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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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model-index:
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- name: BertjeWDialDataALLQonly09
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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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# BertjeWDialDataALLQonly09
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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: 1.9043
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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: 5e-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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- num_epochs: 12.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.2439 | 1.0 | 871 | 2.1102 |
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| 2.1235 | 2.0 | 1742 | 2.0785 |
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| 2.0709 | 3.0 | 2613 | 2.0689 |
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| 2.0033 | 4.0 | 3484 | 2.0565 |
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| 1.9386 | 5.0 | 4355 | 2.0290 |
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| 1.8909 | 6.0 | 5226 | 2.0366 |
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| 1.8449 | 7.0 | 6097 | 1.9809 |
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| 1.8078 | 8.0 | 6968 | 2.0177 |
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| 1.7709 | 9.0 | 7839 | 2.0289 |
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| 1.7516 | 10.0 | 8710 | 1.9645 |
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| 1.7354 | 11.0 | 9581 | 1.9810 |
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| 1.7073 | 12.0 | 10452 | 1.9631 |
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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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