Downloads · 30 days
20
2% of all-time downloads
sagemaker-BioclinicalBERT-ADR
anindabitm/sagemaker-BioclinicalBERT-ADR
sagemaker-BioclinicalBERT-ADR is a question answering model from anindabitm. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.3K
Public
Repo size
862 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin431 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 18, 2021
- SHA
- 98e33774
Try a prompt
Datasets
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. -->
sagemaker-BioclinicalBERT-ADR
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the ade_corpus_v2 dataset.
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 171 | 0.9441 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Nov 18, 2021