JazibEijaz/bert-base-uncased-finetuned-semeval2020-task4a

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bert-base-uncased-finetuned-semeval2020-task4a

This model is a fine-tuned version of bert-base-uncased on the ComVE dataset which was part of SemEval 2020 Task 4. It achieves the following results on the test set:

• —Loss: 0.2782
• —Accuracy: 0.9040

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.12.3
• —Pytorch 1.9.1
• —Datasets 1.12.1
• —Tokenizers 0.10.3