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README.md
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- ckandemir/bitcoin_tweets_sentiment_kaggle
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metrics:
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- name: F1
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type: f1
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value: 0.7212944928862212
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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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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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- sentiment_analysis
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datasets:
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- ckandemir/bitcoin_tweets_sentiment_kaggle
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metrics:
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- name: F1
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type: f1
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value: 0.7212944928862212
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widget:
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- text: Sold all btc, tethered up before the correction.
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labels:
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- Negative
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- Positive
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- Neutral
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language:
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- en
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pipeline_tag: text-classification
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library_name: transformers
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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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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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