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bert-base-uncased-finetuned-ner-increased
jeongyoun/bert-base-uncased-finetuned-ner-increased
bert-base-uncased-finetuned-ner-increased is a machine learning model from jeongyoun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 30, 2024
- Updated
- Nov 6, 2024
- SHA
- 8320fe82
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. -->
bert-base-uncased-finetuned-ner-increased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
- Precision: 0.9933
- Recall: 0.9941
- F1: 0.9937
- Accuracy: 0.9981
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
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0102 | 0.9997 | 1562 | 0.0078 | 0.9902 | 0.9925 | 0.9914 | 0.9974 |
| 0.0053 | 2.0 | 3125 | 0.0068 | 0.9940 | 0.9926 | 0.9933 | 0.9980 |
| 0.0032 | 2.9990 | 4686 | 0.0067 | 0.9942 | 0.9935 | 0.9939 | 0.9982 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Aug 30, 2024
- Updated
- Nov 6, 2024