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_lrate2.5b32
+  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_lrate2.5b32
+
+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: 0.3700
+- Precisions: 0.7911
+- Recall: 0.7515
+- F-measure: 0.7562
+- Accuracy: 0.8997
+
+## 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: 2.5e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.8604        | 1.0   | 118  | 0.4897          | 0.8413     | 0.6506 | 0.6616    | 0.8535   |
+| 0.4417        | 2.0   | 236  | 0.4031          | 0.8327     | 0.6978 | 0.6910    | 0.8714   |
+| 0.3227        | 3.0   | 354  | 0.3781          | 0.8393     | 0.7154 | 0.7031    | 0.8841   |
+| 0.2638        | 4.0   | 472  | 0.3463          | 0.7238     | 0.7280 | 0.7254    | 0.8962   |
+| 0.2102        | 5.0   | 590  | 0.3579          | 0.7670     | 0.7343 | 0.7344    | 0.8955   |
+| 0.1795        | 6.0   | 708  | 0.3640          | 0.7839     | 0.7433 | 0.7408    | 0.8966   |
+| 0.1547        | 7.0   | 826  | 0.3659          | 0.7815     | 0.7454 | 0.7493    | 0.8995   |
+| 0.1401        | 8.0   | 944  | 0.3700          | 0.7911     | 0.7515 | 0.7562    | 0.8997   |
+
+
+### 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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