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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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model-index:
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- name: t5-end-to-end-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-end-to-end-questions-generation
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2854
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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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| 1.7656 | 0.43 | 100 | 1.3979 |
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| 1.5042 | 0.86 | 200 | 1.3440 |
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| 1.3992 | 1.3 | 300 | 1.3230 |
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| 1.3654 | 1.73 | 400 | 1.3035 |
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| 1.3329 | 2.16 | 500 | 1.2980 |
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| 1.2613 | 2.59 | 600 | 1.2880 |
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| 1.2684 | 3.02 | 700 | 1.2798 |
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| 1.2107 | 3.45 | 800 | 1.2847 |
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| 1.2081 | 3.89 | 900 | 1.2808 |
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| 1.1707 | 4.32 | 1000 | 1.2881 |
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| 1.1633 | 4.75 | 1100 | 1.2814 |
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| 1.1607 | 5.18 | 1200 | 1.2839 |
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| 1.1272 | 5.61 | 1300 | 1.2852 |
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| 1.1266 | 6.05 | 1400 | 1.2838 |
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| 1.1045 | 6.48 | 1500 | 1.2857 |
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| 1.1117 | 6.91 | 1600 | 1.2854 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0
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- Datasets 2.12.0
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- Tokenizers 0.11.0
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