fine_tuned_robbert2

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1246
-- F1: 0.9711
-- Accuracy: 0.9706
+- Loss: 0.4953
+- F1: 0.9095
+- Accuracy: 0.9101
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
-| 0.2832        | 1.0   | 170  | 0.2816          | 0.8957 | 0.8941   |
-| 0.1317        | 2.0   | 340  | 0.3182          | 0.9118 | 0.9118   |
-| 0.0547        | 3.0   | 510  | 0.2826          | 0.9359 | 0.9353   |
+| 0.2837        | 1.0   | 178  | 0.3362          | 0.8968 | 0.8989   |
+| 0.4563        | 2.0   | 356  | 0.2734          | 0.9317 | 0.9326   |
+| 0.1892        | 3.0   | 534  | 0.3383          | 0.9321 | 0.9326   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 467081796