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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: TH_mt5-base-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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# TH_mt5-base-finetuned-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: 0.3517
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- Rouge2 Precision: 0.6349
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- Rouge2 Recall: 0.5656
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- Rouge2 Fmeasure: 0.5929
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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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| 0.4981 | 1.0 | 4049 | 0.4153 | 0.5813 | 0.5159 | 0.5409 |
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| 0.4242 | 2.0 | 8098 | 0.3777 | 0.6117 | 0.543 | 0.5695 |
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| 0.384 | 3.0 | 12147 | 0.3599 | 0.6264 | 0.5573 | 0.5844 |
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| 0.3651 | 4.0 | 16196 | 0.3537 | 0.6343 | 0.5639 | 0.5917 |
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| 0.3557 | 5.0 | 20245 | 0.3517 | 0.6349 | 0.5656 | 0.5929 |
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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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