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@@ -25,13 +25,13 @@ pipeline_tag: text-classification
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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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  should probably proofread and complete it, then remove this comment. -->
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- # train_2024-12-03-21-04-03
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- This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the ag_news_train_num dataset.
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  ## Model description
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- This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the ag_news_train_num dataset. The model is a transformer-based model that was trained on a large corpus of text data and fine-tuned on the ag_news_train_num dataset. The model is capable of performing text classification tasks and can be used to classify text into one of four categories: World, Sports, Business, and Sci/Tech.
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  ## Intended uses & limitations
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # LLaMA-3.1-8B-AGNews-SFT
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+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the ag_news dataset.
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  ## Model description
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+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the ag_news dataset. The model is a transformer-based model that was trained on a large corpus of text data and fine-tuned on the ag_news_train_num dataset. The model is capable of performing text classification tasks and can be used to classify text into one of four categories: World, Sports, Business, and Sci/Tech.
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  ## Intended uses & limitations
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