Downloads · 30 days
7
2% of all-time downloads
finetuned
zhfanrui/finetuned
finetuned is a token classification model from zhfanrui. 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
322
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023
- SHA
- bd48e3e7
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. -->
finetuned
This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- Loss: 0.0568
- Precision: 0.8246
- Recall: 0.8725
- F1: 0.8479
- Accuracy: 0.9839
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 170 | 0.0582 | 0.7621 | 0.8506 | 0.8040 | 0.9816 |
| No log | 2.0 | 340 | 0.0588 | 0.8074 | 0.8535 | 0.8298 | 0.9828 |
| 0.0712 | 3.0 | 510 | 0.0568 | 0.8246 | 0.8725 | 0.8479 | 0.9839 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023