llama_singleGPU-couple-v1

This model is a fine-tuned version of beomi/Llama-3-Open-Ko-8B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.4283

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: 5e-08
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Use paged_adamw_8bit with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
6.0122 0.3828 50 6.4281
6.4262 0.7656 100 6.4283

Framework versions

  • PEFT 0.13.3.dev0
  • Transformers 4.47.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3
Downloads last month
3
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for junn991/llama_singleGPU-couple-v1

Adapter
(19)
this model