metadata
library_name: transformers
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0961
- F1: 0.9870
- Accuracy: 0.9903
- F1 Yes: 0.9805
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | F1 Yes |
|---|---|---|---|---|---|---|
| 0.4447 | 1.0 | 567 | 0.1354 | 0.9645 | 0.9740 | 0.9461 |
| 0.5017 | 2.0 | 1134 | 0.1364 | 0.9709 | 0.9788 | 0.9558 |
| 0.3631 | 3.0 | 1701 | 0.0939 | 0.9821 | 0.9868 | 0.9730 |
| 0.1957 | 4.0 | 2268 | 0.1017 | 0.9827 | 0.9872 | 0.9739 |
| 0.2480 | 5.0 | 2835 | 0.1281 | 0.9832 | 0.9876 | 0.9746 |
| 0.0166 | 6.0 | 3402 | 0.1206 | 0.9851 | 0.9890 | 0.9775 |
| 0.0452 | 7.0 | 3969 | 0.1049 | 0.9881 | 0.9912 | 0.9821 |
| 0.0261 | 8.0 | 4536 | 0.1177 | 0.9857 | 0.9894 | 0.9784 |
| 0.0004 | 9.0 | 5103 | 0.1145 | 0.9869 | 0.9903 | 0.9803 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2