masking usig word-token

README.md

@@ -15,7 +15,7 @@ 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: 2.8476
+- Loss: 2.9551
 
 ## Model description
 
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.0412        | 1.0   | 313  | 2.8585          |
-| 3.019         | 2.0   | 626  | 2.8627          |
-| 2.9974        | 3.0   | 939  | 2.8508          |
-| 2.991         | 4.0   | 1252 | 2.8339          |
-| 2.9919        | 5.0   | 1565 | 2.8476          |
+| 3.0688        | 1.0   | 157  | 3.0019          |
+| 3.0333        | 2.0   | 314  | 2.9665          |
+| 3.0134        | 3.0   | 471  | 2.9548          |
+| 2.9994        | 4.0   | 628  | 2.9731          |
+| 2.9782        | 5.0   | 785  | 2.9740          |
 
 
 ### Framework versions

model.safetensors

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runs/Feb25_18-21-07_b2fc59c07484/events.out.tfevents.1708885611.b2fc59c07484.484.1

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runs/Feb25_18-21-07_b2fc59c07484/events.out.tfevents.1708885915.b2fc59c07484.484.2

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