update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.8288
-- Loss: 0.6070
+- Loss: 0.4531
+- Accuracy: 0.8794
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 30
+- num_epochs: 40
 
 ### Training results
 
@@ -78,6 +78,16 @@ The following hyperparameters were used during training:
 | 1.6823        | 28.0  | 924  | 0.8132   | 0.6141          |
 | 1.6823        | 29.0  | 957  | 0.8288   | 0.6207          |
 | 1.6823        | 30.0  | 990  | 0.8288   | 0.6070          |
+| 0.8033        | 31.0  | 1023 | 0.5843   | 0.8288          |
+| 0.8033        | 32.0  | 1056 | 0.5616   | 0.8521          |
+| 0.8033        | 33.0  | 1089 | 0.5372   | 0.8482          |
+| 0.8033        | 34.0  | 1122 | 0.5264   | 0.8482          |
+| 0.8033        | 35.0  | 1155 | 0.4922   | 0.8599          |
+| 0.8033        | 36.0  | 1188 | 0.4755   | 0.8716          |
+| 0.8033        | 37.0  | 1221 | 0.4738   | 0.8755          |
+| 0.8033        | 38.0  | 1254 | 0.4590   | 0.8794          |
+| 0.8033        | 39.0  | 1287 | 0.4544   | 0.8833          |
+| 0.8033        | 40.0  | 1320 | 0.4531   | 0.8794          |
 
 
 ### Framework versions