Tommert25
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robbert0410_lrate7.5b32

Token Classification

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Tommert25 commited on Oct 4, 2023

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@@ -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: 0.3481
-- Precisions: 0.7446
-- Recall: 0.7473
-- F-measure: 0.7322
-- Accuracy: 0.8898
 ## 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   | 118  | 0.4325          | 0.8553     | 0.6676 | 0.6801    | 0.8655   |
-| No log        | 2.0   | 236  | 0.3771          | 0.8101     | 0.7172 | 0.7271    | 0.8868   |
-| No log        | 3.0   | 354  | 0.3481          | 0.7446     | 0.7473 | 0.7322    | 0.8898   |
-| No log        | 4.0   | 472  | 0.3827          | 0.8357     | 0.7587 | 0.7696    | 0.9015   |
-| 0.3445        | 5.0   | 590  | 0.3660          | 0.7792     | 0.7653 | 0.7712    | 0.9094   |
-| 0.3445        | 6.0   | 708  | 0.3987          | 0.7929     | 0.7763 | 0.7823    | 0.9097   |
-| 0.3445        | 7.0   | 826  | 0.4248          | 0.8084     | 0.7703 | 0.7847    | 0.9120   |
-| 0.3445        | 8.0   | 944  | 0.4286          | 0.7954     | 0.7791 | 0.7852    | 0.9116   |
 ### Framework versions

 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: 0.4559
+- Precisions: 0.8283
+- Recall: 0.8004
+- F-measure: 0.8131
+- Accuracy: 0.9159
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.2719        | 1.0   | 118  | 0.4068          | 0.8731     | 0.7017 | 0.7281    | 0.8921   |
+| 0.2306        | 2.0   | 236  | 0.3380          | 0.7819     | 0.7690 | 0.7699    | 0.9017   |
+| 0.1268        | 3.0   | 354  | 0.3740          | 0.7908     | 0.7845 | 0.7790    | 0.9060   |
+| 0.0858        | 4.0   | 472  | 0.3834          | 0.7983     | 0.7651 | 0.7763    | 0.9092   |
+| 0.0586        | 5.0   | 590  | 0.4200          | 0.8225     | 0.7933 | 0.8045    | 0.9094   |
+| 0.0349        | 6.0   | 708  | 0.4474          | 0.8328     | 0.7926 | 0.8094    | 0.9107   |
+| 0.0209        | 7.0   | 826  | 0.4559          | 0.8283     | 0.8004 | 0.8131    | 0.9159   |
+| 0.013         | 8.0   | 944  | 0.4614          | 0.8175     | 0.8034 | 0.8097    | 0.9144   |
 ### Framework versions