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README.md
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# Siena Sentiment Analysis Model
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This model is a fine-tuned version of `distilbert-base-uncased` for sentiment analysis on customer support tickets, capable of classifying text into five sentiment categories.
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print(f"Predicted sentiment: {id2label[predicted_label]}")
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```
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---
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language: en
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tags:
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- text-classification
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- sentiment-analysis
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- customer-support
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- distilbert
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license: mit
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datasets:
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- synthetic
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metrics:
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- accuracy
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model-index:
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- name: siena-sentiment
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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type: synthetic
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name: Customer Support Tickets
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metrics:
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- type: accuracy
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value: 0.95
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---
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# Siena Sentiment Analysis Model
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This model is a fine-tuned version of `distilbert-base-uncased` for sentiment analysis on customer support tickets, capable of classifying text into five sentiment categories.
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print(f"Predicted sentiment: {id2label[predicted_label]}")
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```
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