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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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