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End of training

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  1. README.md +66 -0
  2. pytorch_model.bin +1 -1
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: QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08
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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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+ # QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08
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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: 0.9623
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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: 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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+
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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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+ | 0.8848 | 1.0 | 9137 | 0.8389 |
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+ | 0.7753 | 2.0 | 18274 | 0.7794 |
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+ | 0.7765 | 3.0 | 27411 | 0.8597 |
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+ | 0.8242 | 4.0 | 36548 | 0.8571 |
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+ | 0.6728 | 5.0 | 45685 | 0.9071 |
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+ | 0.7219 | 6.0 | 54822 | 0.7628 |
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+ | 0.6047 | 7.0 | 63959 | 0.9108 |
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+ | 0.6137 | 8.0 | 73096 | 0.8685 |
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+ | 0.5439 | 9.0 | 82233 | 0.8586 |
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+ | 0.5387 | 10.0 | 91370 | 0.9623 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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