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eclec
/
patentClassificationLongFormerTextrank

Text Classification
Transformers
PyTorch
longformer
Generated from Trainer
Model card Files
xet
 Community
eclec commited on
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  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  This model is a fine-tuned version of [eclec/patentClassificationLongFormer2](https://huggingface.co/eclec/patentClassificationLongFormer2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5171
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- - Accuracy: 0.78
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- - F1: 0.5756
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.493 | 1.0 | 625 | 0.5110 | 0.7644 | 0.5473 |
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- | 0.4656 | 2.0 | 1250 | 0.4724 | 0.7854 | 0.4819 |
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- | 0.3847 | 3.0 | 1875 | 0.5171 | 0.78 | 0.5756 |
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  ### Framework versions
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- - Transformers 4.31.0
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- - Pytorch 2.0.0
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- - Datasets 2.14.4
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [eclec/patentClassificationLongFormer2](https://huggingface.co/eclec/patentClassificationLongFormer2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4605
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+ - Accuracy: 0.7891
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+ - F1: 0.5698
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.484 | 1.0 | 2059 | 0.4607 | 0.7810 | 0.4952 |
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+ | 0.4358 | 2.0 | 4119 | 0.4476 | 0.7828 | 0.5851 |
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+ | 0.3661 | 3.0 | 6177 | 0.4605 | 0.7891 | 0.5698 |
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  ### Framework versions
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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