metadata
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-DanskBERT
results: []
MeMo_BERT-WSD-DanskBERT
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7755
- F1-score: 0.5209
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 | 61 | 1.4766 | 0.1229 |
| No log | 2.0 | 122 | 1.4366 | 0.1229 |
| No log | 3.0 | 183 | 1.3636 | 0.2462 |
| No log | 4.0 | 244 | 1.2889 | 0.3692 |
| No log | 5.0 | 305 | 1.4150 | 0.3786 |
| No log | 6.0 | 366 | 1.5581 | 0.3409 |
| No log | 7.0 | 427 | 1.6512 | 0.4664 |
| No log | 8.0 | 488 | 1.7405 | 0.4661 |
| 0.9424 | 9.0 | 549 | 1.7755 | 0.5209 |
| 0.9424 | 10.0 | 610 | 2.4738 | 0.4351 |
| 0.9424 | 11.0 | 671 | 2.4721 | 0.4858 |
| 0.9424 | 12.0 | 732 | 2.9449 | 0.4491 |
| 0.9424 | 13.0 | 793 | 2.8346 | 0.4528 |
| 0.9424 | 14.0 | 854 | 3.0715 | 0.4845 |
| 0.9424 | 15.0 | 915 | 3.1416 | 0.4520 |
| 0.9424 | 16.0 | 976 | 3.0893 | 0.5197 |
| 0.1197 | 17.0 | 1037 | 3.1668 | 0.4764 |
| 0.1197 | 18.0 | 1098 | 3.2142 | 0.4656 |
| 0.1197 | 19.0 | 1159 | 3.2174 | 0.5087 |
| 0.1197 | 20.0 | 1220 | 3.2239 | 0.5087 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2