| --- |
| license: apache-2.0 |
| base_model: cssupport/t5-small-awesome-text-to-sql |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: Text2SQL-StudentProject-domain |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Text2SQL-StudentProject-domain |
|
|
| This model is a fine-tuned version of [cssupport/t5-small-awesome-text-to-sql](https://huggingface.co/cssupport/t5-small-awesome-text-to-sql) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0454 |
| - Rouge1: 0.3934 |
| - Rouge2: 0.2246 |
| - Rougel: 0.3769 |
| - Rougelsum: 0.3750 |
|
|
| ## 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 |
|
|
| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | No log | 1.0 | 21 | 2.6820 | 0.3744 | 0.1996 | 0.3567 | 0.3541 | |
| | No log | 2.0 | 42 | 2.3569 | 0.3835 | 0.2191 | 0.3667 | 0.3651 | |
| | No log | 3.0 | 63 | 2.1723 | 0.3904 | 0.2216 | 0.3746 | 0.3725 | |
| | No log | 4.0 | 84 | 2.0758 | 0.3899 | 0.2214 | 0.3728 | 0.3708 | |
| | No log | 5.0 | 105 | 2.0454 | 0.3934 | 0.2246 | 0.3769 | 0.3750 | |
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| ### Framework versions |
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|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
