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update model card README.md
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README.md
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---
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license: cc-by-4.0
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base_model: deepset/roberta-base-squad2
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tags:
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- generated_from_trainer
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model-index:
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- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_roberta-base_squad2
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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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# QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_roberta-base_squad2
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0555
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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: 2
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- eval_batch_size: 2
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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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| 0.0611 | 1.0 | 4874 | 0.0865 |
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| 0.0528 | 2.0 | 9748 | 0.0644 |
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| 0.0729 | 3.0 | 14622 | 0.0914 |
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| 0.0213 | 4.0 | 19496 | 0.0921 |
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| 0.037 | 5.0 | 24370 | 0.0560 |
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| 0.0186 | 6.0 | 29244 | 0.0506 |
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| 0.0165 | 7.0 | 34118 | 0.0562 |
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| 0.0069 | 8.0 | 38992 | 0.0454 |
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| 0.0003 | 9.0 | 43866 | 0.0522 |
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| 0.0 | 10.0 | 48740 | 0.0555 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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