v4

woosterheert/v4

v4 is a image-text-to-text model from woosterheert. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. 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

Task: Image-Text-to-Text
Library: transformers
License: gemma
Model type: paligemma
Access: Public
Created: Feb 5, 2025
Updated: Feb 5, 2025
SHA: c220c048

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Base models

google/paligemma-3b-pt-224

Model card

From the Hugging Face model README

v4

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1302

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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_HF 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1867	1.0	2500	0.1205
0.0812	2.0	5000	0.1371
0.1012	3.0	7500	0.1244
0.1027	4.0	10000	0.1316
0.0475	5.0	12500	0.1302

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Task: Image-Text-to-Text
Library: transformers
Type: paligemma
License: gemma
Created: Feb 5, 2025
Updated: Feb 5, 2025