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danish-bert-botxo-fb-housing-posts
hoaj/danish-bert-botxo-fb-housing-posts
danish-bert-botxo-fb-housing-posts is a text classification model from hoaj. 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
- bert
- Access
- Public
- Created
- Apr 26, 2024
- Updated
- Apr 26, 2024
- SHA
- d11bf77a
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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. -->
danish-bert-botxo-fb-housing-posts
This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1659
- Accuracy: 0.9519
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.372 | 1.0 | 55 | 0.2514 | 0.9251 |
| 0.171 | 2.0 | 110 | 0.1881 | 0.9305 |
| 0.2315 | 3.0 | 165 | 0.1854 | 0.9465 |
| 0.1284 | 4.0 | 220 | 0.1745 | 0.9465 |
| 0.0353 | 5.0 | 275 | 0.1659 | 0.9519 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Apr 26, 2024
- Updated
- Apr 26, 2024