YYYYYYibo/zephyr-7b-dpo-qlora-training-on-full-binary

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zephyr-7b-dpo-qlora-training-on-full-binary

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the updated and the original datasets. It achieves the following results on the evaluation set:

• —Loss: 0.5386
• —Rewards/chosen: -0.9159
• —Rewards/rejected: -1.5101
• —Rewards/accuracies: 0.6960
• —Rewards/margins: 0.5943
• —Logps/rejected: -392.2019
• —Logps/chosen: -355.0374
• —Logits/rejected: 0.1234
• —Logits/chosen: -0.3064

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-06
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.7.1
• —Transformers 4.36.2
• —Pytorch 2.2.2+cu121
• —Datasets 2.14.6
• —Tokenizers 0.15.2