ahmedfarazsyk/bert-base-uncased-finetuned-drugsCom

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bert-base-uncased-finetuned-drugsCom

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: 1.4988
• —F1: 0.6392
• —Acc: 0.6798
• —Pre: 0.6254
• —Recall: 0.6798

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.53.3
• —Pytorch 2.6.0+cu124
• —Datasets 4.4.1
• —Tokenizers 0.21.2