metadata

license: apache-2.0
library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
  - updated
  - original
model-index:
  - name: nash_dpo_doff_no_golden_iter_3
    results: []

nash_dpo_doff_no_golden_iter_3

This model is a fine-tuned version of YYYYYYibo/nash_dpo_doff_no_golden_iter_2 on the updated and the original datasets. It achieves the following results on the evaluation set:

Loss: 0.6442
Rewards/chosen: 0.1897
Rewards/rejected: 0.0357
Rewards/accuracies: 0.5660
Rewards/margins: 0.1540
Logps/rejected: -292.1758
Logps/chosen: -293.3752
Logits/rejected: -2.4795
Logits/chosen: -2.5852

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: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
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
0.4768	0.62	100	0.6442	0.1897	0.0357	0.5660	0.1540	-292.1758	-293.3752	-2.4795	-2.5852

Framework versions

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