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---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: jingyeom/freeze_KoSoLAR-10.7B-v0.2_1.4_dedup
model-index:
- name: lora_freeze_KoSoLAR-10.7B-v0.2_1.4_dedup_SFT-DPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# lora_freeze_KoSoLAR-10.7B-v0.2_1.4_dedup_SFT-DPO
This model is a fine-tuned version of [jingyeom/freeze_KoSoLAR-10.7B-v0.2_1.4_dedup](https://huggingface.co/jingyeom/freeze_KoSoLAR-10.7B-v0.2_1.4_dedup) 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 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |