---
library_name: transformers
license: mit
base_model: GSAI-ML/LLaDA-8B-Instruct
tags:
- generated_from_trainer
model-index:
- name: LLaDA-planner_balanced
  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. -->

# LLaDA-planner_balanced

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

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: 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: 100000

### Training results



### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.0