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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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- wiselinjayajos/squad_modified_for_t5_qg |
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widget: |
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- text: "generate question: Python is developed by Guido Van Rossum and released in 1991.</s>" |
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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 v1.1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5789 |
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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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| 2.5879 | 0.34 | 100 | 1.9133 | |
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| 1.9688 | 0.68 | 200 | 1.7313 | |
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| 1.8513 | 1.02 | 300 | 1.6691 | |
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| 1.7459 | 1.36 | 400 | 1.6413 | |
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| 1.7206 | 1.69 | 500 | 1.6200 | |
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| 1.7026 | 2.03 | 600 | 1.6101 | |
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| 1.6447 | 2.37 | 700 | 1.5983 | |
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| 1.6402 | 2.71 | 800 | 1.5979 | |
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| 1.6332 | 3.05 | 900 | 1.5924 | |
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| 1.5953 | 3.39 | 1000 | 1.5877 | |
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| 1.5922 | 3.73 | 1100 | 1.5854 | |
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| 1.5832 | 4.07 | 1200 | 1.5830 | |
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| 1.5726 | 4.41 | 1300 | 1.5799 | |
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| 1.5587 | 4.75 | 1400 | 1.5789 | |
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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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