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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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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 [TingChenChang/t5-end2end-questions-generation](https://huggingface.co/TingChenChang/t5-end2end-questions-generation) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5291
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5711 | 0.4 | 100 | 1.6119 |
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| 1.5353 | 0.8 | 200 | 1.6052 |
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| 1.502 | 1.2 | 300 | 1.6082 |
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| 1.4525 | 1.6 | 400 | 1.5918 |
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| 1.4463 | 2.0 | 500 | 1.5847 |
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| 1.3885 | 2.4 | 600 | 1.6236 |
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| 1.4029 | 2.8 | 700 | 1.5962 |
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| 1.3947 | 3.2 | 800 | 1.5932 |
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| 1.3685 | 3.6 | 900 | 1.5898 |
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| 1.3926 | 4.0 | 1000 | 1.5624 |
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| 1.4666 | 4.4 | 1100 | 1.5535 |
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| 1.4573 | 4.8 | 1200 | 1.5483 |
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| 1.4342 | 5.2 | 1300 | 1.5449 |
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| 1.4281 | 5.6 | 1400 | 1.5347 |
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| 1.4031 | 6.0 | 1500 | 1.5456 |
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| 1.375 | 6.4 | 1600 | 1.5375 |
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| 1.3867 | 6.8 | 1700 | 1.5393 |
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| 1.3763 | 7.2 | 1800 | 1.5401 |
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| 1.357 | 7.6 | 1900 | 1.5361 |
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| 1.3568 | 8.0 | 2000 | 1.5295 |
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| 1.3503 | 8.4 | 2100 | 1.5377 |
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| 1.3335 | 8.8 | 2200 | 1.5353 |
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| 1.3416 | 9.2 | 2300 | 1.5288 |
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| 1.3179 | 9.6 | 2400 | 1.5324 |
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| 1.3276 | 10.0 | 2500 | 1.5291 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.12.1+cu102
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- Datasets 2.6.1
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- Tokenizers 0.12.1
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