Update README.md

README.md

@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0229
+- Loss: 0.001
 - Precision: 0.9212
 - Recall: 0.9272
 - F1: 0.9242
@@ -54,13 +54,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0171        | 1.0   | 9156  | 0.0179          | 0.8976    | 0.9056 | 0.9016 | 0.9935   |
-| 0.0113        | 2.0   | 18312 | 0.0141          | 0.9155    | 0.9233 | 0.9194 | 0.9948   |
-| 0.005         | 3.0   | 27468 | 0.0157          | 0.9194    | 0.9284 | 0.9239 | 0.9951   |
-| 0.001         | 4.0   | 36624 | 0.0229          | 0.9212    | 0.9272 | 0.9242 | 0.9953   |
-
+| Epoch | Training Loss | Validation Loss | Precision | Recall | F1    | Accuracy |
+|-------|---------------|-----------------|-----------|--------|-------|----------|
+| 1     | 0.017100      | 0.017944        | 0.897562  | 0.905612 | 0.901569 | 0.993549 |
+| 2     | 0.011300      | 0.014114        | 0.915451  | 0.923319 | 0.919368 | 0.994782 |
+| 3     | 0.005000      | 0.015703        | 0.919432  | 0.928394 | 0.923892 | 0.995136 |
+| 4     | 0.001000      | 0.022899        | 0.921234  | 0.927212 | 0.924213 | 0.995267 |
 
 ### Framework versions