DUAL-GPO/zephyr-7b-ipo-40k-60k-0.001-i2

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zephyr-7b-ipo-40k-60k-0.001-i2

This model is a fine-tuned version of DUAL-GPO/zephyr-7b-ipo-10k-40k-0.001-i1-merged on the HuggingFaceH4/ultrafeedback_binarized dataset.

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: 3
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 12
• —totalevalbatch_size: 6
• —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 2.1.2
• —Datasets 2.14.6
• —Tokenizers 0.15.2