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README.md ADDED
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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: roberta-base-squad2-finetuned-newqa1
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+ results: []
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+ ---
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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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+
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+ # roberta-base-squad2-finetuned-newqa1
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+
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+ This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.3201
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 66 | 2.2730 |
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+ | No log | 2.0 | 132 | 1.9853 |
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+ | No log | 3.0 | 198 | 2.0627 |
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+ | No log | 4.0 | 264 | 2.3190 |
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+ | No log | 5.0 | 330 | 2.5382 |
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+ | No log | 6.0 | 396 | 3.0129 |
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+ | No log | 7.0 | 462 | 3.0762 |
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+ | 1.127 | 8.0 | 528 | 3.3226 |
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+ | 1.127 | 9.0 | 594 | 3.4531 |
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+ | 1.127 | 10.0 | 660 | 3.9486 |
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+ | 1.127 | 11.0 | 726 | 3.7776 |
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+ | 1.127 | 12.0 | 792 | 3.5990 |
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+ | 1.127 | 13.0 | 858 | 3.7593 |
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+ | 1.127 | 14.0 | 924 | 4.0871 |
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+ | 1.127 | 15.0 | 990 | 4.0839 |
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+ | 0.1163 | 16.0 | 1056 | 4.2244 |
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+ | 0.1163 | 17.0 | 1122 | 4.2595 |
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+ | 0.1163 | 18.0 | 1188 | 4.3196 |
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+ | 0.1163 | 19.0 | 1254 | 4.3051 |
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+ | 0.1163 | 20.0 | 1320 | 4.3201 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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