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dkqjrm
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20230824064723

Text Classification
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bert
Generated from Trainer
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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: '20230824064723'
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+ results: []
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+ ---
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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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+
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+ # 20230824064723
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+
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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: 0.6742
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+ - Accuracy: 0.7076
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | No log | 1.0 | 312 | 1.0968 | 0.5307 |
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+ | 0.8903 | 2.0 | 624 | 0.9977 | 0.4729 |
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+ | 0.8903 | 3.0 | 936 | 0.6500 | 0.5415 |
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+ | 0.813 | 4.0 | 1248 | 0.8148 | 0.4729 |
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+ | 0.7606 | 5.0 | 1560 | 0.6263 | 0.5993 |
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+ | 0.7606 | 6.0 | 1872 | 0.7920 | 0.6245 |
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+ | 0.7342 | 7.0 | 2184 | 1.2811 | 0.5884 |
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+ | 0.7342 | 8.0 | 2496 | 0.5840 | 0.6462 |
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+ | 0.6906 | 9.0 | 2808 | 0.5715 | 0.6751 |
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+ | 0.6551 | 10.0 | 3120 | 0.5806 | 0.6859 |
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+ | 0.6551 | 11.0 | 3432 | 0.5498 | 0.6823 |
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+ | 0.6197 | 12.0 | 3744 | 0.6886 | 0.6968 |
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+ | 0.5972 | 13.0 | 4056 | 1.1724 | 0.4477 |
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+ | 0.5972 | 14.0 | 4368 | 0.6682 | 0.6101 |
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+ | 0.7875 | 15.0 | 4680 | 0.6779 | 0.5560 |
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+ | 0.7875 | 16.0 | 4992 | 0.9667 | 0.6354 |
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+ | 0.6467 | 17.0 | 5304 | 0.9092 | 0.6606 |
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+ | 0.5892 | 18.0 | 5616 | 0.6701 | 0.4621 |
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+ | 0.5892 | 19.0 | 5928 | 0.6021 | 0.6643 |
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+ | 0.6056 | 20.0 | 6240 | 0.8808 | 0.6787 |
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+ | 0.5409 | 21.0 | 6552 | 0.5458 | 0.6751 |
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+ | 0.5409 | 22.0 | 6864 | 0.5723 | 0.6859 |
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+ | 0.5387 | 23.0 | 7176 | 0.9638 | 0.6679 |
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+ | 0.5387 | 24.0 | 7488 | 0.7176 | 0.6968 |
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+ | 0.511 | 25.0 | 7800 | 0.6557 | 0.6895 |
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+ | 0.4744 | 26.0 | 8112 | 0.5338 | 0.7148 |
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+ | 0.4744 | 27.0 | 8424 | 0.5646 | 0.7076 |
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+ | 0.4743 | 28.0 | 8736 | 0.5423 | 0.7040 |
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+ | 0.4598 | 29.0 | 9048 | 0.6324 | 0.7076 |
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+ | 0.4598 | 30.0 | 9360 | 0.7069 | 0.7004 |
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+ | 0.4485 | 31.0 | 9672 | 0.6809 | 0.6859 |
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+ | 0.4485 | 32.0 | 9984 | 0.5675 | 0.7076 |
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+ | 0.442 | 33.0 | 10296 | 0.8006 | 0.6895 |
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+ | 0.4141 | 34.0 | 10608 | 0.5902 | 0.7112 |
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+ | 0.4141 | 35.0 | 10920 | 0.6252 | 0.7148 |
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+ | 0.4054 | 36.0 | 11232 | 0.8398 | 0.7112 |
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+ | 0.3819 | 37.0 | 11544 | 0.7482 | 0.7004 |
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+ | 0.3819 | 38.0 | 11856 | 0.6538 | 0.7112 |
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+ | 0.3825 | 39.0 | 12168 | 0.7720 | 0.6968 |
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+ | 0.3825 | 40.0 | 12480 | 0.6094 | 0.6931 |
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+ | 0.379 | 41.0 | 12792 | 0.5863 | 0.7040 |
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+ | 0.3701 | 42.0 | 13104 | 0.6197 | 0.7040 |
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+ | 0.3701 | 43.0 | 13416 | 0.5795 | 0.7112 |
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+ | 0.3576 | 44.0 | 13728 | 0.6484 | 0.7076 |
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+ | 0.3454 | 45.0 | 14040 | 0.6623 | 0.6968 |
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+ | 0.3454 | 46.0 | 14352 | 0.6562 | 0.7220 |
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+ | 0.3455 | 47.0 | 14664 | 0.5921 | 0.7184 |
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+ | 0.3455 | 48.0 | 14976 | 0.6980 | 0.7112 |
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+ | 0.3344 | 49.0 | 15288 | 0.6210 | 0.7004 |
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+ | 0.3285 | 50.0 | 15600 | 0.5674 | 0.7184 |
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+ | 0.3285 | 51.0 | 15912 | 0.6134 | 0.7040 |
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+ | 0.3295 | 52.0 | 16224 | 0.7118 | 0.7148 |
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+ | 0.3181 | 53.0 | 16536 | 0.6978 | 0.7040 |
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+ | 0.3181 | 54.0 | 16848 | 0.6851 | 0.7112 |
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+ | 0.3021 | 55.0 | 17160 | 0.7702 | 0.7040 |
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+ | 0.3021 | 56.0 | 17472 | 0.7319 | 0.7040 |
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+ | 0.3044 | 57.0 | 17784 | 0.6459 | 0.7076 |
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+ | 0.2938 | 58.0 | 18096 | 0.6386 | 0.7076 |
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+ | 0.2938 | 59.0 | 18408 | 0.6550 | 0.7004 |
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+ | 0.2991 | 60.0 | 18720 | 0.6742 | 0.7076 |
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+
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+
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+ ### Framework versions
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+
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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