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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_mt5-base_15_spider_10_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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# ALL_mt5-base_15_spider_10_wikiSQL_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: 0.4214
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- Rouge2 Precision: 0.5797
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- Rouge2 Recall: 0.4033
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- Rouge2 Fmeasure: 0.4501
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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: 19
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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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| 0.498 | 1.0 | 912 | 0.3136 | 0.4916 | 0.3236 | 0.366 |
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| 0.1561 | 2.0 | 1824 | 0.3188 | 0.541 | 0.3749 | 0.4171 |
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| 0.1091 | 3.0 | 2736 | 0.3287 | 0.5457 | 0.3776 | 0.4213 |
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| 0.0831 | 4.0 | 3648 | 0.3423 | 0.5544 | 0.3834 | 0.4277 |
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| 0.0686 | 5.0 | 4560 | 0.3493 | 0.559 | 0.3831 | 0.4282 |
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| 0.0616 | 6.0 | 5472 | 0.3660 | 0.5718 | 0.3992 | 0.4448 |
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| 0.0524 | 7.0 | 6384 | 0.3725 | 0.555 | 0.3883 | 0.4322 |
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| 0.0469 | 8.0 | 7296 | 0.3804 | 0.5867 | 0.4075 | 0.4551 |
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| 0.0416 | 9.0 | 8208 | 0.3889 | 0.5725 | 0.3972 | 0.4432 |
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| 0.0382 | 10.0 | 9120 | 0.4028 | 0.575 | 0.3991 | 0.4455 |
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| 0.0352 | 11.0 | 10032 | 0.4027 | 0.5754 | 0.3992 | 0.4458 |
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| 0.0337 | 12.0 | 10944 | 0.4161 | 0.5769 | 0.4015 | 0.4482 |
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| 0.0322 | 13.0 | 11856 | 0.4168 | 0.5803 | 0.4021 | 0.4493 |
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| 0.0304 | 14.0 | 12768 | 0.4203 | 0.5783 | 0.4018 | 0.4487 |
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| 0.0298 | 15.0 | 13680 | 0.4214 | 0.5797 | 0.4033 | 0.4501 |
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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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