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README.md
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---
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license: mit
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base_model: pdelobelle/robbert-v2-dutch-base
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tags:
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- generated_from_trainer
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metrics:
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- recall
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- accuracy
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model-index:
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- name: robbert0410_lrate10b8
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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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# robbert0410_lrate10b8
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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: 0.6067
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- Precisions: 0.8082
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- Recall: 0.7813
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- F-measure: 0.7929
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- Accuracy: 0.9106
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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: 0.0001
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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 | Precisions | Recall | F-measure | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
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| 0.6356 | 1.0 | 471 | 0.4207 | 0.8357 | 0.6959 | 0.6907 | 0.8767 |
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| 0.3636 | 2.0 | 942 | 0.3759 | 0.7587 | 0.7486 | 0.7497 | 0.8938 |
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| 0.2131 | 3.0 | 1413 | 0.4114 | 0.8027 | 0.7381 | 0.7548 | 0.8966 |
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| 0.1356 | 4.0 | 1884 | 0.4721 | 0.8141 | 0.7498 | 0.7682 | 0.9015 |
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| 0.0768 | 5.0 | 2355 | 0.5470 | 0.7628 | 0.7637 | 0.7575 | 0.8969 |
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| 0.0459 | 6.0 | 2826 | 0.5884 | 0.7864 | 0.7783 | 0.7807 | 0.9109 |
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| 0.0267 | 7.0 | 3297 | 0.6067 | 0.8082 | 0.7813 | 0.7929 | 0.9106 |
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| 0.0183 | 8.0 | 3768 | 0.6205 | 0.7964 | 0.7684 | 0.7786 | 0.9090 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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