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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_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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# ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0235 |
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- Rouge2 Precision: 0.8396 |
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- Rouge2 Recall: 0.5615 |
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- Rouge2 Fmeasure: 0.6396 |
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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: 15 |
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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: 15 |
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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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| 0.3047 | 1.0 | 1293 | 0.1813 | 0.5141 | 0.3387 | 0.3851 | |
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| 0.1829 | 2.0 | 2586 | 0.1190 | 0.6059 | 0.4059 | 0.4595 | |
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| 0.1463 | 3.0 | 3879 | 0.0889 | 0.6388 | 0.4276 | 0.4845 | |
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| 0.116 | 4.0 | 5172 | 0.0708 | 0.6831 | 0.458 | 0.5194 | |
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| 0.1003 | 5.0 | 6465 | 0.0580 | 0.7161 | 0.485 | 0.5489 | |
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| 0.0869 | 6.0 | 7758 | 0.0486 | 0.7498 | 0.5046 | 0.5726 | |
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| 0.0868 | 7.0 | 9051 | 0.0409 | 0.7736 | 0.5227 | 0.5923 | |
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| 0.0698 | 8.0 | 10344 | 0.0365 | 0.7803 | 0.5251 | 0.5963 | |
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| 0.0629 | 9.0 | 11637 | 0.0326 | 0.7982 | 0.5368 | 0.6097 | |
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| 0.06 | 10.0 | 12930 | 0.0298 | 0.8113 | 0.5456 | 0.62 | |
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| 0.0558 | 11.0 | 14223 | 0.0272 | 0.8219 | 0.5506 | 0.6263 | |
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| 0.0524 | 12.0 | 15516 | 0.0257 | 0.8257 | 0.5541 | 0.6303 | |
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| 0.0497 | 13.0 | 16809 | 0.0245 | 0.8308 | 0.5572 | 0.634 | |
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| 0.049 | 14.0 | 18102 | 0.0238 | 0.8389 | 0.5611 | 0.6391 | |
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| 0.0479 | 15.0 | 19395 | 0.0235 | 0.8396 | 0.5615 | 0.6396 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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