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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: '20230823213602' |
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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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# 20230823213602 |
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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: 0.6021 |
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- Accuracy: 0.7076 |
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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 | 0.8868 | 0.4693 | |
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| 0.7276 | 2.0 | 624 | 0.8623 | 0.4729 | |
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| 0.7276 | 3.0 | 936 | 0.6658 | 0.5126 | |
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| 0.7221 | 4.0 | 1248 | 0.7170 | 0.4838 | |
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| 0.6968 | 5.0 | 1560 | 0.6691 | 0.5668 | |
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| 0.6968 | 6.0 | 1872 | 0.6427 | 0.5740 | |
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| 0.6561 | 7.0 | 2184 | 0.8715 | 0.5379 | |
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| 0.6561 | 8.0 | 2496 | 0.6609 | 0.5668 | |
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| 0.6562 | 9.0 | 2808 | 0.6147 | 0.5993 | |
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| 0.6578 | 10.0 | 3120 | 0.6103 | 0.6065 | |
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| 0.6578 | 11.0 | 3432 | 0.7649 | 0.4838 | |
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| 0.6252 | 12.0 | 3744 | 0.5990 | 0.6426 | |
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| 0.6084 | 13.0 | 4056 | 0.5962 | 0.6462 | |
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| 0.6084 | 14.0 | 4368 | 0.5738 | 0.6679 | |
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| 0.5841 | 15.0 | 4680 | 0.6292 | 0.6534 | |
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| 0.5841 | 16.0 | 4992 | 0.7218 | 0.6354 | |
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| 0.5715 | 17.0 | 5304 | 0.5832 | 0.6643 | |
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| 0.5619 | 18.0 | 5616 | 0.5680 | 0.6787 | |
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| 0.5619 | 19.0 | 5928 | 0.7152 | 0.5957 | |
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| 0.5641 | 20.0 | 6240 | 0.7627 | 0.6462 | |
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| 0.5432 | 21.0 | 6552 | 0.5672 | 0.6895 | |
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| 0.5432 | 22.0 | 6864 | 0.6023 | 0.6787 | |
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| 0.5586 | 23.0 | 7176 | 0.6581 | 0.6859 | |
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| 0.5586 | 24.0 | 7488 | 0.5614 | 0.6895 | |
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| 0.5254 | 25.0 | 7800 | 0.7315 | 0.6679 | |
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| 0.5267 | 26.0 | 8112 | 0.5316 | 0.7076 | |
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| 0.5267 | 27.0 | 8424 | 0.5391 | 0.7004 | |
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| 0.5189 | 28.0 | 8736 | 0.5935 | 0.7040 | |
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| 0.5172 | 29.0 | 9048 | 0.5977 | 0.7076 | |
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| 0.5172 | 30.0 | 9360 | 0.5918 | 0.7148 | |
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| 0.5069 | 31.0 | 9672 | 0.7130 | 0.6751 | |
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| 0.5069 | 32.0 | 9984 | 0.6718 | 0.6931 | |
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| 0.4976 | 33.0 | 10296 | 0.5982 | 0.7112 | |
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| 0.4895 | 34.0 | 10608 | 0.5927 | 0.7076 | |
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| 0.4895 | 35.0 | 10920 | 0.5583 | 0.7148 | |
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| 0.4916 | 36.0 | 11232 | 0.5706 | 0.7076 | |
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| 0.4867 | 37.0 | 11544 | 0.6064 | 0.7112 | |
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| 0.4867 | 38.0 | 11856 | 0.5939 | 0.7040 | |
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| 0.4914 | 39.0 | 12168 | 0.6528 | 0.7112 | |
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| 0.4914 | 40.0 | 12480 | 0.5773 | 0.7148 | |
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| 0.4733 | 41.0 | 12792 | 0.5853 | 0.7148 | |
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| 0.4796 | 42.0 | 13104 | 0.5876 | 0.7329 | |
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| 0.4796 | 43.0 | 13416 | 0.6521 | 0.7112 | |
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| 0.4706 | 44.0 | 13728 | 0.6386 | 0.7004 | |
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| 0.4655 | 45.0 | 14040 | 0.5846 | 0.7401 | |
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| 0.4655 | 46.0 | 14352 | 0.6645 | 0.7004 | |
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| 0.4654 | 47.0 | 14664 | 0.5831 | 0.7292 | |
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| 0.4654 | 48.0 | 14976 | 0.6665 | 0.7040 | |
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| 0.4567 | 49.0 | 15288 | 0.5760 | 0.7220 | |
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| 0.4563 | 50.0 | 15600 | 0.5796 | 0.7292 | |
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| 0.4563 | 51.0 | 15912 | 0.5656 | 0.7256 | |
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| 0.4471 | 52.0 | 16224 | 0.5585 | 0.7329 | |
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| 0.4484 | 53.0 | 16536 | 0.6286 | 0.7076 | |
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| 0.4484 | 54.0 | 16848 | 0.6116 | 0.7040 | |
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| 0.4424 | 55.0 | 17160 | 0.5852 | 0.7220 | |
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| 0.4424 | 56.0 | 17472 | 0.6008 | 0.7040 | |
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| 0.4439 | 57.0 | 17784 | 0.5777 | 0.7292 | |
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| 0.442 | 58.0 | 18096 | 0.5915 | 0.7184 | |
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| 0.442 | 59.0 | 18408 | 0.5930 | 0.7148 | |
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| 0.4411 | 60.0 | 18720 | 0.6021 | 0.7076 | |
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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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