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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: EN_t5-base_5_wikiSQL_sch |
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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_t5-base_5_wikiSQL_sch |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0120 |
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- Rouge2 Precision: 0.9364 |
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- Rouge2 Recall: 0.8382 |
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- Rouge2 Fmeasure: 0.8771 |
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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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| 0.0199 | 1.0 | 4049 | 0.0150 | 0.9263 | 0.8311 | 0.8685 | |
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| 0.015 | 2.0 | 8098 | 0.0131 | 0.9338 | 0.8353 | 0.8743 | |
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| 0.0128 | 3.0 | 12147 | 0.0123 | 0.9353 | 0.8366 | 0.8758 | |
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| 0.011 | 4.0 | 16196 | 0.0121 | 0.9358 | 0.8381 | 0.8768 | |
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| 0.0098 | 5.0 | 20245 | 0.0120 | 0.9364 | 0.8382 | 0.8771 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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