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wnut_distilbert_NER_nameEntity_ffx_encrypt
perfectsquare123/wnut_distilbert_NER_nameEntity_ffx_encrypt
wnut_distilbert_NER_nameEntity_ffx_encrypt is a token classification model from perfectsquare123. 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
- distilbert
- Access
- Public
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- 6ef8e3f0
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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. -->
wnut_distilbert_NER_nameEntity_ffx_encrypt
This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2655
- Precision: 0.3972
- Recall: 0.3689
- F1: 0.3825
- Accuracy: 0.9374
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3758 | 1.0 | 107 | 0.2948 | 0.2584 | 0.2289 | 0.2428 | 0.9292 |
| 0.141 | 2.0 | 214 | 0.2756 | 0.3003 | 0.2697 | 0.2842 | 0.9316 |
| 0.1022 | 3.0 | 321 | 0.2620 | 0.3571 | 0.3207 | 0.3379 | 0.9350 |
| 0.0834 | 4.0 | 428 | 0.2628 | 0.3961 | 0.3234 | 0.3561 | 0.9385 |
| 0.0753 | 5.0 | 535 | 0.2655 | 0.3972 | 0.3689 | 0.3825 | 0.9374 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025