RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr5e-06_bs2_g4

Holarissun/RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr5e-06_bs2_g4

RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr5e-06_bs2_g4 is a machine learning model from Holarissun. 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 gemma.

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: gemma
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 0e2a2d3f

Base models

google/gemma-2b

Model card

From the Hugging Face model README

RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr5e-06_bs2_g4

This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1054
Accuracy: 0.961

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
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1443	1.0	2250	0.1540	0.942
0.0906	2.0	4500	0.1054	0.961

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: May 3, 2024
Updated: May 3, 2024