This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the YuchenLi01/MATH_Qwen2.5-1.5BInstruct_DPO_MoreUniqueResponseNoGTv3pair1 dataset. It achieves the following results on the evaluation set:

Loss: 0.6931
Rewards/chosen: 0.0
Rewards/rejected: 0.0
Rewards/accuracies: 0.0
Rewards/margins: 0.0
Logps/rejected: -41.6458
Logps/chosen: -30.1322
Logits/rejected: -2.2238
Logits/chosen: -2.3689

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: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6931	0.1117	20	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.2235	40	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.3352	60	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.4469	80	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.5587	100	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.6704	120	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.7821	140	0.6931	-41.6458	-30.1322	-2.2238	-2.3689
0.6931	0.8939	160	0.6931	-41.6458	-30.1322	-2.2238	-2.3689

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.20.3

YuchenLi01/genv3pair1NoGT_1.5B_cdpo_ebs32_lr5e-07_beta0.0_epoch1.0_42

genv3pair1NoGT_1.5B_cdpo_ebs32_lr5e-07_beta0.0_epoch1.0_42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

YuchenLi01/
genv3pair1NoGT_1.5B_cdpo_ebs32_lr5e-07_beta0.0_epoch1.0_42