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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_fromBERTje |
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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_fromBERTje |
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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: 0.6223 |
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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: 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: 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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| 3.4666 | 1.0 | 1320 | 2.3355 | 0.5768 | |
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| 1.5293 | 2.0 | 2640 | 1.1118 | 0.8144 | |
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| 0.8031 | 3.0 | 3960 | 0.6362 | 0.8803 | |
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| 0.2985 | 4.0 | 5280 | 0.5119 | 0.8958 | |
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| 0.1284 | 5.0 | 6600 | 0.5023 | 0.8931 | |
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| 0.0842 | 6.0 | 7920 | 0.5246 | 0.9022 | |
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| 0.0414 | 7.0 | 9240 | 0.5581 | 0.9013 | |
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| 0.0372 | 8.0 | 10560 | 0.5721 | 0.9004 | |
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| 0.0292 | 9.0 | 11880 | 0.5469 | 0.9141 | |
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| 0.0257 | 10.0 | 13200 | 0.5871 | 0.9059 | |
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| 0.0189 | 11.0 | 14520 | 0.6181 | 0.9049 | |
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| 0.0104 | 12.0 | 15840 | 0.6184 | 0.9068 | |
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| 0.009 | 13.0 | 17160 | 0.6013 | 0.9049 | |
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| 0.0051 | 14.0 | 18480 | 0.6205 | 0.9059 | |
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| 0.0035 | 15.0 | 19800 | 0.6223 | 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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