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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_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_mt5-base_10_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: 0.0849
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- Rouge2 Precision: 0.864
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- Rouge2 Recall: 0.787
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- Rouge2 Fmeasure: 0.8178
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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: 21
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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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| 0.1677 | 1.0 | 3085 | 0.1224 | 0.8269 | 0.7506 | 0.7803 |
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| 0.1287 | 2.0 | 6170 | 0.1028 | 0.8458 | 0.7673 | 0.7988 |
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| 0.1086 | 3.0 | 9255 | 0.0959 | 0.8511 | 0.7727 | 0.8042 |
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| 0.0965 | 4.0 | 12340 | 0.0900 | 0.8543 | 0.777 | 0.808 |
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| 0.089 | 5.0 | 15425 | 0.0883 | 0.8575 | 0.7802 | 0.8111 |
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| 0.0809 | 6.0 | 18510 | 0.0866 | 0.8606 | 0.7834 | 0.8143 |
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| 0.0771 | 7.0 | 21595 | 0.0860 | 0.8625 | 0.7851 | 0.8161 |
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| 0.0745 | 8.0 | 24680 | 0.0855 | 0.8633 | 0.7862 | 0.8171 |
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| 0.0715 | 9.0 | 27765 | 0.0848 | 0.8641 | 0.7869 | 0.8178 |
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| 0.0702 | 10.0 | 30850 | 0.0849 | 0.864 | 0.787 | 0.8178 |
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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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