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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_15_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_15_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: 0.0233
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- Rouge2 Precision: 0.8562
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- Rouge2 Recall: 0.5679
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- Rouge2 Fmeasure: 0.6471
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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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| 0.4206 | 1.0 | 875 | 0.1165 | 0.6166 | 0.4044 | 0.4599 |
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| 0.1438 | 2.0 | 1750 | 0.0773 | 0.7093 | 0.479 | 0.5408 |
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| 0.104 | 3.0 | 2625 | 0.0562 | 0.7512 | 0.5048 | 0.5713 |
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| 0.0839 | 4.0 | 3500 | 0.0442 | 0.7839 | 0.527 | 0.5967 |
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| 0.0746 | 5.0 | 4375 | 0.0367 | 0.8114 | 0.5424 | 0.616 |
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| 0.0641 | 6.0 | 5250 | 0.0313 | 0.8265 | 0.5497 | 0.6255 |
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| 0.056 | 7.0 | 6125 | 0.0277 | 0.8402 | 0.5583 | 0.6354 |
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| 0.0514 | 8.0 | 7000 | 0.0252 | 0.8509 | 0.5638 | 0.6425 |
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| 0.0484 | 9.0 | 7875 | 0.0237 | 0.8544 | 0.567 | 0.6459 |
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| 0.0475 | 10.0 | 8750 | 0.0233 | 0.8562 | 0.5679 | 0.6471 |
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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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