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: 0.3288
-- Precisions: 0.8075
-- Recall: 0.7510
-- F-measure: 0.7624
-- Accuracy: 0.8998
+- Loss: 0.5355
+- Precisions: 0.8523
+- Recall: 0.8173
+- F-measure: 0.8307
+- Accuracy: 0.9209
 
 ## Model description
 
@@ -47,20 +47,28 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8
+- num_epochs: 16
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| No log        | 1.0   | 236  | 0.3876          | 0.8471     | 0.6823 | 0.6916    | 0.8775   |
-| No log        | 2.0   | 472  | 0.3288          | 0.8075     | 0.7510 | 0.7624    | 0.8998   |
-| 0.4702        | 3.0   | 708  | 0.3771          | 0.7893     | 0.7610 | 0.7689    | 0.9031   |
-| 0.4702        | 4.0   | 944  | 0.4066          | 0.8057     | 0.7695 | 0.7808    | 0.9056   |
-| 0.1484        | 5.0   | 1180 | 0.4444          | 0.7936     | 0.7783 | 0.7846    | 0.9093   |
-| 0.1484        | 6.0   | 1416 | 0.4649          | 0.8234     | 0.8018 | 0.8092    | 0.9155   |
-| 0.0534        | 7.0   | 1652 | 0.4812          | 0.8001     | 0.7877 | 0.7932    | 0.9135   |
-| 0.0534        | 8.0   | 1888 | 0.4878          | 0.8097     | 0.7894 | 0.7978    | 0.9155   |
+| 0.6127        | 1.0   | 236  | 0.3656          | 0.8687     | 0.6888 | 0.7011    | 0.8817   |
+| 0.3078        | 2.0   | 472  | 0.3390          | 0.8253     | 0.7452 | 0.7612    | 0.8947   |
+| 0.1742        | 3.0   | 708  | 0.3899          | 0.7602     | 0.7560 | 0.7469    | 0.8957   |
+| 0.1242        | 4.0   | 944  | 0.4402          | 0.8560     | 0.7678 | 0.7861    | 0.9055   |
+| 0.0749        | 5.0   | 1180 | 0.4206          | 0.8163     | 0.8139 | 0.8127    | 0.9121   |
+| 0.0533        | 6.0   | 1416 | 0.4824          | 0.8257     | 0.7936 | 0.8060    | 0.9124   |
+| 0.0366        | 7.0   | 1652 | 0.4927          | 0.8506     | 0.7956 | 0.8158    | 0.9176   |
+| 0.0273        | 8.0   | 1888 | 0.5638          | 0.8631     | 0.7855 | 0.8093    | 0.9202   |
+| 0.0206        | 9.0   | 2124 | 0.5507          | 0.8322     | 0.7957 | 0.8096    | 0.9141   |
+| 0.0154        | 10.0  | 2360 | 0.5355          | 0.8523     | 0.8173 | 0.8307    | 0.9209   |
+| 0.0105        | 11.0  | 2596 | 0.5812          | 0.8301     | 0.7961 | 0.8088    | 0.9162   |
+| 0.0086        | 12.0  | 2832 | 0.6084          | 0.8357     | 0.8065 | 0.8192    | 0.9130   |
+| 0.0046        | 13.0  | 3068 | 0.6035          | 0.8310     | 0.7948 | 0.8104    | 0.9137   |
+| 0.0036        | 14.0  | 3304 | 0.6034          | 0.8223     | 0.7980 | 0.8074    | 0.9134   |
+| 0.0043        | 15.0  | 3540 | 0.6146          | 0.8198     | 0.7869 | 0.7999    | 0.9120   |
+| 0.0018        | 16.0  | 3776 | 0.6070          | 0.8244     | 0.7894 | 0.8029    | 0.9134   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d5eeb39e92ee52836c23bb275ca406fe48db70fc4d3905d9bcd0dfe66016edc0
 size 464775913