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README.md
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- name: F1
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type: f1
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value: 0.8684210526315789
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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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# uit-cs221-sentiment-analysis
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It achieves the following results on the evaluation set:
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- Loss: 0.3057
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- Accuracy: 0.8667
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- F1: 0.8684
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## Model description
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More information needed
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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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### Training hyperparameters
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### Training results
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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- name: F1
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type: f1
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value: 0.8684210526315789
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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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# uit-cs221-sentiment-analysis
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## Model description
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This model is used for sentiment analysis. It is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3057
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- Accuracy: 0.8667
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- F1: 0.8684
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## Training procedure
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### Training hyperparameters
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### Training results
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- Loss: 0.3057
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- Accuracy: 0.8667
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- F1: 0.8684
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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