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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: flan-t5-end2end-question-generation
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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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+ # flan-t5-end2end-question-generation
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6214
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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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: 7
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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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+ | 2.6935 | 0.68 | 100 | 1.9503 |
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+ | 2.0864 | 1.35 | 200 | 1.8105 |
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+ | 1.9497 | 2.03 | 300 | 1.7440 |
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+ | 1.8739 | 2.71 | 400 | 1.6970 |
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+ | 1.8173 | 3.39 | 500 | 1.6763 |
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+ | 1.7876 | 4.06 | 600 | 1.6613 |
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+ | 1.7596 | 4.74 | 700 | 1.6343 |
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+ | 1.7368 | 5.42 | 800 | 1.6326 |
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+ | 1.7225 | 6.1 | 900 | 1.6207 |
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+ | 1.7138 | 6.77 | 1000 | 1.6214 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.4
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+ - Pytorch 1.13.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.2