Add pipeline tag and library name (#1)

- Add pipeline tag and library name (f1aff8cc1b07be74f53949a9d12db6253a818acf)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -9,6 +9,8 @@ datasets:
 - codingsteven/Llama-3-8B-chat
 language:
 - zh
+metrics:
+- accuracy
 base_model:
 - meta-llama/Llama-3.1-8B
 model-index:
@@ -66,13 +68,15 @@ model-index:
       value: 0.4425833189431877
       stderr: 0.004506238417180843
       verified: false
-
+pipeline_tag: text-generation
+library_name: transformers
 ---
+
 # Control-LLM-Llama3.1-8B-SynE-Full-Parameter-Tuning
 This is a fine-tuned model of Llama-3.1-8B for muliligual-Chinese tasks on SynE dataset.
 
 ## Linked Paper
-This model is associated with the paper: [Control-LLM](https://arxiv.org/abs/2501.10979).
+This model is associated with the paper: [Control LLM: Controlled Evolution for Intelligence Retention in LLM](https://huggingface.co/papers/2501.10979).
 
 ## Linked Open Source code - training, eval and benchmark
 This model is associated with the github: [Control-LLM](https://github.com/linkedin/ControlLLM).
@@ -111,4 +115,4 @@ The table below summarizes evaluation results across Chinese tasks and original
 ### Full Parameter Tuning on Chinese-SynE
 The following plot illustrates the Catastrophic Forgetting of full parameter tuning in terms of hidden states alignment drift.
 
-![Catastrophic Forgetting](plots/alignment_worst.png)
+![Catastrophic Forgetting](plots/alignment_worst.png)