|
{ |
|
"best_metric": 0.6824774146080017, |
|
"best_model_checkpoint": "experts/mistralic-expert-29/checkpoint-400", |
|
"epoch": 0.10099734881959349, |
|
"eval_steps": 200, |
|
"global_step": 400, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8281, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6834, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6795, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5884, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.836, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7988, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.531, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6883, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7717, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7416, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5991, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6144, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5785, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7473, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6916, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9093, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9202, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5683, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6056, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8613, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7247, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5612, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6764, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8115, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5642, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5383, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5503, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6636, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7039, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7322, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6291, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6892, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8208, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6776, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5404, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6605, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8808, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7159, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6436, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5478, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.879, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8325, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7474, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6632, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6072, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7562, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6429, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6926, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7064, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7125, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6166, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5655, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7084, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6504, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6086, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8146, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.706, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6723, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.4581, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7367, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7673, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.513, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7892, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.662, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.656, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.559, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6614, |
|
"step": 67 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7893, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7972, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8093, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8171, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6491, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6915, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5994, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5994, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.608, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6353, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6389, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.539, |
|
"step": 79 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6736, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7245, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7079, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7158, |
|
"step": 83 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5509, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.688, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9429, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7074, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7848, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7461, |
|
"step": 89 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7644, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.893, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9111, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.729, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6529, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9489, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6918, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5863, |
|
"step": 97 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6953, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6269, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5336, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6729, |
|
"step": 101 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.57, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7521, |
|
"step": 103 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6486, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6212, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8345, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6985, |
|
"step": 107 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6532, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7224, |
|
"step": 109 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6173, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8925, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6129, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6461, |
|
"step": 113 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5614, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7075, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5555, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6579, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7032, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7109, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.631, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5974, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8038, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6748, |
|
"step": 123 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8089, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5831, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7566, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6766, |
|
"step": 127 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7793, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.638, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6085, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6366, |
|
"step": 131 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.918, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6851, |
|
"step": 133 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6124, |
|
"step": 134 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7642, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.642, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9157, |
|
"step": 137 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6619, |
|
"step": 138 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8664, |
|
"step": 139 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6881, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6909, |
|
"step": 141 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7242, |
|
"step": 142 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.635, |
|
"step": 143 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8164, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6169, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5874, |
|
"step": 146 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6332, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8494, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.834, |
|
"step": 149 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8598, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5545, |
|
"step": 151 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9171, |
|
"step": 152 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6941, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8018, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7894, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5925, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6051, |
|
"step": 157 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7172, |
|
"step": 158 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7902, |
|
"step": 159 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8397, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7131, |
|
"step": 161 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7729, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.604, |
|
"step": 163 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.682, |
|
"step": 164 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.641, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7199, |
|
"step": 166 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5337, |
|
"step": 167 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8882, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7981, |
|
"step": 169 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7438, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.586, |
|
"step": 171 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8469, |
|
"step": 172 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7154, |
|
"step": 173 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6153, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5517, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.951, |
|
"step": 176 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6128, |
|
"step": 177 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6679, |
|
"step": 178 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6546, |
|
"step": 179 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6633, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7509, |
|
"step": 181 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6667, |
|
"step": 182 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6744, |
|
"step": 183 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8333, |
|
"step": 184 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9516, |
|
"step": 185 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5293, |
|
"step": 186 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5694, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7939, |
|
"step": 188 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6257, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6859, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7746, |
|
"step": 191 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5474, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6079, |
|
"step": 193 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6545, |
|
"step": 194 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7829, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6969, |
|
"step": 196 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.713, |
|
"step": 197 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8589, |
|
"step": 198 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6964, |
|
"step": 199 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6997, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"eval_loss": 0.6861502528190613, |
|
"eval_runtime": 95.1356, |
|
"eval_samples_per_second": 10.511, |
|
"eval_steps_per_second": 5.256, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"mmlu_eval_accuracy": 0.5869545490402098, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, |
|
"mmlu_eval_accuracy_anatomy": 0.5, |
|
"mmlu_eval_accuracy_astronomy": 0.8125, |
|
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, |
|
"mmlu_eval_accuracy_college_biology": 0.625, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, |
|
"mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_college_medicine": 0.5909090909090909, |
|
"mmlu_eval_accuracy_college_physics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_computer_security": 0.6363636363636364, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, |
|
"mmlu_eval_accuracy_econometrics": 0.5, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.5625, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, |
|
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285, |
|
"mmlu_eval_accuracy_global_facts": 0.4, |
|
"mmlu_eval_accuracy_high_school_biology": 0.59375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, |
|
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, |
|
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, |
|
"mmlu_eval_accuracy_human_aging": 0.7391304347826086, |
|
"mmlu_eval_accuracy_human_sexuality": 0.5, |
|
"mmlu_eval_accuracy_international_law": 1.0, |
|
"mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, |
|
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365, |
|
"mmlu_eval_accuracy_management": 0.9090909090909091, |
|
"mmlu_eval_accuracy_marketing": 0.92, |
|
"mmlu_eval_accuracy_medical_genetics": 1.0, |
|
"mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, |
|
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.38, |
|
"mmlu_eval_accuracy_nutrition": 0.7272727272727273, |
|
"mmlu_eval_accuracy_philosophy": 0.7058823529411765, |
|
"mmlu_eval_accuracy_prehistory": 0.4857142857142857, |
|
"mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, |
|
"mmlu_eval_accuracy_professional_law": 0.40588235294117647, |
|
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, |
|
"mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, |
|
"mmlu_eval_accuracy_public_relations": 0.5, |
|
"mmlu_eval_accuracy_security_studies": 0.6296296296296297, |
|
"mmlu_eval_accuracy_sociology": 0.8181818181818182, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, |
|
"mmlu_eval_accuracy_virology": 0.4444444444444444, |
|
"mmlu_eval_accuracy_world_religions": 0.7894736842105263, |
|
"mmlu_loss": 1.8230019673977447, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6604, |
|
"step": 201 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8396, |
|
"step": 202 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7984, |
|
"step": 203 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6176, |
|
"step": 204 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5603, |
|
"step": 205 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6735, |
|
"step": 206 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5549, |
|
"step": 207 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6017, |
|
"step": 208 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7503, |
|
"step": 209 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6149, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.695, |
|
"step": 211 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6514, |
|
"step": 212 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6449, |
|
"step": 213 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7956, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5207, |
|
"step": 215 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6516, |
|
"step": 216 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8209, |
|
"step": 217 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6882, |
|
"step": 218 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6878, |
|
"step": 219 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6819, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5928, |
|
"step": 221 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6976, |
|
"step": 222 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5981, |
|
"step": 223 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8225, |
|
"step": 224 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6529, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6796, |
|
"step": 226 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5937, |
|
"step": 227 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7849, |
|
"step": 228 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8637, |
|
"step": 229 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7255, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7026, |
|
"step": 231 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.72, |
|
"step": 232 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7608, |
|
"step": 233 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6111, |
|
"step": 234 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6461, |
|
"step": 235 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7821, |
|
"step": 236 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6617, |
|
"step": 237 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.703, |
|
"step": 238 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6998, |
|
"step": 239 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6882, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6719, |
|
"step": 241 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7673, |
|
"step": 242 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6299, |
|
"step": 243 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7046, |
|
"step": 244 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.648, |
|
"step": 245 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8277, |
|
"step": 246 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6474, |
|
"step": 247 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6895, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7114, |
|
"step": 249 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5852, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.732, |
|
"step": 251 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7306, |
|
"step": 252 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8135, |
|
"step": 253 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6564, |
|
"step": 254 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.837, |
|
"step": 255 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6664, |
|
"step": 256 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6575, |
|
"step": 257 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8251, |
|
"step": 258 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8432, |
|
"step": 259 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.667, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6629, |
|
"step": 261 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6662, |
|
"step": 262 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7222, |
|
"step": 263 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7911, |
|
"step": 264 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5994, |
|
"step": 265 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7135, |
|
"step": 266 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8315, |
|
"step": 267 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5882, |
|
"step": 268 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7202, |
|
"step": 269 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.561, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7236, |
|
"step": 271 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6975, |
|
"step": 272 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7764, |
|
"step": 273 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7473, |
|
"step": 274 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6756, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6694, |
|
"step": 276 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7919, |
|
"step": 277 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6832, |
|
"step": 278 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6489, |
|
"step": 279 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8486, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.832, |
|
"step": 281 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6387, |
|
"step": 282 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.592, |
|
"step": 283 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6453, |
|
"step": 284 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.751, |
|
"step": 285 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6806, |
|
"step": 286 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7266, |
|
"step": 287 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8536, |
|
"step": 288 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6573, |
|
"step": 289 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6346, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8819, |
|
"step": 291 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6592, |
|
"step": 292 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6427, |
|
"step": 293 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7104, |
|
"step": 294 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6236, |
|
"step": 295 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5712, |
|
"step": 296 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6399, |
|
"step": 297 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8104, |
|
"step": 298 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7844, |
|
"step": 299 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.887, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7379, |
|
"step": 301 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5748, |
|
"step": 302 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7696, |
|
"step": 303 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6378, |
|
"step": 304 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5088, |
|
"step": 305 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6444, |
|
"step": 306 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5152, |
|
"step": 307 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7381, |
|
"step": 308 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7065, |
|
"step": 309 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5301, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6852, |
|
"step": 311 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6646, |
|
"step": 312 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6507, |
|
"step": 313 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7246, |
|
"step": 314 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6344, |
|
"step": 315 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6504, |
|
"step": 316 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6365, |
|
"step": 317 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6636, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6685, |
|
"step": 319 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7406, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.662, |
|
"step": 321 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6903, |
|
"step": 322 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7694, |
|
"step": 323 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6293, |
|
"step": 324 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7103, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8745, |
|
"step": 326 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.4777, |
|
"step": 327 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6935, |
|
"step": 328 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6813, |
|
"step": 329 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6788, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6835, |
|
"step": 331 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7498, |
|
"step": 332 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5958, |
|
"step": 333 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5378, |
|
"step": 334 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6314, |
|
"step": 335 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6326, |
|
"step": 336 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7197, |
|
"step": 337 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6465, |
|
"step": 338 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6166, |
|
"step": 339 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6901, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6614, |
|
"step": 341 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7126, |
|
"step": 342 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7241, |
|
"step": 343 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7211, |
|
"step": 344 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8427, |
|
"step": 345 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8317, |
|
"step": 346 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.4921, |
|
"step": 347 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.602, |
|
"step": 348 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7526, |
|
"step": 349 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7541, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.702, |
|
"step": 351 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6369, |
|
"step": 352 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.71, |
|
"step": 353 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7067, |
|
"step": 354 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7172, |
|
"step": 355 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7921, |
|
"step": 356 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7258, |
|
"step": 357 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8355, |
|
"step": 358 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7401, |
|
"step": 359 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8881, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7246, |
|
"step": 361 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6681, |
|
"step": 362 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5973, |
|
"step": 363 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5858, |
|
"step": 364 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7266, |
|
"step": 365 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7617, |
|
"step": 366 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8634, |
|
"step": 367 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8171, |
|
"step": 368 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6914, |
|
"step": 369 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6371, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7257, |
|
"step": 371 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7238, |
|
"step": 372 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6262, |
|
"step": 373 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7033, |
|
"step": 374 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7395, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7843, |
|
"step": 376 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6959, |
|
"step": 377 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9614, |
|
"step": 378 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7035, |
|
"step": 379 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8038, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5506, |
|
"step": 381 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8534, |
|
"step": 382 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7633, |
|
"step": 383 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7036, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7258, |
|
"step": 385 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5646, |
|
"step": 386 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5988, |
|
"step": 387 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6628, |
|
"step": 388 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6735, |
|
"step": 389 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6903, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7059, |
|
"step": 391 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6156, |
|
"step": 392 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.6621, |
|
"step": 393 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5314, |
|
"step": 394 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7155, |
|
"step": 395 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8404, |
|
"step": 396 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7622, |
|
"step": 397 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7688, |
|
"step": 398 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.648, |
|
"step": 399 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.488, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"eval_loss": 0.6824774146080017, |
|
"eval_runtime": 95.1468, |
|
"eval_samples_per_second": 10.51, |
|
"eval_steps_per_second": 5.255, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"mmlu_eval_accuracy": 0.5881224648885633, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, |
|
"mmlu_eval_accuracy_anatomy": 0.5, |
|
"mmlu_eval_accuracy_astronomy": 0.8125, |
|
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, |
|
"mmlu_eval_accuracy_college_biology": 0.5625, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, |
|
"mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_college_medicine": 0.6363636363636364, |
|
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_computer_security": 0.7272727272727273, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.5, |
|
"mmlu_eval_accuracy_econometrics": 0.5, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.625, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, |
|
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285, |
|
"mmlu_eval_accuracy_global_facts": 0.3, |
|
"mmlu_eval_accuracy_high_school_biology": 0.59375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, |
|
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, |
|
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, |
|
"mmlu_eval_accuracy_human_aging": 0.7391304347826086, |
|
"mmlu_eval_accuracy_human_sexuality": 0.5, |
|
"mmlu_eval_accuracy_international_law": 1.0, |
|
"mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, |
|
"mmlu_eval_accuracy_machine_learning": 0.5454545454545454, |
|
"mmlu_eval_accuracy_management": 0.9090909090909091, |
|
"mmlu_eval_accuracy_marketing": 0.88, |
|
"mmlu_eval_accuracy_medical_genetics": 1.0, |
|
"mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, |
|
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.37, |
|
"mmlu_eval_accuracy_nutrition": 0.696969696969697, |
|
"mmlu_eval_accuracy_philosophy": 0.7352941176470589, |
|
"mmlu_eval_accuracy_prehistory": 0.5714285714285714, |
|
"mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, |
|
"mmlu_eval_accuracy_professional_law": 0.4117647058823529, |
|
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, |
|
"mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, |
|
"mmlu_eval_accuracy_public_relations": 0.5, |
|
"mmlu_eval_accuracy_security_studies": 0.6296296296296297, |
|
"mmlu_eval_accuracy_sociology": 0.7727272727272727, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, |
|
"mmlu_eval_accuracy_virology": 0.4444444444444444, |
|
"mmlu_eval_accuracy_world_religions": 0.7894736842105263, |
|
"mmlu_loss": 1.4297099713012382, |
|
"step": 400 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 11880, |
|
"num_train_epochs": 3, |
|
"save_steps": 200, |
|
"total_flos": 4.722231529124659e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|