levit-256-finetuned-flower

momo345/levit-256-finetuned-flower

levit-256-finetuned-flower is a image classification model from momo345. 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. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: levit
Access: Public
Created: Apr 9, 2024
Updated: Apr 9, 2024
SHA: f07a1383

Base models

facebook/levit-256

Datasets

imagefolder

Model card

From the Hugging Face model README

levit-256-finetuned-flower

This model is a fine-tuned version of facebook/levit-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1677
Accuracy: 0.9521
Precision: 0.9523
Recall: 0.9521
F1: 0.9518

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: 0.005
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.599	1.0	40	0.5907	0.8207	0.8515	0.8207	0.8219
0.7842	2.0	80	1.4800	0.6693	0.7271	0.6693	0.6607
0.7716	3.0	120	0.8614	0.7554	0.7853	0.7554	0.7544
0.5976	4.0	160	0.5576	0.8243	0.8470	0.8243	0.8260
0.488	5.0	200	0.4656	0.8555	0.8724	0.8555	0.8546
0.4871	6.0	240	0.4387	0.8672	0.8823	0.8672	0.8672
0.3606	7.0	280	0.3041	0.9045	0.9053	0.9045	0.9034
0.3159	8.0	320	0.3283	0.8976	0.9022	0.8976	0.8961
0.3078	9.0	360	0.2848	0.9125	0.9156	0.9125	0.9124
0.2922	10.0	400	0.2526	0.9180	0.9212	0.9180	0.9184
0.2412	11.0	440	0.2367	0.9281	0.9306	0.9281	0.9280
0.2095	12.0	480	0.2283	0.9314	0.9323	0.9314	0.9305
0.1786	13.0	520	0.1890	0.9408	0.9412	0.9408	0.9408
0.123	14.0	560	0.2071	0.9383	0.9398	0.9383	0.9382
0.1481	15.0	600	0.1854	0.9426	0.9433	0.9426	0.9426
0.125	16.0	640	0.2051	0.9376	0.9400	0.9376	0.9373
0.1135	17.0	680	0.1785	0.9495	0.9496	0.9495	0.9495
0.0815	18.0	720	0.1655	0.9539	0.9542	0.9539	0.9538
0.0784	19.0	760	0.1707	0.9525	0.9527	0.9525	0.9521
0.0905	20.0	800	0.1677	0.9521	0.9523	0.9521	0.9518

Framework versions

Transformers 4.39.3
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image Classification
Library: transformers
Type: levit
License: apache-2.0
Created: Apr 9, 2024
Updated: Apr 9, 2024