--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: 1_6e-3_5_0.5 results: [] --- # 1_6e-3_5_0.5 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the super_glue dataset. It achieves the following results on the evaluation set: - Loss: 0.8860 - Accuracy: 0.7462 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.006 - train_batch_size: 16 - eval_batch_size: 8 - seed: 11 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 2.5324 | 1.0 | 590 | 2.6875 | 0.6217 | | 2.4802 | 2.0 | 1180 | 3.4068 | 0.6214 | | 2.6163 | 3.0 | 1770 | 3.8107 | 0.3841 | | 2.2085 | 4.0 | 2360 | 2.0912 | 0.5021 | | 2.1045 | 5.0 | 2950 | 1.6305 | 0.6394 | | 1.7984 | 6.0 | 3540 | 1.8421 | 0.6352 | | 1.7236 | 7.0 | 4130 | 1.3822 | 0.6550 | | 1.6613 | 8.0 | 4720 | 1.3880 | 0.6939 | | 1.5506 | 9.0 | 5310 | 2.7376 | 0.6498 | | 1.6032 | 10.0 | 5900 | 1.9660 | 0.5471 | | 1.4851 | 11.0 | 6490 | 1.2698 | 0.7015 | | 1.3779 | 12.0 | 7080 | 1.1481 | 0.7070 | | 1.315 | 13.0 | 7670 | 1.1203 | 0.6963 | | 1.3238 | 14.0 | 8260 | 1.1089 | 0.7040 | | 1.2662 | 15.0 | 8850 | 1.0526 | 0.7211 | | 1.2489 | 16.0 | 9440 | 1.0878 | 0.6905 | | 1.1504 | 17.0 | 10030 | 1.1004 | 0.7232 | | 1.1289 | 18.0 | 10620 | 1.2881 | 0.6615 | | 1.0159 | 19.0 | 11210 | 0.9890 | 0.7196 | | 1.1298 | 20.0 | 11800 | 1.0623 | 0.7070 | | 0.9891 | 21.0 | 12390 | 1.2508 | 0.7211 | | 0.9865 | 22.0 | 12980 | 1.3142 | 0.6630 | | 0.996 | 23.0 | 13570 | 1.0147 | 0.7125 | | 0.9373 | 24.0 | 14160 | 1.0033 | 0.7281 | | 0.9647 | 25.0 | 14750 | 2.0608 | 0.6920 | | 0.8803 | 26.0 | 15340 | 0.9517 | 0.7312 | | 0.8541 | 27.0 | 15930 | 0.9624 | 0.7266 | | 0.8476 | 28.0 | 16520 | 0.9491 | 0.7239 | | 0.8058 | 29.0 | 17110 | 0.9725 | 0.7385 | | 0.8055 | 30.0 | 17700 | 0.9748 | 0.7248 | | 0.788 | 31.0 | 18290 | 1.0021 | 0.7333 | | 0.7576 | 32.0 | 18880 | 0.9257 | 0.7358 | | 0.7698 | 33.0 | 19470 | 1.1881 | 0.6872 | | 0.7371 | 34.0 | 20060 | 0.9496 | 0.7303 | | 0.7355 | 35.0 | 20650 | 0.9241 | 0.7306 | | 0.7062 | 36.0 | 21240 | 0.9682 | 0.7336 | | 0.6691 | 37.0 | 21830 | 0.9349 | 0.7358 | | 0.6613 | 38.0 | 22420 | 0.9785 | 0.7437 | | 0.7068 | 39.0 | 23010 | 0.9227 | 0.7416 | | 0.6189 | 40.0 | 23600 | 1.1750 | 0.7419 | | 0.6352 | 41.0 | 24190 | 1.1787 | 0.7394 | | 0.63 | 42.0 | 24780 | 0.9740 | 0.7422 | | 0.6166 | 43.0 | 25370 | 1.2322 | 0.7376 | | 0.6076 | 44.0 | 25960 | 0.9889 | 0.7260 | | 0.6081 | 45.0 | 26550 | 1.2527 | 0.6783 | | 0.5942 | 46.0 | 27140 | 0.9813 | 0.7214 | | 0.5892 | 47.0 | 27730 | 0.9268 | 0.7391 | | 0.5552 | 48.0 | 28320 | 0.9250 | 0.7425 | | 0.5875 | 49.0 | 28910 | 0.9149 | 0.7306 | | 0.5532 | 50.0 | 29500 | 0.9487 | 0.7272 | | 0.5467 | 51.0 | 30090 | 0.9219 | 0.7355 | | 0.5536 | 52.0 | 30680 | 0.9884 | 0.7431 | | 0.5306 | 53.0 | 31270 | 1.0661 | 0.7165 | | 0.5382 | 54.0 | 31860 | 0.9046 | 0.7379 | | 0.5506 | 55.0 | 32450 | 1.0618 | 0.7150 | | 0.5427 | 56.0 | 33040 | 0.9165 | 0.7434 | | 0.513 | 57.0 | 33630 | 1.2612 | 0.7358 | | 0.5008 | 58.0 | 34220 | 0.9674 | 0.7388 | | 0.4962 | 59.0 | 34810 | 0.9219 | 0.7346 | | 0.5079 | 60.0 | 35400 | 0.9093 | 0.7413 | | 0.4973 | 61.0 | 35990 | 0.9088 | 0.7343 | | 0.4938 | 62.0 | 36580 | 0.8926 | 0.7404 | | 0.4984 | 63.0 | 37170 | 1.0869 | 0.7080 | | 0.4907 | 64.0 | 37760 | 0.9026 | 0.7343 | | 0.4727 | 65.0 | 38350 | 0.8803 | 0.7410 | | 0.4667 | 66.0 | 38940 | 0.9391 | 0.7404 | | 0.4706 | 67.0 | 39530 | 0.9321 | 0.7343 | | 0.4696 | 68.0 | 40120 | 0.9011 | 0.7446 | | 0.4471 | 69.0 | 40710 | 0.9192 | 0.7450 | | 0.4535 | 70.0 | 41300 | 1.1121 | 0.7483 | | 0.4664 | 71.0 | 41890 | 0.8832 | 0.7346 | | 0.4462 | 72.0 | 42480 | 0.8937 | 0.7413 | | 0.4247 | 73.0 | 43070 | 0.9067 | 0.7419 | | 0.4218 | 74.0 | 43660 | 0.9289 | 0.7416 | | 0.4553 | 75.0 | 44250 | 0.9095 | 0.7453 | | 0.4485 | 76.0 | 44840 | 0.9062 | 0.7477 | | 0.432 | 77.0 | 45430 | 0.8999 | 0.7394 | | 0.4325 | 78.0 | 46020 | 0.8833 | 0.7523 | | 0.4293 | 79.0 | 46610 | 0.9077 | 0.7495 | | 0.4259 | 80.0 | 47200 | 0.9243 | 0.7440 | | 0.4056 | 81.0 | 47790 | 0.9145 | 0.7431 | | 0.424 | 82.0 | 48380 | 0.9100 | 0.7450 | | 0.418 | 83.0 | 48970 | 0.9334 | 0.7532 | | 0.4122 | 84.0 | 49560 | 0.9404 | 0.7511 | | 0.4023 | 85.0 | 50150 | 0.9007 | 0.7443 | | 0.4066 | 86.0 | 50740 | 0.9115 | 0.7474 | | 0.4065 | 87.0 | 51330 | 0.9344 | 0.7443 | | 0.4098 | 88.0 | 51920 | 0.9139 | 0.7453 | | 0.3902 | 89.0 | 52510 | 0.9120 | 0.7398 | | 0.3926 | 90.0 | 53100 | 0.9105 | 0.7425 | | 0.3994 | 91.0 | 53690 | 0.9182 | 0.7394 | | 0.3998 | 92.0 | 54280 | 0.8989 | 0.7446 | | 0.3961 | 93.0 | 54870 | 0.9133 | 0.7446 | | 0.3982 | 94.0 | 55460 | 0.8877 | 0.7428 | | 0.3855 | 95.0 | 56050 | 0.9050 | 0.7480 | | 0.3785 | 96.0 | 56640 | 0.8889 | 0.7456 | | 0.3816 | 97.0 | 57230 | 0.8830 | 0.7431 | | 0.377 | 98.0 | 57820 | 0.8847 | 0.7440 | | 0.367 | 99.0 | 58410 | 0.8872 | 0.7456 | | 0.3799 | 100.0 | 59000 | 0.8860 | 0.7462 | ### Framework versions - Transformers 4.30.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3