---
license: apache-2.0
base_model: yanolja/KoSOLAR-10.7B-v0.2
tags:
- generated_from_trainer
model-index:
- name: lion-32bit_FA2_neftune_5_leaderboard_inst_v1.3_dedup_KoSOLAR-10.7B-v0.2_L1024
  results: []
---

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# lion-32bit_FA2_neftune_5_leaderboard_inst_v1.3_dedup_KoSOLAR-10.7B-v0.2_L1024

This model is a fine-tuned version of [yanolja/KoSOLAR-10.7B-v0.2](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.2) 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 16
- total_train_batch_size: 192
- 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

- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0