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KoMiniLLaDA-0.3B-QA
JuyeopDang/KoMiniLLaDA-0.3B-QA
KoMiniLLaDA-0.3B-QA is a feature extraction model from JuyeopDang. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- mini-llada
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025
- SHA
- 5a75d43f
Model card
From the Hugging Face model README
<!-- 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. -->
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
- Task
- Feature Extraction
- Library
- transformers
- Type
- mini-llada
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025