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--- |
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license: apache-2.0 |
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base_model: cssupport/t5-small-awesome-text-to-sql |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: Text2SQL-StudentProject-domain |
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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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# Text2SQL-StudentProject-domain |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0454 |
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- Rouge1: 0.3934 |
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- Rouge2: 0.2246 |
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- Rougel: 0.3769 |
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- Rougelsum: 0.3750 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 21 | 2.6820 | 0.3744 | 0.1996 | 0.3567 | 0.3541 | |
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| No log | 2.0 | 42 | 2.3569 | 0.3835 | 0.2191 | 0.3667 | 0.3651 | |
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| No log | 3.0 | 63 | 2.1723 | 0.3904 | 0.2216 | 0.3746 | 0.3725 | |
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| No log | 4.0 | 84 | 2.0758 | 0.3899 | 0.2214 | 0.3728 | 0.3708 | |
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| 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 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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