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  # distilbert-base-uncased-lora-text-classification
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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: 1.7208
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  - Accuracy: {'accuracy': 0.876}
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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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  # distilbert-base-uncased-lora-text-classification
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a truncated IMDB dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.7208
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  - Accuracy: {'accuracy': 0.876}
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  ## Model description
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+ The purpose of this model is to turn distilbert into a sentiment classification model.
 
 
 
 
 
 
 
 
 
 
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  ### Training hyperparameters
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