Update model card: Refine pipeline tag, license, and add project page (#1)

- Update model card: Refine pipeline tag, license, and add project page (b56f665c303cdf321d0473cd96e65e0b7537b16c)


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

README.md

@@ -1,18 +1,20 @@
 ---
-license: apache-2.0
-tags:
-- language-modeling
-- causal-lm
-- bias-analysis
-- cognitive-bias
+base_model:
+- google/t5-v1_1-xxl
 datasets:
 - allenai/tulu-v2-sft-mixture
 language:
 - en
-base_model:
-- google/t5-v1_1-xxl
-pipeline_tag: text2text-generation
 library_name: transformers
+license: mit
+pipeline_tag: text-generation
+tags:
+- language-modeling
+- causal-lm
+- bias-analysis
+- cognitive-bias
+metrics:
+- accuracy
 ---
 
 # Model Card for T5-Tulu
@@ -23,13 +25,14 @@ library_name: transformers
 This 🤗 Transformers model was finetuned using LoRA adapters for the arXiv paper:  
 **"Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs"**  
 We study whether cognitive biases in LLMs emerge from pretraining, instruction tuning, or training randomness.
-This is one of 3 idnetical versions trained with different random seeds.
+This is one of 3 identical versions trained with different random seeds.
 
 - **Model type**: encoder-decoder based transformer
 - **Language(s)**: English
-- **License**: Apache 2.0
+- **License**: MIT
 - **Finetuned from**: `google/t5-v1_1-xxl`
 - **Paper**: https://arxiv.org/abs/2507.07186
+- **Project Page**: https://itay1itzhak.github.io/planted-in-pretraining
 - **Repository**: https://github.com/itay1itzhak/planted-in-pretraining
 
 ## Uses