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Update README.md
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README.md
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model-index:
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- name: fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v2.0) on
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It achieves the following results on the evaluation set:
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- Loss: 0.9473
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- Accuracy: 0.7123
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model-index:
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- name: fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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results: []
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datasets:
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- allenai/ai2_arc
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v2.0) on ARC-Easy dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9473
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- Accuracy: 0.7123
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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