--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: 1_8e-3_5_0.5 results: [] --- # 1_8e-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: 0.9097 - Accuracy: 0.7502 ## 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: 0.008 - 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 2.7895 | 1.0 | 590 | 1.8785 | 0.6150 | | 2.562 | 2.0 | 1180 | 2.8327 | 0.4046 | | 2.4023 | 3.0 | 1770 | 2.0853 | 0.5217 | | 2.3167 | 4.0 | 2360 | 1.5879 | 0.6505 | | 2.161 | 5.0 | 2950 | 1.9917 | 0.4914 | | 1.794 | 6.0 | 3540 | 2.5834 | 0.5110 | | 1.9698 | 7.0 | 4130 | 3.1462 | 0.4927 | | 1.5971 | 8.0 | 4720 | 1.6865 | 0.5966 | | 1.5201 | 9.0 | 5310 | 3.4553 | 0.6413 | | 1.5841 | 10.0 | 5900 | 3.1799 | 0.6327 | | 1.5231 | 11.0 | 6490 | 1.1451 | 0.6933 | | 1.3941 | 12.0 | 7080 | 1.1390 | 0.6884 | | 1.3679 | 13.0 | 7670 | 1.4767 | 0.6902 | | 1.2653 | 14.0 | 8260 | 1.5274 | 0.7028 | | 1.2451 | 15.0 | 8850 | 1.6725 | 0.7073 | | 1.255 | 16.0 | 9440 | 1.5284 | 0.7012 | | 1.184 | 17.0 | 10030 | 1.0831 | 0.6979 | | 1.1215 | 18.0 | 10620 | 2.0515 | 0.5755 | | 1.0766 | 19.0 | 11210 | 1.1808 | 0.7263 | | 1.1108 | 20.0 | 11800 | 1.0647 | 0.7190 | | 1.0272 | 21.0 | 12390 | 1.2527 | 0.6654 | | 1.036 | 22.0 | 12980 | 1.1910 | 0.6783 | | 0.9735 | 23.0 | 13570 | 1.0311 | 0.7037 | | 0.9167 | 24.0 | 14160 | 0.9997 | 0.7021 | | 0.8494 | 25.0 | 14750 | 1.0338 | 0.7284 | | 0.8461 | 26.0 | 15340 | 1.4642 | 0.6495 | | 0.8466 | 27.0 | 15930 | 0.9877 | 0.7370 | | 0.8498 | 28.0 | 16520 | 0.9401 | 0.7287 | | 0.7851 | 29.0 | 17110 | 1.0208 | 0.7336 | | 0.7796 | 30.0 | 17700 | 0.9350 | 0.7232 | | 0.7725 | 31.0 | 18290 | 1.4097 | 0.7162 | | 0.7599 | 32.0 | 18880 | 1.1313 | 0.7333 | | 0.768 | 33.0 | 19470 | 1.0272 | 0.7379 | | 0.7007 | 34.0 | 20060 | 0.9294 | 0.7364 | | 0.6718 | 35.0 | 20650 | 0.9347 | 0.7330 | | 0.6786 | 36.0 | 21240 | 1.0231 | 0.7416 | | 0.6822 | 37.0 | 21830 | 0.9767 | 0.7413 | | 0.6667 | 38.0 | 22420 | 0.9351 | 0.7272 | | 0.6497 | 39.0 | 23010 | 0.9574 | 0.7355 | | 0.638 | 40.0 | 23600 | 1.0610 | 0.7437 | | 0.6468 | 41.0 | 24190 | 1.1462 | 0.7434 | | 0.6046 | 42.0 | 24780 | 0.9750 | 0.7211 | | 0.6079 | 43.0 | 25370 | 1.2040 | 0.7419 | | 0.5806 | 44.0 | 25960 | 1.1603 | 0.7018 | | 0.5753 | 45.0 | 26550 | 1.0639 | 0.7110 | | 0.5693 | 46.0 | 27140 | 1.0966 | 0.7422 | | 0.5757 | 47.0 | 27730 | 1.0137 | 0.7468 | | 0.5692 | 48.0 | 28320 | 0.9476 | 0.7382 | | 0.5732 | 49.0 | 28910 | 1.0004 | 0.7291 | | 0.5563 | 50.0 | 29500 | 0.9870 | 0.7394 | | 0.5217 | 51.0 | 30090 | 0.9681 | 0.7312 | | 0.5239 | 52.0 | 30680 | 0.9812 | 0.7456 | | 0.525 | 53.0 | 31270 | 1.0355 | 0.7196 | | 0.5136 | 54.0 | 31860 | 0.9161 | 0.7385 | | 0.5249 | 55.0 | 32450 | 1.0093 | 0.7382 | | 0.5092 | 56.0 | 33040 | 1.0072 | 0.7428 | | 0.4754 | 57.0 | 33630 | 1.0560 | 0.7425 | | 0.4716 | 58.0 | 34220 | 0.9922 | 0.7425 | | 0.4913 | 59.0 | 34810 | 1.0014 | 0.7480 | | 0.4773 | 60.0 | 35400 | 0.9148 | 0.7352 | | 0.4725 | 61.0 | 35990 | 0.9691 | 0.7474 | | 0.4656 | 62.0 | 36580 | 0.9459 | 0.7453 | | 0.4565 | 63.0 | 37170 | 0.9521 | 0.7388 | | 0.4502 | 64.0 | 37760 | 1.0172 | 0.7474 | | 0.4765 | 65.0 | 38350 | 0.9504 | 0.7327 | | 0.4439 | 66.0 | 38940 | 0.9998 | 0.7443 | | 0.4424 | 67.0 | 39530 | 1.0985 | 0.7498 | | 0.4541 | 68.0 | 40120 | 0.9088 | 0.7446 | | 0.4321 | 69.0 | 40710 | 0.9322 | 0.7379 | | 0.4346 | 70.0 | 41300 | 1.0028 | 0.7495 | | 0.4329 | 71.0 | 41890 | 0.8949 | 0.7385 | | 0.4344 | 72.0 | 42480 | 0.9631 | 0.7544 | | 0.4111 | 73.0 | 43070 | 0.9800 | 0.7272 | | 0.4183 | 74.0 | 43660 | 1.1350 | 0.7541 | | 0.4234 | 75.0 | 44250 | 0.9444 | 0.7511 | | 0.4297 | 76.0 | 44840 | 0.9584 | 0.7526 | | 0.4172 | 77.0 | 45430 | 0.9165 | 0.7413 | | 0.4083 | 78.0 | 46020 | 0.9103 | 0.7401 | | 0.4078 | 79.0 | 46610 | 0.9100 | 0.7468 | | 0.3977 | 80.0 | 47200 | 0.9172 | 0.7480 | | 0.3885 | 81.0 | 47790 | 0.9714 | 0.7523 | | 0.4012 | 82.0 | 48380 | 1.0683 | 0.7547 | | 0.3831 | 83.0 | 48970 | 0.9867 | 0.7575 | | 0.3878 | 84.0 | 49560 | 0.9245 | 0.7541 | | 0.3841 | 85.0 | 50150 | 0.9662 | 0.7327 | | 0.3835 | 86.0 | 50740 | 0.9532 | 0.7505 | | 0.3755 | 87.0 | 51330 | 0.9645 | 0.7492 | | 0.379 | 88.0 | 51920 | 0.9183 | 0.7483 | | 0.38 | 89.0 | 52510 | 0.9787 | 0.7523 | | 0.37 | 90.0 | 53100 | 0.9205 | 0.7443 | | 0.368 | 91.0 | 53690 | 0.9236 | 0.7446 | | 0.3737 | 92.0 | 54280 | 0.9023 | 0.7419 | | 0.3663 | 93.0 | 54870 | 0.9200 | 0.7514 | | 0.3763 | 94.0 | 55460 | 0.9496 | 0.7517 | | 0.3635 | 95.0 | 56050 | 0.9487 | 0.7508 | | 0.3656 | 96.0 | 56640 | 0.9122 | 0.7502 | | 0.3604 | 97.0 | 57230 | 0.9036 | 0.7498 | | 0.3475 | 98.0 | 57820 | 0.9054 | 0.7474 | | 0.3552 | 99.0 | 58410 | 0.9078 | 0.7471 | | 0.3564 | 100.0 | 59000 | 0.9097 | 0.7502 | ### Framework versions - Transformers 4.30.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3