cvt-13-finetuned-flower

momo345/cvt-13-finetuned-flower

cvt-13-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: cvt
Access: Public
Created: Apr 9, 2024
Updated: Apr 9, 2024
SHA: d0f9fedd

Base models

microsoft/cvt-13

Datasets

imagefolder

Model card

From the Hugging Face model README

cvt-13-finetuned-flower

This model is a fine-tuned version of microsoft/cvt-13 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.2151
Accuracy: 0.9368
Precision: 0.9375
Recall: 0.9368
F1: 0.9342

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
1.0555	1.0	40	0.3933	0.8766	0.8828	0.8766	0.8713
1.1941	2.0	80	1.0797	0.6726	0.7515	0.6726	0.6546
1.2286	3.0	120	0.8459	0.7347	0.7820	0.7347	0.7343
1.209	4.0	160	0.6660	0.7880	0.8173	0.7880	0.7833
1.1158	5.0	200	0.7348	0.7597	0.7809	0.7597	0.7561
1.1113	6.0	240	0.6387	0.8062	0.8164	0.8062	0.7986
1.0332	7.0	280	0.6555	0.7887	0.8064	0.7887	0.7831
1.0234	8.0	320	0.5776	0.8276	0.8447	0.8276	0.8177
0.9997	9.0	360	0.5784	0.8214	0.8421	0.8214	0.8169
0.9421	10.0	400	0.4667	0.8486	0.8600	0.8486	0.8453
0.9057	11.0	440	0.4508	0.8541	0.8711	0.8541	0.8487
0.8662	12.0	480	0.3517	0.8911	0.8938	0.8911	0.8868
0.8341	13.0	520	0.3191	0.8976	0.9021	0.8976	0.8945
0.757	14.0	560	0.2785	0.9183	0.9199	0.9183	0.9144
0.7906	15.0	600	0.2698	0.9201	0.9218	0.9201	0.9172
0.7464	16.0	640	0.2594	0.9216	0.9232	0.9216	0.9188
0.7335	17.0	680	0.2491	0.9263	0.9281	0.9263	0.9240
0.7085	18.0	720	0.2396	0.9303	0.9304	0.9303	0.9272
0.7177	19.0	760	0.2171	0.9350	0.9355	0.9350	0.9321
0.6735	20.0	800	0.2151	0.9368	0.9375	0.9368	0.9342

Framework versions

Transformers 4.39.3
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.15.2

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