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README.md
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- text: "Our waste reduction initiatives aim to minimize environmental impact."
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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_ESG
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2591
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- F1: 0.6296
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- Roc Auc: 0.7569
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- Accuracy: 0.3824
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## Model description
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This repository contains a fine-tuned DistilBERT model using the [esg-sentiment dataset](https://huggingface.co/datasets/TrajanovRisto/esg-sentiment). DistilBERT, a distilled version of BERT, is a powerful transformer-based model for natural language processing tasks. The model has been fine-tuned on the ESG (Environmental, Social, and Governance) sentiment dataset, allowing it to capture nuanced sentiments related to sustainability and corporate responsibility.
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## Model description
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This repository contains a fine-tuned DistilBERT model using the [esg-sentiment dataset](https://huggingface.co/datasets/TrajanovRisto/esg-sentiment). DistilBERT, a distilled version of BERT, is a powerful transformer-based model for natural language processing tasks. The model has been fine-tuned on the ESG (Environmental, Social, and Governance) sentiment dataset, allowing it to capture nuanced sentiments related to sustainability and corporate responsibility.
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