metadata
library_name: transformers
license: mit
base_model: GSAI-ML/LLaDA-8B-Instruct
tags:
- generated_from_trainer
model-index:
- name: LLaDA-planner_balanced
results: []
LLaDA-planner_balanced
This model is a fine-tuned version of 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