update model card README.md

README.md

@@ -15,11 +15,6 @@ 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: 0.1245
-- Rouge2 Precision: 0.8188
-- Rouge2 Recall: 0.7267
-- Rouge2 Fmeasure: 0.7629
 
 ## Model description
 
@@ -39,27 +34,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
-|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 0.1954        | 1.0   | 4049  | 0.1575          | 0.7935           | 0.7033        | 0.7387          |
-| 0.1678        | 2.0   | 8098  | 0.1388          | 0.8086           | 0.7171        | 0.7531          |
-| 0.1514        | 3.0   | 12147 | 0.1292          | 0.815            | 0.723         | 0.7591          |
-| 0.144         | 4.0   | 16196 | 0.1260          | 0.8184           | 0.726         | 0.7624          |
-| 0.1414        | 5.0   | 20245 | 0.1245          | 0.8188           | 0.7267        | 0.7629          |
 
 
 ### Framework versions
 
 - Transformers 4.28.1
-- Pytorch 1.10.2+cu113
+- Pytorch 1.13.1+cu117
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.12.1