uf-l31-orpo-base-armo-iter1

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the ORPO/uf-l31-base-iter0-armo 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: 2e-06
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.2.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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