update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-small-finetuned-wikisql-v2
+  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-v2
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1246
+- Rouge2 Precision: 0.8183
+- Rouge2 Recall: 0.7261
+- Rouge2 Fmeasure: 0.7624
+
+## 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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.1953        | 1.0   | 4049  | 0.1574          | 0.7938           | 0.7035        | 0.739           |
+| 0.1644        | 2.0   | 8098  | 0.1375          | 0.8083           | 0.7167        | 0.7527          |
+| 0.1517        | 3.0   | 12147 | 0.1296          | 0.8141           | 0.7222        | 0.7584          |
+| 0.146         | 4.0   | 16196 | 0.1256          | 0.817            | 0.7254        | 0.7614          |
+| 0.1413        | 5.0   | 20245 | 0.1246          | 0.8183           | 0.7261        | 0.7624          |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1