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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_Model2 |
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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_Model2 |
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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: 3.4686 |
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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: 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 |
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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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| 1.5891 | 1.0 | 16 | 2.3028 | |
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| 0.5036 | 2.0 | 32 | 2.0374 | |
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| 0.1452 | 3.0 | 48 | 2.3434 | |
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| 0.0193 | 4.0 | 64 | 2.5063 | |
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| 0.2838 | 5.0 | 80 | 2.6404 | |
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| 0.013 | 6.0 | 96 | 3.3407 | |
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| 1.3265 | 7.0 | 112 | 3.3117 | |
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| 0.0045 | 8.0 | 128 | 3.3379 | |
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| 0.0028 | 9.0 | 144 | 3.4341 | |
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| 0.0046 | 10.0 | 160 | 3.4686 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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