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: 0.1130
Rewards/chosen: -3.7732
Rewards/rejected: -13.4408
Rewards/accuracies: 0.8644
Rewards/margins: 9.6676
Logps/rejected: -173.6967
Logps/chosen: -189.7024
Logits/rejected: -2.8645
Logits/chosen: -2.9068

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: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
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
0.1262	0.62	500	0.1185	-3.0114	-12.1820	0.8670	9.1707	-171.1792	-188.1787	-2.8565	-2.9004

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0

weijie210/zephyr-7b-UC-0-B0.5

zephyr-7b-UC-0-B0.5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

weijie210/
zephyr-7b-UC-0-B0.5