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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1342
-- Accuracy: 0.3707
+- Loss: 2.4917
+- Accuracy: 0.1472
 
 ## Model description
 
@@ -42,21 +42,22 @@ 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: 4
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2744        | 1.0   | 875  | 2.1780          | 0.3637   |
-| 2.0753        | 2.0   | 1750 | 2.1342          | 0.3707   |
-| 1.8624        | 3.0   | 2625 | 2.1430          | 0.3613   |
-| 1.7133        | 4.0   | 3500 | 2.1655          | 0.3593   |
+| 2.7712        | 1.0   | 875  | 2.6037          | 0.1212   |
+| 2.4896        | 2.0   | 1750 | 2.5123          | 0.1365   |
+| 2.2153        | 3.0   | 2625 | 2.4918          | 0.142    |
+| 1.93          | 4.0   | 3500 | 2.4917          | 0.1472   |
+| 1.804         | 5.0   | 4375 | 2.5146          | 0.146    |
 
 
 ### Framework versions
 
 - Transformers 4.12.3
-- Pytorch 1.9.0+cu111
+- Pytorch 1.9.0+cu102
 - Datasets 1.15.1
 - Tokenizers 0.10.3