End of training

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: transformers
-base_model: maple-research-lab/LLaDOU-v0-Math
+license: mit
+base_model: GSAI-ML/LLaDA-8B-Instruct
 tags:
 - generated_from_trainer
 model-index:
@@ -13,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # LLaDA-planner_balanced
 
-This model is a fine-tuned version of [maple-research-lab/LLaDOU-v0-Math](https://huggingface.co/maple-research-lab/LLaDOU-v0-Math) on an unknown dataset.
+This model is a fine-tuned version of [GSAI-ML/LLaDA-8B-Instruct](https://huggingface.co/GSAI-ML/LLaDA-8B-Instruct) on an unknown dataset.
 
 ## Model description
 
@@ -32,14 +33,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine_warmup_with_min_lr
-- training_steps: 22000
+- training_steps: 100000
 
 ### Training results
 
@@ -49,5 +50,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.56.1
 - Pytorch 2.8.0+cu128
-- Datasets 4.0.0
+- Datasets 4.4.1
 - Tokenizers 0.22.0