update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- wikisql
+model-index:
+- name: t5-small-finetuned-wikisql
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5-small-finetuned-wikisql
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2547
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.2875        | 1.0   | 3523  | 0.2645          |
+| 0.286         | 2.0   | 7046  | 0.2594          |
+| 0.2714        | 3.0   | 10569 | 0.2567          |
+| 0.2667        | 4.0   | 14092 | 0.2550          |
+| 0.268         | 5.0   | 17615 | 0.2547          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.2
+- Tokenizers 0.13.3