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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepset/gelectra-large-germanquad](https://huggingface.co/deepset/gelectra-large-germanquad) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0090
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  ## Model description
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@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7296 | 1.0 | 3 | 0.0478 |
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- | 0.9269 | 2.0 | 6 | 0.0365 |
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- | 0.1316 | 3.0 | 9 | 0.0271 |
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- | 0.08 | 4.0 | 12 | 0.0201 |
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- | 0.0648 | 5.0 | 15 | 0.0155 |
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- | 0.0185 | 6.0 | 18 | 0.0133 |
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- | 0.0024 | 7.0 | 21 | 0.0112 |
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- | 0.0087 | 8.0 | 24 | 0.0100 |
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- | 0.0586 | 9.0 | 27 | 0.0092 |
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- | 0.0039 | 10.0 | 30 | 0.0090 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepset/gelectra-large-germanquad](https://huggingface.co/deepset/gelectra-large-germanquad) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0316
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0762 | 1.0 | 3 | 0.3330 |
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+ | 0.5877 | 2.0 | 6 | 0.2301 |
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+ | 0.0194 | 3.0 | 9 | 0.1833 |
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+ | 0.1341 | 4.0 | 12 | 0.0951 |
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+ | 0.002 | 5.0 | 15 | 0.0650 |
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+ | 0.1363 | 6.0 | 18 | 0.0458 |
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+ | 0.0263 | 7.0 | 21 | 0.0385 |
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+ | 0.0032 | 8.0 | 24 | 0.0349 |
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+ | 0.0036 | 9.0 | 27 | 0.0328 |
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+ | 0.0031 | 10.0 | 30 | 0.0316 |
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  ### Framework versions
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