RichardErkhov/alignment-handbook_-_zephyr-7b-dpo-full-gguf

Quantization made by Richard Erkhov.

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zephyr-7b-dpo-full - GGUF

• —Model creator: https://huggingface.co/alignment-handbook/
• —Original model: https://huggingface.co/alignment-handbook/zephyr-7b-dpo-full/

Original model description: --- license: apache-2.0 base_model: alignment-handbook/zephyr-7b-sft-full tags:

• —alignment-handbook
• —generatedfromtrainer
• —trl
• —dpo
• —generatedfromtrainer datasets:
• —HuggingFaceH4/ultrafeedback_binarized model-index:
• —name: zephyr-7b-dpo-full results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

zephyr-7b-dpo-full

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5042
• —Rewards/chosen: -1.0500
• —Rewards/rejected: -2.0480
• —Rewards/accuracies: 0.7539
• —Rewards/margins: 0.9980
• —Logps/rejected: -468.1450
• —Logps/chosen: -368.4135
• —Logits/rejected: 2.3821
• —Logits/chosen: 1.6141

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: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 64
• —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

• —Transformers 4.36.2
• —Pytorch 2.1.2+cu121
• —Datasets 2.14.6
• —Tokenizers 0.15.0