ft_paligemma2_cwv

sseongsukim/ft_paligemma2_cwv

ft_paligemma2_cwv is a machine learning model from sseongsukim. 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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Repo size

47.6 MB

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Hugging Face

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.safetensors47.6 MB · 100%

At a glance

Library: peft
License: gemma
Access: Public
Created: Apr 7, 2025
Updated: Apr 7, 2025
SHA: 98a8f901

Base models

google/paligemma2-3b-pt-224

Model card

From the Hugging Face model README

ft_paligemma2_cwv

This model is a fine-tuned version of google/paligemma2-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0617

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: 0.0002
train_batch_size: 7
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 28
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
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2092	0.2356	100	0.0749
0.0615	0.4711	200	0.0742
0.0557	0.7067	300	0.0625
0.051	0.9423	400	0.0669
0.0418	1.1767	500	0.0567
0.0384	1.4122	600	0.0690
0.0309	1.6478	700	0.0470
0.0271	1.8834	800	0.0559
0.0201	2.1178	900	0.0498
0.0154	2.3534	1000	0.0617

Framework versions

PEFT 0.15.1
Transformers 4.48.0
Pytorch 2.5.1
Datasets 3.5.0
Tokenizers 0.21.1

Library: peft
License: gemma
Created: Apr 7, 2025
Updated: Apr 7, 2025