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_lrate7.5b8
+  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_lrate7.5b8
+
+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: 0.3807
+- Precisions: 0.7617
+- Recall: 0.7368
+- F-measure: 0.7423
+- Accuracy: 0.8880
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| No log        | 1.0   | 471  | 0.4437          | 0.8549     | 0.6737 | 0.6835    | 0.8700   |
+| 0.5971        | 2.0   | 942  | 0.3807          | 0.7617     | 0.7368 | 0.7423    | 0.8880   |
+| 0.2963        | 3.0   | 1413 | 0.4422          | 0.7859     | 0.7422 | 0.7476    | 0.9028   |
+| 0.1606        | 4.0   | 1884 | 0.5208          | 0.8338     | 0.7546 | 0.7754    | 0.9041   |
+| 0.107         | 5.0   | 2355 | 0.5299          | 0.7982     | 0.7887 | 0.7915    | 0.9076   |
+| 0.0628        | 6.0   | 2826 | 0.5734          | 0.8099     | 0.7694 | 0.7824    | 0.9121   |
+| 0.0295        | 7.0   | 3297 | 0.6021          | 0.8090     | 0.7771 | 0.7898    | 0.9116   |
+| 0.0192        | 8.0   | 3768 | 0.6043          | 0.8120     | 0.7801 | 0.7927    | 0.9137   |
+
+
+### 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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