update model card README.md

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VuongQuoc/longformer_sciq](https://huggingface.co/VuongQuoc/longformer_sciq) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7707
+- Loss: 0.5326
 
 ## Model description
 
@@ -45,21 +45,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.5444        | 0.2   | 20   | 1.1152          |
-| 0.38          | 0.4   | 40   | 1.1166          |
-| 1.113         | 0.6   | 60   | 1.0510          |
-| 2.1048        | 0.8   | 80   | 0.9542          |
-| 1.3621        | 1.0   | 100  | 0.8830          |
-| 1.2104        | 1.2   | 120  | 0.8581          |
-| 1.0514        | 1.4   | 140  | 0.8260          |
-| 1.1346        | 1.6   | 160  | 0.7910          |
-| 1.1147        | 1.8   | 180  | 0.7780          |
-| 0.9934        | 2.0   | 200  | 0.7707          |
+| 1.1931        | 0.2   | 20   | 0.7457          |
+| 0.7677        | 0.4   | 40   | 0.7063          |
+| 1.0391        | 0.6   | 60   | 0.6745          |
+| 1.2915        | 0.8   | 80   | 0.6316          |
+| 1.1399        | 1.0   | 100  | 0.6652          |
+| 0.9975        | 1.2   | 120  | 0.6134          |
+| 0.9232        | 1.4   | 140  | 0.5561          |
+| 0.8026        | 1.6   | 160  | 0.5422          |
+| 0.7188        | 1.8   | 180  | 0.5370          |
+| 0.7272        | 2.0   | 200  | 0.5326          |
 
 
 ### Framework versions
 
 - Transformers 4.30.2
-- Pytorch 2.0.0
+- Pytorch 2.0.0+cpu
 - Datasets 2.1.0
 - Tokenizers 0.13.3