README.md

metadata

base_model: dmis-lab/selfbiorag_7b
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: selfbiorag-7b-dpo-full-wo-healthsearch_qa-ep3
    results: []

selfbiorag-7b-dpo-full-wo-healthsearch_qa-ep3

This model is a fine-tuned version of dmis-lab/selfbiorag_7b 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: 5e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_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: 3

Training results

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2