--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: 1_7e-3_10_0.1 results: [] --- # 1_7e-3_10_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: 0.9819 - Accuracy: 0.7303 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 1.4686 | 1.0 | 590 | 2.1510 | 0.3798 | | 1.4409 | 2.0 | 1180 | 1.6620 | 0.6214 | | 1.3336 | 3.0 | 1770 | 2.9692 | 0.3789 | | 1.3331 | 4.0 | 2360 | 0.9502 | 0.6306 | | 1.1121 | 5.0 | 2950 | 1.0075 | 0.6294 | | 1.1211 | 6.0 | 3540 | 0.8872 | 0.6612 | | 1.0596 | 7.0 | 4130 | 2.2995 | 0.4128 | | 0.9931 | 8.0 | 4720 | 0.9438 | 0.6810 | | 0.9235 | 9.0 | 5310 | 0.8872 | 0.6581 | | 0.9613 | 10.0 | 5900 | 1.2425 | 0.5847 | | 0.9177 | 11.0 | 6490 | 0.8943 | 0.6862 | | 0.7985 | 12.0 | 7080 | 0.8038 | 0.6884 | | 0.7943 | 13.0 | 7670 | 0.8016 | 0.6924 | | 0.7742 | 14.0 | 8260 | 0.7611 | 0.7162 | | 0.7373 | 15.0 | 8850 | 0.8728 | 0.7128 | | 0.7054 | 16.0 | 9440 | 0.7415 | 0.7116 | | 0.6589 | 17.0 | 10030 | 0.7437 | 0.7070 | | 0.6449 | 18.0 | 10620 | 1.1703 | 0.6303 | | 0.5872 | 19.0 | 11210 | 0.7583 | 0.7217 | | 0.6065 | 20.0 | 11800 | 0.8280 | 0.7196 | | 0.5721 | 21.0 | 12390 | 0.8555 | 0.7012 | | 0.5955 | 22.0 | 12980 | 0.8109 | 0.7147 | | 0.5202 | 23.0 | 13570 | 0.7935 | 0.7245 | | 0.5017 | 24.0 | 14160 | 0.8676 | 0.6976 | | 0.4923 | 25.0 | 14750 | 0.9052 | 0.7346 | | 0.4774 | 26.0 | 15340 | 1.5937 | 0.5976 | | 0.4714 | 27.0 | 15930 | 0.8523 | 0.7220 | | 0.4439 | 28.0 | 16520 | 0.8909 | 0.7278 | | 0.4227 | 29.0 | 17110 | 0.9224 | 0.7321 | | 0.4029 | 30.0 | 17700 | 0.8559 | 0.7245 | | 0.4015 | 31.0 | 18290 | 0.9032 | 0.7309 | | 0.3923 | 32.0 | 18880 | 0.9003 | 0.7327 | | 0.3897 | 33.0 | 19470 | 0.9786 | 0.6966 | | 0.354 | 34.0 | 20060 | 0.8606 | 0.7251 | | 0.3508 | 35.0 | 20650 | 0.8788 | 0.7278 | | 0.3293 | 36.0 | 21240 | 1.1236 | 0.7214 | | 0.3336 | 37.0 | 21830 | 0.9196 | 0.7266 | | 0.3407 | 38.0 | 22420 | 0.9319 | 0.7220 | | 0.3338 | 39.0 | 23010 | 0.8982 | 0.7321 | | 0.3065 | 40.0 | 23600 | 0.9969 | 0.7333 | | 0.2972 | 41.0 | 24190 | 1.0879 | 0.7309 | | 0.2904 | 42.0 | 24780 | 0.9547 | 0.7327 | | 0.2883 | 43.0 | 25370 | 0.9553 | 0.7187 | | 0.2889 | 44.0 | 25960 | 0.9805 | 0.7251 | | 0.269 | 45.0 | 26550 | 0.9516 | 0.7321 | | 0.2573 | 46.0 | 27140 | 0.9094 | 0.7242 | | 0.2679 | 47.0 | 27730 | 0.9398 | 0.7217 | | 0.2595 | 48.0 | 28320 | 1.0380 | 0.7064 | | 0.2819 | 49.0 | 28910 | 0.9346 | 0.7324 | | 0.247 | 50.0 | 29500 | 0.9272 | 0.7239 | | 0.2482 | 51.0 | 30090 | 0.9673 | 0.7254 | | 0.242 | 52.0 | 30680 | 1.0115 | 0.7217 | | 0.2343 | 53.0 | 31270 | 0.9958 | 0.7226 | | 0.2381 | 54.0 | 31860 | 0.9392 | 0.7263 | | 0.2279 | 55.0 | 32450 | 0.9564 | 0.7284 | | 0.2256 | 56.0 | 33040 | 1.0298 | 0.7239 | | 0.2267 | 57.0 | 33630 | 1.0001 | 0.7263 | | 0.2161 | 58.0 | 34220 | 0.9867 | 0.7248 | | 0.214 | 59.0 | 34810 | 0.9574 | 0.7226 | | 0.2148 | 60.0 | 35400 | 1.0306 | 0.7229 | | 0.2128 | 61.0 | 35990 | 1.0751 | 0.7346 | | 0.2081 | 62.0 | 36580 | 0.9656 | 0.7263 | | 0.203 | 63.0 | 37170 | 1.0100 | 0.7263 | | 0.204 | 64.0 | 37760 | 0.9536 | 0.7297 | | 0.1988 | 65.0 | 38350 | 0.9686 | 0.7269 | | 0.1976 | 66.0 | 38940 | 0.9927 | 0.7297 | | 0.1943 | 67.0 | 39530 | 0.9987 | 0.7309 | | 0.1941 | 68.0 | 40120 | 0.9876 | 0.7309 | | 0.1862 | 69.0 | 40710 | 0.9646 | 0.7321 | | 0.1986 | 70.0 | 41300 | 1.0332 | 0.7324 | | 0.1872 | 71.0 | 41890 | 0.9861 | 0.7324 | | 0.1898 | 72.0 | 42480 | 0.9831 | 0.7346 | | 0.1793 | 73.0 | 43070 | 0.9901 | 0.7303 | | 0.1843 | 74.0 | 43660 | 1.0411 | 0.7294 | | 0.1757 | 75.0 | 44250 | 1.0355 | 0.7312 | | 0.1814 | 76.0 | 44840 | 1.0320 | 0.7239 | | 0.1764 | 77.0 | 45430 | 0.9895 | 0.7333 | | 0.1779 | 78.0 | 46020 | 0.9944 | 0.7367 | | 0.1752 | 79.0 | 46610 | 0.9581 | 0.7263 | | 0.1734 | 80.0 | 47200 | 0.9525 | 0.7297 | | 0.1718 | 81.0 | 47790 | 0.9693 | 0.7275 | | 0.1722 | 82.0 | 48380 | 0.9876 | 0.7297 | | 0.1719 | 83.0 | 48970 | 0.9838 | 0.7306 | | 0.161 | 84.0 | 49560 | 0.9996 | 0.7281 | | 0.1711 | 85.0 | 50150 | 0.9880 | 0.7291 | | 0.1634 | 86.0 | 50740 | 1.0062 | 0.7306 | | 0.1587 | 87.0 | 51330 | 1.0071 | 0.7318 | | 0.156 | 88.0 | 51920 | 1.0271 | 0.7297 | | 0.1574 | 89.0 | 52510 | 1.0062 | 0.7321 | | 0.151 | 90.0 | 53100 | 0.9889 | 0.7263 | | 0.1553 | 91.0 | 53690 | 0.9676 | 0.7324 | | 0.1584 | 92.0 | 54280 | 0.9721 | 0.7321 | | 0.1491 | 93.0 | 54870 | 0.9824 | 0.7349 | | 0.1523 | 94.0 | 55460 | 0.9880 | 0.7306 | | 0.1509 | 95.0 | 56050 | 0.9993 | 0.7327 | | 0.1496 | 96.0 | 56640 | 0.9892 | 0.7318 | | 0.1518 | 97.0 | 57230 | 0.9925 | 0.7339 | | 0.149 | 98.0 | 57820 | 0.9845 | 0.7333 | | 0.1449 | 99.0 | 58410 | 0.9832 | 0.7312 | | 0.15 | 100.0 | 59000 | 0.9819 | 0.7303 | ### Framework versions - Transformers 4.30.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3