LBK95/Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1

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Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1

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: 0.5471
• —Rewards/chosen: -0.1206
• —Rewards/rejected: -0.1280
• —Rewards/accuracies: 0.6500
• —Rewards/margins: 0.0074
• —Logps/rejected: -1.2803
• —Logps/chosen: -1.2064
• —Logits/rejected: -1.4351
• —Logits/chosen: -1.4353
• —Nll Loss: 0.4721
• —Log Odds Ratio: -0.7502
• —Log Odds Chosen: 0.0744

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: 8e-06
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —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