ashercn97/medicalai_ClinicalBERT-2025-04-11_22-11-59

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medicalaiClinicalBERT-2025-04-1122-11-59

This model is a fine-tuned version of medicalai/ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 2.4833
• —eval_runtime: 9.9062
• —evalsamplesper_second: 441.947
• —evalstepsper_second: 55.319
• —epoch: 1.3290
• —step: 9000

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: 64
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Framework versions

• —Transformers 4.51.2
• —Pytorch 2.6.0
• —Datasets 3.5.0
• —Tokenizers 0.21.1