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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 |
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model-index: |
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- name: t5-end2end-question-generation |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: squad |
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type: squad |
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args: plain_text |
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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-question-generation |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5691 |
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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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| 2.5834 | 0.34 | 100 | 1.9107 | |
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| 1.9642 | 0.68 | 200 | 1.7227 | |
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| 1.8526 | 1.02 | 300 | 1.6627 | |
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| 1.7383 | 1.36 | 400 | 1.6354 | |
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| 1.7223 | 1.69 | 500 | 1.6154 | |
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| 1.6871 | 2.03 | 600 | 1.6096 | |
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| 1.6309 | 2.37 | 700 | 1.6048 | |
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| 1.6242 | 2.71 | 800 | 1.5923 | |
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| 1.6226 | 3.05 | 900 | 1.5855 | |
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| 1.5645 | 3.39 | 1000 | 1.5874 | |
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| 1.5705 | 3.73 | 1100 | 1.5822 | |
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| 1.5543 | 4.07 | 1200 | 1.5817 | |
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| 1.5284 | 4.41 | 1300 | 1.5841 | |
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| 1.5275 | 4.75 | 1400 | 1.5741 | |
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| 1.5269 | 5.08 | 1500 | 1.5715 | |
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| 1.5079 | 5.42 | 1600 | 1.5701 | |
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| 1.4876 | 5.76 | 1700 | 1.5754 | |
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| 1.498 | 6.1 | 1800 | 1.5699 | |
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| 1.4852 | 6.44 | 1900 | 1.5693 | |
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| 1.4776 | 6.78 | 2000 | 1.5691 | |
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### Framework versions |
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- Transformers 4.10.3 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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