update model card README.md
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README.md
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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: '20230822010704'
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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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# 20230822010704
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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: 12.2037
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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: 0.0005
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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 | 33.1191 | 0.4513 |
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| 33.504 | 2.0 | 624 | 30.1105 | 0.5126 |
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| 33.504 | 3.0 | 936 | 28.6596 | 0.4729 |
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| 29.6796 | 4.0 | 1248 | 28.1189 | 0.5018 |
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| 28.1744 | 5.0 | 1560 | 24.7761 | 0.4729 |
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| 28.1744 | 6.0 | 1872 | 21.9627 | 0.5235 |
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| 24.4505 | 7.0 | 2184 | 19.0019 | 0.5271 |
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| 24.4505 | 8.0 | 2496 | 17.1277 | 0.5271 |
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| 21.3932 | 9.0 | 2808 | 16.1660 | 0.5271 |
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| 19.6922 | 10.0 | 3120 | 15.5951 | 0.5271 |
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| 19.6922 | 11.0 | 3432 | 15.0824 | 0.4729 |
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| 18.9663 | 12.0 | 3744 | 14.8520 | 0.4729 |
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| 18.4915 | 13.0 | 4056 | 14.5191 | 0.4729 |
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| 18.4915 | 14.0 | 4368 | 14.2798 | 0.4729 |
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| 18.1712 | 15.0 | 4680 | 14.1216 | 0.4729 |
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| 18.1712 | 16.0 | 4992 | 13.9650 | 0.5271 |
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| 17.9497 | 17.0 | 5304 | 13.8237 | 0.5307 |
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| 17.7679 | 18.0 | 5616 | 13.7031 | 0.5271 |
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| 17.7679 | 19.0 | 5928 | 13.6600 | 0.4729 |
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| 17.6276 | 20.0 | 6240 | 13.4947 | 0.5271 |
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| 17.4928 | 21.0 | 6552 | 13.3930 | 0.4729 |
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| 17.4928 | 22.0 | 6864 | 13.3240 | 0.5271 |
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| 17.3723 | 23.0 | 7176 | 13.2304 | 0.5271 |
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| 17.3723 | 24.0 | 7488 | 13.1542 | 0.4729 |
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| 17.2738 | 25.0 | 7800 | 13.0519 | 0.5271 |
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| 17.1691 | 26.0 | 8112 | 13.0350 | 0.4729 |
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| 17.1691 | 27.0 | 8424 | 12.9247 | 0.4729 |
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| 17.0746 | 28.0 | 8736 | 12.8456 | 0.5126 |
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| 16.9881 | 29.0 | 9048 | 12.7944 | 0.4729 |
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| 16.9881 | 30.0 | 9360 | 12.7474 | 0.4729 |
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| 16.9201 | 31.0 | 9672 | 12.7131 | 0.5271 |
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| 16.9201 | 32.0 | 9984 | 12.6670 | 0.4729 |
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| 16.8521 | 33.0 | 10296 | 12.6285 | 0.5271 |
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| 16.7917 | 34.0 | 10608 | 12.5831 | 0.4729 |
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| 16.7917 | 35.0 | 10920 | 12.5488 | 0.5271 |
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| 16.7467 | 36.0 | 11232 | 12.5223 | 0.4729 |
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| 16.7092 | 37.0 | 11544 | 12.4885 | 0.4729 |
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| 16.7092 | 38.0 | 11856 | 12.4606 | 0.5271 |
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| 16.6584 | 39.0 | 12168 | 12.4352 | 0.5271 |
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| 16.6584 | 40.0 | 12480 | 12.4116 | 0.4729 |
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| 16.6245 | 41.0 | 12792 | 12.3909 | 0.5271 |
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| 16.5986 | 42.0 | 13104 | 12.4119 | 0.4729 |
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| 16.5986 | 43.0 | 13416 | 12.3479 | 0.5271 |
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| 16.5728 | 44.0 | 13728 | 12.3328 | 0.4729 |
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| 16.5395 | 45.0 | 14040 | 12.3359 | 0.4729 |
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| 16.5395 | 46.0 | 14352 | 12.3195 | 0.4729 |
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| 16.5222 | 47.0 | 14664 | 12.3031 | 0.4729 |
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| 16.5222 | 48.0 | 14976 | 12.2788 | 0.5271 |
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| 16.5068 | 49.0 | 15288 | 12.2630 | 0.5596 |
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| 16.4947 | 50.0 | 15600 | 12.2533 | 0.4729 |
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| 16.4947 | 51.0 | 15912 | 12.2531 | 0.4729 |
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| 16.4716 | 52.0 | 16224 | 12.2479 | 0.4729 |
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| 16.4646 | 53.0 | 16536 | 12.2272 | 0.5271 |
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| 16.4646 | 54.0 | 16848 | 12.2213 | 0.5271 |
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| 16.4479 | 55.0 | 17160 | 12.2177 | 0.4729 |
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| 16.4479 | 56.0 | 17472 | 12.2112 | 0.4765 |
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| 16.447 | 57.0 | 17784 | 12.2106 | 0.4729 |
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| 16.4403 | 58.0 | 18096 | 12.2055 | 0.4729 |
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| 16.4403 | 59.0 | 18408 | 12.2039 | 0.4729 |
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| 16.4371 | 60.0 | 18720 | 12.2037 | 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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