--- license: apache-2.0 tags: - generated_from_trainer datasets: - super_glue metrics: - accuracy model-index: - name: '20230824164412' results: [] --- # 20230824164412 This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset. It achieves the following results on the evaluation set: - Loss: 1.4601 - Accuracy: 0.7617 ## 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: 0.005 - 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: 80.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | No log | 1.0 | 156 | 1.2623 | 0.4729 | | No log | 2.0 | 312 | 1.7988 | 0.4729 | | No log | 3.0 | 468 | 1.1894 | 0.5596 | | 1.5423 | 4.0 | 624 | 1.1452 | 0.6029 | | 1.5423 | 5.0 | 780 | 1.5302 | 0.5704 | | 1.5423 | 6.0 | 936 | 1.0779 | 0.6643 | | 1.2833 | 7.0 | 1092 | 1.3023 | 0.6643 | | 1.2833 | 8.0 | 1248 | 1.0901 | 0.6787 | | 1.2833 | 9.0 | 1404 | 1.0524 | 0.7040 | | 1.137 | 10.0 | 1560 | 1.1486 | 0.7040 | | 1.137 | 11.0 | 1716 | 0.9741 | 0.7220 | | 1.137 | 12.0 | 1872 | 0.9392 | 0.7401 | | 1.0902 | 13.0 | 2028 | 0.9919 | 0.7329 | | 1.0902 | 14.0 | 2184 | 0.9693 | 0.7292 | | 1.0902 | 15.0 | 2340 | 1.3303 | 0.6570 | | 1.0902 | 16.0 | 2496 | 1.6827 | 0.6245 | | 0.9851 | 17.0 | 2652 | 1.0073 | 0.7220 | | 0.9851 | 18.0 | 2808 | 1.0058 | 0.7220 | | 0.9851 | 19.0 | 2964 | 1.0158 | 0.7437 | | 0.8583 | 20.0 | 3120 | 1.9128 | 0.6679 | | 0.8583 | 21.0 | 3276 | 1.0963 | 0.7148 | | 0.8583 | 22.0 | 3432 | 1.3230 | 0.7184 | | 0.7482 | 23.0 | 3588 | 1.3272 | 0.7040 | | 0.7482 | 24.0 | 3744 | 1.2003 | 0.7401 | | 0.7482 | 25.0 | 3900 | 1.4140 | 0.7076 | | 0.6935 | 26.0 | 4056 | 1.1536 | 0.7509 | | 0.6935 | 27.0 | 4212 | 1.1267 | 0.7401 | | 0.6935 | 28.0 | 4368 | 1.1595 | 0.7473 | | 0.6056 | 29.0 | 4524 | 1.4403 | 0.7401 | | 0.6056 | 30.0 | 4680 | 1.3101 | 0.7617 | | 0.6056 | 31.0 | 4836 | 1.8018 | 0.7040 | | 0.6056 | 32.0 | 4992 | 1.1681 | 0.7653 | | 0.5191 | 33.0 | 5148 | 1.5214 | 0.7690 | | 0.5191 | 34.0 | 5304 | 1.2349 | 0.7509 | | 0.5191 | 35.0 | 5460 | 1.3993 | 0.7437 | | 0.4549 | 36.0 | 5616 | 1.5260 | 0.7040 | | 0.4549 | 37.0 | 5772 | 1.5437 | 0.7401 | | 0.4549 | 38.0 | 5928 | 1.4679 | 0.7401 | | 0.4181 | 39.0 | 6084 | 1.5237 | 0.7437 | | 0.4181 | 40.0 | 6240 | 1.2788 | 0.7545 | | 0.4181 | 41.0 | 6396 | 1.2741 | 0.7581 | | 0.3694 | 42.0 | 6552 | 1.4069 | 0.7653 | | 0.3694 | 43.0 | 6708 | 1.6243 | 0.7473 | | 0.3694 | 44.0 | 6864 | 1.5139 | 0.7509 | | 0.3477 | 45.0 | 7020 | 1.3648 | 0.7617 | | 0.3477 | 46.0 | 7176 | 1.3082 | 0.7581 | | 0.3477 | 47.0 | 7332 | 1.3837 | 0.7509 | | 0.3477 | 48.0 | 7488 | 1.4072 | 0.7726 | | 0.3048 | 49.0 | 7644 | 1.3494 | 0.7690 | | 0.3048 | 50.0 | 7800 | 1.5970 | 0.7437 | | 0.3048 | 51.0 | 7956 | 1.5230 | 0.7509 | | 0.2879 | 52.0 | 8112 | 1.4555 | 0.7690 | | 0.2879 | 53.0 | 8268 | 1.6442 | 0.7437 | | 0.2879 | 54.0 | 8424 | 1.4267 | 0.7473 | | 0.2545 | 55.0 | 8580 | 1.4977 | 0.7473 | | 0.2545 | 56.0 | 8736 | 1.5389 | 0.7509 | | 0.2545 | 57.0 | 8892 | 1.2889 | 0.7581 | | 0.2434 | 58.0 | 9048 | 1.5166 | 0.7545 | | 0.2434 | 59.0 | 9204 | 1.5143 | 0.7581 | | 0.2434 | 60.0 | 9360 | 1.6968 | 0.7437 | | 0.2309 | 61.0 | 9516 | 1.6144 | 0.7545 | | 0.2309 | 62.0 | 9672 | 1.5494 | 0.7581 | | 0.2309 | 63.0 | 9828 | 1.4832 | 0.7545 | | 0.2309 | 64.0 | 9984 | 1.4073 | 0.7581 | | 0.2194 | 65.0 | 10140 | 1.4524 | 0.7581 | | 0.2194 | 66.0 | 10296 | 1.4490 | 0.7509 | | 0.2194 | 67.0 | 10452 | 1.5948 | 0.7545 | | 0.2037 | 68.0 | 10608 | 1.5180 | 0.7653 | | 0.2037 | 69.0 | 10764 | 1.6394 | 0.7581 | | 0.2037 | 70.0 | 10920 | 1.5999 | 0.7617 | | 0.2017 | 71.0 | 11076 | 1.3414 | 0.7653 | | 0.2017 | 72.0 | 11232 | 1.4794 | 0.7617 | | 0.2017 | 73.0 | 11388 | 1.3894 | 0.7653 | | 0.1889 | 74.0 | 11544 | 1.3723 | 0.7690 | | 0.1889 | 75.0 | 11700 | 1.4901 | 0.7581 | | 0.1889 | 76.0 | 11856 | 1.4329 | 0.7617 | | 0.1929 | 77.0 | 12012 | 1.4548 | 0.7653 | | 0.1929 | 78.0 | 12168 | 1.4404 | 0.7617 | | 0.1929 | 79.0 | 12324 | 1.4248 | 0.7653 | | 0.1929 | 80.0 | 12480 | 1.4601 | 0.7617 | ### Framework versions - Transformers 4.26.1 - Pytorch 2.0.1+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3