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20230824083855

Text Classification
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - super_glue
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: '20230824083855'
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 20230824083855
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+
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+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0821
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+ - Accuracy: 0.7473
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.003
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 11
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 60.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.5366 | 1.0 | 623 | 0.8415 | 0.4729 |
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+ | 0.3757 | 2.0 | 1246 | 0.3098 | 0.4693 |
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+ | 0.3001 | 3.0 | 1869 | 0.5999 | 0.4729 |
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+ | 0.3227 | 4.0 | 2492 | 0.2808 | 0.4729 |
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+ | 0.3109 | 5.0 | 3115 | 0.2772 | 0.5487 |
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+ | 0.3034 | 6.0 | 3738 | 0.1529 | 0.6029 |
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+ | 0.2648 | 7.0 | 4361 | 0.1565 | 0.6029 |
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+ | 0.2104 | 8.0 | 4984 | 0.1394 | 0.6245 |
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+ | 0.1926 | 9.0 | 5607 | 0.1404 | 0.6390 |
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+ | 0.175 | 10.0 | 6230 | 0.1292 | 0.6859 |
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+ | 0.1634 | 11.0 | 6853 | 0.1174 | 0.7004 |
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+ | 0.1618 | 12.0 | 7476 | 0.1228 | 0.6787 |
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+ | 0.1555 | 13.0 | 8099 | 0.1287 | 0.6534 |
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+ | 0.1534 | 14.0 | 8722 | 0.1461 | 0.6570 |
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+ | 0.1523 | 15.0 | 9345 | 0.1356 | 0.6426 |
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+ | 0.1448 | 16.0 | 9968 | 0.1065 | 0.6968 |
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+ | 0.1402 | 17.0 | 10591 | 0.1011 | 0.7292 |
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+ | 0.1342 | 18.0 | 11214 | 0.1112 | 0.6643 |
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+ | 0.1388 | 19.0 | 11837 | 0.1255 | 0.6823 |
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+ | 0.1281 | 20.0 | 12460 | 0.0965 | 0.7220 |
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+ | 0.128 | 21.0 | 13083 | 0.0985 | 0.7040 |
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+ | 0.1236 | 22.0 | 13706 | 0.1339 | 0.7040 |
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+ | 0.1267 | 23.0 | 14329 | 0.1238 | 0.7365 |
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+ | 0.1186 | 24.0 | 14952 | 0.0942 | 0.7292 |
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+ | 0.1101 | 25.0 | 15575 | 0.0923 | 0.7220 |
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+ | 0.1122 | 26.0 | 16198 | 0.0919 | 0.7401 |
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+ | 0.1088 | 27.0 | 16821 | 0.0893 | 0.7292 |
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+ | 0.1059 | 28.0 | 17444 | 0.0897 | 0.7401 |
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+ | 0.106 | 29.0 | 18067 | 0.0878 | 0.7509 |
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+ | 0.1019 | 30.0 | 18690 | 0.0945 | 0.7365 |
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+ | 0.1047 | 31.0 | 19313 | 0.0900 | 0.7256 |
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+ | 0.1011 | 32.0 | 19936 | 0.0884 | 0.7437 |
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+ | 0.0962 | 33.0 | 20559 | 0.0874 | 0.7329 |
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+ | 0.0971 | 34.0 | 21182 | 0.0933 | 0.7329 |
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+ | 0.0914 | 35.0 | 21805 | 0.0845 | 0.7473 |
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+ | 0.0965 | 36.0 | 22428 | 0.0914 | 0.7365 |
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+ | 0.0914 | 37.0 | 23051 | 0.0855 | 0.7292 |
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+ | 0.0894 | 38.0 | 23674 | 0.0867 | 0.7256 |
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+ | 0.087 | 39.0 | 24297 | 0.0861 | 0.7329 |
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+ | 0.0865 | 40.0 | 24920 | 0.0830 | 0.7329 |
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+ | 0.0851 | 41.0 | 25543 | 0.0827 | 0.7473 |
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+ | 0.0837 | 42.0 | 26166 | 0.0818 | 0.7365 |
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+ | 0.0865 | 43.0 | 26789 | 0.0840 | 0.7401 |
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+ | 0.0807 | 44.0 | 27412 | 0.0815 | 0.7292 |
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+ | 0.0829 | 45.0 | 28035 | 0.0840 | 0.7365 |
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+ | 0.0814 | 46.0 | 28658 | 0.0851 | 0.7401 |
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+ | 0.0798 | 47.0 | 29281 | 0.0841 | 0.7401 |
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+ | 0.0806 | 48.0 | 29904 | 0.0838 | 0.7473 |
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+ | 0.0773 | 49.0 | 30527 | 0.0823 | 0.7401 |
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+ | 0.0769 | 50.0 | 31150 | 0.0813 | 0.7329 |
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+ | 0.0763 | 51.0 | 31773 | 0.0822 | 0.7509 |
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+ | 0.0792 | 52.0 | 32396 | 0.0833 | 0.7365 |
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+ | 0.0772 | 53.0 | 33019 | 0.0819 | 0.7365 |
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+ | 0.0732 | 54.0 | 33642 | 0.0810 | 0.7365 |
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+ | 0.0708 | 55.0 | 34265 | 0.0808 | 0.7365 |
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+ | 0.0741 | 56.0 | 34888 | 0.0824 | 0.7509 |
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+ | 0.0725 | 57.0 | 35511 | 0.0816 | 0.7437 |
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+ | 0.072 | 58.0 | 36134 | 0.0812 | 0.7437 |
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+ | 0.0712 | 59.0 | 36757 | 0.0827 | 0.7401 |
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+ | 0.0707 | 60.0 | 37380 | 0.0821 | 0.7473 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3