---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: KoMiniLLaDA-0.3B-Base
  results: []
---

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# KoMiniLLaDA-0.3B-Base

This model is a fine-tuned version of [](https://huggingface.co/) 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