update model card README.md

README.md

@@ -0,0 +1,61 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wikisql
+model-index:
+- name: t5-base-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-base-finetuned-wikisql
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the wikisql dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1079
+- Rouge2 Precision: 0.8276
+- Rouge2 Recall: 0.7361
+- Rouge2 Fmeasure: 0.7721
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.1298        | 1.0   | 4049 | 0.1079          | 0.8276           | 0.7361        | 0.7721          |
+
+
+### Framework versions
+
+- Transformers 4.27.3
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2