metadata
library_name: transformers
base_model: medicalai/ClinicalBERT
tags:
- generated_from_trainer
model-index:
- name: medicalai_ClinicalBERT-2025-04-11_22-11-59
results: []
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