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PlanTL-GOB-ES-roberta-base-bne-ner
samuelalvarez034/PlanTL-GOB-ES-roberta-base-bne-ner
PlanTL-GOB-ES-roberta-base-bne-ner is a token classification model from samuelalvarez034. 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
- roberta
- Access
- Public
- Created
- May 8, 2025
- Updated
- May 8, 2025
- SHA
- 7df30092
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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. -->
PlanTL-GOB-ES-roberta-base-bne-ner
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0827
- Precision: 0.8648
- Recall: 0.8696
- F1: 0.8672
- Accuracy: 0.9795
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.4.1+cpu
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- May 8, 2025
- Updated
- May 8, 2025