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20230825091928

Text Classification
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bert
Generated from Trainer
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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: '20230825091928'
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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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+ # 20230825091928
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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: 0.1543
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+ - Accuracy: 0.7437
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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: 0.005
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+ - train_batch_size: 16
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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: 80.0
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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 | 156 | 0.6113 | 0.5307 |
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+ | No log | 2.0 | 312 | 0.9432 | 0.4693 |
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+ | No log | 3.0 | 468 | 0.9610 | 0.4729 |
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+ | 0.8937 | 4.0 | 624 | 0.5415 | 0.5487 |
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+ | 0.8937 | 5.0 | 780 | 0.4722 | 0.6209 |
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+ | 0.8937 | 6.0 | 936 | 0.4314 | 0.6390 |
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+ | 0.7579 | 7.0 | 1092 | 0.7937 | 0.5704 |
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+ | 0.7579 | 8.0 | 1248 | 0.4160 | 0.6282 |
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+ | 0.7579 | 9.0 | 1404 | 0.3071 | 0.6787 |
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+ | 0.7059 | 10.0 | 1560 | 0.4325 | 0.6498 |
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+ | 0.7059 | 11.0 | 1716 | 0.7958 | 0.5090 |
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+ | 0.7059 | 12.0 | 1872 | 0.3046 | 0.6823 |
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+ | 0.654 | 13.0 | 2028 | 0.3405 | 0.7220 |
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+ | 0.654 | 14.0 | 2184 | 0.2875 | 0.6751 |
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+ | 0.654 | 15.0 | 2340 | 0.4266 | 0.6426 |
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+ | 0.654 | 16.0 | 2496 | 0.5710 | 0.5957 |
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+ | 0.6649 | 17.0 | 2652 | 0.3009 | 0.7256 |
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+ | 0.6649 | 18.0 | 2808 | 0.7588 | 0.6534 |
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+ | 0.6649 | 19.0 | 2964 | 0.2785 | 0.7292 |
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+ | 0.5523 | 20.0 | 3120 | 0.2400 | 0.6895 |
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+ | 0.5523 | 21.0 | 3276 | 0.2582 | 0.6859 |
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+ | 0.5523 | 22.0 | 3432 | 0.3514 | 0.6462 |
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+ | 0.511 | 23.0 | 3588 | 0.2163 | 0.7112 |
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+ | 0.511 | 24.0 | 3744 | 0.2226 | 0.7076 |
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+ | 0.511 | 25.0 | 3900 | 0.2138 | 0.7148 |
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+ | 0.4948 | 26.0 | 4056 | 0.2851 | 0.7437 |
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+ | 0.4948 | 27.0 | 4212 | 0.2584 | 0.7220 |
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+ | 0.4948 | 28.0 | 4368 | 0.2217 | 0.7401 |
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+ | 0.4342 | 29.0 | 4524 | 0.2014 | 0.7076 |
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+ | 0.4342 | 30.0 | 4680 | 0.1907 | 0.7184 |
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+ | 0.4342 | 31.0 | 4836 | 0.2176 | 0.7076 |
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+ | 0.4342 | 32.0 | 4992 | 0.1863 | 0.7184 |
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+ | 0.4098 | 33.0 | 5148 | 0.1862 | 0.7292 |
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+ | 0.4098 | 34.0 | 5304 | 0.2253 | 0.7292 |
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+ | 0.4098 | 35.0 | 5460 | 0.1960 | 0.7256 |
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+ | 0.3743 | 36.0 | 5616 | 0.2416 | 0.7401 |
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+ | 0.3743 | 37.0 | 5772 | 0.1988 | 0.7292 |
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+ | 0.3743 | 38.0 | 5928 | 0.2031 | 0.7076 |
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+ | 0.3477 | 39.0 | 6084 | 0.1847 | 0.7292 |
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+ | 0.3477 | 40.0 | 6240 | 0.2001 | 0.7220 |
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+ | 0.3477 | 41.0 | 6396 | 0.1955 | 0.7401 |
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+ | 0.3221 | 42.0 | 6552 | 0.2075 | 0.7329 |
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+ | 0.3221 | 43.0 | 6708 | 0.1751 | 0.7365 |
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+ | 0.3221 | 44.0 | 6864 | 0.2256 | 0.7148 |
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+ | 0.3034 | 45.0 | 7020 | 0.1913 | 0.7329 |
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+ | 0.3034 | 46.0 | 7176 | 0.1867 | 0.7437 |
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+ | 0.3034 | 47.0 | 7332 | 0.1842 | 0.7292 |
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+ | 0.3034 | 48.0 | 7488 | 0.1719 | 0.7365 |
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+ | 0.2656 | 49.0 | 7644 | 0.1810 | 0.7617 |
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+ | 0.2656 | 50.0 | 7800 | 0.2172 | 0.7256 |
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+ | 0.2656 | 51.0 | 7956 | 0.2065 | 0.7545 |
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+ | 0.2676 | 52.0 | 8112 | 0.1682 | 0.7473 |
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+ | 0.2676 | 53.0 | 8268 | 0.1819 | 0.7329 |
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+ | 0.2676 | 54.0 | 8424 | 0.1703 | 0.7509 |
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+ | 0.2396 | 55.0 | 8580 | 0.1971 | 0.7509 |
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+ | 0.2396 | 56.0 | 8736 | 0.1889 | 0.7365 |
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+ | 0.2396 | 57.0 | 8892 | 0.2933 | 0.6968 |
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+ | 0.2355 | 58.0 | 9048 | 0.1650 | 0.7509 |
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+ | 0.2355 | 59.0 | 9204 | 0.1760 | 0.7473 |
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+ | 0.2355 | 60.0 | 9360 | 0.1553 | 0.7581 |
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+ | 0.2196 | 61.0 | 9516 | 0.1707 | 0.7437 |
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+ | 0.2196 | 62.0 | 9672 | 0.1933 | 0.7401 |
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+ | 0.2196 | 63.0 | 9828 | 0.1726 | 0.7401 |
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+ | 0.2196 | 64.0 | 9984 | 0.1654 | 0.7509 |
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+ | 0.2114 | 65.0 | 10140 | 0.1783 | 0.7401 |
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+ | 0.2114 | 66.0 | 10296 | 0.1724 | 0.7473 |
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+ | 0.2114 | 67.0 | 10452 | 0.1647 | 0.7473 |
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+ | 0.208 | 68.0 | 10608 | 0.1734 | 0.7437 |
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+ | 0.208 | 69.0 | 10764 | 0.1640 | 0.7365 |
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+ | 0.208 | 70.0 | 10920 | 0.1953 | 0.7329 |
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+ | 0.2014 | 71.0 | 11076 | 0.1550 | 0.7509 |
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+ | 0.2014 | 72.0 | 11232 | 0.1781 | 0.7509 |
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+ | 0.2014 | 73.0 | 11388 | 0.1687 | 0.7365 |
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+ | 0.1906 | 74.0 | 11544 | 0.1695 | 0.7473 |
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+ | 0.1906 | 75.0 | 11700 | 0.1560 | 0.7509 |
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+ | 0.1906 | 76.0 | 11856 | 0.1532 | 0.7509 |
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+ | 0.1864 | 77.0 | 12012 | 0.1524 | 0.7401 |
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+ | 0.1864 | 78.0 | 12168 | 0.1537 | 0.7545 |
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+ | 0.1864 | 79.0 | 12324 | 0.1531 | 0.7509 |
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+ | 0.1864 | 80.0 | 12480 | 0.1543 | 0.7437 |
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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