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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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