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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_mt5-base_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_mt5-base_5_wikiSQL
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the wikisql dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0907
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- Rouge2 Precision: 0.8556
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- Rouge2 Recall: 0.7785
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- Rouge2 Fmeasure: 0.8095
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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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| 0.156 | 1.0 | 4049 | 0.1163 | 0.8282 | 0.7534 | 0.7831 |
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| 0.1218 | 2.0 | 8098 | 0.1007 | 0.8452 | 0.7679 | 0.7989 |
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| 0.1056 | 3.0 | 12147 | 0.0944 | 0.8521 | 0.7749 | 0.8058 |
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| 0.0967 | 4.0 | 16196 | 0.0921 | 0.8552 | 0.7784 | 0.8092 |
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| 0.0935 | 5.0 | 20245 | 0.0907 | 0.8556 | 0.7785 | 0.8095 |
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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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