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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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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar22_10-49-11_b525f12b76d7/events.out.tfevents.1711104551.b525f12b76d7.158.0 +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: 0.5728
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  ## Model description
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@@ -36,7 +36,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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  - train_batch_size: 5
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- - eval_batch_size: 10
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -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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- | 0.0022 | 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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  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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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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  - train_batch_size: 5
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+ - eval_batch_size: 5
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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