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color_extraction_2023_02_09_v2-finetuned-ner
plpkpjph/color_extraction_2023_02_09_v2-finetuned-ner
color_extraction_2023_02_09_v2-finetuned-ner is a token classification model from plpkpjph. 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
- distilbert
- Access
- Public
- Created
- Feb 9, 2023
- Updated
- Feb 10, 2023
- SHA
- f4b5e1c3
Try a prompt
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. -->
color_extraction_2023_02_09_v2-finetuned-ner
This model is a fine-tuned version of distilbert-base-german-cased on the None dataset.
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: 16
- eval_batch_size: 16
- 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 4.26.0
- Pytorch 1.12.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 9, 2023
- Updated
- Feb 10, 2023