--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: 1_7e-3_1_0.1 results: [] --- # 1_7e-3_1_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: 0.9192 - Accuracy: 0.7364 ## 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: 0.007 - 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 1.1257 | 1.0 | 590 | 1.4503 | 0.3786 | | 1.0981 | 2.0 | 1180 | 1.8937 | 0.3783 | | 0.9703 | 3.0 | 1770 | 2.1720 | 0.3783 | | 0.979 | 4.0 | 2360 | 1.2857 | 0.3783 | | 0.9202 | 5.0 | 2950 | 0.8853 | 0.6217 | | 0.8741 | 6.0 | 3540 | 0.7896 | 0.4083 | | 0.8447 | 7.0 | 4130 | 0.6795 | 0.6226 | | 0.7643 | 8.0 | 4720 | 0.7802 | 0.6446 | | 0.7719 | 9.0 | 5310 | 1.1456 | 0.6217 | | 0.801 | 10.0 | 5900 | 1.0800 | 0.6217 | | 0.754 | 11.0 | 6490 | 0.5603 | 0.6826 | | 0.7759 | 12.0 | 7080 | 0.8186 | 0.6462 | | 0.7224 | 13.0 | 7670 | 0.5755 | 0.6841 | | 0.7168 | 14.0 | 8260 | 1.2988 | 0.6229 | | 0.716 | 15.0 | 8850 | 0.7171 | 0.6153 | | 0.6926 | 16.0 | 9440 | 0.7309 | 0.5960 | | 0.6362 | 17.0 | 10030 | 0.9837 | 0.5373 | | 0.6371 | 18.0 | 10620 | 0.5982 | 0.6994 | | 0.61 | 19.0 | 11210 | 0.6893 | 0.6914 | | 0.6424 | 20.0 | 11800 | 0.7196 | 0.6398 | | 0.5784 | 21.0 | 12390 | 0.7087 | 0.6410 | | 0.5773 | 22.0 | 12980 | 0.8326 | 0.6147 | | 0.5295 | 23.0 | 13570 | 0.7017 | 0.6538 | | 0.5214 | 24.0 | 14160 | 0.5868 | 0.7278 | | 0.527 | 25.0 | 14750 | 0.7043 | 0.7135 | | 0.5021 | 26.0 | 15340 | 0.7474 | 0.6679 | | 0.4886 | 27.0 | 15930 | 0.6396 | 0.7217 | | 0.4509 | 28.0 | 16520 | 0.6120 | 0.7128 | | 0.4456 | 29.0 | 17110 | 0.6018 | 0.7287 | | 0.4645 | 30.0 | 17700 | 0.7315 | 0.7318 | | 0.4423 | 31.0 | 18290 | 0.7017 | 0.7131 | | 0.4267 | 32.0 | 18880 | 0.6643 | 0.7358 | | 0.4184 | 33.0 | 19470 | 0.6844 | 0.7040 | | 0.3699 | 34.0 | 20060 | 0.6415 | 0.7443 | | 0.3789 | 35.0 | 20650 | 0.6348 | 0.7453 | | 0.3587 | 36.0 | 21240 | 0.7050 | 0.7352 | | 0.3696 | 37.0 | 21830 | 0.7278 | 0.7254 | | 0.3328 | 38.0 | 22420 | 0.7659 | 0.7150 | | 0.326 | 39.0 | 23010 | 0.7224 | 0.7174 | | 0.3122 | 40.0 | 23600 | 0.8104 | 0.7006 | | 0.313 | 41.0 | 24190 | 0.7368 | 0.7398 | | 0.2977 | 42.0 | 24780 | 0.7630 | 0.7303 | | 0.2831 | 43.0 | 25370 | 0.7945 | 0.7450 | | 0.2875 | 44.0 | 25960 | 0.9180 | 0.6869 | | 0.2603 | 45.0 | 26550 | 0.8352 | 0.7413 | | 0.2681 | 46.0 | 27140 | 0.7725 | 0.7410 | | 0.2576 | 47.0 | 27730 | 0.7956 | 0.7235 | | 0.2548 | 48.0 | 28320 | 0.9659 | 0.6945 | | 0.2692 | 49.0 | 28910 | 0.7937 | 0.7193 | | 0.2432 | 50.0 | 29500 | 0.8977 | 0.7361 | | 0.2501 | 51.0 | 30090 | 0.8996 | 0.7061 | | 0.2248 | 52.0 | 30680 | 0.7954 | 0.7453 | | 0.2115 | 53.0 | 31270 | 0.8856 | 0.7450 | | 0.2238 | 54.0 | 31860 | 0.9348 | 0.7095 | | 0.2244 | 55.0 | 32450 | 0.9433 | 0.7180 | | 0.2178 | 56.0 | 33040 | 0.8618 | 0.7229 | | 0.199 | 57.0 | 33630 | 0.8852 | 0.7125 | | 0.2022 | 58.0 | 34220 | 0.8382 | 0.7401 | | 0.1903 | 59.0 | 34810 | 0.9755 | 0.7281 | | 0.1951 | 60.0 | 35400 | 0.9614 | 0.7269 | | 0.1782 | 61.0 | 35990 | 0.9009 | 0.7373 | | 0.1792 | 62.0 | 36580 | 0.9366 | 0.7373 | | 0.1751 | 63.0 | 37170 | 0.9252 | 0.7327 | | 0.1743 | 64.0 | 37760 | 0.9330 | 0.7385 | | 0.167 | 65.0 | 38350 | 0.9401 | 0.7336 | | 0.1607 | 66.0 | 38940 | 0.9794 | 0.7144 | | 0.1664 | 67.0 | 39530 | 0.8882 | 0.7407 | | 0.1523 | 68.0 | 40120 | 0.9037 | 0.7352 | | 0.1563 | 69.0 | 40710 | 0.9848 | 0.7450 | | 0.1586 | 70.0 | 41300 | 0.9774 | 0.7379 | | 0.1518 | 71.0 | 41890 | 1.0685 | 0.7064 | | 0.1562 | 72.0 | 42480 | 0.8568 | 0.7440 | | 0.1358 | 73.0 | 43070 | 0.9193 | 0.7339 | | 0.1449 | 74.0 | 43660 | 0.9681 | 0.7398 | | 0.1374 | 75.0 | 44250 | 0.9315 | 0.7294 | | 0.1426 | 76.0 | 44840 | 0.9200 | 0.7349 | | 0.1385 | 77.0 | 45430 | 1.0396 | 0.7138 | | 0.1358 | 78.0 | 46020 | 0.8802 | 0.7346 | | 0.1262 | 79.0 | 46610 | 0.8972 | 0.7404 | | 0.1285 | 80.0 | 47200 | 0.9058 | 0.7388 | | 0.1305 | 81.0 | 47790 | 0.9642 | 0.7300 | | 0.1288 | 82.0 | 48380 | 0.9402 | 0.7450 | | 0.1229 | 83.0 | 48970 | 0.9702 | 0.7336 | | 0.1192 | 84.0 | 49560 | 0.9303 | 0.7379 | | 0.1271 | 85.0 | 50150 | 0.9670 | 0.7187 | | 0.12 | 86.0 | 50740 | 0.9493 | 0.7410 | | 0.1174 | 87.0 | 51330 | 0.9612 | 0.7260 | | 0.1174 | 88.0 | 51920 | 0.9380 | 0.7349 | | 0.1061 | 89.0 | 52510 | 0.9493 | 0.7309 | | 0.1137 | 90.0 | 53100 | 0.9143 | 0.7318 | | 0.1107 | 91.0 | 53690 | 0.8931 | 0.7343 | | 0.107 | 92.0 | 54280 | 0.9345 | 0.7266 | | 0.1079 | 93.0 | 54870 | 0.9181 | 0.7379 | | 0.1107 | 94.0 | 55460 | 0.8965 | 0.7394 | | 0.1059 | 95.0 | 56050 | 0.9065 | 0.7385 | | 0.0994 | 96.0 | 56640 | 0.8962 | 0.7404 | | 0.1116 | 97.0 | 57230 | 0.9197 | 0.7376 | | 0.1061 | 98.0 | 57820 | 0.9145 | 0.7370 | | 0.1038 | 99.0 | 58410 | 0.9207 | 0.7349 | | 0.1002 | 100.0 | 59000 | 0.9192 | 0.7364 | ### Framework versions - Transformers 4.30.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3