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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_5_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_5_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: 0.0535 |
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- Rouge2 Precision: 0.7644 |
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- Rouge2 Recall: 0.5113 |
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- Rouge2 Fmeasure: 0.5798 |
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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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| 0.4225 | 1.0 | 875 | 0.1196 | 0.6114 | 0.3983 | 0.4541 | |
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| 0.1491 | 2.0 | 1750 | 0.0822 | 0.6989 | 0.4688 | 0.5304 | |
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| 0.1128 | 3.0 | 2625 | 0.0640 | 0.7302 | 0.4905 | 0.5547 | |
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| 0.0972 | 4.0 | 3500 | 0.0560 | 0.7542 | 0.5066 | 0.5733 | |
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| 0.0914 | 5.0 | 4375 | 0.0535 | 0.7644 | 0.5113 | 0.5798 | |
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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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