PG2-28b-pt-448-COND_GEN

erlend123/PG2-28b-pt-448-COND_GEN

PG2-28b-pt-448-COND_GEN is a machine learning model from erlend123. 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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17.7 GB on disk

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Hugging Face

Repo makeup

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.safetensors17.5 GB · 100%

Parameter types

How the weights are stored.

U813.2B · 89%

Base models

google/paligemma2-28b-pt-448

Datasets

imagefolder

Model card

From the Hugging Face model README

PG2-28b-pt-448-COND_GEN

This model is a fine-tuned version of google/paligemma2-28b-pt-448 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.4487
Accuracy: 0.7

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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3753	0.2222	400	0.3052	0.7
0.2667	0.4444	800	0.2497	0.73
0.3405	0.6667	1200	0.2686	0.685
0.2995	0.8889	1600	0.2595	0.735
0.0841	1.1111	2000	0.4457	0.725
0.1271	1.3333	2400	0.3524	0.72
0.0906	1.5556	2800	0.4202	0.69
0.0532	1.7778	3200	0.4716	0.68
0.1139	2.0	3600	0.4487	0.7

Framework versions

PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Library: peft
License: gemma
Created: Jan 29, 2025
Updated: Jan 29, 2025