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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BertjeWDialDataALLQonly02 |
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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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# BertjeWDialDataALLQonly02 |
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This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9043 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 12.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.2438 | 1.0 | 871 | 2.1122 | |
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| 2.1235 | 2.0 | 1742 | 2.0784 | |
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| 2.0712 | 3.0 | 2613 | 2.0679 | |
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| 2.0034 | 4.0 | 3484 | 2.0546 | |
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| 1.9375 | 5.0 | 4355 | 2.0277 | |
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| 1.8911 | 6.0 | 5226 | 2.0364 | |
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| 1.8454 | 7.0 | 6097 | 1.9812 | |
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| 1.808 | 8.0 | 6968 | 2.0175 | |
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| 1.7716 | 9.0 | 7839 | 2.0286 | |
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| 1.7519 | 10.0 | 8710 | 1.9653 | |
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| 1.7358 | 11.0 | 9581 | 1.9817 | |
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| 1.7084 | 12.0 | 10452 | 1.9633 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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