gemma-4b-it-hatebr

g-assismoraes/gemma-4b-it-hatebr

gemma-4b-it-hatebr is a image-text-to-text model from g-assismoraes. 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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8.6 GB on disk

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Hugging Face

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At a glance

Task: Image-Text-to-Text
Library: transformers
License: gemma
Model type: gemma3
Access: Public
Created: Jun 5, 2025
Updated: Jun 5, 2025
SHA: c9e27778

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Base models

google/gemma-3-4b-it

Model card

From the Hugging Face model README

gemma-4b-it-hatebr

This model is a fine-tuned version of google/gemma-3-4b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5977

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: 4
seed: 42
optimizer: Use OptimizerNames.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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.6465	1.0	1120	0.5842
0.4591	2.0	2240	0.5977

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Task: Image-Text-to-Text
Library: transformers
Type: gemma3
License: gemma
Created: Jun 5, 2025
Updated: Jun 5, 2025