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README.md
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---
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library_name: transformers
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language:
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- multilingual
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license: other
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base_model: DedalusHealthCare/tinybert-mlm-de
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tags:
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- generated_from_trainer
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datasets:
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- ner_demo_de
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model-index:
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- name: tinybert-demo-de
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results: []
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# tinybert-demo-de
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This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-de](https://huggingface.co/DedalusHealthCare/tinybert-mlm-de) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.4071
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- Disorder Finding Precision: 0.25
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- Disorder Finding Recall: 0.1818
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- Disorder Finding F1: 0.2105
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- Disorder Finding Number: 11
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- Overall Precision: 0.25
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- Overall Recall: 0.1818
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- Overall F1: 0.2105
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- Overall Accuracy: 0.9286
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## Model description
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- Pytorch 2.6.0+cu124
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- Datasets 2.16.0
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- Tokenizers 0.20.3
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## Model Performance
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This model has been evaluated on the **goldset from ner_disorderfinding_de_goldset** using
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IO evaluation (sklearn, token level, lenient) with the following results:
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### Overall Performance
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| Metric | Score |
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| Precision (Macro) | 0.425082 |
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| Recall (Macro) | 0.467785 |
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| F1-Score (Macro) | 0.435900 |
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| Precision (Weighted) | 0.600185 |
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| Recall (Weighted) | 0.698514 |
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| F1-Score (Weighted) | 0.640943 |
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**Inference Performance**: 4.91 seconds for evaluation dataset
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### Entity-Level Performance (IO Evaluation)
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| Entity Type | Precision | Recall | F1-Score | Support |
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|-------------|-----------|--------|----------|---------|
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| DISORDER_FINDING | 0.753771 | 0.900890 | 0.820790 | N/A |
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### Evaluation Details
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- **Dataset**: goldset from ner_disorderfinding_de_goldset
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- **Dataset Source**: goldset
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- **Evaluation Date**: 2025-10-08 11:37:22
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- **Language**: de
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- **Entities**: DISORDER_FINDING
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*This evaluation section is automatically generated and updated.*
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---
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library_name: transformers
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license: other
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base_model: DedalusHealthCare/tinybert-mlm-de
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tags:
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- generated_from_trainer
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model-index:
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- name: tinybert-demo-de
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results: []
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# tinybert-demo-de
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This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-de](https://huggingface.co/DedalusHealthCare/tinybert-mlm-de) on the None dataset.
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## Model description
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- Pytorch 2.6.0+cu124
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- Datasets 2.16.0
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- Tokenizers 0.20.3
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