{ "best_metric": 0.5110138058662415, "best_model_checkpoint": "./output_v2/7b_cluster00_Nous-Hermes-llama-2-7b_codellama_blob_1/checkpoint-600", "epoch": 1.6842105263157894, "global_step": 600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 2e-06, "loss": 0.7795, "step": 1 }, { "epoch": 0.01, "learning_rate": 4e-06, "loss": 0.6789, "step": 2 }, { "epoch": 0.01, "learning_rate": 5.999999999999999e-06, "loss": 0.6843, "step": 3 }, { "epoch": 0.01, "learning_rate": 8e-06, "loss": 0.6883, "step": 4 }, { "epoch": 0.01, "learning_rate": 9.999999999999999e-06, "loss": 0.5969, "step": 5 }, { "epoch": 0.02, "learning_rate": 1.1999999999999999e-05, "loss": 0.6588, "step": 6 }, { "epoch": 0.02, "learning_rate": 1.4e-05, "loss": 0.6267, "step": 7 }, { "epoch": 0.02, "learning_rate": 1.6e-05, "loss": 0.6893, "step": 8 }, { "epoch": 0.03, "learning_rate": 1.7999999999999997e-05, "loss": 0.5368, "step": 9 }, { "epoch": 0.03, "learning_rate": 1.9999999999999998e-05, "loss": 0.6016, "step": 10 }, { "epoch": 0.03, "learning_rate": 2.2e-05, "loss": 0.7062, "step": 11 }, { "epoch": 0.03, "learning_rate": 2.3999999999999997e-05, "loss": 0.6317, "step": 12 }, { "epoch": 0.04, "learning_rate": 2.6e-05, "loss": 0.5637, "step": 13 }, { "epoch": 0.04, "learning_rate": 2.8e-05, "loss": 0.5495, "step": 14 }, { "epoch": 0.04, "learning_rate": 2.9999999999999997e-05, "loss": 0.5845, "step": 15 }, { "epoch": 0.04, "learning_rate": 3.2e-05, "loss": 0.706, "step": 16 }, { "epoch": 0.05, "learning_rate": 3.399999999999999e-05, "loss": 0.9474, "step": 17 }, { "epoch": 0.05, "learning_rate": 3.5999999999999994e-05, "loss": 0.7117, "step": 18 }, { "epoch": 0.05, "learning_rate": 3.8e-05, "loss": 0.5116, "step": 19 }, { "epoch": 0.06, "learning_rate": 3.9999999999999996e-05, "loss": 0.6477, "step": 20 }, { "epoch": 0.06, "learning_rate": 4.2e-05, "loss": 1.0475, "step": 21 }, { "epoch": 0.06, "learning_rate": 4.4e-05, "loss": 0.926, "step": 22 }, { "epoch": 0.06, "learning_rate": 4.599999999999999e-05, "loss": 0.7514, "step": 23 }, { "epoch": 0.07, "learning_rate": 4.7999999999999994e-05, "loss": 0.7025, "step": 24 }, { "epoch": 0.07, "learning_rate": 4.9999999999999996e-05, "loss": 0.6988, "step": 25 }, { "epoch": 0.07, "eval_loss": 0.6739590167999268, "eval_runtime": 26.3533, "eval_samples_per_second": 7.589, "eval_steps_per_second": 1.897, "step": 25 }, { "dharma_eval_accuracy": 0.46490680424489195, "dharma_eval_accuracy_ARC-Challenge": 0.6111111111111112, "dharma_eval_accuracy_ARC-Easy": 0.7592592592592593, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.42592592592592593, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.4098360655737705, "dharma_eval_accuracy_openbookqa": 0.2962962962962963, "dharma_eval_accuracy_truthful_qa": 0.37037037037037035, "dharma_eval_accuracy_winogrande": 0.37037037037037035, "dharma_loss": 3.781016577720642, "epoch": 0.07, "step": 25 }, { "epoch": 0.07, "learning_rate": 5.2e-05, "loss": 0.6124, "step": 26 }, { "epoch": 0.08, "learning_rate": 5.399999999999999e-05, "loss": 0.6074, "step": 27 }, { "epoch": 0.08, "learning_rate": 5.6e-05, "loss": 0.4834, "step": 28 }, { "epoch": 0.08, "learning_rate": 5.7999999999999994e-05, "loss": 0.6022, "step": 29 }, { "epoch": 0.08, "learning_rate": 5.9999999999999995e-05, "loss": 0.8702, "step": 30 }, { "epoch": 0.09, "learning_rate": 6.199999999999999e-05, "loss": 0.991, "step": 31 }, { "epoch": 0.09, "learning_rate": 6.4e-05, "loss": 0.736, "step": 32 }, { "epoch": 0.09, "learning_rate": 6.599999999999999e-05, "loss": 0.5063, "step": 33 }, { "epoch": 0.1, "learning_rate": 6.799999999999999e-05, "loss": 0.6644, "step": 34 }, { "epoch": 0.1, "learning_rate": 7e-05, "loss": 0.6932, "step": 35 }, { "epoch": 0.1, "learning_rate": 7.199999999999999e-05, "loss": 0.7433, "step": 36 }, { "epoch": 0.1, "learning_rate": 7.4e-05, "loss": 0.8272, "step": 37 }, { "epoch": 0.11, "learning_rate": 7.6e-05, "loss": 0.5963, "step": 38 }, { "epoch": 0.11, "learning_rate": 7.8e-05, "loss": 0.558, "step": 39 }, { "epoch": 0.11, "learning_rate": 7.999999999999999e-05, "loss": 0.7975, "step": 40 }, { "epoch": 0.12, "learning_rate": 8.199999999999999e-05, "loss": 0.8271, "step": 41 }, { "epoch": 0.12, "learning_rate": 8.4e-05, "loss": 0.7612, "step": 42 }, { "epoch": 0.12, "learning_rate": 8.6e-05, "loss": 0.6064, "step": 43 }, { "epoch": 0.12, "learning_rate": 8.8e-05, "loss": 0.5793, "step": 44 }, { "epoch": 0.13, "learning_rate": 8.999999999999999e-05, "loss": 0.6009, "step": 45 }, { "epoch": 0.13, "learning_rate": 9.199999999999999e-05, "loss": 0.5151, "step": 46 }, { "epoch": 0.13, "learning_rate": 9.4e-05, "loss": 0.5317, "step": 47 }, { "epoch": 0.13, "learning_rate": 9.599999999999999e-05, "loss": 0.6964, "step": 48 }, { "epoch": 0.14, "learning_rate": 9.799999999999998e-05, "loss": 0.6153, "step": 49 }, { "epoch": 0.14, "learning_rate": 9.999999999999999e-05, "loss": 0.6366, "step": 50 }, { "epoch": 0.14, "eval_loss": 0.6041869521141052, "eval_runtime": 26.2576, "eval_samples_per_second": 7.617, "eval_steps_per_second": 1.904, "step": 50 }, { "dharma_eval_accuracy": 0.4823682161368556, "dharma_eval_accuracy_ARC-Challenge": 0.6666666666666666, "dharma_eval_accuracy_ARC-Easy": 0.6851851851851852, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.42592592592592593, "dharma_eval_accuracy_agieval": 0.2711864406779661, "dharma_eval_accuracy_bigbench": 0.45901639344262296, "dharma_eval_accuracy_openbookqa": 0.3148148148148148, "dharma_eval_accuracy_truthful_qa": 0.35185185185185186, "dharma_eval_accuracy_winogrande": 0.46296296296296297, "dharma_loss": 2.14614901971817, "epoch": 0.14, "step": 50 }, { "epoch": 0.14, "learning_rate": 0.000102, "loss": 0.6561, "step": 51 }, { "epoch": 0.15, "learning_rate": 0.000104, "loss": 0.9783, "step": 52 }, { "epoch": 0.15, "learning_rate": 0.00010599999999999999, "loss": 0.6149, "step": 53 }, { "epoch": 0.15, "learning_rate": 0.00010799999999999998, "loss": 0.6407, "step": 54 }, { "epoch": 0.15, "learning_rate": 0.00010999999999999998, "loss": 0.5906, "step": 55 }, { "epoch": 0.16, "learning_rate": 0.000112, "loss": 0.6447, "step": 56 }, { "epoch": 0.16, "learning_rate": 0.00011399999999999999, "loss": 0.6892, "step": 57 }, { "epoch": 0.16, "learning_rate": 0.00011599999999999999, "loss": 0.6289, "step": 58 }, { "epoch": 0.17, "learning_rate": 0.00011799999999999998, "loss": 0.5937, "step": 59 }, { "epoch": 0.17, "learning_rate": 0.00011999999999999999, "loss": 0.6936, "step": 60 }, { "epoch": 0.17, "learning_rate": 0.000122, "loss": 0.5546, "step": 61 }, { "epoch": 0.17, "learning_rate": 0.00012399999999999998, "loss": 0.5464, "step": 62 }, { "epoch": 0.18, "learning_rate": 0.00012599999999999997, "loss": 0.6424, "step": 63 }, { "epoch": 0.18, "learning_rate": 0.000128, "loss": 0.6849, "step": 64 }, { "epoch": 0.18, "learning_rate": 0.00013, "loss": 0.5383, "step": 65 }, { "epoch": 0.19, "learning_rate": 0.00013199999999999998, "loss": 0.6284, "step": 66 }, { "epoch": 0.19, "learning_rate": 0.00013399999999999998, "loss": 0.6387, "step": 67 }, { "epoch": 0.19, "learning_rate": 0.00013599999999999997, "loss": 0.5718, "step": 68 }, { "epoch": 0.19, "learning_rate": 0.000138, "loss": 0.479, "step": 69 }, { "epoch": 0.2, "learning_rate": 0.00014, "loss": 0.5653, "step": 70 }, { "epoch": 0.2, "learning_rate": 0.00014199999999999998, "loss": 0.6335, "step": 71 }, { "epoch": 0.2, "learning_rate": 0.00014399999999999998, "loss": 0.6159, "step": 72 }, { "epoch": 0.2, "learning_rate": 0.000146, "loss": 0.5467, "step": 73 }, { "epoch": 0.21, "learning_rate": 0.000148, "loss": 0.6248, "step": 74 }, { "epoch": 0.21, "learning_rate": 0.00015, "loss": 0.5263, "step": 75 }, { "epoch": 0.21, "eval_loss": 0.5646250247955322, "eval_runtime": 26.2937, "eval_samples_per_second": 7.606, "eval_steps_per_second": 1.902, "step": 75 }, { "dharma_eval_accuracy": 0.43486359379663075, "dharma_eval_accuracy_ARC-Challenge": 0.5925925925925926, "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.4074074074074074, "dharma_eval_accuracy_agieval": 0.2033898305084746, "dharma_eval_accuracy_bigbench": 0.3770491803278688, "dharma_eval_accuracy_openbookqa": 0.12962962962962962, "dharma_eval_accuracy_truthful_qa": 0.4074074074074074, "dharma_eval_accuracy_winogrande": 0.48148148148148145, "dharma_loss": 2.0373267664909362, "epoch": 0.21, "step": 75 }, { "epoch": 0.21, "learning_rate": 0.000152, "loss": 0.5322, "step": 76 }, { "epoch": 0.22, "learning_rate": 0.00015399999999999998, "loss": 0.6562, "step": 77 }, { "epoch": 0.22, "learning_rate": 0.000156, "loss": 0.6459, "step": 78 }, { "epoch": 0.22, "learning_rate": 0.00015799999999999996, "loss": 0.5265, "step": 79 }, { "epoch": 0.22, "learning_rate": 0.00015999999999999999, "loss": 0.5635, "step": 80 }, { "epoch": 0.23, "learning_rate": 0.000162, "loss": 0.6606, "step": 81 }, { "epoch": 0.23, "learning_rate": 0.00016399999999999997, "loss": 0.6397, "step": 82 }, { "epoch": 0.23, "learning_rate": 0.000166, "loss": 0.5062, "step": 83 }, { "epoch": 0.24, "learning_rate": 0.000168, "loss": 0.5622, "step": 84 }, { "epoch": 0.24, "learning_rate": 0.00016999999999999999, "loss": 0.5564, "step": 85 }, { "epoch": 0.24, "learning_rate": 0.000172, "loss": 0.4649, "step": 86 }, { "epoch": 0.24, "learning_rate": 0.00017399999999999997, "loss": 0.5314, "step": 87 }, { "epoch": 0.25, "learning_rate": 0.000176, "loss": 0.7116, "step": 88 }, { "epoch": 0.25, "learning_rate": 0.000178, "loss": 0.5589, "step": 89 }, { "epoch": 0.25, "learning_rate": 0.00017999999999999998, "loss": 0.7248, "step": 90 }, { "epoch": 0.26, "learning_rate": 0.00018199999999999998, "loss": 0.6522, "step": 91 }, { "epoch": 0.26, "learning_rate": 0.00018399999999999997, "loss": 0.8075, "step": 92 }, { "epoch": 0.26, "learning_rate": 0.000186, "loss": 0.6412, "step": 93 }, { "epoch": 0.26, "learning_rate": 0.000188, "loss": 0.6319, "step": 94 }, { "epoch": 0.27, "learning_rate": 0.00018999999999999998, "loss": 0.6112, "step": 95 }, { "epoch": 0.27, "learning_rate": 0.00019199999999999998, "loss": 0.5936, "step": 96 }, { "epoch": 0.27, "learning_rate": 0.00019399999999999997, "loss": 0.6387, "step": 97 }, { "epoch": 0.28, "learning_rate": 0.00019599999999999997, "loss": 0.567, "step": 98 }, { "epoch": 0.28, "learning_rate": 0.000198, "loss": 0.5639, "step": 99 }, { "epoch": 0.28, "learning_rate": 0.00019999999999999998, "loss": 0.715, "step": 100 }, { "epoch": 0.28, "eval_loss": 0.5477311611175537, "eval_runtime": 26.3038, "eval_samples_per_second": 7.603, "eval_steps_per_second": 1.901, "step": 100 }, { "dharma_eval_accuracy": 0.39048398217611885, "dharma_eval_accuracy_ARC-Challenge": 0.5740740740740741, "dharma_eval_accuracy_ARC-Easy": 0.48148148148148145, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.4074074074074074, "dharma_eval_accuracy_agieval": 0.2711864406779661, "dharma_eval_accuracy_bigbench": 0.4098360655737705, "dharma_eval_accuracy_openbookqa": 0.07407407407407407, "dharma_eval_accuracy_truthful_qa": 0.35185185185185186, "dharma_eval_accuracy_winogrande": 0.24074074074074073, "dharma_loss": 2.541038901805878, "epoch": 0.28, "step": 100 }, { "epoch": 0.28, "learning_rate": 0.00020199999999999998, "loss": 0.5853, "step": 101 }, { "epoch": 0.29, "learning_rate": 0.000204, "loss": 0.5712, "step": 102 }, { "epoch": 0.29, "learning_rate": 0.00020599999999999997, "loss": 0.7782, "step": 103 }, { "epoch": 0.29, "learning_rate": 0.000208, "loss": 0.4925, "step": 104 }, { "epoch": 0.29, "learning_rate": 0.00020999999999999998, "loss": 0.7024, "step": 105 }, { "epoch": 0.3, "learning_rate": 0.00021199999999999998, "loss": 0.7275, "step": 106 }, { "epoch": 0.3, "learning_rate": 0.000214, "loss": 0.5375, "step": 107 }, { "epoch": 0.3, "learning_rate": 0.00021599999999999996, "loss": 0.5393, "step": 108 }, { "epoch": 0.31, "learning_rate": 0.00021799999999999999, "loss": 0.7458, "step": 109 }, { "epoch": 0.31, "learning_rate": 0.00021999999999999995, "loss": 0.4592, "step": 110 }, { "epoch": 0.31, "learning_rate": 0.00022199999999999998, "loss": 0.5413, "step": 111 }, { "epoch": 0.31, "learning_rate": 0.000224, "loss": 0.6476, "step": 112 }, { "epoch": 0.32, "learning_rate": 0.00022599999999999996, "loss": 0.5974, "step": 113 }, { "epoch": 0.32, "learning_rate": 0.00022799999999999999, "loss": 0.5752, "step": 114 }, { "epoch": 0.32, "learning_rate": 0.00023, "loss": 0.6011, "step": 115 }, { "epoch": 0.33, "learning_rate": 0.00023199999999999997, "loss": 0.5327, "step": 116 }, { "epoch": 0.33, "learning_rate": 0.000234, "loss": 0.8215, "step": 117 }, { "epoch": 0.33, "learning_rate": 0.00023599999999999996, "loss": 0.6684, "step": 118 }, { "epoch": 0.33, "learning_rate": 0.00023799999999999998, "loss": 0.6667, "step": 119 }, { "epoch": 0.34, "learning_rate": 0.00023999999999999998, "loss": 0.7711, "step": 120 }, { "epoch": 0.34, "learning_rate": 0.00024199999999999997, "loss": 0.5782, "step": 121 }, { "epoch": 0.34, "learning_rate": 0.000244, "loss": 0.3653, "step": 122 }, { "epoch": 0.35, "learning_rate": 0.00024599999999999996, "loss": 0.5351, "step": 123 }, { "epoch": 0.35, "learning_rate": 0.00024799999999999996, "loss": 0.5766, "step": 124 }, { "epoch": 0.35, "learning_rate": 0.00025, "loss": 0.7174, "step": 125 }, { "epoch": 0.35, "eval_loss": 0.5514150261878967, "eval_runtime": 26.3198, "eval_samples_per_second": 7.599, "eval_steps_per_second": 1.9, "step": 125 }, { "dharma_eval_accuracy": 0.32516919994923144, "dharma_eval_accuracy_ARC-Challenge": 0.3888888888888889, "dharma_eval_accuracy_ARC-Easy": 0.48148148148148145, "dharma_eval_accuracy_BoolQ": 0.3333333333333333, "dharma_eval_accuracy_MMLU": 0.3148148148148148, "dharma_eval_accuracy_agieval": 0.2033898305084746, "dharma_eval_accuracy_bigbench": 0.2786885245901639, "dharma_eval_accuracy_openbookqa": 0.16666666666666666, "dharma_eval_accuracy_truthful_qa": 0.35185185185185186, "dharma_eval_accuracy_winogrande": 0.4074074074074074, "dharma_loss": 2.2513291540145874, "epoch": 0.35, "step": 125 }, { "epoch": 0.35, "learning_rate": 0.00025199999999999995, "loss": 0.5899, "step": 126 }, { "epoch": 0.36, "learning_rate": 0.000254, "loss": 0.8261, "step": 127 }, { "epoch": 0.36, "learning_rate": 0.000256, "loss": 0.6096, "step": 128 }, { "epoch": 0.36, "learning_rate": 0.000258, "loss": 0.6574, "step": 129 }, { "epoch": 0.36, "learning_rate": 0.00026, "loss": 0.7565, "step": 130 }, { "epoch": 0.37, "learning_rate": 0.00026199999999999997, "loss": 0.7156, "step": 131 }, { "epoch": 0.37, "learning_rate": 0.00026399999999999997, "loss": 0.4399, "step": 132 }, { "epoch": 0.37, "learning_rate": 0.000266, "loss": 0.5608, "step": 133 }, { "epoch": 0.38, "learning_rate": 0.00026799999999999995, "loss": 0.553, "step": 134 }, { "epoch": 0.38, "learning_rate": 0.00027, "loss": 0.5061, "step": 135 }, { "epoch": 0.38, "learning_rate": 0.00027199999999999994, "loss": 0.4781, "step": 136 }, { "epoch": 0.38, "learning_rate": 0.000274, "loss": 0.6203, "step": 137 }, { "epoch": 0.39, "learning_rate": 0.000276, "loss": 0.7665, "step": 138 }, { "epoch": 0.39, "learning_rate": 0.000278, "loss": 0.6048, "step": 139 }, { "epoch": 0.39, "learning_rate": 0.00028, "loss": 0.789, "step": 140 }, { "epoch": 0.4, "learning_rate": 0.00028199999999999997, "loss": 0.5875, "step": 141 }, { "epoch": 0.4, "learning_rate": 0.00028399999999999996, "loss": 0.603, "step": 142 }, { "epoch": 0.4, "learning_rate": 0.00028599999999999996, "loss": 0.5381, "step": 143 }, { "epoch": 0.4, "learning_rate": 0.00028799999999999995, "loss": 0.7706, "step": 144 }, { "epoch": 0.41, "learning_rate": 0.00029, "loss": 0.6116, "step": 145 }, { "epoch": 0.41, "learning_rate": 0.000292, "loss": 0.5398, "step": 146 }, { "epoch": 0.41, "learning_rate": 0.000294, "loss": 0.5728, "step": 147 }, { "epoch": 0.42, "learning_rate": 0.000296, "loss": 1.1167, "step": 148 }, { "epoch": 0.42, "learning_rate": 0.000298, "loss": 0.5872, "step": 149 }, { "epoch": 0.42, "learning_rate": 0.0003, "loss": 0.559, "step": 150 }, { "epoch": 0.42, "eval_loss": 0.5424469113349915, "eval_runtime": 26.2188, "eval_samples_per_second": 7.628, "eval_steps_per_second": 1.907, "step": 150 }, { "dharma_eval_accuracy": 0.38760023646257474, "dharma_eval_accuracy_ARC-Challenge": 0.46296296296296297, "dharma_eval_accuracy_ARC-Easy": 0.42592592592592593, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2777777777777778, "dharma_eval_accuracy_agieval": 0.22033898305084745, "dharma_eval_accuracy_bigbench": 0.36065573770491804, "dharma_eval_accuracy_openbookqa": 0.25925925925925924, "dharma_eval_accuracy_truthful_qa": 0.37037037037037035, "dharma_eval_accuracy_winogrande": 0.4074074074074074, "dharma_loss": 2.487543685913086, "epoch": 0.42, "step": 150 }, { "epoch": 0.42, "learning_rate": 0.0002999999685313931, "loss": 0.6534, "step": 151 }, { "epoch": 0.43, "learning_rate": 0.00029999987412558584, "loss": 0.5063, "step": 152 }, { "epoch": 0.43, "learning_rate": 0.0002999997167826177, "loss": 0.4621, "step": 153 }, { "epoch": 0.43, "learning_rate": 0.00029999949650255474, "loss": 0.7303, "step": 154 }, { "epoch": 0.44, "learning_rate": 0.0002999992132854894, "loss": 0.5919, "step": 155 }, { "epoch": 0.44, "learning_rate": 0.0002999988671315404, "loss": 0.4129, "step": 156 }, { "epoch": 0.44, "learning_rate": 0.0002999984580408531, "loss": 0.5495, "step": 157 }, { "epoch": 0.44, "learning_rate": 0.00029999798601359915, "loss": 0.5766, "step": 158 }, { "epoch": 0.45, "learning_rate": 0.00029999745104997654, "loss": 0.5602, "step": 159 }, { "epoch": 0.45, "learning_rate": 0.0002999968531502098, "loss": 0.6254, "step": 160 }, { "epoch": 0.45, "learning_rate": 0.0002999961923145497, "loss": 0.4962, "step": 161 }, { "epoch": 0.45, "learning_rate": 0.0002999954685432736, "loss": 0.7463, "step": 162 }, { "epoch": 0.46, "learning_rate": 0.0002999946818366852, "loss": 0.5892, "step": 163 }, { "epoch": 0.46, "learning_rate": 0.00029999383219511444, "loss": 0.3993, "step": 164 }, { "epoch": 0.46, "learning_rate": 0.0002999929196189179, "loss": 0.6364, "step": 165 }, { "epoch": 0.47, "learning_rate": 0.0002999919441084786, "loss": 0.6043, "step": 166 }, { "epoch": 0.47, "learning_rate": 0.0002999909056642057, "loss": 0.4706, "step": 167 }, { "epoch": 0.47, "learning_rate": 0.00029998980428653496, "loss": 0.5362, "step": 168 }, { "epoch": 0.47, "learning_rate": 0.00029998863997592843, "loss": 0.6128, "step": 169 }, { "epoch": 0.48, "learning_rate": 0.00029998741273287477, "loss": 0.5543, "step": 170 }, { "epoch": 0.48, "learning_rate": 0.0002999861225578888, "loss": 0.5491, "step": 171 }, { "epoch": 0.48, "learning_rate": 0.00029998476945151183, "loss": 0.4944, "step": 172 }, { "epoch": 0.49, "learning_rate": 0.00029998335341431174, "loss": 0.4592, "step": 173 }, { "epoch": 0.49, "learning_rate": 0.0002999818744468825, "loss": 0.4393, "step": 174 }, { "epoch": 0.49, "learning_rate": 0.0002999803325498448, "loss": 0.5342, "step": 175 }, { "epoch": 0.49, "eval_loss": 0.5361905694007874, "eval_runtime": 26.2417, "eval_samples_per_second": 7.621, "eval_steps_per_second": 1.905, "step": 175 }, { "dharma_eval_accuracy": 0.37737391616555577, "dharma_eval_accuracy_ARC-Challenge": 0.46296296296296297, "dharma_eval_accuracy_ARC-Easy": 0.5, "dharma_eval_accuracy_BoolQ": 0.5740740740740741, "dharma_eval_accuracy_MMLU": 0.37037037037037035, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.3442622950819672, "dharma_eval_accuracy_openbookqa": 0.14814814814814814, "dharma_eval_accuracy_truthful_qa": 0.3148148148148148, "dharma_eval_accuracy_winogrande": 0.4444444444444444, "dharma_loss": 2.1437022438049316, "epoch": 0.49, "step": 175 }, { "epoch": 0.49, "learning_rate": 0.0002999787277238455, "loss": 0.7472, "step": 176 }, { "epoch": 0.5, "learning_rate": 0.000299977059969558, "loss": 0.6834, "step": 177 }, { "epoch": 0.5, "learning_rate": 0.00029997532928768204, "loss": 0.5137, "step": 178 }, { "epoch": 0.5, "learning_rate": 0.00029997353567894384, "loss": 0.5725, "step": 179 }, { "epoch": 0.51, "learning_rate": 0.0002999716791440959, "loss": 0.6968, "step": 180 }, { "epoch": 0.51, "learning_rate": 0.00029996975968391715, "loss": 0.4837, "step": 181 }, { "epoch": 0.51, "learning_rate": 0.000299967777299213, "loss": 0.731, "step": 182 }, { "epoch": 0.51, "learning_rate": 0.0002999657319908153, "loss": 0.6332, "step": 183 }, { "epoch": 0.52, "learning_rate": 0.0002999636237595821, "loss": 0.642, "step": 184 }, { "epoch": 0.52, "learning_rate": 0.00029996145260639806, "loss": 0.5518, "step": 185 }, { "epoch": 0.52, "learning_rate": 0.0002999592185321741, "loss": 0.6771, "step": 186 }, { "epoch": 0.52, "learning_rate": 0.0002999569215378477, "loss": 0.6216, "step": 187 }, { "epoch": 0.53, "learning_rate": 0.0002999545616243825, "loss": 0.5675, "step": 188 }, { "epoch": 0.53, "learning_rate": 0.00029995213879276876, "loss": 0.5789, "step": 189 }, { "epoch": 0.53, "learning_rate": 0.000299949653044023, "loss": 0.4393, "step": 190 }, { "epoch": 0.54, "learning_rate": 0.00029994710437918824, "loss": 0.7194, "step": 191 }, { "epoch": 0.54, "learning_rate": 0.0002999444927993338, "loss": 0.7315, "step": 192 }, { "epoch": 0.54, "learning_rate": 0.00029994181830555555, "loss": 0.6467, "step": 193 }, { "epoch": 0.54, "learning_rate": 0.00029993908089897555, "loss": 0.5778, "step": 194 }, { "epoch": 0.55, "learning_rate": 0.00029993628058074245, "loss": 0.4764, "step": 195 }, { "epoch": 0.55, "learning_rate": 0.00029993341735203114, "loss": 0.5286, "step": 196 }, { "epoch": 0.55, "learning_rate": 0.00029993049121404303, "loss": 0.5216, "step": 197 }, { "epoch": 0.56, "learning_rate": 0.0002999275021680058, "loss": 0.6284, "step": 198 }, { "epoch": 0.56, "learning_rate": 0.0002999244502151737, "loss": 0.6015, "step": 199 }, { "epoch": 0.56, "learning_rate": 0.00029992133535682725, "loss": 0.5592, "step": 200 }, { "epoch": 0.56, "eval_loss": 0.5275110006332397, "eval_runtime": 26.2597, "eval_samples_per_second": 7.616, "eval_steps_per_second": 1.904, "step": 200 }, { "dharma_eval_accuracy": 0.4200606707167172, "dharma_eval_accuracy_ARC-Challenge": 0.5185185185185185, "dharma_eval_accuracy_ARC-Easy": 0.5185185185185185, "dharma_eval_accuracy_BoolQ": 0.6851851851851852, "dharma_eval_accuracy_MMLU": 0.35185185185185186, "dharma_eval_accuracy_agieval": 0.288135593220339, "dharma_eval_accuracy_bigbench": 0.3442622950819672, "dharma_eval_accuracy_openbookqa": 0.12962962962962962, "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, "dharma_eval_accuracy_winogrande": 0.5555555555555556, "dharma_loss": 2.505841832637787, "epoch": 0.56, "step": 200 }, { "epoch": 0.56, "learning_rate": 0.0002999181575942733, "loss": 0.4536, "step": 201 }, { "epoch": 0.57, "learning_rate": 0.0002999149169288452, "loss": 0.5653, "step": 202 }, { "epoch": 0.57, "learning_rate": 0.0002999116133619028, "loss": 0.4653, "step": 203 }, { "epoch": 0.57, "learning_rate": 0.0002999082468948321, "loss": 0.4889, "step": 204 }, { "epoch": 0.58, "learning_rate": 0.00029990481752904563, "loss": 0.472, "step": 205 }, { "epoch": 0.58, "learning_rate": 0.0002999013252659823, "loss": 0.5357, "step": 206 }, { "epoch": 0.58, "learning_rate": 0.0002998977701071074, "loss": 0.6088, "step": 207 }, { "epoch": 0.58, "learning_rate": 0.00029989415205391263, "loss": 0.5453, "step": 208 }, { "epoch": 0.59, "learning_rate": 0.00029989047110791595, "loss": 0.6145, "step": 209 }, { "epoch": 0.59, "learning_rate": 0.0002998867272706619, "loss": 0.7111, "step": 210 }, { "epoch": 0.59, "learning_rate": 0.0002998829205437214, "loss": 0.5549, "step": 211 }, { "epoch": 0.6, "learning_rate": 0.0002998790509286915, "loss": 0.557, "step": 212 }, { "epoch": 0.6, "learning_rate": 0.000299875118427196, "loss": 0.6453, "step": 213 }, { "epoch": 0.6, "learning_rate": 0.00029987112304088483, "loss": 0.6133, "step": 214 }, { "epoch": 0.6, "learning_rate": 0.0002998670647714343, "loss": 0.699, "step": 215 }, { "epoch": 0.61, "learning_rate": 0.0002998629436205473, "loss": 0.5953, "step": 216 }, { "epoch": 0.61, "learning_rate": 0.00029985875958995296, "loss": 0.6149, "step": 217 }, { "epoch": 0.61, "learning_rate": 0.00029985451268140683, "loss": 0.5211, "step": 218 }, { "epoch": 0.61, "learning_rate": 0.00029985020289669077, "loss": 0.7371, "step": 219 }, { "epoch": 0.62, "learning_rate": 0.00029984583023761317, "loss": 0.6213, "step": 220 }, { "epoch": 0.62, "learning_rate": 0.0002998413947060086, "loss": 0.7568, "step": 221 }, { "epoch": 0.62, "learning_rate": 0.00029983689630373825, "loss": 0.5585, "step": 222 }, { "epoch": 0.63, "learning_rate": 0.0002998323350326895, "loss": 0.577, "step": 223 }, { "epoch": 0.63, "learning_rate": 0.0002998277108947762, "loss": 0.6245, "step": 224 }, { "epoch": 0.63, "learning_rate": 0.00029982302389193856, "loss": 0.6179, "step": 225 }, { "epoch": 0.63, "eval_loss": 0.5254238247871399, "eval_runtime": 26.3192, "eval_samples_per_second": 7.599, "eval_steps_per_second": 1.9, "step": 225 }, { "dharma_eval_accuracy": 0.3981244218501481, "dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556, "dharma_eval_accuracy_ARC-Easy": 0.5925925925925926, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.37037037037037035, "dharma_eval_accuracy_agieval": 0.22033898305084745, "dharma_eval_accuracy_bigbench": 0.3442622950819672, "dharma_eval_accuracy_openbookqa": 0.1111111111111111, "dharma_eval_accuracy_truthful_qa": 0.24074074074074073, "dharma_eval_accuracy_winogrande": 0.4444444444444444, "dharma_loss": 2.3062019448280333, "epoch": 0.63, "step": 225 }, { "epoch": 0.63, "learning_rate": 0.0002998182740261432, "loss": 0.6392, "step": 226 }, { "epoch": 0.64, "learning_rate": 0.0002998134612993829, "loss": 0.597, "step": 227 }, { "epoch": 0.64, "learning_rate": 0.0002998085857136772, "loss": 0.4129, "step": 228 }, { "epoch": 0.64, "learning_rate": 0.00029980364727107166, "loss": 0.5858, "step": 229 }, { "epoch": 0.65, "learning_rate": 0.00029979864597363845, "loss": 0.5442, "step": 230 }, { "epoch": 0.65, "learning_rate": 0.0002997935818234759, "loss": 0.5392, "step": 231 }, { "epoch": 0.65, "learning_rate": 0.00029978845482270906, "loss": 0.4328, "step": 232 }, { "epoch": 0.65, "learning_rate": 0.0002997832649734889, "loss": 0.5739, "step": 233 }, { "epoch": 0.66, "learning_rate": 0.0002997780122779931, "loss": 0.7016, "step": 234 }, { "epoch": 0.66, "learning_rate": 0.0002997726967384255, "loss": 0.577, "step": 235 }, { "epoch": 0.66, "learning_rate": 0.0002997673183570165, "loss": 0.5955, "step": 236 }, { "epoch": 0.67, "learning_rate": 0.00029976187713602273, "loss": 0.272, "step": 237 }, { "epoch": 0.67, "learning_rate": 0.0002997563730777273, "loss": 0.6432, "step": 238 }, { "epoch": 0.67, "learning_rate": 0.00029975080618443946, "loss": 0.4899, "step": 239 }, { "epoch": 0.67, "learning_rate": 0.00029974517645849503, "loss": 0.5061, "step": 240 }, { "epoch": 0.68, "learning_rate": 0.0002997394839022562, "loss": 0.5742, "step": 241 }, { "epoch": 0.68, "learning_rate": 0.00029973372851811145, "loss": 0.5601, "step": 242 }, { "epoch": 0.68, "learning_rate": 0.00029972791030847553, "loss": 0.766, "step": 243 }, { "epoch": 0.68, "learning_rate": 0.0002997220292757898, "loss": 0.6389, "step": 244 }, { "epoch": 0.69, "learning_rate": 0.0002997160854225217, "loss": 0.5442, "step": 245 }, { "epoch": 0.69, "learning_rate": 0.00029971007875116527, "loss": 0.6111, "step": 246 }, { "epoch": 0.69, "learning_rate": 0.0002997040092642407, "loss": 0.6487, "step": 247 }, { "epoch": 0.7, "learning_rate": 0.0002996978769642947, "loss": 0.5975, "step": 248 }, { "epoch": 0.7, "learning_rate": 0.0002996916818539003, "loss": 0.5919, "step": 249 }, { "epoch": 0.7, "learning_rate": 0.0002996854239356567, "loss": 0.5678, "step": 250 }, { "epoch": 0.7, "eval_loss": 0.5266316533088684, "eval_runtime": 26.2898, "eval_samples_per_second": 7.608, "eval_steps_per_second": 1.902, "step": 250 }, { "dharma_eval_accuracy": 0.36438734124819766, "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145, "dharma_eval_accuracy_ARC-Easy": 0.5, "dharma_eval_accuracy_BoolQ": 0.6851851851851852, "dharma_eval_accuracy_MMLU": 0.4074074074074074, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.2459016393442623, "dharma_eval_accuracy_openbookqa": 0.07407407407407407, "dharma_eval_accuracy_truthful_qa": 0.2777777777777778, "dharma_eval_accuracy_winogrande": 0.37037037037037035, "dharma_loss": 2.7018258204460146, "epoch": 0.7, "step": 250 }, { "epoch": 0.7, "learning_rate": 0.0002996791032121898, "loss": 0.3632, "step": 251 }, { "epoch": 0.71, "learning_rate": 0.0002996727196861515, "loss": 0.5284, "step": 252 }, { "epoch": 0.71, "learning_rate": 0.00029966627336022034, "loss": 0.4349, "step": 253 }, { "epoch": 0.71, "learning_rate": 0.000299659764237101, "loss": 0.4471, "step": 254 }, { "epoch": 0.72, "learning_rate": 0.00029965319231952455, "loss": 0.5277, "step": 255 }, { "epoch": 0.72, "learning_rate": 0.00029964655761024854, "loss": 0.6247, "step": 256 }, { "epoch": 0.72, "learning_rate": 0.00029963986011205675, "loss": 0.6735, "step": 257 }, { "epoch": 0.72, "learning_rate": 0.0002996330998277593, "loss": 0.5861, "step": 258 }, { "epoch": 0.73, "learning_rate": 0.0002996262767601926, "loss": 0.8834, "step": 259 }, { "epoch": 0.73, "learning_rate": 0.0002996193909122197, "loss": 0.4856, "step": 260 }, { "epoch": 0.73, "learning_rate": 0.00029961244228672953, "loss": 0.5929, "step": 261 }, { "epoch": 0.74, "learning_rate": 0.0002996054308866378, "loss": 0.6344, "step": 262 }, { "epoch": 0.74, "learning_rate": 0.0002995983567148862, "loss": 0.4248, "step": 263 }, { "epoch": 0.74, "learning_rate": 0.000299591219774443, "loss": 0.6535, "step": 264 }, { "epoch": 0.74, "learning_rate": 0.00029958402006830274, "loss": 0.4722, "step": 265 }, { "epoch": 0.75, "learning_rate": 0.0002995767575994863, "loss": 0.4557, "step": 266 }, { "epoch": 0.75, "learning_rate": 0.00029956943237104084, "loss": 0.5803, "step": 267 }, { "epoch": 0.75, "learning_rate": 0.0002995620443860399, "loss": 0.6765, "step": 268 }, { "epoch": 0.76, "learning_rate": 0.0002995545936475833, "loss": 0.5386, "step": 269 }, { "epoch": 0.76, "learning_rate": 0.0002995470801587973, "loss": 0.6843, "step": 270 }, { "epoch": 0.76, "learning_rate": 0.0002995395039228343, "loss": 0.629, "step": 271 }, { "epoch": 0.76, "learning_rate": 0.00029953186494287336, "loss": 0.5211, "step": 272 }, { "epoch": 0.77, "learning_rate": 0.0002995241632221195, "loss": 0.5231, "step": 273 }, { "epoch": 0.77, "learning_rate": 0.00029951639876380425, "loss": 0.5548, "step": 274 }, { "epoch": 0.77, "learning_rate": 0.0002995085715711854, "loss": 0.5616, "step": 275 }, { "epoch": 0.77, "eval_loss": 0.534767746925354, "eval_runtime": 26.3271, "eval_samples_per_second": 7.597, "eval_steps_per_second": 1.899, "step": 275 }, { "dharma_eval_accuracy": 0.44850192726145927, "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145, "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.37037037037037035, "dharma_eval_accuracy_agieval": 0.2711864406779661, "dharma_eval_accuracy_bigbench": 0.5245901639344263, "dharma_eval_accuracy_openbookqa": 0.18518518518518517, "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, "dharma_eval_accuracy_winogrande": 0.5, "dharma_loss": 2.7097329370975496, "epoch": 0.77, "step": 275 }, { "epoch": 0.77, "learning_rate": 0.0002995006816475471, "loss": 0.5013, "step": 276 }, { "epoch": 0.78, "learning_rate": 0.00029949272899619994, "loss": 0.6726, "step": 277 }, { "epoch": 0.78, "learning_rate": 0.0002994847136204805, "loss": 0.5449, "step": 278 }, { "epoch": 0.78, "learning_rate": 0.0002994766355237521, "loss": 0.6026, "step": 279 }, { "epoch": 0.79, "learning_rate": 0.0002994684947094039, "loss": 0.4757, "step": 280 }, { "epoch": 0.79, "learning_rate": 0.00029946029118085193, "loss": 0.501, "step": 281 }, { "epoch": 0.79, "learning_rate": 0.000299452024941538, "loss": 0.4933, "step": 282 }, { "epoch": 0.79, "learning_rate": 0.0002994436959949306, "loss": 0.4705, "step": 283 }, { "epoch": 0.8, "learning_rate": 0.0002994353043445244, "loss": 0.8139, "step": 284 }, { "epoch": 0.8, "learning_rate": 0.0002994268499938403, "loss": 0.4696, "step": 285 }, { "epoch": 0.8, "learning_rate": 0.0002994183329464256, "loss": 0.5552, "step": 286 }, { "epoch": 0.81, "learning_rate": 0.00029940975320585396, "loss": 0.5407, "step": 287 }, { "epoch": 0.81, "learning_rate": 0.00029940111077572526, "loss": 0.592, "step": 288 }, { "epoch": 0.81, "learning_rate": 0.00029939240565966574, "loss": 0.5984, "step": 289 }, { "epoch": 0.81, "learning_rate": 0.00029938363786132774, "loss": 0.613, "step": 290 }, { "epoch": 0.82, "learning_rate": 0.00029937480738439023, "loss": 0.4807, "step": 291 }, { "epoch": 0.82, "learning_rate": 0.00029936591423255826, "loss": 0.692, "step": 292 }, { "epoch": 0.82, "learning_rate": 0.00029935695840956327, "loss": 0.5535, "step": 293 }, { "epoch": 0.83, "learning_rate": 0.00029934793991916295, "loss": 0.6597, "step": 294 }, { "epoch": 0.83, "learning_rate": 0.00029933885876514115, "loss": 0.5728, "step": 295 }, { "epoch": 0.83, "learning_rate": 0.0002993297149513083, "loss": 0.5043, "step": 296 }, { "epoch": 0.83, "learning_rate": 0.00029932050848150105, "loss": 0.5827, "step": 297 }, { "epoch": 0.84, "learning_rate": 0.0002993112393595821, "loss": 0.4782, "step": 298 }, { "epoch": 0.84, "learning_rate": 0.0002993019075894406, "loss": 0.4526, "step": 299 }, { "epoch": 0.84, "learning_rate": 0.0002992925131749921, "loss": 0.5883, "step": 300 }, { "epoch": 0.84, "eval_loss": 0.5223216414451599, "eval_runtime": 26.2814, "eval_samples_per_second": 7.61, "eval_steps_per_second": 1.902, "step": 300 }, { "dharma_eval_accuracy": 0.43339599362877435, "dharma_eval_accuracy_ARC-Challenge": 0.46296296296296297, "dharma_eval_accuracy_ARC-Easy": 0.5370370370370371, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.3888888888888889, "dharma_eval_accuracy_agieval": 0.2542372881355932, "dharma_eval_accuracy_bigbench": 0.4426229508196721, "dharma_eval_accuracy_openbookqa": 0.14814814814814814, "dharma_eval_accuracy_truthful_qa": 0.42592592592592593, "dharma_eval_accuracy_winogrande": 0.5370370370370371, "dharma_loss": 2.758728890419006, "epoch": 0.84, "step": 300 }, { "epoch": 0.84, "learning_rate": 0.00029928305612017823, "loss": 0.4232, "step": 301 }, { "epoch": 0.85, "learning_rate": 0.0002992735364289671, "loss": 0.4762, "step": 302 }, { "epoch": 0.85, "learning_rate": 0.0002992639541053528, "loss": 0.4538, "step": 303 }, { "epoch": 0.85, "learning_rate": 0.0002992543091533561, "loss": 0.6404, "step": 304 }, { "epoch": 0.86, "learning_rate": 0.00029924460157702376, "loss": 0.6473, "step": 305 }, { "epoch": 0.86, "learning_rate": 0.0002992348313804289, "loss": 0.57, "step": 306 }, { "epoch": 0.86, "learning_rate": 0.00029922499856767094, "loss": 0.4909, "step": 307 }, { "epoch": 0.86, "learning_rate": 0.00029921510314287545, "loss": 0.48, "step": 308 }, { "epoch": 0.87, "learning_rate": 0.00029920514511019456, "loss": 0.3962, "step": 309 }, { "epoch": 0.87, "learning_rate": 0.00029919512447380625, "loss": 0.7047, "step": 310 }, { "epoch": 0.87, "learning_rate": 0.0002991850412379151, "loss": 0.6004, "step": 311 }, { "epoch": 0.88, "learning_rate": 0.0002991748954067519, "loss": 0.5994, "step": 312 }, { "epoch": 0.88, "learning_rate": 0.0002991646869845736, "loss": 0.7561, "step": 313 }, { "epoch": 0.88, "learning_rate": 0.0002991544159756634, "loss": 0.4333, "step": 314 }, { "epoch": 0.88, "learning_rate": 0.0002991440823843309, "loss": 0.4611, "step": 315 }, { "epoch": 0.89, "learning_rate": 0.0002991336862149119, "loss": 0.5448, "step": 316 }, { "epoch": 0.89, "learning_rate": 0.00029912322747176835, "loss": 0.6594, "step": 317 }, { "epoch": 0.89, "learning_rate": 0.0002991127061592887, "loss": 0.7183, "step": 318 }, { "epoch": 0.9, "learning_rate": 0.00029910212228188734, "loss": 0.7627, "step": 319 }, { "epoch": 0.9, "learning_rate": 0.0002990914758440051, "loss": 0.9302, "step": 320 }, { "epoch": 0.9, "learning_rate": 0.00029908076685010915, "loss": 0.6771, "step": 321 }, { "epoch": 0.9, "learning_rate": 0.0002990699953046926, "loss": 0.6205, "step": 322 }, { "epoch": 0.91, "learning_rate": 0.00029905916121227515, "loss": 0.4057, "step": 323 }, { "epoch": 0.91, "learning_rate": 0.00029904826457740247, "loss": 0.3115, "step": 324 }, { "epoch": 0.91, "learning_rate": 0.00029903730540464666, "loss": 0.5224, "step": 325 }, { "epoch": 0.91, "eval_loss": 0.520789623260498, "eval_runtime": 26.3248, "eval_samples_per_second": 7.597, "eval_steps_per_second": 1.899, "step": 325 }, { "dharma_eval_accuracy": 0.4488672550788571, "dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556, "dharma_eval_accuracy_ARC-Easy": 0.5370370370370371, "dharma_eval_accuracy_BoolQ": 0.7222222222222222, "dharma_eval_accuracy_MMLU": 0.4444444444444444, "dharma_eval_accuracy_agieval": 0.288135593220339, "dharma_eval_accuracy_bigbench": 0.3442622950819672, "dharma_eval_accuracy_openbookqa": 0.12962962962962962, "dharma_eval_accuracy_truthful_qa": 0.4444444444444444, "dharma_eval_accuracy_winogrande": 0.5740740740740741, "dharma_loss": 2.532070637226105, "epoch": 0.91, "step": 325 }, { "epoch": 0.92, "learning_rate": 0.0002990262836986059, "loss": 0.345, "step": 326 }, { "epoch": 0.92, "learning_rate": 0.0002990151994639048, "loss": 0.5683, "step": 327 }, { "epoch": 0.92, "learning_rate": 0.000299004052705194, "loss": 0.4728, "step": 328 }, { "epoch": 0.92, "learning_rate": 0.00029899284342715054, "loss": 0.6099, "step": 329 }, { "epoch": 0.93, "learning_rate": 0.00029898157163447763, "loss": 0.5388, "step": 330 }, { "epoch": 0.93, "learning_rate": 0.0002989702373319047, "loss": 0.5225, "step": 331 }, { "epoch": 0.93, "learning_rate": 0.00029895884052418735, "loss": 0.4954, "step": 332 }, { "epoch": 0.93, "learning_rate": 0.00029894738121610755, "loss": 0.5619, "step": 333 }, { "epoch": 0.94, "learning_rate": 0.0002989358594124733, "loss": 0.5996, "step": 334 }, { "epoch": 0.94, "learning_rate": 0.0002989242751181191, "loss": 0.563, "step": 335 }, { "epoch": 0.94, "learning_rate": 0.0002989126283379054, "loss": 0.4444, "step": 336 }, { "epoch": 0.95, "learning_rate": 0.000298900919076719, "loss": 0.4801, "step": 337 }, { "epoch": 0.95, "learning_rate": 0.00029888914733947275, "loss": 0.538, "step": 338 }, { "epoch": 0.95, "learning_rate": 0.00029887731313110613, "loss": 0.5645, "step": 339 }, { "epoch": 0.95, "learning_rate": 0.0002988654164565843, "loss": 0.6028, "step": 340 }, { "epoch": 0.96, "learning_rate": 0.00029885345732089905, "loss": 0.5545, "step": 341 }, { "epoch": 0.96, "learning_rate": 0.0002988414357290681, "loss": 0.6561, "step": 342 }, { "epoch": 0.96, "learning_rate": 0.0002988293516861356, "loss": 0.5173, "step": 343 }, { "epoch": 0.97, "learning_rate": 0.0002988172051971717, "loss": 0.4821, "step": 344 }, { "epoch": 0.97, "learning_rate": 0.0002988049962672728, "loss": 0.6129, "step": 345 }, { "epoch": 0.97, "learning_rate": 0.0002987927249015616, "loss": 0.6202, "step": 346 }, { "epoch": 0.97, "learning_rate": 0.00029878039110518704, "loss": 0.6002, "step": 347 }, { "epoch": 0.98, "learning_rate": 0.000298767994883324, "loss": 0.5126, "step": 348 }, { "epoch": 0.98, "learning_rate": 0.00029875553624117375, "loss": 0.4087, "step": 349 }, { "epoch": 0.98, "learning_rate": 0.00029874301518396376, "loss": 0.6079, "step": 350 }, { "epoch": 0.98, "eval_loss": 0.517877459526062, "eval_runtime": 26.324, "eval_samples_per_second": 7.598, "eval_steps_per_second": 1.899, "step": 350 }, { "dharma_eval_accuracy": 0.3889552081796841, "dharma_eval_accuracy_ARC-Challenge": 0.4074074074074074, "dharma_eval_accuracy_ARC-Easy": 0.5, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.3333333333333333, "dharma_eval_accuracy_agieval": 0.2033898305084746, "dharma_eval_accuracy_bigbench": 0.2786885245901639, "dharma_eval_accuracy_openbookqa": 0.16666666666666666, "dharma_eval_accuracy_truthful_qa": 0.42592592592592593, "dharma_eval_accuracy_winogrande": 0.48148148148148145, "dharma_loss": 3.0203271565437317, "epoch": 0.98, "step": 350 }, { "epoch": 0.99, "learning_rate": 0.00029873043171694755, "loss": 0.5359, "step": 351 }, { "epoch": 0.99, "learning_rate": 0.0002987177858454049, "loss": 0.38, "step": 352 }, { "epoch": 0.99, "learning_rate": 0.00029870507757464193, "loss": 0.5231, "step": 353 }, { "epoch": 0.99, "learning_rate": 0.0002986923069099906, "loss": 0.4214, "step": 354 }, { "epoch": 1.0, "learning_rate": 0.00029867947385680936, "loss": 0.4848, "step": 355 }, { "epoch": 1.0, "learning_rate": 0.00029866657842048274, "loss": 0.4576, "step": 356 }, { "epoch": 1.0, "learning_rate": 0.00029865362060642136, "loss": 0.646, "step": 357 }, { "epoch": 1.0, "learning_rate": 0.0002986406004200621, "loss": 0.5057, "step": 358 }, { "epoch": 1.01, "learning_rate": 0.00029862751786686797, "loss": 0.4205, "step": 359 }, { "epoch": 1.01, "learning_rate": 0.0002986143729523282, "loss": 0.6047, "step": 360 }, { "epoch": 1.01, "learning_rate": 0.0002986011656819582, "loss": 0.6834, "step": 361 }, { "epoch": 1.02, "learning_rate": 0.0002985878960612993, "loss": 0.6237, "step": 362 }, { "epoch": 1.02, "learning_rate": 0.0002985745640959194, "loss": 0.6008, "step": 363 }, { "epoch": 1.02, "learning_rate": 0.00029856116979141224, "loss": 0.3818, "step": 364 }, { "epoch": 1.02, "learning_rate": 0.00029854771315339785, "loss": 0.4934, "step": 365 }, { "epoch": 1.03, "learning_rate": 0.0002985341941875224, "loss": 0.5155, "step": 366 }, { "epoch": 1.03, "learning_rate": 0.0002985206128994581, "loss": 0.459, "step": 367 }, { "epoch": 1.03, "learning_rate": 0.0002985069692949036, "loss": 0.5994, "step": 368 }, { "epoch": 1.04, "learning_rate": 0.0002984932633795833, "loss": 0.428, "step": 369 }, { "epoch": 1.04, "learning_rate": 0.00029847949515924806, "loss": 0.4198, "step": 370 }, { "epoch": 1.04, "learning_rate": 0.00029846566463967477, "loss": 0.4873, "step": 371 }, { "epoch": 1.04, "learning_rate": 0.0002984517718266664, "loss": 0.4244, "step": 372 }, { "epoch": 1.05, "learning_rate": 0.00029843781672605216, "loss": 0.3869, "step": 373 }, { "epoch": 1.05, "learning_rate": 0.00029842379934368735, "loss": 0.5182, "step": 374 }, { "epoch": 1.05, "learning_rate": 0.0002984097196854534, "loss": 0.5025, "step": 375 }, { "epoch": 1.05, "eval_loss": 0.5205254554748535, "eval_runtime": 26.3484, "eval_samples_per_second": 7.591, "eval_steps_per_second": 1.898, "step": 375 }, { "dharma_eval_accuracy": 0.4285106631128675, "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, "dharma_eval_accuracy_ARC-Easy": 0.2777777777777778, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2037037037037037, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.35185185185185186, "dharma_eval_accuracy_truthful_qa": 0.7962962962962963, "dharma_eval_accuracy_winogrande": 0.5370370370370371, "dharma_loss": 2.4590850338935852, "epoch": 1.05, "step": 375 }, { "epoch": 1.06, "learning_rate": 0.0002983955777572578, "loss": 0.6176, "step": 376 }, { "epoch": 1.06, "learning_rate": 0.0002983813735650344, "loss": 0.5538, "step": 377 }, { "epoch": 1.06, "learning_rate": 0.00029836710711474287, "loss": 0.3406, "step": 378 }, { "epoch": 1.06, "learning_rate": 0.0002983527784123692, "loss": 0.6863, "step": 379 }, { "epoch": 1.07, "learning_rate": 0.0002983383874639254, "loss": 0.5004, "step": 380 }, { "epoch": 1.07, "learning_rate": 0.0002983239342754498, "loss": 0.4399, "step": 381 }, { "epoch": 1.07, "learning_rate": 0.0002983094188530065, "loss": 0.6056, "step": 382 }, { "epoch": 1.08, "learning_rate": 0.000298294841202686, "loss": 0.3585, "step": 383 }, { "epoch": 1.08, "learning_rate": 0.0002982802013306048, "loss": 0.3589, "step": 384 }, { "epoch": 1.08, "learning_rate": 0.00029826549924290557, "loss": 0.4443, "step": 385 }, { "epoch": 1.08, "learning_rate": 0.0002982507349457569, "loss": 0.4661, "step": 386 }, { "epoch": 1.09, "learning_rate": 0.00029823590844535366, "loss": 0.5678, "step": 387 }, { "epoch": 1.09, "learning_rate": 0.0002982210197479169, "loss": 0.3639, "step": 388 }, { "epoch": 1.09, "learning_rate": 0.00029820606885969347, "loss": 0.3408, "step": 389 }, { "epoch": 1.09, "learning_rate": 0.00029819105578695655, "loss": 0.487, "step": 390 }, { "epoch": 1.1, "learning_rate": 0.0002981759805360054, "loss": 0.4763, "step": 391 }, { "epoch": 1.1, "learning_rate": 0.0002981608431131653, "loss": 0.4435, "step": 392 }, { "epoch": 1.1, "learning_rate": 0.00029814564352478753, "loss": 0.5277, "step": 393 }, { "epoch": 1.11, "learning_rate": 0.00029813038177724965, "loss": 0.5039, "step": 394 }, { "epoch": 1.11, "learning_rate": 0.00029811505787695524, "loss": 0.3175, "step": 395 }, { "epoch": 1.11, "learning_rate": 0.0002980996718303338, "loss": 0.5833, "step": 396 }, { "epoch": 1.11, "learning_rate": 0.00029808422364384113, "loss": 0.5385, "step": 397 }, { "epoch": 1.12, "learning_rate": 0.00029806871332395895, "loss": 0.452, "step": 398 }, { "epoch": 1.12, "learning_rate": 0.0002980531408771951, "loss": 0.5055, "step": 399 }, { "epoch": 1.12, "learning_rate": 0.00029803750631008356, "loss": 0.5219, "step": 400 }, { "epoch": 1.12, "eval_loss": 0.5226805210113525, "eval_runtime": 26.3767, "eval_samples_per_second": 7.582, "eval_steps_per_second": 1.896, "step": 400 }, { "dharma_eval_accuracy": 0.37912794706348474, "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, "dharma_eval_accuracy_ARC-Easy": 0.2777777777777778, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2037037037037037, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.16666666666666666, "dharma_eval_accuracy_truthful_qa": 0.5370370370370371, "dharma_eval_accuracy_winogrande": 0.5370370370370371, "dharma_loss": 2.5074869017601014, "epoch": 1.12, "step": 400 }, { "epoch": 1.13, "learning_rate": 0.00029802180962918426, "loss": 0.3184, "step": 401 }, { "epoch": 1.13, "learning_rate": 0.00029800605084108315, "loss": 0.583, "step": 402 }, { "epoch": 1.13, "learning_rate": 0.0002979902299523925, "loss": 0.6319, "step": 403 }, { "epoch": 1.13, "learning_rate": 0.00029797434696975035, "loss": 0.4879, "step": 404 }, { "epoch": 1.14, "learning_rate": 0.0002979584018998209, "loss": 0.4589, "step": 405 }, { "epoch": 1.14, "learning_rate": 0.0002979423947492944, "loss": 0.4799, "step": 406 }, { "epoch": 1.14, "learning_rate": 0.0002979263255248872, "loss": 0.4208, "step": 407 }, { "epoch": 1.15, "learning_rate": 0.0002979101942333416, "loss": 0.4944, "step": 408 }, { "epoch": 1.15, "learning_rate": 0.00029789400088142605, "loss": 0.4458, "step": 409 }, { "epoch": 1.15, "learning_rate": 0.000297877745475935, "loss": 0.7163, "step": 410 }, { "epoch": 1.15, "learning_rate": 0.00029786142802368877, "loss": 0.388, "step": 411 }, { "epoch": 1.16, "learning_rate": 0.00029784504853153397, "loss": 0.4361, "step": 412 }, { "epoch": 1.16, "learning_rate": 0.0002978286070063431, "loss": 0.4336, "step": 413 }, { "epoch": 1.16, "learning_rate": 0.0002978121034550148, "loss": 0.4103, "step": 414 }, { "epoch": 1.16, "learning_rate": 0.00029779553788447357, "loss": 0.4731, "step": 415 }, { "epoch": 1.17, "learning_rate": 0.00029777891030167, "loss": 0.5297, "step": 416 }, { "epoch": 1.17, "learning_rate": 0.00029776222071358074, "loss": 0.6597, "step": 417 }, { "epoch": 1.17, "learning_rate": 0.0002977454691272084, "loss": 0.4055, "step": 418 }, { "epoch": 1.18, "learning_rate": 0.0002977286555495818, "loss": 0.4292, "step": 419 }, { "epoch": 1.18, "learning_rate": 0.00029771177998775536, "loss": 0.4474, "step": 420 }, { "epoch": 1.18, "learning_rate": 0.0002976948424488099, "loss": 0.5432, "step": 421 }, { "epoch": 1.18, "learning_rate": 0.0002976778429398521, "loss": 0.5991, "step": 422 }, { "epoch": 1.19, "learning_rate": 0.00029766078146801453, "loss": 0.3645, "step": 423 }, { "epoch": 1.19, "learning_rate": 0.000297643658040456, "loss": 0.6296, "step": 424 }, { "epoch": 1.19, "learning_rate": 0.0002976264726643611, "loss": 0.3538, "step": 425 }, { "epoch": 1.19, "eval_loss": 0.5256252288818359, "eval_runtime": 26.3606, "eval_samples_per_second": 7.587, "eval_steps_per_second": 1.897, "step": 425 }, { "dharma_eval_accuracy": 0.3914736260758304, "dharma_eval_accuracy_ARC-Challenge": 0.25925925925925924, "dharma_eval_accuracy_ARC-Easy": 0.3333333333333333, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2222222222222222, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.2037037037037037, "dharma_eval_accuracy_truthful_qa": 0.5370370370370371, "dharma_eval_accuracy_winogrande": 0.5185185185185185, "dharma_loss": 2.387819214820862, "epoch": 1.19, "step": 425 }, { "epoch": 1.2, "learning_rate": 0.00029760922534694055, "loss": 0.5401, "step": 426 }, { "epoch": 1.2, "learning_rate": 0.00029759191609543095, "loss": 0.511, "step": 427 }, { "epoch": 1.2, "learning_rate": 0.0002975745449170949, "loss": 0.3225, "step": 428 }, { "epoch": 1.2, "learning_rate": 0.0002975571118192212, "loss": 0.6389, "step": 429 }, { "epoch": 1.21, "learning_rate": 0.00029753961680912427, "loss": 0.8466, "step": 430 }, { "epoch": 1.21, "learning_rate": 0.00029752205989414475, "loss": 0.5068, "step": 431 }, { "epoch": 1.21, "learning_rate": 0.0002975044410816492, "loss": 0.6129, "step": 432 }, { "epoch": 1.22, "learning_rate": 0.0002974867603790302, "loss": 0.5928, "step": 433 }, { "epoch": 1.22, "learning_rate": 0.0002974690177937062, "loss": 0.5895, "step": 434 }, { "epoch": 1.22, "learning_rate": 0.00029745121333312163, "loss": 0.4582, "step": 435 }, { "epoch": 1.22, "learning_rate": 0.00029743334700474693, "loss": 0.4909, "step": 436 }, { "epoch": 1.23, "learning_rate": 0.00029741541881607854, "loss": 0.5243, "step": 437 }, { "epoch": 1.23, "learning_rate": 0.00029739742877463865, "loss": 0.4624, "step": 438 }, { "epoch": 1.23, "learning_rate": 0.0002973793768879757, "loss": 0.4072, "step": 439 }, { "epoch": 1.24, "learning_rate": 0.0002973612631636638, "loss": 0.5176, "step": 440 }, { "epoch": 1.24, "learning_rate": 0.0002973430876093033, "loss": 0.5494, "step": 441 }, { "epoch": 1.24, "learning_rate": 0.00029732485023252015, "loss": 0.7099, "step": 442 }, { "epoch": 1.24, "learning_rate": 0.0002973065510409665, "loss": 0.4408, "step": 443 }, { "epoch": 1.25, "learning_rate": 0.00029728819004232036, "loss": 0.5634, "step": 444 }, { "epoch": 1.25, "learning_rate": 0.0002972697672442856, "loss": 0.4925, "step": 445 }, { "epoch": 1.25, "learning_rate": 0.0002972512826545922, "loss": 0.5279, "step": 446 }, { "epoch": 1.25, "learning_rate": 0.0002972327362809958, "loss": 0.4325, "step": 447 }, { "epoch": 1.26, "learning_rate": 0.0002972141281312782, "loss": 0.3719, "step": 448 }, { "epoch": 1.26, "learning_rate": 0.000297195458213247, "loss": 0.4714, "step": 449 }, { "epoch": 1.26, "learning_rate": 0.0002971767265347358, "loss": 0.5246, "step": 450 }, { "epoch": 1.26, "eval_loss": 0.5236319899559021, "eval_runtime": 26.3909, "eval_samples_per_second": 7.578, "eval_steps_per_second": 1.895, "step": 450 }, { "dharma_eval_accuracy": 0.3974720915846538, "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, "dharma_eval_accuracy_ARC-Easy": 0.35185185185185186, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2962962962962963, "dharma_eval_accuracy_agieval": 0.2542372881355932, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.24074074074074073, "dharma_eval_accuracy_truthful_qa": 0.5555555555555556, "dharma_eval_accuracy_winogrande": 0.42592592592592593, "dharma_loss": 2.5349762744903566, "epoch": 1.26, "step": 450 }, { "epoch": 1.27, "learning_rate": 0.0002971579331036041, "loss": 0.5459, "step": 451 }, { "epoch": 1.27, "learning_rate": 0.00029713907792773716, "loss": 0.6227, "step": 452 }, { "epoch": 1.27, "learning_rate": 0.0002971201610150463, "loss": 0.2325, "step": 453 }, { "epoch": 1.27, "learning_rate": 0.0002971011823734688, "loss": 0.4858, "step": 454 }, { "epoch": 1.28, "learning_rate": 0.00029708214201096755, "loss": 0.4082, "step": 455 }, { "epoch": 1.28, "learning_rate": 0.0002970630399355317, "loss": 0.5423, "step": 456 }, { "epoch": 1.28, "learning_rate": 0.00029704387615517606, "loss": 0.3744, "step": 457 }, { "epoch": 1.29, "learning_rate": 0.00029702465067794144, "loss": 0.4369, "step": 458 }, { "epoch": 1.29, "learning_rate": 0.00029700536351189445, "loss": 0.5204, "step": 459 }, { "epoch": 1.29, "learning_rate": 0.0002969860146651276, "loss": 0.6042, "step": 460 }, { "epoch": 1.29, "learning_rate": 0.0002969666041457594, "loss": 0.6086, "step": 461 }, { "epoch": 1.3, "learning_rate": 0.00029694713196193404, "loss": 0.5142, "step": 462 }, { "epoch": 1.3, "learning_rate": 0.0002969275981218218, "loss": 0.3872, "step": 463 }, { "epoch": 1.3, "learning_rate": 0.0002969080026336186, "loss": 0.5711, "step": 464 }, { "epoch": 1.31, "learning_rate": 0.00029688834550554646, "loss": 0.439, "step": 465 }, { "epoch": 1.31, "learning_rate": 0.00029686862674585307, "loss": 0.3885, "step": 466 }, { "epoch": 1.31, "learning_rate": 0.00029684884636281203, "loss": 0.677, "step": 467 }, { "epoch": 1.31, "learning_rate": 0.00029682900436472286, "loss": 0.4995, "step": 468 }, { "epoch": 1.32, "learning_rate": 0.00029680910075991087, "loss": 0.4725, "step": 469 }, { "epoch": 1.32, "learning_rate": 0.0002967891355567273, "loss": 0.5783, "step": 470 }, { "epoch": 1.32, "learning_rate": 0.0002967691087635491, "loss": 0.4683, "step": 471 }, { "epoch": 1.32, "learning_rate": 0.0002967490203887793, "loss": 0.5214, "step": 472 }, { "epoch": 1.33, "learning_rate": 0.00029672887044084636, "loss": 0.4094, "step": 473 }, { "epoch": 1.33, "learning_rate": 0.000296708658928205, "loss": 0.3472, "step": 474 }, { "epoch": 1.33, "learning_rate": 0.00029668838585933556, "loss": 0.4722, "step": 475 }, { "epoch": 1.33, "eval_loss": 0.5200064182281494, "eval_runtime": 26.399, "eval_samples_per_second": 7.576, "eval_steps_per_second": 1.894, "step": 475 }, { "dharma_eval_accuracy": 0.4099921445943489, "dharma_eval_accuracy_ARC-Challenge": 0.25925925925925924, "dharma_eval_accuracy_ARC-Easy": 0.37037037037037035, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.24074074074074073, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.2777777777777778, "dharma_eval_accuracy_truthful_qa": 0.6111111111111112, "dharma_eval_accuracy_winogrande": 0.48148148148148145, "dharma_loss": 2.660856533527374, "epoch": 1.33, "step": 475 }, { "epoch": 1.34, "learning_rate": 0.00029666805124274425, "loss": 0.3981, "step": 476 }, { "epoch": 1.34, "learning_rate": 0.00029664765508696306, "loss": 0.4488, "step": 477 }, { "epoch": 1.34, "learning_rate": 0.0002966271974005499, "loss": 0.5023, "step": 478 }, { "epoch": 1.34, "learning_rate": 0.00029660667819208836, "loss": 0.5216, "step": 479 }, { "epoch": 1.35, "learning_rate": 0.0002965860974701879, "loss": 0.58, "step": 480 }, { "epoch": 1.35, "learning_rate": 0.00029656545524348396, "loss": 0.5255, "step": 481 }, { "epoch": 1.35, "learning_rate": 0.0002965447515206375, "loss": 0.2772, "step": 482 }, { "epoch": 1.36, "learning_rate": 0.00029652398631033547, "loss": 0.3947, "step": 483 }, { "epoch": 1.36, "learning_rate": 0.0002965031596212905, "loss": 0.5062, "step": 484 }, { "epoch": 1.36, "learning_rate": 0.0002964822714622412, "loss": 0.6169, "step": 485 }, { "epoch": 1.36, "learning_rate": 0.0002964613218419517, "loss": 0.3895, "step": 486 }, { "epoch": 1.37, "learning_rate": 0.0002964403107692122, "loss": 0.4819, "step": 487 }, { "epoch": 1.37, "learning_rate": 0.00029641923825283854, "loss": 0.5174, "step": 488 }, { "epoch": 1.37, "learning_rate": 0.0002963981043016723, "loss": 0.3454, "step": 489 }, { "epoch": 1.38, "learning_rate": 0.000296376908924581, "loss": 0.5092, "step": 490 }, { "epoch": 1.38, "learning_rate": 0.0002963556521304577, "loss": 0.4422, "step": 491 }, { "epoch": 1.38, "learning_rate": 0.0002963343339282214, "loss": 0.522, "step": 492 }, { "epoch": 1.38, "learning_rate": 0.0002963129543268168, "loss": 0.3454, "step": 493 }, { "epoch": 1.39, "learning_rate": 0.00029629151333521446, "loss": 0.4304, "step": 494 }, { "epoch": 1.39, "learning_rate": 0.00029627001096241057, "loss": 0.339, "step": 495 }, { "epoch": 1.39, "learning_rate": 0.0002962484472174271, "loss": 0.4912, "step": 496 }, { "epoch": 1.4, "learning_rate": 0.0002962268221093118, "loss": 0.4258, "step": 497 }, { "epoch": 1.4, "learning_rate": 0.0002962051356471383, "loss": 0.4818, "step": 498 }, { "epoch": 1.4, "learning_rate": 0.0002961833878400056, "loss": 0.6166, "step": 499 }, { "epoch": 1.4, "learning_rate": 0.0002961615786970389, "loss": 0.6639, "step": 500 }, { "epoch": 1.4, "eval_loss": 0.5184725522994995, "eval_runtime": 26.336, "eval_samples_per_second": 7.594, "eval_steps_per_second": 1.899, "step": 500 }, { "dharma_eval_accuracy": 0.40587691825690037, "dharma_eval_accuracy_ARC-Challenge": 0.2777777777777778, "dharma_eval_accuracy_ARC-Easy": 0.37037037037037035, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2037037037037037, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.25925925925925924, "dharma_eval_accuracy_truthful_qa": 0.5925925925925926, "dharma_eval_accuracy_winogrande": 0.5, "dharma_loss": 2.3869275097846985, "epoch": 1.4, "step": 500 }, { "epoch": 1.41, "learning_rate": 0.00029613970822738874, "loss": 0.3681, "step": 501 }, { "epoch": 1.41, "learning_rate": 0.0002961177764402317, "loss": 0.6636, "step": 502 }, { "epoch": 1.41, "learning_rate": 0.00029609578334476987, "loss": 0.4073, "step": 503 }, { "epoch": 1.41, "learning_rate": 0.0002960737289502311, "loss": 0.3434, "step": 504 }, { "epoch": 1.42, "learning_rate": 0.00029605161326586916, "loss": 0.7326, "step": 505 }, { "epoch": 1.42, "learning_rate": 0.00029602943630096325, "loss": 0.5293, "step": 506 }, { "epoch": 1.42, "learning_rate": 0.00029600719806481844, "loss": 0.5706, "step": 507 }, { "epoch": 1.43, "learning_rate": 0.0002959848985667655, "loss": 0.631, "step": 508 }, { "epoch": 1.43, "learning_rate": 0.00029596253781616084, "loss": 0.596, "step": 509 }, { "epoch": 1.43, "learning_rate": 0.0002959401158223867, "loss": 0.6091, "step": 510 }, { "epoch": 1.43, "learning_rate": 0.00029591763259485083, "loss": 0.7195, "step": 511 }, { "epoch": 1.44, "learning_rate": 0.0002958950881429869, "loss": 0.3447, "step": 512 }, { "epoch": 1.44, "learning_rate": 0.000295872482476254, "loss": 0.5116, "step": 513 }, { "epoch": 1.44, "learning_rate": 0.00029584981560413717, "loss": 0.4223, "step": 514 }, { "epoch": 1.45, "learning_rate": 0.0002958270875361469, "loss": 0.5816, "step": 515 }, { "epoch": 1.45, "learning_rate": 0.0002958042982818196, "loss": 0.4418, "step": 516 }, { "epoch": 1.45, "learning_rate": 0.0002957814478507171, "loss": 0.2934, "step": 517 }, { "epoch": 1.45, "learning_rate": 0.00029575853625242704, "loss": 0.4441, "step": 518 }, { "epoch": 1.46, "learning_rate": 0.00029573556349656277, "loss": 0.4365, "step": 519 }, { "epoch": 1.46, "learning_rate": 0.0002957125295927631, "loss": 0.4386, "step": 520 }, { "epoch": 1.46, "learning_rate": 0.00029568943455069276, "loss": 0.4075, "step": 521 }, { "epoch": 1.47, "learning_rate": 0.00029566627838004193, "loss": 0.514, "step": 522 }, { "epoch": 1.47, "learning_rate": 0.0002956430610905265, "loss": 0.4582, "step": 523 }, { "epoch": 1.47, "learning_rate": 0.00029561978269188814, "loss": 0.6063, "step": 524 }, { "epoch": 1.47, "learning_rate": 0.0002955964431938939, "loss": 0.4946, "step": 525 }, { "epoch": 1.47, "eval_loss": 0.5167276263237, "eval_runtime": 26.3841, "eval_samples_per_second": 7.58, "eval_steps_per_second": 1.895, "step": 525 }, { "dharma_eval_accuracy": 0.4205163299819223, "dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148, "dharma_eval_accuracy_ARC-Easy": 0.4074074074074074, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2962962962962963, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.4918032786885246, "dharma_eval_accuracy_openbookqa": 0.25925925925925924, "dharma_eval_accuracy_truthful_qa": 0.5555555555555556, "dharma_eval_accuracy_winogrande": 0.5185185185185185, "dharma_loss": 2.4176649556159973, "epoch": 1.47, "step": 525 }, { "epoch": 1.48, "learning_rate": 0.0002955730426063365, "loss": 0.3617, "step": 526 }, { "epoch": 1.48, "learning_rate": 0.00029554958093903466, "loss": 0.3467, "step": 527 }, { "epoch": 1.48, "learning_rate": 0.00029552605820183235, "loss": 0.3097, "step": 528 }, { "epoch": 1.48, "learning_rate": 0.00029550247440459916, "loss": 0.5096, "step": 529 }, { "epoch": 1.49, "learning_rate": 0.0002954788295572305, "loss": 0.3795, "step": 530 }, { "epoch": 1.49, "learning_rate": 0.00029545512366964735, "loss": 0.5871, "step": 531 }, { "epoch": 1.49, "learning_rate": 0.00029543135675179626, "loss": 0.57, "step": 532 }, { "epoch": 1.5, "learning_rate": 0.00029540752881364925, "loss": 0.5311, "step": 533 }, { "epoch": 1.5, "learning_rate": 0.00029538363986520425, "loss": 0.6116, "step": 534 }, { "epoch": 1.5, "learning_rate": 0.00029535968991648454, "loss": 0.4658, "step": 535 }, { "epoch": 1.5, "learning_rate": 0.00029533567897753905, "loss": 0.4921, "step": 536 }, { "epoch": 1.51, "learning_rate": 0.0002953116070584424, "loss": 0.4214, "step": 537 }, { "epoch": 1.51, "learning_rate": 0.00029528747416929463, "loss": 0.5963, "step": 538 }, { "epoch": 1.51, "learning_rate": 0.00029526328032022155, "loss": 0.6592, "step": 539 }, { "epoch": 1.52, "learning_rate": 0.00029523902552137433, "loss": 0.5055, "step": 540 }, { "epoch": 1.52, "learning_rate": 0.00029521470978292994, "loss": 0.4382, "step": 541 }, { "epoch": 1.52, "learning_rate": 0.00029519033311509077, "loss": 0.3389, "step": 542 }, { "epoch": 1.52, "learning_rate": 0.0002951658955280848, "loss": 0.3762, "step": 543 }, { "epoch": 1.53, "learning_rate": 0.0002951413970321657, "loss": 0.4591, "step": 544 }, { "epoch": 1.53, "learning_rate": 0.0002951168376376124, "loss": 0.4736, "step": 545 }, { "epoch": 1.53, "learning_rate": 0.0002950922173547296, "loss": 0.526, "step": 546 }, { "epoch": 1.54, "learning_rate": 0.00029506753619384766, "loss": 0.5705, "step": 547 }, { "epoch": 1.54, "learning_rate": 0.00029504279416532223, "loss": 0.5082, "step": 548 }, { "epoch": 1.54, "learning_rate": 0.00029501799127953465, "loss": 0.539, "step": 549 }, { "epoch": 1.54, "learning_rate": 0.0002949931275468917, "loss": 0.2924, "step": 550 }, { "epoch": 1.54, "eval_loss": 0.5201791524887085, "eval_runtime": 26.3162, "eval_samples_per_second": 7.6, "eval_steps_per_second": 1.9, "step": 550 }, { "dharma_eval_accuracy": 0.40152557237549985, "dharma_eval_accuracy_ARC-Challenge": 0.2777777777777778, "dharma_eval_accuracy_ARC-Easy": 0.37037037037037035, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2777777777777778, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5245901639344263, "dharma_eval_accuracy_openbookqa": 0.18518518518518517, "dharma_eval_accuracy_truthful_qa": 0.5370370370370371, "dharma_eval_accuracy_winogrande": 0.5, "dharma_loss": 2.79382320022583, "epoch": 1.54, "step": 550 }, { "epoch": 1.55, "learning_rate": 0.00029496820297782574, "loss": 0.5506, "step": 551 }, { "epoch": 1.55, "learning_rate": 0.00029494321758279465, "loss": 0.4246, "step": 552 }, { "epoch": 1.55, "learning_rate": 0.0002949181713722819, "loss": 0.5631, "step": 553 }, { "epoch": 1.56, "learning_rate": 0.0002948930643567964, "loss": 0.5545, "step": 554 }, { "epoch": 1.56, "learning_rate": 0.00029486789654687253, "loss": 0.5853, "step": 555 }, { "epoch": 1.56, "learning_rate": 0.00029484266795307037, "loss": 0.3963, "step": 556 }, { "epoch": 1.56, "learning_rate": 0.0002948173785859752, "loss": 0.4131, "step": 557 }, { "epoch": 1.57, "learning_rate": 0.000294792028456198, "loss": 0.4353, "step": 558 }, { "epoch": 1.57, "learning_rate": 0.0002947666175743753, "loss": 0.5085, "step": 559 }, { "epoch": 1.57, "learning_rate": 0.00029474114595116896, "loss": 0.4826, "step": 560 }, { "epoch": 1.57, "learning_rate": 0.00029471561359726645, "loss": 0.4227, "step": 561 }, { "epoch": 1.58, "learning_rate": 0.0002946900205233807, "loss": 0.4017, "step": 562 }, { "epoch": 1.58, "learning_rate": 0.00029466436674024997, "loss": 0.4241, "step": 563 }, { "epoch": 1.58, "learning_rate": 0.0002946386522586382, "loss": 0.5668, "step": 564 }, { "epoch": 1.59, "learning_rate": 0.00029461287708933473, "loss": 0.2967, "step": 565 }, { "epoch": 1.59, "learning_rate": 0.00029458704124315425, "loss": 0.5195, "step": 566 }, { "epoch": 1.59, "learning_rate": 0.0002945611447309371, "loss": 0.4797, "step": 567 }, { "epoch": 1.59, "learning_rate": 0.00029453518756354885, "loss": 0.51, "step": 568 }, { "epoch": 1.6, "learning_rate": 0.0002945091697518808, "loss": 0.4373, "step": 569 }, { "epoch": 1.6, "learning_rate": 0.0002944830913068494, "loss": 0.6092, "step": 570 }, { "epoch": 1.6, "learning_rate": 0.0002944569522393968, "loss": 0.3854, "step": 571 }, { "epoch": 1.61, "learning_rate": 0.00029443075256049036, "loss": 0.6177, "step": 572 }, { "epoch": 1.61, "learning_rate": 0.0002944044922811231, "loss": 0.3344, "step": 573 }, { "epoch": 1.61, "learning_rate": 0.0002943781714123132, "loss": 0.4778, "step": 574 }, { "epoch": 1.61, "learning_rate": 0.00029435178996510455, "loss": 0.5104, "step": 575 }, { "epoch": 1.61, "eval_loss": 0.5130020976066589, "eval_runtime": 26.3402, "eval_samples_per_second": 7.593, "eval_steps_per_second": 1.898, "step": 575 }, { "dharma_eval_accuracy": 0.41822259726924604, "dharma_eval_accuracy_ARC-Challenge": 0.2962962962962963, "dharma_eval_accuracy_ARC-Easy": 0.35185185185185186, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2777777777777778, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.25925925925925924, "dharma_eval_accuracy_truthful_qa": 0.6111111111111112, "dharma_eval_accuracy_winogrande": 0.5185185185185185, "dharma_loss": 2.5953469643592832, "epoch": 1.61, "step": 575 }, { "epoch": 1.62, "learning_rate": 0.0002943253479505662, "loss": 0.4253, "step": 576 }, { "epoch": 1.62, "learning_rate": 0.0002942988453797928, "loss": 0.4838, "step": 577 }, { "epoch": 1.62, "learning_rate": 0.00029427228226390424, "loss": 0.5504, "step": 578 }, { "epoch": 1.63, "learning_rate": 0.00029424565861404606, "loss": 0.566, "step": 579 }, { "epoch": 1.63, "learning_rate": 0.00029421897444138897, "loss": 0.3383, "step": 580 }, { "epoch": 1.63, "learning_rate": 0.00029419222975712915, "loss": 0.4251, "step": 581 }, { "epoch": 1.63, "learning_rate": 0.00029416542457248816, "loss": 0.5096, "step": 582 }, { "epoch": 1.64, "learning_rate": 0.000294138558898713, "loss": 0.5763, "step": 583 }, { "epoch": 1.64, "learning_rate": 0.000294111632747076, "loss": 0.4761, "step": 584 }, { "epoch": 1.64, "learning_rate": 0.0002940846461288748, "loss": 0.4975, "step": 585 }, { "epoch": 1.64, "learning_rate": 0.00029405759905543256, "loss": 0.408, "step": 586 }, { "epoch": 1.65, "learning_rate": 0.00029403049153809774, "loss": 0.6146, "step": 587 }, { "epoch": 1.65, "learning_rate": 0.0002940033235882441, "loss": 0.4863, "step": 588 }, { "epoch": 1.65, "learning_rate": 0.0002939760952172708, "loss": 0.597, "step": 589 }, { "epoch": 1.66, "learning_rate": 0.0002939488064366024, "loss": 0.4794, "step": 590 }, { "epoch": 1.66, "learning_rate": 0.00029392145725768874, "loss": 0.5193, "step": 591 }, { "epoch": 1.66, "learning_rate": 0.0002938940476920051, "loss": 0.4921, "step": 592 }, { "epoch": 1.66, "learning_rate": 0.0002938665777510519, "loss": 0.709, "step": 593 }, { "epoch": 1.67, "learning_rate": 0.0002938390474463551, "loss": 0.4127, "step": 594 }, { "epoch": 1.67, "learning_rate": 0.00029381145678946584, "loss": 0.523, "step": 595 }, { "epoch": 1.67, "learning_rate": 0.00029378380579196076, "loss": 0.4203, "step": 596 }, { "epoch": 1.68, "learning_rate": 0.00029375609446544165, "loss": 0.6356, "step": 597 }, { "epoch": 1.68, "learning_rate": 0.0002937283228215356, "loss": 0.5171, "step": 598 }, { "epoch": 1.68, "learning_rate": 0.00029370049087189514, "loss": 0.6632, "step": 599 }, { "epoch": 1.68, "learning_rate": 0.00029367259862819804, "loss": 0.5575, "step": 600 }, { "epoch": 1.68, "eval_loss": 0.5110138058662415, "eval_runtime": 26.3409, "eval_samples_per_second": 7.593, "eval_steps_per_second": 1.898, "step": 600 }, { "dharma_eval_accuracy": 0.42028021043797037, "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, "dharma_eval_accuracy_ARC-Easy": 0.37037037037037035, "dharma_eval_accuracy_BoolQ": 0.7037037037037037, "dharma_eval_accuracy_MMLU": 0.2777777777777778, "dharma_eval_accuracy_agieval": 0.23728813559322035, "dharma_eval_accuracy_bigbench": 0.5081967213114754, "dharma_eval_accuracy_openbookqa": 0.3148148148148148, "dharma_eval_accuracy_truthful_qa": 0.5925925925925926, "dharma_eval_accuracy_winogrande": 0.5370370370370371, "dharma_loss": 2.4995884108543396, "epoch": 1.68, "step": 600 } ], "max_steps": 5000, "num_train_epochs": 15, "total_flos": 1.9307426648459674e+17, "trial_name": null, "trial_params": null }