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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: '20230824002436' |
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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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# 20230824002436 |
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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: 0.3260 |
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- Accuracy: 0.7292 |
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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: 0.003 |
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- train_batch_size: 4 |
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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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| 0.7465 | 1.0 | 623 | 0.7703 | 0.4729 | |
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| 0.5877 | 2.0 | 1246 | 0.4425 | 0.5090 | |
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| 0.601 | 3.0 | 1869 | 0.7166 | 0.4729 | |
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| 0.6044 | 4.0 | 2492 | 0.3819 | 0.6354 | |
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| 0.5254 | 5.0 | 3115 | 0.3658 | 0.6715 | |
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| 0.5948 | 6.0 | 3738 | 0.3669 | 0.6390 | |
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| 0.5077 | 7.0 | 4361 | 0.5755 | 0.5993 | |
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| 0.5077 | 8.0 | 4984 | 0.3389 | 0.7112 | |
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| 0.4643 | 9.0 | 5607 | 0.3560 | 0.6823 | |
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| 0.4111 | 10.0 | 6230 | 0.3375 | 0.7076 | |
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| 0.375 | 11.0 | 6853 | 0.3139 | 0.7256 | |
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| 0.3742 | 12.0 | 7476 | 0.3819 | 0.6787 | |
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| 0.3684 | 13.0 | 8099 | 0.3748 | 0.6751 | |
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| 0.3583 | 14.0 | 8722 | 0.3890 | 0.7076 | |
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| 0.3353 | 15.0 | 9345 | 0.3064 | 0.6968 | |
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| 0.3161 | 16.0 | 9968 | 0.3082 | 0.7184 | |
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| 0.3045 | 17.0 | 10591 | 0.3120 | 0.7040 | |
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| 0.295 | 18.0 | 11214 | 0.2949 | 0.7292 | |
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| 0.3133 | 19.0 | 11837 | 0.3082 | 0.7365 | |
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| 0.2938 | 20.0 | 12460 | 0.3041 | 0.7473 | |
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| 0.2857 | 21.0 | 13083 | 0.3251 | 0.7401 | |
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| 0.2837 | 22.0 | 13706 | 0.3717 | 0.7256 | |
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| 0.2788 | 23.0 | 14329 | 0.4261 | 0.7112 | |
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| 0.2677 | 24.0 | 14952 | 0.3189 | 0.7148 | |
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| 0.2494 | 25.0 | 15575 | 0.3107 | 0.7365 | |
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| 0.2404 | 26.0 | 16198 | 0.3337 | 0.7473 | |
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| 0.245 | 27.0 | 16821 | 0.3148 | 0.7329 | |
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| 0.2475 | 28.0 | 17444 | 0.3240 | 0.7401 | |
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| 0.2377 | 29.0 | 18067 | 0.3512 | 0.7329 | |
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| 0.2354 | 30.0 | 18690 | 0.3480 | 0.7365 | |
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| 0.2335 | 31.0 | 19313 | 0.3320 | 0.7256 | |
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| 0.2265 | 32.0 | 19936 | 0.3071 | 0.7184 | |
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| 0.2184 | 33.0 | 20559 | 0.3501 | 0.7509 | |
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| 0.2189 | 34.0 | 21182 | 0.3220 | 0.7112 | |
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| 0.2157 | 35.0 | 21805 | 0.3174 | 0.7256 | |
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| 0.2238 | 36.0 | 22428 | 0.3203 | 0.7292 | |
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| 0.2099 | 37.0 | 23051 | 0.3346 | 0.7365 | |
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| 0.2084 | 38.0 | 23674 | 0.3103 | 0.7365 | |
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| 0.195 | 39.0 | 24297 | 0.3193 | 0.7292 | |
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| 0.201 | 40.0 | 24920 | 0.3131 | 0.7112 | |
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| 0.1936 | 41.0 | 25543 | 0.3101 | 0.7220 | |
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| 0.1944 | 42.0 | 26166 | 0.3092 | 0.7256 | |
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| 0.1975 | 43.0 | 26789 | 0.3314 | 0.7329 | |
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| 0.1864 | 44.0 | 27412 | 0.3140 | 0.7437 | |
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| 0.189 | 45.0 | 28035 | 0.3402 | 0.7256 | |
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| 0.1855 | 46.0 | 28658 | 0.3229 | 0.7220 | |
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| 0.1813 | 47.0 | 29281 | 0.3156 | 0.7256 | |
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| 0.1877 | 48.0 | 29904 | 0.3352 | 0.7292 | |
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| 0.1852 | 49.0 | 30527 | 0.3230 | 0.7365 | |
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| 0.1813 | 50.0 | 31150 | 0.3210 | 0.7329 | |
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| 0.1789 | 51.0 | 31773 | 0.3391 | 0.7365 | |
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| 0.1764 | 52.0 | 32396 | 0.3290 | 0.7292 | |
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| 0.1837 | 53.0 | 33019 | 0.3237 | 0.7365 | |
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| 0.1759 | 54.0 | 33642 | 0.3219 | 0.7292 | |
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| 0.1681 | 55.0 | 34265 | 0.3169 | 0.7401 | |
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| 0.1769 | 56.0 | 34888 | 0.3361 | 0.7329 | |
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| 0.1725 | 57.0 | 35511 | 0.3282 | 0.7401 | |
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| 0.1681 | 58.0 | 36134 | 0.3257 | 0.7365 | |
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| 0.1729 | 59.0 | 36757 | 0.3269 | 0.7292 | |
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| 0.1694 | 60.0 | 37380 | 0.3260 | 0.7292 | |
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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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