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bert-finetuned-ner4invoice13
jgaertner/bert-finetuned-ner4invoice13
bert-finetuned-ner4invoice13 is a token classification model from jgaertner. 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
- Jul 1, 2024
- Updated
- Jul 1, 2024
- SHA
- cf2cfb18
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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-ner4invoice13
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0188
- Precision: 0.9038
- Recall: 0.9592
- F1: 0.9307
- Accuracy: 0.9949
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 | 14 | 0.4838 | 0.0 | 0.0 | 0.0 | 0.8854 |
| No log | 2.0 | 28 | 0.2109 | 0.2167 | 0.2653 | 0.2385 | 0.9512 |
| No log | 3.0 | 42 | 0.1063 | 0.6349 | 0.8163 | 0.7143 | 0.9716 |
| No log | 4.0 | 56 | 0.0602 | 0.7818 | 0.8776 | 0.8269 | 0.9825 |
| No log | 5.0 | 70 | 0.0361 | 0.9231 | 0.9796 | 0.9505 | 0.9909 |
| No log | 6.0 | 84 | 0.0305 | 0.9231 | 0.9796 | 0.9505 | 0.9927 |
| No log | 7.0 | 98 | 0.0476 | 0.8545 | 0.9592 | 0.9038 | 0.9898 |
| No log | 8.0 | 112 | 0.0211 | 0.9038 | 0.9592 | 0.9307 | 0.9942 |
| No log | 9.0 | 126 | 0.0258 | 0.9057 | 0.9796 | 0.9412 | 0.9924 |
| No log | 10.0 | 140 | 0.0188 | 0.9038 | 0.9592 | 0.9307 | 0.9949 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024