metadata

base_model: Minbyul/selfbiorag-7b-wo-healthsearch_qa-sft
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
model-index:
  - name: selfbiorag-7b-dpo-full-sft-wo-healthsearch_qa
    results: []

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

This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-healthsearch_qa-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.4465
Rewards/chosen: -0.5929
Rewards/rejected: -1.6772
Rewards/accuracies: 0.7846
Rewards/margins: 1.0843
Logps/rejected: -1480.8429
Logps/chosen: -984.8102
Logits/rejected: -3.4642
Logits/chosen: -2.6475

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
Datasets 2.14.6
Tokenizers 0.15.2