|
--- |
|
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) |
