| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 10.0, | |
| "global_step": 560, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 1.4705882352941177e-06, | |
| "loss": 1.9542, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 7.3529411764705884e-06, | |
| "loss": 1.898, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 1.4705882352941177e-05, | |
| "loss": 1.7464, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 2.2058823529411766e-05, | |
| "loss": 1.3278, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 2.9411764705882354e-05, | |
| "loss": 0.8686, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.6764705882352945e-05, | |
| "loss": 1.1514, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 4.411764705882353e-05, | |
| "loss": 0.6278, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 4.9999554100506465e-05, | |
| "loss": 0.8248, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 4.998394928831034e-05, | |
| "loss": 0.514, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 4.9946065404995485e-05, | |
| "loss": 0.3524, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 4.988593623296038e-05, | |
| "loss": 0.3661, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 4.980361539151416e-05, | |
| "loss": 0.2552, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_CAUSATOR_f1": 0.7625000000000001, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8840579710144928, | |
| "eval_CAUSATOR_recall": 0.6703296703296703, | |
| "eval_EXPIRIENCER_f1": 0.8366013071895425, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.8421052631578947, | |
| "eval_EXPIRIENCER_recall": 0.8311688311688312, | |
| "eval_INSTRUMENT_f1": 0.0, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.0, | |
| "eval_INSTRUMENT_recall": 0.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.9523809523809523, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9259259259259259, | |
| "eval_PREDICATE_recall": 0.9803921568627451, | |
| "eval_loss": 0.3471083343029022, | |
| "eval_overall_accuracy": 0.9202855443188578, | |
| "eval_overall_f1": 0.8538899430740038, | |
| "eval_overall_precision": 0.8893280632411067, | |
| "eval_overall_recall": 0.8211678832116789, | |
| "eval_runtime": 0.5374, | |
| "eval_samples_per_second": 184.214, | |
| "eval_steps_per_second": 24.19, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 4.969917628906234e-05, | |
| "loss": 0.22, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 4.9572712057646e-05, | |
| "loss": 0.2635, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 4.9424335469892594e-05, | |
| "loss": 0.2427, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 4.925417883845266e-05, | |
| "loss": 0.2734, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 4.9062393898011904e-05, | |
| "loss": 0.2406, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 4.884915166998405e-05, | |
| "loss": 0.2305, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "learning_rate": 4.8614642310004974e-05, | |
| "loss": 0.1872, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 4.835907493836421e-05, | |
| "loss": 0.1041, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 4.808267745352502e-05, | |
| "loss": 0.1932, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 4.778569632889919e-05, | |
| "loss": 0.1829, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 4.746839639305808e-05, | |
| "loss": 0.2385, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_CAUSATOR_f1": 0.8402366863905325, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.9102564102564102, | |
| "eval_CAUSATOR_recall": 0.7802197802197802, | |
| "eval_EXPIRIENCER_f1": 0.9554140127388535, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9375, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.4, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.2857142857142857, | |
| "eval_INSTRUMENT_recall": 0.6666666666666666, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.9611650485436893, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9519230769230769, | |
| "eval_PREDICATE_recall": 0.9705882352941176, | |
| "eval_loss": 0.1607949137687683, | |
| "eval_overall_accuracy": 0.9553837001784652, | |
| "eval_overall_f1": 0.9097605893186002, | |
| "eval_overall_precision": 0.9182156133828996, | |
| "eval_overall_recall": 0.9014598540145985, | |
| "eval_runtime": 0.5406, | |
| "eval_samples_per_second": 183.129, | |
| "eval_steps_per_second": 24.047, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 4.713106059357554e-05, | |
| "loss": 0.1171, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 4.6773989744713596e-05, | |
| "loss": 0.1598, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 4.639750225917573e-05, | |
| "loss": 0.0799, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 4.600193386416697e-05, | |
| "loss": 0.0935, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "learning_rate": 4.558763730201413e-05, | |
| "loss": 0.1022, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 4.515498201561296e-05, | |
| "loss": 0.1408, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 4.470435381898287e-05, | |
| "loss": 0.1019, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "learning_rate": 4.423615455322293e-05, | |
| "loss": 0.0569, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 4.375080172817591e-05, | |
| "loss": 0.0964, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 4.324872815012005e-05, | |
| "loss": 0.0827, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 4.273038153582034e-05, | |
| "loss": 0.0367, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_CAUSATOR_f1": 0.8439306358381503, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8902439024390244, | |
| "eval_CAUSATOR_recall": 0.8021978021978022, | |
| "eval_EXPIRIENCER_f1": 0.9554140127388535, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9375, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.6, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.42857142857142855, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.975609756097561, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.970873786407767, | |
| "eval_PREDICATE_recall": 0.9803921568627451, | |
| "eval_loss": 0.13108175992965698, | |
| "eval_overall_accuracy": 0.9672813801308745, | |
| "eval_overall_f1": 0.9194139194139195, | |
| "eval_overall_precision": 0.9227941176470589, | |
| "eval_overall_recall": 0.916058394160584, | |
| "eval_runtime": 1.832, | |
| "eval_samples_per_second": 54.038, | |
| "eval_steps_per_second": 7.096, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 4.21962241132837e-05, | |
| "loss": 0.0686, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 4.164673220957387e-05, | |
| "loss": 0.0729, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 4.108239582605374e-05, | |
| "loss": 0.05, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 4.050371820143384e-05, | |
| "loss": 0.052, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "learning_rate": 3.991121536301653e-05, | |
| "loss": 0.0798, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "learning_rate": 3.9305415666536236e-05, | |
| "loss": 0.0468, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 3.868685932500595e-05, | |
| "loss": 0.0489, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "learning_rate": 3.80560979269902e-05, | |
| "loss": 0.0377, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 3.7413693944733995e-05, | |
| "loss": 0.0648, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "learning_rate": 3.676022023258643e-05, | |
| "loss": 0.0657, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "learning_rate": 3.609625951616623e-05, | |
| "loss": 0.0494, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_CAUSATOR_f1": 0.8021390374331551, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.78125, | |
| "eval_CAUSATOR_recall": 0.8241758241758241, | |
| "eval_EXPIRIENCER_f1": 0.9358974358974359, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9240506329113924, | |
| "eval_EXPIRIENCER_recall": 0.948051948051948, | |
| "eval_INSTRUMENT_f1": 0.6, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.42857142857142855, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.966183574879227, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9523809523809523, | |
| "eval_PREDICATE_recall": 0.9803921568627451, | |
| "eval_loss": 0.1507418304681778, | |
| "eval_overall_accuracy": 0.9637120761451516, | |
| "eval_overall_f1": 0.8948306595365421, | |
| "eval_overall_precision": 0.8745644599303136, | |
| "eval_overall_recall": 0.916058394160584, | |
| "eval_runtime": 0.5441, | |
| "eval_samples_per_second": 181.955, | |
| "eval_steps_per_second": 23.893, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "learning_rate": 3.5422403872724686e-05, | |
| "loss": 0.043, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 3.473925420316946e-05, | |
| "loss": 0.0488, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "learning_rate": 3.404741969621996e-05, | |
| "loss": 0.0228, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "learning_rate": 3.334751728517223e-05, | |
| "loss": 0.0117, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "learning_rate": 3.264017109775771e-05, | |
| "loss": 0.055, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "learning_rate": 3.1926011899586485e-05, | |
| "loss": 0.0133, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 3.120567653167127e-05, | |
| "loss": 0.0342, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 3.0479807342533722e-05, | |
| "loss": 0.0271, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 2.9749051615399637e-05, | |
| "loss": 0.0331, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 4.82, | |
| "learning_rate": 2.9014060990993496e-05, | |
| "loss": 0.043, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 4.91, | |
| "learning_rate": 2.827549088644748e-05, | |
| "loss": 0.0283, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 2.7533999910842766e-05, | |
| "loss": 0.0699, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_CAUSATOR_f1": 0.8089887640449438, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8275862068965517, | |
| "eval_CAUSATOR_recall": 0.7912087912087912, | |
| "eval_EXPIRIENCER_f1": 0.9382716049382716, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.8941176470588236, | |
| "eval_EXPIRIENCER_recall": 0.987012987012987, | |
| "eval_INSTRUMENT_f1": 0.5454545454545454, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.375, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.961904761904762, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9351851851851852, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.18301859498023987, | |
| "eval_overall_accuracy": 0.9559785841760856, | |
| "eval_overall_f1": 0.896797153024911, | |
| "eval_overall_precision": 0.875, | |
| "eval_overall_recall": 0.9197080291970803, | |
| "eval_runtime": 0.5444, | |
| "eval_samples_per_second": 181.842, | |
| "eval_steps_per_second": 23.878, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 5.09, | |
| "learning_rate": 2.6790249277904582e-05, | |
| "loss": 0.0288, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "learning_rate": 2.6044902216374496e-05, | |
| "loss": 0.0152, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "learning_rate": 2.5298623378585884e-05, | |
| "loss": 0.011, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "learning_rate": 2.4552078247770007e-05, | |
| "loss": 0.0151, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "learning_rate": 2.3805932544621002e-05, | |
| "loss": 0.0082, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "learning_rate": 2.3060851633649245e-05, | |
| "loss": 0.0426, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "learning_rate": 2.2317499929852273e-05, | |
| "loss": 0.0476, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 2.1576540306232418e-05, | |
| "loss": 0.0155, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "learning_rate": 2.0838633502689545e-05, | |
| "loss": 0.0409, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 5.89, | |
| "learning_rate": 2.0104437536815883e-05, | |
| "loss": 0.0257, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "learning_rate": 1.9374607117118485e-05, | |
| "loss": 0.0352, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_CAUSATOR_f1": 0.8148148148148148, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.7857142857142857, | |
| "eval_CAUSATOR_recall": 0.8461538461538461, | |
| "eval_EXPIRIENCER_f1": 0.9440993788819876, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9047619047619048, | |
| "eval_EXPIRIENCER_recall": 0.987012987012987, | |
| "eval_INSTRUMENT_f1": 0.5454545454545454, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.375, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.957345971563981, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.926605504587156, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.19936639070510864, | |
| "eval_overall_accuracy": 0.9571683521713266, | |
| "eval_overall_f1": 0.8970331588132635, | |
| "eval_overall_precision": 0.8595317725752508, | |
| "eval_overall_recall": 0.9379562043795621, | |
| "eval_runtime": 0.5401, | |
| "eval_samples_per_second": 183.296, | |
| "eval_steps_per_second": 24.069, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 6.07, | |
| "learning_rate": 1.864979305919248e-05, | |
| "loss": 0.0297, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 6.16, | |
| "learning_rate": 1.7930641705365836e-05, | |
| "loss": 0.0216, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "learning_rate": 1.721779434833299e-05, | |
| "loss": 0.0069, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "learning_rate": 1.651188665929151e-05, | |
| "loss": 0.0149, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "learning_rate": 1.5813548121091622e-05, | |
| "loss": 0.013, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 6.52, | |
| "learning_rate": 1.512340146690402e-05, | |
| "loss": 0.0115, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "learning_rate": 1.4442062124906763e-05, | |
| "loss": 0.0232, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "learning_rate": 1.3770137669486171e-05, | |
| "loss": 0.0046, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 1.3108227279441243e-05, | |
| "loss": 0.012, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "learning_rate": 1.2456921203674715e-05, | |
| "loss": 0.0322, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "learning_rate": 1.1816800234847303e-05, | |
| "loss": 0.0186, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_CAUSATOR_f1": 0.8555555555555556, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8651685393258427, | |
| "eval_CAUSATOR_recall": 0.8461538461538461, | |
| "eval_EXPIRIENCER_f1": 0.9433962264150942, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9146341463414634, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.5454545454545454, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.375, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.961904761904762, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9351851851851852, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.16573503613471985, | |
| "eval_overall_accuracy": 0.9672813801308745, | |
| "eval_overall_f1": 0.912655971479501, | |
| "eval_overall_precision": 0.89198606271777, | |
| "eval_overall_recall": 0.9343065693430657, | |
| "eval_runtime": 0.5399, | |
| "eval_samples_per_second": 183.354, | |
| "eval_steps_per_second": 24.077, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "learning_rate": 1.1188435191464303e-05, | |
| "loss": 0.0093, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 7.14, | |
| "learning_rate": 1.0572386408856552e-05, | |
| "loss": 0.0075, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "learning_rate": 9.969203239509592e-06, | |
| "loss": 0.0039, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 7.32, | |
| "learning_rate": 9.379423563186652e-06, | |
| "loss": 0.0124, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 7.41, | |
| "learning_rate": 8.803573307282209e-06, | |
| "loss": 0.0167, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 8.242165977833974e-06, | |
| "loss": 0.0106, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "learning_rate": 7.695702201611338e-06, | |
| "loss": 0.0118, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "learning_rate": 7.1646692796888456e-06, | |
| "loss": 0.0044, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 7.77, | |
| "learning_rate": 6.649540752902544e-06, | |
| "loss": 0.0086, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "learning_rate": 6.150775979576906e-06, | |
| "loss": 0.0207, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 7.95, | |
| "learning_rate": 5.668819725898747e-06, | |
| "loss": 0.0052, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_CAUSATOR_f1": 0.850828729281768, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8555555555555555, | |
| "eval_CAUSATOR_recall": 0.8461538461538461, | |
| "eval_EXPIRIENCER_f1": 0.949367088607595, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9259259259259259, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.5454545454545454, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.375, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.961904761904762, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9351851851851852, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.17156818509101868, | |
| "eval_overall_accuracy": 0.9672813801308745, | |
| "eval_overall_f1": 0.912655971479501, | |
| "eval_overall_precision": 0.89198606271777, | |
| "eval_overall_recall": 0.9343065693430657, | |
| "eval_runtime": 0.5406, | |
| "eval_samples_per_second": 183.131, | |
| "eval_steps_per_second": 24.047, | |
| "step": 448 | |
| }, | |
| { | |
| "epoch": 8.04, | |
| "learning_rate": 5.204101769303474e-06, | |
| "loss": 0.0059, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "learning_rate": 4.757036515227381e-06, | |
| "loss": 0.0036, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 8.21, | |
| "learning_rate": 4.328022627567657e-06, | |
| "loss": 0.0042, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 8.3, | |
| "learning_rate": 3.91744267317968e-06, | |
| "loss": 0.0072, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 8.39, | |
| "learning_rate": 3.5256627807286085e-06, | |
| "loss": 0.0135, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 8.48, | |
| "learning_rate": 3.1530323141995553e-06, | |
| "loss": 0.0042, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "learning_rate": 2.7998835613573137e-06, | |
| "loss": 0.0139, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "learning_rate": 2.4665314374336335e-06, | |
| "loss": 0.004, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "learning_rate": 2.153273204306153e-06, | |
| "loss": 0.0181, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 8.84, | |
| "learning_rate": 1.8603882054194915e-06, | |
| "loss": 0.0089, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 8.93, | |
| "learning_rate": 1.5881376166848149e-06, | |
| "loss": 0.0094, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_CAUSATOR_f1": 0.839779005524862, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8444444444444444, | |
| "eval_CAUSATOR_recall": 0.8351648351648352, | |
| "eval_EXPIRIENCER_f1": 0.949367088607595, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9259259259259259, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.6, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.42857142857142855, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.961904761904762, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9351851851851852, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.17145974934101105, | |
| "eval_overall_accuracy": 0.966686496133254, | |
| "eval_overall_f1": 0.9107142857142856, | |
| "eval_overall_precision": 0.8916083916083916, | |
| "eval_overall_recall": 0.9306569343065694, | |
| "eval_runtime": 0.5348, | |
| "eval_samples_per_second": 185.116, | |
| "eval_steps_per_second": 24.308, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 9.02, | |
| "learning_rate": 1.3367642135800329e-06, | |
| "loss": 0.0039, | |
| "step": 505 | |
| }, | |
| { | |
| "epoch": 9.11, | |
| "learning_rate": 1.106492154658323e-06, | |
| "loss": 0.0056, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "learning_rate": 8.975267816580201e-07, | |
| "loss": 0.0111, | |
| "step": 515 | |
| }, | |
| { | |
| "epoch": 9.29, | |
| "learning_rate": 7.100544363921324e-07, | |
| "loss": 0.0085, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "learning_rate": 5.442422945807462e-07, | |
| "loss": 0.0108, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 9.46, | |
| "learning_rate": 4.002382167745428e-07, | |
| "loss": 0.0049, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "learning_rate": 2.781706165022879e-07, | |
| "loss": 0.0048, | |
| "step": 535 | |
| }, | |
| { | |
| "epoch": 9.64, | |
| "learning_rate": 1.7814834575997363e-07, | |
| "loss": 0.0175, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "learning_rate": 1.0026059794363551e-07, | |
| "loss": 0.0047, | |
| "step": 545 | |
| }, | |
| { | |
| "epoch": 9.82, | |
| "learning_rate": 4.457682831244259e-08, | |
| "loss": 0.0063, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 9.91, | |
| "learning_rate": 1.114669205298513e-08, | |
| "loss": 0.0028, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.0078, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_CAUSATOR_f1": 0.8444444444444446, | |
| "eval_CAUSATOR_number": 91, | |
| "eval_CAUSATOR_precision": 0.8539325842696629, | |
| "eval_CAUSATOR_recall": 0.8351648351648352, | |
| "eval_EXPIRIENCER_f1": 0.949367088607595, | |
| "eval_EXPIRIENCER_number": 77, | |
| "eval_EXPIRIENCER_precision": 0.9259259259259259, | |
| "eval_EXPIRIENCER_recall": 0.974025974025974, | |
| "eval_INSTRUMENT_f1": 0.5454545454545454, | |
| "eval_INSTRUMENT_number": 3, | |
| "eval_INSTRUMENT_precision": 0.375, | |
| "eval_INSTRUMENT_recall": 1.0, | |
| "eval_OTHER_f1": 0.0, | |
| "eval_OTHER_number": 1, | |
| "eval_OTHER_precision": 0.0, | |
| "eval_OTHER_recall": 0.0, | |
| "eval_PREDICATE_f1": 0.961904761904762, | |
| "eval_PREDICATE_number": 102, | |
| "eval_PREDICATE_precision": 0.9351851851851852, | |
| "eval_PREDICATE_recall": 0.9901960784313726, | |
| "eval_loss": 0.17230771481990814, | |
| "eval_overall_accuracy": 0.966686496133254, | |
| "eval_overall_f1": 0.9107142857142856, | |
| "eval_overall_precision": 0.8916083916083916, | |
| "eval_overall_recall": 0.9306569343065694, | |
| "eval_runtime": 0.5403, | |
| "eval_samples_per_second": 183.236, | |
| "eval_steps_per_second": 24.061, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 560, | |
| "total_flos": 130378685407080.0, | |
| "train_loss": 0.13590615599782074, | |
| "train_runtime": 186.3702, | |
| "train_samples_per_second": 47.54, | |
| "train_steps_per_second": 3.005 | |
| } | |
| ], | |
| "max_steps": 560, | |
| "num_train_epochs": 10, | |
| "total_flos": 130378685407080.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |