End of training

README.md

@@ -19,14 +19,14 @@ 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: 1.7933
-- F1: 0.7172
-- Accuracy: 0.7212
-- F1 Ai: 0.6154
-- F1 Programming: 0.6715
-- F1 Science & engineering: 0.6393
-- F1 Tech: 0.4259
-- F1 Rejected: 0.8158
+- Loss: 1.6971
+- F1: 0.7660
+- Accuracy: 0.7704
+- F1 Ai: 0.6670
+- F1 Programming: 0.6985
+- F1 Science & engineering: 0.7482
+- F1 Tech: 0.4973
+- F1 Rejected: 0.8520
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | F1 Ai  | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:|
-| 0.587         | 1.0   | 1881 | 0.6882          | 0.7150 | 0.7167   | 0.6565 | 0.6787         | 0.6900                   | 0.4046  | 0.7984      |
-| 0.3324        | 2.0   | 3762 | 0.7463          | 0.7237 | 0.7293   | 0.6492 | 0.6987         | 0.6517                   | 0.4044  | 0.8179      |
-| 0.1291        | 3.0   | 5643 | 1.7933          | 0.7172 | 0.7212   | 0.6154 | 0.6715         | 0.6393                   | 0.4259  | 0.8158      |
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | F1 Ai  | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:|
+| 0.5809        | 1.0   | 3361  | 0.5636          | 0.7738 | 0.7779   | 0.6961 | 0.7271         | 0.7535                   | 0.5003  | 0.8534      |
+| 0.3134        | 2.0   | 6722  | 0.6732          | 0.7776 | 0.7798   | 0.6933 | 0.7175         | 0.7577                   | 0.5315  | 0.8555      |
+| 0.3467        | 3.0   | 10083 | 1.6971          | 0.7660 | 0.7704   | 0.6670 | 0.6985         | 0.7482                   | 0.4973  | 0.8520      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 598449012