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results
luisgonzalez02/results
results is a token classification model from luisgonzalez02. 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
- Jun 6, 2024
- Updated
- Jun 7, 2024
- SHA
- ab04b437
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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. -->
results
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0635
- Precision: 0.9307
- Recall: 0.9497
- F1: 0.9401
- Accuracy: 0.9864
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2313 | 0.2847 | 500 | 0.1403 | 0.8444 | 0.8696 | 0.8568 | 0.9626 |
| 0.1088 | 0.5695 | 1000 | 0.0887 | 0.8717 | 0.9098 | 0.8903 | 0.9765 |
| 0.1211 | 0.8542 | 1500 | 0.0846 | 0.9076 | 0.9238 | 0.9156 | 0.9784 |
| 0.0503 | 1.1390 | 2000 | 0.0753 | 0.9101 | 0.9354 | 0.9226 | 0.9814 |
| 0.0493 | 1.4237 | 2500 | 0.0630 | 0.9170 | 0.9421 | 0.9294 | 0.9833 |
| 0.0624 | 1.7084 | 3000 | 0.0705 | 0.9277 | 0.9366 | 0.9321 | 0.9837 |
| 0.0313 | 1.9932 | 3500 | 0.0675 | 0.9270 | 0.9426 | 0.9347 | 0.9843 |
| 0.0335 | 2.2779 | 4000 | 0.0661 | 0.9284 | 0.9492 | 0.9387 | 0.9857 |
| 0.0098 | 2.5626 | 4500 | 0.0693 | 0.9347 | 0.9473 | 0.9410 | 0.9849 |
| 0.0099 | 2.8474 | 5000 | 0.0635 | 0.9307 | 0.9497 | 0.9401 | 0.9864 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 6, 2024
- Updated
- Jun 7, 2024