End of training

README.md

@@ -16,10 +16,10 @@ 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: 0.8522
-- F1 Score: 0.6669
-- Precision Score: 0.6888
-- Recall Score: 0.652
+- Loss: 1.1047
+- F1 Score: 0.7565
+- Precision Score: 0.7603
+- Recall Score: 0.7545
 
 ## Model description
 
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|
-| 1.1843        | 1.0   | 32   | 0.8882          | 0.6753   | 0.7256          | 0.639        |
-| 0.793         | 2.0   | 64   | 0.8479          | 0.6875   | 0.7819          | 0.64         |
-| 0.5971        | 3.0   | 96   | 0.8522          | 0.6669   | 0.6888          | 0.652        |
+| Training Loss | Epoch | Step  | Validation Loss | F1 Score | Precision Score | Recall Score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|
+| 0.6283        | 1.0   | 11686 | 0.5695          | 0.7615   | 0.7666          | 0.7587       |
+| 0.4154        | 2.0   | 23372 | 0.5917          | 0.7749   | 0.7840          | 0.7705       |
+| 0.1468        | 3.0   | 35058 | 1.1047          | 0.7565   | 0.7603          | 0.7545       |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 598452088