update model card README.md

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 1.6363
+- Loss: 1.5835
 
 ## Model description
 
@@ -47,25 +47,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.6063        | 0.67  | 100  | 1.9609          |
-| 1.9832        | 1.35  | 200  | 1.7818          |
-| 1.8375        | 2.02  | 300  | 1.7241          |
-| 1.7553        | 2.69  | 400  | 1.6982          |
-| 1.7077        | 3.36  | 500  | 1.6691          |
-| 1.68          | 4.04  | 600  | 1.6638          |
-| 1.64          | 4.71  | 700  | 1.6521          |
-| 1.6149        | 5.38  | 800  | 1.6467          |
-| 1.6064        | 6.05  | 900  | 1.6502          |
-| 1.5768        | 6.73  | 1000 | 1.6394          |
-| 1.5685        | 7.4   | 1100 | 1.6389          |
-| 1.5568        | 8.07  | 1200 | 1.6342          |
-| 1.5422        | 8.74  | 1300 | 1.6326          |
-| 1.5422        | 9.42  | 1400 | 1.6363          |
+| 1.3236        | 0.95  | 100  | 1.6878          |
+| 1.5359        | 1.91  | 200  | 1.6104          |
+| 1.5523        | 2.86  | 300  | 1.5967          |
+| 1.5121        | 3.82  | 400  | 1.5945          |
+| 1.4837        | 4.77  | 500  | 1.5844          |
+| 1.4688        | 5.72  | 600  | 1.5872          |
+| 1.4392        | 6.68  | 700  | 1.5874          |
+| 1.4257        | 7.63  | 800  | 1.5849          |
+| 1.4161        | 8.59  | 900  | 1.5833          |
+| 1.413         | 9.54  | 1000 | 1.5835          |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
+- Transformers 4.29.1
 - Pytorch 2.0.0+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3