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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: '20230821215812' |
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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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# 20230821215812 |
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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: 11.6614 |
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- Accuracy: 0.4729 |
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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: 0.001 |
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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 | 30.4563 | 0.5162 | |
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| 31.8281 | 2.0 | 624 | 28.2683 | 0.4729 | |
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| 31.8281 | 3.0 | 936 | 22.4829 | 0.4729 | |
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| 26.6026 | 4.0 | 1248 | 17.2508 | 0.4729 | |
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| 20.7188 | 5.0 | 1560 | 15.6956 | 0.5271 | |
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| 20.7188 | 6.0 | 1872 | 14.7599 | 0.4729 | |
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| 18.7808 | 7.0 | 2184 | 14.4331 | 0.5271 | |
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| 18.7808 | 8.0 | 2496 | 13.9366 | 0.5271 | |
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| 18.0838 | 9.0 | 2808 | 13.6340 | 0.4729 | |
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| 17.722 | 10.0 | 3120 | 13.4379 | 0.4729 | |
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| 17.722 | 11.0 | 3432 | 13.4393 | 0.4729 | |
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| 17.4783 | 12.0 | 3744 | 13.1376 | 0.4729 | |
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| 17.2699 | 13.0 | 4056 | 12.9599 | 0.4729 | |
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| 17.2699 | 14.0 | 4368 | 12.8480 | 0.4729 | |
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| 17.0966 | 15.0 | 4680 | 12.7813 | 0.4729 | |
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| 17.0966 | 16.0 | 4992 | 12.6920 | 0.5271 | |
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| 16.9613 | 17.0 | 5304 | 12.5694 | 0.5271 | |
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| 16.848 | 18.0 | 5616 | 12.5194 | 0.5271 | |
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| 16.848 | 19.0 | 5928 | 12.4591 | 0.4729 | |
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| 16.7661 | 20.0 | 6240 | 12.3827 | 0.5271 | |
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| 16.6825 | 21.0 | 6552 | 12.3410 | 0.4729 | |
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| 16.6825 | 22.0 | 6864 | 12.3241 | 0.5271 | |
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| 16.5963 | 23.0 | 7176 | 12.3296 | 0.5271 | |
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| 16.5963 | 24.0 | 7488 | 12.2611 | 0.4729 | |
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| 16.5513 | 25.0 | 7800 | 12.1515 | 0.5271 | |
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| 16.4926 | 26.0 | 8112 | 12.1194 | 0.4729 | |
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| 16.4926 | 27.0 | 8424 | 12.1052 | 0.4729 | |
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| 16.4398 | 28.0 | 8736 | 12.0516 | 0.5271 | |
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| 16.399 | 29.0 | 9048 | 12.0210 | 0.4946 | |
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| 16.399 | 30.0 | 9360 | 12.0054 | 0.4729 | |
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| 16.3657 | 31.0 | 9672 | 11.9960 | 0.5271 | |
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| 16.3657 | 32.0 | 9984 | 11.9548 | 0.5271 | |
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| 16.3306 | 33.0 | 10296 | 11.9332 | 0.5271 | |
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| 16.294 | 34.0 | 10608 | 11.9148 | 0.4729 | |
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| 16.294 | 35.0 | 10920 | 11.9225 | 0.4729 | |
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| 16.2657 | 36.0 | 11232 | 11.8726 | 0.4765 | |
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| 16.2465 | 37.0 | 11544 | 11.8452 | 0.4729 | |
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| 16.2465 | 38.0 | 11856 | 11.8341 | 0.5271 | |
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| 16.208 | 39.0 | 12168 | 11.8232 | 0.4729 | |
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| 16.208 | 40.0 | 12480 | 11.7979 | 0.4729 | |
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| 16.191 | 41.0 | 12792 | 11.7895 | 0.4729 | |
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| 16.1729 | 42.0 | 13104 | 11.8391 | 0.4729 | |
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| 16.1729 | 43.0 | 13416 | 11.7619 | 0.5271 | |
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| 16.1571 | 44.0 | 13728 | 11.7502 | 0.4729 | |
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| 16.1268 | 45.0 | 14040 | 11.7520 | 0.4729 | |
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| 16.1268 | 46.0 | 14352 | 11.7539 | 0.4729 | |
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| 16.1194 | 47.0 | 14664 | 11.7541 | 0.4729 | |
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| 16.1194 | 48.0 | 14976 | 11.7130 | 0.5271 | |
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| 16.11 | 49.0 | 15288 | 11.7020 | 0.5271 | |
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| 16.0989 | 50.0 | 15600 | 11.6949 | 0.4729 | |
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| 16.0989 | 51.0 | 15912 | 11.7026 | 0.4729 | |
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| 16.0802 | 52.0 | 16224 | 11.7056 | 0.4729 | |
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| 16.0765 | 53.0 | 16536 | 11.6793 | 0.5271 | |
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| 16.0765 | 54.0 | 16848 | 11.6759 | 0.5271 | |
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| 16.0629 | 55.0 | 17160 | 11.6712 | 0.4729 | |
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| 16.0629 | 56.0 | 17472 | 11.6660 | 0.4946 | |
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| 16.0619 | 57.0 | 17784 | 11.6662 | 0.4729 | |
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| 16.0566 | 58.0 | 18096 | 11.6643 | 0.4729 | |
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| 16.0566 | 59.0 | 18408 | 11.6616 | 0.4729 | |
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| 16.0547 | 60.0 | 18720 | 11.6614 | 0.4729 | |
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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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