update model card README.md

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-ft-billsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2752
 
 ## Model description
 
@@ -34,19 +36,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 10
+- eval_batch_size: 10
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 124  | 2.6302          |
+| No log        | 1.0   | 99   | 2.6250          |
+| No log        | 2.0   | 198  | 2.4587          |
+| No log        | 3.0   | 297  | 2.3865          |
+| No log        | 4.0   | 396  | 2.3431          |
+| No log        | 5.0   | 495  | 2.3226          |
+| 2.7775        | 6.0   | 594  | 2.3019          |
+| 2.7775        | 7.0   | 693  | 2.2882          |
+| 2.7775        | 8.0   | 792  | 2.2802          |
+| 2.7775        | 9.0   | 891  | 2.2764          |
+| 2.7775        | 10.0  | 990  | 2.2752          |
 
 
 ### Framework versions