license: mit | |
base_model: DTAI-KULeuven/robbert-2023-dutch-base | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
- f1 | |
- precision | |
- recall | |
model-index: | |
- name: robbert2 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# robbert2 | |
This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-base) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.1668 | |
- Accuracy: 0.9617 | |
- F1: 0.6771 | |
- Precision: 0.7418 | |
- Recall: 0.6357 | |
## 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: 5e-05 | |
- train_batch_size: 32 | |
- eval_batch_size: 32 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| 0.1552 | 1.0 | 9646 | 0.1982 | 0.9569 | 0.4843 | 0.5375 | 0.4579 | | |
| 0.1169 | 2.0 | 19292 | 0.1856 | 0.9653 | 0.6065 | 0.7167 | 0.5540 | | |
| 0.0831 | 3.0 | 28938 | 0.1668 | 0.9617 | 0.6771 | 0.7418 | 0.6357 | | |
### Framework versions | |
- Transformers 4.43.4 | |
- Pytorch 2.2.0+cu121 | |
- Datasets 2.17.1 | |
- Tokenizers 0.19.1 | |