ClinicalTrialBioBERT
Model description
A Clinical Trial Language Model.
Intended uses & limitations
Use when you need domain knowledge from the clinical trial domain.
Training and evaluation data
Perplexity of BioBERT:
Perplexity of ClinicalTrialBioBERT:
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 128
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500000
- mixed_precision_training: Native AMP
Training results
10k step training loss: 0.92
500k step training loss: 0.50
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.7.1
- Tokenizers 0.12.1
