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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

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Safetensors

Model size

70M params

Tensor type

F32

Inference Examples

Text Classification

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