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update model card README.md

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+ ---
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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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+ model-index:
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+ - name: VaccinChatSentenceClassifierDutch_fromBERTjeDIAL
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+ results: []
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+ ---
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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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+
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+ # VaccinChatSentenceClassifierDutch_fromBERTjeDIAL
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+
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+ This model is a fine-tuned version of [Jeska/BertjeWDialDataQA20k](https://huggingface.co/Jeska/BertjeWDialDataQA20k) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8355
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+ - Accuracy: 0.6322
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 3.4418 | 1.0 | 1457 | 2.3866 | 0.5406 |
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+ | 1.7742 | 2.0 | 2914 | 1.9365 | 0.6069 |
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+ | 1.1313 | 3.0 | 4371 | 1.8355 | 0.6322 |
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+
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+
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+ ### Framework versions
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+
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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