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20230822202056

Text Classification
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bert
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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: '20230822202056'
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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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+ # 20230822202056
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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: 0.1724
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+ - Accuracy: 0.7112
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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: 8
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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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+ | No log | 1.0 | 312 | 0.1785 | 0.5307 |
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+ | 0.2552 | 2.0 | 624 | 0.1826 | 0.5054 |
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+ | 0.2552 | 3.0 | 936 | 0.3328 | 0.4729 |
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+ | 0.24 | 4.0 | 1248 | 0.2050 | 0.4729 |
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+ | 0.2369 | 5.0 | 1560 | 0.1750 | 0.6065 |
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+ | 0.2369 | 6.0 | 1872 | 0.1752 | 0.4765 |
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+ | 0.2199 | 7.0 | 2184 | 0.1799 | 0.5921 |
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+ | 0.2199 | 8.0 | 2496 | 0.1896 | 0.4729 |
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+ | 0.1955 | 9.0 | 2808 | 0.1727 | 0.6245 |
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+ | 0.185 | 10.0 | 3120 | 0.1734 | 0.5668 |
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+ | 0.185 | 11.0 | 3432 | 0.1781 | 0.5812 |
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+ | 0.184 | 12.0 | 3744 | 0.1711 | 0.6318 |
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+ | 0.1819 | 13.0 | 4056 | 0.1783 | 0.4910 |
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+ | 0.1819 | 14.0 | 4368 | 0.1703 | 0.6534 |
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+ | 0.1793 | 15.0 | 4680 | 0.1697 | 0.6931 |
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+ | 0.1793 | 16.0 | 4992 | 0.1710 | 0.6643 |
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+ | 0.179 | 17.0 | 5304 | 0.1728 | 0.6534 |
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+ | 0.1784 | 18.0 | 5616 | 0.1712 | 0.6498 |
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+ | 0.1784 | 19.0 | 5928 | 0.1726 | 0.6065 |
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+ | 0.1778 | 20.0 | 6240 | 0.1720 | 0.6679 |
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+ | 0.1761 | 21.0 | 6552 | 0.1724 | 0.6606 |
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+ | 0.1761 | 22.0 | 6864 | 0.1792 | 0.6534 |
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+ | 0.1761 | 23.0 | 7176 | 0.1700 | 0.6715 |
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+ | 0.1761 | 24.0 | 7488 | 0.1698 | 0.6679 |
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+ | 0.1748 | 25.0 | 7800 | 0.1697 | 0.6968 |
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+ | 0.1744 | 26.0 | 8112 | 0.1729 | 0.6859 |
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+ | 0.1744 | 27.0 | 8424 | 0.1702 | 0.6570 |
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+ | 0.1736 | 28.0 | 8736 | 0.1708 | 0.6931 |
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+ | 0.1723 | 29.0 | 9048 | 0.1698 | 0.6787 |
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+ | 0.1723 | 30.0 | 9360 | 0.1799 | 0.6462 |
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+ | 0.1735 | 31.0 | 9672 | 0.1727 | 0.6751 |
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+ | 0.1735 | 32.0 | 9984 | 0.1732 | 0.6498 |
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+ | 0.1722 | 33.0 | 10296 | 0.1702 | 0.6751 |
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+ | 0.1709 | 34.0 | 10608 | 0.1707 | 0.6968 |
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+ | 0.1709 | 35.0 | 10920 | 0.1714 | 0.6968 |
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+ | 0.1697 | 36.0 | 11232 | 0.1712 | 0.6751 |
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+ | 0.1696 | 37.0 | 11544 | 0.1788 | 0.6570 |
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+ | 0.1696 | 38.0 | 11856 | 0.1703 | 0.6787 |
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+ | 0.1697 | 39.0 | 12168 | 0.1735 | 0.6751 |
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+ | 0.1697 | 40.0 | 12480 | 0.1740 | 0.6787 |
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+ | 0.1683 | 41.0 | 12792 | 0.1710 | 0.6895 |
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+ | 0.1688 | 42.0 | 13104 | 0.1724 | 0.7076 |
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+ | 0.1688 | 43.0 | 13416 | 0.1718 | 0.7004 |
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+ | 0.1679 | 44.0 | 13728 | 0.1736 | 0.7040 |
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+ | 0.1681 | 45.0 | 14040 | 0.1720 | 0.7040 |
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+ | 0.1681 | 46.0 | 14352 | 0.1717 | 0.7076 |
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+ | 0.1664 | 47.0 | 14664 | 0.1710 | 0.6895 |
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+ | 0.1664 | 48.0 | 14976 | 0.1766 | 0.6895 |
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+ | 0.1662 | 49.0 | 15288 | 0.1729 | 0.7040 |
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+ | 0.1655 | 50.0 | 15600 | 0.1704 | 0.7076 |
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+ | 0.1655 | 51.0 | 15912 | 0.1711 | 0.7184 |
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+ | 0.1665 | 52.0 | 16224 | 0.1709 | 0.7040 |
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+ | 0.1651 | 53.0 | 16536 | 0.1711 | 0.6931 |
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+ | 0.1651 | 54.0 | 16848 | 0.1736 | 0.7040 |
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+ | 0.1646 | 55.0 | 17160 | 0.1712 | 0.7112 |
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+ | 0.1646 | 56.0 | 17472 | 0.1740 | 0.7076 |
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+ | 0.1647 | 57.0 | 17784 | 0.1723 | 0.7076 |
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+ | 0.1642 | 58.0 | 18096 | 0.1715 | 0.7004 |
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+ | 0.1642 | 59.0 | 18408 | 0.1727 | 0.7076 |
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+ | 0.1643 | 60.0 | 18720 | 0.1724 | 0.7112 |
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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