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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: 5.3001
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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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- | 0.1726 | 1.0 | 3 | 4.1350 |
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- | 1.4685 | 2.0 | 6 | 3.3928 |
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- | 0.8648 | 3.0 | 9 | 3.8220 |
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- | 0.0119 | 4.0 | 12 | 4.2166 |
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- | 0.0093 | 5.0 | 15 | 4.5749 |
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- | 0.0156 | 6.0 | 18 | 4.8764 |
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- | 0.0225 | 7.0 | 21 | 5.0761 |
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- | 0.0035 | 8.0 | 24 | 5.2095 |
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- | 0.0057 | 9.0 | 27 | 5.2750 |
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- | 0.025 | 10.0 | 30 | 5.3001 |
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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: 3.1805
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0518 | 1.0 | 3 | 2.2785 |
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+ | 1.1922 | 2.0 | 6 | 2.1421 |
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+ | 0.0808 | 3.0 | 9 | 2.3643 |
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+ | 0.0776 | 4.0 | 12 | 2.6431 |
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+ | 0.0118 | 5.0 | 15 | 2.8142 |
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+ | 0.0104 | 6.0 | 18 | 2.9807 |
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+ | 0.0095 | 7.0 | 21 | 3.1129 |
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+ | 0.0045 | 8.0 | 24 | 3.1348 |
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+ | 0.1023 | 9.0 | 27 | 3.1585 |
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+ | 0.0028 | 10.0 | 30 | 3.1805 |
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  ### Framework versions
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