Downloads · 30 days
10
2% of all-time downloads
biobert-base-cased-v1.2-finetuned-smpc
sophy/biobert-base-cased-v1.2-finetuned-smpc
biobert-base-cased-v1.2-finetuned-smpc is a fill-mask model from sophy. 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. --
All-time downloads
418
Public
Parameters
108M
867 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 50%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 31, 2023
- Updated
- Aug 14, 2023
- SHA
- bf7fdc6d
Try a prompt
Base models
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. -->
biobert-base-cased-v1.2-finetuned-smpc
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on SMPC (https://www.medicines.org.uk/) dataset. It achieves the following results on the evaluation set:
- Loss: 1.0198
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3354 | 1.0 | 157 | 1.1175 |
| 1.1599 | 2.0 | 314 | 1.0456 |
| 1.1063 | 3.0 | 471 | 1.0232 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jul 31, 2023
- Updated
- Aug 14, 2023