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RISE_NER_REDUCED
mappelgren/RISE_NER_REDUCED
RISE_NER_REDUCED is a token classification model from mappelgren. 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 12, 2023
- Updated
- Dec 13, 2023
- SHA
- 4e02091d
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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. -->
RISE_NER_REDUCED
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0306
- Precision: 0.9401
- Recall: 0.9447
- F1: 0.9424
- Accuracy: 0.9920
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0151 | 1.0 | 16410 | 0.0261 | 0.9417 | 0.9350 | 0.9383 | 0.9916 |
| 0.0074 | 2.0 | 32820 | 0.0306 | 0.9401 | 0.9447 | 0.9424 | 0.9920 |
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
- Dec 12, 2023
- Updated
- Dec 13, 2023