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BETO-finetuned-ner-2
JessicaPimentel02/BETO-finetuned-ner-2
BETO-finetuned-ner-2 is a token classification model from JessicaPimentel02. Use it when you need labels on individual words, such as names. It is set up for transformers.
- accuracy: 0.98200 - f1: 0.86952 - recall: 0.87917 - precision: 0.86008
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.safetensors437 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 6, 2024
- SHA
- da1afe41
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Model card
From the Hugging Face model README
-
accuracy: 0.98200
- f1: 0.86952
- recall: 0.87917
- precision: 0.86008
per_device_train_batch_size=20, per_device_eval_batch_size=20, num_train_epochs=30, weight_decay=0.01, max_grad_norm=1.0, adam_epsilon=1e-8,
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 5, 2024
- Updated
- Jun 6, 2024