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_seed37_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_seed37_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: 0.3848
+- Precisions: 0.8521
+- Recall: 0.8198
+- F-measure: 0.8327
+- Accuracy: 0.9441
+
+## 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: 37
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.4569        | 1.0   | 236  | 0.2571          | 0.7110     | 0.7130 | 0.7092    | 0.9217   |
+| 0.222         | 2.0   | 472  | 0.2286          | 0.7904     | 0.7574 | 0.7685    | 0.9313   |
+| 0.1311        | 3.0   | 708  | 0.2412          | 0.8047     | 0.7810 | 0.7875    | 0.9359   |
+| 0.0813        | 4.0   | 944  | 0.2755          | 0.8019     | 0.7775 | 0.7886    | 0.9354   |
+| 0.0552        | 5.0   | 1180 | 0.3120          | 0.8499     | 0.7793 | 0.8032    | 0.9409   |
+| 0.0323        | 6.0   | 1416 | 0.3536          | 0.8350     | 0.7955 | 0.8099    | 0.9402   |
+| 0.0212        | 7.0   | 1652 | 0.3789          | 0.8448     | 0.7817 | 0.8092    | 0.9405   |
+| 0.0154        | 8.0   | 1888 | 0.3835          | 0.8419     | 0.7780 | 0.7971    | 0.9385   |
+| 0.0119        | 9.0   | 2124 | 0.3906          | 0.8583     | 0.7812 | 0.8058    | 0.9388   |
+| 0.0081        | 10.0  | 2360 | 0.3910          | 0.8477     | 0.7874 | 0.8062    | 0.9424   |
+| 0.0052        | 11.0  | 2596 | 0.3839          | 0.8642     | 0.8087 | 0.8298    | 0.9431   |
+| 0.0046        | 12.0  | 2832 | 0.3848          | 0.8521     | 0.8198 | 0.8327    | 0.9441   |
+| 0.0018        | 13.0  | 3068 | 0.4017          | 0.8450     | 0.8125 | 0.8240    | 0.9438   |
+| 0.0014        | 14.0  | 3304 | 0.4060          | 0.8571     | 0.8088 | 0.8265    | 0.9441   |
+
+
+### 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_09-59-15_4376ee55f323/events.out.tfevents.1699956704.4376ee55f323.1225.5

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