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ner-named-entity-recgnition
Mohamedfasil/ner-named-entity-recgnition
ner-named-entity-recgnition is a token classification model from Mohamedfasil. 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
- Nov 25, 2023
- Updated
- Nov 27, 2023
- SHA
- 0f754d67
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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. -->
ner-named-entity-recgnition
This model is a fine-tuned version of Mohamedfasil/ner-named-entity-recgnition on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1820
- Precision: 0.6471
- Recall: 0.7333
- F1: 0.6875
- Accuracy: 0.9538
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 14 | 0.1878 | 0.8 | 0.8 | 0.8000 | 0.9580 |
| No log | 2.0 | 28 | 0.2254 | 0.8571 | 0.8 | 0.8276 | 0.9706 |
| No log | 3.0 | 42 | 0.2056 | 0.6667 | 0.6667 | 0.6667 | 0.9118 |
| No log | 4.0 | 56 | 0.1877 | 0.5556 | 0.6667 | 0.6061 | 0.9370 |
| No log | 5.0 | 70 | 0.1820 | 0.6471 | 0.7333 | 0.6875 | 0.9538 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 25, 2023
- Updated
- Nov 27, 2023