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bert-finetuned-ner
eeshclusive/bert-finetuned-ner
bert-finetuned-ner is a token classification model from eeshclusive. 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
- Oct 27, 2023
- Updated
- Oct 28, 2023
- SHA
- 0f3d08a8
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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. -->
bert-finetuned-ner
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7641
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.8610
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 2.2048 | 0.0 | 0.0 | 0.0 | 0.7375 |
| No log | 2.0 | 4 | 1.7459 | 0.0 | 0.0 | 0.0 | 0.8533 |
| No log | 3.0 | 6 | 1.3333 | 0.0 | 0.0 | 0.0 | 0.8571 |
| No log | 4.0 | 8 | 1.0206 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 5.0 | 10 | 0.8468 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 6.0 | 12 | 0.7808 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 7.0 | 14 | 0.7649 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 8.0 | 16 | 0.7639 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 9.0 | 18 | 0.7644 | 0.0 | 0.0 | 0.0 | 0.8610 |
| No log | 10.0 | 20 | 0.7641 | 0.0 | 0.0 | 0.0 | 0.8610 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Oct 28, 2023