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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # distilbert-base-uncased-finetuned-greenplastics-3
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-
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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- ## Model description
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- More information needed
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-
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- ## Intended uses & limitations
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- More information needed
 
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- ## Training and evaluation data
 
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- More information needed
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  ## Training procedure
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Classification of patent abstracts - "green plastics" or "no green plastics"
 
 
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+ This model classifies patents into "green plastics" or "no green plastics" by their abstracts.
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+ # distilbert-base-uncased-finetuned-greenplastics-3
 
 
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [green plastics dataset](https://huggingface.co/datasets/cwinkler/patents_green_plastics). The green patent dataset was split into 70 % training data and 30 % test data (using ".train_test_split(test_size=0.3)").
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+ The model achieves the following results on the evaluation set:
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+ - Accuracy: 0.8574
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+ - F1: 0.8573
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  ## Training procedure
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