Downloads · 30 days
15
0% of all-time downloads
PubMedBERT-full-finetuned-ner-pablo
pabRomero/PubMedBERT-full-finetuned-ner-pablo
PubMedBERT-full-finetuned-ner-pablo is a token classification model from pabRomero. Use it when you need labels on individual words, such as names. 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
33.2K
Public
Parameters
109M
7.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Oct 2, 2024
- SHA
- 5582d7ba
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. -->
PubMedBERT-full-finetuned-ner-pablo
This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on the n2c2 2018 dataset for the paper https://arxiv.org/abs/2409.19467. It achieves the following results on the evaluation set:
- Loss: 0.0712
- Precision: 0.8087
- Recall: 0.7954
- F1: 0.8020
- Accuracy: 0.9781
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 231 | 0.0934 | 0.7464 | 0.7652 | 0.7557 | 0.9730 |
| No log | 2.0 | 462 | 0.0730 | 0.7975 | 0.7915 | 0.7945 | 0.9774 |
| 0.2789 | 3.0 | 693 | 0.0713 | 0.8075 | 0.7924 | 0.7999 | 0.9777 |
| 0.2789 | 4.0 | 924 | 0.0712 | 0.8087 | 0.7954 | 0.8020 | 0.9781 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 17, 2024
- Updated
- Oct 2, 2024