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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_fromBERTje2_DAdialog
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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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# VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog
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This model is a fine-tuned version of [outputDA/checkpoint-7710](https://huggingface.co/outputDA/checkpoint-7710) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5025
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- Accuracy: 0.9077
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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: 1e-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-06
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- lr_scheduler_type: linear
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- num_epochs: 15.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 3.9925 | 1.0 | 1320 | 3.0954 | 0.4223 |
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| 2.5041 | 2.0 | 2640 | 1.9762 | 0.6563 |
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| 1.8061 | 3.0 | 3960 | 1.3196 | 0.7952 |
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| 1.0694 | 4.0 | 5280 | 0.9304 | 0.8510 |
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| 0.6479 | 5.0 | 6600 | 0.6875 | 0.8821 |
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| 0.4408 | 6.0 | 7920 | 0.5692 | 0.8976 |
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| 0.2542 | 7.0 | 9240 | 0.5291 | 0.8949 |
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| 0.1709 | 8.0 | 10560 | 0.5038 | 0.9059 |
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| 0.1181 | 9.0 | 11880 | 0.4885 | 0.9049 |
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| 0.0878 | 10.0 | 13200 | 0.4900 | 0.9049 |
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| 0.0702 | 11.0 | 14520 | 0.4930 | 0.9086 |
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| 0.0528 | 12.0 | 15840 | 0.4987 | 0.9113 |
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| 0.0406 | 13.0 | 17160 | 0.5009 | 0.9113 |
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| 0.0321 | 14.0 | 18480 | 0.5017 | 0.9104 |
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| 0.0308 | 15.0 | 19800 | 0.5025 | 0.9077 |
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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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