End of training

README.md

@@ -18,11 +18,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3532
-- Precisions: 0.7361
-- Recall: 0.7268
-- F-measure: 0.7205
-- Accuracy: 0.8949
+- Loss: 0.3692
+- Precisions: 0.7993
+- Recall: 0.7287
+- F-measure: 0.7307
+- Accuracy: 0.8915
 
 ## Model description
 
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| No log        | 1.0   | 471  | 0.4408          | 0.8339     | 0.6741 | 0.6811    | 0.8655   |
-| 0.6468        | 2.0   | 942  | 0.3532          | 0.7361     | 0.7268 | 0.7205    | 0.8949   |
-| 0.3388        | 3.0   | 1413 | 0.3800          | 0.7827     | 0.7382 | 0.7417    | 0.8980   |
-| 0.2164        | 4.0   | 1884 | 0.4203          | 0.8306     | 0.7490 | 0.7675    | 0.9045   |
-| 0.149         | 5.0   | 2355 | 0.4617          | 0.7798     | 0.7546 | 0.7646    | 0.9010   |
-| 0.1022        | 6.0   | 2826 | 0.5331          | 0.8184     | 0.7557 | 0.7773    | 0.9051   |
-| 0.0704        | 7.0   | 3297 | 0.5074          | 0.8187     | 0.7759 | 0.7927    | 0.9123   |
-| 0.0524        | 8.0   | 3768 | 0.5290          | 0.8141     | 0.7704 | 0.7877    | 0.9092   |
+| No log        | 1.0   | 471  | 0.4360          | 0.8519     | 0.6630 | 0.6789    | 0.8678   |
+| 0.6455        | 2.0   | 942  | 0.3692          | 0.7993     | 0.7287 | 0.7307    | 0.8915   |
+| 0.3291        | 3.0   | 1413 | 0.3768          | 0.7658     | 0.7398 | 0.7397    | 0.8986   |
+| 0.2114        | 4.0   | 1884 | 0.4194          | 0.7951     | 0.7452 | 0.7532    | 0.9048   |
+| 0.1457        | 5.0   | 2355 | 0.4626          | 0.7756     | 0.7536 | 0.7620    | 0.9021   |
+| 0.0955        | 6.0   | 2826 | 0.5145          | 0.8075     | 0.7700 | 0.7858    | 0.9048   |
+| 0.0641        | 7.0   | 3297 | 0.5118          | 0.8113     | 0.7997 | 0.8045    | 0.9100   |
+| 0.0484        | 8.0   | 3768 | 0.5204          | 0.8052     | 0.7952 | 0.7995    | 0.9093   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10768ffc6ed1b3cbe23553d65962c9da4edafc89e760e5a2f83bf77ab623e8ea
+oid sha256:c38ca56c6d9dd521f4cfa39736208a180ab81641ade666329465d3b38d96fc44
 size 464775913