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_1210seed24
+  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_1210seed24
+
+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: 0.5514
+- Precisions: 0.8242
+- Recall: 0.8109
+- F-measure: 0.8173
+- Accuracy: 0.9166
+
+## 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: 24
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.6024        | 1.0   | 236  | 0.3532          | 0.8012     | 0.7183 | 0.7242    | 0.8874   |
+| 0.3107        | 2.0   | 472  | 0.3480          | 0.8147     | 0.7506 | 0.7619    | 0.8987   |
+| 0.1931        | 3.0   | 708  | 0.3617          | 0.8054     | 0.7603 | 0.7732    | 0.9027   |
+| 0.1234        | 4.0   | 944  | 0.4106          | 0.7976     | 0.7862 | 0.7893    | 0.9059   |
+| 0.0902        | 5.0   | 1180 | 0.4992          | 0.7678     | 0.7558 | 0.7579    | 0.8878   |
+| 0.0596        | 6.0   | 1416 | 0.5144          | 0.8178     | 0.7652 | 0.7858    | 0.9093   |
+| 0.0481        | 7.0   | 1652 | 0.4942          | 0.8061     | 0.8145 | 0.8078    | 0.9107   |
+| 0.0356        | 8.0   | 1888 | 0.5583          | 0.8055     | 0.7883 | 0.7957    | 0.9052   |
+| 0.0275        | 9.0   | 2124 | 0.5458          | 0.8165     | 0.8015 | 0.8078    | 0.9141   |
+| 0.021         | 10.0  | 2360 | 0.5803          | 0.8263     | 0.7950 | 0.8079    | 0.9114   |
+| 0.0183        | 11.0  | 2596 | 0.5514          | 0.8242     | 0.8109 | 0.8173    | 0.9166   |
+| 0.0165        | 12.0  | 2832 | 0.5690          | 0.8180     | 0.8060 | 0.8115    | 0.9154   |
+| 0.0131        | 13.0  | 3068 | 0.5887          | 0.8131     | 0.7963 | 0.8020    | 0.9118   |
+| 0.0103        | 14.0  | 3304 | 0.5905          | 0.8244     | 0.7949 | 0.8049    | 0.9141   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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