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danskbert_ED2
yemen2016/danskbert_ED2
danskbert_ED2 is a text classification model from yemen2016. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024
- SHA
- ae995225
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- cc-by-4.0
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024