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bambaram/finetuned_llama_2_ko
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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: beomi/llama-2-ko-7b
model-index:
- name: llama-ko-4-journal-finetue
results: []
---
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# llama-ko-4-journal-finetue
This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co./beomi/llama-2-ko-7b) on an unknown dataset.
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
### Training results
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2