dpo_v4_reseve_v1

This model is a fine-tuned version of davidkim205/nox-solar-10.7b-v4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2529
• Rewards/chosen: 1.8018
• Rewards/rejected: -2.8948
• Rewards/accuracies: 0.5640
• Rewards/margins: 4.6966
• Logps/rejected: -431.3928
• Logps/chosen: -361.0608
• Logits/rejected: -2.2914
• Logits/chosen: -2.3061

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• 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
1.5803	1.0	4750	1.2529	1.8018	-2.8948	0.5640	4.6966	-431.3928	-361.0608	-2.2914	-2.3061

Framework versions

• PEFT 0.5.0
• Transformers 4.39.3
• Pytorch 2.1.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2