metadata
library_name: transformers
base_model: maple-research-lab/LLaDOU-v0-Math
tags:
- generated_from_trainer
model-index:
- name: LLaDA-planner_balanced
results: []
LLaDA-planner_balanced
This model is a fine-tuned version of 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