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--- |
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license: mit |
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base_model: deepset/gelectra-large-germanquad |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Finetuned_Question_Answering_Model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Finetuned_Question_Answering_Model |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- num_epochs: 10 |
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### Training results |
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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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- 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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