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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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- spider |
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model-index: |
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- name: t5-small-finetuned-spider-wo_db |
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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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# t5-small-finetuned-spider-wo_db |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the spider dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7198 |
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- Rouge2 Precision: 0.418 |
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- Rouge2 Recall: 0.2665 |
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- Rouge2 Fmeasure: 0.3074 |
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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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| No log | 1.0 | 438 | 0.8903 | 0.3327 | 0.2179 | 0.2435 | |
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| 1.5339 | 2.0 | 876 | 0.7760 | 0.3853 | 0.2499 | 0.2831 | |
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| 0.825 | 3.0 | 1314 | 0.7418 | 0.403 | 0.2594 | 0.2963 | |
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| 0.7137 | 4.0 | 1752 | 0.7250 | 0.4092 | 0.2612 | 0.3011 | |
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| 0.6653 | 5.0 | 2190 | 0.7198 | 0.418 | 0.2665 | 0.3074 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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