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: '20230831002857'
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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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# 20230831002857
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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: 0.4933
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- Accuracy: 0.5
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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: 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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### 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 | 340 | 0.5114 | 0.5 |
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| 0.5104 | 2.0 | 680 | 0.5011 | 0.5 |
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| 0.5162 | 3.0 | 1020 | 0.5183 | 0.5 |
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| 0.5162 | 4.0 | 1360 | 0.4985 | 0.5 |
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| 0.5087 | 5.0 | 1700 | 0.5279 | 0.5 |
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| 0.5026 | 6.0 | 2040 | 0.4974 | 0.5 |
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| 0.5026 | 7.0 | 2380 | 0.4970 | 0.5 |
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| 0.5035 | 8.0 | 2720 | 0.5153 | 0.5 |
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| 0.4963 | 9.0 | 3060 | 0.4956 | 0.5 |
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| 0.4963 | 10.0 | 3400 | 0.5024 | 0.5 |
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| 0.4986 | 11.0 | 3740 | 0.4932 | 0.5 |
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| 0.4975 | 12.0 | 4080 | 0.4948 | 0.5 |
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| 0.4975 | 13.0 | 4420 | 0.5179 | 0.5 |
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| 0.4951 | 14.0 | 4760 | 0.4950 | 0.5 |
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| 0.4987 | 15.0 | 5100 | 0.4946 | 0.5 |
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| 0.4987 | 16.0 | 5440 | 0.4961 | 0.5 |
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| 0.4983 | 17.0 | 5780 | 0.4991 | 0.5 |
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| 0.4947 | 18.0 | 6120 | 0.4941 | 0.5 |
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| 0.4947 | 19.0 | 6460 | 0.4925 | 0.5 |
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| 0.4957 | 20.0 | 6800 | 0.4976 | 0.5 |
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| 0.4949 | 21.0 | 7140 | 0.4938 | 0.5 |
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| 0.4949 | 22.0 | 7480 | 0.5070 | 0.5 |
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| 0.497 | 23.0 | 7820 | 0.4950 | 0.5 |
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| 0.4958 | 24.0 | 8160 | 0.4959 | 0.5 |
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| 0.4962 | 25.0 | 8500 | 0.4925 | 0.5 |
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| 0.4962 | 26.0 | 8840 | 0.5414 | 0.5 |
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| 0.5006 | 27.0 | 9180 | 0.4947 | 0.5 |
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| 0.4998 | 28.0 | 9520 | 0.4976 | 0.5 |
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| 0.4998 | 29.0 | 9860 | 0.5053 | 0.5 |
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| 0.4973 | 30.0 | 10200 | 0.4925 | 0.5 |
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| 0.4972 | 31.0 | 10540 | 0.4929 | 0.5 |
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| 0.4972 | 32.0 | 10880 | 0.5097 | 0.5 |
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| 0.4974 | 33.0 | 11220 | 0.4925 | 0.5 |
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| 0.4968 | 34.0 | 11560 | 0.4985 | 0.5 |
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| 0.4968 | 35.0 | 11900 | 0.4975 | 0.5 |
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| 0.4975 | 36.0 | 12240 | 0.4971 | 0.5 |
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| 0.4966 | 37.0 | 12580 | 0.4925 | 0.5 |
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| 0.4966 | 38.0 | 12920 | 0.4933 | 0.5 |
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| 0.4961 | 39.0 | 13260 | 0.5030 | 0.5 |
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| 0.4944 | 40.0 | 13600 | 0.4939 | 0.5 |
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| 0.4944 | 41.0 | 13940 | 0.4926 | 0.5 |
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| 0.4957 | 42.0 | 14280 | 0.4955 | 0.5 |
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| 0.4933 | 43.0 | 14620 | 0.4937 | 0.5 |
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| 0.4933 | 44.0 | 14960 | 0.4942 | 0.5 |
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| 0.496 | 45.0 | 15300 | 0.5004 | 0.5 |
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| 0.493 | 46.0 | 15640 | 0.4936 | 0.5 |
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| 0.493 | 47.0 | 15980 | 0.4977 | 0.5 |
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| 0.4953 | 48.0 | 16320 | 0.4927 | 0.5 |
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| 0.4948 | 49.0 | 16660 | 0.4993 | 0.5 |
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| 0.4939 | 50.0 | 17000 | 0.4928 | 0.5 |
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| 0.4939 | 51.0 | 17340 | 0.4925 | 0.5 |
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| 0.4927 | 52.0 | 17680 | 0.4934 | 0.5 |
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| 0.4962 | 53.0 | 18020 | 0.4943 | 0.5 |
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| 0.4962 | 54.0 | 18360 | 0.4928 | 0.5 |
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| 0.493 | 55.0 | 18700 | 0.4926 | 0.5 |
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| 0.4925 | 56.0 | 19040 | 0.4929 | 0.5 |
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| 0.4925 | 57.0 | 19380 | 0.4926 | 0.5 |
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| 0.493 | 58.0 | 19720 | 0.4931 | 0.5 |
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| 0.4938 | 59.0 | 20060 | 0.5001 | 0.5 |
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| 0.4938 | 60.0 | 20400 | 0.4925 | 0.5 |
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| 0.4923 | 61.0 | 20740 | 0.4928 | 0.5 |
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| 0.4924 | 62.0 | 21080 | 0.4927 | 0.5 |
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| 0.4924 | 63.0 | 21420 | 0.4931 | 0.5 |
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| 0.492 | 64.0 | 21760 | 0.4944 | 0.5 |
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| 0.4945 | 65.0 | 22100 | 0.4928 | 0.5 |
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| 0.4945 | 66.0 | 22440 | 0.4954 | 0.5 |
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| 0.4892 | 67.0 | 22780 | 0.4925 | 0.5 |
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| 0.4932 | 68.0 | 23120 | 0.4934 | 0.5 |
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| 0.4932 | 69.0 | 23460 | 0.4932 | 0.5 |
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| 0.4919 | 70.0 | 23800 | 0.4925 | 0.5 |
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| 0.4916 | 71.0 | 24140 | 0.4930 | 0.5 |
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| 0.4916 | 72.0 | 24480 | 0.4952 | 0.5 |
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| 0.4904 | 73.0 | 24820 | 0.4936 | 0.5 |
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| 0.4924 | 74.0 | 25160 | 0.4951 | 0.5 |
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| 0.4913 | 75.0 | 25500 | 0.4934 | 0.5 |
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| 0.4913 | 76.0 | 25840 | 0.4937 | 0.5 |
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| 0.4921 | 77.0 | 26180 | 0.4927 | 0.5 |
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| 0.4913 | 78.0 | 26520 | 0.4933 | 0.5 |
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| 0.4913 | 79.0 | 26860 | 0.4933 | 0.5 |
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| 0.4917 | 80.0 | 27200 | 0.4933 | 0.5 |
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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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