paligemma_vqav2

DepositorOP/paligemma_vqav2

paligemma_vqav2 is a image-text-to-text model from DepositorOP. 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: Sep 16, 2024
Updated: Sep 16, 2024
SHA: 4f0026f6

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Base models

google/paligemma-3b-pt-224

Model card

From the Hugging Face model README

paligemma_vqav2

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: 0.3246

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.559	1.0	100	0.3466
0.3354	2.0	200	0.3246

Framework versions

Transformers 4.44.2
Pytorch 2.1.0+cu118
Datasets 3.0.0
Tokenizers 0.19.1

Task: Image-Text-to-Text
Library: transformers
Type: paligemma
License: gemma
Created: Sep 16, 2024
Updated: Sep 16, 2024