---
library_name: transformers
base_model: maple-research-lab/LLaDOU-v0-Math
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 [maple-research-lab/LLaDOU-v0-Math](https://huggingface.co/maple-research-lab/LLaDOU-v0-Math) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0

## 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-06
- 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 results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0062        | 0.0020 | 1000  | 0.0             |
| 0.0027        | 0.0039 | 2000  | 0.0             |
| 0.0045        | 0.0059 | 3000  | 0.0             |
| 0.0044        | 0.0078 | 4000  | 0.0             |
| 0.0031        | 0.0098 | 5000  | 0.0             |
| 0.004         | 0.0117 | 6000  | 0.0             |
| 0.0032        | 0.0137 | 7000  | 0.0             |
| 0.0043        | 0.0157 | 8000  | 0.0             |
| 0.0042        | 0.0176 | 9000  | 0.0             |
| 0.0035        | 0.0196 | 10000 | 0.0             |
| 0.0043        | 0.0215 | 11000 | 0.0             |
| 0.0032        | 0.0235 | 12000 | 0.0             |
| 0.0037        | 0.0254 | 13000 | 0.0             |
| 0.0034        | 0.0274 | 14000 | 0.0             |
| 0.0033        | 0.0293 | 15000 | 0.0             |
| 0.0044        | 0.0313 | 16000 | 0.0             |
| 0.0011        | 0.0333 | 17000 | 0.0             |
| 0.0006        | 0.0352 | 18000 | 0.0             |
| 0.0015        | 0.0372 | 19000 | 0.0             |
| 0.0018        | 0.0391 | 20000 | 0.0             |
| 0.0105        | 0.0411 | 21000 | 0.0             |
| 0.0082        | 0.0430 | 22000 | 0.0             |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1