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distilbert-base-uncased-finetuned-ner
mssjoyy/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from mssjoyy. 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
- Apr 19, 2023
- Updated
- Apr 19, 2023
- SHA
- 4f8189a1
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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. -->
distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of mssjoyy/distilbert-base-uncased-finetuned-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1753
- Precision: 0.6570
- Recall: 0.6506
- F1: 0.6538
- Accuracy: 0.9676
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 176 | 0.1542 | 0.6349 | 0.6335 | 0.6342 | 0.9669 |
| No log | 2.0 | 352 | 0.1714 | 0.6423 | 0.6004 | 0.6207 | 0.9664 |
| 0.0172 | 3.0 | 528 | 0.1689 | 0.6516 | 0.6154 | 0.6330 | 0.9677 |
| 0.0172 | 4.0 | 704 | 0.1728 | 0.6501 | 0.6410 | 0.6455 | 0.9678 |
| 0.0172 | 5.0 | 880 | 0.1753 | 0.6570 | 0.6506 | 0.6538 | 0.9676 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 19, 2023
- Updated
- Apr 19, 2023