metadata
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_botxo
results: []
MeMo_BERT-SA_botxo
This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6385
- F1-score: 0.7374
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 297 | 0.7785 | 0.6992 |
| 0.7119 | 2.0 | 594 | 0.9146 | 0.6732 |
| 0.7119 | 3.0 | 891 | 1.4686 | 0.7087 |
| 0.2712 | 4.0 | 1188 | 1.5626 | 0.7091 |
| 0.2712 | 5.0 | 1485 | 1.9710 | 0.6548 |
| 0.09 | 6.0 | 1782 | 2.0442 | 0.7169 |
| 0.0273 | 7.0 | 2079 | 2.1153 | 0.7326 |
| 0.0273 | 8.0 | 2376 | 2.3741 | 0.7005 |
| 0.0071 | 9.0 | 2673 | 2.6151 | 0.6977 |
| 0.0071 | 10.0 | 2970 | 2.5560 | 0.7107 |
| 0.0112 | 11.0 | 3267 | 2.5697 | 0.7220 |
| 0.0063 | 12.0 | 3564 | 2.5956 | 0.7185 |
| 0.0063 | 13.0 | 3861 | 2.6383 | 0.7189 |
| 0.0001 | 14.0 | 4158 | 2.9775 | 0.6755 |
| 0.0001 | 15.0 | 4455 | 2.6557 | 0.7247 |
| 0.0044 | 16.0 | 4752 | 2.6788 | 0.7305 |
| 0.0023 | 17.0 | 5049 | 2.6385 | 0.7374 |
| 0.0023 | 18.0 | 5346 | 2.6750 | 0.7186 |
| 0.0025 | 19.0 | 5643 | 2.6821 | 0.7186 |
| 0.0025 | 20.0 | 5940 | 2.6820 | 0.7186 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2