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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: 1.1285 |
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- Rouge1: 0.4284 |
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- Rouge2: 0.2870 |
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- Rougel: 0.4190 |
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- Rougelsum: 0.4200 |
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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: 10 |
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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 | 15 | 1.4839 | 0.4099 | 0.2241 | 0.3759 | 0.3776 | |
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| No log | 2.0 | 30 | 1.3820 | 0.4217 | 0.2599 | 0.3999 | 0.4011 | |
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| No log | 3.0 | 45 | 1.3091 | 0.4183 | 0.2608 | 0.4043 | 0.4046 | |
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| No log | 4.0 | 60 | 1.2522 | 0.4173 | 0.2635 | 0.4045 | 0.4047 | |
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| No log | 5.0 | 75 | 1.2117 | 0.4223 | 0.2730 | 0.4108 | 0.4119 | |
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| No log | 6.0 | 90 | 1.1793 | 0.4262 | 0.2740 | 0.4131 | 0.4143 | |
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| No log | 7.0 | 105 | 1.1566 | 0.4326 | 0.2809 | 0.4198 | 0.4209 | |
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| No log | 8.0 | 120 | 1.1413 | 0.4205 | 0.2766 | 0.4122 | 0.4115 | |
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| No log | 9.0 | 135 | 1.1318 | 0.4226 | 0.2802 | 0.4142 | 0.4136 | |
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| No log | 10.0 | 150 | 1.1285 | 0.4284 | 0.2870 | 0.4190 | 0.4200 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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