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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 |
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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 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5112 |
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- Accuracy: 0.9004 |
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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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| 4.1505 | 1.0 | 1320 | 3.3293 | 0.3793 | |
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| 2.7333 | 2.0 | 2640 | 2.2295 | 0.6133 | |
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| 2.0189 | 3.0 | 3960 | 1.5134 | 0.7587 | |
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| 1.2504 | 4.0 | 5280 | 1.0765 | 0.8282 | |
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| 0.7733 | 5.0 | 6600 | 0.7937 | 0.8629 | |
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| 0.5217 | 6.0 | 7920 | 0.6438 | 0.8784 | |
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| 0.3148 | 7.0 | 9240 | 0.5733 | 0.8857 | |
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| 0.2067 | 8.0 | 10560 | 0.5362 | 0.8912 | |
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| 0.1507 | 9.0 | 11880 | 0.5098 | 0.8903 | |
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| 0.1024 | 10.0 | 13200 | 0.5078 | 0.8976 | |
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| 0.0837 | 11.0 | 14520 | 0.5054 | 0.8967 | |
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| 0.0608 | 12.0 | 15840 | 0.5062 | 0.8958 | |
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| 0.0426 | 13.0 | 17160 | 0.5072 | 0.9013 | |
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| 0.0374 | 14.0 | 18480 | 0.5110 | 0.9040 | |
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| 0.0346 | 15.0 | 19800 | 0.5112 | 0.9004 | |
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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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