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: 1.2069
-- F1: 0.8146
+- Loss: 0.8672
+- F1: 0.8234
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | 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 |
+| 0.3197        | 1.0   | 5732  | 0.3713          | 0.8335 |
+| 0.2921        | 2.0   | 11464 | 0.4513          | 0.8350 |
+| 0.0224        | 3.0   | 17196 | 0.8672          | 0.8234 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0e930518cf22d7eddb95db21d2cf17c6b03ec595add25ac0eba2cae60ef82e43
 size 598439784