update model card README.md

README.md

@@ -13,8 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-base
 
 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: 0.0191
 
 ## Model description
 
@@ -35,28 +33,19 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
 - train_batch_size: 8
-- eval_batch_size: 8
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 0.0089        | 2.67  | 2000  | 0.0124          |
-| 0.0059        | 5.33  | 4000  | 0.0131          |
-| 0.005         | 8.0   | 6000  | 0.0146          |
-| 0.0032        | 10.67 | 8000  | 0.0167          |
-| 0.0027        | 13.33 | 10000 | 0.0177          |
-| 0.0019        | 16.0  | 12000 | 0.0183          |
-| 0.0014        | 18.67 | 14000 | 0.0191          |
 
 
 ### Framework versions
 
-- Transformers 4.27.3
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3