muhtasham/bert-small-finetuned-eoir_privacy-longer20

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bertuncasedL-4H-512A-8-finetuned-eoirprivacy-longer-finetuned-eoirprivacy-longer20

This model was trained from scratch on the eoir_privacy dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1994
• —Accuracy: 0.9469
• —F1: 0.8783

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.21.1
• —Pytorch 1.12.1+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1