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distilbert-base-uncased_NER_VISBank
Yamei/distilbert-base-uncased_NER_VISBank
distilbert-base-uncased_NER_VISBank is a token classification model from Yamei. 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 23, 2023
- Updated
- Feb 24, 2023
- SHA
- b68e296b
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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-v10-ES-ner
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: 0.3587
- Precision: 0.6550
- Recall: 0.6983
- F1: 0.676
- Accuracy: 0.9157
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4206 | 1.75 | 500 | 0.2869 | 0.6137 | 0.6467 | 0.6298 | 0.9116 |
| 0.2046 | 3.5 | 1000 | 0.2847 | 0.6412 | 0.6756 | 0.6579 | 0.9114 |
| 0.1363 | 5.24 | 1500 | 0.3084 | 0.6774 | 0.6942 | 0.6857 | 0.9159 |
| 0.0918 | 6.99 | 2000 | 0.3365 | 0.6509 | 0.6818 | 0.6660 | 0.9132 |
| 0.0633 | 8.74 | 2500 | 0.3587 | 0.6550 | 0.6983 | 0.676 | 0.9157 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 23, 2023
- Updated
- Feb 24, 2023