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: 1.4620
Rewards/chosen: 0.0030
Rewards/rejected: -0.4304
Rewards/accuracies: 0.6567
Rewards/margins: 0.4333
Logps/rejected: -1.1707
Logps/chosen: -0.9787
Logits/rejected: -2.5663
Logits/chosen: -2.5970

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: 7e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 256
total_eval_batch_size: 32
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
1.5227	0.4187	100	1.5170	-0.1196	-0.4168	0.6171	0.2973	-1.1694	-0.9909	-2.7338	-2.7507
1.4499	0.8375	200	1.4662	-0.0161	-0.4509	0.6528	0.4348	-1.1728	-0.9806	-2.5333	-2.5646

Framework versions

Transformers 4.43.1
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1

aaaalongaa/zephyr-7b-mypo3_sim-full-beta10.0-lr7e-6

zephyr-7b-mypo3_sim-full-beta10.0-lr7e-6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aaaalongaa/
zephyr-7b-mypo3_sim-full-beta10.0-lr7e-6