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End of training

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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: RobertaLr1e-8Wd0.02E20
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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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+ # RobertaLr1e-8Wd0.02E20
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.2435
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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: 1e-08
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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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+ | 3.9511 | 1.0 | 72 | 3.9642 |
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+ | 2.6869 | 2.0 | 144 | 3.8774 |
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+ | 3.0261 | 3.0 | 216 | 3.7963 |
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+ | 2.659 | 4.0 | 288 | 3.7220 |
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+ | 5.0333 | 5.0 | 360 | 3.6540 |
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+ | 4.4433 | 6.0 | 432 | 3.5911 |
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+ | 4.8192 | 7.0 | 504 | 3.5341 |
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+ | 3.7868 | 8.0 | 576 | 3.4826 |
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+ | 2.4543 | 9.0 | 648 | 3.4379 |
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+ | 2.4081 | 10.0 | 720 | 3.3981 |
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+ | 4.04 | 11.0 | 792 | 3.3631 |
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+ | 3.5419 | 12.0 | 864 | 3.3344 |
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+ | 2.8603 | 13.0 | 936 | 3.3092 |
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+ | 4.191 | 14.0 | 1008 | 3.2884 |
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+ | 3.1615 | 15.0 | 1080 | 3.2721 |
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+ | 2.8836 | 16.0 | 1152 | 3.2593 |
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+ | 4.573 | 17.0 | 1224 | 3.2509 |
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+ | 2.5001 | 18.0 | 1296 | 3.2459 |
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+ | 3.3777 | 19.0 | 1368 | 3.2438 |
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+ | 2.5643 | 20.0 | 1440 | 3.2435 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.4.0
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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