| --- |
| language: |
| - da |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ajders/ddisco |
| metrics: |
| - accuracy |
| base_model: NbAiLab/nb-bert-base |
| model-index: |
| - name: ddisco_classifier |
| 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. --> |
|
|
| # da-discourse-coherence-base |
|
|
| This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the [DDisco](https://huggingface.co/datasets/ajders/ddisco) dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7487 |
| - Accuracy: 0.6915 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 703 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 6.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.3422 | 0.4 | 5 | 1.0166 | 0.5721 | |
| | 0.9645 | 0.8 | 10 | 0.8966 | 0.5721 | |
| | 0.9854 | 1.24 | 15 | 0.8499 | 0.5721 | |
| | 0.8628 | 1.64 | 20 | 0.8379 | 0.6517 | |
| | 0.9046 | 2.08 | 25 | 0.8228 | 0.5721 | |
| | 0.8361 | 2.48 | 30 | 0.7980 | 0.5821 | |
| | 0.8158 | 2.88 | 35 | 0.8095 | 0.5821 | |
| | 0.8689 | 3.32 | 40 | 0.7989 | 0.6169 | |
| | 0.8125 | 3.72 | 45 | 0.7730 | 0.6965 | |
| | 0.843 | 4.16 | 50 | 0.7566 | 0.6418 | |
| | 0.7421 | 4.56 | 55 | 0.7840 | 0.6517 | |
| | 0.7949 | 4.96 | 60 | 0.7531 | 0.6915 | |
| | 0.828 | 5.4 | 65 | 0.7464 | 0.6816 | |
| | 0.7438 | 5.8 | 70 | 0.7487 | 0.6915 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.26.0 |
| - Pytorch 1.13.0a0+d0d6b1f |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
|
|
| ### Contributor |
|
|
| [ajders](https://github.com/AJDERS) |
