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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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- accuracy |
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- f1 |
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model-index: |
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- name: robbert-v2-dutch-base-finetuned-sentiment |
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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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# robbert-v2-dutch-base-finetuned-sentiment |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2055 |
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- Accuracy: 0.3673 |
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- F1: 0.3712 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.0698 | 1.0 | 86 | 1.0615 | 0.4898 | 0.3314 | |
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| 1.0312 | 2.0 | 172 | 1.0980 | 0.4052 | 0.3792 | |
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| 0.9602 | 3.0 | 258 | 1.2286 | 0.4169 | 0.3583 | |
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| 0.8644 | 4.0 | 344 | 1.2476 | 0.4315 | 0.3893 | |
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| 0.7201 | 5.0 | 430 | 1.4700 | 0.4227 | 0.3993 | |
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| 0.5759 | 6.0 | 516 | 1.6862 | 0.3848 | 0.3821 | |
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| 0.477 | 7.0 | 602 | 1.9556 | 0.3469 | 0.3529 | |
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| 0.3852 | 8.0 | 688 | 2.0945 | 0.3586 | 0.3637 | |
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| 0.3377 | 9.0 | 774 | 2.1969 | 0.3440 | 0.3502 | |
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| 0.2965 | 10.0 | 860 | 2.2055 | 0.3673 | 0.3712 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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