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BERT_ep9_lr2
Sarveshj/BERT_ep9_lr2
BERT_ep9_lr2 is a token classification model from Sarveshj. 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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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. -->
BERT_ep9_lr2
This model is a fine-tuned version of ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0899
- Precision: 0.8601
- Recall: 0.8819
- F1: 0.8709
- Accuracy: 0.9780
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 467 | 0.0847 | 0.8136 | 0.8571 | 0.8348 | 0.9722 |
| 0.1137 | 2.0 | 934 | 0.0748 | 0.8367 | 0.8735 | 0.8547 | 0.9755 |
| 0.0747 | 3.0 | 1401 | 0.0747 | 0.8550 | 0.8702 | 0.8625 | 0.9769 |
| 0.0603 | 4.0 | 1868 | 0.0805 | 0.8485 | 0.8765 | 0.8622 | 0.9769 |
| 0.0479 | 5.0 | 2335 | 0.0830 | 0.8607 | 0.8778 | 0.8692 | 0.9776 |
| 0.0433 | 6.0 | 2802 | 0.0853 | 0.8560 | 0.8803 | 0.8680 | 0.9775 |
| 0.0352 | 7.0 | 3269 | 0.0869 | 0.8567 | 0.8852 | 0.8707 | 0.9778 |
| 0.0329 | 8.0 | 3736 | 0.0884 | 0.8583 | 0.8822 | 0.8701 | 0.9779 |
| 0.0305 | 9.0 | 4203 | 0.0899 | 0.8601 | 0.8819 | 0.8709 | 0.9780 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 11, 2023
- Updated
- Jan 31, 2025