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distil_bert_PHO_NER
lamnmh05/distil_bert_PHO_NER
distil_bert_PHO_NER is a token classification model from lamnmh05. 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
- Dec 18, 2025
- Updated
- Dec 18, 2025
- SHA
- 35686bce
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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. -->
distil_bert_PHO_NER
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2171
- Precision: 0.7373
- Recall: 0.8014
- F1: 0.7680
- Accuracy: 0.9400
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 OptimizerNames.ADAMW_TORCH_FUSED 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 | Accuracy | F1 | Validation Loss | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 158 | 0.8781 | 0.5510 | 0.4147 | 0.5370 | 0.5657 |
| No log | 2.0 | 316 | 0.9105 | 0.6602 | 0.3200 | 0.6365 | 0.6857 |
| No log | 3.0 | 474 | 0.2483 | 0.7126 | 0.7733 | 0.7417 | 0.9295 |
| 0.2173 | 4.0 | 632 | 0.2245 | 0.7278 | 0.7978 | 0.7612 | 0.9368 |
| 0.2173 | 5.0 | 790 | 0.2171 | 0.7373 | 0.8014 | 0.7680 | 0.9400 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 18, 2025
- Updated
- Dec 18, 2025