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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: EN_t5-small_10_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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# EN_t5-small_10_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: 0.1096
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- Rouge2 Precision: 0.8329
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- Rouge2 Recall: 0.741
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- Rouge2 Fmeasure: 0.7772
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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: 10
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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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| 0.1933 | 1.0 | 4049 | 0.1549 | 0.7965 | 0.7075 | 0.7423 |
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| 0.161 | 2.0 | 8098 | 0.1345 | 0.8123 | 0.7211 | 0.7569 |
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| 0.1459 | 3.0 | 12147 | 0.1256 | 0.8165 | 0.7253 | 0.7611 |
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| 0.1371 | 4.0 | 16196 | 0.1194 | 0.8236 | 0.7321 | 0.7681 |
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| 0.1293 | 5.0 | 20245 | 0.1159 | 0.8275 | 0.7355 | 0.7718 |
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| 0.1243 | 6.0 | 24294 | 0.1135 | 0.8283 | 0.7356 | 0.7722 |
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| 0.1245 | 7.0 | 28343 | 0.1116 | 0.831 | 0.7383 | 0.7748 |
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| 0.1167 | 8.0 | 32392 | 0.1104 | 0.8325 | 0.7401 | 0.7765 |
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| 0.1134 | 9.0 | 36441 | 0.1097 | 0.8325 | 0.7408 | 0.7769 |
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| 0.1131 | 10.0 | 40490 | 0.1096 | 0.8329 | 0.741 | 0.7772 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.7.dev0
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- Tokenizers 0.13.3
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