metadata
library_name: transformers
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_ED3
results: []
danskbert_ED3
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4172
- F1-score: 0.9180
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 69 | 0.4185 | 0.8182 |
| No log | 2.0 | 138 | 0.2883 | 0.8771 |
| No log | 3.0 | 207 | 0.6676 | 0.8605 |
| No log | 4.0 | 276 | 0.4172 | 0.9180 |
| No log | 5.0 | 345 | 0.7406 | 0.8495 |
| No log | 6.0 | 414 | 0.6953 | 0.8668 |
| No log | 7.0 | 483 | 0.5687 | 0.9016 |
| 0.2011 | 8.0 | 552 | 0.7013 | 0.8765 |
| 0.2011 | 9.0 | 621 | 0.7086 | 0.8851 |
| 0.2011 | 10.0 | 690 | 0.7390 | 0.8768 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1