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danskbert-FGN
yemen2016/danskbert-FGN
danskbert-FGN 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
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- f69a7c95
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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-FGN
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6479
- F1-score: 0.8731
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 | 120 | 0.4105 | 0.8402 |
| No log | 2.0 | 240 | 0.4530 | 0.8506 |
| No log | 3.0 | 360 | 0.6479 | 0.8731 |
| No log | 4.0 | 480 | 1.1574 | 0.8042 |
| 0.3733 | 5.0 | 600 | 0.7922 | 0.8489 |
| 0.3733 | 6.0 | 720 | 0.8570 | 0.8598 |
| 0.3733 | 7.0 | 840 | 0.8900 | 0.8508 |
| 0.3733 | 8.0 | 960 | 0.9645 | 0.8634 |
| 0.0904 | 9.0 | 1080 | 1.1572 | 0.8294 |
| 0.0904 | 10.0 | 1200 | 1.0706 | 0.8549 |
| 0.0904 | 11.0 | 1320 | 1.0462 | 0.8675 |
| 0.0904 | 12.0 | 1440 | 1.0676 | 0.8675 |
| 0.034 | 13.0 | 1560 | 1.2254 | 0.8526 |
| 0.034 | 14.0 | 1680 | 1.2085 | 0.8636 |
| 0.034 | 15.0 | 1800 | 1.2398 | 0.8524 |
| 0.034 | 16.0 | 1920 | 1.2987 | 0.8325 |
| 0.01 | 17.0 | 2040 | 1.2628 | 0.8416 |
| 0.01 | 18.0 | 2160 | 1.2489 | 0.8526 |
| 0.01 | 19.0 | 2280 | 1.2504 | 0.8526 |
| 0.01 | 20.0 | 2400 | 1.2521 | 0.8526 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- cc-by-4.0
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024