| { |
| "best_metric": 2.86479115486145, |
| "best_model_checkpoint": "/content/Train/checkpoint-1400", |
| "epoch": 2.0, |
| "global_step": 1556, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.01, |
| "learning_rate": 0.0001994858611825193, |
| "loss": 3.2909, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.03, |
| "learning_rate": 0.00019820051413881748, |
| "loss": 3.2775, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.04, |
| "learning_rate": 0.0001969151670951157, |
| "loss": 3.4685, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.05, |
| "learning_rate": 0.00019562982005141388, |
| "loss": 3.1491, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.06, |
| "learning_rate": 0.00019447300771208227, |
| "loss": 3.5003, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 0.00019318766066838048, |
| "loss": 3.2438, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.09, |
| "learning_rate": 0.00019190231362467867, |
| "loss": 3.2587, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.1, |
| "learning_rate": 0.00019061696658097688, |
| "loss": 3.8744, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 0.00018933161953727507, |
| "loss": 3.5397, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.13, |
| "learning_rate": 0.00018804627249357326, |
| "loss": 3.2433, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.13, |
| "eval_accuracy": 0.046153846153846156, |
| "eval_loss": 3.216766834259033, |
| "eval_runtime": 4.8707, |
| "eval_samples_per_second": 80.071, |
| "eval_steps_per_second": 10.06, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.14, |
| "learning_rate": 0.00018676092544987147, |
| "loss": 3.1843, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.15, |
| "learning_rate": 0.00018547557840616966, |
| "loss": 3.1816, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.17, |
| "learning_rate": 0.00018419023136246788, |
| "loss": 3.247, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 0.00018290488431876606, |
| "loss": 3.2118, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.19, |
| "learning_rate": 0.00018161953727506428, |
| "loss": 3.3541, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.21, |
| "learning_rate": 0.0001803341902313625, |
| "loss": 3.3353, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.22, |
| "learning_rate": 0.00017904884318766068, |
| "loss": 3.4277, |
| "step": 170 |
| }, |
| { |
| "epoch": 0.23, |
| "learning_rate": 0.0001777634961439589, |
| "loss": 3.2286, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 0.00017647814910025708, |
| "loss": 3.2597, |
| "step": 190 |
| }, |
| { |
| "epoch": 0.26, |
| "learning_rate": 0.00017519280205655527, |
| "loss": 3.2076, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.26, |
| "eval_accuracy": 0.0641025641025641, |
| "eval_loss": 3.2063100337982178, |
| "eval_runtime": 4.8973, |
| "eval_samples_per_second": 79.635, |
| "eval_steps_per_second": 10.005, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.27, |
| "learning_rate": 0.00017390745501285349, |
| "loss": 3.3286, |
| "step": 210 |
| }, |
| { |
| "epoch": 0.28, |
| "learning_rate": 0.00017262210796915167, |
| "loss": 3.3623, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.3, |
| "learning_rate": 0.0001713367609254499, |
| "loss": 3.1635, |
| "step": 230 |
| }, |
| { |
| "epoch": 0.31, |
| "learning_rate": 0.00017005141388174808, |
| "loss": 3.3247, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.32, |
| "learning_rate": 0.0001687660668380463, |
| "loss": 3.4129, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 0.00016748071979434448, |
| "loss": 3.2366, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.35, |
| "learning_rate": 0.00016619537275064267, |
| "loss": 3.164, |
| "step": 270 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 0.00016491002570694088, |
| "loss": 3.1943, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 0.00016362467866323907, |
| "loss": 3.3545, |
| "step": 290 |
| }, |
| { |
| "epoch": 0.39, |
| "learning_rate": 0.00016233933161953728, |
| "loss": 3.136, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.39, |
| "eval_accuracy": 0.10512820512820513, |
| "eval_loss": 3.193809986114502, |
| "eval_runtime": 5.0459, |
| "eval_samples_per_second": 77.29, |
| "eval_steps_per_second": 9.711, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.4, |
| "learning_rate": 0.0001610539845758355, |
| "loss": 3.3411, |
| "step": 310 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 0.00015976863753213369, |
| "loss": 3.1711, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.42, |
| "learning_rate": 0.0001584832904884319, |
| "loss": 3.2203, |
| "step": 330 |
| }, |
| { |
| "epoch": 0.44, |
| "learning_rate": 0.0001571979434447301, |
| "loss": 3.3112, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 0.00015591259640102828, |
| "loss": 3.3413, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.46, |
| "learning_rate": 0.0001546272493573265, |
| "loss": 3.3321, |
| "step": 360 |
| }, |
| { |
| "epoch": 0.48, |
| "learning_rate": 0.00015334190231362468, |
| "loss": 3.2329, |
| "step": 370 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 0.0001520565552699229, |
| "loss": 3.1901, |
| "step": 380 |
| }, |
| { |
| "epoch": 0.5, |
| "learning_rate": 0.00015077120822622108, |
| "loss": 3.1793, |
| "step": 390 |
| }, |
| { |
| "epoch": 0.51, |
| "learning_rate": 0.0001494858611825193, |
| "loss": 3.2283, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.51, |
| "eval_accuracy": 0.1076923076923077, |
| "eval_loss": 3.1784756183624268, |
| "eval_runtime": 4.9684, |
| "eval_samples_per_second": 78.496, |
| "eval_steps_per_second": 9.862, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 0.00014820051413881748, |
| "loss": 3.3054, |
| "step": 410 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 0.00014691516709511567, |
| "loss": 3.1213, |
| "step": 420 |
| }, |
| { |
| "epoch": 0.55, |
| "learning_rate": 0.00014562982005141388, |
| "loss": 3.1617, |
| "step": 430 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 0.0001443444730077121, |
| "loss": 3.3134, |
| "step": 440 |
| }, |
| { |
| "epoch": 0.58, |
| "learning_rate": 0.0001430591259640103, |
| "loss": 3.1977, |
| "step": 450 |
| }, |
| { |
| "epoch": 0.59, |
| "learning_rate": 0.0001417737789203085, |
| "loss": 3.4898, |
| "step": 460 |
| }, |
| { |
| "epoch": 0.6, |
| "learning_rate": 0.0001404884318766067, |
| "loss": 3.215, |
| "step": 470 |
| }, |
| { |
| "epoch": 0.62, |
| "learning_rate": 0.0001392030848329049, |
| "loss": 3.1978, |
| "step": 480 |
| }, |
| { |
| "epoch": 0.63, |
| "learning_rate": 0.0001379177377892031, |
| "loss": 3.1939, |
| "step": 490 |
| }, |
| { |
| "epoch": 0.64, |
| "learning_rate": 0.0001366323907455013, |
| "loss": 3.1354, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.64, |
| "eval_accuracy": 0.1282051282051282, |
| "eval_loss": 3.1671173572540283, |
| "eval_runtime": 4.8377, |
| "eval_samples_per_second": 80.617, |
| "eval_steps_per_second": 10.129, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.66, |
| "learning_rate": 0.0001353470437017995, |
| "loss": 3.0448, |
| "step": 510 |
| }, |
| { |
| "epoch": 0.67, |
| "learning_rate": 0.00013406169665809768, |
| "loss": 3.4826, |
| "step": 520 |
| }, |
| { |
| "epoch": 0.68, |
| "learning_rate": 0.0001327763496143959, |
| "loss": 3.2411, |
| "step": 530 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 0.00013149100257069408, |
| "loss": 3.0833, |
| "step": 540 |
| }, |
| { |
| "epoch": 0.71, |
| "learning_rate": 0.0001302056555269923, |
| "loss": 3.2685, |
| "step": 550 |
| }, |
| { |
| "epoch": 0.72, |
| "learning_rate": 0.00012892030848329049, |
| "loss": 3.0119, |
| "step": 560 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 0.00012763496143958867, |
| "loss": 3.1179, |
| "step": 570 |
| }, |
| { |
| "epoch": 0.75, |
| "learning_rate": 0.00012634961439588692, |
| "loss": 3.1146, |
| "step": 580 |
| }, |
| { |
| "epoch": 0.76, |
| "learning_rate": 0.0001250642673521851, |
| "loss": 3.2957, |
| "step": 590 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 0.0001237789203084833, |
| "loss": 3.3212, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.77, |
| "eval_accuracy": 0.15897435897435896, |
| "eval_loss": 3.1384565830230713, |
| "eval_runtime": 4.7255, |
| "eval_samples_per_second": 82.53, |
| "eval_steps_per_second": 10.369, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.78, |
| "learning_rate": 0.0001224935732647815, |
| "loss": 3.1221, |
| "step": 610 |
| }, |
| { |
| "epoch": 0.8, |
| "learning_rate": 0.0001212082262210797, |
| "loss": 3.4999, |
| "step": 620 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 0.0001199228791773779, |
| "loss": 3.2125, |
| "step": 630 |
| }, |
| { |
| "epoch": 0.82, |
| "learning_rate": 0.0001186375321336761, |
| "loss": 3.1819, |
| "step": 640 |
| }, |
| { |
| "epoch": 0.84, |
| "learning_rate": 0.0001173521850899743, |
| "loss": 3.2923, |
| "step": 650 |
| }, |
| { |
| "epoch": 0.85, |
| "learning_rate": 0.0001160668380462725, |
| "loss": 3.3054, |
| "step": 660 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 0.0001147814910025707, |
| "loss": 3.0682, |
| "step": 670 |
| }, |
| { |
| "epoch": 0.87, |
| "learning_rate": 0.0001134961439588689, |
| "loss": 3.111, |
| "step": 680 |
| }, |
| { |
| "epoch": 0.89, |
| "learning_rate": 0.00011221079691516709, |
| "loss": 3.2225, |
| "step": 690 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 0.00011092544987146529, |
| "loss": 3.3626, |
| "step": 700 |
| }, |
| { |
| "epoch": 0.9, |
| "eval_accuracy": 0.2128205128205128, |
| "eval_loss": 3.1268680095672607, |
| "eval_runtime": 4.7092, |
| "eval_samples_per_second": 82.816, |
| "eval_steps_per_second": 10.405, |
| "step": 700 |
| }, |
| { |
| "epoch": 0.91, |
| "learning_rate": 0.00010964010282776349, |
| "loss": 3.1624, |
| "step": 710 |
| }, |
| { |
| "epoch": 0.93, |
| "learning_rate": 0.00010835475578406172, |
| "loss": 3.127, |
| "step": 720 |
| }, |
| { |
| "epoch": 0.94, |
| "learning_rate": 0.0001070694087403599, |
| "loss": 3.3503, |
| "step": 730 |
| }, |
| { |
| "epoch": 0.95, |
| "learning_rate": 0.0001057840616966581, |
| "loss": 2.9137, |
| "step": 740 |
| }, |
| { |
| "epoch": 0.96, |
| "learning_rate": 0.00010462724935732648, |
| "loss": 3.2102, |
| "step": 750 |
| }, |
| { |
| "epoch": 0.98, |
| "learning_rate": 0.00010334190231362468, |
| "loss": 3.3043, |
| "step": 760 |
| }, |
| { |
| "epoch": 0.99, |
| "learning_rate": 0.00010205655526992288, |
| "loss": 3.3108, |
| "step": 770 |
| }, |
| { |
| "epoch": 1.0, |
| "learning_rate": 0.00010077120822622108, |
| "loss": 3.3166, |
| "step": 780 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 9.948586118251929e-05, |
| "loss": 2.9514, |
| "step": 790 |
| }, |
| { |
| "epoch": 1.03, |
| "learning_rate": 9.820051413881749e-05, |
| "loss": 3.1565, |
| "step": 800 |
| }, |
| { |
| "epoch": 1.03, |
| "eval_accuracy": 0.1564102564102564, |
| "eval_loss": 3.0775740146636963, |
| "eval_runtime": 5.0971, |
| "eval_samples_per_second": 76.514, |
| "eval_steps_per_second": 9.613, |
| "step": 800 |
| }, |
| { |
| "epoch": 1.04, |
| "learning_rate": 9.691516709511569e-05, |
| "loss": 3.0278, |
| "step": 810 |
| }, |
| { |
| "epoch": 1.05, |
| "learning_rate": 9.562982005141389e-05, |
| "loss": 2.931, |
| "step": 820 |
| }, |
| { |
| "epoch": 1.07, |
| "learning_rate": 9.434447300771209e-05, |
| "loss": 3.0111, |
| "step": 830 |
| }, |
| { |
| "epoch": 1.08, |
| "learning_rate": 9.305912596401029e-05, |
| "loss": 3.0158, |
| "step": 840 |
| }, |
| { |
| "epoch": 1.09, |
| "learning_rate": 9.177377892030848e-05, |
| "loss": 3.2079, |
| "step": 850 |
| }, |
| { |
| "epoch": 1.11, |
| "learning_rate": 9.048843187660668e-05, |
| "loss": 3.0987, |
| "step": 860 |
| }, |
| { |
| "epoch": 1.12, |
| "learning_rate": 8.92030848329049e-05, |
| "loss": 3.0854, |
| "step": 870 |
| }, |
| { |
| "epoch": 1.13, |
| "learning_rate": 8.79177377892031e-05, |
| "loss": 3.2495, |
| "step": 880 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 8.66323907455013e-05, |
| "loss": 3.018, |
| "step": 890 |
| }, |
| { |
| "epoch": 1.16, |
| "learning_rate": 8.534704370179948e-05, |
| "loss": 3.0873, |
| "step": 900 |
| }, |
| { |
| "epoch": 1.16, |
| "eval_accuracy": 0.21794871794871795, |
| "eval_loss": 3.0445914268493652, |
| "eval_runtime": 4.9901, |
| "eval_samples_per_second": 78.155, |
| "eval_steps_per_second": 9.819, |
| "step": 900 |
| }, |
| { |
| "epoch": 1.17, |
| "learning_rate": 8.406169665809769e-05, |
| "loss": 3.0805, |
| "step": 910 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 8.277634961439589e-05, |
| "loss": 3.2969, |
| "step": 920 |
| }, |
| { |
| "epoch": 1.2, |
| "learning_rate": 8.149100257069409e-05, |
| "loss": 3.1201, |
| "step": 930 |
| }, |
| { |
| "epoch": 1.21, |
| "learning_rate": 8.02056555269923e-05, |
| "loss": 3.2055, |
| "step": 940 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 7.892030848329049e-05, |
| "loss": 3.1691, |
| "step": 950 |
| }, |
| { |
| "epoch": 1.23, |
| "learning_rate": 7.763496143958869e-05, |
| "loss": 2.9756, |
| "step": 960 |
| }, |
| { |
| "epoch": 1.25, |
| "learning_rate": 7.634961439588689e-05, |
| "loss": 3.1635, |
| "step": 970 |
| }, |
| { |
| "epoch": 1.26, |
| "learning_rate": 7.50642673521851e-05, |
| "loss": 2.9979, |
| "step": 980 |
| }, |
| { |
| "epoch": 1.27, |
| "learning_rate": 7.37789203084833e-05, |
| "loss": 3.1009, |
| "step": 990 |
| }, |
| { |
| "epoch": 1.29, |
| "learning_rate": 7.24935732647815e-05, |
| "loss": 2.9991, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.29, |
| "eval_accuracy": 0.2743589743589744, |
| "eval_loss": 2.994030475616455, |
| "eval_runtime": 5.0834, |
| "eval_samples_per_second": 76.721, |
| "eval_steps_per_second": 9.639, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 7.12082262210797e-05, |
| "loss": 3.0882, |
| "step": 1010 |
| }, |
| { |
| "epoch": 1.31, |
| "learning_rate": 6.99228791773779e-05, |
| "loss": 3.0527, |
| "step": 1020 |
| }, |
| { |
| "epoch": 1.32, |
| "learning_rate": 6.86375321336761e-05, |
| "loss": 2.9187, |
| "step": 1030 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 6.73521850899743e-05, |
| "loss": 3.011, |
| "step": 1040 |
| }, |
| { |
| "epoch": 1.35, |
| "learning_rate": 6.606683804627249e-05, |
| "loss": 3.138, |
| "step": 1050 |
| }, |
| { |
| "epoch": 1.36, |
| "learning_rate": 6.478149100257069e-05, |
| "loss": 3.0516, |
| "step": 1060 |
| }, |
| { |
| "epoch": 1.38, |
| "learning_rate": 6.349614395886889e-05, |
| "loss": 2.9856, |
| "step": 1070 |
| }, |
| { |
| "epoch": 1.39, |
| "learning_rate": 6.22107969151671e-05, |
| "loss": 2.9641, |
| "step": 1080 |
| }, |
| { |
| "epoch": 1.4, |
| "learning_rate": 6.09254498714653e-05, |
| "loss": 2.9252, |
| "step": 1090 |
| }, |
| { |
| "epoch": 1.41, |
| "learning_rate": 5.96401028277635e-05, |
| "loss": 2.9279, |
| "step": 1100 |
| }, |
| { |
| "epoch": 1.41, |
| "eval_accuracy": 0.2717948717948718, |
| "eval_loss": 2.9565303325653076, |
| "eval_runtime": 4.7654, |
| "eval_samples_per_second": 81.839, |
| "eval_steps_per_second": 10.282, |
| "step": 1100 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 5.83547557840617e-05, |
| "loss": 3.1913, |
| "step": 1110 |
| }, |
| { |
| "epoch": 1.44, |
| "learning_rate": 5.7069408740359896e-05, |
| "loss": 2.8937, |
| "step": 1120 |
| }, |
| { |
| "epoch": 1.45, |
| "learning_rate": 5.57840616966581e-05, |
| "loss": 3.0555, |
| "step": 1130 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 5.44987146529563e-05, |
| "loss": 3.0048, |
| "step": 1140 |
| }, |
| { |
| "epoch": 1.48, |
| "learning_rate": 5.3213367609254506e-05, |
| "loss": 3.1386, |
| "step": 1150 |
| }, |
| { |
| "epoch": 1.49, |
| "learning_rate": 5.192802056555271e-05, |
| "loss": 3.1599, |
| "step": 1160 |
| }, |
| { |
| "epoch": 1.5, |
| "learning_rate": 5.06426735218509e-05, |
| "loss": 3.1027, |
| "step": 1170 |
| }, |
| { |
| "epoch": 1.52, |
| "learning_rate": 4.93573264781491e-05, |
| "loss": 2.7227, |
| "step": 1180 |
| }, |
| { |
| "epoch": 1.53, |
| "learning_rate": 4.80719794344473e-05, |
| "loss": 3.2903, |
| "step": 1190 |
| }, |
| { |
| "epoch": 1.54, |
| "learning_rate": 4.6786632390745505e-05, |
| "loss": 2.8635, |
| "step": 1200 |
| }, |
| { |
| "epoch": 1.54, |
| "eval_accuracy": 0.27692307692307694, |
| "eval_loss": 2.9233222007751465, |
| "eval_runtime": 4.7217, |
| "eval_samples_per_second": 82.598, |
| "eval_steps_per_second": 10.378, |
| "step": 1200 |
| }, |
| { |
| "epoch": 1.56, |
| "learning_rate": 4.5501285347043706e-05, |
| "loss": 3.4916, |
| "step": 1210 |
| }, |
| { |
| "epoch": 1.57, |
| "learning_rate": 4.42159383033419e-05, |
| "loss": 2.9104, |
| "step": 1220 |
| }, |
| { |
| "epoch": 1.58, |
| "learning_rate": 4.293059125964011e-05, |
| "loss": 3.0576, |
| "step": 1230 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 4.16452442159383e-05, |
| "loss": 2.8137, |
| "step": 1240 |
| }, |
| { |
| "epoch": 1.61, |
| "learning_rate": 4.0359897172236504e-05, |
| "loss": 3.1792, |
| "step": 1250 |
| }, |
| { |
| "epoch": 1.62, |
| "learning_rate": 3.9074550128534705e-05, |
| "loss": 3.0377, |
| "step": 1260 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 3.7789203084832907e-05, |
| "loss": 3.1019, |
| "step": 1270 |
| }, |
| { |
| "epoch": 1.65, |
| "learning_rate": 3.650385604113111e-05, |
| "loss": 2.9101, |
| "step": 1280 |
| }, |
| { |
| "epoch": 1.66, |
| "learning_rate": 3.521850899742931e-05, |
| "loss": 2.9055, |
| "step": 1290 |
| }, |
| { |
| "epoch": 1.67, |
| "learning_rate": 3.393316195372751e-05, |
| "loss": 2.9502, |
| "step": 1300 |
| }, |
| { |
| "epoch": 1.67, |
| "eval_accuracy": 0.29743589743589743, |
| "eval_loss": 2.92795467376709, |
| "eval_runtime": 4.8649, |
| "eval_samples_per_second": 80.166, |
| "eval_steps_per_second": 10.072, |
| "step": 1300 |
| }, |
| { |
| "epoch": 1.68, |
| "learning_rate": 3.264781491002571e-05, |
| "loss": 2.837, |
| "step": 1310 |
| }, |
| { |
| "epoch": 1.7, |
| "learning_rate": 3.1362467866323906e-05, |
| "loss": 3.0021, |
| "step": 1320 |
| }, |
| { |
| "epoch": 1.71, |
| "learning_rate": 3.0077120822622107e-05, |
| "loss": 2.974, |
| "step": 1330 |
| }, |
| { |
| "epoch": 1.72, |
| "learning_rate": 2.879177377892031e-05, |
| "loss": 3.1642, |
| "step": 1340 |
| }, |
| { |
| "epoch": 1.74, |
| "learning_rate": 2.750642673521851e-05, |
| "loss": 2.8847, |
| "step": 1350 |
| }, |
| { |
| "epoch": 1.75, |
| "learning_rate": 2.622107969151671e-05, |
| "loss": 2.963, |
| "step": 1360 |
| }, |
| { |
| "epoch": 1.76, |
| "learning_rate": 2.493573264781491e-05, |
| "loss": 2.9772, |
| "step": 1370 |
| }, |
| { |
| "epoch": 1.77, |
| "learning_rate": 2.3650385604113112e-05, |
| "loss": 2.9531, |
| "step": 1380 |
| }, |
| { |
| "epoch": 1.79, |
| "learning_rate": 2.236503856041131e-05, |
| "loss": 3.0706, |
| "step": 1390 |
| }, |
| { |
| "epoch": 1.8, |
| "learning_rate": 2.107969151670951e-05, |
| "loss": 3.084, |
| "step": 1400 |
| }, |
| { |
| "epoch": 1.8, |
| "eval_accuracy": 0.31025641025641026, |
| "eval_loss": 2.86479115486145, |
| "eval_runtime": 4.9511, |
| "eval_samples_per_second": 78.77, |
| "eval_steps_per_second": 9.897, |
| "step": 1400 |
| }, |
| { |
| "epoch": 1.81, |
| "learning_rate": 1.9794344473007716e-05, |
| "loss": 2.8422, |
| "step": 1410 |
| }, |
| { |
| "epoch": 1.83, |
| "learning_rate": 1.8508997429305914e-05, |
| "loss": 2.8483, |
| "step": 1420 |
| }, |
| { |
| "epoch": 1.84, |
| "learning_rate": 1.7223650385604115e-05, |
| "loss": 2.8629, |
| "step": 1430 |
| }, |
| { |
| "epoch": 1.85, |
| "learning_rate": 1.5938303341902313e-05, |
| "loss": 3.0296, |
| "step": 1440 |
| }, |
| { |
| "epoch": 1.86, |
| "learning_rate": 1.4652956298200515e-05, |
| "loss": 3.2828, |
| "step": 1450 |
| }, |
| { |
| "epoch": 1.88, |
| "learning_rate": 1.3367609254498715e-05, |
| "loss": 2.8906, |
| "step": 1460 |
| }, |
| { |
| "epoch": 1.89, |
| "learning_rate": 1.2082262210796916e-05, |
| "loss": 2.8501, |
| "step": 1470 |
| }, |
| { |
| "epoch": 1.9, |
| "learning_rate": 1.0796915167095115e-05, |
| "loss": 3.1941, |
| "step": 1480 |
| }, |
| { |
| "epoch": 1.92, |
| "learning_rate": 9.511568123393317e-06, |
| "loss": 3.2227, |
| "step": 1490 |
| }, |
| { |
| "epoch": 1.93, |
| "learning_rate": 8.226221079691516e-06, |
| "loss": 2.8916, |
| "step": 1500 |
| }, |
| { |
| "epoch": 1.93, |
| "eval_accuracy": 0.3, |
| "eval_loss": 2.87473464012146, |
| "eval_runtime": 5.5554, |
| "eval_samples_per_second": 70.202, |
| "eval_steps_per_second": 8.82, |
| "step": 1500 |
| }, |
| { |
| "epoch": 1.94, |
| "learning_rate": 6.940874035989718e-06, |
| "loss": 2.696, |
| "step": 1510 |
| }, |
| { |
| "epoch": 1.95, |
| "learning_rate": 5.6555269922879175e-06, |
| "loss": 3.1394, |
| "step": 1520 |
| }, |
| { |
| "epoch": 1.97, |
| "learning_rate": 4.370179948586119e-06, |
| "loss": 2.8452, |
| "step": 1530 |
| }, |
| { |
| "epoch": 1.98, |
| "learning_rate": 3.084832904884319e-06, |
| "loss": 2.7683, |
| "step": 1540 |
| }, |
| { |
| "epoch": 1.99, |
| "learning_rate": 1.7994858611825194e-06, |
| "loss": 2.681, |
| "step": 1550 |
| }, |
| { |
| "epoch": 2.0, |
| "step": 1556, |
| "total_flos": 1.1959742538326016e+17, |
| "train_loss": 3.140765584832905, |
| "train_runtime": 414.3391, |
| "train_samples_per_second": 7.511, |
| "train_steps_per_second": 3.755 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.31025641025641026, |
| "eval_loss": 2.86479115486145, |
| "eval_runtime": 5.2198, |
| "eval_samples_per_second": 74.716, |
| "eval_steps_per_second": 9.387, |
| "step": 1556 |
| } |
| ], |
| "max_steps": 1556, |
| "num_train_epochs": 2, |
| "total_flos": 1.1959742538326016e+17, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
