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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: 1.5791
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5888 | 0.34 | 100 | 1.9194 |
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| 1.9722 | 0.68 | 200 | 1.7316 |
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| 1.8479 | 1.02 | 300 | 1.6689 |
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| 1.7478 | 1.35 | 400 | 1.6409 |
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| 1.7204 | 1.69 | 500 | 1.6268 |
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| 1.6986 | 2.03 | 600 | 1.6105 |
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| 1.6437 | 2.37 | 700 | 1.6007 |
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| 1.639 | 2.71 | 800 | 1.5952 |
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| 1.6261 | 3.05 | 900 | 1.5909 |
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| 1.5915 | 3.39 | 1000 | 1.5861 |
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| 1.5917 | 3.73 | 1100 | 1.5829 |
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| 1.5772 | 4.06 | 1200 | 1.5788 |
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| 1.5697 | 4.4 | 1300 | 1.5800 |
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| 1.557 | 4.74 | 1400 | 1.5791 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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