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distilbert-finetuned-mit-restaurant-ner
naufalso/distilbert-finetuned-mit-restaurant-ner
distilbert-finetuned-mit-restaurant-ner is a token classification model from naufalso. 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
- Feb 16, 2023
- Updated
- Feb 16, 2023
- SHA
- 058f47de
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Datasets
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-finetuned-mit-restaurant-ner
This model is a fine-tuned version of distilbert-base-uncased on the mit_restaurant dataset. It achieves the following results on the evaluation set:
- Loss: 0.3210
- Precision: 0.7768
- Recall: 0.7983
- F1: 0.7874
- Accuracy: 0.9116
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 0.6991 | 1.0 | 863 | 0.3478 | 0.7113 | 0.7684 | 0.7387 | 0.8994 |
| 0.2773 | 2.0 | 1726 | 0.3264 | 0.7533 | 0.7989 | 0.7754 | 0.9063 |
| 0.2164 | 3.0 | 2589 | 0.3137 | 0.7644 | 0.8045 | 0.7839 | 0.9121 |
| 0.1789 | 4.0 | 3452 | 0.3163 | 0.7755 | 0.7983 | 0.7867 | 0.9115 |
| 0.1573 | 5.0 | 4315 | 0.3210 | 0.7768 | 0.7983 | 0.7874 | 0.9116 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 16, 2023
- Updated
- Feb 16, 2023