llama3-sudo-dpo-3epochs-medical-1e-5

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B 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: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.1.2
  • Datasets 3.0.0
  • Tokenizers 0.19.1
Downloads last month
3
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for QinLiuNLP/llama3-sudo-dpo-3epochs-medical-1e-5

Adapter
(532)
this model