Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 tags:
 - fusion-bench
 base_model: meta-llama/Llama-3.2-1B-Instruct
-pipeline_tag: text-generation
+pipeline_tag: text-classification
 library_name: transformers
 datasets:
 - hendrydong/preference_700K
@@ -37,4 +37,4 @@ fusion_bench --config-name llama_full_finetune \
   modelpool=SeqenceClassificationModelPool/llama_preference700k
 ```
 
-8 GPUs, per-GPU batch size is 8, with gradient accumulation of 16 steps, so the effective batch size is 1024.
+8 GPUs, per-GPU batch size is 8, with gradient accumulation of 16 steps, so the effective batch size is 1024.