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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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- Loss: 1.5679
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5866 | 0.34 | 100 | 1.9116 |
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| 1.9674 | 0.68 | 200 | 1.7280 |
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| 1.8487 | 1.02 | 300 | 1.6650 |
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| 1.7429 | 1.36 | 400 | 1.6400 |
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| 1.7148 | 1.69 | 500 | 1.6214 |
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| 1.695 | 2.03 | 600 | 1.6076 |
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| 1.6321 | 2.37 | 700 | 1.5979 |
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| 1.6276 | 2.71 | 800 | 1.5910 |
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| 1.6171 | 3.05 | 900 | 1.5875 |
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| 1.5712 | 3.39 | 1000 | 1.5898 |
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| 1.5702 | 3.73 | 1100 | 1.5749 |
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| 1.5594 | 4.07 | 1200 | 1.5798 |
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| 1.5352 | 4.41 | 1300 | 1.5733 |
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| 1.5228 | 4.75 | 1400 | 1.5733 |
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| 1.524 | 5.08 | 1500 | 1.5727 |
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| 1.4954 | 5.42 | 1600 | 1.5699 |
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| 1.4866 | 5.76 | 1700 | 1.5696 |
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| 1.5089 | 6.1 | 1800 | 1.5696 |
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| 1.4771 | 6.44 | 1900 | 1.5736 |
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| 1.4772 | 6.78 | 2000 | 1.5679 |
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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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