| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: BertjeWDialDataALLQonly05 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BertjeWDialDataALLQonly05 |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3921 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
|
|
| 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: |
| - learning_rate: 0.0003 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 12.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 2.9349 | 1.0 | 871 | 2.9642 | |
| | 2.9261 | 2.0 | 1742 | 2.9243 | |
| | 2.8409 | 3.0 | 2613 | 2.8895 | |
| | 2.7308 | 4.0 | 3484 | 2.8394 | |
| | 2.6042 | 5.0 | 4355 | 2.7703 | |
| | 2.4671 | 6.0 | 5226 | 2.7522 | |
| | 2.3481 | 7.0 | 6097 | 2.6339 | |
| | 2.2493 | 8.0 | 6968 | 2.6224 | |
| | 2.1233 | 9.0 | 7839 | 2.5637 | |
| | 2.0194 | 10.0 | 8710 | 2.4896 | |
| | 1.9178 | 11.0 | 9581 | 2.4689 | |
| | 1.8588 | 12.0 | 10452 | 2.4663 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.13.0.dev0 |
| - Pytorch 1.10.0 |
| - Datasets 1.16.1 |
| - Tokenizers 0.10.3 |
| |
