Downloads · 30 days
4
17% of all-time downloads
PubMedBERT-LitCovid-v1.2
sofia-todeschini/PubMedBERT-LitCovid-v1.2
PubMedBERT-LitCovid-v1.2 is a text classification model from sofia-todeschini. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
23
Public
Repo size
2.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 11, 2023
- Updated
- Jul 11, 2023
- SHA
- 9ec056a3
Try a prompt
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. -->
PubMedBERT-LitCovid-v1.2
This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0998
- F1: 0.9200
- Roc Auc: 0.9529
- Accuracy: 0.7868
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1017 | 1.0 | 2211 | 0.0897 | 0.9155 | 0.9492 | 0.7722 |
| 0.0742 | 2.0 | 4422 | 0.0868 | 0.9177 | 0.9508 | 0.7778 |
| 0.0559 | 3.0 | 6633 | 0.0903 | 0.9191 | 0.9521 | 0.7827 |
| 0.0396 | 4.0 | 8844 | 0.0955 | 0.9184 | 0.9512 | 0.7814 |
| 0.0282 | 5.0 | 11055 | 0.0998 | 0.9200 | 0.9529 | 0.7868 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 11, 2023
- Updated
- Jul 11, 2023