conisoft-img-2024

carlosGallardo/conisoft-img-2024

conisoft-img-2024 is a image classification model from carlosGallardo. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

85.9M

1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors344 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Oct 29, 2024
Updated: Oct 29, 2024
SHA: b4b075bf

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

conisoft-img-2024

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3602
Accuracy: 0.858

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4895	0.992	31	3.2504	0.777
2.6846	1.984	62	2.5645	0.817
2.3926	2.976	93	2.3602	0.858

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Oct 29, 2024
Updated: Oct 29, 2024