Korean LLM
Collection
Open source LLMs for korean
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12 items
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Updated
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1
ver_4.1_sft
This model is a fine-tuned version of yanolja/EEVE-Korean-10.8B-v1.0 on the Custom dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 0
Training results
| Training Loss | Epoch | Step |
|---|---|---|
| 0.7739 | 0.2 | 1124 |
| 0.7214 | 0.4 | 2248 |
| 0.6832 | 0.6 | 3372 |
| 0.6935 | 0.8 | 4496 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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