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: robbert_seed34_1311
+  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. -->
+
+# robbert_seed34_1311
+
+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: 0.3777
+- Precisions: 0.8501
+- Recall: 0.8262
+- F-measure: 0.8370
+- Accuracy: 0.9450
+
+## 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: 7.5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 34
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 14
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.4251        | 1.0   | 236  | 0.2557          | 0.7903     | 0.7339 | 0.7510    | 0.9248   |
+| 0.2162        | 2.0   | 472  | 0.3018          | 0.8386     | 0.7336 | 0.7532    | 0.9200   |
+| 0.1275        | 3.0   | 708  | 0.2461          | 0.8347     | 0.7758 | 0.7858    | 0.9364   |
+| 0.0797        | 4.0   | 944  | 0.2773          | 0.8694     | 0.7843 | 0.8114    | 0.9383   |
+| 0.049         | 5.0   | 1180 | 0.2767          | 0.8314     | 0.8143 | 0.8200    | 0.9419   |
+| 0.03          | 6.0   | 1416 | 0.3036          | 0.8126     | 0.8106 | 0.8104    | 0.9407   |
+| 0.0189        | 7.0   | 1652 | 0.3637          | 0.8051     | 0.8146 | 0.8073    | 0.9395   |
+| 0.014         | 8.0   | 1888 | 0.3762          | 0.8479     | 0.7926 | 0.8135    | 0.9436   |
+| 0.012         | 9.0   | 2124 | 0.3649          | 0.8486     | 0.8019 | 0.8205    | 0.9443   |
+| 0.0045        | 10.0  | 2360 | 0.3966          | 0.8530     | 0.8000 | 0.8200    | 0.9431   |
+| 0.0057        | 11.0  | 2596 | 0.3856          | 0.8564     | 0.8129 | 0.8307    | 0.9441   |
+| 0.0054        | 12.0  | 2832 | 0.3777          | 0.8501     | 0.8262 | 0.8370    | 0.9450   |
+| 0.0025        | 13.0  | 3068 | 0.3792          | 0.8608     | 0.8207 | 0.8369    | 0.9458   |
+| 0.0019        | 14.0  | 3304 | 0.3859          | 0.8581     | 0.8149 | 0.8318    | 0.9455   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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runs/Nov14_10-45-56_3c1d09617615/events.out.tfevents.1699959506.3c1d09617615.615.1

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