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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: 5e-3_10_0.1 |
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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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# 5e-3_10_0.1 |
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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: 0.6700 |
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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: 0.005 |
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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 | 0.9081 | 0.5271 | |
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| 0.937 | 2.0 | 624 | 0.6140 | 0.5704 | |
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| 0.937 | 3.0 | 936 | 0.8444 | 0.4729 | |
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| 0.8284 | 4.0 | 1248 | 0.7307 | 0.6245 | |
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| 0.8066 | 5.0 | 1560 | 1.2493 | 0.5487 | |
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| 0.8066 | 6.0 | 1872 | 0.6752 | 0.6643 | |
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| 0.7461 | 7.0 | 2184 | 0.8410 | 0.6282 | |
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| 0.7461 | 8.0 | 2496 | 0.7924 | 0.6390 | |
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| 0.6874 | 9.0 | 2808 | 0.6100 | 0.7184 | |
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| 0.67 | 10.0 | 3120 | 0.7658 | 0.6895 | |
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| 0.67 | 11.0 | 3432 | 0.8649 | 0.6426 | |
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| 0.6374 | 12.0 | 3744 | 0.5784 | 0.7545 | |
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| 0.5735 | 13.0 | 4056 | 0.5793 | 0.7292 | |
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| 0.5735 | 14.0 | 4368 | 0.6332 | 0.7437 | |
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| 0.4712 | 15.0 | 4680 | 0.5207 | 0.7581 | |
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| 0.4712 | 16.0 | 4992 | 0.5339 | 0.7292 | |
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| 0.4258 | 17.0 | 5304 | 0.7625 | 0.7220 | |
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| 0.3712 | 18.0 | 5616 | 0.5492 | 0.7365 | |
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| 0.3712 | 19.0 | 5928 | 0.5661 | 0.7437 | |
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| 0.3656 | 20.0 | 6240 | 0.7445 | 0.7184 | |
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| 0.327 | 21.0 | 6552 | 0.5874 | 0.7437 | |
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| 0.327 | 22.0 | 6864 | 0.6301 | 0.7365 | |
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| 0.3015 | 23.0 | 7176 | 0.6740 | 0.7148 | |
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| 0.3015 | 24.0 | 7488 | 0.6599 | 0.7220 | |
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| 0.2929 | 25.0 | 7800 | 0.6697 | 0.7292 | |
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| 0.2609 | 26.0 | 8112 | 0.6871 | 0.7256 | |
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| 0.2609 | 27.0 | 8424 | 0.6303 | 0.7220 | |
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| 0.2581 | 28.0 | 8736 | 0.6768 | 0.7040 | |
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| 0.2504 | 29.0 | 9048 | 0.6986 | 0.7148 | |
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| 0.2504 | 30.0 | 9360 | 0.6783 | 0.7148 | |
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| 0.2313 | 31.0 | 9672 | 0.7120 | 0.7076 | |
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| 0.2313 | 32.0 | 9984 | 0.6227 | 0.7148 | |
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| 0.2209 | 33.0 | 10296 | 0.6961 | 0.7220 | |
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| 0.2141 | 34.0 | 10608 | 0.6817 | 0.7220 | |
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| 0.2141 | 35.0 | 10920 | 0.6810 | 0.7256 | |
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| 0.2129 | 36.0 | 11232 | 0.6567 | 0.7292 | |
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| 0.2053 | 37.0 | 11544 | 0.7469 | 0.7329 | |
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| 0.2053 | 38.0 | 11856 | 0.6684 | 0.7329 | |
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| 0.2014 | 39.0 | 12168 | 0.6540 | 0.7329 | |
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| 0.2014 | 40.0 | 12480 | 0.6679 | 0.7437 | |
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| 0.2012 | 41.0 | 12792 | 0.6582 | 0.7292 | |
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| 0.1957 | 42.0 | 13104 | 0.6635 | 0.7292 | |
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| 0.1957 | 43.0 | 13416 | 0.6715 | 0.7401 | |
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| 0.1903 | 44.0 | 13728 | 0.6628 | 0.7329 | |
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| 0.1861 | 45.0 | 14040 | 0.6674 | 0.7329 | |
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| 0.1861 | 46.0 | 14352 | 0.7008 | 0.7220 | |
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| 0.1858 | 47.0 | 14664 | 0.6371 | 0.7401 | |
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| 0.1858 | 48.0 | 14976 | 0.6630 | 0.7437 | |
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| 0.1852 | 49.0 | 15288 | 0.6353 | 0.7365 | |
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| 0.1868 | 50.0 | 15600 | 0.7010 | 0.7401 | |
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| 0.1868 | 51.0 | 15912 | 0.6572 | 0.7365 | |
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| 0.1813 | 52.0 | 16224 | 0.6531 | 0.7401 | |
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| 0.1807 | 53.0 | 16536 | 0.6413 | 0.7437 | |
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| 0.1807 | 54.0 | 16848 | 0.6605 | 0.7473 | |
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| 0.1792 | 55.0 | 17160 | 0.6498 | 0.7437 | |
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| 0.1792 | 56.0 | 17472 | 0.6865 | 0.7437 | |
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| 0.1764 | 57.0 | 17784 | 0.6660 | 0.7365 | |
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| 0.1726 | 58.0 | 18096 | 0.6829 | 0.7473 | |
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| 0.1726 | 59.0 | 18408 | 0.6730 | 0.7437 | |
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| 0.1761 | 60.0 | 18720 | 0.6700 | 0.7365 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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