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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: robbertfinetuned1406
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# robbertfinetuned1406
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.0097
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- Precision: 0.6609
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- Recall: 0.6121
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- F1: 0.6356
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- Accuracy: 0.8636
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 290 | 0.9755 | 0.6240 | 0.5714 | 0.5965 | 0.8493 |
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| 0.0583 | 2.0 | 580 | 0.8817 | 0.6185 | 0.5828 | 0.6001 | 0.8574 |
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| 0.0583 | 3.0 | 870 | 0.8827 | 0.6567 | 0.6045 | 0.6296 | 0.8628 |
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| 0.0533 | 4.0 | 1160 | 0.9250 | 0.6517 | 0.6036 | 0.6267 | 0.8645 |
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| 0.0533 | 5.0 | 1450 | 1.0505 | 0.606 | 0.5733 | 0.5892 | 0.8493 |
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| 0.0339 | 6.0 | 1740 | 0.9916 | 0.6603 | 0.6235 | 0.6414 | 0.8634 |
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| 0.0444 | 7.0 | 2030 | 1.0201 | 0.6473 | 0.6008 | 0.6232 | 0.8591 |
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| 0.0444 | 8.0 | 2320 | 1.0097 | 0.6609 | 0.6121 | 0.6356 | 0.8636 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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