| { |
| "best_metric": 0.510773241519928, |
| "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": 0.6847, |
| "step": 3 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 8e-06, |
| "loss": 0.6876, |
| "step": 4 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 9.999999999999999e-06, |
| "loss": 0.5964, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 1.1999999999999999e-05, |
| "loss": 0.6592, |
| "step": 6 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 1.4e-05, |
| "loss": 0.6261, |
| "step": 7 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 1.6e-05, |
| "loss": 0.6892, |
| "step": 8 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 1.7999999999999997e-05, |
| "loss": 0.538, |
| "step": 9 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 1.9999999999999998e-05, |
| "loss": 0.6015, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 2.2e-05, |
| "loss": 0.7061, |
| "step": 11 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 2.3999999999999997e-05, |
| "loss": 0.6329, |
| "step": 12 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 2.6e-05, |
| "loss": 0.5633, |
| "step": 13 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 2.8e-05, |
| "loss": 0.5499, |
| "step": 14 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 2.9999999999999997e-05, |
| "loss": 0.5846, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 3.2e-05, |
| "loss": 0.7056, |
| "step": 16 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 3.399999999999999e-05, |
| "loss": 0.9478, |
| "step": 17 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 3.5999999999999994e-05, |
| "loss": 0.7119, |
| "step": 18 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 3.8e-05, |
| "loss": 0.5115, |
| "step": 19 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 3.9999999999999996e-05, |
| "loss": 0.6481, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 4.2e-05, |
| "loss": 1.0479, |
| "step": 21 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 4.4e-05, |
| "loss": 0.9266, |
| "step": 22 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 4.599999999999999e-05, |
| "loss": 0.7517, |
| "step": 23 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 4.7999999999999994e-05, |
| "loss": 0.7024, |
| "step": 24 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 4.9999999999999996e-05, |
| "loss": 0.6996, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.07, |
| "eval_loss": 0.6741535663604736, |
| "eval_runtime": 26.372, |
| "eval_samples_per_second": 7.584, |
| "eval_steps_per_second": 1.896, |
| "step": 25 |
| }, |
| { |
| "dharma_eval_accuracy": 0.47090526975371527, |
| "dharma_eval_accuracy_ARC-Challenge": 0.6296296296296297, |
| "dharma_eval_accuracy_ARC-Easy": 0.7592592592592593, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.4444444444444444, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "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": 3.7834435443878176, |
| "epoch": 0.07, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 5.2e-05, |
| "loss": 0.6123, |
| "step": 26 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 5.399999999999999e-05, |
| "loss": 0.608, |
| "step": 27 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 5.6e-05, |
| "loss": 0.4845, |
| "step": 28 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 5.7999999999999994e-05, |
| "loss": 0.6026, |
| "step": 29 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 5.9999999999999995e-05, |
| "loss": 0.87, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 6.199999999999999e-05, |
| "loss": 0.9898, |
| "step": 31 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 6.4e-05, |
| "loss": 0.7354, |
| "step": 32 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 6.599999999999999e-05, |
| "loss": 0.5053, |
| "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": 0.7425, |
| "step": 36 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 7.4e-05, |
| "loss": 0.8268, |
| "step": 37 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 7.6e-05, |
| "loss": 0.5957, |
| "step": 38 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 7.8e-05, |
| "loss": 0.5579, |
| "step": 39 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 7.999999999999999e-05, |
| "loss": 0.7978, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 8.199999999999999e-05, |
| "loss": 0.8261, |
| "step": 41 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 8.4e-05, |
| "loss": 0.7618, |
| "step": 42 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 8.6e-05, |
| "loss": 0.6062, |
| "step": 43 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 8.8e-05, |
| "loss": 0.5791, |
| "step": 44 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 8.999999999999999e-05, |
| "loss": 0.6008, |
| "step": 45 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 9.199999999999999e-05, |
| "loss": 0.5143, |
| "step": 46 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 9.4e-05, |
| "loss": 0.5329, |
| "step": 47 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 9.599999999999999e-05, |
| "loss": 0.6973, |
| "step": 48 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 9.799999999999998e-05, |
| "loss": 0.615, |
| "step": 49 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 9.999999999999999e-05, |
| "loss": 0.6362, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.14, |
| "eval_loss": 0.6042094826698303, |
| "eval_runtime": 26.344, |
| "eval_samples_per_second": 7.592, |
| "eval_steps_per_second": 1.898, |
| "step": 50 |
| }, |
| { |
| "dharma_eval_accuracy": 0.4825425901342051, |
| "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": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.45901639344262296, |
| "dharma_eval_accuracy_openbookqa": 0.3333333333333333, |
| "dharma_eval_accuracy_truthful_qa": 0.35185185185185186, |
| "dharma_eval_accuracy_winogrande": 0.46296296296296297, |
| "dharma_loss": 2.1548793907165527, |
| "epoch": 0.14, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 0.000102, |
| "loss": 0.6567, |
| "step": 51 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.000104, |
| "loss": 0.9786, |
| "step": 52 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.00010599999999999999, |
| "loss": 0.6146, |
| "step": 53 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.00010799999999999998, |
| "loss": 0.6402, |
| "step": 54 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.00010999999999999998, |
| "loss": 0.5906, |
| "step": 55 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.000112, |
| "loss": 0.6441, |
| "step": 56 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.00011399999999999999, |
| "loss": 0.6887, |
| "step": 57 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.00011599999999999999, |
| "loss": 0.6283, |
| "step": 58 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00011799999999999998, |
| "loss": 0.5929, |
| "step": 59 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00011999999999999999, |
| "loss": 0.6939, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.000122, |
| "loss": 0.5535, |
| "step": 61 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00012399999999999998, |
| "loss": 0.5457, |
| "step": 62 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.00012599999999999997, |
| "loss": 0.6425, |
| "step": 63 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.000128, |
| "loss": 0.6855, |
| "step": 64 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.00013, |
| "loss": 0.5396, |
| "step": 65 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.00013199999999999998, |
| "loss": 0.6307, |
| "step": 66 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.00013399999999999998, |
| "loss": 0.6396, |
| "step": 67 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.00013599999999999997, |
| "loss": 0.5727, |
| "step": 68 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.000138, |
| "loss": 0.4812, |
| "step": 69 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00014, |
| "loss": 0.5658, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00014199999999999998, |
| "loss": 0.6314, |
| "step": 71 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00014399999999999998, |
| "loss": 0.6175, |
| "step": 72 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.000146, |
| "loss": 0.5468, |
| "step": 73 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.000148, |
| "loss": 0.6233, |
| "step": 74 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.00015, |
| "loss": 0.5276, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.21, |
| "eval_loss": 0.5642657279968262, |
| "eval_runtime": 26.2701, |
| "eval_samples_per_second": 7.613, |
| "eval_steps_per_second": 1.903, |
| "step": 75 |
| }, |
| { |
| "dharma_eval_accuracy": 0.45038002097061713, |
| "dharma_eval_accuracy_ARC-Challenge": 0.6111111111111112, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.42592592592592593, |
| "dharma_eval_accuracy_agieval": 0.2033898305084746, |
| "dharma_eval_accuracy_bigbench": 0.4426229508196721, |
| "dharma_eval_accuracy_openbookqa": 0.14814814814814814, |
| "dharma_eval_accuracy_truthful_qa": 0.42592592592592593, |
| "dharma_eval_accuracy_winogrande": 0.48148148148148145, |
| "dharma_loss": 2.056876979827881, |
| "epoch": 0.21, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.000152, |
| "loss": 0.5308, |
| "step": 76 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00015399999999999998, |
| "loss": 0.6546, |
| "step": 77 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.000156, |
| "loss": 0.6451, |
| "step": 78 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00015799999999999996, |
| "loss": 0.5255, |
| "step": 79 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00015999999999999999, |
| "loss": 0.5629, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.000162, |
| "loss": 0.6642, |
| "step": 81 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.00016399999999999997, |
| "loss": 0.6393, |
| "step": 82 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.000166, |
| "loss": 0.5073, |
| "step": 83 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.000168, |
| "loss": 0.5628, |
| "step": 84 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00016999999999999999, |
| "loss": 0.5566, |
| "step": 85 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.000172, |
| "loss": 0.4653, |
| "step": 86 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00017399999999999997, |
| "loss": 0.5322, |
| "step": 87 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.000176, |
| "loss": 0.7131, |
| "step": 88 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.000178, |
| "loss": 0.5586, |
| "step": 89 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.00017999999999999998, |
| "loss": 0.7246, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.00018199999999999998, |
| "loss": 0.6527, |
| "step": 91 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.00018399999999999997, |
| "loss": 0.8067, |
| "step": 92 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.000186, |
| "loss": 0.6427, |
| "step": 93 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.000188, |
| "loss": 0.6309, |
| "step": 94 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.00018999999999999998, |
| "loss": 0.6111, |
| "step": 95 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.00019199999999999998, |
| "loss": 0.5911, |
| "step": 96 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.00019399999999999997, |
| "loss": 0.6372, |
| "step": 97 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00019599999999999997, |
| "loss": 0.5664, |
| "step": 98 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.000198, |
| "loss": 0.5618, |
| "step": 99 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00019999999999999998, |
| "loss": 0.7154, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.28, |
| "eval_loss": 0.5470997095108032, |
| "eval_runtime": 26.3144, |
| "eval_samples_per_second": 7.6, |
| "eval_steps_per_second": 1.9, |
| "step": 100 |
| }, |
| { |
| "dharma_eval_accuracy": 0.398478315307064, |
| "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": 0.4262295081967213, |
| "dharma_eval_accuracy_openbookqa": 0.07407407407407407, |
| "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, |
| "dharma_eval_accuracy_winogrande": 0.25925925925925924, |
| "dharma_loss": 2.5759267053604127, |
| "epoch": 0.28, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00020199999999999998, |
| "loss": 0.5837, |
| "step": 101 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.000204, |
| "loss": 0.5707, |
| "step": 102 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.00020599999999999997, |
| "loss": 0.7798, |
| "step": 103 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.000208, |
| "loss": 0.4922, |
| "step": 104 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.00020999999999999998, |
| "loss": 0.7033, |
| "step": 105 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.00021199999999999998, |
| "loss": 0.7297, |
| "step": 106 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.000214, |
| "loss": 0.5376, |
| "step": 107 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.00021599999999999996, |
| "loss": 0.5372, |
| "step": 108 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00021799999999999999, |
| "loss": 0.7453, |
| "step": 109 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00021999999999999995, |
| "loss": 0.4582, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00022199999999999998, |
| "loss": 0.54, |
| "step": 111 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.000224, |
| "loss": 0.643, |
| "step": 112 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.00022599999999999996, |
| "loss": 0.5972, |
| "step": 113 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.00022799999999999999, |
| "loss": 0.5765, |
| "step": 114 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.00023, |
| "loss": 0.6007, |
| "step": 115 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00023199999999999997, |
| "loss": 0.5343, |
| "step": 116 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.000234, |
| "loss": 0.8235, |
| "step": 117 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00023599999999999996, |
| "loss": 0.6687, |
| "step": 118 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00023799999999999998, |
| "loss": 0.6696, |
| "step": 119 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.00023999999999999998, |
| "loss": 0.77, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.00024199999999999997, |
| "loss": 0.5792, |
| "step": 121 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.000244, |
| "loss": 0.3653, |
| "step": 122 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00024599999999999996, |
| "loss": 0.5344, |
| "step": 123 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00024799999999999996, |
| "loss": 0.5772, |
| "step": 124 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00025, |
| "loss": 0.7189, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.35, |
| "eval_loss": 0.5514405369758606, |
| "eval_runtime": 26.3447, |
| "eval_samples_per_second": 7.592, |
| "eval_steps_per_second": 1.898, |
| "step": 125 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3371043854202756, |
| "dharma_eval_accuracy_ARC-Challenge": 0.37037037037037035, |
| "dharma_eval_accuracy_ARC-Easy": 0.42592592592592593, |
| "dharma_eval_accuracy_BoolQ": 0.37037037037037035, |
| "dharma_eval_accuracy_MMLU": 0.35185185185185186, |
| "dharma_eval_accuracy_agieval": 0.22033898305084745, |
| "dharma_eval_accuracy_bigbench": 0.29508196721311475, |
| "dharma_eval_accuracy_openbookqa": 0.18518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, |
| "dharma_eval_accuracy_winogrande": 0.42592592592592593, |
| "dharma_loss": 2.1871530780792234, |
| "epoch": 0.35, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00025199999999999995, |
| "loss": 0.5891, |
| "step": 126 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.000254, |
| "loss": 0.8225, |
| "step": 127 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.000256, |
| "loss": 0.6104, |
| "step": 128 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.000258, |
| "loss": 0.6571, |
| "step": 129 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00026, |
| "loss": 0.7562, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.00026199999999999997, |
| "loss": 0.7172, |
| "step": 131 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.00026399999999999997, |
| "loss": 0.4353, |
| "step": 132 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.000266, |
| "loss": 0.5576, |
| "step": 133 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.00026799999999999995, |
| "loss": 0.553, |
| "step": 134 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.00027, |
| "loss": 0.5062, |
| "step": 135 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.00027199999999999994, |
| "loss": 0.4819, |
| "step": 136 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.000274, |
| "loss": 0.6195, |
| "step": 137 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.000276, |
| "loss": 0.7592, |
| "step": 138 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.000278, |
| "loss": 0.6118, |
| "step": 139 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.00028, |
| "loss": 0.7897, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00028199999999999997, |
| "loss": 0.5879, |
| "step": 141 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00028399999999999996, |
| "loss": 0.6055, |
| "step": 142 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00028599999999999996, |
| "loss": 0.541, |
| "step": 143 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00028799999999999995, |
| "loss": 0.7665, |
| "step": 144 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.00029, |
| "loss": 0.612, |
| "step": 145 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.000292, |
| "loss": 0.5397, |
| "step": 146 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.000294, |
| "loss": 0.5727, |
| "step": 147 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.000296, |
| "loss": 1.1184, |
| "step": 148 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.000298, |
| "loss": 0.5912, |
| "step": 149 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0003, |
| "loss": 0.5581, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.42, |
| "eval_loss": 0.5423073768615723, |
| "eval_runtime": 26.3108, |
| "eval_samples_per_second": 7.601, |
| "eval_steps_per_second": 1.9, |
| "step": 150 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3860708907481159, |
| "dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593, |
| "dharma_eval_accuracy_ARC-Easy": 0.4444444444444444, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.4426229508196721, |
| "dharma_eval_accuracy_openbookqa": 0.18518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.2962962962962963, |
| "dharma_eval_accuracy_winogrande": 0.35185185185185186, |
| "dharma_loss": 2.471666145801544, |
| "epoch": 0.42, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0002999999685313931, |
| "loss": 0.656, |
| "step": 151 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.00029999987412558584, |
| "loss": 0.5075, |
| "step": 152 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.0002999997167826177, |
| "loss": 0.4696, |
| "step": 153 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.00029999949650255474, |
| "loss": 0.7349, |
| "step": 154 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002999992132854894, |
| "loss": 0.5935, |
| "step": 155 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002999988671315404, |
| "loss": 0.4127, |
| "step": 156 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002999984580408531, |
| "loss": 0.5503, |
| "step": 157 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.00029999798601359915, |
| "loss": 0.5742, |
| "step": 158 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.00029999745104997654, |
| "loss": 0.5606, |
| "step": 159 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.0002999968531502098, |
| "loss": 0.6209, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.0002999961923145497, |
| "loss": 0.4977, |
| "step": 161 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.0002999954685432736, |
| "loss": 0.7474, |
| "step": 162 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.0002999946818366852, |
| "loss": 0.574, |
| "step": 163 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.00029999383219511444, |
| "loss": 0.3991, |
| "step": 164 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.0002999929196189179, |
| "loss": 0.6335, |
| "step": 165 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.0002999919441084786, |
| "loss": 0.6144, |
| "step": 166 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.0002999909056642057, |
| "loss": 0.4695, |
| "step": 167 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.00029998980428653496, |
| "loss": 0.5322, |
| "step": 168 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.00029998863997592843, |
| "loss": 0.6111, |
| "step": 169 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00029998741273287477, |
| "loss": 0.5517, |
| "step": 170 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.0002999861225578888, |
| "loss": 0.5407, |
| "step": 171 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00029998476945151183, |
| "loss": 0.4942, |
| "step": 172 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.00029998335341431174, |
| "loss": 0.4563, |
| "step": 173 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.0002999818744468825, |
| "loss": 0.4406, |
| "step": 174 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.0002999803325498448, |
| "loss": 0.5319, |
| "step": 175 |
| }, |
| { |
| "epoch": 0.49, |
| "eval_loss": 0.5312690734863281, |
| "eval_runtime": 26.3302, |
| "eval_samples_per_second": 7.596, |
| "eval_steps_per_second": 1.899, |
| "step": 175 |
| }, |
| { |
| "dharma_eval_accuracy": 0.40200352864364475, |
| "dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593, |
| "dharma_eval_accuracy_ARC-Easy": 0.5, |
| "dharma_eval_accuracy_BoolQ": 0.7592592592592593, |
| "dharma_eval_accuracy_MMLU": 0.4074074074074074, |
| "dharma_eval_accuracy_agieval": 0.22033898305084745, |
| "dharma_eval_accuracy_bigbench": 0.36065573770491804, |
| "dharma_eval_accuracy_openbookqa": 0.2222222222222222, |
| "dharma_eval_accuracy_truthful_qa": 0.2962962962962963, |
| "dharma_eval_accuracy_winogrande": 0.42592592592592593, |
| "dharma_loss": 2.2439456572532652, |
| "epoch": 0.49, |
| "step": 175 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.0002999787277238455, |
| "loss": 0.7389, |
| "step": 176 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.000299977059969558, |
| "loss": 0.6848, |
| "step": 177 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.00029997532928768204, |
| "loss": 0.5144, |
| "step": 178 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.00029997353567894384, |
| "loss": 0.5707, |
| "step": 179 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0002999716791440959, |
| "loss": 0.668, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.00029996975968391715, |
| "loss": 0.4851, |
| "step": 181 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.000299967777299213, |
| "loss": 0.725, |
| "step": 182 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0002999657319908153, |
| "loss": 0.6281, |
| "step": 183 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.0002999636237595821, |
| "loss": 0.6357, |
| "step": 184 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.00029996145260639806, |
| "loss": 0.5517, |
| "step": 185 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.0002999592185321741, |
| "loss": 0.6792, |
| "step": 186 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.0002999569215378477, |
| "loss": 0.619, |
| "step": 187 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.0002999545616243825, |
| "loss": 0.5693, |
| "step": 188 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.00029995213879276876, |
| "loss": 0.5759, |
| "step": 189 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.000299949653044023, |
| "loss": 0.4382, |
| "step": 190 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00029994710437918824, |
| "loss": 0.7183, |
| "step": 191 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.0002999444927993338, |
| "loss": 0.7328, |
| "step": 192 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00029994181830555555, |
| "loss": 0.645, |
| "step": 193 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00029993908089897555, |
| "loss": 0.5784, |
| "step": 194 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.00029993628058074245, |
| "loss": 0.4547, |
| "step": 195 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.00029993341735203114, |
| "loss": 0.5243, |
| "step": 196 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.00029993049121404303, |
| "loss": 0.5059, |
| "step": 197 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.0002999275021680058, |
| "loss": 0.6225, |
| "step": 198 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.0002999244502151737, |
| "loss": 0.5956, |
| "step": 199 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.00029992133535682725, |
| "loss": 0.553, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.56, |
| "eval_loss": 0.5266188979148865, |
| "eval_runtime": 26.3, |
| "eval_samples_per_second": 7.605, |
| "eval_steps_per_second": 1.901, |
| "step": 200 |
| }, |
| { |
| "dharma_eval_accuracy": 0.4282802607491564, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5185185185185185, |
| "dharma_eval_accuracy_ARC-Easy": 0.5740740740740741, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.4074074074074074, |
| "dharma_eval_accuracy_agieval": 0.22033898305084745, |
| "dharma_eval_accuracy_bigbench": 0.39344262295081966, |
| "dharma_eval_accuracy_openbookqa": 0.14814814814814814, |
| "dharma_eval_accuracy_truthful_qa": 0.3148148148148148, |
| "dharma_eval_accuracy_winogrande": 0.5740740740740741, |
| "dharma_loss": 2.507861177444458, |
| "epoch": 0.56, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.0002999181575942733, |
| "loss": 0.4542, |
| "step": 201 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 0.0002999149169288452, |
| "loss": 0.568, |
| "step": 202 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 0.0002999116133619028, |
| "loss": 0.462, |
| "step": 203 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 0.0002999082468948321, |
| "loss": 0.4854, |
| "step": 204 |
| }, |
| { |
| "epoch": 0.58, |
| "learning_rate": 0.00029990481752904563, |
| "loss": 0.474, |
| "step": 205 |
| }, |
| { |
| "epoch": 0.58, |
| "learning_rate": 0.0002999013252659823, |
| "loss": 0.5331, |
| "step": 206 |
| }, |
| { |
| "epoch": 0.58, |
| "learning_rate": 0.0002998977701071074, |
| "loss": 0.606, |
| "step": 207 |
| }, |
| { |
| "epoch": 0.58, |
| "learning_rate": 0.00029989415205391263, |
| "loss": 0.5452, |
| "step": 208 |
| }, |
| { |
| "epoch": 0.59, |
| "learning_rate": 0.00029989047110791595, |
| "loss": 0.6128, |
| "step": 209 |
| }, |
| { |
| "epoch": 0.59, |
| "learning_rate": 0.0002998867272706619, |
| "loss": 0.7108, |
| "step": 210 |
| }, |
| { |
| "epoch": 0.59, |
| "learning_rate": 0.0002998829205437214, |
| "loss": 0.5557, |
| "step": 211 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 0.0002998790509286915, |
| "loss": 0.556, |
| "step": 212 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 0.000299875118427196, |
| "loss": 0.6482, |
| "step": 213 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 0.00029987112304088483, |
| "loss": 0.6108, |
| "step": 214 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 0.0002998670647714343, |
| "loss": 0.7099, |
| "step": 215 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 0.0002998629436205473, |
| "loss": 0.5939, |
| "step": 216 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 0.00029985875958995296, |
| "loss": 0.6238, |
| "step": 217 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 0.00029985451268140683, |
| "loss": 0.5144, |
| "step": 218 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 0.00029985020289669077, |
| "loss": 0.7351, |
| "step": 219 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 0.00029984583023761317, |
| "loss": 0.6136, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 0.0002998413947060086, |
| "loss": 0.7544, |
| "step": 221 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 0.00029983689630373825, |
| "loss": 0.5588, |
| "step": 222 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 0.0002998323350326895, |
| "loss": 0.5725, |
| "step": 223 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 0.0002998277108947762, |
| "loss": 0.6262, |
| "step": 224 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 0.00029982302389193856, |
| "loss": 0.6217, |
| "step": 225 |
| }, |
| { |
| "epoch": 0.63, |
| "eval_loss": 0.527147114276886, |
| "eval_runtime": 26.3496, |
| "eval_samples_per_second": 7.59, |
| "eval_steps_per_second": 1.898, |
| "step": 225 |
| }, |
| { |
| "dharma_eval_accuracy": 0.39483532805751936, |
| "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.5185185185185185, |
| "dharma_eval_accuracy_agieval": 0.2711864406779661, |
| "dharma_eval_accuracy_bigbench": 0.39344262295081966, |
| "dharma_eval_accuracy_openbookqa": 0.037037037037037035, |
| "dharma_eval_accuracy_truthful_qa": 0.18518518518518517, |
| "dharma_eval_accuracy_winogrande": 0.35185185185185186, |
| "dharma_loss": 2.334738277435303, |
| "epoch": 0.63, |
| "step": 225 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 0.0002998182740261432, |
| "loss": 0.6376, |
| "step": 226 |
| }, |
| { |
| "epoch": 0.64, |
| "learning_rate": 0.0002998134612993829, |
| "loss": 0.5943, |
| "step": 227 |
| }, |
| { |
| "epoch": 0.64, |
| "learning_rate": 0.0002998085857136772, |
| "loss": 0.4096, |
| "step": 228 |
| }, |
| { |
| "epoch": 0.64, |
| "learning_rate": 0.00029980364727107166, |
| "loss": 0.5825, |
| "step": 229 |
| }, |
| { |
| "epoch": 0.65, |
| "learning_rate": 0.00029979864597363845, |
| "loss": 0.5372, |
| "step": 230 |
| }, |
| { |
| "epoch": 0.65, |
| "learning_rate": 0.0002997935818234759, |
| "loss": 0.5376, |
| "step": 231 |
| }, |
| { |
| "epoch": 0.65, |
| "learning_rate": 0.00029978845482270906, |
| "loss": 0.4369, |
| "step": 232 |
| }, |
| { |
| "epoch": 0.65, |
| "learning_rate": 0.0002997832649734889, |
| "loss": 0.5717, |
| "step": 233 |
| }, |
| { |
| "epoch": 0.66, |
| "learning_rate": 0.0002997780122779931, |
| "loss": 0.6981, |
| "step": 234 |
| }, |
| { |
| "epoch": 0.66, |
| "learning_rate": 0.0002997726967384255, |
| "loss": 0.5764, |
| "step": 235 |
| }, |
| { |
| "epoch": 0.66, |
| "learning_rate": 0.0002997673183570165, |
| "loss": 0.5937, |
| "step": 236 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 0.00029976187713602273, |
| "loss": 0.2708, |
| "step": 237 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 0.0002997563730777273, |
| "loss": 0.6383, |
| "step": 238 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 0.00029975080618443946, |
| "loss": 0.491, |
| "step": 239 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 0.00029974517645849503, |
| "loss": 0.5049, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.68, |
| "learning_rate": 0.0002997394839022562, |
| "loss": 0.5768, |
| "step": 241 |
| }, |
| { |
| "epoch": 0.68, |
| "learning_rate": 0.00029973372851811145, |
| "loss": 0.566, |
| "step": 242 |
| }, |
| { |
| "epoch": 0.68, |
| "learning_rate": 0.00029972791030847553, |
| "loss": 0.7687, |
| "step": 243 |
| }, |
| { |
| "epoch": 0.68, |
| "learning_rate": 0.0002997220292757898, |
| "loss": 0.6399, |
| "step": 244 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 0.0002997160854225217, |
| "loss": 0.545, |
| "step": 245 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 0.00029971007875116527, |
| "loss": 0.6108, |
| "step": 246 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 0.0002997040092642407, |
| "loss": 0.6478, |
| "step": 247 |
| }, |
| { |
| "epoch": 0.7, |
| "learning_rate": 0.0002996978769642947, |
| "loss": 0.5959, |
| "step": 248 |
| }, |
| { |
| "epoch": 0.7, |
| "learning_rate": 0.0002996916818539003, |
| "loss": 0.5995, |
| "step": 249 |
| }, |
| { |
| "epoch": 0.7, |
| "learning_rate": 0.0002996854239356567, |
| "loss": 0.5721, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.7, |
| "eval_loss": 0.5253523588180542, |
| "eval_runtime": 26.3162, |
| "eval_samples_per_second": 7.6, |
| "eval_steps_per_second": 1.9, |
| "step": 250 |
| }, |
| { |
| "dharma_eval_accuracy": 0.35750614311016893, |
| "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145, |
| "dharma_eval_accuracy_ARC-Easy": 0.5370370370370371, |
| "dharma_eval_accuracy_BoolQ": 0.6851851851851852, |
| "dharma_eval_accuracy_MMLU": 0.3888888888888889, |
| "dharma_eval_accuracy_agieval": 0.23728813559322035, |
| "dharma_eval_accuracy_bigbench": 0.29508196721311475, |
| "dharma_eval_accuracy_openbookqa": 0.018518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.2222222222222222, |
| "dharma_eval_accuracy_winogrande": 0.35185185185185186, |
| "dharma_loss": 3.018469988822937, |
| "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": 0.5306, |
| "step": 252 |
| }, |
| { |
| "epoch": 0.71, |
| "learning_rate": 0.00029966627336022034, |
| "loss": 0.4332, |
| "step": 253 |
| }, |
| { |
| "epoch": 0.71, |
| "learning_rate": 0.000299659764237101, |
| "loss": 0.4484, |
| "step": 254 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.00029965319231952455, |
| "loss": 0.5353, |
| "step": 255 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.00029964655761024854, |
| "loss": 0.6232, |
| "step": 256 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.00029963986011205675, |
| "loss": 0.672, |
| "step": 257 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.0002996330998277593, |
| "loss": 0.5865, |
| "step": 258 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 0.0002996262767601926, |
| "loss": 0.8846, |
| "step": 259 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 0.0002996193909122197, |
| "loss": 0.4847, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 0.00029961244228672953, |
| "loss": 0.5886, |
| "step": 261 |
| }, |
| { |
| "epoch": 0.74, |
| "learning_rate": 0.0002996054308866378, |
| "loss": 0.6324, |
| "step": 262 |
| }, |
| { |
| "epoch": 0.74, |
| "learning_rate": 0.0002995983567148862, |
| "loss": 0.4812, |
| "step": 263 |
| }, |
| { |
| "epoch": 0.74, |
| "learning_rate": 0.000299591219774443, |
| "loss": 0.6549, |
| "step": 264 |
| }, |
| { |
| "epoch": 0.74, |
| "learning_rate": 0.00029958402006830274, |
| "loss": 0.4712, |
| "step": 265 |
| }, |
| { |
| "epoch": 0.75, |
| "learning_rate": 0.0002995767575994863, |
| "loss": 0.452, |
| "step": 266 |
| }, |
| { |
| "epoch": 0.75, |
| "learning_rate": 0.00029956943237104084, |
| "loss": 0.5716, |
| "step": 267 |
| }, |
| { |
| "epoch": 0.75, |
| "learning_rate": 0.0002995620443860399, |
| "loss": 0.6757, |
| "step": 268 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 0.0002995545936475833, |
| "loss": 0.5403, |
| "step": 269 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 0.0002995470801587973, |
| "loss": 0.6785, |
| "step": 270 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 0.0002995395039228343, |
| "loss": 0.6292, |
| "step": 271 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 0.00029953186494287336, |
| "loss": 0.5181, |
| "step": 272 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 0.0002995241632221195, |
| "loss": 0.5219, |
| "step": 273 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 0.00029951639876380425, |
| "loss": 0.5475, |
| "step": 274 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 0.0002995085715711854, |
| "loss": 0.5605, |
| "step": 275 |
| }, |
| { |
| "epoch": 0.77, |
| "eval_loss": 0.5327661633491516, |
| "eval_runtime": 26.3174, |
| "eval_samples_per_second": 7.6, |
| "eval_steps_per_second": 1.9, |
| "step": 275 |
| }, |
| { |
| "dharma_eval_accuracy": 0.4329237545408704, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.47540983606557374, |
| "dharma_eval_accuracy_openbookqa": 0.09259259259259259, |
| "dharma_eval_accuracy_truthful_qa": 0.3148148148148148, |
| "dharma_eval_accuracy_winogrande": 0.5185185185185185, |
| "dharma_loss": 2.377507550239563, |
| "epoch": 0.77, |
| "step": 275 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 0.0002995006816475471, |
| "loss": 0.5067, |
| "step": 276 |
| }, |
| { |
| "epoch": 0.78, |
| "learning_rate": 0.00029949272899619994, |
| "loss": 0.6751, |
| "step": 277 |
| }, |
| { |
| "epoch": 0.78, |
| "learning_rate": 0.0002994847136204805, |
| "loss": 0.5557, |
| "step": 278 |
| }, |
| { |
| "epoch": 0.78, |
| "learning_rate": 0.0002994766355237521, |
| "loss": 0.6013, |
| "step": 279 |
| }, |
| { |
| "epoch": 0.79, |
| "learning_rate": 0.0002994684947094039, |
| "loss": 0.4763, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.79, |
| "learning_rate": 0.00029946029118085193, |
| "loss": 0.5, |
| "step": 281 |
| }, |
| { |
| "epoch": 0.79, |
| "learning_rate": 0.000299452024941538, |
| "loss": 0.4948, |
| "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": 0.4713, |
| "step": 285 |
| }, |
| { |
| "epoch": 0.8, |
| "learning_rate": 0.0002994183329464256, |
| "loss": 0.5527, |
| "step": 286 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 0.00029940975320585396, |
| "loss": 0.5425, |
| "step": 287 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 0.00029940111077572526, |
| "loss": 0.5926, |
| "step": 288 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 0.00029939240565966574, |
| "loss": 0.5987, |
| "step": 289 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 0.00029938363786132774, |
| "loss": 0.6077, |
| "step": 290 |
| }, |
| { |
| "epoch": 0.82, |
| "learning_rate": 0.00029937480738439023, |
| "loss": 0.4822, |
| "step": 291 |
| }, |
| { |
| "epoch": 0.82, |
| "learning_rate": 0.00029936591423255826, |
| "loss": 0.6527, |
| "step": 292 |
| }, |
| { |
| "epoch": 0.82, |
| "learning_rate": 0.00029935695840956327, |
| "loss": 0.5724, |
| "step": 293 |
| }, |
| { |
| "epoch": 0.83, |
| "learning_rate": 0.00029934793991916295, |
| "loss": 0.6617, |
| "step": 294 |
| }, |
| { |
| "epoch": 0.83, |
| "learning_rate": 0.00029933885876514115, |
| "loss": 0.5795, |
| "step": 295 |
| }, |
| { |
| "epoch": 0.83, |
| "learning_rate": 0.0002993297149513083, |
| "loss": 0.5049, |
| "step": 296 |
| }, |
| { |
| "epoch": 0.83, |
| "learning_rate": 0.00029932050848150105, |
| "loss": 0.5826, |
| "step": 297 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 0.0002993112393595821, |
| "loss": 0.4766, |
| "step": 298 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 0.0002993019075894406, |
| "loss": 0.4514, |
| "step": 299 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 0.0002992925131749921, |
| "loss": 0.5825, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.84, |
| "eval_loss": 0.5207599401473999, |
| "eval_runtime": 26.3377, |
| "eval_samples_per_second": 7.594, |
| "eval_steps_per_second": 1.898, |
| "step": 300 |
| }, |
| { |
| "dharma_eval_accuracy": 0.42874678265681937, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.3333333333333333, |
| "dharma_eval_accuracy_agieval": 0.23728813559322035, |
| "dharma_eval_accuracy_bigbench": 0.4918032786885246, |
| "dharma_eval_accuracy_openbookqa": 0.09259259259259259, |
| "dharma_eval_accuracy_truthful_qa": 0.2962962962962963, |
| "dharma_eval_accuracy_winogrande": 0.5925925925925926, |
| "dharma_loss": 2.452057005882263, |
| "epoch": 0.84, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 0.00029928305612017823, |
| "loss": 0.4251, |
| "step": 301 |
| }, |
| { |
| "epoch": 0.85, |
| "learning_rate": 0.0002992735364289671, |
| "loss": 0.4762, |
| "step": 302 |
| }, |
| { |
| "epoch": 0.85, |
| "learning_rate": 0.0002992639541053528, |
| "loss": 0.4531, |
| "step": 303 |
| }, |
| { |
| "epoch": 0.85, |
| "learning_rate": 0.0002992543091533561, |
| "loss": 0.64, |
| "step": 304 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 0.00029924460157702376, |
| "loss": 0.6483, |
| "step": 305 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 0.0002992348313804289, |
| "loss": 0.5646, |
| "step": 306 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 0.00029922499856767094, |
| "loss": 0.4947, |
| "step": 307 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 0.00029921510314287545, |
| "loss": 0.4793, |
| "step": 308 |
| }, |
| { |
| "epoch": 0.87, |
| "learning_rate": 0.00029920514511019456, |
| "loss": 0.3957, |
| "step": 309 |
| }, |
| { |
| "epoch": 0.87, |
| "learning_rate": 0.00029919512447380625, |
| "loss": 0.6941, |
| "step": 310 |
| }, |
| { |
| "epoch": 0.87, |
| "learning_rate": 0.0002991850412379151, |
| "loss": 0.6013, |
| "step": 311 |
| }, |
| { |
| "epoch": 0.88, |
| "learning_rate": 0.0002991748954067519, |
| "loss": 0.6011, |
| "step": 312 |
| }, |
| { |
| "epoch": 0.88, |
| "learning_rate": 0.0002991646869845736, |
| "loss": 0.7579, |
| "step": 313 |
| }, |
| { |
| "epoch": 0.88, |
| "learning_rate": 0.0002991544159756634, |
| "loss": 0.4339, |
| "step": 314 |
| }, |
| { |
| "epoch": 0.88, |
| "learning_rate": 0.0002991440823843309, |
| "loss": 0.4666, |
| "step": 315 |
| }, |
| { |
| "epoch": 0.89, |
| "learning_rate": 0.0002991336862149119, |
| "loss": 0.5458, |
| "step": 316 |
| }, |
| { |
| "epoch": 0.89, |
| "learning_rate": 0.00029912322747176835, |
| "loss": 0.6499, |
| "step": 317 |
| }, |
| { |
| "epoch": 0.89, |
| "learning_rate": 0.0002991127061592887, |
| "loss": 0.7208, |
| "step": 318 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 0.00029910212228188734, |
| "loss": 0.7648, |
| "step": 319 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 0.0002990914758440051, |
| "loss": 0.9322, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 0.00029908076685010915, |
| "loss": 0.6769, |
| "step": 321 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 0.0002990699953046926, |
| "loss": 0.6241, |
| "step": 322 |
| }, |
| { |
| "epoch": 0.91, |
| "learning_rate": 0.00029905916121227515, |
| "loss": 0.409, |
| "step": 323 |
| }, |
| { |
| "epoch": 0.91, |
| "learning_rate": 0.00029904826457740247, |
| "loss": 0.3138, |
| "step": 324 |
| }, |
| { |
| "epoch": 0.91, |
| "learning_rate": 0.00029903730540464666, |
| "loss": 0.5241, |
| "step": 325 |
| }, |
| { |
| "epoch": 0.91, |
| "eval_loss": 0.5201582908630371, |
| "eval_runtime": 26.3949, |
| "eval_samples_per_second": 7.577, |
| "eval_steps_per_second": 1.894, |
| "step": 325 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3616831149942199, |
| "dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444, |
| "dharma_eval_accuracy_ARC-Easy": 0.5, |
| "dharma_eval_accuracy_BoolQ": 0.7222222222222222, |
| "dharma_eval_accuracy_MMLU": 0.4444444444444444, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.2786885245901639, |
| "dharma_eval_accuracy_openbookqa": 0.05555555555555555, |
| "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, |
| "dharma_eval_accuracy_winogrande": 0.16666666666666666, |
| "dharma_loss": 2.3925395412445067, |
| "epoch": 0.91, |
| "step": 325 |
| }, |
| { |
| "epoch": 0.92, |
| "learning_rate": 0.0002990262836986059, |
| "loss": 0.358, |
| "step": 326 |
| }, |
| { |
| "epoch": 0.92, |
| "learning_rate": 0.0002990151994639048, |
| "loss": 0.5683, |
| "step": 327 |
| }, |
| { |
| "epoch": 0.92, |
| "learning_rate": 0.000299004052705194, |
| "loss": 0.4744, |
| "step": 328 |
| }, |
| { |
| "epoch": 0.92, |
| "learning_rate": 0.00029899284342715054, |
| "loss": 0.6101, |
| "step": 329 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.00029898157163447763, |
| "loss": 0.5381, |
| "step": 330 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.0002989702373319047, |
| "loss": 0.5269, |
| "step": 331 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.00029895884052418735, |
| "loss": 0.4993, |
| "step": 332 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.00029894738121610755, |
| "loss": 0.5623, |
| "step": 333 |
| }, |
| { |
| "epoch": 0.94, |
| "learning_rate": 0.0002989358594124733, |
| "loss": 0.5988, |
| "step": 334 |
| }, |
| { |
| "epoch": 0.94, |
| "learning_rate": 0.0002989242751181191, |
| "loss": 0.5623, |
| "step": 335 |
| }, |
| { |
| "epoch": 0.94, |
| "learning_rate": 0.0002989126283379054, |
| "loss": 0.4471, |
| "step": 336 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 0.000298900919076719, |
| "loss": 0.489, |
| "step": 337 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 0.00029888914733947275, |
| "loss": 0.5404, |
| "step": 338 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 0.00029887731313110613, |
| "loss": 0.5639, |
| "step": 339 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 0.0002988654164565843, |
| "loss": 0.6034, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.96, |
| "learning_rate": 0.00029885345732089905, |
| "loss": 0.5529, |
| "step": 341 |
| }, |
| { |
| "epoch": 0.96, |
| "learning_rate": 0.0002988414357290681, |
| "loss": 0.6584, |
| "step": 342 |
| }, |
| { |
| "epoch": 0.96, |
| "learning_rate": 0.0002988293516861356, |
| "loss": 0.5119, |
| "step": 343 |
| }, |
| { |
| "epoch": 0.97, |
| "learning_rate": 0.0002988172051971717, |
| "loss": 0.4797, |
| "step": 344 |
| }, |
| { |
| "epoch": 0.97, |
| "learning_rate": 0.0002988049962672728, |
| "loss": 0.619, |
| "step": 345 |
| }, |
| { |
| "epoch": 0.97, |
| "learning_rate": 0.0002987927249015616, |
| "loss": 0.621, |
| "step": 346 |
| }, |
| { |
| "epoch": 0.97, |
| "learning_rate": 0.00029878039110518704, |
| "loss": 0.6019, |
| "step": 347 |
| }, |
| { |
| "epoch": 0.98, |
| "learning_rate": 0.000298767994883324, |
| "loss": 0.5099, |
| "step": 348 |
| }, |
| { |
| "epoch": 0.98, |
| "learning_rate": 0.00029875553624117375, |
| "loss": 0.3973, |
| "step": 349 |
| }, |
| { |
| "epoch": 0.98, |
| "learning_rate": 0.00029874301518396376, |
| "loss": 0.6068, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.98, |
| "eval_loss": 0.517635703086853, |
| "eval_runtime": 26.3545, |
| "eval_samples_per_second": 7.589, |
| "eval_steps_per_second": 1.897, |
| "step": 350 |
| }, |
| { |
| "dharma_eval_accuracy": 0.36985182212251455, |
| "dharma_eval_accuracy_ARC-Challenge": 0.37037037037037035, |
| "dharma_eval_accuracy_ARC-Easy": 0.4444444444444444, |
| "dharma_eval_accuracy_BoolQ": 0.6851851851851852, |
| "dharma_eval_accuracy_MMLU": 0.2962962962962963, |
| "dharma_eval_accuracy_agieval": 0.23728813559322035, |
| "dharma_eval_accuracy_bigbench": 0.29508196721311475, |
| "dharma_eval_accuracy_openbookqa": 0.09259259259259259, |
| "dharma_eval_accuracy_truthful_qa": 0.35185185185185186, |
| "dharma_eval_accuracy_winogrande": 0.5555555555555556, |
| "dharma_loss": 2.8203083801269533, |
| "epoch": 0.98, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 0.00029873043171694755, |
| "loss": 0.5346, |
| "step": 351 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 0.0002987177858454049, |
| "loss": 0.3792, |
| "step": 352 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 0.00029870507757464193, |
| "loss": 0.5227, |
| "step": 353 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 0.0002986923069099906, |
| "loss": 0.4218, |
| "step": 354 |
| }, |
| { |
| "epoch": 1.0, |
| "learning_rate": 0.00029867947385680936, |
| "loss": 0.4866, |
| "step": 355 |
| }, |
| { |
| "epoch": 1.0, |
| "learning_rate": 0.00029866657842048274, |
| "loss": 0.4593, |
| "step": 356 |
| }, |
| { |
| "epoch": 1.0, |
| "learning_rate": 0.00029865362060642136, |
| "loss": 0.6367, |
| "step": 357 |
| }, |
| { |
| "epoch": 1.0, |
| "learning_rate": 0.0002986406004200621, |
| "loss": 0.5064, |
| "step": 358 |
| }, |
| { |
| "epoch": 1.01, |
| "learning_rate": 0.00029862751786686797, |
| "loss": 0.4206, |
| "step": 359 |
| }, |
| { |
| "epoch": 1.01, |
| "learning_rate": 0.0002986143729523282, |
| "loss": 0.6043, |
| "step": 360 |
| }, |
| { |
| "epoch": 1.01, |
| "learning_rate": 0.0002986011656819582, |
| "loss": 0.6889, |
| "step": 361 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 0.0002985878960612993, |
| "loss": 0.6266, |
| "step": 362 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 0.0002985745640959194, |
| "loss": 0.6016, |
| "step": 363 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 0.00029856116979141224, |
| "loss": 0.387, |
| "step": 364 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 0.00029854771315339785, |
| "loss": 0.4954, |
| "step": 365 |
| }, |
| { |
| "epoch": 1.03, |
| "learning_rate": 0.0002985341941875224, |
| "loss": 0.5165, |
| "step": 366 |
| }, |
| { |
| "epoch": 1.03, |
| "learning_rate": 0.0002985206128994581, |
| "loss": 0.459, |
| "step": 367 |
| }, |
| { |
| "epoch": 1.03, |
| "learning_rate": 0.0002985069692949036, |
| "loss": 0.5966, |
| "step": 368 |
| }, |
| { |
| "epoch": 1.04, |
| "learning_rate": 0.0002984932633795833, |
| "loss": 0.4271, |
| "step": 369 |
| }, |
| { |
| "epoch": 1.04, |
| "learning_rate": 0.00029847949515924806, |
| "loss": 0.4243, |
| "step": 370 |
| }, |
| { |
| "epoch": 1.04, |
| "learning_rate": 0.00029846566463967477, |
| "loss": 0.4879, |
| "step": 371 |
| }, |
| { |
| "epoch": 1.04, |
| "learning_rate": 0.0002984517718266664, |
| "loss": 0.4225, |
| "step": 372 |
| }, |
| { |
| "epoch": 1.05, |
| "learning_rate": 0.00029843781672605216, |
| "loss": 0.385, |
| "step": 373 |
| }, |
| { |
| "epoch": 1.05, |
| "learning_rate": 0.00029842379934368735, |
| "loss": 0.5161, |
| "step": 374 |
| }, |
| { |
| "epoch": 1.05, |
| "learning_rate": 0.0002984097196854534, |
| "loss": 0.5034, |
| "step": 375 |
| }, |
| { |
| "epoch": 1.05, |
| "eval_loss": 0.5201339721679688, |
| "eval_runtime": 26.3832, |
| "eval_samples_per_second": 7.581, |
| "eval_steps_per_second": 1.895, |
| "step": 375 |
| }, |
| { |
| "dharma_eval_accuracy": 0.40587691825690037, |
| "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, |
| "dharma_eval_accuracy_ARC-Easy": 0.2962962962962963, |
| "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": 0.24074074074074073, |
| "dharma_eval_accuracy_truthful_qa": 0.7037037037037037, |
| "dharma_eval_accuracy_winogrande": 0.5185185185185185, |
| "dharma_loss": 2.7163280713558198, |
| "epoch": 1.05, |
| "step": 375 |
| }, |
| { |
| "epoch": 1.06, |
| "learning_rate": 0.0002983955777572578, |
| "loss": 0.6131, |
| "step": 376 |
| }, |
| { |
| "epoch": 1.06, |
| "learning_rate": 0.0002983813735650344, |
| "loss": 0.546, |
| "step": 377 |
| }, |
| { |
| "epoch": 1.06, |
| "learning_rate": 0.00029836710711474287, |
| "loss": 0.3439, |
| "step": 378 |
| }, |
| { |
| "epoch": 1.06, |
| "learning_rate": 0.0002983527784123692, |
| "loss": 0.6843, |
| "step": 379 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 0.0002983383874639254, |
| "loss": 0.4989, |
| "step": 380 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 0.0002983239342754498, |
| "loss": 0.4311, |
| "step": 381 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 0.0002983094188530065, |
| "loss": 0.6035, |
| "step": 382 |
| }, |
| { |
| "epoch": 1.08, |
| "learning_rate": 0.000298294841202686, |
| "loss": 0.3606, |
| "step": 383 |
| }, |
| { |
| "epoch": 1.08, |
| "learning_rate": 0.0002982802013306048, |
| "loss": 0.3556, |
| "step": 384 |
| }, |
| { |
| "epoch": 1.08, |
| "learning_rate": 0.00029826549924290557, |
| "loss": 0.4458, |
| "step": 385 |
| }, |
| { |
| "epoch": 1.08, |
| "learning_rate": 0.0002982507349457569, |
| "loss": 0.4737, |
| "step": 386 |
| }, |
| { |
| "epoch": 1.09, |
| "learning_rate": 0.00029823590844535366, |
| "loss": 0.5703, |
| "step": 387 |
| }, |
| { |
| "epoch": 1.09, |
| "learning_rate": 0.0002982210197479169, |
| "loss": 0.3601, |
| "step": 388 |
| }, |
| { |
| "epoch": 1.09, |
| "learning_rate": 0.00029820606885969347, |
| "loss": 0.337, |
| "step": 389 |
| }, |
| { |
| "epoch": 1.09, |
| "learning_rate": 0.00029819105578695655, |
| "loss": 0.4757, |
| "step": 390 |
| }, |
| { |
| "epoch": 1.1, |
| "learning_rate": 0.0002981759805360054, |
| "loss": 0.5072, |
| "step": 391 |
| }, |
| { |
| "epoch": 1.1, |
| "learning_rate": 0.0002981608431131653, |
| "loss": 0.4409, |
| "step": 392 |
| }, |
| { |
| "epoch": 1.1, |
| "learning_rate": 0.00029814564352478753, |
| "loss": 0.5252, |
| "step": 393 |
| }, |
| { |
| "epoch": 1.11, |
| "learning_rate": 0.00029813038177724965, |
| "loss": 0.5016, |
| "step": 394 |
| }, |
| { |
| "epoch": 1.11, |
| "learning_rate": 0.00029811505787695524, |
| "loss": 0.3186, |
| "step": 395 |
| }, |
| { |
| "epoch": 1.11, |
| "learning_rate": 0.0002980996718303338, |
| "loss": 0.5822, |
| "step": 396 |
| }, |
| { |
| "epoch": 1.11, |
| "learning_rate": 0.00029808422364384113, |
| "loss": 0.54, |
| "step": 397 |
| }, |
| { |
| "epoch": 1.12, |
| "learning_rate": 0.00029806871332395895, |
| "loss": 0.4582, |
| "step": 398 |
| }, |
| { |
| "epoch": 1.12, |
| "learning_rate": 0.0002980531408771951, |
| "loss": 0.5073, |
| "step": 399 |
| }, |
| { |
| "epoch": 1.12, |
| "learning_rate": 0.00029803750631008356, |
| "loss": 0.5227, |
| "step": 400 |
| }, |
| { |
| "epoch": 1.12, |
| "eval_loss": 0.5233827829360962, |
| "eval_runtime": 26.3434, |
| "eval_samples_per_second": 7.592, |
| "eval_steps_per_second": 1.898, |
| "step": 400 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3770703338947604, |
| "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073, |
| "dharma_eval_accuracy_ARC-Easy": 0.3148148148148148, |
| "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": 0.09259259259259259, |
| "dharma_eval_accuracy_truthful_qa": 0.5555555555555556, |
| "dharma_eval_accuracy_winogrande": 0.5370370370370371, |
| "dharma_loss": 2.5418553066253664, |
| "epoch": 1.12, |
| "step": 400 |
| }, |
| { |
| "epoch": 1.13, |
| "learning_rate": 0.00029802180962918426, |
| "loss": 0.3211, |
| "step": 401 |
| }, |
| { |
| "epoch": 1.13, |
| "learning_rate": 0.00029800605084108315, |
| "loss": 0.5834, |
| "step": 402 |
| }, |
| { |
| "epoch": 1.13, |
| "learning_rate": 0.0002979902299523925, |
| "loss": 0.6354, |
| "step": 403 |
| }, |
| { |
| "epoch": 1.13, |
| "learning_rate": 0.00029797434696975035, |
| "loss": 0.4923, |
| "step": 404 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 0.0002979584018998209, |
| "loss": 0.4609, |
| "step": 405 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 0.0002979423947492944, |
| "loss": 0.4805, |
| "step": 406 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 0.0002979263255248872, |
| "loss": 0.4223, |
| "step": 407 |
| }, |
| { |
| "epoch": 1.15, |
| "learning_rate": 0.0002979101942333416, |
| "loss": 0.4872, |
| "step": 408 |
| }, |
| { |
| "epoch": 1.15, |
| "learning_rate": 0.00029789400088142605, |
| "loss": 0.4437, |
| "step": 409 |
| }, |
| { |
| "epoch": 1.15, |
| "learning_rate": 0.000297877745475935, |
| "loss": 0.7126, |
| "step": 410 |
| }, |
| { |
| "epoch": 1.15, |
| "learning_rate": 0.00029786142802368877, |
| "loss": 0.3855, |
| "step": 411 |
| }, |
| { |
| "epoch": 1.16, |
| "learning_rate": 0.00029784504853153397, |
| "loss": 0.4374, |
| "step": 412 |
| }, |
| { |
| "epoch": 1.16, |
| "learning_rate": 0.0002978286070063431, |
| "loss": 0.4274, |
| "step": 413 |
| }, |
| { |
| "epoch": 1.16, |
| "learning_rate": 0.0002978121034550148, |
| "loss": 0.406, |
| "step": 414 |
| }, |
| { |
| "epoch": 1.16, |
| "learning_rate": 0.00029779553788447357, |
| "loss": 0.4755, |
| "step": 415 |
| }, |
| { |
| "epoch": 1.17, |
| "learning_rate": 0.00029777891030167, |
| "loss": 0.5286, |
| "step": 416 |
| }, |
| { |
| "epoch": 1.17, |
| "learning_rate": 0.00029776222071358074, |
| "loss": 0.6529, |
| "step": 417 |
| }, |
| { |
| "epoch": 1.17, |
| "learning_rate": 0.0002977454691272084, |
| "loss": 0.4096, |
| "step": 418 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 0.0002977286555495818, |
| "loss": 0.4292, |
| "step": 419 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 0.00029771177998775536, |
| "loss": 0.4458, |
| "step": 420 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 0.0002976948424488099, |
| "loss": 0.5428, |
| "step": 421 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 0.0002976778429398521, |
| "loss": 0.5953, |
| "step": 422 |
| }, |
| { |
| "epoch": 1.19, |
| "learning_rate": 0.00029766078146801453, |
| "loss": 0.3686, |
| "step": 423 |
| }, |
| { |
| "epoch": 1.19, |
| "learning_rate": 0.000297643658040456, |
| "loss": 0.6322, |
| "step": 424 |
| }, |
| { |
| "epoch": 1.19, |
| "learning_rate": 0.0002976264726643611, |
| "loss": 0.35, |
| "step": 425 |
| }, |
| { |
| "epoch": 1.19, |
| "eval_loss": 0.5209073424339294, |
| "eval_runtime": 26.4295, |
| "eval_samples_per_second": 7.567, |
| "eval_steps_per_second": 1.892, |
| "step": 425 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3832431734009332, |
| "dharma_eval_accuracy_ARC-Challenge": 0.25925925925925924, |
| "dharma_eval_accuracy_ARC-Easy": 0.35185185185185186, |
| "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": 0.1111111111111111, |
| "dharma_eval_accuracy_truthful_qa": 0.5370370370370371, |
| "dharma_eval_accuracy_winogrande": 0.5185185185185185, |
| "dharma_loss": 2.4492057392597197, |
| "epoch": 1.19, |
| "step": 425 |
| }, |
| { |
| "epoch": 1.2, |
| "learning_rate": 0.00029760922534694055, |
| "loss": 0.5357, |
| "step": 426 |
| }, |
| { |
| "epoch": 1.2, |
| "learning_rate": 0.00029759191609543095, |
| "loss": 0.5112, |
| "step": 427 |
| }, |
| { |
| "epoch": 1.2, |
| "learning_rate": 0.0002975745449170949, |
| "loss": 0.3245, |
| "step": 428 |
| }, |
| { |
| "epoch": 1.2, |
| "learning_rate": 0.0002975571118192212, |
| "loss": 0.6413, |
| "step": 429 |
| }, |
| { |
| "epoch": 1.21, |
| "learning_rate": 0.00029753961680912427, |
| "loss": 0.8456, |
| "step": 430 |
| }, |
| { |
| "epoch": 1.21, |
| "learning_rate": 0.00029752205989414475, |
| "loss": 0.5009, |
| "step": 431 |
| }, |
| { |
| "epoch": 1.21, |
| "learning_rate": 0.0002975044410816492, |
| "loss": 0.6083, |
| "step": 432 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 0.0002974867603790302, |
| "loss": 0.5866, |
| "step": 433 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 0.0002974690177937062, |
| "loss": 0.5901, |
| "step": 434 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 0.00029745121333312163, |
| "loss": 0.4596, |
| "step": 435 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 0.00029743334700474693, |
| "loss": 0.4795, |
| "step": 436 |
| }, |
| { |
| "epoch": 1.23, |
| "learning_rate": 0.00029741541881607854, |
| "loss": 0.5234, |
| "step": 437 |
| }, |
| { |
| "epoch": 1.23, |
| "learning_rate": 0.00029739742877463865, |
| "loss": 0.4583, |
| "step": 438 |
| }, |
| { |
| "epoch": 1.23, |
| "learning_rate": 0.0002973793768879757, |
| "loss": 0.4084, |
| "step": 439 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.0002973612631636638, |
| "loss": 0.5177, |
| "step": 440 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.0002973430876093033, |
| "loss": 0.5485, |
| "step": 441 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.00029732485023252015, |
| "loss": 0.7071, |
| "step": 442 |
| }, |
| { |
| "epoch": 1.24, |
| "learning_rate": 0.0002973065510409665, |
| "loss": 0.4424, |
| "step": 443 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 0.00029728819004232036, |
| "loss": 0.5394, |
| "step": 444 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 0.0002972697672442856, |
| "loss": 0.4934, |
| "step": 445 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 0.0002972512826545922, |
| "loss": 0.5253, |
| "step": 446 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 0.0002972327362809958, |
| "loss": 0.414, |
| "step": 447 |
| }, |
| { |
| "epoch": 1.26, |
| "learning_rate": 0.0002972141281312782, |
| "loss": 0.3736, |
| "step": 448 |
| }, |
| { |
| "epoch": 1.26, |
| "learning_rate": 0.000297195458213247, |
| "loss": 0.471, |
| "step": 449 |
| }, |
| { |
| "epoch": 1.26, |
| "learning_rate": 0.0002971767265347358, |
| "loss": 0.5088, |
| "step": 450 |
| }, |
| { |
| "epoch": 1.26, |
| "eval_loss": 0.5178927779197693, |
| "eval_runtime": 26.409, |
| "eval_samples_per_second": 7.573, |
| "eval_steps_per_second": 1.893, |
| "step": 450 |
| }, |
| { |
| "dharma_eval_accuracy": 0.38306879940358374, |
| "dharma_eval_accuracy_ARC-Challenge": 0.25925925925925924, |
| "dharma_eval_accuracy_ARC-Easy": 0.35185185185185186, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.2777777777777778, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.5081967213114754, |
| "dharma_eval_accuracy_openbookqa": 0.18518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.46296296296296297, |
| "dharma_eval_accuracy_winogrande": 0.4444444444444444, |
| "dharma_loss": 2.727772394180298, |
| "epoch": 1.26, |
| "step": 450 |
| }, |
| { |
| "epoch": 1.27, |
| "learning_rate": 0.0002971579331036041, |
| "loss": 0.5458, |
| "step": 451 |
| }, |
| { |
| "epoch": 1.27, |
| "learning_rate": 0.00029713907792773716, |
| "loss": 0.6182, |
| "step": 452 |
| }, |
| { |
| "epoch": 1.27, |
| "learning_rate": 0.0002971201610150463, |
| "loss": 0.2314, |
| "step": 453 |
| }, |
| { |
| "epoch": 1.27, |
| "learning_rate": 0.0002971011823734688, |
| "loss": 0.479, |
| "step": 454 |
| }, |
| { |
| "epoch": 1.28, |
| "learning_rate": 0.00029708214201096755, |
| "loss": 0.3984, |
| "step": 455 |
| }, |
| { |
| "epoch": 1.28, |
| "learning_rate": 0.0002970630399355317, |
| "loss": 0.542, |
| "step": 456 |
| }, |
| { |
| "epoch": 1.28, |
| "learning_rate": 0.00029704387615517606, |
| "loss": 0.3715, |
| "step": 457 |
| }, |
| { |
| "epoch": 1.29, |
| "learning_rate": 0.00029702465067794144, |
| "loss": 0.4325, |
| "step": 458 |
| }, |
| { |
| "epoch": 1.29, |
| "learning_rate": 0.00029700536351189445, |
| "loss": 0.5227, |
| "step": 459 |
| }, |
| { |
| "epoch": 1.29, |
| "learning_rate": 0.0002969860146651276, |
| "loss": 0.6047, |
| "step": 460 |
| }, |
| { |
| "epoch": 1.29, |
| "learning_rate": 0.0002969666041457594, |
| "loss": 0.598, |
| "step": 461 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 0.00029694713196193404, |
| "loss": 0.5142, |
| "step": 462 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 0.0002969275981218218, |
| "loss": 0.3851, |
| "step": 463 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 0.0002969080026336186, |
| "loss": 0.5747, |
| "step": 464 |
| }, |
| { |
| "epoch": 1.31, |
| "learning_rate": 0.00029688834550554646, |
| "loss": 0.4373, |
| "step": 465 |
| }, |
| { |
| "epoch": 1.31, |
| "learning_rate": 0.00029686862674585307, |
| "loss": 0.3868, |
| "step": 466 |
| }, |
| { |
| "epoch": 1.31, |
| "learning_rate": 0.00029684884636281203, |
| "loss": 0.6756, |
| "step": 467 |
| }, |
| { |
| "epoch": 1.31, |
| "learning_rate": 0.00029682900436472286, |
| "loss": 0.5035, |
| "step": 468 |
| }, |
| { |
| "epoch": 1.32, |
| "learning_rate": 0.00029680910075991087, |
| "loss": 0.4708, |
| "step": 469 |
| }, |
| { |
| "epoch": 1.32, |
| "learning_rate": 0.0002967891355567273, |
| "loss": 0.5669, |
| "step": 470 |
| }, |
| { |
| "epoch": 1.32, |
| "learning_rate": 0.0002967691087635491, |
| "loss": 0.4667, |
| "step": 471 |
| }, |
| { |
| "epoch": 1.32, |
| "learning_rate": 0.0002967490203887793, |
| "loss": 0.5232, |
| "step": 472 |
| }, |
| { |
| "epoch": 1.33, |
| "learning_rate": 0.00029672887044084636, |
| "loss": 0.408, |
| "step": 473 |
| }, |
| { |
| "epoch": 1.33, |
| "learning_rate": 0.000296708658928205, |
| "loss": 0.3419, |
| "step": 474 |
| }, |
| { |
| "epoch": 1.33, |
| "learning_rate": 0.00029668838585933556, |
| "loss": 0.4646, |
| "step": 475 |
| }, |
| { |
| "epoch": 1.33, |
| "eval_loss": 0.5185211300849915, |
| "eval_runtime": 26.3942, |
| "eval_samples_per_second": 7.577, |
| "eval_steps_per_second": 1.894, |
| "step": 475 |
| }, |
| { |
| "dharma_eval_accuracy": 0.39335686524720515, |
| "dharma_eval_accuracy_ARC-Challenge": 0.2962962962962963, |
| "dharma_eval_accuracy_ARC-Easy": 0.3333333333333333, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.25925925925925924, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.5081967213114754, |
| "dharma_eval_accuracy_openbookqa": 0.16666666666666666, |
| "dharma_eval_accuracy_truthful_qa": 0.5185185185185185, |
| "dharma_eval_accuracy_winogrande": 0.5, |
| "dharma_loss": 2.565536605358124, |
| "epoch": 1.33, |
| "step": 475 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 0.00029666805124274425, |
| "loss": 0.3971, |
| "step": 476 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 0.00029664765508696306, |
| "loss": 0.4487, |
| "step": 477 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 0.0002966271974005499, |
| "loss": 0.5002, |
| "step": 478 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 0.00029660667819208836, |
| "loss": 0.5285, |
| "step": 479 |
| }, |
| { |
| "epoch": 1.35, |
| "learning_rate": 0.0002965860974701879, |
| "loss": 0.5782, |
| "step": 480 |
| }, |
| { |
| "epoch": 1.35, |
| "learning_rate": 0.00029656545524348396, |
| "loss": 0.5334, |
| "step": 481 |
| }, |
| { |
| "epoch": 1.35, |
| "learning_rate": 0.0002965447515206375, |
| "loss": 0.2758, |
| "step": 482 |
| }, |
| { |
| "epoch": 1.36, |
| "learning_rate": 0.00029652398631033547, |
| "loss": 0.3964, |
| "step": 483 |
| }, |
| { |
| "epoch": 1.36, |
| "learning_rate": 0.0002965031596212905, |
| "loss": 0.5087, |
| "step": 484 |
| }, |
| { |
| "epoch": 1.36, |
| "learning_rate": 0.0002964822714622412, |
| "loss": 0.6133, |
| "step": 485 |
| }, |
| { |
| "epoch": 1.36, |
| "learning_rate": 0.0002964613218419517, |
| "loss": 0.3947, |
| "step": 486 |
| }, |
| { |
| "epoch": 1.37, |
| "learning_rate": 0.0002964403107692122, |
| "loss": 0.4799, |
| "step": 487 |
| }, |
| { |
| "epoch": 1.37, |
| "learning_rate": 0.00029641923825283854, |
| "loss": 0.5146, |
| "step": 488 |
| }, |
| { |
| "epoch": 1.37, |
| "learning_rate": 0.0002963981043016723, |
| "loss": 0.348, |
| "step": 489 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 0.000296376908924581, |
| "loss": 0.5181, |
| "step": 490 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 0.0002963556521304577, |
| "loss": 0.4437, |
| "step": 491 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 0.0002963343339282214, |
| "loss": 0.5235, |
| "step": 492 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 0.0002963129543268168, |
| "loss": 0.3413, |
| "step": 493 |
| }, |
| { |
| "epoch": 1.39, |
| "learning_rate": 0.00029629151333521446, |
| "loss": 0.4321, |
| "step": 494 |
| }, |
| { |
| "epoch": 1.39, |
| "learning_rate": 0.00029627001096241057, |
| "loss": 0.3405, |
| "step": 495 |
| }, |
| { |
| "epoch": 1.39, |
| "learning_rate": 0.0002962484472174271, |
| "loss": 0.4895, |
| "step": 496 |
| }, |
| { |
| "epoch": 1.4, |
| "learning_rate": 0.0002962268221093118, |
| "loss": 0.4285, |
| "step": 497 |
| }, |
| { |
| "epoch": 1.4, |
| "learning_rate": 0.0002962051356471383, |
| "loss": 0.4785, |
| "step": 498 |
| }, |
| { |
| "epoch": 1.4, |
| "learning_rate": 0.0002961833878400056, |
| "loss": 0.618, |
| "step": 499 |
| }, |
| { |
| "epoch": 1.4, |
| "learning_rate": 0.0002961615786970389, |
| "loss": 0.663, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.4, |
| "eval_loss": 0.5207934379577637, |
| "eval_runtime": 26.4199, |
| "eval_samples_per_second": 7.57, |
| "eval_steps_per_second": 1.893, |
| "step": 500 |
| }, |
| { |
| "dharma_eval_accuracy": 0.39952970475337796, |
| "dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148, |
| "dharma_eval_accuracy_ARC-Easy": 0.3888888888888889, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.3148148148148148, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.5081967213114754, |
| "dharma_eval_accuracy_openbookqa": 0.1111111111111111, |
| "dharma_eval_accuracy_truthful_qa": 0.5185185185185185, |
| "dharma_eval_accuracy_winogrande": 0.48148148148148145, |
| "dharma_loss": 2.4424794154167175, |
| "epoch": 1.4, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.41, |
| "learning_rate": 0.00029613970822738874, |
| "loss": 0.365, |
| "step": 501 |
| }, |
| { |
| "epoch": 1.41, |
| "learning_rate": 0.0002961177764402317, |
| "loss": 0.6666, |
| "step": 502 |
| }, |
| { |
| "epoch": 1.41, |
| "learning_rate": 0.00029609578334476987, |
| "loss": 0.4039, |
| "step": 503 |
| }, |
| { |
| "epoch": 1.41, |
| "learning_rate": 0.0002960737289502311, |
| "loss": 0.3414, |
| "step": 504 |
| }, |
| { |
| "epoch": 1.42, |
| "learning_rate": 0.00029605161326586916, |
| "loss": 0.7406, |
| "step": 505 |
| }, |
| { |
| "epoch": 1.42, |
| "learning_rate": 0.00029602943630096325, |
| "loss": 0.5311, |
| "step": 506 |
| }, |
| { |
| "epoch": 1.42, |
| "learning_rate": 0.00029600719806481844, |
| "loss": 0.5669, |
| "step": 507 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 0.0002959848985667655, |
| "loss": 0.6251, |
| "step": 508 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 0.00029596253781616084, |
| "loss": 0.5971, |
| "step": 509 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 0.0002959401158223867, |
| "loss": 0.6097, |
| "step": 510 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 0.00029591763259485083, |
| "loss": 0.7195, |
| "step": 511 |
| }, |
| { |
| "epoch": 1.44, |
| "learning_rate": 0.0002958950881429869, |
| "loss": 0.344, |
| "step": 512 |
| }, |
| { |
| "epoch": 1.44, |
| "learning_rate": 0.000295872482476254, |
| "loss": 0.5158, |
| "step": 513 |
| }, |
| { |
| "epoch": 1.44, |
| "learning_rate": 0.00029584981560413717, |
| "loss": 0.4253, |
| "step": 514 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 0.0002958270875361469, |
| "loss": 0.5837, |
| "step": 515 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 0.0002958042982818196, |
| "loss": 0.4485, |
| "step": 516 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 0.0002957814478507171, |
| "loss": 0.2953, |
| "step": 517 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 0.00029575853625242704, |
| "loss": 0.446, |
| "step": 518 |
| }, |
| { |
| "epoch": 1.46, |
| "learning_rate": 0.00029573556349656277, |
| "loss": 0.4378, |
| "step": 519 |
| }, |
| { |
| "epoch": 1.46, |
| "learning_rate": 0.0002957125295927631, |
| "loss": 0.4399, |
| "step": 520 |
| }, |
| { |
| "epoch": 1.46, |
| "learning_rate": 0.00029568943455069276, |
| "loss": 0.4011, |
| "step": 521 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 0.00029566627838004193, |
| "loss": 0.5164, |
| "step": 522 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 0.0002956430610905265, |
| "loss": 0.454, |
| "step": 523 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 0.00029561978269188814, |
| "loss": 0.6102, |
| "step": 524 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 0.0002955964431938939, |
| "loss": 0.4802, |
| "step": 525 |
| }, |
| { |
| "epoch": 1.47, |
| "eval_loss": 0.5176565051078796, |
| "eval_runtime": 26.4201, |
| "eval_samples_per_second": 7.57, |
| "eval_steps_per_second": 1.892, |
| "step": 525 |
| }, |
| { |
| "dharma_eval_accuracy": 0.41669896873502815, |
| "dharma_eval_accuracy_ARC-Challenge": 0.35185185185185186, |
| "dharma_eval_accuracy_ARC-Easy": 0.48148148148148145, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.45901639344262296, |
| "dharma_eval_accuracy_openbookqa": 0.12962962962962962, |
| "dharma_eval_accuracy_truthful_qa": 0.5185185185185185, |
| "dharma_eval_accuracy_winogrande": 0.48148148148148145, |
| "dharma_loss": 2.5137911858558657, |
| "epoch": 1.47, |
| "step": 525 |
| }, |
| { |
| "epoch": 1.48, |
| "learning_rate": 0.0002955730426063365, |
| "loss": 0.364, |
| "step": 526 |
| }, |
| { |
| "epoch": 1.48, |
| "learning_rate": 0.00029554958093903466, |
| "loss": 0.3682, |
| "step": 527 |
| }, |
| { |
| "epoch": 1.48, |
| "learning_rate": 0.00029552605820183235, |
| "loss": 0.3183, |
| "step": 528 |
| }, |
| { |
| "epoch": 1.48, |
| "learning_rate": 0.00029550247440459916, |
| "loss": 0.5107, |
| "step": 529 |
| }, |
| { |
| "epoch": 1.49, |
| "learning_rate": 0.0002954788295572305, |
| "loss": 0.3863, |
| "step": 530 |
| }, |
| { |
| "epoch": 1.49, |
| "learning_rate": 0.00029545512366964735, |
| "loss": 0.5892, |
| "step": 531 |
| }, |
| { |
| "epoch": 1.49, |
| "learning_rate": 0.00029543135675179626, |
| "loss": 0.5724, |
| "step": 532 |
| }, |
| { |
| "epoch": 1.5, |
| "learning_rate": 0.00029540752881364925, |
| "loss": 0.5255, |
| "step": 533 |
| }, |
| { |
| "epoch": 1.5, |
| "learning_rate": 0.00029538363986520425, |
| "loss": 0.6092, |
| "step": 534 |
| }, |
| { |
| "epoch": 1.5, |
| "learning_rate": 0.00029535968991648454, |
| "loss": 0.4652, |
| "step": 535 |
| }, |
| { |
| "epoch": 1.5, |
| "learning_rate": 0.00029533567897753905, |
| "loss": 0.4963, |
| "step": 536 |
| }, |
| { |
| "epoch": 1.51, |
| "learning_rate": 0.0002953116070584424, |
| "loss": 0.4462, |
| "step": 537 |
| }, |
| { |
| "epoch": 1.51, |
| "learning_rate": 0.00029528747416929463, |
| "loss": 0.599, |
| "step": 538 |
| }, |
| { |
| "epoch": 1.51, |
| "learning_rate": 0.00029526328032022155, |
| "loss": 0.6611, |
| "step": 539 |
| }, |
| { |
| "epoch": 1.52, |
| "learning_rate": 0.00029523902552137433, |
| "loss": 0.5107, |
| "step": 540 |
| }, |
| { |
| "epoch": 1.52, |
| "learning_rate": 0.00029521470978292994, |
| "loss": 0.4466, |
| "step": 541 |
| }, |
| { |
| "epoch": 1.52, |
| "learning_rate": 0.00029519033311509077, |
| "loss": 0.3413, |
| "step": 542 |
| }, |
| { |
| "epoch": 1.52, |
| "learning_rate": 0.0002951658955280848, |
| "loss": 0.3824, |
| "step": 543 |
| }, |
| { |
| "epoch": 1.53, |
| "learning_rate": 0.0002951413970321657, |
| "loss": 0.4518, |
| "step": 544 |
| }, |
| { |
| "epoch": 1.53, |
| "learning_rate": 0.0002951168376376124, |
| "loss": 0.4747, |
| "step": 545 |
| }, |
| { |
| "epoch": 1.53, |
| "learning_rate": 0.0002950922173547296, |
| "loss": 0.526, |
| "step": 546 |
| }, |
| { |
| "epoch": 1.54, |
| "learning_rate": 0.00029506753619384766, |
| "loss": 0.571, |
| "step": 547 |
| }, |
| { |
| "epoch": 1.54, |
| "learning_rate": 0.00029504279416532223, |
| "loss": 0.5026, |
| "step": 548 |
| }, |
| { |
| "epoch": 1.54, |
| "learning_rate": 0.00029501799127953465, |
| "loss": 0.5395, |
| "step": 549 |
| }, |
| { |
| "epoch": 1.54, |
| "learning_rate": 0.0002949931275468917, |
| "loss": 0.2888, |
| "step": 550 |
| }, |
| { |
| "epoch": 1.54, |
| "eval_loss": 0.521288275718689, |
| "eval_runtime": 26.3822, |
| "eval_samples_per_second": 7.581, |
| "eval_steps_per_second": 1.895, |
| "step": 550 |
| }, |
| { |
| "dharma_eval_accuracy": 0.40364493109082655, |
| "dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148, |
| "dharma_eval_accuracy_ARC-Easy": 0.46296296296296297, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.5081967213114754, |
| "dharma_eval_accuracy_openbookqa": 0.1111111111111111, |
| "dharma_eval_accuracy_truthful_qa": 0.4444444444444444, |
| "dharma_eval_accuracy_winogrande": 0.46296296296296297, |
| "dharma_loss": 2.6077233877182007, |
| "epoch": 1.54, |
| "step": 550 |
| }, |
| { |
| "epoch": 1.55, |
| "learning_rate": 0.00029496820297782574, |
| "loss": 0.5497, |
| "step": 551 |
| }, |
| { |
| "epoch": 1.55, |
| "learning_rate": 0.00029494321758279465, |
| "loss": 0.4195, |
| "step": 552 |
| }, |
| { |
| "epoch": 1.55, |
| "learning_rate": 0.0002949181713722819, |
| "loss": 0.5639, |
| "step": 553 |
| }, |
| { |
| "epoch": 1.56, |
| "learning_rate": 0.0002948930643567964, |
| "loss": 0.5605, |
| "step": 554 |
| }, |
| { |
| "epoch": 1.56, |
| "learning_rate": 0.00029486789654687253, |
| "loss": 0.5815, |
| "step": 555 |
| }, |
| { |
| "epoch": 1.56, |
| "learning_rate": 0.00029484266795307037, |
| "loss": 0.4015, |
| "step": 556 |
| }, |
| { |
| "epoch": 1.56, |
| "learning_rate": 0.0002948173785859752, |
| "loss": 0.4135, |
| "step": 557 |
| }, |
| { |
| "epoch": 1.57, |
| "learning_rate": 0.000294792028456198, |
| "loss": 0.4335, |
| "step": 558 |
| }, |
| { |
| "epoch": 1.57, |
| "learning_rate": 0.0002947666175743753, |
| "loss": 0.512, |
| "step": 559 |
| }, |
| { |
| "epoch": 1.57, |
| "learning_rate": 0.00029474114595116896, |
| "loss": 0.4886, |
| "step": 560 |
| }, |
| { |
| "epoch": 1.57, |
| "learning_rate": 0.00029471561359726645, |
| "loss": 0.4351, |
| "step": 561 |
| }, |
| { |
| "epoch": 1.58, |
| "learning_rate": 0.0002946900205233807, |
| "loss": 0.4052, |
| "step": 562 |
| }, |
| { |
| "epoch": 1.58, |
| "learning_rate": 0.00029466436674024997, |
| "loss": 0.4267, |
| "step": 563 |
| }, |
| { |
| "epoch": 1.58, |
| "learning_rate": 0.0002946386522586382, |
| "loss": 0.5737, |
| "step": 564 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 0.00029461287708933473, |
| "loss": 0.2997, |
| "step": 565 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 0.00029458704124315425, |
| "loss": 0.523, |
| "step": 566 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 0.0002945611447309371, |
| "loss": 0.4795, |
| "step": 567 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 0.00029453518756354885, |
| "loss": 0.5125, |
| "step": 568 |
| }, |
| { |
| "epoch": 1.6, |
| "learning_rate": 0.0002945091697518808, |
| "loss": 0.4387, |
| "step": 569 |
| }, |
| { |
| "epoch": 1.6, |
| "learning_rate": 0.0002944830913068494, |
| "loss": 0.6114, |
| "step": 570 |
| }, |
| { |
| "epoch": 1.6, |
| "learning_rate": 0.0002944569522393968, |
| "loss": 0.3893, |
| "step": 571 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 0.00029443075256049036, |
| "loss": 0.6212, |
| "step": 572 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 0.0002944044922811231, |
| "loss": 0.333, |
| "step": 573 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 0.0002943781714123132, |
| "loss": 0.4745, |
| "step": 574 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 0.00029435178996510455, |
| "loss": 0.5085, |
| "step": 575 |
| }, |
| { |
| "epoch": 1.61, |
| "eval_loss": 0.5148590207099915, |
| "eval_runtime": 26.387, |
| "eval_samples_per_second": 7.58, |
| "eval_steps_per_second": 1.895, |
| "step": 575 |
| }, |
| { |
| "dharma_eval_accuracy": 0.42216344960934504, |
| "dharma_eval_accuracy_ARC-Challenge": 0.3148148148148148, |
| "dharma_eval_accuracy_ARC-Easy": 0.37037037037037035, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.35185185185185186, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.5081967213114754, |
| "dharma_eval_accuracy_openbookqa": 0.18518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.5925925925925926, |
| "dharma_eval_accuracy_winogrande": 0.5185185185185185, |
| "dharma_loss": 2.7804353098869323, |
| "epoch": 1.61, |
| "step": 575 |
| }, |
| { |
| "epoch": 1.62, |
| "learning_rate": 0.0002943253479505662, |
| "loss": 0.4255, |
| "step": 576 |
| }, |
| { |
| "epoch": 1.62, |
| "learning_rate": 0.0002942988453797928, |
| "loss": 0.4885, |
| "step": 577 |
| }, |
| { |
| "epoch": 1.62, |
| "learning_rate": 0.00029427228226390424, |
| "loss": 0.5474, |
| "step": 578 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 0.00029424565861404606, |
| "loss": 0.5646, |
| "step": 579 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 0.00029421897444138897, |
| "loss": 0.3399, |
| "step": 580 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 0.00029419222975712915, |
| "loss": 0.4264, |
| "step": 581 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 0.00029416542457248816, |
| "loss": 0.5138, |
| "step": 582 |
| }, |
| { |
| "epoch": 1.64, |
| "learning_rate": 0.000294138558898713, |
| "loss": 0.5768, |
| "step": 583 |
| }, |
| { |
| "epoch": 1.64, |
| "learning_rate": 0.000294111632747076, |
| "loss": 0.475, |
| "step": 584 |
| }, |
| { |
| "epoch": 1.64, |
| "learning_rate": 0.0002940846461288748, |
| "loss": 0.4983, |
| "step": 585 |
| }, |
| { |
| "epoch": 1.64, |
| "learning_rate": 0.00029405759905543256, |
| "loss": 0.4168, |
| "step": 586 |
| }, |
| { |
| "epoch": 1.65, |
| "learning_rate": 0.00029403049153809774, |
| "loss": 0.6149, |
| "step": 587 |
| }, |
| { |
| "epoch": 1.65, |
| "learning_rate": 0.0002940033235882441, |
| "loss": 0.4848, |
| "step": 588 |
| }, |
| { |
| "epoch": 1.65, |
| "learning_rate": 0.0002939760952172708, |
| "loss": 0.5926, |
| "step": 589 |
| }, |
| { |
| "epoch": 1.66, |
| "learning_rate": 0.0002939488064366024, |
| "loss": 0.4797, |
| "step": 590 |
| }, |
| { |
| "epoch": 1.66, |
| "learning_rate": 0.00029392145725768874, |
| "loss": 0.5197, |
| "step": 591 |
| }, |
| { |
| "epoch": 1.66, |
| "learning_rate": 0.0002938940476920051, |
| "loss": 0.4958, |
| "step": 592 |
| }, |
| { |
| "epoch": 1.66, |
| "learning_rate": 0.0002938665777510519, |
| "loss": 0.7065, |
| "step": 593 |
| }, |
| { |
| "epoch": 1.67, |
| "learning_rate": 0.0002938390474463551, |
| "loss": 0.4155, |
| "step": 594 |
| }, |
| { |
| "epoch": 1.67, |
| "learning_rate": 0.00029381145678946584, |
| "loss": 0.522, |
| "step": 595 |
| }, |
| { |
| "epoch": 1.67, |
| "learning_rate": 0.00029378380579196076, |
| "loss": 0.4253, |
| "step": 596 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 0.00029375609446544165, |
| "loss": 0.6296, |
| "step": 597 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 0.0002937283228215356, |
| "loss": 0.515, |
| "step": 598 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 0.00029370049087189514, |
| "loss": 0.6629, |
| "step": 599 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 0.00029367259862819804, |
| "loss": 0.5582, |
| "step": 600 |
| }, |
| { |
| "epoch": 1.68, |
| "eval_loss": 0.510773241519928, |
| "eval_runtime": 26.4135, |
| "eval_samples_per_second": 7.572, |
| "eval_steps_per_second": 1.893, |
| "step": 600 |
| }, |
| { |
| "dharma_eval_accuracy": 0.4201058364406208, |
| "dharma_eval_accuracy_ARC-Challenge": 0.2962962962962963, |
| "dharma_eval_accuracy_ARC-Easy": 0.3888888888888889, |
| "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": 0.5740740740740741, |
| "dharma_eval_accuracy_winogrande": 0.5185185185185185, |
| "dharma_loss": 2.6925288438796997, |
| "epoch": 1.68, |
| "step": 600 |
| } |
| ], |
| "max_steps": 5000, |
| "num_train_epochs": 15, |
| "total_flos": 1.9307426648459674e+17, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
