medicalai_ClinicalBERT-2025-04-11_22-11-59

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
• eval_samples_per_second: 441.947
• eval_steps_per_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
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Framework versions

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