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roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
jaggernaut007/roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
roberta-large-finetuned-abbr-filtered-plod-finetuned-ner is a token classification model from jaggernaut007. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 8, 2024
- Updated
- Apr 14, 2024
- SHA
- 5bb9b66f
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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. -->
roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr-filtered-plod on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4541
- Precision: 0.8911
- Recall: 0.8907
- F1: 0.8909
- Accuracy: 0.8851
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: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-sa-4.0
- Created
- Apr 8, 2024
- Updated
- Apr 14, 2024