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: 0.5004
• Rewards/chosen: -1.0684
• Rewards/rejected: -2.0671
• Rewards/accuracies: 0.7852
• Rewards/margins: 0.9987
• Logps/rejected: -469.3939
• Logps/chosen: -369.4198
• Logits/rejected: 0.7735
• Logits/chosen: -0.2945

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: 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
0.5644	0.2092	100	0.5693	-0.4760	-0.9833	0.75	0.5073	-361.0131	-310.1760	-1.6463	-1.8042
0.5482	0.4184	200	0.5285	-0.5789	-1.3324	0.7812	0.7535	-395.9196	-320.4612	-1.1108	-1.6512
0.4952	0.6276	300	0.5067	-1.0198	-1.9482	0.7734	0.9284	-457.5016	-364.5515	0.5574	-0.3940
0.5037	0.8368	400	0.5006	-1.0395	-2.0108	0.7852	0.9713	-463.7658	-366.5239	0.6358	-0.3905

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0a0+f70bd71a48.nv24.06
• Datasets 2.18.0
• Tokenizers 0.20.0