danskbert_ED2 / README.md
yemen2016's picture
End of training
ae99522 verified
metadata
library_name: transformers
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
  - generated_from_trainer
model-index:
  - name: danskbert_ED1
    results: []

danskbert_ED1

This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5087
  • F1-score: 0.9098

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 69 0.4066 0.8196
No log 2.0 138 0.3546 0.8846
No log 3.0 207 0.4711 0.9013
No log 4.0 276 0.4296 0.8932
No log 5.0 345 0.7490 0.8513
No log 6.0 414 0.5087 0.9098
No log 7.0 483 0.8659 0.8669
0.2398 8.0 552 0.8049 0.8601
0.2398 9.0 621 0.9197 0.8678
0.2398 10.0 690 0.9867 0.8678
0.2398 11.0 759 0.9999 0.8681
0.2398 12.0 828 0.8314 0.8852
0.2398 13.0 897 0.8388 0.8934
0.2398 14.0 966 0.8358 0.9016
0.0092 15.0 1035 0.8468 0.9016
0.0092 16.0 1104 0.8554 0.9016
0.0092 17.0 1173 0.8654 0.8933
0.0092 18.0 1242 0.8707 0.8933
0.0092 19.0 1311 0.8731 0.8933
0.0092 20.0 1380 0.8740 0.8933

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1