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_lrate2.5b4
+  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_lrate2.5b4
+
+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: 0.6503
+- Precisions: 0.8243
+- Recall: 0.7775
+- F-measure: 0.7978
+- Accuracy: 0.9076
+
+## 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.6524        | 1.0   | 942  | 0.4534          | 0.8361     | 0.6745 | 0.6791    | 0.8712   |
+| 0.372         | 2.0   | 1884 | 0.4010          | 0.7997     | 0.7323 | 0.7446    | 0.8930   |
+| 0.23          | 3.0   | 2826 | 0.4862          | 0.7950     | 0.7439 | 0.7519    | 0.8963   |
+| 0.1446        | 4.0   | 3768 | 0.5515          | 0.8251     | 0.7729 | 0.7851    | 0.9080   |
+| 0.0916        | 5.0   | 4710 | 0.6213          | 0.7940     | 0.7793 | 0.7849    | 0.9036   |
+| 0.0597        | 6.0   | 5652 | 0.6503          | 0.8243     | 0.7775 | 0.7978    | 0.9076   |
+| 0.0317        | 7.0   | 6594 | 0.6706          | 0.8098     | 0.7824 | 0.7922    | 0.9107   |
+| 0.021         | 8.0   | 7536 | 0.6690          | 0.8172     | 0.7847 | 0.7968    | 0.9135   |
+
+
+### 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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