lima_dpo_fine_tune / README.md
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Joyqiuyue/lima_dpo_fine_tune
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metadata
library_name: peft
tags:
  - trl
  - dpo
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
  - name: lima_dpo_fine_tune
    results: []

lima_dpo_fine_tune

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • training_steps: 50

Training results

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2