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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_5_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_5_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: 0.1248
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- Rouge2 Precision: 0.8184
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- Rouge2 Recall: 0.7263
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- Rouge2 Fmeasure: 0.7626
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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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| 0.1953 | 1.0 | 4049 | 0.1567 | 0.7952 | 0.7063 | 0.7411 |
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| 0.1647 | 2.0 | 8098 | 0.1377 | 0.8094 | 0.7182 | 0.754 |
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| 0.1519 | 3.0 | 12147 | 0.1300 | 0.8145 | 0.7232 | 0.7591 |
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| 0.1458 | 4.0 | 16196 | 0.1259 | 0.8176 | 0.7261 | 0.7621 |
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| 0.142 | 5.0 | 20245 | 0.1248 | 0.8184 | 0.7263 | 0.7626 |
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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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