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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
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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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## 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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