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SOLAR-10.7B-ko_alpaca

PEFT
Safetensors
PyTorch
llama
llama-factory
lora
Generated from Trainer
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SOLAR-10.7B-ko_alpaca / README.md
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
model-index:
  - name: solar_model
    results: []

solar_model

This model is a fine-tuned version of upstage/SOLAR-10.7B-Instruct-v1.0 on the ko_alpaca_style_dataset 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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.37.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.1