End of training

README.md

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+---
+license: mit
+base_model: pdelobelle/robbert-v2-dutch-base
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- accuracy
+model-index:
+- name: robbert0410_lrate5b16
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# robbert0410_lrate5b16
+
+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: 0.4327
+- Precisions: 0.8044
+- Recall: 0.7739
+- F-measure: 0.7866
+- Accuracy: 0.9059
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.6621        | 1.0   | 236  | 0.3874          | 0.8592     | 0.6840 | 0.6964    | 0.8788   |
+| 0.3365        | 2.0   | 472  | 0.3512          | 0.8078     | 0.7402 | 0.7478    | 0.8916   |
+| 0.2033        | 3.0   | 708  | 0.3476          | 0.8061     | 0.7621 | 0.7617    | 0.9055   |
+| 0.132         | 4.0   | 944  | 0.3896          | 0.8035     | 0.7465 | 0.7632    | 0.9042   |
+| 0.0793        | 5.0   | 1180 | 0.4327          | 0.8044     | 0.7739 | 0.7866    | 0.9059   |
+| 0.0554        | 6.0   | 1416 | 0.4909          | 0.8386     | 0.7609 | 0.7774    | 0.9072   |
+| 0.0378        | 7.0   | 1652 | 0.4867          | 0.7892     | 0.7651 | 0.7743    | 0.9070   |
+| 0.0244        | 8.0   | 1888 | 0.5016          | 0.8046     | 0.7651 | 0.7756    | 0.9090   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.0

pytorch_model.bin

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