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bert-large-uncased-wnut_17-full
yefo-ufpe/bert-large-uncased-wnut_17-full
bert-large-uncased-wnut_17-full is a token classification model from yefo-ufpe. 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
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- a048b3c3
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Base models
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-large-uncased-wnut_17-full
This model is a fine-tuned version of google-bert/bert-large-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4040
- Precision: 0.6546
- Recall: 0.3865
- F1: 0.4860
- Accuracy: 0.9493
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-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 | 0.2471 | 0.6341 | 0.3726 | 0.4694 | 0.9461 |
| No log | 2.0 | 426 | 0.2454 | 0.5882 | 0.3707 | 0.4548 | 0.9475 |
| 0.1196 | 3.0 | 639 | 0.3091 | 0.6278 | 0.3689 | 0.4647 | 0.9490 |
| 0.1196 | 4.0 | 852 | 0.3758 | 0.6536 | 0.3411 | 0.4482 | 0.9473 |
| 0.0235 | 5.0 | 1065 | 0.3127 | 0.5632 | 0.4004 | 0.4680 | 0.9490 |
| 0.0235 | 6.0 | 1278 | 0.3988 | 0.6562 | 0.3698 | 0.4730 | 0.9492 |
| 0.0235 | 7.0 | 1491 | 0.4040 | 0.6546 | 0.3865 | 0.4860 | 0.9493 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024