colSmol-500M_ufo

Oysiyl/colSmol-500M_ufo

colSmol-500M_ufo is a machine learning model from Oysiyl. 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 mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: May 9, 2025
Updated: May 9, 2025
SHA: 861712b1

Base models

vidore/ColSmolVLM-Instruct-500M-base

Model card

From the Hugging Face model README

colSmol-500M_ufo

This model is a fine-tuned version of vidore/ColSmolVLM-Instruct-500M-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0878

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: 8
seed: 42
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1306	0.1636	80	0.1418
0.0751	0.3272	160	0.1086
0.0823	0.4908	240	0.0912
0.0513	0.6544	320	0.0887
0.0475	0.8180	400	0.0865
0.0572	0.9816	480	0.0878

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0

Library: peft
License: mit
Created: May 9, 2025
Updated: May 9, 2025