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bert-base-uncased_German_MultiLable_classification
Tobias/bert-base-uncased_German_MultiLable_classification
bert-base-uncased_German_MultiLable_classification is a text classification model from Tobias. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
A model trained on German Hotel Reviews from Switzerland. The base model is the bert-base-german-cased. The last hidden layer of the base model was extracted and a classification layer was added. The entire model was…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 21, 2022
- Updated
- May 21, 2022
- SHA
- a1b8f9b6
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Model card
From the Hugging Face model README
German Hotel Review Sentiment Classification
A model trained on German Hotel Reviews from Switzerland. The base model is the bert-base-german-cased. The last hidden layer of the base model was extracted and a classification layer was added. The entire model was then trained for 5 epochs on our dataset.
Model Performance
| Classes | Precision | Recall | F1 Score |
|---|---|---|---|
| Room | 84.62% | 88.00% | 86.27% |
| Food | 79.17% | 82.61% | 80.85% |
| Staff | 63.64% | 70.00% | 66.67% |
| Location | 83.33% | 62.50% | 71.43% |
| GeneralUtilitys | 76.92% | 76.92% | 76.92% |
| HotelOrganisation | 26.67% | 30.77% | 28.57% |
| Unknown | 25.00% | 16.67% | 20.00% |
| ReasonForStay | 100.00% | 50.00% | 66.67% |
| Accuracy | 69.00% | ||
| Macro Average | 67.42% | 59.68% | 62.17% |
| Weighted Average | 69.36% | 69.00% | 68.79% |
Confusion Matrix
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- de
- Created
- May 21, 2022
- Updated
- May 21, 2022