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README.md
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- accuracy
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- f1
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model-index:
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- name: financial-twhin-bert-large-3labels-
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results: []
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---
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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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# financial-twhin-bert-large-3labels-
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4379
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- Accuracy: 0.8847
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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- accuracy
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- f1
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model-index:
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- name: financial-twhin-bert-large-3labels-pesudo-bb-only
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results: []
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datasets:
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- kekunh/stock-related-tweets
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- zeroshot/twitter-financial-news-sentiment
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language:
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- en
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---
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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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# financial-twhin-bert-large-3labels-pesudo-bb-only
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on finance-related tweets.
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It achieves the following results on the evaluation set:
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- Loss: 0.4379
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- Accuracy: 0.8847
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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