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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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<!-- 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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# 20230824023615 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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