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# finetuning-sentiment-model-samples-final-2
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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: 0.3075
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- Accuracy: 0.88
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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# finetuning-sentiment-model-samples-final-2
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This model 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: 0.3075
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- Accuracy: 0.88
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## Model description
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This model uses distilbert to classify given text as positive or negative (particularly movie reviews).
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## Intended uses & limitations
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## Training and evaluation data
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