RichardErkhov/NicholasCorrado_-_zephyr-7b-uf-rlced-conifer-dpo-2e-gguf

Quantization made by Richard Erkhov.

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zephyr-7b-uf-rlced-conifer-dpo-2e - GGUF

• —Model creator: https://huggingface.co/NicholasCorrado/
• —Original model: https://huggingface.co/NicholasCorrado/zephyr-7b-uf-rlced-conifer-dpo-2e/

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

• —alignment-handbook
• —trl
• —dpo
• —generatedfromtrainer
• —trl
• —dpo
• —generatedfromtrainer datasets:
• —data/ufrlcedconifer model-index:
• —name: zephyr-7b-uf-rlced-conifer-dpo-2e 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-uf-rlced-conifer-dpo-2e

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

• —Loss: 0.2466
• —Rewards/chosen: -4.8588
• —Rewards/rejected: -13.2530
• —Rewards/accuracies: 0.8966
• —Rewards/margins: 8.3941
• —Logps/rejected: -1735.4203
• —Logps/chosen: -870.4680
• —Logits/rejected: 4.3075
• —Logits/chosen: 1.8380

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: 4
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.44.1
• —Pytorch 2.1.2+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1