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README.md
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1246
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- Rouge2 Precision: 0.
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- Rouge2 Recall: 0.
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- Rouge2 Fmeasure: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.1953 | 1.0 | 4049 | 0.1574 | 0.7939 | 0.7035 | 0.739 |
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| 0.1644 | 2.0 | 8098 | 0.1375 | 0.8082 | 0.7167 | 0.
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| 0.1517 | 3.0 | 12147 | 0.1296 | 0.8141 | 0.
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| 0.146 | 4.0 | 16196 | 0.1256 | 0.
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| 0.1413 | 5.0 | 20245 | 0.1246 | 0.
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### Framework versions
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1246
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- Rouge2 Precision: 0.8182
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- Rouge2 Recall: 0.7261
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- Rouge2 Fmeasure: 0.7623
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.1953 | 1.0 | 4049 | 0.1574 | 0.7939 | 0.7035 | 0.739 |
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| 0.1644 | 2.0 | 8098 | 0.1375 | 0.8082 | 0.7167 | 0.7527 |
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| 0.1517 | 3.0 | 12147 | 0.1296 | 0.8141 | 0.7223 | 0.7584 |
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| 0.146 | 4.0 | 16196 | 0.1256 | 0.817 | 0.7253 | 0.7613 |
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| 0.1413 | 5.0 | 20245 | 0.1246 | 0.8182 | 0.7261 | 0.7623 |
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### Framework versions
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