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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: EN_t5-base_15_spider_baseline_clean
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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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# EN_t5-base_15_spider_baseline_clean
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3158
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- Rouge2 Precision: 0.6026
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- Rouge2 Recall: 0.3905
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- Rouge2 Fmeasure: 0.4456
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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: 20
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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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| No log | 1.0 | 433 | 0.2764 | 0.4829 | 0.3221 | 0.362 |
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| 0.5489 | 2.0 | 866 | 0.2624 | 0.5422 | 0.3575 | 0.4039 |
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| 0.1758 | 3.0 | 1299 | 0.2637 | 0.5488 | 0.3597 | 0.4074 |
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| 0.1302 | 4.0 | 1732 | 0.2741 | 0.5671 | 0.3731 | 0.4228 |
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| 0.1052 | 5.0 | 2165 | 0.2787 | 0.5736 | 0.3744 | 0.4255 |
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| 0.0876 | 6.0 | 2598 | 0.2848 | 0.5957 | 0.3868 | 0.4403 |
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| 0.078 | 7.0 | 3031 | 0.2841 | 0.5962 | 0.3867 | 0.4407 |
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| 0.078 | 8.0 | 3464 | 0.2898 | 0.5995 | 0.3873 | 0.4423 |
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| 0.0685 | 9.0 | 3897 | 0.2948 | 0.5961 | 0.3843 | 0.4393 |
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| 0.0627 | 10.0 | 4330 | 0.3045 | 0.5945 | 0.3839 | 0.4385 |
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| 0.0577 | 11.0 | 4763 | 0.3037 | 0.6018 | 0.3858 | 0.4415 |
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| 0.0542 | 12.0 | 5196 | 0.3126 | 0.6034 | 0.3926 | 0.4474 |
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| 0.0513 | 13.0 | 5629 | 0.3127 | 0.5964 | 0.3848 | 0.4395 |
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| 0.0491 | 14.0 | 6062 | 0.3151 | 0.5998 | 0.3883 | 0.4431 |
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| 0.0491 | 15.0 | 6495 | 0.3158 | 0.6026 | 0.3905 | 0.4456 |
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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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