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model-index:
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- name: bert_sql_classfication
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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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# bert_sql_classfication
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.7151
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- Accuracy: 0.8624
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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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: 30
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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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| 0.5598 | 1.0 | 62 | 0.5919 | 0.8073 |
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| 0.2769 | 2.0 | 124 | 0.5313 | 0.8349 |
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| 0.3082 | 3.0 | 186 | 0.3577 | 0.9083 |
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| 0.0916 | 4.0 | 248 | 0.6712 | 0.8349 |
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| 0.0708 | 5.0 | 310 | 0.5667 | 0.8257 |
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| 0.0715 | 6.0 | 372 | 0.5633 | 0.8807 |
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| 0.0589 | 7.0 | 434 | 0.8306 | 0.8440 |
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| 0.0022 | 8.0 | 496 | 0.6568 | 0.8624 |
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| 0.005 | 9.0 | 558 | 0.6176 | 0.8716 |
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| 0.0017 | 10.0 | 620 | 0.6524 | 0.8440 |
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| 0.001 | 11.0 | 682 | 0.8272 | 0.8532 |
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| 0.0008 | 12.0 | 744 | 0.5695 | 0.8991 |
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| 0.0006 | 13.0 | 806 | 0.5963 | 0.8991 |
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| 0.0005 | 14.0 | 868 | 0.6273 | 0.8899 |
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| 0.0006 | 15.0 | 930 | 0.6720 | 0.8899 |
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| 0.0005 | 16.0 | 992 | 0.6864 | 0.8716 |
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| 0.0003 | 17.0 | 1054 | 0.6928 | 0.8624 |
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| 0.0004 | 18.0 | 1116 | 0.6931 | 0.8624 |
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| 0.0003 | 19.0 | 1178 | 0.6874 | 0.8624 |
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| 0.0003 | 20.0 | 1240 | 0.6688 | 0.8624 |
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| 0.0003 | 21.0 | 1302 | 0.6989 | 0.8624 |
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| 0.0003 | 22.0 | 1364 | 0.7050 | 0.8624 |
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| 0.0003 | 23.0 | 1426 | 0.7038 | 0.8624 |
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| 0.0002 | 24.0 | 1488 | 0.7083 | 0.8624 |
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| 0.0002 | 25.0 | 1550 | 0.7134 | 0.8624 |
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| 0.0002 | 26.0 | 1612 | 0.7133 | 0.8624 |
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| 0.0002 | 27.0 | 1674 | 0.7151 | 0.8624 |
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| 0.0002 | 28.0 | 1736 | 0.7155 | 0.8624 |
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| 0.0002 | 29.0 | 1798 | 0.7135 | 0.8624 |
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| 0.0002 | 30.0 | 1860 | 0.7151 | 0.8624 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.15.0
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model-index:
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- name: bert_sql_classfication
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results: []
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pipeline_tag: text-classification
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---
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# bert_sql_classfication
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a dataset based on the spider dataset.
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