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bert-base-multilingual-cased-WNUT-ner
dmargutierrez/bert-base-multilingual-cased-WNUT-ner
bert-base-multilingual-cased-WNUT-ner is a token classification model from dmargutierrez. 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
- Mar 15, 2023
- Updated
- Mar 15, 2023
- SHA
- c6fab31e
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Datasets
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-multilingual-cased-WNUT-ner
This model is a fine-tuned version of bert-base-multilingual-cased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3832
- Precision: 0.5914
- Recall: 0.3809
- F1: 0.4634
- Accuracy: 0.9501
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: 16
- eval_batch_size: 16
- 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 | 213 | 0.2791 | 0.6008 | 0.2817 | 0.3836 | 0.9427 |
| No log | 2.0 | 426 | 0.2697 | 0.6520 | 0.3299 | 0.4382 | 0.9479 |
| 0.148 | 3.0 | 639 | 0.2846 | 0.5783 | 0.3661 | 0.4484 | 0.9492 |
| 0.148 | 4.0 | 852 | 0.3032 | 0.6248 | 0.3642 | 0.4602 | 0.9500 |
| 0.0413 | 5.0 | 1065 | 0.3355 | 0.5729 | 0.3568 | 0.4397 | 0.9495 |
| 0.0413 | 6.0 | 1278 | 0.3343 | 0.5714 | 0.3892 | 0.4631 | 0.9501 |
| 0.0413 | 7.0 | 1491 | 0.3522 | 0.5877 | 0.3818 | 0.4629 | 0.9500 |
| 0.0182 | 8.0 | 1704 | 0.3844 | 0.6120 | 0.3698 | 0.4610 | 0.9499 |
| 0.0182 | 9.0 | 1917 | 0.3847 | 0.5986 | 0.3828 | 0.4669 | 0.9504 |
| 0.008 | 10.0 | 2130 | 0.3832 | 0.5914 | 0.3809 | 0.4634 | 0.9501 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023