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BioLinkBERT-base-drugtemist-en-fasttext-9-ner
Rodrigo1771/BioLinkBERT-base-drugtemist-en-fasttext-9-ner
BioLinkBERT-base-drugtemist-en-fasttext-9-ner is a token classification model from Rodrigo1771. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024
- SHA
- 15ed461b
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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. -->
output
This model is a fine-tuned version of michiyasunaga/BioLinkBERT-base on the Rodrigo1771/drugtemist-en-fasttext-9-ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.0071
- Precision: 0.9312
- Recall: 0.9329
- F1: 0.9320
- Accuracy: 0.9988
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.9989 | 435 | 0.0060 | 0.8714 | 0.9217 | 0.8958 | 0.9981 |
| 0.0156 | 2.0 | 871 | 0.0044 | 0.9183 | 0.9217 | 0.92 | 0.9987 |
| 0.0038 | 2.9989 | 1306 | 0.0040 | 0.8969 | 0.9404 | 0.9181 | 0.9987 |
| 0.0025 | 4.0 | 1742 | 0.0045 | 0.9078 | 0.9357 | 0.9215 | 0.9986 |
| 0.0016 | 4.9989 | 2177 | 0.0054 | 0.9182 | 0.9096 | 0.9139 | 0.9986 |
| 0.0011 | 6.0 | 2613 | 0.0053 | 0.9152 | 0.9254 | 0.9203 | 0.9986 |
| 0.0009 | 6.9989 | 3048 | 0.0060 | 0.9263 | 0.9366 | 0.9314 | 0.9987 |
| 0.0009 | 8.0 | 3484 | 0.0059 | 0.9181 | 0.9404 | 0.9291 | 0.9988 |
| 0.0005 | 8.9989 | 3919 | 0.0067 | 0.9258 | 0.9301 | 0.9279 | 0.9988 |
| 0.0003 | 9.9885 | 4350 | 0.0071 | 0.9312 | 0.9329 | 0.9320 | 0.9988 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024