KoMiniLLaDA-0.3B-Base

This model is a fine-tuned version of on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 4.5190

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 2000
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
71.0014	0.8514	10000	4.5190

Framework versions

• Transformers 4.57.3
• Pytorch 2.4.1+cu121
• Datasets 4.4.2
• Tokenizers 0.22.1