LBK95/Llama-2-7b-hf-DPO-Filtered-0.2-version-4

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Llama-2-7b-hf-DPO-Filtered-0.2-version-4

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4722
• —Rewards/chosen: -4.6553
• —Rewards/rejected: -7.8727
• —Rewards/accuracies: 0.8500
• —Rewards/margins: 3.2174
• —Logps/rejected: -130.0573
• —Logps/chosen: -99.6505
• —Logits/rejected: -1.6599
• —Logits/chosen: -1.6641

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-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 10
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1