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gemma-7b-dpo-full-orca-v0

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metadata
license: other
base_model: lewtun/gemma-7b-sft-full-ultrachat-v0
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - HuggingFaceH4/orca_dpo_pairs
model-index:
  - name: gemma-7b-dpo-full-orca-v0
    results: []

gemma-7b-dpo-full-orca-v0

This model is a fine-tuned version of lewtun/gemma-7b-sft-full-ultrachat-v0 on the HuggingFaceH4/orca_dpo_pairs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0131
  • Rewards/chosen: 4.5525
  • Rewards/rejected: -7.7149
  • Rewards/accuracies: 0.9922
  • Rewards/margins: 12.2674
  • Logps/rejected: -860.7157
  • Logps/chosen: -725.1588
  • Logits/rejected: 141.1811
  • Logits/chosen: 94.1054

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-07
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • 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: 1

Training results

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.1