End of training
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README.md
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This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) 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: 1.0
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- Recall: 1.0
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- F1: 1.0
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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 | 1.0 |
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| No log | 2.0 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5740
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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- Accuracy: 0.7979
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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 | 1.0 | 175 | 0.6167 | 1.0 | 1.0 | 1.0 | 0.7589 |
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| No log | 2.0 | 350 | 0.5740 | 1.0 | 1.0 | 1.0 | 0.7979 |
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| 0.5186 | 3.0 | 525 | 0.8370 | 1.0 | 1.0 | 1.0 | 0.7719 |
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| 0.5186 | 4.0 | 700 | 0.7648 | 1.0 | 1.0 | 1.0 | 0.8153 |
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| 0.5186 | 5.0 | 875 | 0.7703 | 1.0 | 1.0 | 1.0 | 0.7988 |
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| 0.1581 | 6.0 | 1050 | 0.8545 | 1.0 | 1.0 | 1.0 | 0.8092 |
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| 0.1581 | 7.0 | 1225 | 0.9456 | 1.0 | 1.0 | 1.0 | 0.8057 |
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| 0.1581 | 8.0 | 1400 | 1.0018 | 1.0 | 1.0 | 1.0 | 0.8031 |
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| 0.0573 | 9.0 | 1575 | 1.0635 | 1.0 | 1.0 | 1.0 | 0.8066 |
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| 0.0573 | 10.0 | 1750 | 1.0481 | 1.0 | 1.0 | 1.0 | 0.8066 |
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### Framework versions
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model.safetensors
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