This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2016
Rewards/chosen: -5.9224
Rewards/rejected: -7.8036
Rewards/accuracies: 0.7380
Rewards/margins: 1.8812
Logps/rejected: -3.9018
Logps/chosen: -2.9612
Logits/rejected: -1.8800
Logits/chosen: -1.8679

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: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
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	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
1.2816	0.8375	400	1.2016	-5.9224	-7.8036	0.7380	1.8812	-3.9018	-2.9612	-1.8800	-1.8679

Framework versions

Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.14.6
Tokenizers 0.20.1

Wenboz/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

Wenboz/
zephyr-7b-dpo-full