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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9932
+- Loss: 0.4888
 
 ## Model description
 
@@ -39,20 +39,22 @@ 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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 65   | 2.4939          |
-| No log        | 2.0   | 130  | 1.2174          |
-| No log        | 3.0   | 195  | 0.9932          |
+| No log        | 1.0   | 65   | 2.3960          |
+| No log        | 2.0   | 130  | 1.0320          |
+| No log        | 3.0   | 195  | 0.7380          |
+| No log        | 4.0   | 260  | 0.5046          |
+| No log        | 5.0   | 325  | 0.4888          |
 
 
 ### Framework versions
 
-- Transformers 4.19.4
+- Transformers 4.20.0
 - Pytorch 1.11.0+cu113
-- Datasets 2.2.2
+- Datasets 2.3.2
 - Tokenizers 0.12.1