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orpo-llama-3b-iter-2-bird-planner

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orpo-llama-3b-iter-2-bird-planner-no-filter-seed106

This model is a fine-tuned version of ./output/reproduce/orpo-llama-3b-bird-planner-no-filter-seed100/ on the ../data/llm_alignment/bird-p2-planner-seed106/dpo-llama-3-end2end-bird_train_planner dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2745
  • Rewards/chosen: -0.1037
  • Rewards/rejected: -7.1776
  • Rewards/accuracies: 0.9400
  • Rewards/margins: 7.0738
  • Logps/rejected: -7.1776
  • Logps/chosen: -0.1037
  • Logits/rejected: -0.2937
  • Logits/chosen: -0.2329
  • Nll Loss: 0.1037
  • Log Odds Ratio: -0.1496
  • Log Odds Chosen: 9.0892

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: 8e-06
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • total_eval_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.2.2
  • Datasets 2.14.6
  • Tokenizers 0.20.3