Add pipeline tag and library name
Browse filesThis PR ensures the model can be found at https://huggingface.co/models?pipeline_tag=text-generation as well as adds the library_name.
It also links to the paper page.
README.md
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@@ -9,6 +9,8 @@ datasets:
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- codingsteven/Llama-3-8B-chat
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language:
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- zh
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base_model:
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- meta-llama/Llama-3.1-8B
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model-index:
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@@ -66,13 +68,15 @@ model-index:
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value: 0.4425833189431877
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stderr: 0.004506238417180843
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verified: false
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-
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---
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# Control-LLM-Llama3.1-8B-SynE-Full-Parameter-Tuning
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This is a fine-tuned model of Llama-3.1-8B for muliligual-Chinese tasks on SynE dataset.
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## Linked Paper
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This model is associated with the paper: [Control
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## Evaluation Results
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Here is an overview of the evaluation results and findings:
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@@ -108,4 +112,4 @@ The table below summarizes evaluation results across Chinese tasks and original
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### Full Parameter Tuning on Chinese-SynE
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The following plot illustrates the Catastrophic Forgetting of full parameter tuning in terms of hidden states alignment drift.
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- codingsteven/Llama-3-8B-chat
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language:
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- zh
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metrics:
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- accuracy
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base_model:
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- meta-llama/Llama-3.1-8B
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model-index:
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value: 0.4425833189431877
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stderr: 0.004506238417180843
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verified: false
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pipeline_tag: text-generation
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library_name: transformers
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---
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# Control-LLM-Llama3.1-8B-SynE-Full-Parameter-Tuning
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This is a fine-tuned model of Llama-3.1-8B for muliligual-Chinese tasks on SynE dataset.
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## Linked Paper
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This model is associated with the paper: [Control LLM: Controlled Evolution for Intelligence Retention in LLM](https://huggingface.co/papers/2501.10979).
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## Evaluation Results
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Here is an overview of the evaluation results and findings:
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### Full Parameter Tuning on Chinese-SynE
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The following plot illustrates the Catastrophic Forgetting of full parameter tuning in terms of hidden states alignment drift.
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