metadata

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: []

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 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