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_lrate7.5b32
+  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_lrate7.5b32
+
+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: 0.3481
+- Precisions: 0.7446
+- Recall: 0.7473
+- F-measure: 0.7322
+- Accuracy: 0.8898
+
+## 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: 32
+- eval_batch_size: 32
+- 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   | 118  | 0.4325          | 0.8553     | 0.6676 | 0.6801    | 0.8655   |
+| No log        | 2.0   | 236  | 0.3771          | 0.8101     | 0.7172 | 0.7271    | 0.8868   |
+| No log        | 3.0   | 354  | 0.3481          | 0.7446     | 0.7473 | 0.7322    | 0.8898   |
+| No log        | 4.0   | 472  | 0.3827          | 0.8357     | 0.7587 | 0.7696    | 0.9015   |
+| 0.3445        | 5.0   | 590  | 0.3660          | 0.7792     | 0.7653 | 0.7712    | 0.9094   |
+| 0.3445        | 6.0   | 708  | 0.3987          | 0.7929     | 0.7763 | 0.7823    | 0.9097   |
+| 0.3445        | 7.0   | 826  | 0.4248          | 0.8084     | 0.7703 | 0.7847    | 0.9120   |
+| 0.3445        | 8.0   | 944  | 0.4286          | 0.7954     | 0.7791 | 0.7852    | 0.9116   |
+
+
+### 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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