End of training

README.md

@@ -21,11 +21,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3849
-- Accuracy: 0.875
-- Precision: 0.8885
-- Recall: 0.875
-- F1: 0.8761
+- Loss: 0.3315
+- Accuracy: 0.9219
+- Precision: 0.9255
+- Recall: 0.9219
+- F1: 0.9213
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.2626        | 1.0   | 16   | 0.6198          | 0.8125   | 0.8698    | 0.8125 | 0.8130 |
-| 0.2201        | 2.0   | 32   | 0.4324          | 0.8906   | 0.9009    | 0.8906 | 0.8900 |
-| 0.1061        | 3.0   | 48   | 0.3849          | 0.875    | 0.8885    | 0.875  | 0.8761 |
+| 1.378         | 1.0   | 16   | 0.7809          | 0.7344   | 0.8263    | 0.7344 | 0.7375 |
+| 0.2672        | 2.0   | 32   | 0.3393          | 0.8906   | 0.8922    | 0.8906 | 0.8894 |
+| 0.0864        | 3.0   | 48   | 0.3315          | 0.9219   | 0.9255    | 0.9219 | 0.9213 |
 
 
 ### Framework versions

logs/events.out.tfevents.1737319095.PC.1619.0

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