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metadata
license: apache-2.0
library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - EllieS/pubmedqa_dpo_selfgen_complete_data
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
  - name: zephyr-7b-dpo-lora-pubmedqa-selfgen-complete
    results: []

zephyr-7b-dpo-lora-pubmedqa-selfgen-complete

This model is a fine-tuned version of EllieS/zephyr-7b-sft-qlora on the EllieS/pubmedqa_dpo_selfgen_complete_data dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000
  • Rewards/chosen: 0.1952
  • Rewards/rejected: -11.1838
  • Rewards/accuracies: 1.0
  • Rewards/margins: 11.3790
  • Logps/rejected: -1156.6167
  • Logps/chosen: -39.8472
  • Logits/rejected: -2.9309
  • Logits/chosen: -2.9452

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-06
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • total_eval_batch_size: 16
  • 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

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.0001 0.42 7000 0.0000 0.1174 -11.2894 1.0 11.4068 -1167.1736 -47.6243 -2.9079 -2.9350
0.0002 0.83 14000 0.0000 0.1971 -11.1349 1.0 11.3320 -1151.7302 -39.6554 -2.9320 -2.9443

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2