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Safick-HF
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Finetuned_Question_Answering_Model

Question Answering
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Safetensors
electra
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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Mar22_12-42-19_4fc6bb9ab27c/events.out.tfevents.1711111339.4fc6bb9ab27c.405.0 +3 -0
  4. training_args.bin +1 -1
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: 0.0130
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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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- | 3.792 | 1.0 | 3 | 0.0385 |
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- | 0.4079 | 2.0 | 6 | 0.0418 |
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- | 0.1837 | 3.0 | 9 | 0.0511 |
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- | 0.0175 | 4.0 | 12 | 0.0573 |
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- | 0.0426 | 5.0 | 15 | 0.0547 |
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- | 0.0108 | 6.0 | 18 | 0.0438 |
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- | 0.0117 | 7.0 | 21 | 0.0276 |
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- | 0.0255 | 8.0 | 24 | 0.0184 |
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- | 0.0087 | 9.0 | 27 | 0.0143 |
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- | 0.0041 | 10.0 | 30 | 0.0130 |
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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: 3.3874
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.6324 | 1.0 | 3 | 3.5638 |
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+ | 0.3607 | 2.0 | 6 | 3.0847 |
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+ | 1.7247 | 3.0 | 9 | 2.8964 |
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+ | 0.0183 | 4.0 | 12 | 2.7518 |
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+ | 0.1101 | 5.0 | 15 | 2.8213 |
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+ | 0.0063 | 6.0 | 18 | 2.9454 |
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+ | 0.0121 | 7.0 | 21 | 3.1119 |
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+ | 0.0036 | 8.0 | 24 | 3.2701 |
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+ | 0.0139 | 9.0 | 27 | 3.3557 |
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+ | 0.0051 | 10.0 | 30 | 3.3874 |
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  ### Framework versions
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