Mastane/zephyr-7b-ipo-lora

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zephyr-7b-ipo-lora

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 18.0888
• —Rewards/chosen: 0.0201
• —Rewards/rejected: -0.1194
• —Rewards/accuracies: 0.7320
• —Rewards/margins: 0.1395
• —Logps/rejected: -212.8609
• —Logps/chosen: -268.5415
• —Logits/rejected: -2.3003
• —Logits/chosen: -2.6873

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
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.36.1
• —Pytorch 2.1.2+cu121
• —Datasets 2.14.6
• —Tokenizers 0.15.0

Training procedure

Framework versions

• —PEFT 0.6.1