update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-text2sql
+  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-text2sql
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4693
+- Rouge2 Precision: 0.1016
+- Rouge2 Recall: 0.0342
+- Rouge2 Fmeasure: 0.0492
+
+## 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: 8
+- eval_batch_size: 8
+- 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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 11   | 2.8300          | 0.1012           | 0.03          | 0.0446          |
+| No log        | 2.0   | 22   | 2.1003          | 0.0932           | 0.0287        | 0.0423          |
+| No log        | 3.0   | 33   | 1.7377          | 0.098            | 0.0313        | 0.046           |
+| No log        | 4.0   | 44   | 1.5374          | 0.1026           | 0.0342        | 0.0492          |
+| No log        | 5.0   | 55   | 1.4693          | 0.1016           | 0.0342        | 0.0492          |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1