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distilbert-NER-finetuned-ner
deepaksiloka/distilbert-NER-finetuned-ner
distilbert-NER-finetuned-ner is a token classification model from deepaksiloka. 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
- Oct 3, 2024
- Updated
- Oct 3, 2024
- SHA
- 0f7f8158
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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. -->
distilbert-NER-finetuned-ner
This model is a fine-tuned version of dslim/distilbert-NER on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0111
- Precision: 0.8892
- Recall: 0.9189
- F1: 0.9038
- Accuracy: 0.9968
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 270 | 0.0155 | 0.8292 | 0.8918 | 0.8594 | 0.9952 |
| 0.0286 | 2.0 | 540 | 0.0121 | 0.8695 | 0.9198 | 0.8939 | 0.9965 |
| 0.0286 | 3.0 | 810 | 0.0111 | 0.8892 | 0.9189 | 0.9038 | 0.9968 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 3, 2024
- Updated
- Oct 3, 2024