| { |
| "best_metric": 0.5214321613311768, |
| "best_model_checkpoint": "./output_v2/7b_cluster00_Nous-Hermes-llama-2-7b_codellama_blob_1/checkpoint-200", |
| "epoch": 0.5614035087719298, |
| "global_step": 200, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.0, |
| "learning_rate": 9.999999999999999e-06, |
| "loss": 0.7795, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 1.9999999999999998e-05, |
| "loss": 0.6789, |
| "step": 2 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 2.9999999999999997e-05, |
| "loss": 0.6847, |
| "step": 3 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 3.9999999999999996e-05, |
| "loss": 0.6878, |
| "step": 4 |
| }, |
| { |
| "epoch": 0.01, |
| "learning_rate": 4.9999999999999996e-05, |
| "loss": 0.5962, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 5.9999999999999995e-05, |
| "loss": 0.6581, |
| "step": 6 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 7e-05, |
| "loss": 0.6256, |
| "step": 7 |
| }, |
| { |
| "epoch": 0.02, |
| "learning_rate": 7.999999999999999e-05, |
| "loss": 0.6868, |
| "step": 8 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 8.999999999999999e-05, |
| "loss": 0.5345, |
| "step": 9 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 9.999999999999999e-05, |
| "loss": 0.5959, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 0.00010999999999999998, |
| "loss": 0.7002, |
| "step": 11 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 0.00011999999999999999, |
| "loss": 0.623, |
| "step": 12 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 0.00013, |
| "loss": 0.5554, |
| "step": 13 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 0.00014, |
| "loss": 0.5401, |
| "step": 14 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 0.00015, |
| "loss": 0.5547, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 0.00015999999999999999, |
| "loss": 0.6882, |
| "step": 16 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 0.00016999999999999999, |
| "loss": 0.8901, |
| "step": 17 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 0.00017999999999999998, |
| "loss": 0.6838, |
| "step": 18 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 0.00018999999999999998, |
| "loss": 0.4786, |
| "step": 19 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 0.00019999999999999998, |
| "loss": 0.587, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 0.00020999999999999998, |
| "loss": 0.9494, |
| "step": 21 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 0.00021999999999999995, |
| "loss": 0.8728, |
| "step": 22 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 0.00023, |
| "loss": 0.6719, |
| "step": 23 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 0.00023999999999999998, |
| "loss": 0.6586, |
| "step": 24 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 0.00025, |
| "loss": 0.6593, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.07, |
| "eval_loss": 0.607403576374054, |
| "eval_runtime": 26.394, |
| "eval_samples_per_second": 7.577, |
| "eval_steps_per_second": 1.894, |
| "step": 25 |
| }, |
| { |
| "dharma_eval_accuracy": 0.45308939268681175, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5370370370370371, |
| "dharma_eval_accuracy_ARC-Easy": 0.5555555555555556, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.4074074074074074, |
| "dharma_eval_accuracy_agieval": 0.2711864406779661, |
| "dharma_eval_accuracy_bigbench": 0.4918032786885246, |
| "dharma_eval_accuracy_openbookqa": 0.3333333333333333, |
| "dharma_eval_accuracy_truthful_qa": 0.42592592592592593, |
| "dharma_eval_accuracy_winogrande": 0.35185185185185186, |
| "dharma_loss": 2.316238456726074, |
| "epoch": 0.07, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.07, |
| "learning_rate": 0.00026, |
| "loss": 0.5658, |
| "step": 26 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 0.00027, |
| "loss": 0.5688, |
| "step": 27 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 0.00028, |
| "loss": 0.4466, |
| "step": 28 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 0.00029, |
| "loss": 0.5476, |
| "step": 29 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 0.0003, |
| "loss": 0.8189, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 0.0002999992132854894, |
| "loss": 0.9189, |
| "step": 31 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 0.0002999968531502098, |
| "loss": 0.6546, |
| "step": 32 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 0.0002999929196189179, |
| "loss": 0.4689, |
| "step": 33 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 0.00029998741273287477, |
| "loss": 0.604, |
| "step": 34 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 0.0002999803325498448, |
| "loss": 0.6302, |
| "step": 35 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 0.0002999716791440959, |
| "loss": 0.6739, |
| "step": 36 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 0.00029996145260639806, |
| "loss": 0.7528, |
| "step": 37 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 0.000299949653044023, |
| "loss": 0.5713, |
| "step": 38 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 0.00029993628058074245, |
| "loss": 0.4324, |
| "step": 39 |
| }, |
| { |
| "epoch": 0.11, |
| "learning_rate": 0.00029992133535682725, |
| "loss": 0.7712, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 0.00029990481752904563, |
| "loss": 0.7824, |
| "step": 41 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 0.0002998867272706619, |
| "loss": 0.7353, |
| "step": 42 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 0.0002998670647714343, |
| "loss": 0.5625, |
| "step": 43 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 0.00029984583023761317, |
| "loss": 0.5424, |
| "step": 44 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 0.00029982302389193856, |
| "loss": 0.5455, |
| "step": 45 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 0.00029979864597363845, |
| "loss": 0.4901, |
| "step": 46 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 0.0002997726967384255, |
| "loss": 0.4773, |
| "step": 47 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 0.00029974517645849503, |
| "loss": 0.6435, |
| "step": 48 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 0.0002997160854225217, |
| "loss": 0.5929, |
| "step": 49 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 0.0002996854239356567, |
| "loss": 0.5866, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.14, |
| "eval_loss": 0.5568216443061829, |
| "eval_runtime": 26.2645, |
| "eval_samples_per_second": 7.615, |
| "eval_steps_per_second": 1.904, |
| "step": 50 |
| }, |
| { |
| "dharma_eval_accuracy": 0.4336321131727263, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5925925925925926, |
| "dharma_eval_accuracy_ARC-Easy": 0.6666666666666666, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.4444444444444444, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.4262295081967213, |
| "dharma_eval_accuracy_openbookqa": 0.2777777777777778, |
| "dharma_eval_accuracy_truthful_qa": 0.46296296296296297, |
| "dharma_eval_accuracy_winogrande": 0.07407407407407407, |
| "dharma_loss": 2.1247796120643616, |
| "epoch": 0.14, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 0.00029965319231952455, |
| "loss": 0.6123, |
| "step": 51 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.0002996193909122197, |
| "loss": 0.8919, |
| "step": 52 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.00029958402006830274, |
| "loss": 0.5756, |
| "step": 53 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.0002995470801587973, |
| "loss": 0.6228, |
| "step": 54 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.0002995085715711854, |
| "loss": 0.5568, |
| "step": 55 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.0002994684947094039, |
| "loss": 0.6196, |
| "step": 56 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.0002994268499938403, |
| "loss": 0.6517, |
| "step": 57 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 0.00029938363786132774, |
| "loss": 0.5935, |
| "step": 58 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00029933885876514115, |
| "loss": 0.5591, |
| "step": 59 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.0002992925131749921, |
| "loss": 0.6607, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00029924460157702376, |
| "loss": 0.5215, |
| "step": 61 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00029919512447380625, |
| "loss": 0.5303, |
| "step": 62 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.0002991440823843309, |
| "loss": 0.6202, |
| "step": 63 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.0002990914758440051, |
| "loss": 0.652, |
| "step": 64 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.00029903730540464666, |
| "loss": 0.513, |
| "step": 65 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.00029898157163447763, |
| "loss": 0.5911, |
| "step": 66 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.0002989242751181191, |
| "loss": 0.6151, |
| "step": 67 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.0002988654164565843, |
| "loss": 0.5382, |
| "step": 68 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.0002988049962672728, |
| "loss": 0.4576, |
| "step": 69 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00029874301518396376, |
| "loss": 0.5454, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00029867947385680936, |
| "loss": 0.6165, |
| "step": 71 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.0002986143729523282, |
| "loss": 0.5668, |
| "step": 72 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 0.00029854771315339785, |
| "loss": 0.529, |
| "step": 73 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.00029847949515924806, |
| "loss": 0.607, |
| "step": 74 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.0002984097196854534, |
| "loss": 0.5148, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.21, |
| "eval_loss": 0.5403281450271606, |
| "eval_runtime": 26.2629, |
| "eval_samples_per_second": 7.615, |
| "eval_steps_per_second": 1.904, |
| "step": 75 |
| }, |
| { |
| "dharma_eval_accuracy": 0.44914854034671264, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5925925925925926, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7037037037037037, |
| "dharma_eval_accuracy_MMLU": 0.48148148148148145, |
| "dharma_eval_accuracy_agieval": 0.2542372881355932, |
| "dharma_eval_accuracy_bigbench": 0.4918032786885246, |
| "dharma_eval_accuracy_openbookqa": 0.14814814814814814, |
| "dharma_eval_accuracy_truthful_qa": 0.37037037037037035, |
| "dharma_eval_accuracy_winogrande": 0.3888888888888889, |
| "dharma_loss": 2.383504674911499, |
| "epoch": 0.21, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.0002983383874639254, |
| "loss": 0.5237, |
| "step": 76 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00029826549924290557, |
| "loss": 0.6427, |
| "step": 77 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00029819105578695655, |
| "loss": 0.599, |
| "step": 78 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00029811505787695524, |
| "loss": 0.5157, |
| "step": 79 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00029803750631008356, |
| "loss": 0.549, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.0002979584018998209, |
| "loss": 0.6365, |
| "step": 81 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.000297877745475935, |
| "loss": 0.6266, |
| "step": 82 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.00029779553788447357, |
| "loss": 0.4927, |
| "step": 83 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00029771177998775536, |
| "loss": 0.5505, |
| "step": 84 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.0002976264726643611, |
| "loss": 0.5477, |
| "step": 85 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00029753961680912427, |
| "loss": 0.4543, |
| "step": 86 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00029745121333312163, |
| "loss": 0.5124, |
| "step": 87 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.0002973612631636638, |
| "loss": 0.6943, |
| "step": 88 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.0002972697672442856, |
| "loss": 0.5516, |
| "step": 89 |
| }, |
| { |
| "epoch": 0.25, |
| "learning_rate": 0.0002971767265347358, |
| "loss": 0.7085, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.00029708214201096755, |
| "loss": 0.6372, |
| "step": 91 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.0002969860146651276, |
| "loss": 0.7821, |
| "step": 92 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.00029688834550554646, |
| "loss": 0.6261, |
| "step": 93 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.0002967891355567273, |
| "loss": 0.6183, |
| "step": 94 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.00029668838585933556, |
| "loss": 0.5842, |
| "step": 95 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.0002965860974701879, |
| "loss": 0.5885, |
| "step": 96 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.0002964822714622412, |
| "loss": 0.6271, |
| "step": 97 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.000296376908924581, |
| "loss": 0.5535, |
| "step": 98 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00029627001096241057, |
| "loss": 0.5465, |
| "step": 99 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.0002961615786970389, |
| "loss": 0.6853, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.28, |
| "eval_loss": 0.5313628315925598, |
| "eval_runtime": 26.2771, |
| "eval_samples_per_second": 7.611, |
| "eval_steps_per_second": 1.903, |
| "step": 100 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3661470893263675, |
| "dharma_eval_accuracy_ARC-Challenge": 0.6296296296296297, |
| "dharma_eval_accuracy_ARC-Easy": 0.5370370370370371, |
| "dharma_eval_accuracy_BoolQ": 0.6851851851851852, |
| "dharma_eval_accuracy_MMLU": 0.46296296296296297, |
| "dharma_eval_accuracy_agieval": 0.22033898305084745, |
| "dharma_eval_accuracy_bigbench": 0.2786885245901639, |
| "dharma_eval_accuracy_openbookqa": 0.1111111111111111, |
| "dharma_eval_accuracy_truthful_qa": 0.3333333333333333, |
| "dharma_eval_accuracy_winogrande": 0.037037037037037035, |
| "dharma_loss": 2.1082235522270203, |
| "epoch": 0.28, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00029605161326586916, |
| "loss": 0.5665, |
| "step": 101 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.0002959401158223867, |
| "loss": 0.553, |
| "step": 102 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.0002958270875361469, |
| "loss": 0.753, |
| "step": 103 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.0002957125295927631, |
| "loss": 0.4767, |
| "step": 104 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 0.0002955964431938939, |
| "loss": 0.6908, |
| "step": 105 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.0002954788295572305, |
| "loss": 0.7143, |
| "step": 106 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.00029535968991648454, |
| "loss": 0.5282, |
| "step": 107 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.00029523902552137433, |
| "loss": 0.511, |
| "step": 108 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.0002951168376376124, |
| "loss": 0.735, |
| "step": 109 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.0002949931275468917, |
| "loss": 0.4398, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00029486789654687253, |
| "loss": 0.5353, |
| "step": 111 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00029474114595116896, |
| "loss": 0.6276, |
| "step": 112 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.00029461287708933473, |
| "loss": 0.5891, |
| "step": 113 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.0002944830913068494, |
| "loss": 0.5658, |
| "step": 114 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.00029435178996510455, |
| "loss": 0.5942, |
| "step": 115 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00029421897444138897, |
| "loss": 0.5236, |
| "step": 116 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.0002940846461288748, |
| "loss": 0.81, |
| "step": 117 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.0002939488064366024, |
| "loss": 0.6618, |
| "step": 118 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00029381145678946584, |
| "loss": 0.6485, |
| "step": 119 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.00029367259862819804, |
| "loss": 0.812, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.0002935322334093553, |
| "loss": 0.5752, |
| "step": 121 |
| }, |
| { |
| "epoch": 0.34, |
| "learning_rate": 0.0002933903626053024, |
| "loss": 0.362, |
| "step": 122 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00029324698770419685, |
| "loss": 0.525, |
| "step": 123 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.0002931021102099737, |
| "loss": 0.5478, |
| "step": 124 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.0002929557316423291, |
| "loss": 0.7068, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.35, |
| "eval_loss": 0.5387007594108582, |
| "eval_runtime": 26.2871, |
| "eval_samples_per_second": 7.608, |
| "eval_steps_per_second": 1.902, |
| "step": 125 |
| }, |
| { |
| "dharma_eval_accuracy": 0.28195932340602153, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5, |
| "dharma_eval_accuracy_ARC-Easy": 0.42592592592592593, |
| "dharma_eval_accuracy_BoolQ": 0.14814814814814814, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2033898305084746, |
| "dharma_eval_accuracy_bigbench": 0.2786885245901639, |
| "dharma_eval_accuracy_openbookqa": 0.16666666666666666, |
| "dharma_eval_accuracy_truthful_qa": 0.4074074074074074, |
| "dharma_eval_accuracy_winogrande": 0.037037037037037035, |
| "dharma_loss": 2.1986728873252868, |
| "epoch": 0.35, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00029280785353670514, |
| "loss": 0.5792, |
| "step": 126 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00029265847744427303, |
| "loss": 0.8044, |
| "step": 127 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00029250760493191734, |
| "loss": 0.6001, |
| "step": 128 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.0002923552375822194, |
| "loss": 0.6472, |
| "step": 129 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00029220137699344055, |
| "loss": 0.7501, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.00029204602477950556, |
| "loss": 0.6902, |
| "step": 131 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.00029188918256998564, |
| "loss": 0.4407, |
| "step": 132 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.0002917308520100814, |
| "loss": 0.5332, |
| "step": 133 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.00029157103476060544, |
| "loss": 0.5386, |
| "step": 134 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.0002914097324979651, |
| "loss": 0.4817, |
| "step": 135 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.0002912469469141448, |
| "loss": 0.4525, |
| "step": 136 |
| }, |
| { |
| "epoch": 0.38, |
| "learning_rate": 0.0002910826797166882, |
| "loss": 0.612, |
| "step": 137 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.00029091693262868067, |
| "loss": 0.7156, |
| "step": 138 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.0002907497073887305, |
| "loss": 0.5885, |
| "step": 139 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.0002905810057509515, |
| "loss": 0.7867, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00029041082948494395, |
| "loss": 0.5811, |
| "step": 141 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00029023918037577635, |
| "loss": 0.5932, |
| "step": 142 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00029006606022396667, |
| "loss": 0.5278, |
| "step": 143 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.00028989147084546333, |
| "loss": 0.7287, |
| "step": 144 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.00028971541407162634, |
| "loss": 0.6057, |
| "step": 145 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.0002895378917492079, |
| "loss": 0.5389, |
| "step": 146 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.0002893589057403332, |
| "loss": 0.5675, |
| "step": 147 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0002891784579224808, |
| "loss": 1.1157, |
| "step": 148 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.00028899655018846295, |
| "loss": 0.5764, |
| "step": 149 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0002888131844464056, |
| "loss": 0.5569, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.42, |
| "eval_loss": 0.5351170301437378, |
| "eval_runtime": 26.2901, |
| "eval_samples_per_second": 7.607, |
| "eval_steps_per_second": 1.902, |
| "step": 150 |
| }, |
| { |
| "dharma_eval_accuracy": 0.3671984787726814, |
| "dharma_eval_accuracy_ARC-Challenge": 0.4074074074074074, |
| "dharma_eval_accuracy_ARC-Easy": 0.5185185185185185, |
| "dharma_eval_accuracy_BoolQ": 0.5925925925925926, |
| "dharma_eval_accuracy_MMLU": 0.2777777777777778, |
| "dharma_eval_accuracy_agieval": 0.2033898305084746, |
| "dharma_eval_accuracy_bigbench": 0.36065573770491804, |
| "dharma_eval_accuracy_openbookqa": 0.12962962962962962, |
| "dharma_eval_accuracy_truthful_qa": 0.46296296296296297, |
| "dharma_eval_accuracy_winogrande": 0.35185185185185186, |
| "dharma_loss": 2.2095200095176697, |
| "epoch": 0.42, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0002886283626197287, |
| "loss": 0.6519, |
| "step": 151 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.00028844208664712575, |
| "loss": 0.5034, |
| "step": 152 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.0002882543584825435, |
| "loss": 0.458, |
| "step": 153 |
| }, |
| { |
| "epoch": 0.43, |
| "learning_rate": 0.00028806518009516155, |
| "loss": 0.7111, |
| "step": 154 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002878745534693718, |
| "loss": 0.5929, |
| "step": 155 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.00028768248060475726, |
| "loss": 0.4101, |
| "step": 156 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002874889635160714, |
| "loss": 0.5451, |
| "step": 157 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0002872940042332169, |
| "loss": 0.5704, |
| "step": 158 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.0002870976048012244, |
| "loss": 0.561, |
| "step": 159 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.000286899767280231, |
| "loss": 0.6202, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.0002867004937454587, |
| "loss": 0.482, |
| "step": 161 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.00028649978628719254, |
| "loss": 0.7186, |
| "step": 162 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.00028629764701075885, |
| "loss": 0.6017, |
| "step": 163 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.0002860940780365029, |
| "loss": 0.3942, |
| "step": 164 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.000285889081499767, |
| "loss": 0.6209, |
| "step": 165 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.00028568265955086774, |
| "loss": 0.6066, |
| "step": 166 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.0002854748143550738, |
| "loss": 0.4569, |
| "step": 167 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.00028526554809258275, |
| "loss": 0.5281, |
| "step": 168 |
| }, |
| { |
| "epoch": 0.47, |
| "learning_rate": 0.0002850548629584988, |
| "loss": 0.6024, |
| "step": 169 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00028484276116280926, |
| "loss": 0.5511, |
| "step": 170 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00028462924493036164, |
| "loss": 0.5352, |
| "step": 171 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00028441431650084016, |
| "loss": 0.4939, |
| "step": 172 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.00028419797812874237, |
| "loss": 0.4447, |
| "step": 173 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.00028398023208335533, |
| "loss": 0.4381, |
| "step": 174 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.00028376108064873215, |
| "loss": 0.5307, |
| "step": 175 |
| }, |
| { |
| "epoch": 0.49, |
| "eval_loss": 0.5249650478363037, |
| "eval_runtime": 26.2562, |
| "eval_samples_per_second": 7.617, |
| "eval_steps_per_second": 1.904, |
| "step": 175 |
| }, |
| { |
| "dharma_eval_accuracy": 0.37955502042748507, |
| "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145, |
| "dharma_eval_accuracy_ARC-Easy": 0.46296296296296297, |
| "dharma_eval_accuracy_BoolQ": 0.5185185185185185, |
| "dharma_eval_accuracy_MMLU": 0.37037037037037035, |
| "dharma_eval_accuracy_agieval": 0.2711864406779661, |
| "dharma_eval_accuracy_bigbench": 0.3114754098360656, |
| "dharma_eval_accuracy_openbookqa": 0.18518518518518517, |
| "dharma_eval_accuracy_truthful_qa": 0.3888888888888889, |
| "dharma_eval_accuracy_winogrande": 0.42592592592592593, |
| "dharma_loss": 2.0181055121421814, |
| "epoch": 0.49, |
| "step": 175 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.00028354052612366757, |
| "loss": 0.728, |
| "step": 176 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.0002833185708216743, |
| "loss": 0.6826, |
| "step": 177 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.0002830952170709583, |
| "loss": 0.5093, |
| "step": 178 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.00028287046721439484, |
| "loss": 0.5606, |
| "step": 179 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.00028264432360950353, |
| "loss": 0.6572, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0002824167886284237, |
| "loss": 0.4859, |
| "step": 181 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0002821878646578898, |
| "loss": 0.7205, |
| "step": 182 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0002819575540992058, |
| "loss": 0.6155, |
| "step": 183 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.00028172585936822055, |
| "loss": 0.6296, |
| "step": 184 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.00028149278289530213, |
| "loss": 0.5541, |
| "step": 185 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.00028125832712531246, |
| "loss": 0.6688, |
| "step": 186 |
| }, |
| { |
| "epoch": 0.52, |
| "learning_rate": 0.0002810224945175816, |
| "loss": 0.6164, |
| "step": 187 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.00028078528754588205, |
| "loss": 0.5584, |
| "step": 188 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.00028054670869840265, |
| "loss": 0.5675, |
| "step": 189 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.00028030676047772265, |
| "loss": 0.439, |
| "step": 190 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00028006544540078534, |
| "loss": 0.7137, |
| "step": 191 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.0002798227659988717, |
| "loss": 0.7236, |
| "step": 192 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00027957872481757374, |
| "loss": 0.6347, |
| "step": 193 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00027933332441676807, |
| "loss": 0.572, |
| "step": 194 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.0002790865673705888, |
| "loss": 0.4412, |
| "step": 195 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.00027883845626740044, |
| "loss": 0.5219, |
| "step": 196 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.0002785889937097712, |
| "loss": 0.4882, |
| "step": 197 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.00027833818231444516, |
| "loss": 0.6258, |
| "step": 198 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.00027808602471231524, |
| "loss": 0.585, |
| "step": 199 |
| }, |
| { |
| "epoch": 0.56, |
| "learning_rate": 0.0002778325235483954, |
| "loss": 0.5413, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.56, |
| "eval_loss": 0.5214321613311768, |
| "eval_runtime": 26.2712, |
| "eval_samples_per_second": 7.613, |
| "eval_steps_per_second": 1.903, |
| "step": 200 |
| }, |
| { |
| "dharma_eval_accuracy": 0.46479417579414495, |
| "dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556, |
| "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112, |
| "dharma_eval_accuracy_BoolQ": 0.7592592592592593, |
| "dharma_eval_accuracy_MMLU": 0.42592592592592593, |
| "dharma_eval_accuracy_agieval": 0.2711864406779661, |
| "dharma_eval_accuracy_bigbench": 0.39344262295081966, |
| "dharma_eval_accuracy_openbookqa": 0.2222222222222222, |
| "dharma_eval_accuracy_truthful_qa": 0.48148148148148145, |
| "dharma_eval_accuracy_winogrande": 0.46296296296296297, |
| "dharma_loss": 2.4899120001792907, |
| "epoch": 0.56, |
| "step": 200 |
| } |
| ], |
| "max_steps": 1000, |
| "num_train_epochs": 3, |
| "total_flos": 6.277915233887846e+16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
