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Safick-HF
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Finetuned_Question_Answering_Model

Question Answering
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electra
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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar14_15-22-37_d3883cb7c15e/events.out.tfevents.1710429758.d3883cb7c15e.329.0 +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: 0.0316
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  ## Model description
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@@ -46,21 +46,21 @@ 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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  - Transformers 4.38.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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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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  | 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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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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