--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: 1_9e-3_5_0.1 results: [] --- # 1_9e-3_5_0.1 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: 0.9096 - Accuracy: 0.7495 ## 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: 0.009 - 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 1.6689 | 1.0 | 590 | 1.8930 | 0.3792 | | 1.4177 | 2.0 | 1180 | 1.1713 | 0.6217 | | 1.4671 | 3.0 | 1770 | 0.9910 | 0.4239 | | 1.2704 | 4.0 | 2360 | 1.0000 | 0.4969 | | 1.1101 | 5.0 | 2950 | 0.8316 | 0.6459 | | 1.0767 | 6.0 | 3540 | 0.9325 | 0.6428 | | 1.0047 | 7.0 | 4130 | 1.4778 | 0.4725 | | 0.9251 | 8.0 | 4720 | 0.7582 | 0.6801 | | 0.8846 | 9.0 | 5310 | 0.8984 | 0.6737 | | 0.8439 | 10.0 | 5900 | 0.8034 | 0.7018 | | 0.8068 | 11.0 | 6490 | 0.8305 | 0.6624 | | 0.7643 | 12.0 | 7080 | 1.0910 | 0.5859 | | 0.7306 | 13.0 | 7670 | 0.7682 | 0.6908 | | 0.6488 | 14.0 | 8260 | 0.7171 | 0.7226 | | 0.6521 | 15.0 | 8850 | 0.6864 | 0.7202 | | 0.6048 | 16.0 | 9440 | 0.7442 | 0.7260 | | 0.5536 | 17.0 | 10030 | 1.0092 | 0.6532 | | 0.5654 | 18.0 | 10620 | 0.7884 | 0.7052 | | 0.5349 | 19.0 | 11210 | 0.7640 | 0.7073 | | 0.4958 | 20.0 | 11800 | 0.7724 | 0.7343 | | 0.4706 | 21.0 | 12390 | 0.7728 | 0.7183 | | 0.459 | 22.0 | 12980 | 0.7394 | 0.7254 | | 0.4362 | 23.0 | 13570 | 0.7550 | 0.7196 | | 0.4176 | 24.0 | 14160 | 0.7744 | 0.7248 | | 0.4012 | 25.0 | 14750 | 0.8998 | 0.7364 | | 0.388 | 26.0 | 15340 | 0.9046 | 0.7104 | | 0.3852 | 27.0 | 15930 | 0.7894 | 0.7278 | | 0.3737 | 28.0 | 16520 | 0.8274 | 0.7391 | | 0.3456 | 29.0 | 17110 | 0.7725 | 0.7471 | | 0.34 | 30.0 | 17700 | 0.9009 | 0.7260 | | 0.3247 | 31.0 | 18290 | 0.7733 | 0.7398 | | 0.3197 | 32.0 | 18880 | 0.8370 | 0.7385 | | 0.3109 | 33.0 | 19470 | 0.8705 | 0.7269 | | 0.3047 | 34.0 | 20060 | 0.8475 | 0.7373 | | 0.2815 | 35.0 | 20650 | 0.9676 | 0.7407 | | 0.2782 | 36.0 | 21240 | 0.8183 | 0.7450 | | 0.2808 | 37.0 | 21830 | 0.8551 | 0.7394 | | 0.2639 | 38.0 | 22420 | 0.9552 | 0.7440 | | 0.2599 | 39.0 | 23010 | 0.8785 | 0.7422 | | 0.2563 | 40.0 | 23600 | 1.0538 | 0.7364 | | 0.2471 | 41.0 | 24190 | 0.9479 | 0.7502 | | 0.2524 | 42.0 | 24780 | 0.9348 | 0.7398 | | 0.2419 | 43.0 | 25370 | 0.9101 | 0.7401 | | 0.2338 | 44.0 | 25960 | 0.8726 | 0.7394 | | 0.2218 | 45.0 | 26550 | 0.8953 | 0.7416 | | 0.2115 | 46.0 | 27140 | 0.8966 | 0.7291 | | 0.2234 | 47.0 | 27730 | 0.9359 | 0.7416 | | 0.2047 | 48.0 | 28320 | 0.9434 | 0.7284 | | 0.2218 | 49.0 | 28910 | 0.9202 | 0.7465 | | 0.2075 | 50.0 | 29500 | 0.8866 | 0.7394 | | 0.1982 | 51.0 | 30090 | 0.9081 | 0.7358 | | 0.2064 | 52.0 | 30680 | 0.9691 | 0.7321 | | 0.1955 | 53.0 | 31270 | 0.9527 | 0.7275 | | 0.2006 | 54.0 | 31860 | 0.8744 | 0.7456 | | 0.2021 | 55.0 | 32450 | 0.9529 | 0.7419 | | 0.1932 | 56.0 | 33040 | 0.9040 | 0.7391 | | 0.1823 | 57.0 | 33630 | 0.9188 | 0.7382 | | 0.1726 | 58.0 | 34220 | 0.8715 | 0.7385 | | 0.1867 | 59.0 | 34810 | 0.9165 | 0.7410 | | 0.1831 | 60.0 | 35400 | 0.9393 | 0.7431 | | 0.1741 | 61.0 | 35990 | 0.9843 | 0.7502 | | 0.1687 | 62.0 | 36580 | 0.9161 | 0.7419 | | 0.1712 | 63.0 | 37170 | 0.9630 | 0.7431 | | 0.1742 | 64.0 | 37760 | 0.9306 | 0.7443 | | 0.1721 | 65.0 | 38350 | 0.9384 | 0.7446 | | 0.1614 | 66.0 | 38940 | 0.9237 | 0.7401 | | 0.1631 | 67.0 | 39530 | 0.9315 | 0.7404 | | 0.1626 | 68.0 | 40120 | 0.8884 | 0.7434 | | 0.1547 | 69.0 | 40710 | 0.9163 | 0.7483 | | 0.1609 | 70.0 | 41300 | 0.9340 | 0.7422 | | 0.1592 | 71.0 | 41890 | 0.9292 | 0.7352 | | 0.1588 | 72.0 | 42480 | 0.8887 | 0.7495 | | 0.1504 | 73.0 | 43070 | 0.9228 | 0.7480 | | 0.1422 | 74.0 | 43660 | 0.9570 | 0.7361 | | 0.1535 | 75.0 | 44250 | 0.9705 | 0.7446 | | 0.1486 | 76.0 | 44840 | 0.9364 | 0.7477 | | 0.146 | 77.0 | 45430 | 0.9385 | 0.7517 | | 0.1519 | 78.0 | 46020 | 0.8991 | 0.7495 | | 0.148 | 79.0 | 46610 | 0.9516 | 0.7483 | | 0.1388 | 80.0 | 47200 | 0.9189 | 0.7462 | | 0.1392 | 81.0 | 47790 | 0.8985 | 0.7474 | | 0.1426 | 82.0 | 48380 | 0.9112 | 0.7459 | | 0.1388 | 83.0 | 48970 | 0.9468 | 0.7456 | | 0.1396 | 84.0 | 49560 | 0.9185 | 0.7474 | | 0.1316 | 85.0 | 50150 | 0.9230 | 0.7434 | | 0.1332 | 86.0 | 50740 | 0.9365 | 0.7388 | | 0.1245 | 87.0 | 51330 | 0.9405 | 0.7502 | | 0.1283 | 88.0 | 51920 | 0.9384 | 0.7453 | | 0.1309 | 89.0 | 52510 | 0.9250 | 0.7483 | | 0.127 | 90.0 | 53100 | 0.9176 | 0.7434 | | 0.124 | 91.0 | 53690 | 0.9207 | 0.7446 | | 0.1294 | 92.0 | 54280 | 0.8949 | 0.7489 | | 0.1322 | 93.0 | 54870 | 0.9154 | 0.7495 | | 0.1242 | 94.0 | 55460 | 0.9033 | 0.7508 | | 0.1251 | 95.0 | 56050 | 0.9201 | 0.7502 | | 0.1174 | 96.0 | 56640 | 0.9043 | 0.7480 | | 0.1284 | 97.0 | 57230 | 0.9111 | 0.7489 | | 0.1188 | 98.0 | 57820 | 0.9175 | 0.7489 | | 0.1201 | 99.0 | 58410 | 0.9150 | 0.7498 | | 0.1229 | 100.0 | 59000 | 0.9096 | 0.7495 | ### Framework versions - Transformers 4.30.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3