| { |
| "best_metric": 0.9534883720930233, |
| "best_model_checkpoint": "beit-base-patch16-224-75-fold2/checkpoint-40", |
| "epoch": 100.0, |
| "eval_steps": 500, |
| "global_step": 200, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.5348837209302325, |
| "eval_loss": 0.7091274261474609, |
| "eval_runtime": 0.6801, |
| "eval_samples_per_second": 63.228, |
| "eval_steps_per_second": 2.941, |
| "step": 2 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7209302325581395, |
| "eval_loss": 0.6502025723457336, |
| "eval_runtime": 0.7085, |
| "eval_samples_per_second": 60.688, |
| "eval_steps_per_second": 2.823, |
| "step": 4 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.6976744186046512, |
| "eval_loss": 0.9193121194839478, |
| "eval_runtime": 0.6883, |
| "eval_samples_per_second": 62.471, |
| "eval_steps_per_second": 2.906, |
| "step": 6 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.7441860465116279, |
| "eval_loss": 0.7498829960823059, |
| "eval_runtime": 0.707, |
| "eval_samples_per_second": 60.819, |
| "eval_steps_per_second": 2.829, |
| "step": 8 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 9.87000846862793, |
| "learning_rate": 2.5e-05, |
| "loss": 0.6436, |
| "step": 10 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.813953488372093, |
| "eval_loss": 0.45272693037986755, |
| "eval_runtime": 0.6566, |
| "eval_samples_per_second": 65.484, |
| "eval_steps_per_second": 3.046, |
| "step": 10 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.4168838560581207, |
| "eval_runtime": 0.6591, |
| "eval_samples_per_second": 65.241, |
| "eval_steps_per_second": 3.034, |
| "step": 12 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.7441860465116279, |
| "eval_loss": 0.5772562026977539, |
| "eval_runtime": 0.6565, |
| "eval_samples_per_second": 65.498, |
| "eval_steps_per_second": 3.046, |
| "step": 14 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.4076061546802521, |
| "eval_runtime": 0.6649, |
| "eval_samples_per_second": 64.672, |
| "eval_steps_per_second": 3.008, |
| "step": 16 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.39387083053588867, |
| "eval_runtime": 0.6727, |
| "eval_samples_per_second": 63.921, |
| "eval_steps_per_second": 2.973, |
| "step": 18 |
| }, |
| { |
| "epoch": 10.0, |
| "grad_norm": 8.721357345581055, |
| "learning_rate": 5e-05, |
| "loss": 0.3863, |
| "step": 20 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.40172407031059265, |
| "eval_runtime": 0.6905, |
| "eval_samples_per_second": 62.273, |
| "eval_steps_per_second": 2.896, |
| "step": 20 |
| }, |
| { |
| "epoch": 11.0, |
| "eval_accuracy": 0.813953488372093, |
| "eval_loss": 0.4918433725833893, |
| "eval_runtime": 0.6742, |
| "eval_samples_per_second": 63.784, |
| "eval_steps_per_second": 2.967, |
| "step": 22 |
| }, |
| { |
| "epoch": 12.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.26880943775177, |
| "eval_runtime": 0.6795, |
| "eval_samples_per_second": 63.277, |
| "eval_steps_per_second": 2.943, |
| "step": 24 |
| }, |
| { |
| "epoch": 13.0, |
| "eval_accuracy": 0.813953488372093, |
| "eval_loss": 0.38842692971229553, |
| "eval_runtime": 0.6685, |
| "eval_samples_per_second": 64.32, |
| "eval_steps_per_second": 2.992, |
| "step": 26 |
| }, |
| { |
| "epoch": 14.0, |
| "eval_accuracy": 0.813953488372093, |
| "eval_loss": 0.36793774366378784, |
| "eval_runtime": 0.6633, |
| "eval_samples_per_second": 64.825, |
| "eval_steps_per_second": 3.015, |
| "step": 28 |
| }, |
| { |
| "epoch": 15.0, |
| "grad_norm": 7.428971767425537, |
| "learning_rate": 4.722222222222222e-05, |
| "loss": 0.2925, |
| "step": 30 |
| }, |
| { |
| "epoch": 15.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.28020721673965454, |
| "eval_runtime": 0.6621, |
| "eval_samples_per_second": 64.946, |
| "eval_steps_per_second": 3.021, |
| "step": 30 |
| }, |
| { |
| "epoch": 16.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.2435620129108429, |
| "eval_runtime": 0.6853, |
| "eval_samples_per_second": 62.742, |
| "eval_steps_per_second": 2.918, |
| "step": 32 |
| }, |
| { |
| "epoch": 17.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.23368221521377563, |
| "eval_runtime": 0.6637, |
| "eval_samples_per_second": 64.786, |
| "eval_steps_per_second": 3.013, |
| "step": 34 |
| }, |
| { |
| "epoch": 18.0, |
| "eval_accuracy": 0.813953488372093, |
| "eval_loss": 0.3710887134075165, |
| "eval_runtime": 0.6636, |
| "eval_samples_per_second": 64.797, |
| "eval_steps_per_second": 3.014, |
| "step": 36 |
| }, |
| { |
| "epoch": 19.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.23721440136432648, |
| "eval_runtime": 0.6651, |
| "eval_samples_per_second": 64.653, |
| "eval_steps_per_second": 3.007, |
| "step": 38 |
| }, |
| { |
| "epoch": 20.0, |
| "grad_norm": 6.218175888061523, |
| "learning_rate": 4.4444444444444447e-05, |
| "loss": 0.2289, |
| "step": 40 |
| }, |
| { |
| "epoch": 20.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.2685289978981018, |
| "eval_runtime": 0.6636, |
| "eval_samples_per_second": 64.799, |
| "eval_steps_per_second": 3.014, |
| "step": 40 |
| }, |
| { |
| "epoch": 21.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.26095083355903625, |
| "eval_runtime": 0.6603, |
| "eval_samples_per_second": 65.125, |
| "eval_steps_per_second": 3.029, |
| "step": 42 |
| }, |
| { |
| "epoch": 22.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.33278653025627136, |
| "eval_runtime": 0.6615, |
| "eval_samples_per_second": 65.007, |
| "eval_steps_per_second": 3.024, |
| "step": 44 |
| }, |
| { |
| "epoch": 23.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.34786635637283325, |
| "eval_runtime": 0.6666, |
| "eval_samples_per_second": 64.504, |
| "eval_steps_per_second": 3.0, |
| "step": 46 |
| }, |
| { |
| "epoch": 24.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.28547996282577515, |
| "eval_runtime": 0.6589, |
| "eval_samples_per_second": 65.256, |
| "eval_steps_per_second": 3.035, |
| "step": 48 |
| }, |
| { |
| "epoch": 25.0, |
| "grad_norm": 2.4903624057769775, |
| "learning_rate": 4.166666666666667e-05, |
| "loss": 0.219, |
| "step": 50 |
| }, |
| { |
| "epoch": 25.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.29620176553726196, |
| "eval_runtime": 0.7126, |
| "eval_samples_per_second": 60.347, |
| "eval_steps_per_second": 2.807, |
| "step": 50 |
| }, |
| { |
| "epoch": 26.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.4037957191467285, |
| "eval_runtime": 0.664, |
| "eval_samples_per_second": 64.756, |
| "eval_steps_per_second": 3.012, |
| "step": 52 |
| }, |
| { |
| "epoch": 27.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.31493234634399414, |
| "eval_runtime": 0.6564, |
| "eval_samples_per_second": 65.513, |
| "eval_steps_per_second": 3.047, |
| "step": 54 |
| }, |
| { |
| "epoch": 28.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3212130665779114, |
| "eval_runtime": 0.6626, |
| "eval_samples_per_second": 64.896, |
| "eval_steps_per_second": 3.018, |
| "step": 56 |
| }, |
| { |
| "epoch": 29.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.48950737714767456, |
| "eval_runtime": 0.6802, |
| "eval_samples_per_second": 63.216, |
| "eval_steps_per_second": 2.94, |
| "step": 58 |
| }, |
| { |
| "epoch": 30.0, |
| "grad_norm": 11.771470069885254, |
| "learning_rate": 3.888888888888889e-05, |
| "loss": 0.1933, |
| "step": 60 |
| }, |
| { |
| "epoch": 30.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.4335302412509918, |
| "eval_runtime": 0.6571, |
| "eval_samples_per_second": 65.442, |
| "eval_steps_per_second": 3.044, |
| "step": 60 |
| }, |
| { |
| "epoch": 31.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.3521455228328705, |
| "eval_runtime": 0.6638, |
| "eval_samples_per_second": 64.774, |
| "eval_steps_per_second": 3.013, |
| "step": 62 |
| }, |
| { |
| "epoch": 32.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.29595664143562317, |
| "eval_runtime": 0.6692, |
| "eval_samples_per_second": 64.258, |
| "eval_steps_per_second": 2.989, |
| "step": 64 |
| }, |
| { |
| "epoch": 33.0, |
| "eval_accuracy": 0.8372093023255814, |
| "eval_loss": 0.4036531150341034, |
| "eval_runtime": 0.6662, |
| "eval_samples_per_second": 64.546, |
| "eval_steps_per_second": 3.002, |
| "step": 66 |
| }, |
| { |
| "epoch": 34.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.2912556529045105, |
| "eval_runtime": 0.6652, |
| "eval_samples_per_second": 64.644, |
| "eval_steps_per_second": 3.007, |
| "step": 68 |
| }, |
| { |
| "epoch": 35.0, |
| "grad_norm": 5.611938953399658, |
| "learning_rate": 3.611111111111111e-05, |
| "loss": 0.1892, |
| "step": 70 |
| }, |
| { |
| "epoch": 35.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.30434587597846985, |
| "eval_runtime": 0.6558, |
| "eval_samples_per_second": 65.57, |
| "eval_steps_per_second": 3.05, |
| "step": 70 |
| }, |
| { |
| "epoch": 36.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3602141737937927, |
| "eval_runtime": 0.6584, |
| "eval_samples_per_second": 65.311, |
| "eval_steps_per_second": 3.038, |
| "step": 72 |
| }, |
| { |
| "epoch": 37.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.33154794573783875, |
| "eval_runtime": 0.6651, |
| "eval_samples_per_second": 64.655, |
| "eval_steps_per_second": 3.007, |
| "step": 74 |
| }, |
| { |
| "epoch": 38.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.26741957664489746, |
| "eval_runtime": 0.6641, |
| "eval_samples_per_second": 64.748, |
| "eval_steps_per_second": 3.012, |
| "step": 76 |
| }, |
| { |
| "epoch": 39.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.29697251319885254, |
| "eval_runtime": 0.6727, |
| "eval_samples_per_second": 63.918, |
| "eval_steps_per_second": 2.973, |
| "step": 78 |
| }, |
| { |
| "epoch": 40.0, |
| "grad_norm": 3.212876796722412, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 0.15, |
| "step": 80 |
| }, |
| { |
| "epoch": 40.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.26611432433128357, |
| "eval_runtime": 0.6735, |
| "eval_samples_per_second": 63.847, |
| "eval_steps_per_second": 2.97, |
| "step": 80 |
| }, |
| { |
| "epoch": 41.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.2550868093967438, |
| "eval_runtime": 0.6643, |
| "eval_samples_per_second": 64.733, |
| "eval_steps_per_second": 3.011, |
| "step": 82 |
| }, |
| { |
| "epoch": 42.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.24666233360767365, |
| "eval_runtime": 0.684, |
| "eval_samples_per_second": 62.867, |
| "eval_steps_per_second": 2.924, |
| "step": 84 |
| }, |
| { |
| "epoch": 43.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.3008131682872772, |
| "eval_runtime": 0.6612, |
| "eval_samples_per_second": 65.036, |
| "eval_steps_per_second": 3.025, |
| "step": 86 |
| }, |
| { |
| "epoch": 44.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3265131115913391, |
| "eval_runtime": 0.6639, |
| "eval_samples_per_second": 64.767, |
| "eval_steps_per_second": 3.012, |
| "step": 88 |
| }, |
| { |
| "epoch": 45.0, |
| "grad_norm": 3.951080560684204, |
| "learning_rate": 3.055555555555556e-05, |
| "loss": 0.1238, |
| "step": 90 |
| }, |
| { |
| "epoch": 45.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.2668008506298065, |
| "eval_runtime": 0.6626, |
| "eval_samples_per_second": 64.893, |
| "eval_steps_per_second": 3.018, |
| "step": 90 |
| }, |
| { |
| "epoch": 46.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.25739309191703796, |
| "eval_runtime": 0.6671, |
| "eval_samples_per_second": 64.463, |
| "eval_steps_per_second": 2.998, |
| "step": 92 |
| }, |
| { |
| "epoch": 47.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.24979150295257568, |
| "eval_runtime": 0.6578, |
| "eval_samples_per_second": 65.37, |
| "eval_steps_per_second": 3.04, |
| "step": 94 |
| }, |
| { |
| "epoch": 48.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.331857293844223, |
| "eval_runtime": 0.6644, |
| "eval_samples_per_second": 64.721, |
| "eval_steps_per_second": 3.01, |
| "step": 96 |
| }, |
| { |
| "epoch": 49.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.23575438559055328, |
| "eval_runtime": 0.6658, |
| "eval_samples_per_second": 64.585, |
| "eval_steps_per_second": 3.004, |
| "step": 98 |
| }, |
| { |
| "epoch": 50.0, |
| "grad_norm": 4.541098594665527, |
| "learning_rate": 2.777777777777778e-05, |
| "loss": 0.1063, |
| "step": 100 |
| }, |
| { |
| "epoch": 50.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.2014588862657547, |
| "eval_runtime": 0.6601, |
| "eval_samples_per_second": 65.142, |
| "eval_steps_per_second": 3.03, |
| "step": 100 |
| }, |
| { |
| "epoch": 51.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.21708515286445618, |
| "eval_runtime": 0.6871, |
| "eval_samples_per_second": 62.582, |
| "eval_steps_per_second": 2.911, |
| "step": 102 |
| }, |
| { |
| "epoch": 52.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.31185880303382874, |
| "eval_runtime": 0.6611, |
| "eval_samples_per_second": 65.04, |
| "eval_steps_per_second": 3.025, |
| "step": 104 |
| }, |
| { |
| "epoch": 53.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.26736676692962646, |
| "eval_runtime": 0.6628, |
| "eval_samples_per_second": 64.878, |
| "eval_steps_per_second": 3.018, |
| "step": 106 |
| }, |
| { |
| "epoch": 54.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.307630330324173, |
| "eval_runtime": 0.6615, |
| "eval_samples_per_second": 65.008, |
| "eval_steps_per_second": 3.024, |
| "step": 108 |
| }, |
| { |
| "epoch": 55.0, |
| "grad_norm": 5.14859676361084, |
| "learning_rate": 2.5e-05, |
| "loss": 0.1112, |
| "step": 110 |
| }, |
| { |
| "epoch": 55.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.3181542158126831, |
| "eval_runtime": 0.6603, |
| "eval_samples_per_second": 65.12, |
| "eval_steps_per_second": 3.029, |
| "step": 110 |
| }, |
| { |
| "epoch": 56.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3371391296386719, |
| "eval_runtime": 0.662, |
| "eval_samples_per_second": 64.957, |
| "eval_steps_per_second": 3.021, |
| "step": 112 |
| }, |
| { |
| "epoch": 57.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.35395121574401855, |
| "eval_runtime": 0.6647, |
| "eval_samples_per_second": 64.692, |
| "eval_steps_per_second": 3.009, |
| "step": 114 |
| }, |
| { |
| "epoch": 58.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.40581977367401123, |
| "eval_runtime": 0.6636, |
| "eval_samples_per_second": 64.798, |
| "eval_steps_per_second": 3.014, |
| "step": 116 |
| }, |
| { |
| "epoch": 59.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.4012940526008606, |
| "eval_runtime": 0.6602, |
| "eval_samples_per_second": 65.133, |
| "eval_steps_per_second": 3.029, |
| "step": 118 |
| }, |
| { |
| "epoch": 60.0, |
| "grad_norm": 5.5886430740356445, |
| "learning_rate": 2.2222222222222223e-05, |
| "loss": 0.1128, |
| "step": 120 |
| }, |
| { |
| "epoch": 60.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3309071362018585, |
| "eval_runtime": 0.662, |
| "eval_samples_per_second": 64.952, |
| "eval_steps_per_second": 3.021, |
| "step": 120 |
| }, |
| { |
| "epoch": 61.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3272179365158081, |
| "eval_runtime": 0.6657, |
| "eval_samples_per_second": 64.595, |
| "eval_steps_per_second": 3.004, |
| "step": 122 |
| }, |
| { |
| "epoch": 62.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.401218980550766, |
| "eval_runtime": 0.6635, |
| "eval_samples_per_second": 64.804, |
| "eval_steps_per_second": 3.014, |
| "step": 124 |
| }, |
| { |
| "epoch": 63.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.5794376730918884, |
| "eval_runtime": 0.6788, |
| "eval_samples_per_second": 63.351, |
| "eval_steps_per_second": 2.947, |
| "step": 126 |
| }, |
| { |
| "epoch": 64.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3881092369556427, |
| "eval_runtime": 0.6632, |
| "eval_samples_per_second": 64.835, |
| "eval_steps_per_second": 3.016, |
| "step": 128 |
| }, |
| { |
| "epoch": 65.0, |
| "grad_norm": 3.247230291366577, |
| "learning_rate": 1.9444444444444445e-05, |
| "loss": 0.1168, |
| "step": 130 |
| }, |
| { |
| "epoch": 65.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.2990245819091797, |
| "eval_runtime": 0.6569, |
| "eval_samples_per_second": 65.462, |
| "eval_steps_per_second": 3.045, |
| "step": 130 |
| }, |
| { |
| "epoch": 66.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.3017998933792114, |
| "eval_runtime": 0.666, |
| "eval_samples_per_second": 64.564, |
| "eval_steps_per_second": 3.003, |
| "step": 132 |
| }, |
| { |
| "epoch": 67.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.2560558319091797, |
| "eval_runtime": 0.6618, |
| "eval_samples_per_second": 64.974, |
| "eval_steps_per_second": 3.022, |
| "step": 134 |
| }, |
| { |
| "epoch": 68.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.2920568883419037, |
| "eval_runtime": 0.6666, |
| "eval_samples_per_second": 64.509, |
| "eval_steps_per_second": 3.0, |
| "step": 136 |
| }, |
| { |
| "epoch": 69.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.325835257768631, |
| "eval_runtime": 0.6696, |
| "eval_samples_per_second": 64.221, |
| "eval_steps_per_second": 2.987, |
| "step": 138 |
| }, |
| { |
| "epoch": 70.0, |
| "grad_norm": 4.725736618041992, |
| "learning_rate": 1.6666666666666667e-05, |
| "loss": 0.0846, |
| "step": 140 |
| }, |
| { |
| "epoch": 70.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.29250141978263855, |
| "eval_runtime": 0.6576, |
| "eval_samples_per_second": 65.394, |
| "eval_steps_per_second": 3.042, |
| "step": 140 |
| }, |
| { |
| "epoch": 71.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3073433041572571, |
| "eval_runtime": 0.6724, |
| "eval_samples_per_second": 63.946, |
| "eval_steps_per_second": 2.974, |
| "step": 142 |
| }, |
| { |
| "epoch": 72.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.33179721236228943, |
| "eval_runtime": 0.6603, |
| "eval_samples_per_second": 65.125, |
| "eval_steps_per_second": 3.029, |
| "step": 144 |
| }, |
| { |
| "epoch": 73.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3426916003227234, |
| "eval_runtime": 0.6637, |
| "eval_samples_per_second": 64.785, |
| "eval_steps_per_second": 3.013, |
| "step": 146 |
| }, |
| { |
| "epoch": 74.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3587954342365265, |
| "eval_runtime": 0.6974, |
| "eval_samples_per_second": 61.655, |
| "eval_steps_per_second": 2.868, |
| "step": 148 |
| }, |
| { |
| "epoch": 75.0, |
| "grad_norm": 2.8244574069976807, |
| "learning_rate": 1.388888888888889e-05, |
| "loss": 0.0845, |
| "step": 150 |
| }, |
| { |
| "epoch": 75.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.393873006105423, |
| "eval_runtime": 0.6553, |
| "eval_samples_per_second": 65.622, |
| "eval_steps_per_second": 3.052, |
| "step": 150 |
| }, |
| { |
| "epoch": 76.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.37742680311203003, |
| "eval_runtime": 0.6587, |
| "eval_samples_per_second": 65.284, |
| "eval_steps_per_second": 3.036, |
| "step": 152 |
| }, |
| { |
| "epoch": 77.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.37461453676223755, |
| "eval_runtime": 0.6678, |
| "eval_samples_per_second": 64.39, |
| "eval_steps_per_second": 2.995, |
| "step": 154 |
| }, |
| { |
| "epoch": 78.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.4072588086128235, |
| "eval_runtime": 0.6788, |
| "eval_samples_per_second": 63.346, |
| "eval_steps_per_second": 2.946, |
| "step": 156 |
| }, |
| { |
| "epoch": 79.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.388566255569458, |
| "eval_runtime": 0.6641, |
| "eval_samples_per_second": 64.748, |
| "eval_steps_per_second": 3.012, |
| "step": 158 |
| }, |
| { |
| "epoch": 80.0, |
| "grad_norm": 3.346651077270508, |
| "learning_rate": 1.1111111111111112e-05, |
| "loss": 0.0885, |
| "step": 160 |
| }, |
| { |
| "epoch": 80.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.37651050090789795, |
| "eval_runtime": 0.6646, |
| "eval_samples_per_second": 64.705, |
| "eval_steps_per_second": 3.01, |
| "step": 160 |
| }, |
| { |
| "epoch": 81.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3976840674877167, |
| "eval_runtime": 0.669, |
| "eval_samples_per_second": 64.274, |
| "eval_steps_per_second": 2.989, |
| "step": 162 |
| }, |
| { |
| "epoch": 82.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3863917887210846, |
| "eval_runtime": 0.7197, |
| "eval_samples_per_second": 59.75, |
| "eval_steps_per_second": 2.779, |
| "step": 164 |
| }, |
| { |
| "epoch": 83.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3809366524219513, |
| "eval_runtime": 0.6665, |
| "eval_samples_per_second": 64.517, |
| "eval_steps_per_second": 3.001, |
| "step": 166 |
| }, |
| { |
| "epoch": 84.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.44918695092201233, |
| "eval_runtime": 0.6947, |
| "eval_samples_per_second": 61.893, |
| "eval_steps_per_second": 2.879, |
| "step": 168 |
| }, |
| { |
| "epoch": 85.0, |
| "grad_norm": 5.120132923126221, |
| "learning_rate": 8.333333333333334e-06, |
| "loss": 0.0859, |
| "step": 170 |
| }, |
| { |
| "epoch": 85.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.5478556156158447, |
| "eval_runtime": 0.6681, |
| "eval_samples_per_second": 64.36, |
| "eval_steps_per_second": 2.994, |
| "step": 170 |
| }, |
| { |
| "epoch": 86.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.5372174978256226, |
| "eval_runtime": 0.6829, |
| "eval_samples_per_second": 62.964, |
| "eval_steps_per_second": 2.929, |
| "step": 172 |
| }, |
| { |
| "epoch": 87.0, |
| "eval_accuracy": 0.8604651162790697, |
| "eval_loss": 0.45123860239982605, |
| "eval_runtime": 0.6755, |
| "eval_samples_per_second": 63.653, |
| "eval_steps_per_second": 2.961, |
| "step": 174 |
| }, |
| { |
| "epoch": 88.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.392961323261261, |
| "eval_runtime": 0.6724, |
| "eval_samples_per_second": 63.95, |
| "eval_steps_per_second": 2.974, |
| "step": 176 |
| }, |
| { |
| "epoch": 89.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3842366635799408, |
| "eval_runtime": 0.6851, |
| "eval_samples_per_second": 62.769, |
| "eval_steps_per_second": 2.919, |
| "step": 178 |
| }, |
| { |
| "epoch": 90.0, |
| "grad_norm": 3.358522415161133, |
| "learning_rate": 5.555555555555556e-06, |
| "loss": 0.0764, |
| "step": 180 |
| }, |
| { |
| "epoch": 90.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3807728886604309, |
| "eval_runtime": 0.674, |
| "eval_samples_per_second": 63.803, |
| "eval_steps_per_second": 2.968, |
| "step": 180 |
| }, |
| { |
| "epoch": 91.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.37874656915664673, |
| "eval_runtime": 0.675, |
| "eval_samples_per_second": 63.702, |
| "eval_steps_per_second": 2.963, |
| "step": 182 |
| }, |
| { |
| "epoch": 92.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.38331902027130127, |
| "eval_runtime": 0.6676, |
| "eval_samples_per_second": 64.412, |
| "eval_steps_per_second": 2.996, |
| "step": 184 |
| }, |
| { |
| "epoch": 93.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3912203907966614, |
| "eval_runtime": 0.6718, |
| "eval_samples_per_second": 64.012, |
| "eval_steps_per_second": 2.977, |
| "step": 186 |
| }, |
| { |
| "epoch": 94.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.3887650668621063, |
| "eval_runtime": 0.6768, |
| "eval_samples_per_second": 63.537, |
| "eval_steps_per_second": 2.955, |
| "step": 188 |
| }, |
| { |
| "epoch": 95.0, |
| "grad_norm": 1.5960582494735718, |
| "learning_rate": 2.777777777777778e-06, |
| "loss": 0.0727, |
| "step": 190 |
| }, |
| { |
| "epoch": 95.0, |
| "eval_accuracy": 0.8837209302325582, |
| "eval_loss": 0.3817383944988251, |
| "eval_runtime": 0.6624, |
| "eval_samples_per_second": 64.917, |
| "eval_steps_per_second": 3.019, |
| "step": 190 |
| }, |
| { |
| "epoch": 96.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3707771599292755, |
| "eval_runtime": 0.6663, |
| "eval_samples_per_second": 64.531, |
| "eval_steps_per_second": 3.001, |
| "step": 192 |
| }, |
| { |
| "epoch": 97.0, |
| "eval_accuracy": 0.9069767441860465, |
| "eval_loss": 0.3639983832836151, |
| "eval_runtime": 0.6611, |
| "eval_samples_per_second": 65.04, |
| "eval_steps_per_second": 3.025, |
| "step": 194 |
| }, |
| { |
| "epoch": 98.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.36134788393974304, |
| "eval_runtime": 0.6704, |
| "eval_samples_per_second": 64.143, |
| "eval_steps_per_second": 2.983, |
| "step": 196 |
| }, |
| { |
| "epoch": 99.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3606959581375122, |
| "eval_runtime": 0.6758, |
| "eval_samples_per_second": 63.632, |
| "eval_steps_per_second": 2.96, |
| "step": 198 |
| }, |
| { |
| "epoch": 100.0, |
| "grad_norm": 3.710935592651367, |
| "learning_rate": 0.0, |
| "loss": 0.069, |
| "step": 200 |
| }, |
| { |
| "epoch": 100.0, |
| "eval_accuracy": 0.9302325581395349, |
| "eval_loss": 0.3605453670024872, |
| "eval_runtime": 0.6509, |
| "eval_samples_per_second": 66.067, |
| "eval_steps_per_second": 3.073, |
| "step": 200 |
| }, |
| { |
| "epoch": 100.0, |
| "step": 200, |
| "total_flos": 1.8667587341684736e+18, |
| "train_loss": 0.17176154434680937, |
| "train_runtime": 1200.5875, |
| "train_samples_per_second": 20.074, |
| "train_steps_per_second": 0.167 |
| }, |
| { |
| "epoch": 100.0, |
| "eval_accuracy": 0.9534883720930233, |
| "eval_loss": 0.2685289978981018, |
| "eval_runtime": 0.6895, |
| "eval_samples_per_second": 62.366, |
| "eval_steps_per_second": 2.901, |
| "step": 200 |
| } |
| ], |
| "logging_steps": 10, |
| "max_steps": 200, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 100, |
| "save_steps": 500, |
| "total_flos": 1.8667587341684736e+18, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
