": 761 - }, - { - "epoch": 0.85, - "learning_rate": 3.3928571428571435e-06, - "loss": 4.1835, - "step": 762 - }, - { - "epoch": 0.86, - "learning_rate": 3.3673469387755105e-06, - "loss": 4.0762, - "step": 763 - }, - { - "epoch": 0.86, - "learning_rate": 3.341836734693878e-06, - "loss": 4.1157, - "step": 764 - }, - { - "epoch": 0.86, - "learning_rate": 3.316326530612245e-06, - "loss": 4.1859, - "step": 765 - }, - { - "epoch": 0.86, - "learning_rate": 3.2908163265306124e-06, - "loss": 4.1285, - "step": 766 - }, - { - "epoch": 0.86, - "learning_rate": 3.2653061224489794e-06, - "loss": 4.1179, - "step": 767 - }, - { - "epoch": 0.86, - "learning_rate": 3.2397959183673473e-06, - "loss": 4.1538, - "step": 768 - }, - { - "epoch": 0.86, - "learning_rate": 3.2142857142857147e-06, - "loss": 4.1982, - "step": 769 - }, - { - "epoch": 0.86, - "learning_rate": 3.1887755102040818e-06, - "loss": 4.0693, - "step": 770 - }, - { - "epoch": 0.86, - "learning_rate": 3.1632653061224496e-06, - "loss": 4.1364, - "step": 771 - }, - { - "epoch": 0.87, - "learning_rate": 3.1377551020408166e-06, - "loss": 4.264, - "step": 772 - }, - { - "epoch": 0.87, - "learning_rate": 3.112244897959184e-06, - "loss": 4.2401, - "step": 773 - }, - { - "epoch": 0.87, - "learning_rate": 3.086734693877551e-06, - "loss": 3.9516, - "step": 774 - }, - { - "epoch": 0.87, - "learning_rate": 3.0612244897959185e-06, - "loss": 4.0435, - "step": 775 - }, - { - "epoch": 0.87, - "learning_rate": 3.0357142857142856e-06, - "loss": 4.1435, - "step": 776 - }, - { - "epoch": 0.87, - "learning_rate": 3.0102040816326534e-06, - "loss": 3.9758, - "step": 777 - }, - { - "epoch": 0.87, - "learning_rate": 2.984693877551021e-06, - "loss": 4.1771, - "step": 778 - }, - { - "epoch": 0.87, - "learning_rate": 2.959183673469388e-06, - "loss": 4.028, - "step": 779 - }, - { - "epoch": 0.87, - "learning_rate": 2.9336734693877553e-06, - "loss": 4.0337, - "step": 780 - }, - { - "epoch": 0.88, - "learning_rate": 2.908163265306123e-06, - "loss": 4.0541, - "step": 781 - }, - { - "epoch": 0.88, - "learning_rate": 2.8826530612244902e-06, - "loss": 4.1735, - "step": 782 - }, - { - "epoch": 0.88, - "learning_rate": 2.8571428571428573e-06, - "loss": 4.1014, - "step": 783 - }, - { - "epoch": 0.88, - "learning_rate": 2.8316326530612247e-06, - "loss": 4.1063, - "step": 784 - }, - { - "epoch": 0.88, - "learning_rate": 2.8061224489795917e-06, - "loss": 4.0727, - "step": 785 - }, - { - "epoch": 0.88, - "learning_rate": 2.7806122448979596e-06, - "loss": 3.9978, - "step": 786 - }, - { - "epoch": 0.88, - "learning_rate": 2.7551020408163266e-06, - "loss": 4.1545, - "step": 787 - }, - { - "epoch": 0.88, - "learning_rate": 2.729591836734694e-06, - "loss": 4.1971, - "step": 788 - }, - { - "epoch": 0.88, - "learning_rate": 2.7040816326530615e-06, - "loss": 4.0807, - "step": 789 - }, - { - "epoch": 0.89, - "learning_rate": 2.6785714285714285e-06, - "loss": 4.1616, - "step": 790 - }, - { - "epoch": 0.89, - "learning_rate": 2.6530612244897964e-06, - "loss": 4.1776, - "step": 791 - }, - { - "epoch": 0.89, - "learning_rate": 2.6275510204081634e-06, - "loss": 3.9967, - "step": 792 - }, - { - "epoch": 0.89, - "learning_rate": 2.602040816326531e-06, - "loss": 4.1897, - "step": 793 - }, - { - "epoch": 0.89, - "learning_rate": 2.576530612244898e-06, - "loss": 4.2856, - "step": 794 - }, - { - "epoch": 0.89, - "learning_rate": 2.5510204081632657e-06, - "loss": 4.3239, - "step": 795 - }, - { - "epoch": 0.89, - "learning_rate": 2.5255102040816328e-06, - "loss": 4.2239, - "step": 796 - }, - { - "epoch": 0.89, - "learning_rate": 2.5e-06, - "loss": 4.3134, - "step": 797 - }, - { - "epoch": 0.89, - "learning_rate": 2.4744897959183676e-06, - "loss": 4.4016, - "step": 798 - }, - { - "epoch": 0.9, - "learning_rate": 2.4489795918367347e-06, - "loss": 4.7601, - "step": 799 - }, - { - "epoch": 0.9, - "learning_rate": 2.423469387755102e-06, - "loss": 4.5584, - "step": 800 - }, - { - "epoch": 0.9, - "learning_rate": 2.3979591836734696e-06, - "loss": 4.173, - "step": 801 - }, - { - "epoch": 0.9, - "learning_rate": 2.372448979591837e-06, - "loss": 4.0763, - "step": 802 - }, - { - "epoch": 0.9, - "learning_rate": 2.3469387755102044e-06, - "loss": 4.0927, - "step": 803 - }, - { - "epoch": 0.9, - "learning_rate": 2.321428571428572e-06, - "loss": 4.1416, - "step": 804 - }, - { - "epoch": 0.9, - "learning_rate": 2.295918367346939e-06, - "loss": 3.9634, - "step": 805 - }, - { - "epoch": 0.9, - "learning_rate": 2.2704081632653064e-06, - "loss": 4.1256, - "step": 806 - }, - { - "epoch": 0.9, - "learning_rate": 2.244897959183674e-06, - "loss": 4.2027, - "step": 807 - }, - { - "epoch": 0.91, - "learning_rate": 2.219387755102041e-06, - "loss": 4.0409, - "step": 808 - }, - { - "epoch": 0.91, - "learning_rate": 2.1938775510204083e-06, - "loss": 4.2505, - "step": 809 - }, - { - "epoch": 0.91, - "learning_rate": 2.1683673469387757e-06, - "loss": 4.0677, - "step": 810 - }, - { - "epoch": 0.91, - "learning_rate": 2.1428571428571427e-06, - "loss": 4.3241, - "step": 811 - }, - { - "epoch": 0.91, - "learning_rate": 2.1173469387755106e-06, - "loss": 4.1454, - "step": 812 - }, - { - "epoch": 0.91, - "learning_rate": 2.0918367346938776e-06, - "loss": 3.9713, - "step": 813 - }, - { - "epoch": 0.91, - "learning_rate": 2.066326530612245e-06, - "loss": 4.0555, - "step": 814 - }, - { - "epoch": 0.91, - "learning_rate": 2.0408163265306125e-06, - "loss": 4.0508, - "step": 815 - }, - { - "epoch": 0.91, - "learning_rate": 2.01530612244898e-06, - "loss": 4.0331, - "step": 816 - }, - { - "epoch": 0.92, - "learning_rate": 1.989795918367347e-06, - "loss": 4.0781, - "step": 817 - }, - { - "epoch": 0.92, - "learning_rate": 1.9642857142857144e-06, - "loss": 4.1002, - "step": 818 - }, - { - "epoch": 0.92, - "learning_rate": 1.938775510204082e-06, - "loss": 4.0934, - "step": 819 - }, - { - "epoch": 0.92, - "learning_rate": 1.913265306122449e-06, - "loss": 4.1358, - "step": 820 - }, - { - "epoch": 0.92, - "learning_rate": 1.8877551020408163e-06, - "loss": 4.0446, - "step": 821 - }, - { - "epoch": 0.92, - "learning_rate": 1.862244897959184e-06, - "loss": 4.0584, - "step": 822 - }, - { - "epoch": 0.92, - "learning_rate": 1.8367346938775512e-06, - "loss": 3.9872, - "step": 823 - }, - { - "epoch": 0.92, - "learning_rate": 1.8112244897959187e-06, - "loss": 4.0894, - "step": 824 - }, - { - "epoch": 0.92, - "learning_rate": 1.7857142857142859e-06, - "loss": 4.3481, - "step": 825 - }, - { - "epoch": 0.93, - "learning_rate": 1.7602040816326531e-06, - "loss": 4.1779, - "step": 826 - }, - { - "epoch": 0.93, - "learning_rate": 1.7346938775510206e-06, - "loss": 4.1513, - "step": 827 - }, - { - "epoch": 0.93, - "learning_rate": 1.7091836734693878e-06, - "loss": 4.0619, - "step": 828 - }, - { - "epoch": 0.93, - "learning_rate": 1.6836734693877552e-06, - "loss": 4.0468, - "step": 829 - }, - { - "epoch": 0.93, - "learning_rate": 1.6581632653061225e-06, - "loss": 4.2047, - "step": 830 - }, - { - "epoch": 0.93, - "learning_rate": 1.6326530612244897e-06, - "loss": 4.0403, - "step": 831 - }, - { - "epoch": 0.93, - "learning_rate": 1.6071428571428574e-06, - "loss": 3.9643, - "step": 832 - }, - { - "epoch": 0.93, - "learning_rate": 1.5816326530612248e-06, - "loss": 4.2552, - "step": 833 - }, - { - "epoch": 0.93, - "learning_rate": 1.556122448979592e-06, - "loss": 4.1078, - "step": 834 - }, - { - "epoch": 0.94, - "learning_rate": 1.5306122448979593e-06, - "loss": 4.1998, - "step": 835 - }, - { - "epoch": 0.94, - "learning_rate": 1.5051020408163267e-06, - "loss": 4.1312, - "step": 836 - }, - { - "epoch": 0.94, - "learning_rate": 1.479591836734694e-06, - "loss": 4.129, - "step": 837 - }, - { - "epoch": 0.94, - "learning_rate": 1.4540816326530614e-06, - "loss": 4.2123, - "step": 838 - }, - { - "epoch": 0.94, - "learning_rate": 1.4285714285714286e-06, - "loss": 4.0576, - "step": 839 - }, - { - "epoch": 0.94, - "learning_rate": 1.4030612244897959e-06, - "loss": 4.1398, - "step": 840 - }, - { - "epoch": 0.94, - "learning_rate": 1.3775510204081633e-06, - "loss": 4.341, - "step": 841 - }, - { - "epoch": 0.94, - "learning_rate": 1.3520408163265307e-06, - "loss": 4.2066, - "step": 842 - }, - { - "epoch": 0.95, - "learning_rate": 1.3265306122448982e-06, - "loss": 4.341, - "step": 843 - }, - { - "epoch": 0.95, - "learning_rate": 1.3010204081632654e-06, - "loss": 4.3768, - "step": 844 - }, - { - "epoch": 0.95, - "learning_rate": 1.2755102040816329e-06, - "loss": 4.4031, - "step": 845 - }, - { - "epoch": 0.95, - "learning_rate": 1.25e-06, - "loss": 4.4808, - "step": 846 - }, - { - "epoch": 0.95, - "learning_rate": 1.2244897959183673e-06, - "loss": 4.2938, - "step": 847 - }, - { - "epoch": 0.95, - "learning_rate": 1.1989795918367348e-06, - "loss": 4.5986, - "step": 848 - }, - { - "epoch": 0.95, - "learning_rate": 1.1734693877551022e-06, - "loss": 4.566, - "step": 849 - }, - { - "epoch": 0.95, - "learning_rate": 1.1479591836734695e-06, - "loss": 4.3436, - "step": 850 - }, - { - "epoch": 0.95, - "learning_rate": 1.122448979591837e-06, - "loss": 4.1048, - "step": 851 - }, - { - "epoch": 0.96, - "learning_rate": 1.0969387755102041e-06, - "loss": 4.0466, - "step": 852 - }, - { - "epoch": 0.96, - "learning_rate": 1.0714285714285714e-06, - "loss": 4.1017, - "step": 853 - }, - { - "epoch": 0.96, - "learning_rate": 1.0459183673469388e-06, - "loss": 4.0296, - "step": 854 - }, - { - "epoch": 0.96, - "learning_rate": 1.0204081632653063e-06, - "loss": 4.0512, - "step": 855 - }, - { - "epoch": 0.96, - "learning_rate": 9.948979591836735e-07, - "loss": 4.0673, - "step": 856 - }, - { - "epoch": 0.96, - "learning_rate": 9.69387755102041e-07, - "loss": 4.1707, - "step": 857 - }, - { - "epoch": 0.96, - "learning_rate": 9.438775510204082e-07, - "loss": 4.1872, - "step": 858 - }, - { - "epoch": 0.96, - "learning_rate": 9.183673469387756e-07, - "loss": 4.0315, - "step": 859 - }, - { - "epoch": 0.96, - "learning_rate": 8.928571428571429e-07, - "loss": 4.1158, - "step": 860 - }, - { - "epoch": 0.97, - "learning_rate": 8.673469387755103e-07, - "loss": 4.3055, - "step": 861 - }, - { - "epoch": 0.97, - "learning_rate": 8.418367346938776e-07, - "loss": 4.026, - "step": 862 - }, - { - "epoch": 0.97, - "learning_rate": 8.163265306122449e-07, - "loss": 4.1558, - "step": 863 - }, - { - "epoch": 0.97, - "learning_rate": 7.908163265306124e-07, - "loss": 4.2992, - "step": 864 - }, - { - "epoch": 0.97, - "learning_rate": 7.653061224489796e-07, - "loss": 4.1812, - "step": 865 - }, - { - "epoch": 0.97, - "learning_rate": 7.39795918367347e-07, - "loss": 3.914, - "step": 866 - }, - { - "epoch": 0.97, - "learning_rate": 7.142857142857143e-07, - "loss": 4.1402, - "step": 867 - }, - { - "epoch": 0.97, - "learning_rate": 6.887755102040817e-07, - "loss": 4.0025, - "step": 868 - }, - { - "epoch": 0.97, - "learning_rate": 6.632653061224491e-07, - "loss": 4.0408, - "step": 869 - }, - { - "epoch": 0.98, - "learning_rate": 6.377551020408164e-07, - "loss": 4.2121, - "step": 870 - }, - { - "epoch": 0.98, - "learning_rate": 6.122448979591837e-07, - "loss": 4.0377, - "step": 871 - }, - { - "epoch": 0.98, - "learning_rate": 5.867346938775511e-07, - "loss": 4.2279, - "step": 872 - }, - { - "epoch": 0.98, - "learning_rate": 5.612244897959184e-07, - "loss": 4.1868, - "step": 873 - }, - { - "epoch": 0.98, - "learning_rate": 5.357142857142857e-07, - "loss": 4.2097, - "step": 874 - }, - { - "epoch": 0.98, - "learning_rate": 5.102040816326531e-07, - "loss": 4.2013, - "step": 875 - }, - { - "epoch": 0.98, - "learning_rate": 4.846938775510205e-07, - "loss": 4.0373, - "step": 876 - }, - { - "epoch": 0.98, - "learning_rate": 4.591836734693878e-07, - "loss": 4.1152, - "step": 877 - }, - { - "epoch": 0.98, - "learning_rate": 4.3367346938775514e-07, - "loss": 4.1555, - "step": 878 - }, - { - "epoch": 0.99, - "learning_rate": 4.0816326530612243e-07, - "loss": 4.3356, - "step": 879 - }, - { - "epoch": 0.99, - "learning_rate": 3.826530612244898e-07, - "loss": 4.4388, - "step": 880 - }, - { - "epoch": 0.99, - "learning_rate": 3.5714285714285716e-07, - "loss": 4.0538, - "step": 881 - }, - { - "epoch": 0.99, - "learning_rate": 3.3163265306122455e-07, - "loss": 4.1586, - "step": 882 - }, - { - "epoch": 0.99, - "learning_rate": 3.0612244897959183e-07, - "loss": 4.0861, - "step": 883 - }, - { - "epoch": 0.99, - "learning_rate": 2.806122448979592e-07, - "loss": 4.0793, - "step": 884 - }, - { - "epoch": 0.99, - "learning_rate": 2.5510204081632656e-07, - "loss": 4.1621, - "step": 885 - }, - { - "epoch": 0.99, - "learning_rate": 2.295918367346939e-07, - "loss": 4.1331, - "step": 886 - }, - { - "epoch": 0.99, - "learning_rate": 2.0408163265306121e-07, - "loss": 4.0988, - "step": 887 - }, - { - "epoch": 1.0, - "learning_rate": 1.7857142857142858e-07, - "loss": 4.3043, - "step": 888 - }, - { - "epoch": 1.0, - "learning_rate": 1.5306122448979592e-07, - "loss": 4.3478, - "step": 889 - }, - { - "epoch": 1.0, - "learning_rate": 1.2755102040816328e-07, - "loss": 4.1803, - "step": 890 - }, - { - "epoch": 1.0, - "learning_rate": 1.0204081632653061e-07, - "loss": 4.4327, - "step": 891 - }, - { - "epoch": 1.0, - "learning_rate": 7.653061224489796e-08, - "loss": 4.0019, - "step": 892 - }, { "epoch": 1.0, - "step": 892, + "step": 446, "total_flos": 0.0, - "train_loss": 4.296594612534271, - "train_runtime": 6075.7342, - "train_samples_per_second": 4.697, - "train_steps_per_second": 0.147 + "train_loss": 4.377411050112258, + "train_runtime": 4925.13, + "train_samples_per_second": 5.794, + "train_steps_per_second": 0.091 } ], - "max_steps": 892, + "max_steps": 446, "num_train_epochs": 1, "total_flos": 0.0, "trial_name": null,