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bert-finetuned-ner-word-embedding
lsoni/bert-finetuned-ner-word-embedding
bert-finetuned-ner-word-embedding is a token classification model from lsoni. 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
- bert
- Access
- Public
- Created
- Aug 31, 2023
- Updated
- Sep 1, 2023
- SHA
- 2b89c83b
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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-word-embedding
This model is a fine-tuned version of bert-base-cased on the combined training dataset(tweetner7(train_2021)+augmented dataset(train_2021) using word embedding technique). It achieves the following results on the evaluation set:
- Loss: 0.5502
- Precision: 0.6522
- Recall: 0.4973
- F1: 0.5643
- Accuracy: 0.8615
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.7144 | 1.0 | 624 | 0.5837 | 0.7042 | 0.4422 | 0.5433 | 0.8601 |
| 0.5257 | 2.0 | 1248 | 0.5522 | 0.6575 | 0.4803 | 0.5551 | 0.8610 |
| 0.4564 | 3.0 | 1872 | 0.5502 | 0.6522 | 0.4973 | 0.5643 | 0.8615 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 31, 2023
- Updated
- Sep 1, 2023