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# baby-python-mistral-1L-tiny-TinyStories-ft
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This model is a fine-tuned version of [nilq/baby-python-mistral-1L-tiny-base](https://huggingface.co/nilq/baby-python-mistral-1L-tiny-base) on the roneneldan/TinyStories dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0442
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- Accuracy: 0.5196
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# baby-python-mistral-1L-tiny-TinyStories-ft
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This model is a fine-tuned version of [nilq/baby-python-mistral-1L-tiny-base](https://huggingface.co/nilq/baby-python-mistral-1L-tiny-base) on the roneneldan/TinyStories dataset. This is the TinyStories model in the paper [Tracking Universal Features Through Fine-Tuning and Model Merging](https://arxiv.org/abs/2410.12391).
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It achieves the following results on the evaluation set:
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- Loss: 2.0442
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- Accuracy: 0.5196
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