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ner-2-roberta-base
lltala/ner-2-roberta-base
ner-2-roberta-base is a token classification model from lltala. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 24, 2023
- Updated
- Oct 25, 2023
- SHA
- b2e0d489
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Base models
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. -->
ner-2-roberta-base
This model is a fine-tuned version of roberta-base on the lltala/e-ner-roberta-base dataset. It achieves the following results on the evaluation set:
- Loss: 0.0798
- Loc Precision: 0.625
- Loc Recall: 0.7216
- Loc F1: 0.6699
- Loc Number: 97
- Org Precision: 0.8401
- Org Recall: 0.6716
- Org F1: 0.7465
- Org Number: 673
- Per Precision: 0.9425
- Per Recall: 0.9762
- Per F1: 0.9591
- Per Number: 84
- Overall Precision: 0.8195
- Overall Recall: 0.7073
- Overall F1: 0.7593
- Overall Accuracy: 0.9854
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: 5e-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: 3.0
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 24, 2023
- Updated
- Oct 25, 2023