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: 0.5609
-- Precisions: 0.8558
-- Recall: 0.8234
-- F-measure: 0.8375
-- Accuracy: 0.9294
+- Loss: 0.3318
+- Precisions: 0.8562
+- Recall: 0.8095
+- F-measure: 0.8293
+- Accuracy: 0.9476
 
 ## Model description
 
@@ -53,20 +53,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| 0.4449        | 1.0   | 285  | 0.3985          | 0.8120     | 0.6963 | 0.7240    | 0.8907   |
-| 0.19          | 2.0   | 570  | 0.3572          | 0.8522     | 0.7715 | 0.8031    | 0.9118   |
-| 0.0946        | 3.0   | 855  | 0.3966          | 0.8331     | 0.7816 | 0.8013    | 0.9168   |
-| 0.0492        | 4.0   | 1140 | 0.4321          | 0.8295     | 0.8127 | 0.8189    | 0.9187   |
-| 0.034         | 5.0   | 1425 | 0.4523          | 0.8123     | 0.8122 | 0.8097    | 0.9241   |
-| 0.0221        | 6.0   | 1710 | 0.5082          | 0.8111     | 0.8109 | 0.8097    | 0.9222   |
-| 0.015         | 7.0   | 1995 | 0.5375          | 0.8587     | 0.7934 | 0.8194    | 0.9212   |
-| 0.0121        | 8.0   | 2280 | 0.5233          | 0.8542     | 0.8256 | 0.8373    | 0.9292   |
-| 0.0077        | 9.0   | 2565 | 0.5259          | 0.8277     | 0.8235 | 0.8246    | 0.9286   |
-| 0.0063        | 10.0  | 2850 | 0.5609          | 0.8558     | 0.8234 | 0.8375    | 0.9294   |
-| 0.003         | 11.0  | 3135 | 0.5672          | 0.8176     | 0.8197 | 0.8169    | 0.9271   |
-| 0.002         | 12.0  | 3420 | 0.5968          | 0.8555     | 0.8184 | 0.8347    | 0.9294   |
-| 0.0021        | 13.0  | 3705 | 0.5846          | 0.8315     | 0.8222 | 0.8263    | 0.9269   |
-| 0.0016        | 14.0  | 3990 | 0.5905          | 0.8352     | 0.8167 | 0.8251    | 0.9263   |
+| 0.4465        | 1.0   | 269  | 0.3166          | 0.8058     | 0.6865 | 0.6693    | 0.9046   |
+| 0.2204        | 2.0   | 538  | 0.2474          | 0.8108     | 0.7990 | 0.7979    | 0.9295   |
+| 0.133         | 3.0   | 807  | 0.2529          | 0.8072     | 0.7719 | 0.7830    | 0.9357   |
+| 0.087         | 4.0   | 1076 | 0.2601          | 0.8462     | 0.7886 | 0.8012    | 0.9415   |
+| 0.0578        | 5.0   | 1345 | 0.2896          | 0.8286     | 0.8106 | 0.8186    | 0.9418   |
+| 0.0307        | 6.0   | 1614 | 0.3017          | 0.8474     | 0.8065 | 0.8240    | 0.9433   |
+| 0.0257        | 7.0   | 1883 | 0.3435          | 0.8488     | 0.8129 | 0.8270    | 0.9407   |
+| 0.0159        | 8.0   | 2152 | 0.3318          | 0.8562     | 0.8095 | 0.8293    | 0.9476   |
+| 0.0086        | 9.0   | 2421 | 0.3629          | 0.8433     | 0.8065 | 0.8224    | 0.9451   |
+| 0.0067        | 10.0  | 2690 | 0.3700          | 0.8648     | 0.8020 | 0.8272    | 0.9451   |
+| 0.0064        | 11.0  | 2959 | 0.3835          | 0.8328     | 0.8108 | 0.8203    | 0.9425   |
+| 0.0041        | 12.0  | 3228 | 0.3625          | 0.8454     | 0.8094 | 0.8255    | 0.9447   |
+| 0.0028        | 13.0  | 3497 | 0.3734          | 0.8450     | 0.8097 | 0.8254    | 0.9451   |
+| 0.0021        | 14.0  | 3766 | 0.3706          | 0.8469     | 0.8119 | 0.8274    | 0.9462   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:076a50adf8ef072a940945c6ea85b5ab0142256a36c4100062c3fdd61fb91a0d
+oid sha256:27dae56494f84595389d3d1fafcfba7df92045ff987587d560164bc40ffd30b4
 size 464775913