This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.4880
Rewards/chosen: -2.3992
Rewards/rejected: -3.5901
Rewards/accuracies: 0.7852
Rewards/margins: 1.1909
Logps/rejected: -625.0401
Logps/chosen: -505.8276
Logits/rejected: -1.6983
Logits/chosen: -1.7589

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: 8
gradient_accumulation_steps: 4
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
0.4749	0.9984	477	0.4880	-2.3992	-3.5901	0.7852	1.1909	-625.0401	-505.8276	-1.6983	-1.7589

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+rocm6.2
Datasets 3.2.0
Tokenizers 0.20.3

li-muyang/zephyr-7b-dpo-full

zephyr-7b-dpo-full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

li-muyang/
zephyr-7b-dpo-full