checkpoints-2-epochs

3sara/checkpoints-2-epochs

checkpoints-2-epochs is a machine learning model from 3sara. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

118

Public

Repo size

786 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors157 MB · 100%

At a glance

Library: peft
License: gemma
Access: Public
Created: Jun 13, 2025
Updated: Jun 16, 2025
SHA: 3e798f43

Base models

vidore/colpaligemma-3b-pt-448-base

Model card

From the Hugging Face model README

checkpoints-2-epochs

This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the 3sara/validated_colpali_italian_documents_with_images dataset. It achieves the following results on the evaluation set:

Loss: 0.3171

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
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 100
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0103	1	0.3835
0.0863	5.1436	500	0.3171

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1

Library: peft
License: gemma
Created: Jun 13, 2025
Updated: Jun 16, 2025