robbert-2023-dutch-large-ft-lcn
This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8711
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: 6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3132 | 1.0 | 69 | 2.1302 |
| 2.1372 | 2.0 | 138 | 2.0750 |
| 2.0204 | 3.0 | 207 | 1.9985 |
| 1.9231 | 4.0 | 276 | 1.9298 |
| 1.8671 | 5.0 | 345 | 1.9031 |
| 1.764 | 6.0 | 414 | 1.9241 |
| 1.7491 | 7.0 | 483 | 1.9061 |
| 1.7057 | 8.0 | 552 | 1.9247 |
| 1.6751 | 9.0 | 621 | 1.8435 |
| 1.5922 | 10.0 | 690 | 1.8714 |
| 1.5859 | 11.0 | 759 | 1.8203 |
| 1.5551 | 12.0 | 828 | 1.8823 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
DTAI-KULeuven/robbert-2023-dutch-large