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generate.sh script.2.4.1 of transformers package. Newer versions has some issue in text generation and the model repeats the last token generated again and again.<|continue|> as a separator, then the model finetuned using CLM objective.
The model trained on Nvidia Tesla P100 GPU from Google Colab platform with 5e-5 learning rate, 5 epochs, 128 maximum sequence length and 64 batch size.
| Against Commonsense Statement | Generated Reason |
|---|---|
| Chicken can swim in water. | Chicken can't swim. |
| shoes can fly | Shoes are not able to fly. |
| Chocolate can be used to make a coffee pot | Chocolate is not used to make coffee pots. |
| you can also buy tickets online with an identity card | You can't buy tickets with an identity card. |
| a ball is square and can roll | A ball is round and cannot roll. |
| You can use detergent to dye your hair. | Detergent is used to wash clothes. |
| you can eat mercury | mercury is poisonous |
| A gardener can follow a suspect | gardener is not a police officer |
| cars can float in the ocean just like a boat | Cars are too heavy to float in the ocean. |
| I am going to work so I can lose money. | Working is not a way to lose money. |
1@article{fadel2020justers,
2 title={JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models Against Commonsense Validation and Explanation},
3 author={Fadel, Ali and Al-Ayyoub, Mahmoud and Cambria, Erik},
4 year={2020}
5}