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update model card README.md
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README.md
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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_10_spider_10_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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# ALL_mt5-base_10_spider_10_wikiSQL
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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: 0.0241
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- Rouge2 Precision: 0.8525
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- Rouge2 Recall: 0.5646
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- Rouge2 Fmeasure: 0.6434
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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: 10
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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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| 0.4259 | 1.0 | 875 | 0.1208 | 0.6006 | 0.3892 | 0.4443 |
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| 0.1482 | 2.0 | 1750 | 0.0808 | 0.7001 | 0.4721 | 0.5333 |
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| 0.1073 | 3.0 | 2625 | 0.0588 | 0.7416 | 0.5007 | 0.5657 |
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| 0.0867 | 4.0 | 3500 | 0.0461 | 0.7741 | 0.5208 | 0.5894 |
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| 0.0769 | 5.0 | 4375 | 0.0382 | 0.7999 | 0.5351 | 0.6073 |
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| 0.0658 | 6.0 | 5250 | 0.0327 | 0.8225 | 0.5465 | 0.6217 |
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| 0.0574 | 7.0 | 6125 | 0.0283 | 0.8364 | 0.5546 | 0.6314 |
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| 0.0525 | 8.0 | 7000 | 0.0261 | 0.8444 | 0.5593 | 0.6371 |
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| 0.0498 | 9.0 | 7875 | 0.0245 | 0.8515 | 0.5643 | 0.6429 |
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| 0.0491 | 10.0 | 8750 | 0.0241 | 0.8525 | 0.5646 | 0.6434 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.13.3
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