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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_DAdialogQonly09 |
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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_DAdialogQonly09 |
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This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4978 |
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- Accuracy: 0.9031 |
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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: 32 |
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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: 30.0 |
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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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| No log | 1.0 | 330 | 3.9692 | 0.2249 | |
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| 4.3672 | 2.0 | 660 | 3.1312 | 0.4031 | |
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| 4.3672 | 3.0 | 990 | 2.5068 | 0.5658 | |
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| 3.1495 | 4.0 | 1320 | 2.0300 | 0.6600 | |
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| 2.2491 | 5.0 | 1650 | 1.6517 | 0.7450 | |
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| 2.2491 | 6.0 | 1980 | 1.3604 | 0.7943 | |
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| 1.622 | 7.0 | 2310 | 1.1328 | 0.8327 | |
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| 1.1252 | 8.0 | 2640 | 0.9484 | 0.8611 | |
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| 1.1252 | 9.0 | 2970 | 0.8212 | 0.8757 | |
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| 0.7969 | 10.0 | 3300 | 0.7243 | 0.8830 | |
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| 0.5348 | 11.0 | 3630 | 0.6597 | 0.8867 | |
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| 0.5348 | 12.0 | 3960 | 0.5983 | 0.8857 | |
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| 0.3744 | 13.0 | 4290 | 0.5635 | 0.8976 | |
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| 0.2564 | 14.0 | 4620 | 0.5437 | 0.8985 | |
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| 0.2564 | 15.0 | 4950 | 0.5124 | 0.9013 | |
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| 0.1862 | 16.0 | 5280 | 0.5074 | 0.9022 | |
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| 0.1349 | 17.0 | 5610 | 0.5028 | 0.9049 | |
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| 0.1349 | 18.0 | 5940 | 0.4876 | 0.9077 | |
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| 0.0979 | 19.0 | 6270 | 0.4971 | 0.9049 | |
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| 0.0763 | 20.0 | 6600 | 0.4941 | 0.9022 | |
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| 0.0763 | 21.0 | 6930 | 0.4957 | 0.9049 | |
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| 0.0602 | 22.0 | 7260 | 0.4989 | 0.9049 | |
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| 0.0504 | 23.0 | 7590 | 0.4959 | 0.9040 | |
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| 0.0504 | 24.0 | 7920 | 0.4944 | 0.9031 | |
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| 0.0422 | 25.0 | 8250 | 0.4985 | 0.9040 | |
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| 0.0379 | 26.0 | 8580 | 0.4970 | 0.9049 | |
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| 0.0379 | 27.0 | 8910 | 0.4949 | 0.9040 | |
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| 0.0351 | 28.0 | 9240 | 0.4971 | 0.9040 | |
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| 0.0321 | 29.0 | 9570 | 0.4967 | 0.9031 | |
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| 0.0321 | 30.0 | 9900 | 0.4978 | 0.9031 | |
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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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