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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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datasets: |
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- squad_modified_for_t5_qg |
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model-index: |
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- name: t5-end2end-questions-generation |
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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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# t5-end2end-questions-generation |
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This model is a fine-tuned version of [t5-base](https://huggingface.co./t5-base) on the squad_modified_for_t5_qg dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.6143 |
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- eval_runtime: 96.0898 |
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- eval_samples_per_second: 21.511 |
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- eval_steps_per_second: 5.38 |
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- epoch: 2.03 |
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- step: 600 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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: 4 |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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