metadata
library_name: transformers
base_model: JuyeopDang/KoMiniLLaDA-0.3B-QA
tags:
- generated_from_trainer
model-index:
- name: KoMiniLLaDA-0.3B-QA
results: []
KoMiniLLaDA-0.3B-QA
This model is a fine-tuned version of JuyeopDang/KoMiniLLaDA-0.3B-QA on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0338
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0954 | 0.2298 | 5000 | 3.0173 |
| 3.059 | 0.4596 | 10000 | 3.0515 |
| 3.0471 | 0.6893 | 15000 | 2.9814 |
| 3.0143 | 0.9191 | 20000 | 2.9326 |
| 3.0074 | 1.1489 | 25000 | 3.0600 |
| 2.9786 | 1.3787 | 30000 | 2.8068 |
| 2.9969 | 1.6085 | 35000 | 2.8245 |
| 2.946 | 1.8382 | 40000 | 3.0338 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1