| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: BertjeWDialDataALLQonly |
| | 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. --> |
| |
|
| | # BertjeWDialDataALLQonly |
| |
|
| | 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: 1.9438 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - 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: 15.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 2.2122 | 1.0 | 871 | 2.0469 | |
| | | 2.0961 | 2.0 | 1742 | 2.0117 | |
| | | 2.0628 | 3.0 | 2613 | 2.0040 | |
| | | 2.0173 | 4.0 | 3484 | 1.9901 | |
| | | 1.9772 | 5.0 | 4355 | 1.9711 | |
| | | 1.9455 | 6.0 | 5226 | 1.9785 | |
| | | 1.917 | 7.0 | 6097 | 1.9380 | |
| | | 1.8933 | 8.0 | 6968 | 1.9651 | |
| | | 1.8708 | 9.0 | 7839 | 1.9915 | |
| | | 1.862 | 10.0 | 8710 | 1.9310 | |
| | | 1.8545 | 11.0 | 9581 | 1.9422 | |
| | | 1.8231 | 12.0 | 10452 | 1.9310 | |
| | | 1.8141 | 13.0 | 11323 | 1.9362 | |
| | | 1.7939 | 14.0 | 12194 | 1.9334 | |
| | | 1.8035 | 15.0 | 13065 | 1.9197 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.13.0.dev0 |
| | - Pytorch 1.10.0 |
| | - Datasets 1.16.1 |
| | - Tokenizers 0.10.3 |
| | |
