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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: 0.0316
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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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- | 0.0762 | 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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  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: 0.5728
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0022 | 1.0 | 3 | 1.3113 |
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+ | 0.0013 | 2.0 | 6 | 1.2872 |
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+ | 0.0006 | 3.0 | 9 | 1.2459 |
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+ | 0.0009 | 4.0 | 12 | 0.9726 |
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+ | 0.0004 | 5.0 | 15 | 0.7666 |
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+ | 0.001 | 6.0 | 18 | 0.6629 |
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+ | 0.0007 | 7.0 | 21 | 0.6085 |
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+ | 0.0008 | 8.0 | 24 | 0.5842 |
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+ | 0.0007 | 9.0 | 27 | 0.5732 |
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+ | 0.0007 | 10.0 | 30 | 0.5728 |
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  ### Framework versions
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