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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_DAdialogQonly
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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_DAdialogQonly
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This model is a fine-tuned version of [outputDAQonly/checkpoint-8710](https://huggingface.co/outputDAQonly/checkpoint-8710) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5008
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- Accuracy: 0.9068
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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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| 4.0751 | 1.0 | 1320 | 3.1674 | 0.4086 |
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| 2.5619 | 2.0 | 2640 | 2.0335 | 0.6426 |
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| 1.8549 | 3.0 | 3960 | 1.3537 | 0.7861 |
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| 1.106 | 4.0 | 5280 | 0.9515 | 0.8519 |
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| 0.6698 | 5.0 | 6600 | 0.7152 | 0.8757 |
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| 0.4497 | 6.0 | 7920 | 0.5838 | 0.8921 |
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| 0.2626 | 7.0 | 9240 | 0.5300 | 0.8940 |
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| 0.1762 | 8.0 | 10560 | 0.4984 | 0.8958 |
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| 0.119 | 9.0 | 11880 | 0.4906 | 0.9059 |
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| 0.0919 | 10.0 | 13200 | 0.4896 | 0.8995 |
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| 0.0722 | 11.0 | 14520 | 0.5012 | 0.9022 |
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| 0.0517 | 12.0 | 15840 | 0.4951 | 0.9040 |
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| 0.0353 | 13.0 | 17160 | 0.4988 | 0.9040 |
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| 0.0334 | 14.0 | 18480 | 0.5035 | 0.9049 |
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| 0.0304 | 15.0 | 19800 | 0.5008 | 0.9068 |
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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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