Update README.md

README.md

@@ -1,36 +1,22 @@
 ---
 library_name: transformers
-license: other
-base_model: davidanugraha/Qwen3-4B-Concise-SimPO-StrategyB-Stage1
+license: cc-by-4.0
+base_model: Qwen3-4B-Concise-SimPO-StrategyB-Stage1
 tags:
 - llama-factory
 - full
 - generated_from_trainer
 model-index:
-- name: concise_phase2_short_qwen3_4b_config1_new
+- name: Qwen3-4B-Concise-SimPO-StrategyB-Stage2
   results: []
 ---
 
 <!-- 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. -->
 
-# concise_phase2_short_qwen3_4b_config1_new
+# Qwen3-4B-Concise-SimPO-StrategyB-Stage1
 
-This model is a fine-tuned version of [davidanugraha/Qwen3-4B-Concise-SimPO-StrategyB-Stage1](https://huggingface.co/davidanugraha/Qwen3-4B-Concise-SimPO-StrategyB-Stage1) on the dpo_concise_phase2_short dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+This model is a fine-tuned version of [davidanugraha/Qwen3-4B-Concise-SimPO-StrategyB-Stage1](https://huggingface.co/davidanugraha/Qwen3-4B-Concise-SimPO-StrategyB-Stage1), in which the base model is Qwen/Qwen3-4B.
 
 ### Training hyperparameters
 
@@ -47,15 +33,4 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 2.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.52.4
-- Pytorch 2.7.1
-- Datasets 3.6.0
-- Tokenizers 0.21.1
+- num_epochs: 2.0