End of training

README.md

@@ -18,8 +18,8 @@ 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: 1.4139
-- F1: 0.8209
+- Loss: 1.2069
+- F1: 0.8146
 
 ## Model description
 
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.3936        | 1.0   | 1944 | 0.3835          | 0.8131 |
-| 0.3736        | 2.0   | 3888 | 0.4988          | 0.8286 |
-| 0.0225        | 3.0   | 5832 | 1.4139          | 0.8209 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.3748        | 1.0   | 3526  | 0.4155          | 0.8160 |
+| 0.3           | 2.0   | 7052  | 0.4824          | 0.8216 |
+| 0.1108        | 3.0   | 10578 | 1.2069          | 0.8146 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 598439784