metadata

license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
model-index:
  - name: zephyr-7b-dpo-full
    results: []

zephyr-7b-dpo-full

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.5026
Rewards/chosen: -1.0472
Rewards/rejected: -1.9901
Rewards/accuracies: 0.7619
Rewards/margins: 0.9430
Logps/rejected: -460.7913
Logps/chosen: -388.8264
Logits/rejected: 1.7625
Logits/chosen: 1.0392

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: 615
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
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

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5736	0.21	100	0.5842	-0.3837	-0.8468	0.7242	0.4632	-346.4596	-322.4754	-2.3510	-2.4330
0.5116	0.42	200	0.5308	-0.9042	-1.7331	0.7520	0.8289	-435.0859	-374.5288	0.5012	0.0459
0.5027	0.63	300	0.5084	-0.8877	-1.7467	0.7639	0.8590	-436.4478	-372.8834	1.8224	1.1385
0.4823	0.84	400	0.5037	-1.1953	-2.1521	0.7619	0.9568	-476.9852	-403.6375	1.9978	1.3075

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.0