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scibert_ner_drugname
duytu/scibert_ner_drugname
scibert_ner_drugname is a token classification model from duytu. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 25, 2024
- Updated
- Mar 24, 2024
- SHA
- 92d08f83
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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. -->
scibert_ner_drugname
This model is a fine-tuned version of allenai/scibert_scivocab_cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1243
- Precision: 0.7631
- Recall: 0.8520
- F1: 0.8051
- Accuracy: 0.9722
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0733 | 1.0 | 120 | 0.1176 | 0.6466 | 0.7713 | 0.7035 | 0.9583 |
| 0.0069 | 2.0 | 240 | 0.1126 | 0.6757 | 0.7848 | 0.7261 | 0.9654 |
| 0.0521 | 3.0 | 360 | 0.0949 | 0.7461 | 0.8565 | 0.7975 | 0.9707 |
| 0.0217 | 4.0 | 480 | 0.0972 | 0.7171 | 0.8296 | 0.7692 | 0.9718 |
| 0.001 | 5.0 | 600 | 0.1111 | 0.7422 | 0.8520 | 0.7933 | 0.9707 |
| 0.0044 | 6.0 | 720 | 0.1138 | 0.7664 | 0.8386 | 0.8009 | 0.9715 |
| 0.0011 | 7.0 | 840 | 0.1155 | 0.7449 | 0.8251 | 0.7830 | 0.9699 |
| 0.0006 | 8.0 | 960 | 0.1213 | 0.7344 | 0.8430 | 0.7850 | 0.9716 |
| 0.0289 | 9.0 | 1080 | 0.1238 | 0.7661 | 0.8520 | 0.8068 | 0.9718 |
| 0.0096 | 10.0 | 1200 | 0.1243 | 0.7631 | 0.8520 | 0.8051 | 0.9722 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 25, 2024
- Updated
- Mar 24, 2024