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# lora_KoSoLAR-10.7B-v0.2_1.4_dedup_1_SFT-DPO

This model is a fine-tuned version of [jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1](https://huggingface.co/jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1) 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- total_eval_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1", "model-index": [{"name": "lora_KoSoLAR-10.7B-v0.2_1.4_dedup_1_SFT-DPO", "results": []}]}
peft safetensors trl dpo generated_from_trainer base_model:jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1 license:apache-2.0 region:us