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README.md
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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_v2_modified_for_t5_qg
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model-index:
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- name: t5-end2end-questions-generation-squadV2
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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-squadV2
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_v2_modified_for_t5_qg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6425
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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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| 2.6214 | 0.34 | 100 | 1.9787 |
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| 1.9902 | 0.67 | 200 | 1.7963 |
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| 1.8772 | 1.01 | 300 | 1.7362 |
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| 1.7767 | 1.35 | 400 | 1.7150 |
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| 1.7448 | 1.68 | 500 | 1.6903 |
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| 1.736 | 2.02 | 600 | 1.6708 |
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| 1.6759 | 2.36 | 700 | 1.6758 |
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| 1.6587 | 2.69 | 800 | 1.6682 |
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| 1.6544 | 3.03 | 900 | 1.6550 |
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| 1.6185 | 3.37 | 1000 | 1.6511 |
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| 1.6116 | 3.7 | 1100 | 1.6527 |
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| 1.6158 | 4.04 | 1200 | 1.6543 |
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| 1.5811 | 4.38 | 1300 | 1.6415 |
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| 1.5831 | 4.71 | 1400 | 1.6425 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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