thorirhrafn/llama_DPO_model

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llamaDPOmodel

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2506
• —Rewards/chosen: 0.2764
• —Rewards/rejected: -1.0388
• —Rewards/accuracies: 1.0
• —Rewards/margins: 1.3152
• —Logps/rejected: -194.5943
• —Logps/chosen: -156.0318
• —Logits/rejected: -1.0532
• —Logits/chosen: -0.8577

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.38.1
• —Pytorch 2.2.0+cu118
• —Datasets 2.17.1
• —Tokenizers 0.15.2