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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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#
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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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## Intended uses & limitations
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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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# 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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