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: 0.6304
-- Precisions: 0.8565
-- Recall: 0.7966
-- F-measure: 0.8182
-- Accuracy: 0.9056
+- Loss: 0.6833
+- Precisions: 0.8566
+- Recall: 0.8001
+- F-measure: 0.8200
+- Accuracy: 0.9051
 
 ## Model description
 
@@ -53,20 +53,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| 0.5972        | 1.0   | 284  | 0.4291          | 0.7808     | 0.7248 | 0.7363    | 0.8652   |
-| 0.2753        | 2.0   | 568  | 0.4249          | 0.7837     | 0.7521 | 0.7570    | 0.8811   |
-| 0.1379        | 3.0   | 852  | 0.5021          | 0.8379     | 0.7750 | 0.7955    | 0.8815   |
-| 0.0776        | 4.0   | 1136 | 0.6344          | 0.8567     | 0.7657 | 0.7907    | 0.8842   |
-| 0.0401        | 5.0   | 1420 | 0.6621          | 0.8442     | 0.7622 | 0.7856    | 0.8884   |
-| 0.0319        | 6.0   | 1704 | 0.6013          | 0.8435     | 0.7870 | 0.8010    | 0.8969   |
-| 0.0205        | 7.0   | 1988 | 0.6304          | 0.8565     | 0.7966 | 0.8182    | 0.9056   |
-| 0.0138        | 8.0   | 2272 | 0.6804          | 0.8538     | 0.7732 | 0.7896    | 0.9030   |
-| 0.0096        | 9.0   | 2556 | 0.7395          | 0.8274     | 0.7696 | 0.7862    | 0.8923   |
-| 0.005         | 10.0  | 2840 | 0.7293          | 0.8531     | 0.7846 | 0.8054    | 0.8967   |
-| 0.0034        | 11.0  | 3124 | 0.7385          | 0.8621     | 0.7929 | 0.8105    | 0.9022   |
-| 0.0047        | 12.0  | 3408 | 0.7428          | 0.8575     | 0.7953 | 0.8155    | 0.9061   |
-| 0.004         | 13.0  | 3692 | 0.7524          | 0.8617     | 0.7954 | 0.8152    | 0.9024   |
-| 0.0023        | 14.0  | 3976 | 0.7515          | 0.8636     | 0.7957 | 0.8174    | 0.9041   |
+| 0.5974        | 1.0   | 284  | 0.4862          | 0.7056     | 0.7095 | 0.6861    | 0.8582   |
+| 0.2555        | 2.0   | 568  | 0.4399          | 0.7868     | 0.7784 | 0.7804    | 0.8856   |
+| 0.1306        | 3.0   | 852  | 0.4482          | 0.8741     | 0.7806 | 0.8057    | 0.9005   |
+| 0.0792        | 4.0   | 1136 | 0.5896          | 0.8170     | 0.7464 | 0.7440    | 0.8889   |
+| 0.0479        | 5.0   | 1420 | 0.5834          | 0.8550     | 0.7755 | 0.8004    | 0.9071   |
+| 0.0319        | 6.0   | 1704 | 0.6073          | 0.8253     | 0.7738 | 0.7866    | 0.8996   |
+| 0.0241        | 7.0   | 1988 | 0.6493          | 0.8488     | 0.7784 | 0.7987    | 0.9038   |
+| 0.017         | 8.0   | 2272 | 0.6967          | 0.8232     | 0.7900 | 0.8024    | 0.8978   |
+| 0.0179        | 9.0   | 2556 | 0.6627          | 0.8626     | 0.7983 | 0.8198    | 0.9055   |
+| 0.0097        | 10.0  | 2840 | 0.6833          | 0.8566     | 0.8001 | 0.8200    | 0.9051   |
+| 0.007         | 11.0  | 3124 | 0.6972          | 0.8574     | 0.7989 | 0.8196    | 0.9051   |
+| 0.0064        | 12.0  | 3408 | 0.7098          | 0.8524     | 0.7941 | 0.8141    | 0.9030   |
+| 0.0031        | 13.0  | 3692 | 0.7231          | 0.8612     | 0.7999 | 0.8194    | 0.9062   |
+| 0.0023        | 14.0  | 3976 | 0.7145          | 0.8629     | 0.7933 | 0.8149    | 0.9070   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:9a4665216f17d2d936c96c0a4966ba9482eb36e01d75bf337b2cffae6120265d
 size 464775913