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unspsc-base
woland2k/unspsc-base
unspsc-base is a text classification model from woland2k. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
It achieves the following results on the evaluation set: - Loss: 1.6502 - Accuracy: 0.8907
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 15, 2024
- SHA
- a8e19e62
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Model card
From the Hugging Face model README
results
It achieves the following results on the evaluation set:
- Loss: 1.6502
- Accuracy: 0.8907
Model description
This model predicts UNSPSC code based on the product name.
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 13, 2024
- Updated
- Jun 15, 2024