PairRM-V2-phi3-3-mini-ultra-feedback-binarized-lora

DongfuJiang/PairRM-V2-phi3-3-mini-ultra-feedback-binarized-lora

PairRM-V2-phi3-3-mini-ultra-feedback-binarized-lora is a machine learning model from DongfuJiang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: mit
Model type: phi3
Access: Public
Created: Jul 25, 2024
Updated: Jul 26, 2024
SHA: 57177f92

Base models

microsoft/Phi-3-mini-128k-instruct

Model card

From the Hugging Face model README

PairRM-V2-phi3-3-mini-ultra-feedback-binarized-lora

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the ultra-feedback-binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.2605

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2858	0.6406	500	0.2640

Framework versions

PEFT 0.11.1
Transformers 4.43.1
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
Type: phi3
License: mit
Created: Jul 25, 2024
Updated: Jul 26, 2024