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---
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tags:
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- generated_from_trainer
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model-index:
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- name: BertjeWDialDataALL03
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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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# BertjeWDialDataALL03
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9459
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 8.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.1951 | 1.0 | 1542 | 2.0285 |
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| 2.0918 | 2.0 | 3084 | 1.9989 |
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| 2.0562 | 3.0 | 4626 | 2.0162 |
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| 2.0012 | 4.0 | 6168 | 1.9330 |
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| 1.9705 | 5.0 | 7710 | 1.9151 |
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| 1.9571 | 6.0 | 9252 | 1.9419 |
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| 1.9113 | 7.0 | 10794 | 1.9175 |
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| 1.8988 | 8.0 | 12336 | 1.9143 |
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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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