PerrosVSgatos_openai_clip-vit-large-patch14

julenalvaro/PerrosVSgatos_openai_clip-vit-large-patch14

PerrosVSgatos_openai_clip-vit-large-patch14 is a image classification model from julenalvaro. Use it when you need a label for an image. It is set up for transformers.

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

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At a glance

Task: Image Classification
Library: transformers
Model type: vit
Access: Public
Created: Jan 4, 2023
Updated: Jan 4, 2023
SHA: a4135dcd

Model card

From the Hugging Face model README

cat_vs_dogs_vit_model

This model is a fine-tuned version of openai/clip-vit-large-patch14 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6518
Accuracy: 0.6095

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.771	0.5	500	0.6933	0.4995
0.6967	1.0	1000	0.6882	0.556
0.695	1.5	1500	0.6728	0.581
0.6733	2.0	2000	0.6950	0.5915
0.6768	2.5	2500	0.6694	0.5855
0.6639	3.0	3000	0.6829	0.5795
0.652	3.5	3500	0.6637	0.5925
0.642	4.0	4000	0.6518	0.6095

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: vit
Created: Jan 4, 2023
Updated: Jan 4, 2023