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bert-finetuned-ner_swedish_test_large_set
Nonzerophilip/bert-finetuned-ner_swedish_test_large_set
bert-finetuned-ner_swedish_test_large_set is a token classification model from Nonzerophilip. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 17, 2022
- Updated
- Jun 18, 2022
- SHA
- da1a65e5
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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. -->
bert-finetuned-ner_swedish_test_large_set
This model is a fine-tuned version of KBLab/bert-base-swedish-cased-ner on the suc3 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0265
- eval_precision: 0.8542
- eval_recall: 0.8468
- eval_f1: 0.8505
- eval_accuracy: 0.9919
- eval_runtime: 1076.8307
- eval_samples_per_second: 10.685
- eval_steps_per_second: 1.336
- epoch: 1.0
- step: 5754
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.19.3
- Pytorch 1.7.1
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 17, 2022
- Updated
- Jun 18, 2022