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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: KoMiniLLaDA-0.3B-Base |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# KoMiniLLaDA-0.3B-Base |
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This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5190 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 71.0014 | 0.8514 | 10000 | 4.5190 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 4.4.2 |
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- Tokenizers 0.22.1 |
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