metadata
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NC
results: []
danskbert_NC
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2840
- F1-score: 0.9059
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | 40 | 0.4096 | 0.7540 |
| No log | 2.0 | 80 | 0.3319 | 0.8725 |
| No log | 3.0 | 120 | 0.2840 | 0.9059 |
| No log | 4.0 | 160 | 0.3596 | 0.8825 |
| No log | 5.0 | 200 | 0.3770 | 0.8660 |
| No log | 6.0 | 240 | 0.3415 | 0.8923 |
| No log | 7.0 | 280 | 0.3858 | 0.8991 |
| No log | 8.0 | 320 | 0.4248 | 0.8856 |
| No log | 9.0 | 360 | 0.4699 | 0.8790 |
| No log | 10.0 | 400 | 0.4744 | 0.8856 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1