fabriceyhc/bert-base-uncased-dbpedia_14

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bert-base-uncased-dbpedia_14

This model is a fine-tuned version of bert-base-uncased on the dbpedia_14 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0547
• —Accuracy: 0.9903

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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 34650
• —training_steps: 346500

Training results

Framework versions

• —Transformers 4.10.2
• —Pytorch 1.7.1
• —Datasets 1.6.1
• —Tokenizers 0.10.3