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 [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.7425
+- Loss: 3.7693
 
 ## Model description
 
@@ -45,14 +45,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.8689        | 1.0   | 1134 | 3.7596          |
-| 3.7733        | 2.0   | 2268 | 3.7432          |
-| 3.7309        | 3.0   | 3402 | 3.7425          |
+| 3.8556        | 1.0   | 1131 | 3.7857          |
+| 3.7657        | 2.0   | 2262 | 3.7707          |
+| 3.7226        | 3.0   | 3393 | 3.7693          |
 
 
 ### Framework versions
 
-- Transformers 4.30.1
+- Transformers 4.30.2
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Datasets 2.13.0
 - Tokenizers 0.13.3