metadata

base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
  - generation/GPT4
library_name: peft
license: apache-2.0
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: zephyr-dpo-qlora-gpt4-5e-7
    results: []

zephyr-dpo-qlora-gpt4-5e-7

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generation/GPT4 dataset. It achieves the following results on the evaluation set:

Loss: 0.6861
Rewards/chosen: -0.0552
Rewards/rejected: -0.0760
Rewards/accuracies: 0.5910
Rewards/margins: 0.0208
Rewards/margins Max: 0.1489
Rewards/margins Min: -0.0942
Rewards/margins Std: 0.0802
Logps/rejected: -266.1821
Logps/chosen: -290.1167
Logits/rejected: -2.7232
Logits/chosen: -2.7609

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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
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	Rewards/margins Max	Rewards/margins Min	Rewards/margins Std	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6666	0.28	100	0.6907	-0.0061	-0.0128	0.5780	0.0067	0.0489	-0.0295	0.0259	-259.8633	-285.2067	-2.7596	-2.7978
0.6251	0.56	200	0.6876	-0.0360	-0.0522	0.5870	0.0162	0.1195	-0.0752	0.0641	-263.7989	-288.1948	-2.7319	-2.7700
0.6029	0.85	300	0.6862	-0.0539	-0.0744	0.5870	0.0206	0.1479	-0.0932	0.0795	-266.0218	-289.9789	-2.7191	-2.7573

Framework versions

PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2