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

Loss: 0.5055
Rewards/chosen: -0.9459
Rewards/rejected: -1.9033
Rewards/accuracies: 0.7812
Rewards/margins: 0.9573
Logps/rejected: -452.9886
Logps/chosen: -357.2234
Logits/rejected: 1.2877
Logits/chosen: 0.5168

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
0.5659	0.2092	100	0.5701	-0.7175	-1.2998	0.7148	0.5824	-392.6456	-334.3749	-0.7859	-0.9821
0.5493	0.4184	200	0.5264	-0.7175	-1.5459	0.7734	0.8284	-417.2501	-334.3752	0.2805	-0.3142
0.493	0.6276	300	0.5119	-0.9435	-1.8186	0.7617	0.8751	-444.5215	-356.9808	1.2687	0.5290
0.5014	0.8368	400	0.5055	-0.9459	-1.9033	0.7812	0.9573	-452.9886	-357.2234	1.2877	0.5168

Framework versions

Transformers 4.43.1
Pytorch 2.1.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1

sruthigorantla/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

sruthigorantla/
zephyr-7b-dpo-full