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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-uncased-finetuned-sql-classification-with_question |
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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-base-uncased-finetuned-sql-classification-with_question |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6717 |
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- Accuracy: 0.6 |
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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: 10 |
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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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| 0.684 | 1.0 | 645 | 0.6930 | 0.5442 | |
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| 0.6908 | 2.0 | 1290 | 0.6892 | 0.5442 | |
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| 0.6929 | 3.0 | 1935 | 0.6999 | 0.5442 | |
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| 0.6887 | 4.0 | 2580 | 0.6903 | 0.5442 | |
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| 0.6898 | 5.0 | 3225 | 0.6899 | 0.5442 | |
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| 0.6887 | 6.0 | 3870 | 0.6916 | 0.5442 | |
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| 0.6819 | 7.0 | 4515 | 0.6835 | 0.5550 | |
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| 0.6742 | 8.0 | 5160 | 0.6576 | 0.6047 | |
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| 0.6546 | 9.0 | 5805 | 0.6477 | 0.6147 | |
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| 0.6478 | 10.0 | 6450 | 0.6717 | 0.6 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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