This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5029
Rewards/chosen: -1.1300
Rewards/rejected: -1.9954
Rewards/accuracies: 0.75
Rewards/margins: 0.8654
Logps/rejected: -427.3289
Logps/chosen: -335.3676
Logits/rejected: -1.9689
Logits/chosen: -2.0651

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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
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: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5625	0.2060	100	0.5413	-1.0460	-1.5393	0.6875	0.4932	-381.7129	-326.9707	-2.4726	-2.5375
0.5145	0.4119	200	0.5226	-1.0460	-1.7939	0.7656	0.7479	-407.1714	-326.9680	-2.1622	-2.2436
0.4948	0.6179	300	0.5165	-0.9692	-1.7757	0.75	0.8064	-405.3522	-319.2909	-2.0477	-2.1379
0.4931	0.8239	400	0.5051	-1.0779	-1.9119	0.75	0.8340	-418.9738	-330.1579	-2.0159	-2.1084

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.20.0

tongliuphysics/zephyr0-7b-ultra-p-0.05

zephyr0-7b-ultra-p-0.05

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tongliuphysics/
zephyr0-7b-ultra-p-0.05