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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- wikisql
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model-index:
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- name: t5-small-finetuned-wikisql
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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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# t5-small-finetuned-wikisql
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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: 0.1271
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- Rouge2 Precision: 0.8165
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- Rouge2 Recall: 0.7252
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- Rouge2 Fmeasure: 0.761
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.2002 | 1.0 | 4049 | 0.1609 | 0.7909 | 0.7013 | 0.7363 |
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| 0.1681 | 2.0 | 8098 | 0.1407 | 0.8055 | 0.7143 | 0.7501 |
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| 0.155 | 3.0 | 12147 | 0.1325 | 0.8119 | 0.7209 | 0.7566 |
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| 0.1498 | 4.0 | 16196 | 0.1285 | 0.8156 | 0.7246 | 0.7604 |
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| 0.145 | 5.0 | 20245 | 0.1271 | 0.8165 | 0.7252 | 0.761 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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