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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: '20230824023615'
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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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+ # 20230824023615
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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: 0.0725
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+ - Accuracy: 0.7365
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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 | 0.6124 | 0.5271 |
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+ | 0.3459 | 2.0 | 624 | 0.2937 | 0.4729 |
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+ | 0.3459 | 3.0 | 936 | 0.4930 | 0.4693 |
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+ | 0.2482 | 4.0 | 1248 | 0.1965 | 0.4693 |
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+ | 0.2242 | 5.0 | 1560 | 0.2537 | 0.4693 |
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+ | 0.2242 | 6.0 | 1872 | 0.1661 | 0.5632 |
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+ | 0.2359 | 7.0 | 2184 | 0.1414 | 0.6570 |
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+ | 0.2359 | 8.0 | 2496 | 0.1893 | 0.5018 |
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+ | 0.2404 | 9.0 | 2808 | 0.1265 | 0.6173 |
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+ | 0.2198 | 10.0 | 3120 | 0.1214 | 0.6679 |
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+ | 0.2198 | 11.0 | 3432 | 0.1352 | 0.6029 |
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+ | 0.1657 | 12.0 | 3744 | 0.1030 | 0.7040 |
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+ | 0.1472 | 13.0 | 4056 | 0.1043 | 0.6931 |
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+ | 0.1472 | 14.0 | 4368 | 0.1011 | 0.7004 |
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+ | 0.1408 | 15.0 | 4680 | 0.1111 | 0.7148 |
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+ | 0.1408 | 16.0 | 4992 | 0.1046 | 0.6931 |
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+ | 0.1321 | 17.0 | 5304 | 0.0964 | 0.7004 |
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+ | 0.1285 | 18.0 | 5616 | 0.1019 | 0.7220 |
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+ | 0.1285 | 19.0 | 5928 | 0.0927 | 0.7256 |
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+ | 0.1244 | 20.0 | 6240 | 0.0972 | 0.7004 |
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+ | 0.1191 | 21.0 | 6552 | 0.0947 | 0.7076 |
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+ | 0.1191 | 22.0 | 6864 | 0.0983 | 0.7184 |
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+ | 0.1129 | 23.0 | 7176 | 0.1029 | 0.7040 |
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+ | 0.1129 | 24.0 | 7488 | 0.0993 | 0.7112 |
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+ | 0.1115 | 25.0 | 7800 | 0.0933 | 0.7076 |
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+ | 0.1079 | 26.0 | 8112 | 0.1092 | 0.6931 |
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+ | 0.1079 | 27.0 | 8424 | 0.0837 | 0.7437 |
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+ | 0.105 | 28.0 | 8736 | 0.0825 | 0.7256 |
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+ | 0.1049 | 29.0 | 9048 | 0.0809 | 0.7148 |
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+ | 0.1049 | 30.0 | 9360 | 0.0924 | 0.7256 |
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+ | 0.1021 | 31.0 | 9672 | 0.0820 | 0.7292 |
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+ | 0.1021 | 32.0 | 9984 | 0.0793 | 0.7256 |
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+ | 0.099 | 33.0 | 10296 | 0.0820 | 0.7365 |
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+ | 0.0966 | 34.0 | 10608 | 0.0831 | 0.7184 |
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+ | 0.0966 | 35.0 | 10920 | 0.0796 | 0.7256 |
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+ | 0.0928 | 36.0 | 11232 | 0.0790 | 0.7292 |
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+ | 0.0888 | 37.0 | 11544 | 0.0953 | 0.7256 |
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+ | 0.0888 | 38.0 | 11856 | 0.0791 | 0.7437 |
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+ | 0.0905 | 39.0 | 12168 | 0.0849 | 0.7473 |
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+ | 0.0905 | 40.0 | 12480 | 0.0782 | 0.7401 |
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+ | 0.0872 | 41.0 | 12792 | 0.0754 | 0.7292 |
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+ | 0.0853 | 42.0 | 13104 | 0.0770 | 0.7365 |
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+ | 0.0853 | 43.0 | 13416 | 0.0742 | 0.7473 |
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+ | 0.0843 | 44.0 | 13728 | 0.0764 | 0.7220 |
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+ | 0.0826 | 45.0 | 14040 | 0.0765 | 0.7256 |
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+ | 0.0826 | 46.0 | 14352 | 0.0746 | 0.7365 |
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+ | 0.0811 | 47.0 | 14664 | 0.0736 | 0.7292 |
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+ | 0.0811 | 48.0 | 14976 | 0.0824 | 0.7292 |
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+ | 0.079 | 49.0 | 15288 | 0.0749 | 0.7401 |
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+ | 0.0783 | 50.0 | 15600 | 0.0734 | 0.7401 |
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+ | 0.0783 | 51.0 | 15912 | 0.0740 | 0.7401 |
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+ | 0.0806 | 52.0 | 16224 | 0.0749 | 0.7365 |
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+ | 0.078 | 53.0 | 16536 | 0.0729 | 0.7365 |
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+ | 0.078 | 54.0 | 16848 | 0.0728 | 0.7401 |
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+ | 0.0764 | 55.0 | 17160 | 0.0722 | 0.7437 |
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+ | 0.0764 | 56.0 | 17472 | 0.0745 | 0.7365 |
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+ | 0.0766 | 57.0 | 17784 | 0.0730 | 0.7329 |
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+ | 0.0751 | 58.0 | 18096 | 0.0725 | 0.7401 |
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+ | 0.0751 | 59.0 | 18408 | 0.0730 | 0.7365 |
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+ | 0.0765 | 60.0 | 18720 | 0.0725 | 0.7365 |
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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