Model save
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README.md
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This model is a fine-tuned version of [mschiesser/ner-bert-german](https://huggingface.co/mschiesser/ner-bert-german) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.0256
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0 | 0 | 2.
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| No log | 1.0 | 5 | 0.
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| No log | 2.0 | 10 | 0.
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| No log | 3.0 | 15 | 0.
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| No log | 4.0 | 20 | 0.
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| No log | 5.0 | 25 | 0.
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### Framework versions
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This model is a fine-tuned version of [mschiesser/ner-bert-german](https://huggingface.co/mschiesser/ner-bert-german) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3244
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- Precision: 0.1803
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- Recall: 0.0256
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- F1: 0.0448
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- Accuracy: 0.9275
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0 | 0 | 2.1970 | 0.0028 | 0.0116 | 0.0045 | 0.0200 |
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| No log | 1.0 | 5 | 0.4556 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| No log | 2.0 | 10 | 0.3726 | 0.0625 | 0.0047 | 0.0087 | 0.9223 |
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| No log | 3.0 | 15 | 0.3606 | 0.1351 | 0.0233 | 0.0397 | 0.9258 |
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| No log | 4.0 | 20 | 0.3337 | 0.1493 | 0.0233 | 0.0402 | 0.9267 |
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| No log | 5.0 | 25 | 0.3244 | 0.1803 | 0.0256 | 0.0448 | 0.9275 |
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### Framework versions
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model.safetensors
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