Update README.md

README.md

@@ -1,63 +1,24 @@
 ---
-library_name: transformers
 license: other
+license_name: mg0-2.0
+license_link: https://github.com/Xtra-Computing/ModelGo/blob/main/MG_licenses/V2/MG0-2.0.txt
+language:
+- en
+pipeline_tag: text-generation
 base_model: Qwen/Qwen2.5-1.5B-Instruct
 tags:
-- llama-factory
-- full
-- generated_from_trainer
-model-index:
-- name: Qwen2.5-1.5B-Instruct-all-new
-  results: []
+- chat
+library_name: transformers
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# Qwen2.5-1.5B-Instruct-all-new
-
-This model is a fine-tuned version of [/ssd1/models/Qwen2.5-1.5B-Instruct/](https://huggingface.co//ssd1/models/Qwen2.5-1.5B-Instruct/) on the papertrain dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5940
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- total_eval_batch_size: 4
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 2.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.48.3
-- Pytorch 2.5.1+cu124
-- Datasets 3.1.0
-- Tokenizers 0.21.0
+```
+@misc{chen2025xtragpt,
+      title={XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision}, 
+      author={Nuo Chen and Andre Lin HuiKai and Jiaying Wu and Junyi Hou and Zining Zhang and Qian Wang and Xidong Wang and Bingsheng He},
+      year={2025},
+      eprint={2505.11336},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2505.11336}, 
+}
+```