JazibEijaz/bert-base-uncased-finetuned-semeval2020-task4a-append-e2-b32-l5e5

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bert-base-uncased-finetuned-semeval2020-task4a-append-e2-b32-l5e5

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5466
• —Accuracy: 0.8890

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 4e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

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