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ClinicalTrialBioBert
domenicrosati/ClinicalTrialBioBert
ClinicalTrialBioBert is a fill-mask model from domenicrosati. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2022
- Updated
- Dec 13, 2022
- SHA
- 9d571ada
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ClinicalTrialBioBERT
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on Clinical Trial Texts Dataset.
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
Trained on 500k steps of Clinical Trial Texts Dataset
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
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Dec 4, 2022
- Updated
- Dec 13, 2022