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update model card README.md

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+ ---
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - wikisql
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+ model-index:
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+ - name: t5-small-finetuned-wikisql
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+ results: []
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+ ---
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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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+
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+ # t5-small-finetuned-wikisql
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2547
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.2875 | 1.0 | 3523 | 0.2645 |
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+ | 0.286 | 2.0 | 7046 | 0.2594 |
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+ | 0.2714 | 3.0 | 10569 | 0.2567 |
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+ | 0.2667 | 4.0 | 14092 | 0.2550 |
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+ | 0.268 | 5.0 | 17615 | 0.2547 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.2
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+ - Tokenizers 0.13.3